Created
February 14, 2026 11:11
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Solution draft log for https://github.com/link-assistant/agent/pull/170
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| # Solve.mjs Log - 2026-02-14T10:47:06.102Z | |
| [2026-02-14T10:47:06.102Z] [INFO] 📁 Log file: /home/hive/solve-2026-02-14T10-47-06-101Z.log | |
| [2026-02-14T10:47:06.104Z] [INFO] (All output will be logged here) | |
| [2026-02-14T10:47:06.604Z] [INFO] | |
| [2026-02-14T10:47:06.605Z] [INFO] 🚀 solve v1.23.1 | |
| [2026-02-14T10:47:06.605Z] [INFO] 🔧 Raw command executed: | |
| [2026-02-14T10:47:06.605Z] [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 --attach-logs --verbose --no-tool-check --auto-resume-on-limit-reset --tokens-budget-stats | |
| [2026-02-14T10:47:06.606Z] [INFO] | |
| [2026-02-14T10:47:06.619Z] [INFO] | |
| [2026-02-14T10:47:06.619Z] [WARNING] ⚠️ SECURITY WARNING: --attach-logs is ENABLED | |
| [2026-02-14T10:47:06.620Z] [INFO] | |
| [2026-02-14T10:47:06.620Z] [INFO] This option will upload the complete solution draft log file to the Pull Request. | |
| [2026-02-14T10:47:06.620Z] [INFO] The log may contain sensitive information such as: | |
| [2026-02-14T10:47:06.620Z] [INFO] • API keys, tokens, or secrets | |
| [2026-02-14T10:47:06.621Z] [INFO] • File paths and directory structures | |
| [2026-02-14T10:47:06.621Z] [INFO] • Command outputs and error messages | |
| [2026-02-14T10:47:06.621Z] [INFO] • Internal system information | |
| [2026-02-14T10:47:06.621Z] [INFO] | |
| [2026-02-14T10:47:06.621Z] [INFO] ⚠️ DO NOT use this option with public repositories or if the log | |
| [2026-02-14T10:47:06.622Z] [INFO] might contain sensitive data that should not be shared publicly. | |
| [2026-02-14T10:47:06.622Z] [INFO] | |
| [2026-02-14T10:47:06.622Z] [INFO] Continuing in 5 seconds... (Press Ctrl+C to abort) | |
| [2026-02-14T10:47:06.622Z] [INFO] | |
| [2026-02-14T10:47:11.628Z] [INFO] | |
| [2026-02-14T10:47:11.651Z] [INFO] 💾 Disk space check: 54588MB available (2048MB required) ✅ | |
| [2026-02-14T10:47:11.653Z] [INFO] 🧠 Memory check: 10142MB available, swap: 4095MB (0MB used), total: 14237MB (256MB required) ✅ | |
| [2026-02-14T10:47:11.670Z] [INFO] ⏩ Skipping tool connection validation (dry-run mode or skip-tool-connection-check enabled) | |
| [2026-02-14T10:47:11.670Z] [INFO] ⏩ Skipping GitHub authentication check (dry-run mode or skip-tool-connection-check enabled) | |
| [2026-02-14T10:47:11.671Z] [INFO] 📋 URL validation: | |
| [2026-02-14T10:47:11.671Z] [INFO] Input URL: https://github.com/link-assistant/agent/pull/170 | |
| [2026-02-14T10:47:11.671Z] [INFO] Is Issue URL: false | |
| [2026-02-14T10:47:11.671Z] [INFO] Is PR URL: true | |
| [2026-02-14T10:47:11.671Z] [INFO] 🔍 Checking repository access for auto-fork... | |
| [2026-02-14T10:47:12.674Z] [INFO] Repository visibility: public | |
| [2026-02-14T10:47:12.675Z] [INFO] ✅ Auto-fork: Write access detected to public repository, working directly on repository | |
| [2026-02-14T10:47:12.676Z] [INFO] 🔍 Checking repository write permissions... | |
| [2026-02-14T10:47:13.071Z] [INFO] ✅ Repository write access: Confirmed | |
| [2026-02-14T10:47:13.463Z] [INFO] Repository visibility: public | |
| [2026-02-14T10:47:13.464Z] [INFO] Auto-cleanup default: false (repository is public) | |
| [2026-02-14T10:47:13.465Z] [INFO] 🔄 Continue mode: Working with PR #170 | |
| [2026-02-14T10:47:13.465Z] [INFO] Continue mode activated: PR URL provided directly | |
| [2026-02-14T10:47:13.465Z] [INFO] PR Number set to: 170 | |
| [2026-02-14T10:47:13.466Z] [INFO] Will fetch PR details and linked issue | |
| [2026-02-14T10:47:13.890Z] [INFO] 📝 PR branch: issue-169-ed3644c88604 | |
| [2026-02-14T10:47:13.891Z] [INFO] 🔗 Found linked issue #169 | |
| [2026-02-14T10:47:13.892Z] [INFO] | |
| Creating temporary directory: /tmp/gh-issue-solver-1771066033892 | |
| [2026-02-14T10:47:13.895Z] [INFO] | |
| 📥 Cloning repository: link-assistant/agent | |
| [2026-02-14T10:47:14.998Z] [INFO] ✅ Cloned to: /tmp/gh-issue-solver-1771066033892 | |
| [2026-02-14T10:47:15.162Z] [INFO] | |
| 📌 Default branch: main | |
| [2026-02-14T10:47:15.240Z] [INFO] | |
| 🔄 Checking out PR branch: issue-169-ed3644c88604 | |
| [2026-02-14T10:47:15.240Z] [INFO] 📥 Fetching branches: From remote... | |
| [2026-02-14T10:47:15.636Z] [INFO] 🔍 Verifying: Branch checkout... | |
| [2026-02-14T10:47:15.676Z] [INFO] ✅ Branch checked out: issue-169-ed3644c88604 | |
| [2026-02-14T10:47:15.676Z] [INFO] ✅ Current branch: issue-169-ed3644c88604 | |
| [2026-02-14T10:47:15.676Z] [INFO] Branch operation: Checkout existing PR branch | |
| [2026-02-14T10:47:15.677Z] [INFO] Branch verification: Matches expected | |
| [2026-02-14T10:47:15.680Z] [INFO] | |
| 🔄 Continue mode: ACTIVE | |
| [2026-02-14T10:47:15.680Z] [INFO] Using existing PR: #170 | |
| [2026-02-14T10:47:15.681Z] [INFO] PR URL: https://github.com/link-assistant/agent/pull/170 | |
| [2026-02-14T10:47:15.681Z] [INFO] | |
| 🚀 Starting work session: 2026-02-14T10:47:15.681Z | |
| [2026-02-14T10:47:16.020Z] [INFO] 📝 Converting PR: Back to draft mode... | |
| [2026-02-14T10:47:16.948Z] [INFO] ✅ PR converted: Now in draft mode | |
| [2026-02-14T10:47:17.958Z] [INFO] 💬 Posted: AI Work Session Started comment | |
| [2026-02-14T10:47:18.273Z] [INFO] 👤 Current user: konard | |
| [2026-02-14T10:47:18.273Z] [INFO] | |
| 📊 Comment counting conditions: | |
| [2026-02-14T10:47:18.273Z] [INFO] prNumber: 170 | |
| [2026-02-14T10:47:18.273Z] [INFO] branchName: issue-169-ed3644c88604 | |
| [2026-02-14T10:47:18.274Z] [INFO] isContinueMode: true | |
| [2026-02-14T10:47:18.274Z] [INFO] Will count comments: true | |
| [2026-02-14T10:47:18.274Z] [INFO] 💬 Counting comments: Checking for new comments since last commit... | |
| [2026-02-14T10:47:18.274Z] [INFO] PR #170 on branch: issue-169-ed3644c88604 | |
| [2026-02-14T10:47:18.274Z] [INFO] Owner/Repo: link-assistant/agent | |
| [2026-02-14T10:47:18.691Z] [INFO] 📅 Last commit time (from API): 2026-02-14T10:40:52.000Z | |
| [2026-02-14T10:47:19.889Z] [INFO] 💬 New PR comments: 2 | |
| [2026-02-14T10:47:19.890Z] [INFO] 💬 New PR review comments: 0 | |
| [2026-02-14T10:47:19.890Z] [INFO] 💬 New issue comments: 0 | |
| [2026-02-14T10:47:19.890Z] [INFO] Total new comments: 2 | |
| [2026-02-14T10:47:19.891Z] [INFO] Comment lines to add: Yes | |
| [2026-02-14T10:47:19.891Z] [INFO] PR review comments fetched: 0 | |
| [2026-02-14T10:47:19.891Z] [INFO] PR conversation comments fetched: 5 | |
| [2026-02-14T10:47:19.892Z] [INFO] Total PR comments checked: 5 | |
| [2026-02-14T10:47:22.509Z] [INFO] Feedback info will be added to prompt: | |
| [2026-02-14T10:47:22.510Z] [INFO] - New comments on the pull request: 2 | |
| [2026-02-14T10:47:22.510Z] [INFO] - Pull request description was edited after last commit | |
| [2026-02-14T10:47:22.510Z] [INFO] 📅 Getting timestamps: From GitHub servers... | |
| [2026-02-14T10:47:22.892Z] [INFO] 📝 Issue updated: 2026-02-14T10:14:34.000Z | |
| [2026-02-14T10:47:23.181Z] [INFO] 💬 Comments: None found | |
| [2026-02-14T10:47:23.613Z] [INFO] 🔀 Recent PR: 2026-02-14T10:15:10.000Z | |
| [2026-02-14T10:47:23.613Z] [INFO] | |
| ✅ Reference time: 2026-02-14T10:15:10.000Z | |
| [2026-02-14T10:47:23.614Z] [INFO] | |
| 🔍 Checking for uncommitted changes to include as feedback... | |
| [2026-02-14T10:47:23.666Z] [INFO] ✅ No uncommitted changes found | |
| [2026-02-14T10:47:25.875Z] [INFO] 🎭 Playwright MCP detected - enabling browser automation hints | |
| [2026-02-14T10:47:25.992Z] [INFO] 👁️ Model vision capability: supported | |
| [2026-02-14T10:47:25.993Z] [INFO] | |
| 📝 Final prompt structure: | |
| [2026-02-14T10:47:25.993Z] [INFO] Characters: 359 | |
| [2026-02-14T10:47:25.993Z] [INFO] System prompt characters: 12683 | |
| [2026-02-14T10:47:25.993Z] [INFO] Feedback info: Included | |
| [2026-02-14T10:47:25.995Z] [INFO] | |
| 🤖 Executing Claude: OPUS-4-6 | |
| [2026-02-14T10:47:25.996Z] [INFO] Model: sonnet | |
| [2026-02-14T10:47:25.996Z] [INFO] Working directory: /tmp/gh-issue-solver-1771066033892 | |
| [2026-02-14T10:47:25.996Z] [INFO] Branch: issue-169-ed3644c88604 | |
| [2026-02-14T10:47:25.996Z] [INFO] Prompt length: 359 chars | |
| [2026-02-14T10:47:25.996Z] [INFO] System prompt length: 12683 chars | |
| [2026-02-14T10:47:25.996Z] [INFO] Feedback info included: Yes (2 lines) | |
| [2026-02-14T10:47:26.040Z] [INFO] 📈 System resources before execution: | |
| [2026-02-14T10:47:26.041Z] [INFO] Memory: MemFree: 9111260 kB | |
| [2026-02-14T10:47:26.041Z] [INFO] Load: 0.29 0.15 0.10 1/364 50590 | |
| [2026-02-14T10:47:26.041Z] [INFO] | |
| 📝 Raw command: | |
| [2026-02-14T10:47:26.041Z] [INFO] (cd "/tmp/gh-issue-solver-1771066033892" && 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-1771066033892 | |
| 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 | |
| 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. | |
| 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 .) | |
| [2026-02-14T10:47:26.042Z] [INFO] | |
| [2026-02-14T10:47:26.042Z] [INFO] 📋 User prompt: | |
| [2026-02-14T10:47:26.042Z] [INFO] ---BEGIN USER PROMPT--- | |
| [2026-02-14T10:47:26.042Z] [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-1771066033892 | |
| 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 | |
| Continue. | |
| [2026-02-14T10:47:26.043Z] [INFO] ---END USER PROMPT--- | |
| [2026-02-14T10:47:26.043Z] [INFO] 📋 System prompt: | |
| [2026-02-14T10:47:26.043Z] [INFO] ---BEGIN SYSTEM PROMPT--- | |
| [2026-02-14T10:47:26.043Z] [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. | |
| 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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This error was falling through to `UnknownError` which is not retryable, bypassing the 7-day retry window designed for transient failures.\\n\\n## Changes\\n\\n- Add `StreamParseError` type with `isRetryable: true` in `message-v2.ts`\\n- Detect AI_JSONParseError, JSON parsing failures, and malformed JSON errors\\n- Retry stream parse errors with exponential backoff (1s, 2s, 4s up to 3 retries)\\n- Add `streamParseErrorDelay()` function for consistent retry timing\\n- Add comprehensive test coverage for StreamParseError detection\\n- Add case study documentation with detailed root cause analysis\\n\\n## Test Plan\\n\\n- [x] Added tests for StreamParseError detection by error name\\n- [x] Added tests for StreamParseError detection by error message patterns\\n- [x] Added tests for exponential backoff delay calculation\\n- [x] Verified existing socket/timeout error handling still works\\n- [x] All 29 tests pass\\n\\n## Files Changed\\n\\n| File | Description |\\n|------|-------------|\\n| `js/src/session/message-v2.ts` | Add StreamParseError type and detection logic |\\n| `js/src/session/processor.ts` | Add StreamParseError to retryable errors |\\n| `js/src/session/retry.ts` | Add stream parse error retry constants and delay function |\\n| `js/tests/stream-parse-error.test.js` | New test file for StreamParseError |\\n| `js/tests/retry-state.test.js` | Add tests for stream parse error delay |\\n| `docs/case-studies/issue-169/` | Case study with timeline, root cause analysis, and issue drafts |\\n\\n## Related Issues\\n\\n- Fixes #169\\n- Related: [Vercel AI SDK #8577](https://github.com/vercel/ai/issues/8577) - AI_JSONParseError with isRetryable: false\\n- Related: [Vercel AI SDK #4099](https://github.com/vercel/ai/issues/4099) - streamText error handling\\n\\n---\\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\",\"headRefName\":\"issue-169-ed3644c88604\",\"isDraft\":true,\"state\":\"OPEN\",\"statusCheckRollup\":[{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:44:11Z\",\"conclusion\":\"SUCCESS\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617773248\",\"name\":\"Check for Changesets\",\"startedAt\":\"2026-02-14T10:43:53Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"},{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:43:51Z\",\"conclusion\":\"SKIPPED\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617773378\",\"name\":\"Instant Release\",\"startedAt\":\"2026-02-14T10:43:52Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"},{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:43:51Z\",\"conclusion\":\"SKIPPED\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617773372\",\"name\":\"Create Changeset PR\",\"startedAt\":\"2026-02-14T10:43:51Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"},{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:44:35Z\",\"conclusion\":\"SUCCESS\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617785059\",\"name\":\"Lint and Format Check\",\"startedAt\":\"2026-02-14T10:44:14Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"},{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:44:24Z\",\"conclusion\":\"SUCCESS\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617785067\",\"name\":\"Unit Tests (Bun on ubuntu-latest)\",\"startedAt\":\"2026-02-14T10:44:14Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"},{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:44:26Z\",\"conclusion\":\"SUCCESS\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617785079\",\"name\":\"Unit Tests (Bun on macos-latest)\",\"startedAt\":\"2026-02-14T10:44:14Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"},{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:45:36Z\",\"conclusion\":\"SUCCESS\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617785073\",\"name\":\"Unit Tests (Bun on windows-latest)\",\"startedAt\":\"2026-02-14T10:44:14Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"},{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:45:36Z\",\"conclusion\":\"SKIPPED\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617827853\",\"name\":\"Release\",\"startedAt\":\"2026-02-14T10:45:37Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"}],\"title\":\"fix: Retry on stream parse errors (AI_JSONParseError)\"}", | |
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This error was falling through to `UnknownError` which is not retryable, bypassing the 7-day retry window designed for transient failures.\\n\\n## Changes\\n\\n- Add `StreamParseError` type with `isRetryable: true` in `message-v2.ts`\\n- Detect AI_JSONParseError, JSON parsing failures, and malformed JSON errors\\n- Retry stream parse errors with exponential backoff (1s, 2s, 4s up to 3 retries)\\n- Add `streamParseErrorDelay()` function for consistent retry timing\\n- Add comprehensive test coverage for StreamParseError detection\\n- Add case study documentation with detailed root cause analysis\\n\\n## Test Plan\\n\\n- [x] Added tests for StreamParseError detection by error name\\n- [x] Added tests for StreamParseError detection by error message patterns\\n- [x] Added tests for exponential backoff delay calculation\\n- [x] Verified existing socket/timeout error handling still works\\n- [x] All 29 tests pass\\n\\n## Files Changed\\n\\n| File | Description |\\n|------|-------------|\\n| `js/src/session/message-v2.ts` | Add StreamParseError type and detection logic |\\n| `js/src/session/processor.ts` | Add StreamParseError to retryable errors |\\n| `js/src/session/retry.ts` | Add stream parse error retry constants and delay function |\\n| `js/tests/stream-parse-error.test.js` | New test file for StreamParseError |\\n| `js/tests/retry-state.test.js` | Add tests for stream parse error delay |\\n| `docs/case-studies/issue-169/` | Case study with timeline, root cause analysis, and issue drafts |\\n\\n## Related Issues\\n\\n- Fixes #169\\n- Related: [Vercel AI SDK #8577](https://github.com/vercel/ai/issues/8577) - AI_JSONParseError with isRetryable: false\\n- Related: [Vercel AI SDK #4099](https://github.com/vercel/ai/issues/4099) - streamText error handling\\n\\n---\\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\",\"headRefName\":\"issue-169-ed3644c88604\",\"isDraft\":true,\"state\":\"OPEN\",\"statusCheckRollup\":[{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:44:11Z\",\"conclusion\":\"SUCCESS\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617773248\",\"name\":\"Check for Changesets\",\"startedAt\":\"2026-02-14T10:43:53Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"},{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:43:51Z\",\"conclusion\":\"SKIPPED\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617773378\",\"name\":\"Instant Release\",\"startedAt\":\"2026-02-14T10:43:52Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"},{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:43:51Z\",\"conclusion\":\"SKIPPED\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617773372\",\"name\":\"Create Changeset PR\",\"startedAt\":\"2026-02-14T10:43:51Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"},{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:44:35Z\",\"conclusion\":\"SUCCESS\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617785059\",\"name\":\"Lint and Format Check\",\"startedAt\":\"2026-02-14T10:44:14Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"},{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:44:24Z\",\"conclusion\":\"SUCCESS\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617785067\",\"name\":\"Unit Tests (Bun on ubuntu-latest)\",\"startedAt\":\"2026-02-14T10:44:14Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"},{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:44:26Z\",\"conclusion\":\"SUCCESS\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617785079\",\"name\":\"Unit Tests (Bun on macos-latest)\",\"startedAt\":\"2026-02-14T10:44:14Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"},{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:45:36Z\",\"conclusion\":\"SUCCESS\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617785073\",\"name\":\"Unit Tests (Bun on windows-latest)\",\"startedAt\":\"2026-02-14T10:44:14Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"},{\"__typename\":\"CheckRun\",\"completedAt\":\"2026-02-14T10:45:36Z\",\"conclusion\":\"SKIPPED\",\"detailsUrl\":\"https://github.com/link-assistant/agent/actions/runs/22016008498/job/63617827853\",\"name\":\"Release\",\"startedAt\":\"2026-02-14T10:45:37Z\",\"status\":\"COMPLETED\",\"workflowName\":\"JS CI/CD Pipeline\"}],\"title\":\"fix: Retry on stream parse errors (AI_JSONParseError)\"}", | |
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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 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🔄 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}]", | |
| "is_error": false | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "48261902-ad5c-4f79-8465-03e52213f79b", | |
| "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}]", | |
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| "interrupted": false, | |
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| } | |
| [2026-02-14T10:47:38.257Z] [INFO] { | |
| "type": "user", | |
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| "role": "user", | |
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| "tool_use_id": "toolu_01EWbXBvFvu16qviWCJE9CM6", | |
| "type": "tool_result", | |
| "content": "[]", | |
| "is_error": false | |
| } | |
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| [2026-02-14T10:47:39.562Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01KZSd3tWZvMJf7fggAeWnjJ", | |
| "type": "tool_result", | |
| "content": "[]", | |
| "is_error": false | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "1713ce5f-12eb-40e0-8c5c-d1186e242e1b", | |
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| [2026-02-14T10:47:42.480Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01B1HUK2koUAcbXqA1DMTqdF", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": "Let me now read the issue and check the PR description that was edited, and look at the current state of the code." | |
| } | |
| ], | |
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| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
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| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "f7a3d7ed-99c1-4453-a7fe-6ec095cc43b5" | |
| } | |
| [2026-02-14T10:47:43.657Z] [INFO] { | |
| "type": "assistant", | |
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| "model": "claude-opus-4-6", | |
| "id": "msg_01B1HUK2koUAcbXqA1DMTqdF", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01StQMk1e2M5T8HYKVPCiaAK", | |
| "name": "Bash", | |
| "input": { | |
| "command": "gh issue view 169 --repo link-assistant/agent --json title,body,comments 2>&1 | head -500", | |
| "description": "View issue 169 details" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
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| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
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| }, | |
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| } | |
| [2026-02-14T10:47:44.379Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01B1HUK2koUAcbXqA1DMTqdF", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01TNWQijMr2ucWKsJ9wRVWTw", | |
| "name": "Bash", | |
| "input": { | |
| "command": "git log --oneline -20", | |
| "description": "View recent commits" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 8877, | |
| "cache_read_input_tokens": 25756, | |
| "cache_creation": { | |
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| "ephemeral_1h_input_tokens": 8877 | |
| }, | |
| "output_tokens": 1, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": null, | |
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| [2026-02-14T10:47:45.278Z] [INFO] { | |
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| [2026-02-14T10:47:45.335Z] [INFO] { | |
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| "content": "ccaa5b7 docs: add original log file to case study #169\n665b808 Revert \"Initial commit with task details\"\n5655a02 style: format message-v2.ts\nc7a5154 chore: add changeset for stream parse error retry fix\n6eeac77 fix: Retry on stream parse errors (AI_JSONParseError)\n8c61702 Initial commit with task details\neacdd17 0.12.1\n6b3ca03 Merge pull request #166 from link-assistant/issue-165-4c64eabb9ce2\nc21fce1 Merge pull request #168 from link-assistant/issue-167-581f7880949b\n57411bc style: Format retry-fetch files with Prettier\n9b072ca chore: Add changeset for kilo model routing fix\nc38133d fix: Respect explicit provider/model in kilo routing\ned7f9fc chore: Add changeset for time-based retry fix\n1e27b66 feat: Add custom fetch wrapper with time-based retry for rate limits\n71b9848 Revert \"Initial commit with task details\"\n01a5dbf docs: Add proposed solutions for retry timeout issue\na423eeb docs: Add case study analysis for issue #167 retry timeout problem\ndefc7e3 Revert \"Initial commit with task details\"\n8a7cb5c Initial commit with task details\n5acdcf8 docs: Add case study analysis for issue #165 (Kilo model routing bug)", | |
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| "stdout": "ccaa5b7 docs: add original log file to case study #169\n665b808 Revert \"Initial commit with task details\"\n5655a02 style: format message-v2.ts\nc7a5154 chore: add changeset for stream parse error retry fix\n6eeac77 fix: Retry on stream parse errors (AI_JSONParseError)\n8c61702 Initial commit with task details\neacdd17 0.12.1\n6b3ca03 Merge pull request #166 from link-assistant/issue-165-4c64eabb9ce2\nc21fce1 Merge pull request #168 from link-assistant/issue-167-581f7880949b\n57411bc style: Format retry-fetch files with Prettier\n9b072ca chore: Add changeset for kilo model routing fix\nc38133d fix: Respect explicit provider/model in kilo routing\ned7f9fc chore: Add changeset for time-based retry fix\n1e27b66 feat: Add custom fetch wrapper with time-based retry for rate limits\n71b9848 Revert \"Initial commit with task details\"\n01a5dbf docs: Add proposed solutions for retry timeout issue\na423eeb docs: Add case study analysis for issue #167 retry timeout problem\ndefc7e3 Revert \"Initial commit with task details\"\n8a7cb5c Initial commit with task details\n5acdcf8 docs: Add case study analysis for issue #165 (Kilo model routing bug)", | |
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| [2026-02-14T10:47:45.369Z] [INFO] { | |
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| "stdout": " docs/case-studies/issue-169/analysis.md | 163 +\n .../issue-169/openrouter-issue-draft.md | 50 +\n docs/case-studies/issue-169/original-log.txt | 36426 +++++++++++++++++++\n .../issue-169/vercel-ai-issue-draft.md | 87 +\n js/.changeset/stream-parse-error-retry.md | 16 +\n js/CHANGELOG.md | 22 +\n js/package.json | 2 +-\n js/src/session/message-v2.ts | 38 +\n js/src/session/processor.ts | 16 +-\n js/src/session/retry.ts | 21 +\n js/tests/retry-state.test.js | 25 +\n js/tests/stream-parse-error.test.js | 127 +\n 12 files changed, 36989 insertions(+), 4 deletions(-)", | |
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| [2026-02-14T10:47:50.076Z] [INFO] { | |
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| "text": "Now let me understand the key feedback from konard (the PR comment). The reviewer is asking me to:\n\n1. **Redo the analysis** - The original analysis incorrectly mentioned \"OpenRouter\" when they use \"OpenCode Zen\"\n2. **Study other CLI agents** (opencode, gemini-cli, qwen-code, codex) to see how they handle this error\n3. **File issues to all responsible parties** if not yet done\n4. **Deep case study analysis** with timeline reconstruction\n5. **Propose solutions and workarounds**\n\nLet me create a detailed todo list and start working." | |
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| "content": "Search online for additional facts about AI_JSONParseError and SSE stream corruption", | |
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| }, | |
| { | |
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| "content": "Update code implementation based on findings", | |
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| "content": "Run tests and CI checks", | |
| "status": "pending", | |
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| }, | |
| { | |
| "content": "Finalize PR - update description, commit, push", | |
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| [2026-02-14T10:47:59.310Z] [INFO] { | |
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| "type": "message", | |
| "role": "assistant", | |
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| { | |
| "type": "text", | |
| "text": "Let me first review the current code changes and the error log in detail." | |
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| } | |
| } | |
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| [2026-02-14T10:48:00.684Z] [INFO] { | |
| "type": "user", | |
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| { | |
| "tool_use_id": "toolu_01CRVVcyx4bE4H2UZcq1gpZ7", | |
| "type": "tool_result", | |
| "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 (proxy issues)\n 80→ * - Provider returns invalid JSON in stream\n 81→ * - Network issues corrupt stream data\n 82→ * These errors are transient and should be retried.\n 83→ * See: https://github.com/link-assistant/agent/issues/169\n 84→ * See: https://github.com/vercel/ai/issues/4099\n 85→ */\n 86→ export const StreamParseError = NamedError.create(\n 87→ 'StreamParseError',\n 88→ z.object({\n 89→ message: z.string(),\n 90→ isRetryable: z.literal(true),\n 91→ text: z.string().optional(), // The malformed text that failed to parse\n 92→ })\n 93→ );\n 94→ export type StreamParseError = z.infer<typeof StreamParseError.Schema>;\n 95→\n 96→ const PartBase = z.object({\n 97→ id: z.string(),\n 98→ sessionID: z.string(),\n 99→ messageID: z.string(),\n 100→ });\n 101→\n 102→ export const SnapshotPart = PartBase.extend({\n 103→ type: z.literal('snapshot'),\n 104→ snapshot: z.string(),\n 105→ }).meta({\n 106→ ref: 'SnapshotPart',\n 107→ });\n 108→ export type SnapshotPart = z.infer<typeof SnapshotPart>;\n 109→\n 110→ export const PatchPart = PartBase.extend({\n 111→ type: z.literal('patch'),\n 112→ hash: z.string(),\n 113→ files: z.string().array(),\n 114→ }).meta({\n 115→ ref: 'PatchPart',\n 116→ });\n 117→ export type PatchPart = z.infer<typeof PatchPart>;\n 118→\n 119→ export const TextPart = PartBase.extend({\n 120→ type: z.literal('text'),\n 121→ text: z.string(),\n 122→ synthetic: z.boolean().optional(),\n 123→ time: z\n 124→ .object({\n 125→ start: z.number(),\n 126→ end: z.number().optional(),\n 127→ })\n 128→ .optional(),\n 129→ metadata: z.record(z.string(), z.any()).optional(),\n 130→ }).meta({\n 131→ ref: 'TextPart',\n 132→ });\n 133→ export type TextPart = z.infer<typeof TextPart>;\n 134→\n 135→ export const ReasoningPart = PartBase.extend({\n 136→ type: z.literal('reasoning'),\n 137→ text: z.string(),\n 138→ metadata: z.record(z.string(), z.any()).optional(),\n 139→ time: z.object({\n 140→ start: z.number(),\n 141→ end: z.number().optional(),\n 142→ }),\n 143→ }).meta({\n 144→ ref: 'ReasoningPart',\n 145→ });\n 146→ export type ReasoningPart = z.infer<typeof ReasoningPart>;\n 147→\n 148→ const FilePartSourceBase = z.object({\n 149→ text: z\n 150→ .object({\n 151→ value: z.string(),\n 152→ start: z.number().int(),\n 153→ end: z.number().int(),\n 154→ })\n 155→ .meta({\n 156→ ref: 'FilePartSourceText',\n 157→ }),\n 158→ });\n 159→\n 160→ export const FileSource = FilePartSourceBase.extend({\n 161→ type: z.literal('file'),\n 162→ path: z.string(),\n 163→ }).meta({\n 164→ ref: 'FileSource',\n 165→ });\n 166→\n 167→ export const SymbolSource = FilePartSourceBase.extend({\n 168→ type: z.literal('symbol'),\n 169→ path: z.string(),\n 170→ range: z.object({\n 171→ start: z.object({ line: z.number(), character: z.number() }),\n 172→ end: z.object({ line: z.number(), character: z.number() }),\n 173→ }),\n 174→ name: z.string(),\n 175→ kind: z.number().int(),\n 176→ }).meta({\n 177→ ref: 'SymbolSource',\n 178→ });\n 179→\n 180→ export const FilePartSource = z\n 181→ .discriminatedUnion('type', [FileSource, SymbolSource])\n 182→ .meta({\n 183→ ref: 'FilePartSource',\n 184→ });\n 185→\n 186→ export const FilePart = PartBase.extend({\n 187→ type: z.literal('file'),\n 188→ mime: z.string(),\n 189→ filename: z.string().optional(),\n 190→ url: z.string(),\n 191→ source: FilePartSource.optional(),\n 192→ }).meta({\n 193→ ref: 'FilePart',\n 194→ });\n 195→ export type FilePart = z.infer<typeof FilePart>;\n 196→\n 197→ export const AgentPart = PartBase.extend({\n 198→ type: z.literal('agent'),\n 199→ name: z.string(),\n 200→ source: z\n 201→ .object({\n 202→ value: z.string(),\n 203→ start: z.number().int(),\n 204→ end: z.number().int(),\n 205→ })\n 206→ .optional(),\n 207→ }).meta({\n 208→ ref: 'AgentPart',\n 209→ });\n 210→ export type AgentPart = z.infer<typeof AgentPart>;\n 211→\n 212→ export const CompactionPart = PartBase.extend({\n 213→ type: z.literal('compaction'),\n 214→ }).meta({\n 215→ ref: 'CompactionPart',\n 216→ });\n 217→ export type CompactionPart = z.infer<typeof CompactionPart>;\n 218→\n 219→ export const SubtaskPart = PartBase.extend({\n 220→ type: z.literal('subtask'),\n 221→ prompt: z.string(),\n 222→ description: z.string(),\n 223→ agent: z.string(),\n 224→ });\n 225→ export type SubtaskPart = z.infer<typeof SubtaskPart>;\n 226→\n 227→ export const RetryPart = PartBase.extend({\n 228→ type: z.literal('retry'),\n 229→ attempt: z.number(),\n 230→ error: APIError.Schema,\n 231→ time: z.object({\n 232→ created: z.number(),\n 233→ }),\n 234→ }).meta({\n 235→ ref: 'RetryPart',\n 236→ });\n 237→ export type RetryPart = z.infer<typeof RetryPart>;\n 238→\n 239→ export const StepStartPart = PartBase.extend({\n 240→ type: z.literal('step-start'),\n 241→ snapshot: z.string().optional(),\n 242→ }).meta({\n 243→ ref: 'StepStartPart',\n 244→ });\n 245→ export type StepStartPart = z.infer<typeof StepStartPart>;\n 246→\n 247→ export const StepFinishPart = PartBase.extend({\n 248→ type: z.literal('step-finish'),\n 249→ reason: z.string(),\n 250→ snapshot: z.string().optional(),\n 251→ cost: z.number(),\n 252→ tokens: z.object({\n 253→ input: z.number(),\n 254→ output: z.number(),\n 255→ reasoning: z.number(),\n 256→ cache: z.object({\n 257→ read: z.number(),\n 258→ write: z.number(),\n 259→ }),\n 260→ }),\n 261→ }).meta({\n 262→ ref: 'StepFinishPart',\n 263→ });\n 264→ export type StepFinishPart = z.infer<typeof StepFinishPart>;\n 265→\n 266→ export const ToolStatePending = z\n 267→ .object({\n 268→ status: z.literal('pending'),\n 269→ input: z.record(z.string(), z.any()),\n 270→ raw: z.string(),\n 271→ })\n 272→ .meta({\n 273→ ref: 'ToolStatePending',\n 274→ });\n 275→\n 276→ export type ToolStatePending = z.infer<typeof ToolStatePending>;\n 277→\n 278→ export const ToolStateRunning = z\n 279→ .object({\n 280→ status: z.literal('running'),\n 281→ input: z.record(z.string(), z.any()),\n 282→ title: z.string().optional(),\n 283→ metadata: z.record(z.string(), z.any()).optional(),\n 284→ time: z.object({\n 285→ start: z.number(),\n 286→ }),\n 287→ })\n 288→ .meta({\n 289→ ref: 'ToolStateRunning',\n 290→ });\n 291→ export type ToolStateRunning = z.infer<typeof ToolStateRunning>;\n 292→\n 293→ export const ToolStateCompleted = z\n 294→ .object({\n 295→ status: z.literal('completed'),\n 296→ input: z.record(z.string(), z.any()),\n 297→ output: z.string(),\n 298→ title: z.string(),\n 299→ metadata: z.record(z.string(), z.any()),\n 300→ time: z.object({\n 301→ start: z.number(),\n 302→ end: z.number(),\n 303→ compacted: z.number().optional(),\n 304→ }),\n 305→ attachments: FilePart.array().optional(),\n 306→ })\n 307→ .meta({\n 308→ ref: 'ToolStateCompleted',\n 309→ });\n 310→ export type ToolStateCompleted = z.infer<typeof ToolStateCompleted>;\n 311→\n 312→ export const ToolStateError = z\n 313→ .object({\n 314→ status: z.literal('error'),\n 315→ input: z.record(z.string(), z.any()),\n 316→ error: z.string(),\n 317→ metadata: z.record(z.string(), z.any()).optional(),\n 318→ time: z.object({\n 319→ start: z.number(),\n 320→ end: z.number(),\n 321→ }),\n 322→ })\n 323→ .meta({\n 324→ ref: 'ToolStateError',\n 325→ });\n 326→ export type ToolStateError = z.infer<typeof ToolStateError>;\n 327→\n 328→ export const ToolState = z\n 329→ .discriminatedUnion('status', [\n 330→ ToolStatePending,\n 331→ ToolStateRunning,\n 332→ ToolStateCompleted,\n 333→ ToolStateError,\n 334→ ])\n 335→ .meta({\n 336→ ref: 'ToolState',\n 337→ });\n 338→\n 339→ export const ToolPart = PartBase.extend({\n 340→ type: z.literal('tool'),\n 341→ callID: z.string(),\n 342→ tool: z.string(),\n 343→ state: ToolState,\n 344→ metadata: z.record(z.string(), z.any()).optional(),\n 345→ }).meta({\n 346→ ref: 'ToolPart',\n 347→ });\n 348→ export type ToolPart = z.infer<typeof ToolPart>;\n 349→\n 350→ const Base = z.object({\n 351→ id: z.string(),\n 352→ sessionID: z.string(),\n 353→ });\n 354→\n 355→ export const User = Base.extend({\n 356→ role: z.literal('user'),\n 357→ time: z.object({\n 358→ created: z.number(),\n 359→ }),\n 360→ summary: z\n 361→ .object({\n 362→ title: z.string().optional(),\n 363→ body: z.string().optional(),\n 364→ diffs: Snapshot.FileDiff.array(),\n 365→ })\n 366→ .optional(),\n 367→ agent: z.string(),\n 368→ model: z.object({\n 369→ providerID: z.string(),\n 370→ modelID: z.string(),\n 371→ }),\n 372→ system: z.string().optional(),\n 373→ appendSystem: z.string().optional(),\n 374→ tools: z.record(z.string(), z.boolean()).optional(),\n 375→ }).meta({\n 376→ ref: 'UserMessage',\n 377→ });\n 378→ export type User = z.infer<typeof User>;\n 379→\n 380→ export const Part = z\n 381→ .discriminatedUnion('type', [\n 382→ TextPart,\n 383→ SubtaskPart,\n 384→ ReasoningPart,\n 385→ FilePart,\n 386→ ToolPart,\n 387→ StepStartPart,\n 388→ StepFinishPart,\n 389→ SnapshotPart,\n 390→ PatchPart,\n 391→ AgentPart,\n 392→ RetryPart,\n 393→ CompactionPart,\n 394→ ])\n 395→ .meta({\n 396→ ref: 'Part',\n 397→ });\n 398→ export type Part = z.infer<typeof Part>;\n 399→\n 400→ export const Assistant = Base.extend({\n 401→ role: z.literal('assistant'),\n 402→ time: z.object({\n 403→ created: z.number(),\n 404→ completed: z.number().optional(),\n 405→ }),\n 406→ error: z\n 407→ .discriminatedUnion('name', [\n 408→ AuthError.Schema,\n 409→ NamedError.Unknown.Schema,\n 410→ OutputLengthError.Schema,\n 411→ AbortedError.Schema,\n 412→ APIError.Schema,\n 413→ ])\n 414→ .optional(),\n 415→ parentID: z.string(),\n 416→ modelID: z.string(),\n 417→ providerID: z.string(),\n 418→ mode: z.string(),\n 419→ path: z.object({\n 420→ cwd: z.string(),\n 421→ root: z.string(),\n 422→ }),\n 423→ summary: z.boolean().optional(),\n 424→ cost: z.number(),\n 425→ tokens: z.object({\n 426→ input: z.number(),\n 427→ output: z.number(),\n 428→ reasoning: z.number(),\n 429→ cache: z.object({\n 430→ read: z.number(),\n 431→ write: z.number(),\n 432→ }),\n 433→ }),\n 434→ finish: z.string().optional(),\n 435→ }).meta({\n 436→ ref: 'AssistantMessage',\n 437→ });\n 438→ export type Assistant = z.infer<typeof Assistant>;\n 439→\n 440→ export const Info = z.discriminatedUnion('role', [User, Assistant]).meta({\n 441→ ref: 'Message',\n 442→ });\n 443→ export type Info = z.infer<typeof Info>;\n 444→\n 445→ export const Event = {\n 446→ Updated: Bus.event(\n 447→ 'message.updated',\n 448→ z.object({\n 449→ info: Info,\n 450→ })\n 451→ ),\n 452→ Removed: Bus.event(\n 453→ 'message.removed',\n 454→ z.object({\n 455→ sessionID: z.string(),\n 456→ messageID: z.string(),\n 457→ })\n 458→ ),\n 459→ PartUpdated: Bus.event(\n 460→ 'message.part.updated',\n 461→ z.object({\n 462→ part: Part,\n 463→ delta: z.string().optional(),\n 464→ })\n 465→ ),\n 466→ PartRemoved: Bus.event(\n 467→ 'message.part.removed',\n 468→ z.object({\n 469→ sessionID: z.string(),\n 470→ messageID: z.string(),\n 471→ partID: z.string(),\n 472→ })\n 473→ ),\n 474→ };\n 475→\n 476→ export const WithParts = z.object({\n 477→ info: Info,\n 478→ parts: z.array(Part),\n 479→ });\n 480→ export type WithParts = z.infer<typeof WithParts>;\n 481→\n 482→ export function fromV1(v1: Message.Info) {\n 483→ if (v1.role === 'assistant') {\n 484→ const info: Assistant = {\n 485→ id: v1.id,\n 486→ parentID: '',\n 487→ sessionID: v1.metadata.sessionID,\n 488→ role: 'assistant',\n 489→ time: {\n 490→ created: v1.metadata.time.created,\n 491→ completed: v1.metadata.time.completed,\n 492→ },\n 493→ cost: v1.metadata.assistant!.cost,\n 494→ path: v1.metadata.assistant!.path,\n 495→ summary: v1.metadata.assistant!.summary,\n 496→ tokens: v1.metadata.assistant!.tokens,\n 497→ modelID: v1.metadata.assistant!.modelID,\n 498→ providerID: v1.metadata.assistant!.providerID,\n 499→ mode: 'build',\n 500→ error: v1.metadata.error,\n 501→ };\n 502→ const parts = v1.parts.flatMap((part): Part[] => {\n 503→ const base = {\n 504→ id: Identifier.ascending('part'),\n 505→ messageID: v1.id,\n 506→ sessionID: v1.metadata.sessionID,\n 507→ };\n 508→ if (part.type === 'text') {\n 509→ return [\n 510→ {\n 511→ ...base,\n 512→ type: 'text',\n 513→ text: part.text,\n 514→ },\n 515→ ];\n 516→ }\n 517→ if (part.type === 'step-start') {\n 518→ return [\n 519→ {\n 520→ ...base,\n 521→ type: 'step-start',\n 522→ },\n 523→ ];\n 524→ }\n 525→ if (part.type === 'tool-invocation') {\n 526→ return [\n 527→ {\n 528→ ...base,\n 529→ type: 'tool',\n 530→ callID: part.toolInvocation.toolCallId,\n 531→ tool: part.toolInvocation.toolName,\n 532→ state: (() => {\n 533→ if (part.toolInvocation.state === 'partial-call') {\n 534→ return {\n 535→ status: 'pending',\n 536→ input: {},\n 537→ raw: '',\n 538→ };\n 539→ }\n 540→\n 541→ const { title, time, ...metadata } =\n 542→ v1.metadata.tool[part.toolInvocation.toolCallId] ?? {};\n 543→ if (part.toolInvocation.state === 'call') {\n 544→ return {\n 545→ status: 'running',\n 546→ input: part.toolInvocation.args,\n 547→ time: {\n 548→ start: time?.start,\n 549→ },\n 550→ };\n 551→ }\n 552→\n 553→ if (part.toolInvocation.state === 'result') {\n 554→ return {\n 555→ status: 'completed',\n 556→ input: part.toolInvocation.args,\n 557→ output: part.toolInvocation.result,\n 558→ title,\n 559→ time,\n 560→ metadata,\n 561→ };\n 562→ }\n 563→ throw new Error('unknown tool invocation state');\n 564→ })(),\n 565→ },\n 566→ ];\n 567→ }\n 568→ return [];\n 569→ });\n 570→ return {\n 571→ info,\n 572→ parts,\n 573→ };\n 574→ }\n 575→\n 576→ if (v1.role === 'user') {\n 577→ const info: User = {\n 578→ id: v1.id,\n 579→ sessionID: v1.metadata.sessionID,\n 580→ role: 'user',\n 581→ time: {\n 582→ created: v1.metadata.time.created,\n 583→ },\n 584→ agent: 'build',\n 585→ model: {\n 586→ providerID: 'opencode',\n 587→ modelID: 'opencode',\n 588→ },\n 589→ };\n 590→ const parts = v1.parts.flatMap((part): Part[] => {\n 591→ const base = {\n 592→ id: Identifier.ascending('part'),\n 593→ messageID: v1.id,\n 594→ sessionID: v1.metadata.sessionID,\n 595→ };\n 596→ if (part.type === 'text') {\n 597→ return [\n 598→ {\n 599→ ...base,\n 600→ type: 'text',\n 601→ text: part.text,\n 602→ },\n 603→ ];\n 604→ }\n 605→ if (part.type === 'file') {\n 606→ return [\n 607→ {\n 608→ ...base,\n 609→ type: 'file',\n 610→ mime: part.mediaType,\n 611→ filename: part.filename,\n 612→ url: part.url,\n 613→ },\n 614→ ];\n 615→ }\n 616→ return [];\n 617→ });\n 618→ return { info, parts };\n 619→ }\n 620→\n 621→ throw new Error('unknown message type');\n 622→ }\n 623→\n 624→ export async function toModelMessage(\n 625→ input: {\n 626→ info: Info;\n 627→ parts: Part[];\n 628→ }[]\n 629→ ): Promise<ModelMessage[]> {\n 630→ const result: UIMessage[] = [];\n 631→\n 632→ for (const msg of input) {\n 633→ if (msg.parts.length === 0) continue;\n 634→\n 635→ if (msg.info.role === 'user') {\n 636→ const userMessage: UIMessage = {\n 637→ id: msg.info.id,\n 638→ role: 'user',\n 639→ parts: [],\n 640→ };\n 641→ result.push(userMessage);\n 642→ for (const part of msg.parts) {\n 643→ if (part.type === 'text')\n 644→ userMessage.parts.push({\n 645→ type: 'text',\n 646→ text: part.text,\n 647→ });\n 648→ // text/plain and directory files are converted into text parts, ignore them\n 649→ if (\n 650→ part.type === 'file' &&\n 651→ part.mime !== 'text/plain' &&\n 652→ part.mime !== 'application/x-directory'\n 653→ )\n 654→ userMessage.parts.push({\n 655→ type: 'file',\n 656→ url: part.url,\n 657→ mediaType: part.mime,\n 658→ filename: part.filename,\n 659→ });\n 660→\n 661→ if (part.type === 'compaction') {\n 662→ userMessage.parts.push({\n 663→ type: 'text',\n 664→ text: 'What did we do so far?',\n 665→ });\n 666→ }\n 667→ if (part.type === 'subtask') {\n 668→ userMessage.parts.push({\n 669→ type: 'text',\n 670→ text: 'The following tool was executed by the user',\n 671→ });\n 672→ }\n 673→ }\n 674→ }\n 675→\n 676→ if (msg.info.role === 'assistant') {\n 677→ const assistantMessage: UIMessage = {\n 678→ id: msg.info.id,\n 679→ role: 'assistant',\n 680→ parts: [],\n 681→ };\n 682→ result.push(assistantMessage);\n 683→ for (const part of msg.parts) {\n 684→ if (part.type === 'text')\n 685→ assistantMessage.parts.push({\n 686→ type: 'text',\n 687→ text: part.text,\n 688→ providerMetadata: part.metadata,\n 689→ });\n 690→ if (part.type === 'step-start')\n 691→ assistantMessage.parts.push({\n 692→ type: 'step-start',\n 693→ });\n 694→ if (part.type === 'tool') {\n 695→ if (part.state.status === 'completed') {\n 696→ if (part.state.attachments?.length) {\n 697→ result.push({\n 698→ id: Identifier.ascending('message'),\n 699→ role: 'user',\n 700→ parts: [\n 701→ {\n 702→ type: 'text',\n 703→ text: `Tool ${part.tool} returned an attachment:`,\n 704→ },\n 705→ ...part.state.attachments.map((attachment) => ({\n 706→ type: 'file' as const,\n 707→ url: attachment.url,\n 708→ mediaType: attachment.mime,\n 709→ filename: attachment.filename,\n 710→ })),\n 711→ ],\n 712→ });\n 713→ }\n 714→ assistantMessage.parts.push({\n 715→ type: ('tool-' + part.tool) as `tool-${string}`,\n 716→ state: 'output-available',\n 717→ toolCallId: part.callID,\n 718→ input: part.state.input,\n 719→ output: part.state.time.compacted\n 720→ ? '[Old tool result content cleared]'\n 721→ : part.state.output,\n 722→ callProviderMetadata: part.metadata,\n 723→ });\n 724→ }\n 725→ if (part.state.status === 'error')\n 726→ assistantMessage.parts.push({\n 727→ type: ('tool-' + part.tool) as `tool-${string}`,\n 728→ state: 'output-error',\n 729→ toolCallId: part.callID,\n 730→ input: part.state.input,\n 731→ errorText: part.state.error,\n 732→ callProviderMetadata: part.metadata,\n 733→ });\n 734→ }\n 735→ if (part.type === 'reasoning') {\n 736→ assistantMessage.parts.push({\n 737→ type: 'reasoning',\n 738→ text: part.text,\n 739→ providerMetadata: part.metadata,\n 740→ });\n 741→ }\n 742→ }\n 743→ }\n 744→ }\n 745→\n 746→ return await convertToModelMessages(result);\n 747→ }\n 748→\n 749→ export const stream = fn(\n 750→ Identifier.schema('session'),\n 751→ async function* (sessionID) {\n 752→ const list = await Array.fromAsync(\n 753→ await Storage.list(['message', sessionID])\n 754→ );\n 755→ for (let i = list.length - 1; i >= 0; i--) {\n 756→ yield await get({\n 757→ sessionID,\n 758→ messageID: list[i][2],\n 759→ });\n 760→ }\n 761→ }\n 762→ );\n 763→\n 764→ export const parts = fn(Identifier.schema('message'), async (messageID) => {\n 765→ const result = [] as MessageV2.Part[];\n 766→ for (const item of await Storage.list(['part', messageID])) {\n 767→ const read = await Storage.read<MessageV2.Part>(item);\n 768→ result.push(read);\n 769→ }\n 770→ result.sort((a, b) => (a.id > b.id ? 1 : -1));\n 771→ return result;\n 772→ });\n 773→\n 774→ export const get = fn(\n 775→ z.object({\n 776→ sessionID: Identifier.schema('session'),\n 777→ messageID: Identifier.schema('message'),\n 778→ }),\n 779→ async (input) => {\n 780→ return {\n 781→ info: await Storage.read<MessageV2.Info>([\n 782→ 'message',\n 783→ input.sessionID,\n 784→ input.messageID,\n 785→ ]),\n 786→ parts: await parts(input.messageID),\n 787→ };\n 788→ }\n 789→ );\n 790→\n 791→ export async function filterCompacted(\n 792→ stream: AsyncIterable<MessageV2.WithParts>\n 793→ ) {\n 794→ const result = [] as MessageV2.WithParts[];\n 795→ const completed = new Set<string>();\n 796→ for await (const msg of stream) {\n 797→ result.push(msg);\n 798→ if (\n 799→ msg.info.role === 'user' &&\n 800→ completed.has(msg.info.id) &&\n 801→ msg.parts.some((part) => part.type === 'compaction')\n 802→ )\n 803→ break;\n 804→ if (msg.info.role === 'assistant' && msg.info.summary && msg.info.finish)\n 805→ completed.add(msg.info.parentID);\n 806→ }\n 807→ result.reverse();\n 808→ return result;\n 809→ }\n 810→\n 811→ export function fromError(e: unknown, ctx: { providerID: string }) {\n 812→ switch (true) {\n 813→ case e instanceof DOMException && e.name === 'AbortError':\n 814→ return new MessageV2.AbortedError(\n 815→ { message: e.message },\n 816→ {\n 817→ cause: e,\n 818→ }\n 819→ ).toObject();\n 820→ case e instanceof DOMException && e.name === 'TimeoutError':\n 821→ return new MessageV2.TimeoutError(\n 822→ { message: e.message, isRetryable: true },\n 823→ { cause: e }\n 824→ ).toObject();\n 825→ case MessageV2.OutputLengthError.isInstance(e):\n 826→ return e;\n 827→ case LoadAPIKeyError.isInstance(e):\n 828→ return new MessageV2.AuthError(\n 829→ {\n 830→ providerID: ctx.providerID,\n 831→ message: e.message,\n 832→ },\n 833→ { cause: e }\n 834→ ).toObject();\n 835→ case APICallError.isInstance(e):\n 836→ return new MessageV2.APIError(\n 837→ {\n 838→ message: e.message,\n 839→ statusCode: e.statusCode,\n 840→ isRetryable: e.isRetryable,\n 841→ responseHeaders: e.responseHeaders,\n 842→ responseBody: e.responseBody,\n 843→ },\n 844→ { cause: e }\n 845→ ).toObject();\n 846→ case e instanceof Error: {\n 847→ const message = e.message || e.toString();\n 848→ // Detect stream/JSON parse errors from AI SDK and providers\n 849→ // These are transient and should be retried\n 850→ // See: https://github.com/link-assistant/agent/issues/169\n 851→ const isStreamParseError =\n 852→ e.name === 'AI_JSONParseError' ||\n 853→ message.includes('AI_JSONParseError') ||\n 854→ message.includes('JSON parsing failed') ||\n 855→ message.includes('JSON Parse error') ||\n 856→ (message.includes('Unexpected token') && message.includes('JSON')) ||\n 857→ message.includes('is not valid JSON');\n 858→ if (isStreamParseError) {\n 859→ // Extract the malformed text if available\n 860→ const text = (e as { text?: string }).text;\n 861→ return new MessageV2.StreamParseError(\n 862→ { message, isRetryable: true, text },\n 863→ { cause: e }\n 864→ ).toObject();\n 865→ }\n 866→ // Detect Bun socket connection errors (known Bun issue with 10s idle timeout)\n 867→ // See: https://github.com/oven-sh/bun/issues/14439\n 868→ const isSocketError =\n 869→ message.includes('socket connection was closed') ||\n 870→ message.includes('closed unexpectedly');\n 871→ if (isSocketError) {\n 872→ return new MessageV2.SocketConnectionError(\n 873→ { message, isRetryable: true },\n 874→ { cause: e }\n 875→ ).toObject();\n 876→ }\n 877→ // Detect timeout errors from various sources\n 878→ // See: https://github.com/link-assistant/agent/issues/142\n 879→ const isTimeoutError =\n 880→ message.includes('The operation timed out') ||\n 881→ message.includes('timed out') ||\n 882→ e.name === 'TimeoutError';\n 883→ if (isTimeoutError) {\n 884→ return new MessageV2.TimeoutError(\n 885→ { message, isRetryable: true },\n 886→ { cause: e }\n 887→ ).toObject();\n 888→ }\n 889→ return new NamedError.Unknown(\n 890→ { message: e.toString() },\n 891→ { cause: e }\n 892→ ).toObject();\n 893→ }\n 894→ default:\n 895→ return new NamedError.Unknown(\n 896→ { message: JSON.stringify(e) },\n 897→ { cause: e }\n 898→ );\n 899→ }\n 900→ }\n 901→}\n 902→\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": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "e179857e-9732-4c4d-a104-c8e97b4cc814", | |
| "tool_use_result": { | |
| "type": "text", | |
| "file": { | |
| "filePath": "/tmp/gh-issue-solver-1771066033892/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 (proxy issues)\n * - Provider returns invalid JSON in stream\n * - Network issues corrupt stream data\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/4099\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 // These are transient and should be retried\n // See: https://github.com/link-assistant/agent/issues/169\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": 902, | |
| "startLine": 1, | |
| "totalLines": 902 | |
| } | |
| } | |
| } | |
| [2026-02-14T10:48:00.689Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01N2M7fEBeqkmeCe8NYq9Zp1", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01CLvjjQbgJCYjK8dTBTpykM", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/gh-issue-solver-1771066033892/js/src/session/processor.ts" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 680, | |
| "cache_read_input_tokens": 35889, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 680 | |
| }, | |
| "output_tokens": 4, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "9a24a967-9001-4209-a38b-792b86316787" | |
| } | |
| [2026-02-14T10:48:00.696Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01CLvjjQbgJCYjK8dTBTpykM", | |
| "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 JSON from provider)\n 379→ // and should be retried with exponential backoff\n 380→ // See: https://github.com/link-assistant/agent/issues/169\n 381→ const isRetryableStreamParseError =\n 382→ error?.name === 'StreamParseError' &&\n 383→ error.data.isRetryable &&\n 384→ attempt < SessionRetry.STREAM_PARSE_ERROR_MAX_RETRIES;\n 385→\n 386→ // For API errors (rate limits), check if we're within the retry timeout\n 387→ // See: https://github.com/link-assistant/agent/issues/157\n 388→ const retryCheck = isRetryableAPIError\n 389→ ? SessionRetry.shouldRetry(\n 390→ input.sessionID,\n 391→ error.data.statusCode?.toString() ?? 'unknown'\n 392→ )\n 393→ : { shouldRetry: true, elapsedTime: 0, maxTime: 0 };\n 394→\n 395→ if (\n 396→ (isRetryableAPIError && retryCheck.shouldRetry) ||\n 397→ isRetryableSocketError ||\n 398→ isRetryableTimeoutError ||\n 399→ isRetryableStreamParseError\n 400→ ) {\n 401→ attempt++;\n 402→ // Use error-specific delay calculation\n 403→ // SessionRetry.delay may throw RetryTimeoutExceededError if retry-after exceeds timeout\n 404→ let delay: number;\n 405→ try {\n 406→ delay =\n 407→ error?.name === 'SocketConnectionError'\n 408→ ? SessionRetry.socketErrorDelay(attempt)\n 409→ : error?.name === 'TimeoutError'\n 410→ ? SessionRetry.timeoutDelay(attempt)\n 411→ : error?.name === 'StreamParseError'\n 412→ ? SessionRetry.streamParseErrorDelay(attempt)\n 413→ : SessionRetry.delay(error, attempt);\n 414→ } catch (delayError) {\n 415→ // If retry-after exceeds AGENT_RETRY_TIMEOUT, fail immediately\n 416→ if (\n 417→ delayError instanceof SessionRetry.RetryTimeoutExceededError\n 418→ ) {\n 419→ log.error(() => ({\n 420→ message: 'retry-after exceeds timeout, failing immediately',\n 421→ retryAfterMs: delayError.retryAfterMs,\n 422→ maxTimeoutMs: delayError.maxTimeoutMs,\n 423→ }));\n 424→ SessionRetry.clearRetryState(input.sessionID);\n 425→ // Create a specific error for this case\n 426→ input.assistantMessage.error = {\n 427→ name: 'RetryTimeoutExceededError',\n 428→ data: {\n 429→ message: delayError.message,\n 430→ isRetryable: false,\n 431→ retryAfterMs: delayError.retryAfterMs,\n 432→ maxTimeoutMs: delayError.maxTimeoutMs,\n 433→ },\n 434→ } as MessageV2.Error;\n 435→ Bus.publish(Session.Event.Error, {\n 436→ sessionID: input.assistantMessage.sessionID,\n 437→ error: input.assistantMessage.error,\n 438→ });\n 439→ break;\n 440→ }\n 441→ throw delayError;\n 442→ }\n 443→ log.info(() => ({\n 444→ message: 'retrying',\n 445→ errorType: error?.name,\n 446→ attempt,\n 447→ delay,\n 448→ elapsedRetryTime: retryCheck.elapsedTime,\n 449→ maxRetryTime: retryCheck.maxTime,\n 450→ }));\n 451→ SessionStatus.set(input.sessionID, {\n 452→ type: 'retry',\n 453→ attempt,\n 454→ message: error.data.message,\n 455→ next: Date.now() + delay,\n 456→ });\n 457→ // Update retry state to track total time\n 458→ SessionRetry.updateRetryState(input.sessionID, delay);\n 459→ await SessionRetry.sleep(delay, input.abort).catch(() => {});\n 460→ continue;\n 461→ }\n 462→\n 463→ // Clear retry state on non-retryable error\n 464→ SessionRetry.clearRetryState(input.sessionID);\n 465→ input.assistantMessage.error = error;\n 466→ Bus.publish(Session.Event.Error, {\n 467→ sessionID: input.assistantMessage.sessionID,\n 468→ error: input.assistantMessage.error,\n 469→ });\n 470→ }\n 471→ const p = await MessageV2.parts(input.assistantMessage.id);\n 472→ for (const part of p) {\n 473→ if (\n 474→ part.type === 'tool' &&\n 475→ part.state.status !== 'completed' &&\n 476→ part.state.status !== 'error'\n 477→ ) {\n 478→ await Session.updatePart({\n 479→ ...part,\n 480→ state: {\n 481→ ...part.state,\n 482→ status: 'error',\n 483→ error: 'Tool execution aborted',\n 484→ time: {\n 485→ start: Date.now(),\n 486→ end: Date.now(),\n 487→ },\n 488→ },\n 489→ });\n 490→ }\n 491→ }\n 492→ input.assistantMessage.time.completed = Date.now();\n 493→ await Session.updateMessage(input.assistantMessage);\n 494→ if (blocked) return 'stop';\n 495→ if (input.assistantMessage.error) return 'stop';\n 496→ return 'continue';\n 497→ }\n 498→ },\n 499→ };\n 500→ return result;\n 501→ }\n 502→}\n 503→\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": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "94ed382b-77a5-4dd3-9ee8-9a59d0732315", | |
| "tool_use_result": { | |
| "type": "text", | |
| "file": { | |
| "filePath": "/tmp/gh-issue-solver-1771066033892/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 JSON from provider)\n // and should be retried with exponential backoff\n // See: https://github.com/link-assistant/agent/issues/169\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": 503, | |
| "startLine": 1, | |
| "totalLines": 503 | |
| } | |
| } | |
| } | |
| [2026-02-14T10:48:01.135Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01N2M7fEBeqkmeCe8NYq9Zp1", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_018c43RAod5Thgh64jYRTwCt", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/gh-issue-solver-1771066033892/js/src/session/retry.ts" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 680, | |
| "cache_read_input_tokens": 35889, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 680 | |
| }, | |
| "output_tokens": 4, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "67b89fa5-94bf-4772-ab6f-bd0f3d8e6440" | |
| } | |
| [2026-02-14T10:48:01.140Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_018c43RAod5Thgh64jYRTwCt", | |
| "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 provider proxies or network\n 61→ // See: https://github.com/link-assistant/agent/issues/169\n 62→ export const STREAM_PARSE_ERROR_MAX_RETRIES = 3;\n 63→ export const STREAM_PARSE_ERROR_INITIAL_DELAY = 1000; // 1 second\n 64→ export const STREAM_PARSE_ERROR_BACKOFF_FACTOR = 2;\n 65→\n 66→ // Rate limit retry state tracking\n 67→ // Tracks total time spent retrying for each error type\n 68→ // See: https://github.com/link-assistant/agent/issues/157\n 69→ interface RetryState {\n 70→ errorType: string;\n 71→ startTime: number;\n 72→ totalRetryTime: number;\n 73→ }\n 74→\n 75→ const retryStates: Map<string, RetryState> = new Map();\n 76→\n 77→ /**\n 78→ * Check if we should continue retrying for a given session and error type.\n 79→ * Returns true if within retry timeout, false if exceeded.\n 80→ * The timeout resets when the error type changes.\n 81→ */\n 82→ export function shouldRetry(\n 83→ sessionID: string,\n 84→ errorType: string\n 85→ ): { shouldRetry: boolean; elapsedTime: number; maxTime: number } {\n 86→ const maxTime = Flag.RETRY_TIMEOUT() * 1000; // Convert to ms\n 87→ const state = retryStates.get(sessionID);\n 88→\n 89→ if (!state || state.errorType !== errorType) {\n 90→ // New error type or first error - reset state\n 91→ retryStates.set(sessionID, {\n 92→ errorType,\n 93→ startTime: Date.now(),\n 94→ totalRetryTime: 0,\n 95→ });\n 96→ return { shouldRetry: true, elapsedTime: 0, maxTime };\n 97→ }\n 98→\n 99→ const elapsedTime = Date.now() - state.startTime;\n 100→ if (elapsedTime >= maxTime) {\n 101→ log.info(() => ({\n 102→ message: 'retry timeout exceeded',\n 103→ sessionID,\n 104→ errorType,\n 105→ elapsedTime,\n 106→ maxTime,\n 107→ }));\n 108→ return { shouldRetry: false, elapsedTime, maxTime };\n 109→ }\n 110→\n 111→ return { shouldRetry: true, elapsedTime, maxTime };\n 112→ }\n 113→\n 114→ /**\n 115→ * Update retry state after a retry attempt.\n 116→ */\n 117→ export function updateRetryState(sessionID: string, delayMs: number): void {\n 118→ const state = retryStates.get(sessionID);\n 119→ if (state) {\n 120→ state.totalRetryTime += delayMs;\n 121→ }\n 122→ }\n 123→\n 124→ /**\n 125→ * Clear retry state for a session (e.g., on success).\n 126→ */\n 127→ export function clearRetryState(sessionID: string): void {\n 128→ retryStates.delete(sessionID);\n 129→ }\n 130→\n 131→ export async function sleep(ms: number, signal: AbortSignal): Promise<void> {\n 132→ return new Promise((resolve, reject) => {\n 133→ const timeout = setTimeout(resolve, ms);\n 134→ signal.addEventListener(\n 135→ 'abort',\n 136→ () => {\n 137→ clearTimeout(timeout);\n 138→ reject(new DOMException('Aborted', 'AbortError'));\n 139→ },\n 140→ { once: true }\n 141→ );\n 142→ });\n 143→ }\n 144→\n 145→ /**\n 146→ * Add jitter to a delay value to prevent thundering herd.\n 147→ * Adds 0-10% random variation to the delay.\n 148→ */\n 149→ function addJitter(delay: number): number {\n 150→ const jitter = Math.random() * 0.1 * delay;\n 151→ return Math.round(delay + jitter);\n 152→ }\n 153→\n 154→ /**\n 155→ * Parse retry-after value from headers and return delay in milliseconds.\n 156→ * Returns null if no valid retry-after header is found.\n 157→ */\n 158→ function parseRetryAfterHeader(\n 159→ headers: Record<string, string>\n 160→ ): number | null {\n 161→ // Check for retry-after-ms header first (milliseconds)\n 162→ const retryAfterMs = headers['retry-after-ms'];\n 163→ if (retryAfterMs) {\n 164→ const parsedMs = Number.parseFloat(retryAfterMs);\n 165→ if (!Number.isNaN(parsedMs) && parsedMs > 0) {\n 166→ log.info(() => ({\n 167→ message: 'parsed retry-after-ms header',\n 168→ headerValue: parsedMs,\n 169→ }));\n 170→ return parsedMs;\n 171→ }\n 172→ }\n 173→\n 174→ // Check for retry-after header (seconds or HTTP date)\n 175→ const retryAfter = headers['retry-after'];\n 176→ if (retryAfter) {\n 177→ const parsedSeconds = Number.parseFloat(retryAfter);\n 178→ if (!Number.isNaN(parsedSeconds) && parsedSeconds > 0) {\n 179→ const delayMs = Math.ceil(parsedSeconds * 1000);\n 180→ log.info(() => ({\n 181→ message: 'parsed retry-after header (seconds)',\n 182→ headerValue: parsedSeconds,\n 183→ delayMs,\n 184→ }));\n 185→ return delayMs;\n 186→ }\n 187→ // Try parsing as HTTP date format\n 188→ const parsed = Date.parse(retryAfter) - Date.now();\n 189→ if (!Number.isNaN(parsed) && parsed > 0) {\n 190→ log.info(() => ({\n 191→ message: 'parsed retry-after header (date)',\n 192→ headerValue: retryAfter,\n 193→ delayMs: parsed,\n 194→ }));\n 195→ return Math.ceil(parsed);\n 196→ }\n 197→ }\n 198→\n 199→ return null;\n 200→ }\n 201→\n 202→ /**\n 203→ * Calculate retry delay based on error response headers and attempt number.\n 204→ *\n 205→ * RETRY LOGIC (per issue #157 requirements):\n 206→ * 1. If retry-after header is available:\n 207→ * - If retry-after <= AGENT_RETRY_TIMEOUT: use it directly (exact time)\n 208→ * - If retry-after > AGENT_RETRY_TIMEOUT: throw RetryTimeoutExceededError (fail immediately)\n 209→ * 2. If no retry-after header:\n 210→ * - Use exponential backoff up to AGENT_MAX_RETRY_DELAY\n 211→ *\n 212→ * Adds jitter to prevent thundering herd when multiple requests retry.\n 213→ * See: https://github.com/link-assistant/agent/issues/157\n 214→ *\n 215→ * @throws {RetryTimeoutExceededError} When retry-after exceeds AGENT_RETRY_TIMEOUT\n 216→ */\n 217→ export function delay(error: MessageV2.APIError, attempt: number): number {\n 218→ const maxRetryTimeout = getRetryTimeout();\n 219→ const maxBackoffDelay = getMaxRetryDelay();\n 220→ const headers = error.data.responseHeaders;\n 221→\n 222→ if (headers) {\n 223→ const retryAfterMs = parseRetryAfterHeader(headers);\n 224→\n 225→ if (retryAfterMs !== null) {\n 226→ // Check if retry-after exceeds the maximum retry timeout\n 227→ if (retryAfterMs > maxRetryTimeout) {\n 228→ log.error(() => ({\n 229→ message:\n 230→ 'retry-after exceeds maximum retry timeout, failing immediately',\n 231→ retryAfterMs,\n 232→ maxRetryTimeout,\n 233→ retryAfterHours: (retryAfterMs / 1000 / 3600).toFixed(2),\n 234→ maxRetryTimeoutHours: (maxRetryTimeout / 1000 / 3600).toFixed(2),\n 235→ }));\n 236→ throw new RetryTimeoutExceededError(retryAfterMs, maxRetryTimeout);\n 237→ }\n 238→\n 239→ // Use exact retry-after time (within timeout limit)\n 240→ log.info(() => ({\n 241→ message: 'using exact retry-after value',\n 242→ retryAfterMs,\n 243→ maxRetryTimeout,\n 244→ }));\n 245→ return addJitter(retryAfterMs);\n 246→ }\n 247→\n 248→ // Headers present but no retry-after - use exponential backoff with max delay cap\n 249→ const backoffDelay = Math.min(\n 250→ RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1),\n 251→ maxBackoffDelay\n 252→ );\n 253→ log.info(() => ({\n 254→ message: 'no retry-after header, using exponential backoff',\n 255→ attempt,\n 256→ backoffDelay,\n 257→ maxBackoffDelay,\n 258→ }));\n 259→ return addJitter(backoffDelay);\n 260→ }\n 261→\n 262→ // No headers at all - use exponential backoff with lower cap\n 263→ const backoffDelay = Math.min(\n 264→ RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1),\n 265→ RETRY_MAX_DELAY_NO_HEADERS\n 266→ );\n 267→ log.info(() => ({\n 268→ message:\n 269→ 'no response headers, using exponential backoff with conservative cap',\n 270→ attempt,\n 271→ backoffDelay,\n 272→ maxCap: RETRY_MAX_DELAY_NO_HEADERS,\n 273→ }));\n 274→ return addJitter(backoffDelay);\n 275→ }\n 276→\n 277→ /**\n 278→ * Calculate delay for socket connection error retries.\n 279→ * Uses exponential backoff: 1s, 2s, 4s, etc.\n 280→ */\n 281→ export function socketErrorDelay(attempt: number): number {\n 282→ return (\n 283→ SOCKET_ERROR_INITIAL_DELAY *\n 284→ Math.pow(SOCKET_ERROR_BACKOFF_FACTOR, attempt - 1)\n 285→ );\n 286→ }\n 287→\n 288→ /**\n 289→ * Calculate delay for timeout error retries.\n 290→ * Uses fixed intervals: 30s, 60s, 120s.\n 291→ * See: https://github.com/link-assistant/agent/issues/142\n 292→ */\n 293→ export function timeoutDelay(attempt: number): number {\n 294→ const index = Math.min(attempt - 1, TIMEOUT_DELAYS.length - 1);\n 295→ return TIMEOUT_DELAYS[index];\n 296→ }\n 297→\n 298→ /**\n 299→ * Calculate delay for stream parse error retries.\n 300→ * Uses exponential backoff: 1s, 2s, 4s, etc.\n 301→ * These errors are typically caused by malformed SSE data from providers.\n 302→ * See: https://github.com/link-assistant/agent/issues/169\n 303→ */\n 304→ export function streamParseErrorDelay(attempt: number): number {\n 305→ return (\n 306→ STREAM_PARSE_ERROR_INITIAL_DELAY *\n 307→ Math.pow(STREAM_PARSE_ERROR_BACKOFF_FACTOR, attempt - 1)\n 308→ );\n 309→ }\n 310→}\n 311→\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 provider proxies or network\n // See: https://github.com/link-assistant/agent/issues/169\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 Retry Failure (Issue #169)\n 2→\n 3→## Summary\n 4→\n 5→The issue reports that the retry mechanism failed sooner than the expected 7-day retry window. Analysis reveals this was caused by an unhandled `AI_JSONParseError` from the Vercel AI SDK when processing malformed SSE streaming data from the Kimi K2.5 API via OpenRouter.\n 6→\n 7→## Timeline of Events\n 8→\n 9→| Time | Event | Details |\n 10→|------|-------|---------|\n 11→| 08:28:31 | Process started | Using `kimi-k2.5-free` model via OpenRouter |\n 12→| 08:28:52 | Branch pushed | `issue-761-a0caf45f6eba` |\n 13→| 08:28:58 | PR created | PR #778 created |\n 14→| 08:29:06 | First session started | `ses_3a4bb6d8dffeiS5FRAjqmkJinT` |\n 15→| 08:29:08 | Rate limit hit (429) | `retry-after: 55852` seconds (~15.5 hours) |\n 16→| 08:29:08 | Retry scheduled | Will retry with 59155378ms delay (~16.4 hours) |\n 17→| 08:29:11 - 08:30:31 | Multiple 429s | All correctly scheduled for retry |\n 18→| 08:33:41 | Second agent session | `ses_3a4b73b0effeFXKMNNCv1Lm3b2` |\n 19→| 08:34:12 | **Fatal error** | `AI_JSONParseError` - JSON parsing failed |\n 20→| 08:34:12 | Process terminated | Error classified as `UsageLimit` |\n 21→\n 22→**Total runtime: ~5 minutes** (not 7 days)\n 23→\n 24→## Root Cause Analysis\n 25→\n 26→### Primary Root Cause: Malformed SSE Response\n 27→\n 28→The API returned corrupted JSON in the SSE stream:\n 29→\n 30→```json\n 31→{\"id\":\"chatcmpl-jQugNdata:{\"id\":\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\",\"object\":\"chat.completion.chunk\"...\n 32→```\n 33→\n 34→Note the malformed data: `\"chatcmpl-jQugNdata:{\"` - this appears to be two SSE chunks concatenated together incorrectly. The correct format would be separate SSE events.\n 35→\n 36→### Secondary Root Cause: AI_JSONParseError Not Retried\n 37→\n 38→The `AI_JSONParseError` is not classified as a retryable error in the current implementation:\n 39→\n 40→1. **In `retry-fetch.ts`**: Only handles HTTP 429 responses and network errors (ConnectionClosed, ECONNRESET, etc.)\n 41→2. **In `message-v2.ts`**: Only classifies these errors as retryable:\n 42→ - `APICallError` with `isRetryable: true`\n 43→ - `TimeoutError`\n 44→ - `SocketConnectionError`\n 45→3. **AI_JSONParseError** falls through to `NamedError.Unknown` which is **not retryable**\n 46→\n 47→### Tertiary Root Cause: Error Misclassification\n 48→\n 49→The solve script detected the error pattern \"Tool execution aborted\" and misclassified it as `UsageLimit`, exiting the retry loop:\n 50→\n 51→```json\n 52→{\n 53→ \"errorType\": \"UsageLimit\",\n 54→ \"errorMatch\": \"Tool execution aborted\",\n 55→ \"limitReached\": true\n 56→}\n 57→```\n 58→\n 59→## Technical Deep Dive\n 60→\n 61→### SSE Parsing Issue\n 62→\n 63→According to [OpenRouter SSE Streaming Documentation](https://openrouter.ai/docs/api/reference/streaming):\n 64→\n 65→> \"Some SSE client implementations might not parse the payload according to spec... leads to an uncaught error when you JSON.stringify the non-JSON payloads.\"\n 66→\n 67→The Vercel AI SDK handles SSE parsing internally. When the Kimi API returns malformed JSON (possibly due to response concatenation at the OpenRouter proxy level), the SDK throws `AI_JSONParseError`.\n 68→\n 69→### Error Flow\n 70→\n 71→```\n 72→Kimi API → OpenRouter → Malformed SSE → AI SDK → AI_JSONParseError\n 73→ ↓\n 74→ MessageV2.fromError() → NamedError.Unknown\n 75→ ↓\n 76→ processor.ts checks: isRetryableAPIError? NO\n 77→ ↓\n 78→ Error published, session terminated\n 79→```\n 80→\n 81→### Vercel AI SDK Behavior\n 82→\n 83→Per [GitHub Issue #4099](https://github.com/vercel/ai/issues/4099):\n 84→\n 85→> \"The error will happen after the function in your example has returned the stream text result... The error happens during the consumption of the stream, not during the creation.\"\n 86→\n 87→This means:\n 88→1. Stream parsing errors occur asynchronously during consumption\n 89→2. They cannot be caught by wrapping `streamText()` in try/catch\n 90→3. Errors flow through the stream's `fullStream` or `onError` callback\n 91→\n 92→## Contributing Factors\n 93→\n 94→1. **Kimi K2.5 Free Tier**: Higher error rates due to rate limiting and provider routing\n 95→2. **OpenRouter Proxy**: Can introduce SSE parsing issues when proxying streams\n 96→3. **No Response Healing**: OpenRouter's [Response Healing](https://openrouter.ai/docs/guides/features/plugins/response-healing) feature could help but may not be enabled\n 97→4. **AI SDK Default Retries**: Default `maxRetries: 2` may not apply to stream consumption errors\n 98→\n 99→## Comparison with Expected Behavior\n 100→\n 101→| Aspect | Expected | Actual |\n 102→|--------|----------|--------|\n 103→| Retry duration | 7 days | ~5 minutes |\n 104→| Error handling | Retry all transient errors | Only HTTP 429 and network errors |\n 105→| JSONParseError | Should retry (transient) | Not retried (treated as fatal) |\n 106→| Error classification | Accurate | Misclassified as UsageLimit |\n 107→\n 108→## Related Issues and PRs\n 109→\n 110→- [OpenCode #11541](https://github.com/anomalyco/opencode/issues/11541): Kimi K2.5 with OpenRouter errors\n 111→- [OpenCode #11596](https://github.com/anomalyco/opencode/pull/11596): Fix for Kimi K2.5 reasoning field errors\n 112→- [Vercel AI #4099](https://github.com/vercel/ai/issues/4099): streamText error handling\n 113→- [Vercel AI #12585](https://github.com/vercel/ai/issues/12585): AI SDK ignores retry-after headers (related)\n 114→\n 115→## Recommendations\n 116→\n 117→### Short-term Fixes\n 118→\n 119→1. **Add AI_JSONParseError to retryable errors**:\n 120→ ```typescript\n 121→ // In message-v2.ts fromError()\n 122→ case e?.name === 'AI_JSONParseError':\n 123→ return new MessageV2.APIError({\n 124→ message: e.message,\n 125→ statusCode: 500, // Treat as server error\n 126→ isRetryable: true, // Mark as retryable\n 127→ responseHeaders: {},\n 128→ responseBody: e.text,\n 129→ }, { cause: e }).toObject();\n 130→ ```\n 131→\n 132→2. **Use AI SDK's onError callback** for better stream error handling\n 133→\n 134→3. **Implement stream-level retry** that wraps the entire stream consumption\n 135→\n 136→### Long-term Fixes\n 137→\n 138→1. **Create JSONParseError error class** with `isRetryable: true`\n 139→2. **Improve error classification** in solve script to distinguish transient from permanent errors\n 140→3. **Add response validation** before parsing\n 141→4. **Consider enabling OpenRouter's Response Healing** for free tier models\n 142→\n 143→### Configuration\n 144→\n 145→Add environment variable to control JSONParseError retry behavior:\n 146→```bash\n 147→AGENT_RETRY_JSON_PARSE_ERRORS=true\n 148→```\n 149→\n 150→## Files to Modify\n 151→\n 152→1. `js/src/session/message-v2.ts` - Add JSONParseError handling in `fromError()`\n 153→2. `js/src/session/processor.ts` - Add JSONParseError to retryable error checks\n 154→3. `js/src/provider/retry-fetch.ts` - Consider adding stream-level retry wrapper\n 155→\n 156→## External Reports Needed\n 157→\n 158→1. **OpenRouter**: Report malformed SSE response issue with Kimi K2.5\n 159→2. **Vercel AI SDK**: Clarify retry behavior for JSONParseError (or propose making it retryable)\n 160→\n 161→## Conclusion\n 162→\n 163→The \"premature failure\" was caused by an unhandled stream parsing error (`AI_JSONParseError`) that the retry logic doesn't recognize as retryable. The 7-day retry window works correctly for HTTP 429 rate limits but doesn't cover all transient error types. The fix requires extending the retryable error classification to include stream parsing errors that are typically transient and recoverable upon retry.\n 164→\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": "# Case Study: Premature Retry Failure (Issue #169)\n\n## Summary\n\nThe issue reports that the retry mechanism failed sooner than the expected 7-day retry window. Analysis reveals this was caused by an unhandled `AI_JSONParseError` from the Vercel AI SDK when processing malformed SSE streaming data from the Kimi K2.5 API via OpenRouter.\n\n## Timeline of Events\n\n| Time | Event | Details |\n|------|-------|---------|\n| 08:28:31 | Process started | Using `kimi-k2.5-free` model via OpenRouter |\n| 08:28:52 | Branch pushed | `issue-761-a0caf45f6eba` |\n| 08:28:58 | PR created | PR #778 created |\n| 08:29:06 | First session started | `ses_3a4bb6d8dffeiS5FRAjqmkJinT` |\n| 08:29:08 | Rate limit hit (429) | `retry-after: 55852` seconds (~15.5 hours) |\n| 08:29:08 | Retry scheduled | Will retry with 59155378ms delay (~16.4 hours) |\n| 08:29:11 - 08:30:31 | Multiple 429s | All correctly scheduled for retry |\n| 08:33:41 | Second agent session | `ses_3a4b73b0effeFXKMNNCv1Lm3b2` |\n| 08:34:12 | **Fatal error** | `AI_JSONParseError` - JSON parsing failed |\n| 08:34:12 | Process terminated | Error classified as `UsageLimit` |\n\n**Total runtime: ~5 minutes** (not 7 days)\n\n## Root Cause Analysis\n\n### Primary Root Cause: Malformed SSE Response\n\nThe API returned corrupted JSON in the SSE stream:\n\n```json\n{\"id\":\"chatcmpl-jQugNdata:{\"id\":\"chatcmpl-iU6vkr3fItZ0Y4rTCmIyAnXO\",\"object\":\"chat.completion.chunk\"...\n```\n\nNote the malformed data: `\"chatcmpl-jQugNdata:{\"` - this appears to be two SSE chunks concatenated together incorrectly. The correct format would be separate SSE events.\n\n### Secondary Root Cause: AI_JSONParseError Not Retried\n\nThe `AI_JSONParseError` is not classified as a retryable error in the current implementation:\n\n1. **In `retry-fetch.ts`**: Only handles HTTP 429 responses and network errors (ConnectionClosed, ECONNRESET, etc.)\n2. **In `message-v2.ts`**: Only classifies these errors as retryable:\n - `APICallError` with `isRetryable: true`\n - `TimeoutError`\n - `SocketConnectionError`\n3. **AI_JSONParseError** falls through to `NamedError.Unknown` which is **not retryable**\n\n### Tertiary Root Cause: Error Misclassification\n\nThe solve script detected the error pattern \"Tool execution aborted\" and misclassified it as `UsageLimit`, exiting the retry loop:\n\n```json\n{\n \"errorType\": \"UsageLimit\",\n \"errorMatch\": \"Tool execution aborted\",\n \"limitReached\": true\n}\n```\n\n## Technical Deep Dive\n\n### SSE Parsing Issue\n\nAccording to [OpenRouter SSE Streaming Documentation](https://openrouter.ai/docs/api/reference/streaming):\n\n> \"Some SSE client implementations might not parse the payload according to spec... leads to an uncaught error when you JSON.stringify the non-JSON payloads.\"\n\nThe Vercel AI SDK handles SSE parsing internally. When the Kimi API returns malformed JSON (possibly due to response concatenation at the OpenRouter proxy level), the SDK throws `AI_JSONParseError`.\n\n### Error Flow\n\n```\nKimi API → OpenRouter → Malformed SSE → AI SDK → AI_JSONParseError\n ↓\n MessageV2.fromError() → NamedError.Unknown\n ↓\n processor.ts checks: isRetryableAPIError? NO\n ↓\n Error published, session terminated\n```\n\n### Vercel AI SDK Behavior\n\nPer [GitHub Issue #4099](https://github.com/vercel/ai/issues/4099):\n\n> \"The error will happen after the function in your example has returned the stream text result... The error happens during the consumption of the stream, not during the creation.\"\n\nThis means:\n1. Stream parsing errors occur asynchronously during consumption\n2. They cannot be caught by wrapping `streamText()` in try/catch\n3. Errors flow through the stream's `fullStream` or `onError` callback\n\n## Contributing Factors\n\n1. **Kimi K2.5 Free Tier**: Higher error rates due to rate limiting and provider routing\n2. **OpenRouter Proxy**: Can introduce SSE parsing issues when proxying streams\n3. **No Response Healing**: OpenRouter's [Response Healing](https://openrouter.ai/docs/guides/features/plugins/response-healing) feature could help but may not be enabled\n4. **AI SDK Default Retries**: Default `maxRetries: 2` may not apply to stream consumption errors\n\n## Comparison with Expected Behavior\n\n| Aspect | Expected | Actual |\n|--------|----------|--------|\n| Retry duration | 7 days | ~5 minutes |\n| Error handling | Retry all transient errors | Only HTTP 429 and network errors |\n| JSONParseError | Should retry (transient) | Not retried (treated as fatal) |\n| Error classification | Accurate | Misclassified as UsageLimit |\n\n## Related Issues and PRs\n\n- [OpenCode #11541](https://github.com/anomalyco/opencode/issues/11541): Kimi K2.5 with OpenRouter errors\n- [OpenCode #11596](https://github.com/anomalyco/opencode/pull/11596): Fix for Kimi K2.5 reasoning field errors\n- [Vercel AI #4099](https://github.com/vercel/ai/issues/4099): streamText error handling\n- [Vercel AI #12585](https://github.com/vercel/ai/issues/12585): AI SDK ignores retry-after headers (related)\n\n## Recommendations\n\n### Short-term Fixes\n\n1. **Add AI_JSONParseError to retryable errors**:\n ```typescript\n // In message-v2.ts fromError()\n case e?.name === 'AI_JSONParseError':\n return new MessageV2.APIError({\n message: e.message,\n statusCode: 500, // Treat as server error\n isRetryable: true, // Mark as retryable\n responseHeaders: {},\n responseBody: e.text,\n }, { cause: e }).toObject();\n ```\n\n2. **Use AI SDK's onError callback** for better stream error handling\n\n3. **Implement stream-level retry** that wraps the entire stream consumption\n\n### Long-term Fixes\n\n1. **Create JSONParseError error class** with `isRetryable: true`\n2. **Improve error classification** in solve script to distinguish transient from permanent errors\n3. **Add response validation** before parsing\n4. **Consider enabling OpenRouter's Response Healing** for free tier models\n\n### Configuration\n\nAdd environment variable to control JSONParseError retry behavior:\n```bash\nAGENT_RETRY_JSON_PARSE_ERRORS=true\n```\n\n## Files to Modify\n\n1. `js/src/session/message-v2.ts` - Add JSONParseError handling in `fromError()`\n2. `js/src/session/processor.ts` - Add JSONParseError to retryable error checks\n3. `js/src/provider/retry-fetch.ts` - Consider adding stream-level retry wrapper\n\n## External Reports Needed\n\n1. **OpenRouter**: Report malformed SSE response issue with Kimi K2.5\n2. **Vercel AI SDK**: Clarify retry behavior for JSONParseError (or propose making it retryable)\n\n## Conclusion\n\nThe \"premature failure\" was caused by an unhandled stream parsing error (`AI_JSONParseError`) that the retry logic doesn't recognize as retryable. The 7-day retry window works correctly for HTTP 429 rate limits but doesn't cover all transient error types. The fix requires extending the retryable error classification to include stream parsing errors that are typically transient and recoverable upon retry.\n", | |
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| [2026-02-14T10:48:08.915Z] [INFO] { | |
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| "model": "claude-opus-4-6", | |
| "id": "msg_01YGSYX425zajVfdTM4YPUSD", | |
| "type": "message", | |
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| { | |
| "type": "text", | |
| "text": "Now I understand the full picture. The reviewer (konard) has provided critical feedback:\n\n1. **Wrong analysis**: The existing analysis says \"OpenRouter\" but they use \"OpenCode Zen\"\n2. **Not just about retry**: The reviewer says \"there's no retry-able error here\" — they want root cause prevention, not just retry\n3. **Need to study other CLI agents**: opencode, gemini-cli, qwen-code, codex\n4. **Need deeper case study** with proper timeline reconstruction\n5. **File issues to responsible parties**\n\nLet me now study the actual log and the codebase more carefully, then research the other CLI agents." | |
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| [2026-02-14T10:48:17.058Z] [INFO] { | |
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| "content": "Search online for additional facts about AI_JSONParseError and SSE stream corruption", | |
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| "activeForm": "Searching online for additional facts" | |
| }, | |
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| "content": "File issues to responsible parties (Vercel AI SDK, Moonshot/Kimi provider, etc.) if not yet filed", | |
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| [2026-02-14T10:48:17.068Z] [INFO] { | |
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| "type": "tool_result", | |
| "content": "Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable" | |
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| "status": "pending", | |
| "activeForm": "Finalizing PR" | |
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| ], | |
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| { | |
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| "activeForm": "Searching online for additional facts" | |
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| { | |
| "content": "File issues to responsible parties (Vercel AI SDK, Moonshot/Kimi provider, etc.) if not yet filed", | |
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| "activeForm": "Filing issues to responsible parties" | |
| }, | |
| { | |
| "content": "Propose solutions and workarounds based on analysis of other agents", | |
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| "activeForm": "Updating case study documentation" | |
| }, | |
| { | |
| "content": "Update code implementation based on findings", | |
| "status": "pending", | |
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| "status": "pending", | |
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| "content": "Finalize PR - update description, commit, push", | |
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| } | |
| ] | |
| } | |
| } | |
| [2026-02-14T10:48:20.544Z] [INFO] { | |
| "type": "assistant", | |
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| "model": "claude-opus-4-6", | |
| "id": "msg_01QHfwpfYA4nLVeq4Rnw2nVM", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": "Let me first understand what \"OpenCode Zen\" is by looking at the project's provider configuration, and then clone the four CLI agents in parallel for analysis." | |
| } | |
| ], | |
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| [2026-02-14T10:48:30.104Z] [INFO] { | |
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| { | |
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| "command": "find /tmp/gh-issue-solver-1771066033892 -type f -name \"*.ts\" -o -name \"*.js\" -o -name \"*.json\" | head -30", | |
| "description": "List TypeScript, JavaScript and JSON files to understand structure" | |
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| { | |
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| "content": "Found 23 files\njs/src/session/message-v2.ts\njs/tests/session-usage.test.ts\njs/src/tool/task.ts\njs/src/session/index.ts\njs/src/session/prompt.ts\njs/src/provider/provider.ts\njs/src/provider/transform.ts\njs/src/json-standard/index.ts\njs/src/mcp/index.ts\njs/src/project/project.ts\njs/src/provider/cache.ts\njs/src/config/config.ts\njs/src/file/ripgrep.ts\njs/src/cli/cmd/auth.ts\njs/src/cli/cmd/mcp.ts\njs/src/cli/cmd/run.ts\njs/src/cli/error.ts\njs/src/auth/plugins.ts\njs/src/cli/cmd/agent.ts\njs/experiments/socket-error-simulation.ts\njs/experiments/test-model-routing.ts\njs/docs/case-studies/issue-131/index.ts\ndocs/case-studies/issue-165/data/provider.ts" | |
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| { | |
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| "content": "Found 2 files\njs/src/provider/provider.ts\ndocs/case-studies/issue-165/data/provider.ts" | |
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| [2026-02-14T10:48:30.379Z] [INFO] { | |
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| [2026-02-14T10:48:30.380Z] [INFO] { | |
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| { | |
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| "content": "Found 5 files\njs/src/provider/provider.ts\njs/src/config/config.ts\njs/src/cli/cmd/auth.ts\nexperiments/issue-152/reproduce-error.ts\ndocs/case-studies/issue-165/data/provider.ts" | |
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| [2026-02-14T10:48:30.381Z] [INFO] { | |
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| "text": "Clone the opencode repository and analyze how it handles AI_JSONParseError and SSE stream parsing errors.\n\n1. Clone: git clone --depth=1 https://github.com/anomalyco/opencode /tmp/opencode-analysis 2>&1\n If the clone fails (repo may have been renamed), try: git clone --depth=1 https://github.com/sst/opencode /tmp/opencode-analysis 2>&1\n2. Search for how they handle:\n - AI_JSONParseError or JSONParseError\n - Stream parsing errors\n - SSE parsing\n - Retry logic for streaming errors\n - Any custom SSE parser implementation\n3. Look at their error handling in the streaming/session/provider code\n4. Check their retry mechanism\n\nReport exact file paths, line numbers, and relevant code snippets showing how they handle these scenarios." | |
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| [2026-02-14T10:48:32.463Z] [INFO] { | |
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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": "toolu_01FcLcU7YYcVMSauAk9bBBY1", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "d7ca9c7b-2a22-4625-a929-dad6aeca9e6f" | |
| } | |
| [2026-02-14T10:48:32.467Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01GjCAda4scHoppUUh1enVSi", | |
| "type": "tool_result", | |
| "content": " 1→import { Log } from '../util/log';\n 2→import path from 'path';\n 3→import os from 'os';\n 4→import z from 'zod';\n 5→import { Filesystem } from '../util/filesystem';\n 6→import { ModelsDev } from '../provider/models';\n 7→import { mergeDeep, pipe } from 'remeda';\n 8→import { Global } from '../global';\n 9→import fs from 'fs/promises';\n 10→import { lazy } from '../util/lazy';\n 11→import { NamedError } from '../util/error';\n 12→import { Flag } from '../flag/flag';\n 13→import { Auth } from '../auth';\n 14→import {\n 15→ type ParseError as JsoncParseError,\n 16→ parse as parseJsonc,\n 17→ printParseErrorCode,\n 18→} from 'jsonc-parser';\n 19→import { Instance } from '../project/instance';\n 20→import { ConfigMarkdown } from './markdown';\n 21→\n 22→export namespace Config {\n 23→ const log = Log.create({ service: 'config' });\n 24→\n 25→ /**\n 26→ * Automatically migrate .opencode directories to .link-assistant-agent\n 27→ * This ensures a smooth transition for both file system configs and environment variables.\n 28→ * Once .link-assistant-agent exists, we stop reading from .opencode.\n 29→ */\n 30→ async function migrateConfigDirectories() {\n 31→ // Find all .opencode and .link-assistant-agent directories in the project hierarchy\n 32→ const allDirs = await Array.fromAsync(\n 33→ Filesystem.up({\n 34→ targets: ['.link-assistant-agent', '.opencode'],\n 35→ start: Instance.directory,\n 36→ stop: Instance.worktree,\n 37→ })\n 38→ );\n 39→\n 40→ const newConfigDirs = allDirs.filter((d) =>\n 41→ d.endsWith('.link-assistant-agent')\n 42→ );\n 43→ const oldConfigDirs = allDirs.filter((d) => d.endsWith('.opencode'));\n 44→\n 45→ // For each old config directory, check if there's a corresponding new one\n 46→ for (const oldDir of oldConfigDirs) {\n 47→ const parentDir = path.dirname(oldDir);\n 48→ const newDir = path.join(parentDir, '.link-assistant-agent');\n 49→\n 50→ // Check if the new directory already exists at the same level\n 51→ const newDirExists = newConfigDirs.includes(newDir);\n 52→\n 53→ if (!newDirExists) {\n 54→ try {\n 55→ // Perform migration by copying the entire directory\n 56→ log.info(() => ({\n 57→ message: `Migrating config from ${oldDir} to ${newDir} for smooth transition`,\n 58→ }));\n 59→\n 60→ // Use fs-extra style recursive copy\n 61→ await copyDirectory(oldDir, newDir);\n 62→\n 63→ log.info(() => ({\n 64→ message: `Successfully migrated config to ${newDir}`,\n 65→ }));\n 66→ } catch (error) {\n 67→ log.error(() => ({\n 68→ message: `Failed to migrate config from ${oldDir}:`,\n 69→ error,\n 70→ }));\n 71→ // Don't throw - allow the app to continue with the old config\n 72→ }\n 73→ }\n 74→ }\n 75→\n 76→ // Also migrate global config if needed\n 77→ const oldGlobalPath = path.join(os.homedir(), '.config', 'opencode');\n 78→ const newGlobalPath = Global.Path.config;\n 79→\n 80→ try {\n 81→ const oldGlobalExists = await fs\n 82→ .stat(oldGlobalPath)\n 83→ .then(() => true)\n 84→ .catch(() => false);\n 85→ const newGlobalExists = await fs\n 86→ .stat(newGlobalPath)\n 87→ .then(() => true)\n 88→ .catch(() => false);\n 89→\n 90→ if (oldGlobalExists && !newGlobalExists) {\n 91→ log.info(() => ({\n 92→ message: `Migrating global config from ${oldGlobalPath} to ${newGlobalPath}`,\n 93→ }));\n 94→ await copyDirectory(oldGlobalPath, newGlobalPath);\n 95→ log.info(() => ({\n 96→ message: `Successfully migrated global config to ${newGlobalPath}`,\n 97→ }));\n 98→ }\n 99→ } catch (error) {\n 100→ log.error(() => ({\n 101→ message: 'Failed to migrate global config:',\n 102→ error,\n 103→ }));\n 104→ // Don't throw - allow the app to continue\n 105→ }\n 106→ }\n 107→\n 108→ /**\n 109→ * Recursively copy a directory and all its contents\n 110→ */\n 111→ async function copyDirectory(src: string, dest: string) {\n 112→ // Create destination directory\n 113→ await fs.mkdir(dest, { recursive: true });\n 114→\n 115→ // Read all entries in source directory\n 116→ const entries = await fs.readdir(src, { withFileTypes: true });\n 117→\n 118→ for (const entry of entries) {\n 119→ const srcPath = path.join(src, entry.name);\n 120→ const destPath = path.join(dest, entry.name);\n 121→\n 122→ if (entry.isDirectory()) {\n 123→ // Recursively copy subdirectories\n 124→ await copyDirectory(srcPath, destPath);\n 125→ } else if (entry.isFile() || entry.isSymbolicLink()) {\n 126→ // Copy files\n 127→ await fs.copyFile(srcPath, destPath);\n 128→ }\n 129→ }\n 130→ }\n 131→\n 132→ export const state = Instance.state(async () => {\n 133→ const auth = await Auth.all();\n 134→ let result = await global();\n 135→\n 136→ // Override with custom config if provided\n 137→ if (Flag.OPENCODE_CONFIG) {\n 138→ result = mergeDeep(result, await loadFile(Flag.OPENCODE_CONFIG));\n 139→ log.debug(() => ({\n 140→ message: 'loaded custom config',\n 141→ path: Flag.OPENCODE_CONFIG,\n 142→ }));\n 143→ }\n 144→\n 145→ for (const file of ['opencode.jsonc', 'opencode.json']) {\n 146→ const found = await Filesystem.findUp(\n 147→ file,\n 148→ Instance.directory,\n 149→ Instance.worktree\n 150→ );\n 151→ for (const resolved of found.toReversed()) {\n 152→ result = mergeDeep(result, await loadFile(resolved));\n 153→ }\n 154→ }\n 155→\n 156→ if (Flag.OPENCODE_CONFIG_CONTENT) {\n 157→ result = mergeDeep(result, JSON.parse(Flag.OPENCODE_CONFIG_CONTENT));\n 158→ log.debug(() => ({\n 159→ message: 'loaded custom config from OPENCODE_CONFIG_CONTENT',\n 160→ }));\n 161→ }\n 162→\n 163→ for (const [key, value] of Object.entries(auth)) {\n 164→ if (value.type === 'wellknown') {\n 165→ process.env[value.key] = value.token;\n 166→ const wellknown = (await fetch(`${key}/.well-known/opencode`).then(\n 167→ (x) => x.json()\n 168→ )) as any;\n 169→ result = mergeDeep(\n 170→ result,\n 171→ await load(JSON.stringify(wellknown.config ?? {}), process.cwd())\n 172→ );\n 173→ }\n 174→ }\n 175→\n 176→ result.agent = result.agent || {};\n 177→ result.mode = result.mode || {};\n 178→\n 179→ // Perform automatic migration from .opencode to .link-assistant-agent if needed\n 180→ await migrateConfigDirectories();\n 181→\n 182→ // Find all config directories\n 183→ const foundDirs = await Array.fromAsync(\n 184→ Filesystem.up({\n 185→ targets: ['.link-assistant-agent', '.opencode'],\n 186→ start: Instance.directory,\n 187→ stop: Instance.worktree,\n 188→ })\n 189→ );\n 190→\n 191→ // Check if any .link-assistant-agent directory exists\n 192→ const hasNewConfig = foundDirs.some((d) =>\n 193→ d.endsWith('.link-assistant-agent')\n 194→ );\n 195→\n 196→ // Filter out .opencode directories if .link-assistant-agent exists\n 197→ const filteredDirs = foundDirs.filter((dir) => {\n 198→ // If .link-assistant-agent exists, exclude .opencode directories\n 199→ if (hasNewConfig && dir.endsWith('.opencode')) {\n 200→ log.debug(() => ({\n 201→ message:\n 202→ 'Skipping .opencode directory (using .link-assistant-agent):',\n 203→ path: dir,\n 204→ }));\n 205→ return false;\n 206→ }\n 207→ return true;\n 208→ });\n 209→\n 210→ const directories = [Global.Path.config, ...filteredDirs];\n 211→\n 212→ if (Flag.OPENCODE_CONFIG_DIR) {\n 213→ directories.push(Flag.OPENCODE_CONFIG_DIR);\n 214→ log.debug(() => ({\n 215→ message: 'loading config from LINK_ASSISTANT_AGENT_CONFIG_DIR',\n 216→ path: Flag.OPENCODE_CONFIG_DIR,\n 217→ }));\n 218→ }\n 219→\n 220→ const promises: Promise<void>[] = [];\n 221→ for (const dir of directories) {\n 222→ await assertValid(dir);\n 223→\n 224→ if (\n 225→ dir.endsWith('.link-assistant-agent') ||\n 226→ dir.endsWith('.opencode') ||\n 227→ dir === Flag.OPENCODE_CONFIG_DIR\n 228→ ) {\n 229→ for (const file of ['opencode.jsonc', 'opencode.json']) {\n 230→ log.debug(() => ({\n 231→ message: `loading config from ${path.join(dir, file)}`,\n 232→ }));\n 233→ result = mergeDeep(result, await loadFile(path.join(dir, file)));\n 234→ // to satisy the type checker\n 235→ result.agent ??= {};\n 236→ result.mode ??= {};\n 237→ }\n 238→ }\n 239→\n 240→ promises.push(installDependencies(dir));\n 241→ result.command = mergeDeep(result.command ?? {}, await loadCommand(dir));\n 242→ result.agent = mergeDeep(result.agent, await loadAgent(dir));\n 243→ result.agent = mergeDeep(result.agent, await loadMode(dir));\n 244→ }\n 245→ await Promise.allSettled(promises);\n 246→\n 247→ // Migrate deprecated mode field to agent field\n 248→ for (const [name, mode] of Object.entries(result.mode)) {\n 249→ result.agent = mergeDeep(result.agent ?? {}, {\n 250→ [name]: {\n 251→ ...mode,\n 252→ mode: 'primary' as const,\n 253→ },\n 254→ });\n 255→ }\n 256→\n 257→ // Permission system removed\n 258→ // Share/autoshare removed - no sharing support\n 259→\n 260→ if (!result.username) result.username = os.userInfo().username;\n 261→\n 262→ if (!result.keybinds) result.keybinds = Info.shape.keybinds.parse({});\n 263→\n 264→ return {\n 265→ config: result,\n 266→ directories,\n 267→ };\n 268→ });\n 269→\n 270→ const INVALID_DIRS = new Bun.Glob(\n 271→ `{${['agents', 'commands', 'tools'].join(',')}}/`\n 272→ );\n 273→ async function assertValid(dir: string) {\n 274→ const invalid = await Array.fromAsync(\n 275→ INVALID_DIRS.scan({\n 276→ onlyFiles: false,\n 277→ cwd: dir,\n 278→ })\n 279→ );\n 280→ for (const item of invalid) {\n 281→ throw new ConfigDirectoryTypoError({\n 282→ path: dir,\n 283→ dir: item,\n 284→ suggestion: item.substring(0, item.length - 1),\n 285→ });\n 286→ }\n 287→ }\n 288→\n 289→ async function installDependencies(dir: string) {\n 290→ // Dependency installation removed - no plugin support\n 291→ }\n 292→\n 293→ const COMMAND_GLOB = new Bun.Glob('command/**/*.md');\n 294→ async function loadCommand(dir: string) {\n 295→ const result: Record<string, Command> = {};\n 296→ for await (const item of COMMAND_GLOB.scan({\n 297→ absolute: true,\n 298→ followSymlinks: true,\n 299→ dot: true,\n 300→ cwd: dir,\n 301→ })) {\n 302→ const md = await ConfigMarkdown.parse(item);\n 303→ if (!md.data) continue;\n 304→\n 305→ const name = (() => {\n 306→ const patterns = [\n 307→ '/.link-assistant-agent/command/',\n 308→ '/.opencode/command/',\n 309→ '/command/',\n 310→ ];\n 311→ const pattern = patterns.find((p) => item.includes(p));\n 312→\n 313→ if (pattern) {\n 314→ const index = item.indexOf(pattern);\n 315→ return item.slice(index + pattern.length, -3);\n 316→ }\n 317→ return path.basename(item, '.md');\n 318→ })();\n 319→\n 320→ const config = {\n 321→ name,\n 322→ ...md.data,\n 323→ template: md.content.trim(),\n 324→ };\n 325→ const parsed = Command.safeParse(config);\n 326→ if (parsed.success) {\n 327→ result[config.name] = parsed.data;\n 328→ continue;\n 329→ }\n 330→ throw new InvalidError({ path: item }, { cause: parsed.error });\n 331→ }\n 332→ return result;\n 333→ }\n 334→\n 335→ const AGENT_GLOB = new Bun.Glob('agent/**/*.md');\n 336→ async function loadAgent(dir: string) {\n 337→ const result: Record<string, Agent> = {};\n 338→\n 339→ for await (const item of AGENT_GLOB.scan({\n 340→ absolute: true,\n 341→ followSymlinks: true,\n 342→ dot: true,\n 343→ cwd: dir,\n 344→ })) {\n 345→ const md = await ConfigMarkdown.parse(item);\n 346→ if (!md.data) continue;\n 347→\n 348→ // Extract relative path from agent folder for nested agents\n 349→ let agentName = path.basename(item, '.md');\n 350→ const agentFolderPath = item.includes('/.link-assistant-agent/agent/')\n 351→ ? item.split('/.link-assistant-agent/agent/')[1]\n 352→ : item.includes('/.opencode/agent/')\n 353→ ? item.split('/.opencode/agent/')[1]\n 354→ : item.includes('/agent/')\n 355→ ? item.split('/agent/')[1]\n 356→ : agentName + '.md';\n 357→\n 358→ // If agent is in a subfolder, include folder path in name\n 359→ if (agentFolderPath.includes('/')) {\n 360→ const relativePath = agentFolderPath.replace('.md', '');\n 361→ const pathParts = relativePath.split('/');\n 362→ agentName =\n 363→ pathParts.slice(0, -1).join('/') +\n 364→ '/' +\n 365→ pathParts[pathParts.length - 1];\n 366→ }\n 367→\n 368→ const config = {\n 369→ name: agentName,\n 370→ ...md.data,\n 371→ prompt: md.content.trim(),\n 372→ };\n 373→ const parsed = Agent.safeParse(config);\n 374→ if (parsed.success) {\n 375→ result[config.name] = parsed.data;\n 376→ continue;\n 377→ }\n 378→ throw new InvalidError({ path: item }, { cause: parsed.error });\n 379→ }\n 380→ return result;\n 381→ }\n 382→\n 383→ const MODE_GLOB = new Bun.Glob('mode/*.md');\n 384→ async function loadMode(dir: string) {\n 385→ const result: Record<string, Agent> = {};\n 386→ for await (const item of MODE_GLOB.scan({\n 387→ absolute: true,\n 388→ followSymlinks: true,\n 389→ dot: true,\n 390→ cwd: dir,\n 391→ })) {\n 392→ const md = await ConfigMarkdown.parse(item);\n 393→ if (!md.data) continue;\n 394→\n 395→ const config = {\n 396→ name: path.basename(item, '.md'),\n 397→ ...md.data,\n 398→ prompt: md.content.trim(),\n 399→ };\n 400→ const parsed = Agent.safeParse(config);\n 401→ if (parsed.success) {\n 402→ result[config.name] = {\n 403→ ...parsed.data,\n 404→ mode: 'primary' as const,\n 405→ };\n 406→ continue;\n 407→ }\n 408→ }\n 409→ return result;\n 410→ }\n 411→\n 412→ export const McpLocal = z\n 413→ .object({\n 414→ type: z.literal('local').describe('Type of MCP server connection'),\n 415→ command: z\n 416→ .string()\n 417→ .array()\n 418→ .describe('Command and arguments to run the MCP server'),\n 419→ environment: z\n 420→ .record(z.string(), z.string())\n 421→ .optional()\n 422→ .describe('Environment variables to set when running the MCP server'),\n 423→ enabled: z\n 424→ .boolean()\n 425→ .optional()\n 426→ .describe('Enable or disable the MCP server on startup'),\n 427→ timeout: z\n 428→ .number()\n 429→ .int()\n 430→ .positive()\n 431→ .optional()\n 432→ .describe(\n 433→ 'Timeout in ms for fetching tools from the MCP server. Defaults to 5000 (5 seconds) if not specified.'\n 434→ ),\n 435→ tool_call_timeout: z\n 436→ .number()\n 437→ .int()\n 438→ .positive()\n 439→ .optional()\n 440→ .describe(\n 441→ 'Default timeout in ms for MCP tool execution. Defaults to 120000 (2 minutes) if not specified. Set per-tool overrides in tool_timeouts.'\n 442→ ),\n 443→ tool_timeouts: z\n 444→ .record(z.string(), z.number().int().positive())\n 445→ .optional()\n 446→ .describe(\n 447→ 'Per-tool timeout overrides in ms. Keys are tool names (e.g., \"browser_run_code\": 300000 for 5 minutes).'\n 448→ ),\n 449→ })\n 450→ .strict()\n 451→ .meta({\n 452→ ref: 'McpLocalConfig',\n 453→ });\n 454→\n 455→ export const McpRemote = z\n 456→ .object({\n 457→ type: z.literal('remote').describe('Type of MCP server connection'),\n 458→ url: z.string().describe('URL of the remote MCP server'),\n 459→ enabled: z\n 460→ .boolean()\n 461→ .optional()\n 462→ .describe('Enable or disable the MCP server on startup'),\n 463→ headers: z\n 464→ .record(z.string(), z.string())\n 465→ .optional()\n 466→ .describe('Headers to send with the request'),\n 467→ timeout: z\n 468→ .number()\n 469→ .int()\n 470→ .positive()\n 471→ .optional()\n 472→ .describe(\n 473→ 'Timeout in ms for fetching tools from the MCP server. Defaults to 5000 (5 seconds) if not specified.'\n 474→ ),\n 475→ tool_call_timeout: z\n 476→ .number()\n 477→ .int()\n 478→ .positive()\n 479→ .optional()\n 480→ .describe(\n 481→ 'Default timeout in ms for MCP tool execution. Defaults to 120000 (2 minutes) if not specified. Set per-tool overrides in tool_timeouts.'\n 482→ ),\n 483→ tool_timeouts: z\n 484→ .record(z.string(), z.number().int().positive())\n 485→ .optional()\n 486→ .describe(\n 487→ 'Per-tool timeout overrides in ms. Keys are tool names (e.g., \"browser_run_code\": 300000 for 5 minutes).'\n 488→ ),\n 489→ })\n 490→ .strict()\n 491→ .meta({\n 492→ ref: 'McpRemoteConfig',\n 493→ });\n 494→\n 495→ export const Mcp = z.discriminatedUnion('type', [McpLocal, McpRemote]);\n 496→ export type Mcp = z.infer<typeof Mcp>;\n 497→\n 498→ export const Permission = z.enum(['ask', 'allow', 'deny']);\n 499→ export type Permission = z.infer<typeof Permission>;\n 500→\n 501→ export const Command = z.object({\n 502→ template: z.string(),\n 503→ description: z.string().optional(),\n 504→ agent: z.string().optional(),\n 505→ model: z.string().optional(),\n 506→ subtask: z.boolean().optional(),\n 507→ });\n 508→ export type Command = z.infer<typeof Command>;\n 509→\n 510→ export const Agent = z\n 511→ .object({\n 512→ model: z.string().optional(),\n 513→ temperature: z.number().optional(),\n 514→ top_p: z.number().optional(),\n 515→ prompt: z.string().optional(),\n 516→ tools: z.record(z.string(), z.boolean()).optional(),\n 517→ disable: z.boolean().optional(),\n 518→ description: z\n 519→ .string()\n 520→ .optional()\n 521→ .describe('Description of when to use the agent'),\n 522→ mode: z.enum(['subagent', 'primary', 'all']).optional(),\n 523→ color: z\n 524→ .string()\n 525→ .regex(/^#[0-9a-fA-F]{6}$/, 'Invalid hex color format')\n 526→ .optional()\n 527→ .describe('Hex color code for the agent (e.g., #FF5733)'),\n 528→ permission: z\n 529→ .object({\n 530→ edit: Permission.optional(),\n 531→ bash: z\n 532→ .union([Permission, z.record(z.string(), Permission)])\n 533→ .optional(),\n 534→ webfetch: Permission.optional(),\n 535→ doom_loop: Permission.optional(),\n 536→ external_directory: Permission.optional(),\n 537→ })\n 538→ .optional(),\n 539→ })\n 540→ .catchall(z.any())\n 541→ .meta({\n 542→ ref: 'AgentConfig',\n 543→ });\n 544→ export type Agent = z.infer<typeof Agent>;\n 545→\n 546→ export const Keybinds = z\n 547→ .object({\n 548→ leader: z\n 549→ .string()\n 550→ .optional()\n 551→ .default('ctrl+x')\n 552→ .describe('Leader key for keybind combinations'),\n 553→ app_exit: z\n 554→ .string()\n 555→ .optional()\n 556→ .default('ctrl+c,ctrl+d,<leader>q')\n 557→ .describe('Exit the application'),\n 558→ editor_open: z\n 559→ .string()\n 560→ .optional()\n 561→ .default('<leader>e')\n 562→ .describe('Open external editor'),\n 563→ theme_list: z\n 564→ .string()\n 565→ .optional()\n 566→ .default('<leader>t')\n 567→ .describe('List available themes'),\n 568→ sidebar_toggle: z\n 569→ .string()\n 570→ .optional()\n 571→ .default('<leader>b')\n 572→ .describe('Toggle sidebar'),\n 573→ status_view: z\n 574→ .string()\n 575→ .optional()\n 576→ .default('<leader>s')\n 577→ .describe('View status'),\n 578→ session_export: z\n 579→ .string()\n 580→ .optional()\n 581→ .default('<leader>x')\n 582→ .describe('Export session to editor'),\n 583→ session_new: z\n 584→ .string()\n 585→ .optional()\n 586→ .default('<leader>n')\n 587→ .describe('Create a new session'),\n 588→ session_list: z\n 589→ .string()\n 590→ .optional()\n 591→ .default('<leader>l')\n 592→ .describe('List all sessions'),\n 593→ session_timeline: z\n 594→ .string()\n 595→ .optional()\n 596→ .default('<leader>g')\n 597→ .describe('Show session timeline'),\n 598→ session_interrupt: z\n 599→ .string()\n 600→ .optional()\n 601→ .default('escape')\n 602→ .describe('Interrupt current session'),\n 603→ session_compact: z\n 604→ .string()\n 605→ .optional()\n 606→ .default('<leader>c')\n 607→ .describe('Compact the session'),\n 608→ messages_page_up: z\n 609→ .string()\n 610→ .optional()\n 611→ .default('pageup')\n 612→ .describe('Scroll messages up by one page'),\n 613→ messages_page_down: z\n 614→ .string()\n 615→ .optional()\n 616→ .default('pagedown')\n 617→ .describe('Scroll messages down by one page'),\n 618→ messages_half_page_up: z\n 619→ .string()\n 620→ .optional()\n 621→ .default('ctrl+alt+u')\n 622→ .describe('Scroll messages up by half page'),\n 623→ messages_half_page_down: z\n 624→ .string()\n 625→ .optional()\n 626→ .default('ctrl+alt+d')\n 627→ .describe('Scroll messages down by half page'),\n 628→ messages_first: z\n 629→ .string()\n 630→ .optional()\n 631→ .default('ctrl+g,home')\n 632→ .describe('Navigate to first message'),\n 633→ messages_last: z\n 634→ .string()\n 635→ .optional()\n 636→ .default('ctrl+alt+g,end')\n 637→ .describe('Navigate to last message'),\n 638→ messages_copy: z\n 639→ .string()\n 640→ .optional()\n 641→ .default('<leader>y')\n 642→ .describe('Copy message'),\n 643→ messages_undo: z\n 644→ .string()\n 645→ .optional()\n 646→ .default('<leader>u')\n 647→ .describe('Undo message'),\n 648→ messages_redo: z\n 649→ .string()\n 650→ .optional()\n 651→ .default('<leader>r')\n 652→ .describe('Redo message'),\n 653→ messages_toggle_conceal: z\n 654→ .string()\n 655→ .optional()\n 656→ .default('<leader>h')\n 657→ .describe('Toggle code block concealment in messages'),\n 658→ model_list: z\n 659→ .string()\n 660→ .optional()\n 661→ .default('<leader>m')\n 662→ .describe('List available models'),\n 663→ model_cycle_recent: z\n 664→ .string()\n 665→ .optional()\n 666→ .default('f2')\n 667→ .describe('Next recently used model'),\n 668→ model_cycle_recent_reverse: z\n 669→ .string()\n 670→ .optional()\n 671→ .default('shift+f2')\n 672→ .describe('Previous recently used model'),\n 673→ command_list: z\n 674→ .string()\n 675→ .optional()\n 676→ .default('ctrl+p')\n 677→ .describe('List available commands'),\n 678→ agent_list: z\n 679→ .string()\n 680→ .optional()\n 681→ .default('<leader>a')\n 682→ .describe('List agents'),\n 683→ agent_cycle: z.string().optional().default('tab').describe('Next agent'),\n 684→ agent_cycle_reverse: z\n 685→ .string()\n 686→ .optional()\n 687→ .default('shift+tab')\n 688→ .describe('Previous agent'),\n 689→ input_clear: z\n 690→ .string()\n 691→ .optional()\n 692→ .default('ctrl+c')\n 693→ .describe('Clear input field'),\n 694→ input_forward_delete: z\n 695→ .string()\n 696→ .optional()\n 697→ .default('ctrl+d')\n 698→ .describe('Forward delete'),\n 699→ input_paste: z\n 700→ .string()\n 701→ .optional()\n 702→ .default('ctrl+v')\n 703→ .describe('Paste from clipboard'),\n 704→ input_submit: z\n 705→ .string()\n 706→ .optional()\n 707→ .default('return')\n 708→ .describe('Submit input'),\n 709→ input_newline: z\n 710→ .string()\n 711→ .optional()\n 712→ .default('shift+return,ctrl+j')\n 713→ .describe('Insert newline in input'),\n 714→ history_previous: z\n 715→ .string()\n 716→ .optional()\n 717→ .default('up')\n 718→ .describe('Previous history item'),\n 719→ history_next: z\n 720→ .string()\n 721→ .optional()\n 722→ .default('down')\n 723→ .describe('Next history item'),\n 724→ session_child_cycle: z\n 725→ .string()\n 726→ .optional()\n 727→ .default('ctrl+right')\n 728→ .describe('Next child session'),\n 729→ session_child_cycle_reverse: z\n 730→ .string()\n 731→ .optional()\n 732→ .default('ctrl+left')\n 733→ .describe('Previous child session'),\n 734→ })\n 735→ .strict()\n 736→ .meta({\n 737→ ref: 'KeybindsConfig',\n 738→ });\n 739→\n 740→ export const TUI = z.object({\n 741→ scroll_speed: z\n 742→ .number()\n 743→ .min(0.001)\n 744→ .optional()\n 745→ .default(1)\n 746→ .describe('TUI scroll speed'),\n 747→ scroll_acceleration: z\n 748→ .object({\n 749→ enabled: z.boolean().describe('Enable scroll acceleration'),\n 750→ })\n 751→ .optional()\n 752→ .describe('Scroll acceleration settings'),\n 753→ });\n 754→\n 755→ export const Layout = z.enum(['auto', 'stretch']).meta({\n 756→ ref: 'LayoutConfig',\n 757→ });\n 758→ export type Layout = z.infer<typeof Layout>;\n 759→\n 760→ export const Info = z\n 761→ .object({\n 762→ $schema: z\n 763→ .string()\n 764→ .optional()\n 765→ .describe('JSON schema reference for configuration validation'),\n 766→ theme: z\n 767→ .string()\n 768→ .optional()\n 769→ .describe('Theme name to use for the interface'),\n 770→ keybinds: Keybinds.optional().describe('Custom keybind configurations'),\n 771→ tui: TUI.optional().describe('TUI specific settings'),\n 772→ command: z\n 773→ .record(z.string(), Command)\n 774→ .optional()\n 775→ .describe(\n 776→ 'Command configuration, see https://opencode.ai/docs/commands'\n 777→ ),\n 778→ watcher: z\n 779→ .object({\n 780→ ignore: z.array(z.string()).optional(),\n 781→ })\n 782→ .optional(),\n 783→ snapshot: z.boolean().optional(),\n 784→ // share and autoshare fields removed - no sharing support\n 785→ autoupdate: z\n 786→ .boolean()\n 787→ .optional()\n 788→ .describe('Automatically update to the latest version'),\n 789→ disabled_providers: z\n 790→ .array(z.string())\n 791→ .optional()\n 792→ .describe('Disable providers that are loaded automatically'),\n 793→ model: z\n 794→ .string()\n 795→ .describe(\n 796→ 'Model to use in the format of provider/model, eg anthropic/claude-2'\n 797→ )\n 798→ .optional(),\n 799→ small_model: z\n 800→ .string()\n 801→ .describe(\n 802→ 'Small model to use for tasks like title generation in the format of provider/model'\n 803→ )\n 804→ .optional(),\n 805→ username: z\n 806→ .string()\n 807→ .optional()\n 808→ .describe(\n 809→ 'Custom username to display in conversations instead of system username'\n 810→ ),\n 811→ mode: z\n 812→ .object({\n 813→ build: Agent.optional(),\n 814→ plan: Agent.optional(),\n 815→ })\n 816→ .catchall(Agent)\n 817→ .optional()\n 818→ .describe('@deprecated Use `agent` field instead.'),\n 819→ agent: z\n 820→ .object({\n 821→ plan: Agent.optional(),\n 822→ build: Agent.optional(),\n 823→ general: Agent.optional(),\n 824→ })\n 825→ .catchall(Agent)\n 826→ .optional()\n 827→ .describe('Agent configuration, see https://opencode.ai/docs/agent'),\n 828→ provider: z\n 829→ .record(\n 830→ z.string(),\n 831→ ModelsDev.Provider.partial()\n 832→ .extend({\n 833→ models: z\n 834→ .record(z.string(), ModelsDev.Model.partial())\n 835→ .optional(),\n 836→ options: z\n 837→ .object({\n 838→ apiKey: z.string().optional(),\n 839→ baseURL: z.string().optional(),\n 840→ enterpriseUrl: z\n 841→ .string()\n 842→ .optional()\n 843→ .describe(\n 844→ 'GitHub Enterprise URL for copilot authentication'\n 845→ ),\n 846→ timeout: z\n 847→ .union([\n 848→ z\n 849→ .number()\n 850→ .int()\n 851→ .positive()\n 852→ .describe(\n 853→ 'Timeout in milliseconds for requests to this provider. Default is 300000 (5 minutes). Set to false to disable timeout.'\n 854→ ),\n 855→ z\n 856→ .literal(false)\n 857→ .describe(\n 858→ 'Disable timeout for this provider entirely.'\n 859→ ),\n 860→ ])\n 861→ .optional()\n 862→ .describe(\n 863→ 'Timeout in milliseconds for requests to this provider. Default is 300000 (5 minutes). Set to false to disable timeout.'\n 864→ ),\n 865→ })\n 866→ .catchall(z.any())\n 867→ .optional(),\n 868→ })\n 869→ .strict()\n 870→ )\n 871→ .optional()\n 872→ .describe('Custom provider configurations and model overrides'),\n 873→ mcp: z\n 874→ .record(z.string(), Mcp)\n 875→ .optional()\n 876→ .describe('MCP (Model Context Protocol) server configurations'),\n 877→ mcp_defaults: z\n 878→ .object({\n 879→ tool_call_timeout: z\n 880→ .number()\n 881→ .int()\n 882→ .positive()\n 883→ .optional()\n 884→ .describe(\n 885→ 'Global default timeout in ms for MCP tool execution. Defaults to 120000 (2 minutes). Can be overridden per-server or per-tool.'\n 886→ ),\n 887→ max_tool_call_timeout: z\n 888→ .number()\n 889→ .int()\n 890→ .positive()\n 891→ .optional()\n 892→ .describe(\n 893→ 'Maximum allowed timeout in ms for MCP tool execution. Defaults to 600000 (10 minutes). Tool timeouts will be capped at this value.'\n 894→ ),\n 895→ })\n 896→ .optional()\n 897→ .describe(\n 898→ 'Global default settings for MCP tool call timeouts. Can be overridden at the server level.'\n 899→ ),\n 900→ formatter: z\n 901→ .union([\n 902→ z.literal(false),\n 903→ z.record(\n 904→ z.string(),\n 905→ z.object({\n 906→ disabled: z.boolean().optional(),\n 907→ command: z.array(z.string()).optional(),\n 908→ environment: z.record(z.string(), z.string()).optional(),\n 909→ extensions: z.array(z.string()).optional(),\n 910→ })\n 911→ ),\n 912→ ])\n 913→ .optional(),\n 914→ instructions: z\n 915→ .array(z.string())\n 916→ .optional()\n 917→ .describe('Additional instruction files or patterns to include'),\n 918→ layout: Layout.optional().describe(\n 919→ '@deprecated Always uses stretch layout.'\n 920→ ),\n 921→ permission: z\n 922→ .object({\n 923→ edit: Permission.optional(),\n 924→ bash: z\n 925→ .union([Permission, z.record(z.string(), Permission)])\n 926→ .optional(),\n 927→ webfetch: Permission.optional(),\n 928→ doom_loop: Permission.optional(),\n 929→ external_directory: Permission.optional(),\n 930→ })\n 931→ .optional(),\n 932→ tools: z.record(z.string(), z.boolean()).optional(),\n 933→ experimental: z\n 934→ .object({\n 935→ hook: z\n 936→ .object({\n 937→ file_edited: z\n 938→ .record(\n 939→ z.string(),\n 940→ z\n 941→ .object({\n 942→ command: z.string().array(),\n 943→ environment: z.record(z.string(), z.string()).optional(),\n 944→ })\n 945→ .array()\n 946→ )\n 947→ .optional(),\n 948→ session_completed: z\n 949→ .object({\n 950→ command: z.string().array(),\n 951→ environment: z.record(z.string(), z.string()).optional(),\n 952→ })\n 953→ .array()\n 954→ .optional(),\n 955→ })\n 956→ .optional(),\n 957→ chatMaxRetries: z\n 958→ .number()\n 959→ .optional()\n 960→ .describe('Number of retries for chat completions on failure'),\n 961→ disable_paste_summary: z.boolean().optional(),\n 962→ batch_tool: z.boolean().optional().describe('Enable the batch tool'),\n 963→ })\n 964→ .optional(),\n 965→ })\n 966→ .strict()\n 967→ .meta({\n 968→ ref: 'Config',\n 969→ });\n 970→\n 971→ export type Info = z.output<typeof Info>;\n 972→\n 973→ export const global = lazy(async () => {\n 974→ let result: Info = pipe(\n 975→ {},\n 976→ mergeDeep(await loadFile(path.join(Global.Path.config, 'config.json'))),\n 977→ mergeDeep(await loadFile(path.join(Global.Path.config, 'opencode.json'))),\n 978→ mergeDeep(await loadFile(path.join(Global.Path.config, 'opencode.jsonc')))\n 979→ );\n 980→\n 981→ await import(path.join(Global.Path.config, 'config'), {\n 982→ with: {\n 983→ type: 'toml',\n 984→ },\n 985→ })\n 986→ .then(async (mod) => {\n 987→ const { provider, model, ...rest } = mod.default;\n 988→ if (provider && model) result.model = `${provider}/${model}`;\n 989→ result['$schema'] = 'https://opencode.ai/config.json';\n 990→ result = mergeDeep(result, rest);\n 991→ await Bun.write(\n 992→ path.join(Global.Path.config, 'config.json'),\n 993→ JSON.stringify(result, null, 2)\n 994→ );\n 995→ await fs.unlink(path.join(Global.Path.config, 'config'));\n 996→ })\n 997→ .catch(() => {});\n 998→\n 999→ return result;\n 1000→ });\n 1001→\n 1002→ async function loadFile(filepath: string): Promise<Info> {\n 1003→ log.info(() => ({ message: 'loading', path: filepath }));\n 1004→ let text = await Bun.file(filepath)\n 1005→ .text()\n 1006→ .catch((err) => {\n 1007→ if (err.code === 'ENOENT') return;\n 1008→ throw new JsonError({ path: filepath }, { cause: err });\n 1009→ });\n 1010→ if (!text) return {};\n 1011→ return load(text, filepath);\n 1012→ }\n 1013→\n 1014→ async function load(text: string, configFilepath: string) {\n 1015→ text = text.replace(/\\{env:([^}]+)\\}/g, (_, varName) => {\n 1016→ return process.env[varName] || '';\n 1017→ });\n 1018→\n 1019→ const fileMatches = text.match(/\\{file:[^}]+\\}/g);\n 1020→ if (fileMatches) {\n 1021→ const configDir = path.dirname(configFilepath);\n 1022→ const lines = text.split('\\n');\n 1023→\n 1024→ for (const match of fileMatches) {\n 1025→ const lineIndex = lines.findIndex((line) => line.includes(match));\n 1026→ if (lineIndex !== -1 && lines[lineIndex].trim().startsWith('//')) {\n 1027→ continue; // Skip if line is commented\n 1028→ }\n 1029→ let filePath = match.replace(/^\\{file:/, '').replace(/\\}$/, '');\n 1030→ if (filePath.startsWith('~/')) {\n 1031→ filePath = path.join(os.homedir(), filePath.slice(2));\n 1032→ }\n 1033→ const resolvedPath = path.isAbsolute(filePath)\n 1034→ ? filePath\n 1035→ : path.resolve(configDir, filePath);\n 1036→ const fileContent = (\n 1037→ await Bun.file(resolvedPath)\n 1038→ .text()\n 1039→ .catch((error) => {\n 1040→ const errMsg = `bad file reference: \"${match}\"`;\n 1041→ if (error.code === 'ENOENT') {\n 1042→ throw new InvalidError(\n 1043→ {\n 1044→ path: configFilepath,\n 1045→ message: errMsg + ` ${resolvedPath} does not exist`,\n 1046→ },\n 1047→ { cause: error }\n 1048→ );\n 1049→ }\n 1050→ throw new InvalidError(\n 1051→ { path: configFilepath, message: errMsg },\n 1052→ { cause: error }\n 1053→ );\n 1054→ })\n 1055→ ).trim();\n 1056→ // escape newlines/quotes, strip outer quotes\n 1057→ text = text.replace(match, JSON.stringify(fileContent).slice(1, -1));\n 1058→ }\n 1059→ }\n 1060→\n 1061→ const errors: JsoncParseError[] = [];\n 1062→ const data = parseJsonc(text, errors, { allowTrailingComma: true });\n 1063→ if (errors.length) {\n 1064→ const lines = text.split('\\n');\n 1065→ const errorDetails = errors\n 1066→ .map((e) => {\n 1067→ const beforeOffset = text.substring(0, e.offset).split('\\n');\n 1068→ const line = beforeOffset.length;\n 1069→ const column = beforeOffset[beforeOffset.length - 1].length + 1;\n 1070→ const problemLine = lines[line - 1];\n 1071→\n 1072→ const error = `${printParseErrorCode(e.error)} at line ${line}, column ${column}`;\n 1073→ if (!problemLine) return error;\n 1074→\n 1075→ return `${error}\\n Line ${line}: ${problemLine}\\n${''.padStart(column + 9)}^`;\n 1076→ })\n 1077→ .join('\\n');\n 1078→\n 1079→ throw new JsonError({\n 1080→ path: configFilepath,\n 1081→ message: `\\n--- JSONC Input ---\\n${text}\\n--- Errors ---\\n${errorDetails}\\n--- End ---`,\n 1082→ });\n 1083→ }\n 1084→\n 1085→ const parsed = Info.safeParse(data);\n 1086→ if (parsed.success) {\n 1087→ if (!parsed.data.$schema) {\n 1088→ parsed.data.$schema = 'https://opencode.ai/config.json';\n 1089→ await Bun.write(configFilepath, JSON.stringify(parsed.data, null, 2));\n 1090→ }\n 1091→ const data = parsed.data;\n 1092→ return data;\n 1093→ }\n 1094→\n 1095→ throw new InvalidError({\n 1096→ path: configFilepath,\n 1097→ issues: parsed.error.issues,\n 1098→ });\n 1099→ }\n 1100→ export const JsonError = NamedError.create(\n 1101→ 'ConfigJsonError',\n 1102→ z.object({\n 1103→ path: z.string(),\n 1104→ message: z.string().optional(),\n 1105→ })\n 1106→ );\n 1107→\n 1108→ export const ConfigDirectoryTypoError = NamedError.create(\n 1109→ 'ConfigDirectoryTypoError',\n 1110→ z.object({\n 1111→ path: z.string(),\n 1112→ dir: z.string(),\n 1113→ suggestion: z.string(),\n 1114→ })\n 1115→ );\n 1116→\n 1117→ export const InvalidError = NamedError.create(\n 1118→ 'ConfigInvalidError',\n 1119→ z.object({\n 1120→ path: z.string(),\n 1121→ issues: z.custom<z.core.$ZodIssue[]>().optional(),\n 1122→ message: z.string().optional(),\n 1123→ })\n 1124→ );\n 1125→\n 1126→ export async function get() {\n 1127→ return state().then((x) => x.config);\n 1128→ }\n 1129→\n 1130→ export async function update(config: Info) {\n 1131→ const filepath = path.join(Instance.directory, 'config.json');\n 1132→ const existing = await loadFile(filepath);\n 1133→ await Bun.write(\n 1134→ filepath,\n 1135→ JSON.stringify(mergeDeep(existing, config), null, 2)\n 1136→ );\n 1137→ await Instance.dispose();\n 1138→ }\n 1139→\n 1140→ export async function directories() {\n 1141→ return state().then((x) => x.directories);\n 1142→ }\n 1143→}\n 1144→\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_01FcLcU7YYcVMSauAk9bBBY1", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "e474583c-89be-48ba-8ea9-fdcb59e10a6e" | |
| } | |
| [2026-02-14T10:48:32.469Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-haiku-4-5-20251001", | |
| "id": "msg_01SoPAsFRRUKuq3PBGjiJCVD", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01ABAsCSdQJa5BkSKoWBzEeT", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/gh-issue-solver-1771066033892/docs/case-studies/issue-165/data/provider.ts" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 7, | |
| "cache_creation_input_tokens": 712, | |
| "cache_read_input_tokens": 15745, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 712 | |
| }, | |
| "output_tokens": 3, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": "toolu_01FcLcU7YYcVMSauAk9bBBY1", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "713ab087-e145-4ac3-a760-94fda790d6d9" | |
| } | |
| [2026-02-14T10:48:32.615Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01ABAsCSdQJa5BkSKoWBzEeT", | |
| "type": "tool_result", | |
| "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→\n 20→export namespace Provider {\n 21→ const log = Log.create({ service: 'provider' });\n 22→\n 23→ type CustomLoader = (provider: ModelsDev.Provider) => Promise<{\n 24→ autoload: boolean;\n 25→ getModel?: (\n 26→ sdk: any,\n 27→ modelID: string,\n 28→ options?: Record<string, any>\n 29→ ) => Promise<any>;\n 30→ options?: Record<string, any>;\n 31→ }>;\n 32→\n 33→ type Source = 'env' | 'config' | 'custom' | 'api';\n 34→\n 35→ const CUSTOM_LOADERS: Record<string, CustomLoader> = {\n 36→ async anthropic(input) {\n 37→ // Check if OAuth credentials are available via the auth plugin\n 38→ const auth = await Auth.get('anthropic');\n 39→ if (auth?.type === 'oauth') {\n 40→ log.info(() => ({ message: 'using anthropic oauth credentials' }));\n 41→ const loaderFn = await AuthPlugins.getLoader('anthropic');\n 42→ if (loaderFn) {\n 43→ const result = await loaderFn(() => Auth.get('anthropic'), input);\n 44→ if (result.fetch) {\n 45→ return {\n 46→ autoload: true,\n 47→ options: {\n 48→ apiKey: result.apiKey || '',\n 49→ fetch: result.fetch,\n 50→ headers: {\n 51→ 'anthropic-beta':\n 52→ 'oauth-2025-04-20,claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n 53→ },\n 54→ },\n 55→ };\n 56→ }\n 57→ }\n 58→ }\n 59→ // Default: API key auth\n 60→ return {\n 61→ autoload: false,\n 62→ options: {\n 63→ headers: {\n 64→ 'anthropic-beta':\n 65→ 'claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n 66→ },\n 67→ },\n 68→ };\n 69→ },\n 70→ async opencode(input) {\n 71→ const hasKey = await (async () => {\n 72→ if (input.env.some((item) => process.env[item])) return true;\n 73→ if (await Auth.get(input.id)) return true;\n 74→ return false;\n 75→ })();\n 76→\n 77→ if (!hasKey) {\n 78→ for (const [key, value] of Object.entries(input.models)) {\n 79→ if (value.cost.input === 0) continue;\n 80→ delete input.models[key];\n 81→ }\n 82→ }\n 83→\n 84→ return {\n 85→ autoload: Object.keys(input.models).length > 0,\n 86→ options: hasKey ? {} : { apiKey: 'public' },\n 87→ };\n 88→ },\n 89→ openai: async () => {\n 90→ return {\n 91→ autoload: false,\n 92→ async getModel(\n 93→ sdk: any,\n 94→ modelID: string,\n 95→ _options?: Record<string, any>\n 96→ ) {\n 97→ return sdk.responses(modelID);\n 98→ },\n 99→ options: {},\n 100→ };\n 101→ },\n 102→ azure: async () => {\n 103→ return {\n 104→ autoload: false,\n 105→ async getModel(\n 106→ sdk: any,\n 107→ modelID: string,\n 108→ options?: Record<string, any>\n 109→ ) {\n 110→ if (options?.['useCompletionUrls']) {\n 111→ return sdk.chat(modelID);\n 112→ } else {\n 113→ return sdk.responses(modelID);\n 114→ }\n 115→ },\n 116→ options: {},\n 117→ };\n 118→ },\n 119→ 'azure-cognitive-services': async () => {\n 120→ const resourceName =\n 121→ process.env['AZURE_COGNITIVE_SERVICES_RESOURCE_NAME'];\n 122→ return {\n 123→ autoload: false,\n 124→ async getModel(\n 125→ sdk: any,\n 126→ modelID: string,\n 127→ options?: Record<string, any>\n 128→ ) {\n 129→ if (options?.['useCompletionUrls']) {\n 130→ return sdk.chat(modelID);\n 131→ } else {\n 132→ return sdk.responses(modelID);\n 133→ }\n 134→ },\n 135→ options: {\n 136→ baseURL: resourceName\n 137→ ? `https://${resourceName}.cognitiveservices.azure.com/openai`\n 138→ : undefined,\n 139→ },\n 140→ };\n 141→ },\n 142→ 'amazon-bedrock': async () => {\n 143→ if (\n 144→ !process.env['AWS_PROFILE'] &&\n 145→ !process.env['AWS_ACCESS_KEY_ID'] &&\n 146→ !process.env['AWS_BEARER_TOKEN_BEDROCK']\n 147→ )\n 148→ return { autoload: false };\n 149→\n 150→ const region = process.env['AWS_REGION'] ?? 'us-east-1';\n 151→\n 152→ const { fromNodeProviderChain } = await import(\n 153→ await BunProc.install('@aws-sdk/credential-providers')\n 154→ );\n 155→ return {\n 156→ autoload: true,\n 157→ options: {\n 158→ region,\n 159→ credentialProvider: fromNodeProviderChain(),\n 160→ },\n 161→ async getModel(\n 162→ sdk: any,\n 163→ modelID: string,\n 164→ _options?: Record<string, any>\n 165→ ) {\n 166→ let regionPrefix = region.split('-')[0];\n 167→\n 168→ switch (regionPrefix) {\n 169→ case 'us': {\n 170→ const modelRequiresPrefix = [\n 171→ 'nova-micro',\n 172→ 'nova-lite',\n 173→ 'nova-pro',\n 174→ 'nova-premier',\n 175→ 'claude',\n 176→ 'deepseek',\n 177→ ].some((m) => modelID.includes(m));\n 178→ const isGovCloud = region.startsWith('us-gov');\n 179→ if (modelRequiresPrefix && !isGovCloud) {\n 180→ modelID = `${regionPrefix}.${modelID}`;\n 181→ }\n 182→ break;\n 183→ }\n 184→ case 'eu': {\n 185→ const regionRequiresPrefix = [\n 186→ 'eu-west-1',\n 187→ 'eu-west-2',\n 188→ 'eu-west-3',\n 189→ 'eu-north-1',\n 190→ 'eu-central-1',\n 191→ 'eu-south-1',\n 192→ 'eu-south-2',\n 193→ ].some((r) => region.includes(r));\n 194→ const modelRequiresPrefix = [\n 195→ 'claude',\n 196→ 'nova-lite',\n 197→ 'nova-micro',\n 198→ 'llama3',\n 199→ 'pixtral',\n 200→ ].some((m) => modelID.includes(m));\n 201→ if (regionRequiresPrefix && modelRequiresPrefix) {\n 202→ modelID = `${regionPrefix}.${modelID}`;\n 203→ }\n 204→ break;\n 205→ }\n 206→ case 'ap': {\n 207→ const isAustraliaRegion = [\n 208→ 'ap-southeast-2',\n 209→ 'ap-southeast-4',\n 210→ ].includes(region);\n 211→ if (\n 212→ isAustraliaRegion &&\n 213→ ['anthropic.claude-sonnet-4-5', 'anthropic.claude-haiku'].some(\n 214→ (m) => modelID.includes(m)\n 215→ )\n 216→ ) {\n 217→ regionPrefix = 'au';\n 218→ modelID = `${regionPrefix}.${modelID}`;\n 219→ } else {\n 220→ const modelRequiresPrefix = [\n 221→ 'claude',\n 222→ 'nova-lite',\n 223→ 'nova-micro',\n 224→ 'nova-pro',\n 225→ ].some((m) => modelID.includes(m));\n 226→ if (modelRequiresPrefix) {\n 227→ regionPrefix = 'apac';\n 228→ modelID = `${regionPrefix}.${modelID}`;\n 229→ }\n 230→ }\n 231→ break;\n 232→ }\n 233→ }\n 234→\n 235→ return sdk.languageModel(modelID);\n 236→ },\n 237→ };\n 238→ },\n 239→ openrouter: async () => {\n 240→ return {\n 241→ autoload: false,\n 242→ options: {\n 243→ headers: {\n 244→ 'HTTP-Referer': 'https://opencode.ai/',\n 245→ 'X-Title': 'opencode',\n 246→ },\n 247→ },\n 248→ };\n 249→ },\n 250→ vercel: async () => {\n 251→ return {\n 252→ autoload: false,\n 253→ options: {\n 254→ headers: {\n 255→ 'http-referer': 'https://opencode.ai/',\n 256→ 'x-title': 'opencode',\n 257→ },\n 258→ },\n 259→ };\n 260→ },\n 261→ 'google-vertex': async () => {\n 262→ const project =\n 263→ process.env['GOOGLE_CLOUD_PROJECT'] ??\n 264→ process.env['GCP_PROJECT'] ??\n 265→ process.env['GCLOUD_PROJECT'];\n 266→ const location =\n 267→ process.env['GOOGLE_CLOUD_LOCATION'] ??\n 268→ process.env['VERTEX_LOCATION'] ??\n 269→ 'us-east5';\n 270→ const autoload = Boolean(project);\n 271→ if (!autoload) return { autoload: false };\n 272→ return {\n 273→ autoload: true,\n 274→ options: {\n 275→ project,\n 276→ location,\n 277→ },\n 278→ async getModel(sdk: any, modelID: string) {\n 279→ const id = String(modelID).trim();\n 280→ return sdk.languageModel(id);\n 281→ },\n 282→ };\n 283→ },\n 284→ 'google-vertex-anthropic': async () => {\n 285→ const project =\n 286→ process.env['GOOGLE_CLOUD_PROJECT'] ??\n 287→ process.env['GCP_PROJECT'] ??\n 288→ process.env['GCLOUD_PROJECT'];\n 289→ const location =\n 290→ process.env['GOOGLE_CLOUD_LOCATION'] ??\n 291→ process.env['VERTEX_LOCATION'] ??\n 292→ 'global';\n 293→ const autoload = Boolean(project);\n 294→ if (!autoload) return { autoload: false };\n 295→ return {\n 296→ autoload: true,\n 297→ options: {\n 298→ project,\n 299→ location,\n 300→ },\n 301→ async getModel(sdk: any, modelID: string) {\n 302→ const id = String(modelID).trim();\n 303→ return sdk.languageModel(id);\n 304→ },\n 305→ };\n 306→ },\n 307→ zenmux: async () => {\n 308→ return {\n 309→ autoload: false,\n 310→ options: {\n 311→ headers: {\n 312→ 'HTTP-Referer': 'https://opencode.ai/',\n 313→ 'X-Title': 'opencode',\n 314→ },\n 315→ },\n 316→ };\n 317→ },\n 318→ groq: async () => {\n 319→ return {\n 320→ autoload: false,\n 321→ options: {},\n 322→ };\n 323→ },\n 324→ /**\n 325→ * Kilo provider - access to 500+ AI models through Kilo Gateway\n 326→ * Uses OpenAI-compatible API at https://api.kilo.ai/api/gateway\n 327→ *\n 328→ * Free models available without API key (using 'public' key):\n 329→ * - GLM-5 (z-ai/glm-5) - Free limited time, flagship Z.AI model\n 330→ * - GLM 4.7 (z-ai/glm-4.7:free) - Free, agent-centric model\n 331→ * - Kimi K2.5 (moonshot/kimi-k2.5:free) - Free, agentic capabilities\n 332→ * - MiniMax M2.1 (minimax/m2.1:free) - Free, general-purpose\n 333→ * - Giga Potato (giga-potato:free) - Free evaluation model\n 334→ *\n 335→ * For paid models, set KILO_API_KEY environment variable\n 336→ *\n 337→ * @see https://kilo.ai/docs/gateway\n 338→ * @see https://kilo.ai/docs/advanced-usage/free-and-budget-models\n 339→ */\n 340→ kilo: async (input) => {\n 341→ const hasKey = await (async () => {\n 342→ if (input.env.some((item) => process.env[item])) return true;\n 343→ if (await Auth.get(input.id)) return true;\n 344→ return false;\n 345→ })();\n 346→\n 347→ // For free models, we can use 'public' as the API key\n 348→ // For paid models, user needs to set KILO_API_KEY\n 349→ if (!hasKey) {\n 350→ for (const [key, value] of Object.entries(input.models)) {\n 351→ // Keep only free models (cost.input === 0) when no API key\n 352→ if (value.cost.input === 0) continue;\n 353→ delete input.models[key];\n 354→ }\n 355→ }\n 356→\n 357→ return {\n 358→ autoload: Object.keys(input.models).length > 0,\n 359→ options: hasKey\n 360→ ? {}\n 361→ : {\n 362→ apiKey: 'public',\n 363→ },\n 364→ };\n 365→ },\n 366→ /**\n 367→ * Qwen Coder OAuth provider for Qwen subscription users\n 368→ * Uses OAuth credentials from agent auth login (Qwen Coder Subscription)\n 369→ *\n 370→ * To authenticate, run: agent auth login (select Qwen Coder)\n 371→ */\n 372→ 'qwen-coder': async (input) => {\n 373→ const auth = await Auth.get('qwen-coder');\n 374→ if (auth?.type === 'oauth') {\n 375→ log.info(() => ({\n 376→ message: 'using qwen-coder oauth credentials',\n 377→ }));\n 378→ const loaderFn = await AuthPlugins.getLoader('qwen-coder');\n 379→ if (loaderFn) {\n 380→ const result = await loaderFn(() => Auth.get('qwen-coder'), input);\n 381→ if (result.fetch) {\n 382→ return {\n 383→ autoload: true,\n 384→ options: {\n 385→ apiKey: result.apiKey || '',\n 386→ baseURL: result.baseURL,\n 387→ fetch: result.fetch,\n 388→ },\n 389→ };\n 390→ }\n 391→ }\n 392→ }\n 393→ // Default: not auto-loaded without OAuth\n 394→ return { autoload: false };\n 395→ },\n 396→ /**\n 397→ * Alibaba OAuth provider (alias for Qwen Coder)\n 398→ * Uses OAuth credentials from agent auth login (Alibaba / Qwen Coder Subscription)\n 399→ *\n 400→ * To authenticate, run: agent auth login (select Alibaba)\n 401→ */\n 402→ alibaba: async (input) => {\n 403→ const auth = await Auth.get('alibaba');\n 404→ if (auth?.type === 'oauth') {\n 405→ log.info(() => ({\n 406→ message: 'using alibaba oauth credentials',\n 407→ }));\n 408→ const loaderFn = await AuthPlugins.getLoader('alibaba');\n 409→ if (loaderFn) {\n 410→ const result = await loaderFn(() => Auth.get('alibaba'), input);\n 411→ if (result.fetch) {\n 412→ return {\n 413→ autoload: true,\n 414→ options: {\n 415→ apiKey: result.apiKey || '',\n 416→ baseURL: result.baseURL,\n 417→ fetch: result.fetch,\n 418→ },\n 419→ };\n 420→ }\n 421→ }\n 422→ }\n 423→ // Default: not auto-loaded without OAuth\n 424→ return { autoload: false };\n 425→ },\n 426→ /**\n 427→ * Google OAuth provider for Gemini subscription users\n 428→ * Uses OAuth credentials from agent auth login (Google AI Pro/Ultra)\n 429→ *\n 430→ * To authenticate, run: agent auth google\n 431→ */\n 432→ google: async (input) => {\n 433→ const auth = await Auth.get('google');\n 434→ if (auth?.type === 'oauth') {\n 435→ log.info(() => ({ message: 'using google oauth credentials' }));\n 436→ const loaderFn = await AuthPlugins.getLoader('google');\n 437→ if (loaderFn) {\n 438→ const result = await loaderFn(() => Auth.get('google'), input);\n 439→ if (result.fetch) {\n 440→ return {\n 441→ autoload: true,\n 442→ options: {\n 443→ apiKey: result.apiKey || '',\n 444→ fetch: result.fetch,\n 445→ },\n 446→ };\n 447→ }\n 448→ }\n 449→ }\n 450→ // Default: API key auth (no OAuth credentials found)\n 451→ return { autoload: false };\n 452→ },\n 453→ /**\n 454→ * GitHub Copilot OAuth provider\n 455→ * Uses OAuth credentials from agent auth login\n 456→ */\n 457→ 'github-copilot': async (input) => {\n 458→ const auth = await Auth.get('github-copilot');\n 459→ if (auth?.type === 'oauth') {\n 460→ log.info(() => ({\n 461→ message: 'using github copilot oauth credentials',\n 462→ }));\n 463→ const loaderFn = await AuthPlugins.getLoader('github-copilot');\n 464→ if (loaderFn) {\n 465→ const result = await loaderFn(\n 466→ () => Auth.get('github-copilot'),\n 467→ input\n 468→ );\n 469→ if (result.fetch) {\n 470→ return {\n 471→ autoload: true,\n 472→ options: {\n 473→ apiKey: result.apiKey || '',\n 474→ baseURL: result.baseURL,\n 475→ fetch: result.fetch,\n 476→ },\n 477→ };\n 478→ }\n 479→ }\n 480→ }\n 481→ return { autoload: false };\n 482→ },\n 483→ /**\n 484→ * GitHub Copilot Enterprise OAuth provider\n 485→ * Uses OAuth credentials from agent auth login with enterprise URL\n 486→ */\n 487→ 'github-copilot-enterprise': async (input) => {\n 488→ const auth = await Auth.get('github-copilot-enterprise');\n 489→ if (auth?.type === 'oauth') {\n 490→ log.info(() => ({\n 491→ message: 'using github copilot enterprise oauth credentials',\n 492→ }));\n 493→ const loaderFn = await AuthPlugins.getLoader('github-copilot');\n 494→ if (loaderFn) {\n 495→ const result = await loaderFn(\n 496→ () => Auth.get('github-copilot-enterprise'),\n 497→ input\n 498→ );\n 499→ if (result.fetch) {\n 500→ return {\n 501→ autoload: true,\n 502→ options: {\n 503→ apiKey: result.apiKey || '',\n 504→ baseURL: result.baseURL,\n 505→ fetch: result.fetch,\n 506→ },\n 507→ };\n 508→ }\n 509→ }\n 510→ }\n 511→ return { autoload: false };\n 512→ },\n 513→ /**\n 514→ * Claude OAuth provider - uses Claude OAuth credentials to access\n 515→ * Anthropic models via the Claude API.\n 516→ *\n 517→ * This provider supports two methods:\n 518→ * 1. Environment variable: CLAUDE_CODE_OAUTH_TOKEN\n 519→ * 2. Credentials file: ~/.claude/.credentials.json (from Claude Code CLI or our auth command)\n 520→ *\n 521→ * OAuth tokens use Bearer authentication (Authorization header)\n 522→ * instead of x-api-key authentication used by standard API keys.\n 523→ *\n 524→ * To authenticate, run: agent auth claude\n 525→ */\n 526→ 'claude-oauth': async (input) => {\n 527→ // Check for OAuth token from environment variable first\n 528→ let oauthToken = process.env['CLAUDE_CODE_OAUTH_TOKEN'];\n 529→ let tokenSource = 'environment';\n 530→\n 531→ if (!oauthToken) {\n 532→ // Check for OAuth credentials from credentials file\n 533→ const claudeCreds = await ClaudeOAuth.getCredentials();\n 534→ if (claudeCreds) {\n 535→ oauthToken = claudeCreds.accessToken;\n 536→ tokenSource = `credentials file (${claudeCreds.subscriptionType ?? 'unknown'})`;\n 537→ }\n 538→ }\n 539→\n 540→ if (!oauthToken) {\n 541→ return { autoload: false };\n 542→ }\n 543→\n 544→ log.info(() => ({\n 545→ message: 'using claude oauth credentials',\n 546→ source: tokenSource,\n 547→ }));\n 548→\n 549→ // Create authenticated fetch with Bearer token and OAuth beta header\n 550→ const customFetch = ClaudeOAuth.createAuthenticatedFetch(oauthToken);\n 551→\n 552→ return {\n 553→ autoload: true,\n 554→ options: {\n 555→ // Use a placeholder key to satisfy the SDK's API key requirement\n 556→ // The actual authentication is done via Bearer token in customFetch\n 557→ apiKey: 'oauth-token-placeholder',\n 558→ fetch: customFetch,\n 559→ headers: {\n 560→ 'anthropic-beta':\n 561→ 'oauth-2025-04-20,claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n 562→ },\n 563→ },\n 564→ };\n 565→ },\n 566→ /**\n 567→ * Echo provider - synthetic provider for dry-run testing\n 568→ * Echoes back the user's input without making actual API calls.\n 569→ *\n 570→ * This provider is automatically enabled when --dry-run mode is active.\n 571→ * It can also be used explicitly with: --model link-assistant/echo\n 572→ *\n 573→ * @see https://github.com/link-assistant/agent/issues/89\n 574→ */\n 575→ 'link-assistant': async () => {\n 576→ // Echo provider is always available - no external dependencies needed\n 577→ return {\n 578→ autoload: Flag.OPENCODE_DRY_RUN, // Auto-load only in dry-run mode\n 579→ async getModel(_sdk: any, modelID: string) {\n 580→ // Return our custom echo model that implements LanguageModelV1\n 581→ return createEchoModel(modelID);\n 582→ },\n 583→ options: {},\n 584→ };\n 585→ },\n 586→ /**\n 587→ * Cache provider - synthetic provider for caching API responses\n 588→ * Caches responses using links notation for deterministic testing.\n 589→ *\n 590→ * This provider caches API responses and falls back to echo behavior.\n 591→ * It can be used explicitly with: --model link-assistant/cache/opencode/grok-code\n 592→ *\n 593→ * @see https://github.com/link-assistant/agent/issues/89\n 594→ */\n 595→ 'link-assistant/cache': async () => {\n 596→ // Cache provider is always available - no external dependencies needed\n 597→ return {\n 598→ autoload: false, // Not auto-loaded\n 599→ async getModel(_sdk: any, modelID: string) {\n 600→ // modelID should be in format \"provider/model\" like \"opencode/grok-code\"\n 601→ const parts = modelID.split('/');\n 602→ if (parts.length < 2) {\n 603→ throw new Error(\n 604→ `Invalid cache model ID: ${modelID}. Expected format: provider/model`\n 605→ );\n 606→ }\n 607→ const [providerId, ...modelParts] = parts;\n 608→ const actualModelId = modelParts.join('/');\n 609→\n 610→ // Return our custom cache model that implements LanguageModelV1\n 611→ return createCacheModel(providerId, actualModelId);\n 612→ },\n 613→ options: {},\n 614→ };\n 615→ },\n 616→ };\n 617→\n 618→ const state = Instance.state(async () => {\n 619→ using _ = log.time('state');\n 620→ const config = await Config.get();\n 621→ const database = await ModelsDev.get();\n 622→\n 623→ const providers: {\n 624→ [providerID: string]: {\n 625→ source: Source;\n 626→ info: ModelsDev.Provider;\n 627→ getModel?: (\n 628→ sdk: any,\n 629→ modelID: string,\n 630→ options?: Record<string, any>\n 631→ ) => Promise<any>;\n 632→ options: Record<string, any>;\n 633→ };\n 634→ } = {};\n 635→ const models = new Map<\n 636→ string,\n 637→ {\n 638→ providerID: string;\n 639→ modelID: string;\n 640→ info: ModelsDev.Model;\n 641→ language: LanguageModel;\n 642→ npm?: string;\n 643→ }\n 644→ >();\n 645→ const sdk = new Map<number, SDK>();\n 646→ // Maps `${provider}/${key}` to the provider’s actual model ID for custom aliases.\n 647→ const realIdByKey = new Map<string, string>();\n 648→\n 649→ log.info(() => ({ message: 'init' }));\n 650→\n 651→ function mergeProvider(\n 652→ id: string,\n 653→ options: Record<string, any>,\n 654→ source: Source,\n 655→ getModel?: (\n 656→ sdk: any,\n 657→ modelID: string,\n 658→ options?: Record<string, any>\n 659→ ) => Promise<any>\n 660→ ) {\n 661→ const provider = providers[id];\n 662→ if (!provider) {\n 663→ const info = database[id];\n 664→ if (!info) return;\n 665→ if (info.api && !options['baseURL']) options['baseURL'] = info.api;\n 666→ providers[id] = {\n 667→ source,\n 668→ info,\n 669→ options,\n 670→ getModel,\n 671→ };\n 672→ return;\n 673→ }\n 674→ provider.options = mergeDeep(provider.options, options);\n 675→ provider.source = source;\n 676→ provider.getModel = getModel ?? provider.getModel;\n 677→ }\n 678→\n 679→ const configProviders = Object.entries(config.provider ?? {});\n 680→\n 681→ // Add GitHub Copilot Enterprise provider that inherits from GitHub Copilot\n 682→ if (database['github-copilot']) {\n 683→ const githubCopilot = database['github-copilot'];\n 684→ database['github-copilot-enterprise'] = {\n 685→ ...githubCopilot,\n 686→ id: 'github-copilot-enterprise',\n 687→ name: 'GitHub Copilot Enterprise',\n 688→ // Enterprise uses a different API endpoint - will be set dynamically based on auth\n 689→ api: undefined,\n 690→ };\n 691→ }\n 692→\n 693→ // Add Claude OAuth provider that inherits from Anthropic\n 694→ // This allows using Claude Code CLI OAuth credentials with the Anthropic API\n 695→ if (database['anthropic']) {\n 696→ const anthropic = database['anthropic'];\n 697→ database['claude-oauth'] = {\n 698→ ...anthropic,\n 699→ id: 'claude-oauth',\n 700→ name: 'Claude OAuth',\n 701→ // Use CLAUDE_CODE_OAUTH_TOKEN environment variable\n 702→ env: ['CLAUDE_CODE_OAUTH_TOKEN'],\n 703→ };\n 704→ }\n 705→\n 706→ // Add gemini-3-pro alias for google provider\n 707→ // The actual model in Google's API is gemini-3-pro-preview, but we add gemini-3-pro as an alias for convenience\n 708→ if (database['google']?.models['gemini-3-pro-preview']) {\n 709→ const gemini3ProPreview =\n 710→ database['google'].models['gemini-3-pro-preview'];\n 711→ database['google'].models['gemini-3-pro'] = {\n 712→ ...gemini3ProPreview,\n 713→ id: 'gemini-3-pro-preview',\n 714→ name: 'Gemini 3 Pro',\n 715→ };\n 716→ realIdByKey.set('google/gemini-3-pro', 'gemini-3-pro-preview');\n 717→ }\n 718→\n 719→ // Add link-assistant echo provider for dry-run testing\n 720→ // This synthetic provider echoes back user input without API calls\n 721→ // @see https://github.com/link-assistant/agent/issues/89\n 722→ database['link-assistant'] = {\n 723→ id: 'link-assistant',\n 724→ name: 'Link Assistant (Echo)',\n 725→ env: [], // No environment variables needed - synthetic provider\n 726→ models: {\n 727→ echo: {\n 728→ id: 'echo',\n 729→ name: 'Echo Model',\n 730→ release_date: '2024-01-01',\n 731→ attachment: false,\n 732→ reasoning: false,\n 733→ temperature: false,\n 734→ tool_call: true,\n 735→ cost: {\n 736→ input: 0,\n 737→ output: 0,\n 738→ cache_read: 0,\n 739→ cache_write: 0,\n 740→ },\n 741→ limit: {\n 742→ context: 1000000, // Virtually unlimited\n 743→ output: 100000,\n 744→ },\n 745→ modalities: {\n 746→ input: ['text'],\n 747→ output: ['text'],\n 748→ },\n 749→ options: {},\n 750→ },\n 751→ },\n 752→ };\n 753→\n 754→ // Add link-assistant/cache provider for caching API responses\n 755→ // This synthetic provider caches responses and falls back to echo\n 756→ // @see https://github.com/link-assistant/agent/issues/89\n 757→ database['link-assistant/cache'] = {\n 758→ id: 'link-assistant/cache',\n 759→ name: 'Link Assistant (Cache)',\n 760→ env: [], // No environment variables needed - synthetic provider\n 761→ models: {}, // Models are dynamically created based on the provider/model syntax\n 762→ };\n 763→\n 764→ // Add Kilo provider for access to 500+ AI models through Kilo Gateway\n 765→ // Free models available: GLM-5, GLM 4.7, Kimi K2.5, MiniMax M2.1, Giga Potato\n 766→ // @see https://kilo.ai/docs/gateway\n 767→ // @see https://github.com/link-assistant/agent/issues/159\n 768→ database['kilo'] = {\n 769→ id: 'kilo',\n 770→ name: 'Kilo Gateway',\n 771→ npm: '@ai-sdk/openai-compatible',\n 772→ api: 'https://api.kilo.ai/api/gateway',\n 773→ env: ['KILO_API_KEY'],\n 774→ models: {\n 775→ // GLM-5 - Flagship Z.AI model, free for limited time\n 776→ 'glm-5-free': {\n 777→ id: 'z-ai/glm-5',\n 778→ name: 'GLM-5 (Free)',\n 779→ release_date: '2026-02-11',\n 780→ attachment: false,\n 781→ reasoning: true,\n 782→ temperature: true,\n 783→ tool_call: true,\n 784→ cost: {\n 785→ input: 0,\n 786→ output: 0,\n 787→ cache_read: 0,\n 788→ cache_write: 0,\n 789→ },\n 790→ limit: {\n 791→ context: 202752,\n 792→ output: 131072,\n 793→ },\n 794→ modalities: {\n 795→ input: ['text'],\n 796→ output: ['text'],\n 797→ },\n 798→ options: {},\n 799→ },\n 800→ // GLM 4.7 - Agent-centric model, free\n 801→ 'glm-4.7-free': {\n 802→ id: 'z-ai/glm-4.7:free',\n 803→ name: 'GLM 4.7 (Free)',\n 804→ release_date: '2026-01-15',\n 805→ attachment: false,\n 806→ reasoning: true,\n 807→ temperature: true,\n 808→ tool_call: true,\n 809→ cost: {\n 810→ input: 0,\n 811→ output: 0,\n 812→ cache_read: 0,\n 813→ cache_write: 0,\n 814→ },\n 815→ limit: {\n 816→ context: 131072,\n 817→ output: 65536,\n 818→ },\n 819→ modalities: {\n 820→ input: ['text'],\n 821→ output: ['text'],\n 822→ },\n 823→ options: {},\n 824→ },\n 825→ // Kimi K2.5 - Agentic capabilities, free\n 826→ 'kimi-k2.5-free': {\n 827→ id: 'moonshot/kimi-k2.5:free',\n 828→ name: 'Kimi K2.5 (Free)',\n 829→ release_date: '2025-12-01',\n 830→ attachment: false,\n 831→ reasoning: false,\n 832→ temperature: true,\n 833→ tool_call: true,\n 834→ cost: {\n 835→ input: 0,\n 836→ output: 0,\n 837→ cache_read: 0,\n 838→ cache_write: 0,\n 839→ },\n 840→ limit: {\n 841→ context: 131072,\n 842→ output: 65536,\n 843→ },\n 844→ modalities: {\n 845→ input: ['text'],\n 846→ output: ['text'],\n 847→ },\n 848→ options: {},\n 849→ },\n 850→ // MiniMax M2.1 - General-purpose, free\n 851→ 'minimax-m2.1-free': {\n 852→ id: 'minimax/m2.1:free',\n 853→ name: 'MiniMax M2.1 (Free)',\n 854→ release_date: '2025-11-01',\n 855→ attachment: false,\n 856→ reasoning: false,\n 857→ temperature: true,\n 858→ tool_call: true,\n 859→ cost: {\n 860→ input: 0,\n 861→ output: 0,\n 862→ cache_read: 0,\n 863→ cache_write: 0,\n 864→ },\n 865→ limit: {\n 866→ context: 131072,\n 867→ output: 65536,\n 868→ },\n 869→ modalities: {\n 870→ input: ['text'],\n 871→ output: ['text'],\n 872→ },\n 873→ options: {},\n 874→ },\n 875→ // Giga Potato - Free evaluation model\n 876→ 'giga-potato-free': {\n 877→ id: 'giga-potato:free',\n 878→ name: 'Giga Potato (Free)',\n 879→ release_date: '2026-01-01',\n 880→ attachment: false,\n 881→ reasoning: false,\n 882→ temperature: true,\n 883→ tool_call: true,\n 884→ cost: {\n 885→ input: 0,\n 886→ output: 0,\n 887→ cache_read: 0,\n 888→ cache_write: 0,\n 889→ },\n 890→ limit: {\n 891→ context: 65536,\n 892→ output: 32768,\n 893→ },\n 894→ modalities: {\n 895→ input: ['text'],\n 896→ output: ['text'],\n 897→ },\n 898→ options: {},\n 899→ },\n 900→ // Trinity Large Preview - Preview model from Arcee AI\n 901→ 'trinity-large-preview': {\n 902→ id: 'arcee/trinity-large-preview',\n 903→ name: 'Trinity Large Preview (Free)',\n 904→ release_date: '2026-01-01',\n 905→ attachment: false,\n 906→ reasoning: false,\n 907→ temperature: true,\n 908→ tool_call: true,\n 909→ cost: {\n 910→ input: 0,\n 911→ output: 0,\n 912→ cache_read: 0,\n 913→ cache_write: 0,\n 914→ },\n 915→ limit: {\n 916→ context: 65536,\n 917→ output: 32768,\n 918→ },\n 919→ modalities: {\n 920→ input: ['text'],\n 921→ output: ['text'],\n 922→ },\n 923→ options: {},\n 924→ },\n 925→ },\n 926→ };\n 927→\n 928→ for (const [providerID, provider] of configProviders) {\n 929→ const existing = database[providerID];\n 930→ const parsed: ModelsDev.Provider = {\n 931→ id: providerID,\n 932→ npm: provider.npm ?? existing?.npm,\n 933→ name: provider.name ?? existing?.name ?? providerID,\n 934→ env: provider.env ?? existing?.env ?? [],\n 935→ api: provider.api ?? existing?.api,\n 936→ models: existing?.models ?? {},\n 937→ };\n 938→\n 939→ for (const [modelID, model] of Object.entries(provider.models ?? {})) {\n 940→ const existing = parsed.models[model.id ?? modelID];\n 941→ const name = iife(() => {\n 942→ if (model.name) return model.name;\n 943→ if (model.id && model.id !== modelID) return modelID;\n 944→ return existing?.name ?? modelID;\n 945→ });\n 946→ const parsedModel: ModelsDev.Model = {\n 947→ id: modelID,\n 948→ name,\n 949→ release_date: model.release_date ?? existing?.release_date,\n 950→ attachment: model.attachment ?? existing?.attachment ?? false,\n 951→ reasoning: model.reasoning ?? existing?.reasoning ?? false,\n 952→ temperature: model.temperature ?? existing?.temperature ?? false,\n 953→ tool_call: model.tool_call ?? existing?.tool_call ?? true,\n 954→ cost:\n 955→ !model.cost && !existing?.cost\n 956→ ? {\n 957→ input: 0,\n 958→ output: 0,\n 959→ cache_read: 0,\n 960→ cache_write: 0,\n 961→ }\n 962→ : {\n 963→ cache_read: 0,\n 964→ cache_write: 0,\n 965→ ...existing?.cost,\n 966→ ...model.cost,\n 967→ },\n 968→ options: {\n 969→ ...existing?.options,\n 970→ ...model.options,\n 971→ },\n 972→ limit: model.limit ??\n 973→ existing?.limit ?? {\n 974→ context: 0,\n 975→ output: 0,\n 976→ },\n 977→ modalities: model.modalities ??\n 978→ existing?.modalities ?? {\n 979→ input: ['text'],\n 980→ output: ['text'],\n 981→ },\n 982→ headers: model.headers,\n 983→ provider: model.provider ?? existing?.provider,\n 984→ };\n 985→ if (model.id && model.id !== modelID) {\n 986→ realIdByKey.set(`${providerID}/${modelID}`, model.id);\n 987→ }\n 988→ parsed.models[modelID] = parsedModel;\n 989→ }\n 990→ database[providerID] = parsed;\n 991→ }\n 992→\n 993→ const disabled = await Config.get().then(\n 994→ (cfg) => new Set(cfg.disabled_providers ?? [])\n 995→ );\n 996→ // load env\n 997→ for (const [providerID, provider] of Object.entries(database)) {\n 998→ if (disabled.has(providerID)) continue;\n 999→ // Find the first truthy env var (supports multiple env var options like Google's\n 1000→ // GOOGLE_GENERATIVE_AI_API_KEY and GEMINI_API_KEY)\n 1001→ const apiKey = provider.env\n 1002→ .map((item) => process.env[item])\n 1003→ .find(Boolean);\n 1004→ if (!apiKey) continue;\n 1005→ // Always pass the API key - the provider SDK needs it for authentication\n 1006→ mergeProvider(providerID, { apiKey }, 'env');\n 1007→ }\n 1008→\n 1009→ // load apikeys\n 1010→ for (const [providerID, provider] of Object.entries(await Auth.all())) {\n 1011→ if (disabled.has(providerID)) continue;\n 1012→ if (provider.type === 'api') {\n 1013→ mergeProvider(providerID, { apiKey: provider.key }, 'api');\n 1014→ }\n 1015→ }\n 1016→\n 1017→ // load custom\n 1018→ for (const [providerID, fn] of Object.entries(CUSTOM_LOADERS)) {\n 1019→ if (disabled.has(providerID)) continue;\n 1020→ const result = await fn(database[providerID]);\n 1021→ if (result && (result.autoload || providers[providerID])) {\n 1022→ mergeProvider(\n 1023→ providerID,\n 1024→ result.options ?? {},\n 1025→ 'custom',\n 1026→ result.getModel\n 1027→ );\n 1028→ }\n 1029→ }\n 1030→\n 1031→ // load config\n 1032→ for (const [providerID, provider] of configProviders) {\n 1033→ mergeProvider(providerID, provider.options ?? {}, 'config');\n 1034→ }\n 1035→\n 1036→ for (const [providerID, provider] of Object.entries(providers)) {\n 1037→ const filteredModels = Object.fromEntries(\n 1038→ Object.entries(provider.info.models)\n 1039→ // Filter out blacklisted models\n 1040→ .filter(\n 1041→ ([modelID]) =>\n 1042→ modelID !== 'gpt-5-chat-latest' &&\n 1043→ !(providerID === 'openrouter' && modelID === 'openai/gpt-5-chat')\n 1044→ )\n 1045→ // Filter out experimental models\n 1046→ .filter(\n 1047→ ([, model]) =>\n 1048→ ((!model.experimental && model.status !== 'alpha') ||\n 1049→ Flag.OPENCODE_ENABLE_EXPERIMENTAL_MODELS) &&\n 1050→ model.status !== 'deprecated'\n 1051→ )\n 1052→ );\n 1053→ provider.info.models = filteredModels;\n 1054→\n 1055→ if (Object.keys(provider.info.models).length === 0) {\n 1056→ delete providers[providerID];\n 1057→ continue;\n 1058→ }\n 1059→ log.info(() => ({ message: 'found', providerID }));\n 1060→ }\n 1061→\n 1062→ return {\n 1063→ models,\n 1064→ providers,\n 1065→ sdk,\n 1066→ realIdByKey,\n 1067→ };\n 1068→ });\n 1069→\n 1070→ export async function list() {\n 1071→ return state().then((state) => state.providers);\n 1072→ }\n 1073→\n 1074→ async function getSDK(provider: ModelsDev.Provider, model: ModelsDev.Model) {\n 1075→ return (async () => {\n 1076→ using _ = log.time('getSDK', {\n 1077→ providerID: provider.id,\n 1078→ });\n 1079→ const s = await state();\n 1080→ const pkg = model.provider?.npm ?? provider.npm ?? provider.id;\n 1081→ const options = { ...s.providers[provider.id]?.options };\n 1082→ if (\n 1083→ pkg.includes('@ai-sdk/openai-compatible') &&\n 1084→ options['includeUsage'] === undefined\n 1085→ ) {\n 1086→ options['includeUsage'] = true;\n 1087→ }\n 1088→ const key = Bun.hash.xxHash32(JSON.stringify({ pkg, options }));\n 1089→ const existing = s.sdk.get(key);\n 1090→ if (existing) return existing;\n 1091→\n 1092→ let installedPath: string;\n 1093→ if (!pkg.startsWith('file://')) {\n 1094→ log.info(() => ({\n 1095→ message: 'installing provider package',\n 1096→ providerID: provider.id,\n 1097→ pkg,\n 1098→ version: 'latest',\n 1099→ }));\n 1100→ installedPath = await BunProc.install(pkg, 'latest');\n 1101→ log.info(() => ({\n 1102→ message: 'provider package installed successfully',\n 1103→ providerID: provider.id,\n 1104→ pkg,\n 1105→ installedPath,\n 1106→ }));\n 1107→ } else {\n 1108→ log.info(() => ({ message: 'loading local provider', pkg }));\n 1109→ installedPath = pkg;\n 1110→ }\n 1111→\n 1112→ // The `google-vertex-anthropic` provider points to the `@ai-sdk/google-vertex` package.\n 1113→ // Ref: https://github.com/sst/models.dev/blob/0a87de42ab177bebad0620a889e2eb2b4a5dd4ab/providers/google-vertex-anthropic/provider.toml\n 1114→ // However, the actual export is at the subpath `@ai-sdk/google-vertex/anthropic`.\n 1115→ // Ref: https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex#google-vertex-anthropic-provider-usage\n 1116→ // In addition, Bun's dynamic import logic does not support subpath imports,\n 1117→ // so we patch the import path to load directly from `dist`.\n 1118→ const modPath =\n 1119→ provider.id === 'google-vertex-anthropic'\n 1120→ ? `${installedPath}/dist/anthropic/index.mjs`\n 1121→ : installedPath;\n 1122→ const mod = await import(modPath);\n 1123→ if (options['timeout'] !== undefined && options['timeout'] !== null) {\n 1124→ // Preserve custom fetch if it exists, wrap it with timeout logic\n 1125→ const customFetch = options['fetch'];\n 1126→ options['fetch'] = async (input: any, init?: BunFetchRequestInit) => {\n 1127→ const { signal, ...rest } = init ?? {};\n 1128→\n 1129→ const signals: AbortSignal[] = [];\n 1130→ if (signal) signals.push(signal);\n 1131→ if (options['timeout'] !== false)\n 1132→ signals.push(AbortSignal.timeout(options['timeout']));\n 1133→\n 1134→ const combined =\n 1135→ signals.length > 1 ? AbortSignal.any(signals) : signals[0];\n 1136→\n 1137→ const fetchFn = customFetch ?? fetch;\n 1138→ return fetchFn(input, {\n 1139→ ...rest,\n 1140→ signal: combined,\n 1141→ // @ts-ignore see here: https://github.com/oven-sh/bun/issues/16682\n 1142→ timeout: false,\n 1143→ });\n 1144→ };\n 1145→ }\n 1146→ const fn = mod[Object.keys(mod).find((key) => key.startsWith('create'))!];\n 1147→ const loaded = fn({\n 1148→ name: provider.id,\n 1149→ ...options,\n 1150→ });\n 1151→ s.sdk.set(key, loaded);\n 1152→ return loaded as SDK;\n 1153→ })().catch((e) => {\n 1154→ log.error(() => ({\n 1155→ message: 'provider initialization failed',\n 1156→ providerID: provider.id,\n 1157→ pkg: model.provider?.npm ?? provider.npm ?? provider.id,\n 1158→ error: e instanceof Error ? e.message : String(e),\n 1159→ stack: e instanceof Error ? e.stack : undefined,\n 1160→ cause: e instanceof Error && e.cause ? String(e.cause) : undefined,\n 1161→ }));\n 1162→ throw new InitError({ providerID: provider.id }, { cause: e });\n 1163→ });\n 1164→ }\n 1165→\n 1166→ export async function getProvider(providerID: string) {\n 1167→ return state().then((s) => s.providers[providerID]);\n 1168→ }\n 1169→\n 1170→ export async function getModel(providerID: string, modelID: string) {\n 1171→ const key = `${providerID}/${modelID}`;\n 1172→ const s = await state();\n 1173→ if (s.models.has(key)) return s.models.get(key)!;\n 1174→\n 1175→ log.info(() => ({ message: 'getModel', providerID, modelID }));\n 1176→\n 1177→ const provider = s.providers[providerID];\n 1178→ if (!provider) {\n 1179→ // Check if this model ID might exist in another provider (e.g., OpenRouter)\n 1180→ // This helps users who use formats like \"z-ai/glm-4.7\" instead of \"openrouter/z-ai/glm-4.7\"\n 1181→ const fullModelKey = `${providerID}/${modelID}`;\n 1182→ let suggestion: string | undefined;\n 1183→\n 1184→ for (const [knownProviderID, knownProvider] of Object.entries(\n 1185→ s.providers\n 1186→ )) {\n 1187→ if (knownProvider.info.models[fullModelKey]) {\n 1188→ suggestion = `Did you mean: ${knownProviderID}/${fullModelKey}?`;\n 1189→ break;\n 1190→ }\n 1191→ }\n 1192→\n 1193→ throw new ModelNotFoundError({ providerID, modelID, suggestion });\n 1194→ }\n 1195→\n 1196→ // For synthetic providers (like link-assistant/echo and link-assistant/cache), skip SDK loading\n 1197→ // These providers have a custom getModel function that creates the model directly\n 1198→ const isSyntheticProvider =\n 1199→ providerID === 'link-assistant' || providerID === 'link-assistant/cache';\n 1200→\n 1201→ // For synthetic providers, we don't need model info from the database\n 1202→ const info = isSyntheticProvider ? null : provider.info.models[modelID];\n 1203→ if (!isSyntheticProvider && !info)\n 1204→ throw new ModelNotFoundError({ providerID, modelID });\n 1205→\n 1206→ try {\n 1207→ const keyReal = `${providerID}/${modelID}`;\n 1208→ const realID = s.realIdByKey.get(keyReal) ?? (info ? info.id : modelID);\n 1209→\n 1210→ let language: LanguageModel;\n 1211→ if (isSyntheticProvider && provider.getModel) {\n 1212→ // For synthetic providers, call getModel directly without SDK\n 1213→ language = await provider.getModel(null, realID, provider.options);\n 1214→ } else {\n 1215→ // For regular providers, load the SDK first\n 1216→ const sdk = await getSDK(provider.info, info!);\n 1217→ language = provider.getModel\n 1218→ ? await provider.getModel(sdk, realID, provider.options)\n 1219→ : sdk.languageModel(realID);\n 1220→ }\n 1221→ log.info(() => ({ message: 'found', providerID, modelID }));\n 1222→ s.models.set(key, {\n 1223→ providerID,\n 1224→ modelID,\n 1225→ info,\n 1226→ language,\n 1227→ npm: isSyntheticProvider\n 1228→ ? provider.info.npm\n 1229→ : (info.provider?.npm ?? provider.info.npm),\n 1230→ });\n 1231→ return {\n 1232→ modelID,\n 1233→ providerID,\n 1234→ info,\n 1235→ language,\n 1236→ npm: info.provider?.npm ?? provider.info.npm,\n 1237→ };\n 1238→ } catch (e) {\n 1239→ if (e instanceof NoSuchModelError)\n 1240→ throw new ModelNotFoundError(\n 1241→ {\n 1242→ modelID: modelID,\n 1243→ providerID,\n 1244→ },\n 1245→ { cause: e }\n 1246→ );\n 1247→ throw e;\n 1248→ }\n 1249→ }\n 1250→\n 1251→ export async function getSmallModel(providerID: string) {\n 1252→ const cfg = await Config.get();\n 1253→\n 1254→ if (cfg.small_model) {\n 1255→ const parsed = parseModel(cfg.small_model);\n 1256→ return getModel(parsed.providerID, parsed.modelID);\n 1257→ }\n 1258→\n 1259→ const provider = await state().then((state) => state.providers[providerID]);\n 1260→ if (!provider) return;\n 1261→ let priority = [\n 1262→ 'claude-haiku-4-5',\n 1263→ 'claude-haiku-4.5',\n 1264→ '3-5-haiku',\n 1265→ '3.5-haiku',\n 1266→ 'gemini-2.5-flash',\n 1267→ 'gpt-5-nano',\n 1268→ ];\n 1269→ // claude-haiku-4.5 is considered a premium model in github copilot, we shouldn't use premium requests for title gen\n 1270→ if (providerID === 'github-copilot') {\n 1271→ priority = priority.filter((m) => m !== 'claude-haiku-4.5');\n 1272→ }\n 1273→ if (providerID === 'opencode' || providerID === 'local') {\n 1274→ priority = [\n 1275→ 'kimi-k2.5-free',\n 1276→ 'minimax-m2.1-free',\n 1277→ 'gpt-5-nano',\n 1278→ 'glm-4.7-free',\n 1279→ 'big-pickle',\n 1280→ ];\n 1281→ }\n 1282→ if (providerID === 'kilo') {\n 1283→ priority = [\n 1284→ 'glm-5-free',\n 1285→ 'glm-4.7-free',\n 1286→ 'kimi-k2.5-free',\n 1287→ 'minimax-m2.1-free',\n 1288→ 'giga-potato-free',\n 1289→ ];\n 1290→ }\n 1291→ for (const item of priority) {\n 1292→ for (const model of Object.keys(provider.info.models)) {\n 1293→ if (model.includes(item)) return getModel(providerID, model);\n 1294→ }\n 1295→ }\n 1296→ }\n 1297→\n 1298→ const priority = [\n 1299→ 'glm-5-free',\n 1300→ 'kimi-k2.5-free',\n 1301→ 'minimax-m2.1-free',\n 1302→ 'gpt-5-nano',\n 1303→ 'glm-4.7-free',\n 1304→ 'big-pickle',\n 1305→ 'gpt-5',\n 1306→ 'claude-sonnet-4',\n 1307→ 'gemini-3-pro',\n 1308→ ];\n 1309→ export function sort(models: ModelsDev.Model[]) {\n 1310→ return sortBy(\n 1311→ models,\n 1312→ [\n 1313→ (model) => priority.findIndex((filter) => model.id.includes(filter)),\n 1314→ 'desc',\n 1315→ ],\n 1316→ [(model) => (model.id.includes('latest') ? 0 : 1), 'asc'],\n 1317→ [(model) => model.id, 'desc']\n 1318→ );\n 1319→ }\n 1320→\n 1321→ export async function defaultModel() {\n 1322→ const cfg = await Config.get();\n 1323→\n 1324→ // In dry-run mode, use the echo provider by default\n 1325→ // This allows testing round-trips and multi-turn conversations without API costs\n 1326→ // @see https://github.com/link-assistant/agent/issues/89\n 1327→ if (Flag.OPENCODE_DRY_RUN) {\n 1328→ log.info('dry-run mode enabled, using echo provider as default');\n 1329→ return {\n 1330→ providerID: 'link-assistant',\n 1331→ modelID: 'echo',\n 1332→ };\n 1333→ }\n 1334→\n 1335→ if (cfg.model) return parseModel(cfg.model);\n 1336→\n 1337→ // Prefer opencode provider if available\n 1338→ const providers = await list().then((val) => Object.values(val));\n 1339→ const opencodeProvider = providers.find((p) => p.info.id === 'opencode');\n 1340→ if (opencodeProvider) {\n 1341→ const [model] = sort(Object.values(opencodeProvider.info.models));\n 1342→ if (model) {\n 1343→ log.info(() => ({\n 1344→ message: 'using opencode provider as default',\n 1345→ provider: opencodeProvider.info.id,\n 1346→ model: model.id,\n 1347→ }));\n 1348→ return {\n 1349→ providerID: opencodeProvider.info.id,\n 1350→ modelID: model.id,\n 1351→ };\n 1352→ }\n 1353→ }\n 1354→\n 1355→ // Fall back to any available provider if opencode is not available\n 1356→ const provider = providers.find(\n 1357→ (p) => !cfg.provider || Object.keys(cfg.provider).includes(p.info.id)\n 1358→ );\n 1359→ if (!provider) throw new Error('no providers found');\n 1360→ const [model] = sort(Object.values(provider.info.models));\n 1361→ if (!model) throw new Error('no models found');\n 1362→ return {\n 1363→ providerID: provider.info.id,\n 1364→ modelID: model.id,\n 1365→ };\n 1366→ }\n 1367→\n 1368→ export function parseModel(model: string) {\n 1369→ const [providerID, ...rest] = model.split('/');\n 1370→ return {\n 1371→ providerID: providerID,\n 1372→ modelID: rest.join('/'),\n 1373→ };\n 1374→ }\n 1375→\n 1376→ export const ModelNotFoundError = NamedError.create(\n 1377→ 'ProviderModelNotFoundError',\n 1378→ z.object({\n 1379→ providerID: z.string(),\n 1380→ modelID: z.string(),\n 1381→ suggestion: z.string().optional(),\n 1382→ })\n 1383→ );\n 1384→\n 1385→ export const InitError = NamedError.create(\n 1386→ 'ProviderInitError',\n 1387→ z.object({\n 1388→ providerID: z.string(),\n 1389→ })\n 1390→ );\n 1391→}\n 1392→\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_01FcLcU7YYcVMSauAk9bBBY1", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "6153911b-d5d4-47b4-84cf-bb146094504e" | |
| } | |
| [2026-02-14T10:48:32.833Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01QHfwpfYA4nLVeq4Rnw2nVM", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_014bQU2RxPEtbzcNhJ1g1YCk", | |
| "name": "Task", | |
| "input": { | |
| "description": "Clone and analyze gemini-cli", | |
| "prompt": "Clone the gemini-cli repository and analyze how it handles AI_JSONParseError, SSE stream parsing errors, and streaming retries.\n\n1. Clone: git clone --depth=1 https://github.com/google-gemini/gemini-cli /tmp/gemini-cli-analysis 2>&1\n2. Search for how they handle:\n - JSON parse errors during streaming\n - SSE stream errors\n - Retry logic for streaming errors\n - Error recovery during stream consumption\n - Any custom SSE parser implementation\n3. Look at their error handling in streaming/session/provider code\n4. Check their retry mechanism\n\nReport exact file paths, line numbers, and relevant code snippets showing how they handle these scenarios.", | |
| "subagent_type": "general-purpose" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 696, | |
| "cache_read_input_tokens": 60836, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 696 | |
| }, | |
| "output_tokens": 1, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "963c433d-32c4-4a22-8981-07e4fdff4c21" | |
| } | |
| [2026-02-14T10:48:32.841Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": "Clone the gemini-cli repository and analyze how it handles AI_JSONParseError, SSE stream parsing errors, and streaming retries.\n\n1. Clone: git clone --depth=1 https://github.com/google-gemini/gemini-cli /tmp/gemini-cli-analysis 2>&1\n2. Search for how they handle:\n - JSON parse errors during streaming\n - SSE stream errors\n - Retry logic for streaming errors\n - Error recovery during stream consumption\n - Any custom SSE parser implementation\n3. Look at their error handling in streaming/session/provider code\n4. Check their retry mechanism\n\nReport exact file paths, line numbers, and relevant code snippets showing how they handle these scenarios." | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": "toolu_014bQU2RxPEtbzcNhJ1g1YCk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "7e5a473d-6e44-47ce-858d-60b08413c3fa" | |
| } | |
| [2026-02-14T10:48:34.603Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_013NT1h1B26KTzzfDhG8ogEU", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01LYrnedLFuSwiJ2Kog2ob6s", | |
| "name": "Bash", | |
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| "content": "<persisted-output>\nOutput too large (25.4KB). Full output saved to: /home/hive/.claude/projects/-tmp-gh-issue-solver-1771066033892/76154483-84eb-4aef-9495-02d86c7cc1ca/tool-results/toolu_01UtJ8RyvQZGZkz7z6pKiC3Y.txt\n\nPreview (first 2KB):\n/tmp/gh-issue-solver-1771066033892/MODELS.md-1-# Models\n/tmp/gh-issue-solver-1771066033892/MODELS.md-2-\nMODELS.md:3:This agent supports multiple model providers. By default, it uses models from the [OpenCode Zen](https://opencode.ai/docs/zen/) subscription service. Additionally, you can use models directly from providers like [Groq](https://groq.com/) by setting the appropriate API key.\n/tmp/gh-issue-solver-1771066033892/MODELS.md-4-\n/tmp/gh-issue-solver-1771066033892/MODELS.md-5-## Supported Providers\n/tmp/gh-issue-solver-1771066033892/MODELS.md-6-\n/tmp/gh-issue-solver-1771066033892/MODELS.md-7-| Provider | Format | API Key Env Variable | Documentation |\n/tmp/gh-issue-solver-1771066033892/MODELS.md-8-| ------------ | ------------------------------- | ---------------------------- | -------------------------------------------------- |\nMODELS.md:9:| OpenCode Zen | `opencode/<model-id>` | N/A (public for free models) | [OpenCode Zen](https://opencode.ai/docs/zen/) |\n/tmp/gh-issue-solver-1771066033892/MODELS.md-10-| Kilo Gateway | `kilo/<model-id>` | N/A (public for free models) | [Kilo Gateway Documentation](docs/kilo.md) |\nMODELS.md-11-| Anthropic | `anthropic/<model-id>` | `ANTHROPIC_API_KEY` | [Anthropic Docs](https://docs.anthropic.com/) |\n/tmp/gh-issue-solver-1771066033892/MODELS.md-12-| Claude OAuth | `claude-oauth/<model-id>` | `CLAUDE_CODE_OAUTH_TOKEN` | [Claude OAuth Documentation](docs/claude-oauth.md) |\n--\n/tmp/gh-issue-solver-1771066033892/MODELS.md-118-\n/tmp/gh-issue-solver-1771066033892/MODELS.md-119-## More Information\n/tmp/gh-issue-solver-1771066033892/MODELS.md-120-\nMODELS.md:121:For complete details about OpenCode Zen subscription and pricing, visit the [OpenCode Zen Documentation](https://opencode.ai/docs/zen/).\n/tmp/gh-issue-solver-1771066033892/MODELS.md-122-\n...\n</persisted-output>" | |
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| "content": "<persisted-output>\nOutput too large (80.7KB). Full output saved to: /home/hive/.claude/projects/-tmp-gh-issue-solver-1771066033892/76154483-84eb-4aef-9495-02d86c7cc1ca/tool-results/toolu_01JFeH53PJzTP4bXjppSW9e7.txt\n\nPreview (first 2KB):\n/tmp/gh-issue-solver-1771066033892/experiments/test-issue-72-fix.mjs-2-\n/tmp/gh-issue-solver-1771066033892/experiments/test-issue-72-fix.mjs-3-/**\n/tmp/gh-issue-solver-1771066033892/experiments/test-issue-72-fix.mjs-4- * Test script for issue #72 fix\nexperiments/test-issue-72-fix.mjs:5: * Tests that the agent falls back gracefully when opencode provider fails to initialize\n/tmp/gh-issue-solver-1771066033892/experiments/test-issue-72-fix.mjs-6- */\n/tmp/gh-issue-solver-1771066033892/experiments/test-issue-72-fix.mjs-7-\n/tmp/gh-issue-solver-1771066033892/experiments/test-issue-72-fix.mjs-8-import { Provider } from '../src/provider/provider.ts';\n/tmp/gh-issue-solver-1771066033892/experiments/test-issue-72-fix.mjs-9-import { Instance } from '../src/project/instance.ts';\n/tmp/gh-issue-solver-1771066033892/experiments/test-issue-72-fix.mjs-10-\n/tmp/gh-issue-solver-1771066033892/experiments/test-issue-72-fix.mjs-11-console.log(\nexperiments/test-issue-72-fix.mjs:12: 'Testing issue #72 fix: graceful fallback when opencode provider fails\\n'\n/tmp/gh-issue-solver-1771066033892/experiments/test-issue-72-fix.mjs-13-);\n/tmp/gh-issue-solver-1771066033892/experiments/test-issue-72-fix.mjs-14-\n/tmp/gh-issue-solver-1771066033892/experiments/test-issue-72-fix.mjs-15-await Instance.provide({\n--\nREADME.md-103-- **Plain Text Input**: Also accepts plain text messages (auto-converted to JSON format)\nREADME.md-104-- **Unrestricted Access**: Full file system and command execution access (no sandbox, no restrictions)\nREADME.md-105-- **Tool Support**: 13 tools including websearch, codesearch, batch - all enabled by default\nREADME.md:106:- **Flexible Model Selection**: Supports [OpenCode Zen](https://opencode.ai/docs/zen/), [Claude OAuth](docs/claude-oauth.md), [Groq](docs/groq.md), [OpenRouter](docs/openrouter.md), and more - see [MODELS.md](MODELS.md)\nREADME.md-107-- **Public Domain**: Unlicense - use it however you want\n/tmp/gh-issue-solver-1771066033892/README.md-108-\n...\n</persisted-output>" | |
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| "content": "# Solve.mjs Log - 2026-02-14T08:28:31.969Z\n\n[2026-02-14T08:28:31.970Z] [INFO] 📁 Log file: /home/hive/solve-2026-02-14T08-28-31-968Z.log\n[2026-02-14T08:28:31.972Z] [INFO] (All output will be logged here)\n[2026-02-14T08:28:32.465Z] [INFO] \n[2026-02-14T08:28:32.465Z] [INFO] 🚀 solve v1.23.1\n[2026-02-14T08:28:32.466Z] [INFO] 🔧 Raw command executed:\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[2026-02-14T08:28:32.467Z] [INFO] \n[2026-02-14T08:28:32.867Z] [INFO] \n[2026-02-14T08:28:32.868Z] [WARNING] ⚠️ SECURITY WARNING: --attach-logs is ENABLED\n[2026-02-14T08:28:32.868Z] [INFO] \n[2026-02-14T08:28:32.869Z] [INFO] This option will upload the complete solution draft log file to the Pull Request.\n[2026-02-14T08:28:32.869Z] [INFO] The log may contain sensitive information such as:\n[2026-02-14T08:28:32.870Z] [INFO] • API keys, tokens, or secrets\n[2026-02-14T08:28:32.870Z] [INFO] • File paths and directory structures\n[2026-02-14T08:28:32.870Z] [INFO] • Command outputs and error messages\n[2026-02-14T08:28:32.870Z] [INFO] • Internal system information\n[2026-02-14T08:28:32.871Z] [INFO] \n[2026-02-14T08:28:32.871Z] [INFO] ⚠️ DO NOT use this option with public repositories or if the log\n[2026-02-14T08:28:32.871Z] [INFO] might contain sensitive data that should not be shared publicly.\n[2026-02-14T08:28:32.871Z] [INFO] \n[2026-02-14T08:28:32.871Z] [INFO] Continuing in 5 seconds... (Press Ctrl+C to abort)\n[2026-02-14T08:28:32.872Z] [INFO] \n[2026-02-14T08:28:37.877Z] [INFO] \n[2026-02-14T08:28:37.903Z] [INFO] 💾 Disk space check: 56093MB available (2048MB required) ✅\n[2026-02-14T08:28:37.905Z] [INFO] 🧠 Memory check: 11553MB available, swap: 4095MB (0MB used), total: 15648MB (256MB required) ✅\n[2026-02-14T08:28:37.921Z] [INFO] ⏩ Skipping tool connection validation (dry-run mode or skip-tool-connection-check enabled)\n[2026-02-14T08:28:37.921Z] [INFO] ⏩ Skipping GitHub authentication check (dry-run mode or skip-tool-connection-check enabled)\n[2026-02-14T08:28:37.921Z] [INFO] 📋 URL validation:\n[2026-02-14T08:28:37.922Z] [INFO] Input URL: https://github.com/Jhon-Crow/godot-topdown-MVP/issues/761\n[2026-02-14T08:28:37.922Z] [INFO] Is Issue URL: true\n[2026-02-14T08:28:37.922Z] [INFO] Is PR URL: false\n[2026-02-14T08:28:37.922Z] [INFO] 🔍 Checking repository access for auto-fork...\n[2026-02-14T08:28:38.738Z] [INFO] Repository visibility: public\n[2026-02-14T08:28:38.738Z] [INFO] ✅ Auto-fork: No write access detected, enabling fork mode\n[2026-02-14T08:28:38.739Z] [INFO] ✅ Repository access check: Skipped (fork mode enabled)\n[2026-02-14T08:28:39.054Z] [INFO] Repository visibility: public\n[2026-02-14T08:28:39.055Z] [INFO] Auto-cleanup default: false (repository is public)\n[2026-02-14T08:28:39.056Z] [INFO] 🔍 Auto-continue enabled: Checking for existing PRs for issue #761...\n[2026-02-14T08:28:39.706Z] [INFO] 🔍 Fork mode: Checking for existing branches in konard/Jhon-Crow-godot-topdown-MVP...\n[2026-02-14T08:28:40.737Z] [INFO] 📋 Found 2 existing branch(es) in fork matching pattern 'issue-761-*':\n[2026-02-14T08:28:40.738Z] [INFO] • issue-761-b96531197eec\n[2026-02-14T08:28:40.738Z] [INFO] • issue-761-ea895c87868e\n[2026-02-14T08:28:41.158Z] [INFO] 📋 Found 10 existing PR(s) linked to issue #761\n[2026-02-14T08:28:41.158Z] [INFO] PR #776: created 13h ago (OPEN, ready)\n[2026-02-14T08:28:41.159Z] [INFO] PR #776: Branch 'issue-724-6b719f7321c5' doesn't match expected pattern 'issue-761-*' - skipping\n[2026-02-14T08:28:41.160Z] [INFO] PR #774: created 21h ago (OPEN, draft)\n[2026-02-14T08:28:41.160Z] [INFO] PR #774: Branch 'issue-763-5b2ad156c55c' doesn't match expected pattern 'issue-761-*' - skipping\n[2026-02-14T08:28:41.160Z] [INFO] PR #756: created 43h ago (OPEN, ready)\n[2026-02-14T08:28:41.160Z] [INFO] PR #756: Branch 'issue-755-02f7f5dbfa10' doesn't match expected pattern 'issue-761-*' - skipping\n[2026-02-14T08:28:41.160Z] [INFO] PR #749: created 83h ago (OPEN, ready)\n[2026-02-14T08:28:41.161Z] [INFO] PR #749: Branch 'issue-748-3dffe4179649' doesn't match expected pattern 'issue-761-*' - skipping\n[2026-02-14T08:28:41.161Z] [INFO] PR #746: created 84h ago (OPEN, ready)\n[2026-02-14T08:28:41.161Z] [INFO] PR #746: Branch 'issue-744-95dafced7ca4' doesn't match expected pattern 'issue-761-*' - skipping\n[2026-02-14T08:28:41.161Z] [INFO] PR #745: created 84h ago (OPEN, ready)\n[2026-02-14T08:28:41.161Z] [INFO] PR #745: Branch 'issue-714-be0e715caba6' doesn't match expected pattern 'issue-761-*' - skipping\n[2026-02-14T08:28:41.161Z] [INFO] PR #743: created 85h ago (OPEN, ready)\n[2026-02-14T08:28:41.161Z] [INFO] PR #743: Branch 'issue-719-5f2cfc6c4a5a' doesn't match expected pattern 'issue-761-*' - skipping\n[2026-02-14T08:28:41.161Z] [INFO] PR #732: created 86h ago (OPEN, ready)\n[2026-02-14T08:28:41.161Z] [INFO] PR #732: Branch 'issue-721-05c2ae3f2e15' doesn't match expected pattern 'issue-761-*' - skipping\n[2026-02-14T08:28:41.161Z] [INFO] PR #706: created 126h ago (OPEN, ready)\n[2026-02-14T08:28:41.161Z] [INFO] PR #706: Branch 'issue-704-7670241cec95' doesn't match expected pattern 'issue-761-*' - skipping\n[2026-02-14T08:28:41.162Z] [INFO] PR #701: created 128h ago (OPEN, ready)\n[2026-02-14T08:28:41.162Z] [INFO] PR #701: Branch 'issue-700-59b72625fc7e' doesn't match expected pattern 'issue-761-*' - skipping\n[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[2026-02-14T08:28:41.162Z] [INFO] ✅ Using existing branch from fork: issue-761-ea895c87868e\n[2026-02-14T08:28:41.162Z] [INFO] Found 2 matching branch(es), selected most recent\n[2026-02-14T08:28:41.536Z] [INFO] Branch issue-761-ea895c87868e has a CLOSED PR #775 - cannot reuse\n[2026-02-14T08:28:41.537Z] [INFO] Will create a new branch for issue #761\n[2026-02-14T08:28:41.537Z] [INFO] 📝 Issue mode: Working with issue #761\n[2026-02-14T08:28:41.539Z] [INFO] \nCreating temporary directory: /tmp/gh-issue-solver-1771057721538\n[2026-02-14T08:28:41.541Z] [INFO] \n🍴 Fork mode: ENABLED\n[2026-02-14T08:28:41.541Z] [INFO] Checking fork status... \n\n[2026-02-14T08:28:41.845Z] [INFO] 🔍 Detecting fork conflicts... \n[2026-02-14T08:28:42.941Z] [INFO] ✅ No fork conflict: Safe to proceed\n[2026-02-14T08:28:43.270Z] [INFO] ✅ Fork exists: konard/Jhon-Crow-godot-topdown-MVP\n[2026-02-14T08:28:43.271Z] [INFO] 🔍 Validating fork parent... \n[2026-02-14T08:28:43.732Z] [INFO] ✅ Fork parent validated: Jhon-Crow/godot-topdown-MVP\n[2026-02-14T08:28:43.734Z] [INFO] \n📥 Cloning repository: konard/Jhon-Crow-godot-topdown-MVP\n[2026-02-14T08:28:48.186Z] [INFO] ✅ Cloned to: /tmp/gh-issue-solver-1771057721538\n[2026-02-14T08:28:48.225Z] [INFO] 🔗 Setting upstream: Jhon-Crow/godot-topdown-MVP\n[2026-02-14T08:28:48.264Z] [INFO] ℹ️ Upstream exists: Using existing upstream remote\n[2026-02-14T08:28:48.264Z] [INFO] 🔄 Fetching upstream... \n[2026-02-14T08:28:48.607Z] [INFO] ✅ Upstream fetched: Successfully\n[2026-02-14T08:28:48.607Z] [INFO] 🔄 Syncing default branch... \n[2026-02-14T08:28:48.956Z] [INFO] ℹ️ Default branch: main\n[2026-02-14T08:28:50.328Z] [INFO] ✅ Default branch synced: with upstream/main\n[2026-02-14T08:28:50.329Z] [INFO] 🔄 Pushing to fork: main branch\n[2026-02-14T08:28:51.098Z] [INFO] ✅ Fork updated: Default branch pushed to fork\n[2026-02-14T08:28:51.209Z] [INFO] \n📌 Default branch: main\n[2026-02-14T08:28:51.257Z] [INFO] \n🌿 Creating branch: issue-761-a0caf45f6eba from main (default)\n[2026-02-14T08:28:51.302Z] [INFO] 🔍 Verifying: Branch creation...\n[2026-02-14T08:28:51.335Z] [INFO] ✅ Branch created: issue-761-a0caf45f6eba", | |
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| "content": "/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-32-\nEXAMPLES.md-33-opencode:\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-34-\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-35-```bash\nEXAMPLES.md:36:echo '{\"message\":\"hi\"}' | opencode run --format json --model opencode/kimi-k2.5-free\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-37-```\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-38-\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-39-### Plain Text Input (@link-assistant/agent only)\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-40-\n--\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-59-\nEXAMPLES.md-60-**opencode:**\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-61-\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-62-```bash\nEXAMPLES.md:63:echo '{\"message\":\"hello world\"}' | opencode run --format json --model opencode/kimi-k2.5-free\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-64-```\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-65-\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-66-## File Operations\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-67-\n--\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-77-\nEXAMPLES.md-78-**opencode:**\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-79-\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-80-```bash\nEXAMPLES.md:81:echo '{\"message\":\"run command\",\"tools\":[{\"name\":\"bash\",\"params\":{\"command\":\"echo hello world\"}}]}' | opencode run --format json --model opencode/kimi-k2.5-free\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-82-```\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-83-\nEXAMPLES.md-84-**Example with description:**\n/tmp/gh-issue-solver-1771066033892/EXAMPLES.md-85-\n--\n\n[Showing results with pagination = limit: 30, offset: 0]" | |
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| "content": "332: * - Kimi K2.5 (moonshot/kimi-k2.5:free) - Free, agentic capabilities\n827: 'kimi-k2.5-free': {\n828: id: 'moonshot/kimi-k2.5:free',\n1286: 'kimi-k2.5-free',\n1297: 'kimi-k2.5-free',\n1311: 'kimi-k2.5-free',\n1396: * - SHARED: kimi-k2.5-free (available in both)\n1397: * 3. For shared models like kimi-k2.5-free, prefer OpenCode first, then fall back to Kilo on rate limit\n1479: * - \"kimi-k2.5-free\" -> { providerID: \"opencode\", modelID: \"kimi-k2.5-free\" } (resolved)\n1515: * If user specifies \"kilo/kimi-k2.5-free\", no fallback will occur.\n1518: // kimi-k2.5-free is available in both OpenCode and Kilo\n1519: 'kimi-k2.5-free': ['opencode', 'kilo'],\n1529: * If the original request had an explicit provider (like \"kilo/kimi-k2.5-free\"), this returns empty array.", | |
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are truncated. Consider using a more specific path or pattern.)" | |
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| [2026-02-14T10:48:52.323Z] [INFO] { | |
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| { | |
| "content": "Read core retry utility and error handling files", | |
| "status": "in_progress", | |
| "activeForm": "Reading core retry utility and error handling files" | |
| }, | |
| { | |
| "content": "Read baseLlmClient.ts and geminiChat.ts for streaming logic", | |
| "status": "pending", | |
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| }, | |
| { | |
| "content": "Read SSE-related files and stream parsing code", | |
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| { | |
| "content": "Read error classification and fallback handling", | |
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| "activeForm": "Reading error classification and fallback handling" | |
| }, | |
| { | |
| "content": "Read network retry tests and turn.ts for stream consumption", | |
| "status": "pending", | |
| "activeForm": "Reading network retry tests and turn.ts for stream consumption" | |
| }, | |
| { | |
| "content": "Compile comprehensive report", | |
| "status": "pending", | |
| "activeForm": "Compiling comprehensive report" | |
| } | |
| ] | |
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| "type": "direct" | |
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| [2026-02-14T10:48:52.332Z] [INFO] { | |
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| "tool_use_id": "toolu_011wHP84NFxQEUhH6qb3679J", | |
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| "content": "Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable" | |
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| [2026-02-14T10:48:52.357Z] [INFO] { | |
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| "content": "71: async opencode(input) {\n245: 'HTTP-Referer': 'https://opencode.ai/',\n246: 'X-Title': 'opencode',\n256: 'http-referer': 'https://opencode.ai/',\n257: 'x-title': 'opencode',\n313: 'HTTP-Referer': 'https://opencode.ai/',\n314: 'X-Title': 'opencode',\n579: autoload: Flag.OPENCODE_DRY_RUN, // Auto-load only in dry-run mode\n592: * It can be used explicitly with: --model link-assistant/cache/opencode/grok-code\n601: // modelID should be in format \"provider/model\" like \"opencode/grok-code\"\n1050: Flag.OPENCODE_ENABLE_EXPERIMENTAL_MODELS) &&\n1284: if (providerID === 'opencode' || providerID === 'local') {\n1338: if (Flag.OPENCODE_DRY_RUN) {\n1348: // Prefer opencode provider if available\n1350: const opencodeProvider = providers.find((p) => p.info.id === 'opencode');\n1351: if (opencodeProvider) {\n1352: const [model] = sort(Object.values(opencodeProvider.info.models));\n1355: message: 'using opencode provider as default',\n1356: provider: opencodeProvider.info.id,\n1360: providerID: opencodeProvider.info.id,\n1366: // Fall back to any available provider if opencode is not available\n1395: * - opencode: minimax-m2.5-free, big-pickle, gpt-5-nano (unique to OpenCode)\n1451: // This follows the convention that opencode is the primary free provider\n1452: if (matchingProviders.includes('opencode')) {\n1454: message: 'resolved short model name to opencode (multiple providers)',\n1458: return { providerID: 'opencode', modelID };\n1479: * - \"kimi-k2.5-free\" -> { providerID: \"opencode\", modelID: \"kimi-k2.5-free\" } (resolved)\n1499: // Unable to resolve - fall back to default behavior (opencode provider)\n1501: message: 'unable to resolve short model name, using opencode as default',\n1505: providerID: 'opencode',\n1519: 'kimi-k2.5-free': ['opencode', 'kilo'],", | |
| "is_error": false | |
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| [2026-02-14T10:48:52.791Z] [INFO] { | |
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| "output_mode": "files_with_matches" | |
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| [2026-02-14T10:48:53.315Z] [INFO] { | |
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| "content": "<persisted-output>\nOutput too large (23.7KB). Full output saved to: /home/hive/.claude/projects/-tmp-gh-issue-solver-1771066033892/76154483-84eb-4aef-9495-02d86c7cc1ca/tool-results/toolu_015wx8HNsVVokngRYHx6Nd3X.txt\n\nPreview (first 2KB):\nFound 332 files\n/tmp/qwen-code-analysis/scripts/unused-keys-only-in-locales.json\n/tmp/qwen-code-analysis/scripts/installation/install-qwen-with-source.sh\n/tmp/qwen-code-analysis/scripts/installation/INSTALLATION_GUIDE.md\n/tmp/qwen-code-analysis/scripts/lint.js\n/tmp/qwen-code-analysis/scripts/local_telemetry.js\n/tmp/qwen-code-analysis/scripts/pre-commit.js\n/tmp/qwen-code-analysis/scripts/prepare-package.js\n/tmp/qwen-code-analysis/scripts/start.js\n/tmp/qwen-code-analysis/scripts/telemetry_gcp.js\n/tmp/qwen-code-analysis/scripts/telemetry_utils.js\n/tmp/qwen-code-analysis/packages/webui/vite.config.ts\n/tmp/qwen-code-analysis/scripts/check-i18n.ts\n/tmp/qwen-code-analysis/scripts/check-lockfile.js\n/tmp/qwen-code-analysis/scripts/copy_bundle_assets.js\n/tmp/qwen-code-analysis/packages/webui/src/components/ui/Button.tsx\n/tmp/qwen-code-analysis/packages/webui/src/components/ui/Input.tsx\n/tmp/qwen-code-analysis/packages/webui/src/context/PlatformContext.tsx\n/tmp/qwen-code-analysis/packages/webui/src/styles/timeline.css\n/tmp/qwen-code-analysis/packages/webui/src/components/toolcalls/CheckboxDisplay.tsx\n/tmp/qwen-code-analysis/packages/webui/src/components/toolcalls/ReadToolCall.tsx\n/tmp/qwen-code-analysis/packages/webui/src/components/toolcalls/ShellToolCall.stories.tsx\n/tmp/qwen-code-analysis/packages/webui/src/components/toolcalls/ThinkToolCall.stories.tsx\n/tmp/qwen-code-analysis/packages/webui/src/components/toolcalls/ThinkToolCall.tsx\n/tmp/qwen-code-analysis/packages/webui/src/components/messages/Assistant/AssistantMessage.stories.tsx\n/tmp/qwen-code-analysis/packages/webui/src/components/icons/types.ts\n/tmp/qwen-code-analysis/packages/webui/src/components/layout/Onboarding.tsx\n/tmp/qwen-code-analysis/packages/webui/src/components/ChatViewer/ChatViewer.stories.tsx\n/tmp/qwen-code-analysis/packages/webui/src/components/ChatViewer/ChatViewer.tsx\n/tmp/qwen-code-analysis/packages/webui/src/components/PermissionDrawer.css\n...\n</persisted-output>" | |
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| } | |
| [2026-02-14T10:48:54.121Z] [INFO] { | |
| "type": "assistant", | |
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| "model": "claude-opus-4-6", | |
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| { | |
| "type": "tool_use", | |
| "id": "toolu_01EbGhnH5V1bzus8RVi9GD2M", | |
| "name": "Grep", | |
| "input": { | |
| "pattern": "retry.*stream|stream.*retry|retryStream|streamRetry", | |
| "path": "/tmp/qwen-code-analysis", | |
| "-i": true, | |
| "output_mode": "content", | |
| "-n": true | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
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| "ephemeral_1h_input_tokens": 463 | |
| }, | |
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| "service_tier": "standard", | |
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| }, | |
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| "parent_tool_use_id": "toolu_01FRxMizcMs1gt93z2tf66ue", | |
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| } | |
| [2026-02-14T10:48:54.452Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01EbGhnH5V1bzus8RVi9GD2M", | |
| "type": "tool_result", | |
| "content": "/tmp/qwen-code-analysis/packages/core/src/qwen/qwenContentGenerator.test.ts:479: it('should refresh token on auth error and retry for content stream', async () => {\n/tmp/qwen-code-analysis/packages/core/src/subagents/subagent.ts:411: if (streamEvent.type === 'retry') {\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.ts:50: | { type: StreamEventType.RETRY; retryInfo?: RetryInfo };\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.ts:68: * Options for retrying on rate-limit throttling errors returned as stream content.\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.ts:296: yield { type: StreamEventType.RETRY };\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.ts:334: type: StreamEventType.RETRY,\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.ts:410: const streamResponse = await retryWithBackoff(apiCall, {\n/tmp/qwen-code-analysis/packages/core/src/core/turn.test.ts:824: it('should yield a Retry event when it receives one from the chat stream', async () => {\n/tmp/qwen-code-analysis/packages/core/src/core/turn.test.ts:826: yield { type: StreamEventType.RETRY };\n/tmp/qwen-code-analysis/packages/core/src/core/turn.ts:240: // { type: StreamEventType.RETRY } or { type: StreamEventType.CHUNK, value: GenerateContentResponse }\n/tmp/qwen-code-analysis/packages/core/src/core/turn.ts:259: if (streamEvent.type === 'retry') {\n/tmp/qwen-code-analysis/packages/core/src/core/turn.ts:262: retryInfo: streamEvent.retryInfo,\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:777: it('should yield a RETRY event when an invalid stream is encountered', async () => {\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:789: // Second attempt (the retry): A minimal valid stream.\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:813: // ASSERT: Check that a RETRY event was present in the stream's output.\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:814: const retryEvent = events.find((e) => e.type === StreamEventType.RETRY);\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:817: expect(retryEvent?.type).toBe(StreamEventType.RETRY);\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:862: expect(chunks.some((c) => c.type === StreamEventType.RETRY)).toBe(true);\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:934: it('should retry on TPM throttling StreamContentError with fixed delay', async () => {\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:972: expect(first.value.type).toBe(StreamEventType.RETRY);\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:980: expect(second.value.type).toBe(StreamEventType.RETRY);\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:994: events.filter((e) => e.type === StreamEventType.RETRY),\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:1010: it('should retry on GLM rate limit StreamContentError with backoff delay', async () => {\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:1048: expect(first.value.type).toBe(StreamEventType.RETRY);\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:1056: expect(second.value.type).toBe(StreamEventType.RETRY);\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:1060: second.value.type === StreamEventType.RETRY &&\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:1079: events.filter((e) => e.type === StreamEventType.RETRY),\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:1304: // Assert that the correct metrics were reported for one empty-stream retry\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:1337: it('should retry if the model returns a completely empty stream (no chunks)', async () => {\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts:1577: expect(events.some((e) => e.type === StreamEventType.RETRY)).toBe(true);\n/tmp/qwen-code-analysis/packages/core/src/core/openaiContentGenerator/pipeline.ts:187: // the caller's retry logic (e.g., TPM throttling retry in sendMessageStream)" | |
| } | |
| ] | |
| }, | |
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| "uuid": "085bb467-ecef-46a4-8162-827b6f0522d1" | |
| } | |
| [2026-02-14T10:48:54.827Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01BfRmFPb2rxtY6du8mt94iz", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_015U3qhU5akxzkrSA1HDYdCp", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/gemini-cli-analysis/packages/core/src/utils/retry.ts" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
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| }, | |
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| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
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| }, | |
| "parent_tool_use_id": "toolu_014bQU2RxPEtbzcNhJ1g1YCk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "a31154af-ca28-4369-a042-eb8e09892d15" | |
| } | |
| [2026-02-14T10:48:54.830Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
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| { | |
| "tool_use_id": "toolu_015U3qhU5akxzkrSA1HDYdCp", | |
| "type": "tool_result", | |
| "content": " 1→/**\n 2→ * @license\n 3→ * Copyright 2025 Google LLC\n 4→ * SPDX-License-Identifier: Apache-2.0\n 5→ */\n 6→\n 7→import type { GenerateContentResponse } from '@google/genai';\n 8→import { ApiError } from '@google/genai';\n 9→import {\n 10→ TerminalQuotaError,\n 11→ RetryableQuotaError,\n 12→ ValidationRequiredError,\n 13→ classifyGoogleError,\n 14→} from './googleQuotaErrors.js';\n 15→import { delay, createAbortError } from './delay.js';\n 16→import { debugLogger } from './debugLogger.js';\n 17→import { getErrorStatus, ModelNotFoundError } from './httpErrors.js';\n 18→import type { RetryAvailabilityContext } from '../availability/modelPolicy.js';\n 19→\n 20→export type { RetryAvailabilityContext };\n 21→export const DEFAULT_MAX_ATTEMPTS = 3;\n 22→\n 23→export interface RetryOptions {\n 24→ maxAttempts: number;\n 25→ initialDelayMs: number;\n 26→ maxDelayMs: number;\n 27→ shouldRetryOnError: (error: Error, retryFetchErrors?: boolean) => boolean;\n 28→ shouldRetryOnContent?: (content: GenerateContentResponse) => boolean;\n 29→ onPersistent429?: (\n 30→ authType?: string,\n 31→ error?: unknown,\n 32→ ) => Promise<string | boolean | null>;\n 33→ onValidationRequired?: (\n 34→ error: ValidationRequiredError,\n 35→ ) => Promise<'verify' | 'change_auth' | 'cancel'>;\n 36→ authType?: string;\n 37→ retryFetchErrors?: boolean;\n 38→ signal?: AbortSignal;\n 39→ getAvailabilityContext?: () => RetryAvailabilityContext | undefined;\n 40→ onRetry?: (attempt: number, error: unknown, delayMs: number) => void;\n 41→}\n 42→\n 43→const DEFAULT_RETRY_OPTIONS: RetryOptions = {\n 44→ maxAttempts: DEFAULT_MAX_ATTEMPTS,\n 45→ initialDelayMs: 5000,\n 46→ maxDelayMs: 30000, // 30 seconds\n 47→ shouldRetryOnError: isRetryableError,\n 48→};\n 49→\n 50→const RETRYABLE_NETWORK_CODES = [\n 51→ 'ECONNRESET',\n 52→ 'ETIMEDOUT',\n 53→ 'EPIPE',\n 54→ 'ENOTFOUND',\n 55→ 'EAI_AGAIN',\n 56→ 'ECONNREFUSED',\n 57→ // SSL/TLS transient errors\n 58→ 'ERR_SSL_SSLV3_ALERT_BAD_RECORD_MAC',\n 59→ 'ERR_SSL_WRONG_VERSION_NUMBER',\n 60→ 'ERR_SSL_DECRYPTION_FAILED_OR_BAD_RECORD_MAC',\n 61→ 'ERR_SSL_BAD_RECORD_MAC',\n 62→ 'EPROTO', // Generic protocol error (often SSL-related)\n 63→];\n 64→\n 65→function getNetworkErrorCode(error: unknown): string | undefined {\n 66→ const getCode = (obj: unknown): string | undefined => {\n 67→ if (typeof obj !== 'object' || obj === null) {\n 68→ return undefined;\n 69→ }\n 70→ if ('code' in obj && typeof (obj as { code: unknown }).code === 'string') {\n 71→ // eslint-disable-next-line @typescript-eslint/no-unsafe-type-assertion\n 72→ return (obj as { code: string }).code;\n 73→ }\n 74→ return undefined;\n 75→ };\n 76→\n 77→ const directCode = getCode(error);\n 78→ if (directCode) {\n 79→ return directCode;\n 80→ }\n 81→\n 82→ // Traverse the cause chain to find error codes (SSL errors are often nested)\n 83→ let current: unknown = error;\n 84→ const maxDepth = 5; // Prevent infinite loops in case of circular references\n 85→ for (let depth = 0; depth < maxDepth; depth++) {\n 86→ if (\n 87→ typeof current !== 'object' ||\n 88→ current === null ||\n 89→ !('cause' in current)\n 90→ ) {\n 91→ break;\n 92→ }\n 93→ current = (current as { cause: unknown }).cause;\n 94→ const code = getCode(current);\n 95→ if (code) {\n 96→ return code;\n 97→ }\n 98→ }\n 99→\n 100→ return undefined;\n 101→}\n 102→\n 103→const FETCH_FAILED_MESSAGE = 'fetch failed';\n 104→\n 105→/**\n 106→ * Default predicate function to determine if a retry should be attempted.\n 107→ * Retries on 429 (Too Many Requests) and 5xx server errors.\n 108→ * @param error The error object.\n 109→ * @param retryFetchErrors Whether to retry on specific fetch errors.\n 110→ * @returns True if the error is a transient error, false otherwise.\n 111→ */\n 112→export function isRetryableError(\n 113→ error: Error | unknown,\n 114→ retryFetchErrors?: boolean,\n 115→): boolean {\n 116→ // Check for common network error codes\n 117→ const errorCode = getNetworkErrorCode(error);\n 118→ if (errorCode && RETRYABLE_NETWORK_CODES.includes(errorCode)) {\n 119→ return true;\n 120→ }\n 121→\n 122→ if (retryFetchErrors && error instanceof Error) {\n 123→ // Check for generic fetch failed message (case-insensitive)\n 124→ if (error.message.toLowerCase().includes(FETCH_FAILED_MESSAGE)) {\n 125→ return true;\n 126→ }\n 127→ }\n 128→\n 129→ // Priority check for ApiError\n 130→ if (error instanceof ApiError) {\n 131→ // Explicitly do not retry 400 (Bad Request)\n 132→ if (error.status === 400) return false;\n 133→ return error.status === 429 || (error.status >= 500 && error.status < 600);\n 134→ }\n 135→\n 136→ // Check for status using helper (handles other error shapes)\n 137→ const status = getErrorStatus(error);\n 138→ if (status !== undefined) {\n 139→ return status === 429 || (status >= 500 && status < 600);\n 140→ }\n 141→\n 142→ return false;\n 143→}\n 144→\n 145→/**\n 146→ * Retries a function with exponential backoff and jitter.\n 147→ * @param fn The asynchronous function to retry.\n 148→ * @param options Optional retry configuration.\n 149→ * @returns A promise that resolves with the result of the function if successful.\n 150→ * @throws The last error encountered if all attempts fail.\n 151→ */\n 152→export async function retryWithBackoff<T>(\n 153→ fn: () => Promise<T>,\n 154→ options?: Partial<RetryOptions>,\n 155→): Promise<T> {\n 156→ if (options?.signal?.aborted) {\n 157→ throw createAbortError();\n 158→ }\n 159→\n 160→ if (options?.maxAttempts !== undefined && options.maxAttempts <= 0) {\n 161→ throw new Error('maxAttempts must be a positive number.');\n 162→ }\n 163→\n 164→ const cleanOptions = options\n 165→ ? Object.fromEntries(Object.entries(options).filter(([_, v]) => v != null))\n 166→ : {};\n 167→\n 168→ const {\n 169→ maxAttempts,\n 170→ initialDelayMs,\n 171→ maxDelayMs,\n 172→ onPersistent429,\n 173→ onValidationRequired,\n 174→ authType,\n 175→ shouldRetryOnError,\n 176→ shouldRetryOnContent,\n 177→ retryFetchErrors,\n 178→ signal,\n 179→ getAvailabilityContext,\n 180→ onRetry,\n 181→ } = {\n 182→ ...DEFAULT_RETRY_OPTIONS,\n 183→ shouldRetryOnError: isRetryableError,\n 184→ ...cleanOptions,\n 185→ };\n 186→\n 187→ let attempt = 0;\n 188→ let currentDelay = initialDelayMs;\n 189→\n 190→ while (attempt < maxAttempts) {\n 191→ if (signal?.aborted) {\n 192→ throw createAbortError();\n 193→ }\n 194→ attempt++;\n 195→ try {\n 196→ const result = await fn();\n 197→\n 198→ if (\n 199→ shouldRetryOnContent &&\n 200→ // eslint-disable-next-line @typescript-eslint/no-unsafe-type-assertion\n 201→ shouldRetryOnContent(result as GenerateContentResponse)\n 202→ ) {\n 203→ const jitter = currentDelay * 0.3 * (Math.random() * 2 - 1);\n 204→ const delayWithJitter = Math.max(0, currentDelay + jitter);\n 205→ if (onRetry) {\n 206→ onRetry(attempt, new Error('Invalid content'), delayWithJitter);\n 207→ }\n 208→ await delay(delayWithJitter, signal);\n 209→ currentDelay = Math.min(maxDelayMs, currentDelay * 2);\n 210→ continue;\n 211→ }\n 212→\n 213→ const successContext = getAvailabilityContext?.();\n 214→ if (successContext) {\n 215→ successContext.service.markHealthy(successContext.policy.model);\n 216→ }\n 217→\n 218→ return result;\n 219→ } catch (error) {\n 220→ if (error instanceof Error && error.name === 'AbortError') {\n 221→ throw error;\n 222→ }\n 223→\n 224→ const classifiedError = classifyGoogleError(error);\n 225→\n 226→ const errorCode = getErrorStatus(error);\n 227→\n 228→ if (\n 229→ classifiedError instanceof TerminalQuotaError ||\n 230→ classifiedError instanceof ModelNotFoundError\n 231→ ) {\n 232→ if (onPersistent429) {\n 233→ try {\n 234→ const fallbackModel = await onPersistent429(\n 235→ authType,\n 236→ classifiedError,\n 237→ );\n 238→ if (fallbackModel) {\n 239→ attempt = 0; // Reset attempts and retry with the new model.\n 240→ currentDelay = initialDelayMs;\n 241→ continue;\n 242→ }\n 243→ } catch (fallbackError) {\n 244→ debugLogger.warn('Fallback to Flash model failed:', fallbackError);\n 245→ }\n 246→ }\n 247→ // Terminal/not_found already recorded; nothing else to mark here.\n 248→ throw classifiedError; // Throw if no fallback or fallback failed.\n 249→ }\n 250→\n 251→ // Handle ValidationRequiredError - user needs to verify before proceeding\n 252→ if (classifiedError instanceof ValidationRequiredError) {\n 253→ if (onValidationRequired) {\n 254→ try {\n 255→ const intent = await onValidationRequired(classifiedError);\n 256→ if (intent === 'verify') {\n 257→ // User verified, retry the request\n 258→ attempt = 0;\n 259→ currentDelay = initialDelayMs;\n 260→ continue;\n 261→ }\n 262→ // 'change_auth' or 'cancel' - mark as handled and throw\n 263→ classifiedError.userHandled = true;\n 264→ } catch (validationError) {\n 265→ debugLogger.warn('Validation handler failed:', validationError);\n 266→ }\n 267→ }\n 268→ throw classifiedError;\n 269→ }\n 270→\n 271→ const is500 =\n 272→ errorCode !== undefined && errorCode >= 500 && errorCode < 600;\n 273→\n 274→ if (classifiedError instanceof RetryableQuotaError || is500) {\n 275→ if (attempt >= maxAttempts) {\n 276→ const errorMessage =\n 277→ classifiedError instanceof Error ? classifiedError.message : '';\n 278→ debugLogger.warn(\n 279→ `Attempt ${attempt} failed${errorMessage ? `: ${errorMessage}` : ''}. Max attempts reached`,\n 280→ );\n 281→ if (onPersistent429) {\n 282→ try {\n 283→ const fallbackModel = await onPersistent429(\n 284→ authType,\n 285→ classifiedError,\n 286→ );\n 287→ if (fallbackModel) {\n 288→ attempt = 0; // Reset attempts and retry with the new model.\n 289→ currentDelay = initialDelayMs;\n 290→ continue;\n 291→ }\n 292→ } catch (fallbackError) {\n 293→ debugLogger.warn('Model fallback failed:', fallbackError);\n 294→ }\n 295→ }\n 296→ throw classifiedError instanceof RetryableQuotaError\n 297→ ? classifiedError\n 298→ : error;\n 299→ }\n 300→\n 301→ if (\n 302→ classifiedError instanceof RetryableQuotaError &&\n 303→ classifiedError.retryDelayMs !== undefined\n 304→ ) {\n 305→ debugLogger.warn(\n 306→ `Attempt ${attempt} failed: ${classifiedError.message}. Retrying after ${classifiedError.retryDelayMs}ms...`,\n 307→ );\n 308→ if (onRetry) {\n 309→ onRetry(attempt, error, classifiedError.retryDelayMs);\n 310→ }\n 311→ await delay(classifiedError.retryDelayMs, signal);\n 312→ continue;\n 313→ } else {\n 314→ const errorStatus = getErrorStatus(error);\n 315→ logRetryAttempt(attempt, error, errorStatus);\n 316→\n 317→ // Exponential backoff with jitter for non-quota errors\n 318→ const jitter = currentDelay * 0.3 * (Math.random() * 2 - 1);\n 319→ const delayWithJitter = Math.max(0, currentDelay + jitter);\n 320→ if (onRetry) {\n 321→ onRetry(attempt, error, delayWithJitter);\n 322→ }\n 323→ await delay(delayWithJitter, signal);\n 324→ currentDelay = Math.min(maxDelayMs, currentDelay * 2);\n 325→ continue;\n 326→ }\n 327→ }\n 328→\n 329→ // Generic retry logic for other errors\n 330→ if (\n 331→ attempt >= maxAttempts ||\n 332→ // eslint-disable-next-line @typescript-eslint/no-unsafe-type-assertion\n 333→ !shouldRetryOnError(error as Error, retryFetchErrors)\n 334→ ) {\n 335→ throw error;\n 336→ }\n 337→\n 338→ const errorStatus = getErrorStatus(error);\n 339→ logRetryAttempt(attempt, error, errorStatus);\n 340→\n 341→ // Exponential backoff with jitter for non-quota errors\n 342→ const jitter = currentDelay * 0.3 * (Math.random() * 2 - 1);\n 343→ const delayWithJitter = Math.max(0, currentDelay + jitter);\n 344→ if (onRetry) {\n 345→ onRetry(attempt, error, delayWithJitter);\n 346→ }\n 347→ await delay(delayWithJitter, signal);\n 348→ currentDelay = Math.min(maxDelayMs, currentDelay * 2);\n 349→ }\n 350→ }\n 351→\n 352→ throw new Error('Retry attempts exhausted');\n 353→}\n 354→\n 355→/**\n 356→ * Logs a message for a retry attempt when using exponential backoff.\n 357→ * @param attempt The current attempt number.\n 358→ * @param error The error that caused the retry.\n 359→ * @param errorStatus The HTTP status code of the error, if available.\n 360→ */\n 361→function logRetryAttempt(\n 362→ attempt: number,\n 363→ error: unknown,\n 364→ errorStatus?: number,\n 365→): void {\n 366→ let message = `Attempt ${attempt} failed. Retrying with backoff...`;\n 367→ if (errorStatus) {\n 368→ message = `Attempt ${attempt} failed with status ${errorStatus}. Retrying with backoff...`;\n 369→ }\n 370→\n 371→ if (errorStatus === 429) {\n 372→ debugLogger.warn(message, error);\n 373→ } else if (errorStatus && errorStatus >= 500 && errorStatus < 600) {\n 374→ debugLogger.warn(message, error);\n 375→ } else if (error instanceof Error) {\n 376→ // Fallback for errors that might not have a status but have a message\n 377→ if (error.message.includes('429')) {\n 378→ debugLogger.warn(\n 379→ `Attempt ${attempt} failed with 429 error (no Retry-After header). Retrying with backoff...`,\n 380→ error,\n 381→ );\n 382→ } else if (error.message.match(/5\\d{2}/)) {\n 383→ debugLogger.warn(\n 384→ `Attempt ${attempt} failed with 5xx error. Retrying with backoff...`,\n 385→ error,\n 386→ );\n 387→ } else {\n 388→ debugLogger.warn(message, error); // Default to warn for other errors\n 389→ }\n 390→ } else {\n 391→ debugLogger.warn(message, error); // Default to warn if error type is unknown\n 392→ }\n 393→}\n 394→\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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| [2026-02-14T10:48:55.012Z] [INFO] { | |
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| "content": "Found 50 files\n/tmp/qwen-code-analysis/scripts/version.js\n/tmp/qwen-code-analysis/packages/vscode-ide-companion/src/webview/hooks/useWebViewMessages.ts\n/tmp/qwen-code-analysis/packages/vscode-ide-companion/src/webview/handlers/SessionMessageHandler.ts\n/tmp/qwen-code-analysis/packages/sdk-typescript/src/utils/Stream.ts\n/tmp/qwen-code-analysis/packages/sdk-typescript/test/unit/Query.test.ts\n/tmp/qwen-code-analysis/packages/sdk-typescript/test/unit/Stream.test.ts\n/tmp/qwen-code-analysis/packages/sdk-typescript/src/query/createQuery.ts\n/tmp/qwen-code-analysis/packages/sdk-typescript/src/query/Query.ts\n/tmp/qwen-code-analysis/packages/sdk-typescript/src/transport/ProcessTransport.ts\n/tmp/qwen-code-analysis/packages/sdk-java/qwencode/src/main/java/com/alibaba/qwen/code/cli/transport/process/ProcessTransport.java\n/tmp/qwen-code-analysis/packages/sdk-java/client/src/main/java/com/alibaba/acp/sdk/transport/process/ProcessTransport.java\n/tmp/qwen-code-analysis/packages/core/src/utils/errorParsing.test.ts\n/tmp/qwen-code-analysis/packages/core/src/tools/skill.test.ts\n/tmp/qwen-code-analysis/packages/core/src/tools/skill.ts\n/tmp/qwen-code-analysis/packages/core/src/tools/grep.test.ts\n/tmp/qwen-code-analysis/packages/core/src/telemetry/types.ts\n/tmp/qwen-code-analysis/packages/core/src/telemetry/metrics.ts\n/tmp/qwen-code-analysis/packages/core/src/skills/skill-manager.test.ts\n/tmp/qwen-code-analysis/packages/core/src/skills/skill-manager.ts\n/tmp/qwen-code-analysis/packages/core/src/subagents/subagent.test.ts\n/tmp/qwen-code-analysis/packages/core/src/qwen/qwenOAuth2.ts\n/tmp/qwen-code-analysis/packages/core/src/qwen/qwenContentGenerator.test.ts\n/tmp/qwen-code-analysis/packages/core/src/core/turn.test.ts\n/tmp/qwen-code-analysis/packages/core/src/core/openaiContentGenerator/errorHandler.test.ts\n/tmp/qwen-code-analysis/packages/core/src/core/openaiContentGenerator/errorHandler.ts\n/tmp/qwen-code-analysis/packages/core/src/core/openaiContentGenerator/pipeline.test.ts\n/tmp/qwen-code-analysis/packages/core/src/core/openaiContentGenerator/pipeline.ts\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.ts\n/tmp/qwen-code-analysis/packages/core/src/core/loggingContentGenerator/loggingContentGenerator.test.ts\n/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.test.ts\n/tmp/qwen-code-analysis/packages/core/src/core/__tests__/openaiTimeoutHandling.test.ts\n/tmp/qwen-code-analysis/packages/cli/src/validateNonInterActiveAuth.ts\n/tmp/qwen-code-analysis/packages/cli/src/utils/errors.test.ts\n/tmp/qwen-code-analysis/packages/cli/src/utils/errors.ts\n/tmp/qwen-code-analysis/packages/cli/src/ui/utils/terminalSetup.ts\n/tmp/qwen-code-analysis/packages/cli/src/ui/utils/commandUtils.ts\n/tmp/qwen-code-analysis/packages/cli/src/ui/hooks/useGeminiStream.test.tsx\n/tmp/qwen-code-analysis/packages/cli/src/ui/components/Notifications.tsx\n/tmp/qwen-code-analysis/packages/cli/src/nonInteractive/session.test.ts\n/tmp/qwen-code-analysis/packages/cli/src/nonInteractive/session.ts\n/tmp/qwen-code-analysis/packages/cli/src/nonInteractiveCli.test.ts\n/tmp/qwen-code-analysis/packages/cli/src/nonInteractiveCli.ts\n/tmp/qwen-code-analysis/packages/cli/src/nonInteractive/io/StreamJsonInputReader.test.ts\n/tmp/qwen-code-analysis/packages/cli/src/nonInteractive/io/StreamJsonInputReader.ts\n/tmp/qwen-code-analysis/packages/cli/src/config/config.test.ts\n/tmp/qwen-code-analysis/packages/cli/src/acp-integration/acp.ts\n/tmp/qwen-code-analysis/integration-tests/sdk-typescript/abort-and-lifecycle.test.ts\n/tmp/qwen-code-analysis/integration-tests/json-output.test.ts\n/tmp/qwen-code-analysis/docs/developers/tools/shell.md\n/tmp/qwen-code-analysis/docs/users/common-workflow.md" | |
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| [2026-02-14T10:48:55.267Z] [INFO] { | |
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| "tool_use_id": "toolu_017Lw4epbK9iVJ4mJe5MCPXQ", | |
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| "content": " 1→import { APICallError } from \"ai\"\n 2→import { STATUS_CODES } from \"http\"\n 3→import { iife } from \"@/util/iife\"\n 4→\n 5→export namespace ProviderError {\n 6→ // Adapted from overflow detection patterns in:\n 7→ // https://github.com/badlogic/pi-mono/blob/main/packages/ai/src/utils/overflow.ts\n 8→ const OVERFLOW_PATTERNS = [\n 9→ /prompt is too long/i, // Anthropic\n 10→ /input is too long for requested model/i, // Amazon Bedrock\n 11→ /exceeds the context window/i, // OpenAI (Completions + Responses API message text)\n 12→ /input token count.*exceeds the maximum/i, // Google (Gemini)\n 13→ /maximum prompt length is \\d+/i, // xAI (Grok)\n 14→ /reduce the length of the messages/i, // Groq\n 15→ /maximum context length is \\d+ tokens/i, // OpenRouter, DeepSeek\n 16→ /exceeds the limit of \\d+/i, // GitHub Copilot\n 17→ /exceeds the available context size/i, // llama.cpp server\n 18→ /greater than the context length/i, // LM Studio\n 19→ /context window exceeds limit/i, // MiniMax\n 20→ /exceeded model token limit/i, // Kimi For Coding, Moonshot\n 21→ /context[_ ]length[_ ]exceeded/i, // Generic fallback\n 22→ ]\n 23→\n 24→ function isOpenAiErrorRetryable(e: APICallError) {\n 25→ const status = e.statusCode\n 26→ if (!status) return e.isRetryable\n 27→ // openai sometimes returns 404 for models that are actually available\n 28→ return status === 404 || e.isRetryable\n 29→ }\n 30→\n 31→ // Providers not reliably handled in this function:\n 32→ // - z.ai: can accept overflow silently (needs token-count/context-window checks)\n 33→ function isOverflow(message: string) {\n 34→ if (OVERFLOW_PATTERNS.some((p) => p.test(message))) return true\n 35→\n 36→ // Providers/status patterns handled outside of regex list:\n 37→ // - Cerebras: often returns \"400 (no body)\" / \"413 (no body)\"\n 38→ // - Mistral: often returns \"400 (no body)\" / \"413 (no body)\"\n 39→ return /^4(00|13)\\s*(status code)?\\s*\\(no body\\)/i.test(message)\n 40→ }\n 41→\n 42→ function error(providerID: string, error: APICallError) {\n 43→ if (providerID.includes(\"github-copilot\") && error.statusCode === 403) {\n 44→ return \"Please reauthenticate with the copilot provider to ensure your credentials work properly with OpenCode.\"\n 45→ }\n 46→\n 47→ return error.message\n 48→ }\n 49→\n 50→ function message(providerID: string, e: APICallError) {\n 51→ return iife(() => {\n 52→ const msg = e.message\n 53→ if (msg === \"\") {\n 54→ if (e.responseBody) return e.responseBody\n 55→ if (e.statusCode) {\n 56→ const err = STATUS_CODES[e.statusCode]\n 57→ if (err) return err\n 58→ }\n 59→ return \"Unknown error\"\n 60→ }\n 61→\n 62→ const transformed = error(providerID, e)\n 63→ if (transformed !== msg) {\n 64→ return transformed\n 65→ }\n 66→ if (!e.responseBody || (e.statusCode && msg !== STATUS_CODES[e.statusCode])) {\n 67→ return msg\n 68→ }\n 69→\n 70→ try {\n 71→ const body = JSON.parse(e.responseBody)\n 72→ // try to extract common error message fields\n 73→ const errMsg = body.message || body.error || body.error?.message\n 74→ if (errMsg && typeof errMsg === \"string\") {\n 75→ return `${msg}: ${errMsg}`\n 76→ }\n 77→ } catch {}\n 78→\n 79→ return `${msg}: ${e.responseBody}`\n 80→ }).trim()\n 81→ }\n 82→\n 83→ function json(input: unknown) {\n 84→ if (typeof input === \"string\") {\n 85→ try {\n 86→ const result = JSON.parse(input)\n 87→ if (result && typeof result === \"object\") return result\n 88→ return undefined\n 89→ } catch {\n 90→ return undefined\n 91→ }\n 92→ }\n 93→ if (typeof input === \"object\" && input !== null) {\n 94→ return input\n 95→ }\n 96→ return undefined\n 97→ }\n 98→\n 99→ export type ParsedStreamError =\n 100→ | {\n 101→ type: \"context_overflow\"\n 102→ message: string\n 103→ responseBody: string\n 104→ }\n 105→ | {\n 106→ type: \"api_error\"\n 107→ message: string\n 108→ isRetryable: false\n 109→ responseBody: string\n 110→ }\n 111→\n 112→ export function parseStreamError(input: unknown): ParsedStreamError | undefined {\n 113→ const body = json(input)\n 114→ if (!body) return\n 115→\n 116→ const responseBody = JSON.stringify(body)\n 117→ if (body.type !== \"error\") return\n 118→\n 119→ switch (body?.error?.code) {\n 120→ case \"context_length_exceeded\":\n 121→ return {\n 122→ type: \"context_overflow\",\n 123→ message: \"Input exceeds context window of this model\",\n 124→ responseBody,\n 125→ }\n 126→ case \"insufficient_quota\":\n 127→ return {\n 128→ type: \"api_error\",\n 129→ message: \"Quota exceeded. Check your plan and billing details.\",\n 130→ isRetryable: false,\n 131→ responseBody,\n 132→ }\n 133→ case \"usage_not_included\":\n 134→ return {\n 135→ type: \"api_error\",\n 136→ message: \"To use Codex with your ChatGPT plan, upgrade to Plus: https://chatgpt.com/explore/plus.\",\n 137→ isRetryable: false,\n 138→ responseBody,\n 139→ }\n 140→ case \"invalid_prompt\":\n 141→ return {\n 142→ type: \"api_error\",\n 143→ message: typeof body?.error?.message === \"string\" ? body?.error?.message : \"Invalid prompt.\",\n 144→ isRetryable: false,\n 145→ responseBody,\n 146→ }\n 147→ }\n 148→ }\n 149→\n 150→ export type ParsedAPICallError =\n 151→ | {\n 152→ type: \"context_overflow\"\n 153→ message: string\n 154→ responseBody?: string\n 155→ }\n 156→ | {\n 157→ type: \"api_error\"\n 158→ message: string\n 159→ statusCode?: number\n 160→ isRetryable: boolean\n 161→ responseHeaders?: Record<string, string>\n 162→ responseBody?: string\n 163→ metadata?: Record<string, string>\n 164→ }\n 165→\n 166→ export function parseAPICallError(input: { providerID: string; error: APICallError }): ParsedAPICallError {\n 167→ const m = message(input.providerID, input.error)\n 168→ if (isOverflow(m)) {\n 169→ return {\n 170→ type: \"context_overflow\",\n 171→ message: m,\n 172→ responseBody: input.error.responseBody,\n 173→ }\n 174→ }\n 175→\n 176→ const metadata = input.error.url ? { url: input.error.url } : undefined\n 177→ return {\n 178→ type: \"api_error\",\n 179→ message: m,\n 180→ statusCode: input.error.statusCode,\n 181→ isRetryable: input.providerID.startsWith(\"openai\")\n 182→ ? isOpenAiErrorRetryable(input.error)\n 183→ : input.error.isRetryable,\n 184→ responseHeaders: input.error.responseHeaders,\n 185→ responseBody: input.error.responseBody,\n 186→ metadata,\n 187→ }\n 188→ }\n 189→}\n 190→\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_013rKZ2CjV4QE9B4YXGGwYWk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "105cb76a-7072-4e90-80ee-a9adf6a949f0" | |
| } | |
| [2026-02-14T10:48:55.335Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01BfRmFPb2rxtY6du8mt94iz", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_013ebGwM22x28j4ZVaqAjnwK", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/gemini-cli-analysis/packages/core/src/utils/googleErrors.ts" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 319, | |
| "cache_read_input_tokens": 22322, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 319 | |
| }, | |
| "output_tokens": 3, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": "toolu_014bQU2RxPEtbzcNhJ1g1YCk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "5e5cb0f3-9e62-4615-b8a1-4e47db057de9" | |
| } | |
| [2026-02-14T10:48:55.337Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_013ebGwM22x28j4ZVaqAjnwK", | |
| "type": "tool_result", | |
| "content": " 1→/**\n 2→ * @license\n 3→ * Copyright 2025 Google LLC\n 4→ * SPDX-License-Identifier: Apache-2.0\n 5→ */\n 6→\n 7→/**\n 8→ * @fileoverview\n 9→ * This file contains types and functions for parsing structured Google API errors.\n 10→ */\n 11→\n 12→/**\n 13→ * Based on google/rpc/error_details.proto\n 14→ */\n 15→\n 16→export interface ErrorInfo {\n 17→ '@type': 'type.googleapis.com/google.rpc.ErrorInfo';\n 18→ reason: string;\n 19→ domain: string;\n 20→ metadata: { [key: string]: string };\n 21→}\n 22→\n 23→export interface RetryInfo {\n 24→ '@type': 'type.googleapis.com/google.rpc.RetryInfo';\n 25→ retryDelay: string; // e.g. \"51820.638305887s\"\n 26→}\n 27→\n 28→export interface DebugInfo {\n 29→ '@type': 'type.googleapis.com/google.rpc.DebugInfo';\n 30→ stackEntries: string[];\n 31→ detail: string;\n 32→}\n 33→\n 34→export interface QuotaFailure {\n 35→ '@type': 'type.googleapis.com/google.rpc.QuotaFailure';\n 36→ violations: Array<{\n 37→ subject?: string;\n 38→ description?: string;\n 39→ apiService?: string;\n 40→ quotaMetric?: string;\n 41→ quotaId?: string;\n 42→ quotaDimensions?: { [key: string]: string };\n 43→ quotaValue?: string | number;\n 44→ futureQuotaValue?: number;\n 45→ }>;\n 46→}\n 47→\n 48→export interface PreconditionFailure {\n 49→ '@type': 'type.googleapis.com/google.rpc.PreconditionFailure';\n 50→ violations: Array<{\n 51→ type: string;\n 52→ subject: string;\n 53→ description: string;\n 54→ }>;\n 55→}\n 56→\n 57→export interface LocalizedMessage {\n 58→ '@type': 'type.googleapis.com/google.rpc.LocalizedMessage';\n 59→ locale: string;\n 60→ message: string;\n 61→}\n 62→\n 63→export interface BadRequest {\n 64→ '@type': 'type.googleapis.com/google.rpc.BadRequest';\n 65→ fieldViolations: Array<{\n 66→ field: string;\n 67→ description: string;\n 68→ reason?: string;\n 69→ localizedMessage?: LocalizedMessage;\n 70→ }>;\n 71→}\n 72→\n 73→export interface RequestInfo {\n 74→ '@type': 'type.googleapis.com/google.rpc.RequestInfo';\n 75→ requestId: string;\n 76→ servingData: string;\n 77→}\n 78→\n 79→export interface ResourceInfo {\n 80→ '@type': 'type.googleapis.com/google.rpc.ResourceInfo';\n 81→ resourceType: string;\n 82→ resourceName: string;\n 83→ owner: string;\n 84→ description: string;\n 85→}\n 86→\n 87→export interface Help {\n 88→ '@type': 'type.googleapis.com/google.rpc.Help';\n 89→ links: Array<{\n 90→ description: string;\n 91→ url: string;\n 92→ }>;\n 93→}\n 94→\n 95→export type GoogleApiErrorDetail =\n 96→ | ErrorInfo\n 97→ | RetryInfo\n 98→ | DebugInfo\n 99→ | QuotaFailure\n 100→ | PreconditionFailure\n 101→ | BadRequest\n 102→ | RequestInfo\n 103→ | ResourceInfo\n 104→ | Help\n 105→ | LocalizedMessage;\n 106→\n 107→export interface GoogleApiError {\n 108→ code: number;\n 109→ message: string;\n 110→ details: GoogleApiErrorDetail[];\n 111→}\n 112→\n 113→type ErrorShape = {\n 114→ message?: string;\n 115→ details?: unknown[];\n 116→ code?: number;\n 117→};\n 118→\n 119→/**\n 120→ * Parses an error object to check if it's a structured Google API error\n 121→ * and extracts all details.\n 122→ *\n 123→ * This function can handle two formats:\n 124→ * 1. Standard Google API errors where `details` is a top-level field.\n 125→ * 2. Errors where the entire structured error object is stringified inside\n 126→ * the `message` field of a wrapper error.\n 127→ *\n 128→ * @param error The error object to inspect.\n 129→ * @returns A GoogleApiError object if the error matches, otherwise null.\n 130→ */\n 131→export function parseGoogleApiError(error: unknown): GoogleApiError | null {\n 132→ if (!error) {\n 133→ return null;\n 134→ }\n 135→\n 136→ let errorObj: unknown = error;\n 137→\n 138→ // If error is a string, try to parse it.\n 139→ if (typeof errorObj === 'string') {\n 140→ try {\n 141→ errorObj = JSON.parse(errorObj);\n 142→ } catch (_) {\n 143→ // Not a JSON string, can't parse.\n 144→ return null;\n 145→ }\n 146→ }\n 147→\n 148→ if (Array.isArray(errorObj) && errorObj.length > 0) {\n 149→ errorObj = errorObj[0];\n 150→ }\n 151→\n 152→ if (typeof errorObj !== 'object' || errorObj === null) {\n 153→ return null;\n 154→ }\n 155→\n 156→ let currentError: ErrorShape | undefined =\n 157→ fromGaxiosError(errorObj) ?? fromApiError(errorObj);\n 158→\n 159→ let depth = 0;\n 160→ const maxDepth = 10;\n 161→ // Handle cases where the actual error object is stringified inside the message\n 162→ // by drilling down until we find an error that doesn't have a stringified message.\n 163→ while (\n 164→ currentError &&\n 165→ typeof currentError.message === 'string' &&\n 166→ depth < maxDepth\n 167→ ) {\n 168→ try {\n 169→ const parsedMessage = JSON.parse(\n 170→ currentError.message.replace(/\\u00A0/g, '').replace(/\\n/g, ' '),\n 171→ );\n 172→ if (parsedMessage.error) {\n 173→ currentError = parsedMessage.error;\n 174→ depth++;\n 175→ } else {\n 176→ // The message is a JSON string, but not a nested error object.\n 177→ break;\n 178→ }\n 179→ } catch (_error) {\n 180→ // It wasn't a JSON string, so we've drilled down as far as we can.\n 181→ break;\n 182→ }\n 183→ }\n 184→\n 185→ if (!currentError) {\n 186→ return null;\n 187→ }\n 188→\n 189→ const code = currentError.code;\n 190→ const message = currentError.message;\n 191→ const errorDetails = currentError.details;\n 192→\n 193→ if (code && message) {\n 194→ const details: GoogleApiErrorDetail[] = [];\n 195→ if (Array.isArray(errorDetails)) {\n 196→ for (const detail of errorDetails) {\n 197→ if (detail && typeof detail === 'object') {\n 198→ // eslint-disable-next-line @typescript-eslint/no-unsafe-type-assertion\n 199→ const detailObj = detail as Record<string, unknown>;\n 200→ const typeKey = Object.keys(detailObj).find(\n 201→ (key) => key.trim() === '@type',\n 202→ );\n 203→ if (typeKey) {\n 204→ if (typeKey !== '@type') {\n 205→ detailObj['@type'] = detailObj[typeKey];\n 206→ delete detailObj[typeKey];\n 207→ }\n 208→ // We can just cast it; the consumer will have to switch on @type\n 209→ // eslint-disable-next-line @typescript-eslint/no-unsafe-type-assertion\n 210→ details.push(detailObj as unknown as GoogleApiErrorDetail);\n 211→ }\n 212→ }\n 213→ }\n 214→ }\n 215→\n 216→ return {\n 217→ code,\n 218→ message,\n 219→ details,\n 220→ };\n 221→ }\n 222→\n 223→ return null;\n 224→}\n 225→\n 226→function fromGaxiosError(errorObj: object): ErrorShape | undefined {\n 227→ const gaxiosError = errorObj as {\n 228→ response?: {\n 229→ status?: number;\n 230→ data?:\n 231→ | {\n 232→ error?: ErrorShape;\n 233→ }\n 234→ | string;\n 235→ };\n 236→ error?: ErrorShape;\n 237→ code?: number;\n 238→ };\n 239→\n 240→ let outerError: ErrorShape | undefined;\n 241→ if (gaxiosError.response?.data) {\n 242→ let data = gaxiosError.response.data;\n 243→\n 244→ if (typeof data === 'string') {\n 245→ try {\n 246→ data = JSON.parse(data);\n 247→ } catch (_) {\n 248→ // Not a JSON string, can't parse.\n 249→ }\n 250→ }\n 251→\n 252→ if (Array.isArray(data) && data.length > 0) {\n 253→ data = data[0];\n 254→ }\n 255→\n 256→ if (typeof data === 'object' && data !== null) {\n 257→ if ('error' in data) {\n 258→ // eslint-disable-next-line @typescript-eslint/no-unsafe-type-assertion\n 259→ outerError = (data as { error: ErrorShape }).error;\n 260→ }\n 261→ }\n 262→ }\n 263→\n 264→ if (!outerError) {\n 265→ // If the gaxios structure isn't there, check for a top-level `error` property.\n 266→ if (gaxiosError.error) {\n 267→ outerError = gaxiosError.error;\n 268→ } else {\n 269→ return undefined;\n 270→ }\n 271→ }\n 272→ return outerError;\n 273→}\n 274→\n 275→function fromApiError(errorObj: object): ErrorShape | undefined {\n 276→ const apiError = errorObj as {\n 277→ message?:\n 278→ | {\n 279→ error?: ErrorShape;\n 280→ }\n 281→ | string;\n 282→ code?: number;\n 283→ };\n 284→\n 285→ let outerError: ErrorShape | undefined;\n 286→ if (apiError.message) {\n 287→ let data = apiError.message;\n 288→\n 289→ if (typeof data === 'string') {\n 290→ try {\n 291→ data = JSON.parse(data);\n 292→ } catch (_) {\n 293→ // Not a JSON string, can't parse.\n 294→ // Try one more fallback: look for the first '{' and last '}'\n 295→ if (typeof data === 'string') {\n 296→ const firstBrace = data.indexOf('{');\n 297→ const lastBrace = data.lastIndexOf('}');\n 298→ if (firstBrace !== -1 && lastBrace !== -1 && lastBrace > firstBrace) {\n 299→ try {\n 300→ data = JSON.parse(data.substring(firstBrace, lastBrace + 1));\n 301→ } catch (__) {\n 302→ // Still failed\n 303→ }\n 304→ }\n 305→ }\n 306→ }\n 307→ }\n 308→\n 309→ if (Array.isArray(data) && data.length > 0) {\n 310→ data = data[0];\n 311→ }\n 312→\n 313→ if (typeof data === 'object' && data !== null) {\n 314→ if ('error' in data) {\n 315→ // eslint-disable-next-line @typescript-eslint/no-unsafe-type-assertion\n 316→ outerError = (data as { error: ErrorShape }).error;\n 317→ }\n 318→ }\n 319→ }\n 320→ return outerError;\n 321→}\n 322→\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_014bQU2RxPEtbzcNhJ1g1YCk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "1adfc73c-fb51-4bd9-b1fd-6efe32f46213" | |
| } | |
| [2026-02-14T10:48:55.590Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01ALRjYN6zGnsGpiZnTwq8Fd", | |
| "type": "tool_result", | |
| "content": "/tmp/codex-analysis/sdk/typescript/src/thread.ts:100: parsed = JSON.parse(item) as ThreadEvent;\n/tmp/codex-analysis/sdk/typescript/src/thread.ts:102: throw new Error(`Failed to parse item: ${item}`, { cause: error });\n/tmp/codex-analysis/codex-rs/execpolicy/src/parser.rs:45: /// Parses a policy, tagging parser errors with `policy_identifier` so failures include the\n/tmp/codex-analysis/codex-rs/execpolicy/tests/basic.rs:167: .expect_err(\"expected parse error\");\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:97: const json = JSON.parse(body);\n/tmp/codex-analysis/codex-rs/login/src/server.rs:231: eprintln!(\"URL parse error: {e}\");\n/tmp/codex-analysis/codex-rs/login/src/server.rs:551: id_token: parse_chatgpt_jwt_claims(&id_token).map_err(io::Error::other)?,\n/tmp/codex-analysis/codex-rs/app-server/src/codex_message_processor.rs:3480: Some(parse_cursor(cursor_str).ok_or_else(|| JSONRPCErrorError {\n/tmp/codex-analysis/codex-rs/app-server/src/transport.rs:82:pub enum AppServerTransportParseError {\n/tmp/codex-analysis/codex-rs/app-server/src/transport.rs:87:impl std::fmt::Display for AppServerTransportParseError {\n/tmp/codex-analysis/codex-rs/app-server/src/transport.rs:90: AppServerTransportParseError::UnsupportedListenUrl(listen_url) => write!(\n/tmp/codex-analysis/codex-rs/app-server/src/transport.rs:94: AppServerTransportParseError::InvalidWebSocketListenUrl(listen_url) => write!(\n/tmp/codex-analysis/codex-rs/app-server/src/transport.rs:102:impl std::error::Error for AppServerTransportParseError {}\n/tmp/codex-analysis/codex-rs/app-server/src/transport.rs:107: pub fn from_listen_url(listen_url: &str) -> Result<Self, AppServerTransportParseError> {\n/tmp/codex-analysis/codex-rs/app-server/src/transport.rs:114: AppServerTransportParseError::InvalidWebSocketListenUrl(listen_url.to_string())\n/tmp/codex-analysis/codex-rs/app-server/src/transport.rs:119: Err(AppServerTransportParseError::UnsupportedListenUrl(\n/tmp/codex-analysis/codex-rs/app-server/src/transport.rs:126: type Err = AppServerTransportParseError;\n/tmp/codex-analysis/codex-rs/cloud-requirements/src/lib.rs:761: async fn fetch_cloud_requirements_parse_error_does_not_retry() {\n/tmp/codex-analysis/codex-rs/execpolicy-legacy/src/main.rs:159: .map_err(|e| serde::de::Error::custom(format!(\"JSON parse error: {e}\")))?;\n/tmp/codex-analysis/codex-rs/otel/src/otlp.rs:96: \"failed to parse certificate {}: {error}\",\n/tmp/codex-analysis/codex-rs/otel/src/otlp.rs:112: \"failed to parse client identity using {} and {}: {error}\",\n/tmp/codex-analysis/codex-rs/otel/src/traces/otel_manager.rs:288: kind = Some(\"parse_error\".to_string());\n/tmp/codex-analysis/codex-rs/protocol/src/models.rs:137: // JSON, not as an already‑parsed object. We keep it as a raw string here and let\n/tmp/codex-analysis/codex-rs/protocol/src/models.rs:1554: let serialized = serde_json::to_value(&parsed)?;\n/tmp/codex-analysis/codex-rs/protocol/src/protocol.rs:2291: /// Captured stderr (parser errors, IO failures, etc.).\n/tmp/codex-analysis/codex-rs/windows-sandbox-rs/src/command_runner_win.rs:103: let req: RunnerRequest = serde_json::from_str(&input).context(\"parse runner request json\")?;\n/tmp/codex-analysis/codex-rs/windows-sandbox-rs/src/command_runner_win.rs:116: let policy = parse_policy(&req.policy_json_or_preset).context(\"parse policy_json_or_preset\")?;\n/tmp/codex-analysis/codex-rs/rmcp-client/src/bin/test_streamable_http_server.rs:243:fn parse_bind_addr() -> Result<SocketAddr, Box<dyn std::error::Error>> {\n/tmp/codex-analysis/codex-rs/protocol/src/thread_id.rs:80: let uuid = Uuid::parse_str(&value).map_err(serde::de::Error::custom)?;\n/tmp/codex-analysis/codex-rs/lmstudio/src/client.rs:106: io::Error::new(io::ErrorKind::InvalidData, format!(\"JSON parse error: {e}\"))\n/tmp/codex-analysis/codex-rs/app-server-test-client/src/lib.rs:769: let value: Value = serde_json::from_str(&raw_json).context(\"parse dynamic tools JSON\")?;\n/tmp/codex-analysis/codex-rs/app-server-test-client/src/lib.rs:1265: let pretty = serde_json::to_string_pretty(&parsed)?;\n/tmp/codex-analysis/codex-rs/app-server-test-client/src/lib.rs:1267: let message: JSONRPCMessage = serde_json::from_value(parsed)\n/tmp/codex-analysis/codex-rs/shell-command/src/bash.rs:430: fn rejects_trailing_operator_parse_error() {\n/tmp/codex-analysis/codex-rs/shell-command/src/command_safety/windows_safe_commands.rs:143: serde_json::from_slice::<PowershellParserOutput>(output.stdout.as_slice())\n/tmp/codex-analysis/codex-rs/state/src/model/thread_metadata.rs:49: pub parse_errors: usize,\n/tmp/codex-analysis/codex-rs/utils/cli/src/config_override.rs:143:fn parse_toml_value(raw: &str) -> Result<Value, toml::de::Error> {\n/tmp/codex-analysis/codex-rs/debug-client/src/commands.rs:18:pub enum ParseError {\n/tmp/codex-analysis/codex-rs/debug-client/src/commands.rs:24:impl ParseError {\n/tmp/codex-analysis/codex-rs/debug-client/src/commands.rs:36:pub fn parse_input(line: &str) -> Result<Option<InputAction>, ParseError> {\n/tmp/codex-analysis/codex-rs/debug-client/src/commands.rs:48: return Err(ParseError::EmptyCommand);\n/tmp/codex-analysis/codex-rs/debug-client/src/commands.rs:58: .ok_or(ParseError::MissingArgument { name: \"thread-id\" })?;\n/tmp/codex-analysis/codex-rs/debug-client/src/commands.rs:66: .ok_or(ParseError::MissingArgument { name: \"thread-id\" })?;\n/tmp/codex-analysis/codex-rs/debug-client/src/commands.rs:72: _ => Err(ParseError::UnknownCommand {\n/tmp/codex-analysis/codex-rs/debug-client/src/commands.rs:83: use super::ParseError;\n/tmp/codex-analysis/codex-rs/debug-client/src/commands.rs:144: Err(ParseError::MissingArgument { name: \"thread-id\" })\n/tmp/codex-analysis/codex-rs/debug-client/src/commands.rs:153: Err(ParseError::MissingArgument { name: \"thread-id\" })\n/tmp/codex-analysis/codex-rs/apply-patch/src/lib.rs:13:pub use parser::ParseError;\n/tmp/codex-analysis/codex-rs/apply-patch/src/lib.rs:14:use parser::ParseError::*;\n/tmp/codex-analysis/codex-rs/apply-patch/src/lib.rs:31: ParseError(#[from] ParseError),\n/tmp/codex-analysis/codex-rs/apply-patch/src/lib.rs:108: ShellParseError(ExtractHeredocError),\n/tmp/codex-analysis/codex-rs/apply-patch/src/lib.rs:197: return Err(ApplyPatchError::ParseError(e));\n/tmp/codex-analysis/codex-rs/apply-patch/src/parser.rs:50:pub enum ParseError {\n/tmp/codex-analysis/codex-rs/apply-patch/src/parser.rs:56:use ParseError::*;\n/tmp/codex-analysis/codex-rs/apply-patch/src/parser.rs:106:pub fn parse_patch(patch: &str) -> Result<ApplyPatchArgs, ParseError> {\n/tmp/codex-analysis/codex-rs/apply-patch/src/parser.rs:154:fn parse_patch_text(patch: &str, mode: ParseMode) -> Result<ApplyPatchArgs, ParseError> {\n/tmp/codex-analysis/codex-rs/apply-patch/src/parser.rs:187:fn check_patch_boundaries_strict(lines: &[&str]) -> Result<(), ParseError> {\n/tmp/codex-analysis/codex-rs/apply-patch/src/parser.rs:205: original_parse_error: ParseError,\n/tmp/codex-analysis/codex-rs/apply-patch/src/parser.rs:206:) -> Result<&'a [&'a str], ParseError> {\n/tmp/codex-analysis/codex-rs/apply-patch/src/parser.rs:219: Err(original_parse_error)\n/tmp/codex-analysis/codex-rs/apply-patch/src/parser.rs:222: _ => Err(original_parse_error),\n/tmp/codex-analysis/codex-rs/apply-patch/src/parser.rs:229:) -> Result<(), ParseError> {\n/tmp/codex-analysis/codex-rs/apply-patch/src/parser.rs:247:/// Returns the parsed hunk and the number of lines parsed (or a ParseError).\n/tmp/codex-analysis/codex-rs/apply-patch/src/parser.rs:248:fn parse_one_hunk(lines: &[&str], line_number: usize) -> Result<(Hunk, usize), ParseError> {\n/tmp/codex-analysis/codex-rs/apply-patch/src/parser.rs:347:) -> Result<(UpdateFileChunk, usize), ParseError> {\n/tmp/codex-analysis/codex-rs/tui/src/bottom_pane/prompt_args.rs:224: let inputs = parse_prompt_inputs(rest, &local_elements).map_err(|error| {\n/tmp/codex-analysis/codex-rs/apply-patch/src/invocation.rs:19:use crate::parser::ParseError;\n/tmp/codex-analysis/codex-rs/apply-patch/src/invocation.rs:37: ShellParseError(ExtractHeredocError),\n/tmp/codex-analysis/codex-rs/apply-patch/src/invocation.rs:38: PatchParseError(ParseError),\n/tmp/codex-analysis/codex-rs/apply-patch/src/invocation.rs:108: Err(e) => MaybeApplyPatch::PatchParseError(e),\n/tmp/codex-analysis/codex-rs/apply-patch/src/invocation.rs:118: Err(e) => MaybeApplyPatch::PatchParseError(e),\n/tmp/codex-analysis/codex-rs/apply-patch/src/invocation.rs:123: Err(e) => MaybeApplyPatch::ShellParseError(e),\n/tmp/codex-analysis/codex-rs/apply-patch/src/invocation.rs:213: MaybeApplyPatch::ShellParseError(e) => MaybeApplyPatchVerified::ShellParseError(e),\n/tmp/codex-analysis/codex-rs/apply-patch/src/invocation.rs:214: MaybeApplyPatch::PatchParseError(e) => MaybeApplyPatchVerified::CorrectnessError(e.into()),\n/tmp/codex-analysis/codex-rs/codex-api/src/endpoint/responses_websocket.rs:400:fn parse_wrapped_websocket_error_event(payload: &str) -> Option<WrappedWebsocketErrorEvent> {\n/tmp/codex-analysis/codex-rs/codex-api/src/endpoint/responses_websocket.rs:520: if let Some(wrapped_error) = parse_wrapped_websocket_error_event(&text)\n/tmp/codex-analysis/codex-rs/codex-api/src/endpoint/responses_websocket.rs:582: fn parse_wrapped_websocket_error_event_maps_to_transport_http() {\n/tmp/codex-analysis/codex-rs/codex-api/src/endpoint/responses_websocket.rs:599: let wrapped_error = parse_wrapped_websocket_error_event(&payload)\n/tmp/codex-analysis/codex-rs/codex-api/src/endpoint/responses_websocket.rs:634: fn parse_wrapped_websocket_error_event_ignores_non_error_payloads() {\n/tmp/codex-analysis/codex-rs/codex-api/src/endpoint/responses_websocket.rs:643: let wrapped_error = parse_wrapped_websocket_error_event(&payload);\n\n[Showing results with pagination = limit: 80, offset: 0]" | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": "toolu_018Bt4M1BoVX5nde6gWrkMdM", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "d20ebfcf-a85a-49a1-8ef3-1a6049b401d5" | |
| } | |
| [2026-02-14T10:48:55.816Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01Uj4qZk96AwcX5mM9DsgN78", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01AuJAwferXY47bJXqcWLH7N", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/opencode-analysis/packages/opencode/src/session/retry.ts" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 3666, | |
| "cache_read_input_tokens": 15721, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 3666 | |
| }, | |
| "output_tokens": 1, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": "toolu_013rKZ2CjV4QE9B4YXGGwYWk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "6be90479-fe9c-45f0-b980-2be4d6c481d8" | |
| } | |
| [2026-02-14T10:48:55.818Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01AuJAwferXY47bJXqcWLH7N", | |
| "type": "tool_result", | |
| "content": " 1→import type { NamedError } from \"@opencode-ai/util/error\"\n 2→import { MessageV2 } from \"./message-v2\"\n 3→import { iife } from \"@/util/iife\"\n 4→\n 5→export namespace SessionRetry {\n 6→ export const RETRY_INITIAL_DELAY = 2000\n 7→ export const RETRY_BACKOFF_FACTOR = 2\n 8→ export const RETRY_MAX_DELAY_NO_HEADERS = 30_000 // 30 seconds\n 9→ export const RETRY_MAX_DELAY = 2_147_483_647 // max 32-bit signed integer for setTimeout\n 10→\n 11→ export async function sleep(ms: number, signal: AbortSignal): Promise<void> {\n 12→ return new Promise((resolve, reject) => {\n 13→ const abortHandler = () => {\n 14→ clearTimeout(timeout)\n 15→ reject(new DOMException(\"Aborted\", \"AbortError\"))\n 16→ }\n 17→ const timeout = setTimeout(\n 18→ () => {\n 19→ signal.removeEventListener(\"abort\", abortHandler)\n 20→ resolve()\n 21→ },\n 22→ Math.min(ms, RETRY_MAX_DELAY),\n 23→ )\n 24→ signal.addEventListener(\"abort\", abortHandler, { once: true })\n 25→ })\n 26→ }\n 27→\n 28→ export function delay(attempt: number, error?: MessageV2.APIError) {\n 29→ if (error) {\n 30→ const headers = error.data.responseHeaders\n 31→ if (headers) {\n 32→ const retryAfterMs = headers[\"retry-after-ms\"]\n 33→ if (retryAfterMs) {\n 34→ const parsedMs = Number.parseFloat(retryAfterMs)\n 35→ if (!Number.isNaN(parsedMs)) {\n 36→ return parsedMs\n 37→ }\n 38→ }\n 39→\n 40→ const retryAfter = headers[\"retry-after\"]\n 41→ if (retryAfter) {\n 42→ const parsedSeconds = Number.parseFloat(retryAfter)\n 43→ if (!Number.isNaN(parsedSeconds)) {\n 44→ // convert seconds to milliseconds\n 45→ return Math.ceil(parsedSeconds * 1000)\n 46→ }\n 47→ // Try parsing as HTTP date format\n 48→ const parsed = Date.parse(retryAfter) - Date.now()\n 49→ if (!Number.isNaN(parsed) && parsed > 0) {\n 50→ return Math.ceil(parsed)\n 51→ }\n 52→ }\n 53→\n 54→ return RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1)\n 55→ }\n 56→ }\n 57→\n 58→ return Math.min(RETRY_INITIAL_DELAY * Math.pow(RETRY_BACKOFF_FACTOR, attempt - 1), RETRY_MAX_DELAY_NO_HEADERS)\n 59→ }\n 60→\n 61→ export function retryable(error: ReturnType<NamedError[\"toObject\"]>) {\n 62→ // context overflow errors should not be retried\n 63→ if (MessageV2.ContextOverflowError.isInstance(error)) return undefined\n 64→ if (MessageV2.APIError.isInstance(error)) {\n 65→ if (!error.data.isRetryable) return undefined\n 66→ if (error.data.responseBody?.includes(\"FreeUsageLimitError\"))\n 67→ return `Free usage exceeded, add credits https://opencode.ai/zen`\n 68→ return error.data.message.includes(\"Overloaded\") ? \"Provider is overloaded\" : error.data.message\n 69→ }\n 70→\n 71→ const json = iife(() => {\n 72→ try {\n 73→ if (typeof error.data?.message === \"string\") {\n 74→ const parsed = JSON.parse(error.data.message)\n 75→ return parsed\n 76→ }\n 77→\n 78→ return JSON.parse(error.data.message)\n 79→ } catch {\n 80→ return undefined\n 81→ }\n 82→ })\n 83→ try {\n 84→ if (!json || typeof json !== \"object\") return undefined\n 85→ const code = typeof json.code === \"string\" ? json.code : \"\"\n 86→\n 87→ if (json.type === \"error\" && json.error?.type === \"too_many_requests\") {\n 88→ return \"Too Many Requests\"\n 89→ }\n 90→ if (code.includes(\"exhausted\") || code.includes(\"unavailable\")) {\n 91→ return \"Provider is overloaded\"\n 92→ }\n 93→ if (json.type === \"error\" && json.error?.code?.includes(\"rate_limit\")) {\n 94→ return \"Rate Limited\"\n 95→ }\n 96→ return JSON.stringify(json)\n 97→ } catch {\n 98→ return undefined\n 99→ }\n 100→ }\n 101→}\n 102→\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_013rKZ2CjV4QE9B4YXGGwYWk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "42088ffa-2ffa-4ac6-90d0-ebeda311de6f" | |
| } | |
| [2026-02-14T10:48:55.835Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01BfRmFPb2rxtY6du8mt94iz", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01Mq3xtVvySNUkUaaxLoEYzz", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/gemini-cli-analysis/packages/core/src/utils/googleQuotaErrors.ts" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 319, | |
| "cache_read_input_tokens": 22322, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 319 | |
| }, | |
| "output_tokens": 3, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": "toolu_014bQU2RxPEtbzcNhJ1g1YCk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "d8bcb84c-3b34-4524-942a-510fa8256776" | |
| } | |
| [2026-02-14T10:48:55.838Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01Mq3xtVvySNUkUaaxLoEYzz", | |
| "type": "tool_result", | |
| "content": " 1→/**\n 2→ * @license\n 3→ * Copyright 2025 Google LLC\n 4→ * SPDX-License-Identifier: Apache-2.0\n 5→ */\n 6→\n 7→import type {\n 8→ ErrorInfo,\n 9→ GoogleApiError,\n 10→ Help,\n 11→ QuotaFailure,\n 12→ RetryInfo,\n 13→} from './googleErrors.js';\n 14→import { parseGoogleApiError } from './googleErrors.js';\n 15→import { getErrorStatus, ModelNotFoundError } from './httpErrors.js';\n 16→\n 17→/**\n 18→ * A non-retryable error indicating a hard quota limit has been reached (e.g., daily limit).\n 19→ */\n 20→export class TerminalQuotaError extends Error {\n 21→ retryDelayMs?: number;\n 22→\n 23→ constructor(\n 24→ message: string,\n 25→ override readonly cause: GoogleApiError,\n 26→ retryDelaySeconds?: number,\n 27→ ) {\n 28→ super(message);\n 29→ this.name = 'TerminalQuotaError';\n 30→ this.retryDelayMs = retryDelaySeconds\n 31→ ? retryDelaySeconds * 1000\n 32→ : undefined;\n 33→ }\n 34→}\n 35→\n 36→/**\n 37→ * A retryable error indicating a temporary quota issue (e.g., per-minute limit).\n 38→ */\n 39→export class RetryableQuotaError extends Error {\n 40→ retryDelayMs?: number;\n 41→\n 42→ constructor(\n 43→ message: string,\n 44→ override readonly cause: GoogleApiError,\n 45→ retryDelaySeconds?: number,\n 46→ ) {\n 47→ super(message);\n 48→ this.name = 'RetryableQuotaError';\n 49→ this.retryDelayMs = retryDelaySeconds\n 50→ ? retryDelaySeconds * 1000\n 51→ : undefined;\n 52→ }\n 53→}\n 54→\n 55→/**\n 56→ * An error indicating that user validation is required to continue.\n 57→ */\n 58→export class ValidationRequiredError extends Error {\n 59→ validationLink?: string;\n 60→ validationDescription?: string;\n 61→ learnMoreUrl?: string;\n 62→ userHandled: boolean = false;\n 63→\n 64→ constructor(\n 65→ message: string,\n 66→ override readonly cause?: GoogleApiError,\n 67→ validationLink?: string,\n 68→ validationDescription?: string,\n 69→ learnMoreUrl?: string,\n 70→ ) {\n 71→ super(message);\n 72→ this.name = 'ValidationRequiredError';\n 73→ this.validationLink = validationLink;\n 74→ this.validationDescription = validationDescription;\n 75→ this.learnMoreUrl = learnMoreUrl;\n 76→ }\n 77→}\n 78→\n 79→/**\n 80→ * Parses a duration string (e.g., \"34.074824224s\", \"60s\", \"900ms\") and returns the time in seconds.\n 81→ * @param duration The duration string to parse.\n 82→ * @returns The duration in seconds, or null if parsing fails.\n 83→ */\n 84→function parseDurationInSeconds(duration: string): number | null {\n 85→ if (duration.endsWith('ms')) {\n 86→ const milliseconds = parseFloat(duration.slice(0, -2));\n 87→ return isNaN(milliseconds) ? null : milliseconds / 1000;\n 88→ }\n 89→ if (duration.endsWith('s')) {\n 90→ const seconds = parseFloat(duration.slice(0, -1));\n 91→ return isNaN(seconds) ? null : seconds;\n 92→ }\n 93→ return null;\n 94→}\n 95→\n 96→/**\n 97→ * Valid Cloud Code API domains for VALIDATION_REQUIRED errors.\n 98→ */\n 99→const CLOUDCODE_DOMAINS = [\n 100→ 'cloudcode-pa.googleapis.com',\n 101→ 'staging-cloudcode-pa.googleapis.com',\n 102→ 'autopush-cloudcode-pa.googleapis.com',\n 103→];\n 104→\n 105→/**\n 106→ * Checks if a 403 error requires user validation and extracts validation details.\n 107→ *\n 108→ * @param googleApiError The parsed Google API error to check.\n 109→ * @returns A `ValidationRequiredError` if validation is required, otherwise `null`.\n 110→ */\n 111→function classifyValidationRequiredError(\n 112→ googleApiError: GoogleApiError,\n 113→): ValidationRequiredError | null {\n 114→ const errorInfo = googleApiError.details.find(\n 115→ (d): d is ErrorInfo =>\n 116→ d['@type'] === 'type.googleapis.com/google.rpc.ErrorInfo',\n 117→ );\n 118→\n 119→ if (!errorInfo) {\n 120→ return null;\n 121→ }\n 122→\n 123→ if (\n 124→ !CLOUDCODE_DOMAINS.includes(errorInfo.domain) ||\n 125→ errorInfo.reason !== 'VALIDATION_REQUIRED'\n 126→ ) {\n 127→ return null;\n 128→ }\n 129→\n 130→ // Try to extract validation info from Help detail first\n 131→ const helpDetail = googleApiError.details.find(\n 132→ (d): d is Help => d['@type'] === 'type.googleapis.com/google.rpc.Help',\n 133→ );\n 134→\n 135→ let validationLink: string | undefined;\n 136→ let validationDescription: string | undefined;\n 137→ let learnMoreUrl: string | undefined;\n 138→\n 139→ if (helpDetail?.links && helpDetail.links.length > 0) {\n 140→ // First link is the validation link, extract description and URL\n 141→ const validationLinkInfo = helpDetail.links[0];\n 142→ validationLink = validationLinkInfo.url;\n 143→ validationDescription = validationLinkInfo.description;\n 144→\n 145→ // Look for \"Learn more\" link - identified by description or support.google.com hostname\n 146→ const learnMoreLink = helpDetail.links.find((link) => {\n 147→ if (link.description.toLowerCase().trim() === 'learn more') return true;\n 148→ const parsed = URL.parse(link.url);\n 149→ return parsed?.hostname === 'support.google.com';\n 150→ });\n 151→ if (learnMoreLink) {\n 152→ learnMoreUrl = learnMoreLink.url;\n 153→ }\n 154→ }\n 155→\n 156→ // Fallback to ErrorInfo metadata if Help detail not found\n 157→ if (!validationLink) {\n 158→ validationLink = errorInfo.metadata?.['validation_link'];\n 159→ }\n 160→\n 161→ return new ValidationRequiredError(\n 162→ googleApiError.message,\n 163→ googleApiError,\n 164→ validationLink,\n 165→ validationDescription,\n 166→ learnMoreUrl,\n 167→ );\n 168→}\n 169→/**\n 170→ * Analyzes a caught error and classifies it as a specific error type if applicable.\n 171→ *\n 172→ * Classification logic:\n 173→ * - 404 errors are classified as `ModelNotFoundError`.\n 174→ * - 403 errors with `VALIDATION_REQUIRED` from cloudcode-pa domains are classified\n 175→ * as `ValidationRequiredError`.\n 176→ * - 429 errors are classified as either `TerminalQuotaError` or `RetryableQuotaError`:\n 177→ * - CloudCode API: `RATE_LIMIT_EXCEEDED` → `RetryableQuotaError`, `QUOTA_EXHAUSTED` → `TerminalQuotaError`.\n 178→ * - If the error indicates a daily limit (in QuotaFailure), it's a `TerminalQuotaError`.\n 179→ * - If the error has a retry delay, it's a `RetryableQuotaError`.\n 180→ * - If the error indicates a per-minute limit, it's a `RetryableQuotaError`.\n 181→ * - If the error message contains the phrase \"Please retry in X[s|ms]\", it's a `RetryableQuotaError`.\n 182→ *\n 183→ * @param error The error to classify.\n 184→ * @returns A classified error or the original `unknown` error.\n 185→ */\n 186→export function classifyGoogleError(error: unknown): unknown {\n 187→ const googleApiError = parseGoogleApiError(error);\n 188→ const status = googleApiError?.code ?? getErrorStatus(error);\n 189→\n 190→ if (status === 404) {\n 191→ const message =\n 192→ googleApiError?.message ||\n 193→ (error instanceof Error ? error.message : 'Model not found');\n 194→ return new ModelNotFoundError(message, status);\n 195→ }\n 196→\n 197→ // Check for 403 VALIDATION_REQUIRED errors from Cloud Code API\n 198→ if (status === 403 && googleApiError) {\n 199→ const validationError = classifyValidationRequiredError(googleApiError);\n 200→ if (validationError) {\n 201→ return validationError;\n 202→ }\n 203→ }\n 204→\n 205→ if (\n 206→ !googleApiError ||\n 207→ googleApiError.code !== 429 ||\n 208→ googleApiError.details.length === 0\n 209→ ) {\n 210→ // Fallback: try to parse the error message for a retry delay\n 211→ const errorMessage =\n 212→ googleApiError?.message ||\n 213→ (error instanceof Error ? error.message : String(error));\n 214→ const match = errorMessage.match(/Please retry in ([0-9.]+(?:ms|s))/);\n 215→ if (match?.[1]) {\n 216→ const retryDelaySeconds = parseDurationInSeconds(match[1]);\n 217→ if (retryDelaySeconds !== null) {\n 218→ return new RetryableQuotaError(\n 219→ errorMessage,\n 220→ googleApiError ?? {\n 221→ code: 429,\n 222→ message: errorMessage,\n 223→ details: [],\n 224→ },\n 225→ retryDelaySeconds,\n 226→ );\n 227→ }\n 228→ } else if (status === 429) {\n 229→ // Fallback: If it is a 429 but doesn't have a specific \"retry in\" message,\n 230→ // assume it is a temporary rate limit and retry after 5 sec (same as DEFAULT_RETRY_OPTIONS).\n 231→ return new RetryableQuotaError(\n 232→ errorMessage,\n 233→ googleApiError ?? {\n 234→ code: 429,\n 235→ message: errorMessage,\n 236→ details: [],\n 237→ },\n 238→ );\n 239→ }\n 240→\n 241→ return error; // Not a 429 error we can handle with structured details or a parsable retry message.\n 242→ }\n 243→\n 244→ const quotaFailure = googleApiError.details.find(\n 245→ (d): d is QuotaFailure =>\n 246→ d['@type'] === 'type.googleapis.com/google.rpc.QuotaFailure',\n 247→ );\n 248→\n 249→ const errorInfo = googleApiError.details.find(\n 250→ (d): d is ErrorInfo =>\n 251→ d['@type'] === 'type.googleapis.com/google.rpc.ErrorInfo',\n 252→ );\n 253→\n 254→ const retryInfo = googleApiError.details.find(\n 255→ (d): d is RetryInfo =>\n 256→ d['@type'] === 'type.googleapis.com/google.rpc.RetryInfo',\n 257→ );\n 258→\n 259→ // 1. Check for long-term limits in QuotaFailure or ErrorInfo\n 260→ if (quotaFailure) {\n 261→ for (const violation of quotaFailure.violations) {\n 262→ const quotaId = violation.quotaId ?? '';\n 263→ if (quotaId.includes('PerDay') || quotaId.includes('Daily')) {\n 264→ return new TerminalQuotaError(\n 265→ `You have exhausted your daily quota on this model.`,\n 266→ googleApiError,\n 267→ );\n 268→ }\n 269→ }\n 270→ }\n 271→ let delaySeconds;\n 272→\n 273→ if (retryInfo?.retryDelay) {\n 274→ const parsedDelay = parseDurationInSeconds(retryInfo.retryDelay);\n 275→ if (parsedDelay) {\n 276→ delaySeconds = parsedDelay;\n 277→ }\n 278→ }\n 279→\n 280→ if (errorInfo) {\n 281→ // New Cloud Code API quota handling\n 282→ if (errorInfo.domain) {\n 283→ const validDomains = [\n 284→ 'cloudcode-pa.googleapis.com',\n 285→ 'staging-cloudcode-pa.googleapis.com',\n 286→ 'autopush-cloudcode-pa.googleapis.com',\n 287→ ];\n 288→ if (validDomains.includes(errorInfo.domain)) {\n 289→ if (errorInfo.reason === 'RATE_LIMIT_EXCEEDED') {\n 290→ return new RetryableQuotaError(\n 291→ `${googleApiError.message}`,\n 292→ googleApiError,\n 293→ delaySeconds ?? 10,\n 294→ );\n 295→ }\n 296→ if (errorInfo.reason === 'QUOTA_EXHAUSTED') {\n 297→ return new TerminalQuotaError(\n 298→ `${googleApiError.message}`,\n 299→ googleApiError,\n 300→ delaySeconds,\n 301→ );\n 302→ }\n 303→ }\n 304→ }\n 305→ }\n 306→\n 307→ // 2. Check for delays in RetryInfo\n 308→ if (retryInfo?.retryDelay && delaySeconds) {\n 309→ return new RetryableQuotaError(\n 310→ `${googleApiError.message}\\nSuggested retry after ${retryInfo.retryDelay}.`,\n 311→ googleApiError,\n 312→ delaySeconds,\n 313→ );\n 314→ }\n 315→\n 316→ // 3. Check for short-term limits in QuotaFailure or ErrorInfo\n 317→ if (quotaFailure) {\n 318→ for (const violation of quotaFailure.violations) {\n 319→ const quotaId = violation.quotaId ?? '';\n 320→ if (quotaId.includes('PerMinute')) {\n 321→ return new RetryableQuotaError(\n 322→ `${googleApiError.message}\\nSuggested retry after 60s.`,\n 323→ googleApiError,\n 324→ 60,\n 325→ );\n 326→ }\n 327→ }\n 328→ }\n 329→\n 330→ if (errorInfo) {\n 331→ const quotaLimit = errorInfo.metadata?.['quota_limit'] ?? '';\n 332→ if (quotaLimit.includes('PerMinute')) {\n 333→ return new RetryableQuotaError(\n 334→ `${errorInfo.reason}\\nSuggested retry after 60s.`,\n 335→ googleApiError,\n 336→ 60,\n 337→ );\n 338→ }\n 339→ }\n 340→\n 341→ // If we reached this point and the status is still 429, we return retryable.\n 342→ if (status === 429) {\n 343→ const errorMessage =\n 344→ googleApiError?.message ||\n 345→ (error instanceof Error ? error.message : String(error));\n 346→ return new RetryableQuotaError(\n 347→ errorMessage,\n 348→ googleApiError ?? {\n 349→ code: 429,\n 350→ message: errorMessage,\n 351→ details: [],\n 352→ },\n 353→ );\n 354→ }\n 355→ return error; // Fallback to original error if no specific classification fits.\n 356→}\n 357→\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_014bQU2RxPEtbzcNhJ1g1YCk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "403f6177-90d4-4bd0-a91b-258c59a65a66" | |
| } | |
| [2026-02-14T10:48:56.044Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01Uj4qZk96AwcX5mM9DsgN78", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01DLARCiMh37c9vgSF2qvZvF", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/opencode-analysis/packages/opencode/src/session/llm.ts" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
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| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 3666, | |
| "cache_read_input_tokens": 15721, | |
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| }, | |
| "output_tokens": 1, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": "toolu_013rKZ2CjV4QE9B4YXGGwYWk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "6a165d5f-7f5a-42f6-8c5d-4c64a0ad59ba" | |
| } | |
| [2026-02-14T10:48:56.047Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01DLARCiMh37c9vgSF2qvZvF", | |
| "type": "tool_result", | |
| "content": " 1→import { Installation } from \"@/installation\"\n 2→import { Provider } from \"@/provider/provider\"\n 3→import { Log } from \"@/util/log\"\n 4→import {\n 5→ streamText,\n 6→ wrapLanguageModel,\n 7→ type ModelMessage,\n 8→ type StreamTextResult,\n 9→ type Tool,\n 10→ type ToolSet,\n 11→ tool,\n 12→ jsonSchema,\n 13→} from \"ai\"\n 14→import { clone, mergeDeep, pipe } from \"remeda\"\n 15→import { ProviderTransform } from \"@/provider/transform\"\n 16→import { Config } from \"@/config/config\"\n 17→import { Instance } from \"@/project/instance\"\n 18→import type { Agent } from \"@/agent/agent\"\n 19→import type { MessageV2 } from \"./message-v2\"\n 20→import { Plugin } from \"@/plugin\"\n 21→import { SystemPrompt } from \"./system\"\n 22→import { Flag } from \"@/flag/flag\"\n 23→import { PermissionNext } from \"@/permission/next\"\n 24→import { Auth } from \"@/auth\"\n 25→\n 26→export namespace LLM {\n 27→ const log = Log.create({ service: \"llm\" })\n 28→ export const OUTPUT_TOKEN_MAX = ProviderTransform.OUTPUT_TOKEN_MAX\n 29→\n 30→ export type StreamInput = {\n 31→ user: MessageV2.User\n 32→ sessionID: string\n 33→ model: Provider.Model\n 34→ agent: Agent.Info\n 35→ system: string[]\n 36→ abort: AbortSignal\n 37→ messages: ModelMessage[]\n 38→ small?: boolean\n 39→ tools: Record<string, Tool>\n 40→ retries?: number\n 41→ toolChoice?: \"auto\" | \"required\" | \"none\"\n 42→ }\n 43→\n 44→ export type StreamOutput = StreamTextResult<ToolSet, unknown>\n 45→\n 46→ export async function stream(input: StreamInput) {\n 47→ const l = log\n 48→ .clone()\n 49→ .tag(\"providerID\", input.model.providerID)\n 50→ .tag(\"modelID\", input.model.id)\n 51→ .tag(\"sessionID\", input.sessionID)\n 52→ .tag(\"small\", (input.small ?? false).toString())\n 53→ .tag(\"agent\", input.agent.name)\n 54→ .tag(\"mode\", input.agent.mode)\n 55→ l.info(\"stream\", {\n 56→ modelID: input.model.id,\n 57→ providerID: input.model.providerID,\n 58→ })\n 59→ const [language, cfg, provider, auth] = await Promise.all([\n 60→ Provider.getLanguage(input.model),\n 61→ Config.get(),\n 62→ Provider.getProvider(input.model.providerID),\n 63→ Auth.get(input.model.providerID),\n 64→ ])\n 65→ const isCodex = provider.id === \"openai\" && auth?.type === \"oauth\"\n 66→\n 67→ const system = []\n 68→ system.push(\n 69→ [\n 70→ // use agent prompt otherwise provider prompt\n 71→ // For Codex sessions, skip SystemPrompt.provider() since it's sent via options.instructions\n 72→ ...(input.agent.prompt ? [input.agent.prompt] : isCodex ? [] : SystemPrompt.provider(input.model)),\n 73→ // any custom prompt passed into this call\n 74→ ...input.system,\n 75→ // any custom prompt from last user message\n 76→ ...(input.user.system ? [input.user.system] : []),\n 77→ ]\n 78→ .filter((x) => x)\n 79→ .join(\"\\n\"),\n 80→ )\n 81→\n 82→ const header = system[0]\n 83→ const original = clone(system)\n 84→ await Plugin.trigger(\n 85→ \"experimental.chat.system.transform\",\n 86→ { sessionID: input.sessionID, model: input.model },\n 87→ { system },\n 88→ )\n 89→ if (system.length === 0) {\n 90→ system.push(...original)\n 91→ }\n 92→ // rejoin to maintain 2-part structure for caching if header unchanged\n 93→ if (system.length > 2 && system[0] === header) {\n 94→ const rest = system.slice(1)\n 95→ system.length = 0\n 96→ system.push(header, rest.join(\"\\n\"))\n 97→ }\n 98→\n 99→ const variant =\n 100→ !input.small && input.model.variants && input.user.variant ? input.model.variants[input.user.variant] : {}\n 101→ const base = input.small\n 102→ ? ProviderTransform.smallOptions(input.model)\n 103→ : ProviderTransform.options({\n 104→ model: input.model,\n 105→ sessionID: input.sessionID,\n 106→ providerOptions: provider.options,\n 107→ })\n 108→ const options: Record<string, any> = pipe(\n 109→ base,\n 110→ mergeDeep(input.model.options),\n 111→ mergeDeep(input.agent.options),\n 112→ mergeDeep(variant),\n 113→ )\n 114→ if (isCodex) {\n 115→ options.instructions = SystemPrompt.instructions()\n 116→ }\n 117→\n 118→ const params = await Plugin.trigger(\n 119→ \"chat.params\",\n 120→ {\n 121→ sessionID: input.sessionID,\n 122→ agent: input.agent,\n 123→ model: input.model,\n 124→ provider,\n 125→ message: input.user,\n 126→ },\n 127→ {\n 128→ temperature: input.model.capabilities.temperature\n 129→ ? (input.agent.temperature ?? ProviderTransform.temperature(input.model))\n 130→ : undefined,\n 131→ topP: input.agent.topP ?? ProviderTransform.topP(input.model),\n 132→ topK: ProviderTransform.topK(input.model),\n 133→ options,\n 134→ },\n 135→ )\n 136→\n 137→ const { headers } = await Plugin.trigger(\n 138→ \"chat.headers\",\n 139→ {\n 140→ sessionID: input.sessionID,\n 141→ agent: input.agent,\n 142→ model: input.model,\n 143→ provider,\n 144→ message: input.user,\n 145→ },\n 146→ {\n 147→ headers: {},\n 148→ },\n 149→ )\n 150→\n 151→ const maxOutputTokens =\n 152→ isCodex || provider.id.includes(\"github-copilot\") ? undefined : ProviderTransform.maxOutputTokens(input.model)\n 153→\n 154→ const tools = await resolveTools(input)\n 155→\n 156→ // LiteLLM and some Anthropic proxies require the tools parameter to be present\n 157→ // when message history contains tool calls, even if no tools are being used.\n 158→ // Add a dummy tool that is never called to satisfy this validation.\n 159→ // This is enabled for:\n 160→ // 1. Providers with \"litellm\" in their ID or API ID (auto-detected)\n 161→ // 2. Providers with explicit \"litellmProxy: true\" option (opt-in for custom gateways)\n 162→ const isLiteLLMProxy =\n 163→ provider.options?.[\"litellmProxy\"] === true ||\n 164→ input.model.providerID.toLowerCase().includes(\"litellm\") ||\n 165→ input.model.api.id.toLowerCase().includes(\"litellm\")\n 166→\n 167→ if (isLiteLLMProxy && Object.keys(tools).length === 0 && hasToolCalls(input.messages)) {\n 168→ tools[\"_noop\"] = tool({\n 169→ description:\n 170→ \"Placeholder for LiteLLM/Anthropic proxy compatibility - required when message history contains tool calls but no active tools are needed\",\n 171→ inputSchema: jsonSchema({ type: \"object\", properties: {} }),\n 172→ execute: async () => ({ output: \"\", title: \"\", metadata: {} }),\n 173→ })\n 174→ }\n 175→\n 176→ return streamText({\n 177→ onError(error) {\n 178→ l.error(\"stream error\", {\n 179→ error,\n 180→ })\n 181→ },\n 182→ async experimental_repairToolCall(failed) {\n 183→ const lower = failed.toolCall.toolName.toLowerCase()\n 184→ if (lower !== failed.toolCall.toolName && tools[lower]) {\n 185→ l.info(\"repairing tool call\", {\n 186→ tool: failed.toolCall.toolName,\n 187→ repaired: lower,\n 188→ })\n 189→ return {\n 190→ ...failed.toolCall,\n 191→ toolName: lower,\n 192→ }\n 193→ }\n 194→ return {\n 195→ ...failed.toolCall,\n 196→ input: JSON.stringify({\n 197→ tool: failed.toolCall.toolName,\n 198→ error: failed.error.message,\n 199→ }),\n 200→ toolName: \"invalid\",\n 201→ }\n 202→ },\n 203→ temperature: params.temperature,\n 204→ topP: params.topP,\n 205→ topK: params.topK,\n 206→ providerOptions: ProviderTransform.providerOptions(input.model, params.options),\n 207→ activeTools: Object.keys(tools).filter((x) => x !== \"invalid\"),\n 208→ tools,\n 209→ toolChoice: input.toolChoice,\n 210→ maxOutputTokens,\n 211→ abortSignal: input.abort,\n 212→ headers: {\n 213→ ...(input.model.providerID.startsWith(\"opencode\")\n 214→ ? {\n 215→ \"x-opencode-project\": Instance.project.id,\n 216→ \"x-opencode-session\": input.sessionID,\n 217→ \"x-opencode-request\": input.user.id,\n 218→ \"x-opencode-client\": Flag.OPENCODE_CLIENT,\n 219→ }\n 220→ : input.model.providerID !== \"anthropic\"\n 221→ ? {\n 222→ \"User-Agent\": `opencode/${Installation.VERSION}`,\n 223→ }\n 224→ : undefined),\n 225→ ...input.model.headers,\n 226→ ...headers,\n 227→ },\n 228→ maxRetries: input.retries ?? 0,\n 229→ messages: [\n 230→ ...system.map(\n 231→ (x): ModelMessage => ({\n 232→ role: \"system\",\n 233→ content: x,\n 234→ }),\n 235→ ),\n 236→ ...input.messages,\n 237→ ],\n 238→ model: wrapLanguageModel({\n 239→ model: language,\n 240→ middleware: [\n 241→ {\n 242→ async transformParams(args) {\n 243→ if (args.type === \"stream\") {\n 244→ // @ts-expect-error\n 245→ args.params.prompt = ProviderTransform.message(args.params.prompt, input.model, options)\n 246→ }\n 247→ return args.params\n 248→ },\n 249→ },\n 250→ ],\n 251→ }),\n 252→ experimental_telemetry: {\n 253→ isEnabled: cfg.experimental?.openTelemetry,\n 254→ metadata: {\n 255→ userId: cfg.username ?? \"unknown\",\n 256→ sessionId: input.sessionID,\n 257→ },\n 258→ },\n 259→ })\n 260→ }\n 261→\n 262→ async function resolveTools(input: Pick<StreamInput, \"tools\" | \"agent\" | \"user\">) {\n 263→ const disabled = PermissionNext.disabled(Object.keys(input.tools), input.agent.permission)\n 264→ for (const tool of Object.keys(input.tools)) {\n 265→ if (input.user.tools?.[tool] === false || disabled.has(tool)) {\n 266→ delete input.tools[tool]\n 267→ }\n 268→ }\n 269→ return input.tools\n 270→ }\n 271→\n 272→ // Check if messages contain any tool-call content\n 273→ // Used to determine if a dummy tool should be added for LiteLLM proxy compatibility\n 274→ export function hasToolCalls(messages: ModelMessage[]): boolean {\n 275→ for (const msg of messages) {\n 276→ if (!Array.isArray(msg.content)) continue\n 277→ for (const part of msg.content) {\n 278→ if (part.type === \"tool-call\" || part.type === \"tool-result\") return true\n 279→ }\n 280→ }\n 281→ return false\n 282→ }\n 283→}\n 284→\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_013rKZ2CjV4QE9B4YXGGwYWk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "bcd04f7f-ad03-4db7-99b8-de1019bdbfb7" | |
| } | |
| [2026-02-14T10:48:56.154Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-haiku-4-5-20251001", | |
| "id": "msg_013A6Gd5s7BFbrHRJkgUH4du", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01XhqEh4maVLrFvzY5szGArN", | |
| "name": "Bash", | |
| "input": { | |
| "command": "grep -n \"opencode\\|OPENCODE\" /tmp/gh-issue-solver-1771066033892/js/src/provider/models.ts | head -30", | |
| "description": "Search for OpenCode provider definition" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
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| }, | |
| "output_tokens": 1, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": "toolu_01FcLcU7YYcVMSauAk9bBBY1", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "81d5197f-b4c4-4e67-9c35-3e1c5986c7da" | |
| } | |
| [2026-02-14T10:48:56.227Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01BfRmFPb2rxtY6du8mt94iz", | |
| "type": "message", | |
| "role": "assistant", | |
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| { | |
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| "id": "toolu_01XtoG3McVGTRhqAyUZK7dXf", | |
| "name": "Read", | |
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| "file_path": "/tmp/gemini-cli-analysis/packages/core/src/utils/errors.ts" | |
| }, | |
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| "type": "direct" | |
| } | |
| } | |
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| "content": " 1→/**\n 2→ * @license\n 3→ * Copyright 2025 Google LLC\n 4→ * SPDX-License-Identifier: Apache-2.0\n 5→ */\n 6→\n 7→interface GaxiosError {\n 8→ response?: {\n 9→ data?: unknown;\n 10→ };\n 11→}\n 12→\n 13→export function isNodeError(error: unknown): error is NodeJS.ErrnoException {\n 14→ return error instanceof Error && 'code' in error;\n 15→}\n 16→\n 17→export function getErrorMessage(error: unknown): string {\n 18→ const friendlyError = toFriendlyError(error);\n 19→ if (friendlyError instanceof Error) {\n 20→ return friendlyError.message;\n 21→ }\n 22→ try {\n 23→ return String(friendlyError);\n 24→ } catch {\n 25→ return 'Failed to get error details';\n 26→ }\n 27→}\n 28→\n 29→export class FatalError extends Error {\n 30→ constructor(\n 31→ message: string,\n 32→ readonly exitCode: number,\n 33→ ) {\n 34→ super(message);\n 35→ }\n 36→}\n 37→\n 38→export class FatalAuthenticationError extends FatalError {\n 39→ constructor(message: string) {\n 40→ super(message, 41);\n 41→ }\n 42→}\n 43→export class FatalInputError extends FatalError {\n 44→ constructor(message: string) {\n 45→ super(message, 42);\n 46→ }\n 47→}\n 48→export class FatalSandboxError extends FatalError {\n 49→ constructor(message: string) {\n 50→ super(message, 44);\n 51→ }\n 52→}\n 53→export class FatalConfigError extends FatalError {\n 54→ constructor(message: string) {\n 55→ super(message, 52);\n 56→ }\n 57→}\n 58→export class FatalTurnLimitedError extends FatalError {\n 59→ constructor(message: string) {\n 60→ super(message, 53);\n 61→ }\n 62→}\n 63→export class FatalToolExecutionError extends FatalError {\n 64→ constructor(message: string) {\n 65→ super(message, 54);\n 66→ }\n 67→}\n 68→export class FatalCancellationError extends FatalError {\n 69→ constructor(message: string) {\n 70→ super(message, 130); // Standard exit code for SIGINT\n 71→ }\n 72→}\n 73→\n 74→export class CanceledError extends Error {\n 75→ constructor(message = 'The operation was canceled.') {\n 76→ super(message);\n 77→ this.name = 'CanceledError';\n 78→ }\n 79→}\n 80→\n 81→export class ForbiddenError extends Error {}\n 82→export class UnauthorizedError extends Error {}\n 83→export class BadRequestError extends Error {}\n 84→\n 85→export class ChangeAuthRequestedError extends Error {\n 86→ constructor() {\n 87→ super('User requested to change authentication method');\n 88→ this.name = 'ChangeAuthRequestedError';\n 89→ }\n 90→}\n 91→\n 92→interface ResponseData {\n 93→ error?: {\n 94→ code?: number;\n 95→ message?: string;\n 96→ };\n 97→}\n 98→\n 99→export function toFriendlyError(error: unknown): unknown {\n 100→ if (error && typeof error === 'object' && 'response' in error) {\n 101→ // eslint-disable-next-line @typescript-eslint/no-unsafe-type-assertion\n 102→ const gaxiosError = error as GaxiosError;\n 103→ const data = parseResponseData(gaxiosError);\n 104→ if (data && data.error && data.error.message && data.error.code) {\n 105→ switch (data.error.code) {\n 106→ case 400:\n 107→ return new BadRequestError(data.error.message);\n 108→ case 401:\n 109→ return new UnauthorizedError(data.error.message);\n 110→ case 403:\n 111→ // It's import to pass the message here since it might\n 112→ // explain the cause like \"the cloud project you're\n 113→ // using doesn't have code assist enabled\".\n 114→ return new ForbiddenError(data.error.message);\n 115→ default:\n 116→ }\n 117→ }\n 118→ }\n 119→ return error;\n 120→}\n 121→\n 122→function parseResponseData(error: GaxiosError): ResponseData | undefined {\n 123→ // Inexplicably, Gaxios sometimes doesn't JSONify the response data.\n 124→ if (typeof error.response?.data === 'string') {\n 125→ try {\n 126→ // eslint-disable-next-line @typescript-eslint/no-unsafe-type-assertion\n 127→ return JSON.parse(error.response?.data) as ResponseData;\n 128→ } catch {\n 129→ return undefined;\n 130→ }\n 131→ }\n 132→ // eslint-disable-next-line @typescript-eslint/no-unsafe-type-assertion\n 133→ return error.response?.data as ResponseData | undefined;\n 134→}\n 135→\n 136→/**\n 137→ * Checks if an error is a 401 authentication error.\n 138→ * Uses structured error properties from MCP SDK errors.\n 139→ *\n 140→ * @param error The error to check\n 141→ * @returns true if this is a 401/authentication error\n 142→ */\n 143→export function isAuthenticationError(error: unknown): boolean {\n 144→ // Check for MCP SDK errors with code property\n 145→ // (SseError and StreamableHTTPError both have numeric 'code' property)\n 146→ if (error && typeof error === 'object' && 'code' in error) {\n 147→ const errorCode = (error as { code: unknown }).code;\n 148→ if (errorCode === 401) {\n 149→ return true;\n 150→ }\n 151→ }\n 152→\n 153→ // Check for UnauthorizedError class (from MCP SDK or our own)\n 154→ if (\n 155→ error instanceof Error &&\n 156→ error.constructor.name === 'UnauthorizedError'\n 157→ ) {\n 158→ return true;\n 159→ }\n 160→\n 161→ if (error instanceof UnauthorizedError) {\n 162→ return true;\n 163→ }\n 164→\n 165→ // Fallback: Check for MCP SDK's plain Error messages with HTTP 401\n 166→ // The SDK sometimes throws: new Error(`Error POSTing to endpoint (HTTP 401): ...`)\n 167→ const message = getErrorMessage(error);\n 168→ if (message.includes('401')) {\n 169→ return true;\n 170→ }\n 171→\n 172→ return false;\n 173→}\n 174→\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 { 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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| "path": "/tmp/codex-analysis", | |
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| [2026-02-14T10:48:56.697Z] [INFO] { | |
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| "content": " 1→/**\n 2→ * @license\n 3→ * Copyright 2025 Google LLC\n 4→ * SPDX-License-Identifier: Apache-2.0\n 5→ */\n 6→\n 7→import { isApiError, isStructuredError } from './quotaErrorDetection.js';\n 8→import { DEFAULT_GEMINI_FLASH_MODEL } from '../config/models.js';\n 9→import type { UserTierId } from '../code_assist/types.js';\n 10→import { AuthType } from '../core/contentGenerator.js';\n 11→\n 12→const RATE_LIMIT_ERROR_MESSAGE_USE_GEMINI =\n 13→ '\\nPlease wait and try again later. To increase your limits, request a quota increase through AI Studio, or switch to another /auth method';\n 14→const RATE_LIMIT_ERROR_MESSAGE_VERTEX =\n 15→ '\\nPlease wait and try again later. To increase your limits, request a quota increase through Vertex, or switch to another /auth method';\n 16→const getRateLimitErrorMessageDefault = (\n 17→ fallbackModel: string = DEFAULT_GEMINI_FLASH_MODEL,\n 18→) =>\n 19→ `\\nPossible quota limitations in place or slow response times detected. Switching to the ${fallbackModel} model for the rest of this session.`;\n 20→\n 21→function getRateLimitMessage(\n 22→ authType?: AuthType,\n 23→ fallbackModel?: string,\n 24→): string {\n 25→ switch (authType) {\n 26→ case AuthType.USE_GEMINI:\n 27→ return RATE_LIMIT_ERROR_MESSAGE_USE_GEMINI;\n 28→ case AuthType.USE_VERTEX_AI:\n 29→ return RATE_LIMIT_ERROR_MESSAGE_VERTEX;\n 30→ default:\n 31→ return getRateLimitErrorMessageDefault(fallbackModel);\n 32→ }\n 33→}\n 34→\n 35→export function parseAndFormatApiError(\n 36→ error: unknown,\n 37→ authType?: AuthType,\n 38→ userTier?: UserTierId,\n 39→ currentModel?: string,\n 40→ fallbackModel?: string,\n 41→): string {\n 42→ if (isStructuredError(error)) {\n 43→ let text = `[API Error: ${error.message}]`;\n 44→ if (error.status === 429) {\n 45→ text += getRateLimitMessage(authType, fallbackModel);\n 46→ }\n 47→ return text;\n 48→ }\n 49→\n 50→ // The error message might be a string containing a JSON object.\n 51→ if (typeof error === 'string') {\n 52→ const jsonStart = error.indexOf('{');\n 53→ if (jsonStart === -1) {\n 54→ return `[API Error: ${error}]`; // Not a JSON error, return as is.\n 55→ }\n 56→\n 57→ const jsonString = error.substring(jsonStart);\n 58→\n 59→ try {\n 60→ const parsedError = JSON.parse(jsonString) as unknown;\n 61→ if (isApiError(parsedError)) {\n 62→ let finalMessage = parsedError.error.message;\n 63→ try {\n 64→ // See if the message is a stringified JSON with another error\n 65→ const nestedError = JSON.parse(finalMessage) as unknown;\n 66→ if (isApiError(nestedError)) {\n 67→ finalMessage = nestedError.error.message;\n 68→ }\n 69→ } catch (_e) {\n 70→ // It's not a nested JSON error, so we just use the message as is.\n 71→ }\n 72→ let text = `[API Error: ${finalMessage} (Status: ${parsedError.error.status})]`;\n 73→ if (parsedError.error.code === 429) {\n 74→ text += getRateLimitMessage(authType, fallbackModel);\n 75→ }\n 76→ return text;\n 77→ }\n 78→ } catch (_e) {\n 79→ // Not a valid JSON, fall through and return the original message.\n 80→ }\n 81→ return `[API Error: ${error}]`;\n 82→ }\n 83→\n 84→ return '[API Error: An unknown error occurred.]';\n 85→}\n 86→\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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| } | |
| [2026-02-14T10:48:56.981Z] [INFO] { | |
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| { | |
| "tool_use_id": "toolu_018YXerqxST1n2WwrRnP67oC", | |
| "type": "tool_result", | |
| "content": " 1→import { BusEvent } from \"@/bus/bus-event\"\n 2→import z from \"zod\"\n 3→import { NamedError } from \"@opencode-ai/util/error\"\n 4→import { APICallError, convertToModelMessages, LoadAPIKeyError, type ModelMessage, type UIMessage } from \"ai\"\n 5→import { Identifier } from \"../id/id\"\n 6→import { LSP } from \"../lsp\"\n 7→import { Snapshot } from \"@/snapshot\"\n 8→import { fn } from \"@/util/fn\"\n 9→import { Database, eq, desc, inArray } from \"@/storage/db\"\n 10→import { MessageTable, PartTable } from \"./session.sql\"\n 11→import { ProviderTransform } from \"@/provider/transform\"\n 12→import { STATUS_CODES } from \"http\"\n 13→import { Storage } from \"@/storage/storage\"\n 14→import { ProviderError } from \"@/provider/error\"\n 15→import { iife } from \"@/util/iife\"\n 16→import { type SystemError } from \"bun\"\n 17→import type { Provider } from \"@/provider/provider\"\n 18→\n 19→export namespace MessageV2 {\n 20→ export const OutputLengthError = NamedError.create(\"MessageOutputLengthError\", z.object({}))\n 21→ export const AbortedError = NamedError.create(\"MessageAbortedError\", z.object({ message: z.string() }))\n 22→ export const StructuredOutputError = NamedError.create(\n 23→ \"StructuredOutputError\",\n 24→ z.object({\n 25→ message: z.string(),\n 26→ retries: z.number(),\n 27→ }),\n 28→ )\n 29→ export const AuthError = NamedError.create(\n 30→ \"ProviderAuthError\",\n 31→ z.object({\n 32→ providerID: z.string(),\n 33→ message: z.string(),\n 34→ }),\n 35→ )\n 36→ export const APIError = NamedError.create(\n 37→ \"APIError\",\n 38→ z.object({\n 39→ message: z.string(),\n 40→ statusCode: z.number().optional(),\n 41→ isRetryable: z.boolean(),\n 42→ responseHeaders: z.record(z.string(), z.string()).optional(),\n 43→ responseBody: z.string().optional(),\n 44→ metadata: z.record(z.string(), z.string()).optional(),\n 45→ }),\n 46→ )\n 47→ export type APIError = z.infer<typeof APIError.Schema>\n 48→ export const ContextOverflowError = NamedError.create(\n 49→ \"ContextOverflowError\",\n 50→ z.object({ message: z.string(), responseBody: z.string().optional() }),\n 51→ )\n 52→\n 53→ export const OutputFormatText = z\n 54→ .object({\n 55→ type: z.literal(\"text\"),\n 56→ })\n 57→ .meta({\n 58→ ref: \"OutputFormatText\",\n 59→ })\n 60→\n 61→ export const OutputFormatJsonSchema = z\n 62→ .object({\n 63→ type: z.literal(\"json_schema\"),\n 64→ schema: z.record(z.string(), z.any()).meta({ ref: \"JSONSchema\" }),\n 65→ retryCount: z.number().int().min(0).default(2),\n 66→ })\n 67→ .meta({\n 68→ ref: \"OutputFormatJsonSchema\",\n 69→ })\n 70→\n 71→ export const Format = z.discriminatedUnion(\"type\", [OutputFormatText, OutputFormatJsonSchema]).meta({\n 72→ ref: \"OutputFormat\",\n 73→ })\n 74→ export type OutputFormat = z.infer<typeof Format>\n 75→\n 76→ const PartBase = z.object({\n 77→ id: z.string(),\n 78→ sessionID: z.string(),\n 79→ messageID: z.string(),\n 80→ })\n 81→\n 82→ export const SnapshotPart = PartBase.extend({\n 83→ type: z.literal(\"snapshot\"),\n 84→ snapshot: z.string(),\n 85→ }).meta({\n 86→ ref: \"SnapshotPart\",\n 87→ })\n 88→ export type SnapshotPart = z.infer<typeof SnapshotPart>\n 89→\n 90→ export const PatchPart = PartBase.extend({\n 91→ type: z.literal(\"patch\"),\n 92→ hash: z.string(),\n 93→ files: z.string().array(),\n 94→ }).meta({\n 95→ ref: \"PatchPart\",\n 96→ })\n 97→ export type PatchPart = z.infer<typeof PatchPart>\n 98→\n 99→ export const TextPart = PartBase.extend({\n 100→ type: z.literal(\"text\"),\n 101→ text: z.string(),\n 102→ synthetic: z.boolean().optional(),\n 103→ ignored: z.boolean().optional(),\n 104→ time: z\n 105→ .object({\n 106→ start: z.number(),\n 107→ end: z.number().optional(),\n 108→ })\n 109→ .optional(),\n 110→ metadata: z.record(z.string(), z.any()).optional(),\n 111→ }).meta({\n 112→ ref: \"TextPart\",\n 113→ })\n 114→ export type TextPart = z.infer<typeof TextPart>\n 115→\n 116→ export const ReasoningPart = PartBase.extend({\n 117→ type: z.literal(\"reasoning\"),\n 118→ text: z.string(),\n 119→ metadata: z.record(z.string(), z.any()).optional(),\n 120→ time: z.object({\n 121→ start: z.number(),\n 122→ end: z.number().optional(),\n 123→ }),\n 124→ }).meta({\n 125→ ref: \"ReasoningPart\",\n 126→ })\n 127→ export type ReasoningPart = z.infer<typeof ReasoningPart>\n 128→\n 129→ const FilePartSourceBase = z.object({\n 130→ text: z\n 131→ .object({\n 132→ value: z.string(),\n 133→ start: z.number().int(),\n 134→ end: z.number().int(),\n 135→ })\n 136→ .meta({\n 137→ ref: \"FilePartSourceText\",\n 138→ }),\n 139→ })\n 140→\n 141→ export const FileSource = FilePartSourceBase.extend({\n 142→ type: z.literal(\"file\"),\n 143→ path: z.string(),\n 144→ }).meta({\n 145→ ref: \"FileSource\",\n 146→ })\n 147→\n 148→ export const SymbolSource = FilePartSourceBase.extend({\n 149→ type: z.literal(\"symbol\"),\n 150→ path: z.string(),\n 151→ range: LSP.Range,\n 152→ name: z.string(),\n 153→ kind: z.number().int(),\n 154→ }).meta({\n 155→ ref: \"SymbolSource\",\n 156→ })\n 157→\n 158→ export const ResourceSource = FilePartSourceBase.extend({\n 159→ type: z.literal(\"resource\"),\n 160→ clientName: z.string(),\n 161→ uri: z.string(),\n 162→ }).meta({\n 163→ ref: \"ResourceSource\",\n 164→ })\n 165→\n 166→ export const FilePartSource = z.discriminatedUnion(\"type\", [FileSource, SymbolSource, ResourceSource]).meta({\n 167→ ref: \"FilePartSource\",\n 168→ })\n 169→\n 170→ export const FilePart = PartBase.extend({\n 171→ type: z.literal(\"file\"),\n 172→ mime: z.string(),\n 173→ filename: z.string().optional(),\n 174→ url: z.string(),\n 175→ source: FilePartSource.optional(),\n 176→ }).meta({\n 177→ ref: \"FilePart\",\n 178→ })\n 179→ export type FilePart = z.infer<typeof FilePart>\n 180→\n 181→ export const AgentPart = PartBase.extend({\n 182→ type: z.literal(\"agent\"),\n 183→ name: z.string(),\n 184→ source: z\n 185→ .object({\n 186→ value: z.string(),\n 187→ start: z.number().int(),\n 188→ end: z.number().int(),\n 189→ })\n 190→ .optional(),\n 191→ }).meta({\n 192→ ref: \"AgentPart\",\n 193→ })\n 194→ export type AgentPart = z.infer<typeof AgentPart>\n 195→\n 196→ export const CompactionPart = PartBase.extend({\n 197→ type: z.literal(\"compaction\"),\n 198→ auto: z.boolean(),\n 199→ }).meta({\n 200→ ref: \"CompactionPart\",\n 201→ })\n 202→ export type CompactionPart = z.infer<typeof CompactionPart>\n 203→\n 204→ export const SubtaskPart = PartBase.extend({\n 205→ type: z.literal(\"subtask\"),\n 206→ prompt: z.string(),\n 207→ description: z.string(),\n 208→ agent: z.string(),\n 209→ model: z\n 210→ .object({\n 211→ providerID: z.string(),\n 212→ modelID: z.string(),\n 213→ })\n 214→ .optional(),\n 215→ command: z.string().optional(),\n 216→ }).meta({\n 217→ ref: \"SubtaskPart\",\n 218→ })\n 219→ export type SubtaskPart = z.infer<typeof SubtaskPart>\n 220→\n 221→ export const RetryPart = PartBase.extend({\n 222→ type: z.literal(\"retry\"),\n 223→ attempt: z.number(),\n 224→ error: APIError.Schema,\n 225→ time: z.object({\n 226→ created: z.number(),\n 227→ }),\n 228→ }).meta({\n 229→ ref: \"RetryPart\",\n 230→ })\n 231→ export type RetryPart = z.infer<typeof RetryPart>\n 232→\n 233→ export const StepStartPart = PartBase.extend({\n 234→ type: z.literal(\"step-start\"),\n 235→ snapshot: z.string().optional(),\n 236→ }).meta({\n 237→ ref: \"StepStartPart\",\n 238→ })\n 239→ export type StepStartPart = z.infer<typeof StepStartPart>\n 240→\n 241→ export const StepFinishPart = PartBase.extend({\n 242→ type: z.literal(\"step-finish\"),\n 243→ reason: z.string(),\n 244→ snapshot: z.string().optional(),\n 245→ cost: z.number(),\n 246→ tokens: z.object({\n 247→ total: z.number().optional(),\n 248→ input: z.number(),\n 249→ output: z.number(),\n 250→ reasoning: z.number(),\n 251→ cache: z.object({\n 252→ read: z.number(),\n 253→ write: z.number(),\n 254→ }),\n 255→ }),\n 256→ }).meta({\n 257→ ref: \"StepFinishPart\",\n 258→ })\n 259→ export type StepFinishPart = z.infer<typeof StepFinishPart>\n 260→\n 261→ export const ToolStatePending = z\n 262→ .object({\n 263→ status: z.literal(\"pending\"),\n 264→ input: z.record(z.string(), z.any()),\n 265→ raw: z.string(),\n 266→ })\n 267→ .meta({\n 268→ ref: \"ToolStatePending\",\n 269→ })\n 270→\n 271→ export type ToolStatePending = z.infer<typeof ToolStatePending>\n 272→\n 273→ export const ToolStateRunning = z\n 274→ .object({\n 275→ status: z.literal(\"running\"),\n 276→ input: z.record(z.string(), z.any()),\n 277→ title: z.string().optional(),\n 278→ metadata: z.record(z.string(), z.any()).optional(),\n 279→ time: z.object({\n 280→ start: z.number(),\n 281→ }),\n 282→ })\n 283→ .meta({\n 284→ ref: \"ToolStateRunning\",\n 285→ })\n 286→ export type ToolStateRunning = z.infer<typeof ToolStateRunning>\n 287→\n 288→ export const ToolStateCompleted = z\n 289→ .object({\n 290→ status: z.literal(\"completed\"),\n 291→ input: z.record(z.string(), z.any()),\n 292→ output: z.string(),\n 293→ title: z.string(),\n 294→ metadata: z.record(z.string(), z.any()),\n 295→ time: z.object({\n 296→ start: z.number(),\n 297→ end: z.number(),\n 298→ compacted: z.number().optional(),\n 299→ }),\n 300→ attachments: FilePart.array().optional(),\n 301→ })\n 302→ .meta({\n 303→ ref: \"ToolStateCompleted\",\n 304→ })\n 305→ export type ToolStateCompleted = z.infer<typeof ToolStateCompleted>\n 306→\n 307→ export const ToolStateError = z\n 308→ .object({\n 309→ status: z.literal(\"error\"),\n 310→ input: z.record(z.string(), z.any()),\n 311→ error: z.string(),\n 312→ metadata: z.record(z.string(), z.any()).optional(),\n 313→ time: z.object({\n 314→ start: z.number(),\n 315→ end: z.number(),\n 316→ }),\n 317→ })\n 318→ .meta({\n 319→ ref: \"ToolStateError\",\n 320→ })\n 321→ export type ToolStateError = z.infer<typeof ToolStateError>\n 322→\n 323→ export const ToolState = z\n 324→ .discriminatedUnion(\"status\", [ToolStatePending, ToolStateRunning, ToolStateCompleted, ToolStateError])\n 325→ .meta({\n 326→ ref: \"ToolState\",\n 327→ })\n 328→\n 329→ export const ToolPart = PartBase.extend({\n 330→ type: z.literal(\"tool\"),\n 331→ callID: z.string(),\n 332→ tool: z.string(),\n 333→ state: ToolState,\n 334→ metadata: z.record(z.string(), z.any()).optional(),\n 335→ }).meta({\n 336→ ref: \"ToolPart\",\n 337→ })\n 338→ export type ToolPart = z.infer<typeof ToolPart>\n 339→\n 340→ const Base = z.object({\n 341→ id: z.string(),\n 342→ sessionID: z.string(),\n 343→ })\n 344→\n 345→ export const User = Base.extend({\n 346→ role: z.literal(\"user\"),\n 347→ time: z.object({\n 348→ created: z.number(),\n 349→ }),\n 350→ format: Format.optional(),\n 351→ summary: z\n 352→ .object({\n 353→ title: z.string().optional(),\n 354→ body: z.string().optional(),\n 355→ diffs: Snapshot.FileDiff.array(),\n 356→ })\n 357→ .optional(),\n 358→ agent: z.string(),\n 359→ model: z.object({\n 360→ providerID: z.string(),\n 361→ modelID: z.string(),\n 362→ }),\n 363→ system: z.string().optional(),\n 364→ tools: z.record(z.string(), z.boolean()).optional(),\n 365→ variant: z.string().optional(),\n 366→ }).meta({\n 367→ ref: \"UserMessage\",\n 368→ })\n 369→ export type User = z.infer<typeof User>\n 370→\n 371→ export const Part = z\n 372→ .discriminatedUnion(\"type\", [\n 373→ TextPart,\n 374→ SubtaskPart,\n 375→ ReasoningPart,\n 376→ FilePart,\n 377→ ToolPart,\n 378→ StepStartPart,\n 379→ StepFinishPart,\n 380→ SnapshotPart,\n 381→ PatchPart,\n 382→ AgentPart,\n 383→ RetryPart,\n 384→ CompactionPart,\n 385→ ])\n 386→ .meta({\n 387→ ref: \"Part\",\n 388→ })\n 389→ export type Part = z.infer<typeof Part>\n 390→\n 391→ export const Assistant = Base.extend({\n 392→ role: z.literal(\"assistant\"),\n 393→ time: z.object({\n 394→ created: z.number(),\n 395→ completed: z.number().optional(),\n 396→ }),\n 397→ error: z\n 398→ .discriminatedUnion(\"name\", [\n 399→ AuthError.Schema,\n 400→ NamedError.Unknown.Schema,\n 401→ OutputLengthError.Schema,\n 402→ AbortedError.Schema,\n 403→ StructuredOutputError.Schema,\n 404→ ContextOverflowError.Schema,\n 405→ APIError.Schema,\n 406→ ])\n 407→ .optional(),\n 408→ parentID: z.string(),\n 409→ modelID: z.string(),\n 410→ providerID: z.string(),\n 411→ /**\n 412→ * @deprecated\n 413→ */\n 414→ mode: z.string(),\n 415→ agent: z.string(),\n 416→ path: z.object({\n 417→ cwd: z.string(),\n 418→ root: z.string(),\n 419→ }),\n 420→ summary: z.boolean().optional(),\n 421→ cost: z.number(),\n 422→ tokens: z.object({\n 423→ total: z.number().optional(),\n 424→ input: z.number(),\n 425→ output: z.number(),\n 426→ reasoning: z.number(),\n 427→ cache: z.object({\n 428→ read: z.number(),\n 429→ write: z.number(),\n 430→ }),\n 431→ }),\n 432→ structured: z.any().optional(),\n 433→ variant: z.string().optional(),\n 434→ finish: z.string().optional(),\n 435→ }).meta({\n 436→ ref: \"AssistantMessage\",\n 437→ })\n 438→ export type Assistant = z.infer<typeof Assistant>\n 439→\n 440→ export const Info = z.discriminatedUnion(\"role\", [User, Assistant]).meta({\n 441→ ref: \"Message\",\n 442→ })\n 443→ export type Info = z.infer<typeof Info>\n 444→\n 445→ export const Event = {\n 446→ Updated: BusEvent.define(\n 447→ \"message.updated\",\n 448→ z.object({\n 449→ info: Info,\n 450→ }),\n 451→ ),\n 452→ Removed: BusEvent.define(\n 453→ \"message.removed\",\n 454→ z.object({\n 455→ sessionID: z.string(),\n 456→ messageID: z.string(),\n 457→ }),\n 458→ ),\n 459→ PartUpdated: BusEvent.define(\n 460→ \"message.part.updated\",\n 461→ z.object({\n 462→ part: Part,\n 463→ }),\n 464→ ),\n 465→ PartDelta: BusEvent.define(\n 466→ \"message.part.delta\",\n 467→ z.object({\n 468→ sessionID: z.string(),\n 469→ messageID: z.string(),\n 470→ partID: z.string(),\n 471→ field: z.string(),\n 472→ delta: z.string(),\n 473→ }),\n 474→ ),\n 475→ PartRemoved: BusEvent.define(\n 476→ \"message.part.removed\",\n 477→ z.object({\n 478→ sessionID: z.string(),\n 479→ messageID: z.string(),\n 480→ partID: z.string(),\n 481→ }),\n 482→ ),\n 483→ }\n 484→\n 485→ export const WithParts = z.object({\n 486→ info: Info,\n 487→ parts: z.array(Part),\n 488→ })\n 489→ export type WithParts = z.infer<typeof WithParts>\n 490→\n 491→ export function toModelMessages(input: WithParts[], model: Provider.Model): ModelMessage[] {\n 492→ const result: UIMessage[] = []\n 493→ const toolNames = new Set<string>()\n 494→ // Track media from tool results that need to be injected as user messages\n 495→ // for providers that don't support media in tool results.\n 496→ //\n 497→ // OpenAI-compatible APIs only support string content in tool results, so we need\n 498→ // to extract media and inject as user messages. Other SDKs (anthropic, google,\n 499→ // bedrock) handle type: \"content\" with media parts natively.\n 500→ //\n 501→ // Only apply this workaround if the model actually supports image input -\n 502→ // otherwise there's no point extracting images.\n 503→ const supportsMediaInToolResults = (() => {\n 504→ if (model.api.npm === \"@ai-sdk/anthropic\") return true\n 505→ if (model.api.npm === \"@ai-sdk/openai\") return true\n 506→ if (model.api.npm === \"@ai-sdk/amazon-bedrock\") return true\n 507→ if (model.api.npm === \"@ai-sdk/google-vertex/anthropic\") return true\n 508→ if (model.api.npm === \"@ai-sdk/google\") {\n 509→ const id = model.api.id.toLowerCase()\n 510→ return id.includes(\"gemini-3\") && !id.includes(\"gemini-2\")\n 511→ }\n 512→ return false\n 513→ })()\n 514→\n 515→ const toModelOutput = (output: unknown) => {\n 516→ if (typeof output === \"string\") {\n 517→ return { type: \"text\", value: output }\n 518→ }\n 519→\n 520→ if (typeof output === \"object\") {\n 521→ const outputObject = output as {\n 522→ text: string\n 523→ attachments?: Array<{ mime: string; url: string }>\n 524→ }\n 525→ const attachments = (outputObject.attachments ?? []).filter((attachment) => {\n 526→ return attachment.url.startsWith(\"data:\") && attachment.url.includes(\",\")\n 527→ })\n 528→\n 529→ return {\n 530→ type: \"content\",\n 531→ value: [\n 532→ { type: \"text\", text: outputObject.text },\n 533→ ...attachments.map((attachment) => ({\n 534→ type: \"media\",\n 535→ mediaType: attachment.mime,\n 536→ data: iife(() => {\n 537→ const commaIndex = attachment.url.indexOf(\",\")\n 538→ return commaIndex === -1 ? attachment.url : attachment.url.slice(commaIndex + 1)\n 539→ }),\n 540→ })),\n 541→ ],\n 542→ }\n 543→ }\n 544→\n 545→ return { type: \"json\", value: output as never }\n 546→ }\n 547→\n 548→ for (const msg of input) {\n 549→ if (msg.parts.length === 0) continue\n 550→\n 551→ if (msg.info.role === \"user\") {\n 552→ const userMessage: UIMessage = {\n 553→ id: msg.info.id,\n 554→ role: \"user\",\n 555→ parts: [],\n 556→ }\n 557→ result.push(userMessage)\n 558→ for (const part of msg.parts) {\n 559→ if (part.type === \"text\" && !part.ignored)\n 560→ userMessage.parts.push({\n 561→ type: \"text\",\n 562→ text: part.text,\n 563→ })\n 564→ // text/plain and directory files are converted into text parts, ignore them\n 565→ if (part.type === \"file\" && part.mime !== \"text/plain\" && part.mime !== \"application/x-directory\")\n 566→ userMessage.parts.push({\n 567→ type: \"file\",\n 568→ url: part.url,\n 569→ mediaType: part.mime,\n 570→ filename: part.filename,\n 571→ })\n 572→\n 573→ if (part.type === \"compaction\") {\n 574→ userMessage.parts.push({\n 575→ type: \"text\",\n 576→ text: \"What did we do so far?\",\n 577→ })\n 578→ }\n 579→ if (part.type === \"subtask\") {\n 580→ userMessage.parts.push({\n 581→ type: \"text\",\n 582→ text: \"The following tool was executed by the user\",\n 583→ })\n 584→ }\n 585→ }\n 586→ }\n 587→\n 588→ if (msg.info.role === \"assistant\") {\n 589→ const differentModel = `${model.providerID}/${model.id}` !== `${msg.info.providerID}/${msg.info.modelID}`\n 590→ const media: Array<{ mime: string; url: string }> = []\n 591→\n 592→ if (\n 593→ msg.info.error &&\n 594→ !(\n 595→ MessageV2.AbortedError.isInstance(msg.info.error) &&\n 596→ msg.parts.some((part) => part.type !== \"step-start\" && part.type !== \"reasoning\")\n 597→ )\n 598→ ) {\n 599→ continue\n 600→ }\n 601→ const assistantMessage: UIMessage = {\n 602→ id: msg.info.id,\n 603→ role: \"assistant\",\n 604→ parts: [],\n 605→ }\n 606→ for (const part of msg.parts) {\n 607→ if (part.type === \"text\")\n 608→ assistantMessage.parts.push({\n 609→ type: \"text\",\n 610→ text: part.text,\n 611→ ...(differentModel ? {} : { providerMetadata: part.metadata }),\n 612→ })\n 613→ if (part.type === \"step-start\")\n 614→ assistantMessage.parts.push({\n 615→ type: \"step-start\",\n 616→ })\n 617→ if (part.type === \"tool\") {\n 618→ toolNames.add(part.tool)\n 619→ if (part.state.status === \"completed\") {\n 620→ const outputText = part.state.time.compacted ? \"[Old tool result content cleared]\" : part.state.output\n 621→ const attachments = part.state.time.compacted ? [] : (part.state.attachments ?? [])\n 622→\n 623→ // For providers that don't support media in tool results, extract media files\n 624→ // (images, PDFs) to be sent as a separate user message\n 625→ const isMediaAttachment = (a: { mime: string }) =>\n 626→ a.mime.startsWith(\"image/\") || a.mime === \"application/pdf\"\n 627→ const mediaAttachments = attachments.filter(isMediaAttachment)\n 628→ const nonMediaAttachments = attachments.filter((a) => !isMediaAttachment(a))\n 629→ if (!supportsMediaInToolResults && mediaAttachments.length > 0) {\n 630→ media.push(...mediaAttachments)\n 631→ }\n 632→ const finalAttachments = supportsMediaInToolResults ? attachments : nonMediaAttachments\n 633→\n 634→ const output =\n 635→ finalAttachments.length > 0\n 636→ ? {\n 637→ text: outputText,\n 638→ attachments: finalAttachments,\n 639→ }\n 640→ : outputText\n 641→\n 642→ assistantMessage.parts.push({\n 643→ type: (\"tool-\" + part.tool) as `tool-${string}`,\n 644→ state: \"output-available\",\n 645→ toolCallId: part.callID,\n 646→ input: part.state.input,\n 647→ output,\n 648→ ...(differentModel ? {} : { callProviderMetadata: part.metadata }),\n 649→ })\n 650→ }\n 651→ if (part.state.status === \"error\")\n 652→ assistantMessage.parts.push({\n 653→ type: (\"tool-\" + part.tool) as `tool-${string}`,\n 654→ state: \"output-error\",\n 655→ toolCallId: part.callID,\n 656→ input: part.state.input,\n 657→ errorText: part.state.error,\n 658→ ...(differentModel ? {} : { callProviderMetadata: part.metadata }),\n 659→ })\n 660→ // Handle pending/running tool calls to prevent dangling tool_use blocks\n 661→ // Anthropic/Claude APIs require every tool_use to have a corresponding tool_result\n 662→ if (part.state.status === \"pending\" || part.state.status === \"running\")\n 663→ assistantMessage.parts.push({\n 664→ type: (\"tool-\" + part.tool) as `tool-${string}`,\n 665→ state: \"output-error\",\n 666→ toolCallId: part.callID,\n 667→ input: part.state.input,\n 668→ errorText: \"[Tool execution was interrupted]\",\n 669→ ...(differentModel ? {} : { callProviderMetadata: part.metadata }),\n 670→ })\n 671→ }\n 672→ if (part.type === \"reasoning\") {\n 673→ assistantMessage.parts.push({\n 674→ type: \"reasoning\",\n 675→ text: part.text,\n 676→ ...(differentModel ? {} : { providerMetadata: part.metadata }),\n 677→ })\n 678→ }\n 679→ }\n 680→ if (assistantMessage.parts.length > 0) {\n 681→ result.push(assistantMessage)\n 682→ // Inject pending media as a user message for providers that don't support\n 683→ // media (images, PDFs) in tool results\n 684→ if (media.length > 0) {\n 685→ result.push({\n 686→ id: Identifier.ascending(\"message\"),\n 687→ role: \"user\",\n 688→ parts: [\n 689→ {\n 690→ type: \"text\" as const,\n 691→ text: \"Attached image(s) from tool result:\",\n 692→ },\n 693→ ...media.map((attachment) => ({\n 694→ type: \"file\" as const,\n 695→ url: attachment.url,\n 696→ mediaType: attachment.mime,\n 697→ })),\n 698→ ],\n 699→ })\n 700→ }\n 701→ }\n 702→ }\n 703→ }\n 704→\n 705→ const tools = Object.fromEntries(Array.from(toolNames).map((toolName) => [toolName, { toModelOutput }]))\n 706→\n 707→ return convertToModelMessages(\n 708→ result.filter((msg) => msg.parts.some((part) => part.type !== \"step-start\")),\n 709→ {\n 710→ //@ts-expect-error (convertToModelMessages expects a ToolSet but only actually needs tools[name]?.toModelOutput)\n 711→ tools,\n 712→ },\n 713→ )\n 714→ }\n 715→\n 716→ export const stream = fn(Identifier.schema(\"session\"), async function* (sessionID) {\n 717→ const size = 50\n 718→ let offset = 0\n 719→ while (true) {\n 720→ const rows = Database.use((db) =>\n 721→ db\n 722→ .select()\n 723→ .from(MessageTable)\n 724→ .where(eq(MessageTable.session_id, sessionID))\n 725→ .orderBy(desc(MessageTable.time_created))\n 726→ .limit(size)\n 727→ .offset(offset)\n 728→ .all(),\n 729→ )\n 730→ if (rows.length === 0) break\n 731→\n 732→ const ids = rows.map((row) => row.id)\n 733→ const partsByMessage = new Map<string, MessageV2.Part[]>()\n 734→ if (ids.length > 0) {\n 735→ const partRows = Database.use((db) =>\n 736→ db\n 737→ .select()\n 738→ .from(PartTable)\n 739→ .where(inArray(PartTable.message_id, ids))\n 740→ .orderBy(PartTable.message_id, PartTable.id)\n 741→ .all(),\n 742→ )\n 743→ for (const row of partRows) {\n 744→ const part = {\n 745→ ...row.data,\n 746→ id: row.id,\n 747→ sessionID: row.session_id,\n 748→ messageID: row.message_id,\n 749→ } as MessageV2.Part\n 750→ const list = partsByMessage.get(row.message_id)\n 751→ if (list) list.push(part)\n 752→ else partsByMessage.set(row.message_id, [part])\n 753→ }\n 754→ }\n 755→\n 756→ for (const row of rows) {\n 757→ const info = { ...row.data, id: row.id, sessionID: row.session_id } as MessageV2.Info\n 758→ yield {\n 759→ info,\n 760→ parts: partsByMessage.get(row.id) ?? [],\n 761→ }\n 762→ }\n 763→\n 764→ offset += rows.length\n 765→ if (rows.length < size) break\n 766→ }\n 767→ })\n 768→\n 769→ export const parts = fn(Identifier.schema(\"message\"), async (message_id) => {\n 770→ const rows = Database.use((db) =>\n 771→ db.select().from(PartTable).where(eq(PartTable.message_id, message_id)).orderBy(PartTable.id).all(),\n 772→ )\n 773→ return rows.map(\n 774→ (row) => ({ ...row.data, id: row.id, sessionID: row.session_id, messageID: row.message_id }) as MessageV2.Part,\n 775→ )\n 776→ })\n 777→\n 778→ export const get = fn(\n 779→ z.object({\n 780→ sessionID: Identifier.schema(\"session\"),\n 781→ messageID: Identifier.schema(\"message\"),\n 782→ }),\n 783→ async (input): Promise<WithParts> => {\n 784→ const row = Database.use((db) => db.select().from(MessageTable).where(eq(MessageTable.id, input.messageID)).get())\n 785→ if (!row) throw new Error(`Message not found: ${input.messageID}`)\n 786→ const info = { ...row.data, id: row.id, sessionID: row.session_id } as MessageV2.Info\n 787→ return {\n 788→ info,\n 789→ parts: await parts(input.messageID),\n 790→ }\n 791→ },\n 792→ )\n 793→\n 794→ export async function filterCompacted(stream: AsyncIterable<MessageV2.WithParts>) {\n 795→ const result = [] as MessageV2.WithParts[]\n 796→ const completed = new Set<string>()\n 797→ for await (const msg of stream) {\n 798→ result.push(msg)\n 799→ if (\n 800→ msg.info.role === \"user\" &&\n 801→ completed.has(msg.info.id) &&\n 802→ msg.parts.some((part) => part.type === \"compaction\")\n 803→ )\n 804→ break\n 805→ if (msg.info.role === \"assistant\" && msg.info.summary && msg.info.finish) completed.add(msg.info.parentID)\n 806→ }\n 807→ result.reverse()\n 808→ return result\n 809→ }\n 810→\n 811→ export function fromError(e: unknown, ctx: { providerID: string }) {\n 812→ switch (true) {\n 813→ case e instanceof DOMException && e.name === \"AbortError\":\n 814→ return new MessageV2.AbortedError(\n 815→ { message: e.message },\n 816→ {\n 817→ cause: e,\n 818→ },\n 819→ ).toObject()\n 820→ case MessageV2.OutputLengthError.isInstance(e):\n 821→ return e\n 822→ case LoadAPIKeyError.isInstance(e):\n 823→ return new MessageV2.AuthError(\n 824→ {\n 825→ providerID: ctx.providerID,\n 826→ message: e.message,\n 827→ },\n 828→ { cause: e },\n 829→ ).toObject()\n 830→ case (e as SystemError)?.code === \"ECONNRESET\":\n 831→ return new MessageV2.APIError(\n 832→ {\n 833→ message: \"Connection reset by server\",\n 834→ isRetryable: true,\n 835→ metadata: {\n 836→ code: (e as SystemError).code ?? \"\",\n 837→ syscall: (e as SystemError).syscall ?? \"\",\n 838→ message: (e as SystemError).message ?? \"\",\n 839→ },\n 840→ },\n 841→ { cause: e },\n 842→ ).toObject()\n 843→ case APICallError.isInstance(e):\n 844→ const parsed = ProviderError.parseAPICallError({\n 845→ providerID: ctx.providerID,\n 846→ error: e,\n 847→ })\n 848→ if (parsed.type === \"context_overflow\") {\n 849→ return new MessageV2.ContextOverflowError(\n 850→ {\n 851→ message: parsed.message,\n 852→ responseBody: parsed.responseBody,\n 853→ },\n 854→ { cause: e },\n 855→ ).toObject()\n 856→ }\n 857→\n 858→ return new MessageV2.APIError(\n 859→ {\n 860→ message: parsed.message,\n 861→ statusCode: parsed.statusCode,\n 862→ isRetryable: parsed.isRetryable,\n 863→ responseHeaders: parsed.responseHeaders,\n 864→ responseBody: parsed.responseBody,\n 865→ metadata: parsed.metadata,\n 866→ },\n 867→ { cause: e },\n 868→ ).toObject()\n 869→ case e instanceof Error:\n 870→ return new NamedError.Unknown({ message: e.toString() }, { cause: e }).toObject()\n 871→ default:\n 872→ try {\n 873→ const parsed = ProviderError.parseStreamError(e)\n 874→ if (parsed) {\n 875→ if (parsed.type === \"context_overflow\") {\n 876→ return new MessageV2.ContextOverflowError(\n 877→ {\n 878→ message: parsed.message,\n 879→ responseBody: parsed.responseBody,\n 880→ },\n 881→ { cause: e },\n 882→ ).toObject()\n 883→ }\n 884→ return new MessageV2.APIError(\n 885→ {\n 886→ message: parsed.message,\n 887→ isRetryable: parsed.isRetryable,\n 888→ responseBody: parsed.responseBody,\n 889→ },\n 890→ {\n 891→ cause: e,\n 892→ },\n 893→ ).toObject()\n 894→ }\n 895→ } catch {}\n 896→ return new NamedError.Unknown({ message: JSON.stringify(e) }, { cause: e }).toObject()\n 897→ }\n 898→ }\n 899→}\n 900→\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_013rKZ2CjV4QE9B4YXGGwYWk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "b96c8dda-f59b-49a9-a996-a4390b6d72ee" | |
| } | |
| [2026-02-14T10:48:56.986Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01Uj4qZk96AwcX5mM9DsgN78", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01P4hmRu3ugGVTXmwGMD4BFa", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/opencode-analysis/packages/sdk/js/src/v2/gen/core/serverSentEvents.gen.ts" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 3666, | |
| "cache_read_input_tokens": 15721, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 3666 | |
| }, | |
| "output_tokens": 1, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": "toolu_013rKZ2CjV4QE9B4YXGGwYWk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "c772714e-947a-4c6e-ad6a-83f311e8415a" | |
| } | |
| [2026-02-14T10:48:56.989Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01P4hmRu3ugGVTXmwGMD4BFa", | |
| "type": "tool_result", | |
| "content": " 1→// This file is auto-generated by @hey-api/openapi-ts\n 2→\n 3→import type { Config } from \"./types.gen.js\"\n 4→\n 5→export type ServerSentEventsOptions<TData = unknown> = Omit<RequestInit, \"method\"> &\n 6→ Pick<Config, \"method\" | \"responseTransformer\" | \"responseValidator\"> & {\n 7→ /**\n 8→ * Fetch API implementation. You can use this option to provide a custom\n 9→ * fetch instance.\n 10→ *\n 11→ * @default globalThis.fetch\n 12→ */\n 13→ fetch?: typeof fetch\n 14→ /**\n 15→ * Implementing clients can call request interceptors inside this hook.\n 16→ */\n 17→ onRequest?: (url: string, init: RequestInit) => Promise<Request>\n 18→ /**\n 19→ * Callback invoked when a network or parsing error occurs during streaming.\n 20→ *\n 21→ * This option applies only if the endpoint returns a stream of events.\n 22→ *\n 23→ * @param error The error that occurred.\n 24→ */\n 25→ onSseError?: (error: unknown) => void\n 26→ /**\n 27→ * Callback invoked when an event is streamed from the server.\n 28→ *\n 29→ * This option applies only if the endpoint returns a stream of events.\n 30→ *\n 31→ * @param event Event streamed from the server.\n 32→ * @returns Nothing (void).\n 33→ */\n 34→ onSseEvent?: (event: StreamEvent<TData>) => void\n 35→ serializedBody?: RequestInit[\"body\"]\n 36→ /**\n 37→ * Default retry delay in milliseconds.\n 38→ *\n 39→ * This option applies only if the endpoint returns a stream of events.\n 40→ *\n 41→ * @default 3000\n 42→ */\n 43→ sseDefaultRetryDelay?: number\n 44→ /**\n 45→ * Maximum number of retry attempts before giving up.\n 46→ */\n 47→ sseMaxRetryAttempts?: number\n 48→ /**\n 49→ * Maximum retry delay in milliseconds.\n 50→ *\n 51→ * Applies only when exponential backoff is used.\n 52→ *\n 53→ * This option applies only if the endpoint returns a stream of events.\n 54→ *\n 55→ * @default 30000\n 56→ */\n 57→ sseMaxRetryDelay?: number\n 58→ /**\n 59→ * Optional sleep function for retry backoff.\n 60→ *\n 61→ * Defaults to using `setTimeout`.\n 62→ */\n 63→ sseSleepFn?: (ms: number) => Promise<void>\n 64→ url: string\n 65→ }\n 66→\n 67→export interface StreamEvent<TData = unknown> {\n 68→ data: TData\n 69→ event?: string\n 70→ id?: string\n 71→ retry?: number\n 72→}\n 73→\n 74→export type ServerSentEventsResult<TData = unknown, TReturn = void, TNext = unknown> = {\n 75→ stream: AsyncGenerator<TData extends Record<string, unknown> ? TData[keyof TData] : TData, TReturn, TNext>\n 76→}\n 77→\n 78→export const createSseClient = <TData = unknown>({\n 79→ onRequest,\n 80→ onSseError,\n 81→ onSseEvent,\n 82→ responseTransformer,\n 83→ responseValidator,\n 84→ sseDefaultRetryDelay,\n 85→ sseMaxRetryAttempts,\n 86→ sseMaxRetryDelay,\n 87→ sseSleepFn,\n 88→ url,\n 89→ ...options\n 90→}: ServerSentEventsOptions): ServerSentEventsResult<TData> => {\n 91→ let lastEventId: string | undefined\n 92→\n 93→ const sleep = sseSleepFn ?? ((ms: number) => new Promise((resolve) => setTimeout(resolve, ms)))\n 94→\n 95→ const createStream = async function* () {\n 96→ let retryDelay: number = sseDefaultRetryDelay ?? 3000\n 97→ let attempt = 0\n 98→ const signal = options.signal ?? new AbortController().signal\n 99→\n 100→ while (true) {\n 101→ if (signal.aborted) break\n 102→\n 103→ attempt++\n 104→\n 105→ const headers =\n 106→ options.headers instanceof Headers\n 107→ ? options.headers\n 108→ : new Headers(options.headers as Record<string, string> | undefined)\n 109→\n 110→ if (lastEventId !== undefined) {\n 111→ headers.set(\"Last-Event-ID\", lastEventId)\n 112→ }\n 113→\n 114→ try {\n 115→ const requestInit: RequestInit = {\n 116→ redirect: \"follow\",\n 117→ ...options,\n 118→ body: options.serializedBody,\n 119→ headers,\n 120→ signal,\n 121→ }\n 122→ let request = new Request(url, requestInit)\n 123→ if (onRequest) {\n 124→ request = await onRequest(url, requestInit)\n 125→ }\n 126→ // fetch must be assigned here, otherwise it would throw the error:\n 127→ // TypeError: Failed to execute 'fetch' on 'Window': Illegal invocation\n 128→ const _fetch = options.fetch ?? globalThis.fetch\n 129→ const response = await _fetch(request)\n 130→\n 131→ if (!response.ok) throw new Error(`SSE failed: ${response.status} ${response.statusText}`)\n 132→\n 133→ if (!response.body) throw new Error(\"No body in SSE response\")\n 134→\n 135→ const reader = response.body.pipeThrough(new TextDecoderStream()).getReader()\n 136→\n 137→ let buffer = \"\"\n 138→\n 139→ const abortHandler = () => {\n 140→ try {\n 141→ reader.cancel()\n 142→ } catch {\n 143→ // noop\n 144→ }\n 145→ }\n 146→\n 147→ signal.addEventListener(\"abort\", abortHandler)\n 148→\n 149→ try {\n 150→ while (true) {\n 151→ const { done, value } = await reader.read()\n 152→ if (done) break\n 153→ buffer += value\n 154→ // Normalize line endings: CRLF -> LF, then CR -> LF\n 155→ buffer = buffer.replace(/\\r\\n/g, \"\\n\").replace(/\\r/g, \"\\n\")\n 156→\n 157→ const chunks = buffer.split(\"\\n\\n\")\n 158→ buffer = chunks.pop() ?? \"\"\n 159→\n 160→ for (const chunk of chunks) {\n 161→ const lines = chunk.split(\"\\n\")\n 162→ const dataLines: Array<string> = []\n 163→ let eventName: string | undefined\n 164→\n 165→ for (const line of lines) {\n 166→ if (line.startsWith(\"data:\")) {\n 167→ dataLines.push(line.replace(/^data:\\s*/, \"\"))\n 168→ } else if (line.startsWith(\"event:\")) {\n 169→ eventName = line.replace(/^event:\\s*/, \"\")\n 170→ } else if (line.startsWith(\"id:\")) {\n 171→ lastEventId = line.replace(/^id:\\s*/, \"\")\n 172→ } else if (line.startsWith(\"retry:\")) {\n 173→ const parsed = Number.parseInt(line.replace(/^retry:\\s*/, \"\"), 10)\n 174→ if (!Number.isNaN(parsed)) {\n 175→ retryDelay = parsed\n 176→ }\n 177→ }\n 178→ }\n 179→\n 180→ let data: unknown\n 181→ let parsedJson = false\n 182→\n 183→ if (dataLines.length) {\n 184→ const rawData = dataLines.join(\"\\n\")\n 185→ try {\n 186→ data = JSON.parse(rawData)\n 187→ parsedJson = true\n 188→ } catch {\n 189→ data = rawData\n 190→ }\n 191→ }\n 192→\n 193→ if (parsedJson) {\n 194→ if (responseValidator) {\n 195→ await responseValidator(data)\n 196→ }\n 197→\n 198→ if (responseTransformer) {\n 199→ data = await responseTransformer(data)\n 200→ }\n 201→ }\n 202→\n 203→ onSseEvent?.({\n 204→ data,\n 205→ event: eventName,\n 206→ id: lastEventId,\n 207→ retry: retryDelay,\n 208→ })\n 209→\n 210→ if (dataLines.length) {\n 211→ yield data as any\n 212→ }\n 213→ }\n 214→ }\n 215→ } finally {\n 216→ signal.removeEventListener(\"abort\", abortHandler)\n 217→ reader.releaseLock()\n 218→ }\n 219→\n 220→ break // exit loop on normal completion\n 221→ } catch (error) {\n 222→ // connection failed or aborted; retry after delay\n 223→ onSseError?.(error)\n 224→\n 225→ if (sseMaxRetryAttempts !== undefined && attempt >= sseMaxRetryAttempts) {\n 226→ break // stop after firing error\n 227→ }\n 228→\n 229→ // exponential backoff: double retry each attempt, cap at 30s\n 230→ const backoff = Math.min(retryDelay * 2 ** (attempt - 1), sseMaxRetryDelay ?? 30000)\n 231→ await sleep(backoff)\n 232→ }\n 233→ }\n 234→ }\n 235→\n 236→ const stream = createStream()\n 237→\n 238→ return { stream }\n 239→}\n 240→\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_013rKZ2CjV4QE9B4YXGGwYWk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "448fbb0f-f260-4c4c-9ccd-93481ca02874" | |
| } | |
| [2026-02-14T10:48:57.090Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01M7X2fKBM3tNF7tv33HGuoY", | |
| "type": "tool_result", | |
| "content": "/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:435: retry_budget: 3,\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:447: expectPair(commandArgs, [\"--config\", \"retry_budget=3\"]);\n/tmp/codex-analysis/codex-rs/app-server/src/transport.rs:406: message: \"Server overloaded; retry later.\".to_string(),\n/tmp/codex-analysis/codex-rs/app-server/src/transport.rs:617: \"message\": \"Server overloaded; retry later.\"\n/tmp/codex-analysis/codex-rs/app-server/src/bespoke_event_handling.rs:735: will_retry: false,\n/tmp/codex-analysis/codex-rs/app-server/src/bespoke_event_handling.rs:742: // We don't need to update the turn summary store for stream errors as they are intermediate error states for retries,\n/tmp/codex-analysis/codex-rs/app-server/src/bespoke_event_handling.rs:752: will_retry: true,\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/archive_thread.rs:150:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/archive_thread.rs:151:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_start.rs:207:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_start.rs:208:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_start.rs:233:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_start.rs:234:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/plan_item.rs:252:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/plan_item.rs:253:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/cli/src/desktop_app/mac.rs:146: .arg(\"--retry\")\n/tmp/codex-analysis/codex-rs/cli/src/desktop_app/mac.rs:148: .arg(\"--retry-delay\")\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/turn_interrupt.rs:140:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/turn_interrupt.rs:141:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_resume.rs:1018:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_resume.rs:1019:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_resume.rs:1048:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_resume.rs:1049:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/account.rs:90:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/account.rs:91:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/account.rs:333:// 401 response triggers account/chatgptAuthTokens/refresh and retries with new tokens.\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_rollback.rs:176:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_rollback.rs:177:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/protocol/src/approvals.rs:70: /// Optional human-readable reason for the approval (e.g. retry without sandbox).\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_archive.rs:162:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_archive.rs:163:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/protocol/src/protocol.rs:984: /// and the system is handling it (e.g., retrying with backoff).\n/tmp/codex-analysis/codex-rs/protocol/src/protocol.rs:1165: /// Reached the retry limit for responses.\n/tmp/codex-analysis/codex-rs/protocol/src/protocol.rs:2256: /// human-readable message that is surfaced as the terminal error if retries\n/tmp/codex-analysis/codex-rs/cloud-requirements/src/lib.rs:22:use codex_core::util::backoff;\n/tmp/codex-analysis/codex-rs/cloud-requirements/src/lib.rs:273: self.fetch_with_retries(&auth, chatgpt_user_id, account_id)\n/tmp/codex-analysis/codex-rs/cloud-requirements/src/lib.rs:277: async fn fetch_with_retries(\n/tmp/codex-analysis/codex-rs/cloud-requirements/src/lib.rs:292: \"Failed to fetch cloud requirements; retrying\"\n/tmp/codex-analysis/codex-rs/cloud-requirements/src/lib.rs:294: sleep(backoff(attempt as u64)).await;\n/tmp/codex-analysis/codex-rs/cloud-requirements/src/lib.rs:728: async fn fetch_cloud_requirements_retries_until_success() {\n/tmp/codex-analysis/codex-rs/cloud-requirements/src/lib.rs:761: async fn fetch_cloud_requirements_parse_error_does_not_retry() {\n/tmp/codex-analysis/codex-rs/cloud-requirements/src/lib.rs:1089: async fn fetch_cloud_requirements_none_is_success_without_retry() {\n/tmp/codex-analysis/codex-rs/cloud-requirements/src/lib.rs:1107: async fn fetch_cloud_requirements_stops_after_max_retries() {\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/output_schema.rs:229:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/output_schema.rs:230:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_fork.rs:185:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_fork.rs:186:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_read.rs:256:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_read.rs:257:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/exec/src/lib.rs:725: \"input is not valid UTF-8 (invalid byte at offset {valid_up_to}). Convert it to UTF-8 and retry (e.g., `iconv -f <ENC> -t UTF-8 prompt.txt`).\"\n/tmp/codex-analysis/codex-rs/exec/src/lib.rs:729: \"input looked like {encoding} but could not be decoded. Convert it to UTF-8 and retry.\"\n/tmp/codex-analysis/codex-rs/exec/src/lib.rs:733: \"input appears to be {encoding}. Convert it to UTF-8 and retry.\"\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/turn_steer.rs:174:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/turn_steer.rs:175:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/turn_start.rs:1908:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/turn_start.rs:1909:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/exec/tests/event_processor_with_json_output.rs:803: message: \"retrying\".to_string(),\n/tmp/codex-analysis/codex-rs/exec/tests/event_processor_with_json_output.rs:811: message: \"retrying\".to_string(),\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1246: let claim_with_retry = |runtime: Arc<StateRuntime>,\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1261: panic!(\"claim stage1 should have returned within retry budget\")\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1265: claim_with_retry(runtime_a, thread_id_a, owner_a),\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1266: claim_with_retry(runtime_b, thread_id_b, owner_b),\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1590: retry_at,\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1591: retry_remaining,\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1897: async fn stage1_retry_exhaustion_does_not_block_newer_watermark() {\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1918: .expect(\"claim stage1 for retry exhaustion\");\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1922: \"attempt {} should claim stage1 before retries are exhausted: {other:?}\",\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1931: \"attempt {} should decrement retry budget\",\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1939: .expect(\"claim stage1 after retry exhaustion\");\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1942: Stage1JobClaimOutcome::SkippedRetryExhausted\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1951: \"newer source watermark should reset retry budget and be claimable\"\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1955: \"SELECT retry_remaining, input_watermark FROM jobs WHERE kind = ? AND job_key = ?\",\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1964: .try_get::<i64, _>(\"retry_remaining\")\n/tmp/codex-analysis/codex-rs/state/src/runtime.rs:1965: .expect(\"retry_remaining\"),\n/tmp/codex-analysis/codex-rs/mcp-server/tests/suite/codex_tool.rs:506:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/mcp-server/tests/suite/codex_tool.rs:507:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/experimental_api.rs:158:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/experimental_api.rs:159:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/connection_handling_websocket.rs:258:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/connection_handling_websocket.rs:259:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/state/src/model/memories.rs:78: /// The job is in backoff and should not be retried yet.\n/tmp/codex-analysis/codex-rs/state/src/model/memories.rs:79: SkippedRetryBackoff,\n/tmp/codex-analysis/codex-rs/state/src/model/memories.rs:80: /// The job has exhausted retries and should not be retried automatically.\n/tmp/codex-analysis/codex-rs/state/src/model/memories.rs:81: SkippedRetryExhausted,\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_loaded_list.rs:118:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_loaded_list.rs:119:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/dynamic_tools.rs:451:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/dynamic_tools.rs:452:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/review.rs:447:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/review.rs:448:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_unarchive.rs:158:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/thread_unarchive.rs:159:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/initialize.rs:202:request_max_retries = 0\n/tmp/codex-analysis/codex-rs/app-server/tests/suite/v2/initialize.rs:203:stream_max_retries = 0\n/tmp/codex-analysis/codex-rs/state/src/runtime/memories.rs:18:const DEFAULT_RETRY_REMAINING: i64 = 3;\n/tmp/codex-analysis/codex-rs/state/src/runtime/memories.rs:228: /// - retry backoff (if present) has elapsed, or `source_updated_at` advanced\n/tmp/codex-analysis/codex-rs/state/src/runtime/memories.rs:229: /// - retries remain, or `source_updated_at` advanced (which resets retries)\n/tmp/codex-analysis/codex-rs/state/src/runtime/memories.rs:233: /// skip outcome (`SkippedRunning`, `SkippedRetryBackoff`, or\n/tmp/codex-analysis/codex-rs/state/src/runtime/memories.rs:234: /// `SkippedRetryExhausted`).\n/tmp/codex-analysis/codex-rs/state/src/runtime/memories.rs:300: retry_at,\n\n[Showing results with pagination = limit: 100, offset: 0]" | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": "toolu_018Bt4M1BoVX5nde6gWrkMdM", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "dad7e44d-9496-4069-9f3c-bbdf8b8b1e07" | |
| } | |
| [2026-02-14T10:48:57.438Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01Uj4qZk96AwcX5mM9DsgN78", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_012BKcMbFqByyqEq36qWnsRH", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/opencode-analysis/packages/sdk/js/src/gen/core/serverSentEvents.gen.ts" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 3666, | |
| "cache_read_input_tokens": 15721, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 3666 | |
| }, | |
| "output_tokens": 1, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": "toolu_013rKZ2CjV4QE9B4YXGGwYWk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "81a59e1b-916d-46e4-94e1-20e45ffa0b09" | |
| } | |
| [2026-02-14T10:48:57.447Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_012BKcMbFqByyqEq36qWnsRH", | |
| "type": "tool_result", | |
| "content": " 1→// This file is auto-generated by @hey-api/openapi-ts\n 2→\n 3→import type { Config } from \"./types.gen.js\"\n 4→\n 5→export type ServerSentEventsOptions<TData = unknown> = Omit<RequestInit, \"method\"> &\n 6→ Pick<Config, \"method\" | \"responseTransformer\" | \"responseValidator\"> & {\n 7→ /**\n 8→ * Callback invoked when a network or parsing error occurs during streaming.\n 9→ *\n 10→ * This option applies only if the endpoint returns a stream of events.\n 11→ *\n 12→ * @param error The error that occurred.\n 13→ */\n 14→ onSseError?: (error: unknown) => void\n 15→ /**\n 16→ * Callback invoked when an event is streamed from the server.\n 17→ *\n 18→ * This option applies only if the endpoint returns a stream of events.\n 19→ *\n 20→ * @param event Event streamed from the server.\n 21→ * @returns Nothing (void).\n 22→ */\n 23→ onSseEvent?: (event: StreamEvent<TData>) => void\n 24→ /**\n 25→ * Default retry delay in milliseconds.\n 26→ *\n 27→ * This option applies only if the endpoint returns a stream of events.\n 28→ *\n 29→ * @default 3000\n 30→ */\n 31→ sseDefaultRetryDelay?: number\n 32→ /**\n 33→ * Maximum number of retry attempts before giving up.\n 34→ */\n 35→ sseMaxRetryAttempts?: number\n 36→ /**\n 37→ * Maximum retry delay in milliseconds.\n 38→ *\n 39→ * Applies only when exponential backoff is used.\n 40→ *\n 41→ * This option applies only if the endpoint returns a stream of events.\n 42→ *\n 43→ * @default 30000\n 44→ */\n 45→ sseMaxRetryDelay?: number\n 46→ /**\n 47→ * Optional sleep function for retry backoff.\n 48→ *\n 49→ * Defaults to using `setTimeout`.\n 50→ */\n 51→ sseSleepFn?: (ms: number) => Promise<void>\n 52→ url: string\n 53→ }\n 54→\n 55→export interface StreamEvent<TData = unknown> {\n 56→ data: TData\n 57→ event?: string\n 58→ id?: string\n 59→ retry?: number\n 60→}\n 61→\n 62→export type ServerSentEventsResult<TData = unknown, TReturn = void, TNext = unknown> = {\n 63→ stream: AsyncGenerator<TData extends Record<string, unknown> ? TData[keyof TData] : TData, TReturn, TNext>\n 64→}\n 65→\n 66→export const createSseClient = <TData = unknown>({\n 67→ onSseError,\n 68→ onSseEvent,\n 69→ responseTransformer,\n 70→ responseValidator,\n 71→ sseDefaultRetryDelay,\n 72→ sseMaxRetryAttempts,\n 73→ sseMaxRetryDelay,\n 74→ sseSleepFn,\n 75→ url,\n 76→ ...options\n 77→}: ServerSentEventsOptions): ServerSentEventsResult<TData> => {\n 78→ let lastEventId: string | undefined\n 79→\n 80→ const sleep = sseSleepFn ?? ((ms: number) => new Promise((resolve) => setTimeout(resolve, ms)))\n 81→\n 82→ const createStream = async function* () {\n 83→ let retryDelay: number = sseDefaultRetryDelay ?? 3000\n 84→ let attempt = 0\n 85→ const signal = options.signal ?? new AbortController().signal\n 86→\n 87→ while (true) {\n 88→ if (signal.aborted) break\n 89→\n 90→ attempt++\n 91→\n 92→ const headers =\n 93→ options.headers instanceof Headers\n 94→ ? options.headers\n 95→ : new Headers(options.headers as Record<string, string> | undefined)\n 96→\n 97→ if (lastEventId !== undefined) {\n 98→ headers.set(\"Last-Event-ID\", lastEventId)\n 99→ }\n 100→\n 101→ try {\n 102→ const response = await fetch(url, { ...options, headers, signal })\n 103→\n 104→ if (!response.ok) throw new Error(`SSE failed: ${response.status} ${response.statusText}`)\n 105→\n 106→ if (!response.body) throw new Error(\"No body in SSE response\")\n 107→\n 108→ const reader = response.body.pipeThrough(new TextDecoderStream()).getReader()\n 109→\n 110→ let buffer = \"\"\n 111→\n 112→ const abortHandler = () => {\n 113→ try {\n 114→ reader.cancel()\n 115→ } catch {\n 116→ // noop\n 117→ }\n 118→ }\n 119→\n 120→ signal.addEventListener(\"abort\", abortHandler)\n 121→\n 122→ try {\n 123→ while (true) {\n 124→ const { done, value } = await reader.read()\n 125→ if (done) break\n 126→ buffer += value\n 127→\n 128→ const chunks = buffer.split(\"\\n\\n\")\n 129→ buffer = chunks.pop() ?? \"\"\n 130→\n 131→ for (const chunk of chunks) {\n 132→ const lines = chunk.split(\"\\n\")\n 133→ const dataLines: Array<string> = []\n 134→ let eventName: string | undefined\n 135→\n 136→ for (const line of lines) {\n 137→ if (line.startsWith(\"data:\")) {\n 138→ dataLines.push(line.replace(/^data:\\s*/, \"\"))\n 139→ } else if (line.startsWith(\"event:\")) {\n 140→ eventName = line.replace(/^event:\\s*/, \"\")\n 141→ } else if (line.startsWith(\"id:\")) {\n 142→ lastEventId = line.replace(/^id:\\s*/, \"\")\n 143→ } else if (line.startsWith(\"retry:\")) {\n 144→ const parsed = Number.parseInt(line.replace(/^retry:\\s*/, \"\"), 10)\n 145→ if (!Number.isNaN(parsed)) {\n 146→ retryDelay = parsed\n 147→ }\n 148→ }\n 149→ }\n 150→\n 151→ let data: unknown\n 152→ let parsedJson = false\n 153→\n 154→ if (dataLines.length) {\n 155→ const rawData = dataLines.join(\"\\n\")\n 156→ try {\n 157→ data = JSON.parse(rawData)\n 158→ parsedJson = true\n 159→ } catch {\n 160→ data = rawData\n 161→ }\n 162→ }\n 163→\n 164→ if (parsedJson) {\n 165→ if (responseValidator) {\n 166→ await responseValidator(data)\n 167→ }\n 168→\n 169→ if (responseTransformer) {\n 170→ data = await responseTransformer(data)\n 171→ }\n 172→ }\n 173→\n 174→ onSseEvent?.({\n 175→ data,\n 176→ event: eventName,\n 177→ id: lastEventId,\n 178→ retry: retryDelay,\n 179→ })\n 180→\n 181→ if (dataLines.length) {\n 182→ yield data as any\n 183→ }\n 184→ }\n 185→ }\n 186→ } finally {\n 187→ signal.removeEventListener(\"abort\", abortHandler)\n 188→ reader.releaseLock()\n 189→ }\n 190→\n 191→ break // exit loop on normal completion\n 192→ } catch (error) {\n 193→ // connection failed or aborted; retry after delay\n 194→ onSseError?.(error)\n 195→\n 196→ if (sseMaxRetryAttempts !== undefined && attempt >= sseMaxRetryAttempts) {\n 197→ break // stop after firing error\n 198→ }\n 199→\n 200→ // exponential backoff: double retry each attempt, cap at 30s\n 201→ const backoff = Math.min(retryDelay * 2 ** (attempt - 1), sseMaxRetryDelay ?? 30000)\n 202→ await sleep(backoff)\n 203→ }\n 204→ }\n 205→ }\n 206→\n 207→ const stream = createStream()\n 208→\n 209→ return { stream }\n 210→}\n 211→\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_013rKZ2CjV4QE9B4YXGGwYWk", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "d20af411-1afc-455c-ac0c-38b14a9ec546" | |
| } | |
| [2026-02-14T10:48:57.866Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_01HedbmrtPkwyfjwcGvitLfe", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_014VMJpJ5vzquMez1axq1hQe", | |
| "name": "Grep", | |
| "input": { | |
| "pattern": "SSE|server.sent|event.?stream|stream.*parse|parse.*stream", | |
| "path": "/tmp/codex-analysis", | |
| "output_mode": "content", | |
| "-i": true, | |
| "glob": "*.{ts,tsx,rs}", | |
| "head_limit": 80 | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 295, | |
| "cache_read_input_tokens": 18891, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 295 | |
| }, | |
| "output_tokens": 1, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": "toolu_018Bt4M1BoVX5nde6gWrkMdM", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "adb109e9-88c1-4b85-b8e3-f8e23f557018" | |
| } | |
| [2026-02-14T10:48:57.920Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_014VMJpJ5vzquMez1axq1hQe", | |
| "type": "tool_result", | |
| "content": "/tmp/codex-analysis/sdk/typescript/src/thread.ts:90: networkAccessEnabled: options?.networkAccessEnabled,\n/tmp/codex-analysis/sdk/typescript/src/threadOptions.ts:15: networkAccessEnabled?: boolean;\n/tmp/codex-analysis/sdk/typescript/src/events.ts:14: * A turn encompasses all events that happen while the agent is processing the prompt.\n/tmp/codex-analysis/sdk/typescript/src/events.ts:65:/** Represents an unrecoverable error emitted directly by the event stream. */\n/tmp/codex-analysis/sdk/typescript/src/codexOptions.ts:18: * Environment variables passed to the Codex CLI process. When provided, the SDK\n/tmp/codex-analysis/sdk/typescript/src/exec.ts:33: networkAccessEnabled?: boolean;\n/tmp/codex-analysis/sdk/typescript/src/exec.ts:111: if (args.networkAccessEnabled !== undefined) {\n/tmp/codex-analysis/sdk/typescript/src/exec.ts:114: `sandbox_workspace_write.network_access=${args.networkAccessEnabled}`,\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:22:export type SseEvent = {\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:27:export type SseResponseBody = {\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:28: kind: \"sse\";\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:29: events: SseEvent[];\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:33: responseBodies: Generator<SseResponseBody> | SseResponseBody[];\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:60:function formatSseEvent(event: SseEvent): string {\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:67: function* createGenerator(array: SseResponseBody[]): Generator<SseResponseBody> {\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:74: const responseBodies: Generator<SseResponseBody> = Array.isArray(options.responseBodies)\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:102: res.setHeader(\"content-type\", \"text/event-stream\");\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:106: res.write(formatSseEvent(event));\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:150:export function sse(...events: SseEvent[]): SseResponseBody {\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:152: kind: \"sse\",\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:157:export function responseStarted(responseId: string = DEFAULT_RESPONSE_ID): SseEvent {\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:166:export function assistantMessage(text: string, itemId: string = DEFAULT_MESSAGE_ID): SseEvent {\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:183:export function shell_call(): SseEvent {\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:199:export function responseFailed(errorMessage: string): SseEvent {\n/tmp/codex-analysis/sdk/typescript/tests/responsesProxy.ts:209:): SseEvent {\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:14: sse,\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:17: SseResponseBody,\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:26: responseBodies: [sse(responseStarted(), assistantMessage(\"Hi!\"), responseCompleted())],\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:58: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:63: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:101: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:106: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:145: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:150: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:188: it(\"passes turn options to exec\", async () => {\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:192: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:227: it(\"passes modelReasoningEffort to exec\", async () => {\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:231: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:258: it(\"passes networkAccessEnabled to exec\", async () => {\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:262: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:276: networkAccessEnabled: true,\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:289: it(\"passes webSearchEnabled to exec\", async () => {\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:293: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:320: it(\"passes webSearchMode to exec\", async () => {\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:324: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:351: it(\"passes webSearchEnabled false to exec\", async () => {\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:355: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:382: it(\"passes approvalPolicy to exec\", async () => {\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:386: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:413: it(\"passes CodexOptions config overrides as TOML --config flags\", async () => {\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:417: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:459: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:493: it(\"allows overriding the env passed to the Codex CLI\", async () => {\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:497: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:536: it(\"passes additionalDirectories as repeated flags\", async () => {\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:540: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:582: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:638: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:667: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:714: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:750: sse(\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:780: responseBodies: [sse(responseStarted(), assistantMessage(\"Hi!\"), responseCompleted())],\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:803: responseBodies: (function* (): Generator<SseResponseBody> {\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:804: yield sse(responseStarted(\"response_1\"));\n/tmp/codex-analysis/sdk/typescript/tests/run.test.ts:806: yield sse(responseFailed(\"rate limit exceeded\"));\n/tmp/codex-analysis/sdk/typescript/tests/runStreamed.test.ts:12: sse,\n/tmp/codex-analysis/sdk/typescript/tests/runStreamed.test.ts:22: responseBodies: [sse(responseStarted(), assistantMessage(\"Hi!\"), responseCompleted())],\n/tmp/codex-analysis/sdk/typescript/tests/runStreamed.test.ts:71: sse(\n/tmp/codex-analysis/sdk/typescript/tests/runStreamed.test.ts:76: sse(\n/tmp/codex-analysis/sdk/typescript/tests/runStreamed.test.ts:117: sse(\n/tmp/codex-analysis/sdk/typescript/tests/runStreamed.test.ts:122: sse(\n/tmp/codex-analysis/sdk/typescript/tests/runStreamed.test.ts:165: sse(\n/tmp/codex-analysis/sdk/typescript/tests/abort.test.ts:12: sse,\n/tmp/codex-analysis/sdk/typescript/tests/abort.test.ts:13: SseResponseBody,\n/tmp/codex-analysis/sdk/typescript/tests/abort.test.ts:19:function* infiniteShellCall(): Generator<SseResponseBody> {\n/tmp/codex-analysis/sdk/typescript/tests/abort.test.ts:21: yield sse(responseStarted(), shellCall(), responseCompleted());\n/tmp/codex-analysis/sdk/typescript/tests/abort.test.ts:147: responseBodies: [sse(responseStarted(), assistantMessage(\"Hi!\"), responseCompleted())],\n/tmp/codex-analysis/codex-rs/feedback/src/lib.rs:434: pretty_assertions::assert_eq!(std::str::from_utf8(snap.as_bytes()).unwrap(), \"cdefghij\");\n/tmp/codex-analysis/codex-rs/feedback/src/lib.rs:447: pretty_assertions::assert_eq!(snap.tags.get(\"model\").map(String::as_str), Some(\"gpt-5\"));\n/tmp/codex-analysis/codex-rs/feedback/src/lib.rs:448: pretty_assertions::assert_eq!(snap.tags.get(\"cached\").map(String::as_str), Some(\"true\"));\n\n[Showing results with pagination = limit: 80, offset: 0]" | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": "toolu_018Bt4M1BoVX5nde6gWrkMdM", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "86c8a770-9fa6-4647-8def-e0f121f5186e" | |
| } | |
| [2026-02-14T10:48:58.500Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_014sBbH6PpXcmYPyxbVKKENG", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01TKa3kDDLE5zpUbKGJMS5zu", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/qwen-code-analysis/packages/core/src/core/geminiChat.ts" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 4322, | |
| "cache_read_input_tokens": 16044, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 4322 | |
| }, | |
| "output_tokens": 1, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": "toolu_01FRxMizcMs1gt93z2tf66ue", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "8c5d2866-a7e2-461f-b479-8f9746d23405" | |
| } | |
| [2026-02-14T10:48:58.503Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01TKa3kDDLE5zpUbKGJMS5zu", | |
| "type": "tool_result", | |
| "content": " 1→/**\n 2→ * @license\n 3→ * Copyright 2025 Google LLC\n 4→ * SPDX-License-Identifier: Apache-2.0\n 5→ */\n 6→\n 7→// DISCLAIMER: This is a copied version of https://github.com/googleapis/js-genai/blob/main/src/chats.ts with the intention of working around a key bug\n 8→// where function responses are not treated as \"valid\" responses: https://b.corp.google.com/issues/420354090\n 9→\n 10→import type {\n 11→ GenerateContentResponse,\n 12→ Content,\n 13→ GenerateContentConfig,\n 14→ SendMessageParameters,\n 15→ Part,\n 16→ Tool,\n 17→ GenerateContentResponseUsageMetadata,\n 18→} from '@google/genai';\n 19→import { createUserContent } from '@google/genai';\n 20→import { getErrorStatus, retryWithBackoff } from '../utils/retry.js';\n 21→import { createDebugLogger } from '../utils/debugLogger.js';\n 22→import { parseAndFormatApiError } from '../utils/errorParsing.js';\n 23→import { isRateLimitError, type RetryInfo } from '../utils/rateLimit.js';\n 24→import type { Config } from '../config/config.js';\n 25→import { hasCycleInSchema } from '../tools/tools.js';\n 26→import type { StructuredError } from './turn.js';\n 27→import {\n 28→ logContentRetry,\n 29→ logContentRetryFailure,\n 30→} from '../telemetry/loggers.js';\n 31→import { type ChatRecordingService } from '../services/chatRecordingService.js';\n 32→import {\n 33→ ContentRetryEvent,\n 34→ ContentRetryFailureEvent,\n 35→} from '../telemetry/types.js';\n 36→import { uiTelemetryService } from '../telemetry/uiTelemetry.js';\n 37→\n 38→const debugLogger = createDebugLogger('QWEN_CODE_CHAT');\n 39→\n 40→export enum StreamEventType {\n 41→ /** A regular content chunk from the API. */\n 42→ CHUNK = 'chunk',\n 43→ /** A signal that a retry is about to happen. The UI should discard any partial\n 44→ * content from the attempt that just failed. */\n 45→ RETRY = 'retry',\n 46→}\n 47→\n 48→export type StreamEvent =\n 49→ | { type: StreamEventType.CHUNK; value: GenerateContentResponse }\n 50→ | { type: StreamEventType.RETRY; retryInfo?: RetryInfo };\n 51→\n 52→/**\n 53→ * Options for retrying due to invalid content from the model.\n 54→ */\n 55→interface ContentRetryOptions {\n 56→ /** Total number of attempts to make (1 initial + N retries). */\n 57→ maxAttempts: number;\n 58→ /** The base delay in milliseconds for linear backoff. */\n 59→ initialDelayMs: number;\n 60→}\n 61→\n 62→const INVALID_CONTENT_RETRY_OPTIONS: ContentRetryOptions = {\n 63→ maxAttempts: 2, // 1 initial call + 1 retry\n 64→ initialDelayMs: 500,\n 65→};\n 66→\n 67→/**\n 68→ * Options for retrying on rate-limit throttling errors returned as stream content.\n 69→ * Fixed 60s delay matches the DashScope per-minute quota window.\n 70→ * 10 retries aligns with Claude Code's retry behavior.\n 71→ */\n 72→const RATE_LIMIT_RETRY_OPTIONS = {\n 73→ maxRetries: 10,\n 74→ delayMs: 60000,\n 75→};\n 76→\n 77→/**\n 78→ * Returns true if the response is valid, false otherwise.\n 79→ *\n 80→ * The DashScope provider may return the last 2 chunks as:\n 81→ * 1. A choice(candidate) with finishReason and empty content\n 82→ * 2. Empty choices with usage metadata\n 83→ * We'll check separately for both of these cases.\n 84→ */\n 85→function isValidResponse(response: GenerateContentResponse): boolean {\n 86→ if (response.usageMetadata) {\n 87→ return true;\n 88→ }\n 89→\n 90→ if (response.candidates === undefined || response.candidates.length === 0) {\n 91→ return false;\n 92→ }\n 93→\n 94→ if (response.candidates.some((candidate) => candidate.finishReason)) {\n 95→ return true;\n 96→ }\n 97→\n 98→ const content = response.candidates[0]?.content;\n 99→ return content !== undefined && isValidContent(content);\n 100→}\n 101→\n 102→export function isValidNonThoughtTextPart(part: Part): boolean {\n 103→ return (\n 104→ typeof part.text === 'string' &&\n 105→ !part.thought &&\n 106→ !part.thoughtSignature &&\n 107→ // Technically, the model should never generate parts that have text and\n 108→ // any of these but we don't trust them so check anyways.\n 109→ !part.functionCall &&\n 110→ !part.functionResponse &&\n 111→ !part.inlineData &&\n 112→ !part.fileData\n 113→ );\n 114→}\n 115→\n 116→function isValidContent(content: Content): boolean {\n 117→ if (content.parts === undefined || content.parts.length === 0) {\n 118→ return false;\n 119→ }\n 120→ for (const part of content.parts) {\n 121→ if (part === undefined || Object.keys(part).length === 0) {\n 122→ return false;\n 123→ }\n 124→ if (!isValidContentPart(part)) {\n 125→ return false;\n 126→ }\n 127→ }\n 128→ return true;\n 129→}\n 130→\n 131→function isValidContentPart(part: Part): boolean {\n 132→ const isInvalid =\n 133→ !part.thought &&\n 134→ !part.thoughtSignature &&\n 135→ part.text !== undefined &&\n 136→ part.text === '' &&\n 137→ part.functionCall === undefined;\n 138→\n 139→ return !isInvalid;\n 140→}\n 141→\n 142→/**\n 143→ * Validates the history contains the correct roles.\n 144→ *\n 145→ * @throws Error if the history does not start with a user turn.\n 146→ * @throws Error if the history contains an invalid role.\n 147→ */\n 148→function validateHistory(history: Content[]) {\n 149→ for (const content of history) {\n 150→ if (content.role !== 'user' && content.role !== 'model') {\n 151→ throw new Error(`Role must be user or model, but got ${content.role}.`);\n 152→ }\n 153→ }\n 154→}\n 155→\n 156→/**\n 157→ * Extracts the curated (valid) history from a comprehensive history.\n 158→ *\n 159→ * @remarks\n 160→ * The model may sometimes generate invalid or empty contents(e.g., due to safety\n 161→ * filters or recitation). Extracting valid turns from the history\n 162→ * ensures that subsequent requests could be accepted by the model.\n 163→ */\n 164→function extractCuratedHistory(comprehensiveHistory: Content[]): Content[] {\n 165→ if (comprehensiveHistory === undefined || comprehensiveHistory.length === 0) {\n 166→ return [];\n 167→ }\n 168→ const curatedHistory: Content[] = [];\n 169→ const length = comprehensiveHistory.length;\n 170→ let i = 0;\n 171→ while (i < length) {\n 172→ if (comprehensiveHistory[i].role === 'user') {\n 173→ curatedHistory.push(comprehensiveHistory[i]);\n 174→ i++;\n 175→ } else {\n 176→ const modelOutput: Content[] = [];\n 177→ let isValid = true;\n 178→ while (i < length && comprehensiveHistory[i].role === 'model') {\n 179→ modelOutput.push(comprehensiveHistory[i]);\n 180→ if (isValid && !isValidContent(comprehensiveHistory[i])) {\n 181→ isValid = false;\n 182→ }\n 183→ i++;\n 184→ }\n 185→ if (isValid) {\n 186→ curatedHistory.push(...modelOutput);\n 187→ }\n 188→ }\n 189→ }\n 190→ return curatedHistory;\n 191→}\n 192→\n 193→/**\n 194→ * Custom error to signal that a stream completed with invalid content,\n 195→ * which should trigger a retry.\n 196→ */\n 197→export class InvalidStreamError extends Error {\n 198→ readonly type: 'NO_FINISH_REASON' | 'NO_RESPONSE_TEXT';\n 199→\n 200→ constructor(message: string, type: 'NO_FINISH_REASON' | 'NO_RESPONSE_TEXT') {\n 201→ super(message);\n 202→ this.name = 'InvalidStreamError';\n 203→ this.type = type;\n 204→ }\n 205→}\n 206→\n 207→/**\n 208→ * Chat session that enables sending messages to the model with previous\n 209→ * conversation context.\n 210→ *\n 211→ * @remarks\n 212→ * The session maintains all the turns between user and model.\n 213→ */\n 214→export class GeminiChat {\n 215→ // A promise to represent the current state of the message being sent to the\n 216→ // model.\n 217→ private sendPromise: Promise<void> = Promise.resolve();\n 218→\n 219→ /**\n 220→ * Creates a new GeminiChat instance.\n 221→ *\n 222→ * @param config - The configuration object.\n 223→ * @param generationConfig - Optional generation configuration.\n 224→ * @param history - Optional initial conversation history.\n 225→ * @param chatRecordingService - Optional recording service. If provided, chat\n 226→ * messages will be recorded.\n 227→ */\n 228→ constructor(\n 229→ private readonly config: Config,\n 230→ private readonly generationConfig: GenerateContentConfig = {},\n 231→ private history: Content[] = [],\n 232→ private readonly chatRecordingService?: ChatRecordingService,\n 233→ ) {\n 234→ validateHistory(history);\n 235→ }\n 236→\n 237→ setSystemInstruction(sysInstr: string) {\n 238→ this.generationConfig.systemInstruction = sysInstr;\n 239→ }\n 240→\n 241→ /**\n 242→ * Sends a message to the model and returns the response in chunks.\n 243→ *\n 244→ * @remarks\n 245→ * This method will wait for the previous message to be processed before\n 246→ * sending the next message.\n 247→ *\n 248→ * @see {@link Chat#sendMessage} for non-streaming method.\n 249→ * @param params - parameters for sending the message.\n 250→ * @return The model's response.\n 251→ *\n 252→ * @example\n 253→ * ```ts\n 254→ * const chat = ai.chats.create({model: 'gemini-2.0-flash'});\n 255→ * const response = await chat.sendMessageStream({\n 256→ * message: 'Why is the sky blue?'\n 257→ * });\n 258→ * for await (const chunk of response) {\n 259→ * console.log(chunk.text);\n 260→ * }\n 261→ * ```\n 262→ */\n 263→ async sendMessageStream(\n 264→ model: string,\n 265→ params: SendMessageParameters,\n 266→ prompt_id: string,\n 267→ ): Promise<AsyncGenerator<StreamEvent>> {\n 268→ await this.sendPromise;\n 269→\n 270→ let streamDoneResolver: () => void;\n 271→ const streamDonePromise = new Promise<void>((resolve) => {\n 272→ streamDoneResolver = resolve;\n 273→ });\n 274→ this.sendPromise = streamDonePromise;\n 275→\n 276→ const userContent = createUserContent(params.message);\n 277→\n 278→ // Add user content to history ONCE before any attempts.\n 279→ this.history.push(userContent);\n 280→ const requestContents = this.getHistory(true);\n 281→\n 282→ // eslint-disable-next-line @typescript-eslint/no-this-alias\n 283→ const self = this;\n 284→ return (async function* () {\n 285→ try {\n 286→ let lastError: unknown = new Error('Request failed after all retries.');\n 287→ let rateLimitRetryCount = 0;\n 288→\n 289→ for (\n 290→ let attempt = 0;\n 291→ attempt < INVALID_CONTENT_RETRY_OPTIONS.maxAttempts;\n 292→ attempt++\n 293→ ) {\n 294→ try {\n 295→ if (attempt > 0 || rateLimitRetryCount > 0) {\n 296→ yield { type: StreamEventType.RETRY };\n 297→ }\n 298→\n 299→ const stream = await self.makeApiCallAndProcessStream(\n 300→ model,\n 301→ requestContents,\n 302→ params,\n 303→ prompt_id,\n 304→ );\n 305→\n 306→ for await (const chunk of stream) {\n 307→ yield { type: StreamEventType.CHUNK, value: chunk };\n 308→ }\n 309→\n 310→ lastError = null;\n 311→ break;\n 312→ } catch (error) {\n 313→ lastError = error;\n 314→\n 315→ // Handle rate-limit / throttling errors returned as stream content.\n 316→ // These arrive as StreamContentError with finish_reason=\"error_finish\"\n 317→ // from the pipeline, containing the throttling message in the content.\n 318→ // Covers TPM throttling, GLM rate limits, and other provider throttling.\n 319→ const isRateLimit = isRateLimitError(error);\n 320→ if (\n 321→ isRateLimit &&\n 322→ rateLimitRetryCount < RATE_LIMIT_RETRY_OPTIONS.maxRetries\n 323→ ) {\n 324→ rateLimitRetryCount++;\n 325→ const delayMs = RATE_LIMIT_RETRY_OPTIONS.delayMs;\n 326→ const message = parseAndFormatApiError(\n 327→ error instanceof Error ? error.message : String(error),\n 328→ );\n 329→ debugLogger.warn(\n 330→ `Rate limit throttling detected (retry ${rateLimitRetryCount}/${RATE_LIMIT_RETRY_OPTIONS.maxRetries}). ` +\n 331→ `Waiting ${delayMs / 1000}s before retrying...`,\n 332→ );\n 333→ yield {\n 334→ type: StreamEventType.RETRY,\n 335→ retryInfo: {\n 336→ message,\n 337→ attempt: rateLimitRetryCount,\n 338→ maxRetries: RATE_LIMIT_RETRY_OPTIONS.maxRetries,\n 339→ delayMs,\n 340→ },\n 341→ };\n 342→ // Don't count rate-limit retries against the content retry limit\n 343→ attempt--;\n 344→ await new Promise((res) => setTimeout(res, delayMs));\n 345→ continue;\n 346→ }\n 347→\n 348→ const isContentError = error instanceof InvalidStreamError;\n 349→\n 350→ if (isContentError) {\n 351→ // Check if we have more attempts left.\n 352→ if (attempt < INVALID_CONTENT_RETRY_OPTIONS.maxAttempts - 1) {\n 353→ logContentRetry(\n 354→ self.config,\n 355→ new ContentRetryEvent(\n 356→ attempt,\n 357→ (error as InvalidStreamError).type,\n 358→ INVALID_CONTENT_RETRY_OPTIONS.initialDelayMs,\n 359→ model,\n 360→ ),\n 361→ );\n 362→ await new Promise((res) =>\n 363→ setTimeout(\n 364→ res,\n 365→ INVALID_CONTENT_RETRY_OPTIONS.initialDelayMs *\n 366→ (attempt + 1),\n 367→ ),\n 368→ );\n 369→ continue;\n 370→ }\n 371→ }\n 372→ break;\n 373→ }\n 374→ }\n 375→\n 376→ if (lastError) {\n 377→ if (lastError instanceof InvalidStreamError) {\n 378→ logContentRetryFailure(\n 379→ self.config,\n 380→ new ContentRetryFailureEvent(\n 381→ INVALID_CONTENT_RETRY_OPTIONS.maxAttempts,\n 382→ (lastError as InvalidStreamError).type,\n 383→ model,\n 384→ ),\n 385→ );\n 386→ }\n 387→ throw lastError;\n 388→ }\n 389→ } finally {\n 390→ streamDoneResolver!();\n 391→ }\n 392→ })();\n 393→ }\n 394→\n 395→ private async makeApiCallAndProcessStream(\n 396→ model: string,\n 397→ requestContents: Content[],\n 398→ params: SendMessageParameters,\n 399→ prompt_id: string,\n 400→ ): Promise<AsyncGenerator<GenerateContentResponse>> {\n 401→ const apiCall = () =>\n 402→ this.config.getContentGenerator().generateContentStream(\n 403→ {\n 404→ model,\n 405→ contents: requestContents,\n 406→ config: { ...this.generationConfig, ...params.config },\n 407→ },\n 408→ prompt_id,\n 409→ );\n 410→ const streamResponse = await retryWithBackoff(apiCall, {\n 411→ shouldRetryOnError: (error: unknown) => {\n 412→ if (error instanceof Error) {\n 413→ if (isSchemaDepthError(error.message)) return false;\n 414→ if (isInvalidArgumentError(error.message)) return false;\n 415→ }\n 416→\n 417→ const status = getErrorStatus(error);\n 418→ if (status === 400) return false;\n 419→ if (status === 429) return true;\n 420→ if (status && status >= 500 && status < 600) return true;\n 421→\n 422→ return false;\n 423→ },\n 424→ authType: this.config.getContentGeneratorConfig()?.authType,\n 425→ });\n 426→\n 427→ return this.processStreamResponse(model, streamResponse);\n 428→ }\n 429→\n 430→ /**\n 431→ * Returns the chat history.\n 432→ *\n 433→ * @remarks\n 434→ * The history is a list of contents alternating between user and model.\n 435→ *\n 436→ * There are two types of history:\n 437→ * - The `curated history` contains only the valid turns between user and\n 438→ * model, which will be included in the subsequent requests sent to the model.\n 439→ * - The `comprehensive history` contains all turns, including invalid or\n 440→ * empty model outputs, providing a complete record of the history.\n 441→ *\n 442→ * The history is updated after receiving the response from the model,\n 443→ * for streaming response, it means receiving the last chunk of the response.\n 444→ *\n 445→ * The `comprehensive history` is returned by default. To get the `curated\n 446→ * history`, set the `curated` parameter to `true`.\n 447→ *\n 448→ * @param curated - whether to return the curated history or the comprehensive\n 449→ * history.\n 450→ * @return History contents alternating between user and model for the entire\n 451→ * chat session.\n 452→ */\n 453→ getHistory(curated: boolean = false): Content[] {\n 454→ const history = curated\n 455→ ? extractCuratedHistory(this.history)\n 456→ : this.history;\n 457→ // Deep copy the history to avoid mutating the history outside of the\n 458→ // chat session.\n 459→ return structuredClone(history);\n 460→ }\n 461→\n 462→ /**\n 463→ * Clears the chat history.\n 464→ */\n 465→ clearHistory(): void {\n 466→ this.history = [];\n 467→ }\n 468→\n 469→ /**\n 470→ * Adds a new entry to the chat history.\n 471→ */\n 472→ addHistory(content: Content): void {\n 473→ this.history.push(content);\n 474→ }\n 475→\n 476→ setHistory(history: Content[]): void {\n 477→ this.history = history;\n 478→ }\n 479→\n 480→ stripThoughtsFromHistory(): void {\n 481→ this.history = this.history\n 482→ .map((content) => {\n 483→ if (!content.parts) return content;\n 484→\n 485→ // Filter out thought parts entirely\n 486→ const filteredParts = content.parts\n 487→ .filter(\n 488→ (part) =>\n 489→ !(\n 490→ part &&\n 491→ typeof part === 'object' &&\n 492→ 'thought' in part &&\n 493→ part.thought\n 494→ ),\n 495→ )\n 496→ .map((part) => {\n 497→ if (\n 498→ part &&\n 499→ typeof part === 'object' &&\n 500→ 'thoughtSignature' in part\n 501→ ) {\n 502→ const newPart = { ...part };\n 503→ delete (newPart as { thoughtSignature?: string })\n 504→ .thoughtSignature;\n 505→ return newPart;\n 506→ }\n 507→ return part;\n 508→ });\n 509→\n 510→ return {\n 511→ ...content,\n 512→ parts: filteredParts,\n 513→ };\n 514→ })\n 515→ // Remove Content objects that have no parts left after filtering\n 516→ .filter((content) => content.parts && content.parts.length > 0);\n 517→ }\n 518→\n 519→ setTools(tools: Tool[]): void {\n 520→ this.generationConfig.tools = tools;\n 521→ }\n 522→\n 523→ async maybeIncludeSchemaDepthContext(error: StructuredError): Promise<void> {\n 524→ // Check for potentially problematic cyclic tools with cyclic schemas\n 525→ // and include a recommendation to remove potentially problematic tools.\n 526→ if (\n 527→ isSchemaDepthError(error.message) ||\n 528→ isInvalidArgumentError(error.message)\n 529→ ) {\n 530→ const tools = this.config.getToolRegistry().getAllTools();\n 531→ const cyclicSchemaTools: string[] = [];\n 532→ for (const tool of tools) {\n 533→ if (\n 534→ (tool.schema.parametersJsonSchema &&\n 535→ hasCycleInSchema(tool.schema.parametersJsonSchema)) ||\n 536→ (tool.schema.parameters && hasCycleInSchema(tool.schema.parameters))\n 537→ ) {\n 538→ cyclicSchemaTools.push(tool.displayName);\n 539→ }\n 540→ }\n 541→ if (cyclicSchemaTools.length > 0) {\n 542→ const extraDetails =\n 543→ `\\n\\nThis error was probably caused by cyclic schema references in one of the following tools, try disabling them with excludeTools:\\n\\n - ` +\n 544→ cyclicSchemaTools.join(`\\n - `) +\n 545→ `\\n`;\n 546→ error.message += extraDetails;\n 547→ }\n 548→ }\n 549→ }\n 550→\n 551→ private async *processStreamResponse(\n 552→ model: string,\n 553→ streamResponse: AsyncGenerator<GenerateContentResponse>,\n 554→ ): AsyncGenerator<GenerateContentResponse> {\n 555→ // Collect ALL parts from the model response (including thoughts for recording)\n 556→ const allModelParts: Part[] = [];\n 557→ let usageMetadata: GenerateContentResponseUsageMetadata | undefined;\n 558→\n 559→ let hasToolCall = false;\n 560→ let hasFinishReason = false;\n 561→\n 562→ for await (const chunk of streamResponse) {\n 563→ hasFinishReason =\n 564→ chunk?.candidates?.some((candidate) => candidate.finishReason) ?? false;\n 565→ if (isValidResponse(chunk)) {\n 566→ const content = chunk.candidates?.[0]?.content;\n 567→ if (content?.parts) {\n 568→ if (content.parts.some((part) => part.functionCall)) {\n 569→ hasToolCall = true;\n 570→ }\n 571→\n 572→ // Collect all parts for recording\n 573→ allModelParts.push(...content.parts);\n 574→ }\n 575→ }\n 576→\n 577→ // Collect token usage for consolidated recording\n 578→ if (chunk.usageMetadata) {\n 579→ usageMetadata = chunk.usageMetadata;\n 580→ const lastPromptTokenCount =\n 581→ usageMetadata.totalTokenCount ?? usageMetadata.promptTokenCount;\n 582→ if (lastPromptTokenCount) {\n 583→ uiTelemetryService.setLastPromptTokenCount(lastPromptTokenCount);\n 584→ }\n 585→ }\n 586→\n 587→ yield chunk; // Yield every chunk to the UI immediately.\n 588→ }\n 589→\n 590→ let thoughtContentPart: Part | undefined;\n 591→ const thoughtText = allModelParts\n 592→ .filter((part) => part.thought)\n 593→ .map((part) => part.text)\n 594→ .join('')\n 595→ .trim();\n 596→\n 597→ if (thoughtText !== '') {\n 598→ thoughtContentPart = {\n 599→ text: thoughtText,\n 600→ thought: true,\n 601→ };\n 602→\n 603→ const thoughtSignature = allModelParts.filter(\n 604→ (part) => part.thoughtSignature && part.thought,\n 605→ )?.[0]?.thoughtSignature;\n 606→ if (thoughtContentPart && thoughtSignature) {\n 607→ thoughtContentPart.thoughtSignature = thoughtSignature;\n 608→ }\n 609→ }\n 610→\n 611→ const contentParts = allModelParts.filter((part) => !part.thought);\n 612→ const consolidatedHistoryParts: Part[] = [];\n 613→ for (const part of contentParts) {\n 614→ const lastPart =\n 615→ consolidatedHistoryParts[consolidatedHistoryParts.length - 1];\n 616→ if (\n 617→ lastPart?.text &&\n 618→ isValidNonThoughtTextPart(lastPart) &&\n 619→ isValidNonThoughtTextPart(part)\n 620→ ) {\n 621→ lastPart.text += part.text;\n 622→ } else if (isValidContentPart(part)) {\n 623→ consolidatedHistoryParts.push(part);\n 624→ }\n 625→ }\n 626→\n 627→ const contentText = consolidatedHistoryParts\n 628→ .filter((part) => part.text)\n 629→ .map((part) => part.text)\n 630→ .join('')\n 631→ .trim();\n 632→\n 633→ // Record assistant turn with raw Content and metadata\n 634→ if (thoughtContentPart || contentText || hasToolCall || usageMetadata) {\n 635→ this.chatRecordingService?.recordAssistantTurn({\n 636→ model,\n 637→ message: [\n 638→ ...(thoughtContentPart ? [thoughtContentPart] : []),\n 639→ ...(contentText ? [{ text: contentText }] : []),\n 640→ ...(hasToolCall\n 641→ ? contentParts\n 642→ .filter((part) => part.functionCall)\n 643→ .map((part) => ({ functionCall: part.functionCall }))\n 644→ : []),\n 645→ ],\n 646→ tokens: usageMetadata,\n 647→ });\n 648→ }\n 649→\n 650→ // Stream validation logic: A stream is considered successful if:\n 651→ // 1. There's a tool call (tool calls can end without explicit finish reasons), OR\n 652→ // 2. There's a finish reason AND we have non-empty response text\n 653→ //\n 654→ // We throw an error only when there's no tool call AND:\n 655→ // - No finish reason, OR\n 656→ // - Empty response text (e.g., only thoughts with no actual content)\n 657→ if (!hasToolCall && (!hasFinishReason || !contentText)) {\n 658→ if (!hasFinishReason) {\n 659→ throw new InvalidStreamError(\n 660→ 'Model stream ended without a finish reason.',\n 661→ 'NO_FINISH_REASON',\n 662→ );\n 663→ } else {\n 664→ throw new InvalidStreamError(\n 665→ 'Model stream ended with empty response text.',\n 666→ 'NO_RESPONSE_TEXT',\n 667→ );\n 668→ }\n 669→ }\n 670→\n 671→ this.history.push({\n 672→ role: 'model',\n 673→ parts: [\n 674→ ...(thoughtContentPart ? [thoughtContentPart] : []),\n 675→ ...consolidatedHistoryParts,\n 676→ ],\n 677→ });\n 678→ }\n 679→}\n 680→\n 681→/** Visible for Testing */\n 682→export function isSchemaDepthError(errorMessage: string): boolean {\n 683→ return errorMessage.includes('maximum schema depth exceeded');\n 684→}\n 685→\n 686→export function isInvalidArgumentError(errorMessage: string): boolean {\n 687→ return errorMessage.includes('Request contains an invalid argument');\n 688→}\n 689→\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_01FRxMizcMs1gt93z2tf66ue", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "fd12bb5a-0df0-4659-a5b6-e753d4c75d9e" | |
| } | |
| [2026-02-14T10:48:58.901Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-6", | |
| "id": "msg_014sBbH6PpXcmYPyxbVKKENG", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01U9qN4e9L7gADvDet4Gm1XT", | |
| "name": "Read", | |
| "input": { | |
| "file_path": "/tmp/qwen-code-analysis/packages/core/src/core/openaiContentGenerator/pipeline.ts" | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 1, | |
| "cache_creation_input_tokens": 4322, | |
| "cache_read_input_tokens": 16044, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 4322 | |
| }, | |
| "output_tokens": 1, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": "toolu_01FRxMizcMs1gt93z2tf66ue", | |
| "session_id": "76154483-84eb-4aef-9495-02d86c7cc1ca", | |
| "uuid": "9e7cdc3c-3f7a-46b3-a08c-fd950cc898b2" | |
| } | |
| [2026-02-14T10:48:58.903Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01U9qN4e9L7gADvDet4Gm1XT", | |
| "type": "tool_result", | |
| "content": " 1→/**\n 2→ * @license\n 3→ * Copyright 2025 Qwen\n 4→ * SPDX-License-Identifier: Apache-2.0\n 5→ */\n 6→\n 7→import type OpenAI from 'openai';\n 8→import {\n 9→ type GenerateContentParameters,\n 10→ GenerateContentResponse,\n 11→} from '@google/genai';\n 12→import type { Config } from '../../config/config.js';\n 13→import type { ContentGeneratorConfig } from '../contentGenerator.js';\n 14→import type { OpenAICompatibleProvider } from './provider/index.js';\n 15→import { OpenAIContentConverter } from './converter.js';\n 16→import type { ErrorHandler, RequestContext } from './errorHandler.js';\n 17→\n 18→/**\n 19→ * Error thrown when the API returns an error embedded as stream content\n 20→ * instead of a proper HTTP error. Some providers (e.g., certain OpenAI-compatible\n 21→ * endpoints) return throttling errors as a normal SSE chunk with\n 22→ * finish_reason=\"error_finish\" and the error message in delta.content.\n 23→ */\n 24→export class StreamContentError extends Error {\n 25→ constructor(message: string) {\n 26→ super(message);\n 27→ this.name = 'StreamContentError';\n 28→ }\n 29→}\n 30→\n 31→export interface PipelineConfig {\n 32→ cliConfig: Config;\n 33→ provider: OpenAICompatibleProvider;\n 34→ contentGeneratorConfig: ContentGeneratorConfig;\n 35→ errorHandler: ErrorHandler;\n 36→}\n 37→\n 38→export class ContentGenerationPipeline {\n 39→ client: OpenAI;\n 40→ private converter: OpenAIContentConverter;\n 41→ private contentGeneratorConfig: ContentGeneratorConfig;\n 42→\n 43→ constructor(private config: PipelineConfig) {\n 44→ this.contentGeneratorConfig = config.contentGeneratorConfig;\n 45→ this.client = this.config.provider.buildClient();\n 46→ this.converter = new OpenAIContentConverter(\n 47→ this.contentGeneratorConfig.model,\n 48→ this.contentGeneratorConfig.schemaCompliance,\n 49→ );\n 50→ }\n 51→\n 52→ async execute(\n 53→ request: GenerateContentParameters,\n 54→ userPromptId: string,\n 55→ ): Promise<GenerateContentResponse> {\n 56→ // For OpenAI-compatible providers, the configured model is the single source of truth.\n 57→ // We intentionally ignore request.model because upstream callers may pass a model string\n 58→ // that is not valid/available for the OpenAI-compatible backend.\n 59→ const effectiveModel = this.contentGeneratorConfig.model;\n 60→ this.converter.setModel(effectiveModel);\n 61→ return this.executeWithErrorHandling(\n 62→ request,\n 63→ userPromptId,\n 64→ false,\n 65→ effectiveModel,\n 66→ async (openaiRequest) => {\n 67→ const openaiResponse = (await this.client.chat.completions.create(\n 68→ openaiRequest,\n 69→ {\n 70→ signal: request.config?.abortSignal,\n 71→ },\n 72→ )) as OpenAI.Chat.ChatCompletion;\n 73→\n 74→ const geminiResponse =\n 75→ this.converter.convertOpenAIResponseToGemini(openaiResponse);\n 76→\n 77→ return geminiResponse;\n 78→ },\n 79→ );\n 80→ }\n 81→\n 82→ async executeStream(\n 83→ request: GenerateContentParameters,\n 84→ userPromptId: string,\n 85→ ): Promise<AsyncGenerator<GenerateContentResponse>> {\n 86→ const effectiveModel = this.contentGeneratorConfig.model;\n 87→ this.converter.setModel(effectiveModel);\n 88→ return this.executeWithErrorHandling(\n 89→ request,\n 90→ userPromptId,\n 91→ true,\n 92→ effectiveModel,\n 93→ async (openaiRequest, context) => {\n 94→ // Stage 1: Create OpenAI stream\n 95→ const stream = (await this.client.chat.completions.create(\n 96→ openaiRequest,\n 97→ {\n 98→ signal: request.config?.abortSignal,\n 99→ },\n 100→ )) as AsyncIterable<OpenAI.Chat.ChatCompletionChunk>;\n 101→\n 102→ // Stage 2: Process stream with conversion and logging\n 103→ return this.processStreamWithLogging(stream, context, request);\n 104→ },\n 105→ );\n 106→ }\n 107→\n 108→ /**\n 109→ * Stage 2: Process OpenAI stream with conversion and logging\n 110→ * This method handles the complete stream processing pipeline:\n 111→ * 1. Convert OpenAI chunks to Gemini format while preserving original chunks\n 112→ * 2. Filter empty responses\n 113→ * 3. Handle chunk merging for providers that send finishReason and usageMetadata separately\n 114→ * 4. Collect both formats for logging\n 115→ * 5. Handle success/error logging\n 116→ */\n 117→ private async *processStreamWithLogging(\n 118→ stream: AsyncIterable<OpenAI.Chat.ChatCompletionChunk>,\n 119→ context: RequestContext,\n 120→ request: GenerateContentParameters,\n 121→ ): AsyncGenerator<GenerateContentResponse> {\n 122→ const collectedGeminiResponses: GenerateContentResponse[] = [];\n 123→\n 124→ // Reset streaming tool calls to prevent data pollution from previous streams\n 125→ this.converter.resetStreamingToolCalls();\n 126→\n 127→ // State for handling chunk merging\n 128→ let pendingFinishResponse: GenerateContentResponse | null = null;\n 129→\n 130→ try {\n 131→ // Stage 2a: Convert and yield each chunk while preserving original\n 132→ for await (const chunk of stream) {\n 133→ // Detect API errors returned as stream content.\n 134→ // Some providers return errors (e.g., TPM throttling) as a normal SSE chunk\n 135→ // with finish_reason=\"error_finish\" and the error in delta.content,\n 136→ // instead of returning a proper HTTP error status.\n 137→ if ((chunk.choices?.[0]?.finish_reason as string) === 'error_finish') {\n 138→ const errorContent =\n 139→ chunk.choices?.[0]?.delta?.content?.trim() ||\n 140→ 'Unknown stream error';\n 141→ throw new StreamContentError(errorContent);\n 142→ }\n 143→\n 144→ const response = this.converter.convertOpenAIChunkToGemini(chunk);\n 145→\n 146→ // Stage 2b: Filter empty responses to avoid downstream issues\n 147→ if (\n 148→ response.candidates?.[0]?.content?.parts?.length === 0 &&\n 149→ !response.candidates?.[0]?.finishReason &&\n 150→ !response.usageMetadata\n 151→ ) {\n 152→ continue;\n 153→ }\n 154→\n 155→ // Stage 2c: Handle chunk merging for providers that send finishReason and usageMetadata separately\n 156→ const shouldYield = this.handleChunkMerging(\n 157→ response,\n 158→ collectedGeminiResponses,\n 159→ (mergedResponse) => {\n 160→ pendingFinishResponse = mergedResponse;\n 161→ },\n 162→ );\n 163→\n 164→ if (shouldYield) {\n 165→ // If we have a pending finish response, yield it instead\n 166→ if (pendingFinishResponse) {\n 167→ yield pendingFinishResponse;\n 168→ pendingFinishResponse = null;\n 169→ } else {\n 170→ yield response;\n 171→ }\n 172→ }\n 173→ }\n 174→\n 175→ // Stage 2d: If there's still a pending finish response at the end, yield it\n 176→ if (pendingFinishResponse) {\n 177→ yield pendingFinishResponse;\n 178→ }\n 179→\n 180→ // Stage 2e: Stream completed successfully\n 181→ context.duration = Date.now() - context.startTime;\n 182→ } catch (error) {\n 183→ // Clear streaming tool calls on error to prevent data pollution\n 184→ this.converter.resetStreamingToolCalls();\n 185→\n 186→ // Re-throw StreamContentError directly so it can be handled by\n 187→ // the caller's retry logic (e.g., TPM throttling retry in sendMessageStream)\n 188→ if (error instanceof StreamContentError) {\n 189→ throw error;\n 190→ }\n 191→\n 192→ // Use shared error handling logic\n 193→ await this.handleError(error, context, request);\n 194→ }\n 195→ }\n 196→\n 197→ /**\n 198→ * Handle chunk merging for providers that send finishReason and usageMetadata separately.\n 199→ *\n 200→ * Strategy: When we encounter a finishReason chunk, we hold it and merge all subsequent\n 201→ * chunks into it until the stream ends. This ensures the final chunk contains both\n 202→ * finishReason and the most up-to-date usage information from any provider pattern.\n 203→ *\n 204→ * @param response Current Gemini response\n 205→ * @param collectedGeminiResponses Array to collect responses for logging\n 206→ * @param setPendingFinish Callback to set pending finish response\n 207→ * @returns true if the response should be yielded, false if it should be held for merging\n 208→ */\n 209→ private handleChunkMerging(\n 210→ response: GenerateContentResponse,\n 211→ collectedGeminiResponses: GenerateContentResponse[],\n 212→ setPendingFinish: (response: GenerateContentResponse) => void,\n 213→ ): boolean {\n 214→ const isFinishChunk = response.candidates?.[0]?.finishReason;\n 215→\n 216→ // Check if we have a pending finish response from previous chunks\n 217→ const hasPendingFinish =\n 218→ collectedGeminiResponses.length > 0 &&\n 219→ collectedGeminiResponses[collectedGeminiResponses.length - 1]\n 220→ .candidates?.[0]?.finishReason;\n 221→\n 222→ if (isFinishChunk) {\n 223→ // This is a finish reason chunk\n 224→ collectedGeminiResponses.push(response);\n 225→ setPendingFinish(response);\n 226→ return false; // Don't yield yet, wait for potential subsequent chunks to merge\n 227→ } else if (hasPendingFinish) {\n 228→ // We have a pending finish chunk, merge this chunk's data into it\n 229→ const lastResponse =\n 230→ collectedGeminiResponses[collectedGeminiResponses.length - 1];\n 231→ const mergedResponse = new GenerateContentResponse();\n 232→\n 233→ // Keep the finish reason from the previous chunk\n 234→ mergedResponse.candidates = lastResponse.candidates;\n 235→\n 236→ // Merge usage metadata if this chunk has it\n 237→ if (response.usageMetadata) {\n 238→ mergedResponse.usageMetadata = response.usageMetadata;\n 239→ } else {\n 240→ mergedResponse.usageMetadata = lastResponse.usageMetadata;\n 241→ }\n 242→\n 243→ // Copy other essential properties from the current response\n 244→ mergedResponse.responseId = response.responseId;\n 245→ mergedResponse.createTime = response.createTime;\n 246→ mergedResponse.modelVersion = response.modelVersion;\n 247→ mergedResponse.promptFeedback = response.promptFeedback;\n 248→\n 249→ // Update the collected responses with the merged response\n 250→ collectedGeminiResponses[collectedGeminiResponses.length - 1] =\n 251→ mergedResponse;\n 252→\n 253→ setPendingFinish(mergedResponse);\n 254→ return true; // Yield the merged response\n 255→ }\n 256→\n 257→ // Normal chunk - collect and yield\n 258→ collectedGeminiResponses.push(response);\n 259→ return true;\n 260→ }\n 261→\n 262→ private async buildRequest(\n 263→ request: GenerateContentParameters,\n 264→ userPromptId: string,\n 265→ streaming: boolean = false,\n 266→ effectiveModel: string,\n 267→ ): Promise<OpenAI.Chat.ChatCompletionCreateParams> {\n 268→ const messages = this.converter.convertGeminiRequestToOpenAI(request);\n 269→\n 270→ // Apply provider-specific enhancements\n 271→ const baseRequest: OpenAI.Chat.ChatCompletionCreateParams = {\n 272→ model: effectiveModel,\n 273→ messages,\n 274→ ...this.buildGenerateContentConfig(request),\n 275→ };\n 276→\n 277→ // Add streaming options if present\n 278→ if (streaming) {\n 279→ (\n 280→ baseRequest as unknown as OpenAI.Chat.ChatCompletionCreateParamsStreaming\n 281→ ).stream = true;\n 282→ baseRequest.stream_options = { include_usage: true };\n 283→ }\n 284→\n 285→ // Add tools if present\n 286→ if (request.config?.tools) {\n 287→ baseRequest.tools = await this.converter.convertGeminiToolsToOpenAI(\n 288→ request.config.tools,\n 289→ );\n 290→ }\n 291→\n 292→ // Let provider enhance the request (e.g., add metadata, cache control)\n 293→ return this.config.provider.buildRequest(baseRequest, userPromptId);\n 294→ }\n 295→\n 296→ private buildGenerateContentConfig(\n 297→ request: GenerateContentParameters,\n 298→ ): Record<string, unknown> {\n 299→ const defaultSamplingParams =\n 300→ this.config.provider.getDefaultGenerationConfig();\n 301→ const configSamplingParams = this.contentGeneratorConfig.samplingParams;\n 302→\n 303→ // Helper function to get parameter value with priority: config > request > default\n 304→ const getParameterValue = <T>(\n 305→ configKey: keyof NonNullable<typeof configSamplingParams>,\n 306→ requestKey?: keyof NonNullable<typeof request.config>,\n 307→ ): T | undefined => {\n 308→ const configValue = configSamplingParams?.[configKey] as T | undefined;\n 309→ const requestValue = requestKey\n 310→ ? (request.config?.[requestKey] as T | undefined)\n 311→ : undefined;\n 312→ const defaultValue = requestKey\n 313→ ? (defaultSamplingParams[requestKey] as T)\n 314→ : undefined;\n 315→\n 316→ if (configValue !== undefined) return configValue;\n 317→ if (requestValue !== undefined) return requestValue;\n 318→ return defaultValue;\n 319→ };\n 320→\n 321→ // Helper function to conditionally add parameter if it has a value\n 322→ const addParameterIfDefined = <T>(\n 323→ key: string,\n 324→ configKey: keyof NonNullable<typeof configSamplingParams>,\n 325→ requestKey?: keyof NonNullable<typeof request.config>,\n 326→ ): Record<string, T | undefined> => {\n 327→ const value = getParameterValue<T>(configKey, requestKey);\n 328→\n 329→ return value !== undefined ? { [key]: value } : {};\n 330→ };\n 331→\n 332→ const params: Record<string, unknown> = {\n 333→ // Parameters with request fallback but no defaults\n 334→ ...addParameterIfDefined('temperature', 'temperature', 'temperature'),\n 335→ ...addParameterIfDefined('top_p', 'top_p', 'topP'),\n 336→\n 337→ // Max tokens (special case: different property names)\n 338→ ...addParameterIfDefined('max_tokens', 'max_tokens', 'maxOutputTokens'),\n 339→\n 340→ // Config-only parameters (no request fallback)\n 341→ ...addParameterIfDefined('top_k', 'top_k', 'topK'),\n 342→ ...addParameterIfDefined('repetition_penalty', 'repetition_penalty'),\n 343→ ...addParameterIfDefined(\n 344→ 'presence_penalty',\n 345→ 'presence_penalty',\n 346→ 'presencePenalty',\n 347→ ),\n 348→ ...addParameterIfDefined(\n 349→ 'frequency_penalty',\n 350→ 'frequency_penalty',\n 351→ 'frequencyPenalty',\n 352→ ),\n 353→ ...this.buildReasoningConfig(request),\n 354→ };\n 355→\n 356→ return params;\n 357→ }\n 358→\n 359→ private buildReasoningConfig(\n 360→ request: GenerateContentParameters,\n 361→ ): Record<string, unknown> {\n 362→ // Reasoning configuration for OpenAI-compatible endpoints is highly fragmented.\n 363→ // For example, across common providers and models:\n 364→ //\n 365→ // - deepseek-reasoner — thinking is enabled by default and cannot be disabled\n 366→ // - glm-4.7 — thinking is enabled by default; can be disabled via `extra_body.thinking.enabled`\n 367→ // - kimi-k2-thinking — thinking is enabled by default and cannot be disabled\n 368→ // - gpt-5.x series — thinking is enabled by default; can be disabled via `reasoning.effort`\n 369→ // - qwen3 series — model-dependent; can be manually disabled via `extra_body.enable_thinking`\n 370→ //\n 371→ // Given this inconsistency, we avoid mapping values and only pass through the\n 372→ // configured reasoning object when explicitly enabled. This keeps provider- and\n 373→ // model-specific semantics intact while honoring request-level opt-out.\n 374→\n 375→ if (request.config?.thinkingConfig?.includeThoughts === false) {\n 376→ return {};\n 377→ }\n 378→\n 379→ const reasoning = this.contentGeneratorConfig.reasoning;\n 380→\n 381→ if (reasoning === false || reasoning === undefined) {\n 382→ return {};\n 383→ }\n 384→\n 385→ return { reasoning };\n 386→ }\n 387→\n 388→ /**\n 389→ * Common error handling wrapper for execute methods\n 390→ */\n 391→ private async executeWithErrorHandling<T>(\n 392→ request: GenerateContentParameters,\n 393→ userPromptId: string,\n 394→ isStreaming: boolean,\n 395→ effectiveModel: string,\n 396→ executor: (\n 397→ openaiRequest: OpenAI.Chat.ChatCompletionCreateParams,\n 398→ context: RequestContext,\n 399→ ) => Promise<T>,\n 400→ ): Promise<T> {\n 401→ const context = this.createRequestContext(\n 402→ userPromptId,\n 403→ isStreaming,\n 404→ effectiveModel,\n 405→ );\n 406→\n 407→ try {\n 408→ const openaiRequest = await this.buildRequest(\n 409→ request,\n 410→ userPromptId,\n 411→ isStreaming,\n 412→ effectiveModel,\n 413→ );\n 414→\n 415→ const result = await executor(openaiRequest, context);\n 416→\n 417→ context.duration = Date.now() - context.startTime;\n 418→ return result;\n 419→ } catch (error) {\n 420→ // Use shared error handling logic\n 421→ return await this.handleError(error, context, request);\n 422→ }\n 423→ }\n 424→\n 425→ /**\n 426→ * Shared error handling logic for both executeWithErrorHandling and processStreamWithLogging\n 427→ * This centralizes the common error processing steps to avoid duplication\n 428→ */\n 429→ private async handleError(\n 430→ error: unknown,\n 431→ context: RequestContext,\n 432→ request: GenerateContentParameters,\n 433→ ): Promise<never> {\n 434→ context.duration = Date.now() - context.startTime;\n 435→ this.config.errorHandler.handle(error, context, request);\n 436→ }\n 437→\n 438→ /**\n 439→ * Create request context with common properties\n 440→ */\n 441→ private createRequestContext(\n 442→ userPromptId: string,\n 443→ isStreaming: boolean,\n 444→ effectiveModel: string,\n 445→ ): RequestContext {\n 446→ return {\n 447→ userPromptId,\n 448→ model: effectiveModel,\n 449→ authType: this.contentGeneratorConfig.authType || 'unknown',\n 450→ startTime: Date.now(),\n 451→ duration: 0,\n 452→ isStreaming,\n 453→ };\n 454→ }\n 455→}\n 456→\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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| [2026-02-14T10:48:59.465Z] [INFO] { | |
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| "content": " 1→/**\n 2→ * @license\n 3→ * Copyright 2025 Qwen\n 4→ * SPDX-License-Identifier: Apache-2.0\n 5→ */\n 6→\n 7→import type { GenerateContentParameters } from '@google/genai';\n 8→import { createDebugLogger } from '../../utils/debugLogger.js';\n 9→\n 10→const debugLogger = createDebugLogger('OPENAI_ERROR');\n 11→\n 12→export interface RequestContext {\n 13→ userPromptId: string;\n 14→ model: string;\n 15→ authType: string;\n 16→ startTime: number;\n 17→ duration: number;\n 18→ isStreaming: boolean;\n 19→}\n 20→\n 21→export interface ErrorHandler {\n 22→ handle(\n 23→ error: unknown,\n 24→ context: RequestContext,\n 25→ request: GenerateContentParameters,\n 26→ ): never;\n 27→ shouldSuppressErrorLogging(\n 28→ error: unknown,\n 29→ request: GenerateContentParameters,\n 30→ ): boolean;\n 31→}\n 32→\n 33→export class EnhancedErrorHandler implements ErrorHandler {\n 34→ constructor(\n 35→ private shouldSuppressLogging: (\n 36→ error: unknown,\n 37→ request: GenerateContentParameters,\n 38→ ) => boolean = () => false,\n 39→ ) {}\n 40→\n 41→ handle(\n 42→ error: unknown,\n 43→ context: RequestContext,\n 44→ request: GenerateContentParameters,\n 45→ ): never {\n 46→ const isTimeoutError = this.isTimeoutError(error);\n 47→ const errorMessage = this.buildErrorMessage(error, context, isTimeoutError);\n 48→\n 49→ // Allow subclasses to suppress error logging for specific scenarios\n 50→ if (!this.shouldSuppressErrorLogging(error, request)) {\n 51→ const logPrefix = context.isStreaming\n 52→ ? 'OpenAI API Streaming Error:'\n 53→ : 'OpenAI API Error:';\n 54→ debugLogger.error(logPrefix, errorMessage);\n 55→ }\n 56→\n 57→ // Provide helpful timeout-specific error message\n 58→ if (isTimeoutError) {\n 59→ throw new Error(\n 60→ `${errorMessage}\\n\\n${this.getTimeoutTroubleshootingTips(context)}`,\n 61→ );\n 62→ }\n 63→\n 64→ throw error;\n 65→ }\n 66→\n 67→ shouldSuppressErrorLogging(\n 68→ error: unknown,\n 69→ request: GenerateContentParameters,\n 70→ ): boolean {\n 71→ return this.shouldSuppressLogging(error, request);\n 72→ }\n 73→\n 74→ private isTimeoutError(error: unknown): boolean {\n 75→ if (!error) return false;\n 76→\n 77→ const errorMessage =\n 78→ error instanceof Error\n 79→ ? error.message.toLowerCase()\n 80→ : String(error).toLowerCase();\n 81→ // eslint-disable-next-line @typescript-eslint/no-explicit-any\n 82→ const errorCode = (error as any)?.code;\n 83→ // eslint-disable-next-line @typescript-eslint/no-explicit-any\n 84→ const errorType = (error as any)?.type;\n 85→\n 86→ // Check for common timeout indicators\n 87→ return (\n 88→ errorMessage.includes('timeout') ||\n 89→ errorMessage.includes('timed out') ||\n 90→ errorMessage.includes('connection timeout') ||\n 91→ errorMessage.includes('request timeout') ||\n 92→ errorMessage.includes('read timeout') ||\n 93→ errorMessage.includes('etimedout') ||\n 94→ errorMessage.includes('esockettimedout') ||\n 95→ errorCode === 'ETIMEDOUT' ||\n 96→ errorCode === 'ESOCKETTIMEDOUT' ||\n 97→ errorType === 'timeout' ||\n 98→ errorMessage.includes('request timed out') ||\n 99→ errorMessage.includes('deadline exceeded')\n 100→ );\n 101→ }\n 102→\n 103→ private buildErrorMessage(\n 104→ error: unknown,\n 105→ context: RequestContext,\n 106→ isTimeoutError: boolean,\n 107→ ): string {\n 108→ const durationSeconds = Math.round(context.duration / 1000);\n 109→\n 110→ if (isTimeoutError) {\n 111→ const prefix = context.isStreaming\n 112→ ? 'Streaming request timeout'\n 113→ : 'Request timeout';\n 114→ return `${prefix} after ${durationSeconds}s. Try reducing input length or increasing timeout in config.`;\n 115→ }\n 116→\n 117→ return error instanceof Error ? error.message : String(error);\n 118→ }\n 119→\n 120→ private getTimeoutTroubleshootingTips(context: RequestContext): string {\n 121→ const baseTitle = context.isStreaming\n 122→ ? 'Streaming timeout troubleshooting:'\n 123→ : 'Troubleshooting tips:';\n 124→\n 125→ const baseTips = [\n 126→ '- Reduce input length or complexity',\n 127→ '- Increase timeout in config: contentGenerator.timeout',\n 128→ '- Check network connectivity',\n 129→ ];\n 130→\n 131→ const streamingSpecificTips = context.isStreaming\n 132→ ? [\n 133→ '- Check network stability for streaming connections',\n 134→ '- Consider using non-streaming mode for very long inputs',\n 135→ ]\n 136→ : ['- Consider using streaming mode for long responses'];\n 137→\n 138→ return `${baseTitle}\\n${[...baseTips, ...streamingSpecificTips].join('\\n')}`;\n 139→ }\n 140→}\n 141→\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": "14:| OpenRouter | `openrouter/<provider>/<model>` | `OPENROUTER_API_KEY` | [OpenRouter Documentation](docs/openrouter.md) |\n169:## OpenRouter Provider\n171:[OpenRouter](https://openrouter.ai/) provides unified access to hundreds of AI models from multiple providers including OpenAI, Anthropic, Google, Meta, and more. To use OpenRouter models, set your API key:\n177:### OpenRouter Models\n181:| Claude Sonnet 4 | `openrouter/anthropic/claude-sonnet-4` | 200,000 tokens | Yes |\n182:| Claude Sonnet 4.5 | `openrouter/anthropic/claude-sonnet-4-5` | 200,000 tokens | Yes |\n183:| GPT-4o | `openrouter/openai/gpt-4o` | 128,000 tokens | Yes |\n184:| GPT-4o Mini | `openrouter/openai/gpt-4o-mini` | 128,000 tokens | Yes |\n185:| Llama 3.3 70B | `openrouter/meta-llama/llama-3.3-70b` | 131,072 tokens | Yes |\n186:| Gemini 2.0 Flash | `openrouter/google/gemini-2.0-flash` | 1,000,000 tokens | Yes |\n187:| DeepSeek V3 | `openrouter/deepseek/deepseek-chat` | 64,000 tokens | Yes |\n189:### OpenRouter Usage Examples\n192:# Using Claude Sonnet 4 via OpenRouter\n193:echo \"hello\" | agent --model openrouter/anthropic/claude-sonnet-4\n195:# Using GPT-4o via OpenRouter\n196:echo \"hello\" | agent --model openrouter/openai/gpt-4o\n198:# Using Llama 3.3 70B via OpenRouter\n199:echo \"hello\" | agent --model openrouter/meta-llama/llama-3.3-70b\n202:echo \"hello\" | agent --model openrouter/meta-llama/llama-3.1-8b:free\n205:For more details, see the [OpenRouter Documentation](docs/openrouter.md).", | |
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| "content": " 1→/**\n 2→ * @license\n 3→ * Copyright 2025 Google LLC\n 4→ * SPDX-License-Identifier: Apache-2.0\n 5→ */\n 6→\n 7→interface GaxiosError {\n 8→ response?: {\n 9→ data?: unknown;\n 10→ };\n 11→}\n 12→\n 13→export function isNodeError(error: unknown): error is NodeJS.ErrnoException {\n 14→ return error instanceof Error && 'code' in error;\n 15→}\n 16→\n 17→/**\n 18→ * Check if the error is an abort error (user cancellation).\n 19→ * This handles both DOMException-style AbortError and Node.js abort errors.\n 20→ */\n 21→export function isAbortError(error: unknown): boolean {\n 22→ if (!error || typeof error !== 'object') {\n 23→ return false;\n 24→ }\n 25→\n 26→ // Check for AbortError by name (standard DOMException and custom AbortError)\n 27→ if (error instanceof Error && error.name === 'AbortError') {\n 28→ return true;\n 29→ }\n 30→\n 31→ // Check for Node.js abort error code\n 32→ if (isNodeError(error) && error.code === 'ABORT_ERR') {\n 33→ return true;\n 34→ }\n 35→\n 36→ return false;\n 37→}\n 38→\n 39→export function getErrorMessage(error: unknown): string {\n 40→ if (error instanceof Error) {\n 41→ return error.message;\n 42→ }\n 43→ try {\n 44→ return String(error);\n 45→ } catch {\n 46→ return 'Failed to get error details';\n 47→ }\n 48→}\n 49→\n 50→export class FatalError extends Error {\n 51→ constructor(\n 52→ message: string,\n 53→ readonly exitCode: number,\n 54→ ) {\n 55→ super(message);\n 56→ }\n 57→}\n 58→\n 59→export class FatalAuthenticationError extends FatalError {\n 60→ constructor(message: string) {\n 61→ super(message, 41);\n 62→ }\n 63→}\n 64→export class FatalInputError extends FatalError {\n 65→ constructor(message: string) {\n 66→ super(message, 42);\n 67→ }\n 68→}\n 69→export class FatalSandboxError extends FatalError {\n 70→ constructor(message: string) {\n 71→ super(message, 44);\n 72→ }\n 73→}\n 74→export class FatalConfigError extends FatalError {\n 75→ constructor(message: string) {\n 76→ super(message, 52);\n 77→ }\n 78→}\n 79→export class FatalTurnLimitedError extends FatalError {\n 80→ constructor(message: string) {\n 81→ super(message, 53);\n 82→ }\n 83→}\n 84→export class FatalToolExecutionError extends FatalError {\n 85→ constructor(message: string) {\n 86→ super(message, 54);\n 87→ }\n 88→}\n 89→export class FatalCancellationError extends FatalError {\n 90→ constructor(message: string) {\n 91→ super(message, 130); // Standard exit code for SIGINT\n 92→ }\n 93→}\n 94→\n 95→export class ForbiddenError extends Error {}\n 96→export class UnauthorizedError extends Error {}\n 97→export class BadRequestError extends Error {}\n 98→\n 99→interface ResponseData {\n 100→ error?: {\n 101→ code?: number;\n 102→ message?: string;\n 103→ };\n 104→}\n 105→\n 106→export function toFriendlyError(error: unknown): unknown {\n 107→ if (error && typeof error === 'object' && 'response' in error) {\n 108→ const gaxiosError = error as GaxiosError;\n 109→ const data = parseResponseData(gaxiosError);\n 110→ if (data.error && data.error.message && data.error.code) {\n 111→ switch (data.error.code) {\n 112→ case 400:\n 113→ return new BadRequestError(data.error.message);\n 114→ case 401:\n 115→ return new UnauthorizedError(data.error.message);\n 116→ case 403:\n 117→ // It's import to pass the message here since it might\n 118→ // explain the cause like \"the cloud project you're\n 119→ // using doesn't have code assist enabled\".\n 120→ return new ForbiddenError(data.error.message);\n 121→ default:\n 122→ }\n 123→ }\n 124→ }\n 125→ return error;\n 126→}\n 127→\n 128→function parseResponseData(error: GaxiosError): ResponseData {\n 129→ // Inexplicably, Gaxios sometimes doesn't JSONify the response data.\n 130→ if (typeof error.response?.data === 'string') {\n 131→ return JSON.parse(error.response?.data) as ResponseData;\n 132→ }\n 133→ return error.response?.data as ResponseData;\n 134→}\n 135→\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→# OpenRouter Provider\n 2→\n 3→[OpenRouter](https://openrouter.ai/) is a unified API that provides access to hundreds of AI models from multiple providers including OpenAI, Anthropic, Google, Meta, Mistral, and many more. This guide explains how to use OpenRouter with @link-assistant/agent.\n 4→\n 5→## Quick Start\n 6→\n 7→1. Get your API key from [openrouter.ai/keys](https://openrouter.ai/keys)\n 8→2. Set the environment variable:\n 9→ ```bash\n 10→ export OPENROUTER_API_KEY=your_api_key_here\n 11→ ```\n 12→3. Run the agent with an OpenRouter model:\n 13→ ```bash\n 14→ echo \"hi\" | agent --model openrouter/anthropic/claude-sonnet-4\n 15→ ```\n 16→\n 17→> **Important**: Always use the full model format `openrouter/<vendor>/<model>`. See [Common Mistakes](#common-mistakes) section below for details.\n 18→\n 19→## Common Mistakes\n 20→\n 21→### Missing the `openrouter/` prefix\n 22→\n 23→The most common error is omitting the `openrouter/` prefix from the model ID:\n 24→\n 25→```bash\n 26→# ❌ Wrong - will cause ProviderModelNotFoundError\n 27→agent --model z-ai/glm-4.7\n 28→agent --model anthropic/claude-sonnet-4\n 29→\n 30→# ✅ Correct - includes openrouter/ prefix\n 31→agent --model openrouter/z-ai/glm-4.7\n 32→agent --model openrouter/anthropic/claude-sonnet-4\n 33→```\n 34→\n 35→**Why this happens**: The agent parses the model string by the first `/` as the provider. So `z-ai/glm-4.7` is interpreted as provider=`z-ai`, model=`glm-4.7`. Since \"z-ai\" isn't a registered provider, you get an error.\n 36→\n 37→**The fix**: Always prefix OpenRouter models with `openrouter/`.\n 38→\n 39→## Why OpenRouter?\n 40→\n 41→OpenRouter offers several advantages:\n 42→\n 43→- **One API for all models**: Access OpenAI, Anthropic, Google, Meta, Mistral, and 100+ other models with a single API key\n 44→- **Automatic fallbacks**: Configure fallback models if your primary model is unavailable\n 45→- **Unified billing**: Pay for all models through one account\n 46→- **Competitive pricing**: Often lower prices than direct API access\n 47→- **No rate limits**: Higher rate limits compared to some direct providers\n 48→- **Model routing**: Automatically route to the cheapest or fastest provider for a model\n 49→\n 50→## Available Models\n 51→\n 52→OpenRouter provides access to hundreds of models. Below are some popular options:\n 53→\n 54→### Claude Models (Anthropic)\n 55→\n 56→| Model | Model ID | Context Window | Tool Use |\n 57→| ----------------- | ---------------------------------------- | -------------- | -------- |\n 58→| Claude Sonnet 4 | `openrouter/anthropic/claude-sonnet-4` | 200,000 tokens | Yes |\n 59→| Claude Sonnet 4.5 | `openrouter/anthropic/claude-sonnet-4-5` | 200,000 tokens | Yes |\n 60→| Claude Opus 4 | `openrouter/anthropic/claude-opus-4` | 200,000 tokens | Yes |\n 61→| Claude Haiku 3.5 | `openrouter/anthropic/claude-3-5-haiku` | 200,000 tokens | Yes |\n 62→\n 63→### GPT Models (OpenAI)\n 64→\n 65→| Model | Model ID | Context Window | Tool Use |\n 66→| ----------- | ------------------------------- | -------------- | -------- |\n 67→| GPT-4o | `openrouter/openai/gpt-4o` | 128,000 tokens | Yes |\n 68→| GPT-4o Mini | `openrouter/openai/gpt-4o-mini` | 128,000 tokens | Yes |\n 69→| GPT-4 Turbo | `openrouter/openai/gpt-4-turbo` | 128,000 tokens | Yes |\n 70→| o1 | `openrouter/openai/o1` | 200,000 tokens | Yes |\n 71→| o1-mini | `openrouter/openai/o1-mini` | 128,000 tokens | Yes |\n 72→\n 73→### Gemini Models (Google)\n 74→\n 75→| Model | Model ID | Context Window | Tool Use |\n 76→| ---------------- | ------------------------------------ | ---------------- | -------- |\n 77→| Gemini 2.0 Flash | `openrouter/google/gemini-2.0-flash` | 1,000,000 tokens | Yes |\n 78→| Gemini 1.5 Pro | `openrouter/google/gemini-pro-1.5` | 2,000,000 tokens | Yes |\n 79→| Gemini 1.5 Flash | `openrouter/google/gemini-flash-1.5` | 1,000,000 tokens | Yes |\n 80→\n 81→### Llama Models (Meta)\n 82→\n 83→| Model | Model ID | Context Window | Tool Use |\n 84→| -------------- | -------------------------------------- | -------------- | -------- |\n 85→| Llama 3.3 70B | `openrouter/meta-llama/llama-3.3-70b` | 131,072 tokens | Yes |\n 86→| Llama 3.1 405B | `openrouter/meta-llama/llama-3.1-405b` | 131,072 tokens | Yes |\n 87→| Llama 3.1 70B | `openrouter/meta-llama/llama-3.1-70b` | 131,072 tokens | Yes |\n 88→| Llama 3.1 8B | `openrouter/meta-llama/llama-3.1-8b` | 131,072 tokens | Yes |\n 89→\n 90→### Mistral Models\n 91→\n 92→| Model | Model ID | Context Window | Tool Use |\n 93→| -------------- | ------------------------------------- | -------------- | -------- |\n 94→| Mistral Large | `openrouter/mistralai/mistral-large` | 128,000 tokens | Yes |\n 95→| Mistral Medium | `openrouter/mistralai/mistral-medium` | 32,000 tokens | Yes |\n 96→| Mixtral 8x22B | `openrouter/mistralai/mixtral-8x22b` | 65,536 tokens | Yes |\n 97→| Codestral | `openrouter/mistralai/codestral` | 32,000 tokens | Yes |\n 98→\n 99→### DeepSeek Models\n 100→\n 101→| Model | Model ID | Context Window | Tool Use |\n 102→| ----------- | ----------------------------------- | -------------- | -------- |\n 103→| DeepSeek V3 | `openrouter/deepseek/deepseek-chat` | 64,000 tokens | Yes |\n 104→| DeepSeek R1 | `openrouter/deepseek/deepseek-r1` | 64,000 tokens | Yes |\n 105→\n 106→### Free Models\n 107→\n 108→OpenRouter offers some models for free (with rate limits):\n 109→\n 110→| Model | Model ID | Context Window |\n 111→| ------------------- | -------------------------------------------- | -------------- |\n 112→| Llama 3.1 8B (Free) | `openrouter/meta-llama/llama-3.1-8b:free` | 131,072 tokens |\n 113→| Gemma 2 9B (Free) | `openrouter/google/gemma-2-9b-it:free` | 8,192 tokens |\n 114→| Phi-3 Mini (Free) | `openrouter/microsoft/phi-3-mini-128k:free` | 128,000 tokens |\n 115→| Qwen 2.5 72B (Free) | `openrouter/qwen/qwen-2.5-72b-instruct:free` | 32,768 tokens |\n 116→\n 117→> **Note**: Free models have rate limits. Check [openrouter.ai/models](https://openrouter.ai/models) for current availability.\n 118→\n 119→## Usage Examples\n 120→\n 121→### Basic Usage\n 122→\n 123→```bash\n 124→# Using Claude Sonnet 4 via OpenRouter\n 125→echo \"What is the capital of France?\" | agent --model openrouter/anthropic/claude-sonnet-4\n 126→\n 127→# Using GPT-4o via OpenRouter\n 128→echo \"Write a haiku about programming\" | agent --model openrouter/openai/gpt-4o\n 129→\n 130→# Using a free model\n 131→echo \"Hello!\" | agent --model openrouter/meta-llama/llama-3.1-8b:free\n 132→```\n 133→\n 134→### Tool Use Examples\n 135→\n 136→OpenRouter models support tool use / function calling, which allows the agent to execute tools like bash commands, file operations, and web searches:\n 137→\n 138→```bash\n 139→# Tool use with file operations\n 140→echo \"List the files in the current directory\" | agent --model openrouter/anthropic/claude-sonnet-4\n 141→\n 142→# Tool use with bash commands\n 143→echo '{\"message\":\"run ls -la\",\"tools\":[{\"name\":\"bash\",\"params\":{\"command\":\"ls -la\"}}]}' | agent --model openrouter/openai/gpt-4o\n 144→```\n 145→\n 146→### JSON Input/Output\n 147→\n 148→```bash\n 149→# JSON input\n 150→echo '{\"message\":\"hello world\"}' | agent --model openrouter/anthropic/claude-sonnet-4\n 151→\n 152→# With Claude-compatible output format\n 153→echo \"hi\" | agent --model openrouter/anthropic/claude-sonnet-4 --json-standard claude\n 154→```\n 155→\n 156→## Tool Use Support\n 157→\n 158→Most models on OpenRouter support tool use (function calling). The agent's 13 tools work with OpenRouter models:\n 159→\n 160→- **File Operations**: `read`, `write`, `edit`, `list`\n 161→- **Search Tools**: `glob`, `grep`, `websearch`, `codesearch`\n 162→- **Execution Tools**: `bash`, `batch`, `task`\n 163→- **Utility Tools**: `todo`, `webfetch`\n 164→\n 165→### Recommended Models for Tool Use\n 166→\n 167→For best tool use performance, we recommend:\n 168→\n 169→1. **Claude Sonnet 4 / 4.5** - Excellent tool use capabilities\n 170→2. **GPT-4o** - Strong function calling support\n 171→3. **Gemini 2.0 Flash** - Fast with good tool support\n 172→4. **Llama 3.3 70B** - Best open-source option for tools\n 173→\n 174→## Authentication\n 175→\n 176→### Using Environment Variable (Recommended)\n 177→\n 178→```bash\n 179→export OPENROUTER_API_KEY=your_api_key_here\n 180→echo \"hello\" | agent --model openrouter/anthropic/claude-sonnet-4\n 181→```\n 182→\n 183→### Using Auth Command\n 184→\n 185→```bash\n 186→# Interactive login\n 187→agent auth login\n 188→# Select: OpenRouter\n 189→# Enter your API key when prompted\n 190→\n 191→# Verify credentials\n 192→agent auth list\n 193→```\n 194→\n 195→## Pricing\n 196→\n 197→OpenRouter offers pay-as-you-go pricing with no minimum commitment. Prices vary by model and are often competitive with or lower than direct API access.\n 198→\n 199→Key benefits:\n 200→\n 201→- **Pay per token**: Only pay for what you use\n 202→- **No subscriptions required**: Unlike Claude Pro/Max or ChatGPT Plus\n 203→- **Transparent pricing**: See prices for all models at [openrouter.ai/models](https://openrouter.ai/models)\n 204→- **Free credits**: New accounts often receive free credits to get started\n 205→\n 206→Check [openrouter.ai/models](https://openrouter.ai/models) for current pricing on all models.\n 207→\n 208→## Environment Variables\n 209→\n 210→| Variable | Description |\n 211→| -------------------- | ----------------------------------------------------------------------------- |\n 212→| `OPENROUTER_API_KEY` | Your OpenRouter API key from [openrouter.ai/keys](https://openrouter.ai/keys) |\n 213→\n 214→## Configuration\n 215→\n 216→You can also configure OpenRouter in your OpenCode configuration file (`~/.config/opencode/opencode.json`):\n 217→\n 218→```json\n 219→{\n 220→ \"provider\": {\n 221→ \"openrouter\": {\n 222→ \"options\": {\n 223→ \"apiKey\": \"your_api_key_here\"\n 224→ }\n 225→ }\n 226→ }\n 227→}\n 228→```\n 229→\n 230→## Model ID Format\n 231→\n 232→OpenRouter model IDs follow this format:\n 233→\n 234→```\n 235→openrouter/<provider>/<model-name>\n 236→```\n 237→\n 238→Examples:\n 239→\n 240→- `openrouter/anthropic/claude-sonnet-4`\n 241→- `openrouter/openai/gpt-4o`\n 242→- `openrouter/meta-llama/llama-3.3-70b`\n 243→- `openrouter/google/gemini-2.0-flash`\n 244→\n 245→For free models, append `:free`:\n 246→\n 247→- `openrouter/meta-llama/llama-3.1-8b:free`\n 248→\n 249→## Advanced Features\n 250→\n 251→### Caching Support\n 252→\n 253→OpenRouter supports prompt caching for compatible models (like Claude). The agent automatically enables caching when available, which can reduce costs for repeated prompts.\n 254→\n 255→### Custom Headers\n 256→\n 257→The agent automatically includes required headers for OpenRouter:\n 258→\n 259→- `HTTP-Referer`: Application identifier\n 260→- `X-Title`: Application name\n 261→\n 262→These headers help OpenRouter track usage and may be required for some features.\n 263→\n 264→## Troubleshooting\n 265→\n 266→### \"Invalid API key\"\n 267→\n 268→- Verify your API key at [openrouter.ai/keys](https://openrouter.ai/keys)\n 269→- Ensure `OPENROUTER_API_KEY` is set correctly\n 270→- Try `agent auth logout` and `agent auth login` to re-authenticate\n 271→\n 272→### \"ProviderModelNotFoundError\" or \"Model not found\"\n 273→\n 274→**Most common cause**: Missing the `openrouter/` prefix.\n 275→\n 276→```bash\n 277→# Wrong - will give ProviderModelNotFoundError\n 278→agent --model z-ai/glm-4.7\n 279→agent --model anthropic/claude-sonnet-4\n 280→\n 281→# Correct - includes openrouter/ prefix\n 282→agent --model openrouter/z-ai/glm-4.7\n 283→agent --model openrouter/anthropic/claude-sonnet-4\n 284→```\n 285→\n 286→**Note**: When you omit the `openrouter/` prefix, the agent interprets the first part of the model ID as a provider name. For example, `z-ai/glm-4.7` is parsed as provider=`z-ai` and model=`glm-4.7`, but there's no provider called \"z-ai\" - the provider is \"openrouter\".\n 287→\n 288→Other solutions:\n 289→\n 290→- Verify the model is available at [openrouter.ai/models](https://openrouter.ai/models)\n 291→- Some models may require additional verification or payment\n 292→\n 293→### \"Rate limit exceeded\"\n 294→\n 295→- Free models have strict rate limits\n 296→- Consider upgrading to a paid model or adding credits\n 297→- Wait a few minutes and try again\n 298→\n 299→### \"Insufficient credits\"\n 300→\n 301→- Add credits at [openrouter.ai/credits](https://openrouter.ai/credits)\n 302→- Check your usage at [openrouter.ai/activity](https://openrouter.ai/activity)\n 303→\n 304→## More Information\n 305→\n 306→- [OpenRouter Documentation](https://openrouter.ai/docs)\n 307→- [Available Models](https://openrouter.ai/models)\n 308→- [API Reference](https://openrouter.ai/docs/api-reference)\n 309→- [Pricing](https://openrouter.ai/docs/pricing)\n 310→- [Rate Limits](https://openrouter.ai/docs/rate-limits)\n 311→\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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| "tool_use_id": "toolu_019WtVgnp3Q95q7hUixuXy6G", | |
| "type": "tool_result", | |
| "content": " 1→/**\n 2→ * @license\n 3→ * Copyright 2025 Google LLC\n 4→ * SPDX-License-Identifier: Apache-2.0\n 5→ */\n 6→\n 7→import type { GenerateContentResponse } from '@google/genai';\n 8→import { AuthType } from '../core/contentGenerator.js';\n 9→import { isQwenQuotaExceededError } from './quotaErrorDetection.js';\n 10→import { createDebugLogger } from './debugLogger.js';\n 11→\n 12→const debugLogger = createDebugLogger('RETRY');\n 13→\n 14→export interface HttpError extends Error {\n 15→ status?: number;\n 16→}\n 17→\n 18→export interface RetryOptions {\n 19→ maxAttempts: number;\n 20→ initialDelayMs: number;\n 21→ maxDelayMs: number;\n 22→ shouldRetryOnError: (error: Error) => boolean;\n 23→ shouldRetryOnContent?: (content: GenerateContentResponse) => boolean;\n 24→ authType?: string;\n 25→}\n 26→\n 27→const DEFAULT_RETRY_OPTIONS: RetryOptions = {\n 28→ maxAttempts: 7,\n 29→ initialDelayMs: 1500,\n 30→ maxDelayMs: 30000, // 30 seconds\n 31→ shouldRetryOnError: defaultShouldRetry,\n 32→};\n 33→\n 34→/**\n 35→ * Default predicate function to determine if a retry should be attempted.\n 36→ * Retries on 429 (Too Many Requests) and 5xx server errors.\n 37→ * @param error The error object.\n 38→ * @returns True if the error is a transient error, false otherwise.\n 39→ */\n 40→function defaultShouldRetry(error: Error | unknown): boolean {\n 41→ const status = getErrorStatus(error);\n 42→ return (\n 43→ status === 429 || (status !== undefined && status >= 500 && status < 600)\n 44→ );\n 45→}\n 46→\n 47→/**\n 48→ * Delays execution for a specified number of milliseconds.\n 49→ * @param ms The number of milliseconds to delay.\n 50→ * @returns A promise that resolves after the delay.\n 51→ */\n 52→function delay(ms: number): Promise<void> {\n 53→ return new Promise((resolve) => setTimeout(resolve, ms));\n 54→}\n 55→\n 56→/**\n 57→ * Retries a function with exponential backoff and jitter.\n 58→ * @param fn The asynchronous function to retry.\n 59→ * @param options Optional retry configuration.\n 60→ * @returns A promise that resolves with the result of the function if successful.\n 61→ * @throws The last error encountered if all attempts fail.\n 62→ */\n 63→export async function retryWithBackoff<T>(\n 64→ fn: () => Promise<T>,\n 65→ options?: Partial<RetryOptions>,\n 66→): Promise<T> {\n 67→ if (options?.maxAttempts !== undefined && options.maxAttempts <= 0) {\n 68→ throw new Error('maxAttempts must be a positive number.');\n 69→ }\n 70→\n 71→ const cleanOptions = options\n 72→ ? Object.fromEntries(Object.entries(options).filter(([_, v]) => v != null))\n 73→ : {};\n 74→\n 75→ const {\n 76→ maxAttempts,\n 77→ initialDelayMs,\n 78→ maxDelayMs,\n 79→ authType,\n 80→ shouldRetryOnError,\n 81→ shouldRetryOnContent,\n 82→ } = {\n 83→ ...DEFAULT_RETRY_OPTIONS,\n 84→ ...cleanOptions,\n 85→ };\n 86→\n 87→ let attempt = 0;\n 88→ let currentDelay = initialDelayMs;\n 89→\n 90→ while (attempt < maxAttempts) {\n 91→ attempt++;\n 92→ try {\n 93→ const result = await fn();\n 94→\n 95→ if (\n 96→ shouldRetryOnContent &&\n 97→ shouldRetryOnContent(result as GenerateContentResponse)\n 98→ ) {\n 99→ const jitter = currentDelay * 0.3 * (Math.random() * 2 - 1);\n 100→ const delayWithJitter = Math.max(0, currentDelay + jitter);\n 101→ await delay(delayWithJitter);\n 102→ currentDelay = Math.min(maxDelayMs, currentDelay * 2);\n 103→ continue;\n 104→ }\n 105→\n 106→ return result;\n 107→ } catch (error) {\n 108→ const errorStatus = getErrorStatus(error);\n 109→\n 110→ // Check for Qwen OAuth quota exceeded error - throw immediately without retry\n 111→ if (authType === AuthType.QWEN_OAUTH && isQwenQuotaExceededError(error)) {\n 112→ throw |
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