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February 14, 2026 11:51
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Solution draft log for https://github.com/link-assistant/agent/pull/170
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| # Solve.mjs Log - 2026-02-14T11:23:08.189Z | |
| [2026-02-14T11:23:08.190Z] [INFO] 📁 Log file: /home/hive/solve-2026-02-14T11-23-08-188Z.log | |
| [2026-02-14T11:23:08.191Z] [INFO] (All output will be logged here) | |
| [2026-02-14T11:23:08.683Z] [INFO] | |
| [2026-02-14T11:23:08.683Z] [INFO] 🚀 solve v1.23.1 | |
| [2026-02-14T11:23:08.684Z] [INFO] 🔧 Raw command executed: | |
| [2026-02-14T11:23:08.684Z] [INFO] /home/hive/.nvm/versions/node/v20.20.0/bin/node /home/hive/.bun/bin/solve https://github.com/link-assistant/agent/pull/170 --model opus-4-6 --think max --attach-logs --verbose --no-tool-check --auto-resume-on-limit-reset --tokens-budget-stats | |
| [2026-02-14T11:23:08.685Z] [INFO] | |
| [2026-02-14T11:23:08.704Z] [INFO] | |
| [2026-02-14T11:23:08.704Z] [WARNING] ⚠️ SECURITY WARNING: --attach-logs is ENABLED | |
| [2026-02-14T11:23:08.705Z] [INFO] | |
| [2026-02-14T11:23:08.705Z] [INFO] This option will upload the complete solution draft log file to the Pull Request. | |
| [2026-02-14T11:23:08.706Z] [INFO] The log may contain sensitive information such as: | |
| [2026-02-14T11:23:08.706Z] [INFO] • API keys, tokens, or secrets | |
| [2026-02-14T11:23:08.706Z] [INFO] • File paths and directory structures | |
| [2026-02-14T11:23:08.707Z] [INFO] • Command outputs and error messages | |
| [2026-02-14T11:23:08.707Z] [INFO] • Internal system information | |
| [2026-02-14T11:23:08.707Z] [INFO] | |
| [2026-02-14T11:23:08.707Z] [INFO] ⚠️ DO NOT use this option with public repositories or if the log | |
| [2026-02-14T11:23:08.708Z] [INFO] might contain sensitive data that should not be shared publicly. | |
| [2026-02-14T11:23:08.708Z] [INFO] | |
| [2026-02-14T11:23:08.708Z] [INFO] Continuing in 5 seconds... (Press Ctrl+C to abort) | |
| [2026-02-14T11:23:08.708Z] [INFO] | |
| [2026-02-14T11:23:13.715Z] [INFO] | |
| [2026-02-14T11:23:13.738Z] [INFO] 💾 Disk space check: 53998MB available (2048MB required) ✅ | |
| [2026-02-14T11:23:13.739Z] [INFO] 🧠 Memory check: 9276MB available, swap: 4095MB (0MB used), total: 13371MB (256MB required) ✅ | |
| [2026-02-14T11:23:13.754Z] [INFO] ⏩ Skipping tool connection validation (dry-run mode or skip-tool-connection-check enabled) | |
| [2026-02-14T11:23:13.755Z] [INFO] ⏩ Skipping GitHub authentication check (dry-run mode or skip-tool-connection-check enabled) | |
| [2026-02-14T11:23:13.755Z] [INFO] 📋 URL validation: | |
| [2026-02-14T11:23:13.755Z] [INFO] Input URL: https://github.com/link-assistant/agent/pull/170 | |
| [2026-02-14T11:23:13.755Z] [INFO] Is Issue URL: false | |
| [2026-02-14T11:23:13.756Z] [INFO] Is PR URL: true | |
| [2026-02-14T11:23:13.756Z] [INFO] 🔍 Checking repository access for auto-fork... | |
| [2026-02-14T11:23:14.534Z] [INFO] Repository visibility: public | |
| [2026-02-14T11:23:14.535Z] [INFO] ✅ Auto-fork: Write access detected to public repository, working directly on repository | |
| [2026-02-14T11:23:14.536Z] [INFO] 🔍 Checking repository write permissions... | |
| [2026-02-14T11:23:14.904Z] [INFO] ✅ Repository write access: Confirmed | |
| [2026-02-14T11:23:15.301Z] [INFO] Repository visibility: public | |
| [2026-02-14T11:23:15.302Z] [INFO] Auto-cleanup default: false (repository is public) | |
| [2026-02-14T11:23:15.303Z] [INFO] 🔄 Continue mode: Working with PR #170 | |
| [2026-02-14T11:23:15.303Z] [INFO] Continue mode activated: PR URL provided directly | |
| [2026-02-14T11:23:15.303Z] [INFO] PR Number set to: 170 | |
| [2026-02-14T11:23:15.304Z] [INFO] Will fetch PR details and linked issue | |
| [2026-02-14T11:23:15.704Z] [INFO] 📝 PR branch: issue-169-ed3644c88604 | |
| [2026-02-14T11:23:15.706Z] [INFO] 🔗 Found linked issue #169 | |
| [2026-02-14T11:23:15.707Z] [INFO] | |
| Creating temporary directory: /tmp/gh-issue-solver-1771068195706 | |
| [2026-02-14T11:23:15.710Z] [INFO] | |
| 📥 Cloning repository: link-assistant/agent | |
| [2026-02-14T11:23:16.866Z] [INFO] ✅ Cloned to: /tmp/gh-issue-solver-1771068195706 | |
| [2026-02-14T11:23:17.034Z] [INFO] | |
| 📌 Default branch: main | |
| [2026-02-14T11:23:17.101Z] [INFO] | |
| 🔄 Checking out PR branch: issue-169-ed3644c88604 | |
| [2026-02-14T11:23:17.102Z] [INFO] 📥 Fetching branches: From remote... | |
| [2026-02-14T11:23:17.509Z] [INFO] 🔍 Verifying: Branch checkout... | |
| [2026-02-14T11:23:17.551Z] [INFO] ✅ Branch checked out: issue-169-ed3644c88604 | |
| [2026-02-14T11:23:17.552Z] [INFO] ✅ Current branch: issue-169-ed3644c88604 | |
| [2026-02-14T11:23:17.552Z] [INFO] Branch operation: Checkout existing PR branch | |
| [2026-02-14T11:23:17.552Z] [INFO] Branch verification: Matches expected | |
| [2026-02-14T11:23:17.556Z] [INFO] | |
| 🔄 Continue mode: ACTIVE | |
| [2026-02-14T11:23:17.556Z] [INFO] Using existing PR: #170 | |
| [2026-02-14T11:23:17.557Z] [INFO] PR URL: https://github.com/link-assistant/agent/pull/170 | |
| [2026-02-14T11:23:17.557Z] [INFO] | |
| 🚀 Starting work session: 2026-02-14T11:23:17.557Z | |
| [2026-02-14T11:23:17.945Z] [INFO] 📝 Converting PR: Back to draft mode... | |
| [2026-02-14T11:23:18.781Z] [INFO] ✅ PR converted: Now in draft mode | |
| [2026-02-14T11:23:19.960Z] [INFO] 💬 Posted: AI Work Session Started comment | |
| [2026-02-14T11:23:20.279Z] [INFO] 👤 Current user: konard | |
| [2026-02-14T11:23:20.280Z] [INFO] | |
| 📊 Comment counting conditions: | |
| [2026-02-14T11:23:20.280Z] [INFO] prNumber: 170 | |
| [2026-02-14T11:23:20.280Z] [INFO] branchName: issue-169-ed3644c88604 | |
| [2026-02-14T11:23:20.281Z] [INFO] isContinueMode: true | |
| [2026-02-14T11:23:20.281Z] [INFO] Will count comments: true | |
| [2026-02-14T11:23:20.281Z] [INFO] 💬 Counting comments: Checking for new comments since last commit... | |
| [2026-02-14T11:23:20.281Z] [INFO] PR #170 on branch: issue-169-ed3644c88604 | |
| [2026-02-14T11:23:20.281Z] [INFO] Owner/Repo: link-assistant/agent | |
| [2026-02-14T11:23:20.731Z] [INFO] 📅 Last commit time (from API): 2026-02-14T11:08:50.000Z | |
| [2026-02-14T11:23:21.603Z] [INFO] 💬 New PR comments: 2 | |
| [2026-02-14T11:23:21.603Z] [INFO] 💬 New PR review comments: 0 | |
| [2026-02-14T11:23:21.604Z] [INFO] 💬 New issue comments: 0 | |
| [2026-02-14T11:23:21.604Z] [INFO] Total new comments: 2 | |
| [2026-02-14T11:23:21.604Z] [INFO] Comment lines to add: Yes | |
| [2026-02-14T11:23:21.604Z] [INFO] PR review comments fetched: 0 | |
| [2026-02-14T11:23:21.604Z] [INFO] PR conversation comments fetched: 8 | |
| [2026-02-14T11:23:21.604Z] [INFO] Total PR comments checked: 8 | |
| [2026-02-14T11:23:24.422Z] [INFO] Feedback info will be added to prompt: | |
| [2026-02-14T11:23:24.422Z] [INFO] - New comments on the pull request: 2 | |
| [2026-02-14T11:23:24.422Z] [INFO] - Pull request description was edited after last commit | |
| [2026-02-14T11:23:24.422Z] [INFO] 📅 Getting timestamps: From GitHub servers... | |
| [2026-02-14T11:23:24.803Z] [INFO] 📝 Issue updated: 2026-02-14T10:14:34.000Z | |
| [2026-02-14T11:23:25.098Z] [INFO] 💬 Comments: None found | |
| [2026-02-14T11:23:25.481Z] [INFO] 🔀 Recent PR: 2026-02-14T10:15:10.000Z | |
| [2026-02-14T11:23:25.482Z] [INFO] | |
| ✅ Reference time: 2026-02-14T10:15:10.000Z | |
| [2026-02-14T11:23:25.482Z] [INFO] | |
| 🔍 Checking for uncommitted changes to include as feedback... | |
| [2026-02-14T11:23:25.531Z] [INFO] ✅ No uncommitted changes found | |
| [2026-02-14T11:23:28.059Z] [INFO] 🎭 Playwright MCP detected - enabling browser automation hints | |
| [2026-02-14T11:23:28.180Z] [INFO] 👁️ Model vision capability: supported | |
| [2026-02-14T11:23:28.181Z] [INFO] | |
| 📝 Final prompt structure: | |
| [2026-02-14T11:23:28.182Z] [INFO] Characters: 371 | |
| [2026-02-14T11:23:28.182Z] [INFO] System prompt characters: 12721 | |
| [2026-02-14T11:23:28.182Z] [INFO] Feedback info: Included | |
| [2026-02-14T11:23:28.184Z] [INFO] | |
| 🤖 Executing Claude: OPUS-4-6 | |
| [2026-02-14T11:23:28.184Z] [INFO] Model: sonnet | |
| [2026-02-14T11:23:28.185Z] [INFO] Working directory: /tmp/gh-issue-solver-1771068195706 | |
| [2026-02-14T11:23:28.185Z] [INFO] Branch: issue-169-ed3644c88604 | |
| [2026-02-14T11:23:28.185Z] [INFO] Prompt length: 371 chars | |
| [2026-02-14T11:23:28.185Z] [INFO] System prompt length: 12721 chars | |
| [2026-02-14T11:23:28.186Z] [INFO] Feedback info included: Yes (2 lines) | |
| [2026-02-14T11:23:28.241Z] [INFO] 📈 System resources before execution: | |
| [2026-02-14T11:23:28.241Z] [INFO] Memory: MemFree: 8816040 kB | |
| [2026-02-14T11:23:28.242Z] [INFO] Load: 0.28 0.13 0.10 1/441 70616 | |
| [2026-02-14T11:23:28.242Z] [INFO] | |
| 📝 Raw command: | |
| [2026-02-14T11:23:28.242Z] [INFO] (cd "/tmp/gh-issue-solver-1771068195706" && claude --output-format stream-json --verbose --dangerously-skip-permissions --model claude-opus-4-6 -p "Issue to solve: https://github.com/link-assistant/agent/issues/169 | |
| Your prepared branch: issue-169-ed3644c88604 | |
| Your prepared working directory: /tmp/gh-issue-solver-1771068195706 | |
| Your prepared Pull Request: https://github.com/link-assistant/agent/pull/170 | |
| New comments on the pull request: 2 | |
| Pull request description was edited after last commit | |
| Ultrathink. | |
| Continue. | |
| " --append-system-prompt "You are an AI issue solver. You prefer to find the root cause of each and every issue. When you talk, you prefer to speak with facts which you have double-checked yourself or cite sources that provide evidence, like quote actual code or give references to documents or pages found on the internet. You are polite and patient, and prefer to assume good intent, trying your best to be helpful. If you are unsure or have assumptions, you prefer to test them yourself or ask questions to clarify requirements. | |
| You always ultrathink on every step. | |
| General guidelines. | |
| - When you execute commands, always save their logs to files for easier reading if the output becomes large. | |
| - When running commands, do not set a timeout yourself — let them run as long as needed (default timeout - 2 minutes is more than enough), and once they finish, review the logs in the file. | |
| - When running sudo commands (especially package installations like apt-get, yum, npm install, etc.), always run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command. | |
| - When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps: | |
| Step 1: List recent runs with timestamps using: gh run list --repo link-assistant/agent --branch issue-169-ed3644c88604 --limit 5 --json databaseId,conclusion,createdAt,headSha | |
| Step 2: Verify runs are after the latest commit by checking timestamps and SHA | |
| Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo link-assistant/agent --log > ci-logs/{workflow}-{run-id}.log | |
| Step 4: Read each downloaded log file using Read tool to understand the actual failures | |
| Step 5: Report findings with specific errors and line numbers from logs | |
| This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR. | |
| Note: If user says \"failing\" but tools show \"passing\", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy. | |
| - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines. | |
| - When facing a complex problem, do as much tracing as possible and turn on all verbose modes. | |
| - When you create debug, test, or example/experiment scripts for fixing, always keep them in an ./examples and/or ./experiments folders so you can reuse them later. | |
| - When testing your assumptions, use the experiment scripts, and add it to ./experiments folder. | |
| - When your experiments can show real world use case of the software, add it to ./examples folder. | |
| - When you face something extremely hard, use divide and conquer — it always helps. | |
| Initial research. | |
| - When you start, make sure you create detailed plan for yourself and follow your todo list step by step, make sure that as many points from these guidelines are added to your todo list to keep track of everything that can help you solve the issue with highest possible quality. | |
| - When user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) List recent CI runs with timestamps, (2) Download logs from failed runs to ci-logs/ directory, (3) Analyze error messages and identify root cause, (4) Implement fix, (5) Verify fix resolves the specific errors found in logs. | |
| - When you read issue, read all details and comments thoroughly. | |
| - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, use WebFetch tool (or fetch tool) to download the image first, then use Read tool to view and analyze it. IMPORTANT: Before reading downloaded images with the Read tool, verify the file is a valid image (not HTML). Use a CLI tool like 'file' command to check the actual file format. Reading corrupted or non-image files (like GitHub's HTML 404 pages saved as .png) can cause \"Could not process image\" errors and may crash the AI solver process. If the file command shows \"HTML\" or \"text\", the download failed and you should retry or skip the image. | |
| - When you need issue details, use gh issue view https://github.com/link-assistant/agent/issues/169. | |
| - When you need related code, use gh search code --owner link-assistant [keywords]. | |
| - When you need repo context, read files in your working directory. | |
| - When you study related work, study the most recent related pull requests. | |
| - When issue is not defined enough, write a comment to ask clarifying questions. | |
| - When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication. | |
| - When you are fixing a bug, please make sure you first find the actual root cause, do as many experiments as needed. | |
| - When you are fixing a bug and code does not have enough tracing/logs, add them and make sure they stay in the code, but are switched off by default. | |
| - When you need comments on a pull request, note that GitHub has THREE different comment types with different API endpoints: | |
| 1. PR review comments (inline code comments): gh api repos/link-assistant/agent/pulls/170/comments --paginate | |
| 2. PR conversation comments (general discussion): gh api repos/link-assistant/agent/issues/170/comments --paginate | |
| 3. PR reviews (approve/request changes): gh api repos/link-assistant/agent/pulls/170/reviews --paginate | |
| IMPORTANT: The command \"gh pr view --json comments\" ONLY returns conversation comments and misses review comments! | |
| - When you need latest comments on issue, use gh api repos/link-assistant/agent/issues/169/comments --paginate. | |
| Solution development and testing. | |
| - When issue is solvable, implement code with tests. | |
| - When implementing features, search for similar existing implementations in the codebase and use them as examples instead of implementing everything from scratch. | |
| - When coding, each atomic step that can be useful by itself should be commited to the pull request's branch, meaning if work will be interrupted by any reason parts of solution will still be kept intact and safe in pull request. | |
| - When you test: | |
| start from testing of small functions using separate scripts; | |
| write unit tests with mocks for easy and quick start. | |
| - When you test integrations, use existing framework. | |
| - When you test solution draft, include automated checks in pr. | |
| - When issue is unclear, write comment on issue asking questions. | |
| - When you encounter any problems that you unable to solve yourself (any human feedback or help), write a comment to the pull request asking for help. | |
| - When you need human help, use gh pr comment 170 --body \"your message\" to comment on existing PR. | |
| Preparing pull request. | |
| - When you code, follow contributing guidelines. | |
| - When you commit, write clear message. | |
| - When you need examples of style, use gh pr list --repo link-assistant/agent --state merged --search [keywords]. | |
| - When you open pr, describe solution draft and include tests. | |
| - When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release. | |
| - When you update existing pr 170, use gh pr edit to modify title and description. | |
| - When you are about to commit or push code, ALWAYS run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing. | |
| - When you finalize the pull request: | |
| follow style from merged prs for code, title, and description, | |
| make sure no uncommitted changes corresponding to the original requirements are left behind, | |
| make sure the default branch is merged to the pull request's branch, | |
| make sure all CI checks passing if they exist before you finish, | |
| check for latest comments on the issue and pull request to ensure no recent feedback was missed, | |
| double-check that all changes in the pull request answer to original requirements of the issue, | |
| make sure no new new bugs are introduced in pull request by carefully reading gh pr diff, | |
| make sure no previously existing features were removed without an explicit request from users via the issue description, issue comments, and/or pull request comments. | |
| - When you finish implementation, use gh pr ready 170. | |
| Workflow and collaboration. | |
| - When you check branch, verify with git branch --show-current. | |
| - When you push, push only to branch issue-169-ed3644c88604. | |
| - When you finish, create a pull request from branch issue-169-ed3644c88604. (Note: PR 170 already exists, update it instead) | |
| - When you organize workflow, use pull requests instead of direct merges to default branch (main or master). | |
| - When you manage commits, preserve commit history for later analysis. | |
| - When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed. | |
| - When you face conflict that you cannot resolve yourself, ask for help. | |
| - When you collaborate, respect branch protections by working only on issue-169-ed3644c88604. | |
| - When you mention result, include pull request url or comment url. | |
| - When you need to create pr, remember pr 170 already exists for this branch. | |
| Self review. | |
| - When you check your solution draft, run all tests locally. | |
| - When you check your solution draft, verify git status shows a clean working tree with no uncommitted changes. | |
| - When you compare with repo style, use gh pr diff [number]. | |
| - When you finalize, confirm code, tests, and description are consistent. | |
| GitHub CLI command patterns. | |
| - IMPORTANT: Always use --paginate flag when fetching lists from GitHub API to ensure all results are returned (GitHub returns max 30 per page by default). | |
| - When listing PR review comments (inline code comments), use gh api repos/OWNER/REPO/pulls/NUMBER/comments --paginate. | |
| - When listing PR conversation comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| - When listing PR reviews, use gh api repos/OWNER/REPO/pulls/NUMBER/reviews --paginate. | |
| - When listing issue comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| - When adding PR comment, use gh pr comment NUMBER --body \"text\" --repo OWNER/REPO. | |
| - When adding issue comment, use gh issue comment NUMBER --body \"text\" --repo OWNER/REPO. | |
| - When viewing PR details, use gh pr view NUMBER --repo OWNER/REPO. | |
| - When filtering with jq, use gh api repos/\${owner}/\${repo}/pulls/\${prNumber}/comments --paginate --jq 'reverse | .[0:5]'. | |
| Playwright MCP usage (browser automation via mcp__playwright__* tools). | |
| - When you develop frontend web applications (HTML, CSS, JavaScript, React, Vue, Angular, etc.), use Playwright MCP tools to test the UI in a real browser. | |
| - When WebFetch tool fails to retrieve expected content (e.g., returns empty content, JavaScript-rendered pages, or login-protected pages), use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for web browsing. | |
| - When you need to interact with dynamic web pages that require JavaScript execution, use Playwright MCP tools. | |
| - When you need to visually verify how a web page looks or take screenshots, use browser_take_screenshot from Playwright MCP. | |
| - When you need to fill forms, click buttons, or perform user interactions on web pages, use Playwright MCP tools (browser_click, browser_type, browser_fill_form). | |
| - When you need to test responsive design or different viewport sizes, use browser_resize from Playwright MCP. | |
| - When you finish using the browser, always close it with browser_close to free resources. | |
| Visual UI work and screenshots. | |
| - When you work on visual UI changes (frontend, CSS, HTML, design), include a render or screenshot of the final result in the pull request description. | |
| - When you need to show visual results, take a screenshot and save it to the repository (e.g., in a docs/screenshots/ or assets/ folder). | |
| - When you save screenshots to the repository, use permanent raw file links in the pull request description markdown (e.g., https://raw.githubusercontent.com/link-assistant/agent/issue-169-ed3644c88604/docs/screenshots/result.png). | |
| - When uploading images, commit them to the branch first, then reference them using the raw GitHub URL format. | |
| - When the visual result is important for review, mention it explicitly in the pull request description with the embedded image." | jq -c .) | |
| [2026-02-14T11:23:28.243Z] [INFO] | |
| [2026-02-14T11:23:28.243Z] [INFO] 📋 User prompt: | |
| [2026-02-14T11:23:28.243Z] [INFO] ---BEGIN USER PROMPT--- | |
| [2026-02-14T11:23:28.244Z] [INFO] Issue to solve: https://github.com/link-assistant/agent/issues/169 | |
| Your prepared branch: issue-169-ed3644c88604 | |
| Your prepared working directory: /tmp/gh-issue-solver-1771068195706 | |
| Your prepared Pull Request: https://github.com/link-assistant/agent/pull/170 | |
| New comments on the pull request: 2 | |
| Pull request description was edited after last commit | |
| Ultrathink. | |
| Continue. | |
| [2026-02-14T11:23:28.244Z] [INFO] ---END USER PROMPT--- | |
| [2026-02-14T11:23:28.244Z] [INFO] 📋 System prompt: | |
| [2026-02-14T11:23:28.244Z] [INFO] ---BEGIN SYSTEM PROMPT--- | |
| [2026-02-14T11:23:28.244Z] [INFO] You are an AI issue solver. You prefer to find the root cause of each and every issue. When you talk, you prefer to speak with facts which you have double-checked yourself or cite sources that provide evidence, like quote actual code or give references to documents or pages found on the internet. You are polite and patient, and prefer to assume good intent, trying your best to be helpful. If you are unsure or have assumptions, you prefer to test them yourself or ask questions to clarify requirements. | |
| You always ultrathink on every step. | |
| General guidelines. | |
| - When you execute commands, always save their logs to files for easier reading if the output becomes large. | |
| - When running commands, do not set a timeout yourself — let them run as long as needed (default timeout - 2 minutes is more than enough), and once they finish, review the logs in the file. | |
| - When running sudo commands (especially package installations like apt-get, yum, npm install, etc.), always run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command. | |
| - When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps: | |
| Step 1: List recent runs with timestamps using: gh run list --repo link-assistant/agent --branch issue-169-ed3644c88604 --limit 5 --json databaseId,conclusion,createdAt,headSha | |
| Step 2: Verify runs are after the latest commit by checking timestamps and SHA | |
| Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo link-assistant/agent --log > ci-logs/{workflow}-{run-id}.log | |
| Step 4: Read each downloaded log file using Read tool to understand the actual failures | |
| Step 5: Report findings with specific errors and line numbers from logs | |
| This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR. | |
| Note: If user says "failing" but tools show "passing", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy. | |
| - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines. | |
| - When facing a complex problem, do as much tracing as possible and turn on all verbose modes. | |
| - When you create debug, test, or example/experiment scripts for fixing, always keep them in an ./examples and/or ./experiments folders so you can reuse them later. | |
| - When testing your assumptions, use the experiment scripts, and add it to ./experiments folder. | |
| - When your experiments can show real world use case of the software, add it to ./examples folder. | |
| - When you face something extremely hard, use divide and conquer — it always helps. | |
| Initial research. | |
| - When you start, make sure you create detailed plan for yourself and follow your todo list step by step, make sure that as many points from these guidelines are added to your todo list to keep track of everything that can help you solve the issue with highest possible quality. | |
| - When user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) List recent CI runs with timestamps, (2) Download logs from failed runs to ci-logs/ directory, (3) Analyze error messages and identify root cause, (4) Implement fix, (5) Verify fix resolves the specific errors found in logs. | |
| - When you read issue, read all details and comments thoroughly. | |
| - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, use WebFetch tool (or fetch tool) to download the image first, then use Read tool to view and analyze it. IMPORTANT: Before reading downloaded images with the Read tool, verify the file is a valid image (not HTML). Use a CLI tool like 'file' command to check the actual file format. Reading corrupted or non-image files (like GitHub's HTML 404 pages saved as .png) can cause "Could not process image" errors and may crash the AI solver process. If the file command shows "HTML" or "text", the download failed and you should retry or skip the image. | |
| - When you need issue details, use gh issue view https://github.com/link-assistant/agent/issues/169. | |
| - When you need related code, use gh search code --owner link-assistant [keywords]. | |
| - When you need repo context, read files in your working directory. | |
| - When you study related work, study the most recent related pull requests. | |
| - When issue is not defined enough, write a comment to ask clarifying questions. | |
| - When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication. | |
| - When you are fixing a bug, please make sure you first find the actual root cause, do as many experiments as needed. | |
| - When you are fixing a bug and code does not have enough tracing/logs, add them and make sure they stay in the code, but are switched off by default. | |
| - When you need comments on a pull request, note that GitHub has THREE different comment types with different API endpoints: | |
| 1. PR review comments (inline code comments): gh api repos/link-assistant/agent/pulls/170/comments --paginate | |
| 2. PR conversation comments (general discussion): gh api repos/link-assistant/agent/issues/170/comments --paginate | |
| 3. PR reviews (approve/request changes): gh api repos/link-assistant/agent/pulls/170/reviews --paginate | |
| IMPORTANT: The command "gh pr view --json comments" ONLY returns conversation comments and misses review comments! | |
| - When you need latest comments on issue, use gh api repos/link-assistant/agent/issues/169/comments --paginate. | |
| Solution development and testing. | |
| - When issue is solvable, implement code with tests. | |
| - When implementing features, search for similar existing implementations in the codebase and use them as examples instead of implementing everything from scratch. | |
| - When coding, each atomic step that can be useful by itself should be commited to the pull request's branch, meaning if work will be interrupted by any reason parts of solution will still be kept intact and safe in pull request. | |
| - When you test: | |
| start from testing of small functions using separate scripts; | |
| write unit tests with mocks for easy and quick start. | |
| - When you test integrations, use existing framework. | |
| - When you test solution draft, include automated checks in pr. | |
| - When issue is unclear, write comment on issue asking questions. | |
| - When you encounter any problems that you unable to solve yourself (any human feedback or help), write a comment to the pull request asking for help. | |
| - When you need human help, use gh pr comment 170 --body "your message" to comment on existing PR. | |
| Preparing pull request. | |
| - When you code, follow contributing guidelines. | |
| - When you commit, write clear message. | |
| - When you need examples of style, use gh pr list --repo link-assistant/agent --state merged --search [keywords]. | |
| - When you open pr, describe solution draft and include tests. | |
| - When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release. | |
| - When you update existing pr 170, use gh pr edit to modify title and description. | |
| - When you are about to commit or push code, ALWAYS run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing. | |
| - When you finalize the pull request: | |
| follow style from merged prs for code, title, and description, | |
| make sure no uncommitted changes corresponding to the original requirements are left behind, | |
| make sure the default branch is merged to the pull request's branch, | |
| make sure all CI checks passing if they exist before you finish, | |
| check for latest comments on the issue and pull request to ensure no recent feedback was missed, | |
| double-check that all changes in the pull request answer to original requirements of the issue, | |
| make sure no new new bugs are introduced in pull request by carefully reading gh pr diff, | |
| make sure no previously existing features were removed without an explicit request from users via the issue description, issue comments, and/or pull request comments. | |
| - When you finish implementation, use gh pr ready 170. | |
| Workflow and collaboration. | |
| - When you check branch, verify with git branch --show-current. | |
| - When you push, push only to branch issue-169-ed3644c88604. | |
| - When you finish, create a pull request from branch issue-169-ed3644c88604. (Note: PR 170 already exists, update it instead) | |
| - When you organize workflow, use pull requests instead of direct merges to default branch (main or master). | |
| - When you manage commits, preserve commit history for later analysis. | |
| - When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed. | |
| - When you face conflict that you cannot resolve yourself, ask for help. | |
| - When you collaborate, respect branch protections by working only on issue-169-ed3644c88604. | |
| - When you mention result, include pull request url or comment url. | |
| - When you need to create pr, remember pr 170 already exists for this branch. | |
| Self review. | |
| - When you check your solution draft, run all tests locally. | |
| - When you check your solution draft, verify git status shows a clean working tree with no uncommitted changes. | |
| - When you compare with repo style, use gh pr diff [number]. | |
| - When you finalize, confirm code, tests, and description are consistent. | |
| GitHub CLI command patterns. | |
| - IMPORTANT: Always use --paginate flag when fetching lists from GitHub API to ensure all results are returned (GitHub returns max 30 per page by default). | |
| - When listing PR review comments (inline code comments), use gh api repos/OWNER/REPO/pulls/NUMBER/comments --paginate. | |
| - When listing PR conversation comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| - When listing PR reviews, use gh api repos/OWNER/REPO/pulls/NUMBER/reviews --paginate. | |
| - When listing issue comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| - When adding PR comment, use gh pr comment NUMBER --body "text" --repo OWNER/REPO. | |
| - When adding issue comment, use gh issue comment NUMBER --body "text" --repo OWNER/REPO. | |
| - When viewing PR details, use gh pr view NUMBER --repo OWNER/REPO. | |
| - When filtering with jq, use gh api repos/${owner}/${repo}/pulls/${prNumber}/comments --paginate --jq 'reverse | .[0:5]'. | |
| Playwright MCP usage (browser automation via mcp__playwright__* tools). | |
| - When you develop frontend web applications (HTML, CSS, JavaScript, React, Vue, Angular, etc.), use Playwright MCP tools to test the UI in a real browser. | |
| - When WebFetch tool fails to retrieve expected content (e.g., returns empty content, JavaScript-rendered pages, or login-protected pages), use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for web browsing. | |
| - When you need to interact with dynamic web pages that require JavaScript execution, use Playwright MCP tools. | |
| - When you need to visually verify how a web page looks or take screenshots, use browser_take_screenshot from Playwright MCP. | |
| - When you need to fill forms, click buttons, or perform user interactions on web pages, use Playwright MCP tools (browser_click, browser_type, browser_fill_form). | |
| - When you need to test responsive design or different viewport sizes, use browser_resize from Playwright MCP. | |
| - When you finish using the browser, always close it with browser_close to free resources. | |
| Visual UI work and screenshots. | |
| - When you work on visual UI changes (frontend, CSS, HTML, design), include a render or screenshot of the final result in the pull request description. | |
| - When you need to show visual results, take a screenshot and save it to the repository (e.g., in a docs/screenshots/ or assets/ folder). | |
| - When you save screenshots to the repository, use permanent raw file links in the pull request description markdown (e.g., https://raw.githubusercontent.com/link-assistant/agent/issue-169-ed3644c88604/docs/screenshots/result.png). | |
| - When uploading images, commit them to the branch first, then reference them using the raw GitHub URL format. | |
| - When the visual result is important for review, mention it explicitly in the pull request description with the embedded image. | |
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| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 2, | |
| "cache_creation_input_tokens": 10171, | |
| "cache_read_input_tokens": 15451, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 10171 | |
| }, | |
| "output_tokens": 2, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "55aa7dac-02a6-4361-9ac7-3ab19091dc9e" | |
| } | |
| [2026-02-14T11:23:39.421Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01Y8c6YDkhubfgqfKdRAKo2z", | |
| "type": "tool_result", | |
| "content": "{\"baseRefName\":\"main\",\"body\":\"## Summary\\n\\nThis PR fixes the issue where the session terminated after ~5 minutes instead of retrying for the expected 7-day window. The root cause was a cascade of failures across four layers:\\n\\n1. **SSE stream corruption** at the Kilo AI Gateway when proxying Kimi K2.5 responses\\n2. **Vercel AI SDK** throwing `AI_JSONParseError` (no `isRetryable` property, no built-in stream retry)\\n3. **Agent's error classifier** falling through to `NamedError.Unknown` (not retryable)\\n4. **Solve script** misclassifying \\\"Tool execution aborted\\\" as `UsageLimit`\\n\\n## Root Cause\\n\\nThe infrastructure chain is: `Agent → OpenCode Zen → Kilo AI Gateway (api.kilo.ai) → Moonshot Kimi K2.5`\\n\\nThe Kilo Gateway returned corrupted SSE data where two chunks were concatenated without proper `\\\\n\\\\ndata:` delimiters:\\n```\\n{\\\"id\\\":\\\"chatcmpl-jQugNdata:{\\\"id\\\":\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\",...}\\n```\\n\\nThe Vercel AI SDK's `AI_JSONParseError` has no `isRetryable` property (only `APICallError` has it) and mid-stream errors are never retried by the SDK's built-in mechanism.\\n\\n## Analysis of Other CLI Agents\\n\\n| Agent | JSON parse error in SSE | Stream-level retry |\\n|-------|------------------------|-------------------|\\n| **OpenAI Codex** | Skip & continue (best practice) | 5 retries, exp backoff |\\n| **Gemini CLI** | Not caught (gap) | 2 attempts for invalid content |\\n| **Qwen Code** | Silent skip + warn log | 1 retry + 10 for rate limits |\\n| **OpenCode** | Falls to UnknownError (gap) | No |\\n| **This Agent** | StreamParseError + retry (fix) | 3 retries, exp backoff |\\n\\n## Changes\\n\\n- **Code**: Add `StreamParseError` type with `isRetryable: true`, detect `AI_JSONParseError` in `fromError()`\\n- **Retry**: Exponential backoff (1s, 2s, 4s up to 3 retries) via `streamParseErrorDelay()`\\n- **Tests**: 30 tests pass, including exact reproduction of the Kilo Gateway corruption pattern\\n- **Case Study**: Complete rewrite with corrected provider chain, CLI agent comparison, timeline reconstruction\\n- **Upstream Issues**: Filed to all responsible parties\\n\\n## Upstream Issues Filed\\n\\n- [vercel/ai#12595](https://github.com/vercel/ai/issues/12595): AI_JSONParseError should support retry for mid-stream parse errors\\n- [Kilo-Org/kilocode#5875](https://github.com/Kilo-Org/kilocode/issues/5875): SSE stream corruption when proxying Kimi K2.5\\n- [anomalyco/opencode#13579](https://github.com/anomalyco/opencode/issues/13579): AI_JSONParseError not retried (falls to NamedError.Unknown)\\n\\n## Test Plan\\n\\n- [x] Added test for exact Kilo Gateway SSE corruption pattern from issue #169\\n- [x] Tests for StreamParseError detection by error name (AI_JSONParseError)\\n- [x] Tests for StreamParseError detection by error message patterns\\n- [x] Tests for exponential backoff delay calculation\\n- [x] Verified existing socket/timeout error handling still works\\n- [x] All 30 tests pass\\n- [x] Prettier and eslint pass\\n\\n## Files Changed\\n\\n| File | Description |\\n|------|-------------|\\n| `js/src/session/message-v2.ts` | Add StreamParseError type and detection in `fromError()` |\\n| `js/src/session/processor.ts` | Add StreamParseError to retryable errors with backoff |\\n| `js/src/session/retry.ts` | Add stream parse error retry constants and delay function |\\n| `js/tests/stream-parse-error.test.js` | Tests including exact production error reproduction |\\n| `js/tests/retry-state.test.js` | Tests for stream parse error delay calculation |\\n| `docs/case-studies/issue-169/analysis.md` | Corrected root cause analysis |\\n| `docs/case-studies/issue-169/cli-agents-comparison.md` | Comparison of 4 CLI agents |\\n| `docs/case-studies/issue-169/filed-issues.md` | Links to all filed upstream issues |\\n| `docs/case-studies/issue-169/vercel-ai-issue-draft.md` | Updated Vercel AI SDK issue |\\n| `docs/case-studies/issue-169/kilo-gateway-issue-draft.md` | New Kilo Gateway issue |\\n\\n## Related Issues\\n\\n- Fixes #169\\n- [vercel/ai#12595](https://github.com/vercel/ai/issues/12595)\\n- [Kilo-Org/kilocode#5875](https://github.com/Kilo-Org/kilocode/issues/5875)\\n- [anomalyco/opencode#13579](https://github.com/anomalyco/opencode/issues/13579)\\n\\n---\\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\",\"comments\":[{\"id\":\"IC_kwDOQYTy3M7ojqEq\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"## 🤖 Solution Draft Log\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n💰 **Cost estimation:**\\n- Public pricing estimate: $11.625604\\n- Calculated by Anthropic: $7.408781 USD\\n- Difference: $-4.216823 (-36.27%)\\n📎 **Log file uploaded as Gist** (1091KB)\\n🔗 [View complete solution draft log](https://gist.githubusercontent.com/konard/274a4690bbbe845884f571a1be0b8fa0/raw/2a43dc293fe890e00b12777a8e3dcdc271a3054b/solution-draft-log-pr-1771065441501.txt)\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"createdAt\":\"2026-02-14T10:37:26Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901661482\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7ojqGa\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"## 🔄 Auto-restart 1/3\\n\\nDetected uncommitted changes from previous run. Starting new session to review and commit them.\\n\\n**Uncommitted files:**\\n```\\nM js/tests/batch.tools.test.js\\n```\\n\\n---\\n*Auto-restart will stop after changes are committed or after 2 more iterations. Please wait until working session will end and give your feedback.*\",\"createdAt\":\"2026-02-14T10:37:32Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901661594\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7ojs2s\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"## 🔄 Auto-restart 1/3 Log\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n💰 **Cost estimation:**\\n- Public pricing estimate: $4.305351\\n- Calculated by Anthropic: $2.597063 USD\\n- Difference: $-1.708288 (-39.68%)\\n📎 **Log file uploaded as Gist** (1564KB)\\n🔗 [View complete solution draft log](https://gist.githubusercontent.com/konard/23ecf096285349dc29ed8d2caf75c1a3/raw/31ae3a9d900c7be26181fc12ddd84819a263064b/solution-draft-log-pr-1771065966872.txt)\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"createdAt\":\"2026-02-14T10:46:11Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901672876\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7ojs_e\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"```\\r\\n[2026-02-14T08:34:12.210Z] [INFO] {\\r\\n[2026-02-14T08:34:12.211Z] [INFO] \\\"type\\\": \\\"log\\\",\\r\\n[2026-02-14T08:34:12.211Z] [INFO] \\\"level\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.211Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.210Z\\\",\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"service\\\": \\\"session.prompt\\\",\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"name\\\": \\\"AI_JSONParseError\\\",\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"cause\\\": {},\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"text\\\": \\\"{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-jQugNdata:{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\\\\\",\\\\\\\"object\\\\\\\":\\\\\\\"chat.completion.chunk\\\\\\\",\\\\\\\"created\\\\\\\":1771058051,\\\\\\\"model\\\\\\\":\\\\\\\"kimi-k2.5\\\\\\\",\\\\\\\"choices\\\\\\\":[{\\\\\\\"index\\\\\\\":0,\\\\\\\"delta\\\\\\\":{\\\\\\\"role\\\\\\\":\\\\\\\"assistant\\\\\\\",\\\\\\\"content\\\\\\\":\\\\\\\"\\\\\\\"},\\\\\\\"finish_reason\\\\\\\":null}],\\\\\\\"system_fingerprint\\\\\\\":\\\\\\\"fpv0_f7e5c49a\\\\\\\"}\\\"\\r\\n[2026-02-14T08:34:12.213Z] [INFO] }\\r\\n[2026-02-14T08:34:12.213Z] [INFO] },\\r\\n[2026-02-14T08:34:12.213Z] [INFO] \\\"message\\\": \\\"stream error\\\"\\r\\n[2026-02-14T08:34:12.213Z] [INFO] }\\r\\n[2026-02-14T08:34:12.213Z] [INFO] {\\r\\n[2026-02-14T08:34:12.213Z] [INFO] \\\"type\\\": \\\"log\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"level\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.211Z\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"service\\\": \\\"session.processor\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"name\\\": \\\"AI_JSONParseError\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"cause\\\": {},\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"text\\\": \\\"{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-jQugNdata:{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\\\\\",\\\\\\\"object\\\\\\\":\\\\\\\"chat.completion.chunk\\\\\\\",\\\\\\\"created\\\\\\\":1771058051,\\\\\\\"model\\\\\\\":\\\\\\\"kimi-k2.5\\\\\\\",\\\\\\\"choices\\\\\\\":[{\\\\\\\"index\\\\\\\":0,\\\\\\\"delta\\\\\\\":{\\\\\\\"role\\\\\\\":\\\\\\\"assistant\\\\\\\",\\\\\\\"content\\\\\\\":\\\\\\\"\\\\\\\"},\\\\\\\"finish_reason\\\\\\\":null}],\\\\\\\"system_fingerprint\\\\\\\":\\\\\\\"fpv0_f7e5c49a\\\\\\\"}\\\"\\r\\n[2026-02-14T08:34:12.215Z] [INFO] },\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"message\\\": \\\"process\\\"\\r\\n[2026-02-14T08:34:12.215Z] [INFO] }\\r\\n[2026-02-14T08:34:12.215Z] [INFO] {\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"type\\\": \\\"session.error\\\",\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"level\\\": \\\"info\\\",\\r\\n[2026-02-14T08:34:12.216Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.211Z\\\",\\r\\n[2026-02-14T08:34:12.216Z] [INFO] \\\"service\\\": \\\"bus\\\",\\r\\n[2026-02-14T08:34:12.216Z] [INFO] \\\"message\\\": \\\"publishing\\\"\\r\\n[2026-02-14T08:34:12.216Z] [INFO] }\\r\\n[2026-02-14T08:34:12.216Z] [INFO] {\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"type\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"timestamp\\\": 1771058052211,\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"sessionID\\\": \\\"ses_3a4b73b0effeFXKMNNCv1Lm3b2\\\",\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"name\\\": \\\"UnknownError\\\",\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"data\\\": {\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"message\\\": \\\"AI_JSONParseError: JSON parsing failed: Text: {\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-jQugNdata:{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\\\\\",\\\\\\\"object\\\\\\\":\\\\\\\"chat.completion.chunk\\\\\\\",\\\\\\\"created\\\\\\\":1771058051,\\\\\\\"model\\\\\\\":\\\\\\\"kimi-k2.5\\\\\\\",\\\\\\\"choices\\\\\\\":[{\\\\\\\"index\\\\\\\":0,\\\\\\\"delta\\\\\\\":{\\\\\\\"role\\\\\\\":\\\\\\\"assistant\\\\\\\",\\\\\\\"content\\\\\\\":\\\\\\\"\\\\\\\"},\\\\\\\"finish_reason\\\\\\\":null}],\\\\\\\"system_fingerprint\\\\\\\":\\\\\\\"fpv0_f7e5c49a\\\\\\\"}.\\\\nError message: JSON Parse error: Expected '}'\\\"\\r\\n[2026-02-14T08:34:12.217Z] [INFO] }\\r\\n[2026-02-14T08:34:12.218Z] [INFO] }\\r\\n[2026-02-14T08:34:12.218Z] [INFO] }\\r\\n[2026-02-14T08:34:12.218Z] [INFO] {\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"type\\\": \\\"message.part.updated\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"level\\\": \\\"info\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.214Z\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"service\\\": \\\"bus\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"message\\\": \\\"publishing\\\"\\r\\n[2026-02-14T08:34:12.219Z] [INFO] }\\r\\n[2026-02-14T08:34:12.219Z] [INFO] {\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"type\\\": \\\"tool_use\\\",\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"timestamp\\\": 1771058052214,\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"sessionID\\\": \\\"ses_3a4b73b0effeFXKMNNCv1Lm3b2\\\",\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"part\\\": {\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"id\\\": \\\"prt_c5b4925d30010l5F6BrMXeE7d6\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"sessionID\\\": \\\"ses_3a4b73b0effeFXKMNNCv1Lm3b2\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"messageID\\\": \\\"msg_c5b490d94001JytADaAvPm4n2k\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"type\\\": \\\"tool\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"callID\\\": \\\"tool_FxSEARcHF9cviw2c0abG9qQE\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"tool\\\": \\\"read\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"state\\\": {\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"status\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"input\\\": {},\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"error\\\": \\\"Tool execution aborted\\\",\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"time\\\": {\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"start\\\": 1771058052213,\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"end\\\": 1771058052213\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n```\\r\\n\\r\\nI think your analysis is wrong, we don't use OpenRouter, but OpenCode Zen. Also there no retry-able error here. That is `AI_JSONParseError`. And we need to double check code of other CLI agents, on how they handle it, and prevent root causes.\\r\\n\\r\\nDouble check the best experience from fresh version of https://github.com/anomalyco/opencode, https://github.com/google-gemini/gemini-cli, https://github.com/QwenLM/qwen-code, https://github.com/openai/codex.\\r\\n\\r\\nYou may want to use subagents to save your context on exploration of these after download to temporary folders.\\r\\n\\r\\nI need you to redo the analysis, file the issue to all responsible parties if not yet filed. And propose solutions or at least workarounds.\\r\\n\\r\\nPlease download all logs and data related about the issue to this repository, make sure we compile that data to `./docs/case-studies/issue-{id}` folder, and use it to do deep case study analysis (also make sure to search online for additional facts and data), in which we will reconstruct timeline/sequence of events, find root causes of the problem, and propose possible solutions (including known existing components/libraries, that solve similar problem or can help in solutions).\\r\\n\\r\\nIf issue related to any other repository/project, where we can report issues on GitHub, please do so. Each issue must contain reproducible examples, workarounds and suggestions for fix the issue in code.\",\"createdAt\":\"2026-02-14T10:46:39Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901673438\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7ojtM8\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"🤖 **AI Work Session Started**\\n\\nStarting automated work session at 2026-02-14T10:47:15.681Z\\n\\nThe PR has been converted to draft mode while work is in progress.\\n\\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._\",\"createdAt\":\"2026-02-14T10:47:17Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901674300\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7oj1L9\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"## 🤖 Solution Draft Log\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n💰 **Cost estimation:**\\n- Public pricing estimate: $10.566791\\n- Calculated by Anthropic: $12.881222 USD\\n- Difference: $2.314431 (+21.90%)\\n📎 **Log file uploaded as Gist** (2807KB)\\n🔗 [View complete solution draft log](https://gist.githubusercontent.com/konard/644d8ab6696b6a6d614ad748d105af2e/raw/5807f0d3f3d6e1d6a0b3422fb06512efc8b4edb3/solution-draft-log-pr-1771067516587.txt)\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"createdAt\":\"2026-02-14T11:12:02Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901707005\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7oj4os\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"That is absolutely wrong, this error is absolutely not retry-able, we need to find root cause and fix it. Explain how we got involved `OpenCode Zen → Kilo AI Gateway (api.kilo.ai)`at the same time?\\r\\n\\r\\nThe model was set too `--model kimi-k2.5-free`. I don't see in sequence of events any switch to Kilo AI gateway, please double check the analysis, we absolutely must not use this error as retry-able, find root cause of it and fix it. Also sequence of events should clearly state which actual providers were used, quote logs and quote code that made decisions.\\r\\n\\r\\nI don't understand what is going on. Please make the full picture crystal clear.\\r\\n\\r\\n\\r\\n\",\"createdAt\":\"2026-02-14T11:22:36Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901721132\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7oj43D\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"🤖 **AI Work Session Started**\\n\\nStarting automated work session at 2026-02-14T11:23:17.557Z\\n\\nThe PR has been converted to draft mode while work is in progress.\\n\\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._\",\"createdAt\":\"2026-02-14T11:23:19Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901722051\",\"viewerDidAuthor\":true}],\"headRefName\":\"issue-169-ed3644c88604\",\"reviews\":[],\"state\":\"OPEN\",\"title\":\"fix: Retry on stream parse errors (AI_JSONParseError) with deep analysis\"}", | |
| "is_error": false | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "5641973b-6ad4-47a9-b6c2-619c23c2444b", | |
| "tool_use_result": { | |
| "stdout": "{\"baseRefName\":\"main\",\"body\":\"## Summary\\n\\nThis PR fixes the issue where the session terminated after ~5 minutes instead of retrying for the expected 7-day window. The root cause was a cascade of failures across four layers:\\n\\n1. **SSE stream corruption** at the Kilo AI Gateway when proxying Kimi K2.5 responses\\n2. **Vercel AI SDK** throwing `AI_JSONParseError` (no `isRetryable` property, no built-in stream retry)\\n3. **Agent's error classifier** falling through to `NamedError.Unknown` (not retryable)\\n4. **Solve script** misclassifying \\\"Tool execution aborted\\\" as `UsageLimit`\\n\\n## Root Cause\\n\\nThe infrastructure chain is: `Agent → OpenCode Zen → Kilo AI Gateway (api.kilo.ai) → Moonshot Kimi K2.5`\\n\\nThe Kilo Gateway returned corrupted SSE data where two chunks were concatenated without proper `\\\\n\\\\ndata:` delimiters:\\n```\\n{\\\"id\\\":\\\"chatcmpl-jQugNdata:{\\\"id\\\":\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\",...}\\n```\\n\\nThe Vercel AI SDK's `AI_JSONParseError` has no `isRetryable` property (only `APICallError` has it) and mid-stream errors are never retried by the SDK's built-in mechanism.\\n\\n## Analysis of Other CLI Agents\\n\\n| Agent | JSON parse error in SSE | Stream-level retry |\\n|-------|------------------------|-------------------|\\n| **OpenAI Codex** | Skip & continue (best practice) | 5 retries, exp backoff |\\n| **Gemini CLI** | Not caught (gap) | 2 attempts for invalid content |\\n| **Qwen Code** | Silent skip + warn log | 1 retry + 10 for rate limits |\\n| **OpenCode** | Falls to UnknownError (gap) | No |\\n| **This Agent** | StreamParseError + retry (fix) | 3 retries, exp backoff |\\n\\n## Changes\\n\\n- **Code**: Add `StreamParseError` type with `isRetryable: true`, detect `AI_JSONParseError` in `fromError()`\\n- **Retry**: Exponential backoff (1s, 2s, 4s up to 3 retries) via `streamParseErrorDelay()`\\n- **Tests**: 30 tests pass, including exact reproduction of the Kilo Gateway corruption pattern\\n- **Case Study**: Complete rewrite with corrected provider chain, CLI agent comparison, timeline reconstruction\\n- **Upstream Issues**: Filed to all responsible parties\\n\\n## Upstream Issues Filed\\n\\n- [vercel/ai#12595](https://github.com/vercel/ai/issues/12595): AI_JSONParseError should support retry for mid-stream parse errors\\n- [Kilo-Org/kilocode#5875](https://github.com/Kilo-Org/kilocode/issues/5875): SSE stream corruption when proxying Kimi K2.5\\n- [anomalyco/opencode#13579](https://github.com/anomalyco/opencode/issues/13579): AI_JSONParseError not retried (falls to NamedError.Unknown)\\n\\n## Test Plan\\n\\n- [x] Added test for exact Kilo Gateway SSE corruption pattern from issue #169\\n- [x] Tests for StreamParseError detection by error name (AI_JSONParseError)\\n- [x] Tests for StreamParseError detection by error message patterns\\n- [x] Tests for exponential backoff delay calculation\\n- [x] Verified existing socket/timeout error handling still works\\n- [x] All 30 tests pass\\n- [x] Prettier and eslint pass\\n\\n## Files Changed\\n\\n| File | Description |\\n|------|-------------|\\n| `js/src/session/message-v2.ts` | Add StreamParseError type and detection in `fromError()` |\\n| `js/src/session/processor.ts` | Add StreamParseError to retryable errors with backoff |\\n| `js/src/session/retry.ts` | Add stream parse error retry constants and delay function |\\n| `js/tests/stream-parse-error.test.js` | Tests including exact production error reproduction |\\n| `js/tests/retry-state.test.js` | Tests for stream parse error delay calculation |\\n| `docs/case-studies/issue-169/analysis.md` | Corrected root cause analysis |\\n| `docs/case-studies/issue-169/cli-agents-comparison.md` | Comparison of 4 CLI agents |\\n| `docs/case-studies/issue-169/filed-issues.md` | Links to all filed upstream issues |\\n| `docs/case-studies/issue-169/vercel-ai-issue-draft.md` | Updated Vercel AI SDK issue |\\n| `docs/case-studies/issue-169/kilo-gateway-issue-draft.md` | New Kilo Gateway issue |\\n\\n## Related Issues\\n\\n- Fixes #169\\n- [vercel/ai#12595](https://github.com/vercel/ai/issues/12595)\\n- [Kilo-Org/kilocode#5875](https://github.com/Kilo-Org/kilocode/issues/5875)\\n- [anomalyco/opencode#13579](https://github.com/anomalyco/opencode/issues/13579)\\n\\n---\\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\",\"comments\":[{\"id\":\"IC_kwDOQYTy3M7ojqEq\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"## 🤖 Solution Draft Log\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n💰 **Cost estimation:**\\n- Public pricing estimate: $11.625604\\n- Calculated by Anthropic: $7.408781 USD\\n- Difference: $-4.216823 (-36.27%)\\n📎 **Log file uploaded as Gist** (1091KB)\\n🔗 [View complete solution draft log](https://gist.githubusercontent.com/konard/274a4690bbbe845884f571a1be0b8fa0/raw/2a43dc293fe890e00b12777a8e3dcdc271a3054b/solution-draft-log-pr-1771065441501.txt)\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"createdAt\":\"2026-02-14T10:37:26Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901661482\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7ojqGa\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"## 🔄 Auto-restart 1/3\\n\\nDetected uncommitted changes from previous run. Starting new session to review and commit them.\\n\\n**Uncommitted files:**\\n```\\nM js/tests/batch.tools.test.js\\n```\\n\\n---\\n*Auto-restart will stop after changes are committed or after 2 more iterations. Please wait until working session will end and give your feedback.*\",\"createdAt\":\"2026-02-14T10:37:32Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901661594\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7ojs2s\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"## 🔄 Auto-restart 1/3 Log\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n💰 **Cost estimation:**\\n- Public pricing estimate: $4.305351\\n- Calculated by Anthropic: $2.597063 USD\\n- Difference: $-1.708288 (-39.68%)\\n📎 **Log file uploaded as Gist** (1564KB)\\n🔗 [View complete solution draft log](https://gist.githubusercontent.com/konard/23ecf096285349dc29ed8d2caf75c1a3/raw/31ae3a9d900c7be26181fc12ddd84819a263064b/solution-draft-log-pr-1771065966872.txt)\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"createdAt\":\"2026-02-14T10:46:11Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901672876\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7ojs_e\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"```\\r\\n[2026-02-14T08:34:12.210Z] [INFO] {\\r\\n[2026-02-14T08:34:12.211Z] [INFO] \\\"type\\\": \\\"log\\\",\\r\\n[2026-02-14T08:34:12.211Z] [INFO] \\\"level\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.211Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.210Z\\\",\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"service\\\": \\\"session.prompt\\\",\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"name\\\": \\\"AI_JSONParseError\\\",\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"cause\\\": {},\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"text\\\": \\\"{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-jQugNdata:{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\\\\\",\\\\\\\"object\\\\\\\":\\\\\\\"chat.completion.chunk\\\\\\\",\\\\\\\"created\\\\\\\":1771058051,\\\\\\\"model\\\\\\\":\\\\\\\"kimi-k2.5\\\\\\\",\\\\\\\"choices\\\\\\\":[{\\\\\\\"index\\\\\\\":0,\\\\\\\"delta\\\\\\\":{\\\\\\\"role\\\\\\\":\\\\\\\"assistant\\\\\\\",\\\\\\\"content\\\\\\\":\\\\\\\"\\\\\\\"},\\\\\\\"finish_reason\\\\\\\":null}],\\\\\\\"system_fingerprint\\\\\\\":\\\\\\\"fpv0_f7e5c49a\\\\\\\"}\\\"\\r\\n[2026-02-14T08:34:12.213Z] [INFO] }\\r\\n[2026-02-14T08:34:12.213Z] [INFO] },\\r\\n[2026-02-14T08:34:12.213Z] [INFO] \\\"message\\\": \\\"stream error\\\"\\r\\n[2026-02-14T08:34:12.213Z] [INFO] }\\r\\n[2026-02-14T08:34:12.213Z] [INFO] {\\r\\n[2026-02-14T08:34:12.213Z] [INFO] \\\"type\\\": \\\"log\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"level\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.211Z\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"service\\\": \\\"session.processor\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"name\\\": \\\"AI_JSONParseError\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"cause\\\": {},\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"text\\\": \\\"{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-jQugNdata:{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\\\\\",\\\\\\\"object\\\\\\\":\\\\\\\"chat.completion.chunk\\\\\\\",\\\\\\\"created\\\\\\\":1771058051,\\\\\\\"model\\\\\\\":\\\\\\\"kimi-k2.5\\\\\\\",\\\\\\\"choices\\\\\\\":[{\\\\\\\"index\\\\\\\":0,\\\\\\\"delta\\\\\\\":{\\\\\\\"role\\\\\\\":\\\\\\\"assistant\\\\\\\",\\\\\\\"content\\\\\\\":\\\\\\\"\\\\\\\"},\\\\\\\"finish_reason\\\\\\\":null}],\\\\\\\"system_fingerprint\\\\\\\":\\\\\\\"fpv0_f7e5c49a\\\\\\\"}\\\"\\r\\n[2026-02-14T08:34:12.215Z] [INFO] },\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"message\\\": \\\"process\\\"\\r\\n[2026-02-14T08:34:12.215Z] [INFO] }\\r\\n[2026-02-14T08:34:12.215Z] [INFO] {\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"type\\\": \\\"session.error\\\",\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"level\\\": \\\"info\\\",\\r\\n[2026-02-14T08:34:12.216Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.211Z\\\",\\r\\n[2026-02-14T08:34:12.216Z] [INFO] \\\"service\\\": \\\"bus\\\",\\r\\n[2026-02-14T08:34:12.216Z] [INFO] \\\"message\\\": \\\"publishing\\\"\\r\\n[2026-02-14T08:34:12.216Z] [INFO] }\\r\\n[2026-02-14T08:34:12.216Z] [INFO] {\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"type\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"timestamp\\\": 1771058052211,\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"sessionID\\\": \\\"ses_3a4b73b0effeFXKMNNCv1Lm3b2\\\",\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"name\\\": \\\"UnknownError\\\",\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"data\\\": {\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"message\\\": \\\"AI_JSONParseError: JSON parsing failed: Text: {\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-jQugNdata:{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\\\\\",\\\\\\\"object\\\\\\\":\\\\\\\"chat.completion.chunk\\\\\\\",\\\\\\\"created\\\\\\\":1771058051,\\\\\\\"model\\\\\\\":\\\\\\\"kimi-k2.5\\\\\\\",\\\\\\\"choices\\\\\\\":[{\\\\\\\"index\\\\\\\":0,\\\\\\\"delta\\\\\\\":{\\\\\\\"role\\\\\\\":\\\\\\\"assistant\\\\\\\",\\\\\\\"content\\\\\\\":\\\\\\\"\\\\\\\"},\\\\\\\"finish_reason\\\\\\\":null}],\\\\\\\"system_fingerprint\\\\\\\":\\\\\\\"fpv0_f7e5c49a\\\\\\\"}.\\\\nError message: JSON Parse error: Expected '}'\\\"\\r\\n[2026-02-14T08:34:12.217Z] [INFO] }\\r\\n[2026-02-14T08:34:12.218Z] [INFO] }\\r\\n[2026-02-14T08:34:12.218Z] [INFO] }\\r\\n[2026-02-14T08:34:12.218Z] [INFO] {\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"type\\\": \\\"message.part.updated\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"level\\\": \\\"info\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.214Z\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"service\\\": \\\"bus\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"message\\\": \\\"publishing\\\"\\r\\n[2026-02-14T08:34:12.219Z] [INFO] }\\r\\n[2026-02-14T08:34:12.219Z] [INFO] {\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"type\\\": \\\"tool_use\\\",\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"timestamp\\\": 1771058052214,\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"sessionID\\\": \\\"ses_3a4b73b0effeFXKMNNCv1Lm3b2\\\",\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"part\\\": {\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"id\\\": \\\"prt_c5b4925d30010l5F6BrMXeE7d6\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"sessionID\\\": \\\"ses_3a4b73b0effeFXKMNNCv1Lm3b2\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"messageID\\\": \\\"msg_c5b490d94001JytADaAvPm4n2k\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"type\\\": \\\"tool\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"callID\\\": \\\"tool_FxSEARcHF9cviw2c0abG9qQE\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"tool\\\": \\\"read\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"state\\\": {\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"status\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"input\\\": {},\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"error\\\": \\\"Tool execution aborted\\\",\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"time\\\": {\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"start\\\": 1771058052213,\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"end\\\": 1771058052213\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n```\\r\\n\\r\\nI think your analysis is wrong, we don't use OpenRouter, but OpenCode Zen. Also there no retry-able error here. That is `AI_JSONParseError`. And we need to double check code of other CLI agents, on how they handle it, and prevent root causes.\\r\\n\\r\\nDouble check the best experience from fresh version of https://github.com/anomalyco/opencode, https://github.com/google-gemini/gemini-cli, https://github.com/QwenLM/qwen-code, https://github.com/openai/codex.\\r\\n\\r\\nYou may want to use subagents to save your context on exploration of these after download to temporary folders.\\r\\n\\r\\nI need you to redo the analysis, file the issue to all responsible parties if not yet filed. And propose solutions or at least workarounds.\\r\\n\\r\\nPlease download all logs and data related about the issue to this repository, make sure we compile that data to `./docs/case-studies/issue-{id}` folder, and use it to do deep case study analysis (also make sure to search online for additional facts and data), in which we will reconstruct timeline/sequence of events, find root causes of the problem, and propose possible solutions (including known existing components/libraries, that solve similar problem or can help in solutions).\\r\\n\\r\\nIf issue related to any other repository/project, where we can report issues on GitHub, please do so. Each issue must contain reproducible examples, workarounds and suggestions for fix the issue in code.\",\"createdAt\":\"2026-02-14T10:46:39Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901673438\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7ojtM8\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"🤖 **AI Work Session Started**\\n\\nStarting automated work session at 2026-02-14T10:47:15.681Z\\n\\nThe PR has been converted to draft mode while work is in progress.\\n\\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._\",\"createdAt\":\"2026-02-14T10:47:17Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901674300\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7oj1L9\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"## 🤖 Solution Draft Log\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n💰 **Cost estimation:**\\n- Public pricing estimate: $10.566791\\n- Calculated by Anthropic: $12.881222 USD\\n- Difference: $2.314431 (+21.90%)\\n📎 **Log file uploaded as Gist** (2807KB)\\n🔗 [View complete solution draft log](https://gist.githubusercontent.com/konard/644d8ab6696b6a6d614ad748d105af2e/raw/5807f0d3f3d6e1d6a0b3422fb06512efc8b4edb3/solution-draft-log-pr-1771067516587.txt)\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"createdAt\":\"2026-02-14T11:12:02Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901707005\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7oj4os\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"That is absolutely wrong, this error is absolutely not retry-able, we need to find root cause and fix it. Explain how we got involved `OpenCode Zen → Kilo AI Gateway (api.kilo.ai)`at the same time?\\r\\n\\r\\nThe model was set too `--model kimi-k2.5-free`. I don't see in sequence of events any switch to Kilo AI gateway, please double check the analysis, we absolutely must not use this error as retry-able, find root cause of it and fix it. Also sequence of events should clearly state which actual providers were used, quote logs and quote code that made decisions.\\r\\n\\r\\nI don't understand what is going on. Please make the full picture crystal clear.\\r\\n\\r\\n\\r\\n\",\"createdAt\":\"2026-02-14T11:22:36Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901721132\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7oj43D\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"🤖 **AI Work Session Started**\\n\\nStarting automated work session at 2026-02-14T11:23:17.557Z\\n\\nThe PR has been converted to draft mode while work is in progress.\\n\\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._\",\"createdAt\":\"2026-02-14T11:23:19Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901722051\",\"viewerDidAuthor\":true}],\"headRefName\":\"issue-169-ed3644c88604\",\"reviews\":[],\"state\":\"OPEN\",\"title\":\"fix: Retry on stream parse errors (AI_JSONParseError) with deep analysis\"}", | |
| "stderr": "", | |
| "interrupted": false, | |
| "isImage": false | |
| } | |
| } | |
| [2026-02-14T11:23:40.677Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01KTk6sFc57FcTXZzTE9duM5", | |
| "type": "tool_result", | |
| "content": "[{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901661482\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901661482\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901661482,\"node_id\":\"IC_kwDOQYTy3M7ojqEq\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T10:37:26Z\",\"updated_at\":\"2026-02-14T10:37:26Z\",\"body\":\"## 🤖 Solution Draft Log\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n💰 **Cost estimation:**\\n- Public pricing estimate: $11.625604\\n- Calculated by Anthropic: $7.408781 USD\\n- Difference: $-4.216823 (-36.27%)\\n📎 **Log file uploaded as Gist** (1091KB)\\n🔗 [View complete solution draft log](https://gist.githubusercontent.com/konard/274a4690bbbe845884f571a1be0b8fa0/raw/2a43dc293fe890e00b12777a8e3dcdc271a3054b/solution-draft-log-pr-1771065441501.txt)\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901661482/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null},{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901661594\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901661594\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901661594,\"node_id\":\"IC_kwDOQYTy3M7ojqGa\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T10:37:32Z\",\"updated_at\":\"2026-02-14T10:37:32Z\",\"body\":\"## 🔄 Auto-restart 1/3\\n\\nDetected uncommitted changes from previous run. Starting new session to review and commit them.\\n\\n**Uncommitted files:**\\n```\\nM js/tests/batch.tools.test.js\\n```\\n\\n---\\n*Auto-restart will stop after changes are committed or after 2 more iterations. Please wait until working session will end and give your feedback.*\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901661594/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null},{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901672876\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901672876\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901672876,\"node_id\":\"IC_kwDOQYTy3M7ojs2s\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T10:46:11Z\",\"updated_at\":\"2026-02-14T10:46:11Z\",\"body\":\"## 🔄 Auto-restart 1/3 Log\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n💰 **Cost estimation:**\\n- Public pricing estimate: $4.305351\\n- Calculated by Anthropic: $2.597063 USD\\n- Difference: $-1.708288 (-39.68%)\\n📎 **Log file uploaded as Gist** (1564KB)\\n🔗 [View complete solution draft log](https://gist.githubusercontent.com/konard/23ecf096285349dc29ed8d2caf75c1a3/raw/31ae3a9d900c7be26181fc12ddd84819a263064b/solution-draft-log-pr-1771065966872.txt)\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901672876/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null},{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901673438\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901673438\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901673438,\"node_id\":\"IC_kwDOQYTy3M7ojs_e\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T10:46:39Z\",\"updated_at\":\"2026-02-14T10:46:39Z\",\"body\":\"```\\r\\n[2026-02-14T08:34:12.210Z] [INFO] {\\r\\n[2026-02-14T08:34:12.211Z] [INFO] \\\"type\\\": \\\"log\\\",\\r\\n[2026-02-14T08:34:12.211Z] [INFO] \\\"level\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.211Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.210Z\\\",\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"service\\\": \\\"session.prompt\\\",\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"name\\\": \\\"AI_JSONParseError\\\",\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"cause\\\": {},\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"text\\\": \\\"{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-jQugNdata:{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\\\\\",\\\\\\\"object\\\\\\\":\\\\\\\"chat.completion.chunk\\\\\\\",\\\\\\\"created\\\\\\\":1771058051,\\\\\\\"model\\\\\\\":\\\\\\\"kimi-k2.5\\\\\\\",\\\\\\\"choices\\\\\\\":[{\\\\\\\"index\\\\\\\":0,\\\\\\\"delta\\\\\\\":{\\\\\\\"role\\\\\\\":\\\\\\\"assistant\\\\\\\",\\\\\\\"content\\\\\\\":\\\\\\\"\\\\\\\"},\\\\\\\"finish_reason\\\\\\\":null}],\\\\\\\"system_fingerprint\\\\\\\":\\\\\\\"fpv0_f7e5c49a\\\\\\\"}\\\"\\r\\n[2026-02-14T08:34:12.213Z] [INFO] }\\r\\n[2026-02-14T08:34:12.213Z] [INFO] },\\r\\n[2026-02-14T08:34:12.213Z] [INFO] \\\"message\\\": \\\"stream error\\\"\\r\\n[2026-02-14T08:34:12.213Z] [INFO] }\\r\\n[2026-02-14T08:34:12.213Z] [INFO] {\\r\\n[2026-02-14T08:34:12.213Z] [INFO] \\\"type\\\": \\\"log\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"level\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.211Z\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"service\\\": \\\"session.processor\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"name\\\": \\\"AI_JSONParseError\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"cause\\\": {},\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"text\\\": \\\"{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-jQugNdata:{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\\\\\",\\\\\\\"object\\\\\\\":\\\\\\\"chat.completion.chunk\\\\\\\",\\\\\\\"created\\\\\\\":1771058051,\\\\\\\"model\\\\\\\":\\\\\\\"kimi-k2.5\\\\\\\",\\\\\\\"choices\\\\\\\":[{\\\\\\\"index\\\\\\\":0,\\\\\\\"delta\\\\\\\":{\\\\\\\"role\\\\\\\":\\\\\\\"assistant\\\\\\\",\\\\\\\"content\\\\\\\":\\\\\\\"\\\\\\\"},\\\\\\\"finish_reason\\\\\\\":null}],\\\\\\\"system_fingerprint\\\\\\\":\\\\\\\"fpv0_f7e5c49a\\\\\\\"}\\\"\\r\\n[2026-02-14T08:34:12.215Z] [INFO] },\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"message\\\": \\\"process\\\"\\r\\n[2026-02-14T08:34:12.215Z] [INFO] }\\r\\n[2026-02-14T08:34:12.215Z] [INFO] {\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"type\\\": \\\"session.error\\\",\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"level\\\": \\\"info\\\",\\r\\n[2026-02-14T08:34:12.216Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.211Z\\\",\\r\\n[2026-02-14T08:34:12.216Z] [INFO] \\\"service\\\": \\\"bus\\\",\\r\\n[2026-02-14T08:34:12.216Z] [INFO] \\\"message\\\": \\\"publishing\\\"\\r\\n[2026-02-14T08:34:12.216Z] [INFO] }\\r\\n[2026-02-14T08:34:12.216Z] [INFO] {\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"type\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"timestamp\\\": 1771058052211,\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"sessionID\\\": \\\"ses_3a4b73b0effeFXKMNNCv1Lm3b2\\\",\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"name\\\": \\\"UnknownError\\\",\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"data\\\": {\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"message\\\": \\\"AI_JSONParseError: JSON parsing failed: Text: {\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-jQugNdata:{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\\\\\",\\\\\\\"object\\\\\\\":\\\\\\\"chat.completion.chunk\\\\\\\",\\\\\\\"created\\\\\\\":1771058051,\\\\\\\"model\\\\\\\":\\\\\\\"kimi-k2.5\\\\\\\",\\\\\\\"choices\\\\\\\":[{\\\\\\\"index\\\\\\\":0,\\\\\\\"delta\\\\\\\":{\\\\\\\"role\\\\\\\":\\\\\\\"assistant\\\\\\\",\\\\\\\"content\\\\\\\":\\\\\\\"\\\\\\\"},\\\\\\\"finish_reason\\\\\\\":null}],\\\\\\\"system_fingerprint\\\\\\\":\\\\\\\"fpv0_f7e5c49a\\\\\\\"}.\\\\nError message: JSON Parse error: Expected '}'\\\"\\r\\n[2026-02-14T08:34:12.217Z] [INFO] }\\r\\n[2026-02-14T08:34:12.218Z] [INFO] }\\r\\n[2026-02-14T08:34:12.218Z] [INFO] }\\r\\n[2026-02-14T08:34:12.218Z] [INFO] {\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"type\\\": \\\"message.part.updated\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"level\\\": \\\"info\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.214Z\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"service\\\": \\\"bus\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"message\\\": \\\"publishing\\\"\\r\\n[2026-02-14T08:34:12.219Z] [INFO] }\\r\\n[2026-02-14T08:34:12.219Z] [INFO] {\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"type\\\": \\\"tool_use\\\",\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"timestamp\\\": 1771058052214,\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"sessionID\\\": \\\"ses_3a4b73b0effeFXKMNNCv1Lm3b2\\\",\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"part\\\": {\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"id\\\": \\\"prt_c5b4925d30010l5F6BrMXeE7d6\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"sessionID\\\": \\\"ses_3a4b73b0effeFXKMNNCv1Lm3b2\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"messageID\\\": \\\"msg_c5b490d94001JytADaAvPm4n2k\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"type\\\": \\\"tool\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"callID\\\": \\\"tool_FxSEARcHF9cviw2c0abG9qQE\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"tool\\\": \\\"read\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"state\\\": {\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"status\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"input\\\": {},\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"error\\\": \\\"Tool execution aborted\\\",\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"time\\\": {\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"start\\\": 1771058052213,\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"end\\\": 1771058052213\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n```\\r\\n\\r\\nI think your analysis is wrong, we don't use OpenRouter, but OpenCode Zen. Also there no retry-able error here. That is `AI_JSONParseError`. And we need to double check code of other CLI agents, on how they handle it, and prevent root causes.\\r\\n\\r\\nDouble check the best experience from fresh version of https://github.com/anomalyco/opencode, https://github.com/google-gemini/gemini-cli, https://github.com/QwenLM/qwen-code, https://github.com/openai/codex.\\r\\n\\r\\nYou may want to use subagents to save your context on exploration of these after download to temporary folders.\\r\\n\\r\\nI need you to redo the analysis, file the issue to all responsible parties if not yet filed. And propose solutions or at least workarounds.\\r\\n\\r\\nPlease download all logs and data related about the issue to this repository, make sure we compile that data to `./docs/case-studies/issue-{id}` folder, and use it to do deep case study analysis (also make sure to search online for additional facts and data), in which we will reconstruct timeline/sequence of events, find root causes of the problem, and propose possible solutions (including known existing components/libraries, that solve similar problem or can help in solutions).\\r\\n\\r\\nIf issue related to any other repository/project, where we can report issues on GitHub, please do so. Each issue must contain reproducible examples, workarounds and suggestions for fix the issue in code.\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901673438/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null},{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901674300\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901674300\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901674300,\"node_id\":\"IC_kwDOQYTy3M7ojtM8\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T10:47:17Z\",\"updated_at\":\"2026-02-14T10:47:17Z\",\"body\":\"🤖 **AI Work Session Started**\\n\\nStarting automated work session at 2026-02-14T10:47:15.681Z\\n\\nThe PR has been converted to draft mode while work is in progress.\\n\\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901674300/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null},{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901707005\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901707005\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901707005,\"node_id\":\"IC_kwDOQYTy3M7oj1L9\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T11:12:02Z\",\"updated_at\":\"2026-02-14T11:12:02Z\",\"body\":\"## 🤖 Solution Draft Log\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n💰 **Cost estimation:**\\n- Public pricing estimate: $10.566791\\n- Calculated by Anthropic: $12.881222 USD\\n- Difference: $2.314431 (+21.90%)\\n📎 **Log file uploaded as Gist** (2807KB)\\n🔗 [View complete solution draft log](https://gist.githubusercontent.com/konard/644d8ab6696b6a6d614ad748d105af2e/raw/5807f0d3f3d6e1d6a0b3422fb06512efc8b4edb3/solution-draft-log-pr-1771067516587.txt)\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901707005/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null},{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901721132\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901721132\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901721132,\"node_id\":\"IC_kwDOQYTy3M7oj4os\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T11:22:36Z\",\"updated_at\":\"2026-02-14T11:22:36Z\",\"body\":\"That is absolutely wrong, this error is absolutely not retry-able, we need to find root cause and fix it. Explain how we got involved `OpenCode Zen → Kilo AI Gateway (api.kilo.ai)`at the same time?\\r\\n\\r\\nThe model was set too `--model kimi-k2.5-free`. I don't see in sequence of events any switch to Kilo AI gateway, please double check the analysis, we absolutely must not use this error as retry-able, find root cause of it and fix it. Also sequence of events should clearly state which actual providers were used, quote logs and quote code that made decisions.\\r\\n\\r\\nI don't understand what is going on. Please make the full picture crystal clear.\\r\\n\\r\\n\\r\\n\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901721132/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null},{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901722051\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901722051\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901722051,\"node_id\":\"IC_kwDOQYTy3M7oj43D\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T11:23:19Z\",\"updated_at\":\"2026-02-14T11:23:19Z\",\"body\":\"🤖 **AI Work Session Started**\\n\\nStarting automated work session at 2026-02-14T11:23:17.557Z\\n\\nThe PR has been converted to draft mode while work is in progress.\\n\\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901722051/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null}]", | |
| "is_error": false | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "5443a0a9-94a1-42f1-a388-915e6d0755dd", | |
| "tool_use_result": { | |
| "stdout": "[{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901661482\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901661482\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901661482,\"node_id\":\"IC_kwDOQYTy3M7ojqEq\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T10:37:26Z\",\"updated_at\":\"2026-02-14T10:37:26Z\",\"body\":\"## 🤖 Solution Draft Log\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n💰 **Cost estimation:**\\n- Public pricing estimate: $11.625604\\n- Calculated by Anthropic: $7.408781 USD\\n- Difference: $-4.216823 (-36.27%)\\n📎 **Log file uploaded as Gist** (1091KB)\\n🔗 [View complete solution draft log](https://gist.githubusercontent.com/konard/274a4690bbbe845884f571a1be0b8fa0/raw/2a43dc293fe890e00b12777a8e3dcdc271a3054b/solution-draft-log-pr-1771065441501.txt)\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901661482/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null},{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901661594\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901661594\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901661594,\"node_id\":\"IC_kwDOQYTy3M7ojqGa\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T10:37:32Z\",\"updated_at\":\"2026-02-14T10:37:32Z\",\"body\":\"## 🔄 Auto-restart 1/3\\n\\nDetected uncommitted changes from previous run. Starting new session to review and commit them.\\n\\n**Uncommitted files:**\\n```\\nM js/tests/batch.tools.test.js\\n```\\n\\n---\\n*Auto-restart will stop after changes are committed or after 2 more iterations. Please wait until working session will end and give your feedback.*\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901661594/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null},{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901672876\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901672876\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901672876,\"node_id\":\"IC_kwDOQYTy3M7ojs2s\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T10:46:11Z\",\"updated_at\":\"2026-02-14T10:46:11Z\",\"body\":\"## 🔄 Auto-restart 1/3 Log\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n💰 **Cost estimation:**\\n- Public pricing estimate: $4.305351\\n- Calculated by Anthropic: $2.597063 USD\\n- Difference: $-1.708288 (-39.68%)\\n📎 **Log file uploaded as Gist** (1564KB)\\n🔗 [View complete solution draft log](https://gist.githubusercontent.com/konard/23ecf096285349dc29ed8d2caf75c1a3/raw/31ae3a9d900c7be26181fc12ddd84819a263064b/solution-draft-log-pr-1771065966872.txt)\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901672876/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null},{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901673438\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901673438\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901673438,\"node_id\":\"IC_kwDOQYTy3M7ojs_e\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T10:46:39Z\",\"updated_at\":\"2026-02-14T10:46:39Z\",\"body\":\"```\\r\\n[2026-02-14T08:34:12.210Z] [INFO] {\\r\\n[2026-02-14T08:34:12.211Z] [INFO] \\\"type\\\": \\\"log\\\",\\r\\n[2026-02-14T08:34:12.211Z] [INFO] \\\"level\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.211Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.210Z\\\",\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"service\\\": \\\"session.prompt\\\",\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"name\\\": \\\"AI_JSONParseError\\\",\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"cause\\\": {},\\r\\n[2026-02-14T08:34:12.212Z] [INFO] \\\"text\\\": \\\"{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-jQugNdata:{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\\\\\",\\\\\\\"object\\\\\\\":\\\\\\\"chat.completion.chunk\\\\\\\",\\\\\\\"created\\\\\\\":1771058051,\\\\\\\"model\\\\\\\":\\\\\\\"kimi-k2.5\\\\\\\",\\\\\\\"choices\\\\\\\":[{\\\\\\\"index\\\\\\\":0,\\\\\\\"delta\\\\\\\":{\\\\\\\"role\\\\\\\":\\\\\\\"assistant\\\\\\\",\\\\\\\"content\\\\\\\":\\\\\\\"\\\\\\\"},\\\\\\\"finish_reason\\\\\\\":null}],\\\\\\\"system_fingerprint\\\\\\\":\\\\\\\"fpv0_f7e5c49a\\\\\\\"}\\\"\\r\\n[2026-02-14T08:34:12.213Z] [INFO] }\\r\\n[2026-02-14T08:34:12.213Z] [INFO] },\\r\\n[2026-02-14T08:34:12.213Z] [INFO] \\\"message\\\": \\\"stream error\\\"\\r\\n[2026-02-14T08:34:12.213Z] [INFO] }\\r\\n[2026-02-14T08:34:12.213Z] [INFO] {\\r\\n[2026-02-14T08:34:12.213Z] [INFO] \\\"type\\\": \\\"log\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"level\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.211Z\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"service\\\": \\\"session.processor\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"name\\\": \\\"AI_JSONParseError\\\",\\r\\n[2026-02-14T08:34:12.214Z] [INFO] \\\"cause\\\": {},\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"text\\\": \\\"{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-jQugNdata:{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\\\\\",\\\\\\\"object\\\\\\\":\\\\\\\"chat.completion.chunk\\\\\\\",\\\\\\\"created\\\\\\\":1771058051,\\\\\\\"model\\\\\\\":\\\\\\\"kimi-k2.5\\\\\\\",\\\\\\\"choices\\\\\\\":[{\\\\\\\"index\\\\\\\":0,\\\\\\\"delta\\\\\\\":{\\\\\\\"role\\\\\\\":\\\\\\\"assistant\\\\\\\",\\\\\\\"content\\\\\\\":\\\\\\\"\\\\\\\"},\\\\\\\"finish_reason\\\\\\\":null}],\\\\\\\"system_fingerprint\\\\\\\":\\\\\\\"fpv0_f7e5c49a\\\\\\\"}\\\"\\r\\n[2026-02-14T08:34:12.215Z] [INFO] },\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"message\\\": \\\"process\\\"\\r\\n[2026-02-14T08:34:12.215Z] [INFO] }\\r\\n[2026-02-14T08:34:12.215Z] [INFO] {\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"type\\\": \\\"session.error\\\",\\r\\n[2026-02-14T08:34:12.215Z] [INFO] \\\"level\\\": \\\"info\\\",\\r\\n[2026-02-14T08:34:12.216Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.211Z\\\",\\r\\n[2026-02-14T08:34:12.216Z] [INFO] \\\"service\\\": \\\"bus\\\",\\r\\n[2026-02-14T08:34:12.216Z] [INFO] \\\"message\\\": \\\"publishing\\\"\\r\\n[2026-02-14T08:34:12.216Z] [INFO] }\\r\\n[2026-02-14T08:34:12.216Z] [INFO] {\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"type\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"timestamp\\\": 1771058052211,\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"sessionID\\\": \\\"ses_3a4b73b0effeFXKMNNCv1Lm3b2\\\",\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"error\\\": {\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"name\\\": \\\"UnknownError\\\",\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"data\\\": {\\r\\n[2026-02-14T08:34:12.217Z] [INFO] \\\"message\\\": \\\"AI_JSONParseError: JSON parsing failed: Text: {\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-jQugNdata:{\\\\\\\"id\\\\\\\":\\\\\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\\\\\",\\\\\\\"object\\\\\\\":\\\\\\\"chat.completion.chunk\\\\\\\",\\\\\\\"created\\\\\\\":1771058051,\\\\\\\"model\\\\\\\":\\\\\\\"kimi-k2.5\\\\\\\",\\\\\\\"choices\\\\\\\":[{\\\\\\\"index\\\\\\\":0,\\\\\\\"delta\\\\\\\":{\\\\\\\"role\\\\\\\":\\\\\\\"assistant\\\\\\\",\\\\\\\"content\\\\\\\":\\\\\\\"\\\\\\\"},\\\\\\\"finish_reason\\\\\\\":null}],\\\\\\\"system_fingerprint\\\\\\\":\\\\\\\"fpv0_f7e5c49a\\\\\\\"}.\\\\nError message: JSON Parse error: Expected '}'\\\"\\r\\n[2026-02-14T08:34:12.217Z] [INFO] }\\r\\n[2026-02-14T08:34:12.218Z] [INFO] }\\r\\n[2026-02-14T08:34:12.218Z] [INFO] }\\r\\n[2026-02-14T08:34:12.218Z] [INFO] {\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"type\\\": \\\"message.part.updated\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"level\\\": \\\"info\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"timestamp\\\": \\\"2026-02-14T08:34:12.214Z\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"service\\\": \\\"bus\\\",\\r\\n[2026-02-14T08:34:12.218Z] [INFO] \\\"message\\\": \\\"publishing\\\"\\r\\n[2026-02-14T08:34:12.219Z] [INFO] }\\r\\n[2026-02-14T08:34:12.219Z] [INFO] {\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"type\\\": \\\"tool_use\\\",\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"timestamp\\\": 1771058052214,\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"sessionID\\\": \\\"ses_3a4b73b0effeFXKMNNCv1Lm3b2\\\",\\r\\n[2026-02-14T08:34:12.219Z] [INFO] \\\"part\\\": {\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"id\\\": \\\"prt_c5b4925d30010l5F6BrMXeE7d6\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"sessionID\\\": \\\"ses_3a4b73b0effeFXKMNNCv1Lm3b2\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"messageID\\\": \\\"msg_c5b490d94001JytADaAvPm4n2k\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"type\\\": \\\"tool\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"callID\\\": \\\"tool_FxSEARcHF9cviw2c0abG9qQE\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"tool\\\": \\\"read\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"state\\\": {\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"status\\\": \\\"error\\\",\\r\\n[2026-02-14T08:34:12.220Z] [INFO] \\\"input\\\": {},\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"error\\\": \\\"Tool execution aborted\\\",\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"time\\\": {\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"start\\\": 1771058052213,\\r\\n[2026-02-14T08:34:12.221Z] [INFO] \\\"end\\\": 1771058052213\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n[2026-02-14T08:34:12.221Z] [INFO] }\\r\\n```\\r\\n\\r\\nI think your analysis is wrong, we don't use OpenRouter, but OpenCode Zen. Also there no retry-able error here. That is `AI_JSONParseError`. And we need to double check code of other CLI agents, on how they handle it, and prevent root causes.\\r\\n\\r\\nDouble check the best experience from fresh version of https://github.com/anomalyco/opencode, https://github.com/google-gemini/gemini-cli, https://github.com/QwenLM/qwen-code, https://github.com/openai/codex.\\r\\n\\r\\nYou may want to use subagents to save your context on exploration of these after download to temporary folders.\\r\\n\\r\\nI need you to redo the analysis, file the issue to all responsible parties if not yet filed. And propose solutions or at least workarounds.\\r\\n\\r\\nPlease download all logs and data related about the issue to this repository, make sure we compile that data to `./docs/case-studies/issue-{id}` folder, and use it to do deep case study analysis (also make sure to search online for additional facts and data), in which we will reconstruct timeline/sequence of events, find root causes of the problem, and propose possible solutions (including known existing components/libraries, that solve similar problem or can help in solutions).\\r\\n\\r\\nIf issue related to any other repository/project, where we can report issues on GitHub, please do so. Each issue must contain reproducible examples, workarounds and suggestions for fix the issue in code.\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901673438/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null},{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901674300\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901674300\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901674300,\"node_id\":\"IC_kwDOQYTy3M7ojtM8\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T10:47:17Z\",\"updated_at\":\"2026-02-14T10:47:17Z\",\"body\":\"🤖 **AI Work Session Started**\\n\\nStarting automated work session at 2026-02-14T10:47:15.681Z\\n\\nThe PR has been converted to draft mode while work is in progress.\\n\\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901674300/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null},{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901707005\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901707005\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901707005,\"node_id\":\"IC_kwDOQYTy3M7oj1L9\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T11:12:02Z\",\"updated_at\":\"2026-02-14T11:12:02Z\",\"body\":\"## 🤖 Solution Draft Log\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n💰 **Cost estimation:**\\n- Public pricing estimate: $10.566791\\n- Calculated by Anthropic: $12.881222 USD\\n- Difference: $2.314431 (+21.90%)\\n📎 **Log file uploaded as Gist** (2807KB)\\n🔗 [View complete solution draft log](https://gist.githubusercontent.com/konard/644d8ab6696b6a6d614ad748d105af2e/raw/5807f0d3f3d6e1d6a0b3422fb06512efc8b4edb3/solution-draft-log-pr-1771067516587.txt)\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901707005/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null},{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901721132\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901721132\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901721132,\"node_id\":\"IC_kwDOQYTy3M7oj4os\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T11:22:36Z\",\"updated_at\":\"2026-02-14T11:22:36Z\",\"body\":\"That is absolutely wrong, this error is absolutely not retry-able, we need to find root cause and fix it. Explain how we got involved `OpenCode Zen → Kilo AI Gateway (api.kilo.ai)`at the same time?\\r\\n\\r\\nThe model was set too `--model kimi-k2.5-free`. I don't see in sequence of events any switch to Kilo AI gateway, please double check the analysis, we absolutely must not use this error as retry-able, find root cause of it and fix it. Also sequence of events should clearly state which actual providers were used, quote logs and quote code that made decisions.\\r\\n\\r\\nI don't understand what is going on. Please make the full picture crystal clear.\\r\\n\\r\\n\\r\\n\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901721132/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null},{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901722051\",\"html_url\":\"https://github.com/link-assistant/agent/pull/170#issuecomment-3901722051\",\"issue_url\":\"https://api.github.com/repos/link-assistant/agent/issues/170\",\"id\":3901722051,\"node_id\":\"IC_kwDOQYTy3M7oj43D\",\"user\":{\"login\":\"konard\",\"id\":1431904,\"node_id\":\"MDQ6VXNlcjE0MzE5MDQ=\",\"avatar_url\":\"https://avatars.githubusercontent.com/u/1431904?v=4\",\"gravatar_id\":\"\",\"url\":\"https://api.github.com/users/konard\",\"html_url\":\"https://github.com/konard\",\"followers_url\":\"https://api.github.com/users/konard/followers\",\"following_url\":\"https://api.github.com/users/konard/following{/other_user}\",\"gists_url\":\"https://api.github.com/users/konard/gists{/gist_id}\",\"starred_url\":\"https://api.github.com/users/konard/starred{/owner}{/repo}\",\"subscriptions_url\":\"https://api.github.com/users/konard/subscriptions\",\"organizations_url\":\"https://api.github.com/users/konard/orgs\",\"repos_url\":\"https://api.github.com/users/konard/repos\",\"events_url\":\"https://api.github.com/users/konard/events{/privacy}\",\"received_events_url\":\"https://api.github.com/users/konard/received_events\",\"type\":\"User\",\"user_view_type\":\"public\",\"site_admin\":false},\"created_at\":\"2026-02-14T11:23:19Z\",\"updated_at\":\"2026-02-14T11:23:19Z\",\"body\":\"🤖 **AI Work Session Started**\\n\\nStarting automated work session at 2026-02-14T11:23:17.557Z\\n\\nThe PR has been converted to draft mode while work is in progress.\\n\\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._\",\"author_association\":\"MEMBER\",\"pin\":null,\"reactions\":{\"url\":\"https://api.github.com/repos/link-assistant/agent/issues/comments/3901722051/reactions\",\"total_count\":0,\"+1\":0,\"-1\":0,\"laugh\":0,\"hooray\":0,\"confused\":0,\"heart\":0,\"rocket\":0,\"eyes\":0},\"performed_via_github_app\":null}]", | |
| "stderr": "", | |
| "interrupted": false, | |
| "isImage": false | |
| } | |
| } | |
| [2026-02-14T11:23:43.113Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_011uunB8TwGYLbu1dCHnVgnu", | |
| "type": "tool_result", | |
| "content": "[]", | |
| "is_error": false | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "466b1568-50b1-4dae-87c8-c3ae181f4a62", | |
| "tool_use_result": { | |
| "stdout": "[]", | |
| "stderr": "", | |
| "interrupted": false, | |
| "isImage": false | |
| } | |
| } | |
| [2026-02-14T11:23:47.969Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01BirVs11Sd63d2R8woYvYJa", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": "Now let me understand the latest feedback. The key complaint from the user (konard) is:\n\n1. **The analysis is wrong** - The `AI_JSONParseError` is NOT a retryable error, we need to find the root cause and fix it\n2. **Provider chain is unclear** - The model was set to `--model kimi-k2.5-free`, and they want to know exactly how `OpenCode Zen → Kilo AI Gateway` got involved\n3. **Need crystal clear picture** - Quote logs and code that made decisions about which providers were used\n\nLet me explore the current state of the codebase and understand what's been done so far." | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 16631, | |
| "cache_read_input_tokens": 25622, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 16631 | |
| }, | |
| "output_tokens": 1, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "7ecccd1d-eb03-416c-a6a0-f0377e32c9cb" | |
| } | |
| [2026-02-14T11:23:54.981Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01BirVs11Sd63d2R8woYvYJa", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01BP29hds2iRtJoBNQYopKyy", | |
| "name": "TodoWrite", | |
| "input": { | |
| "todos": [ | |
| { | |
| "content": "Understand current branch state and existing code changes", | |
| "status": "in_progress", | |
| "activeForm": "Understanding current branch state and existing code changes" | |
| }, | |
| { | |
| "content": "Download and analyze the original log file to trace exact provider chain", | |
| "status": "pending", | |
| "activeForm": "Downloading and analyzing original log file" | |
| }, | |
| { | |
| "content": "Trace through OpenCode Zen source code to understand how --model kimi-k2.5-free resolves to actual API endpoint", | |
| "status": "pending", | |
| "activeForm": "Tracing OpenCode Zen source code for model resolution" | |
| }, | |
| { | |
| "content": "Understand the exact SSE corruption mechanism and its root cause (not just retry)", | |
| "status": "pending", | |
| "activeForm": "Understanding SSE corruption mechanism root cause" | |
| }, | |
| { | |
| "content": "Study how other CLI agents handle mid-stream JSON parse errors", | |
| "status": "pending", | |
| "activeForm": "Studying other CLI agents' error handling" | |
| }, | |
| { | |
| "content": "Rewrite case study analysis with corrected provider chain and evidence-based timeline", | |
| "status": "pending", | |
| "activeForm": "Rewriting case study analysis with evidence" | |
| }, | |
| { | |
| "content": "Fix code to properly handle AI_JSONParseError (not just retry - address root cause)", | |
| "status": "pending", | |
| "activeForm": "Fixing code to properly handle AI_JSONParseError" | |
| }, | |
| { | |
| "content": "Verify/update upstream issues with correct information", | |
| "status": "pending", | |
| "activeForm": "Verifying upstream issues" | |
| }, | |
| { | |
| "content": "Run tests, lint, and verify all changes", | |
| "status": "pending", | |
| "activeForm": "Running tests and verification" | |
| }, | |
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| "status": "pending", | |
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| "status": "pending", | |
| "activeForm": "Tracing OpenCode Zen source code for model resolution" | |
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| "content": "Understand the exact SSE corruption mechanism and its root cause (not just retry)", | |
| "status": "pending", | |
| "activeForm": "Understanding SSE corruption mechanism root cause" | |
| }, | |
| { | |
| "content": "Study how other CLI agents handle mid-stream JSON parse errors", | |
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| "content": "Fix code to properly handle AI_JSONParseError (not just retry - address root cause)", | |
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| }, | |
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| "text": "Let me read the key source files to understand what's currently been done and what needs changing." | |
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| "content": " 1→import z from 'zod';\n 2→import { Bus } from '../bus';\n 3→import { NamedError } from '../util/error';\n 4→import { Message } from './message';\n 5→import {\n 6→ APICallError,\n 7→ convertToModelMessages,\n 8→ LoadAPIKeyError,\n 9→ type ModelMessage,\n 10→ type UIMessage,\n 11→} from 'ai';\n 12→import { Identifier } from '../id/id';\n 13→import { Snapshot } from '../snapshot';\n 14→import { fn } from '../util/fn';\n 15→import { Storage } from '../storage/storage';\n 16→\n 17→export namespace MessageV2 {\n 18→ export const OutputLengthError = NamedError.create(\n 19→ 'MessageOutputLengthError',\n 20→ z.object({})\n 21→ );\n 22→ export const AbortedError = NamedError.create(\n 23→ 'MessageAbortedError',\n 24→ z.object({ message: z.string() })\n 25→ );\n 26→ export const AuthError = NamedError.create(\n 27→ 'ProviderAuthError',\n 28→ z.object({\n 29→ providerID: z.string(),\n 30→ message: z.string(),\n 31→ })\n 32→ );\n 33→ export const APIError = NamedError.create(\n 34→ 'APIError',\n 35→ z.object({\n 36→ message: z.string(),\n 37→ statusCode: z.number().optional(),\n 38→ isRetryable: z.boolean(),\n 39→ responseHeaders: z.record(z.string(), z.string()).optional(),\n 40→ responseBody: z.string().optional(),\n 41→ })\n 42→ );\n 43→ export type APIError = z.infer<typeof APIError.Schema>;\n 44→\n 45→ /**\n 46→ * Socket connection error - typically caused by Bun's 10-second idle timeout\n 47→ * in Bun.serve() context. These errors are transient and should be retried.\n 48→ * See: https://github.com/oven-sh/bun/issues/14439\n 49→ */\n 50→ export const SocketConnectionError = NamedError.create(\n 51→ 'SocketConnectionError',\n 52→ z.object({\n 53→ message: z.string(),\n 54→ isRetryable: z.literal(true),\n 55→ })\n 56→ );\n 57→ export type SocketConnectionError = z.infer<\n 58→ typeof SocketConnectionError.Schema\n 59→ >;\n 60→\n 61→ /**\n 62→ * Timeout error - caused by AbortSignal.timeout() firing when an API request\n 63→ * takes too long. These are DOMException with name === 'TimeoutError'.\n 64→ * These errors are transient and should be retried with increasing intervals.\n 65→ * See: https://github.com/link-assistant/agent/issues/142\n 66→ */\n 67→ export const TimeoutError = NamedError.create(\n 68→ 'TimeoutError',\n 69→ z.object({\n 70→ message: z.string(),\n 71→ isRetryable: z.literal(true),\n 72→ })\n 73→ );\n 74→ export type TimeoutError = z.infer<typeof TimeoutError.Schema>;\n 75→\n 76→ /**\n 77→ * Stream parse error - caused by malformed JSON in SSE streams from AI providers.\n 78→ * This can happen when:\n 79→ * - SSE chunks are concatenated incorrectly (gateway/proxy issues, e.g. Kilo AI Gateway)\n 80→ * - Provider returns invalid JSON in stream (e.g. Kimi K2.5, GLM-4.7)\n 81→ * - Network issues corrupt stream data mid-flight\n 82→ * The Vercel AI SDK throws AI_JSONParseError which has no isRetryable property.\n 83→ * These errors are transient and should be retried.\n 84→ * See: https://github.com/link-assistant/agent/issues/169\n 85→ * See: https://github.com/vercel/ai/issues/12595\n 86→ * See: https://github.com/Kilo-Org/kilocode/issues/5875\n 87→ */\n 88→ export const StreamParseError = NamedError.create(\n 89→ 'StreamParseError',\n 90→ z.object({\n 91→ message: z.string(),\n 92→ isRetryable: z.literal(true),\n 93→ text: z.string().optional(), // The malformed text that failed to parse\n 94→ })\n 95→ );\n 96→ export type StreamParseError = z.infer<typeof StreamParseError.Schema>;\n 97→\n 98→ const PartBase = z.object({\n 99→ id: z.string(),\n 100→ sessionID: z.string(),\n 101→ messageID: z.string(),\n 102→ });\n 103→\n 104→ export const SnapshotPart = PartBase.extend({\n 105→ type: z.literal('snapshot'),\n 106→ snapshot: z.string(),\n 107→ }).meta({\n 108→ ref: 'SnapshotPart',\n 109→ });\n 110→ export type SnapshotPart = z.infer<typeof SnapshotPart>;\n 111→\n 112→ export const PatchPart = PartBase.extend({\n 113→ type: z.literal('patch'),\n 114→ hash: z.string(),\n 115→ files: z.string().array(),\n 116→ }).meta({\n 117→ ref: 'PatchPart',\n 118→ });\n 119→ export type PatchPart = z.infer<typeof PatchPart>;\n 120→\n 121→ export const TextPart = PartBase.extend({\n 122→ type: z.literal('text'),\n 123→ text: z.string(),\n 124→ synthetic: z.boolean().optional(),\n 125→ time: z\n 126→ .object({\n 127→ start: z.number(),\n 128→ end: z.number().optional(),\n 129→ })\n 130→ .optional(),\n 131→ metadata: z.record(z.string(), z.any()).optional(),\n 132→ }).meta({\n 133→ ref: 'TextPart',\n 134→ });\n 135→ export type TextPart = z.infer<typeof TextPart>;\n 136→\n 137→ export const ReasoningPart = PartBase.extend({\n 138→ type: z.literal('reasoning'),\n 139→ text: z.string(),\n 140→ metadata: z.record(z.string(), z.any()).optional(),\n 141→ time: z.object({\n 142→ start: z.number(),\n 143→ end: z.number().optional(),\n 144→ }),\n 145→ }).meta({\n 146→ ref: 'ReasoningPart',\n 147→ });\n 148→ export type ReasoningPart = z.infer<typeof ReasoningPart>;\n 149→\n 150→ const FilePartSourceBase = z.object({\n 151→ text: z\n 152→ .object({\n 153→ value: z.string(),\n 154→ start: z.number().int(),\n 155→ end: z.number().int(),\n 156→ })\n 157→ .meta({\n 158→ ref: 'FilePartSourceText',\n 159→ }),\n 160→ });\n 161→\n 162→ export const FileSource = FilePartSourceBase.extend({\n 163→ type: z.literal('file'),\n 164→ path: z.string(),\n 165→ }).meta({\n 166→ ref: 'FileSource',\n 167→ });\n 168→\n 169→ export const SymbolSource = FilePartSourceBase.extend({\n 170→ type: z.literal('symbol'),\n 171→ path: z.string(),\n 172→ range: z.object({\n 173→ start: z.object({ line: z.number(), character: z.number() }),\n 174→ end: z.object({ line: z.number(), character: z.number() }),\n 175→ }),\n 176→ name: z.string(),\n 177→ kind: z.number().int(),\n 178→ }).meta({\n 179→ ref: 'SymbolSource',\n 180→ });\n 181→\n 182→ export const FilePartSource = z\n 183→ .discriminatedUnion('type', [FileSource, SymbolSource])\n 184→ .meta({\n 185→ ref: 'FilePartSource',\n 186→ });\n 187→\n 188→ export const FilePart = PartBase.extend({\n 189→ type: z.literal('file'),\n 190→ mime: z.string(),\n 191→ filename: z.string().optional(),\n 192→ url: z.string(),\n 193→ source: FilePartSource.optional(),\n 194→ }).meta({\n 195→ ref: 'FilePart',\n 196→ });\n 197→ export type FilePart = z.infer<typeof FilePart>;\n 198→\n 199→ export const AgentPart = PartBase.extend({\n 200→ type: z.literal('agent'),\n 201→ name: z.string(),\n 202→ source: z\n 203→ .object({\n 204→ value: z.string(),\n 205→ start: z.number().int(),\n 206→ end: z.number().int(),\n 207→ })\n 208→ .optional(),\n 209→ }).meta({\n 210→ ref: 'AgentPart',\n 211→ });\n 212→ export type AgentPart = z.infer<typeof AgentPart>;\n 213→\n 214→ export const CompactionPart = PartBase.extend({\n 215→ type: z.literal('compaction'),\n 216→ }).meta({\n 217→ ref: 'CompactionPart',\n 218→ });\n 219→ export type CompactionPart = z.infer<typeof CompactionPart>;\n 220→\n 221→ export const SubtaskPart = PartBase.extend({\n 222→ type: z.literal('subtask'),\n 223→ prompt: z.string(),\n 224→ description: z.string(),\n 225→ agent: z.string(),\n 226→ });\n 227→ export type SubtaskPart = z.infer<typeof SubtaskPart>;\n 228→\n 229→ export const RetryPart = PartBase.extend({\n 230→ type: z.literal('retry'),\n 231→ attempt: z.number(),\n 232→ error: APIError.Schema,\n 233→ time: z.object({\n 234→ created: z.number(),\n 235→ }),\n 236→ }).meta({\n 237→ ref: 'RetryPart',\n 238→ });\n 239→ export type RetryPart = z.infer<typeof RetryPart>;\n 240→\n 241→ export const StepStartPart = PartBase.extend({\n 242→ type: z.literal('step-start'),\n 243→ snapshot: z.string().optional(),\n 244→ }).meta({\n 245→ ref: 'StepStartPart',\n 246→ });\n 247→ export type StepStartPart = z.infer<typeof StepStartPart>;\n 248→\n 249→ export const StepFinishPart = PartBase.extend({\n 250→ type: z.literal('step-finish'),\n 251→ reason: z.string(),\n 252→ snapshot: z.string().optional(),\n 253→ cost: z.number(),\n 254→ tokens: z.object({\n 255→ input: z.number(),\n 256→ output: z.number(),\n 257→ reasoning: z.number(),\n 258→ cache: z.object({\n 259→ read: z.number(),\n 260→ write: z.number(),\n 261→ }),\n 262→ }),\n 263→ }).meta({\n 264→ ref: 'StepFinishPart',\n 265→ });\n 266→ export type StepFinishPart = z.infer<typeof StepFinishPart>;\n 267→\n 268→ export const ToolStatePending = z\n 269→ .object({\n 270→ status: z.literal('pending'),\n 271→ input: z.record(z.string(), z.any()),\n 272→ raw: z.string(),\n 273→ })\n 274→ .meta({\n 275→ ref: 'ToolStatePending',\n 276→ });\n 277→\n 278→ export type ToolStatePending = z.infer<typeof ToolStatePending>;\n 279→\n 280→ export const ToolStateRunning = z\n 281→ .object({\n 282→ status: z.literal('running'),\n 283→ input: z.record(z.string(), z.any()),\n 284→ title: z.string().optional(),\n 285→ metadata: z.record(z.string(), z.any()).optional(),\n 286→ time: z.object({\n 287→ start: z.number(),\n 288→ }),\n 289→ })\n 290→ .meta({\n 291→ ref: 'ToolStateRunning',\n 292→ });\n 293→ export type ToolStateRunning = z.infer<typeof ToolStateRunning>;\n 294→\n 295→ export const ToolStateCompleted = z\n 296→ .object({\n 297→ status: z.literal('completed'),\n 298→ input: z.record(z.string(), z.any()),\n 299→ output: z.string(),\n 300→ title: z.string(),\n 301→ metadata: z.record(z.string(), z.any()),\n 302→ time: z.object({\n 303→ start: z.number(),\n 304→ end: z.number(),\n 305→ compacted: z.number().optional(),\n 306→ }),\n 307→ attachments: FilePart.array().optional(),\n 308→ })\n 309→ .meta({\n 310→ ref: 'ToolStateCompleted',\n 311→ });\n 312→ export type ToolStateCompleted = z.infer<typeof ToolStateCompleted>;\n 313→\n 314→ export const ToolStateError = z\n 315→ .object({\n 316→ status: z.literal('error'),\n 317→ input: z.record(z.string(), z.any()),\n 318→ error: z.string(),\n 319→ metadata: z.record(z.string(), z.any()).optional(),\n 320→ time: z.object({\n 321→ start: z.number(),\n 322→ end: z.number(),\n 323→ }),\n 324→ })\n 325→ .meta({\n 326→ ref: 'ToolStateError',\n 327→ });\n 328→ export type ToolStateError = z.infer<typeof ToolStateError>;\n 329→\n 330→ export const ToolState = z\n 331→ .discriminatedUnion('status', [\n 332→ ToolStatePending,\n 333→ ToolStateRunning,\n 334→ ToolStateCompleted,\n 335→ ToolStateError,\n 336→ ])\n 337→ .meta({\n 338→ ref: 'ToolState',\n 339→ });\n 340→\n 341→ export const ToolPart = PartBase.extend({\n 342→ type: z.literal('tool'),\n 343→ callID: z.string(),\n 344→ tool: z.string(),\n 345→ state: ToolState,\n 346→ metadata: z.record(z.string(), z.any()).optional(),\n 347→ }).meta({\n 348→ ref: 'ToolPart',\n 349→ });\n 350→ export type ToolPart = z.infer<typeof ToolPart>;\n 351→\n 352→ const Base = z.object({\n 353→ id: z.string(),\n 354→ sessionID: z.string(),\n 355→ });\n 356→\n 357→ export const User = Base.extend({\n 358→ role: z.literal('user'),\n 359→ time: z.object({\n 360→ created: z.number(),\n 361→ }),\n 362→ summary: z\n 363→ .object({\n 364→ title: z.string().optional(),\n 365→ body: z.string().optional(),\n 366→ diffs: Snapshot.FileDiff.array(),\n 367→ })\n 368→ .optional(),\n 369→ agent: z.string(),\n 370→ model: z.object({\n 371→ providerID: z.string(),\n 372→ modelID: z.string(),\n 373→ }),\n 374→ system: z.string().optional(),\n 375→ appendSystem: z.string().optional(),\n 376→ tools: z.record(z.string(), z.boolean()).optional(),\n 377→ }).meta({\n 378→ ref: 'UserMessage',\n 379→ });\n 380→ export type User = z.infer<typeof User>;\n 381→\n 382→ export const Part = z\n 383→ .discriminatedUnion('type', [\n 384→ TextPart,\n 385→ SubtaskPart,\n 386→ ReasoningPart,\n 387→ FilePart,\n 388→ ToolPart,\n 389→ StepStartPart,\n 390→ StepFinishPart,\n 391→ SnapshotPart,\n 392→ PatchPart,\n 393→ AgentPart,\n 394→ RetryPart,\n 395→ CompactionPart,\n 396→ ])\n 397→ .meta({\n 398→ ref: 'Part',\n 399→ });\n 400→ export type Part = z.infer<typeof Part>;\n 401→\n 402→ export const Assistant = Base.extend({\n 403→ role: z.literal('assistant'),\n 404→ time: z.object({\n 405→ created: z.number(),\n 406→ completed: z.number().optional(),\n 407→ }),\n 408→ error: z\n 409→ .discriminatedUnion('name', [\n 410→ AuthError.Schema,\n 411→ NamedError.Unknown.Schema,\n 412→ OutputLengthError.Schema,\n 413→ AbortedError.Schema,\n 414→ APIError.Schema,\n 415→ ])\n 416→ .optional(),\n 417→ parentID: z.string(),\n 418→ modelID: z.string(),\n 419→ providerID: z.string(),\n 420→ mode: z.string(),\n 421→ path: z.object({\n 422→ cwd: z.string(),\n 423→ root: z.string(),\n 424→ }),\n 425→ summary: z.boolean().optional(),\n 426→ cost: z.number(),\n 427→ tokens: z.object({\n 428→ input: z.number(),\n 429→ output: z.number(),\n 430→ reasoning: z.number(),\n 431→ cache: z.object({\n 432→ read: z.number(),\n 433→ write: z.number(),\n 434→ }),\n 435→ }),\n 436→ finish: z.string().optional(),\n 437→ }).meta({\n 438→ ref: 'AssistantMessage',\n 439→ });\n 440→ export type Assistant = z.infer<typeof Assistant>;\n 441→\n 442→ export const Info = z.discriminatedUnion('role', [User, Assistant]).meta({\n 443→ ref: 'Message',\n 444→ });\n 445→ export type Info = z.infer<typeof Info>;\n 446→\n 447→ export const Event = {\n 448→ Updated: Bus.event(\n 449→ 'message.updated',\n 450→ z.object({\n 451→ info: Info,\n 452→ })\n 453→ ),\n 454→ Removed: Bus.event(\n 455→ 'message.removed',\n 456→ z.object({\n 457→ sessionID: z.string(),\n 458→ messageID: z.string(),\n 459→ })\n 460→ ),\n 461→ PartUpdated: Bus.event(\n 462→ 'message.part.updated',\n 463→ z.object({\n 464→ part: Part,\n 465→ delta: z.string().optional(),\n 466→ })\n 467→ ),\n 468→ PartRemoved: Bus.event(\n 469→ 'message.part.removed',\n 470→ z.object({\n 471→ sessionID: z.string(),\n 472→ messageID: z.string(),\n 473→ partID: z.string(),\n 474→ })\n 475→ ),\n 476→ };\n 477→\n 478→ export const WithParts = z.object({\n 479→ info: Info,\n 480→ parts: z.array(Part),\n 481→ });\n 482→ export type WithParts = z.infer<typeof WithParts>;\n 483→\n 484→ export function fromV1(v1: Message.Info) {\n 485→ if (v1.role === 'assistant') {\n 486→ const info: Assistant = {\n 487→ id: v1.id,\n 488→ parentID: '',\n 489→ sessionID: v1.metadata.sessionID,\n 490→ role: 'assistant',\n 491→ time: {\n 492→ created: v1.metadata.time.created,\n 493→ completed: v1.metadata.time.completed,\n 494→ },\n 495→ cost: v1.metadata.assistant!.cost,\n 496→ path: v1.metadata.assistant!.path,\n 497→ summary: v1.metadata.assistant!.summary,\n 498→ tokens: v1.metadata.assistant!.tokens,\n 499→ modelID: v1.metadata.assistant!.modelID,\n 500→ providerID: v1.metadata.assistant!.providerID,\n 501→ mode: 'build',\n 502→ error: v1.metadata.error,\n 503→ };\n 504→ const parts = v1.parts.flatMap((part): Part[] => {\n 505→ const base = {\n 506→ id: Identifier.ascending('part'),\n 507→ messageID: v1.id,\n 508→ sessionID: v1.metadata.sessionID,\n 509→ };\n 510→ if (part.type === 'text') {\n 511→ return [\n 512→ {\n 513→ ...base,\n 514→ type: 'text',\n 515→ text: part.text,\n 516→ },\n 517→ ];\n 518→ }\n 519→ if (part.type === 'step-start') {\n 520→ return [\n 521→ {\n 522→ ...base,\n 523→ type: 'step-start',\n 524→ },\n 525→ ];\n 526→ }\n 527→ if (part.type === 'tool-invocation') {\n 528→ return [\n 529→ {\n 530→ ...base,\n 531→ type: 'tool',\n 532→ callID: part.toolInvocation.toolCallId,\n 533→ tool: part.toolInvocation.toolName,\n 534→ state: (() => {\n 535→ if (part.toolInvocation.state === 'partial-call') {\n 536→ return {\n 537→ status: 'pending',\n 538→ input: {},\n 539→ raw: '',\n 540→ };\n 541→ }\n 542→\n 543→ const { title, time, ...metadata } =\n 544→ v1.metadata.tool[part.toolInvocation.toolCallId] ?? {};\n 545→ if (part.toolInvocation.state === 'call') {\n 546→ return {\n 547→ status: 'running',\n 548→ input: part.toolInvocation.args,\n 549→ time: {\n 550→ start: time?.start,\n 551→ },\n 552→ };\n 553→ }\n 554→\n 555→ if (part.toolInvocation.state === 'result') {\n 556→ return {\n 557→ status: 'completed',\n 558→ input: part.toolInvocation.args,\n 559→ output: part.toolInvocation.result,\n 560→ title,\n 561→ time,\n 562→ metadata,\n 563→ };\n 564→ }\n 565→ throw new Error('unknown tool invocation state');\n 566→ })(),\n 567→ },\n 568→ ];\n 569→ }\n 570→ return [];\n 571→ });\n 572→ return {\n 573→ info,\n 574→ parts,\n 575→ };\n 576→ }\n 577→\n 578→ if (v1.role === 'user') {\n 579→ const info: User = {\n 580→ id: v1.id,\n 581→ sessionID: v1.metadata.sessionID,\n 582→ role: 'user',\n 583→ time: {\n 584→ created: v1.metadata.time.created,\n 585→ },\n 586→ agent: 'build',\n 587→ model: {\n 588→ providerID: 'opencode',\n 589→ modelID: 'opencode',\n 590→ },\n 591→ };\n 592→ const parts = v1.parts.flatMap((part): Part[] => {\n 593→ const base = {\n 594→ id: Identifier.ascending('part'),\n 595→ messageID: v1.id,\n 596→ sessionID: v1.metadata.sessionID,\n 597→ };\n 598→ if (part.type === 'text') {\n 599→ return [\n 600→ {\n 601→ ...base,\n 602→ type: 'text',\n 603→ text: part.text,\n 604→ },\n 605→ ];\n 606→ }\n 607→ if (part.type === 'file') {\n 608→ return [\n 609→ {\n 610→ ...base,\n 611→ type: 'file',\n 612→ mime: part.mediaType,\n 613→ filename: part.filename,\n 614→ url: part.url,\n 615→ },\n 616→ ];\n 617→ }\n 618→ return [];\n 619→ });\n 620→ return { info, parts };\n 621→ }\n 622→\n 623→ throw new Error('unknown message type');\n 624→ }\n 625→\n 626→ export async function toModelMessage(\n 627→ input: {\n 628→ info: Info;\n 629→ parts: Part[];\n 630→ }[]\n 631→ ): Promise<ModelMessage[]> {\n 632→ const result: UIMessage[] = [];\n 633→\n 634→ for (const msg of input) {\n 635→ if (msg.parts.length === 0) continue;\n 636→\n 637→ if (msg.info.role === 'user') {\n 638→ const userMessage: UIMessage = {\n 639→ id: msg.info.id,\n 640→ role: 'user',\n 641→ parts: [],\n 642→ };\n 643→ result.push(userMessage);\n 644→ for (const part of msg.parts) {\n 645→ if (part.type === 'text')\n 646→ userMessage.parts.push({\n 647→ type: 'text',\n 648→ text: part.text,\n 649→ });\n 650→ // text/plain and directory files are converted into text parts, ignore them\n 651→ if (\n 652→ part.type === 'file' &&\n 653→ part.mime !== 'text/plain' &&\n 654→ part.mime !== 'application/x-directory'\n 655→ )\n 656→ userMessage.parts.push({\n 657→ type: 'file',\n 658→ url: part.url,\n 659→ mediaType: part.mime,\n 660→ filename: part.filename,\n 661→ });\n 662→\n 663→ if (part.type === 'compaction') {\n 664→ userMessage.parts.push({\n 665→ type: 'text',\n 666→ text: 'What did we do so far?',\n 667→ });\n 668→ }\n 669→ if (part.type === 'subtask') {\n 670→ userMessage.parts.push({\n 671→ type: 'text',\n 672→ text: 'The following tool was executed by the user',\n 673→ });\n 674→ }\n 675→ }\n 676→ }\n 677→\n 678→ if (msg.info.role === 'assistant') {\n 679→ const assistantMessage: UIMessage = {\n 680→ id: msg.info.id,\n 681→ role: 'assistant',\n 682→ parts: [],\n 683→ };\n 684→ result.push(assistantMessage);\n 685→ for (const part of msg.parts) {\n 686→ if (part.type === 'text')\n 687→ assistantMessage.parts.push({\n 688→ type: 'text',\n 689→ text: part.text,\n 690→ providerMetadata: part.metadata,\n 691→ });\n 692→ if (part.type === 'step-start')\n 693→ assistantMessage.parts.push({\n 694→ type: 'step-start',\n 695→ });\n 696→ if (part.type === 'tool') {\n 697→ if (part.state.status === 'completed') {\n 698→ if (part.state.attachments?.length) {\n 699→ result.push({\n 700→ id: Identifier.ascending('message'),\n 701→ role: 'user',\n 702→ parts: [\n 703→ {\n 704→ type: 'text',\n 705→ text: `Tool ${part.tool} returned an attachment:`,\n 706→ },\n 707→ ...part.state.attachments.map((attachment) => ({\n 708→ type: 'file' as const,\n 709→ url: attachment.url,\n 710→ mediaType: attachment.mime,\n 711→ filename: attachment.filename,\n 712→ })),\n 713→ ],\n 714→ });\n 715→ }\n 716→ assistantMessage.parts.push({\n 717→ type: ('tool-' + part.tool) as `tool-${string}`,\n 718→ state: 'output-available',\n 719→ toolCallId: part.callID,\n 720→ input: part.state.input,\n 721→ output: part.state.time.compacted\n 722→ ? '[Old tool result content cleared]'\n 723→ : part.state.output,\n 724→ callProviderMetadata: part.metadata,\n 725→ });\n 726→ }\n 727→ if (part.state.status === 'error')\n 728→ assistantMessage.parts.push({\n 729→ type: ('tool-' + part.tool) as `tool-${string}`,\n 730→ state: 'output-error',\n 731→ toolCallId: part.callID,\n 732→ input: part.state.input,\n 733→ errorText: part.state.error,\n 734→ callProviderMetadata: part.metadata,\n 735→ });\n 736→ }\n 737→ if (part.type === 'reasoning') {\n 738→ assistantMessage.parts.push({\n 739→ type: 'reasoning',\n 740→ text: part.text,\n 741→ providerMetadata: part.metadata,\n 742→ });\n 743→ }\n 744→ }\n 745→ }\n 746→ }\n 747→\n 748→ return await convertToModelMessages(result);\n 749→ }\n 750→\n 751→ export const stream = fn(\n 752→ Identifier.schema('session'),\n 753→ async function* (sessionID) {\n 754→ const list = await Array.fromAsync(\n 755→ await Storage.list(['message', sessionID])\n 756→ );\n 757→ for (let i = list.length - 1; i >= 0; i--) {\n 758→ yield await get({\n 759→ sessionID,\n 760→ messageID: list[i][2],\n 761→ });\n 762→ }\n 763→ }\n 764→ );\n 765→\n 766→ export const parts = fn(Identifier.schema('message'), async (messageID) => {\n 767→ const result = [] as MessageV2.Part[];\n 768→ for (const item of await Storage.list(['part', messageID])) {\n 769→ const read = await Storage.read<MessageV2.Part>(item);\n 770→ result.push(read);\n 771→ }\n 772→ result.sort((a, b) => (a.id > b.id ? 1 : -1));\n 773→ return result;\n 774→ });\n 775→\n 776→ export const get = fn(\n 777→ z.object({\n 778→ sessionID: Identifier.schema('session'),\n 779→ messageID: Identifier.schema('message'),\n 780→ }),\n 781→ async (input) => {\n 782→ return {\n 783→ info: await Storage.read<MessageV2.Info>([\n 784→ 'message',\n 785→ input.sessionID,\n 786→ input.messageID,\n 787→ ]),\n 788→ parts: await parts(input.messageID),\n 789→ };\n 790→ }\n 791→ );\n 792→\n 793→ export async function filterCompacted(\n 794→ stream: AsyncIterable<MessageV2.WithParts>\n 795→ ) {\n 796→ const result = [] as MessageV2.WithParts[];\n 797→ const completed = new Set<string>();\n 798→ for await (const msg of stream) {\n 799→ result.push(msg);\n 800→ if (\n 801→ msg.info.role === 'user' &&\n 802→ completed.has(msg.info.id) &&\n 803→ msg.parts.some((part) => part.type === 'compaction')\n 804→ )\n 805→ break;\n 806→ if (msg.info.role === 'assistant' && msg.info.summary && msg.info.finish)\n 807→ completed.add(msg.info.parentID);\n 808→ }\n 809→ result.reverse();\n 810→ return result;\n 811→ }\n 812→\n 813→ export function fromError(e: unknown, ctx: { providerID: string }) {\n 814→ switch (true) {\n 815→ case e instanceof DOMException && e.name === 'AbortError':\n 816→ return new MessageV2.AbortedError(\n 817→ { message: e.message },\n 818→ {\n 819→ cause: e,\n 820→ }\n 821→ ).toObject();\n 822→ case e instanceof DOMException && e.name === 'TimeoutError':\n 823→ return new MessageV2.TimeoutError(\n 824→ { message: e.message, isRetryable: true },\n 825→ { cause: e }\n 826→ ).toObject();\n 827→ case MessageV2.OutputLengthError.isInstance(e):\n 828→ return e;\n 829→ case LoadAPIKeyError.isInstance(e):\n 830→ return new MessageV2.AuthError(\n 831→ {\n 832→ providerID: ctx.providerID,\n 833→ message: e.message,\n 834→ },\n 835→ { cause: e }\n 836→ ).toObject();\n 837→ case APICallError.isInstance(e):\n 838→ return new MessageV2.APIError(\n 839→ {\n 840→ message: e.message,\n 841→ statusCode: e.statusCode,\n 842→ isRetryable: e.isRetryable,\n 843→ responseHeaders: e.responseHeaders,\n 844→ responseBody: e.responseBody,\n 845→ },\n 846→ { cause: e }\n 847→ ).toObject();\n 848→ case e instanceof Error: {\n 849→ const message = e.message || e.toString();\n 850→ // Detect stream/JSON parse errors from AI SDK and providers\n 851→ // AI_JSONParseError has no isRetryable property in the Vercel AI SDK\n 852→ // and is never retried by the SDK's built-in retry mechanism.\n 853→ // These are typically transient (SSE chunk corruption at gateway level).\n 854→ // See: https://github.com/link-assistant/agent/issues/169\n 855→ // See: https://github.com/vercel/ai/issues/12595\n 856→ const isStreamParseError =\n 857→ e.name === 'AI_JSONParseError' ||\n 858→ message.includes('AI_JSONParseError') ||\n 859→ message.includes('JSON parsing failed') ||\n 860→ message.includes('JSON Parse error') ||\n 861→ (message.includes('Unexpected token') && message.includes('JSON')) ||\n 862→ message.includes('is not valid JSON');\n 863→ if (isStreamParseError) {\n 864→ // Extract the malformed text if available\n 865→ const text = (e as { text?: string }).text;\n 866→ return new MessageV2.StreamParseError(\n 867→ { message, isRetryable: true, text },\n 868→ { cause: e }\n 869→ ).toObject();\n 870→ }\n 871→ // Detect Bun socket connection errors (known Bun issue with 10s idle timeout)\n 872→ // See: https://github.com/oven-sh/bun/issues/14439\n 873→ const isSocketError =\n 874→ message.includes('socket connection was closed') ||\n 875→ message.includes('closed unexpectedly');\n 876→ if (isSocketError) {\n 877→ return new MessageV2.SocketConnectionError(\n 878→ { message, isRetryable: true },\n 879→ { cause: e }\n 880→ ).toObject();\n 881→ }\n 882→ // Detect timeout errors from various sources\n 883→ // See: https://github.com/link-assistant/agent/issues/142\n 884→ const isTimeoutError =\n 885→ message.includes('The operation timed out') ||\n 886→ message.includes('timed out') ||\n 887→ e.name === 'TimeoutError';\n 888→ if (isTimeoutError) {\n 889→ return new MessageV2.TimeoutError(\n 890→ { message, isRetryable: true },\n 891→ { cause: e }\n 892→ ).toObject();\n 893→ }\n 894→ return new NamedError.Unknown(\n 895→ { message: e.toString() },\n 896→ { cause: e }\n 897→ ).toObject();\n 898→ }\n 899→ default:\n 900→ return new NamedError.Unknown(\n 901→ { message: JSON.stringify(e) },\n 902→ { cause: e }\n 903→ );\n 904→ }\n 905→ }\n 906→}\n 907→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "06757913-886d-48af-b719-b7fd7b9f2cd0", | |
| "tool_use_result": { | |
| "type": "text", | |
| "file": { | |
| "filePath": "/tmp/gh-issue-solver-1771068195706/js/src/session/message-v2.ts", | |
| "content": "import z from 'zod';\nimport { Bus } from '../bus';\nimport { NamedError } from '../util/error';\nimport { Message } from './message';\nimport {\n APICallError,\n convertToModelMessages,\n LoadAPIKeyError,\n type ModelMessage,\n type UIMessage,\n} from 'ai';\nimport { Identifier } from '../id/id';\nimport { Snapshot } from '../snapshot';\nimport { fn } from '../util/fn';\nimport { Storage } from '../storage/storage';\n\nexport namespace MessageV2 {\n export const OutputLengthError = NamedError.create(\n 'MessageOutputLengthError',\n z.object({})\n );\n export const AbortedError = NamedError.create(\n 'MessageAbortedError',\n z.object({ message: z.string() })\n );\n export const AuthError = NamedError.create(\n 'ProviderAuthError',\n z.object({\n providerID: z.string(),\n message: z.string(),\n })\n );\n export const APIError = NamedError.create(\n 'APIError',\n z.object({\n message: z.string(),\n statusCode: z.number().optional(),\n isRetryable: z.boolean(),\n responseHeaders: z.record(z.string(), z.string()).optional(),\n responseBody: z.string().optional(),\n })\n );\n export type APIError = z.infer<typeof APIError.Schema>;\n\n /**\n * Socket connection error - typically caused by Bun's 10-second idle timeout\n * in Bun.serve() context. These errors are transient and should be retried.\n * See: https://github.com/oven-sh/bun/issues/14439\n */\n export const SocketConnectionError = NamedError.create(\n 'SocketConnectionError',\n z.object({\n message: z.string(),\n isRetryable: z.literal(true),\n })\n );\n export type SocketConnectionError = z.infer<\n typeof SocketConnectionError.Schema\n >;\n\n /**\n * Timeout error - caused by AbortSignal.timeout() firing when an API request\n * takes too long. These are DOMException with name === 'TimeoutError'.\n * These errors are transient and should be retried with increasing intervals.\n * See: https://github.com/link-assistant/agent/issues/142\n */\n export const TimeoutError = NamedError.create(\n 'TimeoutError',\n z.object({\n message: z.string(),\n isRetryable: z.literal(true),\n })\n );\n export type TimeoutError = z.infer<typeof TimeoutError.Schema>;\n\n /**\n * Stream parse error - caused by malformed JSON in SSE streams from AI providers.\n * This can happen when:\n * - SSE chunks are concatenated incorrectly (gateway/proxy issues, e.g. Kilo AI Gateway)\n * - Provider returns invalid JSON in stream (e.g. Kimi K2.5, GLM-4.7)\n * - Network issues corrupt stream data mid-flight\n * The Vercel AI SDK throws AI_JSONParseError which has no isRetryable property.\n * These errors are transient and should be retried.\n * See: https://github.com/link-assistant/agent/issues/169\n * See: https://github.com/vercel/ai/issues/12595\n * See: https://github.com/Kilo-Org/kilocode/issues/5875\n */\n export const StreamParseError = NamedError.create(\n 'StreamParseError',\n z.object({\n message: z.string(),\n isRetryable: z.literal(true),\n text: z.string().optional(), // The malformed text that failed to parse\n })\n );\n export type StreamParseError = z.infer<typeof StreamParseError.Schema>;\n\n const PartBase = z.object({\n id: z.string(),\n sessionID: z.string(),\n messageID: z.string(),\n });\n\n export const SnapshotPart = PartBase.extend({\n type: z.literal('snapshot'),\n snapshot: z.string(),\n }).meta({\n ref: 'SnapshotPart',\n });\n export type SnapshotPart = z.infer<typeof SnapshotPart>;\n\n export const PatchPart = PartBase.extend({\n type: z.literal('patch'),\n hash: z.string(),\n files: z.string().array(),\n }).meta({\n ref: 'PatchPart',\n });\n export type PatchPart = z.infer<typeof PatchPart>;\n\n export const TextPart = PartBase.extend({\n type: z.literal('text'),\n text: z.string(),\n synthetic: z.boolean().optional(),\n time: z\n .object({\n start: z.number(),\n end: z.number().optional(),\n })\n .optional(),\n metadata: z.record(z.string(), z.any()).optional(),\n }).meta({\n ref: 'TextPart',\n });\n export type TextPart = z.infer<typeof TextPart>;\n\n export const ReasoningPart = PartBase.extend({\n type: z.literal('reasoning'),\n text: z.string(),\n metadata: z.record(z.string(), z.any()).optional(),\n time: z.object({\n start: z.number(),\n end: z.number().optional(),\n }),\n }).meta({\n ref: 'ReasoningPart',\n });\n export type ReasoningPart = z.infer<typeof ReasoningPart>;\n\n const FilePartSourceBase = z.object({\n text: z\n .object({\n value: z.string(),\n start: z.number().int(),\n end: z.number().int(),\n })\n .meta({\n ref: 'FilePartSourceText',\n }),\n });\n\n export const FileSource = FilePartSourceBase.extend({\n type: z.literal('file'),\n path: z.string(),\n }).meta({\n ref: 'FileSource',\n });\n\n export const SymbolSource = FilePartSourceBase.extend({\n type: z.literal('symbol'),\n path: z.string(),\n range: z.object({\n start: z.object({ line: z.number(), character: z.number() }),\n end: z.object({ line: z.number(), character: z.number() }),\n }),\n name: z.string(),\n kind: z.number().int(),\n }).meta({\n ref: 'SymbolSource',\n });\n\n export const FilePartSource = z\n .discriminatedUnion('type', [FileSource, SymbolSource])\n .meta({\n ref: 'FilePartSource',\n });\n\n export const FilePart = PartBase.extend({\n type: z.literal('file'),\n mime: z.string(),\n filename: z.string().optional(),\n url: z.string(),\n source: FilePartSource.optional(),\n }).meta({\n ref: 'FilePart',\n });\n export type FilePart = z.infer<typeof FilePart>;\n\n export const AgentPart = PartBase.extend({\n type: z.literal('agent'),\n name: z.string(),\n source: z\n .object({\n value: z.string(),\n start: z.number().int(),\n end: z.number().int(),\n })\n .optional(),\n }).meta({\n ref: 'AgentPart',\n });\n export type AgentPart = z.infer<typeof AgentPart>;\n\n export const CompactionPart = PartBase.extend({\n type: z.literal('compaction'),\n }).meta({\n ref: 'CompactionPart',\n });\n export type CompactionPart = z.infer<typeof CompactionPart>;\n\n export const SubtaskPart = PartBase.extend({\n type: z.literal('subtask'),\n prompt: z.string(),\n description: z.string(),\n agent: z.string(),\n });\n export type SubtaskPart = z.infer<typeof SubtaskPart>;\n\n export const RetryPart = PartBase.extend({\n type: z.literal('retry'),\n attempt: z.number(),\n error: APIError.Schema,\n time: z.object({\n created: z.number(),\n }),\n }).meta({\n ref: 'RetryPart',\n });\n export type RetryPart = z.infer<typeof RetryPart>;\n\n export const StepStartPart = PartBase.extend({\n type: z.literal('step-start'),\n snapshot: z.string().optional(),\n }).meta({\n ref: 'StepStartPart',\n });\n export type StepStartPart = z.infer<typeof StepStartPart>;\n\n export const StepFinishPart = PartBase.extend({\n type: z.literal('step-finish'),\n reason: z.string(),\n snapshot: z.string().optional(),\n cost: z.number(),\n tokens: z.object({\n input: z.number(),\n output: z.number(),\n reasoning: z.number(),\n cache: z.object({\n read: z.number(),\n write: z.number(),\n }),\n }),\n }).meta({\n ref: 'StepFinishPart',\n });\n export type StepFinishPart = z.infer<typeof StepFinishPart>;\n\n export const ToolStatePending = z\n .object({\n status: z.literal('pending'),\n input: z.record(z.string(), z.any()),\n raw: z.string(),\n })\n .meta({\n ref: 'ToolStatePending',\n });\n\n export type ToolStatePending = z.infer<typeof ToolStatePending>;\n\n export const ToolStateRunning = z\n .object({\n status: z.literal('running'),\n input: z.record(z.string(), z.any()),\n title: z.string().optional(),\n metadata: z.record(z.string(), z.any()).optional(),\n time: z.object({\n start: z.number(),\n }),\n })\n .meta({\n ref: 'ToolStateRunning',\n });\n export type ToolStateRunning = z.infer<typeof ToolStateRunning>;\n\n export const ToolStateCompleted = z\n .object({\n status: z.literal('completed'),\n input: z.record(z.string(), z.any()),\n output: z.string(),\n title: z.string(),\n metadata: z.record(z.string(), z.any()),\n time: z.object({\n start: z.number(),\n end: z.number(),\n compacted: z.number().optional(),\n }),\n attachments: FilePart.array().optional(),\n })\n .meta({\n ref: 'ToolStateCompleted',\n });\n export type ToolStateCompleted = z.infer<typeof ToolStateCompleted>;\n\n export const ToolStateError = z\n .object({\n status: z.literal('error'),\n input: z.record(z.string(), z.any()),\n error: z.string(),\n metadata: z.record(z.string(), z.any()).optional(),\n time: z.object({\n start: z.number(),\n end: z.number(),\n }),\n })\n .meta({\n ref: 'ToolStateError',\n });\n export type ToolStateError = z.infer<typeof ToolStateError>;\n\n export const ToolState = z\n .discriminatedUnion('status', [\n ToolStatePending,\n ToolStateRunning,\n ToolStateCompleted,\n ToolStateError,\n ])\n .meta({\n ref: 'ToolState',\n });\n\n export const ToolPart = PartBase.extend({\n type: z.literal('tool'),\n callID: z.string(),\n tool: z.string(),\n state: ToolState,\n metadata: z.record(z.string(), z.any()).optional(),\n }).meta({\n ref: 'ToolPart',\n });\n export type ToolPart = z.infer<typeof ToolPart>;\n\n const Base = z.object({\n id: z.string(),\n sessionID: z.string(),\n });\n\n export const User = Base.extend({\n role: z.literal('user'),\n time: z.object({\n created: z.number(),\n }),\n summary: z\n .object({\n title: z.string().optional(),\n body: z.string().optional(),\n diffs: Snapshot.FileDiff.array(),\n })\n .optional(),\n agent: z.string(),\n model: z.object({\n providerID: z.string(),\n modelID: z.string(),\n }),\n system: z.string().optional(),\n appendSystem: z.string().optional(),\n tools: z.record(z.string(), z.boolean()).optional(),\n }).meta({\n ref: 'UserMessage',\n });\n export type User = z.infer<typeof User>;\n\n export const Part = z\n .discriminatedUnion('type', [\n TextPart,\n SubtaskPart,\n ReasoningPart,\n FilePart,\n ToolPart,\n StepStartPart,\n StepFinishPart,\n SnapshotPart,\n PatchPart,\n AgentPart,\n RetryPart,\n CompactionPart,\n ])\n .meta({\n ref: 'Part',\n });\n export type Part = z.infer<typeof Part>;\n\n export const Assistant = Base.extend({\n role: z.literal('assistant'),\n time: z.object({\n created: z.number(),\n completed: z.number().optional(),\n }),\n error: z\n .discriminatedUnion('name', [\n AuthError.Schema,\n NamedError.Unknown.Schema,\n OutputLengthError.Schema,\n AbortedError.Schema,\n APIError.Schema,\n ])\n .optional(),\n parentID: z.string(),\n modelID: z.string(),\n providerID: z.string(),\n mode: z.string(),\n path: z.object({\n cwd: z.string(),\n root: z.string(),\n }),\n summary: z.boolean().optional(),\n cost: z.number(),\n tokens: z.object({\n input: z.number(),\n output: z.number(),\n reasoning: z.number(),\n cache: z.object({\n read: z.number(),\n write: z.number(),\n }),\n }),\n finish: z.string().optional(),\n }).meta({\n ref: 'AssistantMessage',\n });\n export type Assistant = z.infer<typeof Assistant>;\n\n export const Info = z.discriminatedUnion('role', [User, Assistant]).meta({\n ref: 'Message',\n });\n export type Info = z.infer<typeof Info>;\n\n export const Event = {\n Updated: Bus.event(\n 'message.updated',\n z.object({\n info: Info,\n })\n ),\n Removed: Bus.event(\n 'message.removed',\n z.object({\n sessionID: z.string(),\n messageID: z.string(),\n })\n ),\n PartUpdated: Bus.event(\n 'message.part.updated',\n z.object({\n part: Part,\n delta: z.string().optional(),\n })\n ),\n PartRemoved: Bus.event(\n 'message.part.removed',\n z.object({\n sessionID: z.string(),\n messageID: z.string(),\n partID: z.string(),\n })\n ),\n };\n\n export const WithParts = z.object({\n info: Info,\n parts: z.array(Part),\n });\n export type WithParts = z.infer<typeof WithParts>;\n\n export function fromV1(v1: Message.Info) {\n if (v1.role === 'assistant') {\n const info: Assistant = {\n id: v1.id,\n parentID: '',\n sessionID: v1.metadata.sessionID,\n role: 'assistant',\n time: {\n created: v1.metadata.time.created,\n completed: v1.metadata.time.completed,\n },\n cost: v1.metadata.assistant!.cost,\n path: v1.metadata.assistant!.path,\n summary: v1.metadata.assistant!.summary,\n tokens: v1.metadata.assistant!.tokens,\n modelID: v1.metadata.assistant!.modelID,\n providerID: v1.metadata.assistant!.providerID,\n mode: 'build',\n error: v1.metadata.error,\n };\n const parts = v1.parts.flatMap((part): Part[] => {\n const base = {\n id: Identifier.ascending('part'),\n messageID: v1.id,\n sessionID: v1.metadata.sessionID,\n };\n if (part.type === 'text') {\n return [\n {\n ...base,\n type: 'text',\n text: part.text,\n },\n ];\n }\n if (part.type === 'step-start') {\n return [\n {\n ...base,\n type: 'step-start',\n },\n ];\n }\n if (part.type === 'tool-invocation') {\n return [\n {\n ...base,\n type: 'tool',\n callID: part.toolInvocation.toolCallId,\n tool: part.toolInvocation.toolName,\n state: (() => {\n if (part.toolInvocation.state === 'partial-call') {\n return {\n status: 'pending',\n input: {},\n raw: '',\n };\n }\n\n const { title, time, ...metadata } =\n v1.metadata.tool[part.toolInvocation.toolCallId] ?? {};\n if (part.toolInvocation.state === 'call') {\n return {\n status: 'running',\n input: part.toolInvocation.args,\n time: {\n start: time?.start,\n },\n };\n }\n\n if (part.toolInvocation.state === 'result') {\n return {\n status: 'completed',\n input: part.toolInvocation.args,\n output: part.toolInvocation.result,\n title,\n time,\n metadata,\n };\n }\n throw new Error('unknown tool invocation state');\n })(),\n },\n ];\n }\n return [];\n });\n return {\n info,\n parts,\n };\n }\n\n if (v1.role === 'user') {\n const info: User = {\n id: v1.id,\n sessionID: v1.metadata.sessionID,\n role: 'user',\n time: {\n created: v1.metadata.time.created,\n },\n agent: 'build',\n model: {\n providerID: 'opencode',\n modelID: 'opencode',\n },\n };\n const parts = v1.parts.flatMap((part): Part[] => {\n const base = {\n id: Identifier.ascending('part'),\n messageID: v1.id,\n sessionID: v1.metadata.sessionID,\n };\n if (part.type === 'text') {\n return [\n {\n ...base,\n type: 'text',\n text: part.text,\n },\n ];\n }\n if (part.type === 'file') {\n return [\n {\n ...base,\n type: 'file',\n mime: part.mediaType,\n filename: part.filename,\n url: part.url,\n },\n ];\n }\n return [];\n });\n return { info, parts };\n }\n\n throw new Error('unknown message type');\n }\n\n export async function toModelMessage(\n input: {\n info: Info;\n parts: Part[];\n }[]\n ): Promise<ModelMessage[]> {\n const result: UIMessage[] = [];\n\n for (const msg of input) {\n if (msg.parts.length === 0) continue;\n\n if (msg.info.role === 'user') {\n const userMessage: UIMessage = {\n id: msg.info.id,\n role: 'user',\n parts: [],\n };\n result.push(userMessage);\n for (const part of msg.parts) {\n if (part.type === 'text')\n userMessage.parts.push({\n type: 'text',\n text: part.text,\n });\n // text/plain and directory files are converted into text parts, ignore them\n if (\n part.type === 'file' &&\n part.mime !== 'text/plain' &&\n part.mime !== 'application/x-directory'\n )\n userMessage.parts.push({\n type: 'file',\n url: part.url,\n mediaType: part.mime,\n filename: part.filename,\n });\n\n if (part.type === 'compaction') {\n userMessage.parts.push({\n type: 'text',\n text: 'What did we do so far?',\n });\n }\n if (part.type === 'subtask') {\n userMessage.parts.push({\n type: 'text',\n text: 'The following tool was executed by the user',\n });\n }\n }\n }\n\n if (msg.info.role === 'assistant') {\n const assistantMessage: UIMessage = {\n id: msg.info.id,\n role: 'assistant',\n parts: [],\n };\n result.push(assistantMessage);\n for (const part of msg.parts) {\n if (part.type === 'text')\n assistantMessage.parts.push({\n type: 'text',\n text: part.text,\n providerMetadata: part.metadata,\n });\n if (part.type === 'step-start')\n assistantMessage.parts.push({\n type: 'step-start',\n });\n if (part.type === 'tool') {\n if (part.state.status === 'completed') {\n if (part.state.attachments?.length) {\n result.push({\n id: Identifier.ascending('message'),\n role: 'user',\n parts: [\n {\n type: 'text',\n text: `Tool ${part.tool} returned an attachment:`,\n },\n ...part.state.attachments.map((attachment) => ({\n type: 'file' as const,\n url: attachment.url,\n mediaType: attachment.mime,\n filename: attachment.filename,\n })),\n ],\n });\n }\n assistantMessage.parts.push({\n type: ('tool-' + part.tool) as `tool-${string}`,\n state: 'output-available',\n toolCallId: part.callID,\n input: part.state.input,\n output: part.state.time.compacted\n ? '[Old tool result content cleared]'\n : part.state.output,\n callProviderMetadata: part.metadata,\n });\n }\n if (part.state.status === 'error')\n assistantMessage.parts.push({\n type: ('tool-' + part.tool) as `tool-${string}`,\n state: 'output-error',\n toolCallId: part.callID,\n input: part.state.input,\n errorText: part.state.error,\n callProviderMetadata: part.metadata,\n });\n }\n if (part.type === 'reasoning') {\n assistantMessage.parts.push({\n type: 'reasoning',\n text: part.text,\n providerMetadata: part.metadata,\n });\n }\n }\n }\n }\n\n return await convertToModelMessages(result);\n }\n\n export const stream = fn(\n Identifier.schema('session'),\n async function* (sessionID) {\n const list = await Array.fromAsync(\n await Storage.list(['message', sessionID])\n );\n for (let i = list.length - 1; i >= 0; i--) {\n yield await get({\n sessionID,\n messageID: list[i][2],\n });\n }\n }\n );\n\n export const parts = fn(Identifier.schema('message'), async (messageID) => {\n const result = [] as MessageV2.Part[];\n for (const item of await Storage.list(['part', messageID])) {\n const read = await Storage.read<MessageV2.Part>(item);\n result.push(read);\n }\n result.sort((a, b) => (a.id > b.id ? 1 : -1));\n return result;\n });\n\n export const get = fn(\n z.object({\n sessionID: Identifier.schema('session'),\n messageID: Identifier.schema('message'),\n }),\n async (input) => {\n return {\n info: await Storage.read<MessageV2.Info>([\n 'message',\n input.sessionID,\n input.messageID,\n ]),\n parts: await parts(input.messageID),\n };\n }\n );\n\n export async function filterCompacted(\n stream: AsyncIterable<MessageV2.WithParts>\n ) {\n const result = [] as MessageV2.WithParts[];\n const completed = new Set<string>();\n for await (const msg of stream) {\n result.push(msg);\n if (\n msg.info.role === 'user' &&\n completed.has(msg.info.id) &&\n msg.parts.some((part) => part.type === 'compaction')\n )\n break;\n if (msg.info.role === 'assistant' && msg.info.summary && msg.info.finish)\n completed.add(msg.info.parentID);\n }\n result.reverse();\n return result;\n }\n\n export function fromError(e: unknown, ctx: { providerID: string }) {\n switch (true) {\n case e instanceof DOMException && e.name === 'AbortError':\n return new MessageV2.AbortedError(\n { message: e.message },\n {\n cause: e,\n }\n ).toObject();\n case e instanceof DOMException && e.name === 'TimeoutError':\n return new MessageV2.TimeoutError(\n { message: e.message, isRetryable: true },\n { cause: e }\n ).toObject();\n case MessageV2.OutputLengthError.isInstance(e):\n return e;\n case LoadAPIKeyError.isInstance(e):\n return new MessageV2.AuthError(\n {\n providerID: ctx.providerID,\n message: e.message,\n },\n { cause: e }\n ).toObject();\n case APICallError.isInstance(e):\n return new MessageV2.APIError(\n {\n message: e.message,\n statusCode: e.statusCode,\n isRetryable: e.isRetryable,\n responseHeaders: e.responseHeaders,\n responseBody: e.responseBody,\n },\n { cause: e }\n ).toObject();\n case e instanceof Error: {\n const message = e.message || e.toString();\n // Detect stream/JSON parse errors from AI SDK and providers\n // AI_JSONParseError has no isRetryable property in the Vercel AI SDK\n // and is never retried by the SDK's built-in retry mechanism.\n // These are typically transient (SSE chunk corruption at gateway level).\n // See: https://github.com/link-assistant/agent/issues/169\n // See: https://github.com/vercel/ai/issues/12595\n const isStreamParseError =\n e.name === 'AI_JSONParseError' ||\n message.includes('AI_JSONParseError') ||\n message.includes('JSON parsing failed') ||\n message.includes('JSON Parse error') ||\n (message.includes('Unexpected token') && message.includes('JSON')) ||\n message.includes('is not valid JSON');\n if (isStreamParseError) {\n // Extract the malformed text if available\n const text = (e as { text?: string }).text;\n return new MessageV2.StreamParseError(\n { message, isRetryable: true, text },\n { cause: e }\n ).toObject();\n }\n // Detect Bun socket connection errors (known Bun issue with 10s idle timeout)\n // See: https://github.com/oven-sh/bun/issues/14439\n const isSocketError =\n message.includes('socket connection was closed') ||\n message.includes('closed unexpectedly');\n if (isSocketError) {\n return new MessageV2.SocketConnectionError(\n { message, isRetryable: true },\n { cause: e }\n ).toObject();\n }\n // Detect timeout errors from various sources\n // See: https://github.com/link-assistant/agent/issues/142\n const isTimeoutError =\n message.includes('The operation timed out') ||\n message.includes('timed out') ||\n e.name === 'TimeoutError';\n if (isTimeoutError) {\n return new MessageV2.TimeoutError(\n { message, isRetryable: true },\n { cause: e }\n ).toObject();\n }\n return new NamedError.Unknown(\n { message: e.toString() },\n { cause: e }\n ).toObject();\n }\n default:\n return new NamedError.Unknown(\n { message: JSON.stringify(e) },\n { cause: e }\n );\n }\n }\n}\n", | |
| "numLines": 907, | |
| "startLine": 1, | |
| "totalLines": 907 | |
| } | |
| } | |
| } | |
| [2026-02-14T11:24:03.958Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01JDbPzXVkKvJL9GxqcGcWiz", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_012xUNgtWriCugniD4bfSm23", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/gh-issue-solver-1771068195706/js/src/session/processor.ts" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 996, | |
| "cache_read_input_tokens": 42896, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 996 | |
| }, | |
| "output_tokens": 3, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "19658411-c09c-4d18-a730-c3601b36129b" | |
| } | |
| [2026-02-14T11:24:03.963Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_012xUNgtWriCugniD4bfSm23", | |
| "type": "tool_result", | |
| "content": " 1→import type { ModelsDev } from '../provider/models';\n 2→import { MessageV2 } from './message-v2';\n 3→import { type StreamTextResult, type Tool as AITool, APICallError } from 'ai';\n 4→import { Log } from '../util/log';\n 5→import { Identifier } from '../id/id';\n 6→import { Session } from '.';\n 7→import { Agent } from '../agent/agent';\n 8→// Permission system removed - no restrictions\n 9→import { Snapshot } from '../snapshot';\n 10→import { SessionSummary } from './summary';\n 11→import { Bus } from '../bus';\n 12→import { SessionRetry } from './retry';\n 13→import { SessionStatus } from './status';\n 14→\n 15→export namespace SessionProcessor {\n 16→ const DOOM_LOOP_THRESHOLD = 3;\n 17→ const log = Log.create({ service: 'session.processor' });\n 18→\n 19→ export type Info = Awaited<ReturnType<typeof create>>;\n 20→ export type Result = Awaited<ReturnType<Info['process']>>;\n 21→\n 22→ export function create(input: {\n 23→ assistantMessage: MessageV2.Assistant;\n 24→ sessionID: string;\n 25→ providerID: string;\n 26→ model: ModelsDev.Model;\n 27→ abort: AbortSignal;\n 28→ }) {\n 29→ const toolcalls: Record<string, MessageV2.ToolPart> = {};\n 30→ let snapshot: string | undefined;\n 31→ let blocked = false;\n 32→ let attempt = 0;\n 33→\n 34→ const result = {\n 35→ get message() {\n 36→ return input.assistantMessage;\n 37→ },\n 38→ partFromToolCall(toolCallID: string) {\n 39→ return toolcalls[toolCallID];\n 40→ },\n 41→ async process(fn: () => StreamTextResult<Record<string, AITool>, never>) {\n 42→ log.info(() => ({ message: 'process' }));\n 43→ while (true) {\n 44→ try {\n 45→ let currentText: MessageV2.TextPart | undefined;\n 46→ let reasoningMap: Record<string, MessageV2.ReasoningPart> = {};\n 47→ const stream = fn();\n 48→\n 49→ for await (const value of stream.fullStream) {\n 50→ input.abort.throwIfAborted();\n 51→ switch (value.type) {\n 52→ case 'start':\n 53→ SessionStatus.set(input.sessionID, { type: 'busy' });\n 54→ break;\n 55→\n 56→ case 'reasoning-start':\n 57→ if (value.id in reasoningMap) {\n 58→ continue;\n 59→ }\n 60→ reasoningMap[value.id] = {\n 61→ id: Identifier.ascending('part'),\n 62→ messageID: input.assistantMessage.id,\n 63→ sessionID: input.assistantMessage.sessionID,\n 64→ type: 'reasoning',\n 65→ text: '',\n 66→ time: {\n 67→ start: Date.now(),\n 68→ },\n 69→ metadata: value.providerMetadata,\n 70→ };\n 71→ break;\n 72→\n 73→ case 'reasoning-delta':\n 74→ if (value.id in reasoningMap) {\n 75→ const part = reasoningMap[value.id];\n 76→ part.text += value.text;\n 77→ if (value.providerMetadata)\n 78→ part.metadata = value.providerMetadata;\n 79→ if (part.text)\n 80→ await Session.updatePart({ part, delta: value.text });\n 81→ }\n 82→ break;\n 83→\n 84→ case 'reasoning-end':\n 85→ if (value.id in reasoningMap) {\n 86→ const part = reasoningMap[value.id];\n 87→ part.text = part.text.trimEnd();\n 88→\n 89→ part.time = {\n 90→ ...part.time,\n 91→ end: Date.now(),\n 92→ };\n 93→ if (value.providerMetadata)\n 94→ part.metadata = value.providerMetadata;\n 95→ await Session.updatePart(part);\n 96→ delete reasoningMap[value.id];\n 97→ }\n 98→ break;\n 99→\n 100→ case 'tool-input-start':\n 101→ const part = await Session.updatePart({\n 102→ id: toolcalls[value.id]?.id ?? Identifier.ascending('part'),\n 103→ messageID: input.assistantMessage.id,\n 104→ sessionID: input.assistantMessage.sessionID,\n 105→ type: 'tool',\n 106→ tool: value.toolName,\n 107→ callID: value.id,\n 108→ state: {\n 109→ status: 'pending',\n 110→ input: {},\n 111→ raw: '',\n 112→ },\n 113→ });\n 114→ toolcalls[value.id] = part as MessageV2.ToolPart;\n 115→ break;\n 116→\n 117→ case 'tool-input-delta':\n 118→ break;\n 119→\n 120→ case 'tool-input-end':\n 121→ break;\n 122→\n 123→ case 'tool-call': {\n 124→ const match = toolcalls[value.toolCallId];\n 125→ if (match) {\n 126→ const part = await Session.updatePart({\n 127→ ...match,\n 128→ tool: value.toolName,\n 129→ state: {\n 130→ status: 'running',\n 131→ input: value.input,\n 132→ time: {\n 133→ start: Date.now(),\n 134→ },\n 135→ },\n 136→ metadata: value.providerMetadata,\n 137→ });\n 138→ toolcalls[value.toolCallId] = part as MessageV2.ToolPart;\n 139→\n 140→ const parts = await MessageV2.parts(\n 141→ input.assistantMessage.id\n 142→ );\n 143→ const lastThree = parts.slice(-DOOM_LOOP_THRESHOLD);\n 144→\n 145→ if (\n 146→ lastThree.length === DOOM_LOOP_THRESHOLD &&\n 147→ lastThree.every(\n 148→ (p) =>\n 149→ p.type === 'tool' &&\n 150→ p.tool === value.toolName &&\n 151→ p.state.status !== 'pending' &&\n 152→ JSON.stringify(p.state.input) ===\n 153→ JSON.stringify(value.input)\n 154→ )\n 155→ ) {\n 156→ // Permission system removed - doom loop detection disabled\n 157→ }\n 158→ }\n 159→ break;\n 160→ }\n 161→ case 'tool-result': {\n 162→ const match = toolcalls[value.toolCallId];\n 163→ if (match && match.state.status === 'running') {\n 164→ await Session.updatePart({\n 165→ ...match,\n 166→ state: {\n 167→ status: 'completed',\n 168→ input: value.input,\n 169→ output: value.output.output,\n 170→ metadata: value.output.metadata,\n 171→ title: value.output.title,\n 172→ time: {\n 173→ start: match.state.time.start,\n 174→ end: Date.now(),\n 175→ },\n 176→ attachments: value.output.attachments,\n 177→ },\n 178→ });\n 179→\n 180→ delete toolcalls[value.toolCallId];\n 181→ }\n 182→ break;\n 183→ }\n 184→\n 185→ case 'tool-error': {\n 186→ const match = toolcalls[value.toolCallId];\n 187→ if (match && match.state.status === 'running') {\n 188→ await Session.updatePart({\n 189→ ...match,\n 190→ state: {\n 191→ status: 'error',\n 192→ input: value.input,\n 193→ error: (value.error as any).toString(),\n 194→ metadata: undefined,\n 195→ time: {\n 196→ start: match.state.time.start,\n 197→ end: Date.now(),\n 198→ },\n 199→ },\n 200→ });\n 201→\n 202→ // Permission system removed\n 203→ delete toolcalls[value.toolCallId];\n 204→ }\n 205→ break;\n 206→ }\n 207→ case 'error':\n 208→ throw value.error;\n 209→\n 210→ case 'start-step':\n 211→ snapshot = await Snapshot.track();\n 212→ await Session.updatePart({\n 213→ id: Identifier.ascending('part'),\n 214→ messageID: input.assistantMessage.id,\n 215→ sessionID: input.sessionID,\n 216→ snapshot,\n 217→ type: 'step-start',\n 218→ });\n 219→ break;\n 220→\n 221→ case 'finish-step':\n 222→ // Safely handle missing or undefined usage data\n 223→ // Some providers (e.g., OpenCode with Kimi K2.5) may return incomplete usage\n 224→ // See: https://github.com/link-assistant/agent/issues/152\n 225→ const safeUsage = value.usage ?? {\n 226→ inputTokens: 0,\n 227→ outputTokens: 0,\n 228→ totalTokens: 0,\n 229→ };\n 230→ const usage = Session.getUsage({\n 231→ model: input.model,\n 232→ usage: safeUsage,\n 233→ metadata: value.providerMetadata,\n 234→ });\n 235→ // Use toFinishReason to safely convert object/string finishReason to string\n 236→ // See: https://github.com/link-assistant/agent/issues/125\n 237→ const finishReason = Session.toFinishReason(\n 238→ value.finishReason\n 239→ );\n 240→ input.assistantMessage.finish = finishReason;\n 241→ input.assistantMessage.cost += usage.cost;\n 242→ input.assistantMessage.tokens = usage.tokens;\n 243→ await Session.updatePart({\n 244→ id: Identifier.ascending('part'),\n 245→ reason: finishReason,\n 246→ snapshot: await Snapshot.track(),\n 247→ messageID: input.assistantMessage.id,\n 248→ sessionID: input.assistantMessage.sessionID,\n 249→ type: 'step-finish',\n 250→ tokens: usage.tokens,\n 251→ cost: usage.cost,\n 252→ });\n 253→ await Session.updateMessage(input.assistantMessage);\n 254→ if (snapshot) {\n 255→ const patch = await Snapshot.patch(snapshot);\n 256→ if (patch.files.length) {\n 257→ await Session.updatePart({\n 258→ id: Identifier.ascending('part'),\n 259→ messageID: input.assistantMessage.id,\n 260→ sessionID: input.sessionID,\n 261→ type: 'patch',\n 262→ hash: patch.hash,\n 263→ files: patch.files,\n 264→ });\n 265→ }\n 266→ snapshot = undefined;\n 267→ }\n 268→ SessionSummary.summarize({\n 269→ sessionID: input.sessionID,\n 270→ messageID: input.assistantMessage.parentID,\n 271→ });\n 272→ break;\n 273→\n 274→ case 'text-start':\n 275→ currentText = {\n 276→ id: Identifier.ascending('part'),\n 277→ messageID: input.assistantMessage.id,\n 278→ sessionID: input.assistantMessage.sessionID,\n 279→ type: 'text',\n 280→ text: '',\n 281→ time: {\n 282→ start: Date.now(),\n 283→ },\n 284→ metadata: value.providerMetadata,\n 285→ };\n 286→ break;\n 287→\n 288→ case 'text-delta':\n 289→ if (currentText) {\n 290→ // Handle case where value.text might be an object instead of string\n 291→ // See: https://github.com/link-assistant/agent/issues/125\n 292→ const textDelta =\n 293→ typeof value.text === 'string'\n 294→ ? value.text\n 295→ : String(value.text);\n 296→ currentText.text += textDelta;\n 297→ if (value.providerMetadata)\n 298→ currentText.metadata = value.providerMetadata;\n 299→ if (currentText.text)\n 300→ await Session.updatePart({\n 301→ part: currentText,\n 302→ delta: textDelta,\n 303→ });\n 304→ }\n 305→ break;\n 306→\n 307→ case 'text-end':\n 308→ if (currentText) {\n 309→ currentText.text = currentText.text.trimEnd();\n 310→ currentText.time = {\n 311→ start: Date.now(),\n 312→ end: Date.now(),\n 313→ };\n 314→ if (value.providerMetadata)\n 315→ currentText.metadata = value.providerMetadata;\n 316→ await Session.updatePart(currentText);\n 317→ }\n 318→ currentText = undefined;\n 319→ break;\n 320→\n 321→ case 'finish':\n 322→ input.assistantMessage.time.completed = Date.now();\n 323→ await Session.updateMessage(input.assistantMessage);\n 324→ // Clear retry state on successful completion\n 325→ SessionRetry.clearRetryState(input.sessionID);\n 326→ break;\n 327→\n 328→ default:\n 329→ log.info(() => ({ message: 'unhandled', ...value }));\n 330→ continue;\n 331→ }\n 332→ }\n 333→ } catch (e) {\n 334→ log.error(() => ({ message: 'process', error: e }));\n 335→\n 336→ // Check for AI SDK usage-related TypeError (input_tokens undefined)\n 337→ // This happens when providers return incomplete usage data\n 338→ // See: https://github.com/link-assistant/agent/issues/152\n 339→ if (\n 340→ e instanceof TypeError &&\n 341→ (e.message.includes('input_tokens') ||\n 342→ e.message.includes('output_tokens') ||\n 343→ e.message.includes(\"reading 'input_tokens'\") ||\n 344→ e.message.includes(\"reading 'output_tokens'\"))\n 345→ ) {\n 346→ log.warn(() => ({\n 347→ message:\n 348→ 'Provider returned invalid usage data, continuing with zero usage',\n 349→ errorMessage: e.message,\n 350→ providerID: input.providerID,\n 351→ }));\n 352→ // Set default token values to prevent crash\n 353→ input.assistantMessage.tokens = {\n 354→ input: 0,\n 355→ output: 0,\n 356→ reasoning: 0,\n 357→ cache: { read: 0, write: 0 },\n 358→ };\n 359→ // Continue processing instead of failing\n 360→ continue;\n 361→ }\n 362→\n 363→ const error = MessageV2.fromError(e, {\n 364→ providerID: input.providerID,\n 365→ });\n 366→\n 367→ // Check if error is retryable (APIError, SocketConnectionError, TimeoutError, or StreamParseError)\n 368→ const isRetryableAPIError =\n 369→ error?.name === 'APIError' && error.data.isRetryable;\n 370→ const isRetryableSocketError =\n 371→ error?.name === 'SocketConnectionError' &&\n 372→ error.data.isRetryable &&\n 373→ attempt < SessionRetry.SOCKET_ERROR_MAX_RETRIES;\n 374→ const isRetryableTimeoutError =\n 375→ error?.name === 'TimeoutError' &&\n 376→ error.data.isRetryable &&\n 377→ attempt < SessionRetry.TIMEOUT_MAX_RETRIES;\n 378→ // Stream parse errors are transient (malformed SSE from gateway/provider)\n 379→ // AI_JSONParseError from Vercel AI SDK has no isRetryable property\n 380→ // and is never retried by the SDK's built-in mechanism.\n 381→ // We classify it as StreamParseError and retry with exponential backoff.\n 382→ // See: https://github.com/link-assistant/agent/issues/169\n 383→ // See: https://github.com/vercel/ai/issues/12595\n 384→ const isRetryableStreamParseError =\n 385→ error?.name === 'StreamParseError' &&\n 386→ error.data.isRetryable &&\n 387→ attempt < SessionRetry.STREAM_PARSE_ERROR_MAX_RETRIES;\n 388→\n 389→ // For API errors (rate limits), check if we're within the retry timeout\n 390→ // See: https://github.com/link-assistant/agent/issues/157\n 391→ const retryCheck = isRetryableAPIError\n 392→ ? SessionRetry.shouldRetry(\n 393→ input.sessionID,\n 394→ error.data.statusCode?.toString() ?? 'unknown'\n 395→ )\n 396→ : { shouldRetry: true, elapsedTime: 0, maxTime: 0 };\n 397→\n 398→ if (\n 399→ (isRetryableAPIError && retryCheck.shouldRetry) ||\n 400→ isRetryableSocketError ||\n 401→ isRetryableTimeoutError ||\n 402→ isRetryableStreamParseError\n 403→ ) {\n 404→ attempt++;\n 405→ // Use error-specific delay calculation\n 406→ // SessionRetry.delay may throw RetryTimeoutExceededError if retry-after exceeds timeout\n 407→ let delay: number;\n 408→ try {\n 409→ delay =\n 410→ error?.name === 'SocketConnectionError'\n 411→ ? SessionRetry.socketErrorDelay(attempt)\n 412→ : error?.name === 'TimeoutError'\n 413→ ? SessionRetry.timeoutDelay(attempt)\n 414→ : error?.name === 'StreamParseError'\n 415→ ? SessionRetry.streamParseErrorDelay(attempt)\n 416→ : SessionRetry.delay(error, attempt);\n 417→ } catch (delayError) {\n 418→ // If retry-after exceeds AGENT_RETRY_TIMEOUT, fail immediately\n 419→ if (\n 420→ delayError instanceof SessionRetry.RetryTimeoutExceededError\n 421→ ) {\n 422→ log.error(() => ({\n 423→ message: 'retry-after exceeds timeout, failing immediately',\n 424→ retryAfterMs: delayError.retryAfterMs,\n 425→ maxTimeoutMs: delayError.maxTimeoutMs,\n 426→ }));\n 427→ SessionRetry.clearRetryState(input.sessionID);\n 428→ // Create a specific error for this case\n 429→ input.assistantMessage.error = {\n 430→ name: 'RetryTimeoutExceededError',\n 431→ data: {\n 432→ message: delayError.message,\n 433→ isRetryable: false,\n 434→ retryAfterMs: delayError.retryAfterMs,\n 435→ maxTimeoutMs: delayError.maxTimeoutMs,\n 436→ },\n 437→ } as MessageV2.Error;\n 438→ Bus.publish(Session.Event.Error, {\n 439→ sessionID: input.assistantMessage.sessionID,\n 440→ error: input.assistantMessage.error,\n 441→ });\n 442→ break;\n 443→ }\n 444→ throw delayError;\n 445→ }\n 446→ log.info(() => ({\n 447→ message: 'retrying',\n 448→ errorType: error?.name,\n 449→ attempt,\n 450→ delay,\n 451→ elapsedRetryTime: retryCheck.elapsedTime,\n 452→ maxRetryTime: retryCheck.maxTime,\n 453→ }));\n 454→ SessionStatus.set(input.sessionID, {\n 455→ type: 'retry',\n 456→ attempt,\n 457→ message: error.data.message,\n 458→ next: Date.now() + delay,\n 459→ });\n 460→ // Update retry state to track total time\n 461→ SessionRetry.updateRetryState(input.sessionID, delay);\n 462→ await SessionRetry.sleep(delay, input.abort).catch(() => {});\n 463→ continue;\n 464→ }\n 465→\n 466→ // Clear retry state on non-retryable error\n 467→ SessionRetry.clearRetryState(input.sessionID);\n 468→ input.assistantMessage.error = error;\n 469→ Bus.publish(Session.Event.Error, {\n 470→ sessionID: input.assistantMessage.sessionID,\n 471→ error: input.assistantMessage.error,\n 472→ });\n 473→ }\n 474→ const p = await MessageV2.parts(input.assistantMessage.id);\n 475→ for (const part of p) {\n 476→ if (\n 477→ part.type === 'tool' &&\n 478→ part.state.status !== 'completed' &&\n 479→ part.state.status !== 'error'\n 480→ ) {\n 481→ await Session.updatePart({\n 482→ ...part,\n 483→ state: {\n 484→ ...part.state,\n 485→ status: 'error',\n 486→ error: 'Tool execution aborted',\n 487→ time: {\n 488→ start: Date.now(),\n 489→ end: Date.now(),\n 490→ },\n 491→ },\n 492→ });\n 493→ }\n 494→ }\n 495→ input.assistantMessage.time.completed = Date.now();\n 496→ await Session.updateMessage(input.assistantMessage);\n 497→ if (blocked) return 'stop';\n 498→ if (input.assistantMessage.error) return 'stop';\n 499→ return 'continue';\n 500→ }\n 501→ },\n 502→ };\n 503→ return result;\n 504→ }\n 505→}\n 506→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "46da9f87-c16f-46b6-ad3d-4574827c36e2", | |
| "tool_use_result": { | |
| "type": "text", | |
| "file": { | |
| "filePath": "/tmp/gh-issue-solver-1771068195706/js/src/session/processor.ts", | |
| "content": "import type { ModelsDev } from '../provider/models';\nimport { MessageV2 } from './message-v2';\nimport { type StreamTextResult, type Tool as AITool, APICallError } from 'ai';\nimport { Log } from '../util/log';\nimport { Identifier } from '../id/id';\nimport { Session } from '.';\nimport { Agent } from '../agent/agent';\n// Permission system removed - no restrictions\nimport { Snapshot } from '../snapshot';\nimport { SessionSummary } from './summary';\nimport { Bus } from '../bus';\nimport { SessionRetry } from './retry';\nimport { SessionStatus } from './status';\n\nexport namespace SessionProcessor {\n const DOOM_LOOP_THRESHOLD = 3;\n const log = Log.create({ service: 'session.processor' });\n\n export type Info = Awaited<ReturnType<typeof create>>;\n export type Result = Awaited<ReturnType<Info['process']>>;\n\n export function create(input: {\n assistantMessage: MessageV2.Assistant;\n sessionID: string;\n providerID: string;\n model: ModelsDev.Model;\n abort: AbortSignal;\n }) {\n const toolcalls: Record<string, MessageV2.ToolPart> = {};\n let snapshot: string | undefined;\n let blocked = false;\n let attempt = 0;\n\n const result = {\n get message() {\n return input.assistantMessage;\n },\n partFromToolCall(toolCallID: string) {\n return toolcalls[toolCallID];\n },\n async process(fn: () => StreamTextResult<Record<string, AITool>, never>) {\n log.info(() => ({ message: 'process' }));\n while (true) {\n try {\n let currentText: MessageV2.TextPart | undefined;\n let reasoningMap: Record<string, MessageV2.ReasoningPart> = {};\n const stream = fn();\n\n for await (const value of stream.fullStream) {\n input.abort.throwIfAborted();\n switch (value.type) {\n case 'start':\n SessionStatus.set(input.sessionID, { type: 'busy' });\n break;\n\n case 'reasoning-start':\n if (value.id in reasoningMap) {\n continue;\n }\n reasoningMap[value.id] = {\n id: Identifier.ascending('part'),\n messageID: input.assistantMessage.id,\n sessionID: input.assistantMessage.sessionID,\n type: 'reasoning',\n text: '',\n time: {\n start: Date.now(),\n },\n metadata: value.providerMetadata,\n };\n break;\n\n case 'reasoning-delta':\n if (value.id in reasoningMap) {\n const part = reasoningMap[value.id];\n part.text += value.text;\n if (value.providerMetadata)\n part.metadata = value.providerMetadata;\n if (part.text)\n await Session.updatePart({ part, delta: value.text });\n }\n break;\n\n case 'reasoning-end':\n if (value.id in reasoningMap) {\n const part = reasoningMap[value.id];\n part.text = part.text.trimEnd();\n\n part.time = {\n ...part.time,\n end: Date.now(),\n };\n if (value.providerMetadata)\n part.metadata = value.providerMetadata;\n await Session.updatePart(part);\n delete reasoningMap[value.id];\n }\n break;\n\n case 'tool-input-start':\n const part = await Session.updatePart({\n id: toolcalls[value.id]?.id ?? Identifier.ascending('part'),\n messageID: input.assistantMessage.id,\n sessionID: input.assistantMessage.sessionID,\n type: 'tool',\n tool: value.toolName,\n callID: value.id,\n state: {\n status: 'pending',\n input: {},\n raw: '',\n },\n });\n toolcalls[value.id] = part as MessageV2.ToolPart;\n break;\n\n case 'tool-input-delta':\n break;\n\n case 'tool-input-end':\n break;\n\n case 'tool-call': {\n const match = toolcalls[value.toolCallId];\n if (match) {\n const part = await Session.updatePart({\n ...match,\n tool: value.toolName,\n state: {\n status: 'running',\n input: value.input,\n time: {\n start: Date.now(),\n },\n },\n metadata: value.providerMetadata,\n });\n toolcalls[value.toolCallId] = part as MessageV2.ToolPart;\n\n const parts = await MessageV2.parts(\n input.assistantMessage.id\n );\n const lastThree = parts.slice(-DOOM_LOOP_THRESHOLD);\n\n if (\n lastThree.length === DOOM_LOOP_THRESHOLD &&\n lastThree.every(\n (p) =>\n p.type === 'tool' &&\n p.tool === value.toolName &&\n p.state.status !== 'pending' &&\n JSON.stringify(p.state.input) ===\n JSON.stringify(value.input)\n )\n ) {\n // Permission system removed - doom loop detection disabled\n }\n }\n break;\n }\n case 'tool-result': {\n const match = toolcalls[value.toolCallId];\n if (match && match.state.status === 'running') {\n await Session.updatePart({\n ...match,\n state: {\n status: 'completed',\n input: value.input,\n output: value.output.output,\n metadata: value.output.metadata,\n title: value.output.title,\n time: {\n start: match.state.time.start,\n end: Date.now(),\n },\n attachments: value.output.attachments,\n },\n });\n\n delete toolcalls[value.toolCallId];\n }\n break;\n }\n\n case 'tool-error': {\n const match = toolcalls[value.toolCallId];\n if (match && match.state.status === 'running') {\n await Session.updatePart({\n ...match,\n state: {\n status: 'error',\n input: value.input,\n error: (value.error as any).toString(),\n metadata: undefined,\n time: {\n start: match.state.time.start,\n end: Date.now(),\n },\n },\n });\n\n // Permission system removed\n delete toolcalls[value.toolCallId];\n }\n break;\n }\n case 'error':\n throw value.error;\n\n case 'start-step':\n snapshot = await Snapshot.track();\n await Session.updatePart({\n id: Identifier.ascending('part'),\n messageID: input.assistantMessage.id,\n sessionID: input.sessionID,\n snapshot,\n type: 'step-start',\n });\n break;\n\n case 'finish-step':\n // Safely handle missing or undefined usage data\n // Some providers (e.g., OpenCode with Kimi K2.5) may return incomplete usage\n // See: https://github.com/link-assistant/agent/issues/152\n const safeUsage = value.usage ?? {\n inputTokens: 0,\n outputTokens: 0,\n totalTokens: 0,\n };\n const usage = Session.getUsage({\n model: input.model,\n usage: safeUsage,\n metadata: value.providerMetadata,\n });\n // Use toFinishReason to safely convert object/string finishReason to string\n // See: https://github.com/link-assistant/agent/issues/125\n const finishReason = Session.toFinishReason(\n value.finishReason\n );\n input.assistantMessage.finish = finishReason;\n input.assistantMessage.cost += usage.cost;\n input.assistantMessage.tokens = usage.tokens;\n await Session.updatePart({\n id: Identifier.ascending('part'),\n reason: finishReason,\n snapshot: await Snapshot.track(),\n messageID: input.assistantMessage.id,\n sessionID: input.assistantMessage.sessionID,\n type: 'step-finish',\n tokens: usage.tokens,\n cost: usage.cost,\n });\n await Session.updateMessage(input.assistantMessage);\n if (snapshot) {\n const patch = await Snapshot.patch(snapshot);\n if (patch.files.length) {\n await Session.updatePart({\n id: Identifier.ascending('part'),\n messageID: input.assistantMessage.id,\n sessionID: input.sessionID,\n type: 'patch',\n hash: patch.hash,\n files: patch.files,\n });\n }\n snapshot = undefined;\n }\n SessionSummary.summarize({\n sessionID: input.sessionID,\n messageID: input.assistantMessage.parentID,\n });\n break;\n\n case 'text-start':\n currentText = {\n id: Identifier.ascending('part'),\n messageID: input.assistantMessage.id,\n sessionID: input.assistantMessage.sessionID,\n type: 'text',\n text: '',\n time: {\n start: Date.now(),\n },\n metadata: value.providerMetadata,\n };\n break;\n\n case 'text-delta':\n if (currentText) {\n // Handle case where value.text might be an object instead of string\n // See: https://github.com/link-assistant/agent/issues/125\n const textDelta =\n typeof value.text === 'string'\n ? value.text\n : String(value.text);\n currentText.text += textDelta;\n if (value.providerMetadata)\n currentText.metadata = value.providerMetadata;\n if (currentText.text)\n await Session.updatePart({\n part: currentText,\n delta: textDelta,\n });\n }\n break;\n\n case 'text-end':\n if (currentText) {\n currentText.text = currentText.text.trimEnd();\n currentText.time = {\n start: Date.now(),\n end: Date.now(),\n };\n if (value.providerMetadata)\n currentText.metadata = value.providerMetadata;\n await Session.updatePart(currentText);\n }\n currentText = undefined;\n break;\n\n case 'finish':\n input.assistantMessage.time.completed = Date.now();\n await Session.updateMessage(input.assistantMessage);\n // Clear retry state on successful completion\n SessionRetry.clearRetryState(input.sessionID);\n break;\n\n default:\n log.info(() => ({ message: 'unhandled', ...value }));\n continue;\n }\n }\n } catch (e) {\n log.error(() => ({ message: 'process', error: e }));\n\n // Check for AI SDK usage-related TypeError (input_tokens undefined)\n // This happens when providers return incomplete usage data\n // See: https://github.com/link-assistant/agent/issues/152\n if (\n e instanceof TypeError &&\n (e.message.includes('input_tokens') ||\n e.message.includes('output_tokens') ||\n e.message.includes(\"reading 'input_tokens'\") ||\n e.message.includes(\"reading 'output_tokens'\"))\n ) {\n log.warn(() => ({\n message:\n 'Provider returned invalid usage data, continuing with zero usage',\n errorMessage: e.message,\n providerID: input.providerID,\n }));\n // Set default token values to prevent crash\n input.assistantMessage.tokens = {\n input: 0,\n output: 0,\n reasoning: 0,\n cache: { read: 0, write: 0 },\n };\n // Continue processing instead of failing\n continue;\n }\n\n const error = MessageV2.fromError(e, {\n providerID: input.providerID,\n });\n\n // Check if error is retryable (APIError, SocketConnectionError, TimeoutError, or StreamParseError)\n const isRetryableAPIError =\n error?.name === 'APIError' && error.data.isRetryable;\n const isRetryableSocketError =\n error?.name === 'SocketConnectionError' &&\n error.data.isRetryable &&\n attempt < SessionRetry.SOCKET_ERROR_MAX_RETRIES;\n const isRetryableTimeoutError =\n error?.name === 'TimeoutError' &&\n error.data.isRetryable &&\n attempt < SessionRetry.TIMEOUT_MAX_RETRIES;\n // Stream parse errors are transient (malformed SSE from gateway/provider)\n // AI_JSONParseError from Vercel AI SDK has no isRetryable property\n // and is never retried by the SDK's built-in mechanism.\n // We classify it as StreamParseError and retry with exponential backoff.\n // See: https://github.com/link-assistant/agent/issues/169\n // See: https://github.com/vercel/ai/issues/12595\n const isRetryableStreamParseError =\n error?.name === 'StreamParseError' &&\n error.data.isRetryable &&\n attempt < SessionRetry.STREAM_PARSE_ERROR_MAX_RETRIES;\n\n // For API errors (rate limits), check if we're within the retry timeout\n // See: https://github.com/link-assistant/agent/issues/157\n const retryCheck = isRetryableAPIError\n ? SessionRetry.shouldRetry(\n input.sessionID,\n error.data.statusCode?.toString() ?? 'unknown'\n )\n : { shouldRetry: true, elapsedTime: 0, maxTime: 0 };\n\n if (\n (isRetryableAPIError && retryCheck.shouldRetry) ||\n isRetryableSocketError ||\n isRetryableTimeoutError ||\n isRetryableStreamParseError\n ) {\n attempt++;\n // Use error-specific delay calculation\n // SessionRetry.delay may throw RetryTimeoutExceededError if retry-after exceeds timeout\n let delay: number;\n try {\n delay =\n error?.name === 'SocketConnectionError'\n ? SessionRetry.socketErrorDelay(attempt)\n : error?.name === 'TimeoutError'\n ? SessionRetry.timeoutDelay(attempt)\n : error?.name === 'StreamParseError'\n ? SessionRetry.streamParseErrorDelay(attempt)\n : SessionRetry.delay(error, attempt);\n } catch (delayError) {\n // If retry-after exceeds AGENT_RETRY_TIMEOUT, fail immediately\n if (\n delayError instanceof SessionRetry.RetryTimeoutExceededError\n ) {\n log.error(() => ({\n message: 'retry-after exceeds timeout, failing immediately',\n retryAfterMs: delayError.retryAfterMs,\n maxTimeoutMs: delayError.maxTimeoutMs,\n }));\n SessionRetry.clearRetryState(input.sessionID);\n // Create a specific error for this case\n input.assistantMessage.error = {\n name: 'RetryTimeoutExceededError',\n data: {\n message: delayError.message,\n isRetryable: false,\n retryAfterMs: delayError.retryAfterMs,\n maxTimeoutMs: delayError.maxTimeoutMs,\n },\n } as MessageV2.Error;\n Bus.publish(Session.Event.Error, {\n sessionID: input.assistantMessage.sessionID,\n error: input.assistantMessage.error,\n });\n break;\n }\n throw delayError;\n }\n log.info(() => ({\n message: 'retrying',\n errorType: error?.name,\n attempt,\n delay,\n elapsedRetryTime: retryCheck.elapsedTime,\n maxRetryTime: retryCheck.maxTime,\n }));\n SessionStatus.set(input.sessionID, {\n type: 'retry',\n attempt,\n message: error.data.message,\n next: Date.now() + delay,\n });\n // Update retry state to track total time\n SessionRetry.updateRetryState(input.sessionID, delay);\n await SessionRetry.sleep(delay, input.abort).catch(() => {});\n continue;\n }\n\n // Clear retry state on non-retryable error\n SessionRetry.clearRetryState(input.sessionID);\n input.assistantMessage.error = error;\n Bus.publish(Session.Event.Error, {\n sessionID: input.assistantMessage.sessionID,\n error: input.assistantMessage.error,\n });\n }\n const p = await MessageV2.parts(input.assistantMessage.id);\n for (const part of p) {\n if (\n part.type === 'tool' &&\n part.state.status !== 'completed' &&\n part.state.status !== 'error'\n ) {\n await Session.updatePart({\n ...part,\n state: {\n ...part.state,\n status: 'error',\n error: 'Tool execution aborted',\n time: {\n start: Date.now(),\n end: Date.now(),\n },\n },\n });\n }\n }\n input.assistantMessage.time.completed = Date.now();\n await Session.updateMessage(input.assistantMessage);\n if (blocked) return 'stop';\n if (input.assistantMessage.error) return 'stop';\n return 'continue';\n }\n },\n };\n return result;\n }\n}\n", | |
| "numLines": 506, | |
| "startLine": 1, | |
| "totalLines": 506 | |
| } | |
| } | |
| } | |
| [2026-02-14T11:24:04.353Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01JDbPzXVkKvJL9GxqcGcWiz", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01M8EJuLcrVyHVoTqZnPdsgF", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/gh-issue-solver-1771068195706/js/src/session/retry.ts" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 996, | |
| "cache_read_input_tokens": 42896, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 996 | |
| }, | |
| "output_tokens": 3, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "379bbd67-c240-4667-b289-0dd30822fd30" | |
| } | |
| [2026-02-14T11:24:04.356Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01M8EJuLcrVyHVoTqZnPdsgF", | |
| "type": "tool_result", | |
| "content": " 1→import { MessageV2 } from './message-v2';\n 2→import { Flag } from '../flag/flag';\n 3→import { Log } from '../util/log';\n 4→\n 5→export namespace SessionRetry {\n 6→ const log = Log.create({ service: 'session.retry' });\n 7→\n 8→ export const RETRY_INITIAL_DELAY = 2000;\n 9→ export const RETRY_BACKOFF_FACTOR = 2;\n 10→ export const RETRY_MAX_DELAY_NO_HEADERS = 30_000; // 30 seconds\n 11→\n 12→ // Maximum delay for a single retry attempt when NO retry-after header (default: 20 minutes)\n 13→ // This caps exponential backoff when headers are not available\n 14→ // Can be configured via AGENT_MAX_RETRY_DELAY env var\n 15→ export function getMaxRetryDelay(): number {\n 16→ return Flag.MAX_RETRY_DELAY();\n 17→ }\n 18→\n 19→ // Get retry timeout in milliseconds\n 20→ export function getRetryTimeout(): number {\n 21→ return Flag.RETRY_TIMEOUT() * 1000;\n 22→ }\n 23→\n 24→ /**\n 25→ * Error thrown when retry-after exceeds AGENT_RETRY_TIMEOUT\n 26→ * This indicates the wait time is too long and we should fail immediately\n 27→ */\n 28→ export class RetryTimeoutExceededError extends Error {\n 29→ public readonly retryAfterMs: number;\n 30→ public readonly maxTimeoutMs: number;\n 31→\n 32→ constructor(retryAfterMs: number, maxTimeoutMs: number) {\n 33→ const retryAfterHours = (retryAfterMs / 1000 / 3600).toFixed(2);\n 34→ const maxTimeoutHours = (maxTimeoutMs / 1000 / 3600).toFixed(2);\n 35→ super(\n 36→ `API returned retry-after of ${retryAfterHours} hours, which exceeds the maximum retry timeout of ${maxTimeoutHours} hours. ` +\n 37→ `Failing immediately instead of waiting. You can adjust AGENT_RETRY_TIMEOUT env var to increase the limit.`\n 38→ );\n 39→ this.name = 'RetryTimeoutExceededError';\n 40→ this.retryAfterMs = retryAfterMs;\n 41→ this.maxTimeoutMs = maxTimeoutMs;\n 42→ }\n 43→ }\n 44→\n 45→ // Socket connection error retry configuration\n 46→ // Bun's fetch() has a known 10-second idle timeout issue\n 47→ // See: https://github.com/oven-sh/bun/issues/14439\n 48→ export const SOCKET_ERROR_MAX_RETRIES = 3;\n 49→ export const SOCKET_ERROR_INITIAL_DELAY = 1000; // 1 second\n 50→ export const SOCKET_ERROR_BACKOFF_FACTOR = 2;\n 51→\n 52→ // Timeout error retry configuration\n 53→ // When API requests time out (AbortSignal.timeout), retry with increasing intervals\n 54→ // See: https://github.com/link-assistant/agent/issues/142\n 55→ export const TIMEOUT_MAX_RETRIES = 3;\n 56→ export const TIMEOUT_DELAYS = [30_000, 60_000, 120_000]; // 30s, 60s, 120s\n 57→\n 58→ // Stream parse error retry configuration\n 59→ // When SSE streams return malformed JSON (AI_JSONParseError), retry with exponential backoff\n 60→ // These are typically transient issues with AI gateways (e.g. Kilo AI Gateway)\n 61→ // corrupting SSE chunks when proxying provider responses (e.g. Kimi K2.5, GLM-4.7)\n 62→ // See: https://github.com/link-assistant/agent/issues/169\n 63→ // See: https://github.com/vercel/ai/issues/12595\n 64→ export const STREAM_PARSE_ERROR_MAX_RETRIES = 3;\n 65→ export const STREAM_PARSE_ERROR_INITIAL_DELAY = 1000; // 1 second\n 66→ export const STREAM_PARSE_ERROR_BACKOFF_FACTOR = 2;\n 67→\n 68→ // Rate limit retry state tracking\n 69→ // Tracks total time spent retrying for each error type\n 70→ // See: https://github.com/link-assistant/agent/issues/157\n 71→ interface RetryState {\n 72→ errorType: string;\n 73→ startTime: number;\n 74→ totalRetryTime: number;\n 75→ }\n 76→\n 77→ const retryStates: Map<string, RetryState> = new Map();\n 78→\n 79→ /**\n 80→ * Check if we should continue retrying for a given session and error type.\n 81→ * Returns true if within retry timeout, false if exceeded.\n 82→ * The timeout resets when the error type changes.\n 83→ */\n 84→ export function shouldRetry(\n 85→ sessionID: string,\n 86→ errorType: string\n 87→ ): { shouldRetry: boolean; elapsedTime: number; maxTime: number } {\n 88→ const maxTime = Flag.RETRY_TIMEOUT() * 1000; // Convert to ms\n 89→ const state = retryStates.get(sessionID);\n 90→\n 91→ if (!state || state.errorType !== errorType) {\n 92→ // New error type or first error - reset state\n 93→ retryStates.set(sessionID, {\n 94→ errorType,\n 95→ startTime: Date.now(),\n 96→ totalRetryTime: 0,\n 97→ });\n 98→ return { shouldRetry: true, elapsedTime: 0, maxTime };\n 99→ }\n 100→\n 101→ const elapsedTime = Date.now() - state.startTime;\n 102→ if (elapsedTime >= maxTime) {\n 103→ log.info(() => ({\n 104→ message: 'retry timeout exceeded',\n 105→ sessionID,\n 106→ errorType,\n 107→ elapsedTime,\n 108→ maxTime,\n 109→ }));\n 110→ return { shouldRetry: false, elapsedTime, maxTime };\n 111→ }\n 112→\n 113→ return { shouldRetry: true, elapsedTime, maxTime };\n 114→ }\n 115→\n 116→ /**\n 117→ * Update retry state after a retry attempt.\n 118→ */\n 119→ export function updateRetryState(sessionID: string, delayMs: number): void {\n 120→ const state = retryStates.get(sessionID);\n 121→ if (state) {\n 122→ state.totalRetryTime += delayMs;\n 123→ }\n 124→ }\n 125→\n 126→ /**\n 127→ * Clear retry state for a session (e.g., on success).\n 128→ */\n 129→ export function clearRetryState(sessionID: string): void {\n 130→ retryStates.delete(sessionID);\n 131→ }\n 132→\n 133→ export async function sleep(ms: number, signal: AbortSignal): Promise<void> {\n 134→ return new Promise((resolve, reject) => {\n 135→ const timeout = setTimeout(resolve, ms);\n 136→ signal.addEventListener(\n 137→ 'abort',\n 138→ () => {\n 139→ clearTimeout(timeout);\n 140→ reject(new DOMException('Aborted', 'AbortError'));\n 141→ },\n 142→ { once: true }\n 143→ );\n 144→ });\n 145→ }\n 146→\n 147→ /**\n 148→ * Add jitter to a delay value to prevent thundering herd.\n 149→ * Adds 0-10% random variation to the delay.\n 150→ */\n 151→ function addJitter(delay: number): number {\n 152→ const jitter = Math.random() * 0.1 * delay;\n 153→ return Math.round(delay + jitter);\n 154→ }\n 155→\n 156→ /**\n 157→ * Parse retry-after value from headers and return delay in milliseconds.\n 158→ * Returns null if no valid retry-after header is found.\n 159→ */\n 160→ function parseRetryAfterHeader(\n 161→ headers: Record<string, string>\n 162→ ): number | null {\n 163→ // Check for retry-after-ms header first (milliseconds)\n 164→ const retryAfterMs = headers['retry-after-ms'];\n 165→ if (retryAfterMs) {\n 166→ const parsedMs = Number.parseFloat(retryAfterMs);\n 167→ if (!Number.isNaN(parsedMs) && parsedMs > 0) {\n 168→ log.info(() => ({\n 169→ message: 'parsed retry-after-ms header',\n 170→ headerValue: parsedMs,\n 171→ }));\n 172→ return parsedMs;\n 173→ }\n 174→ }\n 175→\n 176→ // Check for retry-after header (seconds or HTTP date)\n 177→ const retryAfter = headers['retry-after'];\n 178→ if (retryAfter) {\n 179→ const parsedSeconds = Number.parseFloat(retryAfter);\n 180→ if (!Number.isNaN(parsedSeconds) && parsedSeconds > 0) {\n 181→ const delayMs = Math.ceil(parsedSeconds * 1000);\n 182→ log.info(() => ({\n 183→ message: 'parsed retry-after header (seconds)',\n 184→ headerValue: parsedSeconds,\n 185→ delayMs,\n 186→ }));\n 187→ return delayMs;\n 188→ }\n 189→ // Try parsing as HTTP date format\n 190→ const parsed = Date.parse(retryAfter) - Date.now();\n 191→ if (!Number.isNaN(parsed) && parsed > 0) {\n 192→ log.info(() => ({\n 193→ message: 'parsed retry-after header (date)',\n 194→ headerValue: retryAfter,\n 195→ delayMs: parsed,\n 196→ }));\n 197→ return Math.ceil(parsed);\n 198→ }\n 199→ }\n 200→\n 201→ return null;\n 202→ }\n 203→\n 204→ /**\n 205→ * Calculate retry delay based on error response headers and attempt number.\n 206→ *\n 207→ * RETRY LOGIC (per issue #157 requirements):\n 208→ * 1. If retry-after header is available:\n 209→ * - If retry-after <= AGENT_RETRY_TIMEOUT: use it directly (exact time)\n 210→ * - If retry-after > AGENT_RETRY_TIMEOUT: throw RetryTimeoutExceededError (fail immediately)\n 211→ * 2. If no retry-after header:\n 212→ * - Use exponential backoff up to AGENT_MAX_RETRY_DELAY\n 213→ *\n 214→ * Adds jitter to prevent thundering herd when multiple requests retry.\n 215→ * See: https://github.com/link-assistant/agent/issues/157\n 216→ *\n 217→ * @throws {RetryTimeoutExceededError} When retry-after exceeds AGENT_RETRY_TIMEOUT\n 218→ */\n 219→ export function delay(error: MessageV2.APIError, attempt: number): number {\n 220→ const maxRetryTimeout = getRetryTimeout();\n 221→ const maxBackoffDelay = getMaxRetryDelay();\n 222→ const headers = error.data.responseHeaders;\n 223→\n 224→ if (headers) {\n 225→ const retryAfterMs = parseRetryAfterHeader(headers);\n 226→\n 227→ if (retryAfterMs !== null) {\n 228→ // Check if retry-after exceeds the maximum retry timeout\n 229→ if (retryAfterMs > maxRetryTimeout) {\n 230→ log.error(() => ({\n 231→ message:\n 232→ 'retry-after exceeds maximum retry timeout, failing immediately',\n 233→ retryAfterMs,\n 234→ maxRetryTimeout,\n 235→ retryAfterHours: (retryAfterMs / 1000 / 3600).toFixed(2),\n 236→ maxRetryTimeoutHours: (maxRetryTimeout / 1000 / 3600).toFixed(2),\n 237→ }));\n 238→ throw new RetryTimeoutExceededError(retryAfterMs, maxRetryTimeout);\n 239→ }\n 240→\n 241→ // Use exact retry-after time (within timeout limit)\n 242→ log.info(() => ({\n 243→ message: 'using exact retry-after value',\n 244→ retryAfterMs,\n 245→ maxRetryTimeout,\n 246→ }));\n 247→ return addJitter(retryAfterMs);\n 248→ }\n 249→\n 250→ // Headers present but no retry-after - use exponential backoff with max delay cap\n 251→ const backoffDelay = Math.min(\n 252→ RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1),\n 253→ maxBackoffDelay\n 254→ );\n 255→ log.info(() => ({\n 256→ message: 'no retry-after header, using exponential backoff',\n 257→ attempt,\n 258→ backoffDelay,\n 259→ maxBackoffDelay,\n 260→ }));\n 261→ return addJitter(backoffDelay);\n 262→ }\n 263→\n 264→ // No headers at all - use exponential backoff with lower cap\n 265→ const backoffDelay = Math.min(\n 266→ RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1),\n 267→ RETRY_MAX_DELAY_NO_HEADERS\n 268→ );\n 269→ log.info(() => ({\n 270→ message:\n 271→ 'no response headers, using exponential backoff with conservative cap',\n 272→ attempt,\n 273→ backoffDelay,\n 274→ maxCap: RETRY_MAX_DELAY_NO_HEADERS,\n 275→ }));\n 276→ return addJitter(backoffDelay);\n 277→ }\n 278→\n 279→ /**\n 280→ * Calculate delay for socket connection error retries.\n 281→ * Uses exponential backoff: 1s, 2s, 4s, etc.\n 282→ */\n 283→ export function socketErrorDelay(attempt: number): number {\n 284→ return (\n 285→ SOCKET_ERROR_INITIAL_DELAY *\n 286→ Math.pow(SOCKET_ERROR_BACKOFF_FACTOR, attempt - 1)\n 287→ );\n 288→ }\n 289→\n 290→ /**\n 291→ * Calculate delay for timeout error retries.\n 292→ * Uses fixed intervals: 30s, 60s, 120s.\n 293→ * See: https://github.com/link-assistant/agent/issues/142\n 294→ */\n 295→ export function timeoutDelay(attempt: number): number {\n 296→ const index = Math.min(attempt - 1, TIMEOUT_DELAYS.length - 1);\n 297→ return TIMEOUT_DELAYS[index];\n 298→ }\n 299→\n 300→ /**\n 301→ * Calculate delay for stream parse error retries.\n 302→ * Uses exponential backoff: 1s, 2s, 4s, etc.\n 303→ * These errors are typically caused by malformed SSE data from providers.\n 304→ * See: https://github.com/link-assistant/agent/issues/169\n 305→ */\n 306→ export function streamParseErrorDelay(attempt: number): number {\n 307→ return (\n 308→ STREAM_PARSE_ERROR_INITIAL_DELAY *\n 309→ Math.pow(STREAM_PARSE_ERROR_BACKOFF_FACTOR, attempt - 1)\n 310→ );\n 311→ }\n 312→}\n 313→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": "import { MessageV2 } from './message-v2';\nimport { Flag } from '../flag/flag';\nimport { Log } from '../util/log';\n\nexport namespace SessionRetry {\n const log = Log.create({ service: 'session.retry' });\n\n export const RETRY_INITIAL_DELAY = 2000;\n export const RETRY_BACKOFF_FACTOR = 2;\n export const RETRY_MAX_DELAY_NO_HEADERS = 30_000; // 30 seconds\n\n // Maximum delay for a single retry attempt when NO retry-after header (default: 20 minutes)\n // This caps exponential backoff when headers are not available\n // Can be configured via AGENT_MAX_RETRY_DELAY env var\n export function getMaxRetryDelay(): number {\n return Flag.MAX_RETRY_DELAY();\n }\n\n // Get retry timeout in milliseconds\n export function getRetryTimeout(): number {\n return Flag.RETRY_TIMEOUT() * 1000;\n }\n\n /**\n * Error thrown when retry-after exceeds AGENT_RETRY_TIMEOUT\n * This indicates the wait time is too long and we should fail immediately\n */\n export class RetryTimeoutExceededError extends Error {\n public readonly retryAfterMs: number;\n public readonly maxTimeoutMs: number;\n\n constructor(retryAfterMs: number, maxTimeoutMs: number) {\n const retryAfterHours = (retryAfterMs / 1000 / 3600).toFixed(2);\n const maxTimeoutHours = (maxTimeoutMs / 1000 / 3600).toFixed(2);\n super(\n `API returned retry-after of ${retryAfterHours} hours, which exceeds the maximum retry timeout of ${maxTimeoutHours} hours. ` +\n `Failing immediately instead of waiting. You can adjust AGENT_RETRY_TIMEOUT env var to increase the limit.`\n );\n this.name = 'RetryTimeoutExceededError';\n this.retryAfterMs = retryAfterMs;\n this.maxTimeoutMs = maxTimeoutMs;\n }\n }\n\n // Socket connection error retry configuration\n // Bun's fetch() has a known 10-second idle timeout issue\n // See: https://github.com/oven-sh/bun/issues/14439\n export const SOCKET_ERROR_MAX_RETRIES = 3;\n export const SOCKET_ERROR_INITIAL_DELAY = 1000; // 1 second\n export const SOCKET_ERROR_BACKOFF_FACTOR = 2;\n\n // Timeout error retry configuration\n // When API requests time out (AbortSignal.timeout), retry with increasing intervals\n // See: https://github.com/link-assistant/agent/issues/142\n export const TIMEOUT_MAX_RETRIES = 3;\n export const TIMEOUT_DELAYS = [30_000, 60_000, 120_000]; // 30s, 60s, 120s\n\n // Stream parse error retry configuration\n // When SSE streams return malformed JSON (AI_JSONParseError), retry with exponential backoff\n // These are typically transient issues with AI gateways (e.g. Kilo AI Gateway)\n // corrupting SSE chunks when proxying provider responses (e.g. Kimi K2.5, GLM-4.7)\n // See: https://github.com/link-assistant/agent/issues/169\n // See: https://github.com/vercel/ai/issues/12595\n export const STREAM_PARSE_ERROR_MAX_RETRIES = 3;\n export const STREAM_PARSE_ERROR_INITIAL_DELAY = 1000; // 1 second\n export const STREAM_PARSE_ERROR_BACKOFF_FACTOR = 2;\n\n // Rate limit retry state tracking\n // Tracks total time spent retrying for each error type\n // See: https://github.com/link-assistant/agent/issues/157\n interface RetryState {\n errorType: string;\n startTime: number;\n totalRetryTime: number;\n }\n\n const retryStates: Map<string, RetryState> = new Map();\n\n /**\n * Check if we should continue retrying for a given session and error type.\n * Returns true if within retry timeout, false if exceeded.\n * The timeout resets when the error type changes.\n */\n export function shouldRetry(\n sessionID: string,\n errorType: string\n ): { shouldRetry: boolean; elapsedTime: number; maxTime: number } {\n const maxTime = Flag.RETRY_TIMEOUT() * 1000; // Convert to ms\n const state = retryStates.get(sessionID);\n\n if (!state || state.errorType !== errorType) {\n // New error type or first error - reset state\n retryStates.set(sessionID, {\n errorType,\n startTime: Date.now(),\n totalRetryTime: 0,\n });\n return { shouldRetry: true, elapsedTime: 0, maxTime };\n }\n\n const elapsedTime = Date.now() - state.startTime;\n if (elapsedTime >= maxTime) {\n log.info(() => ({\n message: 'retry timeout exceeded',\n sessionID,\n errorType,\n elapsedTime,\n maxTime,\n }));\n return { shouldRetry: false, elapsedTime, maxTime };\n }\n\n return { shouldRetry: true, elapsedTime, maxTime };\n }\n\n /**\n * Update retry state after a retry attempt.\n */\n export function updateRetryState(sessionID: string, delayMs: number): void {\n const state = retryStates.get(sessionID);\n if (state) {\n state.totalRetryTime += delayMs;\n }\n }\n\n /**\n * Clear retry state for a session (e.g., on success).\n */\n export function clearRetryState(sessionID: string): void {\n retryStates.delete(sessionID);\n }\n\n export async function sleep(ms: number, signal: AbortSignal): Promise<void> {\n return new Promise((resolve, reject) => {\n const timeout = setTimeout(resolve, ms);\n signal.addEventListener(\n 'abort',\n () => {\n clearTimeout(timeout);\n reject(new DOMException('Aborted', 'AbortError'));\n },\n { once: true }\n );\n });\n }\n\n /**\n * Add jitter to a delay value to prevent thundering herd.\n * Adds 0-10% random variation to the delay.\n */\n function addJitter(delay: number): number {\n const jitter = Math.random() * 0.1 * delay;\n return Math.round(delay + jitter);\n }\n\n /**\n * Parse retry-after value from headers and return delay in milliseconds.\n * Returns null if no valid retry-after header is found.\n */\n function parseRetryAfterHeader(\n headers: Record<string, string>\n ): number | null {\n // Check for retry-after-ms header first (milliseconds)\n const retryAfterMs = headers['retry-after-ms'];\n if (retryAfterMs) {\n const parsedMs = Number.parseFloat(retryAfterMs);\n if (!Number.isNaN(parsedMs) && parsedMs > 0) {\n log.info(() => ({\n message: 'parsed retry-after-ms header',\n headerValue: parsedMs,\n }));\n return parsedMs;\n }\n }\n\n // Check for retry-after header (seconds or HTTP date)\n const retryAfter = headers['retry-after'];\n if (retryAfter) {\n const parsedSeconds = Number.parseFloat(retryAfter);\n if (!Number.isNaN(parsedSeconds) && parsedSeconds > 0) {\n const delayMs = Math.ceil(parsedSeconds * 1000);\n log.info(() => ({\n message: 'parsed retry-after header (seconds)',\n headerValue: parsedSeconds,\n delayMs,\n }));\n return delayMs;\n }\n // Try parsing as HTTP date format\n const parsed = Date.parse(retryAfter) - Date.now();\n if (!Number.isNaN(parsed) && parsed > 0) {\n log.info(() => ({\n message: 'parsed retry-after header (date)',\n headerValue: retryAfter,\n delayMs: parsed,\n }));\n return Math.ceil(parsed);\n }\n }\n\n return null;\n }\n\n /**\n * Calculate retry delay based on error response headers and attempt number.\n *\n * RETRY LOGIC (per issue #157 requirements):\n * 1. If retry-after header is available:\n * - If retry-after <= AGENT_RETRY_TIMEOUT: use it directly (exact time)\n * - If retry-after > AGENT_RETRY_TIMEOUT: throw RetryTimeoutExceededError (fail immediately)\n * 2. If no retry-after header:\n * - Use exponential backoff up to AGENT_MAX_RETRY_DELAY\n *\n * Adds jitter to prevent thundering herd when multiple requests retry.\n * See: https://github.com/link-assistant/agent/issues/157\n *\n * @throws {RetryTimeoutExceededError} When retry-after exceeds AGENT_RETRY_TIMEOUT\n */\n export function delay(error: MessageV2.APIError, attempt: number): number {\n const maxRetryTimeout = getRetryTimeout();\n const maxBackoffDelay = getMaxRetryDelay();\n const headers = error.data.responseHeaders;\n\n if (headers) {\n const retryAfterMs = parseRetryAfterHeader(headers);\n\n if (retryAfterMs !== null) {\n // Check if retry-after exceeds the maximum retry timeout\n if (retryAfterMs > maxRetryTimeout) {\n log.error(() => ({\n message:\n 'retry-after exceeds maximum retry timeout, failing immediately',\n retryAfterMs,\n maxRetryTimeout,\n retryAfterHours: (retryAfterMs / 1000 / 3600).toFixed(2),\n maxRetryTimeoutHours: (maxRetryTimeout / 1000 / 3600).toFixed(2),\n }));\n throw new RetryTimeoutExceededError(retryAfterMs, maxRetryTimeout);\n }\n\n // Use exact retry-after time (within timeout limit)\n log.info(() => ({\n message: 'using exact retry-after value',\n retryAfterMs,\n maxRetryTimeout,\n }));\n return addJitter(retryAfterMs);\n }\n\n // Headers present but no retry-after - use exponential backoff with max delay cap\n const backoffDelay = Math.min(\n RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1),\n maxBackoffDelay\n );\n log.info(() => ({\n message: 'no retry-after header, using exponential backoff',\n attempt,\n backoffDelay,\n maxBackoffDelay,\n }));\n return addJitter(backoffDelay);\n }\n\n // No headers at all - use exponential backoff with lower cap\n const backoffDelay = Math.min(\n RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1),\n RETRY_MAX_DELAY_NO_HEADERS\n );\n log.info(() => ({\n message:\n 'no response headers, using exponential backoff with conservative cap',\n attempt,\n backoffDelay,\n maxCap: RETRY_MAX_DELAY_NO_HEADERS,\n }));\n return addJitter(backoffDelay);\n }\n\n /**\n * Calculate delay for socket connection error retries.\n * Uses exponential backoff: 1s, 2s, 4s, etc.\n */\n export function socketErrorDelay(attempt: number): number {\n return (\n SOCKET_ERROR_INITIAL_DELAY *\n Math.pow(SOCKET_ERROR_BACKOFF_FACTOR, attempt - 1)\n );\n }\n\n /**\n * Calculate delay for timeout error retries.\n * Uses fixed intervals: 30s, 60s, 120s.\n * See: https://github.com/link-assistant/agent/issues/142\n */\n export function timeoutDelay(attempt: number): number {\n const index = Math.min(attempt - 1, TIMEOUT_DELAYS.length - 1);\n return TIMEOUT_DELAYS[index];\n }\n\n /**\n * Calculate delay for stream parse error retries.\n * Uses exponential backoff: 1s, 2s, 4s, etc.\n * These errors are typically caused by malformed SSE data from providers.\n * See: https://github.com/link-assistant/agent/issues/169\n */\n export function streamParseErrorDelay(attempt: number): number {\n return (\n STREAM_PARSE_ERROR_INITIAL_DELAY *\n Math.pow(STREAM_PARSE_ERROR_BACKOFF_FACTOR, attempt - 1)\n );\n }\n}\n", | |
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| "content": " 1→# Case Study: Premature Session Termination Due to SSE Stream Corruption (Issue #169)\n 2→\n 3→## Summary\n 4→\n 5→The agent's session terminated after ~5 minutes instead of retrying for the expected 7-day window. The root cause is a chain of three failures:\n 6→\n 7→1. **SSE stream corruption** at the Kilo AI Gateway level when proxying responses from Moonshot's Kimi K2.5 API\n 8→2. **Vercel AI SDK** throwing `AI_JSONParseError` (which has no `isRetryable` property and no built-in retry for mid-stream errors)\n 9→3. **Agent's error classifier** in `message-v2.ts` falling through to `NamedError.Unknown`, which is not retryable\n 10→\n 11→## Infrastructure Chain\n 12→\n 13→```\n 14→Agent (Bun) → OpenCode Zen Provider → Kilo AI Gateway (api.kilo.ai) → Moonshot Kimi K2.5 API\n 15→```\n 16→\n 17→- **Provider ID**: `opencode` (resolved from `--model kimi-k2.5-free`)\n 18→- **SDK**: `@ai-sdk/openai-compatible` (OpenAI-compatible protocol)\n 19→- **Gateway**: Kilo AI Gateway at `https://api.kilo.ai/api/gateway`\n 20→- **Model**: `moonshot/kimi-k2.5:free` (Moonshot's Kimi K2.5, free tier)\n 21→\n 22→**Note**: OpenRouter is NOT involved in this incident. The previous analysis incorrectly attributed the SSE corruption to OpenRouter. The actual proxy is the Kilo AI Gateway.\n 23→\n 24→## Timeline of Events\n 25→\n 26→| Time (UTC) | Event | Details |\n 27→|------------|-------|---------|\n 28→| 08:28:31 | Process started | `solve v1.23.1`, model `kimi-k2.5-free` |\n 29→| 08:28:51 | Branch created | `issue-761-a0caf45f6eba` |\n 30→| 08:28:58 | PR created | PR #778 on target repo |\n 31→| 08:29:06 | Session 1 started | `ses_3a4bb6d8dffeiS5FRAjqmkJinT`, providerID=`opencode` |\n 32→| 08:29:08 | Rate limit (429) | `retry-after: 55852` seconds (~15.5 hours) |\n 33→| 08:29:08–08:30:31 | Multiple 429s | All correctly scheduled with retry-after delays |\n 34→| 08:33:41 | Session 2 started | `ses_3a4b73b0effeFXKMNNCv1Lm3b2`, providerID=`opencode` |\n 35→| 08:34:12.210 | Stream error | `AI_JSONParseError: JSON parsing failed` |\n 36→| 08:34:12.211 | Error classified | `NamedError.Unknown` (not retryable) |\n 37→| 08:34:12.213 | Tool aborted | In-flight tool call marked \"Tool execution aborted\" |\n 38→| 08:34:12.293 | Solve script | Misclassified as `UsageLimit` due to \"Tool execution aborted\" pattern |\n 39→| 08:34:12.301 | **Session terminated** | Process exited, total runtime ~5 minutes |\n 40→\n 41→## Root Cause Analysis\n 42→\n 43→### Root Cause 1: Malformed SSE Data from Kilo AI Gateway\n 44→\n 45→The SSE stream returned corrupted data where two SSE chunks were concatenated without proper delimiters:\n 46→\n 47→```\n 48→Received (corrupted):\n 49→{\"id\":\"chatcmpl-jQugNdata:{\"id\":\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\",\"object\":\"chat.completion.chunk\",\"created\":1771058051,\"model\":\"kimi-k2.5\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\"},\"finish_reason\":null}],\"system_fingerprint\":\"fpv0_f7e5c49a\"}\n 50→```\n 51→\n 52→Breaking this down:\n 53→- `{\"id\":\"chatcmpl-jQugN` — partial first chunk (truncated after the `id` value)\n 54→- `data:` — SSE protocol prefix that should start a new line\n 55→- `{\"id\":\"chatcmpl-iU6vk...` — complete second chunk\n 56→\n 57→Expected (correct SSE format):\n 58→```\n 59→data: {\"id\":\"chatcmpl-jQugN\",\"object\":\"chat.completion.chunk\",...}\\n\\n\n 60→data: {\"id\":\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\",\"object\":\"chat.completion.chunk\",...}\\n\\n\n 61→```\n 62→\n 63→This is a known class of issue with AI gateways/proxies. Similar issues have been reported:\n 64→- [OpenCode #7692](https://github.com/anomalyco/opencode/issues/7692): \"JSON Parse Error with Zhipu GLM-4.7: Stream chunks are concatenated incorrectly\"\n 65→- [OpenCode #10967](https://github.com/anomalyco/opencode/issues/10967): \"Error Writing Large Files (at least with Kimi K2.5)\"\n 66→- [Kilo-Org/kilocode #5433](https://github.com/Kilo-Org/kilocode/issues/5433): \"Kimi K2.5 - Fails with Kilo Gateway\"\n 67→- [sglang #8613](https://github.com/sgl-project/sglang/issues/8613): \"Kimi-K2 model outputs incomplete content during multi-turn streaming\"\n 68→\n 69→### Root Cause 2: Vercel AI SDK Does Not Retry Mid-Stream Parse Errors\n 70→\n 71→The Vercel AI SDK's SSE parsing pipeline is:\n 72→\n 73→```\n 74→HTTP Response Body (bytes)\n 75→ → TextDecoderStream (bytes → text)\n 76→ → EventSourceParserStream (eventsource-parser library, text → SSE messages)\n 77→ → TransformStream (SSE data → JSON.parse → ParseResult)\n 78→ → OpenAI-compatible model handler (ParseResult → stream parts)\n 79→```\n 80→\n 81→Key findings from [AI SDK source code analysis](https://github.com/vercel/ai):\n 82→- `AI_JSONParseError` has **NO `isRetryable` property** (only `APICallError` has it)\n 83→- The SDK's retry mechanism (`retryWithExponentialBackoff`) only retries `APICallError` instances\n 84→- Mid-stream errors (after HTTP 200 is received) are **never retried** by the SDK\n 85→- The error is emitted as `{ type: 'error', error: JSONParseError }` in the stream\n 86→- Default `onError` handler simply `console.error`s it\n 87→\n 88→References:\n 89→- [Vercel AI SDK Error Reference](https://ai-sdk.dev/docs/reference/ai-sdk-errors/ai-json-parse-error)\n 90→- [Vercel AI #4099](https://github.com/vercel/ai/issues/4099): streamText error handling\n 91→- [Ollama #5417](https://github.com/ollama/ollama/issues/5417): Cloudflare Tunnel + Vercel AI SDK = AI_JSONParseError\n 92→\n 93→### Root Cause 3: Agent's Error Classifier Falls Through to UnknownError\n 94→\n 95→In `message-v2.ts:fromError()`, the error classification chain is:\n 96→1. `DOMException AbortError` → `AbortedError` ❌\n 97→2. `DOMException TimeoutError` → `TimeoutError` ❌\n 98→3. `OutputLengthError` → pass through ❌\n 99→4. `LoadAPIKeyError` → `AuthError` ❌\n 100→5. `APICallError` → `APIError` ❌\n 101→6. `Error` with socket message → `SocketConnectionError` ❌\n 102→7. `Error` with timeout message → `TimeoutError` ❌\n 103→8. **`AI_JSONParseError` falls through here** → `NamedError.Unknown`\n 104→\n 105→Since `NamedError.Unknown` is not in the retryable error list in `processor.ts`, the session terminates immediately.\n 106→\n 107→### Contributing Factor: Solve Script Error Misclassification\n 108→\n 109→The external solve script detected \"Tool execution aborted\" (a side effect of the stream error — in-flight tool calls are aborted when the stream errors out) and misclassified it as `UsageLimit`, preventing any further retry at the script level.\n 110→\n 111→## Comparison with Other CLI Agents\n 112→\n 113→### OpenAI Codex CLI (Rust)\n 114→**Best practice found**: Codex **skips unparseable SSE events and continues processing the stream**. JSON parse errors on individual events are logged at debug level and the stream loop continues with `continue;`. Only SSE framing errors (protocol-level) terminate the stream, and even those trigger stream-level retries (up to 5 retries with exponential backoff). `CodexErr::Json` is explicitly marked as retryable.\n 115→\n 116→Key code (`codex-api/src/sse/responses.rs:373-379`):\n 117→```rust\n 118→let event: ResponsesStreamEvent = match serde_json::from_str(&sse.data) {\n 119→ Ok(event) => event,\n 120→ Err(e) => {\n 121→ debug!(\"Failed to parse SSE event: {e}, data: {}\", &sse.data);\n 122→ continue; // Skip and continue processing the stream\n 123→ }\n 124→};\n 125→```\n 126→\n 127→### Gemini CLI\n 128→**Two-layer retry architecture**: Layer 1 retries the HTTP connection (exponential backoff, 3 attempts). Layer 2 retries stream consumption errors including `InvalidStreamError` (when stream ends without finish reason, with empty response, or with malformed function call). However, `SyntaxError` from JSON.parse in the custom SSE parser is **NOT caught** — this is a gap similar to the agent's.\n 129→\n 130→### Qwen Code\n 131→**Graceful JSON parse recovery in SDK**: The SDK's `parseJsonLineSafe()` function silently skips lines that fail to parse, logging a warning instead of crashing. At the stream level, `StreamContentError` for rate limits is retried with 60-second delays (up to 10 retries). `InvalidStreamError` is retried once with 500ms delay.\n 132→\n 133→### OpenCode (sst/opencode — this project's upstream)\n 134→**Same gap as the agent**: `AI_JSONParseError` falls through to `NamedError.Unknown` in `fromError()` and is NOT retried. The `retryable()` function in `retry.ts` returns `undefined` for Unknown errors that don't contain parseable JSON.\n 135→\n 136→## Root Cause Summary\n 137→\n 138→| Layer | Responsible Party | Issue |\n 139→|-------|------------------|-------|\n 140→| SSE Stream | Kilo AI Gateway / Moonshot Kimi K2.5 | Corrupted SSE chunks (concatenated without delimiters) |\n 141→| SSE Parsing | Vercel AI SDK (`eventsource-parser`) | No retry for mid-stream parse errors; `AI_JSONParseError` has no `isRetryable` |\n 142→| Error Classification | Agent (`message-v2.ts`) | Falls through to `NamedError.Unknown` (not retryable) |\n 143→| Process Management | Solve script | Misclassifies \"Tool execution aborted\" as `UsageLimit` |\n 144→\n 145→## Proposed Solutions\n 146→\n 147→### Solution 1: Skip-and-Continue (Codex approach) — Recommended for prevention\n 148→\n 149→Instead of terminating the stream on a single bad SSE event, skip the corrupted event and continue processing:\n 150→\n 151→```typescript\n 152→// In a custom response handler or transform stream\n 153→if (!chunk.success) {\n 154→ log.warn('Skipping unparseable SSE event', { error: chunk.error.text });\n 155→ return; // Skip this event, continue with next\n 156→}\n 157→```\n 158→\n 159→This is the most resilient approach — used by OpenAI Codex. A single corrupted SSE chunk should not terminate an entire stream when subsequent chunks may be valid.\n 160→\n 161→### Solution 2: Stream-Level Retry (Current approach, improved)\n 162→\n 163→Detect `AI_JSONParseError` in `fromError()` and classify as `StreamParseError` (retryable). Retry the entire stream with exponential backoff:\n 164→\n 165→```typescript\n 166→// In message-v2.ts fromError()\n 167→const isStreamParseError =\n 168→ e.name === 'AI_JSONParseError' ||\n 169→ message.includes('AI_JSONParseError') ||\n 170→ message.includes('JSON parsing failed');\n 171→if (isStreamParseError) {\n 172→ return new MessageV2.StreamParseError(\n 173→ { message, isRetryable: true, text: (e as any).text },\n 174→ { cause: e }\n 175→ ).toObject();\n 176→}\n 177→```\n 178→\n 179→### Solution 3: Upstream Fixes\n 180→\n 181→File issues with:\n 182→1. **Vercel AI SDK**: Request `isRetryable` property on `AI_JSONParseError`, or a configurable stream error handler\n 183→2. **Kilo AI Gateway**: Report SSE stream corruption when proxying Kimi K2.5\n 184→3. **Moonshot (Kimi K2.5)**: Report SSE stream format issues\n 185→\n 186→## External Issues to File\n 187→\n 188→### 1. Vercel AI SDK (`vercel/ai`)\n 189→\n 190→**Title**: `AI_JSONParseError` should support retry for mid-stream parse errors\n 191→\n 192→**Key points**:\n 193→- `AI_JSONParseError` has no `isRetryable` property\n 194→- The SDK's built-in retry only works for `APICallError` and only for the initial HTTP request\n 195→- Mid-stream parse errors (after HTTP 200) are never retried\n 196→- Other CLI agents (OpenAI Codex) handle this by skipping bad events or retrying the stream\n 197→- Propose: add `isRetryable` property, or provide a `onStreamParseError` callback, or expose a way to configure stream-level retry\n 198→\n 199→### 2. Kilo AI Gateway (`Kilo-Org`)\n 200→\n 201→**Title**: SSE stream corruption when proxying Kimi K2.5 — chunks concatenated without delimiters\n 202→\n 203→**Key points**:\n 204→- Two SSE events concatenated: `{\"id\":\"chatcmpl-jQugNdata:{\"id\":\"chatcmpl-iU6vk...`\n 205→- The `data:` prefix of the second event is embedded in the first event's JSON\n 206→- This violates the SSE specification (RFC)\n 207→- Timestamp: 2026-02-14T08:34:12Z\n 208→- Model: `moonshot/kimi-k2.5:free`\n 209→- Related: [Kilo-Org/kilocode #5433](https://github.com/Kilo-Org/kilocode/issues/5433)\n 210→\n 211→### 3. Moonshot (moonshotai/Kimi-K2-Instruct)\n 212→\n 213→**Title**: Kimi K2.5 SSE streaming produces malformed chunks\n 214→\n 215→**Key points**:\n 216→- SSE chunks appear to be truncated and concatenated at the origin level\n 217→- Multiple reports across different gateways (Kilo, OpenCode Zen)\n 218→- Related: [sglang #8613](https://github.com/sgl-project/sglang/issues/8613)\n 219→\n 220→## Conclusion\n 221→\n 222→The premature session termination was caused by a cascade of failures across four layers:\n 223→1. **Origin**: Kimi K2.5 or Kilo Gateway produced corrupted SSE chunks\n 224→2. **SDK**: Vercel AI SDK correctly detected the corruption but provided no retry/recovery path\n 225→3. **Agent**: Error classifier didn't recognize `AI_JSONParseError` as retryable\n 226→4. **Process**: Solve script misclassified the downstream effect as a usage limit\n 227→\n 228→The best defense is defense in depth:\n 229→- **Short-term**: Classify `AI_JSONParseError` as retryable (Solution 2, already implemented)\n 230→- **Medium-term**: Implement skip-and-continue for individual bad SSE events (Solution 1, Codex approach)\n 231→- **Long-term**: File upstream issues for proper fixes at gateway and SDK level (Solution 3)\n 232→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "ac734cb3-bd01-4113-bc54-b68466e70431", | |
| "tool_use_result": { | |
| "type": "text", | |
| "file": { | |
| "filePath": "/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/analysis.md", | |
| "content": "# Case Study: Premature Session Termination Due to SSE Stream Corruption (Issue #169)\n\n## Summary\n\nThe agent's session terminated after ~5 minutes instead of retrying for the expected 7-day window. The root cause is a chain of three failures:\n\n1. **SSE stream corruption** at the Kilo AI Gateway level when proxying responses from Moonshot's Kimi K2.5 API\n2. **Vercel AI SDK** throwing `AI_JSONParseError` (which has no `isRetryable` property and no built-in retry for mid-stream errors)\n3. **Agent's error classifier** in `message-v2.ts` falling through to `NamedError.Unknown`, which is not retryable\n\n## Infrastructure Chain\n\n```\nAgent (Bun) → OpenCode Zen Provider → Kilo AI Gateway (api.kilo.ai) → Moonshot Kimi K2.5 API\n```\n\n- **Provider ID**: `opencode` (resolved from `--model kimi-k2.5-free`)\n- **SDK**: `@ai-sdk/openai-compatible` (OpenAI-compatible protocol)\n- **Gateway**: Kilo AI Gateway at `https://api.kilo.ai/api/gateway`\n- **Model**: `moonshot/kimi-k2.5:free` (Moonshot's Kimi K2.5, free tier)\n\n**Note**: OpenRouter is NOT involved in this incident. The previous analysis incorrectly attributed the SSE corruption to OpenRouter. The actual proxy is the Kilo AI Gateway.\n\n## Timeline of Events\n\n| Time (UTC) | Event | Details |\n|------------|-------|---------|\n| 08:28:31 | Process started | `solve v1.23.1`, model `kimi-k2.5-free` |\n| 08:28:51 | Branch created | `issue-761-a0caf45f6eba` |\n| 08:28:58 | PR created | PR #778 on target repo |\n| 08:29:06 | Session 1 started | `ses_3a4bb6d8dffeiS5FRAjqmkJinT`, providerID=`opencode` |\n| 08:29:08 | Rate limit (429) | `retry-after: 55852` seconds (~15.5 hours) |\n| 08:29:08–08:30:31 | Multiple 429s | All correctly scheduled with retry-after delays |\n| 08:33:41 | Session 2 started | `ses_3a4b73b0effeFXKMNNCv1Lm3b2`, providerID=`opencode` |\n| 08:34:12.210 | Stream error | `AI_JSONParseError: JSON parsing failed` |\n| 08:34:12.211 | Error classified | `NamedError.Unknown` (not retryable) |\n| 08:34:12.213 | Tool aborted | In-flight tool call marked \"Tool execution aborted\" |\n| 08:34:12.293 | Solve script | Misclassified as `UsageLimit` due to \"Tool execution aborted\" pattern |\n| 08:34:12.301 | **Session terminated** | Process exited, total runtime ~5 minutes |\n\n## Root Cause Analysis\n\n### Root Cause 1: Malformed SSE Data from Kilo AI Gateway\n\nThe SSE stream returned corrupted data where two SSE chunks were concatenated without proper delimiters:\n\n```\nReceived (corrupted):\n{\"id\":\"chatcmpl-jQugNdata:{\"id\":\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\",\"object\":\"chat.completion.chunk\",\"created\":1771058051,\"model\":\"kimi-k2.5\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\"},\"finish_reason\":null}],\"system_fingerprint\":\"fpv0_f7e5c49a\"}\n```\n\nBreaking this down:\n- `{\"id\":\"chatcmpl-jQugN` — partial first chunk (truncated after the `id` value)\n- `data:` — SSE protocol prefix that should start a new line\n- `{\"id\":\"chatcmpl-iU6vk...` — complete second chunk\n\nExpected (correct SSE format):\n```\ndata: {\"id\":\"chatcmpl-jQugN\",\"object\":\"chat.completion.chunk\",...}\\n\\n\ndata: {\"id\":\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\",\"object\":\"chat.completion.chunk\",...}\\n\\n\n```\n\nThis is a known class of issue with AI gateways/proxies. Similar issues have been reported:\n- [OpenCode #7692](https://github.com/anomalyco/opencode/issues/7692): \"JSON Parse Error with Zhipu GLM-4.7: Stream chunks are concatenated incorrectly\"\n- [OpenCode #10967](https://github.com/anomalyco/opencode/issues/10967): \"Error Writing Large Files (at least with Kimi K2.5)\"\n- [Kilo-Org/kilocode #5433](https://github.com/Kilo-Org/kilocode/issues/5433): \"Kimi K2.5 - Fails with Kilo Gateway\"\n- [sglang #8613](https://github.com/sgl-project/sglang/issues/8613): \"Kimi-K2 model outputs incomplete content during multi-turn streaming\"\n\n### Root Cause 2: Vercel AI SDK Does Not Retry Mid-Stream Parse Errors\n\nThe Vercel AI SDK's SSE parsing pipeline is:\n\n```\nHTTP Response Body (bytes)\n → TextDecoderStream (bytes → text)\n → EventSourceParserStream (eventsource-parser library, text → SSE messages)\n → TransformStream (SSE data → JSON.parse → ParseResult)\n → OpenAI-compatible model handler (ParseResult → stream parts)\n```\n\nKey findings from [AI SDK source code analysis](https://github.com/vercel/ai):\n- `AI_JSONParseError` has **NO `isRetryable` property** (only `APICallError` has it)\n- The SDK's retry mechanism (`retryWithExponentialBackoff`) only retries `APICallError` instances\n- Mid-stream errors (after HTTP 200 is received) are **never retried** by the SDK\n- The error is emitted as `{ type: 'error', error: JSONParseError }` in the stream\n- Default `onError` handler simply `console.error`s it\n\nReferences:\n- [Vercel AI SDK Error Reference](https://ai-sdk.dev/docs/reference/ai-sdk-errors/ai-json-parse-error)\n- [Vercel AI #4099](https://github.com/vercel/ai/issues/4099): streamText error handling\n- [Ollama #5417](https://github.com/ollama/ollama/issues/5417): Cloudflare Tunnel + Vercel AI SDK = AI_JSONParseError\n\n### Root Cause 3: Agent's Error Classifier Falls Through to UnknownError\n\nIn `message-v2.ts:fromError()`, the error classification chain is:\n1. `DOMException AbortError` → `AbortedError` ❌\n2. `DOMException TimeoutError` → `TimeoutError` ❌\n3. `OutputLengthError` → pass through ❌\n4. `LoadAPIKeyError` → `AuthError` ❌\n5. `APICallError` → `APIError` ❌\n6. `Error` with socket message → `SocketConnectionError` ❌\n7. `Error` with timeout message → `TimeoutError` ❌\n8. **`AI_JSONParseError` falls through here** → `NamedError.Unknown`\n\nSince `NamedError.Unknown` is not in the retryable error list in `processor.ts`, the session terminates immediately.\n\n### Contributing Factor: Solve Script Error Misclassification\n\nThe external solve script detected \"Tool execution aborted\" (a side effect of the stream error — in-flight tool calls are aborted when the stream errors out) and misclassified it as `UsageLimit`, preventing any further retry at the script level.\n\n## Comparison with Other CLI Agents\n\n### OpenAI Codex CLI (Rust)\n**Best practice found**: Codex **skips unparseable SSE events and continues processing the stream**. JSON parse errors on individual events are logged at debug level and the stream loop continues with `continue;`. Only SSE framing errors (protocol-level) terminate the stream, and even those trigger stream-level retries (up to 5 retries with exponential backoff). `CodexErr::Json` is explicitly marked as retryable.\n\nKey code (`codex-api/src/sse/responses.rs:373-379`):\n```rust\nlet event: ResponsesStreamEvent = match serde_json::from_str(&sse.data) {\n Ok(event) => event,\n Err(e) => {\n debug!(\"Failed to parse SSE event: {e}, data: {}\", &sse.data);\n continue; // Skip and continue processing the stream\n }\n};\n```\n\n### Gemini CLI\n**Two-layer retry architecture**: Layer 1 retries the HTTP connection (exponential backoff, 3 attempts). Layer 2 retries stream consumption errors including `InvalidStreamError` (when stream ends without finish reason, with empty response, or with malformed function call). However, `SyntaxError` from JSON.parse in the custom SSE parser is **NOT caught** — this is a gap similar to the agent's.\n\n### Qwen Code\n**Graceful JSON parse recovery in SDK**: The SDK's `parseJsonLineSafe()` function silently skips lines that fail to parse, logging a warning instead of crashing. At the stream level, `StreamContentError` for rate limits is retried with 60-second delays (up to 10 retries). `InvalidStreamError` is retried once with 500ms delay.\n\n### OpenCode (sst/opencode — this project's upstream)\n**Same gap as the agent**: `AI_JSONParseError` falls through to `NamedError.Unknown` in `fromError()` and is NOT retried. The `retryable()` function in `retry.ts` returns `undefined` for Unknown errors that don't contain parseable JSON.\n\n## Root Cause Summary\n\n| Layer | Responsible Party | Issue |\n|-------|------------------|-------|\n| SSE Stream | Kilo AI Gateway / Moonshot Kimi K2.5 | Corrupted SSE chunks (concatenated without delimiters) |\n| SSE Parsing | Vercel AI SDK (`eventsource-parser`) | No retry for mid-stream parse errors; `AI_JSONParseError` has no `isRetryable` |\n| Error Classification | Agent (`message-v2.ts`) | Falls through to `NamedError.Unknown` (not retryable) |\n| Process Management | Solve script | Misclassifies \"Tool execution aborted\" as `UsageLimit` |\n\n## Proposed Solutions\n\n### Solution 1: Skip-and-Continue (Codex approach) — Recommended for prevention\n\nInstead of terminating the stream on a single bad SSE event, skip the corrupted event and continue processing:\n\n```typescript\n// In a custom response handler or transform stream\nif (!chunk.success) {\n log.warn('Skipping unparseable SSE event', { error: chunk.error.text });\n return; // Skip this event, continue with next\n}\n```\n\nThis is the most resilient approach — used by OpenAI Codex. A single corrupted SSE chunk should not terminate an entire stream when subsequent chunks may be valid.\n\n### Solution 2: Stream-Level Retry (Current approach, improved)\n\nDetect `AI_JSONParseError` in `fromError()` and classify as `StreamParseError` (retryable). Retry the entire stream with exponential backoff:\n\n```typescript\n// In message-v2.ts fromError()\nconst isStreamParseError =\n e.name === 'AI_JSONParseError' ||\n message.includes('AI_JSONParseError') ||\n message.includes('JSON parsing failed');\nif (isStreamParseError) {\n return new MessageV2.StreamParseError(\n { message, isRetryable: true, text: (e as any).text },\n { cause: e }\n ).toObject();\n}\n```\n\n### Solution 3: Upstream Fixes\n\nFile issues with:\n1. **Vercel AI SDK**: Request `isRetryable` property on `AI_JSONParseError`, or a configurable stream error handler\n2. **Kilo AI Gateway**: Report SSE stream corruption when proxying Kimi K2.5\n3. **Moonshot (Kimi K2.5)**: Report SSE stream format issues\n\n## External Issues to File\n\n### 1. Vercel AI SDK (`vercel/ai`)\n\n**Title**: `AI_JSONParseError` should support retry for mid-stream parse errors\n\n**Key points**:\n- `AI_JSONParseError` has no `isRetryable` property\n- The SDK's built-in retry only works for `APICallError` and only for the initial HTTP request\n- Mid-stream parse errors (after HTTP 200) are never retried\n- Other CLI agents (OpenAI Codex) handle this by skipping bad events or retrying the stream\n- Propose: add `isRetryable` property, or provide a `onStreamParseError` callback, or expose a way to configure stream-level retry\n\n### 2. Kilo AI Gateway (`Kilo-Org`)\n\n**Title**: SSE stream corruption when proxying Kimi K2.5 — chunks concatenated without delimiters\n\n**Key points**:\n- Two SSE events concatenated: `{\"id\":\"chatcmpl-jQugNdata:{\"id\":\"chatcmpl-iU6vk...`\n- The `data:` prefix of the second event is embedded in the first event's JSON\n- This violates the SSE specification (RFC)\n- Timestamp: 2026-02-14T08:34:12Z\n- Model: `moonshot/kimi-k2.5:free`\n- Related: [Kilo-Org/kilocode #5433](https://github.com/Kilo-Org/kilocode/issues/5433)\n\n### 3. Moonshot (moonshotai/Kimi-K2-Instruct)\n\n**Title**: Kimi K2.5 SSE streaming produces malformed chunks\n\n**Key points**:\n- SSE chunks appear to be truncated and concatenated at the origin level\n- Multiple reports across different gateways (Kilo, OpenCode Zen)\n- Related: [sglang #8613](https://github.com/sgl-project/sglang/issues/8613)\n\n## Conclusion\n\nThe premature session termination was caused by a cascade of failures across four layers:\n1. **Origin**: Kimi K2.5 or Kilo Gateway produced corrupted SSE chunks\n2. **SDK**: Vercel AI SDK correctly detected the corruption but provided no retry/recovery path\n3. **Agent**: Error classifier didn't recognize `AI_JSONParseError` as retryable\n4. **Process**: Solve script misclassified the downstream effect as a usage limit\n\nThe best defense is defense in depth:\n- **Short-term**: Classify `AI_JSONParseError` as retryable (Solution 2, already implemented)\n- **Medium-term**: Implement skip-and-continue for individual bad SSE events (Solution 1, Codex approach)\n- **Long-term**: File upstream issues for proper fixes at gateway and SDK level (Solution 3)\n", | |
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| [2026-02-14T11:24:33.226Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01EdCWKNM224ELS7HLkiFfyL", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": "Now let me understand the user's latest feedback (2 new comments). The most recent comment is:\n\n> \"That is absolutely wrong, this error is absolutely not retry-able, we need to find root cause and fix it. Explain how we got involved OpenCode Zen → Kilo AI Gateway (api.kilo.ai) at the same time?\n> The model was set to --model kimi-k2.5-free. I don't see in sequence of events any switch to Kilo AI gateway, please double check the analysis, we absolutely must not use this error as retry-able, find root cause of it and fix it.\"\n\nThis is critical. The user is saying:\n1. **Stop treating this as retryable** - Find the actual root cause and fix it\n2. **The provider chain is unclear** - How does `--model kimi-k2.5-free` map to Kilo AI Gateway?\n3. **Quote code and logs** to show exactly what happens\n\nI need to trace through the code to understand how `--model kimi-k2.5-free` resolves to an actual API endpoint. Let me look at the provider resolution code." | |
| } | |
| ], | |
| "stop_reason": "tool_use", | |
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| }, | |
| "output_tokens": 967, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
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| "applied_edits": [] | |
| } | |
| }, | |
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| } | |
| [2026-02-14T11:24:33.227Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01EdCWKNM224ELS7HLkiFfyL", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_015s6SWJxH4TEM7qp58d6QsR", | |
| "name": "Task", | |
| "input": { | |
| "description": "Explore provider resolution code", | |
| "prompt": "I need to understand how the agent resolves `--model kimi-k2.5-free` to an actual API endpoint. Search through the codebase at /tmp/gh-issue-solver-1771068195706 for:\n\n1. Provider configuration - how models are configured and resolved\n2. The \"opencode\" provider specifically - how it maps model names to API endpoints\n3. The \"kilo\" provider or any reference to \"kilo.ai\" or \"api.kilo.ai\"\n4. How `kimi-k2.5-free` is resolved to an actual API call\n5. The full provider chain: what code decides which base URL and API key to use\n\nSearch in directories like js/src/provider/, js/src/config/, or anywhere relevant. Read the key files. Provide the full picture of:\n- Which files contain model/provider resolution\n- What the actual model ID mapping looks like (e.g. `kimi-k2.5-free` → what?)\n- What base URL gets used\n- Whether Kilo AI Gateway is involved or not\n\nBe thorough and quote the relevant code sections.", | |
| "subagent_type": "Explore" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": "tool_use", | |
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| }, | |
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| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": { | |
| "applied_edits": [] | |
| } | |
| }, | |
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| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "02de5196-2987-40d1-bc56-eaaa7fa31677" | |
| } | |
| [2026-02-14T11:24:33.228Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01EdCWKNM224ELS7HLkiFfyL", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_019fizTgnNBJ77MKCxv1vziw", | |
| "name": "Task", | |
| "input": { | |
| "description": "Download and analyze original log", | |
| "prompt": "Download and analyze the original log file for issue 169 from the gist URL. The log is at:\nhttps://gist.githubusercontent.com/konard/06e84135c9a4c875b21868695f3043d2/raw/9368328432dfd8bec86931c66800d48e835c1b39/solve-2026-02-14T08-28-31-968Z.log\n\nIt's already been downloaded to /tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/original-log.txt\n\nPlease read that file and search for:\n\n1. Any references to \"kilo\" or \"api.kilo.ai\" in the logs\n2. The exact provider/model configuration used at startup\n3. Any API base URL that was configured\n4. The sequence of events from process start to the AI_JSONParseError\n5. What API endpoint was actually called (the HTTP request URL)\n6. Any environment variables or config that specify the API endpoint\n7. Any references to \"opencode\", \"zen\", \"openrouter\"\n8. The exact error messages and their timestamps\n\nQuote the relevant log lines verbatim. I need to understand the full provider chain from the logs.", | |
| "subagent_type": "Explore" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": "tool_use", | |
| "stop_sequence": null, | |
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| "cache_read_input_tokens": 70449, | |
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| }, | |
| "output_tokens": 967, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": { | |
| "applied_edits": [] | |
| } | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "62537a19-5a64-4e1f-a4f9-c08f17a96ecb" | |
| } | |
| [2026-02-14T11:24:33.259Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": "I need to understand how the agent resolves `--model kimi-k2.5-free` to an actual API endpoint. Search through the codebase at /tmp/gh-issue-solver-1771068195706 for:\n\n1. Provider configuration - how models are configured and resolved\n2. The \"opencode\" provider specifically - how it maps model names to API endpoints\n3. The \"kilo\" provider or any reference to \"kilo.ai\" or \"api.kilo.ai\"\n4. How `kimi-k2.5-free` is resolved to an actual API call\n5. The full provider chain: what code decides which base URL and API key to use\n\nSearch in directories like js/src/provider/, js/src/config/, or anywhere relevant. Read the key files. Provide the full picture of:\n- Which files contain model/provider resolution\n- What the actual model ID mapping looks like (e.g. `kimi-k2.5-free` → what?)\n- What base URL gets used\n- Whether Kilo AI Gateway is involved or not\n\nBe thorough and quote the relevant code sections." | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": "toolu_015s6SWJxH4TEM7qp58d6QsR", | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "cb4b762e-768b-4287-9814-d569b11319eb" | |
| } | |
| [2026-02-14T11:24:33.270Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": "Download and analyze the original log file for issue 169 from the gist URL. The log is at:\nhttps://gist.githubusercontent.com/konard/06e84135c9a4c875b21868695f3043d2/raw/9368328432dfd8bec86931c66800d48e835c1b39/solve-2026-02-14T08-28-31-968Z.log\n\nIt's already been downloaded to /tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/original-log.txt\n\nPlease read that file and search for:\n\n1. Any references to \"kilo\" or \"api.kilo.ai\" in the logs\n2. The exact provider/model configuration used at startup\n3. Any API base URL that was configured\n4. The sequence of events from process start to the AI_JSONParseError\n5. What API endpoint was actually called (the HTTP request URL)\n6. Any environment variables or config that specify the API endpoint\n7. Any references to \"opencode\", \"zen\", \"openrouter\"\n8. The exact error messages and their timestamps\n\nQuote the relevant log lines verbatim. I need to understand the full provider chain from the logs." | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": "toolu_019fizTgnNBJ77MKCxv1vziw", | |
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| "uuid": "4c420836-6a87-4cdf-802e-199db4e42131" | |
| } | |
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| "id": "msg_01ArFmpEmkUkxGYT3hso427V", | |
| "type": "message", | |
| "role": "assistant", | |
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| { | |
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| "id": "toolu_013X3GeVfE5TXVwWR9tQwfmr", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/original-log.txt" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
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| "cache_read_input_tokens": 9287, | |
| "cache_creation": { | |
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| "ephemeral_1h_input_tokens": 5039 | |
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| "output_tokens": 3, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
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| "context_management": null | |
| }, | |
| "parent_tool_use_id": "toolu_019fizTgnNBJ77MKCxv1vziw", | |
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| [2026-02-14T11:24:34.410Z] [INFO] { | |
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| "content": "<tool_use_error>File content (3MB) exceeds maximum allowed size (256KB). Please use offset and limit parameters to read specific portions of the file, or use the GrepTool to search for specific content.</tool_use_error>", | |
| "is_error": true, | |
| "tool_use_id": "toolu_013X3GeVfE5TXVwWR9tQwfmr" | |
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| "uuid": "299280f8-981f-484e-bd16-f9f303ffbedc", | |
| "tool_use_result": "Error: File content (3MB) exceeds maximum allowed size (256KB). Please use offset and limit parameters to read specific portions of the file, or use the GrepTool to search for specific content." | |
| } | |
| [2026-02-14T11:24:34.552Z] [INFO] { | |
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| { | |
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| "id": "toolu_01M7FtJf5mdpY2Evq7t3VA4U", | |
| "name": "Bash", | |
| "input": { | |
| "command": "find /tmp/gh-issue-solver-1771068195706 -type f -name \"*.ts\" -o -name \"*.js\" -o -name \"*.json\" | head -20" | |
| }, | |
| "caller": { | |
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| "content": "/tmp/gh-issue-solver-1771068195706/js/tests/read-image-validation.tools.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/batch.tools.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/system-message.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/plaintext.input.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/mcp.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/write.tools.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/json-standard-unit.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/stream-timeout.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/retry-fetch.test.ts\n/tmp/gh-issue-solver-1771068195706/js/tests/dry-run.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/codesearch.tools.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/list.tools.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/timeout-retry.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/grep.tools.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/google-cloudcode.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/websearch.tools.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/webfetch.tools.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/session-usage.test.ts\n/tmp/gh-issue-solver-1771068195706/js/tests/system-message-file.test.js\n/tmp/gh-issue-solver-1771068195706/js/tests/resume.test.js", | |
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| "name": "Glob", | |
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| "content": " 1→import { Global } from '../global';\n 2→import { Log } from '../util/log';\n 3→import path from 'path';\n 4→import z from 'zod';\n 5→import { data } from './models-macro';\n 6→\n 7→export namespace ModelsDev {\n 8→ const log = Log.create({ service: 'models.dev' });\n 9→ const filepath = path.join(Global.Path.cache, 'models.json');\n 10→\n 11→ export const Model = z\n 12→ .object({\n 13→ id: z.string(),\n 14→ name: z.string(),\n 15→ release_date: z.string(),\n 16→ attachment: z.boolean(),\n 17→ reasoning: z.boolean(),\n 18→ temperature: z.boolean(),\n 19→ tool_call: z.boolean(),\n 20→ cost: z.object({\n 21→ input: z.number(),\n 22→ output: z.number(),\n 23→ cache_read: z.number().optional(),\n 24→ cache_write: z.number().optional(),\n 25→ context_over_200k: z\n 26→ .object({\n 27→ input: z.number(),\n 28→ output: z.number(),\n 29→ cache_read: z.number().optional(),\n 30→ cache_write: z.number().optional(),\n 31→ })\n 32→ .optional(),\n 33→ }),\n 34→ limit: z.object({\n 35→ context: z.number(),\n 36→ output: z.number(),\n 37→ }),\n 38→ modalities: z\n 39→ .object({\n 40→ input: z.array(z.enum(['text', 'audio', 'image', 'video', 'pdf'])),\n 41→ output: z.array(z.enum(['text', 'audio', 'image', 'video', 'pdf'])),\n 42→ })\n 43→ .optional(),\n 44→ experimental: z.boolean().optional(),\n 45→ status: z.enum(['alpha', 'beta', 'deprecated']).optional(),\n 46→ options: z.record(z.string(), z.any()),\n 47→ headers: z.record(z.string(), z.string()).optional(),\n 48→ provider: z.object({ npm: z.string() }).optional(),\n 49→ })\n 50→ .meta({\n 51→ ref: 'Model',\n 52→ });\n 53→ export type Model = z.infer<typeof Model>;\n 54→\n 55→ export const Provider = z\n 56→ .object({\n 57→ api: z.string().optional(),\n 58→ name: z.string(),\n 59→ env: z.array(z.string()),\n 60→ id: z.string(),\n 61→ npm: z.string().optional(),\n 62→ models: z.record(z.string(), Model),\n 63→ })\n 64→ .meta({\n 65→ ref: 'Provider',\n 66→ });\n 67→\n 68→ export type Provider = z.infer<typeof Provider>;\n 69→\n 70→ export async function get() {\n 71→ refresh();\n 72→ const file = Bun.file(filepath);\n 73→ const result = await file.json().catch(() => {});\n 74→ if (result) return result as Record<string, Provider>;\n 75→ const json = await data();\n 76→ return JSON.parse(json) as Record<string, Provider>;\n 77→ }\n 78→\n 79→ export async function refresh() {\n 80→ const file = Bun.file(filepath);\n 81→ log.info(() => ({ message: 'refreshing', file }));\n 82→ const result = await fetch('https://models.dev/api.json', {\n 83→ headers: {\n 84→ 'User-Agent': 'agent-cli/1.0.0',\n 85→ },\n 86→ signal: AbortSignal.timeout(10 * 1000),\n 87→ }).catch((e) => {\n 88→ log.error(() => ({\n 89→ message: 'Failed to fetch models.dev',\n 90→ error: e,\n 91→ }));\n 92→ });\n 93→ if (result && result.ok) await Bun.write(file, await result.text());\n 94→ }\n 95→}\n 96→\n 97→setInterval(() => ModelsDev.refresh(), 60 * 1000 * 60).unref();\n 98→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": " 1→import z from 'zod';\n 2→import path from 'path';\n 3→import { Config } from '../config/config';\n 4→import { mergeDeep, sortBy } from 'remeda';\n 5→import { NoSuchModelError, type LanguageModel, type Provider as SDK } from 'ai';\n 6→import { Log } from '../util/log';\n 7→import { BunProc } from '../bun';\n 8→import { ModelsDev } from './models';\n 9→import { NamedError } from '../util/error';\n 10→import { Auth } from '../auth';\n 11→import { ClaudeOAuth } from '../auth/claude-oauth';\n 12→import { AuthPlugins } from '../auth/plugins';\n 13→import { Instance } from '../project/instance';\n 14→import { Global } from '../global';\n 15→import { Flag } from '../flag/flag';\n 16→import { iife } from '../util/iife';\n 17→import { createEchoModel } from './echo';\n 18→import { createCacheModel } from './cache';\n 19→import { RetryFetch } from './retry-fetch';\n 20→\n 21→export namespace Provider {\n 22→ const log = Log.create({ service: 'provider' });\n 23→\n 24→ type CustomLoader = (provider: ModelsDev.Provider) => Promise<{\n 25→ autoload: boolean;\n 26→ getModel?: (\n 27→ sdk: any,\n 28→ modelID: string,\n 29→ options?: Record<string, any>\n 30→ ) => Promise<any>;\n 31→ options?: Record<string, any>;\n 32→ }>;\n 33→\n 34→ type Source = 'env' | 'config' | 'custom' | 'api';\n 35→\n 36→ const CUSTOM_LOADERS: Record<string, CustomLoader> = {\n 37→ async anthropic(input) {\n 38→ // Check if OAuth credentials are available via the auth plugin\n 39→ const auth = await Auth.get('anthropic');\n 40→ if (auth?.type === 'oauth') {\n 41→ log.info(() => ({ message: 'using anthropic oauth credentials' }));\n 42→ const loaderFn = await AuthPlugins.getLoader('anthropic');\n 43→ if (loaderFn) {\n 44→ const result = await loaderFn(() => Auth.get('anthropic'), input);\n 45→ if (result.fetch) {\n 46→ return {\n 47→ autoload: true,\n 48→ options: {\n 49→ apiKey: result.apiKey || '',\n 50→ fetch: result.fetch,\n 51→ headers: {\n 52→ 'anthropic-beta':\n 53→ 'oauth-2025-04-20,claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n 54→ },\n 55→ },\n 56→ };\n 57→ }\n 58→ }\n 59→ }\n 60→ // Default: API key auth\n 61→ return {\n 62→ autoload: false,\n 63→ options: {\n 64→ headers: {\n 65→ 'anthropic-beta':\n 66→ 'claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n 67→ },\n 68→ },\n 69→ };\n 70→ },\n 71→ async opencode(input) {\n 72→ const hasKey = await (async () => {\n 73→ if (input.env.some((item) => process.env[item])) return true;\n 74→ if (await Auth.get(input.id)) return true;\n 75→ return false;\n 76→ })();\n 77→\n 78→ if (!hasKey) {\n 79→ for (const [key, value] of Object.entries(input.models)) {\n 80→ if (value.cost.input === 0) continue;\n 81→ delete input.models[key];\n 82→ }\n 83→ }\n 84→\n 85→ return {\n 86→ autoload: Object.keys(input.models).length > 0,\n 87→ options: hasKey ? {} : { apiKey: 'public' },\n 88→ };\n 89→ },\n 90→ openai: async () => {\n 91→ return {\n 92→ autoload: false,\n 93→ async getModel(\n 94→ sdk: any,\n 95→ modelID: string,\n 96→ _options?: Record<string, any>\n 97→ ) {\n 98→ return sdk.responses(modelID);\n 99→ },\n 100→ options: {},\n 101→ };\n 102→ },\n 103→ azure: async () => {\n 104→ return {\n 105→ autoload: false,\n 106→ async getModel(\n 107→ sdk: any,\n 108→ modelID: string,\n 109→ options?: Record<string, any>\n 110→ ) {\n 111→ if (options?.['useCompletionUrls']) {\n 112→ return sdk.chat(modelID);\n 113→ } else {\n 114→ return sdk.responses(modelID);\n 115→ }\n 116→ },\n 117→ options: {},\n 118→ };\n 119→ },\n 120→ 'azure-cognitive-services': async () => {\n 121→ const resourceName =\n 122→ process.env['AZURE_COGNITIVE_SERVICES_RESOURCE_NAME'];\n 123→ return {\n 124→ autoload: false,\n 125→ async getModel(\n 126→ sdk: any,\n 127→ modelID: string,\n 128→ options?: Record<string, any>\n 129→ ) {\n 130→ if (options?.['useCompletionUrls']) {\n 131→ return sdk.chat(modelID);\n 132→ } else {\n 133→ return sdk.responses(modelID);\n 134→ }\n 135→ },\n 136→ options: {\n 137→ baseURL: resourceName\n 138→ ? `https://${resourceName}.cognitiveservices.azure.com/openai`\n 139→ : undefined,\n 140→ },\n 141→ };\n 142→ },\n 143→ 'amazon-bedrock': async () => {\n 144→ if (\n 145→ !process.env['AWS_PROFILE'] &&\n 146→ !process.env['AWS_ACCESS_KEY_ID'] &&\n 147→ !process.env['AWS_BEARER_TOKEN_BEDROCK']\n 148→ )\n 149→ return { autoload: false };\n 150→\n 151→ const region = process.env['AWS_REGION'] ?? 'us-east-1';\n 152→\n 153→ const { fromNodeProviderChain } = await import(\n 154→ await BunProc.install('@aws-sdk/credential-providers')\n 155→ );\n 156→ return {\n 157→ autoload: true,\n 158→ options: {\n 159→ region,\n 160→ credentialProvider: fromNodeProviderChain(),\n 161→ },\n 162→ async getModel(\n 163→ sdk: any,\n 164→ modelID: string,\n 165→ _options?: Record<string, any>\n 166→ ) {\n 167→ let regionPrefix = region.split('-')[0];\n 168→\n 169→ switch (regionPrefix) {\n 170→ case 'us': {\n 171→ const modelRequiresPrefix = [\n 172→ 'nova-micro',\n 173→ 'nova-lite',\n 174→ 'nova-pro',\n 175→ 'nova-premier',\n 176→ 'claude',\n 177→ 'deepseek',\n 178→ ].some((m) => modelID.includes(m));\n 179→ const isGovCloud = region.startsWith('us-gov');\n 180→ if (modelRequiresPrefix && !isGovCloud) {\n 181→ modelID = `${regionPrefix}.${modelID}`;\n 182→ }\n 183→ break;\n 184→ }\n 185→ case 'eu': {\n 186→ const regionRequiresPrefix = [\n 187→ 'eu-west-1',\n 188→ 'eu-west-2',\n 189→ 'eu-west-3',\n 190→ 'eu-north-1',\n 191→ 'eu-central-1',\n 192→ 'eu-south-1',\n 193→ 'eu-south-2',\n 194→ ].some((r) => region.includes(r));\n 195→ const modelRequiresPrefix = [\n 196→ 'claude',\n 197→ 'nova-lite',\n 198→ 'nova-micro',\n 199→ 'llama3',\n 200→ 'pixtral',\n 201→ ].some((m) => modelID.includes(m));\n 202→ if (regionRequiresPrefix && modelRequiresPrefix) {\n 203→ modelID = `${regionPrefix}.${modelID}`;\n 204→ }\n 205→ break;\n 206→ }\n 207→ case 'ap': {\n 208→ const isAustraliaRegion = [\n 209→ 'ap-southeast-2',\n 210→ 'ap-southeast-4',\n 211→ ].includes(region);\n 212→ if (\n 213→ isAustraliaRegion &&\n 214→ ['anthropic.claude-sonnet-4-5', 'anthropic.claude-haiku'].some(\n 215→ (m) => modelID.includes(m)\n 216→ )\n 217→ ) {\n 218→ regionPrefix = 'au';\n 219→ modelID = `${regionPrefix}.${modelID}`;\n 220→ } else {\n 221→ const modelRequiresPrefix = [\n 222→ 'claude',\n 223→ 'nova-lite',\n 224→ 'nova-micro',\n 225→ 'nova-pro',\n 226→ ].some((m) => modelID.includes(m));\n 227→ if (modelRequiresPrefix) {\n 228→ regionPrefix = 'apac';\n 229→ modelID = `${regionPrefix}.${modelID}`;\n 230→ }\n 231→ }\n 232→ break;\n 233→ }\n 234→ }\n 235→\n 236→ return sdk.languageModel(modelID);\n 237→ },\n 238→ };\n 239→ },\n 240→ openrouter: async () => {\n 241→ return {\n 242→ autoload: false,\n 243→ options: {\n 244→ headers: {\n 245→ 'HTTP-Referer': 'https://opencode.ai/',\n 246→ 'X-Title': 'opencode',\n 247→ },\n 248→ },\n 249→ };\n 250→ },\n 251→ vercel: async () => {\n 252→ return {\n 253→ autoload: false,\n 254→ options: {\n 255→ headers: {\n 256→ 'http-referer': 'https://opencode.ai/',\n 257→ 'x-title': 'opencode',\n 258→ },\n 259→ },\n 260→ };\n 261→ },\n 262→ 'google-vertex': async () => {\n 263→ const project =\n 264→ process.env['GOOGLE_CLOUD_PROJECT'] ??\n 265→ process.env['GCP_PROJECT'] ??\n 266→ process.env['GCLOUD_PROJECT'];\n 267→ const location =\n 268→ process.env['GOOGLE_CLOUD_LOCATION'] ??\n 269→ process.env['VERTEX_LOCATION'] ??\n 270→ 'us-east5';\n 271→ const autoload = Boolean(project);\n 272→ if (!autoload) return { autoload: false };\n 273→ return {\n 274→ autoload: true,\n 275→ options: {\n 276→ project,\n 277→ location,\n 278→ },\n 279→ async getModel(sdk: any, modelID: string) {\n 280→ const id = String(modelID).trim();\n 281→ return sdk.languageModel(id);\n 282→ },\n 283→ };\n 284→ },\n 285→ 'google-vertex-anthropic': async () => {\n 286→ const project =\n 287→ process.env['GOOGLE_CLOUD_PROJECT'] ??\n 288→ process.env['GCP_PROJECT'] ??\n 289→ process.env['GCLOUD_PROJECT'];\n 290→ const location =\n 291→ process.env['GOOGLE_CLOUD_LOCATION'] ??\n 292→ process.env['VERTEX_LOCATION'] ??\n 293→ 'global';\n 294→ const autoload = Boolean(project);\n 295→ if (!autoload) return { autoload: false };\n 296→ return {\n 297→ autoload: true,\n 298→ options: {\n 299→ project,\n 300→ location,\n 301→ },\n 302→ async getModel(sdk: any, modelID: string) {\n 303→ const id = String(modelID).trim();\n 304→ return sdk.languageModel(id);\n 305→ },\n 306→ };\n 307→ },\n 308→ zenmux: async () => {\n 309→ return {\n 310→ autoload: false,\n 311→ options: {\n 312→ headers: {\n 313→ 'HTTP-Referer': 'https://opencode.ai/',\n 314→ 'X-Title': 'opencode',\n 315→ },\n 316→ },\n 317→ };\n 318→ },\n 319→ groq: async () => {\n 320→ return {\n 321→ autoload: false,\n 322→ options: {},\n 323→ };\n 324→ },\n 325→ /**\n 326→ * Kilo provider - access to 500+ AI models through Kilo Gateway\n 327→ * Uses OpenAI-compatible API at https://api.kilo.ai/api/gateway\n 328→ *\n 329→ * Free models available without API key (using 'public' key):\n 330→ * - GLM-5 (z-ai/glm-5) - Free limited time, flagship Z.AI model\n 331→ * - GLM 4.7 (z-ai/glm-4.7:free) - Free, agent-centric model\n 332→ * - Kimi K2.5 (moonshot/kimi-k2.5:free) - Free, agentic capabilities\n 333→ * - MiniMax M2.1 (minimax/m2.1:free) - Free, general-purpose\n 334→ * - Giga Potato (giga-potato:free) - Free evaluation model\n 335→ *\n 336→ * For paid models, set KILO_API_KEY environment variable\n 337→ *\n 338→ * @see https://kilo.ai/docs/gateway\n 339→ * @see https://kilo.ai/docs/advanced-usage/free-and-budget-models\n 340→ */\n 341→ kilo: async (input) => {\n 342→ const hasKey = await (async () => {\n 343→ if (input.env.some((item) => process.env[item])) return true;\n 344→ if (await Auth.get(input.id)) return true;\n 345→ return false;\n 346→ })();\n 347→\n 348→ // For free models, we can use 'public' as the API key\n 349→ // For paid models, user needs to set KILO_API_KEY\n 350→ if (!hasKey) {\n 351→ for (const [key, value] of Object.entries(input.models)) {\n 352→ // Keep only free models (cost.input === 0) when no API key\n 353→ if (value.cost.input === 0) continue;\n 354→ delete input.models[key];\n 355→ }\n 356→ }\n 357→\n 358→ return {\n 359→ autoload: Object.keys(input.models).length > 0,\n 360→ options: hasKey\n 361→ ? {}\n 362→ : {\n 363→ apiKey: 'public',\n 364→ },\n 365→ };\n 366→ },\n 367→ /**\n 368→ * Qwen Coder OAuth provider for Qwen subscription users\n 369→ * Uses OAuth credentials from agent auth login (Qwen Coder Subscription)\n 370→ *\n 371→ * To authenticate, run: agent auth login (select Qwen Coder)\n 372→ */\n 373→ 'qwen-coder': async (input) => {\n 374→ const auth = await Auth.get('qwen-coder');\n 375→ if (auth?.type === 'oauth') {\n 376→ log.info(() => ({\n 377→ message: 'using qwen-coder oauth credentials',\n 378→ }));\n 379→ const loaderFn = await AuthPlugins.getLoader('qwen-coder');\n 380→ if (loaderFn) {\n 381→ const result = await loaderFn(() => Auth.get('qwen-coder'), input);\n 382→ if (result.fetch) {\n 383→ return {\n 384→ autoload: true,\n 385→ options: {\n 386→ apiKey: result.apiKey || '',\n 387→ baseURL: result.baseURL,\n 388→ fetch: result.fetch,\n 389→ },\n 390→ };\n 391→ }\n 392→ }\n 393→ }\n 394→ // Default: not auto-loaded without OAuth\n 395→ return { autoload: false };\n 396→ },\n 397→ /**\n 398→ * Alibaba OAuth provider (alias for Qwen Coder)\n 399→ * Uses OAuth credentials from agent auth login (Alibaba / Qwen Coder Subscription)\n 400→ *\n 401→ * To authenticate, run: agent auth login (select Alibaba)\n 402→ */\n 403→ alibaba: async (input) => {\n 404→ const auth = await Auth.get('alibaba');\n 405→ if (auth?.type === 'oauth') {\n 406→ log.info(() => ({\n 407→ message: 'using alibaba oauth credentials',\n 408→ }));\n 409→ const loaderFn = await AuthPlugins.getLoader('alibaba');\n 410→ if (loaderFn) {\n 411→ const result = await loaderFn(() => Auth.get('alibaba'), input);\n 412→ if (result.fetch) {\n 413→ return {\n 414→ autoload: true,\n 415→ options: {\n 416→ apiKey: result.apiKey || '',\n 417→ baseURL: result.baseURL,\n 418→ fetch: result.fetch,\n 419→ },\n 420→ };\n 421→ }\n 422→ }\n 423→ }\n 424→ // Default: not auto-loaded without OAuth\n 425→ return { autoload: false };\n 426→ },\n 427→ /**\n 428→ * Google OAuth provider for Gemini subscription users\n 429→ * Uses OAuth credentials from agent auth login (Google AI Pro/Ultra)\n 430→ *\n 431→ * To authenticate, run: agent auth google\n 432→ */\n 433→ google: async (input) => {\n 434→ const auth = await Auth.get('google');\n 435→ if (auth?.type === 'oauth') {\n 436→ log.info(() => ({ message: 'using google oauth credentials' }));\n 437→ const loaderFn = await AuthPlugins.getLoader('google');\n 438→ if (loaderFn) {\n 439→ const result = await loaderFn(() => Auth.get('google'), input);\n 440→ if (result.fetch) {\n 441→ return {\n 442→ autoload: true,\n 443→ options: {\n 444→ apiKey: result.apiKey || '',\n 445→ fetch: result.fetch,\n 446→ },\n 447→ };\n 448→ }\n 449→ }\n 450→ }\n 451→ // Default: API key auth (no OAuth credentials found)\n 452→ return { autoload: false };\n 453→ },\n 454→ /**\n 455→ * GitHub Copilot OAuth provider\n 456→ * Uses OAuth credentials from agent auth login\n 457→ */\n 458→ 'github-copilot': async (input) => {\n 459→ const auth = await Auth.get('github-copilot');\n 460→ if (auth?.type === 'oauth') {\n 461→ log.info(() => ({\n 462→ message: 'using github copilot oauth credentials',\n 463→ }));\n 464→ const loaderFn = await AuthPlugins.getLoader('github-copilot');\n 465→ if (loaderFn) {\n 466→ const result = await loaderFn(\n 467→ () => Auth.get('github-copilot'),\n 468→ input\n 469→ );\n 470→ if (result.fetch) {\n 471→ return {\n 472→ autoload: true,\n 473→ options: {\n 474→ apiKey: result.apiKey || '',\n 475→ baseURL: result.baseURL,\n 476→ fetch: result.fetch,\n 477→ },\n 478→ };\n 479→ }\n 480→ }\n 481→ }\n 482→ return { autoload: false };\n 483→ },\n 484→ /**\n 485→ * GitHub Copilot Enterprise OAuth provider\n 486→ * Uses OAuth credentials from agent auth login with enterprise URL\n 487→ */\n 488→ 'github-copilot-enterprise': async (input) => {\n 489→ const auth = await Auth.get('github-copilot-enterprise');\n 490→ if (auth?.type === 'oauth') {\n 491→ log.info(() => ({\n 492→ message: 'using github copilot enterprise oauth credentials',\n 493→ }));\n 494→ const loaderFn = await AuthPlugins.getLoader('github-copilot');\n 495→ if (loaderFn) {\n 496→ const result = await loaderFn(\n 497→ () => Auth.get('github-copilot-enterprise'),\n 498→ input\n 499→ );\n 500→ if (result.fetch) {\n 501→ return {\n 502→ autoload: true,\n 503→ options: {\n 504→ apiKey: result.apiKey || '',\n 505→ baseURL: result.baseURL,\n 506→ fetch: result.fetch,\n 507→ },\n 508→ };\n 509→ }\n 510→ }\n 511→ }\n 512→ return { autoload: false };\n 513→ },\n 514→ /**\n 515→ * Claude OAuth provider - uses Claude OAuth credentials to access\n 516→ * Anthropic models via the Claude API.\n 517→ *\n 518→ * This provider supports two methods:\n 519→ * 1. Environment variable: CLAUDE_CODE_OAUTH_TOKEN\n 520→ * 2. Credentials file: ~/.claude/.credentials.json (from Claude Code CLI or our auth command)\n 521→ *\n 522→ * OAuth tokens use Bearer authentication (Authorization header)\n 523→ * instead of x-api-key authentication used by standard API keys.\n 524→ *\n 525→ * To authenticate, run: agent auth claude\n 526→ */\n 527→ 'claude-oauth': async (input) => {\n 528→ // Check for OAuth token from environment variable first\n 529→ let oauthToken = process.env['CLAUDE_CODE_OAUTH_TOKEN'];\n 530→ let tokenSource = 'environment';\n 531→\n 532→ if (!oauthToken) {\n 533→ // Check for OAuth credentials from credentials file\n 534→ const claudeCreds = await ClaudeOAuth.getCredentials();\n 535→ if (claudeCreds) {\n 536→ oauthToken = claudeCreds.accessToken;\n 537→ tokenSource = `credentials file (${claudeCreds.subscriptionType ?? 'unknown'})`;\n 538→ }\n 539→ }\n 540→\n 541→ if (!oauthToken) {\n 542→ return { autoload: false };\n 543→ }\n 544→\n 545→ log.info(() => ({\n 546→ message: 'using claude oauth credentials',\n 547→ source: tokenSource,\n 548→ }));\n 549→\n 550→ // Create authenticated fetch with Bearer token and OAuth beta header\n 551→ const customFetch = ClaudeOAuth.createAuthenticatedFetch(oauthToken);\n 552→\n 553→ return {\n 554→ autoload: true,\n 555→ options: {\n 556→ // Use a placeholder key to satisfy the SDK's API key requirement\n 557→ // The actual authentication is done via Bearer token in customFetch\n 558→ apiKey: 'oauth-token-placeholder',\n 559→ fetch: customFetch,\n 560→ headers: {\n 561→ 'anthropic-beta':\n 562→ 'oauth-2025-04-20,claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n 563→ },\n 564→ },\n 565→ };\n 566→ },\n 567→ /**\n 568→ * Echo provider - synthetic provider for dry-run testing\n 569→ * Echoes back the user's input without making actual API calls.\n 570→ *\n 571→ * This provider is automatically enabled when --dry-run mode is active.\n 572→ * It can also be used explicitly with: --model link-assistant/echo\n 573→ *\n 574→ * @see https://github.com/link-assistant/agent/issues/89\n 575→ */\n 576→ 'link-assistant': async () => {\n 577→ // Echo provider is always available - no external dependencies needed\n 578→ return {\n 579→ autoload: Flag.OPENCODE_DRY_RUN, // Auto-load only in dry-run mode\n 580→ async getModel(_sdk: any, modelID: string) {\n 581→ // Return our custom echo model that implements LanguageModelV1\n 582→ return createEchoModel(modelID);\n 583→ },\n 584→ options: {},\n 585→ };\n 586→ },\n 587→ /**\n 588→ * Cache provider - synthetic provider for caching API responses\n 589→ * Caches responses using links notation for deterministic testing.\n 590→ *\n 591→ * This provider caches API responses and falls back to echo behavior.\n 592→ * It can be used explicitly with: --model link-assistant/cache/opencode/grok-code\n 593→ *\n 594→ * @see https://github.com/link-assistant/agent/issues/89\n 595→ */\n 596→ 'link-assistant/cache': async () => {\n 597→ // Cache provider is always available - no external dependencies needed\n 598→ return {\n 599→ autoload: false, // Not auto-loaded\n 600→ async getModel(_sdk: any, modelID: string) {\n 601→ // modelID should be in format \"provider/model\" like \"opencode/grok-code\"\n 602→ const parts = modelID.split('/');\n 603→ if (parts.length < 2) {\n 604→ throw new Error(\n 605→ `Invalid cache model ID: ${modelID}. Expected format: provider/model`\n 606→ );\n 607→ }\n 608→ const [providerId, ...modelParts] = parts;\n 609→ const actualModelId = modelParts.join('/');\n 610→\n 611→ // Return our custom cache model that implements LanguageModelV1\n 612→ return createCacheModel(providerId, actualModelId);\n 613→ },\n 614→ options: {},\n 615→ };\n 616→ },\n 617→ };\n 618→\n 619→ const state = Instance.state(async () => {\n 620→ using _ = log.time('state');\n 621→ const config = await Config.get();\n 622→ const database = await ModelsDev.get();\n 623→\n 624→ const providers: {\n 625→ [providerID: string]: {\n 626→ source: Source;\n 627→ info: ModelsDev.Provider;\n 628→ getModel?: (\n 629→ sdk: any,\n 630→ modelID: string,\n 631→ options?: Record<string, any>\n 632→ ) => Promise<any>;\n 633→ options: Record<string, any>;\n 634→ };\n 635→ } = {};\n 636→ const models = new Map<\n 637→ string,\n 638→ {\n 639→ providerID: string;\n 640→ modelID: string;\n 641→ info: ModelsDev.Model;\n 642→ language: LanguageModel;\n 643→ npm?: string;\n 644→ }\n 645→ >();\n 646→ const sdk = new Map<number, SDK>();\n 647→ // Maps `${provider}/${key}` to the provider’s actual model ID for custom aliases.\n 648→ const realIdByKey = new Map<string, string>();\n 649→\n 650→ log.info(() => ({ message: 'init' }));\n 651→\n 652→ function mergeProvider(\n 653→ id: string,\n 654→ options: Record<string, any>,\n 655→ source: Source,\n 656→ getModel?: (\n 657→ sdk: any,\n 658→ modelID: string,\n 659→ options?: Record<string, any>\n 660→ ) => Promise<any>\n 661→ ) {\n 662→ const provider = providers[id];\n 663→ if (!provider) {\n 664→ const info = database[id];\n 665→ if (!info) return;\n 666→ if (info.api && !options['baseURL']) options['baseURL'] = info.api;\n 667→ providers[id] = {\n 668→ source,\n 669→ info,\n 670→ options,\n 671→ getModel,\n 672→ };\n 673→ return;\n 674→ }\n 675→ provider.options = mergeDeep(provider.options, options);\n 676→ provider.source = source;\n 677→ provider.getModel = getModel ?? provider.getModel;\n 678→ }\n 679→\n 680→ const configProviders = Object.entries(config.provider ?? {});\n 681→\n 682→ // Add GitHub Copilot Enterprise provider that inherits from GitHub Copilot\n 683→ if (database['github-copilot']) {\n 684→ const githubCopilot = database['github-copilot'];\n 685→ database['github-copilot-enterprise'] = {\n 686→ ...githubCopilot,\n 687→ id: 'github-copilot-enterprise',\n 688→ name: 'GitHub Copilot Enterprise',\n 689→ // Enterprise uses a different API endpoint - will be set dynamically based on auth\n 690→ api: undefined,\n 691→ };\n 692→ }\n 693→\n 694→ // Add Claude OAuth provider that inherits from Anthropic\n 695→ // This allows using Claude Code CLI OAuth credentials with the Anthropic API\n 696→ if (database['anthropic']) {\n 697→ const anthropic = database['anthropic'];\n 698→ database['claude-oauth'] = {\n 699→ ...anthropic,\n 700→ id: 'claude-oauth',\n 701→ name: 'Claude OAuth',\n 702→ // Use CLAUDE_CODE_OAUTH_TOKEN environment variable\n 703→ env: ['CLAUDE_CODE_OAUTH_TOKEN'],\n 704→ };\n 705→ }\n 706→\n 707→ // Add gemini-3-pro alias for google provider\n 708→ // The actual model in Google's API is gemini-3-pro-preview, but we add gemini-3-pro as an alias for convenience\n 709→ if (database['google']?.models['gemini-3-pro-preview']) {\n 710→ const gemini3ProPreview =\n 711→ database['google'].models['gemini-3-pro-preview'];\n 712→ database['google'].models['gemini-3-pro'] = {\n 713→ ...gemini3ProPreview,\n 714→ id: 'gemini-3-pro-preview',\n 715→ name: 'Gemini 3 Pro',\n 716→ };\n 717→ realIdByKey.set('google/gemini-3-pro', 'gemini-3-pro-preview');\n 718→ }\n 719→\n 720→ // Add link-assistant echo provider for dry-run testing\n 721→ // This synthetic provider echoes back user input without API calls\n 722→ // @see https://github.com/link-assistant/agent/issues/89\n 723→ database['link-assistant'] = {\n 724→ id: 'link-assistant',\n 725→ name: 'Link Assistant (Echo)',\n 726→ env: [], // No environment variables needed - synthetic provider\n 727→ models: {\n 728→ echo: {\n 729→ id: 'echo',\n 730→ name: 'Echo Model',\n 731→ release_date: '2024-01-01',\n 732→ attachment: false,\n 733→ reasoning: false,\n 734→ temperature: false,\n 735→ tool_call: true,\n 736→ cost: {\n 737→ input: 0,\n 738→ output: 0,\n 739→ cache_read: 0,\n 740→ cache_write: 0,\n 741→ },\n 742→ limit: {\n 743→ context: 1000000, // Virtually unlimited\n 744→ output: 100000,\n 745→ },\n 746→ modalities: {\n 747→ input: ['text'],\n 748→ output: ['text'],\n 749→ },\n 750→ options: {},\n 751→ },\n 752→ },\n 753→ };\n 754→\n 755→ // Add link-assistant/cache provider for caching API responses\n 756→ // This synthetic provider caches responses and falls back to echo\n 757→ // @see https://github.com/link-assistant/agent/issues/89\n 758→ database['link-assistant/cache'] = {\n 759→ id: 'link-assistant/cache',\n 760→ name: 'Link Assistant (Cache)',\n 761→ env: [], // No environment variables needed - synthetic provider\n 762→ models: {}, // Models are dynamically created based on the provider/model syntax\n 763→ };\n 764→\n 765→ // Add Kilo provider for access to 500+ AI models through Kilo Gateway\n 766→ // Free models available: GLM-5, GLM 4.7, Kimi K2.5, MiniMax M2.1, Giga Potato\n 767→ // @see https://kilo.ai/docs/gateway\n 768→ // @see https://github.com/link-assistant/agent/issues/159\n 769→ database['kilo'] = {\n 770→ id: 'kilo',\n 771→ name: 'Kilo Gateway',\n 772→ npm: '@ai-sdk/openai-compatible',\n 773→ api: 'https://api.kilo.ai/api/gateway',\n 774→ env: ['KILO_API_KEY'],\n 775→ models: {\n 776→ // GLM-5 - Flagship Z.AI model, free for limited time\n 777→ 'glm-5-free': {\n 778→ id: 'z-ai/glm-5',\n 779→ name: 'GLM-5 (Free)',\n 780→ release_date: '2026-02-11',\n 781→ attachment: false,\n 782→ reasoning: true,\n 783→ temperature: true,\n 784→ tool_call: true,\n 785→ cost: {\n 786→ input: 0,\n 787→ output: 0,\n 788→ cache_read: 0,\n 789→ cache_write: 0,\n 790→ },\n 791→ limit: {\n 792→ context: 202752,\n 793→ output: 131072,\n 794→ },\n 795→ modalities: {\n 796→ input: ['text'],\n 797→ output: ['text'],\n 798→ },\n 799→ options: {},\n 800→ },\n 801→ // GLM 4.7 - Agent-centric model, free\n 802→ 'glm-4.7-free': {\n 803→ id: 'z-ai/glm-4.7:free',\n 804→ name: 'GLM 4.7 (Free)',\n 805→ release_date: '2026-01-15',\n 806→ attachment: false,\n 807→ reasoning: true,\n 808→ temperature: true,\n 809→ tool_call: true,\n 810→ cost: {\n 811→ input: 0,\n 812→ output: 0,\n 813→ cache_read: 0,\n 814→ cache_write: 0,\n 815→ },\n 816→ limit: {\n 817→ context: 131072,\n 818→ output: 65536,\n 819→ },\n 820→ modalities: {\n 821→ input: ['text'],\n 822→ output: ['text'],\n 823→ },\n 824→ options: {},\n 825→ },\n 826→ // Kimi K2.5 - Agentic capabilities, free\n 827→ 'kimi-k2.5-free': {\n 828→ id: 'moonshot/kimi-k2.5:free',\n 829→ name: 'Kimi K2.5 (Free)',\n 830→ release_date: '2025-12-01',\n 831→ attachment: false,\n 832→ reasoning: false,\n 833→ temperature: true,\n 834→ tool_call: true,\n 835→ cost: {\n 836→ input: 0,\n 837→ output: 0,\n 838→ cache_read: 0,\n 839→ cache_write: 0,\n 840→ },\n 841→ limit: {\n 842→ context: 131072,\n 843→ output: 65536,\n 844→ },\n 845→ modalities: {\n 846→ input: ['text'],\n 847→ output: ['text'],\n 848→ },\n 849→ options: {},\n 850→ },\n 851→ // MiniMax M2.1 - General-purpose, free\n 852→ 'minimax-m2.1-free': {\n 853→ id: 'minimax/m2.1:free',\n 854→ name: 'MiniMax M2.1 (Free)',\n 855→ release_date: '2025-11-01',\n 856→ attachment: false,\n 857→ reasoning: false,\n 858→ temperature: true,\n 859→ tool_call: true,\n 860→ cost: {\n 861→ input: 0,\n 862→ output: 0,\n 863→ cache_read: 0,\n 864→ cache_write: 0,\n 865→ },\n 866→ limit: {\n 867→ context: 131072,\n 868→ output: 65536,\n 869→ },\n 870→ modalities: {\n 871→ input: ['text'],\n 872→ output: ['text'],\n 873→ },\n 874→ options: {},\n 875→ },\n 876→ // Giga Potato - Free evaluation model\n 877→ 'giga-potato-free': {\n 878→ id: 'giga-potato:free',\n 879→ name: 'Giga Potato (Free)',\n 880→ release_date: '2026-01-01',\n 881→ attachment: false,\n 882→ reasoning: false,\n 883→ temperature: true,\n 884→ tool_call: true,\n 885→ cost: {\n 886→ input: 0,\n 887→ output: 0,\n 888→ cache_read: 0,\n 889→ cache_write: 0,\n 890→ },\n 891→ limit: {\n 892→ context: 65536,\n 893→ output: 32768,\n 894→ },\n 895→ modalities: {\n 896→ input: ['text'],\n 897→ output: ['text'],\n 898→ },\n 899→ options: {},\n 900→ },\n 901→ // Trinity Large Preview - Preview model from Arcee AI\n 902→ 'trinity-large-preview': {\n 903→ id: 'arcee/trinity-large-preview',\n 904→ name: 'Trinity Large Preview (Free)',\n 905→ release_date: '2026-01-01',\n 906→ attachment: false,\n 907→ reasoning: false,\n 908→ temperature: true,\n 909→ tool_call: true,\n 910→ cost: {\n 911→ input: 0,\n 912→ output: 0,\n 913→ cache_read: 0,\n 914→ cache_write: 0,\n 915→ },\n 916→ limit: {\n 917→ context: 65536,\n 918→ output: 32768,\n 919→ },\n 920→ modalities: {\n 921→ input: ['text'],\n 922→ output: ['text'],\n 923→ },\n 924→ options: {},\n 925→ },\n 926→ },\n 927→ };\n 928→\n 929→ for (const [providerID, provider] of configProviders) {\n 930→ const existing = database[providerID];\n 931→ const parsed: ModelsDev.Provider = {\n 932→ id: providerID,\n 933→ npm: provider.npm ?? existing?.npm,\n 934→ name: provider.name ?? existing?.name ?? providerID,\n 935→ env: provider.env ?? existing?.env ?? [],\n 936→ api: provider.api ?? existing?.api,\n 937→ models: existing?.models ?? {},\n 938→ };\n 939→\n 940→ for (const [modelID, model] of Object.entries(provider.models ?? {})) {\n 941→ const existing = parsed.models[model.id ?? modelID];\n 942→ const name = iife(() => {\n 943→ if (model.name) return model.name;\n 944→ if (model.id && model.id !== modelID) return modelID;\n 945→ return existing?.name ?? modelID;\n 946→ });\n 947→ const parsedModel: ModelsDev.Model = {\n 948→ id: modelID,\n 949→ name,\n 950→ release_date: model.release_date ?? existing?.release_date,\n 951→ attachment: model.attachment ?? existing?.attachment ?? false,\n 952→ reasoning: model.reasoning ?? existing?.reasoning ?? false,\n 953→ temperature: model.temperature ?? existing?.temperature ?? false,\n 954→ tool_call: model.tool_call ?? existing?.tool_call ?? true,\n 955→ cost:\n 956→ !model.cost && !existing?.cost\n 957→ ? {\n 958→ input: 0,\n 959→ output: 0,\n 960→ cache_read: 0,\n 961→ cache_write: 0,\n 962→ }\n 963→ : {\n 964→ cache_read: 0,\n 965→ cache_write: 0,\n 966→ ...existing?.cost,\n 967→ ...model.cost,\n 968→ },\n 969→ options: {\n 970→ ...existing?.options,\n 971→ ...model.options,\n 972→ },\n 973→ limit: model.limit ??\n 974→ existing?.limit ?? {\n 975→ context: 0,\n 976→ output: 0,\n 977→ },\n 978→ modalities: model.modalities ??\n 979→ existing?.modalities ?? {\n 980→ input: ['text'],\n 981→ output: ['text'],\n 982→ },\n 983→ headers: model.headers,\n 984→ provider: model.provider ?? existing?.provider,\n 985→ };\n 986→ if (model.id && model.id !== modelID) {\n 987→ realIdByKey.set(`${providerID}/${modelID}`, model.id);\n 988→ }\n 989→ parsed.models[modelID] = parsedModel;\n 990→ }\n 991→ database[providerID] = parsed;\n 992→ }\n 993→\n 994→ const disabled = await Config.get().then(\n 995→ (cfg) => new Set(cfg.disabled_providers ?? [])\n 996→ );\n 997→ // load env\n 998→ for (const [providerID, provider] of Object.entries(database)) {\n 999→ if (disabled.has(providerID)) continue;\n 1000→ // Find the first truthy env var (supports multiple env var options like Google's\n 1001→ // GOOGLE_GENERATIVE_AI_API_KEY and GEMINI_API_KEY)\n 1002→ const apiKey = provider.env\n 1003→ .map((item) => process.env[item])\n 1004→ .find(Boolean);\n 1005→ if (!apiKey) continue;\n 1006→ // Always pass the API key - the provider SDK needs it for authentication\n 1007→ mergeProvider(providerID, { apiKey }, 'env');\n 1008→ }\n 1009→\n 1010→ // load apikeys\n 1011→ for (const [providerID, provider] of Object.entries(await Auth.all())) {\n 1012→ if (disabled.has(providerID)) continue;\n 1013→ if (provider.type === 'api') {\n 1014→ mergeProvider(providerID, { apiKey: provider.key }, 'api');\n 1015→ }\n 1016→ }\n 1017→\n 1018→ // load custom\n 1019→ for (const [providerID, fn] of Object.entries(CUSTOM_LOADERS)) {\n 1020→ if (disabled.has(providerID)) continue;\n 1021→ const result = await fn(database[providerID]);\n 1022→ if (result && (result.autoload || providers[providerID])) {\n 1023→ mergeProvider(\n 1024→ providerID,\n 1025→ result.options ?? {},\n 1026→ 'custom',\n 1027→ result.getModel\n 1028→ );\n 1029→ }\n 1030→ }\n 1031→\n 1032→ // load config\n 1033→ for (const [providerID, provider] of configProviders) {\n 1034→ mergeProvider(providerID, provider.options ?? {}, 'config');\n 1035→ }\n 1036→\n 1037→ for (const [providerID, provider] of Object.entries(providers)) {\n 1038→ const filteredModels = Object.fromEntries(\n 1039→ Object.entries(provider.info.models)\n 1040→ // Filter out blacklisted models\n 1041→ .filter(\n 1042→ ([modelID]) =>\n 1043→ modelID !== 'gpt-5-chat-latest' &&\n 1044→ !(providerID === 'openrouter' && modelID === 'openai/gpt-5-chat')\n 1045→ )\n 1046→ // Filter out experimental models\n 1047→ .filter(\n 1048→ ([, model]) =>\n 1049→ ((!model.experimental && model.status !== 'alpha') ||\n 1050→ Flag.OPENCODE_ENABLE_EXPERIMENTAL_MODELS) &&\n 1051→ model.status !== 'deprecated'\n 1052→ )\n 1053→ );\n 1054→ provider.info.models = filteredModels;\n 1055→\n 1056→ if (Object.keys(provider.info.models).length === 0) {\n 1057→ delete providers[providerID];\n 1058→ continue;\n 1059→ }\n 1060→ log.info(() => ({ message: 'found', providerID }));\n 1061→ }\n 1062→\n 1063→ return {\n 1064→ models,\n 1065→ providers,\n 1066→ sdk,\n 1067→ realIdByKey,\n 1068→ };\n 1069→ });\n 1070→\n 1071→ export async function list() {\n 1072→ return state().then((state) => state.providers);\n 1073→ }\n 1074→\n 1075→ async function getSDK(provider: ModelsDev.Provider, model: ModelsDev.Model) {\n 1076→ return (async () => {\n 1077→ using _ = log.time('getSDK', {\n 1078→ providerID: provider.id,\n 1079→ });\n 1080→ const s = await state();\n 1081→ const pkg = model.provider?.npm ?? provider.npm ?? provider.id;\n 1082→ const options = { ...s.providers[provider.id]?.options };\n 1083→ if (\n 1084→ pkg.includes('@ai-sdk/openai-compatible') &&\n 1085→ options['includeUsage'] === undefined\n 1086→ ) {\n 1087→ options['includeUsage'] = true;\n 1088→ }\n 1089→ const key = Bun.hash.xxHash32(JSON.stringify({ pkg, options }));\n 1090→ const existing = s.sdk.get(key);\n 1091→ if (existing) return existing;\n 1092→\n 1093→ let installedPath: string;\n 1094→ if (!pkg.startsWith('file://')) {\n 1095→ log.info(() => ({\n 1096→ message: 'installing provider package',\n 1097→ providerID: provider.id,\n 1098→ pkg,\n 1099→ version: 'latest',\n 1100→ }));\n 1101→ installedPath = await BunProc.install(pkg, 'latest');\n 1102→ log.info(() => ({\n 1103→ message: 'provider package installed successfully',\n 1104→ providerID: provider.id,\n 1105→ pkg,\n 1106→ installedPath,\n 1107→ }));\n 1108→ } else {\n 1109→ log.info(() => ({ message: 'loading local provider', pkg }));\n 1110→ installedPath = pkg;\n 1111→ }\n 1112→\n 1113→ // The `google-vertex-anthropic` provider points to the `@ai-sdk/google-vertex` package.\n 1114→ // Ref: https://github.com/sst/models.dev/blob/0a87de42ab177bebad0620a889e2eb2b4a5dd4ab/providers/google-vertex-anthropic/provider.toml\n 1115→ // However, the actual export is at the subpath `@ai-sdk/google-vertex/anthropic`.\n 1116→ // Ref: https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex#google-vertex-anthropic-provider-usage\n 1117→ // In addition, Bun's dynamic import logic does not support subpath imports,\n 1118→ // so we patch the import path to load directly from `dist`.\n 1119→ const modPath =\n 1120→ provider.id === 'google-vertex-anthropic'\n 1121→ ? `${installedPath}/dist/anthropic/index.mjs`\n 1122→ : installedPath;\n 1123→ const mod = await import(modPath);\n 1124→ if (options['timeout'] !== undefined && options['timeout'] !== null) {\n 1125→ // Preserve custom fetch if it exists, wrap it with timeout logic\n 1126→ const customFetch = options['fetch'];\n 1127→ options['fetch'] = async (input: any, init?: BunFetchRequestInit) => {\n 1128→ const { signal, ...rest } = init ?? {};\n 1129→\n 1130→ const signals: AbortSignal[] = [];\n 1131→ if (signal) signals.push(signal);\n 1132→ if (options['timeout'] !== false)\n 1133→ signals.push(AbortSignal.timeout(options['timeout']));\n 1134→\n 1135→ const combined =\n 1136→ signals.length > 1 ? AbortSignal.any(signals) : signals[0];\n 1137→\n 1138→ const fetchFn = customFetch ?? fetch;\n 1139→ return fetchFn(input, {\n 1140→ ...rest,\n 1141→ signal: combined,\n 1142→ // @ts-ignore see here: https://github.com/oven-sh/bun/issues/16682\n 1143→ timeout: false,\n 1144→ });\n 1145→ };\n 1146→ }\n 1147→\n 1148→ // Wrap fetch with retry logic for rate limit handling (HTTP 429)\n 1149→ // This ensures the agent's time-based retry (7-week timeout) is respected\n 1150→ // instead of the AI SDK's fixed retry count (3 attempts)\n 1151→ // See: https://github.com/link-assistant/agent/issues/167\n 1152→ const existingFetch = options['fetch'] ?? fetch;\n 1153→ options['fetch'] = RetryFetch.wrap(existingFetch, {\n 1154→ sessionID: provider.id,\n 1155→ });\n 1156→\n 1157→ const fn = mod[Object.keys(mod).find((key) => key.startsWith('create'))!];\n 1158→ const loaded = fn({\n 1159→ name: provider.id,\n 1160→ ...options,\n 1161→ });\n 1162→ s.sdk.set(key, loaded);\n 1163→ return loaded as SDK;\n 1164→ })().catch((e) => {\n 1165→ log.error(() => ({\n 1166→ message: 'provider initialization failed',\n 1167→ providerID: provider.id,\n 1168→ pkg: model.provider?.npm ?? provider.npm ?? provider.id,\n 1169→ error: e instanceof Error ? e.message : String(e),\n 1170→ stack: e instanceof Error ? e.stack : undefined,\n 1171→ cause: e instanceof Error && e.cause ? String(e.cause) : undefined,\n 1172→ }));\n 1173→ throw new InitError({ providerID: provider.id }, { cause: e });\n 1174→ });\n 1175→ }\n 1176→\n 1177→ export async function getProvider(providerID: string) {\n 1178→ return state().then((s) => s.providers[providerID]);\n 1179→ }\n 1180→\n 1181→ export async function getModel(providerID: string, modelID: string) {\n 1182→ const key = `${providerID}/${modelID}`;\n 1183→ const s = await state();\n 1184→ if (s.models.has(key)) return s.models.get(key)!;\n 1185→\n 1186→ log.info(() => ({ message: 'getModel', providerID, modelID }));\n 1187→\n 1188→ const provider = s.providers[providerID];\n 1189→ if (!provider) {\n 1190→ // Check if this model ID might exist in another provider (e.g., OpenRouter)\n 1191→ // This helps users who use formats like \"z-ai/glm-4.7\" instead of \"openrouter/z-ai/glm-4.7\"\n 1192→ const fullModelKey = `${providerID}/${modelID}`;\n 1193→ let suggestion: string | undefined;\n 1194→\n 1195→ for (const [knownProviderID, knownProvider] of Object.entries(\n 1196→ s.providers\n 1197→ )) {\n 1198→ if (knownProvider.info.models[fullModelKey]) {\n 1199→ suggestion = `Did you mean: ${knownProviderID}/${fullModelKey}?`;\n 1200→ break;\n 1201→ }\n 1202→ }\n 1203→\n 1204→ throw new ModelNotFoundError({ providerID, modelID, suggestion });\n 1205→ }\n 1206→\n 1207→ // For synthetic providers (like link-assistant/echo and link-assistant/cache), skip SDK loading\n 1208→ // These providers have a custom getModel function that creates the model directly\n 1209→ const isSyntheticProvider =\n 1210→ providerID === 'link-assistant' || providerID === 'link-assistant/cache';\n 1211→\n 1212→ // For synthetic providers, we don't need model info from the database\n 1213→ const info = isSyntheticProvider ? null : provider.info.models[modelID];\n 1214→ if (!isSyntheticProvider && !info)\n 1215→ throw new ModelNotFoundError({ providerID, modelID });\n 1216→\n 1217→ try {\n 1218→ const keyReal = `${providerID}/${modelID}`;\n 1219→ const realID = s.realIdByKey.get(keyReal) ?? (info ? info.id : modelID);\n 1220→\n 1221→ let language: LanguageModel;\n 1222→ if (isSyntheticProvider && provider.getModel) {\n 1223→ // For synthetic providers, call getModel directly without SDK\n 1224→ language = await provider.getModel(null, realID, provider.options);\n 1225→ } else {\n 1226→ // For regular providers, load the SDK first\n 1227→ const sdk = await getSDK(provider.info, info!);\n 1228→ language = provider.getModel\n 1229→ ? await provider.getModel(sdk, realID, provider.options)\n 1230→ : sdk.languageModel(realID);\n 1231→ }\n 1232→ log.info(() => ({ message: 'found', providerID, modelID }));\n 1233→ s.models.set(key, {\n 1234→ providerID,\n 1235→ modelID,\n 1236→ info,\n 1237→ language,\n 1238→ npm: isSyntheticProvider\n 1239→ ? provider.info.npm\n 1240→ : (info.provider?.npm ?? provider.info.npm),\n 1241→ });\n 1242→ return {\n 1243→ modelID,\n 1244→ providerID,\n 1245→ info,\n 1246→ language,\n 1247→ npm: info.provider?.npm ?? provider.info.npm,\n 1248→ };\n 1249→ } catch (e) {\n 1250→ if (e instanceof NoSuchModelError)\n 1251→ throw new ModelNotFoundError(\n 1252→ {\n 1253→ modelID: modelID,\n 1254→ providerID,\n 1255→ },\n 1256→ { cause: e }\n 1257→ );\n 1258→ throw e;\n 1259→ }\n 1260→ }\n 1261→\n 1262→ export async function getSmallModel(providerID: string) {\n 1263→ const cfg = await Config.get();\n 1264→\n 1265→ if (cfg.small_model) {\n 1266→ const parsed = parseModel(cfg.small_model);\n 1267→ return getModel(parsed.providerID, parsed.modelID);\n 1268→ }\n 1269→\n 1270→ const provider = await state().then((state) => state.providers[providerID]);\n 1271→ if (!provider) return;\n 1272→ let priority = [\n 1273→ 'claude-haiku-4-5',\n 1274→ 'claude-haiku-4.5',\n 1275→ '3-5-haiku',\n 1276→ '3.5-haiku',\n 1277→ 'gemini-2.5-flash',\n 1278→ 'gpt-5-nano',\n 1279→ ];\n 1280→ // claude-haiku-4.5 is considered a premium model in github copilot, we shouldn't use premium requests for title gen\n 1281→ if (providerID === 'github-copilot') {\n 1282→ priority = priority.filter((m) => m !== 'claude-haiku-4.5');\n 1283→ }\n 1284→ if (providerID === 'opencode' || providerID === 'local') {\n 1285→ priority = [\n 1286→ 'kimi-k2.5-free',\n 1287→ 'minimax-m2.1-free',\n 1288→ 'gpt-5-nano',\n 1289→ 'glm-4.7-free',\n 1290→ 'big-pickle',\n 1291→ ];\n 1292→ }\n 1293→ if (providerID === 'kilo') {\n 1294→ priority = [\n 1295→ 'glm-5-free',\n 1296→ 'glm-4.7-free',\n 1297→ 'kimi-k2.5-free',\n 1298→ 'minimax-m2.1-free',\n 1299→ 'giga-potato-free',\n 1300→ ];\n 1301→ }\n 1302→ for (const item of priority) {\n 1303→ for (const model of Object.keys(provider.info.models)) {\n 1304→ if (model.includes(item)) return getModel(providerID, model);\n 1305→ }\n 1306→ }\n 1307→ }\n 1308→\n 1309→ const priority = [\n 1310→ 'glm-5-free',\n 1311→ 'kimi-k2.5-free',\n 1312→ 'minimax-m2.1-free',\n 1313→ 'gpt-5-nano',\n 1314→ 'glm-4.7-free',\n 1315→ 'big-pickle',\n 1316→ 'gpt-5',\n 1317→ 'claude-sonnet-4',\n 1318→ 'gemini-3-pro',\n 1319→ ];\n 1320→ export function sort(models: ModelsDev.Model[]) {\n 1321→ return sortBy(\n 1322→ models,\n 1323→ [\n 1324→ (model) => priority.findIndex((filter) => model.id.includes(filter)),\n 1325→ 'desc',\n 1326→ ],\n 1327→ [(model) => (model.id.includes('latest') ? 0 : 1), 'asc'],\n 1328→ [(model) => model.id, 'desc']\n 1329→ );\n 1330→ }\n 1331→\n 1332→ export async function defaultModel() {\n 1333→ const cfg = await Config.get();\n 1334→\n 1335→ // In dry-run mode, use the echo provider by default\n 1336→ // This allows testing round-trips and multi-turn conversations without API costs\n 1337→ // @see https://github.com/link-assistant/agent/issues/89\n 1338→ if (Flag.OPENCODE_DRY_RUN) {\n 1339→ log.info('dry-run mode enabled, using echo provider as default');\n 1340→ return {\n 1341→ providerID: 'link-assistant',\n 1342→ modelID: 'echo',\n 1343→ };\n 1344→ }\n 1345→\n 1346→ if (cfg.model) return parseModel(cfg.model);\n 1347→\n 1348→ // Prefer opencode provider if available\n 1349→ const providers = await list().then((val) => Object.values(val));\n 1350→ const opencodeProvider = providers.find((p) => p.info.id === 'opencode');\n 1351→ if (opencodeProvider) {\n 1352→ const [model] = sort(Object.values(opencodeProvider.info.models));\n 1353→ if (model) {\n 1354→ log.info(() => ({\n 1355→ message: 'using opencode provider as default',\n 1356→ provider: opencodeProvider.info.id,\n 1357→ model: model.id,\n 1358→ }));\n 1359→ return {\n 1360→ providerID: opencodeProvider.info.id,\n 1361→ modelID: model.id,\n 1362→ };\n 1363→ }\n 1364→ }\n 1365→\n 1366→ // Fall back to any available provider if opencode is not available\n 1367→ const provider = providers.find(\n 1368→ (p) => !cfg.provider || Object.keys(cfg.provider).includes(p.info.id)\n 1369→ );\n 1370→ if (!provider) throw new Error('no providers found');\n 1371→ const [model] = sort(Object.values(provider.info.models));\n 1372→ if (!model) throw new Error('no models found');\n 1373→ return {\n 1374→ providerID: provider.info.id,\n 1375→ modelID: model.id,\n 1376→ };\n 1377→ }\n 1378→\n 1379→ export function parseModel(model: string) {\n 1380→ const [providerID, ...rest] = model.split('/');\n 1381→ return {\n 1382→ providerID: providerID,\n 1383→ modelID: rest.join('/'),\n 1384→ };\n 1385→ }\n 1386→\n 1387→ /**\n 1388→ * Resolve a short model name (without provider prefix) to the appropriate provider.\n 1389→ * This function finds which provider should handle a model when no explicit provider is specified.\n 1390→ *\n 1391→ * Priority for free models:\n 1392→ * 1. If model is uniquely available in one provider, use that provider\n 1393→ * 2. If model is available in multiple providers, prioritize based on free model availability:\n 1394→ * - kilo: glm-5-free, glm-4.7-free, minimax-m2.1-free, giga-potato-free (unique to Kilo)\n 1395→ * - opencode: minimax-m2.5-free, big-pickle, gpt-5-nano (unique to OpenCode)\n 1396→ * - SHARED: kimi-k2.5-free (available in both)\n 1397→ * 3. For shared models like kimi-k2.5-free, prefer OpenCode first, then fall back to Kilo on rate limit\n 1398→ *\n 1399→ * @param modelID - Short model name without provider prefix\n 1400→ * @returns Provider ID that should handle this model, or undefined if not found\n 1401→ */\n 1402→ export async function resolveShortModelName(\n 1403→ modelID: string\n 1404→ ): Promise<{ providerID: string; modelID: string } | undefined> {\n 1405→ const s = await state();\n 1406→\n 1407→ // Define model-to-provider mappings for free models\n 1408→ // Models unique to Kilo (GLM models from Z.AI are only free on Kilo)\n 1409→ const kiloUniqueModels = [\n 1410→ 'glm-5-free',\n 1411→ 'glm-4.7-free',\n 1412→ 'giga-potato-free',\n 1413→ 'trinity-large-preview',\n 1414→ ];\n 1415→\n 1416→ // Check if it's a Kilo-unique model\n 1417→ if (kiloUniqueModels.includes(modelID)) {\n 1418→ const kiloProvider = s.providers['kilo'];\n 1419→ if (kiloProvider && kiloProvider.info.models[modelID]) {\n 1420→ log.info(() => ({\n 1421→ message: 'resolved short model name to kilo (unique)',\n 1422→ modelID,\n 1423→ }));\n 1424→ return { providerID: 'kilo', modelID };\n 1425→ }\n 1426→ }\n 1427→\n 1428→ // Check if model exists in any provider\n 1429→ const matchingProviders: string[] = [];\n 1430→ for (const [providerID, provider] of Object.entries(s.providers)) {\n 1431→ if (provider.info.models[modelID]) {\n 1432→ matchingProviders.push(providerID);\n 1433→ }\n 1434→ }\n 1435→\n 1436→ if (matchingProviders.length === 0) {\n 1437→ return undefined;\n 1438→ }\n 1439→\n 1440→ if (matchingProviders.length === 1) {\n 1441→ const providerID = matchingProviders[0];\n 1442→ log.info(() => ({\n 1443→ message: 'resolved short model name (single match)',\n 1444→ modelID,\n 1445→ providerID,\n 1446→ }));\n 1447→ return { providerID, modelID };\n 1448→ }\n 1449→\n 1450→ // Multiple providers have this model - prefer OpenCode for shared free models\n 1451→ // This follows the convention that opencode is the primary free provider\n 1452→ if (matchingProviders.includes('opencode')) {\n 1453→ log.info(() => ({\n 1454→ message: 'resolved short model name to opencode (multiple providers)',\n 1455→ modelID,\n 1456→ availableProviders: matchingProviders,\n 1457→ }));\n 1458→ return { providerID: 'opencode', modelID };\n 1459→ }\n 1460→\n 1461→ // Fallback to first matching provider\n 1462→ const providerID = matchingProviders[0];\n 1463→ log.info(() => ({\n 1464→ message: 'resolved short model name (fallback)',\n 1465→ modelID,\n 1466→ providerID,\n 1467→ availableProviders: matchingProviders,\n 1468→ }));\n 1469→ return { providerID, modelID };\n 1470→ }\n 1471→\n 1472→ /**\n 1473→ * Parse a model string that may or may not include a provider prefix.\n 1474→ * If no provider is specified, attempts to resolve the short model name to the appropriate provider.\n 1475→ *\n 1476→ * Examples:\n 1477→ * - \"kilo/glm-5-free\" -> { providerID: \"kilo\", modelID: \"glm-5-free\" }\n 1478→ * - \"glm-5-free\" -> { providerID: \"kilo\", modelID: \"glm-5-free\" } (resolved)\n 1479→ * - \"kimi-k2.5-free\" -> { providerID: \"opencode\", modelID: \"kimi-k2.5-free\" } (resolved)\n 1480→ *\n 1481→ * @param model - Model string with or without provider prefix\n 1482→ * @returns Parsed provider ID and model ID\n 1483→ */\n 1484→ export async function parseModelWithResolution(\n 1485→ model: string\n 1486→ ): Promise<{ providerID: string; modelID: string }> {\n 1487→ // Check if model includes a provider prefix\n 1488→ if (model.includes('/')) {\n 1489→ // Explicit provider specified - use it directly\n 1490→ return parseModel(model);\n 1491→ }\n 1492→\n 1493→ // No provider prefix - try to resolve the short model name\n 1494→ const resolved = await resolveShortModelName(model);\n 1495→ if (resolved) {\n 1496→ return resolved;\n 1497→ }\n 1498→\n 1499→ // Unable to resolve - fall back to default behavior (opencode provider)\n 1500→ log.warn(() => ({\n 1501→ message: 'unable to resolve short model name, using opencode as default',\n 1502→ modelID: model,\n 1503→ }));\n 1504→ return {\n 1505→ providerID: 'opencode',\n 1506→ modelID: model,\n 1507→ };\n 1508→ }\n 1509→\n 1510→ /**\n 1511→ * Defines models that are available in multiple free providers.\n 1512→ * When one provider hits rate limits, the system can try an alternative.\n 1513→ *\n 1514→ * Note: This is only used for models without explicit provider specification.\n 1515→ * If user specifies \"kilo/kimi-k2.5-free\", no fallback will occur.\n 1516→ */\n 1517→ const SHARED_FREE_MODELS: Record<string, string[]> = {\n 1518→ // kimi-k2.5-free is available in both OpenCode and Kilo\n 1519→ 'kimi-k2.5-free': ['opencode', 'kilo'],\n 1520→ // Note: minimax-m2.1-free is Kilo only, minimax-m2.5-free is OpenCode only\n 1521→ // They are different model versions, not shared\n 1522→ };\n 1523→\n 1524→ /**\n 1525→ * Get alternative providers for a model when the primary provider fails (e.g., rate limited).\n 1526→ * This function returns a list of alternative providers that offer the same model.\n 1527→ *\n 1528→ * Note: This only returns alternatives for models without explicit provider specification.\n 1529→ * If the original request had an explicit provider (like \"kilo/kimi-k2.5-free\"), this returns empty array.\n 1530→ *\n 1531→ * @param modelID - The model ID to find alternatives for\n 1532→ * @param failedProviderID - The provider that failed\n 1533→ * @param wasExplicitProvider - Whether the user explicitly specified the provider\n 1534→ * @returns Array of alternative provider IDs that can serve this model\n 1535→ */\n 1536→ export async function getAlternativeProviders(\n 1537→ modelID: string,\n 1538→ failedProviderID: string,\n 1539→ wasExplicitProvider: boolean\n 1540→ ): Promise<string[]> {\n 1541→ // If the user explicitly specified a provider, don't offer alternatives\n 1542→ if (wasExplicitProvider) {\n 1543→ log.info(() => ({\n 1544→ message: 'no alternative providers (explicit provider specified)',\n 1545→ modelID,\n 1546→ failedProviderID,\n 1547→ }));\n 1548→ return [];\n 1549→ }\n 1550→\n 1551→ // Check if this is a shared model\n 1552→ const sharedProviders = SHARED_FREE_MODELS[modelID];\n 1553→ if (!sharedProviders) {\n 1554→ // Not a shared model, no alternatives\n 1555→ return [];\n 1556→ }\n 1557→\n 1558→ // Get alternative providers (excluding the failed one)\n 1559→ const s = await state();\n 1560→ const alternatives = sharedProviders.filter(\n 1561→ (p) => p !== failedProviderID && s.providers[p]\n 1562→ );\n 1563→\n 1564→ if (alternatives.length > 0) {\n 1565→ log.info(() => ({\n 1566→ message: 'found alternative providers for rate-limited model',\n 1567→ modelID,\n 1568→ failedProviderID,\n 1569→ alternatives,\n 1570→ }));\n 1571→ }\n 1572→\n 1573→ return alternatives;\n 1574→ }\n 1575→\n 1576→ /**\n 1577→ * Checks if an error indicates a rate limit issue.\n 1578→ * @param error - The error to check\n 1579→ * @returns true if the error indicates a rate limit\n 1580→ */\n 1581→ export function isRateLimitError(error: unknown): boolean {\n 1582→ if (!(error instanceof Error)) return false;\n 1583→\n 1584→ const message = error.message.toLowerCase();\n 1585→ const name = error.name.toLowerCase();\n 1586→\n 1587→ return (\n 1588→ message.includes('rate limit') ||\n 1589→ message.includes('ratelimit') ||\n 1590→ message.includes('too many requests') ||\n 1591→ message.includes('429') ||\n 1592→ name.includes('ratelimit')\n 1593→ );\n 1594→ }\n 1595→\n 1596→ export const ModelNotFoundError = NamedError.create(\n 1597→ 'ProviderModelNotFoundError',\n 1598→ z.object({\n 1599→ providerID: z.string(),\n 1600→ modelID: z.string(),\n 1601→ suggestion: z.string().optional(),\n 1602→ })\n 1603→ );\n 1604→\n 1605→ export const InitError = NamedError.create(\n 1606→ 'ProviderInitError',\n 1607→ z.object({\n 1608→ providerID: z.string(),\n 1609→ })\n 1610→ );\n 1611→}\n 1612→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| [2026-02-14T11:24:40.655Z] [INFO] { | |
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| "content": "36235-[2026-02-14T08:34:09.452Z] [INFO] \"service\": \"bus\",\n36236-[2026-02-14T08:34:09.452Z] [INFO] \"message\": \"publishing\"\n36237-[2026-02-14T08:34:09.452Z] [INFO] }\n36238-[2026-02-14T08:34:12.210Z] [INFO] {\n36239-[2026-02-14T08:34:12.211Z] [INFO] \"type\": \"log\",\n36240-[2026-02-14T08:34:12.211Z] [INFO] \"level\": \"error\",\n36241-[2026-02-14T08:34:12.211Z] [INFO] \"timestamp\": \"2026-02-14T08:34:12.210Z\",\n36242-[2026-02-14T08:34:12.212Z] [INFO] \"service\": \"session.prompt\",\n36243-[2026-02-14T08:34:12.212Z] [INFO] \"error\": {\n36244-[2026-02-14T08:34:12.212Z] [INFO] \"error\": {\n36245:[2026-02-14T08:34:12.212Z] [INFO] \"name\": \"AI_JSONParseError\",\n36246-[2026-02-14T08:34:12.212Z] [INFO] \"cause\": {},\n36247-[2026-02-14T08:34:12.212Z] [INFO] \"text\": \"{\\\"id\\\":\\\"chatcmpl-jQugNdata:{\\\"id\\\":\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\",\\\"object\\\":\\\"chat.completion.chunk\\\",\\\"created\\\":1771058051,\\\"model\\\":\\\"kimi-k2.5\\\",\\\"choices\\\":[{\\\"index\\\":0,\\\"delta\\\":{\\\"role\\\":\\\"assistant\\\",\\\"content\\\":\\\"\\\"},\\\"finish_reason\\\":null}],\\\"system_fingerprint\\\":\\\"fpv0_f7e5c49a\\\"}\"\n36248-[2026-02-14T08:34:12.213Z] [INFO] }\n36249-[2026-02-14T08:34:12.213Z] [INFO] },\n36250-[2026-02-14T08:34:12.213Z] [INFO] \"message\": \"stream error\"\n36251-[2026-02-14T08:34:12.213Z] [INFO] }\n36252-[2026-02-14T08:34:12.213Z] [INFO] {\n36253-[2026-02-14T08:34:12.213Z] [INFO] \"type\": \"log\",\n36254-[2026-02-14T08:34:12.214Z] [INFO] \"level\": \"error\",\n36255-[2026-02-14T08:34:12.214Z] [INFO] \"timestamp\": \"2026-02-14T08:34:12.211Z\",\n36256-[2026-02-14T08:34:12.214Z] [INFO] \"service\": \"session.processor\",\n36257-[2026-02-14T08:34:12.214Z] [INFO] \"error\": {\n36258:[2026-02-14T08:34:12.214Z] [INFO] \"name\": \"AI_JSONParseError\",\n36259-[2026-02-14T08:34:12.214Z] [INFO] \"cause\": {},\n36260-[2026-02-14T08:34:12.215Z] [INFO] \"text\": \"{\\\"id\\\":\\\"chatcmpl-jQugNdata:{\\\"id\\\":\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\",\\\"object\\\":\\\"chat.completion.chunk\\\",\\\"created\\\":1771058051,\\\"model\\\":\\\"kimi-k2.5\\\",\\\"choices\\\":[{\\\"index\\\":0,\\\"delta\\\":{\\\"role\\\":\\\"assistant\\\",\\\"content\\\":\\\"\\\"},\\\"finish_reason\\\":null}],\\\"system_fingerprint\\\":\\\"fpv0_f7e5c49a\\\"}\"\n36261-[2026-02-14T08:34:12.215Z] [INFO] },\n36262-[2026-02-14T08:34:12.215Z] [INFO] \"message\": \"process\"\n36263-[2026-02-14T08:34:12.215Z] [INFO] }\n36264-[2026-02-14T08:34:12.215Z] [INFO] {\n36265-[2026-02-14T08:34:12.215Z] [INFO] \"type\": \"session.error\",\n36266-[2026-02-14T08:34:12.215Z] [INFO] \"level\": \"info\",\n36267-[2026-02-14T08:34:12.216Z] [INFO] \"timestamp\": \"2026-02-14T08:34:12.211Z\",\n36268-[2026-02-14T08:34:12.216Z] [INFO] \"service\": \"bus\",\n36269-[2026-02-14T08:34:12.216Z] [INFO] \"message\": \"publishing\"\n36270-[2026-02-14T08:34:12.216Z] [INFO] }\n36271-[2026-02-14T08:34:12.216Z] [INFO] {\n36272-[2026-02-14T08:34:12.217Z] [INFO] \"type\": \"error\",\n36273-[2026-02-14T08:34:12.217Z] [INFO] \"timestamp\": 1771058052211,\n36274-[2026-02-14T08:34:12.217Z] [INFO] \"sessionID\": \"ses_3a4b73b0effeFXKMNNCv1Lm3b2\",\n36275-[2026-02-14T08:34:12.217Z] [INFO] \"error\": {\n36276-[2026-02-14T08:34:12.217Z] [INFO] \"name\": \"UnknownError\",\n36277-[2026-02-14T08:34:12.217Z] [INFO] \"data\": {\n36278:[2026-02-14T08:34:12.217Z] [INFO] \"message\": \"AI_JSONParseError: JSON parsing failed: Text: {\\\"id\\\":\\\"chatcmpl-jQugNdata:{\\\"id\\\":\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\",\\\"object\\\":\\\"chat.completion.chunk\\\",\\\"created\\\":1771058051,\\\"model\\\":\\\"kimi-k2.5\\\",\\\"choices\\\":[{\\\"index\\\":0,\\\"delta\\\":{\\\"role\\\":\\\"assistant\\\",\\\"content\\\":\\\"\\\"},\\\"finish_reason\\\":null}],\\\"system_fingerprint\\\":\\\"fpv0_f7e5c49a\\\"}.\\nError message: JSON Parse error: Expected '}'\"\n36279-[2026-02-14T08:34:12.217Z] [INFO] }\n36280-[2026-02-14T08:34:12.218Z] [INFO] }\n36281-[2026-02-14T08:34:12.218Z] [INFO] }\n36282-[2026-02-14T08:34:12.218Z] [INFO] {\n36283-[2026-02-14T08:34:12.218Z] [INFO] \"type\": \"message.part.updated\",\n36284-[2026-02-14T08:34:12.218Z] [INFO] \"level\": \"info\",\n36285-[2026-02-14T08:34:12.218Z] [INFO] \"timestamp\": \"2026-02-14T08:34:12.214Z\",\n36286-[2026-02-14T08:34:12.218Z] [INFO] \"service\": \"bus\",\n36287-[2026-02-14T08:34:12.218Z] [INFO] \"message\": \"publishing\"\n36288-[2026-02-14T08:34:12.219Z] [INFO] }" | |
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| "content": " 1→// Permalink: https://github.com/sst/opencode/blob/main/packages/opencode/src/provider/provider.ts\n 2→\n 3→import { createOpenCode } from '@opencode-ai/sdk';\n 4→\n 5→class OpenCodeProvider {\n 6→ constructor() {\n 7→ this.name = 'opencode';\n 8→ }\n 9→\n 10→ getModel(modelId) {\n 11→ // For grok-code, return a model that uses the opencode API\n 12→ if (modelId === 'grok-code') {\n 13→ return {\n 14→ id: 'grok-code',\n 15→ provider: this,\n 16→ generateText: async (options) => {\n 17→ // Use opencode API\n 18→ const opencode = await createOpenCode();\n 19→ const { client } = opencode;\n 20→\n 21→ const sessionResult = await client.session.create();\n 22→ const sessionId = sessionResult.data?.id;\n 23→\n 24→ await client.session.prompt({\n 25→ path: { id: sessionId },\n 26→ body: {\n 27→ agent: 'build',\n 28→ model: { providerID: 'opencode', modelID: 'grok-code' },\n 29→ parts: [{ type: 'text', text: options.prompt }],\n 30→ },\n 31→ });\n 32→\n 33→ // For simplicity, return a mock response\n 34→ return {\n 35→ text: 'Hello from Grok Code!',\n 36→ usage: { promptTokens: 10, completionTokens: 5 },\n 37→ };\n 38→ },\n 39→ };\n 40→ }\n 41→ throw new Error(`Model ${modelId} not found`);\n 42→ }\n 43→}\n 44→\n 45→const opencodeProvider = new OpenCodeProvider();\n 46→\n 47→export { opencodeProvider };\n 48→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": " 1→# Kilo Gateway Provider\n 2→\n 3→[Kilo](https://kilo.ai) is an open-source AI coding agent platform providing unified access to 500+ AI models through the Kilo Gateway. This provider uses an OpenAI-compatible API at `https://api.kilo.ai/api/gateway`.\n 4→\n 5→## Overview\n 6→\n 7→The Kilo Gateway offers:\n 8→\n 9→- **500+ AI Models** - Access to models from Anthropic, OpenAI, Google, xAI, Mistral, MiniMax, and more\n 10→- **Free Tier** - Several free models available without API key (using `public` key)\n 11→- **BYOK Support** - Bring your own API keys with encrypted-at-rest storage\n 12→- **OpenAI-Compatible API** - Drop-in replacement for OpenAI's `/chat/completions` endpoint\n 13→- **SSE Streaming** - Full Server-Sent Events streaming support\n 14→- **Tool Calling** - Robust function/tool calling capabilities\n 15→\n 16→## Free Models\n 17→\n 18→The following models are available without setting up an API key:\n 19→\n 20→| Model | Model ID | Provider | Context Window | Status |\n 21→| ------------------------ | ----------------------------- | -------------- | -------------- | ------------------- |\n 22→| **GLM-5 (recommended)** | `kilo/glm-5-free` | Z.AI | 202,752 tokens | Free (limited time) |\n 23→| GLM 4.7 | `kilo/glm-4.7-free` | Z.AI | 131,072 tokens | Free |\n 24→| Kimi K2.5 | `kilo/kimi-k2.5-free` | MoonshotAI | 131,072 tokens | Free |\n 25→| MiniMax M2.1 | `kilo/minimax-m2.1-free` | MiniMax | 131,072 tokens | Free |\n 26→| Giga Potato | `kilo/giga-potato-free` | Unknown | 65,536 tokens | Free (evaluation) |\n 27→| Trinity Large Preview | `kilo/trinity-large-preview` | Arcee AI | 65,536 tokens | Free (preview) |\n 28→\n 29→### GLM-5: Flagship Free Model\n 30→\n 31→GLM-5 is Z.AI's (Zhipu AI) latest flagship model with enhanced reasoning and coding capabilities. Key features:\n 32→\n 33→- **Deep Reasoning** - Excels at \"thinking through\" complex architectural problems before writing code\n 34→- **Fast Inference** - Delivers significantly faster inference speeds than previous GLM versions\n 35→- **Bilingual** - Optimized for both Chinese and English\n 36→- **Tool Calling** - Full support for function calling and tool use\n 37→- **Structured Outputs** - JSON schema validation for structured responses\n 38→\n 39→| Specification | Value |\n 40→| ----------------- | -------------------- |\n 41→| Context Window | 202,752 tokens |\n 42→| Max Output Tokens | 131,072 tokens |\n 43→| Function Calling | Yes |\n 44→| Tool Choice | Yes |\n 45→| Reasoning Tokens | Yes |\n 46→| Release Date | February 11, 2026 |\n 47→\n 48→> **Note:** GLM-5 is currently free for a limited time. See the [official announcement](https://blog.kilo.ai/p/glm-5-free-limited-time) for details.\n 49→\n 50→## Configuration\n 51→\n 52→### Using Free Models (No API Key Required)\n 53→\n 54→Free models work out of the box with no configuration:\n 55→\n 56→```bash\n 57→# GLM-5 (recommended)\n 58→echo \"hello\" | agent --model kilo/glm-5-free\n 59→\n 60→# GLM 4.7\n 61→echo \"hello\" | agent --model kilo/glm-4.7-free\n 62→\n 63→# Kimi K2.5\n 64→echo \"hello\" | agent --model kilo/kimi-k2.5-free\n 65→```\n 66→\n 67→### Using Paid Models\n 68→\n 69→For paid models, set your Kilo API key:\n 70→\n 71→```bash\n 72→export KILO_API_KEY=your_api_key_here\n 73→```\n 74→\n 75→Get your API key at [app.kilo.ai](https://app.kilo.ai).\n 76→\n 77→## API Details\n 78→\n 79→The Kilo Gateway uses an OpenAI-compatible API:\n 80→\n 81→| Property | Value |\n 82→| ----------------- | ------------------------------------ |\n 83→| Base URL | `https://api.kilo.ai/api/gateway` |\n 84→| API Format | OpenAI-compatible |\n 85→| Authentication | Bearer token (`KILO_API_KEY`) |\n 86→| Streaming | SSE (Server-Sent Events) |\n 87→| Tool Calling | Supported |\n 88→\n 89→### Example API Call (Vercel AI SDK)\n 90→\n 91→```typescript\n 92→import { streamText } from \"ai\"\n 93→import { createOpenAI } from \"@ai-sdk/openai\"\n 94→\n 95→const kilo = createOpenAI({\n 96→ baseURL: \"https://api.kilo.ai/api/gateway\",\n 97→ apiKey: process.env.KILO_API_KEY || \"public\",\n 98→})\n 99→\n 100→const result = streamText({\n 101→ model: kilo(\"z-ai/glm-5\"),\n 102→ prompt: \"Write a function to sort an array\",\n 103→})\n 104→```\n 105→\n 106→## Comparison with OpenCode Zen\n 107→\n 108→| Feature | OpenCode Zen | Kilo Gateway |\n 109→| ---------------- | ------------------------ | ----------------------------- |\n 110→| Free Models | 5 (Kimi K2.5, etc.) | 6+ (GLM-5, GLM 4.7, etc.) |\n 111→| Flagship Free | Kimi K2.5 Free | GLM-5 (limited time) |\n 112→| API Format | OpenAI-compatible | OpenAI-compatible |\n 113→| Free API Key | `public` | `public` |\n 114→| Total Models | 50+ | 500+ |\n 115→| BYOK Support | Yes | Yes |\n 116→\n 117→## More Information\n 118→\n 119→- [Kilo Gateway Documentation](https://kilo.ai/docs/gateway)\n 120→- [Free and Budget Models](https://kilo.ai/docs/advanced-usage/free-and-budget-models)\n 121→- [GLM-5 Free Announcement](https://blog.kilo.ai/p/glm-5-free-limited-time)\n 122→- [Kilo GitHub Repository](https://github.com/Kilo-Org/kilo)\n 123→- [Kilo Code VS Code Extension](https://github.com/Kilo-Org/kilocode)\n 124→- [Z.AI Developer Documentation](https://docs.z.ai/devpack/overview)\n 125→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": " 1→# Case Study: Premature Session Termination Due to SSE Stream Corruption (Issue #169)\n 2→\n 3→## Summary\n 4→\n 5→The agent's session terminated after ~5 minutes instead of retrying for the expected 7-day window. The root cause is a chain of three failures:\n 6→\n 7→1. **SSE stream corruption** at the Kilo AI Gateway level when proxying responses from Moonshot's Kimi K2.5 API\n 8→2. **Vercel AI SDK** throwing `AI_JSONParseError` (which has no `isRetryable` property and no built-in retry for mid-stream errors)\n 9→3. **Agent's error classifier** in `message-v2.ts` falling through to `NamedError.Unknown`, which is not retryable\n 10→\n 11→## Infrastructure Chain\n 12→\n 13→```\n 14→Agent (Bun) → OpenCode Zen Provider → Kilo AI Gateway (api.kilo.ai) → Moonshot Kimi K2.5 API\n 15→```\n 16→\n 17→- **Provider ID**: `opencode` (resolved from `--model kimi-k2.5-free`)\n 18→- **SDK**: `@ai-sdk/openai-compatible` (OpenAI-compatible protocol)\n 19→- **Gateway**: Kilo AI Gateway at `https://api.kilo.ai/api/gateway`\n 20→- **Model**: `moonshot/kimi-k2.5:free` (Moonshot's Kimi K2.5, free tier)\n 21→\n 22→**Note**: OpenRouter is NOT involved in this incident. The previous analysis incorrectly attributed the SSE corruption to OpenRouter. The actual proxy is the Kilo AI Gateway.\n 23→\n 24→## Timeline of Events\n 25→\n 26→| Time (UTC) | Event | Details |\n 27→|------------|-------|---------|\n 28→| 08:28:31 | Process started | `solve v1.23.1`, model `kimi-k2.5-free` |\n 29→| 08:28:51 | Branch created | `issue-761-a0caf45f6eba` |\n 30→| 08:28:58 | PR created | PR #778 on target repo |\n 31→| 08:29:06 | Session 1 started | `ses_3a4bb6d8dffeiS5FRAjqmkJinT`, providerID=`opencode` |\n 32→| 08:29:08 | Rate limit (429) | `retry-after: 55852` seconds (~15.5 hours) |\n 33→| 08:29:08–08:30:31 | Multiple 429s | All correctly scheduled with retry-after delays |\n 34→| 08:33:41 | Session 2 started | `ses_3a4b73b0effeFXKMNNCv1Lm3b2`, providerID=`opencode` |\n 35→| 08:34:12.210 | Stream error | `AI_JSONParseError: JSON parsing failed` |\n 36→| 08:34:12.211 | Error classified | `NamedError.Unknown` (not retryable) |\n 37→| 08:34:12.213 | Tool aborted | In-flight tool call marked \"Tool execution aborted\" |\n 38→| 08:34:12.293 | Solve script | Misclassified as `UsageLimit` due to \"Tool execution aborted\" pattern |\n 39→| 08:34:12.301 | **Session terminated** | Process exited, total runtime ~5 minutes |\n 40→\n 41→## Root Cause Analysis\n 42→\n 43→### Root Cause 1: Malformed SSE Data from Kilo AI Gateway\n 44→\n 45→The SSE stream returned corrupted data where two SSE chunks were concatenated without proper delimiters:\n 46→\n 47→```\n 48→Received (corrupted):\n 49→{\"id\":\"chatcmpl-jQugNdata:{\"id\":\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\",\"object\":\"chat.completion.chunk\",\"created\":1771058051,\"model\":\"kimi-k2.5\",\"choices\":[{\"index\":0,\"delta\":{\"role\":\"assistant\",\"content\":\"\"},\"finish_reason\":null}],\"system_fingerprint\":\"fpv0_f7e5c49a\"}\n 50→```\n 51→\n 52→Breaking this down:\n 53→- `{\"id\":\"chatcmpl-jQugN` — partial first chunk (truncated after the `id` value)\n 54→- `data:` — SSE protocol prefix that should start a new line\n 55→- `{\"id\":\"chatcmpl-iU6vk...` — complete second chunk\n 56→\n 57→Expected (correct SSE format):\n 58→```\n 59→data: {\"id\":\"chatcmpl-jQugN\",\"object\":\"chat.completion.chunk\",...}\\n\\n\n 60→data: {\"id\":\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\",\"object\":\"chat.completion.chunk\",...}\\n\\n\n 61→```\n 62→\n 63→This is a known class of issue with AI gateways/proxies. Similar issues have been reported:\n 64→- [OpenCode #7692](https://github.com/anomalyco/opencode/issues/7692): \"JSON Parse Error with Zhipu GLM-4.7: Stream chunks are concatenated incorrectly\"\n 65→- [OpenCode #10967](https://github.com/anomalyco/opencode/issues/10967): \"Error Writing Large Files (at least with Kimi K2.5)\"\n 66→- [Kilo-Org/kilocode #5433](https://github.com/Kilo-Org/kilocode/issues/5433): \"Kimi K2.5 - Fails with Kilo Gateway\"\n 67→- [sglang #8613](https://github.com/sgl-project/sglang/issues/8613): \"Kimi-K2 model outputs incomplete content during multi-turn streaming\"\n 68→\n 69→### Root Cause 2: Vercel AI SDK Does Not Retry Mid-Stream Parse Errors\n 70→\n 71→The Vercel AI SDK's SSE parsing pipeline is:\n 72→\n 73→```\n 74→HTTP Response Body (bytes)\n 75→ → TextDecoderStream (bytes → text)\n 76→ → EventSourceParserStream (eventsource-parser library, text → SSE messages)\n 77→ → TransformStream (SSE data → JSON.parse → ParseResult)\n 78→ → OpenAI-compatible model handler (ParseResult → stream parts)\n 79→```\n 80→\n 81→Key findings from [AI SDK source code analysis](https://github.com/vercel/ai):\n 82→- `AI_JSONParseError` has **NO `isRetryable` property** (only `APICallError` has it)\n 83→- The SDK's retry mechanism (`retryWithExponentialBackoff`) only retries `APICallError` instances\n 84→- Mid-stream errors (after HTTP 200 is received) are **never retried** by the SDK\n 85→- The error is emitted as `{ type: 'error', error: JSONParseError }` in the stream\n 86→- Default `onError` handler simply `console.error`s it\n 87→\n 88→References:\n 89→- [Vercel AI SDK Error Reference](https://ai-sdk.dev/docs/reference/ai-sdk-errors/ai-json-parse-error)\n 90→- [Vercel AI #4099](https://github.com/vercel/ai/issues/4099): streamText error handling\n 91→- [Ollama #5417](https://github.com/ollama/ollama/issues/5417): Cloudflare Tunnel + Vercel AI SDK = AI_JSONParseError\n 92→\n 93→### Root Cause 3: Agent's Error Classifier Falls Through to UnknownError\n 94→\n 95→In `message-v2.ts:fromError()`, the error classification chain is:\n 96→1. `DOMException AbortError` → `AbortedError` ❌\n 97→2. `DOMException TimeoutError` → `TimeoutError` ❌\n 98→3. `OutputLengthError` → pass through ❌\n 99→4. `LoadAPIKeyError` → `AuthError` ❌\n 100→5. `APICallError` → `APIError` ❌\n 101→6. `Error` with socket message → `SocketConnectionError` ❌\n 102→7. `Error` with timeout message → `TimeoutError` ❌\n 103→8. **`AI_JSONParseError` falls through here** → `NamedError.Unknown`\n 104→\n 105→Since `NamedError.Unknown` is not in the retryable error list in `processor.ts`, the session terminates immediately.\n 106→\n 107→### Contributing Factor: Solve Script Error Misclassification\n 108→\n 109→The external solve script detected \"Tool execution aborted\" (a side effect of the stream error — in-flight tool calls are aborted when the stream errors out) and misclassified it as `UsageLimit`, preventing any further retry at the script level.\n 110→\n 111→## Comparison with Other CLI Agents\n 112→\n 113→### OpenAI Codex CLI (Rust)\n 114→**Best practice found**: Codex **skips unparseable SSE events and continues processing the stream**. JSON parse errors on individual events are logged at debug level and the stream loop continues with `continue;`. Only SSE framing errors (protocol-level) terminate the stream, and even those trigger stream-level retries (up to 5 retries with exponential backoff). `CodexErr::Json` is explicitly marked as retryable.\n 115→\n 116→Key code (`codex-api/src/sse/responses.rs:373-379`):\n 117→```rust\n 118→let event: ResponsesStreamEvent = match serde_json::from_str(&sse.data) {\n 119→ Ok(event) => event,\n 120→ Err(e) => {\n 121→ debug!(\"Failed to parse SSE event: {e}, data: {}\", &sse.data);\n 122→ continue; // Skip and continue processing the stream\n 123→ }\n 124→};\n 125→```\n 126→\n 127→### Gemini CLI\n 128→**Two-layer retry architecture**: Layer 1 retries the HTTP connection (exponential backoff, 3 attempts). Layer 2 retries stream consumption errors including `InvalidStreamError` (when stream ends without finish reason, with empty response, or with malformed function call). However, `SyntaxError` from JSON.parse in the custom SSE parser is **NOT caught** — this is a gap similar to the agent's.\n 129→\n 130→### Qwen Code\n 131→**Graceful JSON parse recovery in SDK**: The SDK's `parseJsonLineSafe()` function silently skips lines that fail to parse, logging a warning instead of crashing. At the stream level, `StreamContentError` for rate limits is retried with 60-second delays (up to 10 retries). `InvalidStreamError` is retried once with 500ms delay.\n 132→\n 133→### OpenCode (sst/opencode — this project's upstream)\n 134→**Same gap as the agent**: `AI_JSONParseError` falls through to `NamedError.Unknown` in `fromError()` and is NOT retried. The `retryable()` function in `retry.ts` returns `undefined` for Unknown errors that don't contain parseable JSON.\n 135→\n 136→## Root Cause Summary\n 137→\n 138→| Layer | Responsible Party | Issue |\n 139→|-------|------------------|-------|\n 140→| SSE Stream | Kilo AI Gateway / Moonshot Kimi K2.5 | Corrupted SSE chunks (concatenated without delimiters) |\n 141→| SSE Parsing | Vercel AI SDK (`eventsource-parser`) | No retry for mid-stream parse errors; `AI_JSONParseError` has no `isRetryable` |\n 142→| Error Classification | Agent (`message-v2.ts`) | Falls through to `NamedError.Unknown` (not retryable) |\n 143→| Process Management | Solve script | Misclassifies \"Tool execution aborted\" as `UsageLimit` |\n 144→\n 145→## Proposed Solutions\n 146→\n 147→### Solution 1: Skip-and-Continue (Codex approach) — Recommended for prevention\n 148→\n 149→Instead of terminating the stream on a single bad SSE event, skip the corrupted event and continue processing:\n 150→\n 151→```typescript\n 152→// In a custom response handler or transform stream\n 153→if (!chunk.success) {\n 154→ log.warn('Skipping unparseable SSE event', { error: chunk.error.text });\n 155→ return; // Skip this event, continue with next\n 156→}\n 157→```\n 158→\n 159→This is the most resilient approach — used by OpenAI Codex. A single corrupted SSE chunk should not terminate an entire stream when subsequent chunks may be valid.\n 160→\n 161→### Solution 2: Stream-Level Retry (Current approach, improved)\n 162→\n 163→Detect `AI_JSONParseError` in `fromError()` and classify as `StreamParseError` (retryable). Retry the entire stream with exponential backoff:\n 164→\n 165→```typescript\n 166→// In message-v2.ts fromError()\n 167→const isStreamParseError =\n 168→ e.name === 'AI_JSONParseError' ||\n 169→ message.includes('AI_JSONParseError') ||\n 170→ message.includes('JSON parsing failed');\n 171→if (isStreamParseError) {\n 172→ return new MessageV2.StreamParseError(\n 173→ { message, isRetryable: true, text: (e as any).text },\n 174→ { cause: e }\n 175→ ).toObject();\n 176→}\n 177→```\n 178→\n 179→### Solution 3: Upstream Fixes\n 180→\n 181→File issues with:\n 182→1. **Vercel AI SDK**: Request `isRetryable` property on `AI_JSONParseError`, or a configurable stream error handler\n 183→2. **Kilo AI Gateway**: Report SSE stream corruption when proxying Kimi K2.5\n 184→3. **Moonshot (Kimi K2.5)**: Report SSE stream format issues\n 185→\n 186→## External Issues to File\n 187→\n 188→### 1. Vercel AI SDK (`vercel/ai`)\n 189→\n 190→**Title**: `AI_JSONParseError` should support retry for mid-stream parse errors\n 191→\n 192→**Key points**:\n 193→- `AI_JSONParseError` has no `isRetryable` property\n 194→- The SDK's built-in retry only works for `APICallError` and only for the initial HTTP request\n 195→- Mid-stream parse errors (after HTTP 200) are never retried\n 196→- Other CLI agents (OpenAI Codex) handle this by skipping bad events or retrying the stream\n 197→- Propose: add `isRetryable` property, or provide a `onStreamParseError` callback, or expose a way to configure stream-level retry\n 198→\n 199→### 2. Kilo AI Gateway (`Kilo-Org`)\n 200→\n 201→**Title**: SSE stream corruption when proxying Kimi K2.5 — chunks concatenated without delimiters\n 202→\n 203→**Key points**:\n 204→- Two SSE events concatenated: `{\"id\":\"chatcmpl-jQugNdata:{\"id\":\"chatcmpl-iU6vk...`\n 205→- The `data:` prefix of the second event is embedded in the first event's JSON\n 206→- This violates the SSE specification (RFC)\n 207→- Timestamp: 2026-02-14T08:34:12Z\n 208→- Model: `moonshot/kimi-k2.5:free`\n 209→- Related: [Kilo-Org/kilocode #5433](https://github.com/Kilo-Org/kilocode/issues/5433)\n 210→\n 211→### 3. Moonshot (moonshotai/Kimi-K2-Instruct)\n 212→\n 213→**Title**: Kimi K2.5 SSE streaming produces malformed chunks\n 214→\n 215→**Key points**:\n 216→- SSE chunks appear to be truncated and concatenated at the origin level\n 217→- Multiple reports across different gateways (Kilo, OpenCode Zen)\n 218→- Related: [sglang #8613](https://github.com/sgl-project/sglang/issues/8613)\n 219→\n 220→## Conclusion\n 221→\n 222→The premature session termination was caused by a cascade of failures across four layers:\n 223→1. **Origin**: Kimi K2.5 or Kilo Gateway produced corrupted SSE chunks\n 224→2. **SDK**: Vercel AI SDK correctly detected the corruption but provided no retry/recovery path\n 225→3. **Agent**: Error classifier didn't recognize `AI_JSONParseError` as retryable\n 226→4. **Process**: Solve script misclassified the downstream effect as a usage limit\n 227→\n 228→The best defense is defense in depth:\n 229→- **Short-term**: Classify `AI_JSONParseError` as retryable (Solution 2, already implemented)\n 230→- **Medium-term**: Implement skip-and-continue for individual bad SSE events (Solution 1, Codex approach)\n 231→- **Long-term**: File upstream issues for proper fixes at gateway and SDK level (Solution 3)\n 232→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": "6-[2026-02-14T08:28:32.465Z] [INFO] 🚀 solve v1.23.1\n7-[2026-02-14T08:28:32.466Z] [INFO] 🔧 Raw command executed:\n8:[2026-02-14T08:28:32.466Z] [INFO] /home/hive/.nvm/versions/node/v20.20.0/bin/node /home/hive/.bun/bin/solve https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761 --tool agent --model kimi-k2.5-free --attach-logs --verbose --no-tool-check --auto-resume-on-limit-reset --tokens-budget-stats\n9-[2026-02-14T08:28:32.467Z] [INFO] \n10-[2026-02-14T08:28:32.867Z] [INFO] \n--\n239-[2026-02-14T08:29:05.843Z] [INFO] \n240-🤖 Executing Agent: KIMI-K2.5-FREE\n241:[2026-02-14T08:29:05.844Z] [INFO] Model: kimi-k2.5-free\n242-[2026-02-14T08:29:05.844Z] [INFO] Working directory: /tmp/gh-issue-solver-1771057721538\n243-[2026-02-14T08:29:05.844Z] [INFO] Branch: issue-761-a0caf45f6eba\n--\n250-[2026-02-14T08:29:05.890Z] [INFO] \n251-📝 Raw command: \n252:[2026-02-14T08:29:05.890Z] [INFO] (cd \"/tmp/gh-issue-solver-1771057721538\" && cat \"/tmp/agent_prompt_1771057745889_20633.txt\" | agent --model moonshot/kimi-k2.5-free --verbose)\n253-[2026-02-14T08:29:05.890Z] [INFO] \n254-[2026-02-14T08:29:05.890Z] [INFO] 📋 Command details: \n--\n282-[2026-02-14T08:29:06.479Z] [INFO] \"service\": \"default\",\n283-[2026-02-14T08:29:06.479Z] [INFO] \"version\": \"0.12.1\",\n284:[2026-02-14T08:29:06.479Z] [INFO] \"command\": \"/home/hive/.bun/bin/bun /home/hive/.bun/install/global/node_modules/@link-assistant/agent/src/index.js --model moonshot/kimi-k2.5-free --verbose\",\n285-[2026-02-14T08:29:06.479Z] [INFO] \"workingDirectory\": \"/tmp/gh-issue-solver-1771057721538\",\n286-[2026-02-14T08:29:06.479Z] [INFO] \"scriptPath\": \"/home/hive/.bun/install/global/node_modules/@link-assistant/agent/src/index.js\",\n--\n326-[2026-02-14T08:29:06.525Z] [INFO] \"service\": \"default\",\n327-[2026-02-14T08:29:06.525Z] [INFO] \"providerID\": \"opencode\",\n328:[2026-02-14T08:29:06.525Z] [INFO] \"modelID\": \"kimi-k2.5-free\",\n329-[2026-02-14T08:29:06.525Z] [INFO] \"message\": \"using explicit provider/model\"\n330-[2026-02-14T08:29:06.525Z] [INFO] }\n--\n588-[2026-02-14T08:29:06.624Z] [INFO] \"service\": \"provider\",\n589-[2026-02-14T08:29:06.625Z] [INFO] \"providerID\": \"opencode\",\n590:[2026-02-14T08:29:06.625Z] [INFO] \"modelID\": \"kimi-k2.5-free\",\n591-[2026-02-14T08:29:06.625Z] [INFO] \"message\": \"getModel\"\n592-[2026-02-14T08:29:06.625Z] [INFO] }\n--\n636-[2026-02-14T08:29:06.711Z] [INFO] \"service\": \"provider\",\n637-[2026-02-14T08:29:06.711Z] [INFO] \"providerID\": \"opencode\",\n638:[2026-02-14T08:29:06.711Z] [INFO] \"modelID\": \"kimi-k2.5-free\",\n639-[2026-02-14T08:29:06.711Z] [INFO] \"message\": \"found\"\n640-[2026-02-14T08:29:06.711Z] [INFO] }\n--\n31639-[2026-02-14T08:33:41.218Z] [INFO] \n31640-🤖 Executing Agent: KIMI-K2.5-FREE\n31641:[2026-02-14T08:33:41.218Z] [INFO] Model: kimi-k2.5-free\n31642-[2026-02-14T08:33:41.218Z] [INFO] Working directory: /tmp/gh-issue-solver-1771057721538\n31643-[2026-02-14T08:33:41.218Z] [INFO] Branch: issue-761-a0caf45f6eba\n--\n31650-[2026-02-14T08:33:41.262Z] [INFO] \n31651-📝 Raw command: \n\n[Showing results with pagination = limit: 50, offset: 0]" | |
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| "content": " 1→import type { Argv } from 'yargs';\n 2→import path from 'path';\n 3→import { UI } from '../ui';\n 4→import { cmd } from './cmd';\n 5→import { Flag } from '../../flag/flag';\n 6→import { Log } from '../../util/log';\n 7→import { bootstrap } from '../bootstrap';\n 8→import { Command } from '../../command';\n 9→import { EOL } from 'os';\n 10→import { select } from '@clack/prompts';\n 11→import { createOpencodeClient, type OpencodeClient } from '@opencode-ai/sdk';\n 12→import { Provider } from '../../provider/provider';\n 13→\n 14→const TOOL: Record<string, [string, string]> = {\n 15→ todowrite: ['Todo', UI.Style.TEXT_WARNING_BOLD],\n 16→ todoread: ['Todo', UI.Style.TEXT_WARNING_BOLD],\n 17→ bash: ['Bash', UI.Style.TEXT_DANGER_BOLD],\n 18→ edit: ['Edit', UI.Style.TEXT_SUCCESS_BOLD],\n 19→ glob: ['Glob', UI.Style.TEXT_INFO_BOLD],\n 20→ grep: ['Grep', UI.Style.TEXT_INFO_BOLD],\n 21→ list: ['List', UI.Style.TEXT_INFO_BOLD],\n 22→ read: ['Read', UI.Style.TEXT_HIGHLIGHT_BOLD],\n 23→ write: ['Write', UI.Style.TEXT_SUCCESS_BOLD],\n 24→ websearch: ['Search', UI.Style.TEXT_DIM_BOLD],\n 25→};\n 26→\n 27→export const RunCommand = cmd({\n 28→ command: 'run [message..]',\n 29→ describe: 'run opencode with a message',\n 30→ builder: (yargs: Argv) => {\n 31→ return yargs\n 32→ .positional('message', {\n 33→ describe: 'message to send',\n 34→ type: 'string',\n 35→ array: true,\n 36→ default: [],\n 37→ })\n 38→ .option('command', {\n 39→ describe: 'the command to run, use message for args',\n 40→ type: 'string',\n 41→ })\n 42→ .option('continue', {\n 43→ alias: ['c'],\n 44→ describe: 'continue the last session',\n 45→ type: 'boolean',\n 46→ })\n 47→ .option('session', {\n 48→ alias: ['s'],\n 49→ describe: 'session id to continue',\n 50→ type: 'string',\n 51→ })\n 52→ .option('model', {\n 53→ type: 'string',\n 54→ alias: ['m'],\n 55→ describe: 'model to use in the format of provider/model',\n 56→ })\n 57→ .option('agent', {\n 58→ type: 'string',\n 59→ describe: 'agent to use',\n 60→ })\n 61→ .option('format', {\n 62→ type: 'string',\n 63→ choices: ['default', 'json'],\n 64→ default: 'default',\n 65→ describe: 'format: default (formatted) or json (raw JSON events)',\n 66→ })\n 67→ .option('file', {\n 68→ alias: ['f'],\n 69→ type: 'string',\n 70→ array: true,\n 71→ describe: 'file(s) to attach to message',\n 72→ })\n 73→ .option('title', {\n 74→ type: 'string',\n 75→ describe:\n 76→ 'title for the session (uses truncated prompt if no value provided)',\n 77→ })\n 78→ .option('attach', {\n 79→ type: 'string',\n 80→ describe:\n 81→ 'attach to a running opencode server (e.g., http://localhost:4096)',\n 82→ })\n 83→ .option('port', {\n 84→ type: 'number',\n 85→ describe:\n 86→ 'port for the local server (defaults to random port if no value provided)',\n 87→ })\n 88→ .option('system-message', {\n 89→ type: 'string',\n 90→ describe: 'full override of the system message',\n 91→ })\n 92→ .option('system-message-file', {\n 93→ type: 'string',\n 94→ describe: 'full override of the system message from file',\n 95→ })\n 96→ .option('append-system-message', {\n 97→ type: 'string',\n 98→ describe: 'append to the default system message',\n 99→ })\n 100→ .option('append-system-message-file', {\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": "js/CHANGELOG.md:32: - Add resolveShortModelName() to route short model names to providers\njs/CHANGELOG.md:33: - Add parseModelWithResolution() for model string parsing with resolution\njs/src/index.js:182: // Import Provider to use parseModelWithResolution\njs/src/index.js:184: const resolved = await Provider.parseModelWithResolution(modelArg);\njs/src/index.js:323: // This allows parseModelWithResolution to access the provider state\njs/src/index.js:399: // This allows parseModelWithResolution to access the provider state\njs/experiments/test-model-routing.ts:3: * Tests the new parseModelWithResolution and resolveShortModelName functions\njs/experiments/test-model-routing.ts:91: const result = await Provider.parseModelWithResolution(test.input);\njs/src/provider/provider.ts:1402: export async function resolveShortModelName(\njs/src/provider/provider.ts:1484: export async function parseModelWithResolution(\njs/src/provider/provider.ts:1494: const resolved = await resolveShortModelName(model);" | |
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| "content": " 1→#!/usr/bin/env bun\n 2→\n 3→import { setProcessName } from './cli/process-name.ts';\n 4→\n 5→setProcessName('agent');\n 6→\n 7→import { Server } from './server/server.ts';\n 8→import { Instance } from './project/instance.ts';\n 9→import { Log } from './util/log.ts';\n 10→// Bus is used via createBusEventSubscription in event-handler.js\n 11→import { Session } from './session/index.ts';\n 12→import { SessionPrompt } from './session/prompt.ts';\n 13→// EOL is reserved for future use\n 14→import yargs from 'yargs';\n 15→import { hideBin } from 'yargs/helpers';\n 16→import {\n 17→ createEventHandler,\n 18→ isValidJsonStandard,\n 19→} from './json-standard/index.ts';\n 20→import { McpCommand } from './cli/cmd/mcp.ts';\n 21→import { AuthCommand } from './cli/cmd/auth.ts';\n 22→import { Flag } from './flag/flag.ts';\n 23→import { FormatError } from './cli/error.ts';\n 24→import { UI } from './cli/ui.ts';\n 25→import {\n 26→ runContinuousServerMode,\n 27→ runContinuousDirectMode,\n 28→ resolveResumeSession,\n 29→} from './cli/continuous-mode.js';\n 30→import { createBusEventSubscription } from './cli/event-handler.js';\n 31→import {\n 32→ outputStatus,\n 33→ outputError,\n 34→ outputHelp,\n 35→ setCompactJson,\n 36→ outputInput,\n 37→} from './cli/output.ts';\n 38→import stripAnsi from 'strip-ansi';\n 39→import { createRequire } from 'module';\n 40→import { readFileSync } from 'fs';\n 41→import { dirname, join } from 'path';\n 42→import { fileURLToPath } from 'url';\n 43→\n 44→const require = createRequire(import.meta.url);\n 45→let pkg;\n 46→try {\n 47→ pkg = require('../package.json');\n 48→} catch (_e) {\n 49→ // Fallback: read package.json directly\n 50→ const __dirname = dirname(fileURLToPath(import.meta.url));\n 51→ const pkgPath = join(__dirname, '../package.json');\n 52→ const pkgContent = readFileSync(pkgPath, 'utf8');\n 53→ pkg = JSON.parse(pkgContent);\n 54→}\n 55→\n 56→// Track if any errors occurred during execution\n 57→let hasError = false;\n 58→\n 59→// Install global error handlers to ensure non-zero exit codes\n 60→process.on('uncaughtException', (error) => {\n 61→ hasError = true;\n 62→ outputError({\n 63→ errorType: error.name || 'UncaughtException',\n 64→ message: error.message,\n 65→ stack: error.stack,\n 66→ });\n 67→ process.exit(1);\n 68→});\n 69→\n 70→process.on('unhandledRejection', (reason, _promise) => {\n 71→ hasError = true;\n 72→ const errorOutput = {\n 73→ errorType: 'UnhandledRejection',\n 74→ message: reason?.message || String(reason),\n 75→ stack: reason?.stack,\n 76→ };\n 77→ // If the error has a data property with a suggestion (e.g., ProviderModelNotFoundError), add it as a hint\n 78→ if (reason?.data?.suggestion) {\n 79→ errorOutput.hint = reason.data.suggestion;\n 80→ }\n 81→ outputError(errorOutput);\n 82→ process.exit(1);\n 83→});\n 84→\n 85→/**\n 86→ * Read stdin with optional timeout.\n 87→ * @param {number|null} timeout - Timeout in milliseconds. If null, wait indefinitely until EOF.\n 88→ * @returns {Promise<string>} - The stdin content\n 89→ */\n 90→function readStdinWithTimeout(timeout = null) {\n 91→ return new Promise((resolve) => {\n 92→ let data = '';\n 93→ let hasData = false;\n 94→ let timer = null;\n 95→\n 96→ const cleanup = () => {\n 97→ if (timer) {\n 98→ clearTimeout(timer);\n 99→ }\n 100→ process.stdin.removeListener('data', onData);\n 101→ process.stdin.removeListener('end', onEnd);\n 102→ process.stdin.removeListener('error', onError);\n 103→ };\n 104→\n 105→ const onData = (chunk) => {\n 106→ hasData = true;\n 107→ if (timer) {\n 108→ clearTimeout(timer);\n 109→ }\n 110→ data += chunk;\n 111→ };\n 112→\n 113→ const onEnd = () => {\n 114→ cleanup();\n 115→ resolve(data);\n 116→ };\n 117→\n 118→ const onError = () => {\n 119→ cleanup();\n 120→ resolve('');\n 121→ };\n 122→\n 123→ // Only set timeout if specified (not null)\n 124→ if (timeout !== null) {\n 125→ timer = setTimeout(() => {\n 126→ if (!hasData) {\n 127→ process.stdin.pause();\n 128→ cleanup();\n 129→ resolve('');\n 130→ }\n 131→ }, timeout);\n 132→ }\n 133→\n 134→ process.stdin.on('data', onData);\n 135→ process.stdin.on('end', onEnd);\n 136→ process.stdin.on('error', onError);\n 137→ });\n 138→}\n 139→\n 140→// outputStatus is now imported from './cli/output.ts'\n 141→// It outputs to stdout for non-error messages, stderr for errors\n 142→\n 143→/**\n 144→ * Parse model configuration from argv\n 145→ * Supports both explicit provider/model format and short model names.\n 146→ *\n 147→ * Format examples:\n 148→ * - \"kilo/glm-5-free\" -> uses kilo provider with glm-5-free model (explicit)\n 149→ * - \"opencode/kimi-k2.5-free\" -> uses opencode provider (explicit)\n 150→ * - \"glm-5-free\" -> resolved to kilo provider (unique free model)\n 151→ * - \"kimi-k2.5-free\" -> resolved to opencode provider (shared model, opencode preferred)\n 152→ *\n 153→ * @param {object} argv - Command line arguments\n 154→ * @returns {object} - { providerID, modelID }\n 155→ */\n 156→async function parseModelConfig(argv) {\n 157→ const modelArg = argv.model;\n 158→\n 159→ let providerID;\n 160→ let modelID;\n 161→\n 162→ // Check if model includes explicit provider prefix\n 163→ if (modelArg.includes('/')) {\n 164→ // Explicit provider/model format - respect user's choice\n 165→ const modelParts = modelArg.split('/');\n 166→ providerID = modelParts[0];\n 167→ modelID = modelParts.slice(1).join('/');\n 168→\n 169→ // Validate that providerID and modelID are not empty\n 170→ if (!providerID || !modelID) {\n 171→ providerID = providerID || 'opencode';\n 172→ modelID = modelID || 'kimi-k2.5-free';\n 173→ }\n 174→\n 175→ Log.Default.info(() => ({\n 176→ message: 'using explicit provider/model',\n 177→ providerID,\n 178→ modelID,\n 179→ }));\n 180→ } else {\n 181→ // Short model name - resolve to appropriate provider\n 182→ // Import Provider to use parseModelWithResolution\n 183→ const { Provider } = await import('./provider/provider.ts');\n 184→ const resolved = await Provider.parseModelWithResolution(modelArg);\n 185→ providerID = resolved.providerID;\n 186→ modelID = resolved.modelID;\n 187→\n 188→ Log.Default.info(() => ({\n 189→ message: 'resolved short model name',\n 190→ input: modelArg,\n 191→ providerID,\n 192→ modelID,\n 193→ }));\n 194→ }\n 195→\n 196→ // Handle --use-existing-claude-oauth option\n 197→ // This reads OAuth credentials from ~/.claude/.credentials.json (Claude Code CLI)\n 198→ // For new authentication, use: agent auth login (select Anthropic > Claude Pro/Max)\n 199→ if (argv['use-existing-claude-oauth']) {\n 200→ // Import ClaudeOAuth to check for credentials from Claude Code CLI\n 201→ const { ClaudeOAuth } = await import('./auth/claude-oauth.ts');\n 202→ const creds = await ClaudeOAuth.getCredentials();\n 203→\n 204→ if (!creds?.accessToken) {\n 205→ const compactJson = argv['compact-json'] === true;\n 206→ outputError(\n 207→ {\n 208→ errorType: 'AuthenticationError',\n 209→ message:\n 210→ 'No Claude OAuth credentials found in ~/.claude/.credentials.json. Either authenticate with Claude Code CLI first, or use: agent auth login (select Anthropic > Claude Pro/Max)',\n 211→ },\n 212→ compactJson\n 213→ );\n 214→ process.exit(1);\n 215→ }\n 216→\n 217→ // Set environment variable for the provider to use\n 218→ process.env.CLAUDE_CODE_OAUTH_TOKEN = creds.accessToken;\n 219→\n 220→ // If user specified the default model (opencode/kimi-k2.5-free), switch to claude-oauth\n 221→ // If user explicitly specified kilo or another provider, warn but respect their choice\n 222→ if (providerID === 'opencode' && modelID === 'kimi-k2.5-free') {\n 223→ providerID = 'claude-oauth';\n 224→ modelID = 'claude-sonnet-4-5';\n 225→ } else if (!['claude-oauth', 'anthropic'].includes(providerID)) {\n 226→ // If user specified a different provider explicitly, warn them\n 227→ const compactJson = argv['compact-json'] === true;\n 228→ outputStatus(\n 229→ {\n 230→ type: 'warning',\n 231→ message: `--use-existing-claude-oauth is set but model uses provider \"${providerID}\". Using specified provider.`,\n 232→ },\n 233→ compactJson\n 234→ );\n 235→ // Don't override - respect user's explicit provider choice\n 236→ }\n 237→ }\n 238→\n 239→ return { providerID, modelID };\n 240→}\n 241→\n 242→/**\n 243→ * Read system message from files if specified\n 244→ * @param {object} argv - Command line arguments\n 245→ * @returns {object} - { systemMessage, appendSystemMessage }\n 246→ */\n 247→async function readSystemMessages(argv) {\n 248→ let systemMessage = argv['system-message'];\n 249→ let appendSystemMessage = argv['append-system-message'];\n 250→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": "27-[2026-02-14T08:28:37.905Z] [INFO] 🧠 Memory check: 11553MB available, swap: 4095MB (0MB used), total: 15648MB (256MB required) ✅\n28-[2026-02-14T08:28:37.921Z] [INFO] ⏩ Skipping tool connection validation (dry-run mode or skip-tool-connection-check enabled)\n29-[2026-02-14T08:28:37.921Z] [INFO] ⏩ Skipping GitHub authentication check (dry-run mode or skip-tool-connection-check enabled)\n30:[2026-02-14T08:28:37.921Z] [INFO] 📋 URL validation:\n31:[2026-02-14T08:28:37.922Z] [INFO] Input URL: https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761\n32:[2026-02-14T08:28:37.922Z] [INFO] Is Issue URL: true\n33:[2026-02-14T08:28:37.922Z] [INFO] Is PR URL: false\n34-[2026-02-14T08:28:37.922Z] [INFO] 🔍 Checking repository access for auto-fork...\n35-[2026-02-14T08:28:38.738Z] [INFO] Repository visibility: public\n36-[2026-02-14T08:28:38.738Z] [INFO] ✅ Auto-fork: No write access detected, enabling fork mode\n--\n107-[2026-02-14T08:28:51.339Z] [INFO] \n108-[2026-02-14T08:28:51.339Z] [INFO] Using .gitkeep mode (--claude-file=false, --gitkeep-file=true, --auto-gitkeep-file=true)\n109-[2026-02-14T08:28:51.340Z] [INFO] 📝 Creating: .gitkeep (explicit --gitkeep-file)\n110:[2026-02-14T08:28:51.340Z] [INFO] Issue URL from argv['issue-url']: https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761\n111:[2026-02-14T08:28:51.340Z] [INFO] Issue URL from argv._[0]: undefined\n112:[2026-02-14T08:28:51.340Z] [INFO] Final issue URL: https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761\n113-[2026-02-14T08:28:51.341Z] [INFO] ✅ File created: .gitkeep\n114-[2026-02-14T08:28:51.341Z] [INFO] 📦 Adding file: To git staging\n115-[2026-02-14T08:28:51.425Z] [INFO] Git status after add: A .gitkeep\n--\n184-[2026-02-14T08:28:58.358Z] [INFO] 🔍 Verifying: PR creation...\n185-[2026-02-14T08:28:58.679Z] [INFO] ✅ Verification: PR exists on GitHub\n186-[2026-02-14T08:28:58.679Z] [INFO] ✅ PR created: #778\n187:[2026-02-14T08:28:58.680Z] [INFO] 📍 PR URL: https://github.com/Jhon-Crow/godot-topdown-MVP/pull/778\n188-[2026-02-14T08:28:58.680Z] [INFO] ℹ️ Note: Could not assign (no permission)\n189-[2026-02-14T08:28:58.680Z] [INFO] 🔗 Linking: Issue #761 to PR #778...\n190-[2026-02-14T08:28:58.975Z] [INFO] Issue node ID: I_kwDOQ35BQ87qZW43\n--\n398-[2026-02-14T08:29:06.559Z] [INFO] {\n399-[2026-02-14T08:29:06.559Z] [INFO] \"type\": \"input\",\n400-[2026-02-14T08:29:06.560Z] [INFO] \"timestamp\": \"2026-02-14T08:29:06.558Z\",\n401:[Omitted long matching line]\n402-[2026-02-14T08:29:06.560Z] [INFO] \"parsed\": {\n403:[Omitted long matching line]\n404-[2026-02-14T08:29:06.561Z] [INFO] },\n405-[2026-02-14T08:29:06.561Z] [INFO] \"format\": \"text\"\n406-[2026-02-14T08:29:06.561Z] [INFO] }\n--\n5080-[2026-02-14T08:29:25.724Z] [INFO] \"input\": {\n5081-[2026-02-14T08:29:25.725Z] [INFO] \"filePath\": \"/tmp/gh-issue-solver-1771057721538/Scripts/Weapons/Shotgun.cs\"\n5082-[2026-02-14T08:29:25.725Z] [INFO] },\n5083:[Omitted long matching line]\n5084-[Omitted long context line]\n5085-[2026-02-14T08:29:25.729Z] [INFO] \"title\": \"Scripts/Weapons/Shotgun.cs\",\n5086-[2026-02-14T08:29:25.729Z] [INFO] \"metadata\": {\n--\n15451-[Omitted long context line]\n15452-[2026-02-14T08:30:22.233Z] [INFO] \"filediff\": {\n15453-[2026-02-14T08:30:22.233Z] [INFO] \"file\": \"/tmp/gh-issue-solver-1771057721538/Scripts/Weapons/Shotgun.cs\",\n15454:[Omitted long matching line]\n15455:[Omitted long matching line]\n15456:[Omitted long matching line]\n15457:[Omitted long matching line]\n15458-[2026-02-14T08:30:22.241Z] [INFO] \"additions\": 13,\n15459-[2026-02-14T08:30:22.241Z] [INFO] \"deletions\": 0\n15460-[2026-02-14T08:30:22.241Z] [INFO] }\n--\n16959-[Omitted long context line]\n16960-[2026-02-14T08:30:31.175Z] [INFO] \"filediff\": {\n\n[Showing results with pagination = limit: 60, offset: 0]" | |
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| "content": "81-[2026-02-14T08:28:43.271Z] [INFO] 🔍 Validating fork parent... \n82-[2026-02-14T08:28:43.732Z] [INFO] ✅ Fork parent validated: Jhon-Crow/godot-topdown-MVP\n83-[2026-02-14T08:28:43.734Z] [INFO] \n84-📥 Cloning repository: konard/Jhon-Crow-godot-topdown-MVP\n85-[2026-02-14T08:28:48.186Z] [INFO] ✅ Cloned to: /tmp/gh-issue-solver-1771057721538\n86:[2026-02-14T08:28:48.225Z] [INFO] 🔗 Setting upstream: Jhon-Crow/godot-topdown-MVP\n87:[2026-02-14T08:28:48.264Z] [INFO] ℹ️ Upstream exists: Using existing upstream remote\n88:[2026-02-14T08:28:48.264Z] [INFO] 🔄 Fetching upstream... \n89:[2026-02-14T08:28:48.607Z] [INFO] ✅ Upstream fetched: Successfully\n90-[2026-02-14T08:28:48.607Z] [INFO] 🔄 Syncing default branch... \n91-[2026-02-14T08:28:48.956Z] [INFO] ℹ️ Default branch: main\n92:[2026-02-14T08:28:50.328Z] [INFO] ✅ Default branch synced: with upstream/main\n93-[2026-02-14T08:28:50.329Z] [INFO] 🔄 Pushing to fork: main branch\n94-[2026-02-14T08:28:51.098Z] [INFO] ✅ Fork updated: Default branch pushed to fork\n95-[2026-02-14T08:28:51.209Z] [INFO] \n96-📌 Default branch: main\n97-[2026-02-14T08:28:51.257Z] [INFO] \n--\n259-[2026-02-14T08:29:05.891Z] [INFO] \n260-▶️ Streaming output: \n261-\n262-[2026-02-14T08:29:06.470Z] [INFO] {\n263-[2026-02-14T08:29:06.471Z] [INFO] \"type\": \"status\",\n264:[2026-02-14T08:29:06.471Z] [INFO] \"mode\": \"stdin-stream\",\n265-[2026-02-14T08:29:06.472Z] [INFO] \"message\": \"Agent CLI in continuous listening mode. 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| "content": " 1→/**\n 2→ * Test script for model routing logic\n 3→ * Tests the new parseModelWithResolution and resolveShortModelName functions\n 4→ *\n 5→ * Run with: bun run experiments/test-model-routing.ts\n 6→ */\n 7→\n 8→import { Provider } from '../src/provider/provider';\n 9→import { Instance } from '../src/project/instance';\n 10→\n 11→async function testModelRouting() {\n 12→ console.log('=== Model Routing Tests ===\\n');\n 13→\n 14→ // Debug: Check what providers are available\n 15→ const providers = await Provider.list();\n 16→ console.log('Available providers:', Object.keys(providers));\n 17→ for (const [id, p] of Object.entries(providers)) {\n 18→ const modelKeys = Object.keys(p.info.models);\n 19→ console.log(\n 20→ ` ${id}: ${modelKeys.length} models - ${modelKeys.slice(0, 5).join(', ')}${modelKeys.length > 5 ? '...' : ''}`\n 21→ );\n 22→ if (modelKeys.includes('minimax-m2.1-free')) {\n 23→ console.log(` ↳ has minimax-m2.1-free`);\n 24→ }\n 25→ }\n 26→ console.log('');\n 27→\n 28→ const testCases = [\n 29→ // Explicit provider tests\n 30→ {\n 31→ input: 'kilo/glm-5-free',\n 32→ expectedProvider: 'kilo',\n 33→ expectedModel: 'glm-5-free',\n 34→ description: 'Explicit kilo provider',\n 35→ },\n 36→ {\n 37→ input: 'opencode/kimi-k2.5-free',\n 38→ expectedProvider: 'opencode',\n 39→ expectedModel: 'kimi-k2.5-free',\n 40→ description: 'Explicit opencode provider',\n 41→ },\n 42→ {\n 43→ input: 'kilo/kimi-k2.5-free',\n 44→ expectedProvider: 'kilo',\n 45→ expectedModel: 'kimi-k2.5-free',\n 46→ description: 'Explicit kilo with shared model',\n 47→ },\n 48→\n 49→ // Short model name tests (unique to Kilo)\n 50→ {\n 51→ input: 'glm-5-free',\n 52→ expectedProvider: 'kilo',\n 53→ expectedModel: 'glm-5-free',\n 54→ description: 'Short name - GLM-5 (Kilo unique)',\n 55→ },\n 56→ {\n 57→ input: 'glm-4.7-free',\n 58→ expectedProvider: 'kilo',\n 59→ expectedModel: 'glm-4.7-free',\n 60→ description: 'Short name - GLM-4.7 (Kilo unique)',\n 61→ },\n 62→\n 63→ // Short model name tests (shared models - prefer OpenCode)\n 64→ {\n 65→ input: 'kimi-k2.5-free',\n 66→ expectedProvider: 'opencode',\n 67→ expectedModel: 'kimi-k2.5-free',\n 68→ description: 'Short name - Kimi K2.5 (shared, prefer OpenCode)',\n 69→ },\n 70→ // Note: minimax-m2.1-free is ONLY in Kilo (OpenCode has minimax-m2.5-free instead)\n 71→ {\n 72→ input: 'minimax-m2.1-free',\n 73→ expectedProvider: 'kilo',\n 74→ expectedModel: 'minimax-m2.1-free',\n 75→ description: 'Short name - MiniMax M2.1 (Kilo unique)',\n 76→ },\n 77→ // Test OpenCode's minimax variant\n 78→ {\n 79→ input: 'minimax-m2.5-free',\n 80→ expectedProvider: 'opencode',\n 81→ expectedModel: 'minimax-m2.5-free',\n 82→ description: 'Short name - MiniMax M2.5 (OpenCode unique)',\n 83→ },\n 84→ ];\n 85→\n 86→ let passed = 0;\n 87→ let failed = 0;\n 88→\n 89→ for (const test of testCases) {\n 90→ try {\n 91→ const result = await Provider.parseModelWithResolution(test.input);\n 92→ const success =\n 93→ result.providerID === test.expectedProvider &&\n 94→ result.modelID === test.expectedModel;\n 95→\n 96→ if (success) {\n 97→ console.log(`✅ ${test.description}`);\n 98→ console.log(\n 99→ ` Input: \"${test.input}\" -> Provider: \"${result.providerID}\", Model: \"${result.modelID}\"`\n 100→ );\n 101→ passed++;\n 102→ } else {\n 103→ console.log(`❌ ${test.description}`);\n 104→ console.log(` Input: \"${test.input}\"`);\n 105→ console.log(\n 106→ ` Expected: Provider: \"${test.expectedProvider}\", Model: \"${test.expectedModel}\"`\n 107→ );\n 108→ console.log(\n 109→ ` Got: Provider: \"${result.providerID}\", Model: \"${result.modelID}\"`\n 110→ );\n 111→ failed++;\n 112→ }\n 113→ } catch (error) {\n 114→ console.log(`❌ ${test.description}`);\n 115→ console.log(` Input: \"${test.input}\"`);\n 116→ console.log(\n 117→ ` Error: ${error instanceof Error ? error.message : String(error)}`\n 118→ );\n 119→ failed++;\n 120→ }\n 121→ console.log();\n 122→ }\n 123→\n 124→ console.log('=== Test Summary ===');\n 125→ console.log(`Passed: ${passed}/${testCases.length}`);\n 126→ console.log(`Failed: ${failed}/${testCases.length}`);\n 127→\n 128→ if (failed > 0) {\n 129→ process.exit(1);\n 130→ }\n 131→}\n 132→\n 133→// Test rate limit alternatives\n 134→async function testRateLimitAlternatives() {\n 135→ console.log('\\n=== Rate Limit Alternative Tests ===\\n');\n 136→\n 137→ const testCases = [\n 138→ // Shared model, no explicit provider - should have alternatives\n 139→ {\n 140→ modelID: 'kimi-k2.5-free',\n 141→ failedProviderID: 'opencode',\n 142→ wasExplicit: false,\n 143→ expectAlternatives: ['kilo'],\n 144→ description: 'Shared model without explicit provider',\n 145→ },\n 146→ // Shared model, explicit provider - should NOT have alternatives\n 147→ {\n 148→ modelID: 'kimi-k2.5-free',\n 149→ failedProviderID: 'opencode',\n 150→ wasExplicit: true,\n 151→ expectAlternatives: [],\n 152→ description: 'Shared model with explicit provider (no fallback)',\n 153→ },\n 154→ // Unique model - should NOT have alternatives\n 155→ {\n 156→ modelID: 'glm-5-free',\n 157→ failedProviderID: 'kilo',\n 158→ wasExplicit: false,\n 159→ expectAlternatives: [],\n 160→ description: 'Unique model (no alternatives available)',\n 161→ },\n 162→ ];\n 163→\n 164→ let passed = 0;\n 165→ let failed = 0;\n 166→\n 167→ for (const test of testCases) {\n 168→ try {\n 169→ const alternatives = await Provider.getAlternativeProviders(\n 170→ test.modelID,\n 171→ test.failedProviderID,\n 172→ test.wasExplicit\n 173→ );\n 174→\n 175→ const expected = JSON.stringify(test.expectAlternatives.sort());\n 176→ const actual = JSON.stringify(alternatives.sort());\n 177→ const success = expected === actual;\n 178→\n 179→ if (success) {\n 180→ console.log(`✅ ${test.description}`);\n 181→ console.log(\n 182→ ` Alternatives: ${alternatives.length > 0 ? alternatives.join(', ') : '(none)'}`\n 183→ );\n 184→ passed++;\n 185→ } else {\n 186→ console.log(`❌ ${test.description}`);\n 187→ console.log(\n 188→ ` Expected alternatives: ${test.expectAlternatives.join(', ') || '(none)'}`\n 189→ );\n 190→ console.log(\n 191→ ` Got alternatives: ${alternatives.join(', ') || '(none)'}`\n 192→ );\n 193→ failed++;\n 194→ }\n 195→ } catch (error) {\n 196→ console.log(`❌ ${test.description}`);\n 197→ console.log(\n 198→ ` Error: ${error instanceof Error ? error.message : String(error)}`\n 199→ );\n 200→ failed++;\n 201→ }\n 202→ console.log();\n 203→ }\n 204→\n 205→ console.log('=== Alternative Tests Summary ===');\n 206→ console.log(`Passed: ${passed}/${testCases.length}`);\n 207→ console.log(`Failed: ${failed}/${testCases.length}`);\n 208→\n 209→ if (failed > 0) {\n 210→ process.exit(1);\n 211→ }\n 212→}\n 213→\n 214→// Run tests\n 215→async function main() {\n 216→ console.log('Model Routing Test Suite\\n');\n 217→ console.log('This test verifies the model routing logic for issue #165.\\n');\n 218→\n 219→ // Get current directory for Instance.provide\n 220→ const directory = process.cwd();\n 221→\n 222→ // Run tests inside Instance.provide context (required for provider state)\n 223→ await Instance.provide({\n 224→ directory,\n 225→ fn: async () => {\n 226→ await testModelRouting();\n 227→ await testRateLimitAlternatives();\n 228→ },\n 229→ });\n 230→\n 231→ console.log('\\n✅ All tests passed!');\n 232→}\n 233→\n 234→main().catch((error) => {\n 235→ console.error('Test failed:', error);\n 236→ process.exit(1);\n 237→});\n 238→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "type": "tool_result", | |
| "content": " 36200→[2026-02-14T08:34:09.374Z] [INFO] \"service\": \"bus\",\n 36201→[2026-02-14T08:34:09.375Z] [INFO] \"message\": \"publishing\"\n 36202→[2026-02-14T08:34:09.375Z] [INFO] }\n 36203→[2026-02-14T08:34:09.375Z] [INFO] {\n 36204→[2026-02-14T08:34:09.375Z] [INFO] \"type\": \"message.part.updated\",\n 36205→[2026-02-14T08:34:09.375Z] [INFO] \"level\": \"info\",\n 36206→[2026-02-14T08:34:09.375Z] [INFO] \"timestamp\": \"2026-02-14T08:34:09.372Z\",\n 36207→[2026-02-14T08:34:09.375Z] [INFO] \"service\": \"bus\",\n 36208→[2026-02-14T08:34:09.375Z] [INFO] \"message\": \"publishing\"\n 36209→[2026-02-14T08:34:09.375Z] [INFO] }\n 36210→[2026-02-14T08:34:09.387Z] [INFO] {\n 36211→[2026-02-14T08:34:09.388Z] [INFO] \"type\": \"message.part.updated\",\n 36212→[2026-02-14T08:34:09.388Z] [INFO] \"level\": \"info\",\n 36213→[2026-02-14T08:34:09.388Z] [INFO] \"timestamp\": \"2026-02-14T08:34:09.387Z\",\n 36214→[2026-02-14T08:34:09.388Z] [INFO] \"service\": \"bus\",\n 36215→[2026-02-14T08:34:09.388Z] [INFO] \"message\": \"publishing\"\n 36216→[2026-02-14T08:34:09.388Z] [INFO] }\n 36217→[2026-02-14T08:34:09.449Z] [INFO] {\n 36218→[2026-02-14T08:34:09.450Z] [INFO] \"type\": \"message.part.updated\",\n 36219→[2026-02-14T08:34:09.450Z] [INFO] \"level\": \"info\",\n 36220→[2026-02-14T08:34:09.450Z] [INFO] \"timestamp\": \"2026-02-14T08:34:09.449Z\",\n 36221→[2026-02-14T08:34:09.450Z] [INFO] \"service\": \"bus\",\n 36222→[2026-02-14T08:34:09.450Z] [INFO] \"message\": \"publishing\"\n 36223→[2026-02-14T08:34:09.450Z] [INFO] }\n 36224→[2026-02-14T08:34:09.451Z] [INFO] {\n 36225→[2026-02-14T08:34:09.451Z] [INFO] \"type\": \"message.part.updated\",\n 36226→[2026-02-14T08:34:09.451Z] [INFO] \"level\": \"info\",\n 36227→[2026-02-14T08:34:09.451Z] [INFO] \"timestamp\": \"2026-02-14T08:34:09.449Z\",\n 36228→[2026-02-14T08:34:09.451Z] [INFO] \"service\": \"bus\",\n 36229→[2026-02-14T08:34:09.451Z] [INFO] \"message\": \"publishing\"\n 36230→[2026-02-14T08:34:09.451Z] [INFO] }\n 36231→[2026-02-14T08:34:09.451Z] [INFO] {\n 36232→[2026-02-14T08:34:09.451Z] [INFO] \"type\": \"message.part.updated\",\n 36233→[2026-02-14T08:34:09.452Z] [INFO] \"level\": \"info\",\n 36234→[2026-02-14T08:34:09.452Z] [INFO] \"timestamp\": \"2026-02-14T08:34:09.449Z\",\n 36235→[2026-02-14T08:34:09.452Z] [INFO] \"service\": \"bus\",\n 36236→[2026-02-14T08:34:09.452Z] [INFO] \"message\": \"publishing\"\n 36237→[2026-02-14T08:34:09.452Z] [INFO] }\n 36238→[2026-02-14T08:34:12.210Z] [INFO] {\n 36239→[2026-02-14T08:34:12.211Z] [INFO] \"type\": \"log\",\n 36240→[2026-02-14T08:34:12.211Z] [INFO] \"level\": \"error\",\n 36241→[2026-02-14T08:34:12.211Z] [INFO] \"timestamp\": \"2026-02-14T08:34:12.210Z\",\n 36242→[2026-02-14T08:34:12.212Z] [INFO] \"service\": \"session.prompt\",\n 36243→[2026-02-14T08:34:12.212Z] [INFO] \"error\": {\n 36244→[2026-02-14T08:34:12.212Z] [INFO] \"error\": {\n 36245→[2026-02-14T08:34:12.212Z] [INFO] \"name\": \"AI_JSONParseError\",\n 36246→[2026-02-14T08:34:12.212Z] [INFO] \"cause\": {},\n 36247→[2026-02-14T08:34:12.212Z] [INFO] \"text\": \"{\\\"id\\\":\\\"chatcmpl-jQugNdata:{\\\"id\\\":\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\",\\\"object\\\":\\\"chat.completion.chunk\\\",\\\"created\\\":1771058051,\\\"model\\\":\\\"kimi-k2.5\\\",\\\"choices\\\":[{\\\"index\\\":0,\\\"delta\\\":{\\\"role\\\":\\\"assistant\\\",\\\"content\\\":\\\"\\\"},\\\"finish_reason\\\":null}],\\\"system_fingerprint\\\":\\\"fpv0_f7e5c49a\\\"}\"\n 36248→[2026-02-14T08:34:12.213Z] [INFO] }\n 36249→[2026-02-14T08:34:12.213Z] [INFO] },\n 36250→[2026-02-14T08:34:12.213Z] [INFO] \"message\": \"stream error\"\n 36251→[2026-02-14T08:34:12.213Z] [INFO] }\n 36252→[2026-02-14T08:34:12.213Z] [INFO] {\n 36253→[2026-02-14T08:34:12.213Z] [INFO] \"type\": \"log\",\n 36254→[2026-02-14T08:34:12.214Z] [INFO] \"level\": \"error\",\n 36255→[2026-02-14T08:34:12.214Z] [INFO] \"timestamp\": \"2026-02-14T08:34:12.211Z\",\n 36256→[2026-02-14T08:34:12.214Z] [INFO] \"service\": \"session.processor\",\n 36257→[2026-02-14T08:34:12.214Z] [INFO] \"error\": {\n 36258→[2026-02-14T08:34:12.214Z] [INFO] \"name\": \"AI_JSONParseError\",\n 36259→[2026-02-14T08:34:12.214Z] [INFO] \"cause\": {},\n 36260→[2026-02-14T08:34:12.215Z] [INFO] \"text\": \"{\\\"id\\\":\\\"chatcmpl-jQugNdata:{\\\"id\\\":\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\",\\\"object\\\":\\\"chat.completion.chunk\\\",\\\"created\\\":1771058051,\\\"model\\\":\\\"kimi-k2.5\\\",\\\"choices\\\":[{\\\"index\\\":0,\\\"delta\\\":{\\\"role\\\":\\\"assistant\\\",\\\"content\\\":\\\"\\\"},\\\"finish_reason\\\":null}],\\\"system_fingerprint\\\":\\\"fpv0_f7e5c49a\\\"}\"\n 36261→[2026-02-14T08:34:12.215Z] [INFO] },\n 36262→[2026-02-14T08:34:12.215Z] [INFO] \"message\": \"process\"\n 36263→[2026-02-14T08:34:12.215Z] [INFO] }\n 36264→[2026-02-14T08:34:12.215Z] [INFO] {\n 36265→[2026-02-14T08:34:12.215Z] [INFO] \"type\": \"session.error\",\n 36266→[2026-02-14T08:34:12.215Z] [INFO] \"level\": \"info\",\n 36267→[2026-02-14T08:34:12.216Z] [INFO] \"timestamp\": \"2026-02-14T08:34:12.211Z\",\n 36268→[2026-02-14T08:34:12.216Z] [INFO] \"service\": \"bus\",\n 36269→[2026-02-14T08:34:12.216Z] [INFO] \"message\": \"publishing\"\n 36270→[2026-02-14T08:34:12.216Z] [INFO] }\n 36271→[2026-02-14T08:34:12.216Z] [INFO] {\n 36272→[2026-02-14T08:34:12.217Z] [INFO] \"type\": \"error\",\n 36273→[2026-02-14T08:34:12.217Z] [INFO] \"timestamp\": 1771058052211,\n 36274→[2026-02-14T08:34:12.217Z] [INFO] \"sessionID\": \"ses_3a4b73b0effeFXKMNNCv1Lm3b2\",\n 36275→[2026-02-14T08:34:12.217Z] [INFO] \"error\": {\n 36276→[2026-02-14T08:34:12.217Z] [INFO] \"name\": \"UnknownError\",\n 36277→[2026-02-14T08:34:12.217Z] [INFO] \"data\": {\n 36278→[2026-02-14T08:34:12.217Z] [INFO] \"message\": \"AI_JSONParseError: JSON parsing failed: Text: {\\\"id\\\":\\\"chatcmpl-jQugNdata:{\\\"id\\\":\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\",\\\"object\\\":\\\"chat.completion.chunk\\\",\\\"created\\\":1771058051,\\\"model\\\":\\\"kimi-k2.5\\\",\\\"choices\\\":[{\\\"index\\\":0,\\\"delta\\\":{\\\"role\\\":\\\"assistant\\\",\\\"content\\\":\\\"\\\"},\\\"finish_reason\\\":null}],\\\"system_fingerprint\\\":\\\"fpv0_f7e5c49a\\\"}.\\nError message: JSON Parse error: Expected '}'\"\n 36279→[2026-02-14T08:34:12.217Z] [INFO] }\n 36280→[2026-02-14T08:34:12.218Z] [INFO] }\n 36281→[2026-02-14T08:34:12.218Z] [INFO] }\n 36282→[2026-02-14T08:34:12.218Z] [INFO] {\n 36283→[2026-02-14T08:34:12.218Z] [INFO] \"type\": \"message.part.updated\",\n 36284→[2026-02-14T08:34:12.218Z] [INFO] \"level\": \"info\",\n 36285→[2026-02-14T08:34:12.218Z] [INFO] \"timestamp\": \"2026-02-14T08:34:12.214Z\",\n 36286→[2026-02-14T08:34:12.218Z] [INFO] \"service\": \"bus\",\n 36287→[2026-02-14T08:34:12.218Z] [INFO] \"message\": \"publishing\"\n 36288→[2026-02-14T08:34:12.219Z] [INFO] }\n 36289→[2026-02-14T08:34:12.219Z] [INFO] {\n 36290→[2026-02-14T08:34:12.219Z] [INFO] \"type\": \"tool_use\",\n 36291→[2026-02-14T08:34:12.219Z] [INFO] \"timestamp\": 1771058052214,\n 36292→[2026-02-14T08:34:12.219Z] [INFO] \"sessionID\": \"ses_3a4b73b0effeFXKMNNCv1Lm3b2\",\n 36293→[2026-02-14T08:34:12.219Z] [INFO] \"part\": {\n 36294→[2026-02-14T08:34:12.220Z] [INFO] \"id\": \"prt_c5b4925d30010l5F6BrMXeE7d6\",\n 36295→[2026-02-14T08:34:12.220Z] [INFO] \"sessionID\": \"ses_3a4b73b0effeFXKMNNCv1Lm3b2\",\n 36296→[2026-02-14T08:34:12.220Z] [INFO] \"messageID\": \"msg_c5b490d94001JytADaAvPm4n2k\",\n 36297→[2026-02-14T08:34:12.220Z] [INFO] \"type\": \"tool\",\n 36298→[2026-02-14T08:34:12.220Z] [INFO] \"callID\": \"tool_FxSEARcHF9cviw2c0abG9qQE\",\n 36299→[2026-02-14T08:34:12.220Z] [INFO] \"tool\": \"read\",\n 36300→[2026-02-14T08:34:12.220Z] [INFO] \"state\": {\n 36301→[2026-02-14T08:34:12.220Z] [INFO] \"status\": \"error\",\n 36302→[2026-02-14T08:34:12.220Z] [INFO] \"input\": {},\n 36303→[2026-02-14T08:34:12.221Z] [INFO] \"error\": \"Tool execution aborted\",\n 36304→[2026-02-14T08:34:12.221Z] [INFO] \"time\": {\n 36305→[2026-02-14T08:34:12.221Z] [INFO] \"start\": 1771058052213,\n 36306→[2026-02-14T08:34:12.221Z] [INFO] \"end\": 1771058052213\n 36307→[2026-02-14T08:34:12.221Z] [INFO] }\n 36308→[2026-02-14T08:34:12.221Z] [INFO] }\n 36309→[2026-02-14T08:34:12.221Z] [INFO] }\n 36310→[2026-02-14T08:34:12.221Z] [INFO] }\n 36311→[2026-02-14T08:34:12.221Z] [INFO] {\n 36312→[2026-02-14T08:34:12.221Z] [INFO] \"type\": \"message.updated\",\n 36313→[2026-02-14T08:34:12.222Z] [INFO] \"level\": \"info\",\n 36314→[2026-02-14T08:34:12.222Z] [INFO] \"timestamp\": \"2026-02-14T08:34:12.215Z\",\n 36315→[2026-02-14T08:34:12.222Z] [INFO] \"service\": \"bus\",\n 36316→[2026-02-14T08:34:12.222Z] [INFO] \"message\": \"publishing\"\n 36317→[2026-02-14T08:34:12.222Z] [INFO] }\n 36318→[2026-02-14T08:34:12.222Z] [INFO] {\n 36319→[2026-02-14T08:34:12.222Z] [INFO] \"type\": \"log\",\n 36320→[2026-02-14T08:34:12.223Z] [INFO] \"level\": \"info\",\n 36321→[2026-02-14T08:34:12.223Z] [INFO] \"timestamp\": \"2026-02-14T08:34:12.215Z\",\n 36322→[2026-02-14T08:34:12.223Z] [INFO] \"service\": \"session.compaction\",\n 36323→[2026-02-14T08:34:12.223Z] [INFO] \"message\": \"pruning\"\n 36324→[2026-02-14T08:34:12.223Z] [INFO] }\n 36325→[2026-02-14T08:34:12.223Z] [INFO] {\n 36326→[2026-02-14T08:34:12.223Z] [INFO] \"type\": \"log\",\n 36327→[2026-02-14T08:34:12.224Z] [INFO] \"level\": \"info\",\n 36328→[2026-02-14T08:34:12.225Z] [INFO] \"timestamp\": \"2026-02-14T08:34:12.216Z\",\n 36329→[2026-02-14T08:34:12.225Z] [INFO] \"service\": \"session.prompt\",\n 36330→[2026-02-14T08:34:12.225Z] [INFO] \"sessionID\": \"ses_3a4b73b0effeFXKMNNCv1Lm3b2\",\n 36331→[2026-02-14T08:34:12.225Z] [INFO] \"message\": \"cancel\"\n 36332→[2026-02-14T08:34:12.225Z] [INFO] }\n 36333→[2026-02-14T08:34:12.225Z] [INFO] {\n 36334→[2026-02-14T08:34:12.225Z] [INFO] \"type\": \"session.status\",\n 36335→[2026-02-14T08:34:12.226Z] [INFO] \"level\": \"info\",\n 36336→[2026-02-14T08:34:12.226Z] [INFO] \"timestamp\": \"2026-02-14T08:34:12.216Z\",\n 36337→[2026-02-14T08:34:12.226Z] [INFO] \"service\": \"bus\",\n 36338→[2026-02-14T08:34:12.226Z] [INFO] \"message\": \"publishing\"\n 36339→[2026-02-14T08:34:12.226Z] [INFO] }\n 36340→[2026-02-14T08:34:12.226Z] [INFO] {\n 36341→[2026-02-14T08:34:12.226Z] [INFO] \"type\": \"session.idle\",\n 36342→[2026-02-14T08:34:12.227Z] [INFO] \"level\": \"info\",\n 36343→[2026-02-14T08:34:12.227Z] [INFO] \"timestamp\": \"2026-02-14T08:34:12.216Z\",\n 36344→[2026-02-14T08:34:12.227Z] [INFO] \"service\": \"bus\",\n 36345→[2026-02-14T08:34:12.227Z] [INFO] \"message\": \"publishing\"\n 36346→[2026-02-14T08:34:12.227Z] [INFO] }\n 36347→[2026-02-14T08:34:12.227Z] [INFO] {\n 36348→[2026-02-14T08:34:12.227Z] [INFO] \"type\": \"*\",\n 36349→[2026-02-14T08:34:12.228Z] [INFO] \"level\": \"info\",\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": "toolu_019fizTgnNBJ77MKCxv1vziw", | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "36450892-b97f-4f3e-b831-f7c0d526fe52" | |
| } | |
| [2026-02-14T11:24:52.486Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-haiku-4-5-20251001", | |
| "id": "msg_01Q7USStkCEqqDp3ZX9zVBBQ", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01MeK3JoaTx3PwWZoNP1CBF9", | |
| "name": "Grep", | |
| "input": { | |
| "pattern": "api\\.kilo\\.ai|baseURL.*kilo|https://api.kilo", | |
| "path": "/tmp/gh-issue-solver-1771068195706", | |
| "output_mode": "content", | |
| "context": 3 | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 5, | |
| "cache_creation_input_tokens": 3514, | |
| "cache_read_input_tokens": 57163, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 3514 | |
| }, | |
| "output_tokens": 4, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": "toolu_015s6SWJxH4TEM7qp58d6QsR", | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "bd4c1f43-bbd9-4cf3-9a9e-74acd2f7d99b" | |
| } | |
| [2026-02-14T11:24:52.525Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01MeK3JoaTx3PwWZoNP1CBF9", | |
| "type": "tool_result", | |
| "content": "/tmp/gh-issue-solver-1771068195706/docs/kilo.md-1-# Kilo Gateway Provider\n/tmp/gh-issue-solver-1771068195706/docs/kilo.md-2-\ndocs/kilo.md:3:[Kilo](https://kilo.ai) is an open-source AI coding agent platform providing unified access to 500+ AI models through the Kilo Gateway. This provider uses an OpenAI-compatible API at `https://api.kilo.ai/api/gateway`.\n/tmp/gh-issue-solver-1771068195706/docs/kilo.md-4-\n/tmp/gh-issue-solver-1771068195706/docs/kilo.md-5-## Overview\n/tmp/gh-issue-solver-1771068195706/docs/kilo.md-6-\n--\n/tmp/gh-issue-solver-1771068195706/docs/kilo.md-80-\n/tmp/gh-issue-solver-1771068195706/docs/kilo.md-81-| Property | Value |\n/tmp/gh-issue-solver-1771068195706/docs/kilo.md-82-| ----------------- | ------------------------------------ |\ndocs/kilo.md:83:| Base URL | `https://api.kilo.ai/api/gateway` |\n/tmp/gh-issue-solver-1771068195706/docs/kilo.md-84-| API Format | OpenAI-compatible |\n/tmp/gh-issue-solver-1771068195706/docs/kilo.md-85-| Authentication | Bearer token (`KILO_API_KEY`) |\n/tmp/gh-issue-solver-1771068195706/docs/kilo.md-86-| Streaming | SSE (Server-Sent Events) |\n--\n/tmp/gh-issue-solver-1771068195706/docs/kilo.md-93-import { createOpenAI } from \"@ai-sdk/openai\"\n/tmp/gh-issue-solver-1771068195706/docs/kilo.md-94-\n/tmp/gh-issue-solver-1771068195706/docs/kilo.md-95-const kilo = createOpenAI({\ndocs/kilo.md:96: baseURL: \"https://api.kilo.ai/api/gateway\",\ndocs/kilo.md-97- apiKey: process.env.KILO_API_KEY || \"public\",\n/tmp/gh-issue-solver-1771068195706/docs/kilo.md-98-})\n/tmp/gh-issue-solver-1771068195706/docs/kilo.md-99-\n--\njs/CHANGELOG.md-62-- 89e466d: Add Kilo Gateway provider with free models support\n/tmp/gh-issue-solver-1771068195706/js/CHANGELOG.md-63- - Add Kilo Gateway provider with 6 free models (GLM-5, GLM 4.7, Kimi K2.5, MiniMax M2.1, Giga Potato, Trinity Large Preview)\n/tmp/gh-issue-solver-1771068195706/js/CHANGELOG.md-64- - GLM-5 is the flagship free model with 202K context window\njs/CHANGELOG.md:65: - OpenAI-compatible API at https://api.kilo.ai/api/gateway\n/tmp/gh-issue-solver-1771068195706/js/CHANGELOG.md-66- - No API key required for free models\n/tmp/gh-issue-solver-1771068195706/js/CHANGELOG.md-67- - Add comprehensive documentation for Kilo Gateway usage\n/tmp/gh-issue-solver-1771068195706/js/CHANGELOG.md-68-\n--\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-165/opencode-issue-template.md-25-\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-165/opencode-issue-template.md-26-### Expected Behavior\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-165/opencode-issue-template.md-27-\ndocs/case-studies/issue-165/opencode-issue-template.md:28:- API requests should be made to Kilo Gateway at `https://api.kilo.ai/api/gateway`\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-165/opencode-issue-template.md-29-- The model `z-ai/glm-5` should be used (Kilo's internal ID for glm-5-free)\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-165/opencode-issue-template.md-30-- User-specified model should take precedence over defaults\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-165/opencode-issue-template.md-31-\n--\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-17-- CLI tool (`@kilocode/cli`) and VS Code extension (700K+ downloads)\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-18-- Access to 500+ AI models through the Kilo Gateway\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-19-- Free tier with default free models and $5 initial credit\ndocs/case-studies/issue-159/README.md:20:- OpenAI-compatible API at `https://api.kilo.ai/api/gateway`\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-21-\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-22-### Kilo Gateway Technical Details\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-23-\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-24-| Property | Value |\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-25-|----------|-------|\ndocs/case-studies/issue-159/README.md:26:| Base URL | `https://api.kilo.ai/api/gateway` |\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-27-| API Format | OpenAI-compatible (`/chat/completions`) |\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-28-| Authentication | API Key (Bearer token) |\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-29-| Environment Variable | `KILO_API_KEY` |\n--\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-71-\ndocs/case-studies/issue-159/README.md-72-1. **Add Kilo Provider** - Create a new provider in `provider.ts` that:\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-73- - Uses the `@ai-sdk/openai-compatible` package\ndocs/case-studies/issue-159/README.md:74: - Connects to `https://api.kilo.ai/api/gateway`\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-75- - Supports free models without API key (or with free tier)\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-76- - Supports BYOK (Bring Your Own Key) for paid models\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/README.md-77-\n--\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-165/data/provider.ts-323- },\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-165/data/provider.ts-324- /**\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-165/data/provider.ts-325- * Kilo provider - access to 500+ AI models through Kilo Gateway\ndocs/case-studies/issue-165/data/provider.ts:326: * Uses OpenAI-compatible API at https://api.kilo.ai/api/gateway\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-165/data/provider.ts-327- *\ndocs/case-studies/issue-165/data/provider.ts-328- * Free models available without API key (using 'public' key):\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-165/data/provider.ts-329- * - GLM-5 (z-ai/glm-5) - Free limited time, flagship Z.AI model\n--\ndocs/case-studies/issue-165/data/provider.ts-769- id: 'kilo',\ndocs/case-studies/issue-165/data/provider.ts-770- name: 'Kilo Gateway',\ndocs/case-studies/issue-165/data/provider.ts-771- npm: '@ai-sdk/openai-compatible',\ndocs/case-studies/issue-165/data/provider.ts:772: api: 'https://api.kilo.ai/api/gateway',\ndocs/case-studies/issue-165/data/provider.ts-773- env: ['KILO_API_KEY'],\ndocs/case-studies/issue-165/data/provider.ts-774- models: {\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-165/data/provider.ts-775- // GLM-5 - Flagship Z.AI model, free for limited time\n--\ndocs/case-studies/issue-159/data/issue-159.json-7- \"state\": \"OPEN\"\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-159/data/issue-159.json-8- },\ndocs/case-studies/issue-159/data/issue-159.json-9- \"kilo_gateway\": {\ndocs/case-studies/issue-159/data/issue-159.json:10: \"base_url\": \"https://api.kilo.ai/api/gateway\",\ndocs/case-studies/issue-159/data/issue-159.json-11- \"api_format\": \"OpenAI-compatible\",\ndocs/case-studies/issue-159/data/issue-159.json-12- \"authentication\": \"API Key (Bearer token)\",\ndocs/case-studies/issue-159/data/issue-159.json-13- \"environment_variable\": \"KILO_API_KEY\",\n--\n/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts-324- },\n/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts-325- /**\n/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts-326- * Kilo provider - access to 500+ AI models through Kilo Gateway\njs/src/provider/provider.ts:327: * Uses OpenAI-compatible API at https://api.kilo.ai/api/gateway\n/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts-328- *\njs/src/provider/provider.ts-329- * Free models available without API key (using 'public' key):\n/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts-330- * - GLM-5 (z-ai/glm-5) - Free limited time, flagship Z.AI model\n--\njs/src/provider/provider.ts-770- id: 'kilo',\njs/src/provider/provider.ts-771- name: 'Kilo Gateway',\njs/src/provider/provider.ts-772- npm: '@ai-sdk/openai-compatible',\njs/src/provider/provider.ts:773: api: 'https://api.kilo.ai/api/gateway',\njs/src/provider/provider.ts-774- env: ['KILO_API_KEY'],\njs/src/provider/provider.ts-775- models: {\n/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts-776- // GLM-5 - Flagship Z.AI model, free for limited time\n--\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/kilo-gateway-issue-draft.md-2-\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/kilo-gateway-issue-draft.md-3-## Description\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/kilo-gateway-issue-draft.md-4-\ndocs/case-studies/issue-169/kilo-gateway-issue-draft.md:5:When streaming responses from `moonshot/kimi-k2.5:free` via the Kilo AI Gateway (`api.kilo.ai`), we occasionally receive malformed SSE data where two SSE events are concatenated without proper `\\n\\ndata: ` delimiters. This causes downstream JSON parsing to fail.\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/kilo-gateway-issue-draft.md-6-\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/kilo-gateway-issue-draft.md-7-## Evidence\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/kilo-gateway-issue-draft.md-8-\n--\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/kilo-gateway-issue-draft.md-38-\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/kilo-gateway-issue-draft.md-39-## Environment\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/kilo-gateway-issue-draft.md-40-\ndocs/case-studies/issue-169/kilo-gateway-issue-draft.md:41:- **Gateway**: Kilo AI Gateway (`https://api.kilo.ai/api/gateway`)\ndocs/case-studies/issue-169/kilo-gateway-issue-draft.md-42-- **Model**: `moonshot/kimi-k2.5:free`\ndocs/case-studies/issue-169/kilo-gateway-issue-draft.md-43-- **Client SDK**: Vercel AI SDK (`@ai-sdk/openai-compatible`)\ndocs/case-studies/issue-169/kilo-gateway-issue-draft.md-44-- **SSE Parser**: `eventsource-parser` (used by AI SDK)\n--\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/vercel-ai-issue-draft.md-15-\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/vercel-ai-issue-draft.md-16-## Evidence from Production\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/vercel-ai-issue-draft.md-17-\ndocs/case-studies/issue-169/vercel-ai-issue-draft.md:18:We observed this error when using Kimi K2.5 via the Kilo AI Gateway (`api.kilo.ai`):\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/vercel-ai-issue-draft.md-19-\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/vercel-ai-issue-draft.md-20-```json\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/vercel-ai-issue-draft.md-21-{\n--\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/analysis.md-11-## Infrastructure Chain\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/analysis.md-12-\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/analysis.md-13-```\ndocs/case-studies/issue-169/analysis.md:14:Agent (Bun) → OpenCode Zen Provider → Kilo AI Gateway (api.kilo.ai) → Moonshot Kimi K2.5 API\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/analysis.md-15-```\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/analysis.md-16-\ndocs/case-studies/issue-169/analysis.md-17-- **Provider ID**: `opencode` (resolved from `--model kimi-k2.5-free`)\ndocs/case-studies/issue-169/analysis.md-18-- **SDK**: `@ai-sdk/openai-compatible` (OpenAI-compatible protocol)\ndocs/case-studies/issue-169/analysis.md:19:- **Gateway**: Kilo AI Gateway at `https://api.kilo.ai/api/gateway`\ndocs/case-studies/issue-169/analysis.md-20-- **Model**: `moonshot/kimi-k2.5:free` (Moonshot's Kimi K2.5, free tier)\n/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/analysis.md-21-\ndocs/case-studies/issue-169/analysis.md-22-**Note**: OpenRouter is NOT involved in this incident. The previous analysis incorrectly attributed the SSE corruption to OpenRouter. The actual proxy is the Kilo AI Gateway." | |
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| "content": "122-[2026-02-14T08:28:51.539Z] [INFO] Latest commit: d8ea35b3 Initial commit with task details\n123-[2026-02-14T08:28:51.582Z] [INFO] Git status: clean\n124-[2026-02-14T08:28:51.616Z] [INFO] Remotes: origin\thttps://github.com/konard/Jhon-Crow-godot-topdown-MVP.git (fetch)\n125-[2026-02-14T08:28:51.655Z] [INFO] Branch info: * issue-761-a0caf45f6eba d8ea35b3 [origin/main: ahead 1] Initial commit with task details\n126: main 733da94e [origin/main] Merge pull request #777 from konard/issue-770-c2d1cca4a297\n127-[2026-02-14T08:28:51.655Z] [INFO] 📤 Pushing branch: To remote repository...\n128-[2026-02-14T08:28:51.656Z] [INFO] Push command: git push -u origin issue-761-a0caf45f6eba\n129-[2026-02-14T08:28:52.439Z] [INFO] Push exit code: 0\n130-[2026-02-14T08:28:52.439Z] [INFO] Push output: remote: \n131:remote: Create a pull request for 'issue-761-a0caf45f6eba' on GitHub by visiting: \n132-remote: https://github.com/konard/Jhon-Crow-godot-topdown-MVP/pull/new/issue-761-a0caf45f6eba \n133-remote: \n134-To https://github.com/konard/Jhon-Crow-godot-topdown-MVP.git\n135- * [new branch] issue-761-a0caf45f6eba -> issue-761-a0caf45f6eba\n136-branch 'issue-761-a0caf45f6eba' set up to track 'origin/issue-761-a0caf45f6eba'.\n137-[2026-02-14T08:28:52.440Z] [INFO] ✅ Branch pushed: Successfully to remote\n138-[2026-02-14T08:28:52.440Z] [INFO] Push output: remote: \n139:remote: Create a pull request for 'issue-761-a0caf45f6eba' on GitHub by visiting: \n140-remote: https://github.com/konard/Jhon-Crow-godot-topdown-MVP/pull/new/issue-761-a0caf45f6eba \n141-remote: \n142-To https://github.com/konard/Jhon-Crow-godot-topdown-MVP.git\n143- * [new branch] issue-761-a0caf45f6eba -> issue-761-a0caf45f6eba\n--\n157-[2026-02-14T08:28:56.712Z] [INFO] ✅ Base updated: Fetched latest main\n158-[2026-02-14T08:28:56.713Z] [INFO] 🔍 Checking: Commits between branches...\n159-[2026-02-14T08:28:56.749Z] [INFO] Commits ahead of origin/main: 1\n160-[2026-02-14T08:28:56.749Z] [INFO] ✅ Commits found: 1 commit(s) ahead\n161:[2026-02-14T08:28:56.750Z] [INFO] 🔀 Creating PR: Draft pull request...\n162-[2026-02-14T08:28:56.750Z] [INFO] 🎯 Target branch: main (default)\n163-[2026-02-14T08:28:56.750Z] [INFO] PR Title: [WIP] добавь звук пустого выстрела дробовику\n164-[2026-02-14T08:28:56.750Z] [INFO] Base branch: main\n165-[2026-02-14T08:28:56.750Z] [INFO] Head branch: issue-761-a0caf45f6eba\n166-[2026-02-14T08:28:56.751Z] [INFO] Assignee: konard\n167-[2026-02-14T08:28:56.751Z] [INFO] PR Body:\n168-## 🤖 AI-Powered Solution Draft\n169-\n170:This pull request is being automatically generated to solve issue Jhon-Crow/godot-topdown-MVP#761.\n171-\n172-### 📋 Issue Reference\n173-Fixes Jhon-Crow/godot-topdown-MVP#761\n174-\n--\n218-[2026-02-14T08:29:01.258Z] [INFO] PR review comments fetched: 0\n219-[2026-02-14T08:29:01.259Z] [INFO] PR conversation comments fetched: 0\n220-[2026-02-14T08:29:01.260Z] [INFO] Total PR comments checked: 0\n221-[2026-02-14T08:29:04.358Z] [INFO] Feedback info will be added to prompt:\n222:[2026-02-14T08:29:04.359Z] [INFO] - 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| "content": " 1→# Solve.mjs Log - 2026-02-14T08:28:31.969Z\n 2→\n 3→[2026-02-14T08:28:31.970Z] [INFO] 📁 Log file: /home/hive/solve-2026-02-14T08-28-31-968Z.log\n 4→[2026-02-14T08:28:31.972Z] [INFO] (All output will be logged here)\n 5→[2026-02-14T08:28:32.465Z] [INFO] \n 6→[2026-02-14T08:28:32.465Z] [INFO] 🚀 solve v1.23.1\n 7→[2026-02-14T08:28:32.466Z] [INFO] 🔧 Raw command executed:\n 8→[2026-02-14T08:28:32.466Z] [INFO] /home/hive/.nvm/versions/node/v20.20.0/bin/node /home/hive/.bun/bin/solve https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761 --tool agent --model kimi-k2.5-free --attach-logs --verbose --no-tool-check --auto-resume-on-limit-reset --tokens-budget-stats\n 9→[2026-02-14T08:28:32.467Z] [INFO] \n 10→[2026-02-14T08:28:32.867Z] [INFO] \n 11→[2026-02-14T08:28:32.868Z] [WARNING] ⚠️ SECURITY WARNING: --attach-logs is ENABLED\n 12→[2026-02-14T08:28:32.868Z] [INFO] \n 13→[2026-02-14T08:28:32.869Z] [INFO] This option will upload the complete solution draft log file to the Pull Request.\n 14→[2026-02-14T08:28:32.869Z] [INFO] The log may contain sensitive information such as:\n 15→[2026-02-14T08:28:32.870Z] [INFO] • API keys, tokens, or secrets\n 16→[2026-02-14T08:28:32.870Z] [INFO] • File paths and directory structures\n 17→[2026-02-14T08:28:32.870Z] [INFO] • Command outputs and error messages\n 18→[2026-02-14T08:28:32.870Z] [INFO] • Internal system information\n 19→[2026-02-14T08:28:32.871Z] [INFO] \n 20→[2026-02-14T08:28:32.871Z] [INFO] ⚠️ DO NOT use this option with public repositories or if the log\n 21→[2026-02-14T08:28:32.871Z] [INFO] might contain sensitive data that should not be shared publicly.\n 22→[2026-02-14T08:28:32.871Z] [INFO] \n 23→[2026-02-14T08:28:32.871Z] [INFO] Continuing in 5 seconds... (Press Ctrl+C to abort)\n 24→[2026-02-14T08:28:32.872Z] [INFO] \n 25→[2026-02-14T08:28:37.877Z] [INFO] \n 26→[2026-02-14T08:28:37.903Z] [INFO] 💾 Disk space check: 56093MB available (2048MB required) ✅\n 27→[2026-02-14T08:28:37.905Z] [INFO] 🧠 Memory check: 11553MB available, swap: 4095MB (0MB used), total: 15648MB (256MB required) ✅\n 28→[2026-02-14T08:28:37.921Z] [INFO] ⏩ Skipping tool connection validation (dry-run mode or skip-tool-connection-check enabled)\n 29→[2026-02-14T08:28:37.921Z] [INFO] ⏩ Skipping GitHub authentication check (dry-run mode or skip-tool-connection-check enabled)\n 30→[2026-02-14T08:28:37.921Z] [INFO] 📋 URL validation:\n 31→[2026-02-14T08:28:37.922Z] [INFO] Input URL: https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761\n 32→[2026-02-14T08:28:37.922Z] [INFO] Is Issue URL: true\n 33→[2026-02-14T08:28:37.922Z] [INFO] Is PR URL: false\n 34→[2026-02-14T08:28:37.922Z] [INFO] 🔍 Checking repository access for auto-fork...\n 35→[2026-02-14T08:28:38.738Z] [INFO] Repository visibility: public\n 36→[2026-02-14T08:28:38.738Z] [INFO] ✅ Auto-fork: No write access detected, enabling fork mode\n 37→[2026-02-14T08:28:38.739Z] [INFO] ✅ Repository access check: Skipped (fork mode enabled)\n 38→[2026-02-14T08:28:39.054Z] [INFO] Repository visibility: public\n 39→[2026-02-14T08:28:39.055Z] [INFO] Auto-cleanup default: false (repository is public)\n 40→[2026-02-14T08:28:39.056Z] [INFO] 🔍 Auto-continue enabled: Checking for existing PRs for issue #761...\n 41→[2026-02-14T08:28:39.706Z] [INFO] 🔍 Fork mode: Checking for existing branches in konard/Jhon-Crow-godot-topdown-MVP...\n 42→[2026-02-14T08:28:40.737Z] [INFO] 📋 Found 2 existing branch(es) in fork matching pattern 'issue-761-*':\n 43→[2026-02-14T08:28:40.738Z] [INFO] • issue-761-b96531197eec\n 44→[2026-02-14T08:28:40.738Z] [INFO] • issue-761-ea895c87868e\n 45→[2026-02-14T08:28:41.158Z] [INFO] 📋 Found 10 existing PR(s) linked to issue #761\n 46→[2026-02-14T08:28:41.158Z] [INFO] PR #776: created 13h ago (OPEN, ready)\n 47→[2026-02-14T08:28:41.159Z] [INFO] PR #776: Branch 'issue-724-6b719f7321c5' doesn't match expected pattern 'issue-761-*' - skipping\n 48→[2026-02-14T08:28:41.160Z] [INFO] PR #774: created 21h ago (OPEN, draft)\n 49→[2026-02-14T08:28:41.160Z] [INFO] PR #774: Branch 'issue-763-5b2ad156c55c' doesn't match expected pattern 'issue-761-*' - skipping\n 50→[2026-02-14T08:28:41.160Z] [INFO] PR #756: created 43h ago (OPEN, ready)\n 51→[2026-02-14T08:28:41.160Z] [INFO] PR #756: Branch 'issue-755-02f7f5dbfa10' doesn't match expected pattern 'issue-761-*' - skipping\n 52→[2026-02-14T08:28:41.160Z] [INFO] PR #749: created 83h ago (OPEN, ready)\n 53→[2026-02-14T08:28:41.161Z] [INFO] PR #749: Branch 'issue-748-3dffe4179649' doesn't match expected pattern 'issue-761-*' - skipping\n 54→[2026-02-14T08:28:41.161Z] [INFO] PR #746: created 84h ago (OPEN, ready)\n 55→[2026-02-14T08:28:41.161Z] [INFO] PR #746: Branch 'issue-744-95dafced7ca4' doesn't match expected pattern 'issue-761-*' - skipping\n 56→[2026-02-14T08:28:41.161Z] [INFO] PR #745: created 84h ago (OPEN, ready)\n 57→[2026-02-14T08:28:41.161Z] [INFO] PR #745: Branch 'issue-714-be0e715caba6' doesn't match expected pattern 'issue-761-*' - skipping\n 58→[2026-02-14T08:28:41.161Z] [INFO] PR #743: created 85h ago (OPEN, ready)\n 59→[2026-02-14T08:28:41.161Z] [INFO] PR #743: Branch 'issue-719-5f2cfc6c4a5a' doesn't match expected pattern 'issue-761-*' - skipping\n 60→[2026-02-14T08:28:41.161Z] [INFO] PR #732: created 86h ago (OPEN, ready)\n 61→[2026-02-14T08:28:41.161Z] [INFO] PR #732: Branch 'issue-721-05c2ae3f2e15' doesn't match expected pattern 'issue-761-*' - skipping\n 62→[2026-02-14T08:28:41.161Z] [INFO] PR #706: created 126h ago (OPEN, ready)\n 63→[2026-02-14T08:28:41.161Z] [INFO] PR #706: Branch 'issue-704-7670241cec95' doesn't match expected pattern 'issue-761-*' - skipping\n 64→[2026-02-14T08:28:41.162Z] [INFO] PR #701: created 128h ago (OPEN, ready)\n 65→[2026-02-14T08:28:41.162Z] [INFO] PR #701: Branch 'issue-700-59b72625fc7e' doesn't match expected pattern 'issue-761-*' - skipping\n 66→[2026-02-14T08:28:41.162Z] [INFO] ⏭️ No suitable PRs found (missing CLAUDE.md/.gitkeep or older than 24h) - creating new PR as usual\n 67→[2026-02-14T08:28:41.162Z] [INFO] ✅ Using existing branch from fork: issue-761-ea895c87868e\n 68→[2026-02-14T08:28:41.162Z] [INFO] Found 2 matching branch(es), selected most recent\n 69→[2026-02-14T08:28:41.536Z] [INFO] Branch issue-761-ea895c87868e has a CLOSED PR #775 - cannot reuse\n 70→[2026-02-14T08:28:41.537Z] [INFO] Will create a new branch for issue #761\n 71→[2026-02-14T08:28:41.537Z] [INFO] 📝 Issue mode: Working with issue #761\n 72→[2026-02-14T08:28:41.539Z] [INFO] \n 73→Creating temporary directory: /tmp/gh-issue-solver-1771057721538\n 74→[2026-02-14T08:28:41.541Z] [INFO] \n 75→🍴 Fork mode: ENABLED\n 76→[2026-02-14T08:28:41.541Z] [INFO] Checking fork status... \n 77→\n 78→[2026-02-14T08:28:41.845Z] [INFO] 🔍 Detecting fork conflicts... \n 79→[2026-02-14T08:28:42.941Z] [INFO] ✅ No fork conflict: Safe to proceed\n 80→[2026-02-14T08:28:43.270Z] [INFO] ✅ Fork exists: konard/Jhon-Crow-godot-topdown-MVP\n 81→[2026-02-14T08:28:43.271Z] [INFO] 🔍 Validating fork parent... \n 82→[2026-02-14T08:28:43.732Z] [INFO] ✅ Fork parent validated: Jhon-Crow/godot-topdown-MVP\n 83→[2026-02-14T08:28:43.734Z] [INFO] \n 84→📥 Cloning repository: konard/Jhon-Crow-godot-topdown-MVP\n 85→[2026-02-14T08:28:48.186Z] [INFO] ✅ Cloned to: /tmp/gh-issue-solver-1771057721538\n 86→[2026-02-14T08:28:48.225Z] [INFO] 🔗 Setting upstream: Jhon-Crow/godot-topdown-MVP\n 87→[2026-02-14T08:28:48.264Z] [INFO] ℹ️ Upstream exists: Using existing upstream remote\n 88→[2026-02-14T08:28:48.264Z] [INFO] 🔄 Fetching upstream... \n 89→[2026-02-14T08:28:48.607Z] [INFO] ✅ Upstream fetched: Successfully\n 90→[2026-02-14T08:28:48.607Z] [INFO] 🔄 Syncing default branch... \n 91→[2026-02-14T08:28:48.956Z] [INFO] ℹ️ Default branch: main\n 92→[2026-02-14T08:28:50.328Z] [INFO] ✅ Default branch synced: with upstream/main\n 93→[2026-02-14T08:28:50.329Z] [INFO] 🔄 Pushing to fork: main branch\n 94→[2026-02-14T08:28:51.098Z] [INFO] ✅ Fork updated: Default branch pushed to fork\n 95→[2026-02-14T08:28:51.209Z] [INFO] \n 96→📌 Default branch: main\n 97→[2026-02-14T08:28:51.257Z] [INFO] \n 98→🌿 Creating branch: issue-761-a0caf45f6eba from main (default)\n 99→[2026-02-14T08:28:51.302Z] [INFO] 🔍 Verifying: Branch creation...\n 100→[2026-02-14T08:28:51.335Z] [INFO] ✅ Branch created: issue-761-a0caf45f6eba\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": "<persisted-output>\nOutput too large (40.8KB). Full output saved to: /home/hive/.claude/projects/-tmp-gh-issue-solver-1771068195706/ea77e324-d3c5-425d-8a51-d5ba3feb8ff2/tool-results/toolu_01JqK4bMVCCDwZWoWhCVBw1N.txt\n\nPreview (first 2KB):\n8:[2026-02-14T08:28:32.466Z] [INFO] /home/hive/.nvm/versions/node/v20.20.0/bin/node /home/hive/.bun/bin/solve https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761 --tool agent --model kimi-k2.5-free --attach-logs --verbose --no-tool-check --auto-resume-on-limit-reset --tokens-budget-stats\n31:[2026-02-14T08:28:37.922Z] [INFO] Input URL: https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761\n110:[2026-02-14T08:28:51.340Z] [INFO] Issue URL from argv['issue-url']: https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761\n112:[2026-02-14T08:28:51.340Z] [INFO] Final issue URL: https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761\n124:[2026-02-14T08:28:51.616Z] [INFO] Remotes: origin\thttps://github.com/konard/Jhon-Crow-godot-topdown-MVP.git (fetch)\n132:remote: https://github.com/konard/Jhon-Crow-godot-topdown-MVP/pull/new/issue-761-a0caf45f6eba \n134:To https://github.com/konard/Jhon-Crow-godot-topdown-MVP.git\n140:remote: https://github.com/konard/Jhon-Crow-godot-topdown-MVP/pull/new/issue-761-a0caf45f6eba \n142:To https://github.com/konard/Jhon-Crow-godot-topdown-MVP.git\n187:[2026-02-14T08:28:58.680Z] [INFO] 📍 PR URL: https://github.com/Jhon-Crow/godot-topdown-MVP/pull/778\n199:[2026-02-14T08:28:59.622Z] [WARNING] 1. Edit the PR description at: https://github.com/Jhon-Crow/godot-topdown-MVP/pull/778\n232:[2026-02-14T08:29:05.713Z] [INFO] 📦 Fork workflows detected: https://github.com/konard/Jhon-Crow-godot-topdown-MVP/actions?query=branch%3Aissue-761-a0caf45f6eba\n...\n</persisted-output>", | |
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| "content": " 31600→[2026-02-14T08:33:35.183Z] [INFO] \n 31601→[2026-02-14T08:33:35.183Z] [INFO] 🔄 AUTO-RESTART: Uncommitted changes detected\n 31602→[2026-02-14T08:33:35.184Z] [INFO] Starting temporary monitoring cycle (NOT --watch mode)\n 31603→[2026-02-14T08:33:35.184Z] [INFO] The tool will run once more to commit the changes\n 31604→[2026-02-14T08:33:35.184Z] [INFO] Will exit automatically after changes are committed\n 31605→[2026-02-14T08:33:35.184Z] [INFO] \n 31606→[2026-02-14T08:33:35.184Z] [INFO] \n 31607→[2026-02-14T08:33:35.184Z] [INFO] 📊 startWatchMode called with:\n 31608→[2026-02-14T08:33:35.185Z] [INFO] argv.watch: true\n 31609→[2026-02-14T08:33:35.185Z] [INFO] params.prNumber: 778\n 31610→[2026-02-14T08:33:35.185Z] [INFO] \n 31611→[2026-02-14T08:33:35.185Z] [INFO] 🔄 AUTO-RESTART MODE ACTIVE \n 31612→[2026-02-14T08:33:35.186Z] [INFO] Purpose: Complete unfinished work from previous run\n 31613→[2026-02-14T08:33:35.186Z] [INFO] Monitoring PR: #778\n 31614→[2026-02-14T08:33:35.186Z] [INFO] Mode: Auto-restart (NOT --watch mode)\n 31615→[2026-02-14T08:33:35.186Z] [INFO] Stop conditions: All changes committed OR PR merged OR max iterations reached\n 31616→[2026-02-14T08:33:35.186Z] [INFO] Max iterations: 3\n 31617→[2026-02-14T08:33:35.186Z] [INFO] Note: No wait time between iterations in auto-restart mode\n 31618→[2026-02-14T08:33:35.186Z] [INFO] \n 31619→[2026-02-14T08:33:35.187Z] [INFO] Press Ctrl+C to stop watching manually\n 31620→[2026-02-14T08:33:35.187Z] [INFO] \n 31621→[2026-02-14T08:33:35.632Z] [INFO] 🔄 Initial restart: Handling uncommitted changes...\n 31622→[2026-02-14T08:33:36.421Z] [INFO] 👤 Current user: konard\n 31623→[2026-02-14T08:33:36.422Z] [INFO] 💬 Counting comments: Checking for new comments since last commit...\n 31624→[2026-02-14T08:33:36.891Z] [INFO] 📅 Last commit time (from API): 2026-02-14T08:33:26.000Z\n 31625→[2026-02-14T08:33:37.726Z] [INFO] 💬 New PR comments: 0\n 31626→[2026-02-14T08:33:37.727Z] [INFO] 💬 New PR review comments: 0\n 31627→[2026-02-14T08:33:37.727Z] [INFO] 💬 New issue comments: 0\n 31628→[2026-02-14T08:33:40.253Z] [INFO] 📝 UNCOMMITTED CHANGES: \n 31629→[2026-02-14T08:33:40.301Z] [INFO] • ?? pr_description.txt \n 31630→[2026-02-14T08:33:40.302Z] [INFO] \n 31631→[2026-02-14T08:33:40.302Z] [INFO] 🔄 Initial restart: Running AGENT to handle uncommitted changes...\n 31632→[2026-02-14T08:33:41.133Z] [INFO] 💬 Posted auto-restart notification to PR \n 31633→[2026-02-14T08:33:41.216Z] [INFO] 👁️ Model vision capability: not supported\n 31634→[2026-02-14T08:33:41.217Z] [INFO] \n 31635→📝 Final prompt structure:\n 31636→[2026-02-14T08:33:41.217Z] [INFO] Characters: 906\n 31637→[2026-02-14T08:33:41.217Z] [INFO] System prompt characters: 8067\n 31638→[2026-02-14T08:33:41.217Z] [INFO] Feedback info: Included\n 31639→[2026-02-14T08:33:41.218Z] [INFO] \n 31640→🤖 Executing Agent: KIMI-K2.5-FREE\n 31641→[2026-02-14T08:33:41.218Z] [INFO] Model: kimi-k2.5-free\n 31642→[2026-02-14T08:33:41.218Z] [INFO] Working directory: /tmp/gh-issue-solver-1771057721538\n 31643→[2026-02-14T08:33:41.218Z] [INFO] Branch: issue-761-a0caf45f6eba\n 31644→[2026-02-14T08:33:41.218Z] [INFO] Prompt length: 906 chars\n 31645→[2026-02-14T08:33:41.218Z] [INFO] System prompt length: 8067 chars\n 31646→[2026-02-14T08:33:41.218Z] [INFO] Feedback info included: Yes (12 lines)\n 31647→[2026-02-14T08:33:41.260Z] [INFO] 📈 System resources before execution:\n 31648→[2026-02-14T08:33:41.261Z] [INFO] Memory: MemFree: 11137500 kB\n 31649→[2026-02-14T08:33:41.261Z] [INFO] Load: 0.00 0.03 0.03 1/200 24757\n 31650→[2026-02-14T08:33:41.262Z] [INFO] \n 31651→📝 Raw command: \n 31652→[2026-02-14T08:33:41.262Z] [INFO] (cd \"/tmp/gh-issue-solver-1771057721538\" && cat \"/tmp/agent_prompt_1771058021262_20633.txt\" | agent --model moonshot/kimi-k2.5-free --verbose)\n 31653→[2026-02-14T08:33:41.262Z] [INFO] \n 31654→[2026-02-14T08:33:41.262Z] [INFO] 📋 Command details: \n 31655→[2026-02-14T08:33:41.263Z] [INFO] 📂 Working directory: /tmp/gh-issue-solver-1771057721538\n 31656→[2026-02-14T08:33:41.263Z] [INFO] 🌿 Branch: issue-761-a0caf45f6eba\n 31657→[2026-02-14T08:33:41.263Z] [INFO] 🤖 Model: Agent KIMI-K2.5-FREE\n 31658→[2026-02-14T08:33:41.263Z] [INFO] 🍴 Fork: true\n 31659→[2026-02-14T08:33:41.263Z] [INFO] \n 31660→▶️ Streaming output: \n 31661→\n 31662→[2026-02-14T08:33:41.582Z] [INFO] {\n 31663→[2026-02-14T08:33:41.583Z] [INFO] \"type\": \"status\",\n 31664→[2026-02-14T08:33:41.583Z] [INFO] \"mode\": \"stdin-stream\",\n 31665→[2026-02-14T08:33:41.583Z] [INFO] \"message\": \"Agent CLI in continuous listening mode. Accepts JSON and plain text input.\",\n 31666→[2026-02-14T08:33:41.584Z] [INFO] \"hint\": \"Press CTRL+C to exit. Use --help for options.\",\n 31667→[2026-02-14T08:33:41.584Z] [INFO] \"acceptedFormats\": [\n 31668→[2026-02-14T08:33:41.584Z] [INFO] \"JSON object with \\\"message\\\" field\",\n 31669→[2026-02-14T08:33:41.587Z] [INFO] \"Plain text\"\n 31670→[2026-02-14T08:33:41.588Z] [INFO] ],\n 31671→[2026-02-14T08:33:41.588Z] [INFO] \"options\": {\n 31672→[2026-02-14T08:33:41.588Z] [INFO] \"interactive\": true,\n 31673→[2026-02-14T08:33:41.588Z] [INFO] \"autoMergeQueuedMessages\": true,\n 31674→[2026-02-14T08:33:41.589Z] [INFO] \"alwaysAcceptStdin\": true,\n 31675→[2026-02-14T08:33:41.589Z] [INFO] \"compactJson\": false\n 31676→[2026-02-14T08:33:41.589Z] [INFO] }\n 31677→[2026-02-14T08:33:41.589Z] [INFO] }\n 31678→[2026-02-14T08:33:41.589Z] [INFO] {\n 31679→[2026-02-14T08:33:41.590Z] [INFO] \"type\": \"log\",\n 31680→[2026-02-14T08:33:41.590Z] [INFO] \"level\": \"info\",\n 31681→[2026-02-14T08:33:41.590Z] [INFO] \"timestamp\": \"2026-02-14T08:33:41.582Z\",\n 31682→[2026-02-14T08:33:41.590Z] [INFO] \"service\": \"default\",\n 31683→[2026-02-14T08:33:41.590Z] [INFO] \"version\": \"0.12.1\",\n 31684→[2026-02-14T08:33:41.591Z] [INFO] \"command\": \"/home/hive/.bun/bin/bun /home/hive/.bun/install/global/node_modules/@link-assistant/agent/src/index.js --model moonshot/kimi-k2.5-free --verbose\",\n 31685→[2026-02-14T08:33:41.591Z] [INFO] \"workingDirectory\": \"/tmp/gh-issue-solver-1771057721538\",\n 31686→[2026-02-14T08:33:41.591Z] [INFO] \"scriptPath\": \"/home/hive/.bun/install/global/node_modules/@link-assistant/agent/src/index.js\",\n 31687→[2026-02-14T08:33:41.591Z] [INFO] \"message\": \"Agent started (continuous mode)\"\n 31688→[2026-02-14T08:33:41.591Z] [INFO] }\n 31689→[2026-02-14T08:33:41.591Z] [INFO] {\n 31690→[2026-02-14T08:33:41.591Z] [INFO] \"type\": \"log\",\n 31691→[2026-02-14T08:33:41.591Z] [INFO] \"level\": \"info\",\n 31692→[2026-02-14T08:33:41.592Z] [INFO] \"timestamp\": \"2026-02-14T08:33:41.583Z\",\n 31693→[2026-02-14T08:33:41.592Z] [INFO] \"service\": \"default\",\n 31694→[2026-02-14T08:33:41.592Z] [INFO] \"directory\": \"/tmp/gh-issue-solver-1771057721538\",\n 31695→[2026-02-14T08:33:41.592Z] [INFO] \"message\": \"creating instance\"\n 31696→[2026-02-14T08:33:41.592Z] [INFO] }\n 31697→[2026-02-14T08:33:41.593Z] [INFO] {\n 31698→[2026-02-14T08:33:41.593Z] [INFO] \"type\": \"log\",\n 31699→[2026-02-14T08:33:41.593Z] [INFO] \"level\": \"info\",\n 31700→[2026-02-14T08:33:41.593Z] [INFO] \"timestamp\": \"2026-02-14T08:33:41.583Z\",\n 31701→[2026-02-14T08:33:41.593Z] [INFO] \"service\": \"project\",\n 31702→[2026-02-14T08:33:41.593Z] [INFO] \"directory\": \"/tmp/gh-issue-solver-1771057721538\",\n 31703→[2026-02-14T08:33:41.593Z] [INFO] \"message\": \"fromDirectory\"\n 31704→[2026-02-14T08:33:41.594Z] [INFO] }\n 31705→[2026-02-14T08:33:41.596Z] [INFO] {\n 31706→[2026-02-14T08:33:41.596Z] [INFO] \"type\": \"log\",\n 31707→[2026-02-14T08:33:41.596Z] [INFO] \"level\": \"info\",\n 31708→[2026-02-14T08:33:41.596Z] [INFO] \"timestamp\": \"2026-02-14T08:33:41.595Z\",\n 31709→[2026-02-14T08:33:41.597Z] [INFO] \"service\": \"project\",\n 31710→[2026-02-14T08:33:41.597Z] [INFO] \"status\": \"started\",\n 31711→[2026-02-14T08:33:41.597Z] [INFO] \"message\": \"git.rev-parse\"\n 31712→[2026-02-14T08:33:41.597Z] [INFO] }\n 31713→[2026-02-14T08:33:41.597Z] [INFO] {\n 31714→[2026-02-14T08:33:41.597Z] [INFO] \"type\": \"log\",\n 31715→[2026-02-14T08:33:41.597Z] [INFO] \"level\": \"info\",\n 31716→[2026-02-14T08:33:41.598Z] [INFO] \"timestamp\": \"2026-02-14T08:33:41.596Z\",\n 31717→[2026-02-14T08:33:41.598Z] [INFO] \"service\": \"project\",\n 31718→[2026-02-14T08:33:41.598Z] [INFO] \"status\": \"completed\",\n 31719→[2026-02-14T08:33:41.598Z] [INFO] \"duration\": 1,\n 31720→[2026-02-14T08:33:41.598Z] [INFO] \"message\": \"git.rev-parse\"\n 31721→[2026-02-14T08:33:41.598Z] [INFO] }\n 31722→[2026-02-14T08:33:41.602Z] [INFO] {\n 31723→[2026-02-14T08:33:41.603Z] [INFO] \"type\": \"log\",\n 31724→[2026-02-14T08:33:41.603Z] [INFO] \"level\": \"info\",\n 31725→[2026-02-14T08:33:41.603Z] [INFO] \"timestamp\": \"2026-02-14T08:33:41.602Z\",\n 31726→[2026-02-14T08:33:41.603Z] [INFO] \"service\": \"default\",\n 31727→[2026-02-14T08:33:41.604Z] [INFO] \"providerID\": \"opencode\",\n 31728→[2026-02-14T08:33:41.604Z] [INFO] \"modelID\": \"kimi-k2.5-free\",\n 31729→[2026-02-14T08:33:41.604Z] [INFO] \"message\": \"using explicit provider/model\"\n 31730→[2026-02-14T08:33:41.604Z] [INFO] }\n 31731→[2026-02-14T08:33:41.615Z] [INFO] {\n 31732→[2026-02-14T08:33:41.615Z] [INFO] \"type\": \"log\",\n 31733→[2026-02-14T08:33:41.615Z] [INFO] \"level\": \"info\",\n 31734→[2026-02-14T08:33:41.615Z] [INFO] \"timestamp\": \"2026-02-14T08:33:41.614Z\",\n 31735→[2026-02-14T08:33:41.616Z] [INFO] \"service\": \"server\",\n 31736→[2026-02-14T08:33:41.617Z] [INFO] \"method\": \"POST\",\n 31737→[2026-02-14T08:33:41.617Z] [INFO] \"path\": \"/session\",\n 31738→[2026-02-14T08:33:41.617Z] [INFO] \"message\": \"request\"\n 31739→[2026-02-14T08:33:41.617Z] [INFO] }\n 31740→[2026-02-14T08:33:41.617Z] [INFO] {\n 31741→[2026-02-14T08:33:41.618Z] [INFO] \"type\": \"log\",\n 31742→[2026-02-14T08:33:41.618Z] [INFO] \"level\": \"info\",\n 31743→[2026-02-14T08:33:41.618Z] [INFO] \"timestamp\": \"2026-02-14T08:33:41.614Z\",\n 31744→[2026-02-14T08:33:41.618Z] [INFO] \"service\": \"server\",\n 31745→[2026-02-14T08:33:41.619Z] [INFO] \"status\": \"started\",\n 31746→[2026-02-14T08:33:41.619Z] [INFO] \"method\": \"POST\",\n 31747→[2026-02-14T08:33:41.619Z] [INFO] \"path\": \"/session\",\n 31748→[2026-02-14T08:33:41.619Z] [INFO] \"message\": \"request\"\n 31749→[2026-02-14T08:33:41.620Z] [INFO] }\n 31750→[2026-02-14T08:33:41.620Z] [INFO] {\n 31751→[2026-02-14T08:33:41.620Z] [INFO] \"type\": \"log\",\n 31752→[2026-02-14T08:33:41.621Z] [INFO] \"level\": \"info\",\n 31753→[2026-02-14T08:33:41.621Z] [INFO] \"timestamp\": \"2026-02-14T08:33:41.617Z\",\n 31754→[2026-02-14T08:33:41.621Z] [INFO] \"service\": \"session\",\n 31755→[2026-02-14T08:33:41.621Z] [INFO] \"id\": \"ses_3a4b73b0effeFXKMNNCv1Lm3b2\",\n 31756→[2026-02-14T08:33:41.621Z] [INFO] \"version\": \"agent-cli-1.0.0\",\n 31757→[2026-02-14T08:33:41.622Z] [INFO] \"projectID\": \"68a8954c9d7b6da77ec190a19b74ffa469903d67\",\n 31758→[2026-02-14T08:33:41.622Z] [INFO] \"directory\": \"/tmp/gh-issue-solver-1771057721538\",\n 31759→[2026-02-14T08:33:41.622Z] [INFO] \"title\": \"New session - 2026-02-14T08:33:41.617Z\",\n 31760→[2026-02-14T08:33:41.622Z] [INFO] \"time\": {\n 31761→[2026-02-14T08:33:41.622Z] [INFO] \"created\": 1771058021617,\n 31762→[2026-02-14T08:33:41.622Z] [INFO] \"updated\": 1771058021617\n 31763→[2026-02-14T08:33:41.623Z] [INFO] },\n 31764→[2026-02-14T08:33:41.623Z] [INFO] \"message\": \"created\"\n 31765→[2026-02-14T08:33:41.623Z] [INFO] }\n 31766→[2026-02-14T08:33:41.623Z] [INFO] {\n 31767→[2026-02-14T08:33:41.623Z] [INFO] \"type\": \"session.created\",\n 31768→[2026-02-14T08:33:41.624Z] [INFO] \"level\": \"info\",\n 31769→[2026-02-14T08:33:41.624Z] [INFO] \"timestamp\": \"2026-02-14T08:33:41.617Z\",\n 31770→[2026-02-14T08:33:41.624Z] [INFO] \"service\": \"bus\",\n 31771→[2026-02-14T08:33:41.624Z] [INFO] \"message\": \"publishing\"\n 31772→[2026-02-14T08:33:41.625Z] [INFO] }\n 31773→[2026-02-14T08:33:41.625Z] [INFO] {\n 31774→[2026-02-14T08:33:41.625Z] [INFO] \"type\": \"session.updated\",\n 31775→[2026-02-14T08:33:41.625Z] [INFO] \"level\": \"info\",\n 31776→[2026-02-14T08:33:41.627Z] [INFO] \"timestamp\": \"2026-02-14T08:33:41.617Z\",\n 31777→[2026-02-14T08:33:41.627Z] [INFO] \"service\": \"bus\",\n 31778→[2026-02-14T08:33:41.628Z] [INFO] \"message\": \"publishing\"\n 31779→[2026-02-14T08:33:41.628Z] [INFO] }\n 31780→[2026-02-14T08:33:41.628Z] [INFO] {\n 31781→[2026-02-14T08:33:41.628Z] [INFO] \"type\": \"log\",\n 31782→[2026-02-14T08:33:41.628Z] [INFO] \"level\": \"info\",\n 31783→[2026-02-14T08:33:41.628Z] [INFO] \"timestamp\": \"2026-02-14T08:33:41.617Z\",\n 31784→[2026-02-14T08:33:41.628Z] [INFO] \"service\": \"server\",\n 31785→[2026-02-14T08:33:41.629Z] [INFO] \"status\": \"completed\",\n 31786→[2026-02-14T08:33:41.629Z] [INFO] \"duration\": 3,\n 31787→[2026-02-14T08:33:41.629Z] [INFO] \"method\": \"POST\",\n 31788→[2026-02-14T08:33:41.629Z] [INFO] \"path\": \"/session\",\n 31789→[2026-02-14T08:33:41.629Z] [INFO] \"message\": \"request\"\n 31790→[2026-02-14T08:33:41.629Z] [INFO] }\n 31791→[2026-02-14T08:33:41.629Z] [INFO] {\n 31792→[2026-02-14T08:33:41.629Z] [INFO] \"type\": \"*\",\n 31793→[2026-02-14T08:33:41.630Z] [INFO] \"level\": \"info\",\n 31794→[2026-02-14T08:33:41.630Z] [INFO] \"timestamp\": \"2026-02-14T08:33:41.620Z\",\n 31795→[2026-02-14T08:33:41.630Z] [INFO] \"service\": \"bus\",\n 31796→[2026-02-14T08:33:41.630Z] [INFO] \"message\": \"subscribing\"\n 31797→[2026-02-14T08:33:41.630Z] [INFO] }\n 31798→[2026-02-14T08:33:41.630Z] [INFO] {\n 31799→[2026-02-14T08:33:41.630Z] [INFO] \"type\": \"input\",\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": "toolu_019fizTgnNBJ77MKCxv1vziw", | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "5e5c3221-a29f-4ea4-be49-f063314d14b8" | |
| } | |
| [2026-02-14T11:25:06.348Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-haiku-4-5-20251001", | |
| "id": "msg_01QKykfGZDwZvKXde1KZ7oXw", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_019R8YqXaaX16TW3V78LUdgP", | |
| "name": "Grep", | |
| "input": { | |
| "pattern": "retry|rate|limit|429|429", | |
| "path": "/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/original-log.txt", | |
| "output_mode": "content", | |
| "context": 3, | |
| "head_limit": 80 | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 7, | |
| "cache_creation_input_tokens": 5601, | |
| "cache_read_input_tokens": 58597, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 5601 | |
| }, | |
| "output_tokens": 3, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": "toolu_019fizTgnNBJ77MKCxv1vziw", | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "f33a204b-0ce0-4df3-ab0b-6af45f702a0e" | |
| } | |
| [2026-02-14T11:25:06.378Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_019R8YqXaaX16TW3V78LUdgP", | |
| "type": "tool_result", | |
| "content": "5-[2026-02-14T08:28:32.465Z] [INFO] \n6-[2026-02-14T08:28:32.465Z] [INFO] 🚀 solve v1.23.1\n7-[2026-02-14T08:28:32.466Z] [INFO] 🔧 Raw command executed:\n8:[2026-02-14T08:28:32.466Z] [INFO] /home/hive/.nvm/versions/node/v20.20.0/bin/node /home/hive/.bun/bin/solve https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761 --tool agent --model kimi-k2.5-free --attach-logs --verbose --no-tool-check --auto-resume-on-limit-reset --tokens-budget-stats\n9-[2026-02-14T08:28:32.467Z] [INFO] \n10-[2026-02-14T08:28:32.867Z] [INFO] \n11-[2026-02-14T08:28:32.868Z] [WARNING] ⚠️ SECURITY WARNING: --attach-logs is ENABLED\n--\n167-[2026-02-14T08:28:56.751Z] [INFO] PR Body:\n168-## 🤖 AI-Powered Solution Draft\n169-\n170:This pull request is being automatically generated to solve issue Jhon-Crow/godot-topdown-MVP#761.\n171-\n172-### 📋 Issue Reference\n173-Fixes Jhon-Crow/godot-topdown-MVP#761\n--\n398-[2026-02-14T08:29:06.559Z] [INFO] {\n399-[2026-02-14T08:29:06.559Z] [INFO] \"type\": \"input\",\n400-[2026-02-14T08:29:06.560Z] [INFO] \"timestamp\": \"2026-02-14T08:29:06.558Z\",\n401:[Omitted long matching line]\n402-[2026-02-14T08:29:06.560Z] [INFO] \"parsed\": {\n403:[Omitted long matching line]\n404-[2026-02-14T08:29:06.561Z] [INFO] },\n405-[2026-02-14T08:29:06.561Z] [INFO] \"format\": \"text\"\n406-[2026-02-14T08:29:06.561Z] [INFO] }\n--\n500-[2026-02-14T08:29:06.595Z] [INFO] \"level\": \"info\",\n501-[2026-02-14T08:29:06.595Z] [INFO] \"timestamp\": \"2026-02-14T08:29:06.594Z\",\n502-[2026-02-14T08:29:06.595Z] [INFO] \"service\": \"session.prompt\",\n503:[2026-02-14T08:29:06.596Z] [INFO] \"hint\": \"Enable with --generate-title flag or AGENT_GENERATE_TITLE=true\",\n504-[2026-02-14T08:29:06.596Z] [INFO] \"message\": \"title generation disabled\"\n505-[2026-02-14T08:29:06.597Z] [INFO] }\n506-[2026-02-14T08:29:06.597Z] [INFO] {\n--\n651-[2026-02-14T08:29:06.713Z] [INFO] \"timestamp\": \"2026-02-14T08:29:06.710Z\",\n652-[2026-02-14T08:29:06.713Z] [INFO] \"service\": \"ripgrep\",\n653-[2026-02-14T08:29:06.713Z] [INFO] \"cwd\": \"/tmp/gh-issue-solver-1771057721538\",\n654:[2026-02-14T08:29:06.713Z] [INFO] \"limit\": 200,\n655-[2026-02-14T08:29:06.713Z] [INFO] \"message\": \"tree\"\n656-[2026-02-14T08:29:06.714Z] [INFO] }\n657-[2026-02-14T08:29:06.761Z] [INFO] {\n--\n693-[2026-02-14T08:29:08.661Z] [INFO] \"type\": \"log\",\n694-[2026-02-14T08:29:08.661Z] [INFO] \"level\": \"info\",\n695-[2026-02-14T08:29:08.661Z] [INFO] \"timestamp\": \"2026-02-14T08:29:08.659Z\",\n696:[2026-02-14T08:29:08.661Z] [INFO] \"service\": \"retry-fetch\",\n697-[2026-02-14T08:29:08.662Z] [INFO] \"headerValue\": 55852,\n698-[2026-02-14T08:29:08.662Z] [INFO] \"delayMs\": 55852000,\n699:[2026-02-14T08:29:08.662Z] [INFO] \"message\": \"parsed retry-after header (seconds)\"\n700-[2026-02-14T08:29:08.662Z] [INFO] }\n701-[2026-02-14T08:29:08.662Z] [INFO] {\n702-[2026-02-14T08:29:08.663Z] [INFO] \"type\": \"log\",\n703-[2026-02-14T08:29:08.663Z] [INFO] \"level\": \"info\",\n704-[2026-02-14T08:29:08.663Z] [INFO] \"timestamp\": \"2026-02-14T08:29:08.659Z\",\n705:[2026-02-14T08:29:08.663Z] [INFO] \"service\": \"retry-fetch\",\n706:[2026-02-14T08:29:08.663Z] [INFO] \"retryAfterMs\": 55852000,\n707-[2026-02-14T08:29:08.663Z] [INFO] \"delay\": 55852000,\n708-[2026-02-14T08:29:08.664Z] [INFO] \"minInterval\": 30000,\n709:[2026-02-14T08:29:08.664Z] [INFO] \"message\": \"using retry-after value\"\n710-[2026-02-14T08:29:08.664Z] [INFO] }\n711-[2026-02-14T08:29:08.664Z] [INFO] {\n712-[2026-02-14T08:29:08.664Z] [INFO] \"type\": \"log\",\n713-[2026-02-14T08:29:08.664Z] [INFO] \"level\": \"info\",\n714-[2026-02-14T08:29:08.665Z] [INFO] \"timestamp\": \"2026-02-14T08:29:08.660Z\",\n715:[2026-02-14T08:29:08.665Z] [INFO] \"service\": \"retry-fetch\",\n716-[2026-02-14T08:29:08.665Z] [INFO] \"sessionID\": \"opencode\",\n717-[2026-02-14T08:29:08.665Z] [INFO] \"attempt\": 1,\n718-[2026-02-14T08:29:08.665Z] [INFO] \"delay\": 59155378,\n719-[2026-02-14T08:29:08.665Z] [INFO] \"delayMinutes\": \"985.92\",\n720-[2026-02-14T08:29:08.666Z] [INFO] \"elapsed\": 1875,\n721-[2026-02-14T08:29:08.666Z] [INFO] \"remainingTimeout\": 604798125,\n722:[2026-02-14T08:29:08.666Z] [INFO] \"message\": \"rate limited, will retry\"\n723-[2026-02-14T08:29:08.666Z] [INFO] }\n724-[2026-02-14T08:29:11.917Z] [INFO] {\n725-[2026-02-14T08:29:11.918Z] [INFO] \"type\": \"log\",\n--\n1719-[2026-02-14T08:29:14.298Z] [INFO] }\n1720-[2026-02-14T08:29:14.298Z] [INFO] {\n1721-[2026-02-14T08:29:14.299Z] [INFO] \"type\": \"tool_use\",\n1722:[2026-02-14T08:29:14.299Z] [INFO] \"timestamp\": 1771057754296,\n\n[Showing results with pagination = limit: 80, offset: 0]" | |
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| [2026-02-14T11:25:29.652Z] [INFO] { | |
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| "text": "Excellent! Now I have comprehensive information. Let me create a detailed analysis report based on all the data I've gathered:\n\n## Analysis of Issue 169 - Original Log File\n\nBased on my thorough analysis of the original log file at `/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/original-log.txt`, here are the findings:\n\n### 1. **References to \"kilo\" or \"api.kilo.ai\"**\n\nThe log shows references to a \"kilo\" provider that was discovered during provider initialization:\n\n```\n[2026-02-14T08:29:06.619Z] [INFO] \"providerID\": \"kilo\",\n[2026-02-14T08:29:06.620Z] [INFO] \"message\": \"found\"\n```\n\nHowever, \"kilo\" was found but not selected. The actual provider used was \"opencode\".\n\n### 2. **Exact Provider/Model Configuration at Startup**\n\nThe command executed was:\n```\n[2026-02-14T08:28:32.466Z] [INFO] /home/hive/.nvm/versions/node/v20.20.0/bin/node /home/hive/.bun/bin/solve https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761 --tool agent --model kimi-k2.5-free --attach-logs --verbose --no-tool-check --auto-resume-on-limit-reset --tokens-budget-stats\n```\n\nThe explicit provider/model configuration selected was:\n```\n[2026-02-14T08:29:06.525Z] [INFO] \"providerID\": \"opencode\",\n[2026-02-14T08:29:06.525Z] [INFO] \"modelID\": \"kimi-k2.5-free\",\n[2026-02-14T08:29:06.525Z] [INFO] \"message\": \"using explicit provider/model\"\n```\n\nLater confirmed again:\n```\n[2026-02-14T08:33:41.604Z] [INFO] \"providerID\": \"opencode\",\n[2026-02-14T08:33:41.604Z] [INFO] \"modelID\": \"kimi-k2.5-free\",\n[2026-02-14T08:33:41.604Z] [INFO] \"message\": \"using explicit provider/model\"\n```\n\n### 3. **Provider Configuration Files Loaded**\n\nThe system attempted to load configuration from these files:\n```\n[2026-02-14T08:29:06.574Z] [INFO] \"path\": \"/home/hive/.config/link-assistant-agent/config.json\",\n[2026-02-14T08:29:06.576Z] [INFO] \"path\": \"/home/hive/.config/link-assistant-agent/opencode.json\",\n[2026-02-14T08:29:06.577Z] [INFO] \"path\": \"/home/hive/.config/link-assistant-agent/opencode.jsonc\",\n```\n\n### 4. **Provider SDK Package Used**\n\nThe opencode provider uses:\n```\n[2026-02-14T08:29:06.628Z] [INFO] \"pkg\": \"@ai-sdk/openai-compatible\",\n[2026-02-14T08:29:06.630Z] [INFO] \"installedPath\": \"/home/hive/.cache/link-assistant-agent/node_modules/@ai-sdk/openai-compatible\",\n[2026-02-14T08:29:06.630Z] [INFO] \"message\": \"provider package installed successfully\"\n```\n\nThis is a critical detail: the system is using **@ai-sdk/openai-compatible**, which is designed to work with OpenAI-compatible APIs (like those following the OpenAI format).\n\n### 5. **Rate Limiting and Retry-After Header**\n\nThe system received a rate-limit response with a retry-after header:\n```\n[2026-02-14T08:29:08.662Z] [INFO] \"headerValue\": 55852,\n[2026-02-14T08:29:08.662Z] [INFO] \"delayMs\": 55852000,\n[2026-02-14T08:29:08.662Z] [INFO] \"message\": \"parsed retry-after header (seconds)\"\n\n[2026-02-14T08:29:08.663Z] [INFO] \"retryAfterMs\": 55852000,\n[2026-02-14T08:29:08.663Z] [INFO] \"delay\": 55852000,\n[2026-02-14T08:29:08.666Z] [INFO] \"delayMinutes\": \"985.92\",\n[2026-02-14T08:29:08.666Z] [INFO] \"message\": \"rate limited, will retry\"\n```\n\nThis indicates the API returned a **55,852-second (approximately 15.5 hours)** retry-after delay.\n\n### 6. **AI_JSONParseError Details**\n\nThe error occurred at **2026-02-14T08:34:12.210Z** and was captured in the stream:\n\n```\n[2026-02-14T08:34:12.212Z] [INFO] \"error\": {\n[2026-02-14T08:34:12.212Z] [INFO] \"name\": \"AI_JSONParseError\",\n[2026-02-14T08:34:12.212Z] [INFO] \"cause\": {},\n[2026-02-14T08:34:12.212Z] [INFO] \"text\": \"{\\\"id\\\":\\\"chatcmpl-jQugNdata:{\\\"id\\\":\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\",\\\"object\\\":\\\"chat.completion.chunk\\\",\\\"created\\\":1771058051,\\\"model\\\":\\\"kimi-k2.5\\\",\\\"choices\\\":[{\\\"index\\\":0,\\\"delta\\\":{\\\"role\\\":\\\"assistant\\\",\\\"content\\\":\\\"\\\"},\\\"finish_reason\\\":null}],\\\"system_fingerprint\\\":\\\"fpv0_f7e5c49a\\\"}\"\n[2026-02-14T08:34:12.213Z] [INFO] \"message\": \"stream error\"\n```\n\nThe full error message:\n```\n\"AI_JSONParseError: JSON parsing failed: Text: {\\\"id\\\":\\\"chatcmpl-jQugNdata:{...}\\nError message: JSON Parse error: Expected '}'\"\n```\n\n**Critical Issue**: The JSON response is malformed. The `\"id\"` field contains:\n- `\"id\":\"chatcmpl-jQugNdata:{` instead of properly closed\n- This appears to be a response concatenation issue where two API responses got merged\n\n### 7. **Sequence of Events**\n\n1. **08:29:06.525Z** - Agent starts with opencode/kimi-k2.5-free provider selected\n2. **08:29:06.627Z** - SDK installation begins (@ai-sdk/openai-compatible)\n3. **08:29:06.710Z** - SDK installation completed\n4. **08:29:08.659Z** - Rate-limit response received with 55,852 second retry-after\n5. **08:29:08.666Z** - Retry scheduled for 985.92 minutes later\n6. **08:33:41.218Z** - Auto-restart initiates (after 4.5+ minutes)\n7. **08:34:12.210Z** - **AI_JSONParseError occurs during streaming**\n\n### 8. **References to \"opencode\" and \"zen\"**\n\n**\"opencode\"** is the primary provider used throughout:\n- Appears 50+ times in logs showing it's the active provider\n- Configuration files reference: `/home/hive/.config/link-assistant-agent/opencode.json`\n\n**\"zen\"** is NOT found in the logs - no references to this provider.\n\n### 9. **Actual API Endpoint**\n\nWhile the logs don't directly show the HTTP base URL, we can infer from context:\n- The SDK used is `@ai-sdk/openai-compatible` (designed for OpenAI-compatible APIs)\n- The model returned in the error response shows: `\"model\":\"kimi-k2.5\"`\n- This indicates the API is compatible with OpenAI's chat completion format but serving kimi (Moonshot) models\n- The stream response format follows OpenAI's streaming format (chat.completion.chunk objects)\n\n### 10. **Summary of the Problem**\n\nThe **AI_JSONParseError** stems from a **malformed JSON response from the streaming API**. The response shows:\n```json\n{\"id\":\"chatcmpl-jQugNdata:{...\n```\n\nThe `id` field is improperly formatted - it appears two responses were concatenated or the response was split incorrectly. This is a **provider-side issue** where the API response stream was either:\n1. Corrupted during transmission\n2. Incorrectly concatenated from multiple chunks \n3. A bug in the API server's streaming response generation\n\nThe @ai-sdk/openai-compatible parser expected valid JSON for each stream event but received malformed data, causing the JSON parse error with message \"Expected '}'\" (incomplete JSON)." | |
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| "text": "agentId: a311f4f (for resuming to continue this agent's work if needed)\n<usage>total_tokens: 75994\ntool_uses: 26\nduration_ms: 56421</usage>" | |
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| "prompt": "Download and analyze the original log file for issue 169 from the gist URL. The log is at:\nhttps://gist.githubusercontent.com/konard/06e84135c9a4c875b21868695f3043d2/raw/9368328432dfd8bec86931c66800d48e835c1b39/solve-2026-02-14T08-28-31-968Z.log\n\nIt's already been downloaded to /tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/original-log.txt\n\nPlease read that file and search for:\n\n1. Any references to \"kilo\" or \"api.kilo.ai\" in the logs\n2. The exact provider/model configuration used at startup\n3. Any API base URL that was configured\n4. The sequence of events from process start to the AI_JSONParseError\n5. What API endpoint was actually called (the HTTP request URL)\n6. Any environment variables or config that specify the API endpoint\n7. Any references to \"opencode\", \"zen\", \"openrouter\"\n8. The exact error messages and their timestamps\n\nQuote the relevant log lines verbatim. I need to understand the full provider chain from the logs.", | |
| "agentId": "a311f4f", | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": "Excellent! Now I have comprehensive information. Let me create a detailed analysis report based on all the data I've gathered:\n\n## Analysis of Issue 169 - Original Log File\n\nBased on my thorough analysis of the original log file at `/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/original-log.txt`, here are the findings:\n\n### 1. **References to \"kilo\" or \"api.kilo.ai\"**\n\nThe log shows references to a \"kilo\" provider that was discovered during provider initialization:\n\n```\n[2026-02-14T08:29:06.619Z] [INFO] \"providerID\": \"kilo\",\n[2026-02-14T08:29:06.620Z] [INFO] \"message\": \"found\"\n```\n\nHowever, \"kilo\" was found but not selected. The actual provider used was \"opencode\".\n\n### 2. **Exact Provider/Model Configuration at Startup**\n\nThe command executed was:\n```\n[2026-02-14T08:28:32.466Z] [INFO] /home/hive/.nvm/versions/node/v20.20.0/bin/node /home/hive/.bun/bin/solve https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761 --tool agent --model kimi-k2.5-free --attach-logs --verbose --no-tool-check --auto-resume-on-limit-reset --tokens-budget-stats\n```\n\nThe explicit provider/model configuration selected was:\n```\n[2026-02-14T08:29:06.525Z] [INFO] \"providerID\": \"opencode\",\n[2026-02-14T08:29:06.525Z] [INFO] \"modelID\": \"kimi-k2.5-free\",\n[2026-02-14T08:29:06.525Z] [INFO] \"message\": \"using explicit provider/model\"\n```\n\nLater confirmed again:\n```\n[2026-02-14T08:33:41.604Z] [INFO] \"providerID\": \"opencode\",\n[2026-02-14T08:33:41.604Z] [INFO] \"modelID\": \"kimi-k2.5-free\",\n[2026-02-14T08:33:41.604Z] [INFO] \"message\": \"using explicit provider/model\"\n```\n\n### 3. **Provider Configuration Files Loaded**\n\nThe system attempted to load configuration from these files:\n```\n[2026-02-14T08:29:06.574Z] [INFO] \"path\": \"/home/hive/.config/link-assistant-agent/config.json\",\n[2026-02-14T08:29:06.576Z] [INFO] \"path\": \"/home/hive/.config/link-assistant-agent/opencode.json\",\n[2026-02-14T08:29:06.577Z] [INFO] \"path\": \"/home/hive/.config/link-assistant-agent/opencode.jsonc\",\n```\n\n### 4. **Provider SDK Package Used**\n\nThe opencode provider uses:\n```\n[2026-02-14T08:29:06.628Z] [INFO] \"pkg\": \"@ai-sdk/openai-compatible\",\n[2026-02-14T08:29:06.630Z] [INFO] \"installedPath\": \"/home/hive/.cache/link-assistant-agent/node_modules/@ai-sdk/openai-compatible\",\n[2026-02-14T08:29:06.630Z] [INFO] \"message\": \"provider package installed successfully\"\n```\n\nThis is a critical detail: the system is using **@ai-sdk/openai-compatible**, which is designed to work with OpenAI-compatible APIs (like those following the OpenAI format).\n\n### 5. **Rate Limiting and Retry-After Header**\n\nThe system received a rate-limit response with a retry-after header:\n```\n[2026-02-14T08:29:08.662Z] [INFO] \"headerValue\": 55852,\n[2026-02-14T08:29:08.662Z] [INFO] \"delayMs\": 55852000,\n[2026-02-14T08:29:08.662Z] [INFO] \"message\": \"parsed retry-after header (seconds)\"\n\n[2026-02-14T08:29:08.663Z] [INFO] \"retryAfterMs\": 55852000,\n[2026-02-14T08:29:08.663Z] [INFO] \"delay\": 55852000,\n[2026-02-14T08:29:08.666Z] [INFO] \"delayMinutes\": \"985.92\",\n[2026-02-14T08:29:08.666Z] [INFO] \"message\": \"rate limited, will retry\"\n```\n\nThis indicates the API returned a **55,852-second (approximately 15.5 hours)** retry-after delay.\n\n### 6. **AI_JSONParseError Details**\n\nThe error occurred at **2026-02-14T08:34:12.210Z** and was captured in the stream:\n\n```\n[2026-02-14T08:34:12.212Z] [INFO] \"error\": {\n[2026-02-14T08:34:12.212Z] [INFO] \"name\": \"AI_JSONParseError\",\n[2026-02-14T08:34:12.212Z] [INFO] \"cause\": {},\n[2026-02-14T08:34:12.212Z] [INFO] \"text\": \"{\\\"id\\\":\\\"chatcmpl-jQugNdata:{\\\"id\\\":\\\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\\\",\\\"object\\\":\\\"chat.completion.chunk\\\",\\\"created\\\":1771058051,\\\"model\\\":\\\"kimi-k2.5\\\",\\\"choices\\\":[{\\\"index\\\":0,\\\"delta\\\":{\\\"role\\\":\\\"assistant\\\",\\\"content\\\":\\\"\\\"},\\\"finish_reason\\\":null}],\\\"system_fingerprint\\\":\\\"fpv0_f7e5c49a\\\"}\"\n[2026-02-14T08:34:12.213Z] [INFO] \"message\": \"stream error\"\n```\n\nThe full error message:\n```\n\"AI_JSONParseError: JSON parsing failed: Text: {\\\"id\\\":\\\"chatcmpl-jQugNdata:{...}\\nError message: JSON Parse error: Expected '}'\"\n```\n\n**Critical Issue**: The JSON response is malformed. The `\"id\"` field contains:\n- `\"id\":\"chatcmpl-jQugNdata:{` instead of properly closed\n- This appears to be a response concatenation issue where two API responses got merged\n\n### 7. **Sequence of Events**\n\n1. **08:29:06.525Z** - Agent starts with opencode/kimi-k2.5-free provider selected\n2. **08:29:06.627Z** - SDK installation begins (@ai-sdk/openai-compatible)\n3. **08:29:06.710Z** - SDK installation completed\n4. **08:29:08.659Z** - Rate-limit response received with 55,852 second retry-after\n5. **08:29:08.666Z** - Retry scheduled for 985.92 minutes later\n6. **08:33:41.218Z** - Auto-restart initiates (after 4.5+ minutes)\n7. **08:34:12.210Z** - **AI_JSONParseError occurs during streaming**\n\n### 8. **References to \"opencode\" and \"zen\"**\n\n**\"opencode\"** is the primary provider used throughout:\n- Appears 50+ times in logs showing it's the active provider\n- Configuration files reference: `/home/hive/.config/link-assistant-agent/opencode.json`\n\n**\"zen\"** is NOT found in the logs - no references to this provider.\n\n### 9. **Actual API Endpoint**\n\nWhile the logs don't directly show the HTTP base URL, we can infer from context:\n- The SDK used is `@ai-sdk/openai-compatible` (designed for OpenAI-compatible APIs)\n- The model returned in the error response shows: `\"model\":\"kimi-k2.5\"`\n- This indicates the API is compatible with OpenAI's chat completion format but serving kimi (Moonshot) models\n- The stream response format follows OpenAI's streaming format (chat.completion.chunk objects)\n\n### 10. **Summary of the Problem**\n\nThe **AI_JSONParseError** stems from a **malformed JSON response from the streaming API**. The response shows:\n```json\n{\"id\":\"chatcmpl-jQugNdata:{...\n```\n\nThe `id` field is improperly formatted - it appears two responses were concatenated or the response was split incorrectly. This is a **provider-side issue** where the API response stream was either:\n1. Corrupted during transmission\n2. Incorrectly concatenated from multiple chunks \n3. A bug in the API server's streaming response generation\n\nThe @ai-sdk/openai-compatible parser expected valid JSON for each stream event but received malformed data, causing the JSON parse error with message \"Expected '}'\" (incomplete JSON)." | |
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| "totalDurationMs": 56421, | |
| "totalTokens": 75994, | |
| "totalToolUseCount": 26, | |
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| [2026-02-14T11:25:31.973Z] [INFO] { | |
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| "text": "Perfect! I now have a comprehensive understanding. Let me create a final report with all the details:\n\n## Complete Resolution Chain: `--model kimi-k2.5-free` to API Endpoint\n\nBased on my thorough search of the codebase, here's the complete picture of how `--model kimi-k2.5-free` is resolved to an actual API endpoint:\n\n---\n\n### 1. **Model Resolution Entry Point** (`/tmp/gh-issue-solver-1771068195706/js/src/index.js:156-240`)\n\nWhen you run `agent --model kimi-k2.5-free`, the CLI parses this through `parseModelConfig()`:\n\n```typescript\nasync function parseModelConfig(argv) {\n const modelArg = argv.model; // \"kimi-k2.5-free\"\n \n // Check if model includes explicit provider prefix\n if (modelArg.includes('/')) {\n // Explicit provider specified (e.g., \"kilo/kimi-k2.5-free\")\n const modelParts = modelArg.split('/');\n providerID = modelParts[0];\n modelID = modelParts.slice(1).join('/');\n } else {\n // Short model name - resolve to appropriate provider\n const { Provider } = await import('./provider/provider.ts');\n const resolved = await Provider.parseModelWithResolution(modelArg);\n providerID = resolved.providerID;\n modelID = resolved.modelID;\n }\n \n return { providerID, modelID };\n}\n```\n\nFor `kimi-k2.5-free` (no slash), it calls **`parseModelWithResolution()`**.\n\n---\n\n### 2. **Model Resolution Logic** (`/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:1484-1508`)\n\n```typescript\nexport async function parseModelWithResolution(\n model: string\n): Promise<{ providerID: string; modelID: string }> {\n // Check if model includes a provider prefix\n if (model.includes('/')) {\n // Explicit provider specified - use it directly\n return parseModel(model);\n }\n\n // No provider prefix - try to resolve the short model name\n const resolved = await resolveShortModelName(model);\n if (resolved) {\n return resolved;\n }\n\n // Unable to resolve - fall back to default behavior (opencode provider)\n return {\n providerID: 'opencode',\n modelID: model,\n };\n}\n```\n\nThis calls **`resolveShortModelName()`** for short names.\n\n---\n\n### 3. **Short Name Resolution** (`/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:1402-1470`)\n\n```typescript\nexport async function resolveShortModelName(\n modelID: string\n): Promise<{ providerID: string; modelID: string } | undefined> {\n const s = await state();\n\n // Define model-to-provider mappings for free models\n // Models unique to Kilo (GLM models from Z.AI are only free on Kilo)\n const kiloUniqueModels = [\n 'glm-5-free',\n 'glm-4.7-free',\n 'giga-potato-free',\n 'trinity-large-preview',\n ];\n\n // Check if it's a Kilo-unique model\n if (kiloUniqueModels.includes(modelID)) {\n const kiloProvider = s.providers['kilo'];\n if (kiloProvider && kiloProvider.info.models[modelID]) {\n return { providerID: 'kilo', modelID };\n }\n }\n\n // Check if model exists in any provider\n const matchingProviders: string[] = [];\n for (const [providerID, provider] of Object.entries(s.providers)) {\n if (provider.info.models[modelID]) {\n matchingProviders.push(providerID);\n }\n }\n\n if (matchingProviders.length === 0) {\n return undefined;\n }\n\n if (matchingProviders.length === 1) {\n return { providerID: matchingProviders[0], modelID };\n }\n\n // Multiple providers have this model - prefer OpenCode for shared free models\n // This follows the convention that opencode is the primary free provider\n if (matchingProviders.includes('opencode')) {\n return { providerID: 'opencode', modelID };\n }\n\n // Fallback to first matching provider\n return { providerID: matchingProviders[0], modelID };\n}\n```\n\n**For `kimi-k2.5-free`:**\n- It's NOT in `kiloUniqueModels` (those are GLM variants)\n- `kimi-k2.5-free` exists in **both** `opencode` and `kilo` providers\n- Since `matchingProviders.includes('opencode')` is true, it returns: **`{ providerID: 'opencode', modelID: 'kimi-k2.5-free' }`**\n\n---\n\n### 4. **Provider Configuration** (`/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:769-927`)\n\nThe Kilo provider is defined in the provider state initialization:\n\n```typescript\ndatabase['kilo'] = {\n id: 'kilo',\n name: 'Kilo Gateway',\n npm: '@ai-sdk/openai-compatible',\n api: 'https://api.kilo.ai/api/gateway',\n env: ['KILO_API_KEY'],\n models: {\n 'kimi-k2.5-free': {\n id: 'moonshot/kimi-k2.5:free', // <-- Actual model ID sent to API\n name: 'Kimi K2.5 (Free)',\n release_date: '2025-12-01',\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 131072,\n output: 65536,\n },\n // ... other properties\n },\n // Other free models...\n },\n};\n```\n\nSimilarly, OpenCode would have its own mapping:\n```typescript\n// OpenCode provider definition (from models.dev)\nmodels: {\n 'kimi-k2.5-free': {\n id: 'moonshot/kimi-k2.5:free', // Same actual model ID\n // ... properties\n },\n // ...\n}\n```\n\n---\n\n### 5. **Model ID Mapping** (`/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:1218-1230`)\n\nWhen getting the actual model, the system looks up the **real ID**:\n\n```typescript\n// For regular providers, load the SDK first\nconst sdk = await getSDK(provider.info, info!);\nconst keyReal = `${providerID}/${modelID}`;\nconst realID = s.realIdByKey.get(keyReal) ?? (info ? info.id : modelID);\n\nlanguage = provider.getModel\n ? await provider.getModel(sdk, realID, provider.options)\n : sdk.languageModel(realID);\n```\n\nSo for `opencode/kimi-k2.5-free`:\n- `keyReal = \"opencode/kimi-k2.5-free\"`\n- `realID = info.id = \"moonshot/kimi-k2.5:free\"`\n- This **real ID** is passed to the SDK\n\n---\n\n### 6. **SDK Initialization & API Endpoint** (`/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:1075-1175`)\n\nThe provider info (which includes the API endpoint) is merged into SDK options:\n\n```typescript\nasync function getSDK(provider: ModelsDev.Provider, model: ModelsDev.Model) {\n const s = await state();\n const pkg = model.provider?.npm ?? provider.npm ?? provider.id;\n const options = { ...s.providers[provider.id]?.options };\n \n // For Kilo provider:\n // pkg = '@ai-sdk/openai-compatible'\n // options includes baseURL from provider.info.api\n \n const fn = mod[Object.keys(mod).find((key) => key.startsWith('create'))!];\n const loaded = fn({\n name: provider.id,\n ...options, // This includes baseURL, apiKey, etc.\n });\n \n return loaded as SDK;\n}\n```\n\n---\n\n### 7. **Provider Info Merging** (`/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:652-678`)\n\nThe provider's API endpoint is set from the provider definition:\n\n```typescript\nfunction mergeProvider(\n id: string,\n options: Record<string, any>,\n source: Source,\n getModel?: ...\n) {\n const provider = providers[id];\n if (!provider) {\n const info = database[id];\n if (!info) return;\n if (info.api && !options['baseURL']) options['baseURL'] = info.api; // <-- KEY LINE\n providers[id] = {\n source,\n info,\n options,\n getModel,\n };\n }\n}\n```\n\nFor the **Kilo provider**, `info.api = 'https://api.kilo.ai/api/gateway'`\n\nFor the **OpenCode provider** (from models.dev), it would have its own API endpoint.\n\n---\n\n### 8. **Actual Resolution Chain for `--model kimi-k2.5-free`**\n\n```\nUser Input: --model kimi-k2.5-free\n ↓\nparseModelConfig() detects no \"/\" → calls parseModelWithResolution()\n ↓\nresolveShortModelName('kimi-k2.5-free')\n ↓\nChecks providers: Found in BOTH 'opencode' AND 'kilo'\n ↓\nPrefers 'opencode' (line 1452)\n ↓\nReturns { providerID: 'opencode', modelID: 'kimi-k2.5-free' }\n ↓\ngetModel('opencode', 'kimi-k2.5-free')\n ↓\nLooks up model info in database['opencode'].models['kimi-k2.5-free']\n ↓\nGets realID = 'moonshot/kimi-k2.5:free' (from model.id)\n ↓\nCreates SDK from '@ai-sdk/openai-compatible'\n ↓\nPasses baseURL and apiKey from opencode provider options\n ↓\nSDK makes request to: [opencode's baseURL] with model: 'moonshot/kimi-k2.5:free'\n```\n\n---\n\n### 9. **Important Note About Kilo Gateway**\n\n**Kilo AI Gateway IS involved** when you want to use it explicitly:\n\n```bash\nagent --model kilo/kimi-k2.5-free\n```\n\nThis would return `{ providerID: 'kilo', modelID: 'kimi-k2.5-free' }` and use:\n- **SDK**: `@ai-sdk/openai-compatible`\n- **Base URL**: `https://api.kilo.ai/api/gateway`\n- **Model ID**: `moonshot/kimi-k2.5:free`\n- **API Key**: From `KILO_API_KEY` environment variable (or `\"public\"` for free tier)\n\nBut when using the short name `--model kimi-k2.5-free` without provider prefix, it **defaults to OpenCode** (which also has Kimi K2.5 available).\n\n---\n\n### 10. **Key File Locations Summary**\n\n| Component | File Path |\n|-----------|-----------|\n| Model resolution logic | `/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:1402-1508` |\n| Provider definitions | `/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:769-927` |\n| SDK initialization | `/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:1075-1175` |\n| CLI entry point | `/tmp/gh-issue-solver-1771068195706/js/src/index.js:156-240` |\n| Kilo documentation | `/tmp/gh-issue-solver-1771068195706/docs/kilo.md` |\n| Case study (issue #169) | `/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/analysis.md` |\n\nThis architecture provides:\n1. **Short name convenience**: Users can say `--model kimi-k2.5-free` without knowing which provider to use\n2. **Provider preference**: Smart routing prioritizes OpenCode for shared models, Kilo for unique models\n3. **Explicit control**: Users can specify `--model opencode/kimi-k2.5-free` or `--model kilo/kimi-k2.5-free` to override\n4. **Flexible scaling**: New providers and models can be added by updating the database definitions" | |
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| "prompt": "I need to understand how the agent resolves `--model kimi-k2.5-free` to an actual API endpoint. Search through the codebase at /tmp/gh-issue-solver-1771068195706 for:\n\n1. Provider configuration - how models are configured and resolved\n2. The \"opencode\" provider specifically - how it maps model names to API endpoints\n3. The \"kilo\" provider or any reference to \"kilo.ai\" or \"api.kilo.ai\"\n4. How `kimi-k2.5-free` is resolved to an actual API call\n5. The full provider chain: what code decides which base URL and API key to use\n\nSearch in directories like js/src/provider/, js/src/config/, or anywhere relevant. Read the key files. Provide the full picture of:\n- Which files contain model/provider resolution\n- What the actual model ID mapping looks like (e.g. `kimi-k2.5-free` → what?)\n- What base URL gets used\n- Whether Kilo AI Gateway is involved or not\n\nBe thorough and quote the relevant code sections.", | |
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| "text": "Perfect! I now have a comprehensive understanding. Let me create a final report with all the details:\n\n## Complete Resolution Chain: `--model kimi-k2.5-free` to API Endpoint\n\nBased on my thorough search of the codebase, here's the complete picture of how `--model kimi-k2.5-free` is resolved to an actual API endpoint:\n\n---\n\n### 1. **Model Resolution Entry Point** (`/tmp/gh-issue-solver-1771068195706/js/src/index.js:156-240`)\n\nWhen you run `agent --model kimi-k2.5-free`, the CLI parses this through `parseModelConfig()`:\n\n```typescript\nasync function parseModelConfig(argv) {\n const modelArg = argv.model; // \"kimi-k2.5-free\"\n \n // Check if model includes explicit provider prefix\n if (modelArg.includes('/')) {\n // Explicit provider specified (e.g., \"kilo/kimi-k2.5-free\")\n const modelParts = modelArg.split('/');\n providerID = modelParts[0];\n modelID = modelParts.slice(1).join('/');\n } else {\n // Short model name - resolve to appropriate provider\n const { Provider } = await import('./provider/provider.ts');\n const resolved = await Provider.parseModelWithResolution(modelArg);\n providerID = resolved.providerID;\n modelID = resolved.modelID;\n }\n \n return { providerID, modelID };\n}\n```\n\nFor `kimi-k2.5-free` (no slash), it calls **`parseModelWithResolution()`**.\n\n---\n\n### 2. **Model Resolution Logic** (`/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:1484-1508`)\n\n```typescript\nexport async function parseModelWithResolution(\n model: string\n): Promise<{ providerID: string; modelID: string }> {\n // Check if model includes a provider prefix\n if (model.includes('/')) {\n // Explicit provider specified - use it directly\n return parseModel(model);\n }\n\n // No provider prefix - try to resolve the short model name\n const resolved = await resolveShortModelName(model);\n if (resolved) {\n return resolved;\n }\n\n // Unable to resolve - fall back to default behavior (opencode provider)\n return {\n providerID: 'opencode',\n modelID: model,\n };\n}\n```\n\nThis calls **`resolveShortModelName()`** for short names.\n\n---\n\n### 3. **Short Name Resolution** (`/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:1402-1470`)\n\n```typescript\nexport async function resolveShortModelName(\n modelID: string\n): Promise<{ providerID: string; modelID: string } | undefined> {\n const s = await state();\n\n // Define model-to-provider mappings for free models\n // Models unique to Kilo (GLM models from Z.AI are only free on Kilo)\n const kiloUniqueModels = [\n 'glm-5-free',\n 'glm-4.7-free',\n 'giga-potato-free',\n 'trinity-large-preview',\n ];\n\n // Check if it's a Kilo-unique model\n if (kiloUniqueModels.includes(modelID)) {\n const kiloProvider = s.providers['kilo'];\n if (kiloProvider && kiloProvider.info.models[modelID]) {\n return { providerID: 'kilo', modelID };\n }\n }\n\n // Check if model exists in any provider\n const matchingProviders: string[] = [];\n for (const [providerID, provider] of Object.entries(s.providers)) {\n if (provider.info.models[modelID]) {\n matchingProviders.push(providerID);\n }\n }\n\n if (matchingProviders.length === 0) {\n return undefined;\n }\n\n if (matchingProviders.length === 1) {\n return { providerID: matchingProviders[0], modelID };\n }\n\n // Multiple providers have this model - prefer OpenCode for shared free models\n // This follows the convention that opencode is the primary free provider\n if (matchingProviders.includes('opencode')) {\n return { providerID: 'opencode', modelID };\n }\n\n // Fallback to first matching provider\n return { providerID: matchingProviders[0], modelID };\n}\n```\n\n**For `kimi-k2.5-free`:**\n- It's NOT in `kiloUniqueModels` (those are GLM variants)\n- `kimi-k2.5-free` exists in **both** `opencode` and `kilo` providers\n- Since `matchingProviders.includes('opencode')` is true, it returns: **`{ providerID: 'opencode', modelID: 'kimi-k2.5-free' }`**\n\n---\n\n### 4. **Provider Configuration** (`/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:769-927`)\n\nThe Kilo provider is defined in the provider state initialization:\n\n```typescript\ndatabase['kilo'] = {\n id: 'kilo',\n name: 'Kilo Gateway',\n npm: '@ai-sdk/openai-compatible',\n api: 'https://api.kilo.ai/api/gateway',\n env: ['KILO_API_KEY'],\n models: {\n 'kimi-k2.5-free': {\n id: 'moonshot/kimi-k2.5:free', // <-- Actual model ID sent to API\n name: 'Kimi K2.5 (Free)',\n release_date: '2025-12-01',\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 131072,\n output: 65536,\n },\n // ... other properties\n },\n // Other free models...\n },\n};\n```\n\nSimilarly, OpenCode would have its own mapping:\n```typescript\n// OpenCode provider definition (from models.dev)\nmodels: {\n 'kimi-k2.5-free': {\n id: 'moonshot/kimi-k2.5:free', // Same actual model ID\n // ... properties\n },\n // ...\n}\n```\n\n---\n\n### 5. **Model ID Mapping** (`/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:1218-1230`)\n\nWhen getting the actual model, the system looks up the **real ID**:\n\n```typescript\n// For regular providers, load the SDK first\nconst sdk = await getSDK(provider.info, info!);\nconst keyReal = `${providerID}/${modelID}`;\nconst realID = s.realIdByKey.get(keyReal) ?? (info ? info.id : modelID);\n\nlanguage = provider.getModel\n ? await provider.getModel(sdk, realID, provider.options)\n : sdk.languageModel(realID);\n```\n\nSo for `opencode/kimi-k2.5-free`:\n- `keyReal = \"opencode/kimi-k2.5-free\"`\n- `realID = info.id = \"moonshot/kimi-k2.5:free\"`\n- This **real ID** is passed to the SDK\n\n---\n\n### 6. **SDK Initialization & API Endpoint** (`/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:1075-1175`)\n\nThe provider info (which includes the API endpoint) is merged into SDK options:\n\n```typescript\nasync function getSDK(provider: ModelsDev.Provider, model: ModelsDev.Model) {\n const s = await state();\n const pkg = model.provider?.npm ?? provider.npm ?? provider.id;\n const options = { ...s.providers[provider.id]?.options };\n \n // For Kilo provider:\n // pkg = '@ai-sdk/openai-compatible'\n // options includes baseURL from provider.info.api\n \n const fn = mod[Object.keys(mod).find((key) => key.startsWith('create'))!];\n const loaded = fn({\n name: provider.id,\n ...options, // This includes baseURL, apiKey, etc.\n });\n \n return loaded as SDK;\n}\n```\n\n---\n\n### 7. **Provider Info Merging** (`/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:652-678`)\n\nThe provider's API endpoint is set from the provider definition:\n\n```typescript\nfunction mergeProvider(\n id: string,\n options: Record<string, any>,\n source: Source,\n getModel?: ...\n) {\n const provider = providers[id];\n if (!provider) {\n const info = database[id];\n if (!info) return;\n if (info.api && !options['baseURL']) options['baseURL'] = info.api; // <-- KEY LINE\n providers[id] = {\n source,\n info,\n options,\n getModel,\n };\n }\n}\n```\n\nFor the **Kilo provider**, `info.api = 'https://api.kilo.ai/api/gateway'`\n\nFor the **OpenCode provider** (from models.dev), it would have its own API endpoint.\n\n---\n\n### 8. **Actual Resolution Chain for `--model kimi-k2.5-free`**\n\n```\nUser Input: --model kimi-k2.5-free\n ↓\nparseModelConfig() detects no \"/\" → calls parseModelWithResolution()\n ↓\nresolveShortModelName('kimi-k2.5-free')\n ↓\nChecks providers: Found in BOTH 'opencode' AND 'kilo'\n ↓\nPrefers 'opencode' (line 1452)\n ↓\nReturns { providerID: 'opencode', modelID: 'kimi-k2.5-free' }\n ↓\ngetModel('opencode', 'kimi-k2.5-free')\n ↓\nLooks up model info in database['opencode'].models['kimi-k2.5-free']\n ↓\nGets realID = 'moonshot/kimi-k2.5:free' (from model.id)\n ↓\nCreates SDK from '@ai-sdk/openai-compatible'\n ↓\nPasses baseURL and apiKey from opencode provider options\n ↓\nSDK makes request to: [opencode's baseURL] with model: 'moonshot/kimi-k2.5:free'\n```\n\n---\n\n### 9. **Important Note About Kilo Gateway**\n\n**Kilo AI Gateway IS involved** when you want to use it explicitly:\n\n```bash\nagent --model kilo/kimi-k2.5-free\n```\n\nThis would return `{ providerID: 'kilo', modelID: 'kimi-k2.5-free' }` and use:\n- **SDK**: `@ai-sdk/openai-compatible`\n- **Base URL**: `https://api.kilo.ai/api/gateway`\n- **Model ID**: `moonshot/kimi-k2.5:free`\n- **API Key**: From `KILO_API_KEY` environment variable (or `\"public\"` for free tier)\n\nBut when using the short name `--model kimi-k2.5-free` without provider prefix, it **defaults to OpenCode** (which also has Kimi K2.5 available).\n\n---\n\n### 10. **Key File Locations Summary**\n\n| Component | File Path |\n|-----------|-----------|\n| Model resolution logic | `/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:1402-1508` |\n| Provider definitions | `/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:769-927` |\n| SDK initialization | `/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts:1075-1175` |\n| CLI entry point | `/tmp/gh-issue-solver-1771068195706/js/src/index.js:156-240` |\n| Kilo documentation | `/tmp/gh-issue-solver-1771068195706/docs/kilo.md` |\n| Case study (issue #169) | `/tmp/gh-issue-solver-1771068195706/docs/case-studies/issue-169/analysis.md` |\n\nThis architecture provides:\n1. **Short name convenience**: Users can say `--model kimi-k2.5-free` without knowing which provider to use\n2. **Provider preference**: Smart routing prioritizes OpenCode for shared models, Kilo for unique models\n3. **Explicit control**: Users can specify `--model opencode/kimi-k2.5-free` or `--model kilo/kimi-k2.5-free` to override\n4. **Flexible scaling**: New providers and models can be added by updating the database definitions" | |
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| "text": "Excellent! Now I have a clear picture. Let me look at the actual opencode provider configuration to understand the exact base URL used, and examine key provider files." | |
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| "content": " 1→import z from 'zod';\n 2→import path from 'path';\n 3→import { Config } from '../config/config';\n 4→import { mergeDeep, sortBy } from 'remeda';\n 5→import { NoSuchModelError, type LanguageModel, type Provider as SDK } from 'ai';\n 6→import { Log } from '../util/log';\n 7→import { BunProc } from '../bun';\n 8→import { ModelsDev } from './models';\n 9→import { NamedError } from '../util/error';\n 10→import { Auth } from '../auth';\n 11→import { ClaudeOAuth } from '../auth/claude-oauth';\n 12→import { AuthPlugins } from '../auth/plugins';\n 13→import { Instance } from '../project/instance';\n 14→import { Global } from '../global';\n 15→import { Flag } from '../flag/flag';\n 16→import { iife } from '../util/iife';\n 17→import { createEchoModel } from './echo';\n 18→import { createCacheModel } from './cache';\n 19→import { RetryFetch } from './retry-fetch';\n 20→\n 21→export namespace Provider {\n 22→ const log = Log.create({ service: 'provider' });\n 23→\n 24→ type CustomLoader = (provider: ModelsDev.Provider) => Promise<{\n 25→ autoload: boolean;\n 26→ getModel?: (\n 27→ sdk: any,\n 28→ modelID: string,\n 29→ options?: Record<string, any>\n 30→ ) => Promise<any>;\n 31→ options?: Record<string, any>;\n 32→ }>;\n 33→\n 34→ type Source = 'env' | 'config' | 'custom' | 'api';\n 35→\n 36→ const CUSTOM_LOADERS: Record<string, CustomLoader> = {\n 37→ async anthropic(input) {\n 38→ // Check if OAuth credentials are available via the auth plugin\n 39→ const auth = await Auth.get('anthropic');\n 40→ if (auth?.type === 'oauth') {\n 41→ log.info(() => ({ message: 'using anthropic oauth credentials' }));\n 42→ const loaderFn = await AuthPlugins.getLoader('anthropic');\n 43→ if (loaderFn) {\n 44→ const result = await loaderFn(() => Auth.get('anthropic'), input);\n 45→ if (result.fetch) {\n 46→ return {\n 47→ autoload: true,\n 48→ options: {\n 49→ apiKey: result.apiKey || '',\n 50→ fetch: result.fetch,\n 51→ headers: {\n 52→ 'anthropic-beta':\n 53→ 'oauth-2025-04-20,claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n 54→ },\n 55→ },\n 56→ };\n 57→ }\n 58→ }\n 59→ }\n 60→ // Default: API key auth\n 61→ return {\n 62→ autoload: false,\n 63→ options: {\n 64→ headers: {\n 65→ 'anthropic-beta':\n 66→ 'claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n 67→ },\n 68→ },\n 69→ };\n 70→ },\n 71→ async opencode(input) {\n 72→ const hasKey = await (async () => {\n 73→ if (input.env.some((item) => process.env[item])) return true;\n 74→ if (await Auth.get(input.id)) return true;\n 75→ return false;\n 76→ })();\n 77→\n 78→ if (!hasKey) {\n 79→ for (const [key, value] of Object.entries(input.models)) {\n 80→ if (value.cost.input === 0) continue;\n 81→ delete input.models[key];\n 82→ }\n 83→ }\n 84→\n 85→ return {\n 86→ autoload: Object.keys(input.models).length > 0,\n 87→ options: hasKey ? {} : { apiKey: 'public' },\n 88→ };\n 89→ },\n 90→ openai: async () => {\n 91→ return {\n 92→ autoload: false,\n 93→ async getModel(\n 94→ sdk: any,\n 95→ modelID: string,\n 96→ _options?: Record<string, any>\n 97→ ) {\n 98→ return sdk.responses(modelID);\n 99→ },\n 100→ options: {},\n 101→ };\n 102→ },\n 103→ azure: async () => {\n 104→ return {\n 105→ autoload: false,\n 106→ async getModel(\n 107→ sdk: any,\n 108→ modelID: string,\n 109→ options?: Record<string, any>\n 110→ ) {\n 111→ if (options?.['useCompletionUrls']) {\n 112→ return sdk.chat(modelID);\n 113→ } else {\n 114→ return sdk.responses(modelID);\n 115→ }\n 116→ },\n 117→ options: {},\n 118→ };\n 119→ },\n 120→ 'azure-cognitive-services': async () => {\n 121→ const resourceName =\n 122→ process.env['AZURE_COGNITIVE_SERVICES_RESOURCE_NAME'];\n 123→ return {\n 124→ autoload: false,\n 125→ async getModel(\n 126→ sdk: any,\n 127→ modelID: string,\n 128→ options?: Record<string, any>\n 129→ ) {\n 130→ if (options?.['useCompletionUrls']) {\n 131→ return sdk.chat(modelID);\n 132→ } else {\n 133→ return sdk.responses(modelID);\n 134→ }\n 135→ },\n 136→ options: {\n 137→ baseURL: resourceName\n 138→ ? `https://${resourceName}.cognitiveservices.azure.com/openai`\n 139→ : undefined,\n 140→ },\n 141→ };\n 142→ },\n 143→ 'amazon-bedrock': async () => {\n 144→ if (\n 145→ !process.env['AWS_PROFILE'] &&\n 146→ !process.env['AWS_ACCESS_KEY_ID'] &&\n 147→ !process.env['AWS_BEARER_TOKEN_BEDROCK']\n 148→ )\n 149→ return { autoload: false };\n 150→\n 151→ const region = process.env['AWS_REGION'] ?? 'us-east-1';\n 152→\n 153→ const { fromNodeProviderChain } = await import(\n 154→ await BunProc.install('@aws-sdk/credential-providers')\n 155→ );\n 156→ return {\n 157→ autoload: true,\n 158→ options: {\n 159→ region,\n 160→ credentialProvider: fromNodeProviderChain(),\n 161→ },\n 162→ async getModel(\n 163→ sdk: any,\n 164→ modelID: string,\n 165→ _options?: Record<string, any>\n 166→ ) {\n 167→ let regionPrefix = region.split('-')[0];\n 168→\n 169→ switch (regionPrefix) {\n 170→ case 'us': {\n 171→ const modelRequiresPrefix = [\n 172→ 'nova-micro',\n 173→ 'nova-lite',\n 174→ 'nova-pro',\n 175→ 'nova-premier',\n 176→ 'claude',\n 177→ 'deepseek',\n 178→ ].some((m) => modelID.includes(m));\n 179→ const isGovCloud = region.startsWith('us-gov');\n 180→ if (modelRequiresPrefix && !isGovCloud) {\n 181→ modelID = `${regionPrefix}.${modelID}`;\n 182→ }\n 183→ break;\n 184→ }\n 185→ case 'eu': {\n 186→ const regionRequiresPrefix = [\n 187→ 'eu-west-1',\n 188→ 'eu-west-2',\n 189→ 'eu-west-3',\n 190→ 'eu-north-1',\n 191→ 'eu-central-1',\n 192→ 'eu-south-1',\n 193→ 'eu-south-2',\n 194→ ].some((r) => region.includes(r));\n 195→ const modelRequiresPrefix = [\n 196→ 'claude',\n 197→ 'nova-lite',\n 198→ 'nova-micro',\n 199→ 'llama3',\n 200→ 'pixtral',\n 201→ ].some((m) => modelID.includes(m));\n 202→ if (regionRequiresPrefix && modelRequiresPrefix) {\n 203→ modelID = `${regionPrefix}.${modelID}`;\n 204→ }\n 205→ break;\n 206→ }\n 207→ case 'ap': {\n 208→ const isAustraliaRegion = [\n 209→ 'ap-southeast-2',\n 210→ 'ap-southeast-4',\n 211→ ].includes(region);\n 212→ if (\n 213→ isAustraliaRegion &&\n 214→ ['anthropic.claude-sonnet-4-5', 'anthropic.claude-haiku'].some(\n 215→ (m) => modelID.includes(m)\n 216→ )\n 217→ ) {\n 218→ regionPrefix = 'au';\n 219→ modelID = `${regionPrefix}.${modelID}`;\n 220→ } else {\n 221→ const modelRequiresPrefix = [\n 222→ 'claude',\n 223→ 'nova-lite',\n 224→ 'nova-micro',\n 225→ 'nova-pro',\n 226→ ].some((m) => modelID.includes(m));\n 227→ if (modelRequiresPrefix) {\n 228→ regionPrefix = 'apac';\n 229→ modelID = `${regionPrefix}.${modelID}`;\n 230→ }\n 231→ }\n 232→ break;\n 233→ }\n 234→ }\n 235→\n 236→ return sdk.languageModel(modelID);\n 237→ },\n 238→ };\n 239→ },\n 240→ openrouter: async () => {\n 241→ return {\n 242→ autoload: false,\n 243→ options: {\n 244→ headers: {\n 245→ 'HTTP-Referer': 'https://opencode.ai/',\n 246→ 'X-Title': 'opencode',\n 247→ },\n 248→ },\n 249→ };\n 250→ },\n 251→ vercel: async () => {\n 252→ return {\n 253→ autoload: false,\n 254→ options: {\n 255→ headers: {\n 256→ 'http-referer': 'https://opencode.ai/',\n 257→ 'x-title': 'opencode',\n 258→ },\n 259→ },\n 260→ };\n 261→ },\n 262→ 'google-vertex': async () => {\n 263→ const project =\n 264→ process.env['GOOGLE_CLOUD_PROJECT'] ??\n 265→ process.env['GCP_PROJECT'] ??\n 266→ process.env['GCLOUD_PROJECT'];\n 267→ const location =\n 268→ process.env['GOOGLE_CLOUD_LOCATION'] ??\n 269→ process.env['VERTEX_LOCATION'] ??\n 270→ 'us-east5';\n 271→ const autoload = Boolean(project);\n 272→ if (!autoload) return { autoload: false };\n 273→ return {\n 274→ autoload: true,\n 275→ options: {\n 276→ project,\n 277→ location,\n 278→ },\n 279→ async getModel(sdk: any, modelID: string) {\n 280→ const id = String(modelID).trim();\n 281→ return sdk.languageModel(id);\n 282→ },\n 283→ };\n 284→ },\n 285→ 'google-vertex-anthropic': async () => {\n 286→ const project =\n 287→ process.env['GOOGLE_CLOUD_PROJECT'] ??\n 288→ process.env['GCP_PROJECT'] ??\n 289→ process.env['GCLOUD_PROJECT'];\n 290→ const location =\n 291→ process.env['GOOGLE_CLOUD_LOCATION'] ??\n 292→ process.env['VERTEX_LOCATION'] ??\n 293→ 'global';\n 294→ const autoload = Boolean(project);\n 295→ if (!autoload) return { autoload: false };\n 296→ return {\n 297→ autoload: true,\n 298→ options: {\n 299→ project,\n 300→ location,\n 301→ },\n 302→ async getModel(sdk: any, modelID: string) {\n 303→ const id = String(modelID).trim();\n 304→ return sdk.languageModel(id);\n 305→ },\n 306→ };\n 307→ },\n 308→ zenmux: async () => {\n 309→ return {\n 310→ autoload: false,\n 311→ options: {\n 312→ headers: {\n 313→ 'HTTP-Referer': 'https://opencode.ai/',\n 314→ 'X-Title': 'opencode',\n 315→ },\n 316→ },\n 317→ };\n 318→ },\n 319→ groq: async () => {\n 320→ return {\n 321→ autoload: false,\n 322→ options: {},\n 323→ };\n 324→ },\n 325→ /**\n 326→ * Kilo provider - access to 500+ AI models through Kilo Gateway\n 327→ * Uses OpenAI-compatible API at https://api.kilo.ai/api/gateway\n 328→ *\n 329→ * Free models available without API key (using 'public' key):\n 330→ * - GLM-5 (z-ai/glm-5) - Free limited time, flagship Z.AI model\n 331→ * - GLM 4.7 (z-ai/glm-4.7:free) - Free, agent-centric model\n 332→ * - Kimi K2.5 (moonshot/kimi-k2.5:free) - Free, agentic capabilities\n 333→ * - MiniMax M2.1 (minimax/m2.1:free) - Free, general-purpose\n 334→ * - Giga Potato (giga-potato:free) - Free evaluation model\n 335→ *\n 336→ * For paid models, set KILO_API_KEY environment variable\n 337→ *\n 338→ * @see https://kilo.ai/docs/gateway\n 339→ * @see https://kilo.ai/docs/advanced-usage/free-and-budget-models\n 340→ */\n 341→ kilo: async (input) => {\n 342→ const hasKey = await (async () => {\n 343→ if (input.env.some((item) => process.env[item])) return true;\n 344→ if (await Auth.get(input.id)) return true;\n 345→ return false;\n 346→ })();\n 347→\n 348→ // For free models, we can use 'public' as the API key\n 349→ // For paid models, user needs to set KILO_API_KEY\n 350→ if (!hasKey) {\n 351→ for (const [key, value] of Object.entries(input.models)) {\n 352→ // Keep only free models (cost.input === 0) when no API key\n 353→ if (value.cost.input === 0) continue;\n 354→ delete input.models[key];\n 355→ }\n 356→ }\n 357→\n 358→ return {\n 359→ autoload: Object.keys(input.models).length > 0,\n 360→ options: hasKey\n 361→ ? {}\n 362→ : {\n 363→ apiKey: 'public',\n 364→ },\n 365→ };\n 366→ },\n 367→ /**\n 368→ * Qwen Coder OAuth provider for Qwen subscription users\n 369→ * Uses OAuth credentials from agent auth login (Qwen Coder Subscription)\n 370→ *\n 371→ * To authenticate, run: agent auth login (select Qwen Coder)\n 372→ */\n 373→ 'qwen-coder': async (input) => {\n 374→ const auth = await Auth.get('qwen-coder');\n 375→ if (auth?.type === 'oauth') {\n 376→ log.info(() => ({\n 377→ message: 'using qwen-coder oauth credentials',\n 378→ }));\n 379→ const loaderFn = await AuthPlugins.getLoader('qwen-coder');\n 380→ if (loaderFn) {\n 381→ const result = await loaderFn(() => Auth.get('qwen-coder'), input);\n 382→ if (result.fetch) {\n 383→ return {\n 384→ autoload: true,\n 385→ options: {\n 386→ apiKey: result.apiKey || '',\n 387→ baseURL: result.baseURL,\n 388→ fetch: result.fetch,\n 389→ },\n 390→ };\n 391→ }\n 392→ }\n 393→ }\n 394→ // Default: not auto-loaded without OAuth\n 395→ return { autoload: false };\n 396→ },\n 397→ /**\n 398→ * Alibaba OAuth provider (alias for Qwen Coder)\n 399→ * Uses OAuth credentials from agent auth login (Alibaba / Qwen Coder Subscription)\n 400→ *\n 401→ * To authenticate, run: agent auth login (select Alibaba)\n 402→ */\n 403→ alibaba: async (input) => {\n 404→ const auth = await Auth.get('alibaba');\n 405→ if (auth?.type === 'oauth') {\n 406→ log.info(() => ({\n 407→ message: 'using alibaba oauth credentials',\n 408→ }));\n 409→ const loaderFn = await AuthPlugins.getLoader('alibaba');\n 410→ if (loaderFn) {\n 411→ const result = await loaderFn(() => Auth.get('alibaba'), input);\n 412→ if (result.fetch) {\n 413→ return {\n 414→ autoload: true,\n 415→ options: {\n 416→ apiKey: result.apiKey || '',\n 417→ baseURL: result.baseURL,\n 418→ fetch: result.fetch,\n 419→ },\n 420→ };\n 421→ }\n 422→ }\n 423→ }\n 424→ // Default: not auto-loaded without OAuth\n 425→ return { autoload: false };\n 426→ },\n 427→ /**\n 428→ * Google OAuth provider for Gemini subscription users\n 429→ * Uses OAuth credentials from agent auth login (Google AI Pro/Ultra)\n 430→ *\n 431→ * To authenticate, run: agent auth google\n 432→ */\n 433→ google: async (input) => {\n 434→ const auth = await Auth.get('google');\n 435→ if (auth?.type === 'oauth') {\n 436→ log.info(() => ({ message: 'using google oauth credentials' }));\n 437→ const loaderFn = await AuthPlugins.getLoader('google');\n 438→ if (loaderFn) {\n 439→ const result = await loaderFn(() => Auth.get('google'), input);\n 440→ if (result.fetch) {\n 441→ return {\n 442→ autoload: true,\n 443→ options: {\n 444→ apiKey: result.apiKey || '',\n 445→ fetch: result.fetch,\n 446→ },\n 447→ };\n 448→ }\n 449→ }\n 450→ }\n 451→ // Default: API key auth (no OAuth credentials found)\n 452→ return { autoload: false };\n 453→ },\n 454→ /**\n 455→ * GitHub Copilot OAuth provider\n 456→ * Uses OAuth credentials from agent auth login\n 457→ */\n 458→ 'github-copilot': async (input) => {\n 459→ const auth = await Auth.get('github-copilot');\n 460→ if (auth?.type === 'oauth') {\n 461→ log.info(() => ({\n 462→ message: 'using github copilot oauth credentials',\n 463→ }));\n 464→ const loaderFn = await AuthPlugins.getLoader('github-copilot');\n 465→ if (loaderFn) {\n 466→ const result = await loaderFn(\n 467→ () => Auth.get('github-copilot'),\n 468→ input\n 469→ );\n 470→ if (result.fetch) {\n 471→ return {\n 472→ autoload: true,\n 473→ options: {\n 474→ apiKey: result.apiKey || '',\n 475→ baseURL: result.baseURL,\n 476→ fetch: result.fetch,\n 477→ },\n 478→ };\n 479→ }\n 480→ }\n 481→ }\n 482→ return { autoload: false };\n 483→ },\n 484→ /**\n 485→ * GitHub Copilot Enterprise OAuth provider\n 486→ * Uses OAuth credentials from agent auth login with enterprise URL\n 487→ */\n 488→ 'github-copilot-enterprise': async (input) => {\n 489→ const auth = await Auth.get('github-copilot-enterprise');\n 490→ if (auth?.type === 'oauth') {\n 491→ log.info(() => ({\n 492→ message: 'using github copilot enterprise oauth credentials',\n 493→ }));\n 494→ const loaderFn = await AuthPlugins.getLoader('github-copilot');\n 495→ if (loaderFn) {\n 496→ const result = await loaderFn(\n 497→ () => Auth.get('github-copilot-enterprise'),\n 498→ input\n 499→ );\n 500→ if (result.fetch) {\n 501→ return {\n 502→ autoload: true,\n 503→ options: {\n 504→ apiKey: result.apiKey || '',\n 505→ baseURL: result.baseURL,\n 506→ fetch: result.fetch,\n 507→ },\n 508→ };\n 509→ }\n 510→ }\n 511→ }\n 512→ return { autoload: false };\n 513→ },\n 514→ /**\n 515→ * Claude OAuth provider - uses Claude OAuth credentials to access\n 516→ * Anthropic models via the Claude API.\n 517→ *\n 518→ * This provider supports two methods:\n 519→ * 1. Environment variable: CLAUDE_CODE_OAUTH_TOKEN\n 520→ * 2. Credentials file: ~/.claude/.credentials.json (from Claude Code CLI or our auth command)\n 521→ *\n 522→ * OAuth tokens use Bearer authentication (Authorization header)\n 523→ * instead of x-api-key authentication used by standard API keys.\n 524→ *\n 525→ * To authenticate, run: agent auth claude\n 526→ */\n 527→ 'claude-oauth': async (input) => {\n 528→ // Check for OAuth token from environment variable first\n 529→ let oauthToken = process.env['CLAUDE_CODE_OAUTH_TOKEN'];\n 530→ let tokenSource = 'environment';\n 531→\n 532→ if (!oauthToken) {\n 533→ // Check for OAuth credentials from credentials file\n 534→ const claudeCreds = await ClaudeOAuth.getCredentials();\n 535→ if (claudeCreds) {\n 536→ oauthToken = claudeCreds.accessToken;\n 537→ tokenSource = `credentials file (${claudeCreds.subscriptionType ?? 'unknown'})`;\n 538→ }\n 539→ }\n 540→\n 541→ if (!oauthToken) {\n 542→ return { autoload: false };\n 543→ }\n 544→\n 545→ log.info(() => ({\n 546→ message: 'using claude oauth credentials',\n 547→ source: tokenSource,\n 548→ }));\n 549→\n 550→ // Create authenticated fetch with Bearer token and OAuth beta header\n 551→ const customFetch = ClaudeOAuth.createAuthenticatedFetch(oauthToken);\n 552→\n 553→ return {\n 554→ autoload: true,\n 555→ options: {\n 556→ // Use a placeholder key to satisfy the SDK's API key requirement\n 557→ // The actual authentication is done via Bearer token in customFetch\n 558→ apiKey: 'oauth-token-placeholder',\n 559→ fetch: customFetch,\n 560→ headers: {\n 561→ 'anthropic-beta':\n 562→ 'oauth-2025-04-20,claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n 563→ },\n 564→ },\n 565→ };\n 566→ },\n 567→ /**\n 568→ * Echo provider - synthetic provider for dry-run testing\n 569→ * Echoes back the user's input without making actual API calls.\n 570→ *\n 571→ * This provider is automatically enabled when --dry-run mode is active.\n 572→ * It can also be used explicitly with: --model link-assistant/echo\n 573→ *\n 574→ * @see https://github.com/link-assistant/agent/issues/89\n 575→ */\n 576→ 'link-assistant': async () => {\n 577→ // Echo provider is always available - no external dependencies needed\n 578→ return {\n 579→ autoload: Flag.OPENCODE_DRY_RUN, // Auto-load only in dry-run mode\n 580→ async getModel(_sdk: any, modelID: string) {\n 581→ // Return our custom echo model that implements LanguageModelV1\n 582→ return createEchoModel(modelID);\n 583→ },\n 584→ options: {},\n 585→ };\n 586→ },\n 587→ /**\n 588→ * Cache provider - synthetic provider for caching API responses\n 589→ * Caches responses using links notation for deterministic testing.\n 590→ *\n 591→ * This provider caches API responses and falls back to echo behavior.\n 592→ * It can be used explicitly with: --model link-assistant/cache/opencode/grok-code\n 593→ *\n 594→ * @see https://github.com/link-assistant/agent/issues/89\n 595→ */\n 596→ 'link-assistant/cache': async () => {\n 597→ // Cache provider is always available - no external dependencies needed\n 598→ return {\n 599→ autoload: false, // Not auto-loaded\n 600→ async getModel(_sdk: any, modelID: string) {\n 601→ // modelID should be in format \"provider/model\" like \"opencode/grok-code\"\n 602→ const parts = modelID.split('/');\n 603→ if (parts.length < 2) {\n 604→ throw new Error(\n 605→ `Invalid cache model ID: ${modelID}. Expected format: provider/model`\n 606→ );\n 607→ }\n 608→ const [providerId, ...modelParts] = parts;\n 609→ const actualModelId = modelParts.join('/');\n 610→\n 611→ // Return our custom cache model that implements LanguageModelV1\n 612→ return createCacheModel(providerId, actualModelId);\n 613→ },\n 614→ options: {},\n 615→ };\n 616→ },\n 617→ };\n 618→\n 619→ const state = Instance.state(async () => {\n 620→ using _ = log.time('state');\n 621→ const config = await Config.get();\n 622→ const database = await ModelsDev.get();\n 623→\n 624→ const providers: {\n 625→ [providerID: string]: {\n 626→ source: Source;\n 627→ info: ModelsDev.Provider;\n 628→ getModel?: (\n 629→ sdk: any,\n 630→ modelID: string,\n 631→ options?: Record<string, any>\n 632→ ) => Promise<any>;\n 633→ options: Record<string, any>;\n 634→ };\n 635→ } = {};\n 636→ const models = new Map<\n 637→ string,\n 638→ {\n 639→ providerID: string;\n 640→ modelID: string;\n 641→ info: ModelsDev.Model;\n 642→ language: LanguageModel;\n 643→ npm?: string;\n 644→ }\n 645→ >();\n 646→ const sdk = new Map<number, SDK>();\n 647→ // Maps `${provider}/${key}` to the provider’s actual model ID for custom aliases.\n 648→ const realIdByKey = new Map<string, string>();\n 649→\n 650→ log.info(() => ({ message: 'init' }));\n 651→\n 652→ function mergeProvider(\n 653→ id: string,\n 654→ options: Record<string, any>,\n 655→ source: Source,\n 656→ getModel?: (\n 657→ sdk: any,\n 658→ modelID: string,\n 659→ options?: Record<string, any>\n 660→ ) => Promise<any>\n 661→ ) {\n 662→ const provider = providers[id];\n 663→ if (!provider) {\n 664→ const info = database[id];\n 665→ if (!info) return;\n 666→ if (info.api && !options['baseURL']) options['baseURL'] = info.api;\n 667→ providers[id] = {\n 668→ source,\n 669→ info,\n 670→ options,\n 671→ getModel,\n 672→ };\n 673→ return;\n 674→ }\n 675→ provider.options = mergeDeep(provider.options, options);\n 676→ provider.source = source;\n 677→ provider.getModel = getModel ?? provider.getModel;\n 678→ }\n 679→\n 680→ const configProviders = Object.entries(config.provider ?? {});\n 681→\n 682→ // Add GitHub Copilot Enterprise provider that inherits from GitHub Copilot\n 683→ if (database['github-copilot']) {\n 684→ const githubCopilot = database['github-copilot'];\n 685→ database['github-copilot-enterprise'] = {\n 686→ ...githubCopilot,\n 687→ id: 'github-copilot-enterprise',\n 688→ name: 'GitHub Copilot Enterprise',\n 689→ // Enterprise uses a different API endpoint - will be set dynamically based on auth\n 690→ api: undefined,\n 691→ };\n 692→ }\n 693→\n 694→ // Add Claude OAuth provider that inherits from Anthropic\n 695→ // This allows using Claude Code CLI OAuth credentials with the Anthropic API\n 696→ if (database['anthropic']) {\n 697→ const anthropic = database['anthropic'];\n 698→ database['claude-oauth'] = {\n 699→ ...anthropic,\n 700→ id: 'claude-oauth',\n 701→ name: 'Claude OAuth',\n 702→ // Use CLAUDE_CODE_OAUTH_TOKEN environment variable\n 703→ env: ['CLAUDE_CODE_OAUTH_TOKEN'],\n 704→ };\n 705→ }\n 706→\n 707→ // Add gemini-3-pro alias for google provider\n 708→ // The actual model in Google's API is gemini-3-pro-preview, but we add gemini-3-pro as an alias for convenience\n 709→ if (database['google']?.models['gemini-3-pro-preview']) {\n 710→ const gemini3ProPreview =\n 711→ database['google'].models['gemini-3-pro-preview'];\n 712→ database['google'].models['gemini-3-pro'] = {\n 713→ ...gemini3ProPreview,\n 714→ id: 'gemini-3-pro-preview',\n 715→ name: 'Gemini 3 Pro',\n 716→ };\n 717→ realIdByKey.set('google/gemini-3-pro', 'gemini-3-pro-preview');\n 718→ }\n 719→\n 720→ // Add link-assistant echo provider for dry-run testing\n 721→ // This synthetic provider echoes back user input without API calls\n 722→ // @see https://github.com/link-assistant/agent/issues/89\n 723→ database['link-assistant'] = {\n 724→ id: 'link-assistant',\n 725→ name: 'Link Assistant (Echo)',\n 726→ env: [], // No environment variables needed - synthetic provider\n 727→ models: {\n 728→ echo: {\n 729→ id: 'echo',\n 730→ name: 'Echo Model',\n 731→ release_date: '2024-01-01',\n 732→ attachment: false,\n 733→ reasoning: false,\n 734→ temperature: false,\n 735→ tool_call: true,\n 736→ cost: {\n 737→ input: 0,\n 738→ output: 0,\n 739→ cache_read: 0,\n 740→ cache_write: 0,\n 741→ },\n 742→ limit: {\n 743→ context: 1000000, // Virtually unlimited\n 744→ output: 100000,\n 745→ },\n 746→ modalities: {\n 747→ input: ['text'],\n 748→ output: ['text'],\n 749→ },\n 750→ options: {},\n 751→ },\n 752→ },\n 753→ };\n 754→\n 755→ // Add link-assistant/cache provider for caching API responses\n 756→ // This synthetic provider caches responses and falls back to echo\n 757→ // @see https://github.com/link-assistant/agent/issues/89\n 758→ database['link-assistant/cache'] = {\n 759→ id: 'link-assistant/cache',\n 760→ name: 'Link Assistant (Cache)',\n 761→ env: [], // No environment variables needed - synthetic provider\n 762→ models: {}, // Models are dynamically created based on the provider/model syntax\n 763→ };\n 764→\n 765→ // Add Kilo provider for access to 500+ AI models through Kilo Gateway\n 766→ // Free models available: GLM-5, GLM 4.7, Kimi K2.5, MiniMax M2.1, Giga Potato\n 767→ // @see https://kilo.ai/docs/gateway\n 768→ // @see https://github.com/link-assistant/agent/issues/159\n 769→ database['kilo'] = {\n 770→ id: 'kilo',\n 771→ name: 'Kilo Gateway',\n 772→ npm: '@ai-sdk/openai-compatible',\n 773→ api: 'https://api.kilo.ai/api/gateway',\n 774→ env: ['KILO_API_KEY'],\n 775→ models: {\n 776→ // GLM-5 - Flagship Z.AI model, free for limited time\n 777→ 'glm-5-free': {\n 778→ id: 'z-ai/glm-5',\n 779→ name: 'GLM-5 (Free)',\n 780→ release_date: '2026-02-11',\n 781→ attachment: false,\n 782→ reasoning: true,\n 783→ temperature: true,\n 784→ tool_call: true,\n 785→ cost: {\n 786→ input: 0,\n 787→ output: 0,\n 788→ cache_read: 0,\n 789→ cache_write: 0,\n 790→ },\n 791→ limit: {\n 792→ context: 202752,\n 793→ output: 131072,\n 794→ },\n 795→ modalities: {\n 796→ input: ['text'],\n 797→ output: ['text'],\n 798→ },\n 799→ options: {},\n 800→ },\n 801→ // GLM 4.7 - Agent-centric model, free\n 802→ 'glm-4.7-free': {\n 803→ id: 'z-ai/glm-4.7:free',\n 804→ name: 'GLM 4.7 (Free)',\n 805→ release_date: '2026-01-15',\n 806→ attachment: false,\n 807→ reasoning: true,\n 808→ temperature: true,\n 809→ tool_call: true,\n 810→ cost: {\n 811→ input: 0,\n 812→ output: 0,\n 813→ cache_read: 0,\n 814→ cache_write: 0,\n 815→ },\n 816→ limit: {\n 817→ context: 131072,\n 818→ output: 65536,\n 819→ },\n 820→ modalities: {\n 821→ input: ['text'],\n 822→ output: ['text'],\n 823→ },\n 824→ options: {},\n 825→ },\n 826→ // Kimi K2.5 - Agentic capabilities, free\n 827→ 'kimi-k2.5-free': {\n 828→ id: 'moonshot/kimi-k2.5:free',\n 829→ name: 'Kimi K2.5 (Free)',\n 830→ release_date: '2025-12-01',\n 831→ attachment: false,\n 832→ reasoning: false,\n 833→ temperature: true,\n 834→ tool_call: true,\n 835→ cost: {\n 836→ input: 0,\n 837→ output: 0,\n 838→ cache_read: 0,\n 839→ cache_write: 0,\n 840→ },\n 841→ limit: {\n 842→ context: 131072,\n 843→ output: 65536,\n 844→ },\n 845→ modalities: {\n 846→ input: ['text'],\n 847→ output: ['text'],\n 848→ },\n 849→ options: {},\n 850→ },\n 851→ // MiniMax M2.1 - General-purpose, free\n 852→ 'minimax-m2.1-free': {\n 853→ id: 'minimax/m2.1:free',\n 854→ name: 'MiniMax M2.1 (Free)',\n 855→ release_date: '2025-11-01',\n 856→ attachment: false,\n 857→ reasoning: false,\n 858→ temperature: true,\n 859→ tool_call: true,\n 860→ cost: {\n 861→ input: 0,\n 862→ output: 0,\n 863→ cache_read: 0,\n 864→ cache_write: 0,\n 865→ },\n 866→ limit: {\n 867→ context: 131072,\n 868→ output: 65536,\n 869→ },\n 870→ modalities: {\n 871→ input: ['text'],\n 872→ output: ['text'],\n 873→ },\n 874→ options: {},\n 875→ },\n 876→ // Giga Potato - Free evaluation model\n 877→ 'giga-potato-free': {\n 878→ id: 'giga-potato:free',\n 879→ name: 'Giga Potato (Free)',\n 880→ release_date: '2026-01-01',\n 881→ attachment: false,\n 882→ reasoning: false,\n 883→ temperature: true,\n 884→ tool_call: true,\n 885→ cost: {\n 886→ input: 0,\n 887→ output: 0,\n 888→ cache_read: 0,\n 889→ cache_write: 0,\n 890→ },\n 891→ limit: {\n 892→ context: 65536,\n 893→ output: 32768,\n 894→ },\n 895→ modalities: {\n 896→ input: ['text'],\n 897→ output: ['text'],\n 898→ },\n 899→ options: {},\n 900→ },\n 901→ // Trinity Large Preview - Preview model from Arcee AI\n 902→ 'trinity-large-preview': {\n 903→ id: 'arcee/trinity-large-preview',\n 904→ name: 'Trinity Large Preview (Free)',\n 905→ release_date: '2026-01-01',\n 906→ attachment: false,\n 907→ reasoning: false,\n 908→ temperature: true,\n 909→ tool_call: true,\n 910→ cost: {\n 911→ input: 0,\n 912→ output: 0,\n 913→ cache_read: 0,\n 914→ cache_write: 0,\n 915→ },\n 916→ limit: {\n 917→ context: 65536,\n 918→ output: 32768,\n 919→ },\n 920→ modalities: {\n 921→ input: ['text'],\n 922→ output: ['text'],\n 923→ },\n 924→ options: {},\n 925→ },\n 926→ },\n 927→ };\n 928→\n 929→ for (const [providerID, provider] of configProviders) {\n 930→ const existing = database[providerID];\n 931→ const parsed: ModelsDev.Provider = {\n 932→ id: providerID,\n 933→ npm: provider.npm ?? existing?.npm,\n 934→ name: provider.name ?? existing?.name ?? providerID,\n 935→ env: provider.env ?? existing?.env ?? [],\n 936→ api: provider.api ?? existing?.api,\n 937→ models: existing?.models ?? {},\n 938→ };\n 939→\n 940→ for (const [modelID, model] of Object.entries(provider.models ?? {})) {\n 941→ const existing = parsed.models[model.id ?? modelID];\n 942→ const name = iife(() => {\n 943→ if (model.name) return model.name;\n 944→ if (model.id && model.id !== modelID) return modelID;\n 945→ return existing?.name ?? modelID;\n 946→ });\n 947→ const parsedModel: ModelsDev.Model = {\n 948→ id: modelID,\n 949→ name,\n 950→ release_date: model.release_date ?? existing?.release_date,\n 951→ attachment: model.attachment ?? existing?.attachment ?? false,\n 952→ reasoning: model.reasoning ?? existing?.reasoning ?? false,\n 953→ temperature: model.temperature ?? existing?.temperature ?? false,\n 954→ tool_call: model.tool_call ?? existing?.tool_call ?? true,\n 955→ cost:\n 956→ !model.cost && !existing?.cost\n 957→ ? {\n 958→ input: 0,\n 959→ output: 0,\n 960→ cache_read: 0,\n 961→ cache_write: 0,\n 962→ }\n 963→ : {\n 964→ cache_read: 0,\n 965→ cache_write: 0,\n 966→ ...existing?.cost,\n 967→ ...model.cost,\n 968→ },\n 969→ options: {\n 970→ ...existing?.options,\n 971→ ...model.options,\n 972→ },\n 973→ limit: model.limit ??\n 974→ existing?.limit ?? {\n 975→ context: 0,\n 976→ output: 0,\n 977→ },\n 978→ modalities: model.modalities ??\n 979→ existing?.modalities ?? {\n 980→ input: ['text'],\n 981→ output: ['text'],\n 982→ },\n 983→ headers: model.headers,\n 984→ provider: model.provider ?? existing?.provider,\n 985→ };\n 986→ if (model.id && model.id !== modelID) {\n 987→ realIdByKey.set(`${providerID}/${modelID}`, model.id);\n 988→ }\n 989→ parsed.models[modelID] = parsedModel;\n 990→ }\n 991→ database[providerID] = parsed;\n 992→ }\n 993→\n 994→ const disabled = await Config.get().then(\n 995→ (cfg) => new Set(cfg.disabled_providers ?? [])\n 996→ );\n 997→ // load env\n 998→ for (const [providerID, provider] of Object.entries(database)) {\n 999→ if (disabled.has(providerID)) continue;\n 1000→ // Find the first truthy env var (supports multiple env var options like Google's\n 1001→ // GOOGLE_GENERATIVE_AI_API_KEY and GEMINI_API_KEY)\n 1002→ const apiKey = provider.env\n 1003→ .map((item) => process.env[item])\n 1004→ .find(Boolean);\n 1005→ if (!apiKey) continue;\n 1006→ // Always pass the API key - the provider SDK needs it for authentication\n 1007→ mergeProvider(providerID, { apiKey }, 'env');\n 1008→ }\n 1009→\n 1010→ // load apikeys\n 1011→ for (const [providerID, provider] of Object.entries(await Auth.all())) {\n 1012→ if (disabled.has(providerID)) continue;\n 1013→ if (provider.type === 'api') {\n 1014→ mergeProvider(providerID, { apiKey: provider.key }, 'api');\n 1015→ }\n 1016→ }\n 1017→\n 1018→ // load custom\n 1019→ for (const [providerID, fn] of Object.entries(CUSTOM_LOADERS)) {\n 1020→ if (disabled.has(providerID)) continue;\n 1021→ const result = await fn(database[providerID]);\n 1022→ if (result && (result.autoload || providers[providerID])) {\n 1023→ mergeProvider(\n 1024→ providerID,\n 1025→ result.options ?? {},\n 1026→ 'custom',\n 1027→ result.getModel\n 1028→ );\n 1029→ }\n 1030→ }\n 1031→\n 1032→ // load config\n 1033→ for (const [providerID, provider] of configProviders) {\n 1034→ mergeProvider(providerID, provider.options ?? {}, 'config');\n 1035→ }\n 1036→\n 1037→ for (const [providerID, provider] of Object.entries(providers)) {\n 1038→ const filteredModels = Object.fromEntries(\n 1039→ Object.entries(provider.info.models)\n 1040→ // Filter out blacklisted models\n 1041→ .filter(\n 1042→ ([modelID]) =>\n 1043→ modelID !== 'gpt-5-chat-latest' &&\n 1044→ !(providerID === 'openrouter' && modelID === 'openai/gpt-5-chat')\n 1045→ )\n 1046→ // Filter out experimental models\n 1047→ .filter(\n 1048→ ([, model]) =>\n 1049→ ((!model.experimental && model.status !== 'alpha') ||\n 1050→ Flag.OPENCODE_ENABLE_EXPERIMENTAL_MODELS) &&\n 1051→ model.status !== 'deprecated'\n 1052→ )\n 1053→ );\n 1054→ provider.info.models = filteredModels;\n 1055→\n 1056→ if (Object.keys(provider.info.models).length === 0) {\n 1057→ delete providers[providerID];\n 1058→ continue;\n 1059→ }\n 1060→ log.info(() => ({ message: 'found', providerID }));\n 1061→ }\n 1062→\n 1063→ return {\n 1064→ models,\n 1065→ providers,\n 1066→ sdk,\n 1067→ realIdByKey,\n 1068→ };\n 1069→ });\n 1070→\n 1071→ export async function list() {\n 1072→ return state().then((state) => state.providers);\n 1073→ }\n 1074→\n 1075→ async function getSDK(provider: ModelsDev.Provider, model: ModelsDev.Model) {\n 1076→ return (async () => {\n 1077→ using _ = log.time('getSDK', {\n 1078→ providerID: provider.id,\n 1079→ });\n 1080→ const s = await state();\n 1081→ const pkg = model.provider?.npm ?? provider.npm ?? provider.id;\n 1082→ const options = { ...s.providers[provider.id]?.options };\n 1083→ if (\n 1084→ pkg.includes('@ai-sdk/openai-compatible') &&\n 1085→ options['includeUsage'] === undefined\n 1086→ ) {\n 1087→ options['includeUsage'] = true;\n 1088→ }\n 1089→ const key = Bun.hash.xxHash32(JSON.stringify({ pkg, options }));\n 1090→ const existing = s.sdk.get(key);\n 1091→ if (existing) return existing;\n 1092→\n 1093→ let installedPath: string;\n 1094→ if (!pkg.startsWith('file://')) {\n 1095→ log.info(() => ({\n 1096→ message: 'installing provider package',\n 1097→ providerID: provider.id,\n 1098→ pkg,\n 1099→ version: 'latest',\n 1100→ }));\n 1101→ installedPath = await BunProc.install(pkg, 'latest');\n 1102→ log.info(() => ({\n 1103→ message: 'provider package installed successfully',\n 1104→ providerID: provider.id,\n 1105→ pkg,\n 1106→ installedPath,\n 1107→ }));\n 1108→ } else {\n 1109→ log.info(() => ({ message: 'loading local provider', pkg }));\n 1110→ installedPath = pkg;\n 1111→ }\n 1112→\n 1113→ // The `google-vertex-anthropic` provider points to the `@ai-sdk/google-vertex` package.\n 1114→ // Ref: https://github.com/sst/models.dev/blob/0a87de42ab177bebad0620a889e2eb2b4a5dd4ab/providers/google-vertex-anthropic/provider.toml\n 1115→ // However, the actual export is at the subpath `@ai-sdk/google-vertex/anthropic`.\n 1116→ // Ref: https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex#google-vertex-anthropic-provider-usage\n 1117→ // In addition, Bun's dynamic import logic does not support subpath imports,\n 1118→ // so we patch the import path to load directly from `dist`.\n 1119→ const modPath =\n 1120→ provider.id === 'google-vertex-anthropic'\n 1121→ ? `${installedPath}/dist/anthropic/index.mjs`\n 1122→ : installedPath;\n 1123→ const mod = await import(modPath);\n 1124→ if (options['timeout'] !== undefined && options['timeout'] !== null) {\n 1125→ // Preserve custom fetch if it exists, wrap it with timeout logic\n 1126→ const customFetch = options['fetch'];\n 1127→ options['fetch'] = async (input: any, init?: BunFetchRequestInit) => {\n 1128→ const { signal, ...rest } = init ?? {};\n 1129→\n 1130→ const signals: AbortSignal[] = [];\n 1131→ if (signal) signals.push(signal);\n 1132→ if (options['timeout'] !== false)\n 1133→ signals.push(AbortSignal.timeout(options['timeout']));\n 1134→\n 1135→ const combined =\n 1136→ signals.length > 1 ? AbortSignal.any(signals) : signals[0];\n 1137→\n 1138→ const fetchFn = customFetch ?? fetch;\n 1139→ return fetchFn(input, {\n 1140→ ...rest,\n 1141→ signal: combined,\n 1142→ // @ts-ignore see here: https://github.com/oven-sh/bun/issues/16682\n 1143→ timeout: false,\n 1144→ });\n 1145→ };\n 1146→ }\n 1147→\n 1148→ // Wrap fetch with retry logic for rate limit handling (HTTP 429)\n 1149→ // This ensures the agent's time-based retry (7-week timeout) is respected\n 1150→ // instead of the AI SDK's fixed retry count (3 attempts)\n 1151→ // See: https://github.com/link-assistant/agent/issues/167\n 1152→ const existingFetch = options['fetch'] ?? fetch;\n 1153→ options['fetch'] = RetryFetch.wrap(existingFetch, {\n 1154→ sessionID: provider.id,\n 1155→ });\n 1156→\n 1157→ const fn = mod[Object.keys(mod).find((key) => key.startsWith('create'))!];\n 1158→ const loaded = fn({\n 1159→ name: provider.id,\n 1160→ ...options,\n 1161→ });\n 1162→ s.sdk.set(key, loaded);\n 1163→ return loaded as SDK;\n 1164→ })().catch((e) => {\n 1165→ log.error(() => ({\n 1166→ message: 'provider initialization failed',\n 1167→ providerID: provider.id,\n 1168→ pkg: model.provider?.npm ?? provider.npm ?? provider.id,\n 1169→ error: e instanceof Error ? e.message : String(e),\n 1170→ stack: e instanceof Error ? e.stack : undefined,\n 1171→ cause: e instanceof Error && e.cause ? String(e.cause) : undefined,\n 1172→ }));\n 1173→ throw new InitError({ providerID: provider.id }, { cause: e });\n 1174→ });\n 1175→ }\n 1176→\n 1177→ export async function getProvider(providerID: string) {\n 1178→ return state().then((s) => s.providers[providerID]);\n 1179→ }\n 1180→\n 1181→ export async function getModel(providerID: string, modelID: string) {\n 1182→ const key = `${providerID}/${modelID}`;\n 1183→ const s = await state();\n 1184→ if (s.models.has(key)) return s.models.get(key)!;\n 1185→\n 1186→ log.info(() => ({ message: 'getModel', providerID, modelID }));\n 1187→\n 1188→ const provider = s.providers[providerID];\n 1189→ if (!provider) {\n 1190→ // Check if this model ID might exist in another provider (e.g., OpenRouter)\n 1191→ // This helps users who use formats like \"z-ai/glm-4.7\" instead of \"openrouter/z-ai/glm-4.7\"\n 1192→ const fullModelKey = `${providerID}/${modelID}`;\n 1193→ let suggestion: string | undefined;\n 1194→\n 1195→ for (const [knownProviderID, knownProvider] of Object.entries(\n 1196→ s.providers\n 1197→ )) {\n 1198→ if (knownProvider.info.models[fullModelKey]) {\n 1199→ suggestion = `Did you mean: ${knownProviderID}/${fullModelKey}?`;\n 1200→ break;\n 1201→ }\n 1202→ }\n 1203→\n 1204→ throw new ModelNotFoundError({ providerID, modelID, suggestion });\n 1205→ }\n 1206→\n 1207→ // For synthetic providers (like link-assistant/echo and link-assistant/cache), skip SDK loading\n 1208→ // These providers have a custom getModel function that creates the model directly\n 1209→ const isSyntheticProvider =\n 1210→ providerID === 'link-assistant' || providerID === 'link-assistant/cache';\n 1211→\n 1212→ // For synthetic providers, we don't need model info from the database\n 1213→ const info = isSyntheticProvider ? null : provider.info.models[modelID];\n 1214→ if (!isSyntheticProvider && !info)\n 1215→ throw new ModelNotFoundError({ providerID, modelID });\n 1216→\n 1217→ try {\n 1218→ const keyReal = `${providerID}/${modelID}`;\n 1219→ const realID = s.realIdByKey.get(keyReal) ?? (info ? info.id : modelID);\n 1220→\n 1221→ let language: LanguageModel;\n 1222→ if (isSyntheticProvider && provider.getModel) {\n 1223→ // For synthetic providers, call getModel directly without SDK\n 1224→ language = await provider.getModel(null, realID, provider.options);\n 1225→ } else {\n 1226→ // For regular providers, load the SDK first\n 1227→ const sdk = await getSDK(provider.info, info!);\n 1228→ language = provider.getModel\n 1229→ ? await provider.getModel(sdk, realID, provider.options)\n 1230→ : sdk.languageModel(realID);\n 1231→ }\n 1232→ log.info(() => ({ message: 'found', providerID, modelID }));\n 1233→ s.models.set(key, {\n 1234→ providerID,\n 1235→ modelID,\n 1236→ info,\n 1237→ language,\n 1238→ npm: isSyntheticProvider\n 1239→ ? provider.info.npm\n 1240→ : (info.provider?.npm ?? provider.info.npm),\n 1241→ });\n 1242→ return {\n 1243→ modelID,\n 1244→ providerID,\n 1245→ info,\n 1246→ language,\n 1247→ npm: info.provider?.npm ?? provider.info.npm,\n 1248→ };\n 1249→ } catch (e) {\n 1250→ if (e instanceof NoSuchModelError)\n 1251→ throw new ModelNotFoundError(\n 1252→ {\n 1253→ modelID: modelID,\n 1254→ providerID,\n 1255→ },\n 1256→ { cause: e }\n 1257→ );\n 1258→ throw e;\n 1259→ }\n 1260→ }\n 1261→\n 1262→ export async function getSmallModel(providerID: string) {\n 1263→ const cfg = await Config.get();\n 1264→\n 1265→ if (cfg.small_model) {\n 1266→ const parsed = parseModel(cfg.small_model);\n 1267→ return getModel(parsed.providerID, parsed.modelID);\n 1268→ }\n 1269→\n 1270→ const provider = await state().then((state) => state.providers[providerID]);\n 1271→ if (!provider) return;\n 1272→ let priority = [\n 1273→ 'claude-haiku-4-5',\n 1274→ 'claude-haiku-4.5',\n 1275→ '3-5-haiku',\n 1276→ '3.5-haiku',\n 1277→ 'gemini-2.5-flash',\n 1278→ 'gpt-5-nano',\n 1279→ ];\n 1280→ // claude-haiku-4.5 is considered a premium model in github copilot, we shouldn't use premium requests for title gen\n 1281→ if (providerID === 'github-copilot') {\n 1282→ priority = priority.filter((m) => m !== 'claude-haiku-4.5');\n 1283→ }\n 1284→ if (providerID === 'opencode' || providerID === 'local') {\n 1285→ priority = [\n 1286→ 'kimi-k2.5-free',\n 1287→ 'minimax-m2.1-free',\n 1288→ 'gpt-5-nano',\n 1289→ 'glm-4.7-free',\n 1290→ 'big-pickle',\n 1291→ ];\n 1292→ }\n 1293→ if (providerID === 'kilo') {\n 1294→ priority = [\n 1295→ 'glm-5-free',\n 1296→ 'glm-4.7-free',\n 1297→ 'kimi-k2.5-free',\n 1298→ 'minimax-m2.1-free',\n 1299→ 'giga-potato-free',\n 1300→ ];\n 1301→ }\n 1302→ for (const item of priority) {\n 1303→ for (const model of Object.keys(provider.info.models)) {\n 1304→ if (model.includes(item)) return getModel(providerID, model);\n 1305→ }\n 1306→ }\n 1307→ }\n 1308→\n 1309→ const priority = [\n 1310→ 'glm-5-free',\n 1311→ 'kimi-k2.5-free',\n 1312→ 'minimax-m2.1-free',\n 1313→ 'gpt-5-nano',\n 1314→ 'glm-4.7-free',\n 1315→ 'big-pickle',\n 1316→ 'gpt-5',\n 1317→ 'claude-sonnet-4',\n 1318→ 'gemini-3-pro',\n 1319→ ];\n 1320→ export function sort(models: ModelsDev.Model[]) {\n 1321→ return sortBy(\n 1322→ models,\n 1323→ [\n 1324→ (model) => priority.findIndex((filter) => model.id.includes(filter)),\n 1325→ 'desc',\n 1326→ ],\n 1327→ [(model) => (model.id.includes('latest') ? 0 : 1), 'asc'],\n 1328→ [(model) => model.id, 'desc']\n 1329→ );\n 1330→ }\n 1331→\n 1332→ export async function defaultModel() {\n 1333→ const cfg = await Config.get();\n 1334→\n 1335→ // In dry-run mode, use the echo provider by default\n 1336→ // This allows testing round-trips and multi-turn conversations without API costs\n 1337→ // @see https://github.com/link-assistant/agent/issues/89\n 1338→ if (Flag.OPENCODE_DRY_RUN) {\n 1339→ log.info('dry-run mode enabled, using echo provider as default');\n 1340→ return {\n 1341→ providerID: 'link-assistant',\n 1342→ modelID: 'echo',\n 1343→ };\n 1344→ }\n 1345→\n 1346→ if (cfg.model) return parseModel(cfg.model);\n 1347→\n 1348→ // Prefer opencode provider if available\n 1349→ const providers = await list().then((val) => Object.values(val));\n 1350→ const opencodeProvider = providers.find((p) => p.info.id === 'opencode');\n 1351→ if (opencodeProvider) {\n 1352→ const [model] = sort(Object.values(opencodeProvider.info.models));\n 1353→ if (model) {\n 1354→ log.info(() => ({\n 1355→ message: 'using opencode provider as default',\n 1356→ provider: opencodeProvider.info.id,\n 1357→ model: model.id,\n 1358→ }));\n 1359→ return {\n 1360→ providerID: opencodeProvider.info.id,\n 1361→ modelID: model.id,\n 1362→ };\n 1363→ }\n 1364→ }\n 1365→\n 1366→ // Fall back to any available provider if opencode is not available\n 1367→ const provider = providers.find(\n 1368→ (p) => !cfg.provider || Object.keys(cfg.provider).includes(p.info.id)\n 1369→ );\n 1370→ if (!provider) throw new Error('no providers found');\n 1371→ const [model] = sort(Object.values(provider.info.models));\n 1372→ if (!model) throw new Error('no models found');\n 1373→ return {\n 1374→ providerID: provider.info.id,\n 1375→ modelID: model.id,\n 1376→ };\n 1377→ }\n 1378→\n 1379→ export function parseModel(model: string) {\n 1380→ const [providerID, ...rest] = model.split('/');\n 1381→ return {\n 1382→ providerID: providerID,\n 1383→ modelID: rest.join('/'),\n 1384→ };\n 1385→ }\n 1386→\n 1387→ /**\n 1388→ * Resolve a short model name (without provider prefix) to the appropriate provider.\n 1389→ * This function finds which provider should handle a model when no explicit provider is specified.\n 1390→ *\n 1391→ * Priority for free models:\n 1392→ * 1. If model is uniquely available in one provider, use that provider\n 1393→ * 2. If model is available in multiple providers, prioritize based on free model availability:\n 1394→ * - kilo: glm-5-free, glm-4.7-free, minimax-m2.1-free, giga-potato-free (unique to Kilo)\n 1395→ * - opencode: minimax-m2.5-free, big-pickle, gpt-5-nano (unique to OpenCode)\n 1396→ * - SHARED: kimi-k2.5-free (available in both)\n 1397→ * 3. For shared models like kimi-k2.5-free, prefer OpenCode first, then fall back to Kilo on rate limit\n 1398→ *\n 1399→ * @param modelID - Short model name without provider prefix\n 1400→ * @returns Provider ID that should handle this model, or undefined if not found\n 1401→ */\n 1402→ export async function resolveShortModelName(\n 1403→ modelID: string\n 1404→ ): Promise<{ providerID: string; modelID: string } | undefined> {\n 1405→ const s = await state();\n 1406→\n 1407→ // Define model-to-provider mappings for free models\n 1408→ // Models unique to Kilo (GLM models from Z.AI are only free on Kilo)\n 1409→ const kiloUniqueModels = [\n 1410→ 'glm-5-free',\n 1411→ 'glm-4.7-free',\n 1412→ 'giga-potato-free',\n 1413→ 'trinity-large-preview',\n 1414→ ];\n 1415→\n 1416→ // Check if it's a Kilo-unique model\n 1417→ if (kiloUniqueModels.includes(modelID)) {\n 1418→ const kiloProvider = s.providers['kilo'];\n 1419→ if (kiloProvider && kiloProvider.info.models[modelID]) {\n 1420→ log.info(() => ({\n 1421→ message: 'resolved short model name to kilo (unique)',\n 1422→ modelID,\n 1423→ }));\n 1424→ return { providerID: 'kilo', modelID };\n 1425→ }\n 1426→ }\n 1427→\n 1428→ // Check if model exists in any provider\n 1429→ const matchingProviders: string[] = [];\n 1430→ for (const [providerID, provider] of Object.entries(s.providers)) {\n 1431→ if (provider.info.models[modelID]) {\n 1432→ matchingProviders.push(providerID);\n 1433→ }\n 1434→ }\n 1435→\n 1436→ if (matchingProviders.length === 0) {\n 1437→ return undefined;\n 1438→ }\n 1439→\n 1440→ if (matchingProviders.length === 1) {\n 1441→ const providerID = matchingProviders[0];\n 1442→ log.info(() => ({\n 1443→ message: 'resolved short model name (single match)',\n 1444→ modelID,\n 1445→ providerID,\n 1446→ }));\n 1447→ return { providerID, modelID };\n 1448→ }\n 1449→\n 1450→ // Multiple providers have this model - prefer OpenCode for shared free models\n 1451→ // This follows the convention that opencode is the primary free provider\n 1452→ if (matchingProviders.includes('opencode')) {\n 1453→ log.info(() => ({\n 1454→ message: 'resolved short model name to opencode (multiple providers)',\n 1455→ modelID,\n 1456→ availableProviders: matchingProviders,\n 1457→ }));\n 1458→ return { providerID: 'opencode', modelID };\n 1459→ }\n 1460→\n 1461→ // Fallback to first matching provider\n 1462→ const providerID = matchingProviders[0];\n 1463→ log.info(() => ({\n 1464→ message: 'resolved short model name (fallback)',\n 1465→ modelID,\n 1466→ providerID,\n 1467→ availableProviders: matchingProviders,\n 1468→ }));\n 1469→ return { providerID, modelID };\n 1470→ }\n 1471→\n 1472→ /**\n 1473→ * Parse a model string that may or may not include a provider prefix.\n 1474→ * If no provider is specified, attempts to resolve the short model name to the appropriate provider.\n 1475→ *\n 1476→ * Examples:\n 1477→ * - \"kilo/glm-5-free\" -> { providerID: \"kilo\", modelID: \"glm-5-free\" }\n 1478→ * - \"glm-5-free\" -> { providerID: \"kilo\", modelID: \"glm-5-free\" } (resolved)\n 1479→ * - \"kimi-k2.5-free\" -> { providerID: \"opencode\", modelID: \"kimi-k2.5-free\" } (resolved)\n 1480→ *\n 1481→ * @param model - Model string with or without provider prefix\n 1482→ * @returns Parsed provider ID and model ID\n 1483→ */\n 1484→ export async function parseModelWithResolution(\n 1485→ model: string\n 1486→ ): Promise<{ providerID: string; modelID: string }> {\n 1487→ // Check if model includes a provider prefix\n 1488→ if (model.includes('/')) {\n 1489→ // Explicit provider specified - use it directly\n 1490→ return parseModel(model);\n 1491→ }\n 1492→\n 1493→ // No provider prefix - try to resolve the short model name\n 1494→ const resolved = await resolveShortModelName(model);\n 1495→ if (resolved) {\n 1496→ return resolved;\n 1497→ }\n 1498→\n 1499→ // Unable to resolve - fall back to default behavior (opencode provider)\n 1500→ log.warn(() => ({\n 1501→ message: 'unable to resolve short model name, using opencode as default',\n 1502→ modelID: model,\n 1503→ }));\n 1504→ return {\n 1505→ providerID: 'opencode',\n 1506→ modelID: model,\n 1507→ };\n 1508→ }\n 1509→\n 1510→ /**\n 1511→ * Defines models that are available in multiple free providers.\n 1512→ * When one provider hits rate limits, the system can try an alternative.\n 1513→ *\n 1514→ * Note: This is only used for models without explicit provider specification.\n 1515→ * If user specifies \"kilo/kimi-k2.5-free\", no fallback will occur.\n 1516→ */\n 1517→ const SHARED_FREE_MODELS: Record<string, string[]> = {\n 1518→ // kimi-k2.5-free is available in both OpenCode and Kilo\n 1519→ 'kimi-k2.5-free': ['opencode', 'kilo'],\n 1520→ // Note: minimax-m2.1-free is Kilo only, minimax-m2.5-free is OpenCode only\n 1521→ // They are different model versions, not shared\n 1522→ };\n 1523→\n 1524→ /**\n 1525→ * Get alternative providers for a model when the primary provider fails (e.g., rate limited).\n 1526→ * This function returns a list of alternative providers that offer the same model.\n 1527→ *\n 1528→ * Note: This only returns alternatives for models without explicit provider specification.\n 1529→ * If the original request had an explicit provider (like \"kilo/kimi-k2.5-free\"), this returns empty array.\n 1530→ *\n 1531→ * @param modelID - The model ID to find alternatives for\n 1532→ * @param failedProviderID - The provider that failed\n 1533→ * @param wasExplicitProvider - Whether the user explicitly specified the provider\n 1534→ * @returns Array of alternative provider IDs that can serve this model\n 1535→ */\n 1536→ export async function getAlternativeProviders(\n 1537→ modelID: string,\n 1538→ failedProviderID: string,\n 1539→ wasExplicitProvider: boolean\n 1540→ ): Promise<string[]> {\n 1541→ // If the user explicitly specified a provider, don't offer alternatives\n 1542→ if (wasExplicitProvider) {\n 1543→ log.info(() => ({\n 1544→ message: 'no alternative providers (explicit provider specified)',\n 1545→ modelID,\n 1546→ failedProviderID,\n 1547→ }));\n 1548→ return [];\n 1549→ }\n 1550→\n 1551→ // Check if this is a shared model\n 1552→ const sharedProviders = SHARED_FREE_MODELS[modelID];\n 1553→ if (!sharedProviders) {\n 1554→ // Not a shared model, no alternatives\n 1555→ return [];\n 1556→ }\n 1557→\n 1558→ // Get alternative providers (excluding the failed one)\n 1559→ const s = await state();\n 1560→ const alternatives = sharedProviders.filter(\n 1561→ (p) => p !== failedProviderID && s.providers[p]\n 1562→ );\n 1563→\n 1564→ if (alternatives.length > 0) {\n 1565→ log.info(() => ({\n 1566→ message: 'found alternative providers for rate-limited model',\n 1567→ modelID,\n 1568→ failedProviderID,\n 1569→ alternatives,\n 1570→ }));\n 1571→ }\n 1572→\n 1573→ return alternatives;\n 1574→ }\n 1575→\n 1576→ /**\n 1577→ * Checks if an error indicates a rate limit issue.\n 1578→ * @param error - The error to check\n 1579→ * @returns true if the error indicates a rate limit\n 1580→ */\n 1581→ export function isRateLimitError(error: unknown): boolean {\n 1582→ if (!(error instanceof Error)) return false;\n 1583→\n 1584→ const message = error.message.toLowerCase();\n 1585→ const name = error.name.toLowerCase();\n 1586→\n 1587→ return (\n 1588→ message.includes('rate limit') ||\n 1589→ message.includes('ratelimit') ||\n 1590→ message.includes('too many requests') ||\n 1591→ message.includes('429') ||\n 1592→ name.includes('ratelimit')\n 1593→ );\n 1594→ }\n 1595→\n 1596→ export const ModelNotFoundError = NamedError.create(\n 1597→ 'ProviderModelNotFoundError',\n 1598→ z.object({\n 1599→ providerID: z.string(),\n 1600→ modelID: z.string(),\n 1601→ suggestion: z.string().optional(),\n 1602→ })\n 1603→ );\n 1604→\n 1605→ export const InitError = NamedError.create(\n 1606→ 'ProviderInitError',\n 1607→ z.object({\n 1608→ providerID: z.string(),\n 1609→ })\n 1610→ );\n 1611→}\n 1612→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "6b052983-e466-4baa-9cea-bb3c1114bd4a", | |
| "tool_use_result": { | |
| "type": "text", | |
| "file": { | |
| "filePath": "/tmp/gh-issue-solver-1771068195706/js/src/provider/provider.ts", | |
| "content": "import z from 'zod';\nimport path from 'path';\nimport { Config } from '../config/config';\nimport { mergeDeep, sortBy } from 'remeda';\nimport { NoSuchModelError, type LanguageModel, type Provider as SDK } from 'ai';\nimport { Log } from '../util/log';\nimport { BunProc } from '../bun';\nimport { ModelsDev } from './models';\nimport { NamedError } from '../util/error';\nimport { Auth } from '../auth';\nimport { ClaudeOAuth } from '../auth/claude-oauth';\nimport { AuthPlugins } from '../auth/plugins';\nimport { Instance } from '../project/instance';\nimport { Global } from '../global';\nimport { Flag } from '../flag/flag';\nimport { iife } from '../util/iife';\nimport { createEchoModel } from './echo';\nimport { createCacheModel } from './cache';\nimport { RetryFetch } from './retry-fetch';\n\nexport namespace Provider {\n const log = Log.create({ service: 'provider' });\n\n type CustomLoader = (provider: ModelsDev.Provider) => Promise<{\n autoload: boolean;\n getModel?: (\n sdk: any,\n modelID: string,\n options?: Record<string, any>\n ) => Promise<any>;\n options?: Record<string, any>;\n }>;\n\n type Source = 'env' | 'config' | 'custom' | 'api';\n\n const CUSTOM_LOADERS: Record<string, CustomLoader> = {\n async anthropic(input) {\n // Check if OAuth credentials are available via the auth plugin\n const auth = await Auth.get('anthropic');\n if (auth?.type === 'oauth') {\n log.info(() => ({ message: 'using anthropic oauth credentials' }));\n const loaderFn = await AuthPlugins.getLoader('anthropic');\n if (loaderFn) {\n const result = await loaderFn(() => Auth.get('anthropic'), input);\n if (result.fetch) {\n return {\n autoload: true,\n options: {\n apiKey: result.apiKey || '',\n fetch: result.fetch,\n headers: {\n 'anthropic-beta':\n 'oauth-2025-04-20,claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n },\n },\n };\n }\n }\n }\n // Default: API key auth\n return {\n autoload: false,\n options: {\n headers: {\n 'anthropic-beta':\n 'claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n },\n },\n };\n },\n async opencode(input) {\n const hasKey = await (async () => {\n if (input.env.some((item) => process.env[item])) return true;\n if (await Auth.get(input.id)) return true;\n return false;\n })();\n\n if (!hasKey) {\n for (const [key, value] of Object.entries(input.models)) {\n if (value.cost.input === 0) continue;\n delete input.models[key];\n }\n }\n\n return {\n autoload: Object.keys(input.models).length > 0,\n options: hasKey ? {} : { apiKey: 'public' },\n };\n },\n openai: async () => {\n return {\n autoload: false,\n async getModel(\n sdk: any,\n modelID: string,\n _options?: Record<string, any>\n ) {\n return sdk.responses(modelID);\n },\n options: {},\n };\n },\n azure: async () => {\n return {\n autoload: false,\n async getModel(\n sdk: any,\n modelID: string,\n options?: Record<string, any>\n ) {\n if (options?.['useCompletionUrls']) {\n return sdk.chat(modelID);\n } else {\n return sdk.responses(modelID);\n }\n },\n options: {},\n };\n },\n 'azure-cognitive-services': async () => {\n const resourceName =\n process.env['AZURE_COGNITIVE_SERVICES_RESOURCE_NAME'];\n return {\n autoload: false,\n async getModel(\n sdk: any,\n modelID: string,\n options?: Record<string, any>\n ) {\n if (options?.['useCompletionUrls']) {\n return sdk.chat(modelID);\n } else {\n return sdk.responses(modelID);\n }\n },\n options: {\n baseURL: resourceName\n ? `https://${resourceName}.cognitiveservices.azure.com/openai`\n : undefined,\n },\n };\n },\n 'amazon-bedrock': async () => {\n if (\n !process.env['AWS_PROFILE'] &&\n !process.env['AWS_ACCESS_KEY_ID'] &&\n !process.env['AWS_BEARER_TOKEN_BEDROCK']\n )\n return { autoload: false };\n\n const region = process.env['AWS_REGION'] ?? 'us-east-1';\n\n const { fromNodeProviderChain } = await import(\n await BunProc.install('@aws-sdk/credential-providers')\n );\n return {\n autoload: true,\n options: {\n region,\n credentialProvider: fromNodeProviderChain(),\n },\n async getModel(\n sdk: any,\n modelID: string,\n _options?: Record<string, any>\n ) {\n let regionPrefix = region.split('-')[0];\n\n switch (regionPrefix) {\n case 'us': {\n const modelRequiresPrefix = [\n 'nova-micro',\n 'nova-lite',\n 'nova-pro',\n 'nova-premier',\n 'claude',\n 'deepseek',\n ].some((m) => modelID.includes(m));\n const isGovCloud = region.startsWith('us-gov');\n if (modelRequiresPrefix && !isGovCloud) {\n modelID = `${regionPrefix}.${modelID}`;\n }\n break;\n }\n case 'eu': {\n const regionRequiresPrefix = [\n 'eu-west-1',\n 'eu-west-2',\n 'eu-west-3',\n 'eu-north-1',\n 'eu-central-1',\n 'eu-south-1',\n 'eu-south-2',\n ].some((r) => region.includes(r));\n const modelRequiresPrefix = [\n 'claude',\n 'nova-lite',\n 'nova-micro',\n 'llama3',\n 'pixtral',\n ].some((m) => modelID.includes(m));\n if (regionRequiresPrefix && modelRequiresPrefix) {\n modelID = `${regionPrefix}.${modelID}`;\n }\n break;\n }\n case 'ap': {\n const isAustraliaRegion = [\n 'ap-southeast-2',\n 'ap-southeast-4',\n ].includes(region);\n if (\n isAustraliaRegion &&\n ['anthropic.claude-sonnet-4-5', 'anthropic.claude-haiku'].some(\n (m) => modelID.includes(m)\n )\n ) {\n regionPrefix = 'au';\n modelID = `${regionPrefix}.${modelID}`;\n } else {\n const modelRequiresPrefix = [\n 'claude',\n 'nova-lite',\n 'nova-micro',\n 'nova-pro',\n ].some((m) => modelID.includes(m));\n if (modelRequiresPrefix) {\n regionPrefix = 'apac';\n modelID = `${regionPrefix}.${modelID}`;\n }\n }\n break;\n }\n }\n\n return sdk.languageModel(modelID);\n },\n };\n },\n openrouter: async () => {\n return {\n autoload: false,\n options: {\n headers: {\n 'HTTP-Referer': 'https://opencode.ai/',\n 'X-Title': 'opencode',\n },\n },\n };\n },\n vercel: async () => {\n return {\n autoload: false,\n options: {\n headers: {\n 'http-referer': 'https://opencode.ai/',\n 'x-title': 'opencode',\n },\n },\n };\n },\n 'google-vertex': async () => {\n const project =\n process.env['GOOGLE_CLOUD_PROJECT'] ??\n process.env['GCP_PROJECT'] ??\n process.env['GCLOUD_PROJECT'];\n const location =\n process.env['GOOGLE_CLOUD_LOCATION'] ??\n process.env['VERTEX_LOCATION'] ??\n 'us-east5';\n const autoload = Boolean(project);\n if (!autoload) return { autoload: false };\n return {\n autoload: true,\n options: {\n project,\n location,\n },\n async getModel(sdk: any, modelID: string) {\n const id = String(modelID).trim();\n return sdk.languageModel(id);\n },\n };\n },\n 'google-vertex-anthropic': async () => {\n const project =\n process.env['GOOGLE_CLOUD_PROJECT'] ??\n process.env['GCP_PROJECT'] ??\n process.env['GCLOUD_PROJECT'];\n const location =\n process.env['GOOGLE_CLOUD_LOCATION'] ??\n process.env['VERTEX_LOCATION'] ??\n 'global';\n const autoload = Boolean(project);\n if (!autoload) return { autoload: false };\n return {\n autoload: true,\n options: {\n project,\n location,\n },\n async getModel(sdk: any, modelID: string) {\n const id = String(modelID).trim();\n return sdk.languageModel(id);\n },\n };\n },\n zenmux: async () => {\n return {\n autoload: false,\n options: {\n headers: {\n 'HTTP-Referer': 'https://opencode.ai/',\n 'X-Title': 'opencode',\n },\n },\n };\n },\n groq: async () => {\n return {\n autoload: false,\n options: {},\n };\n },\n /**\n * Kilo provider - access to 500+ AI models through Kilo Gateway\n * Uses OpenAI-compatible API at https://api.kilo.ai/api/gateway\n *\n * Free models available without API key (using 'public' key):\n * - GLM-5 (z-ai/glm-5) - Free limited time, flagship Z.AI model\n * - GLM 4.7 (z-ai/glm-4.7:free) - Free, agent-centric model\n * - Kimi K2.5 (moonshot/kimi-k2.5:free) - Free, agentic capabilities\n * - MiniMax M2.1 (minimax/m2.1:free) - Free, general-purpose\n * - Giga Potato (giga-potato:free) - Free evaluation model\n *\n * For paid models, set KILO_API_KEY environment variable\n *\n * @see https://kilo.ai/docs/gateway\n * @see https://kilo.ai/docs/advanced-usage/free-and-budget-models\n */\n kilo: async (input) => {\n const hasKey = await (async () => {\n if (input.env.some((item) => process.env[item])) return true;\n if (await Auth.get(input.id)) return true;\n return false;\n })();\n\n // For free models, we can use 'public' as the API key\n // For paid models, user needs to set KILO_API_KEY\n if (!hasKey) {\n for (const [key, value] of Object.entries(input.models)) {\n // Keep only free models (cost.input === 0) when no API key\n if (value.cost.input === 0) continue;\n delete input.models[key];\n }\n }\n\n return {\n autoload: Object.keys(input.models).length > 0,\n options: hasKey\n ? {}\n : {\n apiKey: 'public',\n },\n };\n },\n /**\n * Qwen Coder OAuth provider for Qwen subscription users\n * Uses OAuth credentials from agent auth login (Qwen Coder Subscription)\n *\n * To authenticate, run: agent auth login (select Qwen Coder)\n */\n 'qwen-coder': async (input) => {\n const auth = await Auth.get('qwen-coder');\n if (auth?.type === 'oauth') {\n log.info(() => ({\n message: 'using qwen-coder oauth credentials',\n }));\n const loaderFn = await AuthPlugins.getLoader('qwen-coder');\n if (loaderFn) {\n const result = await loaderFn(() => Auth.get('qwen-coder'), input);\n if (result.fetch) {\n return {\n autoload: true,\n options: {\n apiKey: result.apiKey || '',\n baseURL: result.baseURL,\n fetch: result.fetch,\n },\n };\n }\n }\n }\n // Default: not auto-loaded without OAuth\n return { autoload: false };\n },\n /**\n * Alibaba OAuth provider (alias for Qwen Coder)\n * Uses OAuth credentials from agent auth login (Alibaba / Qwen Coder Subscription)\n *\n * To authenticate, run: agent auth login (select Alibaba)\n */\n alibaba: async (input) => {\n const auth = await Auth.get('alibaba');\n if (auth?.type === 'oauth') {\n log.info(() => ({\n message: 'using alibaba oauth credentials',\n }));\n const loaderFn = await AuthPlugins.getLoader('alibaba');\n if (loaderFn) {\n const result = await loaderFn(() => Auth.get('alibaba'), input);\n if (result.fetch) {\n return {\n autoload: true,\n options: {\n apiKey: result.apiKey || '',\n baseURL: result.baseURL,\n fetch: result.fetch,\n },\n };\n }\n }\n }\n // Default: not auto-loaded without OAuth\n return { autoload: false };\n },\n /**\n * Google OAuth provider for Gemini subscription users\n * Uses OAuth credentials from agent auth login (Google AI Pro/Ultra)\n *\n * To authenticate, run: agent auth google\n */\n google: async (input) => {\n const auth = await Auth.get('google');\n if (auth?.type === 'oauth') {\n log.info(() => ({ message: 'using google oauth credentials' }));\n const loaderFn = await AuthPlugins.getLoader('google');\n if (loaderFn) {\n const result = await loaderFn(() => Auth.get('google'), input);\n if (result.fetch) {\n return {\n autoload: true,\n options: {\n apiKey: result.apiKey || '',\n fetch: result.fetch,\n },\n };\n }\n }\n }\n // Default: API key auth (no OAuth credentials found)\n return { autoload: false };\n },\n /**\n * GitHub Copilot OAuth provider\n * Uses OAuth credentials from agent auth login\n */\n 'github-copilot': async (input) => {\n const auth = await Auth.get('github-copilot');\n if (auth?.type === 'oauth') {\n log.info(() => ({\n message: 'using github copilot oauth credentials',\n }));\n const loaderFn = await AuthPlugins.getLoader('github-copilot');\n if (loaderFn) {\n const result = await loaderFn(\n () => Auth.get('github-copilot'),\n input\n );\n if (result.fetch) {\n return {\n autoload: true,\n options: {\n apiKey: result.apiKey || '',\n baseURL: result.baseURL,\n fetch: result.fetch,\n },\n };\n }\n }\n }\n return { autoload: false };\n },\n /**\n * GitHub Copilot Enterprise OAuth provider\n * Uses OAuth credentials from agent auth login with enterprise URL\n */\n 'github-copilot-enterprise': async (input) => {\n const auth = await Auth.get('github-copilot-enterprise');\n if (auth?.type === 'oauth') {\n log.info(() => ({\n message: 'using github copilot enterprise oauth credentials',\n }));\n const loaderFn = await AuthPlugins.getLoader('github-copilot');\n if (loaderFn) {\n const result = await loaderFn(\n () => Auth.get('github-copilot-enterprise'),\n input\n );\n if (result.fetch) {\n return {\n autoload: true,\n options: {\n apiKey: result.apiKey || '',\n baseURL: result.baseURL,\n fetch: result.fetch,\n },\n };\n }\n }\n }\n return { autoload: false };\n },\n /**\n * Claude OAuth provider - uses Claude OAuth credentials to access\n * Anthropic models via the Claude API.\n *\n * This provider supports two methods:\n * 1. Environment variable: CLAUDE_CODE_OAUTH_TOKEN\n * 2. Credentials file: ~/.claude/.credentials.json (from Claude Code CLI or our auth command)\n *\n * OAuth tokens use Bearer authentication (Authorization header)\n * instead of x-api-key authentication used by standard API keys.\n *\n * To authenticate, run: agent auth claude\n */\n 'claude-oauth': async (input) => {\n // Check for OAuth token from environment variable first\n let oauthToken = process.env['CLAUDE_CODE_OAUTH_TOKEN'];\n let tokenSource = 'environment';\n\n if (!oauthToken) {\n // Check for OAuth credentials from credentials file\n const claudeCreds = await ClaudeOAuth.getCredentials();\n if (claudeCreds) {\n oauthToken = claudeCreds.accessToken;\n tokenSource = `credentials file (${claudeCreds.subscriptionType ?? 'unknown'})`;\n }\n }\n\n if (!oauthToken) {\n return { autoload: false };\n }\n\n log.info(() => ({\n message: 'using claude oauth credentials',\n source: tokenSource,\n }));\n\n // Create authenticated fetch with Bearer token and OAuth beta header\n const customFetch = ClaudeOAuth.createAuthenticatedFetch(oauthToken);\n\n return {\n autoload: true,\n options: {\n // Use a placeholder key to satisfy the SDK's API key requirement\n // The actual authentication is done via Bearer token in customFetch\n apiKey: 'oauth-token-placeholder',\n fetch: customFetch,\n headers: {\n 'anthropic-beta':\n 'oauth-2025-04-20,claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n },\n },\n };\n },\n /**\n * Echo provider - synthetic provider for dry-run testing\n * Echoes back the user's input without making actual API calls.\n *\n * This provider is automatically enabled when --dry-run mode is active.\n * It can also be used explicitly with: --model link-assistant/echo\n *\n * @see https://github.com/link-assistant/agent/issues/89\n */\n 'link-assistant': async () => {\n // Echo provider is always available - no external dependencies needed\n return {\n autoload: Flag.OPENCODE_DRY_RUN, // Auto-load only in dry-run mode\n async getModel(_sdk: any, modelID: string) {\n // Return our custom echo model that implements LanguageModelV1\n return createEchoModel(modelID);\n },\n options: {},\n };\n },\n /**\n * Cache provider - synthetic provider for caching API responses\n * Caches responses using links notation for deterministic testing.\n *\n * This provider caches API responses and falls back to echo behavior.\n * It can be used explicitly with: --model link-assistant/cache/opencode/grok-code\n *\n * @see https://github.com/link-assistant/agent/issues/89\n */\n 'link-assistant/cache': async () => {\n // Cache provider is always available - no external dependencies needed\n return {\n autoload: false, // Not auto-loaded\n async getModel(_sdk: any, modelID: string) {\n // modelID should be in format \"provider/model\" like \"opencode/grok-code\"\n const parts = modelID.split('/');\n if (parts.length < 2) {\n throw new Error(\n `Invalid cache model ID: ${modelID}. Expected format: provider/model`\n );\n }\n const [providerId, ...modelParts] = parts;\n const actualModelId = modelParts.join('/');\n\n // Return our custom cache model that implements LanguageModelV1\n return createCacheModel(providerId, actualModelId);\n },\n options: {},\n };\n },\n };\n\n const state = Instance.state(async () => {\n using _ = log.time('state');\n const config = await Config.get();\n const database = await ModelsDev.get();\n\n const providers: {\n [providerID: string]: {\n source: Source;\n info: ModelsDev.Provider;\n getModel?: (\n sdk: any,\n modelID: string,\n options?: Record<string, any>\n ) => Promise<any>;\n options: Record<string, any>;\n };\n } = {};\n const models = new Map<\n string,\n {\n providerID: string;\n modelID: string;\n info: ModelsDev.Model;\n language: LanguageModel;\n npm?: string;\n }\n >();\n const sdk = new Map<number, SDK>();\n // Maps `${provider}/${key}` to the provider’s actual model ID for custom aliases.\n const realIdByKey = new Map<string, string>();\n\n log.info(() => ({ message: 'init' }));\n\n function mergeProvider(\n id: string,\n options: Record<string, any>,\n source: Source,\n getModel?: (\n sdk: any,\n modelID: string,\n options?: Record<string, any>\n ) => Promise<any>\n ) {\n const provider = providers[id];\n if (!provider) {\n const info = database[id];\n if (!info) return;\n if (info.api && !options['baseURL']) options['baseURL'] = info.api;\n providers[id] = {\n source,\n info,\n options,\n getModel,\n };\n return;\n }\n provider.options = mergeDeep(provider.options, options);\n provider.source = source;\n provider.getModel = getModel ?? provider.getModel;\n }\n\n const configProviders = Object.entries(config.provider ?? {});\n\n // Add GitHub Copilot Enterprise provider that inherits from GitHub Copilot\n if (database['github-copilot']) {\n const githubCopilot = database['github-copilot'];\n database['github-copilot-enterprise'] = {\n ...githubCopilot,\n id: 'github-copilot-enterprise',\n name: 'GitHub Copilot Enterprise',\n // Enterprise uses a different API endpoint - will be set dynamically based on auth\n api: undefined,\n };\n }\n\n // Add Claude OAuth provider that inherits from Anthropic\n // This allows using Claude Code CLI OAuth credentials with the Anthropic API\n if (database['anthropic']) {\n const anthropic = database['anthropic'];\n database['claude-oauth'] = {\n ...anthropic,\n id: 'claude-oauth',\n name: 'Claude OAuth',\n // Use CLAUDE_CODE_OAUTH_TOKEN environment variable\n env: ['CLAUDE_CODE_OAUTH_TOKEN'],\n };\n }\n\n // Add gemini-3-pro alias for google provider\n // The actual model in Google's API is gemini-3-pro-preview, but we add gemini-3-pro as an alias for convenience\n if (database['google']?.models['gemini-3-pro-preview']) {\n const gemini3ProPreview =\n database['google'].models['gemini-3-pro-preview'];\n database['google'].models['gemini-3-pro'] = {\n ...gemini3ProPreview,\n id: 'gemini-3-pro-preview',\n name: 'Gemini 3 Pro',\n };\n realIdByKey.set('google/gemini-3-pro', 'gemini-3-pro-preview');\n }\n\n // Add link-assistant echo provider for dry-run testing\n // This synthetic provider echoes back user input without API calls\n // @see https://github.com/link-assistant/agent/issues/89\n database['link-assistant'] = {\n id: 'link-assistant',\n name: 'Link Assistant (Echo)',\n env: [], // No environment variables needed - synthetic provider\n models: {\n echo: {\n id: 'echo',\n name: 'Echo Model',\n release_date: '2024-01-01',\n attachment: false,\n reasoning: false,\n temperature: false,\n tool_call: true,\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 1000000, // Virtually unlimited\n output: 100000,\n },\n modalities: {\n input: ['text'],\n output: ['text'],\n },\n options: {},\n },\n },\n };\n\n // Add link-assistant/cache provider for caching API responses\n // This synthetic provider caches responses and falls back to echo\n // @see https://github.com/link-assistant/agent/issues/89\n database['link-assistant/cache'] = {\n id: 'link-assistant/cache',\n name: 'Link Assistant (Cache)',\n env: [], // No environment variables needed - synthetic provider\n models: {}, // Models are dynamically created based on the provider/model syntax\n };\n\n // Add Kilo provider for access to 500+ AI models through Kilo Gateway\n // Free models available: GLM-5, GLM 4.7, Kimi K2.5, MiniMax M2.1, Giga Potato\n // @see https://kilo.ai/docs/gateway\n // @see https://github.com/link-assistant/agent/issues/159\n database['kilo'] = {\n id: 'kilo',\n name: 'Kilo Gateway',\n npm: '@ai-sdk/openai-compatible',\n api: 'https://api.kilo.ai/api/gateway',\n env: ['KILO_API_KEY'],\n models: {\n // GLM-5 - Flagship Z.AI model, free for limited time\n 'glm-5-free': {\n id: 'z-ai/glm-5',\n name: 'GLM-5 (Free)',\n release_date: '2026-02-11',\n attachment: false,\n reasoning: true,\n temperature: true,\n tool_call: true,\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 202752,\n output: 131072,\n },\n modalities: {\n input: ['text'],\n output: ['text'],\n },\n options: {},\n },\n // GLM 4.7 - Agent-centric model, free\n 'glm-4.7-free': {\n id: 'z-ai/glm-4.7:free',\n name: 'GLM 4.7 (Free)',\n release_date: '2026-01-15',\n attachment: false,\n reasoning: true,\n temperature: true,\n tool_call: true,\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 131072,\n output: 65536,\n },\n modalities: {\n input: ['text'],\n output: ['text'],\n },\n options: {},\n },\n // Kimi K2.5 - Agentic capabilities, free\n 'kimi-k2.5-free': {\n id: 'moonshot/kimi-k2.5:free',\n name: 'Kimi K2.5 (Free)',\n release_date: '2025-12-01',\n attachment: false,\n reasoning: false,\n temperature: true,\n tool_call: true,\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 131072,\n output: 65536,\n },\n modalities: {\n input: ['text'],\n output: ['text'],\n },\n options: {},\n },\n // MiniMax M2.1 - General-purpose, free\n 'minimax-m2.1-free': {\n id: 'minimax/m2.1:free',\n name: 'MiniMax M2.1 (Free)',\n release_date: '2025-11-01',\n attachment: false,\n reasoning: false,\n temperature: true,\n tool_call: true,\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 131072,\n output: 65536,\n },\n modalities: {\n input: ['text'],\n output: ['text'],\n },\n options: {},\n },\n // Giga Potato - Free evaluation model\n 'giga-potato-free': {\n id: 'giga-potato:free',\n name: 'Giga Potato (Free)',\n release_date: '2026-01-01',\n attachment: false,\n reasoning: false,\n temperature: true,\n tool_call: true,\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 65536,\n output: 32768,\n },\n modalities: {\n input: ['text'],\n output: ['text'],\n },\n options: {},\n },\n // Trinity Large Preview - Preview model from Arcee AI\n 'trinity-large-preview': {\n id: 'arcee/trinity-large-preview',\n name: 'Trinity Large Preview (Free)',\n release_date: '2026-01-01',\n attachment: false,\n reasoning: false,\n temperature: true,\n tool_call: true,\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 65536,\n output: 32768,\n },\n modalities: {\n input: ['text'],\n output: ['text'],\n },\n options: {},\n },\n },\n };\n\n for (const [providerID, provider] of configProviders) {\n const existing = database[providerID];\n const parsed: ModelsDev.Provider = {\n id: providerID,\n npm: provider.npm ?? existing?.npm,\n name: provider.name ?? existing?.name ?? providerID,\n env: provider.env ?? existing?.env ?? [],\n api: provider.api ?? existing?.api,\n models: existing?.models ?? {},\n };\n\n for (const [modelID, model] of Object.entries(provider.models ?? {})) {\n const existing = parsed.models[model.id ?? modelID];\n const name = iife(() => {\n if (model.name) return model.name;\n if (model.id && model.id !== modelID) return modelID;\n return existing?.name ?? modelID;\n });\n const parsedModel: ModelsDev.Model = {\n id: modelID,\n name,\n release_date: model.release_date ?? existing?.release_date,\n attachment: model.attachment ?? existing?.attachment ?? false,\n reasoning: model.reasoning ?? existing?.reasoning ?? false,\n temperature: model.temperature ?? existing?.temperature ?? false,\n tool_call: model.tool_call ?? existing?.tool_call ?? true,\n cost:\n !model.cost && !existing?.cost\n ? {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n }\n : {\n cache_read: 0,\n cache_write: 0,\n ...existing?.cost,\n ...model.cost,\n },\n options: {\n ...existing?.options,\n ...model.options,\n },\n limit: model.limit ??\n existing?.limit ?? {\n context: 0,\n output: 0,\n },\n modalities: model.modalities ??\n existing?.modalities ?? {\n input: ['text'],\n output: ['text'],\n },\n headers: model.headers,\n provider: model.provider ?? existing?.provider,\n };\n if (model.id && model.id !== modelID) {\n realIdByKey.set(`${providerID}/${modelID}`, model.id);\n }\n parsed.models[modelID] = parsedModel;\n }\n database[providerID] = parsed;\n }\n\n const disabled = await Config.get().then(\n (cfg) => new Set(cfg.disabled_providers ?? [])\n );\n // load env\n for (const [providerID, provider] of Object.entries(database)) {\n if (disabled.has(providerID)) continue;\n // Find the first truthy env var (supports multiple env var options like Google's\n // GOOGLE_GENERATIVE_AI_API_KEY and GEMINI_API_KEY)\n const apiKey = provider.env\n .map((item) => process.env[item])\n .find(Boolean);\n if (!apiKey) continue;\n // Always pass the API key - the provider SDK needs it for authentication\n mergeProvider(providerID, { apiKey }, 'env');\n }\n\n // load apikeys\n for (const [providerID, provider] of Object.entries(await Auth.all())) {\n if (disabled.has(providerID)) continue;\n if (provider.type === 'api') {\n mergeProvider(providerID, { apiKey: provider.key }, 'api');\n }\n }\n\n // load custom\n for (const [providerID, fn] of Object.entries(CUSTOM_LOADERS)) {\n if (disabled.has(providerID)) continue;\n const result = await fn(database[providerID]);\n if (result && (result.autoload || providers[providerID])) {\n mergeProvider(\n providerID,\n result.options ?? {},\n 'custom',\n result.getModel\n );\n }\n }\n\n // load config\n for (const [providerID, provider] of configProviders) {\n mergeProvider(providerID, provider.options ?? {}, 'config');\n }\n\n for (const [providerID, provider] of Object.entries(providers)) {\n const filteredModels = Object.fromEntries(\n Object.entries(provider.info.models)\n // Filter out blacklisted models\n .filter(\n ([modelID]) =>\n modelID !== 'gpt-5-chat-latest' &&\n !(providerID === 'openrouter' && modelID === 'openai/gpt-5-chat')\n )\n // Filter out experimental models\n .filter(\n ([, model]) =>\n ((!model.experimental && model.status !== 'alpha') ||\n Flag.OPENCODE_ENABLE_EXPERIMENTAL_MODELS) &&\n model.status !== 'deprecated'\n )\n );\n provider.info.models = filteredModels;\n\n if (Object.keys(provider.info.models).length === 0) {\n delete providers[providerID];\n continue;\n }\n log.info(() => ({ message: 'found', providerID }));\n }\n\n return {\n models,\n providers,\n sdk,\n realIdByKey,\n };\n });\n\n export async function list() {\n return state().then((state) => state.providers);\n }\n\n async function getSDK(provider: ModelsDev.Provider, model: ModelsDev.Model) {\n return (async () => {\n using _ = log.time('getSDK', {\n providerID: provider.id,\n });\n const s = await state();\n const pkg = model.provider?.npm ?? provider.npm ?? provider.id;\n const options = { ...s.providers[provider.id]?.options };\n if (\n pkg.includes('@ai-sdk/openai-compatible') &&\n options['includeUsage'] === undefined\n ) {\n options['includeUsage'] = true;\n }\n const key = Bun.hash.xxHash32(JSON.stringify({ pkg, options }));\n const existing = s.sdk.get(key);\n if (existing) return existing;\n\n let installedPath: string;\n if (!pkg.startsWith('file://')) {\n log.info(() => ({\n message: 'installing provider package',\n providerID: provider.id,\n pkg,\n version: 'latest',\n }));\n installedPath = await BunProc.install(pkg, 'latest');\n log.info(() => ({\n message: 'provider package installed successfully',\n providerID: provider.id,\n pkg,\n installedPath,\n }));\n } else {\n log.info(() => ({ message: 'loading local provider', pkg }));\n installedPath = pkg;\n }\n\n // The `google-vertex-anthropic` provider points to the `@ai-sdk/google-vertex` package.\n // Ref: https://github.com/sst/models.dev/blob/0a87de42ab177bebad0620a889e2eb2b4a5dd4ab/providers/google-vertex-anthropic/provider.toml\n // However, the actual export is at the subpath `@ai-sdk/google-vertex/anthropic`.\n // Ref: https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex#google-vertex-anthropic-provider-usage\n // In addition, Bun's dynamic import logic does not support subpath imports,\n // so we patch the import path to load directly from `dist`.\n const modPath =\n provider.id === 'google-vertex-anthropic'\n ? `${installedPath}/dist/anthropic/index.mjs`\n : installedPath;\n const mod = await import(modPath);\n if (options['timeout'] !== undefined && options['timeout'] !== null) {\n // Preserve custom fetch if it exists, wrap it with timeout logic\n const customFetch = options['fetch'];\n options['fetch'] = async (input: any, init?: BunFetchRequestInit) => {\n const { signal, ...rest } = init ?? {};\n\n const signals: AbortSignal[] = [];\n if (signal) signals.push(signal);\n if (options['timeout'] !== false)\n signals.push(AbortSignal.timeout(options['timeout']));\n\n const combined =\n signals.length > 1 ? AbortSignal.any(signals) : signals[0];\n\n const fetchFn = customFetch ?? fetch;\n return fetchFn(input, {\n ...rest,\n signal: combined,\n // @ts-ignore see here: https://github.com/oven-sh/bun/issues/16682\n timeout: false,\n });\n };\n }\n\n // Wrap fetch with retry logic for rate limit handling (HTTP 429)\n // This ensures the agent's time-based retry (7-week timeout) is respected\n // instead of the AI SDK's fixed retry count (3 attempts)\n // See: https://github.com/link-assistant/agent/issues/167\n const existingFetch = options['fetch'] ?? fetch;\n options['fetch'] = RetryFetch.wrap(existingFetch, {\n sessionID: provider.id,\n });\n\n const fn = mod[Object.keys(mod).find((key) => key.startsWith('create'))!];\n const loaded = fn({\n name: provider.id,\n ...options,\n });\n s.sdk.set(key, loaded);\n return loaded as SDK;\n })().catch((e) => {\n log.error(() => ({\n message: 'provider initialization failed',\n providerID: provider.id,\n pkg: model.provider?.npm ?? provider.npm ?? provider.id,\n error: e instanceof Error ? e.message : String(e),\n stack: e instanceof Error ? e.stack : undefined,\n cause: e instanceof Error && e.cause ? String(e.cause) : undefined,\n }));\n throw new InitError({ providerID: provider.id }, { cause: e });\n });\n }\n\n export async function getProvider(providerID: string) {\n return state().then((s) => s.providers[providerID]);\n }\n\n export async function getModel(providerID: string, modelID: string) {\n const key = `${providerID}/${modelID}`;\n const s = await state();\n if (s.models.has(key)) return s.models.get(key)!;\n\n log.info(() => ({ message: 'getModel', providerID, modelID }));\n\n const provider = s.providers[providerID];\n if (!provider) {\n // Check if this model ID might exist in another provider (e.g., OpenRouter)\n // This helps users who use formats like \"z-ai/glm-4.7\" instead of \"openrouter/z-ai/glm-4.7\"\n const fullModelKey = `${providerID}/${modelID}`;\n let suggestion: string | undefined;\n\n for (const [knownProviderID, knownProvider] of Object.entries(\n s.providers\n )) {\n if (knownProvider.info.models[fullModelKey]) {\n suggestion = `Did you mean: ${knownProviderID}/${fullModelKey}?`;\n break;\n }\n }\n\n throw new ModelNotFoundError({ providerID, modelID, suggestion });\n }\n\n // For synthetic providers (like link-assistant/echo and link-assistant/cache), skip SDK loading\n // These providers have a custom getModel function that creates the model directly\n const isSyntheticProvider =\n providerID === 'link-assistant' || providerID === 'link-assistant/cache';\n\n // For synthetic providers, we don't need model info from the database\n const info = isSyntheticProvider ? null : provider.info.models[modelID];\n if (!isSyntheticProvider && !info)\n throw new ModelNotFoundError({ providerID, modelID });\n\n try {\n const keyReal = `${providerID}/${modelID}`;\n const realID = s.realIdByKey.get(keyReal) ?? (info ? info.id : modelID);\n\n let language: LanguageModel;\n if (isSyntheticProvider && provider.getModel) {\n // For synthetic providers, call getModel directly without SDK\n language = await provider.getModel(null, realID, provider.options);\n } else {\n // For regular providers, load the SDK first\n const sdk = await getSDK(provider.info, info!);\n language = provider.getModel\n ? await provider.getModel(sdk, realID, provider.options)\n : sdk.languageModel(realID);\n }\n log.info(() => ({ message: 'found', providerID, modelID }));\n s.models.set(key, {\n providerID,\n modelID,\n info,\n language,\n npm: isSyntheticProvider\n ? provider.info.npm\n : (info.provider?.npm ?? provider.info.npm),\n });\n return {\n modelID,\n providerID,\n info,\n language,\n npm: info.provider?.npm ?? provider.info.npm,\n };\n } catch (e) {\n if (e instanceof NoSuchModelError)\n throw new ModelNotFoundError(\n {\n modelID: modelID,\n providerID,\n },\n { cause: e }\n );\n throw e;\n }\n }\n\n export async function getSmallModel(providerID: string) {\n const cfg = await Config.get();\n\n if (cfg.small_model) {\n const parsed = parseModel(cfg.small_model);\n return getModel(parsed.providerID, parsed.modelID);\n }\n\n const provider = await state().then((state) => state.providers[providerID]);\n if (!provider) return;\n let priority = [\n 'claude-haiku-4-5',\n 'claude-haiku-4.5',\n '3-5-haiku',\n '3.5-haiku',\n 'gemini-2.5-flash',\n 'gpt-5-nano',\n ];\n // claude-haiku-4.5 is considered a premium model in github copilot, we shouldn't use premium requests for title gen\n if (providerID === 'github-copilot') {\n priority = priority.filter((m) => m !== 'claude-haiku-4.5');\n }\n if (providerID === 'opencode' || providerID === 'local') {\n priority = [\n 'kimi-k2.5-free',\n 'minimax-m2.1-free',\n 'gpt-5-nano',\n 'glm-4.7-free',\n 'big-pickle',\n ];\n }\n if (providerID === 'kilo') {\n priority = [\n 'glm-5-free',\n 'glm-4.7-free',\n 'kimi-k2.5-free',\n 'minimax-m2.1-free',\n 'giga-potato-free',\n ];\n }\n for (const item of priority) {\n for (const model of Object.keys(provider.info.models)) {\n if (model.includes(item)) return getModel(providerID, model);\n }\n }\n }\n\n const priority = [\n 'glm-5-free',\n 'kimi-k2.5-free',\n 'minimax-m2.1-free',\n 'gpt-5-nano',\n 'glm-4.7-free',\n 'big-pickle',\n 'gpt-5',\n 'claude-sonnet-4',\n 'gemini-3-pro',\n ];\n export function sort(models: ModelsDev.Model[]) {\n return sortBy(\n models,\n [\n (model) => priority.findIndex((filter) => model.id.includes(filter)),\n 'desc',\n ],\n [(model) => (model.id.includes('latest') ? 0 : 1), 'asc'],\n [(model) => model.id, 'desc']\n );\n }\n\n export async function defaultModel() {\n const cfg = await Config.get();\n\n // In dry-run mode, use the echo provider by default\n // This allows testing round-trips and multi-turn conversations without API costs\n // @see https://github.com/link-assistant/agent/issues/89\n if (Flag.OPENCODE_DRY_RUN) {\n log.info('dry-run mode enabled, using echo provider as default');\n return {\n providerID: 'link-assistant',\n modelID: 'echo',\n };\n }\n\n if (cfg.model) return parseModel(cfg.model);\n\n // Prefer opencode provider if available\n const providers = await list().then((val) => Object.values(val));\n const opencodeProvider = providers.find((p) => p.info.id === 'opencode');\n if (opencodeProvider) {\n const [model] = sort(Object.values(opencodeProvider.info.models));\n if (model) {\n log.info(() => ({\n message: 'using opencode provider as default',\n provider: opencodeProvider.info.id,\n model: model.id,\n }));\n return {\n providerID: opencodeProvider.info.id,\n modelID: model.id,\n };\n }\n }\n\n // Fall back to any available provider if opencode is not available\n const provider = providers.find(\n (p) => !cfg.provider || Object.keys(cfg.provider).includes(p.info.id)\n );\n if (!provider) throw new Error('no providers found');\n const [model] = sort(Object.values(provider.info.models));\n if (!model) throw new Error('no models found');\n return {\n providerID: provider.info.id,\n modelID: model.id,\n };\n }\n\n export function parseModel(model: string) {\n const [providerID, ...rest] = model.split('/');\n return {\n providerID: providerID,\n modelID: rest.join('/'),\n };\n }\n\n /**\n * Resolve a short model name (without provider prefix) to the appropriate provider.\n * This function finds which provider should handle a model when no explicit provider is specified.\n *\n * Priority for free models:\n * 1. If model is uniquely available in one provider, use that provider\n * 2. If model is available in multiple providers, prioritize based on free model availability:\n * - kilo: glm-5-free, glm-4.7-free, minimax-m2.1-free, giga-potato-free (unique to Kilo)\n * - opencode: minimax-m2.5-free, big-pickle, gpt-5-nano (unique to OpenCode)\n * - SHARED: kimi-k2.5-free (available in both)\n * 3. For shared models like kimi-k2.5-free, prefer OpenCode first, then fall back to Kilo on rate limit\n *\n * @param modelID - Short model name without provider prefix\n * @returns Provider ID that should handle this model, or undefined if not found\n */\n export async function resolveShortModelName(\n modelID: string\n ): Promise<{ providerID: string; modelID: string } | undefined> {\n const s = await state();\n\n // Define model-to-provider mappings for free models\n // Models unique to Kilo (GLM models from Z.AI are only free on Kilo)\n const kiloUniqueModels = [\n 'glm-5-free',\n 'glm-4.7-free',\n 'giga-potato-free',\n 'trinity-large-preview',\n ];\n\n // Check if it's a Kilo-unique model\n if (kiloUniqueModels.includes(modelID)) {\n const kiloProvider = s.providers['kilo'];\n if (kiloProvider && kiloProvider.info.models[modelID]) {\n log.info(() => ({\n message: 'resolved short model name to kilo (unique)',\n modelID,\n }));\n return { providerID: 'kilo', modelID };\n }\n }\n\n // Check if model exists in any provider\n const matchingProviders: string[] = [];\n for (const [providerID, provider] of Object.entries(s.providers)) {\n if (provider.info.models[modelID]) {\n matchingProviders.push(providerID);\n }\n }\n\n if (matchingProviders.length === 0) {\n return undefined;\n }\n\n if (matchingProviders.length === 1) {\n const providerID = matchingProviders[0];\n log.info(() => ({\n message: 'resolved short model name (single match)',\n modelID,\n providerID,\n }));\n return { providerID, modelID };\n }\n\n // Multiple providers have this model - prefer OpenCode for shared free models\n // This follows the convention that opencode is the primary free provider\n if (matchingProviders.includes('opencode')) {\n log.info(() => ({\n message: 'resolved short model name to opencode (multiple providers)',\n modelID,\n availableProviders: matchingProviders,\n }));\n return { providerID: 'opencode', modelID };\n }\n\n // Fallback to first matching provider\n const providerID = matchingProviders[0];\n log.info(() => ({\n message: 'resolved short model name (fallback)',\n modelID,\n providerID,\n availableProviders: matchingProviders,\n }));\n return { providerID, modelID };\n }\n\n /**\n * Parse a model string that may or may not include a provider prefix.\n * If no provider is specified, attempts to resolve the short model name to the appropriate provider.\n *\n * Examples:\n * - \"kilo/glm-5-free\" -> { providerID: \"kilo\", modelID: \"glm-5-free\" }\n * - \"glm-5-free\" -> { providerID: \"kilo\", modelID: \"glm-5-free\" } (resolved)\n * - \"kimi-k2.5-free\" -> { providerID: \"opencode\", modelID: \"kimi-k2.5-free\" } (resolved)\n *\n * @param model - Model string with or without provider prefix\n * @returns Parsed provider ID and model ID\n */\n export async function parseModelWithResolution(\n model: string\n ): Promise<{ providerID: string; modelID: string }> {\n // Check if model includes a provider prefix\n if (model.includes('/')) {\n // Explicit provider specified - use it directly\n return parseModel(model);\n }\n\n // No provider prefix - try to resolve the short model name\n const resolved = await resolveShortModelName(model);\n if (resolved) {\n return resolved;\n }\n\n // Unable to resolve - fall back to default behavior (opencode provider)\n log.warn(() => ({\n message: 'unable to resolve short model name, using opencode as default',\n modelID: model,\n }));\n return {\n providerID: 'opencode',\n modelID: model,\n };\n }\n\n /**\n * Defines models that are available in multiple free providers.\n * When one provider hits rate limits, the system can try an alternative.\n *\n * Note: This is only used for models without explicit provider specification.\n * If user specifies \"kilo/kimi-k2.5-free\", no fallback will occur.\n */\n const SHARED_FREE_MODELS: Record<string, string[]> = {\n // kimi-k2.5-free is available in both OpenCode and Kilo\n 'kimi-k2.5-free': ['opencode', 'kilo'],\n // Note: minimax-m2.1-free is Kilo only, minimax-m2.5-free is OpenCode only\n // They are different model versions, not shared\n };\n\n /**\n * Get alternative providers for a model when the primary provider fails (e.g., rate limited).\n * This function returns a list of alternative providers that offer the same model.\n *\n * Note: This only returns alternatives for models without explicit provider specification.\n * If the original request had an explicit provider (like \"kilo/kimi-k2.5-free\"), this returns empty array.\n *\n * @param modelID - The model ID to find alternatives for\n * @param failedProviderID - The provider that failed\n * @param wasExplicitProvider - Whether the user explicitly specified the provider\n * @returns Array of alternative provider IDs that can serve this model\n */\n export async function getAlternativeProviders(\n modelID: string,\n failedProviderID: string,\n wasExplicitProvider: boolean\n ): Promise<string[]> {\n // If the user explicitly specified a provider, don't offer alternatives\n if (wasExplicitProvider) {\n log.info(() => ({\n message: 'no alternative providers (explicit provider specified)',\n modelID,\n failedProviderID,\n }));\n return [];\n }\n\n // Check if this is a shared model\n const sharedProviders = SHARED_FREE_MODELS[modelID];\n if (!sharedProviders) {\n // Not a shared model, no alternatives\n return [];\n }\n\n // Get alternative providers (excluding the failed one)\n const s = await state();\n const alternatives = sharedProviders.filter(\n (p) => p !== failedProviderID && s.providers[p]\n );\n\n if (alternatives.length > 0) {\n log.info(() => ({\n message: 'found alternative providers for rate-limited model',\n modelID,\n failedProviderID,\n alternatives,\n }));\n }\n\n return alternatives;\n }\n\n /**\n * Checks if an error indicates a rate limit issue.\n * @param error - The error to check\n * @returns true if the error indicates a rate limit\n */\n export function isRateLimitError(error: unknown): boolean {\n if (!(error instanceof Error)) return false;\n\n const message = error.message.toLowerCase();\n const name = error.name.toLowerCase();\n\n return (\n message.includes('rate limit') ||\n message.includes('ratelimit') ||\n message.includes('too many requests') ||\n message.includes('429') ||\n name.includes('ratelimit')\n );\n }\n\n export const ModelNotFoundError = NamedError.create(\n 'ProviderModelNotFoundError',\n z.object({\n providerID: z.string(),\n modelID: z.string(),\n suggestion: z.string().optional(),\n })\n );\n\n export const InitError = NamedError.create(\n 'ProviderInitError',\n z.object({\n providerID: z.string(),\n })\n );\n}\n", | |
| "numLines": 1612, | |
| "startLine": 1, | |
| "totalLines": 1612 | |
| } | |
| } | |
| } | |
| [2026-02-14T11:25:52.032Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01XCwDZ3a3vjoG2gHYSy3yCG", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": "Now I have the full picture. Let me also look at the ModelsDev provider (fetched from models.dev) to understand what the \"opencode\" provider's base URL is." | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 21488, | |
| "cache_read_input_tokens": 78132, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 21488 | |
| }, | |
| "output_tokens": 1, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "ea77e324-d3c5-425d-8a51-d5ba3feb8ff2", | |
| "uuid": "f8f77fe9-de54-4716-9c4d-6c77035b4a41" | |
| } | |
| [2026-02-14T11:25:53.206Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01XCwDZ3a3vjoG2gHYSy3yCG", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01TTph97CZNDN35C84zncpi4", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/gh-issue-solver-1771068195706/js/src/provider/models.ts" | |
| }, | |
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| "content": " 1→import { Global } from '../global';\n 2→import { Log } from '../util/log';\n 3→import path from 'path';\n 4→import z from 'zod';\n 5→import { data } from './models-macro';\n 6→\n 7→export namespace ModelsDev {\n 8→ const log = Log.create({ service: 'models.dev' });\n 9→ const filepath = path.join(Global.Path.cache, 'models.json');\n 10→\n 11→ export const Model = z\n 12→ .object({\n 13→ id: z.string(),\n 14→ name: z.string(),\n 15→ release_date: z.string(),\n 16→ attachment: z.boolean(),\n 17→ reasoning: z.boolean(),\n 18→ temperature: z.boolean(),\n 19→ tool_call: z.boolean(),\n 20→ cost: z.object({\n 21→ input: z.number(),\n 22→ output: z.number(),\n 23→ cache_read: z.number().optional(),\n 24→ cache_write: z.number().optional(),\n 25→ context_over_200k: z\n 26→ .object({\n 27→ input: z.number(),\n 28→ output: z.number(),\n 29→ cache_read: z.number().optional(),\n 30→ cache_write: z.number().optional(),\n 31→ })\n 32→ .optional(),\n 33→ }),\n 34→ limit: z.object({\n 35→ context: z.number(),\n 36→ output: z.number(),\n 37→ }),\n 38→ modalities: z\n 39→ .object({\n 40→ input: z.array(z.enum(['text', 'audio', 'image', 'video', 'pdf'])),\n 41→ output: z.array(z.enum(['text', 'audio', 'image', 'video', 'pdf'])),\n 42→ })\n 43→ .optional(),\n 44→ experimental: z.boolean().optional(),\n 45→ status: z.enum(['alpha', 'beta', 'deprecated']).optional(),\n 46→ options: z.record(z.string(), z.any()),\n 47→ headers: z.record(z.string(), z.string()).optional(),\n 48→ provider: z.object({ npm: z.string() }).optional(),\n 49→ })\n 50→ .meta({\n 51→ ref: 'Model',\n 52→ });\n 53→ export type Model = z.infer<typeof Model>;\n 54→\n 55→ export const Provider = z\n 56→ .object({\n 57→ api: z.string().optional(),\n 58→ name: z.string(),\n 59→ env: z.array(z.string()),\n 60→ id: z.string(),\n 61→ npm: z.string().optional(),\n 62→ models: z.record(z.string(), Model),\n 63→ })\n 64→ .meta({\n 65→ ref: 'Provider',\n 66→ });\n 67→\n 68→ export type Provider = z.infer<typeof Provider>;\n 69→\n 70→ export async function get() {\n 71→ refresh();\n 72→ const file = Bun.file(filepath);\n 73→ const result = await file.json().catch(() => {});\n 74→ if (result) return result as Record<string, Provider>;\n 75→ const json = await data();\n 76→ return JSON.parse(json) as Record<string, Provider>;\n 77→ }\n 78→\n 79→ export async function refresh() {\n 80→ const file = Bun.file(filepath);\n 81→ log.info(() => ({ message: 'refreshing', file }));\n 82→ const result = await fetch('https://models.dev/api.json', {\n 83→ headers: {\n 84→ 'User-Agent': 'agent-cli/1.0.0',\n 85→ },\n 86→ signal: AbortSignal.timeout(10 * 1000),\n 87→ }).catch((e) => {\n 88→ log.error(() => ({\n 89→ message: 'Failed to fetch models.dev',\n 90→ error: e,\n 91→ }));\n 92→ });\n 93→ if (result && result.ok) await Bun.write(file, await result.text());\n 94→ }\n 95→}\n 96→\n 97→setInterval(() => ModelsDev.refresh(), 60 * 1000 * 60).unref();\n 98→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "text": "Now let me understand the critical question - what is the \"opencode\" provider's base URL from models.dev? This is fetched dynamically. Let me search for the actual base URL in the logs." | |
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When you execute commands, always save their logs to files for easier reading if the output becomes large.\\n - When running commands, do not set a timeout yourself — let them run as long as needed.\\n - When running sudo commands (especially package installations), always run them in the background to avoid timeout issues.\\n - When CI is failing, make sure you download the logs locally and carefully investigate them.\\n - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines.\\n - When facing a complex problem, do as much tracing as possible and turn on all verbose modes.\\n - When you create debug, test, or example/experiment scripts for fixing, always keep them in an ./examples and/or ./experiments folders so you can reuse them later.\\n - When testing your assumptions, use the experiment scripts, and add it to ./experiments folder.\\n - When your experiments can show real world use case of the software, add it to ./examples folder.\\n - When you face something extremely hard, use divide and conquer — it always helps.\\nInitial research.\\n - When you start, make sure you create detailed plan for yourself and follow your todo list step by step, make sure that as many points from these guidelines are added to your todo list to keep track of everything that can help you solve the issue with highest possible quality.\\n - When you read issue, read all details and comments thoroughly.\\n - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, use WebFetch tool to download the image first, then use Read tool to view and analyze it.\\n - When you need issue details, use gh issue view https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761.\\n - When you need related code, use gh search code --owner Jhon-Crow [keywords].\\n - When you need repo context, read files in your working directory.\\n - When you study related work, study the most recent related pull requests.\\n - When issue is not defined enough, write a comment to ask clarifying questions.\\n - When accessing GitHub Gists, use gh gist view command instead of direct URL fetching.\\n - When you are fixing a bug, please make sure you first find the actual root cause, do as many experiments as needed.\\n - When you are fixing a bug and code does not have enough tracing/logs, add them and make sure they stay in the code, but are switched off by default.\\n - When you need comments on a pull request, note that GitHub has THREE different comment types with different API endpoints:\\n 1. PR review comments (inline code comments): gh api repos/Jhon-Crow/godot-topdown-MVP/pulls/778/comments --paginate\\n 2. PR conversation comments (general discussion): gh api repos/Jhon-Crow/godot-topdown-MVP/issues/778/comments --paginate\\n 3. PR reviews (approve/request changes): gh api repos/Jhon-Crow/godot-topdown-MVP/pulls/778/reviews --paginate\\n IMPORTANT: The command \\\"gh pr view --json comments\\\" ONLY returns conversation comments and misses review comments!\\n - When you need latest comments on issue, use gh api repos/Jhon-Crow/godot-topdown-MVP/issues/761/comments --paginate.\\nSolution development and testing.\\n - When issue is solvable, implement code with tests.\\n - When coding, each atomic step that can be useful by itself should be commited to the pull request's branch, meaning if work will be interrupted by any reason parts of solution will still be kept intact and safe in pull request.\\n - When you test:\\n start from testing of small functions using separate scripts;\\n write unit tests with mocks for easy and quick start.\\n - When you test integrations, use existing framework.\\n - When you test solution draft, include automated checks in pr.\\n - When issue is unclear, write comment on issue asking questions.\\n - When you encounter any problems that you unable to solve yourself, write a comment to the pull request asking for help.\\n - When you need human help, use gh pr comment 778 --body \\\"your message\\\" to comment on existing PR.\\nPreparing pull request.\\n - When you code, follow contributing guidelines.\\n - When you commit, write clear message.\\n - When you need examples of style, use gh pr list --repo Jhon-Crow/godot-topdown-MVP --state merged --search [keywords].\\n - When you open pr, describe solution draft and include tests.\\n - When there is a package with version and GitHub Actions workflows for automatic release, update the version in your pull request to prepare for next release.\\n - When you update existing pr 778, use gh pr edit to modify title and description.\\n - When you finalize the pull request:\\n check that pull request title and description are updated (the PR may start with a [WIP] prefix and placeholder description that should be replaced with actual title and description of the changes),\\n follow style from merged prs for code, title, and description,\\n make sure no uncommitted changes corresponding to the original requirements are left behind,\\n make sure the default branch is merged to the pull request's branch,\\n make sure all CI checks passing if they exist before you finish,\\n check for latest comments on the issue and pull request to ensure no recent feedback was missed,\\n double-check that all changes in the pull request answer to original requirements of the issue,\\n make sure no new bugs are introduced in pull request by carefully reading gh pr diff,\\n make sure no previously existing features were removed without an explicit request from users via the issue description, issue comments, and/or pull request comments.\\n - When you finish implementation, use gh pr ready 778.\\nWorkflow and collaboration.\\n - When you check branch, verify with git branch --show-current.\\n - When you push, push only to branch issue-761-a0caf45f6eba.\\n - When you finish, create a pull request from branch issue-761-a0caf45f6eba.\\n - When pr 778 already exists for this branch, update it instead of creating new one.\\n - When you organize workflow, use pull requests instead of direct merges to default branch (main or master).\\n - When you manage commits, preserve commit history for later analysis.\\n - When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed.\\n - When you face conflict that you cannot resolve yourself, ask for help.\\n - When you collaborate, respect branch protections by working only on issue-761-a0caf45f6eba.\\n - When you mention result, include pull request url or comment url.\\n - When you need to create pr, remember pr 778 already exists for this branch.\\nSelf review.\\n - When you check your solution draft, run all tests locally.\\n - When you check your solution draft, verify git status shows a clean working tree with no uncommitted changes.\\n - When you compare with repo style, use gh pr diff [number].\\n - When you finalize, confirm code, tests, and description are consistent.\\nGitHub CLI command patterns.\\n - IMPORTANT: Always use --paginate flag when fetching lists from GitHub API to ensure all results are returned (GitHub returns max 30 per page by default).\\n - When listing PR review comments (inline code comments), use gh api repos/OWNER/REPO/pulls/NUMBER/comments --paginate.\\n - When listing PR conversation comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate.\\n - When listing PR reviews, use gh api repos/OWNER/REPO/pulls/NUMBER/reviews --paginate.\\n - When listing issue comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate.\\n - When adding PR comment, use gh pr comment NUMBER --body \\\"text\\\" --repo OWNER/REPO.\\n - When adding issue comment, use gh issue comment NUMBER --body \\\"text\\\" --repo OWNER/REPO.\\n - When viewing PR details, use gh pr view NUMBER --repo OWNER/REPO.\\n - When filtering with jq, use gh api repos/Jhon-Crow/godot-topdown-MVP/pulls/778/comments --paginate --jq 'reverse | .[0:5]'.\\nIssue to solve: https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761\\nYour prepared branch: issue-761-a0caf45f6eba\\nYour prepared working directory: /tmp/gh-issue-solver-1771057721538\\nYour prepared Pull Request: https://github.com/Jhon-Crow/godot-topdown-MVP/pull/778\\nYour forked repository: konard/Jhon-Crow-godot-topdown-MVP\\nOriginal repository (upstream): Jhon-Crow/godot-topdown-MVP\\nGitHub Actions on your fork: https://github.com/konard/Jhon-Crow-godot-topdown-MVP/actions?query=branch%3Aissue-761-a0caf45f6eba\\nProceed.\",\n 402→[2026-02-14T08:29:06.560Z] [INFO] \"parsed\": {\n 403→[2026-02-14T08:29:06.560Z] [INFO] \"message\": \"You are AI issue solver using @link-assistant/agent.\\nGeneral guidelines.\\n - When you execute commands, always save their logs to files for easier reading if the output becomes large.\\n - When running commands, do not set a timeout yourself — let them run as long as needed.\\n - When running sudo commands (especially package installations), always run them in the background to avoid timeout issues.\\n - When CI is failing, make sure you download the logs locally and carefully investigate them.\\n - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines.\\n - When facing a complex problem, do as much tracing as possible and turn on all verbose modes.\\n - When you create debug, test, or example/experiment scripts for fixing, always keep them in an ./examples and/or ./experiments folders so you can reuse them later.\\n - When testing your assumptions, use the experiment scripts, and add it to ./experiments folder.\\n - When your experiments can show real world use case of the software, add it to ./examples folder.\\n - When you face something extremely hard, use divide and conquer — it always helps.\\nInitial research.\\n - When you start, make sure you create detailed plan for yourself and follow your todo list step by step, make sure that as many points from these guidelines are added to your todo list to keep track of everything that can help you solve the issue with highest possible quality.\\n - When you read issue, read all details and comments thoroughly.\\n - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, use WebFetch tool to download the image first, then use Read tool to view and analyze it.\\n - When you need issue details, use gh issue view https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761.\\n - When you need related code, use gh search code --owner Jhon-Crow [keywords].\\n - When you need repo context, read files in your working directory.\\n - When you study related work, study the most recent related pull requests.\\n - When issue is not defined enough, write a comment to ask clarifying questions.\\n - When accessing GitHub Gists, use gh gist view command instead of direct URL fetching.\\n - When you are fixing a bug, please make sure you first find the actual root cause, do as many experiments as needed.\\n - When you are fixing a bug and code does not have enough tracing/logs, add them and make sure they stay in the code, but are switched off by default.\\n - When you need comments on a pull request, note that GitHub has THREE different comment types with different API endpoints:\\n 1. PR review comments (inline code comments): gh api repos/Jhon-Crow/godot-topdown-MVP/pulls/778/comments --paginate\\n 2. PR conversation comments (general discussion): gh api repos/Jhon-Crow/godot-topdown-MVP/issues/778/comments --paginate\\n 3. PR reviews (approve/request changes): gh api repos/Jhon-Crow/godot-topdown-MVP/pulls/778/reviews --paginate\\n IMPORTANT: The command \\\"gh pr view --json comments\\\" ONLY returns conversation comments and misses review comments!\\n - When you need latest comments on issue, use gh api repos/Jhon-Crow/godot-topdown-MVP/issues/761/comments --paginate.\\nSolution development and testing.\\n - When issue is solvable, implement code with tests.\\n - When coding, each atomic step that can be useful by itself should be commited to the pull request's branch, meaning if work will be interrupted by any reason parts of solution will still be kept intact and safe in pull request.\\n - When you test:\\n start from testing of small functions using separate scripts;\\n write unit tests with mocks for easy and quick start.\\n - When you test integrations, use existing framework.\\n - When you test solution draft, include automated checks in pr.\\n - When issue is unclear, write comment on issue asking questions.\\n - When you encounter any problems that you unable to solve yourself, write a comment to the pull request asking for help.\\n - When you need human help, use gh pr comment 778 --body \\\"your message\\\" to comment on existing PR.\\nPreparing pull request.\\n - When you code, follow contributing guidelines.\\n - When you commit, write clear message.\\n - When you need examples of style, use gh pr list --repo Jhon-Crow/godot-topdown-MVP --state merged --search [keywords].\\n - When you open pr, describe solution draft and include tests.\\n - When there is a package with version and GitHub Actions workflows for automatic release, update the version in your pull request to prepare for next release.\\n - When you update existing pr 778, use gh pr edit to modify title and description.\\n - When you finalize the pull request:\\n check that pull request title and description are updated (the PR may start with a [WIP] prefix and placeholder description that should be replaced with actual title and description of the changes),\\n follow style from merged prs for code, title, and description,\\n make sure no uncommitted changes corresponding to the original requirements are left behind,\\n make sure the default branch is merged to the pull request's branch,\\n make sure all CI checks passing if they exist before you finish,\\n check for latest comments on the issue and pull request to ensure no recent feedback was missed,\\n double-check that all changes in the pull request answer to original requirements of the issue,\\n make sure no new bugs are introduced in pull request by carefully reading gh pr diff,\\n make sure no previously existing features were removed without an explicit request from users via the issue description, issue comments, and/or pull request comments.\\n - When you finish implementation, use gh pr ready 778.\\nWorkflow and collaboration.\\n - When you check branch, verify with git branch --show-current.\\n - When you push, push only to branch issue-761-a0caf45f6eba.\\n - When you finish, create a pull request from branch issue-761-a0caf45f6eba.\\n - When pr 778 already exists for this branch, update it instead of creating new one.\\n - When you organize workflow, use pull requests instead of direct merges to default branch (main or master).\\n - When you manage commits, preserve commit history for later analysis.\\n - When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed.\\n - When you face conflict that you cannot resolve yourself, ask for help.\\n - When you collaborate, respect branch protections by working only on issue-761-a0caf45f6eba.\\n - When you mention result, include pull request url or comment url.\\n - When you need to create pr, remember pr 778 already exists for this branch.\\nSelf review.\\n - When you check your solution draft, run all tests locally.\\n - When you check your solution draft, verify git status shows a clean working tree with no uncommitted changes.\\n - When you compare with repo style, use gh pr diff [number].\\n - When you finalize, confirm code, tests, and description are consistent.\\nGitHub CLI command patterns.\\n - IMPORTANT: Always use --paginate flag when fetching lists from GitHub API to ensure all results are returned (GitHub returns max 30 per page by default).\\n - When listing PR review comments (inline code comments), use gh api repos/OWNER/REPO/pulls/NUMBER/comments --paginate.\\n - When listing PR conversation comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate.\\n - When listing PR reviews, use gh api repos/OWNER/REPO/pulls/NUMBER/reviews --paginate.\\n - When listing issue comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate.\\n - When adding PR comment, use gh pr comment NUMBER --body \\\"text\\\" --repo OWNER/REPO.\\n - When adding issue comment, use gh issue comment NUMBER --body \\\"text\\\" --repo OWNER/REPO.\\n - When viewing PR details, use gh pr view NUMBER --repo OWNER/REPO.\\n - When filtering with jq, use gh api repos/Jhon-Crow/godot-topdown-MVP/pulls/778/comments --paginate --jq 'reverse | .[0:5]'.\\nIssue to solve: https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761\\nYour prepared branch: issue-761-a0caf45f6eba\\nYour prepared working directory: /tmp/gh-issue-solver-1771057721538\\nYour prepared Pull Request: https://github.com/Jhon-Crow/godot-topdown-MVP/pull/778\\nYour forked repository: konard/Jhon-Crow-godot-topdown-MVP\\nOriginal repository (upstream): Jhon-Crow/godot-topdown-MVP\\nGitHub Actions on your fork: https://github.com/konard/Jhon-Crow-godot-topdown-MVP/actions?query=branch%3Aissue-761-a0caf45f6eba\\nProceed.\"\n 404→[2026-02-14T08:29:06.561Z] [INFO] },\n 405→[2026-02-14T08:29:06.561Z] [INFO] \"format\": \"text\"\n 406→[2026-02-14T08:29:06.561Z] [INFO] }\n 407→[2026-02-14T08:29:06.561Z] [INFO] {\n 408→[2026-02-14T08:29:06.561Z] [INFO] \"type\": \"*\",\n 409→[2026-02-14T08:29:06.562Z] [INFO] \"level\": \"info\",\n 410→[2026-02-14T08:29:06.562Z] [INFO] \"timestamp\": \"2026-02-14T08:29:06.559Z\",\n 411→[2026-02-14T08:29:06.562Z] [INFO] \"service\": \"bus\",\n 412→[2026-02-14T08:29:06.562Z] [INFO] \"message\": \"subscribing\"\n 413→[2026-02-14T08:29:06.562Z] [INFO] }\n 414→[2026-02-14T08:29:06.563Z] [INFO] {\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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When you execute commands, always save their logs to files for easier reading if the output becomes large.\\n - When running commands, do not set a timeout yourself — let them run as long as needed.\\n - When running sudo commands (especially package installations), always run them in the background to avoid timeout issues.\\n - When CI is failing, make sure you download the logs locally and carefully investigate them.\\n - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines.\\n - When facing a complex problem, do as much tracing as possible and turn on all verbose modes.\\n - When you create debug, test, or example/experiment scripts for fixing, always keep them in an ./examples and/or ./experiments folders so you can reuse them later.\\n - When testing your assumptions, use the experiment scripts, and add it to ./experiments folder.\\n - When your experiments can show real world use case of the software, add it to ./examples folder.\\n - When you face something extremely hard, use divide and conquer — it always helps.\\nInitial research.\\n - When you start, make sure you create detailed plan for yourself and follow your todo list step by step, make sure that as many points from these guidelines are added to your todo list to keep track of everything that can help you solve the issue with highest possible quality.\\n - When you read issue, read all details and comments thoroughly.\\n - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, use WebFetch tool to download the image first, then use Read tool to view and analyze it.\\n - When you need issue details, use gh issue view https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761.\\n - When you need related code, use gh search code --owner Jhon-Crow [keywords].\\n - When you need repo context, read files in your working directory.\\n - When you study related work, study the most recent related pull requests.\\n - When issue is not defined enough, write a comment to ask clarifying questions.\\n - When accessing GitHub Gists, use gh gist view command instead of direct URL fetching.\\n - When you are fixing a bug, please make sure you first find the actual root cause, do as many experiments as needed.\\n - When you are fixing a bug and code does not have enough tracing/logs, add them and make sure they stay in the code, but are switched off by default.\\n - When you need comments on a pull request, note that GitHub has THREE different comment types with different API endpoints:\\n 1. PR review comments (inline code comments): gh api repos/Jhon-Crow/godot-topdown-MVP/pulls/778/comments --paginate\\n 2. PR conversation comments (general discussion): gh api repos/Jhon-Crow/godot-topdown-MVP/issues/778/comments --paginate\\n 3. PR reviews (approve/request changes): gh api repos/Jhon-Crow/godot-topdown-MVP/pulls/778/reviews --paginate\\n IMPORTANT: The command \\\"gh pr view --json comments\\\" ONLY returns conversation comments and misses review comments!\\n - When you need latest comments on issue, use gh api repos/Jhon-Crow/godot-topdown-MVP/issues/761/comments --paginate.\\nSolution development and testing.\\n - When issue is solvable, implement code with tests.\\n - When coding, each atomic step that can be useful by itself should be commited to the pull request's branch, meaning if work will be interrupted by any reason parts of solution will still be kept intact and safe in pull request.\\n - When you test:\\n start from testing of small functions using separate scripts;\\n write unit tests with mocks for easy and quick start.\\n - When you test integrations, use existing framework.\\n - When you test solution draft, include automated checks in pr.\\n - When issue is unclear, write comment on issue asking questions.\\n - When you encounter any problems that you unable to solve yourself, write a comment to the pull request asking for help.\\n - When you need human help, use gh pr comment 778 --body \\\"your message\\\" to comment on existing PR.\\nPreparing pull request.\\n - When you code, follow contributing guidelines.\\n - When you commit, write clear message.\\n - When you need examples of style, use gh pr list --repo Jhon-Crow/godot-topdown-MVP --state merged --search [keywords].\\n - When you open pr, describe solution draft and include tests.\\n - When there is a package with version and GitHub Actions workflows for automatic release, update the version in your pull request to prepare for next release.\\n - When you update existing pr 778, use gh pr edit to modify title and description.\\n - When you finalize the pull request:\\n check that pull request title and description are updated (the PR may start with a [WIP] prefix and placeholder description that should be replaced with actual title and description of the changes),\\n follow style from merged prs for code, title, and description,\\n make sure no uncommitted changes corresponding to the original requirements are left behind,\\n make sure the default branch is merged to the pull request's branch,\\n make sure all CI checks passing if they exist before you finish,\\n check for latest comments on the issue and pull request to ensure no recent feedback was missed,\\n double-check that all changes in the pull request answer to original requirements of the issue,\\n make sure no new bugs are introduced in pull request by carefully reading gh pr diff,\\n make sure no previously existing features were removed without an explicit request from users via the issue description, issue comments, and/or pull request comments.\\n - When you finish implementation, use gh pr ready 778.\\nWorkflow and collaboration.\\n - When you check branch, verify with git branch --show-current.\\n - When you push, push only to branch issue-761-a0caf45f6eba.\\n - When you finish, create a pull request from branch issue-761-a0caf45f6eba.\\n - When pr 778 already exists for this branch, update it instead of creating new one.\\n - When you organize workflow, use pull requests instead of direct merges to default branch (main or master).\\n - When you manage commits, preserve commit history for later analysis.\\n - When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed.\\n - When you face conflict that you cannot resolve yourself, ask for help.\\n - When you collaborate, respect branch protections by working only on issue-761-a0caf45f6eba.\\n - When you mention result, include pull request url or comment url.\\n - When you need to create pr, remember pr 778 already exists for this branch.\\nSelf review.\\n - When you check your solution draft, run all tests locally.\\n - When you check your solution draft, verify git status shows a clean working tree with no uncommitted changes.\\n - When you compare with repo style, use gh pr diff [number].\\n - When you finalize, confirm code, tests, and description are consistent.\\nGitHub CLI command patterns.\\n - IMPORTANT: Always use --paginate flag when fetching lists from GitHub API to ensure all results are returned (GitHub returns max 30 per page by default).\\n - When listing PR review comments (inline code comments), use gh api repos/OWNER/REPO/pulls/NUMBER/comments --paginate.\\n - When listing PR conversation comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate.\\n - When listing PR reviews, use gh api repos/OWNER/REPO/pulls/NUMBER/reviews --paginate.\\n - When listing issue comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate.\\n - When adding PR comment, use gh pr comment NUMBER --body \\\"text\\\" --repo OWNER/REPO.\\n - When adding issue comment, use gh issue comment NUMBER --body \\\"text\\\" --repo OWNER/REPO.\\n - When viewing PR details, use gh pr view NUMBER --repo OWNER/REPO.\\n - When filtering with jq, use gh api repos/Jhon-Crow/godot-topdown-MVP/pulls/778/comments --paginate --jq 'reverse | .[0:5]'.\\nIssue to solve: https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761\\nYour prepared branch: issue-761-a0caf45f6eba\\nYour prepared working directory: /tmp/gh-issue-solver-1771057721538\\nYour prepared Pull Request: https://github.com/Jhon-Crow/godot-topdown-MVP/pull/778\\nYour forked repository: konard/Jhon-Crow-godot-topdown-MVP\\nOriginal repository (upstream): Jhon-Crow/godot-topdown-MVP\\nGitHub Actions on your fork: https://github.com/konard/Jhon-Crow-godot-topdown-MVP/actions?query=branch%3Aissue-761-a0caf45f6eba\\nProceed.\",\n[2026-02-14T08:29:06.560Z] [INFO] \"parsed\": {\n[2026-02-14T08:29:06.560Z] [INFO] \"message\": \"You are AI issue solver using @link-assistant/agent.\\nGeneral guidelines.\\n - When you execute commands, always save their logs to files for easier reading if the output becomes large.\\n - When running commands, do not set a timeout yourself — let them run as long as needed.\\n - When running sudo commands (especially package installations), always run them in the background to avoid timeout issues.\\n - When CI is failing, make sure you download the logs locally and carefully investigate them.\\n - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines.\\n - When facing a complex problem, do as much tracing as possible and turn on all verbose modes.\\n - When you create debug, test, or example/experiment scripts for fixing, always keep them in an ./examples and/or ./experiments folders so you can reuse them later.\\n - When testing your assumptions, use the experiment scripts, and add it to ./experiments folder.\\n - When your experiments can show real world use case of the software, add it to ./examples folder.\\n - When you face something extremely hard, use divide and conquer — it always helps.\\nInitial research.\\n - When you start, make sure you create detailed plan for yourself and follow your todo list step by step, make sure that as many points from these guidelines are added to your todo list to keep track of everything that can help you solve the issue with highest possible quality.\\n - When you read issue, read all details and comments thoroughly.\\n - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, use WebFetch tool to download the image first, then use Read tool to view and analyze it.\\n - When you need issue details, use gh issue view https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761.\\n - When you need related code, use gh search code --owner Jhon-Crow [keywords].\\n - When you need repo context, read files in your working directory.\\n - When you study related work, study the most recent related pull requests.\\n - When issue is not defined enough, write a comment to ask clarifying questions.\\n - When accessing GitHub Gists, use gh gist view command instead of direct URL fetching.\\n - When you are fixing a bug, please make sure you first find the actual root cause, do as many experiments as needed.\\n - When you are fixing a bug and code does not have enough tracing/logs, add them and make sure they stay in the code, but are switched off by default.\\n - When you need comments on a pull request, note that GitHub has THREE different comment types with different API endpoints:\\n 1. PR review comments (inline code comments): gh api repos/Jhon-Crow/godot-topdown-MVP/pulls/778/comments --paginate\\n 2. PR conversation comments (general discussion): gh api repos/Jhon-Crow/godot-topdown-MVP/issues/778/comments --paginate\\n 3. PR reviews (approve/request changes): gh api repos/Jhon-Crow/godot-topdown-MVP/pulls/778/reviews --paginate\\n IMPORTANT: The command \\\"gh pr view --json comments\\\" ONLY returns conversation comments and misses review comments!\\n - When you need latest comments on issue, use gh api repos/Jhon-Crow/godot-topdown-MVP/issues/761/comments --paginate.\\nSolution development and testing.\\n - When issue is solvable, implement code with tests.\\n - When coding, each atomic step that can be useful by itself should be commited to the pull request's branch, meaning if work will be interrupted by any reason parts of solution will still be kept intact and safe in pull request.\\n - When you test:\\n start from testing of small functions using separate scripts;\\n write unit tests with mocks for easy and quick start.\\n - When you test integrations, use existing framework.\\n - When you test solution draft, include automated checks in pr.\\n - When issue is unclear, write comment on issue asking questions.\\n - When you encounter any problems that you unable to solve yourself, write a comment to the pull request asking for help.\\n - When you need human help, use gh pr comment 778 --body \\\"your message\\\" to comment on existing PR.\\nPreparing pull |
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