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February 15, 2026 09:01
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Solution draft log for https://github.com/link-assistant/agent/pull/178
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| # Solve.mjs Log - 2026-02-15T08:52:30.758Z | |
| [2026-02-15T08:52:30.759Z] [INFO] 📁 Log file: /home/hive/solve-2026-02-15T08-52-30-758Z.log | |
| [2026-02-15T08:52:30.760Z] [INFO] (All output will be logged here) | |
| [2026-02-15T08:52:31.270Z] [INFO] | |
| [2026-02-15T08:52:31.271Z] [INFO] 🚀 solve v1.23.3 | |
| [2026-02-15T08:52:31.271Z] [INFO] 🔧 Raw command executed: | |
| [2026-02-15T08:52:31.272Z] [INFO] /home/hive/.nvm/versions/node/v20.20.0/bin/node /home/hive/.bun/bin/solve https://github.com/link-assistant/agent/pull/178 --model opus --attach-logs --verbose --no-tool-check --auto-resume-on-limit-reset --tokens-budget-stats | |
| [2026-02-15T08:52:31.272Z] [INFO] | |
| [2026-02-15T08:52:31.290Z] [INFO] | |
| [2026-02-15T08:52:31.293Z] [WARNING] ⚠️ SECURITY WARNING: --attach-logs is ENABLED | |
| [2026-02-15T08:52:31.293Z] [INFO] | |
| [2026-02-15T08:52:31.293Z] [INFO] This option will upload the complete solution draft log file to the Pull Request. | |
| [2026-02-15T08:52:31.293Z] [INFO] The log may contain sensitive information such as: | |
| [2026-02-15T08:52:31.294Z] [INFO] • API keys, tokens, or secrets | |
| [2026-02-15T08:52:31.294Z] [INFO] • File paths and directory structures | |
| [2026-02-15T08:52:31.294Z] [INFO] • Command outputs and error messages | |
| [2026-02-15T08:52:31.294Z] [INFO] • Internal system information | |
| [2026-02-15T08:52:31.294Z] [INFO] | |
| [2026-02-15T08:52:31.295Z] [INFO] ⚠️ DO NOT use this option with public repositories or if the log | |
| [2026-02-15T08:52:31.295Z] [INFO] might contain sensitive data that should not be shared publicly. | |
| [2026-02-15T08:52:31.295Z] [INFO] | |
| [2026-02-15T08:52:31.295Z] [INFO] Continuing in 5 seconds... (Press Ctrl+C to abort) | |
| [2026-02-15T08:52:31.295Z] [INFO] | |
| [2026-02-15T08:52:36.301Z] [INFO] | |
| [2026-02-15T08:52:36.326Z] [INFO] 💾 Disk space check: 55238MB available (2048MB required) ✅ | |
| [2026-02-15T08:52:36.328Z] [INFO] 🧠 Memory check: 10412MB available, swap: 4095MB (0MB used), total: 14507MB (256MB required) ✅ | |
| [2026-02-15T08:52:36.347Z] [INFO] ⏩ Skipping tool connection validation (dry-run mode or skip-tool-connection-check enabled) | |
| [2026-02-15T08:52:36.347Z] [INFO] ⏩ Skipping GitHub authentication check (dry-run mode or skip-tool-connection-check enabled) | |
| [2026-02-15T08:52:36.347Z] [INFO] 📋 URL validation: | |
| [2026-02-15T08:52:36.348Z] [INFO] Input URL: https://github.com/link-assistant/agent/pull/178 | |
| [2026-02-15T08:52:36.348Z] [INFO] Is Issue URL: false | |
| [2026-02-15T08:52:36.348Z] [INFO] Is PR URL: true | |
| [2026-02-15T08:52:36.348Z] [INFO] 🔍 Checking repository access for auto-fork... | |
| [2026-02-15T08:52:37.073Z] [INFO] Repository visibility: public | |
| [2026-02-15T08:52:37.074Z] [INFO] ✅ Auto-fork: Write access detected to public repository, working directly on repository | |
| [2026-02-15T08:52:37.074Z] [INFO] 🔍 Checking repository write permissions... | |
| [2026-02-15T08:52:37.434Z] [INFO] ✅ Repository write access: Confirmed | |
| [2026-02-15T08:52:37.768Z] [INFO] Repository visibility: public | |
| [2026-02-15T08:52:37.768Z] [INFO] Auto-cleanup default: false (repository is public) | |
| [2026-02-15T08:52:37.769Z] [INFO] 🔄 Continue mode: Working with PR #178 | |
| [2026-02-15T08:52:37.769Z] [INFO] Continue mode activated: PR URL provided directly | |
| [2026-02-15T08:52:37.770Z] [INFO] PR Number set to: 178 | |
| [2026-02-15T08:52:37.770Z] [INFO] Will fetch PR details and linked issue | |
| [2026-02-15T08:52:38.192Z] [INFO] 📝 PR branch: issue-177-c144aea88339 | |
| [2026-02-15T08:52:38.193Z] [INFO] 🔗 Found linked issue #177 | |
| [2026-02-15T08:52:38.194Z] [INFO] | |
| Creating temporary directory: /tmp/gh-issue-solver-1771145558194 | |
| [2026-02-15T08:52:38.198Z] [INFO] | |
| 📥 Cloning repository: link-assistant/agent | |
| [2026-02-15T08:52:39.267Z] [INFO] ✅ Cloned to: /tmp/gh-issue-solver-1771145558194 | |
| [2026-02-15T08:52:39.440Z] [INFO] | |
| 📌 Default branch: main | |
| [2026-02-15T08:52:39.529Z] [INFO] | |
| 🔄 Checking out PR branch: issue-177-c144aea88339 | |
| [2026-02-15T08:52:39.530Z] [INFO] 📥 Fetching branches: From remote... | |
| [2026-02-15T08:52:39.962Z] [INFO] 🔍 Verifying: Branch checkout... | |
| [2026-02-15T08:52:40.003Z] [INFO] ✅ Branch checked out: issue-177-c144aea88339 | |
| [2026-02-15T08:52:40.004Z] [INFO] ✅ Current branch: issue-177-c144aea88339 | |
| [2026-02-15T08:52:40.004Z] [INFO] Branch operation: Checkout existing PR branch | |
| [2026-02-15T08:52:40.004Z] [INFO] Branch verification: Matches expected | |
| [2026-02-15T08:52:40.007Z] [INFO] | |
| 🔄 Continue mode: ACTIVE | |
| [2026-02-15T08:52:40.008Z] [INFO] Using existing PR: #178 | |
| [2026-02-15T08:52:40.009Z] [INFO] PR URL: https://github.com/link-assistant/agent/pull/178 | |
| [2026-02-15T08:52:40.009Z] [INFO] | |
| 🚀 Starting work session: 2026-02-15T08:52:40.009Z | |
| [2026-02-15T08:52:40.358Z] [INFO] 📝 Converting PR: Back to draft mode... | |
| [2026-02-15T08:52:41.193Z] [INFO] ✅ PR converted: Now in draft mode | |
| [2026-02-15T08:52:42.102Z] [INFO] 💬 Posted: AI Work Session Started comment | |
| [2026-02-15T08:52:42.410Z] [INFO] 👤 Current user: konard | |
| [2026-02-15T08:52:42.411Z] [INFO] | |
| 📊 Comment counting conditions: | |
| [2026-02-15T08:52:42.411Z] [INFO] prNumber: 178 | |
| [2026-02-15T08:52:42.411Z] [INFO] branchName: issue-177-c144aea88339 | |
| [2026-02-15T08:52:42.411Z] [INFO] isContinueMode: true | |
| [2026-02-15T08:52:42.411Z] [INFO] Will count comments: true | |
| [2026-02-15T08:52:42.412Z] [INFO] 💬 Counting comments: Checking for new comments since last commit... | |
| [2026-02-15T08:52:42.412Z] [INFO] PR #178 on branch: issue-177-c144aea88339 | |
| [2026-02-15T08:52:42.412Z] [INFO] Owner/Repo: link-assistant/agent | |
| [2026-02-15T08:52:42.842Z] [INFO] 📅 Last commit time (from API): 2026-02-15T08:46:58.000Z | |
| [2026-02-15T08:52:43.680Z] [INFO] 💬 New PR comments: 2 | |
| [2026-02-15T08:52:43.680Z] [INFO] 💬 New PR review comments: 0 | |
| [2026-02-15T08:52:43.680Z] [INFO] 💬 New issue comments: 0 | |
| [2026-02-15T08:52:43.680Z] [INFO] Total new comments: 2 | |
| [2026-02-15T08:52:43.681Z] [INFO] Comment lines to add: Yes | |
| [2026-02-15T08:52:43.681Z] [INFO] PR review comments fetched: 0 | |
| [2026-02-15T08:52:43.681Z] [INFO] PR conversation comments fetched: 3 | |
| [2026-02-15T08:52:43.681Z] [INFO] Total PR comments checked: 3 | |
| [2026-02-15T08:52:46.306Z] [INFO] Feedback info will be added to prompt: | |
| [2026-02-15T08:52:46.307Z] [INFO] - New comments on the pull request: 2 | |
| [2026-02-15T08:52:46.307Z] [INFO] - Pull request description was edited after last commit | |
| [2026-02-15T08:52:46.307Z] [INFO] 📅 Getting timestamps: From GitHub servers... | |
| [2026-02-15T08:52:46.682Z] [INFO] 📝 Issue updated: 2026-02-15T08:25:17.000Z | |
| [2026-02-15T08:52:46.968Z] [INFO] 💬 Comments: None found | |
| [2026-02-15T08:52:47.293Z] [INFO] 🔀 Recent PR: 2026-02-15T08:52:21.000Z | |
| [2026-02-15T08:52:47.293Z] [INFO] | |
| ✅ Reference time: 2026-02-15T08:52:21.000Z | |
| [2026-02-15T08:52:47.294Z] [INFO] | |
| 🔍 Checking for uncommitted changes to include as feedback... | |
| [2026-02-15T08:52:47.370Z] [INFO] ✅ No uncommitted changes found | |
| [2026-02-15T08:52:49.659Z] [INFO] 🎭 Playwright MCP detected - enabling browser automation hints | |
| [2026-02-15T08:52:49.792Z] [INFO] 👁️ Model vision capability: supported | |
| [2026-02-15T08:52:49.793Z] [INFO] | |
| 📝 Final prompt structure: | |
| [2026-02-15T08:52:49.793Z] [INFO] Characters: 359 | |
| [2026-02-15T08:52:49.794Z] [INFO] System prompt characters: 12683 | |
| [2026-02-15T08:52:49.794Z] [INFO] Feedback info: Included | |
| [2026-02-15T08:52:49.795Z] [INFO] | |
| 🤖 Executing Claude: OPUS | |
| [2026-02-15T08:52:49.796Z] [INFO] Model: opus | |
| [2026-02-15T08:52:49.796Z] [INFO] Working directory: /tmp/gh-issue-solver-1771145558194 | |
| [2026-02-15T08:52:49.796Z] [INFO] Branch: issue-177-c144aea88339 | |
| [2026-02-15T08:52:49.797Z] [INFO] Prompt length: 359 chars | |
| [2026-02-15T08:52:49.797Z] [INFO] System prompt length: 12683 chars | |
| [2026-02-15T08:52:49.797Z] [INFO] Feedback info included: Yes (2 lines) | |
| [2026-02-15T08:52:49.839Z] [INFO] 📈 System resources before execution: | |
| [2026-02-15T08:52:49.840Z] [INFO] Memory: MemFree: 7995892 kB | |
| [2026-02-15T08:52:49.840Z] [INFO] Load: 0.59 0.38 0.27 1/368 34480 | |
| [2026-02-15T08:52:49.841Z] [INFO] | |
| 📝 Raw command: | |
| [2026-02-15T08:52:49.841Z] [INFO] (cd "/tmp/gh-issue-solver-1771145558194" && claude --output-format stream-json --verbose --dangerously-skip-permissions --model claude-opus-4-5-20251101 -p "Issue to solve: https://github.com/link-assistant/agent/issues/177 | |
| Your prepared branch: issue-177-c144aea88339 | |
| Your prepared working directory: /tmp/gh-issue-solver-1771145558194 | |
| Your prepared Pull Request: https://github.com/link-assistant/agent/pull/178 | |
| 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-177-c144aea88339 --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/177. | |
| - 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/178/comments --paginate | |
| 2. PR conversation comments (general discussion): gh api repos/link-assistant/agent/issues/178/comments --paginate | |
| 3. PR reviews (approve/request changes): gh api repos/link-assistant/agent/pulls/178/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/177/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 178 --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 178, 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 178. | |
| Workflow and collaboration. | |
| - When you check branch, verify with git branch --show-current. | |
| - When you push, push only to branch issue-177-c144aea88339. | |
| - When you finish, create a pull request from branch issue-177-c144aea88339. (Note: PR 178 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-177-c144aea88339. | |
| - When you mention result, include pull request url or comment url. | |
| - When you need to create pr, remember pr 178 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-177-c144aea88339/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 .) | |
| [2026-02-15T08:52:49.841Z] [INFO] | |
| [2026-02-15T08:52:49.841Z] [INFO] 📋 User prompt: | |
| [2026-02-15T08:52:49.841Z] [INFO] ---BEGIN USER PROMPT--- | |
| [2026-02-15T08:52:49.842Z] [INFO] Issue to solve: https://github.com/link-assistant/agent/issues/177 | |
| Your prepared branch: issue-177-c144aea88339 | |
| Your prepared working directory: /tmp/gh-issue-solver-1771145558194 | |
| Your prepared Pull Request: https://github.com/link-assistant/agent/pull/178 | |
| New comments on the pull request: 2 | |
| Pull request description was edited after last commit | |
| Continue. | |
| [2026-02-15T08:52:49.842Z] [INFO] ---END USER PROMPT--- | |
| [2026-02-15T08:52:49.842Z] [INFO] 📋 System prompt: | |
| [2026-02-15T08:52:49.842Z] [INFO] ---BEGIN SYSTEM PROMPT--- | |
| [2026-02-15T08:52:49.842Z] [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-177-c144aea88339 --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/177. | |
| - 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/178/comments --paginate | |
| 2. PR conversation comments (general discussion): gh api repos/link-assistant/agent/issues/178/comments --paginate | |
| 3. PR reviews (approve/request changes): gh api repos/link-assistant/agent/pulls/178/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/177/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 178 --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 178, 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 178. | |
| Workflow and collaboration. | |
| - When you check branch, verify with git branch --show-current. | |
| - When you push, push only to branch issue-177-c144aea88339. | |
| - When you finish, create a pull request from branch issue-177-c144aea88339. (Note: PR 178 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-177-c144aea88339. | |
| - When you mention result, include pull request url or comment url. | |
| - When you need to create pr, remember pr 178 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-177-c144aea88339/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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| [2026-02-15T08:52:49.844Z] [INFO] 🤖 Model: Claude OPUS | |
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| "content": "{\"body\":\"## Summary\\n\\nFixes #177 - Suppresses AI SDK warnings that appear during normal CLI operation.\\n\\n## Changes\\n\\n### 1. AI SDK Warning Suppression (`js/src/flag/flag.ts`)\\n\\nAdded `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default. Users can re-enable warnings by setting `AGENT_ENABLE_AI_SDK_WARNINGS=true`.\\n\\n### 2. Early Initialization (`js/src/index.js`)\\n\\nCall `Flag.initAISDKWarnings()` at the very start of the CLI, before any AI SDK imports.\\n\\n### 3. Cache Warning Level Change (`js/src/provider/models.ts`)\\n\\nChanged the models.dev cache fallback message from `warn` to `info` level since using bundled data is expected behavior when cache is unavailable.\\n\\n### 4. Case Study Documentation (`docs/case-studies/issue-177/`)\\n\\nAdded comprehensive case study analysis documenting:\\n- Root cause analysis of all three warnings\\n- Timeline of events\\n- Research findings\\n- Solutions implemented\\n\\n## Warnings Fixed\\n\\n| Warning | Solution |\\n|---------|----------|\\n| AI SDK Warning System notice | Suppressed via `globalThis.AI_SDK_LOG_WARNINGS = false` |\\n| specificationVersion v2 compatibility mode | Suppressed via `globalThis.AI_SDK_LOG_WARNINGS = false` |\\n| \\\"cache read failed, using bundled data\\\" | Changed from `warn` to `info` level |\\n\\n## External Issue Filed\\n\\nReported upstream issue to Vercel AI SDK: https://github.com/vercel/ai/issues/12615\\n\\nThe `@ai-sdk/openai-compatible` package still implements `specificationVersion: 'v2'` while AI SDK 6.x expects `v3`. Until this is fixed upstream, we suppress the warnings.\\n\\n## Test Plan\\n\\n- [x] Verify no AI SDK warnings appear in normal CLI operation\\n- [x] Verify `AGENT_ENABLE_AI_SDK_WARNINGS=true` re-enables warnings\\n- [x] Verify lint passes\\n- [x] Verify existing functionality works (dry-run mode)\\n\\n---\\n\\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\",\"comments\":[{\"id\":\"IC_kwDOQYTy3M7orv1i\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"## 🤖 Solution Draft Log\\nThis log file contains the complete execution trace of the AI solution draft process.\\n\\n💰 **Cost estimation:**\\n- Public pricing estimate: $10.794775\\n- Calculated by Anthropic: $7.662162 USD\\n- Difference: $-3.132613 (-29.02%)\\n📎 **Log file uploaded as Gist** (1073KB)\\n🔗 [View complete solution draft log](https://gist.githubusercontent.com/konard/00b767f7bdfc958cf3f13e00b981062b/raw/bc509c0129e72d19d5cdcb2ae555562b7b8e3825/solution-draft-log-pr-1771145221940.txt)\\n---\\n*Now working session is ended, feel free to review and add any feedback on the solution draft.*\",\"createdAt\":\"2026-02-15T08:47:07Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/178#issuecomment-3903782242\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7orzqs\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"Why we are suppressing warnings? Can we fix their root cause?\\r\\n\\r\\nEnsure all changes are correct, consistent, validated, tested and fully meet all discussed requirements (check issue description and all comments in issue and in pull request). Ensure all CI/CD checks pass.\",\"createdAt\":\"2026-02-15T08:52:12Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/178#issuecomment-3903797932\",\"viewerDidAuthor\":true},{\"id\":\"IC_kwDOQYTy3M7or0E1\",\"author\":{\"login\":\"konard\"},\"authorAssociation\":\"MEMBER\",\"body\":\"🤖 **AI Work Session Started**\\n\\nStarting automated work session at 2026-02-15T08:52:40.009Z\\n\\nThe PR has been converted to draft mode while work is in progress.\\n\\n_This comment marks the beginning of an AI work session. Please wait for the session to finish, and provide your feedback._\",\"createdAt\":\"2026-02-15T08:52:41Z\",\"includesCreatedEdit\":false,\"isMinimized\":false,\"minimizedReason\":\"\",\"reactionGroups\":[],\"url\":\"https://github.com/link-assistant/agent/pull/178#issuecomment-3903799605\",\"viewerDidAuthor\":true}],\"reviews\":[],\"state\":\"OPEN\",\"title\":\"fix: suppress AI SDK warnings for cleaner CLI output\"}", | |
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| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "4f4bbee1-f387-4522-b4b9-b12a458c9f13", | |
| "uuid": "0b3cce22-d0e9-43bd-98e3-8ad93751acd0" | |
| } | |
| [2026-02-15T08:53:08.549Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01UzUAZF4To8HFzCdAas8pRB", | |
| "type": "tool_result", | |
| "content": "{\"body\":\"```\\nkonard@MacBook-Pro-Konstantin ~ % bun install -g @link-assistant/agent \\nbun add v1.2.20 (6ad208bc)\\n\\ninstalled @link-assistant/agent@0.13.2 with binaries:\\n - agent\\n\\n9 packages installed [4.34s]\\nkonard@MacBook-Pro-Konstantin ~ % echo 'hi' | agent --model kimi-k2.5-free\\n{\\n \\\"type\\\": \\\"status\\\",\\n \\\"mode\\\": \\\"stdin-stream\\\",\\n \\\"message\\\": \\\"Agent CLI in continuous listening mode. Accepts JSON and plain text input.\\\",\\n \\\"hint\\\": \\\"Press CTRL+C to exit. Use --help for options.\\\",\\n \\\"acceptedFormats\\\": [\\n \\\"JSON object with \\\\\\\"message\\\\\\\" field\\\",\\n \\\"Plain text\\\"\\n ],\\n \\\"options\\\": {\\n \\\"interactive\\\": true,\\n \\\"autoMergeQueuedMessages\\\": true,\\n \\\"alwaysAcceptStdin\\\": true,\\n \\\"compactJson\\\": false\\n }\\n}\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.079Z\\\",\\n \\\"service\\\": \\\"default\\\",\\n \\\"version\\\": \\\"0.13.2\\\",\\n \\\"command\\\": \\\"/Users/konard/.bun/bin/bun /Users/konard/.bun/install/global/node_modules/@link-assistant/agent/src/index.js --model kimi-k2.5-free\\\",\\n \\\"workingDirectory\\\": \\\"/Users/konard\\\",\\n \\\"scriptPath\\\": \\\"/Users/konard/.bun/install/global/node_modules/@link-assistant/agent/src/index.js\\\",\\n \\\"message\\\": \\\"Agent started (continuous mode)\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.080Z\\\",\\n \\\"service\\\": \\\"default\\\",\\n \\\"directory\\\": \\\"/Users/konard\\\",\\n \\\"message\\\": \\\"creating instance\\\"\\n}\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.080Z\\\",\\n \\\"service\\\": \\\"project\\\",\\n \\\"directory\\\": \\\"/Users/konard\\\",\\n \\\"message\\\": \\\"fromDirectory\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.088Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"status\\\": \\\"started\\\",\\n \\\"message\\\": \\\"state\\\"\\n}\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.088Z\\\",\\n \\\"service\\\": \\\"config\\\",\\n \\\"path\\\": \\\"/Users/konard/.config/link-assistant-agent/config.json\\\",\\n \\\"message\\\": \\\"loading\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.089Z\\\",\\n \\\"service\\\": \\\"config\\\",\\n \\\"path\\\": \\\"/Users/konard/.config/link-assistant-agent/opencode.json\\\",\\n \\\"message\\\": \\\"loading\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.089Z\\\",\\n \\\"service\\\": \\\"config\\\",\\n \\\"path\\\": \\\"/Users/konard/.config/link-assistant-agent/opencode.jsonc\\\",\\n \\\"message\\\": \\\"loading\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.092Z\\\",\\n \\\"service\\\": \\\"models.dev\\\",\\n \\\"path\\\": \\\"/Users/konard/.cache/link-assistant-agent/models.json\\\",\\n \\\"age\\\": 42809773,\\n \\\"threshold\\\": 3600000,\\n \\\"message\\\": \\\"cache is stale, awaiting refresh\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.092Z\\\",\\n \\\"service\\\": \\\"models.dev\\\",\\n \\\"file\\\": {},\\n \\\"message\\\": \\\"refreshing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"warn\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.204Z\\\",\\n \\\"service\\\": \\\"models.dev\\\",\\n \\\"path\\\": \\\"/Users/konard/.cache/link-assistant-agent/models.json\\\",\\n \\\"message\\\": \\\"cache read failed, using bundled data\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.244Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"message\\\": \\\"init\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.248Z\\\",\\n \\\"service\\\": \\\"claude-oauth\\\",\\n \\\"path\\\": \\\"/Users/konard/.claude/.credentials.json\\\",\\n \\\"message\\\": \\\"credentials file not found\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.248Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"providerID\\\": \\\"opencode\\\",\\n \\\"message\\\": \\\"found\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.248Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"providerID\\\": \\\"kilo\\\",\\n \\\"message\\\": \\\"found\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.248Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"status\\\": \\\"completed\\\",\\n \\\"duration\\\": 160,\\n \\\"message\\\": \\\"state\\\"\\n}\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.248Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"modelID\\\": \\\"kimi-k2.5-free\\\",\\n \\\"providerID\\\": \\\"opencode\\\",\\n \\\"message\\\": \\\"resolved short model name (single match)\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.248Z\\\",\\n \\\"service\\\": \\\"default\\\",\\n \\\"input\\\": \\\"kimi-k2.5-free\\\",\\n \\\"providerID\\\": \\\"opencode\\\",\\n \\\"modelID\\\": \\\"kimi-k2.5-free\\\",\\n \\\"message\\\": \\\"resolved short model name\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.256Z\\\",\\n \\\"service\\\": \\\"server\\\",\\n \\\"method\\\": \\\"POST\\\",\\n \\\"path\\\": \\\"/session\\\",\\n \\\"message\\\": \\\"request\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.256Z\\\",\\n \\\"service\\\": \\\"server\\\",\\n \\\"status\\\": \\\"started\\\",\\n \\\"method\\\": \\\"POST\\\",\\n \\\"path\\\": \\\"/session\\\",\\n \\\"message\\\": \\\"request\\\"\\n}\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.258Z\\\",\\n \\\"service\\\": \\\"session\\\",\\n \\\"id\\\": \\\"ses_39f9b3115fferUggrwD2kG4vn5\\\",\\n \\\"version\\\": \\\"agent-cli-1.0.0\\\",\\n \\\"projectID\\\": \\\"global\\\",\\n \\\"directory\\\": \\\"/Users/konard\\\",\\n \\\"title\\\": \\\"New session - 2026-02-15T08:22:25.258Z\\\",\\n \\\"time\\\": {\\n \\\"created\\\": 1771143745258,\\n \\\"updated\\\": 1771143745258\\n },\\n \\\"message\\\": \\\"created\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"session.created\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.259Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"session.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.259Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.259Z\\\",\\n \\\"service\\\": \\\"server\\\",\\n \\\"status\\\": \\\"completed\\\",\\n \\\"duration\\\": 3,\\n \\\"method\\\": \\\"POST\\\",\\n \\\"path\\\": \\\"/session\\\",\\n \\\"message\\\": \\\"request\\\"\\n}\\n{\\n \\\"type\\\": \\\"*\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.260Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"subscribing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"input\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.265Z\\\",\\n \\\"raw\\\": \\\"hi\\\",\\n \\\"parsed\\\": {\\n \\\"message\\\": \\\"hi\\\"\\n },\\n \\\"format\\\": \\\"text\\\"\\n}\\n{\\n \\\"type\\\": \\\"*\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.265Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"subscribing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.265Z\\\",\\n \\\"service\\\": \\\"server\\\",\\n \\\"method\\\": \\\"POST\\\",\\n \\\"path\\\": \\\"/session/ses_39f9b3115fferUggrwD2kG4vn5/message\\\",\\n \\\"message\\\": \\\"request\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.265Z\\\",\\n \\\"service\\\": \\\"server\\\",\\n \\\"status\\\": \\\"started\\\",\\n \\\"method\\\": \\\"POST\\\",\\n \\\"path\\\": \\\"/session/ses_39f9b3115fferUggrwD2kG4vn5/message\\\",\\n \\\"message\\\": \\\"request\\\"\\n}\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.268Z\\\",\\n \\\"service\\\": \\\"server\\\",\\n \\\"status\\\": \\\"completed\\\",\\n \\\"duration\\\": 3,\\n \\\"method\\\": \\\"POST\\\",\\n \\\"path\\\": \\\"/session/ses_39f9b3115fferUggrwD2kG4vn5/message\\\",\\n \\\"message\\\": \\\"request\\\"\\n}\\n{\\n \\\"type\\\": \\\"message.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.271Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.272Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"session.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.272Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.273Z\\\",\\n \\\"service\\\": \\\"session.prompt\\\",\\n \\\"step\\\": 0,\\n \\\"sessionID\\\": \\\"ses_39f9b3115fferUggrwD2kG4vn5\\\",\\n \\\"message\\\": \\\"loop\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.274Z\\\",\\n \\\"service\\\": \\\"session.prompt\\\",\\n \\\"hint\\\": \\\"Enable with --generate-title flag or AGENT_GENERATE_TITLE=true\\\",\\n \\\"message\\\": \\\"title generation disabled\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.275Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"providerID\\\": \\\"opencode\\\",\\n \\\"modelID\\\": \\\"kimi-k2.5-free\\\",\\n \\\"message\\\": \\\"getModel\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.275Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"status\\\": \\\"started\\\",\\n \\\"providerID\\\": \\\"opencode\\\",\\n \\\"message\\\": \\\"getSDK\\\"\\n}\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.275Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"providerID\\\": \\\"opencode\\\",\\n \\\"pkg\\\": \\\"@ai-sdk/openai-compatible\\\",\\n \\\"version\\\": \\\"latest\\\",\\n \\\"message\\\": \\\"installing provider package\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.276Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"providerID\\\": \\\"opencode\\\",\\n \\\"pkg\\\": \\\"@ai-sdk/openai-compatible\\\",\\n \\\"installedPath\\\": \\\"/Users/konard/.cache/link-assistant-agent/node_modules/@ai-sdk/openai-compatible\\\",\\n \\\"message\\\": \\\"provider package installed successfully\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.323Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"status\\\": \\\"completed\\\",\\n \\\"duration\\\": 48,\\n \\\"providerID\\\": \\\"opencode\\\",\\n \\\"message\\\": \\\"getSDK\\\"\\n}\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.324Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"providerID\\\": \\\"opencode\\\",\\n \\\"modelID\\\": \\\"kimi-k2.5-free\\\",\\n \\\"message\\\": \\\"found\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.325Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.331Z\\\",\\n \\\"service\\\": \\\"session.processor\\\",\\n \\\"message\\\": \\\"process\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"session.status\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.335Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.338Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\nAI SDK Warning System: To turn off warning logging, set the AI_SDK_LOG_WARNINGS global to false.\\nAI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \\\"specificationVersion\\\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\\n{\\n \\\"type\\\": \\\"session.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.340Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"session.diff\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.340Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.202Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"step_start\\\",\\n \\\"timestamp\\\": 1771143749202,\\n \\\"sessionID\\\": \\\"ses_39f9b3115fferUggrwD2kG4vn5\\\",\\n \\\"part\\\": {\\n \\\"id\\\": \\\"prt_c6064de4f001q8RFIH08vxc55H\\\",\\n \\\"sessionID\\\": \\\"ses_39f9b3115fferUggrwD2kG4vn5\\\",\\n \\\"messageID\\\": 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\\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.205Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.206Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.206Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.206Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": 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\\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.207Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.261Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.262Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.262Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.262Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.263Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.263Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.263Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.264Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.264Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.265Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.265Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.266Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.266Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.266Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.266Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.266Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.267Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.267Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.267Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.267Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.301Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.302Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"text\\\",\\n \\\"timestamp\\\": 1771143749302,\\n \\\"sessionID\\\": \\\"ses_39f9b3115fferUggrwD2kG4vn5\\\",\\n \\\"part\\\": {\\n \\\"id\\\": \\\"prt_c6064de91001X4EutFzm37Ic2J\\\",\\n \\\"sessionID\\\": \\\"ses_39f9b3115fferUggrwD2kG4vn5\\\",\\n \\\"messageID\\\": \\\"msg_c6064cf2c001wRQrU3hReg8OQG\\\",\\n \\\"type\\\": \\\"text\\\",\\n \\\"text\\\": \\\"Hello! How can I help you today?\\\",\\n \\\"time\\\": {\\n \\\"start\\\": 1771143749302,\\n \\\"end\\\": 1771143749302\\n }\\n }\\n}\\n{\\n \\\"type\\\": \\\"message.part.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.304Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"step_finish\\\",\\n \\\"timestamp\\\": 1771143749304,\\n \\\"sessionID\\\": \\\"ses_39f9b3115fferUggrwD2kG4vn5\\\",\\n \\\"part\\\": {\\n \\\"id\\\": \\\"prt_c6064deb8001y9B8RSn121JlLV\\\",\\n \\\"sessionID\\\": \\\"ses_39f9b3115fferUggrwD2kG4vn5\\\",\\n \\\"messageID\\\": \\\"msg_c6064cf2c001wRQrU3hReg8OQG\\\",\\n \\\"type\\\": \\\"step-finish\\\",\\n \\\"reason\\\": \\\"unknown\\\",\\n \\\"cost\\\": 0,\\n \\\"tokens\\\": {\\n \\\"input\\\": 0,\\n \\\"output\\\": 0,\\n \\\"reasoning\\\": 0,\\n \\\"cache\\\": {\\n \\\"read\\\": 0,\\n \\\"write\\\": 0\\n }\\n }\\n }\\n}\\n{\\n \\\"type\\\": \\\"message.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.305Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.305Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.307Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.307Z\\\",\\n \\\"service\\\": \\\"session.prompt\\\",\\n \\\"step\\\": 1,\\n \\\"sessionID\\\": \\\"ses_39f9b3115fferUggrwD2kG4vn5\\\",\\n \\\"message\\\": \\\"loop\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"message.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.308Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\nAI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \\\"specificationVersion\\\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\\n{\\n \\\"type\\\": \\\"session.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.308Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"session.diff\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.308Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.308Z\\\",\\n \\\"service\\\": \\\"session.prompt\\\",\\n \\\"sessionID\\\": \\\"ses_39f9b3115fferUggrwD2kG4vn5\\\",\\n \\\"message\\\": \\\"exiting loop\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.309Z\\\",\\n \\\"service\\\": \\\"session.compaction\\\",\\n \\\"message\\\": \\\"pruning\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.309Z\\\",\\n \\\"service\\\": \\\"session.prompt\\\",\\n \\\"sessionID\\\": \\\"ses_39f9b3115fferUggrwD2kG4vn5\\\",\\n \\\"message\\\": \\\"cancel\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"session.status\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.309Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"session.idle\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.309Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"*\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.309Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"unsubscribing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.310Z\\\",\\n \\\"service\\\": \\\"session.compaction\\\",\\n \\\"pruned\\\": 0,\\n \\\"total\\\": 0,\\n \\\"message\\\": \\\"found\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"*\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.316Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"unsubscribing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.316Z\\\",\\n \\\"service\\\": \\\"default\\\",\\n \\\"directory\\\": \\\"/Users/konard\\\",\\n \\\"message\\\": \\\"disposing instance\\\"\\n}\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.316Z\\\",\\n \\\"service\\\": \\\"state\\\",\\n \\\"key\\\": \\\"/Users/konard\\\",\\n \\\"message\\\": \\\"waiting for state disposal to complete\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.316Z\\\",\\n \\\"service\\\": \\\"state\\\",\\n \\\"key\\\": \\\"/Users/konard\\\",\\n \\\"message\\\": \\\"state disposal completed\\\"\\n}\\n\\nkonard@MacBook-Pro-Konstantin ~ % \\n```\\n\\nWe should carefully deal with all warnings, so there will be no risk with any potential problems in our Agent CLI, it should have highest possible reliability.\\n\\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).\\n\\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.\\n\",\"comments\":[],\"title\":\"Can we fix warnings?\"}", | |
| "is_error": false | |
| } | |
| ] | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "4f4bbee1-f387-4522-b4b9-b12a458c9f13", | |
| "uuid": "52ca07f6-b2b4-493b-acc1-6fcf02cf83b4", | |
| "tool_use_result": { | |
| "stdout": "{\"body\":\"```\\nkonard@MacBook-Pro-Konstantin ~ % bun install -g @link-assistant/agent \\nbun add v1.2.20 (6ad208bc)\\n\\ninstalled @link-assistant/agent@0.13.2 with binaries:\\n - agent\\n\\n9 packages installed [4.34s]\\nkonard@MacBook-Pro-Konstantin ~ % echo 'hi' | agent --model kimi-k2.5-free\\n{\\n \\\"type\\\": \\\"status\\\",\\n \\\"mode\\\": \\\"stdin-stream\\\",\\n \\\"message\\\": \\\"Agent CLI in continuous listening mode. Accepts JSON and plain text input.\\\",\\n \\\"hint\\\": \\\"Press CTRL+C to exit. Use --help for options.\\\",\\n \\\"acceptedFormats\\\": [\\n \\\"JSON object with \\\\\\\"message\\\\\\\" field\\\",\\n \\\"Plain text\\\"\\n ],\\n \\\"options\\\": {\\n \\\"interactive\\\": true,\\n \\\"autoMergeQueuedMessages\\\": true,\\n \\\"alwaysAcceptStdin\\\": true,\\n \\\"compactJson\\\": false\\n }\\n}\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.079Z\\\",\\n \\\"service\\\": \\\"default\\\",\\n \\\"version\\\": \\\"0.13.2\\\",\\n \\\"command\\\": \\\"/Users/konard/.bun/bin/bun /Users/konard/.bun/install/global/node_modules/@link-assistant/agent/src/index.js --model kimi-k2.5-free\\\",\\n \\\"workingDirectory\\\": \\\"/Users/konard\\\",\\n \\\"scriptPath\\\": \\\"/Users/konard/.bun/install/global/node_modules/@link-assistant/agent/src/index.js\\\",\\n \\\"message\\\": \\\"Agent started (continuous mode)\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.080Z\\\",\\n \\\"service\\\": \\\"default\\\",\\n \\\"directory\\\": \\\"/Users/konard\\\",\\n \\\"message\\\": \\\"creating instance\\\"\\n}\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.080Z\\\",\\n \\\"service\\\": \\\"project\\\",\\n \\\"directory\\\": \\\"/Users/konard\\\",\\n \\\"message\\\": \\\"fromDirectory\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.088Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"status\\\": \\\"started\\\",\\n \\\"message\\\": \\\"state\\\"\\n}\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.088Z\\\",\\n \\\"service\\\": \\\"config\\\",\\n \\\"path\\\": \\\"/Users/konard/.config/link-assistant-agent/config.json\\\",\\n \\\"message\\\": \\\"loading\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.089Z\\\",\\n \\\"service\\\": \\\"config\\\",\\n \\\"path\\\": \\\"/Users/konard/.config/link-assistant-agent/opencode.json\\\",\\n \\\"message\\\": \\\"loading\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.089Z\\\",\\n \\\"service\\\": \\\"config\\\",\\n \\\"path\\\": \\\"/Users/konard/.config/link-assistant-agent/opencode.jsonc\\\",\\n \\\"message\\\": \\\"loading\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.092Z\\\",\\n \\\"service\\\": \\\"models.dev\\\",\\n \\\"path\\\": \\\"/Users/konard/.cache/link-assistant-agent/models.json\\\",\\n \\\"age\\\": 42809773,\\n \\\"threshold\\\": 3600000,\\n \\\"message\\\": \\\"cache is stale, awaiting refresh\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.092Z\\\",\\n \\\"service\\\": \\\"models.dev\\\",\\n \\\"file\\\": {},\\n \\\"message\\\": \\\"refreshing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"warn\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.204Z\\\",\\n \\\"service\\\": \\\"models.dev\\\",\\n \\\"path\\\": \\\"/Users/konard/.cache/link-assistant-agent/models.json\\\",\\n \\\"message\\\": \\\"cache read failed, using bundled data\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.244Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"message\\\": \\\"init\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.248Z\\\",\\n \\\"service\\\": \\\"claude-oauth\\\",\\n \\\"path\\\": \\\"/Users/konard/.claude/.credentials.json\\\",\\n \\\"message\\\": \\\"credentials file not found\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.248Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"providerID\\\": \\\"opencode\\\",\\n \\\"message\\\": \\\"found\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.248Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"providerID\\\": \\\"kilo\\\",\\n \\\"message\\\": \\\"found\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.248Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"status\\\": \\\"completed\\\",\\n \\\"duration\\\": 160,\\n \\\"message\\\": \\\"state\\\"\\n}\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:25.248Z\\\",\\n \\\"service\\\": \\\"provider\\\",\\n \\\"modelID\\\": \\\"kimi-k2.5-free\\\",\\n \\\"providerID\\\": \\\"opencode\\\",\\n \\\"message\\\": \\\"resolved short model name (single 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Using v2 specification compatibility mode. Some features may not be available.\\n{\\n \\\"type\\\": \\\"session.updated\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.308Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"session.diff\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.308Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.308Z\\\",\\n \\\"service\\\": \\\"session.prompt\\\",\\n \\\"sessionID\\\": \\\"ses_39f9b3115fferUggrwD2kG4vn5\\\",\\n \\\"message\\\": \\\"exiting loop\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.309Z\\\",\\n \\\"service\\\": \\\"session.compaction\\\",\\n \\\"message\\\": \\\"pruning\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.309Z\\\",\\n \\\"service\\\": \\\"session.prompt\\\",\\n \\\"sessionID\\\": \\\"ses_39f9b3115fferUggrwD2kG4vn5\\\",\\n \\\"message\\\": \\\"cancel\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"session.status\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.309Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"session.idle\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.309Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"publishing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"*\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.309Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"unsubscribing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.310Z\\\",\\n \\\"service\\\": \\\"session.compaction\\\",\\n \\\"pruned\\\": 0,\\n \\\"total\\\": 0,\\n \\\"message\\\": \\\"found\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"*\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.316Z\\\",\\n \\\"service\\\": \\\"bus\\\",\\n \\\"message\\\": \\\"unsubscribing\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.316Z\\\",\\n \\\"service\\\": \\\"default\\\",\\n \\\"directory\\\": \\\"/Users/konard\\\",\\n \\\"message\\\": \\\"disposing instance\\\"\\n}\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.316Z\\\",\\n \\\"service\\\": \\\"state\\\",\\n \\\"key\\\": \\\"/Users/konard\\\",\\n \\\"message\\\": \\\"waiting for state disposal to complete\\\"\\n}\\n\\n{\\n \\\"type\\\": \\\"log\\\",\\n \\\"level\\\": \\\"info\\\",\\n \\\"timestamp\\\": \\\"2026-02-15T08:22:29.316Z\\\",\\n \\\"service\\\": \\\"state\\\",\\n \\\"key\\\": \\\"/Users/konard\\\",\\n \\\"message\\\": \\\"state disposal completed\\\"\\n}\\n\\nkonard@MacBook-Pro-Konstantin ~ % \\n```\\n\\nWe should carefully deal with all warnings, so there will be no risk with any potential problems in our Agent CLI, it should have highest possible reliability.\\n\\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).\\n\\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.\\n\",\"comments\":[],\"title\":\"Can we fix warnings?\"}", | |
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| "content": "diff --git a/docs/case-studies/issue-177/README.md b/docs/case-studies/issue-177/README.md\nnew file mode 100644\nindex 0000000..0fb2454\n--- /dev/null\n+++ b/docs/case-studies/issue-177/README.md\n@@ -0,0 +1,233 @@\n+# Case Study: Issue #177 - Fixing CLI Warnings\n+\n+**Issue:** [#177 - Can we fix warnings?](https://github.com/link-assistant/agent/issues/177)\n+**Status:** Resolved\n+**Date:** 2026-02-15\n+**PR:** [#178](https://github.com/link-assistant/agent/pull/178)\n+\n+## Executive Summary\n+\n+The Agent CLI outputs several warnings during normal operation that should be addressed to ensure highest possible reliability. This case study analyzes three distinct warnings found in the user's execution log and proposes solutions.\n+\n+## Warnings Identified\n+\n+### Warning 1: models.dev Cache Read Failure\n+\n+**Log Entry:**\n+```json\n+{\n+ \"type\": \"log\",\n+ \"level\": \"warn\",\n+ \"timestamp\": \"2026-02-15T08:22:25.204Z\",\n+ \"service\": \"models.dev\",\n+ \"path\": \"/Users/konard/.cache/link-assistant-agent/models.json\",\n+ \"message\": \"cache read failed, using bundled data\"\n+}\n+```\n+\n+**Root Cause:**\n+The cache file exists but fails to be read as JSON after refresh attempt. This happens because:\n+1. The cache is marked as stale (age: 42809773ms > threshold: 3600000ms)\n+2. `refresh()` is awaited but the fetch may fail silently or write invalid content\n+3. Subsequent `file.json().catch(() => {})` returns undefined, triggering the warning\n+\n+**Impact:** Low - Falls back to bundled data, but indicates potential cache corruption or network issues.\n+\n+---\n+\n+### Warning 2: AI SDK Warning System Notice\n+\n+**Log Entry:**\n+```\n+AI SDK Warning System: To turn off warning logging, set the AI_SDK_LOG_WARNINGS global to false.\n+```\n+\n+**Root Cause:**\n+This is an informational message from Vercel's AI SDK that appears the first time any warning is logged. It's part of the warning infrastructure added in [vercel/ai#8343](https://github.com/vercel/ai/pull/8343).\n+\n+**Impact:** Very Low - This is purely informational and appears only once per session.\n+\n+---\n+\n+### Warning 3: AI SDK specificationVersion Compatibility Mode\n+\n+**Log Entry:**\n+```\n+AI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \"specificationVersion\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\n+```\n+\n+**Root Cause:**\n+The AI SDK v6 uses `specificationVersion: 'v3'` but the OpenCode provider (`@ai-sdk/openai-compatible`) returns a model using the older `v2` specification. This triggers a compatibility warning added in [vercel/ai#10770](https://github.com/vercel/ai/pull/10770).\n+\n+**Technical Details:**\n+- AI SDK 6.x expects `specificationVersion: 'v3'`\n+- The `@ai-sdk/openai-compatible` provider package implements `specificationVersion: 'v2'`\n+- SDK runs v2 models in compatibility mode, triggering this warning\n+- The warning appears for each model instantiation (appears twice in the log)\n+\n+**Impact:** Medium - While functionality works via compatibility mode, some v3 features may not be available.\n+\n+## Timeline of Events\n+\n+| Timestamp | Event |\n+|-----------|-------|\n+| 08:22:25.079Z | Agent CLI started |\n+| 08:22:25.092Z | models.dev cache detected as stale (age: 42809773ms) |\n+| 08:22:25.092Z | Cache refresh initiated |\n+| 08:22:25.204Z | **Warning 1**: Cache read failed |\n+| 08:22:25.338Z | AI SDK streamText called |\n+| 08:22:25.340Z | **Warning 2**: AI SDK Warning System notice |\n+| 08:22:25.340Z | **Warning 3**: specificationVersion v2 compatibility mode |\n+| 08:22:29.307Z | Second streamText call (loop step 1) |\n+| 08:22:29.308Z | **Warning 3 again**: specificationVersion v2 compatibility mode |\n+| 08:22:29.316Z | Agent disposed |\n+\n+## Root Cause Analysis\n+\n+### Warning 1: Cache Read Failure\n+\n+**Code Location:** `js/src/provider/models.ts:130-139`\n+\n+```typescript\n+// Now read the cache file\n+const result = await file.json().catch(() => {});\n+if (result) return result as Record<string, Provider>;\n+\n+// Fallback to bundled data if cache read failed\n+log.warn(() => ({\n+ message: 'cache read failed, using bundled data',\n+ path: filepath,\n+}));\n+```\n+\n+**Issue:** The `refresh()` function doesn't guarantee a valid cache file exists after it returns. The `fetch` may fail silently, or the file may be corrupted.\n+\n+### Warning 2: AI SDK Warning System Notice\n+\n+**Code Location:** External - Vercel AI SDK `ai` package\n+\n+This warning is logged the first time the AI SDK logs any warning. It's informational to help users understand they can disable warnings.\n+\n+### Warning 3: specificationVersion Compatibility Mode\n+\n+**Code Location:** External - `@ai-sdk/openai-compatible` package\n+\n+The warning is triggered because:\n+1. AI SDK 6.x expects models to implement `specificationVersion: 'v3'`\n+2. `@ai-sdk/openai-compatible` still implements `specificationVersion: 'v2'`\n+3. The SDK detects this mismatch and logs a warning\n+\n+## Proposed Solutions\n+\n+### Solution 1: Suppress Cache Warning (Internal)\n+\n+**Approach:** Change the log level from `warn` to `info` since falling back to bundled data is expected behavior when cache is unavailable.\n+\n+**Pros:**\n+- Simple change\n+- No external dependencies\n+- Bundled data fallback is a valid fallback mechanism\n+\n+**Cons:**\n+- Doesn't fix the underlying cache read issue\n+\n+### Solution 2: Fix Cache Write/Read Race Condition (Internal)\n+\n+**Approach:** Ensure cache file is valid JSON before completing refresh.\n+\n+**Pros:**\n+- Fixes root cause\n+- Prevents future cache corruption issues\n+\n+**Cons:**\n+- More complex implementation\n+\n+### Solution 3: Suppress AI SDK Warnings (Internal)\n+\n+**Approach:** Set `globalThis.AI_SDK_LOG_WARNINGS = false` at startup.\n+\n+**Pros:**\n+- Simple one-line fix\n+- Removes all AI SDK warning noise\n+\n+**Cons:**\n+- May hide legitimate warnings\n+- Should be configurable rather than always suppressed\n+\n+### Solution 4: Report Issue to Vercel AI SDK (External)\n+\n+**Approach:** File an issue to request `@ai-sdk/openai-compatible` be updated to v3 specification.\n+\n+**Pros:**\n+- Fixes root cause upstream\n+- Benefits all users of the package\n+\n+**Cons:**\n+- Dependent on external timeline\n+- May take time to be released\n+\n+## Recommended Implementation\n+\n+1. **Immediate:** Suppress AI SDK warnings via environment variable or global flag\n+2. **Short-term:** Improve cache error handling with better fallback messaging\n+3. **Long-term:** File issue with Vercel AI SDK for specificationVersion upgrade\n+\n+## Related Resources\n+\n+- [AI SDK Migration Guide 5.x to 6.0](https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0)\n+- [AI SDK Issue #10689: Warn when using v2 models](https://github.com/vercel/ai/issues/10689)\n+- [AI SDK Issue #8329: Log warnings to console](https://github.com/vercel/ai/issues/8329)\n+- [AI SDK Custom Providers Guide](https://ai-sdk.dev/providers/community-providers/custom-providers)\n+\n+## Filed Issues\n+\n+| Repository | Issue | Description | Status |\n+|------------|-------|-------------|--------|\n+| vercel/ai | [#12615](https://github.com/vercel/ai/issues/12615) | @ai-sdk/openai-compatible v3 upgrade | Filed |\n+\n+## Implementation (PR #178)\n+\n+The following changes were implemented to fix the warnings:\n+\n+### 1. AI SDK Warning Suppression (`js/src/flag/flag.ts`)\n+\n+Added `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default:", | |
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| "stdout": "diff --git a/docs/case-studies/issue-177/README.md b/docs/case-studies/issue-177/README.md\nnew file mode 100644\nindex 0000000..0fb2454\n--- /dev/null\n+++ b/docs/case-studies/issue-177/README.md\n@@ -0,0 +1,233 @@\n+# Case Study: Issue #177 - Fixing CLI Warnings\n+\n+**Issue:** [#177 - Can we fix warnings?](https://github.com/link-assistant/agent/issues/177)\n+**Status:** Resolved\n+**Date:** 2026-02-15\n+**PR:** [#178](https://github.com/link-assistant/agent/pull/178)\n+\n+## Executive Summary\n+\n+The Agent CLI outputs several warnings during normal operation that should be addressed to ensure highest possible reliability. This case study analyzes three distinct warnings found in the user's execution log and proposes solutions.\n+\n+## Warnings Identified\n+\n+### Warning 1: models.dev Cache Read Failure\n+\n+**Log Entry:**\n+```json\n+{\n+ \"type\": \"log\",\n+ \"level\": \"warn\",\n+ \"timestamp\": \"2026-02-15T08:22:25.204Z\",\n+ \"service\": \"models.dev\",\n+ \"path\": \"/Users/konard/.cache/link-assistant-agent/models.json\",\n+ \"message\": \"cache read failed, using bundled data\"\n+}\n+```\n+\n+**Root Cause:**\n+The cache file exists but fails to be read as JSON after refresh attempt. This happens because:\n+1. The cache is marked as stale (age: 42809773ms > threshold: 3600000ms)\n+2. `refresh()` is awaited but the fetch may fail silently or write invalid content\n+3. Subsequent `file.json().catch(() => {})` returns undefined, triggering the warning\n+\n+**Impact:** Low - Falls back to bundled data, but indicates potential cache corruption or network issues.\n+\n+---\n+\n+### Warning 2: AI SDK Warning System Notice\n+\n+**Log Entry:**\n+```\n+AI SDK Warning System: To turn off warning logging, set the AI_SDK_LOG_WARNINGS global to false.\n+```\n+\n+**Root Cause:**\n+This is an informational message from Vercel's AI SDK that appears the first time any warning is logged. It's part of the warning infrastructure added in [vercel/ai#8343](https://github.com/vercel/ai/pull/8343).\n+\n+**Impact:** Very Low - This is purely informational and appears only once per session.\n+\n+---\n+\n+### Warning 3: AI SDK specificationVersion Compatibility Mode\n+\n+**Log Entry:**\n+```\n+AI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \"specificationVersion\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\n+```\n+\n+**Root Cause:**\n+The AI SDK v6 uses `specificationVersion: 'v3'` but the OpenCode provider (`@ai-sdk/openai-compatible`) returns a model using the older `v2` specification. This triggers a compatibility warning added in [vercel/ai#10770](https://github.com/vercel/ai/pull/10770).\n+\n+**Technical Details:**\n+- AI SDK 6.x expects `specificationVersion: 'v3'`\n+- The `@ai-sdk/openai-compatible` provider package implements `specificationVersion: 'v2'`\n+- SDK runs v2 models in compatibility mode, triggering this warning\n+- The warning appears for each model instantiation (appears twice in the log)\n+\n+**Impact:** Medium - While functionality works via compatibility mode, some v3 features may not be available.\n+\n+## Timeline of Events\n+\n+| Timestamp | Event |\n+|-----------|-------|\n+| 08:22:25.079Z | Agent CLI started |\n+| 08:22:25.092Z | models.dev cache detected as stale (age: 42809773ms) |\n+| 08:22:25.092Z | Cache refresh initiated |\n+| 08:22:25.204Z | **Warning 1**: Cache read failed |\n+| 08:22:25.338Z | AI SDK streamText called |\n+| 08:22:25.340Z | **Warning 2**: AI SDK Warning System notice |\n+| 08:22:25.340Z | **Warning 3**: specificationVersion v2 compatibility mode |\n+| 08:22:29.307Z | Second streamText call (loop step 1) |\n+| 08:22:29.308Z | **Warning 3 again**: specificationVersion v2 compatibility mode |\n+| 08:22:29.316Z | Agent disposed |\n+\n+## Root Cause Analysis\n+\n+### Warning 1: Cache Read Failure\n+\n+**Code Location:** `js/src/provider/models.ts:130-139`\n+\n+```typescript\n+// Now read the cache file\n+const result = await file.json().catch(() => {});\n+if (result) return result as Record<string, Provider>;\n+\n+// Fallback to bundled data if cache read failed\n+log.warn(() => ({\n+ message: 'cache read failed, using bundled data',\n+ path: filepath,\n+}));\n+```\n+\n+**Issue:** The `refresh()` function doesn't guarantee a valid cache file exists after it returns. The `fetch` may fail silently, or the file may be corrupted.\n+\n+### Warning 2: AI SDK Warning System Notice\n+\n+**Code Location:** External - Vercel AI SDK `ai` package\n+\n+This warning is logged the first time the AI SDK logs any warning. It's informational to help users understand they can disable warnings.\n+\n+### Warning 3: specificationVersion Compatibility Mode\n+\n+**Code Location:** External - `@ai-sdk/openai-compatible` package\n+\n+The warning is triggered because:\n+1. AI SDK 6.x expects models to implement `specificationVersion: 'v3'`\n+2. `@ai-sdk/openai-compatible` still implements `specificationVersion: 'v2'`\n+3. The SDK detects this mismatch and logs a warning\n+\n+## Proposed Solutions\n+\n+### Solution 1: Suppress Cache Warning (Internal)\n+\n+**Approach:** Change the log level from `warn` to `info` since falling back to bundled data is expected behavior when cache is unavailable.\n+\n+**Pros:**\n+- Simple change\n+- No external dependencies\n+- Bundled data fallback is a valid fallback mechanism\n+\n+**Cons:**\n+- Doesn't fix the underlying cache read issue\n+\n+### Solution 2: Fix Cache Write/Read Race Condition (Internal)\n+\n+**Approach:** Ensure cache file is valid JSON before completing refresh.\n+\n+**Pros:**\n+- Fixes root cause\n+- Prevents future cache corruption issues\n+\n+**Cons:**\n+- More complex implementation\n+\n+### Solution 3: Suppress AI SDK Warnings (Internal)\n+\n+**Approach:** Set `globalThis.AI_SDK_LOG_WARNINGS = false` at startup.\n+\n+**Pros:**\n+- Simple one-line fix\n+- Removes all AI SDK warning noise\n+\n+**Cons:**\n+- May hide legitimate warnings\n+- Should be configurable rather than always suppressed\n+\n+### Solution 4: Report Issue to Vercel AI SDK (External)\n+\n+**Approach:** File an issue to request `@ai-sdk/openai-compatible` be updated to v3 specification.\n+\n+**Pros:**\n+- Fixes root cause upstream\n+- Benefits all users of the package\n+\n+**Cons:**\n+- Dependent on external timeline\n+- May take time to be released\n+\n+## Recommended Implementation\n+\n+1. **Immediate:** Suppress AI SDK warnings via environment variable or global flag\n+2. **Short-term:** Improve cache error handling with better fallback messaging\n+3. **Long-term:** File issue with Vercel AI SDK for specificationVersion upgrade\n+\n+## Related Resources\n+\n+- [AI SDK Migration Guide 5.x to 6.0](https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0)\n+- [AI SDK Issue #10689: Warn when using v2 models](https://github.com/vercel/ai/issues/10689)\n+- [AI SDK Issue #8329: Log warnings to console](https://github.com/vercel/ai/issues/8329)\n+- [AI SDK Custom Providers Guide](https://ai-sdk.dev/providers/community-providers/custom-providers)\n+\n+## Filed Issues\n+\n+| Repository | Issue | Description | Status |\n+|------------|-------|-------------|--------|\n+| vercel/ai | [#12615](https://github.com/vercel/ai/issues/12615) | @ai-sdk/openai-compatible v3 upgrade | Filed |\n+\n+## Implementation (PR #178)\n+\n+The following changes were implemented to fix the warnings:\n+\n+### 1. AI SDK Warning Suppression (`js/src/flag/flag.ts`)\n+\n+Added `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default:", | |
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| "text": "Now I understand the context. The reviewer is asking:\n1. **\"Why we are suppressing warnings? Can we fix their root cause?\"** - This is a valid question about whether we should address the underlying issues rather than just suppressing them.\n\nLet me read the current implementation and investigate whether we can actually fix the root causes:" | |
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| "content": " 1→export namespace Flag {\n 2→ // Helper to check env vars with new prefix first, then fall back to old prefix for backwards compatibility\n 3→ function getEnv(newKey: string, oldKey: string): string | undefined {\n 4→ return process.env[newKey] ?? process.env[oldKey];\n 5→ }\n 6→\n 7→ /**\n 8→ * Suppress AI SDK warnings by default to avoid noise in CLI output.\n 9→ *\n 10→ * The AI SDK logs warnings to console for:\n 11→ * - specificationVersion v2 compatibility mode (when using @ai-sdk/openai-compatible)\n 12→ * - Model version mismatches\n 13→ *\n 14→ * These warnings are expected when using the OpenAI-compatible provider with AI SDK 6.x\n 15→ * since the provider still implements v2 specification.\n 16→ *\n 17→ * Users can re-enable warnings by setting:\n 18→ * - AGENT_ENABLE_AI_SDK_WARNINGS=true or 1\n 19→ * - AI_SDK_LOG_WARNINGS=true (native AI SDK flag)\n 20→ *\n 21→ * @see https://github.com/link-assistant/agent/issues/177\n 22→ * @see https://github.com/vercel/ai/issues/12615\n 23→ */\n 24→ export function initAISDKWarnings(): void {\n 25→ // Check if user explicitly wants AI SDK warnings\n 26→ const enableWarnings = truthy('AGENT_ENABLE_AI_SDK_WARNINGS');\n 27→\n 28→ // Suppress AI SDK warnings unless explicitly enabled\n 29→ // The globalThis.AI_SDK_LOG_WARNINGS flag is checked by the AI SDK before logging warnings\n 30→ if (\n 31→ !enableWarnings &&\n 32→ (globalThis as any).AI_SDK_LOG_WARNINGS === undefined\n 33→ ) {\n 34→ (globalThis as any).AI_SDK_LOG_WARNINGS = false;\n 35→ }\n 36→ }\n 37→\n 38→ function truthy(key: string) {\n 39→ const value = process.env[key]?.toLowerCase();\n 40→ return value === 'true' || value === '1';\n 41→ }\n 42→\n 43→ function truthyCompat(newKey: string, oldKey: string): boolean {\n 44→ const value = (getEnv(newKey, oldKey) ?? '').toLowerCase();\n 45→ return value === 'true' || value === '1';\n 46→ }\n 47→\n 48→ // LINK_ASSISTANT_AGENT_AUTO_SHARE removed - no sharing support\n 49→ export const OPENCODE_CONFIG = getEnv(\n 50→ 'LINK_ASSISTANT_AGENT_CONFIG',\n 51→ 'OPENCODE_CONFIG'\n 52→ );\n 53→ export const OPENCODE_CONFIG_DIR = getEnv(\n 54→ 'LINK_ASSISTANT_AGENT_CONFIG_DIR',\n 55→ 'OPENCODE_CONFIG_DIR'\n 56→ );\n 57→ export const OPENCODE_CONFIG_CONTENT = getEnv(\n 58→ 'LINK_ASSISTANT_AGENT_CONFIG_CONTENT',\n 59→ 'OPENCODE_CONFIG_CONTENT'\n 60→ );\n 61→ export const OPENCODE_DISABLE_AUTOUPDATE = truthyCompat(\n 62→ 'LINK_ASSISTANT_AGENT_DISABLE_AUTOUPDATE',\n 63→ 'OPENCODE_DISABLE_AUTOUPDATE'\n 64→ );\n 65→ export const OPENCODE_DISABLE_PRUNE = truthyCompat(\n 66→ 'LINK_ASSISTANT_AGENT_DISABLE_PRUNE',\n 67→ 'OPENCODE_DISABLE_PRUNE'\n 68→ );\n 69→ export const OPENCODE_ENABLE_EXPERIMENTAL_MODELS = truthyCompat(\n 70→ 'LINK_ASSISTANT_AGENT_ENABLE_EXPERIMENTAL_MODELS',\n 71→ 'OPENCODE_ENABLE_EXPERIMENTAL_MODELS'\n 72→ );\n 73→ export const OPENCODE_DISABLE_AUTOCOMPACT = truthyCompat(\n 74→ 'LINK_ASSISTANT_AGENT_DISABLE_AUTOCOMPACT',\n 75→ 'OPENCODE_DISABLE_AUTOCOMPACT'\n 76→ );\n 77→\n 78→ // Experimental\n 79→ export const OPENCODE_EXPERIMENTAL = truthyCompat(\n 80→ 'LINK_ASSISTANT_AGENT_EXPERIMENTAL',\n 81→ 'OPENCODE_EXPERIMENTAL'\n 82→ );\n 83→ export const OPENCODE_EXPERIMENTAL_WATCHER =\n 84→ OPENCODE_EXPERIMENTAL ||\n 85→ truthyCompat(\n 86→ 'LINK_ASSISTANT_AGENT_EXPERIMENTAL_WATCHER',\n 87→ 'OPENCODE_EXPERIMENTAL_WATCHER'\n 88→ );\n 89→\n 90→ // Verbose mode - enables detailed logging of API requests\n 91→ export let OPENCODE_VERBOSE = truthyCompat(\n 92→ 'LINK_ASSISTANT_AGENT_VERBOSE',\n 93→ 'OPENCODE_VERBOSE'\n 94→ );\n 95→\n 96→ // Dry run mode - simulate operations without making actual API calls or changes\n 97→ export let OPENCODE_DRY_RUN = truthyCompat(\n 98→ 'LINK_ASSISTANT_AGENT_DRY_RUN',\n 99→ 'OPENCODE_DRY_RUN'\n 100→ );\n 101→\n 102→ // Title generation configuration\n 103→ // When disabled, sessions will use default \"New session - {timestamp}\" titles\n 104→ // This saves tokens and prevents rate limit issues with free tier models\n 105→ // See: https://github.com/link-assistant/agent/issues/157\n 106→ export let GENERATE_TITLE = truthyCompat(\n 107→ 'LINK_ASSISTANT_AGENT_GENERATE_TITLE',\n 108→ 'AGENT_GENERATE_TITLE'\n 109→ );\n 110→\n 111→ // Allow setting title generation mode programmatically (e.g., from CLI --generate-title flag)\n 112→ export function setGenerateTitle(value: boolean) {\n 113→ GENERATE_TITLE = value;\n 114→ }\n 115→\n 116→ // Retry timeout configuration\n 117→ // Maximum total time to keep retrying for the same error type (default: 7 days in seconds)\n 118→ // For different error types, the timer resets\n 119→ // See: https://github.com/link-assistant/agent/issues/157\n 120→ export function RETRY_TIMEOUT(): number {\n 121→ const val = getEnv(\n 122→ 'LINK_ASSISTANT_AGENT_RETRY_TIMEOUT',\n 123→ 'AGENT_RETRY_TIMEOUT'\n 124→ );\n 125→ return val ? parseInt(val, 10) : 604800; // 7 days in seconds\n 126→ }\n 127→\n 128→ // Maximum delay for a single retry attempt (default: 20 minutes in milliseconds)\n 129→ export function MAX_RETRY_DELAY(): number {\n 130→ const val = getEnv(\n 131→ 'LINK_ASSISTANT_AGENT_MAX_RETRY_DELAY',\n 132→ 'AGENT_MAX_RETRY_DELAY'\n 133→ );\n 134→ return val ? parseInt(val, 10) * 1000 : 1200000; // 20 minutes in ms\n 135→ }\n 136→\n 137→ // Minimum retry interval to prevent rapid retries (default: 30 seconds)\n 138→ // This ensures we don't hammer the API with rapid retry attempts\n 139→ // See: https://github.com/link-assistant/agent/issues/167\n 140→ export function MIN_RETRY_INTERVAL(): number {\n 141→ const val = getEnv(\n 142→ 'LINK_ASSISTANT_AGENT_MIN_RETRY_INTERVAL',\n 143→ 'AGENT_MIN_RETRY_INTERVAL'\n 144→ );\n 145→ return val ? parseInt(val, 10) * 1000 : 30000; // 30 seconds in ms\n 146→ }\n 147→\n 148→ // Stream timeout configuration\n 149→ // chunkMs: timeout between stream chunks - detects stalled streams (default: 2 minutes)\n 150→ // stepMs: timeout for each individual LLM step (default: 10 minutes)\n 151→ export function STREAM_CHUNK_TIMEOUT_MS(): number {\n 152→ const val = getEnv(\n 153→ 'LINK_ASSISTANT_AGENT_STREAM_CHUNK_TIMEOUT_MS',\n 154→ 'AGENT_STREAM_CHUNK_TIMEOUT_MS'\n 155→ );\n 156→ return val ? parseInt(val, 10) : 120_000;\n 157→ }\n 158→\n 159→ export function STREAM_STEP_TIMEOUT_MS(): number {\n 160→ const val = getEnv(\n 161→ 'LINK_ASSISTANT_AGENT_STREAM_STEP_TIMEOUT_MS',\n 162→ 'AGENT_STREAM_STEP_TIMEOUT_MS'\n 163→ );\n 164→ return val ? parseInt(val, 10) : 600_000;\n 165→ }\n 166→\n 167→ // Compact JSON mode - output JSON on single lines (NDJSON format)\n 168→ // Enabled by AGENT_CLI_COMPACT env var or --compact-json flag\n 169→ // Uses getter to check env var at runtime for tests\n 170→ let _compactJson: boolean | null = null;\n 171→\n 172→ export function COMPACT_JSON(): boolean {\n 173→ if (_compactJson !== null) return _compactJson;\n 174→ return (\n 175→ truthy('AGENT_CLI_COMPACT') ||\n 176→ truthyCompat('LINK_ASSISTANT_AGENT_COMPACT_JSON', 'OPENCODE_COMPACT_JSON')\n 177→ );\n 178→ }\n 179→\n 180→ // Allow setting verbose mode programmatically (e.g., from CLI --verbose flag)\n 181→ export function setVerbose(value: boolean) {\n 182→ OPENCODE_VERBOSE = value;\n 183→ }\n 184→\n 185→ // Allow setting dry run mode programmatically (e.g., from CLI --dry-run flag)\n 186→ export function setDryRun(value: boolean) {\n 187→ OPENCODE_DRY_RUN = value;\n 188→ }\n 189→\n 190→ // Allow setting compact JSON mode programmatically (e.g., from CLI --compact-json flag)\n 191→ export function setCompactJson(value: boolean) {\n 192→ _compactJson = value;\n 193→ }\n 194→\n 195→ // Auto-initialize AI SDK warnings suppression when module is loaded\n 196→ // This ensures warnings are suppressed before any AI SDK imports\n 197→ // @see https://github.com/link-assistant/agent/issues/177\n 198→ initAISDKWarnings();\n 199→}\n 200→\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": "export namespace Flag {\n // Helper to check env vars with new prefix first, then fall back to old prefix for backwards compatibility\n function getEnv(newKey: string, oldKey: string): string | undefined {\n return process.env[newKey] ?? process.env[oldKey];\n }\n\n /**\n * Suppress AI SDK warnings by default to avoid noise in CLI output.\n *\n * The AI SDK logs warnings to console for:\n * - specificationVersion v2 compatibility mode (when using @ai-sdk/openai-compatible)\n * - Model version mismatches\n *\n * These warnings are expected when using the OpenAI-compatible provider with AI SDK 6.x\n * since the provider still implements v2 specification.\n *\n * Users can re-enable warnings by setting:\n * - AGENT_ENABLE_AI_SDK_WARNINGS=true or 1\n * - AI_SDK_LOG_WARNINGS=true (native AI SDK flag)\n *\n * @see https://github.com/link-assistant/agent/issues/177\n * @see https://github.com/vercel/ai/issues/12615\n */\n export function initAISDKWarnings(): void {\n // Check if user explicitly wants AI SDK warnings\n const enableWarnings = truthy('AGENT_ENABLE_AI_SDK_WARNINGS');\n\n // Suppress AI SDK warnings unless explicitly enabled\n // The globalThis.AI_SDK_LOG_WARNINGS flag is checked by the AI SDK before logging warnings\n if (\n !enableWarnings &&\n (globalThis as any).AI_SDK_LOG_WARNINGS === undefined\n ) {\n (globalThis as any).AI_SDK_LOG_WARNINGS = false;\n }\n }\n\n function truthy(key: string) {\n const value = process.env[key]?.toLowerCase();\n return value === 'true' || value === '1';\n }\n\n function truthyCompat(newKey: string, oldKey: string): boolean {\n const value = (getEnv(newKey, oldKey) ?? '').toLowerCase();\n return value === 'true' || value === '1';\n }\n\n // LINK_ASSISTANT_AGENT_AUTO_SHARE removed - no sharing support\n export const OPENCODE_CONFIG = getEnv(\n 'LINK_ASSISTANT_AGENT_CONFIG',\n 'OPENCODE_CONFIG'\n );\n export const OPENCODE_CONFIG_DIR = getEnv(\n 'LINK_ASSISTANT_AGENT_CONFIG_DIR',\n 'OPENCODE_CONFIG_DIR'\n );\n export const OPENCODE_CONFIG_CONTENT = getEnv(\n 'LINK_ASSISTANT_AGENT_CONFIG_CONTENT',\n 'OPENCODE_CONFIG_CONTENT'\n );\n export const OPENCODE_DISABLE_AUTOUPDATE = truthyCompat(\n 'LINK_ASSISTANT_AGENT_DISABLE_AUTOUPDATE',\n 'OPENCODE_DISABLE_AUTOUPDATE'\n );\n export const OPENCODE_DISABLE_PRUNE = truthyCompat(\n 'LINK_ASSISTANT_AGENT_DISABLE_PRUNE',\n 'OPENCODE_DISABLE_PRUNE'\n );\n export const OPENCODE_ENABLE_EXPERIMENTAL_MODELS = truthyCompat(\n 'LINK_ASSISTANT_AGENT_ENABLE_EXPERIMENTAL_MODELS',\n 'OPENCODE_ENABLE_EXPERIMENTAL_MODELS'\n );\n export const OPENCODE_DISABLE_AUTOCOMPACT = truthyCompat(\n 'LINK_ASSISTANT_AGENT_DISABLE_AUTOCOMPACT',\n 'OPENCODE_DISABLE_AUTOCOMPACT'\n );\n\n // Experimental\n export const OPENCODE_EXPERIMENTAL = truthyCompat(\n 'LINK_ASSISTANT_AGENT_EXPERIMENTAL',\n 'OPENCODE_EXPERIMENTAL'\n );\n export const OPENCODE_EXPERIMENTAL_WATCHER =\n OPENCODE_EXPERIMENTAL ||\n truthyCompat(\n 'LINK_ASSISTANT_AGENT_EXPERIMENTAL_WATCHER',\n 'OPENCODE_EXPERIMENTAL_WATCHER'\n );\n\n // Verbose mode - enables detailed logging of API requests\n export let OPENCODE_VERBOSE = truthyCompat(\n 'LINK_ASSISTANT_AGENT_VERBOSE',\n 'OPENCODE_VERBOSE'\n );\n\n // Dry run mode - simulate operations without making actual API calls or changes\n export let OPENCODE_DRY_RUN = truthyCompat(\n 'LINK_ASSISTANT_AGENT_DRY_RUN',\n 'OPENCODE_DRY_RUN'\n );\n\n // Title generation configuration\n // When disabled, sessions will use default \"New session - {timestamp}\" titles\n // This saves tokens and prevents rate limit issues with free tier models\n // See: https://github.com/link-assistant/agent/issues/157\n export let GENERATE_TITLE = truthyCompat(\n 'LINK_ASSISTANT_AGENT_GENERATE_TITLE',\n 'AGENT_GENERATE_TITLE'\n );\n\n // Allow setting title generation mode programmatically (e.g., from CLI --generate-title flag)\n export function setGenerateTitle(value: boolean) {\n GENERATE_TITLE = value;\n }\n\n // Retry timeout configuration\n // Maximum total time to keep retrying for the same error type (default: 7 days in seconds)\n // For different error types, the timer resets\n // See: https://github.com/link-assistant/agent/issues/157\n export function RETRY_TIMEOUT(): number {\n const val = getEnv(\n 'LINK_ASSISTANT_AGENT_RETRY_TIMEOUT',\n 'AGENT_RETRY_TIMEOUT'\n );\n return val ? parseInt(val, 10) : 604800; // 7 days in seconds\n }\n\n // Maximum delay for a single retry attempt (default: 20 minutes in milliseconds)\n export function MAX_RETRY_DELAY(): number {\n const val = getEnv(\n 'LINK_ASSISTANT_AGENT_MAX_RETRY_DELAY',\n 'AGENT_MAX_RETRY_DELAY'\n );\n return val ? parseInt(val, 10) * 1000 : 1200000; // 20 minutes in ms\n }\n\n // Minimum retry interval to prevent rapid retries (default: 30 seconds)\n // This ensures we don't hammer the API with rapid retry attempts\n // See: https://github.com/link-assistant/agent/issues/167\n export function MIN_RETRY_INTERVAL(): number {\n const val = getEnv(\n 'LINK_ASSISTANT_AGENT_MIN_RETRY_INTERVAL',\n 'AGENT_MIN_RETRY_INTERVAL'\n );\n return val ? parseInt(val, 10) * 1000 : 30000; // 30 seconds in ms\n }\n\n // Stream timeout configuration\n // chunkMs: timeout between stream chunks - detects stalled streams (default: 2 minutes)\n // stepMs: timeout for each individual LLM step (default: 10 minutes)\n export function STREAM_CHUNK_TIMEOUT_MS(): number {\n const val = getEnv(\n 'LINK_ASSISTANT_AGENT_STREAM_CHUNK_TIMEOUT_MS',\n 'AGENT_STREAM_CHUNK_TIMEOUT_MS'\n );\n return val ? 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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→ /**\n 71→ * Cache staleness threshold in milliseconds (1 hour).\n 72→ * If the cache is older than this, we await the refresh before using the data.\n 73→ */\n 74→ const CACHE_STALE_THRESHOLD_MS = 60 * 60 * 1000;\n 75→\n 76→ /**\n 77→ * Get the models database, refreshing from models.dev if needed.\n 78→ *\n 79→ * This function handles cache staleness properly:\n 80→ * - If cache doesn't exist: await refresh to ensure fresh data\n 81→ * - If cache is stale (> 1 hour old): await refresh to ensure up-to-date models\n 82→ * - If cache is fresh: trigger background refresh but use cached data immediately\n 83→ *\n 84→ * This prevents ProviderModelNotFoundError when:\n 85→ * - User runs agent for the first time (no cache)\n 86→ * - User has outdated cache missing new models like kimi-k2.5-free\n 87→ *\n 88→ * @see https://github.com/link-assistant/agent/issues/175\n 89→ */\n 90→ export async function get() {\n 91→ const file = Bun.file(filepath);\n 92→\n 93→ // Check if cache exists and get its modification time\n 94→ const exists = await file.exists();\n 95→\n 96→ if (!exists) {\n 97→ // No cache - must await refresh to get initial data\n 98→ log.info(() => ({\n 99→ message: 'no cache found, awaiting refresh',\n 100→ path: filepath,\n 101→ }));\n 102→ await refresh();\n 103→ } else {\n 104→ // Check if cache is stale\n 105→ const stats = await file.stat().catch(() => null);\n 106→ const mtime = stats?.mtime?.getTime() ?? 0;\n 107→ const isStale = Date.now() - mtime > CACHE_STALE_THRESHOLD_MS;\n 108→\n 109→ if (isStale) {\n 110→ // Stale cache - await refresh to get updated model list\n 111→ log.info(() => ({\n 112→ message: 'cache is stale, awaiting refresh',\n 113→ path: filepath,\n 114→ age: Date.now() - mtime,\n 115→ threshold: CACHE_STALE_THRESHOLD_MS,\n 116→ }));\n 117→ await refresh();\n 118→ } else {\n 119→ // Fresh cache - trigger background refresh but don't wait\n 120→ log.info(() => ({\n 121→ message: 'cache is fresh, triggering background refresh',\n 122→ path: filepath,\n 123→ age: Date.now() - mtime,\n 124→ }));\n 125→ refresh();\n 126→ }\n 127→ }\n 128→\n 129→ // Now read the cache file\n 130→ const result = await file.json().catch(() => {});\n 131→ if (result) return result as Record<string, Provider>;\n 132→\n 133→ // Fallback to bundled data if cache read failed\n 134→ // This is expected behavior when the cache is unavailable or corrupted\n 135→ // Using info level since bundled data is a valid fallback mechanism\n 136→ // @see https://github.com/link-assistant/agent/issues/177\n 137→ log.info(() => ({\n 138→ message: 'cache unavailable, using bundled data',\n 139→ path: filepath,\n 140→ }));\n 141→ const json = await data();\n 142→ return JSON.parse(json) as Record<string, Provider>;\n 143→ }\n 144→\n 145→ export async function refresh() {\n 146→ const file = Bun.file(filepath);\n 147→ log.info(() => ({ message: 'refreshing', file }));\n 148→ const result = await fetch('https://models.dev/api.json', {\n 149→ headers: {\n 150→ 'User-Agent': 'agent-cli/1.0.0',\n 151→ },\n 152→ signal: AbortSignal.timeout(10 * 1000),\n 153→ }).catch((e) => {\n 154→ log.error(() => ({\n 155→ message: 'Failed to fetch models.dev',\n 156→ error: e,\n 157→ }));\n 158→ });\n 159→ if (result && result.ok) await Bun.write(file, await result.text());\n 160→ }\n 161→}\n 162→\n 163→setInterval(() => ModelsDev.refresh(), 60 * 1000 * 60).unref();\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": "import { Global } from '../global';\nimport { Log } from '../util/log';\nimport path from 'path';\nimport z from 'zod';\nimport { data } from './models-macro';\n\nexport namespace ModelsDev {\n const log = Log.create({ service: 'models.dev' });\n const filepath = path.join(Global.Path.cache, 'models.json');\n\n export const Model = z\n .object({\n id: z.string(),\n name: z.string(),\n release_date: z.string(),\n attachment: z.boolean(),\n reasoning: z.boolean(),\n temperature: z.boolean(),\n tool_call: z.boolean(),\n cost: z.object({\n input: z.number(),\n output: z.number(),\n cache_read: z.number().optional(),\n cache_write: z.number().optional(),\n context_over_200k: z\n .object({\n input: z.number(),\n output: z.number(),\n cache_read: z.number().optional(),\n cache_write: z.number().optional(),\n })\n .optional(),\n }),\n limit: z.object({\n context: z.number(),\n output: z.number(),\n }),\n modalities: z\n .object({\n input: z.array(z.enum(['text', 'audio', 'image', 'video', 'pdf'])),\n output: z.array(z.enum(['text', 'audio', 'image', 'video', 'pdf'])),\n })\n .optional(),\n experimental: z.boolean().optional(),\n status: z.enum(['alpha', 'beta', 'deprecated']).optional(),\n options: z.record(z.string(), z.any()),\n headers: z.record(z.string(), z.string()).optional(),\n provider: z.object({ npm: z.string() }).optional(),\n })\n .meta({\n ref: 'Model',\n });\n export type Model = z.infer<typeof Model>;\n\n export const Provider = z\n .object({\n api: z.string().optional(),\n name: z.string(),\n env: z.array(z.string()),\n id: z.string(),\n npm: z.string().optional(),\n models: z.record(z.string(), Model),\n })\n .meta({\n ref: 'Provider',\n });\n\n export type Provider = z.infer<typeof Provider>;\n\n /**\n * Cache staleness threshold in milliseconds (1 hour).\n * If the cache is older than this, we await the refresh before using the data.\n */\n const CACHE_STALE_THRESHOLD_MS = 60 * 60 * 1000;\n\n /**\n * Get the models database, refreshing from models.dev if needed.\n *\n * This function handles cache staleness properly:\n * - If cache doesn't exist: await refresh to ensure fresh data\n * - If cache is stale (> 1 hour old): await refresh to ensure up-to-date models\n * - If cache is fresh: trigger background refresh but use cached data immediately\n *\n * This prevents ProviderModelNotFoundError when:\n * - User runs agent for the first time (no cache)\n * - User has outdated cache missing new models like kimi-k2.5-free\n *\n * @see https://github.com/link-assistant/agent/issues/175\n */\n export async function get() {\n const file = Bun.file(filepath);\n\n // Check if cache exists and get its modification time\n const exists = await file.exists();\n\n if (!exists) {\n // No cache - must await refresh to get initial data\n log.info(() => ({\n message: 'no cache found, awaiting refresh',\n path: filepath,\n }));\n await refresh();\n } else {\n // Check if cache is stale\n const stats = await file.stat().catch(() => null);\n const mtime = stats?.mtime?.getTime() ?? 0;\n const isStale = Date.now() - mtime > CACHE_STALE_THRESHOLD_MS;\n\n if (isStale) {\n // Stale cache - await refresh to get updated model list\n log.info(() => ({\n message: 'cache is stale, awaiting refresh',\n path: filepath,\n age: Date.now() - mtime,\n threshold: CACHE_STALE_THRESHOLD_MS,\n }));\n await refresh();\n } else {\n // Fresh cache - trigger background refresh but don't wait\n log.info(() => ({\n message: 'cache is fresh, triggering background refresh',\n path: filepath,\n age: Date.now() - mtime,\n }));\n refresh();\n }\n }\n\n // Now read the cache file\n const result = await file.json().catch(() => {});\n if (result) return result as Record<string, Provider>;\n\n // Fallback to bundled data if cache read failed\n // This is expected behavior when the cache is unavailable or corrupted\n // Using info level since bundled data is a valid fallback mechanism\n // @see https://github.com/link-assistant/agent/issues/177\n log.info(() => ({\n message: 'cache unavailable, using bundled data',\n path: filepath,\n }));\n const json = await data();\n return JSON.parse(json) as Record<string, Provider>;\n }\n\n export async function refresh() {\n const file = Bun.file(filepath);\n log.info(() => ({ message: 'refreshing', file }));\n const result = await fetch('https://models.dev/api.json', {\n headers: {\n 'User-Agent': 'agent-cli/1.0.0',\n },\n signal: AbortSignal.timeout(10 * 1000),\n }).catch((e) => {\n log.error(() => ({\n message: 'Failed to fetch models.dev',\n error: e,\n }));\n });\n if (result && result.ok) await Bun.write(file, await result.text());\n }\n}\n\nsetInterval(() => ModelsDev.refresh(), 60 * 1000 * 60).unref();\n", | |
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| "tool_use_id": "toolu_018JuhauvsWoNRuS7Sa46KGp", | |
| "type": "tool_result", | |
| "content": " 1→#!/usr/bin/env bun\n 2→// Import Flag module first to suppress AI SDK warnings before any AI SDK imports\n 3→// @see https://github.com/link-assistant/agent/issues/177\n 4→import { Flag } from './flag/flag.ts';\n 5→import { setProcessName } from './cli/process-name.ts';\n 6→setProcessName('agent');\n 7→\n 8→import { Server } from './server/server.ts';\n 9→import { Instance } from './project/instance.ts';\n 10→import { Log } from './util/log.ts';\n 11→// Bus is used via createBusEventSubscription in event-handler.js\n 12→import { Session } from './session/index.ts';\n 13→import { SessionPrompt } from './session/prompt.ts';\n 14→// EOL is reserved for future use\n 15→import yargs from 'yargs';\n 16→import { hideBin } from 'yargs/helpers';\n 17→import {\n 18→ createEventHandler,\n 19→ isValidJsonStandard,\n 20→} from './json-standard/index.ts';\n 21→import { McpCommand } from './cli/cmd/mcp.ts';\n 22→import { AuthCommand } from './cli/cmd/auth.ts';\n 23→import { FormatError } from './cli/error.ts';\n 24→import { UI } from './cli/ui.ts';\n 25→import {\n 26→ runContinuousServerMode,\n 27→ runContinuousDirectMode,\n 28→ resolveResumeSession,\n 29→} from './cli/continuous-mode.js';\n 30→import { createBusEventSubscription } from './cli/event-handler.js';\n 31→import {\n 32→ outputStatus,\n 33→ outputError,\n 34→ outputHelp,\n 35→ setCompactJson,\n 36→ outputInput,\n 37→} from './cli/output.ts';\n 38→import stripAnsi from 'strip-ansi';\n 39→import { createRequire } from 'module';\n 40→import { readFileSync } from 'fs';\n 41→import { dirname, join } from 'path';\n 42→import { fileURLToPath } from 'url';\n 43→\n 44→const require = createRequire(import.meta.url);\n 45→let pkg;\n 46→try {\n 47→ pkg = require('../package.json');\n 48→} catch (_e) {\n 49→ // Fallback: read package.json directly\n 50→ const __dirname = dirname(fileURLToPath(import.meta.url));\n 51→ const pkgPath = join(__dirname, '../package.json');\n 52→ const pkgContent = readFileSync(pkgPath, 'utf8');\n 53→ pkg = JSON.parse(pkgContent);\n 54→}\n 55→\n 56→// Track if any errors occurred during execution\n 57→let hasError = false;\n 58→\n 59→// Install global error handlers to ensure non-zero exit codes\n 60→process.on('uncaughtException', (error) => {\n 61→ hasError = true;\n 62→ outputError({\n 63→ errorType: error.name || 'UncaughtException',\n 64→ message: error.message,\n 65→ stack: error.stack,\n 66→ });\n 67→ process.exit(1);\n 68→});\n 69→\n 70→process.on('unhandledRejection', (reason, _promise) => {\n 71→ hasError = true;\n 72→ const errorOutput = {\n 73→ errorType: 'UnhandledRejection',\n 74→ message: reason?.message || String(reason),\n 75→ stack: reason?.stack,\n 76→ };\n 77→ // If the error has a data property with a suggestion (e.g., ProviderModelNotFoundError), add it as a hint\n 78→ if (reason?.data?.suggestion) {\n 79→ errorOutput.hint = reason.data.suggestion;\n 80→ }\n 81→ outputError(errorOutput);\n 82→ process.exit(1);\n 83→});\n 84→\n 85→/**\n 86→ * Read stdin with optional timeout.\n 87→ * @param {number|null} timeout - Timeout in milliseconds. If null, wait indefinitely until EOF.\n 88→ * @returns {Promise<string>} - The stdin content\n 89→ */\n 90→function readStdinWithTimeout(timeout = null) {\n 91→ return new Promise((resolve) => {\n 92→ let data = '';\n 93→ let hasData = false;\n 94→ let timer = null;\n 95→\n 96→ const cleanup = () => {\n 97→ if (timer) {\n 98→ clearTimeout(timer);\n 99→ }\n 100→ process.stdin.removeListener('data', onData);\n 101→ process.stdin.removeListener('end', onEnd);\n 102→ process.stdin.removeListener('error', onError);\n 103→ };\n 104→\n 105→ const onData = (chunk) => {\n 106→ hasData = true;\n 107→ if (timer) {\n 108→ clearTimeout(timer);\n 109→ }\n 110→ data += chunk;\n 111→ };\n 112→\n 113→ const onEnd = () => {\n 114→ cleanup();\n 115→ resolve(data);\n 116→ };\n 117→\n 118→ const onError = () => {\n 119→ cleanup();\n 120→ resolve('');\n 121→ };\n 122→\n 123→ // Only set timeout if specified (not null)\n 124→ if (timeout !== null) {\n 125→ timer = setTimeout(() => {\n 126→ if (!hasData) {\n 127→ process.stdin.pause();\n 128→ cleanup();\n 129→ resolve('');\n 130→ }\n 131→ }, timeout);\n 132→ }\n 133→\n 134→ process.stdin.on('data', onData);\n 135→ process.stdin.on('end', onEnd);\n 136→ process.stdin.on('error', onError);\n 137→ });\n 138→}\n 139→\n 140→// outputStatus is now imported from './cli/output.ts'\n 141→// It outputs to stdout for non-error messages, stderr for errors\n 142→\n 143→/**\n 144→ * Parse model configuration from argv\n 145→ * Supports both explicit provider/model format and short model names.\n 146→ *\n 147→ * Format examples:\n 148→ * - \"kilo/glm-5-free\" -> uses kilo provider with glm-5-free model (explicit)\n 149→ * - \"opencode/kimi-k2.5-free\" -> uses opencode provider (explicit)\n 150→ * - \"glm-5-free\" -> resolved to kilo provider (unique free model)\n 151→ * - \"kimi-k2.5-free\" -> resolved to opencode provider (shared model, opencode preferred)\n 152→ *\n 153→ * @param {object} argv - Command line arguments\n 154→ * @returns {object} - { providerID, modelID }\n 155→ */\n 156→async function parseModelConfig(argv) {\n 157→ const modelArg = argv.model;\n 158→\n 159→ let providerID;\n 160→ let modelID;\n 161→\n 162→ // Check if model includes explicit provider prefix\n 163→ if (modelArg.includes('/')) {\n 164→ // Explicit provider/model format - respect user's choice\n 165→ const modelParts = modelArg.split('/');\n 166→ providerID = modelParts[0];\n 167→ modelID = modelParts.slice(1).join('/');\n 168→\n 169→ // Validate that providerID and modelID are not empty\n 170→ if (!providerID || !modelID) {\n 171→ providerID = providerID || 'opencode';\n 172→ modelID = modelID || 'kimi-k2.5-free';\n 173→ }\n 174→\n 175→ // Log raw and parsed values to help diagnose model routing issues (#171)\n 176→ Log.Default.info(() => ({\n 177→ message: 'using explicit provider/model',\n 178→ rawModel: modelArg,\n 179→ providerID,\n 180→ modelID,\n 181→ }));\n 182→ } else {\n 183→ // Short model name - resolve to appropriate provider\n 184→ // Import Provider to use parseModelWithResolution\n 185→ const { Provider } = await import('./provider/provider.ts');\n 186→ const resolved = await Provider.parseModelWithResolution(modelArg);\n 187→ providerID = resolved.providerID;\n 188→ modelID = resolved.modelID;\n 189→\n 190→ Log.Default.info(() => ({\n 191→ message: 'resolved short model name',\n 192→ input: modelArg,\n 193→ providerID,\n 194→ modelID,\n 195→ }));\n 196→ }\n 197→\n 198→ // Handle --use-existing-claude-oauth option\n 199→ // This reads OAuth credentials from ~/.claude/.credentials.json (Claude Code CLI)\n 200→ // For new authentication, use: agent auth login (select Anthropic > Claude Pro/Max)\n 201→ if (argv['use-existing-claude-oauth']) {\n 202→ // Import ClaudeOAuth to check for credentials from Claude Code CLI\n 203→ const { ClaudeOAuth } = await import('./auth/claude-oauth.ts');\n 204→ const creds = await ClaudeOAuth.getCredentials();\n 205→\n 206→ if (!creds?.accessToken) {\n 207→ const compactJson = argv['compact-json'] === true;\n 208→ outputError(\n 209→ {\n 210→ errorType: 'AuthenticationError',\n 211→ message:\n 212→ 'No Claude OAuth credentials found in ~/.claude/.credentials.json. Either authenticate with Claude Code CLI first, or use: agent auth login (select Anthropic > Claude Pro/Max)',\n 213→ },\n 214→ compactJson\n 215→ );\n 216→ process.exit(1);\n 217→ }\n 218→\n 219→ // Set environment variable for the provider to use\n 220→ process.env.CLAUDE_CODE_OAUTH_TOKEN = creds.accessToken;\n 221→\n 222→ // If user specified the default model (opencode/kimi-k2.5-free), switch to claude-oauth\n 223→ // If user explicitly specified kilo or another provider, warn but respect their choice\n 224→ if (providerID === 'opencode' && modelID === 'kimi-k2.5-free') {\n 225→ providerID = 'claude-oauth';\n 226→ modelID = 'claude-sonnet-4-5';\n 227→ } else if (!['claude-oauth', 'anthropic'].includes(providerID)) {\n 228→ // If user specified a different provider explicitly, warn them\n 229→ const compactJson = argv['compact-json'] === true;\n 230→ outputStatus(\n 231→ {\n 232→ type: 'warning',\n 233→ message: `--use-existing-claude-oauth is set but model uses provider \"${providerID}\". Using specified provider.`,\n 234→ },\n 235→ compactJson\n 236→ );\n 237→ // Don't override - respect user's explicit provider choice\n 238→ }\n 239→ }\n 240→\n 241→ return { providerID, modelID };\n 242→}\n 243→\n 244→/**\n 245→ * Read system message from files if specified\n 246→ * @param {object} argv - Command line arguments\n 247→ * @returns {object} - { systemMessage, appendSystemMessage }\n 248→ */\n 249→async function readSystemMessages(argv) {\n 250→ let systemMessage = argv['system-message'];\n 251→ let appendSystemMessage = argv['append-system-message'];\n 252→\n 253→ if (argv['system-message-file']) {\n 254→ const resolvedPath = require('path').resolve(\n 255→ process.cwd(),\n 256→ argv['system-message-file']\n 257→ );\n 258→ const file = Bun.file(resolvedPath);\n 259→ if (!(await file.exists())) {\n 260→ outputError({\n 261→ errorType: 'FileNotFound',\n 262→ message: `System message file not found: ${argv['system-message-file']}`,\n 263→ });\n 264→ process.exit(1);\n 265→ }\n 266→ systemMessage = await file.text();\n 267→ }\n 268→\n 269→ if (argv['append-system-message-file']) {\n 270→ const resolvedPath = require('path').resolve(\n 271→ process.cwd(),\n 272→ argv['append-system-message-file']\n 273→ );\n 274→ const file = Bun.file(resolvedPath);\n 275→ if (!(await file.exists())) {\n 276→ outputError({\n 277→ errorType: 'FileNotFound',\n 278→ message: `Append system message file not found: ${argv['append-system-message-file']}`,\n 279→ });\n 280→ process.exit(1);\n 281→ }\n 282→ appendSystemMessage = await file.text();\n 283→ }\n 284→\n 285→ return { systemMessage, appendSystemMessage };\n 286→}\n 287→\n 288→async function runAgentMode(argv, request) {\n 289→ // Log version and command info in verbose mode using lazy logging\n 290→ Log.Default.info(() => ({\n 291→ message: 'Agent started',\n 292→ version: pkg.version,\n 293→ command: process.argv.join(' '),\n 294→ workingDirectory: process.cwd(),\n 295→ scriptPath: import.meta.path,\n 296→ }));\n 297→ if (Flag.OPENCODE_DRY_RUN) {\n 298→ Log.Default.info(() => ({\n 299→ message: 'Dry run mode enabled',\n 300→ mode: 'dry-run',\n 301→ }));\n 302→ }\n 303→\n 304→ // Validate and get JSON standard\n 305→ const jsonStandard = argv['json-standard'];\n 306→ if (!isValidJsonStandard(jsonStandard)) {\n 307→ outputStatus({\n 308→ type: 'error',\n 309→ errorType: 'ValidationError',\n 310→ message: `Invalid JSON standard: ${jsonStandard}. Use \"opencode\" or \"claude\".`,\n 311→ });\n 312→ process.exit(1);\n 313→ }\n 314→\n 315→ const { systemMessage, appendSystemMessage } = await readSystemMessages(argv);\n 316→\n 317→ // Logging is already initialized in middleware, no need to call Log.init() again\n 318→\n 319→ // Wrap in Instance.provide for OpenCode infrastructure\n 320→ // parseModelConfig must be called inside Instance.provide to access provider state\n 321→ await Instance.provide({\n 322→ directory: process.cwd(),\n 323→ fn: async () => {\n 324→ // Parse model config inside Instance.provide context\n 325→ // This allows parseModelWithResolution to access the provider state\n 326→ const { providerID, modelID } = await parseModelConfig(argv);\n 327→\n 328→ if (argv.server) {\n 329→ // SERVER MODE: Start server and communicate via HTTP\n 330→ await runServerMode(\n 331→ argv,\n 332→ request,\n 333→ providerID,\n 334→ modelID,\n 335→ systemMessage,\n 336→ appendSystemMessage,\n 337→ jsonStandard\n 338→ );\n 339→ } else {\n 340→ // DIRECT MODE: Run everything in single process\n 341→ await runDirectMode(\n 342→ argv,\n 343→ request,\n 344→ providerID,\n 345→ modelID,\n 346→ systemMessage,\n 347→ appendSystemMessage,\n 348→ jsonStandard\n 349→ );\n 350→ }\n 351→ },\n 352→ });\n 353→\n 354→ // Explicitly exit to ensure process terminates\n 355→ process.exit(hasError ? 1 : 0);\n 356→}\n 357→\n 358→/**\n 359→ * Run agent in continuous stdin mode\n 360→ * Keeps accepting input until EOF or SIGINT\n 361→ * @param {object} argv - Command line arguments\n 362→ */\n 363→async function runContinuousAgentMode(argv) {\n 364→ const compactJson = argv['compact-json'] === true;\n 365→ // Log version and command info in verbose mode using lazy logging\n 366→ Log.Default.info(() => ({\n 367→ message: 'Agent started (continuous mode)',\n 368→ version: pkg.version,\n 369→ command: process.argv.join(' '),\n 370→ workingDirectory: process.cwd(),\n 371→ scriptPath: import.meta.path,\n 372→ }));\n 373→ if (Flag.OPENCODE_DRY_RUN) {\n 374→ Log.Default.info(() => ({\n 375→ message: 'Dry run mode enabled',\n 376→ mode: 'dry-run',\n 377→ }));\n 378→ }\n 379→\n 380→ // Validate and get JSON standard\n 381→ const jsonStandard = argv['json-standard'];\n 382→ if (!isValidJsonStandard(jsonStandard)) {\n 383→ outputStatus(\n 384→ {\n 385→ type: 'error',\n 386→ message: `Invalid JSON standard: ${jsonStandard}. Use \"opencode\" or \"claude\".`,\n 387→ },\n 388→ compactJson\n 389→ );\n 390→ process.exit(1);\n 391→ }\n 392→\n 393→ const { systemMessage, appendSystemMessage } = await readSystemMessages(argv);\n 394→\n 395→ // Wrap in Instance.provide for OpenCode infrastructure\n 396→ // parseModelConfig must be called inside Instance.provide to access provider state\n 397→ await Instance.provide({\n 398→ directory: process.cwd(),\n 399→ fn: async () => {\n 400→ // Parse model config inside Instance.provide context\n 401→ // This allows parseModelWithResolution to access the provider state\n 402→ const { providerID, modelID } = await parseModelConfig(argv);\n 403→\n 404→ if (argv.server) {\n 405→ // SERVER MODE: Start server and communicate via HTTP\n 406→ await runContinuousServerMode(\n 407→ argv,\n 408→ providerID,\n 409→ modelID,\n 410→ systemMessage,\n 411→ appendSystemMessage,\n 412→ jsonStandard\n 413→ );\n 414→ } else {\n 415→ // DIRECT MODE: Run everything in single process\n 416→ await runContinuousDirectMode(\n 417→ argv,\n 418→ providerID,\n 419→ modelID,\n 420→ systemMessage,\n 421→ appendSystemMessage,\n 422→ jsonStandard\n 423→ );\n 424→ }\n 425→ },\n 426→ });\n 427→\n 428→ // Explicitly exit to ensure process terminates\n 429→ process.exit(hasError ? 1 : 0);\n 430→}\n 431→\n 432→async function runServerMode(\n 433→ argv,\n 434→ request,\n 435→ providerID,\n 436→ modelID,\n 437→ systemMessage,\n 438→ appendSystemMessage,\n 439→ jsonStandard\n 440→) {\n 441→ const compactJson = argv['compact-json'] === true;\n 442→\n 443→ // Start server like OpenCode does\n 444→ const server = Server.listen({ port: 0, hostname: '127.0.0.1' });\n 445→ let unsub = null;\n 446→\n 447→ try {\n 448→ // Check if we should resume an existing session\n 449→ const resumeInfo = await resolveResumeSession(argv, compactJson);\n 450→\n 451→ let sessionID;\n 452→\n 453→ if (resumeInfo) {\n 454→ // Use the resumed/forked session\n 455→ sessionID = resumeInfo.sessionID;\n 456→ } else {\n 457→ // Create a new session\n 458→ const createRes = await fetch(\n 459→ `http://${server.hostname}:${server.port}/session`,\n 460→ {\n 461→ method: 'POST',\n 462→ headers: { 'Content-Type': 'application/json' },\n 463→ body: JSON.stringify({}),\n 464→ }\n 465→ );\n 466→ const session = await createRes.json();\n 467→ sessionID = session.id;\n 468→\n 469→ if (!sessionID) {\n 470→ throw new Error('Failed to create session');\n 471→ }\n 472→ }\n 473→\n 474→ // Create event handler for the selected JSON standard\n 475→ const eventHandler = createEventHandler(jsonStandard, sessionID);\n 476→\n 477→ // Subscribe to all bus events and output in selected format\n 478→ const { unsub: eventUnsub, idlePromise: eventPromise } =\n 479→ createBusEventSubscription({\n 480→ sessionID,\n 481→ eventHandler,\n 482→ onError: () => {\n 483→ hasError = true;\n 484→ },\n 485→ });\n 486→ unsub = eventUnsub;\n 487→\n 488→ // Send message to session with specified model (default: opencode/grok-code)\n 489→ const message = request.message || 'hi';\n 490→ const parts = [{ type: 'text', text: message }];\n 491→\n 492→ // Start the prompt (don't wait for response, events come via Bus)\n 493→ fetch(\n 494→ `http://${server.hostname}:${server.port}/session/${sessionID}/message`,\n 495→ {\n 496→ method: 'POST',\n 497→ headers: { 'Content-Type': 'application/json' },\n 498→ body: JSON.stringify({\n 499→ parts,\n 500→ model: {\n 501→ providerID,\n 502→ modelID,\n 503→ },\n 504→ system: systemMessage,\n 505→ appendSystem: appendSystemMessage,\n 506→ }),\n 507→ }\n 508→ ).catch((error) => {\n 509→ hasError = true;\n 510→ eventHandler.output({\n 511→ type: 'error',\n 512→ timestamp: Date.now(),\n 513→ sessionID,\n 514→ error: error instanceof Error ? error.message : String(error),\n 515→ });\n 516→ });\n 517→\n 518→ // Wait for session to become idle\n 519→ await eventPromise;\n 520→ } finally {\n 521→ // Always clean up resources\n 522→ if (unsub) {\n 523→ unsub();\n 524→ }\n 525→ server.stop();\n 526→ await Instance.dispose();\n 527→ }\n 528→}\n 529→\n 530→async function runDirectMode(\n 531→ argv,\n 532→ request,\n 533→ providerID,\n 534→ modelID,\n 535→ systemMessage,\n 536→ appendSystemMessage,\n 537→ jsonStandard\n 538→) {\n 539→ const compactJson = argv['compact-json'] === true;\n 540→\n 541→ // DIRECT MODE: Run in single process without server\n 542→ let unsub = null;\n 543→\n 544→ try {\n 545→ // Check if we should resume an existing session\n 546→ const resumeInfo = await resolveResumeSession(argv, compactJson);\n 547→\n 548→ let sessionID;\n 549→\n 550→ if (resumeInfo) {\n 551→ // Use the resumed/forked session\n 552→ sessionID = resumeInfo.sessionID;\n 553→ } else {\n 554→ // Create a new session directly\n 555→ const session = await Session.createNext({\n 556→ directory: process.cwd(),\n 557→ });\n 558→ sessionID = session.id;\n 559→ }\n 560→\n 561→ // Create event handler for the selected JSON standard\n 562→ const eventHandler = createEventHandler(jsonStandard, sessionID);\n 563→\n 564→ // Subscribe to all bus events and output in selected format\n 565→ const { unsub: eventUnsub, idlePromise: eventPromise } =\n 566→ createBusEventSubscription({\n 567→ sessionID,\n 568→ eventHandler,\n 569→ onError: () => {\n 570→ hasError = true;\n 571→ },\n 572→ });\n 573→ unsub = eventUnsub;\n 574→\n 575→ // Send message to session directly\n 576→ const message = request.message || 'hi';\n 577→ const parts = [{ type: 'text', text: message }];\n 578→\n 579→ // Start the prompt directly without HTTP\n 580→ SessionPrompt.prompt({\n 581→ sessionID,\n 582→ parts,\n 583→ model: {\n 584→ providerID,\n 585→ modelID,\n 586→ },\n 587→ system: systemMessage,\n 588→ appendSystem: appendSystemMessage,\n 589→ }).catch((error) => {\n 590→ hasError = true;\n 591→ eventHandler.output({\n 592→ type: 'error',\n 593→ timestamp: Date.now(),\n 594→ sessionID,\n 595→ error: error instanceof Error ? error.message : String(error),\n 596→ });\n 597→ });\n 598→\n 599→ // Wait for session to become idle\n 600→ await eventPromise;\n 601→ } finally {\n 602→ // Always clean up resources\n 603→ if (unsub) {\n 604→ unsub();\n 605→ }\n 606→ await Instance.dispose();\n 607→ }\n 608→}\n 609→\n 610→async function main() {\n 611→ try {\n 612→ // Parse command line arguments with subcommands\n 613→ const yargsInstance = yargs(hideBin(process.argv))\n 614→ .scriptName('agent')\n 615→ .usage('$0 [command] [options]')\n 616→ .version(pkg.version)\n 617→ // MCP subcommand\n 618→ .command(McpCommand)\n 619→ // Auth subcommand\n 620→ .command(AuthCommand)\n 621→ // Default command for agent mode (when no subcommand specified)\n 622→ .command({\n 623→ command: '$0',\n 624→ describe: 'Run agent in interactive or stdin mode (default)',\n 625→ builder: (yargs) =>\n 626→ yargs\n 627→ .option('model', {\n 628→ type: 'string',\n 629→ description: 'Model to use in format providerID/modelID',\n 630→ default: 'opencode/kimi-k2.5-free',\n 631→ })\n 632→ .option('json-standard', {\n 633→ type: 'string',\n 634→ description:\n 635→ 'JSON output format standard: \"opencode\" (default) or \"claude\" (experimental)',\n 636→ default: 'opencode',\n 637→ choices: ['opencode', 'claude'],\n 638→ })\n 639→ .option('system-message', {\n 640→ type: 'string',\n 641→ description: 'Full override of the system message',\n 642→ })\n 643→ .option('system-message-file', {\n 644→ type: 'string',\n 645→ description: 'Full override of the system message from file',\n 646→ })\n 647→ .option('append-system-message', {\n 648→ type: 'string',\n 649→ description: 'Append to the default system message',\n 650→ })\n 651→ .option('append-system-message-file', {\n 652→ type: 'string',\n 653→ description: 'Append to the default system message from file',\n 654→ })\n 655→ .option('server', {\n 656→ type: 'boolean',\n 657→ description: 'Run in server mode (default)',\n 658→ default: true,\n 659→ })\n 660→ .option('verbose', {\n 661→ type: 'boolean',\n 662→ description:\n 663→ 'Enable verbose mode to debug API requests (shows system prompt, token counts, etc.)',\n 664→ default: false,\n 665→ })\n 666→ .option('dry-run', {\n 667→ type: 'boolean',\n 668→ description:\n 669→ 'Simulate operations without making actual API calls or package installations (useful for testing)',\n 670→ default: false,\n 671→ })\n 672→ .option('use-existing-claude-oauth', {\n 673→ type: 'boolean',\n 674→ description:\n 675→ 'Use existing Claude OAuth credentials from ~/.claude/.credentials.json (from Claude Code CLI)',\n 676→ default: false,\n 677→ })\n 678→ .option('prompt', {\n 679→ alias: 'p',\n 680→ type: 'string',\n 681→ description:\n 682→ 'Prompt message to send directly (bypasses stdin reading)',\n 683→ })\n 684→ .option('disable-stdin', {\n 685→ type: 'boolean',\n 686→ description:\n 687→ 'Disable stdin streaming mode (requires --prompt or shows help)',\n 688→ default: false,\n 689→ })\n 690→ .option('stdin-stream-timeout', {\n 691→ type: 'number',\n 692→ description:\n 693→ 'Optional timeout in milliseconds for stdin reading (default: no timeout)',\n 694→ })\n 695→ .option('auto-merge-queued-messages', {\n 696→ type: 'boolean',\n 697→ description:\n 698→ 'Enable auto-merging of rapidly arriving input lines into single messages (default: true)',\n 699→ default: true,\n 700→ })\n 701→ .option('interactive', {\n 702→ type: 'boolean',\n 703→ description:\n 704→ 'Enable interactive mode to accept manual input as plain text strings (default: true). Use --no-interactive to only accept JSON input.',\n 705→ default: true,\n 706→ })\n 707→ .option('always-accept-stdin', {\n 708→ type: 'boolean',\n 709→ description:\n 710→ 'Keep accepting stdin input even after the agent finishes work (default: true). Use --no-always-accept-stdin for single-message mode.',\n 711→ default: true,\n 712→ })\n 713→ .option('compact-json', {\n 714→ type: 'boolean',\n 715→ description:\n 716→ 'Output compact JSON (single line) instead of pretty-printed JSON (default: false). Useful for program-to-program communication.',\n 717→ default: false,\n 718→ })\n 719→ .option('resume', {\n 720→ alias: 'r',\n 721→ type: 'string',\n 722→ description:\n 723→ 'Resume a specific session by ID. By default, forks the session with a new UUID. Use --no-fork to continue in the same session.',\n 724→ })\n 725→ .option('continue', {\n 726→ alias: 'c',\n 727→ type: 'boolean',\n 728→ description:\n 729→ 'Continue the most recent session. By default, forks the session with a new UUID. Use --no-fork to continue in the same session.',\n 730→ default: false,\n 731→ })\n 732→ .option('no-fork', {\n 733→ type: 'boolean',\n 734→ description:\n 735→ 'When used with --resume or --continue, continue in the same session without forking to a new UUID.',\n 736→ default: false,\n 737→ })\n 738→ .option('generate-title', {\n 739→ type: 'boolean',\n 740→ description:\n 741→ 'Generate session titles using AI (default: false). Disabling saves tokens and prevents rate limit issues.',\n 742→ default: false,\n 743→ })\n 744→ .option('retry-timeout', {\n 745→ type: 'number',\n 746→ description:\n 747→ 'Maximum total retry time in seconds for rate limit errors (default: 604800 = 7 days)',\n 748→ }),\n 749→ handler: async (argv) => {\n 750→ // Check both CLI flag and environment variable for compact JSON mode\n 751→ const compactJson =\n 752→ argv['compact-json'] === true || Flag.COMPACT_JSON();\n 753→\n 754→ // Check if --prompt flag was provided\n 755→ if (argv.prompt) {\n 756→ // Direct prompt mode - bypass stdin entirely\n 757→ const request = { message: argv.prompt };\n 758→ await runAgentMode(argv, request);\n 759→ return;\n 760→ }\n 761→\n 762→ // Check if --disable-stdin was set without --prompt\n 763→ if (argv['disable-stdin']) {\n 764→ // Output a helpful message suggesting to use --prompt\n 765→ outputError(\n 766→ {\n 767→ errorType: 'ValidationError',\n 768→ message:\n 769→ 'No prompt provided. Use -p/--prompt to specify a message, or remove --disable-stdin to read from stdin.',\n 770→ hint: 'Example: agent -p \"Hello, how are you?\"',\n 771→ },\n 772→ compactJson\n 773→ );\n 774→ process.exit(1);\n 775→ }\n 776→\n 777→ // Check if stdin is a TTY (interactive terminal)\n 778→ if (process.stdin.isTTY) {\n 779→ // Enter interactive terminal mode with continuous listening\n 780→ const isInteractive = argv.interactive !== false;\n 781→ const autoMerge = argv['auto-merge-queued-messages'] !== false;\n 782→ const alwaysAcceptStdin = argv['always-accept-stdin'] !== false;\n 783→\n 784→ // Exit if --no-always-accept-stdin is set (single message mode not supported in TTY)\n 785→ if (!alwaysAcceptStdin) {\n 786→ outputError(\n 787→ {\n 788→ errorType: 'ValidationError',\n 789→ message:\n 790→ 'Single message mode (--no-always-accept-stdin) is not supported in interactive terminal mode.',\n 791→ hint: 'Use piped input or --prompt for single messages.',\n 792→ },\n 793→ compactJson\n 794→ );\n 795→ process.exit(1);\n 796→ }\n 797→\n 798→ outputStatus(\n 799→ {\n 800→ type: 'status',\n 801→ mode: 'interactive-terminal',\n 802→ message:\n 803→ 'Agent CLI in interactive terminal mode. Type your message and press Enter.',\n 804→ hint: 'Press CTRL+C to exit. Use --help for options.',\n 805→ acceptedFormats: isInteractive\n 806→ ? ['JSON object with \"message\" field', 'Plain text']\n 807→ : ['JSON object with \"message\" field'],\n 808→ options: {\n 809→ interactive: isInteractive,\n 810→ autoMergeQueuedMessages: autoMerge,\n 811→ alwaysAcceptStdin,\n 812→ compactJson,\n 813→ },\n 814→ },\n 815→ compactJson\n 816→ );\n 817→\n 818→ // Use continuous mode for interactive terminal\n 819→ await runContinuousAgentMode(argv);\n 820→ return;\n 821→ }\n 822→\n 823→ // stdin is piped - enter stdin listening mode\n 824→ const isInteractive = argv.interactive !== false;\n 825→ const autoMerge = argv['auto-merge-queued-messages'] !== false;\n 826→ const alwaysAcceptStdin = argv['always-accept-stdin'] !== false;\n 827→\n 828→ outputStatus(\n 829→ {\n 830→ type: 'status',\n 831→ mode: 'stdin-stream',\n 832→ message: alwaysAcceptStdin\n 833→ ? 'Agent CLI in continuous listening mode. Accepts JSON and plain text input.'\n 834→ : 'Agent CLI in single-message mode. Accepts JSON and plain text input.',\n 835→ hint: 'Press CTRL+C to exit. Use --help for options.',\n 836→ acceptedFormats: isInteractive\n 837→ ? ['JSON object with \"message\" field', 'Plain text']\n 838→ : ['JSON object with \"message\" field'],\n 839→ options: {\n 840→ interactive: isInteractive,\n 841→ autoMergeQueuedMessages: autoMerge,\n 842→ alwaysAcceptStdin,\n 843→ compactJson,\n 844→ },\n 845→ },\n 846→ compactJson\n 847→ );\n 848→\n 849→ // Use continuous mode if --always-accept-stdin is enabled (default)\n 850→ if (alwaysAcceptStdin) {\n 851→ await runContinuousAgentMode(argv);\n 852→ return;\n 853→ }\n 854→\n 855→ // Single-message mode (--no-always-accept-stdin)\n 856→ const timeout = argv['stdin-stream-timeout'] ?? null;\n 857→ const input = await readStdinWithTimeout(timeout);\n 858→ const trimmedInput = input.trim();\n 859→\n 860→ if (trimmedInput === '') {\n 861→ outputStatus(\n 862→ {\n 863→ type: 'status',\n 864→ message: 'No input received. Exiting.',\n 865→ },\n 866→ compactJson\n 867→ );\n 868→ yargsInstance.showHelp();\n 869→ process.exit(0);\n 870→ }\n 871→\n 872→ // Try to parse as JSON, if it fails treat it as plain text message\n 873→ let request;\n 874→ try {\n 875→ request = JSON.parse(trimmedInput);\n 876→ } catch (_e) {\n 877→ // Not JSON\n 878→ if (!isInteractive) {\n 879→ // In non-interactive mode, only accept JSON\n 880→ outputError(\n 881→ {\n 882→ errorType: 'ValidationError',\n 883→ message:\n 884→ 'Invalid JSON input. In non-interactive mode (--no-interactive), only JSON input is accepted.',\n 885→ hint: 'Use --interactive to accept plain text, or provide valid JSON: {\"message\": \"your text\"}',\n 886→ },\n 887→ compactJson\n 888→ );\n 889→ process.exit(1);\n 890→ }\n 891→ // In interactive mode, treat as plain text message\n 892→ request = {\n 893→ message: trimmedInput,\n 894→ };\n 895→ }\n 896→\n 897→ // Output input confirmation in JSON format\n 898→ outputInput(\n 899→ {\n 900→ raw: trimmedInput,\n 901→ parsed: request,\n 902→ format: isInteractive ? 'text' : 'json',\n 903→ },\n 904→ compactJson\n 905→ );\n 906→\n 907→ // Run agent mode\n 908→ await runAgentMode(argv, request);\n 909→ },\n 910→ })\n 911→ // Initialize logging early for all CLI commands\n 912→ // This prevents debug output from appearing in CLI unless --verbose is used\n 913→ .middleware(async (argv) => {\n 914→ // Set global compact JSON setting (CLI flag or environment variable)\n 915→ const isCompact = argv['compact-json'] === true || Flag.COMPACT_JSON();\n 916→ if (isCompact) {\n 917→ setCompactJson(true);\n 918→ }\n 919→\n 920→ // Set verbose flag if requested\n 921→ if (argv.verbose) {\n 922→ Flag.setVerbose(true);\n 923→ }\n 924→\n 925→ // Set dry-run flag if requested\n 926→ if (argv['dry-run']) {\n 927→ Flag.setDryRun(true);\n 928→ }\n 929→\n 930→ // Set generate-title flag if explicitly enabled\n 931→ // Default is false to save tokens and prevent rate limit issues\n 932→ // See: https://github.com/link-assistant/agent/issues/157\n 933→ if (argv['generate-title'] === true) {\n 934→ Flag.setGenerateTitle(true);\n 935→ }\n 936→\n 937→ // Initialize logging system\n 938→ // - Print logs to stdout only when verbose for clean CLI output\n 939→ // - Use verbose flag to enable DEBUG level logging\n 940→ await Log.init({\n 941→ print: Flag.OPENCODE_VERBOSE, // Output logs only when verbose for clean CLI output\n 942→ level: Flag.OPENCODE_VERBOSE ? 'DEBUG' : 'INFO',\n 943→ compactJson: isCompact,\n 944→ });\n 945→ })\n 946→ .fail((msg, err, yargs) => {\n 947→ // Handle errors from command handlers\n 948→ if (err) {\n 949→ // Check if it's a CancelledError (user pressed ESC)\n 950→ if (UI.CancelledError.isInstance(err)) {\n 951→ // Exit silently without showing error or help text\n 952→ process.exit(0);\n 953→ }\n 954→\n 955→ // Format other errors using FormatError\n 956→ const formatted = FormatError(err);\n 957→ if (formatted) {\n 958→ outputError({\n 959→ errorType: err.name || 'Error',\n 960→ message: formatted,\n 961→ });\n 962→ } else {\n 963→ // Fallback to default error formatting\n 964→ outputError({\n 965→ errorType: err.name || 'Error',\n 966→ message: err.message || String(err),\n 967→ });\n 968→ }\n 969→ process.exit(1);\n 970→ }\n 971→\n 972→ // Handle validation messages (msg without err) - informational, not an error\n 973→ // Display help text on stdout (industry standard: git, gh, npm all use stdout for help)\n 974→ if (msg) {\n 975→ outputHelp({\n 976→ message: msg,\n 977→ hint: stripAnsi(yargs.help()),\n 978→ });\n 979→ process.exit(0);\n 980→ }\n 981→ })\n 982→ .help();\n 983→\n 984→ // Parse arguments (handlers will be called automatically)\n 985→ await yargsInstance.argv;\n 986→ } catch (error) {\n 987→ hasError = true;\n 988→ outputError({\n 989→ timestamp: Date.now(),\n 990→ errorType: error instanceof Error ? error.name : 'Error',\n 991→ message: error instanceof Error ? error.message : String(error),\n 992→ stack: error instanceof Error ? error.stack : undefined,\n 993→ });\n 994→ process.exit(1);\n 995→ }\n 996→}\n 997→\n 998→main();\n 999→\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": "4f4bbee1-f387-4522-b4b9-b12a458c9f13", | |
| "uuid": "05ba32b9-dd60-4e76-8156-556df91ef62d", | |
| "tool_use_result": { | |
| "type": "text", | |
| "file": { | |
| "filePath": "/tmp/gh-issue-solver-1771145558194/js/src/index.js", | |
| "content": "#!/usr/bin/env bun\n// Import Flag module first to suppress AI SDK warnings before any AI SDK imports\n// @see https://github.com/link-assistant/agent/issues/177\nimport { Flag } from './flag/flag.ts';\nimport { setProcessName } from './cli/process-name.ts';\nsetProcessName('agent');\n\nimport { Server } from './server/server.ts';\nimport { Instance } from './project/instance.ts';\nimport { Log } from './util/log.ts';\n// Bus is used via createBusEventSubscription in event-handler.js\nimport { Session } from './session/index.ts';\nimport { SessionPrompt } from './session/prompt.ts';\n// EOL is reserved for future use\nimport yargs from 'yargs';\nimport { hideBin } from 'yargs/helpers';\nimport {\n createEventHandler,\n isValidJsonStandard,\n} from './json-standard/index.ts';\nimport { McpCommand } from './cli/cmd/mcp.ts';\nimport { AuthCommand } from './cli/cmd/auth.ts';\nimport { FormatError } from './cli/error.ts';\nimport { UI } from './cli/ui.ts';\nimport {\n runContinuousServerMode,\n runContinuousDirectMode,\n resolveResumeSession,\n} from './cli/continuous-mode.js';\nimport { createBusEventSubscription } from './cli/event-handler.js';\nimport {\n outputStatus,\n outputError,\n outputHelp,\n setCompactJson,\n outputInput,\n} from './cli/output.ts';\nimport stripAnsi from 'strip-ansi';\nimport { createRequire } from 'module';\nimport { readFileSync } from 'fs';\nimport { dirname, join } from 'path';\nimport { fileURLToPath } from 'url';\n\nconst require = createRequire(import.meta.url);\nlet pkg;\ntry {\n pkg = require('../package.json');\n} catch (_e) {\n // Fallback: read package.json directly\n const __dirname = dirname(fileURLToPath(import.meta.url));\n const pkgPath = join(__dirname, '../package.json');\n const pkgContent = readFileSync(pkgPath, 'utf8');\n pkg = JSON.parse(pkgContent);\n}\n\n// Track if any errors occurred during execution\nlet hasError = false;\n\n// Install global error handlers to ensure non-zero exit codes\nprocess.on('uncaughtException', (error) => {\n hasError = true;\n outputError({\n errorType: error.name || 'UncaughtException',\n message: error.message,\n stack: error.stack,\n });\n process.exit(1);\n});\n\nprocess.on('unhandledRejection', (reason, _promise) => {\n hasError = true;\n const errorOutput = {\n errorType: 'UnhandledRejection',\n message: reason?.message || String(reason),\n stack: reason?.stack,\n };\n // If the error has a data property with a suggestion (e.g., ProviderModelNotFoundError), add it as a hint\n if (reason?.data?.suggestion) {\n errorOutput.hint = reason.data.suggestion;\n }\n outputError(errorOutput);\n process.exit(1);\n});\n\n/**\n * Read stdin with optional timeout.\n * @param {number|null} timeout - Timeout in milliseconds. If null, wait indefinitely until EOF.\n * @returns {Promise<string>} - The stdin content\n */\nfunction readStdinWithTimeout(timeout = null) {\n return new Promise((resolve) => {\n let data = '';\n let hasData = false;\n let timer = null;\n\n const cleanup = () => {\n if (timer) {\n clearTimeout(timer);\n }\n process.stdin.removeListener('data', onData);\n process.stdin.removeListener('end', onEnd);\n process.stdin.removeListener('error', onError);\n };\n\n const onData = (chunk) => {\n hasData = true;\n if (timer) {\n clearTimeout(timer);\n }\n data += chunk;\n };\n\n const onEnd = () => {\n cleanup();\n resolve(data);\n };\n\n const onError = () => {\n cleanup();\n resolve('');\n };\n\n // Only set timeout if specified (not null)\n if (timeout !== null) {\n timer = setTimeout(() => {\n if (!hasData) {\n process.stdin.pause();\n cleanup();\n resolve('');\n }\n }, timeout);\n }\n\n process.stdin.on('data', onData);\n process.stdin.on('end', onEnd);\n process.stdin.on('error', onError);\n });\n}\n\n// outputStatus is now imported from './cli/output.ts'\n// It outputs to stdout for non-error messages, stderr for errors\n\n/**\n * Parse model configuration from argv\n * Supports both explicit provider/model format and short model names.\n *\n * Format examples:\n * - \"kilo/glm-5-free\" -> uses kilo provider with glm-5-free model (explicit)\n * - \"opencode/kimi-k2.5-free\" -> uses opencode provider (explicit)\n * - \"glm-5-free\" -> resolved to kilo provider (unique free model)\n * - \"kimi-k2.5-free\" -> resolved to opencode provider (shared model, opencode preferred)\n *\n * @param {object} argv - Command line arguments\n * @returns {object} - { providerID, modelID }\n */\nasync function parseModelConfig(argv) {\n const modelArg = argv.model;\n\n let providerID;\n let modelID;\n\n // Check if model includes explicit provider prefix\n if (modelArg.includes('/')) {\n // Explicit provider/model format - respect user's choice\n const modelParts = modelArg.split('/');\n providerID = modelParts[0];\n modelID = modelParts.slice(1).join('/');\n\n // Validate that providerID and modelID are not empty\n if (!providerID || !modelID) {\n providerID = providerID || 'opencode';\n modelID = modelID || 'kimi-k2.5-free';\n }\n\n // Log raw and parsed values to help diagnose model routing issues (#171)\n Log.Default.info(() => ({\n message: 'using explicit provider/model',\n rawModel: modelArg,\n providerID,\n modelID,\n }));\n } else {\n // Short model name - resolve to appropriate provider\n // Import Provider to use parseModelWithResolution\n const { Provider } = await import('./provider/provider.ts');\n const resolved = await Provider.parseModelWithResolution(modelArg);\n providerID = resolved.providerID;\n modelID = resolved.modelID;\n\n Log.Default.info(() => ({\n message: 'resolved short model name',\n input: modelArg,\n providerID,\n modelID,\n }));\n }\n\n // Handle --use-existing-claude-oauth option\n // This reads OAuth credentials from ~/.claude/.credentials.json (Claude Code CLI)\n // For new authentication, use: agent auth login (select Anthropic > Claude Pro/Max)\n if (argv['use-existing-claude-oauth']) {\n // Import ClaudeOAuth to check for credentials from Claude Code CLI\n const { ClaudeOAuth } = await import('./auth/claude-oauth.ts');\n const creds = await ClaudeOAuth.getCredentials();\n\n if (!creds?.accessToken) {\n const compactJson = argv['compact-json'] === true;\n outputError(\n {\n errorType: 'AuthenticationError',\n message:\n 'No Claude OAuth credentials found in ~/.claude/.credentials.json. Either authenticate with Claude Code CLI first, or use: agent auth login (select Anthropic > Claude Pro/Max)',\n },\n compactJson\n );\n process.exit(1);\n }\n\n // Set environment variable for the provider to use\n process.env.CLAUDE_CODE_OAUTH_TOKEN = creds.accessToken;\n\n // If user specified the default model (opencode/kimi-k2.5-free), switch to claude-oauth\n // If user explicitly specified kilo or another provider, warn but respect their choice\n if (providerID === 'opencode' && modelID === 'kimi-k2.5-free') {\n providerID = 'claude-oauth';\n modelID = 'claude-sonnet-4-5';\n } else if (!['claude-oauth', 'anthropic'].includes(providerID)) {\n // If user specified a different provider explicitly, warn them\n const compactJson = argv['compact-json'] === true;\n outputStatus(\n {\n type: 'warning',\n message: `--use-existing-claude-oauth is set but model uses provider \"${providerID}\". Using specified provider.`,\n },\n compactJson\n );\n // Don't override - respect user's explicit provider choice\n }\n }\n\n return { providerID, modelID };\n}\n\n/**\n * Read system message from files if specified\n * @param {object} argv - Command line arguments\n * @returns {object} - { systemMessage, appendSystemMessage }\n */\nasync function readSystemMessages(argv) {\n let systemMessage = argv['system-message'];\n let appendSystemMessage = argv['append-system-message'];\n\n if (argv['system-message-file']) {\n const resolvedPath = require('path').resolve(\n process.cwd(),\n argv['system-message-file']\n );\n const file = Bun.file(resolvedPath);\n if (!(await file.exists())) {\n outputError({\n errorType: 'FileNotFound',\n message: `System message file not found: ${argv['system-message-file']}`,\n });\n process.exit(1);\n }\n systemMessage = await file.text();\n }\n\n if (argv['append-system-message-file']) {\n const resolvedPath = require('path').resolve(\n process.cwd(),\n argv['append-system-message-file']\n );\n const file = Bun.file(resolvedPath);\n if (!(await file.exists())) {\n outputError({\n errorType: 'FileNotFound',\n message: `Append system message file not found: ${argv['append-system-message-file']}`,\n });\n process.exit(1);\n }\n appendSystemMessage = await file.text();\n }\n\n return { systemMessage, appendSystemMessage };\n}\n\nasync function runAgentMode(argv, request) {\n // Log version and command info in verbose mode using lazy logging\n Log.Default.info(() => ({\n message: 'Agent started',\n version: pkg.version,\n command: process.argv.join(' '),\n workingDirectory: process.cwd(),\n scriptPath: import.meta.path,\n }));\n if (Flag.OPENCODE_DRY_RUN) {\n Log.Default.info(() => ({\n message: 'Dry run mode enabled',\n mode: 'dry-run',\n }));\n }\n\n // Validate and get JSON standard\n const jsonStandard = argv['json-standard'];\n if (!isValidJsonStandard(jsonStandard)) {\n outputStatus({\n type: 'error',\n errorType: 'ValidationError',\n message: `Invalid JSON standard: ${jsonStandard}. Use \"opencode\" or \"claude\".`,\n });\n process.exit(1);\n }\n\n const { systemMessage, appendSystemMessage } = await readSystemMessages(argv);\n\n // Logging is already initialized in middleware, no need to call Log.init() again\n\n // Wrap in Instance.provide for OpenCode infrastructure\n // parseModelConfig must be called inside Instance.provide to access provider state\n await Instance.provide({\n directory: process.cwd(),\n fn: async () => {\n // Parse model config inside Instance.provide context\n // This allows parseModelWithResolution to access the provider state\n const { providerID, modelID } = await parseModelConfig(argv);\n\n if (argv.server) {\n // SERVER MODE: Start server and communicate via HTTP\n await runServerMode(\n argv,\n request,\n providerID,\n modelID,\n systemMessage,\n appendSystemMessage,\n jsonStandard\n );\n } else {\n // DIRECT MODE: Run everything in single process\n await runDirectMode(\n argv,\n request,\n providerID,\n modelID,\n systemMessage,\n appendSystemMessage,\n jsonStandard\n );\n }\n },\n });\n\n // Explicitly exit to ensure process terminates\n process.exit(hasError ? 1 : 0);\n}\n\n/**\n * Run agent in continuous stdin mode\n * Keeps accepting input until EOF or SIGINT\n * @param {object} argv - Command line arguments\n */\nasync function runContinuousAgentMode(argv) {\n const compactJson = argv['compact-json'] === true;\n // Log version and command info in verbose mode using lazy logging\n Log.Default.info(() => ({\n message: 'Agent started (continuous mode)',\n version: pkg.version,\n command: process.argv.join(' '),\n workingDirectory: process.cwd(),\n scriptPath: import.meta.path,\n }));\n if (Flag.OPENCODE_DRY_RUN) {\n Log.Default.info(() => ({\n message: 'Dry run mode enabled',\n mode: 'dry-run',\n }));\n }\n\n // Validate and get JSON standard\n const jsonStandard = argv['json-standard'];\n if (!isValidJsonStandard(jsonStandard)) {\n outputStatus(\n {\n type: 'error',\n message: `Invalid JSON standard: ${jsonStandard}. Use \"opencode\" or \"claude\".`,\n },\n compactJson\n );\n process.exit(1);\n }\n\n const { systemMessage, appendSystemMessage } = await readSystemMessages(argv);\n\n // Wrap in Instance.provide for OpenCode infrastructure\n // parseModelConfig must be called inside Instance.provide to access provider state\n await Instance.provide({\n directory: process.cwd(),\n fn: async () => {\n // Parse model config inside Instance.provide context\n // This allows parseModelWithResolution to access the provider state\n const { providerID, modelID } = await parseModelConfig(argv);\n\n if (argv.server) {\n // SERVER MODE: Start server and communicate via HTTP\n await runContinuousServerMode(\n argv,\n providerID,\n modelID,\n systemMessage,\n appendSystemMessage,\n jsonStandard\n );\n } else {\n // DIRECT MODE: Run everything in single process\n await runContinuousDirectMode(\n argv,\n providerID,\n modelID,\n systemMessage,\n appendSystemMessage,\n jsonStandard\n );\n }\n },\n });\n\n // Explicitly exit to ensure process terminates\n process.exit(hasError ? 1 : 0);\n}\n\nasync function runServerMode(\n argv,\n request,\n providerID,\n modelID,\n systemMessage,\n appendSystemMessage,\n jsonStandard\n) {\n const compactJson = argv['compact-json'] === true;\n\n // Start server like OpenCode does\n const server = Server.listen({ port: 0, hostname: '127.0.0.1' });\n let unsub = null;\n\n try {\n // Check if we should resume an existing session\n const resumeInfo = await resolveResumeSession(argv, compactJson);\n\n let sessionID;\n\n if (resumeInfo) {\n // Use the resumed/forked session\n sessionID = resumeInfo.sessionID;\n } else {\n // Create a new session\n const createRes = await fetch(\n `http://${server.hostname}:${server.port}/session`,\n {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({}),\n }\n );\n const session = await createRes.json();\n sessionID = session.id;\n\n if (!sessionID) {\n throw new Error('Failed to create session');\n }\n }\n\n // Create event handler for the selected JSON standard\n const eventHandler = createEventHandler(jsonStandard, sessionID);\n\n // Subscribe to all bus events and output in selected format\n const { unsub: eventUnsub, idlePromise: eventPromise } =\n createBusEventSubscription({\n sessionID,\n eventHandler,\n onError: () => {\n hasError = true;\n },\n });\n unsub = eventUnsub;\n\n // Send message to session with specified model (default: opencode/grok-code)\n const message = request.message || 'hi';\n const parts = [{ type: 'text', text: message }];\n\n // Start the prompt (don't wait for response, events come via Bus)\n fetch(\n `http://${server.hostname}:${server.port}/session/${sessionID}/message`,\n {\n method: 'POST',\n headers: { 'Content-Type': 'application/json' },\n body: JSON.stringify({\n parts,\n model: {\n providerID,\n modelID,\n },\n system: systemMessage,\n appendSystem: appendSystemMessage,\n }),\n }\n ).catch((error) => {\n hasError = true;\n eventHandler.output({\n type: 'error',\n timestamp: Date.now(),\n sessionID,\n error: error instanceof Error ? error.message : String(error),\n });\n });\n\n // Wait for session to become idle\n await eventPromise;\n } finally {\n // Always clean up resources\n if (unsub) {\n unsub();\n }\n server.stop();\n await Instance.dispose();\n }\n}\n\nasync function runDirectMode(\n argv,\n request,\n providerID,\n modelID,\n systemMessage,\n appendSystemMessage,\n jsonStandard\n) {\n const compactJson = argv['compact-json'] === true;\n\n // DIRECT MODE: Run in single process without server\n let unsub = null;\n\n try {\n // Check if we should resume an existing session\n const resumeInfo = await resolveResumeSession(argv, compactJson);\n\n let sessionID;\n\n if (resumeInfo) {\n // Use the resumed/forked session\n sessionID = resumeInfo.sessionID;\n } else {\n // Create a new session directly\n const session = await Session.createNext({\n directory: process.cwd(),\n });\n sessionID = session.id;\n }\n\n // Create event handler for the selected JSON standard\n const eventHandler = createEventHandler(jsonStandard, sessionID);\n\n // Subscribe to all bus events and output in selected format\n const { unsub: eventUnsub, idlePromise: eventPromise } =\n createBusEventSubscription({\n sessionID,\n eventHandler,\n onError: () => {\n hasError = true;\n },\n });\n unsub = eventUnsub;\n\n // Send message to session directly\n const message = request.message || 'hi';\n const parts = [{ type: 'text', text: message }];\n\n // Start the prompt directly without HTTP\n SessionPrompt.prompt({\n sessionID,\n parts,\n model: {\n providerID,\n modelID,\n },\n system: systemMessage,\n appendSystem: appendSystemMessage,\n }).catch((error) => {\n hasError = true;\n eventHandler.output({\n type: 'error',\n timestamp: Date.now(),\n sessionID,\n error: error instanceof Error ? error.message : String(error),\n });\n });\n\n // Wait for session to become idle\n await eventPromise;\n } finally {\n // Always clean up resources\n if (unsub) {\n unsub();\n }\n await Instance.dispose();\n }\n}\n\nasync function main() {\n try {\n // Parse command line arguments with subcommands\n const yargsInstance = yargs(hideBin(process.argv))\n .scriptName('agent')\n .usage('$0 [command] [options]')\n .version(pkg.version)\n // MCP subcommand\n .command(McpCommand)\n // Auth subcommand\n .command(AuthCommand)\n // Default command for agent mode (when no subcommand specified)\n .command({\n command: '$0',\n describe: 'Run agent in interactive or stdin mode (default)',\n builder: (yargs) =>\n yargs\n .option('model', {\n type: 'string',\n description: 'Model to use in format providerID/modelID',\n default: 'opencode/kimi-k2.5-free',\n })\n .option('json-standard', {\n type: 'string',\n description:\n 'JSON output format standard: \"opencode\" (default) or \"claude\" (experimental)',\n default: 'opencode',\n choices: ['opencode', 'claude'],\n })\n .option('system-message', {\n type: 'string',\n description: 'Full override of the system message',\n })\n .option('system-message-file', {\n type: 'string',\n description: 'Full override of the system message from file',\n })\n .option('append-system-message', {\n type: 'string',\n description: 'Append to the default system message',\n })\n .option('append-system-message-file', {\n type: 'string',\n description: 'Append to the default system message from file',\n })\n .option('server', {\n type: 'boolean',\n description: 'Run in server mode (default)',\n default: true,\n })\n .option('verbose', {\n type: 'boolean',\n description:\n 'Enable verbose mode to debug API requests (shows system prompt, token counts, etc.)',\n default: false,\n })\n .option('dry-run', {\n type: 'boolean',\n description:\n 'Simulate operations without making actual API calls or package installations (useful for testing)',\n default: false,\n })\n .option('use-existing-claude-oauth', {\n type: 'boolean',\n description:\n 'Use existing Claude OAuth credentials from ~/.claude/.credentials.json (from Claude Code CLI)',\n default: false,\n })\n .option('prompt', {\n alias: 'p',\n type: 'string',\n description:\n 'Prompt message to send directly (bypasses stdin reading)',\n })\n .option('disable-stdin', {\n type: 'boolean',\n description:\n 'Disable stdin streaming mode (requires --prompt or shows help)',\n default: false,\n })\n .option('stdin-stream-timeout', {\n type: 'number',\n description:\n 'Optional timeout in milliseconds for stdin reading (default: no timeout)',\n })\n .option('auto-merge-queued-messages', {\n type: 'boolean',\n description:\n 'Enable auto-merging of rapidly arriving input lines into single messages (default: true)',\n default: true,\n })\n .option('interactive', {\n type: 'boolean',\n description:\n 'Enable interactive mode to accept manual input as plain text strings (default: true). Use --no-interactive to only accept JSON input.',\n default: true,\n })\n .option('always-accept-stdin', {\n type: 'boolean',\n description:\n 'Keep accepting stdin input even after the agent finishes work (default: true). Use --no-always-accept-stdin for single-message mode.',\n default: true,\n })\n .option('compact-json', {\n type: 'boolean',\n description:\n 'Output compact JSON (single line) instead of pretty-printed JSON (default: false). Useful for program-to-program communication.',\n default: false,\n })\n .option('resume', {\n alias: 'r',\n type: 'string',\n description:\n 'Resume a specific session by ID. By default, forks the session with a new UUID. Use --no-fork to continue in the same session.',\n })\n .option('continue', {\n alias: 'c',\n type: 'boolean',\n description:\n 'Continue the most recent session. By default, forks the session with a new UUID. Use --no-fork to continue in the same session.',\n default: false,\n })\n .option('no-fork', {\n type: 'boolean',\n description:\n 'When used with --resume or --continue, continue in the same session without forking to a new UUID.',\n default: false,\n })\n .option('generate-title', {\n type: 'boolean',\n description:\n 'Generate session titles using AI (default: false). Disabling saves tokens and prevents rate limit issues.',\n default: false,\n })\n .option('retry-timeout', {\n type: 'number',\n description:\n 'Maximum total retry time in seconds for rate limit errors (default: 604800 = 7 days)',\n }),\n handler: async (argv) => {\n // Check both CLI flag and environment variable for compact JSON mode\n const compactJson =\n argv['compact-json'] === true || Flag.COMPACT_JSON();\n\n // Check if --prompt flag was provided\n if (argv.prompt) {\n // Direct prompt mode - bypass stdin entirely\n const request = { message: argv.prompt };\n await runAgentMode(argv, request);\n return;\n }\n\n // Check if --disable-stdin was set without --prompt\n if (argv['disable-stdin']) {\n // Output a helpful message suggesting to use --prompt\n outputError(\n {\n errorType: 'ValidationError',\n message:\n 'No prompt provided. Use -p/--prompt to specify a message, or remove --disable-stdin to read from stdin.',\n hint: 'Example: agent -p \"Hello, how are you?\"',\n },\n compactJson\n );\n process.exit(1);\n }\n\n // Check if stdin is a TTY (interactive terminal)\n if (process.stdin.isTTY) {\n // Enter interactive terminal mode with continuous listening\n const isInteractive = argv.interactive !== false;\n const autoMerge = argv['auto-merge-queued-messages'] !== false;\n const alwaysAcceptStdin = argv['always-accept-stdin'] !== false;\n\n // Exit if --no-always-accept-stdin is set (single message mode not supported in TTY)\n if (!alwaysAcceptStdin) {\n outputError(\n {\n errorType: 'ValidationError',\n message:\n 'Single message mode (--no-always-accept-stdin) is not supported in interactive terminal mode.',\n hint: 'Use piped input or --prompt for single messages.',\n },\n compactJson\n );\n process.exit(1);\n }\n\n outputStatus(\n {\n type: 'status',\n mode: 'interactive-terminal',\n message:\n 'Agent CLI in interactive terminal mode. Type your message and press Enter.',\n hint: 'Press CTRL+C to exit. Use --help for options.',\n acceptedFormats: isInteractive\n ? ['JSON object with \"message\" field', 'Plain text']\n : ['JSON object with \"message\" field'],\n options: {\n interactive: isInteractive,\n autoMergeQueuedMessages: autoMerge,\n alwaysAcceptStdin,\n compactJson,\n },\n },\n compactJson\n );\n\n // Use continuous mode for interactive terminal\n await runContinuousAgentMode(argv);\n return;\n }\n\n // stdin is piped - enter stdin listening mode\n const isInteractive = argv.interactive !== false;\n const autoMerge = argv['auto-merge-queued-messages'] !== false;\n const alwaysAcceptStdin = argv['always-accept-stdin'] !== false;\n\n outputStatus(\n {\n type: 'status',\n mode: 'stdin-stream',\n message: alwaysAcceptStdin\n ? 'Agent CLI in continuous listening mode. Accepts JSON and plain text input.'\n : 'Agent CLI in single-message mode. Accepts JSON and plain text input.',\n hint: 'Press CTRL+C to exit. Use --help for options.',\n acceptedFormats: isInteractive\n ? ['JSON object with \"message\" field', 'Plain text']\n : ['JSON object with \"message\" field'],\n options: {\n interactive: isInteractive,\n autoMergeQueuedMessages: autoMerge,\n alwaysAcceptStdin,\n compactJson,\n },\n },\n compactJson\n );\n\n // Use continuous mode if --always-accept-stdin is enabled (default)\n if (alwaysAcceptStdin) {\n await runContinuousAgentMode(argv);\n return;\n }\n\n // Single-message mode (--no-always-accept-stdin)\n const timeout = argv['stdin-stream-timeout'] ?? null;\n const input = await readStdinWithTimeout(timeout);\n const trimmedInput = input.trim();\n\n if (trimmedInput === '') {\n outputStatus(\n {\n type: 'status',\n message: 'No input received. Exiting.',\n },\n compactJson\n );\n yargsInstance.showHelp();\n process.exit(0);\n }\n\n // Try to parse as JSON, if it fails treat it as plain text message\n let request;\n try {\n request = JSON.parse(trimmedInput);\n } catch (_e) {\n // Not JSON\n if (!isInteractive) {\n // In non-interactive mode, only accept JSON\n outputError(\n {\n errorType: 'ValidationError',\n message:\n 'Invalid JSON input. In non-interactive mode (--no-interactive), only JSON input is accepted.',\n hint: 'Use --interactive to accept plain text, or provide valid JSON: {\"message\": \"your text\"}',\n },\n compactJson\n );\n process.exit(1);\n }\n // In interactive mode, treat as plain text message\n request = {\n message: trimmedInput,\n };\n }\n\n // Output input confirmation in JSON format\n outputInput(\n {\n raw: trimmedInput,\n parsed: request,\n format: isInteractive ? 'text' : 'json',\n },\n compactJson\n );\n\n // Run agent mode\n await runAgentMode(argv, request);\n },\n })\n // Initialize logging early for all CLI commands\n // This prevents debug output from appearing in CLI unless --verbose is used\n .middleware(async (argv) => {\n // Set global compact JSON setting (CLI flag or environment variable)\n const isCompact = argv['compact-json'] === true || Flag.COMPACT_JSON();\n if (isCompact) {\n setCompactJson(true);\n }\n\n // Set verbose flag if requested\n if (argv.verbose) {\n Flag.setVerbose(true);\n }\n\n // Set dry-run flag if requested\n if (argv['dry-run']) {\n Flag.setDryRun(true);\n }\n\n // Set generate-title flag if explicitly enabled\n // Default is false to save tokens and prevent rate limit issues\n // See: https://github.com/link-assistant/agent/issues/157\n if (argv['generate-title'] === true) {\n Flag.setGenerateTitle(true);\n }\n\n // Initialize logging system\n // - Print logs to stdout only when verbose for clean CLI output\n // - Use verbose flag to enable DEBUG level logging\n await Log.init({\n print: Flag.OPENCODE_VERBOSE, // Output logs only when verbose for clean CLI output\n level: Flag.OPENCODE_VERBOSE ? 'DEBUG' : 'INFO',\n compactJson: isCompact,\n });\n })\n .fail((msg, err, yargs) => {\n // Handle errors from command handlers\n if (err) {\n // Check if it's a CancelledError (user pressed ESC)\n if (UI.CancelledError.isInstance(err)) {\n // Exit silently without showing error or help text\n process.exit(0);\n }\n\n // Format other errors using FormatError\n const formatted = FormatError(err);\n if (formatted) {\n outputError({\n errorType: err.name || 'Error',\n message: formatted,\n });\n } else {\n // Fallback to default error formatting\n outputError({\n errorType: err.name || 'Error',\n message: err.message || String(err),\n });\n }\n process.exit(1);\n }\n\n // Handle validation messages (msg without err) - informational, not an error\n // Display help text on stdout (industry standard: git, gh, npm all use stdout for help)\n if (msg) {\n outputHelp({\n message: msg,\n hint: stripAnsi(yargs.help()),\n });\n process.exit(0);\n }\n })\n .help();\n\n // Parse arguments (handlers will be called automatically)\n await yargsInstance.argv;\n } catch (error) {\n hasError = true;\n outputError({\n timestamp: Date.now(),\n errorType: error instanceof Error ? error.name : 'Error',\n message: error instanceof Error ? error.message : String(error),\n stack: error instanceof Error ? error.stack : undefined,\n });\n process.exit(1);\n }\n}\n\nmain();\n", | |
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| { | |
| "type": "text", | |
| "text": "Now let me check the upstream issue filed with Vercel AI SDK and research whether the `@ai-sdk/openai-compatible` package has been updated to v3:" | |
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| "content": "Check upstream @ai-sdk/openai-compatible for v3 specification support", | |
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| }, | |
| { | |
| "content": "Analyze cache warning - fix root cause or explain why suppression is appropriate", | |
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| { | |
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| }, | |
| { | |
| "content": "Run CI/CD checks and ensure all tests pass", | |
| "status": "pending", | |
| "activeForm": "Running CI/CD checks" | |
| }, | |
| { | |
| "content": "Mark PR as ready after all changes are validated", | |
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| } | |
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| } | |
| [2026-02-15T08:53:41.202Z] [INFO] { | |
| "type": "user", | |
| "message": { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "tool_use_id": "toolu_01CsFwKoBQPjkfrTySTihuRx", | |
| "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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| }, | |
| { | |
| "content": "Run CI/CD checks and ensure all tests pass", | |
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| }, | |
| { | |
| "content": "Mark PR as ready after all changes are validated", | |
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| } | |
| ], | |
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| "content": "Investigate root causes of all 3 warnings", | |
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| { | |
| "content": "Analyze cache warning - fix root cause or explain why suppression is appropriate", | |
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| "content": "Mark PR as ready after all changes are validated", | |
| "status": "pending", | |
| "activeForm": "Marking PR as ready" | |
| } | |
| ] | |
| } | |
| } | |
| [2026-02-15T08:53:45.078Z] [INFO] { | |
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| { | |
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| "command": "gh issue view 12615 --repo vercel/ai --json title,body,state,comments 2>&1 | head -150", | |
| "description": "Check the upstream issue filed with Vercel AI SDK" | |
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| "content": "{\"body\":\"## Description\\n\\nWhen using AI SDK 6.x with `@ai-sdk/openai-compatible` provider, the following warning is logged on every model instantiation:\\n\\n```\\nAI SDK Warning System: To turn off warning logging, set the AI_SDK_LOG_WARNINGS global to false.\\nAI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \\\"specificationVersion\\\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\\n```\\n\\nThis warning appears because `@ai-sdk/openai-compatible` still implements `specificationVersion: 'v2'` while AI SDK 6.x expects `specificationVersion: 'v3'`.\\n\\n## Reproduction\\n\\n1. Install `ai@^6.0.1` and `@ai-sdk/openai-compatible@latest`\\n2. Create a model using the OpenAI-compatible provider\\n3. Call `streamText()` or `generateText()`\\n4. Observe the warning logged to console\\n\\n```typescript\\nimport { createOpenAICompatible } from '@ai-sdk/openai-compatible';\\nimport { streamText } from 'ai';\\n\\nconst provider = createOpenAICompatible({\\n name: 'my-provider',\\n baseURL: 'https://api.example.com/v1',\\n apiKey: 'test',\\n});\\n\\nconst model = provider.languageModel('some-model');\\n\\n// This triggers the warning\\nconst result = await streamText({\\n model,\\n prompt: 'Hello',\\n});\\n```\\n\\n**Expected behavior:** No warning should appear since the package should be compatible with AI SDK 6.x\\n\\n**Actual behavior:** Warning appears twice per session (once per `streamText` call in the agent loop)\\n\\n## Environment\\n\\n- AI SDK version: 6.0.1\\n- @ai-sdk/openai-compatible version: latest\\n- Node.js version: Bun 1.2.20\\n- Platform: macOS\\n\\n## Impact\\n\\nThis warning causes noise in CLI applications that use the OpenAI-compatible provider, making it harder to spot actual issues. While the functionality works via compatibility mode, the warning suggests the package may need updates.\\n\\n## Suggested Fix\\n\\nUpdate `@ai-sdk/openai-compatible` to implement `specificationVersion: 'v3'` following the patterns in the [migration guide](https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0) and [custom providers documentation](https://ai-sdk.dev/providers/community-providers/custom-providers).\\n\\n## Workaround\\n\\nUsers can suppress the warning by setting:\\n\\n```typescript\\nglobalThis.AI_SDK_LOG_WARNINGS = false;\\n```\\n\\nHowever, this also suppresses legitimate warnings.\\n\\n## Related\\n\\n- [vercel/ai#10689](https://github.com/vercel/ai/issues/10689) - Warn when using v2 models with AI SDK 6\\n- [vercel/ai#10770](https://github.com/vercel/ai/pull/10770) - PR that added the warning\\n- [Migration Guide](https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0)\",\"comments\":[],\"state\":\"OPEN\",\"title\":\"@ai-sdk/openai-compatible: Upgrade to specificationVersion v3 for AI SDK 6.x compatibility\"}", | |
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| "stdout": "{\"body\":\"## Description\\n\\nWhen using AI SDK 6.x with `@ai-sdk/openai-compatible` provider, the following warning is logged on every model instantiation:\\n\\n```\\nAI SDK Warning System: To turn off warning logging, set the AI_SDK_LOG_WARNINGS global to false.\\nAI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \\\"specificationVersion\\\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\\n```\\n\\nThis warning appears because `@ai-sdk/openai-compatible` still implements `specificationVersion: 'v2'` while AI SDK 6.x expects `specificationVersion: 'v3'`.\\n\\n## Reproduction\\n\\n1. Install `ai@^6.0.1` and `@ai-sdk/openai-compatible@latest`\\n2. Create a model using the OpenAI-compatible provider\\n3. Call `streamText()` or `generateText()`\\n4. Observe the warning logged to console\\n\\n```typescript\\nimport { createOpenAICompatible } from '@ai-sdk/openai-compatible';\\nimport { streamText } from 'ai';\\n\\nconst provider = createOpenAICompatible({\\n name: 'my-provider',\\n baseURL: 'https://api.example.com/v1',\\n apiKey: 'test',\\n});\\n\\nconst model = provider.languageModel('some-model');\\n\\n// This triggers the warning\\nconst result = await streamText({\\n model,\\n prompt: 'Hello',\\n});\\n```\\n\\n**Expected behavior:** No warning should appear since the package should be compatible with AI SDK 6.x\\n\\n**Actual behavior:** Warning appears twice per session (once per `streamText` call in the agent loop)\\n\\n## Environment\\n\\n- AI SDK version: 6.0.1\\n- @ai-sdk/openai-compatible version: latest\\n- Node.js version: Bun 1.2.20\\n- Platform: macOS\\n\\n## Impact\\n\\nThis warning causes noise in CLI applications that use the OpenAI-compatible provider, making it harder to spot actual issues. While the functionality works via compatibility mode, the warning suggests the package may need updates.\\n\\n## Suggested Fix\\n\\nUpdate `@ai-sdk/openai-compatible` to implement `specificationVersion: 'v3'` following the patterns in the [migration guide](https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0) and [custom providers documentation](https://ai-sdk.dev/providers/community-providers/custom-providers).\\n\\n## Workaround\\n\\nUsers can suppress the warning by setting:\\n\\n```typescript\\nglobalThis.AI_SDK_LOG_WARNINGS = false;\\n```\\n\\nHowever, this also suppresses legitimate warnings.\\n\\n## Related\\n\\n- [vercel/ai#10689](https://github.com/vercel/ai/issues/10689) - Warn when using v2 models with AI SDK 6\\n- [vercel/ai#10770](https://github.com/vercel/ai/pull/10770) - PR that added the warning\\n- [Migration Guide](https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0)\",\"comments\":[],\"state\":\"OPEN\",\"title\":\"@ai-sdk/openai-compatible: Upgrade to specificationVersion v3 for AI SDK 6.x compatibility\"}", | |
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| "content": "Web search results for query: \"@ai-sdk/openai-compatible specificationVersion v3 upgrade 2026\"\n\nLinks: [{\"title\":\"Migration Guides: Migrate AI SDK 5.x to 6.0\",\"url\":\"https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0\"},{\"title\":\"Using any model with the Vercel's AI SDK | OpenAI Agents SDK\",\"url\":\"https://openai.github.io/openai-agents-js/extensions/ai-sdk/\"},{\"title\":\"OpenAI Release Notes - February 2026 Latest Updates - Releasebot\",\"url\":\"https://releasebot.io/updates/openai\"},{\"title\":\"@ai-sdk/openai - npm\",\"url\":\"https://www.npmjs.com/package/@ai-sdk/openai\"},{\"title\":\"Migration Guides: Migrate AI SDK 3.0 to 3.1\",\"url\":\"https://ai-sdk.dev/docs/migration-guides/migration-guide-3-1\"},{\"title\":\"OpenAI Python SDK - Overview - Z.AI DEVELOPER DOCUMENT\",\"url\":\"https://docs.z.ai/guides/develop/openai/python\"},{\"title\":\"OpenAI Compatible Providers\",\"url\":\"https://ai-sdk.dev/providers/openai-compatible-providers\"},{\"title\":\"AI SDK 6 - Vercel\",\"url\":\"https://ai-sdk.dev/docs/announcing-ai-sdk-6-beta\"},{\"title\":\"Azure OpenAI in Microsoft Foundry Models v1 API - Microsoft Foundry | Microsoft Learn\",\"url\":\"https://learn.microsoft.com/en-us/azure/ai-foundry/openai/api-version-lifecycle?view=foundry-classic\"},{\"title\":\"OpenAI-Compatible API\",\"url\":\"https://vercel.com/docs/ai-gateway/sdks-and-apis/openai-compat\"}]\n\nBased on the search results, here's what I found regarding the `@ai-sdk/openai-compatible` and the specificationVersion v3 upgrade:\n\nThe OpenAI Agents SDK supports AI SDK providers that expose specificationVersion v2 or v3. AI SDK 6 is a major version due to the introduction of the v3 Language Model Specification that powers new capabilities like agents and tool approval.\n\nAI SDK 6 is a major version due to the introduction of the v3 Language Model Specification that powers new capabilities like agents and tool approval. However, unlike AI SDK 5, this release is not expected to have major breaking changes for most users.\n\nThe OpenAI Compatible provider is available via the @ai-sdk/openai-compatible module and you can create a custom provider instance with the createOpenAICompatible function from @ai-sdk/openai-compatible.\n\nThe search results indicate that v3 of the specification is part of the AI SDK 6 release, which appears to be recent, though I didn't find specific information about a 2026 upgrade date for the specificationVersion in the results.\n\n\nREMINDER: You MUST include the sources above in your response to the user using markdown hyperlinks." | |
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| "content": "Web search results for query: \"vercel/ai specificationVersion v3 openai-compatible provider 2026\"\n\nLinks: [{\"title\":\"Using any model with the Vercel's AI SDK | OpenAI Agents SDK\",\"url\":\"https://openai.github.io/openai-agents-js/extensions/ai-sdk/\"},{\"title\":\"AI Gateway Provider\",\"url\":\"https://ai-sdk.dev/providers/ai-sdk-providers/ai-gateway\"},{\"title\":\"OpenAI-Compatible Providers (xAI, TogetherAI, Fireworks, etc.) | vercel/ai | DeepWiki\",\"url\":\"https://deepwiki.com/vercel/ai/3.6-openai-compatible-and-groq-providers\"},{\"title\":\"OpenAI Compatible Providers - AI SDK\",\"url\":\"https://ai-sdk.dev/providers/openai-compatible-providers\"},{\"title\":\"OpenAI-Compatible Providers and Adapter Pattern | vercel/ai | DeepWiki\",\"url\":\"https://deepwiki.com/vercel/ai/3.7-openai-compatible-providers-and-adapter-pattern\"},{\"title\":\"GitHub - vercel/ai: The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents\",\"url\":\"https://github.com/vercel/ai\"},{\"title\":\"OpenAI-Compatible API\",\"url\":\"https://vercel.com/docs/ai-gateway/openai-compat\"},{\"title\":\"Azure and Cloud Platform Providers | vercel/ai | DeepWiki\",\"url\":\"https://deepwiki.com/vercel/ai/3.8-openai-compatible-providers\"},{\"title\":\"Models & Providers\",\"url\":\"https://vercel.com/docs/ai-gateway/models-and-providers\"},{\"title\":\"AI SDK 6 - Vercel\",\"url\":\"https://vercel.com/blog/ai-sdk-6\"}]\n\nBased on the search results, here's what I found regarding Vercel's AI SDK, the v3 specification version, and OpenAI-compatible providers:\n\n## Key Findings\n\nThe OpenAI Agents SDK supports AI SDK providers that expose specificationVersion v2 or v3. This indicates that v3 is a current specification version supported for provider implementation.\n\nThe OpenAI-compatible provider system implements an adapter pattern where a shared base layer handles OpenAI API communication, and individual providers customize behavior through configuration and extension points. This architecture allows features implemented in the @ai-sdk/openai-compatible base layer to automatically propagate to all dependent providers.\n\nAI SDK 6 is a major version due to the introduction of the v3 Language Model Specification that powers new capabilities like agents and tool approval.\n\nYou can use the OpenAI Compatible Provider package to use language model providers that implement the OpenAI API. The package supports various provider-specific customizations and features including structured outputs and reasoning content.\n\nThe search results show that as of early 2026, the v3 specification is actively being used and supported across Vercel's AI SDK ecosystem for OpenAI-compatible providers.\n\n\nREMINDER: You MUST include the sources above in your response to the user using markdown hyperlinks." | |
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| }, | |
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| "Based on the search results, here's what I found regarding Vercel's AI SDK, the v3 specification version, and OpenAI-compatible providers:\n\n## Key Findings\n\nThe OpenAI Agents SDK supports AI SDK providers that expose specificationVersion v2 or v3. This indicates that v3 is a current specification version supported for provider implementation.\n\nThe OpenAI-compatible provider system implements an adapter pattern where a shared base layer handles OpenAI API communication, and individual providers customize behavior through configuration and extension points. This architecture allows features implemented in the @ai-sdk/openai-compatible base layer to automatically propagate to all dependent providers.\n\nAI SDK 6 is a major version due to the introduction of the v3 Language Model Specification that powers new capabilities like agents and tool approval.\n\nYou can use the OpenAI Compatible Provider package to use language model providers that implement the OpenAI API. The package supports various provider-specific customizations and features including structured outputs and reasoning content.\n\nThe search results show that as of early 2026, the v3 specification is actively being used and supported across Vercel's AI SDK ecosystem for OpenAI-compatible providers." | |
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| "content": "import {\n APICallError,\n InvalidResponseDataError,\n LanguageModelV3,\n LanguageModelV3CallOptions,\n LanguageModelV3Content,\n LanguageModelV3FinishReason,\n LanguageModelV3GenerateResult,\n LanguageModelV3StreamPart,\n LanguageModelV3StreamResult,\n SharedV3ProviderMetadata,\n SharedV3Warning,\n} from '@ai-sdk/provider';\nimport {\n combineHeaders,\n createEventSourceResponseHandler,\n createJsonErrorResponseHandler,\n createJsonResponseHandler,\n FetchFunction,\n generateId,\n isParsableJson,\n parseProviderOptions,\n ParseResult,\n postJsonToApi,\n ResponseHandler,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport {\n defaultOpenAICompatibleErrorStructure,\n ProviderErrorStructure,\n} from '../openai-compatible-error';\nimport { convertOpenAICompatibleChatUsage } from './convert-openai-compatible-chat-usage';\nimport { convertToOpenAICompatibleChatMessages } from './convert-to-openai-compatible-chat-messages';\nimport { getResponseMetadata } from './get-response-metadata';\nimport { mapOpenAICompatibleFinishReason } from './map-openai-compatible-finish-reason';\nimport {\n OpenAICompatibleChatModelId,\n openaiCompatibleLanguageModelChatOptions,\n} from './openai-compatible-chat-options';\nimport { MetadataExtractor } from './openai-compatible-metadata-extractor';\nimport { prepareTools } from './openai-compatible-prepare-tools';\n\nexport type OpenAICompatibleChatConfig = {\n provider: string;\n headers: () => Record<string, string | undefined>;\n url: (options: { modelId: string; path: string }) => string;\n fetch?: FetchFunction;\n includeUsage?: boolean;\n errorStructure?: ProviderErrorStructure<any>;\n metadataExtractor?: MetadataExtractor;\n\n /**\n * Whether the model supports structured outputs.\n */\n supportsStructuredOutputs?: boolean;\n\n /**\n * The supported URLs for the model.\n */\n supportedUrls?: () => LanguageModelV3['supportedUrls'];\n\n /**\n * Optional function to transform the request body before sending it to the API.\n * This is useful for proxy providers that may require a different request format\n * than the official OpenAI API.\n */\n transformRequestBody?: (args: Record<string, any>) => Record<string, any>;\n};\n\nexport class OpenAICompatibleChatLanguageModel implements LanguageModelV3 {\n readonly specificationVersion = 'v3';\n\n readonly supportsStructuredOutputs: boolean;\n\n readonly modelId: OpenAICompatibleChatModelId;\n private readonly config: OpenAICompatibleChatConfig;\n private readonly failedResponseHandler: ResponseHandler<APICallError>;\n private readonly chunkSchema; // type inferred via constructor\n\n constructor(\n modelId: OpenAICompatibleChatModelId,\n config: OpenAICompatibleChatConfig,\n ) {\n this.modelId = modelId;\n this.config = config;\n\n // initialize error handling:\n const errorStructure =\n config.errorStructure ?? defaultOpenAICompatibleErrorStructure;\n this.chunkSchema = createOpenAICompatibleChatChunkSchema(\n errorStructure.errorSchema,\n );\n this.failedResponseHandler = createJsonErrorResponseHandler(errorStructure);\n\n this.supportsStructuredOutputs = config.supportsStructuredOutputs ?? false;\n }\n\n get provider(): string {\n return this.config.provider;\n }", | |
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| "stdout": "import {\n APICallError,\n InvalidResponseDataError,\n LanguageModelV3,\n LanguageModelV3CallOptions,\n LanguageModelV3Content,\n LanguageModelV3FinishReason,\n LanguageModelV3GenerateResult,\n LanguageModelV3StreamPart,\n LanguageModelV3StreamResult,\n SharedV3ProviderMetadata,\n SharedV3Warning,\n} from '@ai-sdk/provider';\nimport {\n combineHeaders,\n createEventSourceResponseHandler,\n createJsonErrorResponseHandler,\n createJsonResponseHandler,\n FetchFunction,\n generateId,\n isParsableJson,\n parseProviderOptions,\n ParseResult,\n postJsonToApi,\n ResponseHandler,\n} from '@ai-sdk/provider-utils';\nimport { z } from 'zod/v4';\nimport {\n defaultOpenAICompatibleErrorStructure,\n ProviderErrorStructure,\n} from '../openai-compatible-error';\nimport { convertOpenAICompatibleChatUsage } from './convert-openai-compatible-chat-usage';\nimport { convertToOpenAICompatibleChatMessages } from './convert-to-openai-compatible-chat-messages';\nimport { getResponseMetadata } from './get-response-metadata';\nimport { mapOpenAICompatibleFinishReason } from './map-openai-compatible-finish-reason';\nimport {\n OpenAICompatibleChatModelId,\n openaiCompatibleLanguageModelChatOptions,\n} from './openai-compatible-chat-options';\nimport { MetadataExtractor } from './openai-compatible-metadata-extractor';\nimport { prepareTools } from './openai-compatible-prepare-tools';\n\nexport type OpenAICompatibleChatConfig = {\n provider: string;\n headers: () => Record<string, string | undefined>;\n url: (options: { modelId: string; path: string }) => string;\n fetch?: FetchFunction;\n includeUsage?: boolean;\n errorStructure?: ProviderErrorStructure<any>;\n metadataExtractor?: MetadataExtractor;\n\n /**\n * Whether the model supports structured outputs.\n */\n supportsStructuredOutputs?: boolean;\n\n /**\n * The supported URLs for the model.\n */\n supportedUrls?: () => LanguageModelV3['supportedUrls'];\n\n /**\n * Optional function to transform the request body before sending it to the API.\n * This is useful for proxy providers that may require a different request format\n * than the official OpenAI API.\n */\n transformRequestBody?: (args: Record<string, any>) => Record<string, any>;\n};\n\nexport class OpenAICompatibleChatLanguageModel implements LanguageModelV3 {\n readonly specificationVersion = 'v3';\n\n readonly supportsStructuredOutputs: boolean;\n\n readonly modelId: OpenAICompatibleChatModelId;\n private readonly config: OpenAICompatibleChatConfig;\n private readonly failedResponseHandler: ResponseHandler<APICallError>;\n private readonly chunkSchema; // type inferred via constructor\n\n constructor(\n modelId: OpenAICompatibleChatModelId,\n config: OpenAICompatibleChatConfig,\n ) {\n this.modelId = modelId;\n this.config = config;\n\n // initialize error handling:\n const errorStructure =\n config.errorStructure ?? defaultOpenAICompatibleErrorStructure;\n this.chunkSchema = createOpenAICompatibleChatChunkSchema(\n errorStructure.errorSchema,\n );\n this.failedResponseHandler = createJsonErrorResponseHandler(errorStructure);\n\n this.supportsStructuredOutputs = config.supportsStructuredOutputs ?? false;\n }\n\n get provider(): string {\n return this.config.provider;\n }", | |
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| [2026-02-15T08:54:47.114Z] [INFO] { | |
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| "text": "The `@ai-sdk/openai-compatible` package **already supports specificationVersion v3**! I can see on line 62:\n\n```typescript\nreadonly specificationVersion = 'v3';\n```\n\nThis means the warning is happening because the version installed in the agent's cache is outdated. Let me check what version is being used:" | |
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| "content": " 1→{\n 2→ \"name\": \"@link-assistant/agent\",\n 3→ \"version\": \"0.13.2\",\n 4→ \"description\": \"A minimal, public domain AI CLI agent compatible with OpenCode's JSON interface. Bun-only runtime.\",\n 5→ \"main\": \"src/index.js\",\n 6→ \"type\": \"module\",\n 7→ \"bin\": {\n 8→ \"agent\": \"./src/index.js\"\n 9→ },\n 10→ \"scripts\": {\n 11→ \"dev\": \"bun run src/index.js\",\n 12→ \"test\": \"bun test\",\n 13→ \"lint\": \"eslint .\",\n 14→ \"lint:fix\": \"eslint . --fix\",\n 15→ \"format\": \"prettier --write .\",\n 16→ \"format:check\": \"prettier --check .\",\n 17→ \"check:file-size\": \"node ../scripts/check-file-size.mjs\",\n 18→ \"check\": \"npm run lint && npm run format:check && npm run check:file-size\",\n 19→ \"prepare\": \"cd .. && husky || true\",\n 20→ \"changeset\": \"changeset\",\n 21→ \"changeset:version\": \"node ../scripts/changeset-version.mjs\",\n 22→ \"changeset:publish\": \"changeset publish\",\n 23→ \"changeset:status\": \"changeset status --since=origin/main\"\n 24→ },\n 25→ \"engines\": {\n 26→ \"bun\": \">=1.0.0\"\n 27→ },\n 28→ \"repository\": {\n 29→ \"type\": \"git\",\n 30→ \"url\": \"https://github.com/link-assistant/agent\"\n 31→ },\n 32→ \"keywords\": [\n 33→ \"ai\",\n 34→ \"cli\",\n 35→ \"agent\",\n 36→ \"opencode\",\n 37→ \"bun\",\n 38→ \"assistant\",\n 39→ \"json-interface\"\n 40→ ],\n 41→ \"publishConfig\": {\n 42→ \"access\": \"public\"\n 43→ },\n 44→ \"files\": [\n 45→ \"src/\",\n 46→ \"package.json\",\n 47→ \"README.md\",\n 48→ \"../MODELS.md\",\n 49→ \"../TOOLS.md\",\n 50→ \"../EXAMPLES.md\",\n 51→ \"../LICENSE\"\n 52→ ],\n 53→ \"dependencies\": {\n 54→ \"@actions/core\": \"^1.11.1\",\n 55→ \"@actions/github\": \"^6.0.1\",\n 56→ \"@agentclientprotocol/sdk\": \"^0.5.1\",\n 57→ \"@ai-sdk/mcp\": \"^0.0.8\",\n 58→ \"@ai-sdk/xai\": \"^2.0.33\",\n 59→ \"@clack/prompts\": \"^0.11.0\",\n 60→ \"@hono/standard-validator\": \"^0.2.0\",\n 61→ \"@hono/zod-validator\": \"^0.7.5\",\n 62→ \"@modelcontextprotocol/sdk\": \"^1.22.0\",\n 63→ \"@octokit/graphql\": \"^9.0.3\",\n 64→ \"@octokit/rest\": \"^22.0.1\",\n 65→ \"@openauthjs/openauth\": \"^0.4.3\",\n 66→ \"@opencode-ai/sdk\": \"^1.0.78\",\n 67→ \"@opentui/core\": \"^0.1.46\",\n 68→ \"@opentui/solid\": \"^0.1.46\",\n 69→ \"@parcel/watcher\": \"^2.5.1\",\n 70→ \"@solid-primitives/event-bus\": \"^1.1.2\",\n 71→ \"@standard-community/standard-json\": \"^0.3.5\",\n 72→ \"@standard-community/standard-openapi\": \"^0.2.9\",\n 73→ \"@zip.js/zip.js\": \"^2.8.10\",\n 74→ \"ai\": \"^6.0.1\",\n 75→ \"chokidar\": \"^4.0.3\",\n 76→ \"clipboardy\": \"^5.0.0\",\n 77→ \"command-stream\": \"^0.7.1\",\n 78→ \"decimal.js\": \"^10.6.0\",\n 79→ \"diff\": \"^8.0.2\",\n 80→ \"fuzzysort\": \"^3.1.0\",\n 81→ \"glob\": \"^10.0.0\",\n 82→ \"gray-matter\": \"^4.0.3\",\n 83→ \"hono\": \"^4.10.6\",\n 84→ \"hono-openapi\": \"^1.1.1\",\n 85→ \"ignore\": \"^7.0.5\",\n 86→ \"jsonc-parser\": \"^3.3.1\",\n 87→ \"lino-objects-codec\": \"^0.1.1\",\n 88→ \"log-lazy\": \"^1.0.4\",\n 89→ \"minimatch\": \"^10.1.1\",\n 90→ \"remeda\": \"^2.32.0\",\n 91→ \"solid-js\": \"^1.9.10\",\n 92→ \"strip-ansi\": \"^7.1.2\",\n 93→ \"test-anywhere\": \"^0.7.0\",\n 94→ \"tree-sitter-bash\": \"^0.25.0\",\n 95→ \"turndown\": \"^7.2.2\",\n 96→ \"ulid\": \"^3.0.1\",\n 97→ \"vscode-jsonrpc\": \"^8.2.1\",\n 98→ \"vscode-languageserver-types\": \"^3.17.5\",\n 99→ \"web-tree-sitter\": \"^0.25.10\",\n 100→ \"xdg-basedir\": \"^5.1.0\",\n 101→ \"yargs\": \"^18.0.0\",\n 102→ \"zod\": \"^4.1.12\"\n 103→ },\n 104→ \"devDependencies\": {\n 105→ \"@changesets/cli\": \"^2.29.7\",\n 106→ \"@eslint/js\": \"^9.18.0\",\n 107→ \"eslint\": \"^9.38.0\",\n 108→ \"eslint-config-prettier\": \"^10.1.8\",\n 109→ \"eslint-plugin-prettier\": \"^5.5.4\",\n 110→ \"husky\": \"^9.1.7\",\n 111→ \"lint-staged\": \"^16.2.6\",\n 112→ \"prettier\": \"^3.6.2\"\n 113→ },\n 114→ \"lint-staged\": {\n 115→ \"*.{js,mjs,cjs}\": [\n 116→ \"eslint --fix --max-warnings 0\",\n 117→ \"prettier --write\",\n 118→ \"prettier --check\"\n 119→ ],\n 120→ \"*.md\": [\n 121→ \"prettier --write\",\n 122→ \"prettier --check\"\n 123→ ]\n 124→ },\n 125→ \"license\": \"Unlicense\"\n 126→}\n 127→\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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| "type": "text", | |
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| "content": "{\n \"name\": \"@link-assistant/agent\",\n \"version\": \"0.13.2\",\n \"description\": \"A minimal, public domain AI CLI agent compatible with OpenCode's JSON interface. Bun-only runtime.\",\n \"main\": \"src/index.js\",\n \"type\": \"module\",\n \"bin\": {\n \"agent\": \"./src/index.js\"\n },\n \"scripts\": {\n \"dev\": \"bun run src/index.js\",\n \"test\": \"bun test\",\n \"lint\": \"eslint .\",\n \"lint:fix\": \"eslint . --fix\",\n \"format\": \"prettier --write .\",\n \"format:check\": \"prettier --check .\",\n \"check:file-size\": \"node ../scripts/check-file-size.mjs\",\n \"check\": \"npm run lint && npm run format:check && npm run check:file-size\",\n \"prepare\": \"cd .. && husky || true\",\n \"changeset\": \"changeset\",\n \"changeset:version\": \"node ../scripts/changeset-version.mjs\",\n \"changeset:publish\": \"changeset publish\",\n \"changeset:status\": \"changeset status --since=origin/main\"\n },\n \"engines\": {\n \"bun\": \">=1.0.0\"\n },\n \"repository\": {\n \"type\": \"git\",\n \"url\": \"https://github.com/link-assistant/agent\"\n },\n \"keywords\": [\n \"ai\",\n \"cli\",\n \"agent\",\n \"opencode\",\n \"bun\",\n \"assistant\",\n \"json-interface\"\n ],\n \"publishConfig\": {\n \"access\": \"public\"\n },\n \"files\": [\n \"src/\",\n \"package.json\",\n \"README.md\",\n \"../MODELS.md\",\n \"../TOOLS.md\",\n \"../EXAMPLES.md\",\n \"../LICENSE\"\n ],\n \"dependencies\": {\n \"@actions/core\": \"^1.11.1\",\n \"@actions/github\": \"^6.0.1\",\n \"@agentclientprotocol/sdk\": \"^0.5.1\",\n \"@ai-sdk/mcp\": \"^0.0.8\",\n \"@ai-sdk/xai\": \"^2.0.33\",\n \"@clack/prompts\": \"^0.11.0\",\n \"@hono/standard-validator\": \"^0.2.0\",\n \"@hono/zod-validator\": \"^0.7.5\",\n \"@modelcontextprotocol/sdk\": \"^1.22.0\",\n \"@octokit/graphql\": \"^9.0.3\",\n \"@octokit/rest\": \"^22.0.1\",\n \"@openauthjs/openauth\": \"^0.4.3\",\n \"@opencode-ai/sdk\": \"^1.0.78\",\n \"@opentui/core\": \"^0.1.46\",\n \"@opentui/solid\": \"^0.1.46\",\n \"@parcel/watcher\": \"^2.5.1\",\n \"@solid-primitives/event-bus\": \"^1.1.2\",\n \"@standard-community/standard-json\": \"^0.3.5\",\n \"@standard-community/standard-openapi\": \"^0.2.9\",\n \"@zip.js/zip.js\": \"^2.8.10\",\n \"ai\": \"^6.0.1\",\n \"chokidar\": \"^4.0.3\",\n \"clipboardy\": \"^5.0.0\",\n \"command-stream\": \"^0.7.1\",\n \"decimal.js\": \"^10.6.0\",\n \"diff\": \"^8.0.2\",\n \"fuzzysort\": \"^3.1.0\",\n \"glob\": \"^10.0.0\",\n \"gray-matter\": \"^4.0.3\",\n \"hono\": \"^4.10.6\",\n \"hono-openapi\": \"^1.1.1\",\n \"ignore\": \"^7.0.5\",\n \"jsonc-parser\": \"^3.3.1\",\n \"lino-objects-codec\": \"^0.1.1\",\n \"log-lazy\": \"^1.0.4\",\n \"minimatch\": \"^10.1.1\",\n \"remeda\": \"^2.32.0\",\n \"solid-js\": \"^1.9.10\",\n \"strip-ansi\": \"^7.1.2\",\n \"test-anywhere\": \"^0.7.0\",\n \"tree-sitter-bash\": \"^0.25.0\",\n \"turndown\": \"^7.2.2\",\n \"ulid\": \"^3.0.1\",\n \"vscode-jsonrpc\": \"^8.2.1\",\n \"vscode-languageserver-types\": \"^3.17.5\",\n \"web-tree-sitter\": \"^0.25.10\",\n \"xdg-basedir\": \"^5.1.0\",\n \"yargs\": \"^18.0.0\",\n \"zod\": \"^4.1.12\"\n },\n \"devDependencies\": {\n \"@changesets/cli\": \"^2.29.7\",\n \"@eslint/js\": \"^9.18.0\",\n \"eslint\": \"^9.38.0\",\n \"eslint-config-prettier\": \"^10.1.8\",\n \"eslint-plugin-prettier\": \"^5.5.4\",\n \"husky\": \"^9.1.7\",\n \"lint-staged\": \"^16.2.6\",\n \"prettier\": \"^3.6.2\"\n },\n \"lint-staged\": {\n \"*.{js,mjs,cjs}\": [\n \"eslint --fix --max-warnings 0\",\n \"prettier --write\",\n \"prettier --check\"\n ],\n \"*.md\": [\n \"prettier --write\",\n \"prettier --check\"\n ]\n },\n \"license\": \"Unlicense\"\n}\n", | |
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| [2026-02-15T08:54:53.390Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-5-20251101", | |
| "id": "msg_01TdrA3nEgcKYZLTMzFrhhgC", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": "Now I understand. The package.json shows they use `ai: ^6.0.1`. The issue is that when the CLI dynamically installs `@ai-sdk/openai-compatible` using the provider system, it's installing to a user's cache, and that cached version might be outdated (v1.x which has specificationVersion: 'v2' instead of v2.x which has specificationVersion: 'v3').\n\nLet me check the provider code to understand how the package is installed:" | |
| } | |
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| [2026-02-15T08:54:54.312Z] [INFO] { | |
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| "model": "claude-opus-4-5-20251101", | |
| "id": "msg_01TdrA3nEgcKYZLTMzFrhhgC", | |
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| "role": "assistant", | |
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| "type": "tool_use", | |
| "id": "toolu_018DbjJJDxykZ7s3RNBNRXPt", | |
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| "file_path": "/tmp/gh-issue-solver-1771145558194/js/src/provider/provider.ts" | |
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| "type": "direct" | |
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| [2026-02-15T08:54:54.536Z] [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 OpenRouter-compatible API at https://api.kilo.ai/api/openrouter\n 328→ *\n 329→ * Authentication required: run `agent auth login` and select \"Kilo Gateway\"\n 330→ * For API key authentication, set KILO_API_KEY environment variable\n 331→ *\n 332→ * Free models available after authentication:\n 333→ * - GLM-5 (z-ai/glm-5) - Free limited time, flagship Z.AI model\n 334→ * - GLM 4.7 (z-ai/glm-4.7:free) - Free, agent-centric model\n 335→ * - Kimi K2.5 (moonshot/kimi-k2.5:free) - Free, agentic capabilities\n 336→ * - MiniMax M2.1 (minimax/m2.1:free) - Free, general-purpose\n 337→ * - Giga Potato (giga-potato:free) - Free evaluation model\n 338→ *\n 339→ * @see https://kilo.ai/docs/gateway\n 340→ * @see https://kilo.ai/docs/advanced-usage/free-and-budget-models\n 341→ * @see https://github.com/Kilo-Org/kilo/tree/main/packages/kilo-gateway\n 342→ */\n 343→ kilo: async (input) => {\n 344→ const hasKey = await (async () => {\n 345→ if (input.env.some((item) => process.env[item])) return true;\n 346→ if (await Auth.get(input.id)) return true;\n 347→ return false;\n 348→ })();\n 349→\n 350→ // Filter to only free models when no API key\n 351→ if (!hasKey) {\n 352→ for (const [key, value] of Object.entries(input.models)) {\n 353→ // Keep only free models (cost.input === 0) when no API key\n 354→ if (value.cost.input === 0) continue;\n 355→ delete input.models[key];\n 356→ }\n 357→ }\n 358→\n 359→ // Build options\n 360→ const options: Record<string, any> = {};\n 361→\n 362→ // Kilo-specific headers for the OpenRouter-compatible API\n 363→ // @see https://github.com/Kilo-Org/kilo/blob/main/packages/kilo-gateway/src/headers.ts\n 364→ const headers: Record<string, string> = {\n 365→ 'User-Agent': 'opencode-kilo-provider',\n 366→ 'X-KILOCODE-EDITORNAME': 'link-assistant-agent',\n 367→ };\n 368→\n 369→ // Pass KILO_ORG_ID if available\n 370→ if (process.env['KILO_ORG_ID']) {\n 371→ headers['X-KILOCODE-ORGANIZATIONID'] = process.env['KILO_ORG_ID'];\n 372→ }\n 373→\n 374→ options.headers = headers;\n 375→\n 376→ // Use auth token if available (from `agent auth login` -> Kilo device auth)\n 377→ if (!hasKey) {\n 378→ // Without authentication, use 'anonymous' key\n 379→ // Note: The Kilo API may reject anonymous requests for completions.\n 380→ // Users should authenticate via `agent auth login` for reliable access.\n 381→ options.apiKey = 'anonymous';\n 382→ } else {\n 383→ // If we have stored auth, the loader will provide the token\n 384→ const auth = await Auth.get(input.id);\n 385→ if (auth) {\n 386→ if (auth.type === 'api') {\n 387→ options.apiKey = auth.key;\n 388→ } else if (auth.type === 'oauth') {\n 389→ options.apiKey = auth.access;\n 390→ }\n 391→ }\n 392→ }\n 393→\n 394→ return {\n 395→ autoload: Object.keys(input.models).length > 0,\n 396→ options,\n 397→ };\n 398→ },\n 399→ /**\n 400→ * Qwen Coder OAuth provider for Qwen subscription users\n 401→ * Uses OAuth credentials from agent auth login (Qwen Coder Subscription)\n 402→ *\n 403→ * To authenticate, run: agent auth login (select Qwen Coder)\n 404→ */\n 405→ 'qwen-coder': async (input) => {\n 406→ const auth = await Auth.get('qwen-coder');\n 407→ if (auth?.type === 'oauth') {\n 408→ log.info(() => ({\n 409→ message: 'using qwen-coder oauth credentials',\n 410→ }));\n 411→ const loaderFn = await AuthPlugins.getLoader('qwen-coder');\n 412→ if (loaderFn) {\n 413→ const result = await loaderFn(() => Auth.get('qwen-coder'), input);\n 414→ if (result.fetch) {\n 415→ return {\n 416→ autoload: true,\n 417→ options: {\n 418→ apiKey: result.apiKey || '',\n 419→ baseURL: result.baseURL,\n 420→ fetch: result.fetch,\n 421→ },\n 422→ };\n 423→ }\n 424→ }\n 425→ }\n 426→ // Default: not auto-loaded without OAuth\n 427→ return { autoload: false };\n 428→ },\n 429→ /**\n 430→ * Alibaba OAuth provider (alias for Qwen Coder)\n 431→ * Uses OAuth credentials from agent auth login (Alibaba / Qwen Coder Subscription)\n 432→ *\n 433→ * To authenticate, run: agent auth login (select Alibaba)\n 434→ */\n 435→ alibaba: async (input) => {\n 436→ const auth = await Auth.get('alibaba');\n 437→ if (auth?.type === 'oauth') {\n 438→ log.info(() => ({\n 439→ message: 'using alibaba oauth credentials',\n 440→ }));\n 441→ const loaderFn = await AuthPlugins.getLoader('alibaba');\n 442→ if (loaderFn) {\n 443→ const result = await loaderFn(() => Auth.get('alibaba'), input);\n 444→ if (result.fetch) {\n 445→ return {\n 446→ autoload: true,\n 447→ options: {\n 448→ apiKey: result.apiKey || '',\n 449→ baseURL: result.baseURL,\n 450→ fetch: result.fetch,\n 451→ },\n 452→ };\n 453→ }\n 454→ }\n 455→ }\n 456→ // Default: not auto-loaded without OAuth\n 457→ return { autoload: false };\n 458→ },\n 459→ /**\n 460→ * Google OAuth provider for Gemini subscription users\n 461→ * Uses OAuth credentials from agent auth login (Google AI Pro/Ultra)\n 462→ *\n 463→ * To authenticate, run: agent auth google\n 464→ */\n 465→ google: async (input) => {\n 466→ const auth = await Auth.get('google');\n 467→ if (auth?.type === 'oauth') {\n 468→ log.info(() => ({ message: 'using google oauth credentials' }));\n 469→ const loaderFn = await AuthPlugins.getLoader('google');\n 470→ if (loaderFn) {\n 471→ const result = await loaderFn(() => Auth.get('google'), input);\n 472→ if (result.fetch) {\n 473→ return {\n 474→ autoload: true,\n 475→ options: {\n 476→ apiKey: result.apiKey || '',\n 477→ fetch: result.fetch,\n 478→ },\n 479→ };\n 480→ }\n 481→ }\n 482→ }\n 483→ // Default: API key auth (no OAuth credentials found)\n 484→ return { autoload: false };\n 485→ },\n 486→ /**\n 487→ * GitHub Copilot OAuth provider\n 488→ * Uses OAuth credentials from agent auth login\n 489→ */\n 490→ 'github-copilot': async (input) => {\n 491→ const auth = await Auth.get('github-copilot');\n 492→ if (auth?.type === 'oauth') {\n 493→ log.info(() => ({\n 494→ message: 'using github copilot oauth credentials',\n 495→ }));\n 496→ const loaderFn = await AuthPlugins.getLoader('github-copilot');\n 497→ if (loaderFn) {\n 498→ const result = await loaderFn(\n 499→ () => Auth.get('github-copilot'),\n 500→ input\n 501→ );\n 502→ if (result.fetch) {\n 503→ return {\n 504→ autoload: true,\n 505→ options: {\n 506→ apiKey: result.apiKey || '',\n 507→ baseURL: result.baseURL,\n 508→ fetch: result.fetch,\n 509→ },\n 510→ };\n 511→ }\n 512→ }\n 513→ }\n 514→ return { autoload: false };\n 515→ },\n 516→ /**\n 517→ * GitHub Copilot Enterprise OAuth provider\n 518→ * Uses OAuth credentials from agent auth login with enterprise URL\n 519→ */\n 520→ 'github-copilot-enterprise': async (input) => {\n 521→ const auth = await Auth.get('github-copilot-enterprise');\n 522→ if (auth?.type === 'oauth') {\n 523→ log.info(() => ({\n 524→ message: 'using github copilot enterprise oauth credentials',\n 525→ }));\n 526→ const loaderFn = await AuthPlugins.getLoader('github-copilot');\n 527→ if (loaderFn) {\n 528→ const result = await loaderFn(\n 529→ () => Auth.get('github-copilot-enterprise'),\n 530→ input\n 531→ );\n 532→ if (result.fetch) {\n 533→ return {\n 534→ autoload: true,\n 535→ options: {\n 536→ apiKey: result.apiKey || '',\n 537→ baseURL: result.baseURL,\n 538→ fetch: result.fetch,\n 539→ },\n 540→ };\n 541→ }\n 542→ }\n 543→ }\n 544→ return { autoload: false };\n 545→ },\n 546→ /**\n 547→ * Claude OAuth provider - uses Claude OAuth credentials to access\n 548→ * Anthropic models via the Claude API.\n 549→ *\n 550→ * This provider supports two methods:\n 551→ * 1. Environment variable: CLAUDE_CODE_OAUTH_TOKEN\n 552→ * 2. Credentials file: ~/.claude/.credentials.json (from Claude Code CLI or our auth command)\n 553→ *\n 554→ * OAuth tokens use Bearer authentication (Authorization header)\n 555→ * instead of x-api-key authentication used by standard API keys.\n 556→ *\n 557→ * To authenticate, run: agent auth claude\n 558→ */\n 559→ 'claude-oauth': async (input) => {\n 560→ // Check for OAuth token from environment variable first\n 561→ let oauthToken = process.env['CLAUDE_CODE_OAUTH_TOKEN'];\n 562→ let tokenSource = 'environment';\n 563→\n 564→ if (!oauthToken) {\n 565→ // Check for OAuth credentials from credentials file\n 566→ const claudeCreds = await ClaudeOAuth.getCredentials();\n 567→ if (claudeCreds) {\n 568→ oauthToken = claudeCreds.accessToken;\n 569→ tokenSource = `credentials file (${claudeCreds.subscriptionType ?? 'unknown'})`;\n 570→ }\n 571→ }\n 572→\n 573→ if (!oauthToken) {\n 574→ return { autoload: false };\n 575→ }\n 576→\n 577→ log.info(() => ({\n 578→ message: 'using claude oauth credentials',\n 579→ source: tokenSource,\n 580→ }));\n 581→\n 582→ // Create authenticated fetch with Bearer token and OAuth beta header\n 583→ const customFetch = ClaudeOAuth.createAuthenticatedFetch(oauthToken);\n 584→\n 585→ return {\n 586→ autoload: true,\n 587→ options: {\n 588→ // Use a placeholder key to satisfy the SDK's API key requirement\n 589→ // The actual authentication is done via Bearer token in customFetch\n 590→ apiKey: 'oauth-token-placeholder',\n 591→ fetch: customFetch,\n 592→ headers: {\n 593→ 'anthropic-beta':\n 594→ 'oauth-2025-04-20,claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n 595→ },\n 596→ },\n 597→ };\n 598→ },\n 599→ /**\n 600→ * Echo provider - synthetic provider for dry-run testing\n 601→ * Echoes back the user's input without making actual API calls.\n 602→ *\n 603→ * This provider is automatically enabled when --dry-run mode is active.\n 604→ * It can also be used explicitly with: --model link-assistant/echo\n 605→ *\n 606→ * @see https://github.com/link-assistant/agent/issues/89\n 607→ */\n 608→ 'link-assistant': async () => {\n 609→ // Echo provider is always available - no external dependencies needed\n 610→ return {\n 611→ autoload: Flag.OPENCODE_DRY_RUN, // Auto-load only in dry-run mode\n 612→ async getModel(_sdk: any, modelID: string) {\n 613→ // Return our custom echo model that implements LanguageModelV1\n 614→ return createEchoModel(modelID);\n 615→ },\n 616→ options: {},\n 617→ };\n 618→ },\n 619→ /**\n 620→ * Cache provider - synthetic provider for caching API responses\n 621→ * Caches responses using links notation for deterministic testing.\n 622→ *\n 623→ * This provider caches API responses and falls back to echo behavior.\n 624→ * It can be used explicitly with: --model link-assistant/cache/opencode/grok-code\n 625→ *\n 626→ * @see https://github.com/link-assistant/agent/issues/89\n 627→ */\n 628→ 'link-assistant/cache': async () => {\n 629→ // Cache provider is always available - no external dependencies needed\n 630→ return {\n 631→ autoload: false, // Not auto-loaded\n 632→ async getModel(_sdk: any, modelID: string) {\n 633→ // modelID should be in format \"provider/model\" like \"opencode/grok-code\"\n 634→ const parts = modelID.split('/');\n 635→ if (parts.length < 2) {\n 636→ throw new Error(\n 637→ `Invalid cache model ID: ${modelID}. Expected format: provider/model`\n 638→ );\n 639→ }\n 640→ const [providerId, ...modelParts] = parts;\n 641→ const actualModelId = modelParts.join('/');\n 642→\n 643→ // Return our custom cache model that implements LanguageModelV1\n 644→ return createCacheModel(providerId, actualModelId);\n 645→ },\n 646→ options: {},\n 647→ };\n 648→ },\n 649→ };\n 650→\n 651→ const state = Instance.state(async () => {\n 652→ using _ = log.time('state');\n 653→ const config = await Config.get();\n 654→ const database = await ModelsDev.get();\n 655→\n 656→ const providers: {\n 657→ [providerID: string]: {\n 658→ source: Source;\n 659→ info: ModelsDev.Provider;\n 660→ getModel?: (\n 661→ sdk: any,\n 662→ modelID: string,\n 663→ options?: Record<string, any>\n 664→ ) => Promise<any>;\n 665→ options: Record<string, any>;\n 666→ };\n 667→ } = {};\n 668→ const models = new Map<\n 669→ string,\n 670→ {\n 671→ providerID: string;\n 672→ modelID: string;\n 673→ info: ModelsDev.Model;\n 674→ language: LanguageModel;\n 675→ npm?: string;\n 676→ }\n 677→ >();\n 678→ const sdk = new Map<number, SDK>();\n 679→ // Maps `${provider}/${key}` to the provider’s actual model ID for custom aliases.\n 680→ const realIdByKey = new Map<string, string>();\n 681→\n 682→ log.info(() => ({ message: 'init' }));\n 683→\n 684→ function mergeProvider(\n 685→ id: string,\n 686→ options: Record<string, any>,\n 687→ source: Source,\n 688→ getModel?: (\n 689→ sdk: any,\n 690→ modelID: string,\n 691→ options?: Record<string, any>\n 692→ ) => Promise<any>\n 693→ ) {\n 694→ const provider = providers[id];\n 695→ if (!provider) {\n 696→ const info = database[id];\n 697→ if (!info) return;\n 698→ if (info.api && !options['baseURL']) options['baseURL'] = info.api;\n 699→ providers[id] = {\n 700→ source,\n 701→ info,\n 702→ options,\n 703→ getModel,\n 704→ };\n 705→ return;\n 706→ }\n 707→ provider.options = mergeDeep(provider.options, options);\n 708→ provider.source = source;\n 709→ provider.getModel = getModel ?? provider.getModel;\n 710→ }\n 711→\n 712→ const configProviders = Object.entries(config.provider ?? {});\n 713→\n 714→ // Add GitHub Copilot Enterprise provider that inherits from GitHub Copilot\n 715→ if (database['github-copilot']) {\n 716→ const githubCopilot = database['github-copilot'];\n 717→ database['github-copilot-enterprise'] = {\n 718→ ...githubCopilot,\n 719→ id: 'github-copilot-enterprise',\n 720→ name: 'GitHub Copilot Enterprise',\n 721→ // Enterprise uses a different API endpoint - will be set dynamically based on auth\n 722→ api: undefined,\n 723→ };\n 724→ }\n 725→\n 726→ // Add Claude OAuth provider that inherits from Anthropic\n 727→ // This allows using Claude Code CLI OAuth credentials with the Anthropic API\n 728→ if (database['anthropic']) {\n 729→ const anthropic = database['anthropic'];\n 730→ database['claude-oauth'] = {\n 731→ ...anthropic,\n 732→ id: 'claude-oauth',\n 733→ name: 'Claude OAuth',\n 734→ // Use CLAUDE_CODE_OAUTH_TOKEN environment variable\n 735→ env: ['CLAUDE_CODE_OAUTH_TOKEN'],\n 736→ };\n 737→ }\n 738→\n 739→ // Add gemini-3-pro alias for google provider\n 740→ // The actual model in Google's API is gemini-3-pro-preview, but we add gemini-3-pro as an alias for convenience\n 741→ if (database['google']?.models['gemini-3-pro-preview']) {\n 742→ const gemini3ProPreview =\n 743→ database['google'].models['gemini-3-pro-preview'];\n 744→ database['google'].models['gemini-3-pro'] = {\n 745→ ...gemini3ProPreview,\n 746→ id: 'gemini-3-pro-preview',\n 747→ name: 'Gemini 3 Pro',\n 748→ };\n 749→ realIdByKey.set('google/gemini-3-pro', 'gemini-3-pro-preview');\n 750→ }\n 751→\n 752→ // Add link-assistant echo provider for dry-run testing\n 753→ // This synthetic provider echoes back user input without API calls\n 754→ // @see https://github.com/link-assistant/agent/issues/89\n 755→ database['link-assistant'] = {\n 756→ id: 'link-assistant',\n 757→ name: 'Link Assistant (Echo)',\n 758→ env: [], // No environment variables needed - synthetic provider\n 759→ models: {\n 760→ echo: {\n 761→ id: 'echo',\n 762→ name: 'Echo Model',\n 763→ release_date: '2024-01-01',\n 764→ attachment: false,\n 765→ reasoning: false,\n 766→ temperature: false,\n 767→ tool_call: true,\n 768→ cost: {\n 769→ input: 0,\n 770→ output: 0,\n 771→ cache_read: 0,\n 772→ cache_write: 0,\n 773→ },\n 774→ limit: {\n 775→ context: 1000000, // Virtually unlimited\n 776→ output: 100000,\n 777→ },\n 778→ modalities: {\n 779→ input: ['text'],\n 780→ output: ['text'],\n 781→ },\n 782→ options: {},\n 783→ },\n 784→ },\n 785→ };\n 786→\n 787→ // Add link-assistant/cache provider for caching API responses\n 788→ // This synthetic provider caches responses and falls back to echo\n 789→ // @see https://github.com/link-assistant/agent/issues/89\n 790→ database['link-assistant/cache'] = {\n 791→ id: 'link-assistant/cache',\n 792→ name: 'Link Assistant (Cache)',\n 793→ env: [], // No environment variables needed - synthetic provider\n 794→ models: {}, // Models are dynamically created based on the provider/model syntax\n 795→ };\n 796→\n 797→ // Add Kilo provider for access to 500+ AI models through Kilo Gateway\n 798→ // Free models available: GLM-5, GLM 4.7, Kimi K2.5, MiniMax M2.1, Giga Potato\n 799→ // @see https://kilo.ai/docs/gateway\n 800→ // @see https://github.com/link-assistant/agent/issues/159\n 801→ database['kilo'] = {\n 802→ id: 'kilo',\n 803→ name: 'Kilo Gateway',\n 804→ npm: '@openrouter/ai-sdk-provider',\n 805→ api: 'https://api.kilo.ai/api/openrouter',\n 806→ env: ['KILO_API_KEY'],\n 807→ models: {\n 808→ // GLM-5 - Flagship Z.AI model, free tier\n 809→ // Kilo API model ID: z-ai/glm-5:free (NOT z-ai/glm-5 which is paid)\n 810→ 'glm-5-free': {\n 811→ id: 'z-ai/glm-5:free',\n 812→ name: 'GLM-5 (Free)',\n 813→ release_date: '2026-02-11',\n 814→ attachment: false,\n 815→ reasoning: true,\n 816→ temperature: true,\n 817→ tool_call: true,\n 818→ cost: {\n 819→ input: 0,\n 820→ output: 0,\n 821→ cache_read: 0,\n 822→ cache_write: 0,\n 823→ },\n 824→ limit: {\n 825→ context: 202800,\n 826→ output: 131072,\n 827→ },\n 828→ modalities: {\n 829→ input: ['text'],\n 830→ output: ['text'],\n 831→ },\n 832→ options: {},\n 833→ },\n 834→ // GLM 4.5 Air - Free Z.AI model (replaces non-existent glm-4.7:free)\n 835→ // Kilo API model ID: z-ai/glm-4.5-air:free\n 836→ 'glm-4.5-air-free': {\n 837→ id: 'z-ai/glm-4.5-air:free',\n 838→ name: 'GLM 4.5 Air (Free)',\n 839→ release_date: '2026-01-15',\n 840→ attachment: false,\n 841→ reasoning: true,\n 842→ temperature: true,\n 843→ tool_call: true,\n 844→ cost: {\n 845→ input: 0,\n 846→ output: 0,\n 847→ cache_read: 0,\n 848→ cache_write: 0,\n 849→ },\n 850→ limit: {\n 851→ context: 131072,\n 852→ output: 96000,\n 853→ },\n 854→ modalities: {\n 855→ input: ['text'],\n 856→ output: ['text'],\n 857→ },\n 858→ options: {},\n 859→ },\n 860→ // MiniMax M2.5 - General-purpose, free (upgraded from M2.1)\n 861→ // Kilo API model ID: minimax/minimax-m2.5:free\n 862→ 'minimax-m2.5-free': {\n 863→ id: 'minimax/minimax-m2.5:free',\n 864→ name: 'MiniMax M2.5 (Free)',\n 865→ release_date: '2026-01-01',\n 866→ attachment: false,\n 867→ reasoning: true,\n 868→ temperature: true,\n 869→ tool_call: true,\n 870→ cost: {\n 871→ input: 0,\n 872→ output: 0,\n 873→ cache_read: 0,\n 874→ cache_write: 0,\n 875→ },\n 876→ limit: {\n 877→ context: 204800,\n 878→ output: 131072,\n 879→ },\n 880→ modalities: {\n 881→ input: ['text'],\n 882→ output: ['text'],\n 883→ },\n 884→ options: {},\n 885→ },\n 886→ // Giga Potato - Free evaluation model\n 887→ // Kilo API model ID: giga-potato (no :free suffix)\n 888→ 'giga-potato-free': {\n 889→ id: 'giga-potato',\n 890→ name: 'Giga Potato (Free)',\n 891→ release_date: '2026-01-01',\n 892→ attachment: true,\n 893→ reasoning: true,\n 894→ temperature: true,\n 895→ tool_call: true,\n 896→ cost: {\n 897→ input: 0,\n 898→ output: 0,\n 899→ cache_read: 0,\n 900→ cache_write: 0,\n 901→ },\n 902→ limit: {\n 903→ context: 256000,\n 904→ output: 32000,\n 905→ },\n 906→ modalities: {\n 907→ input: ['text', 'image'],\n 908→ output: ['text'],\n 909→ },\n 910→ options: {},\n 911→ },\n 912→ // Trinity Large Preview - Preview model from Arcee AI\n 913→ // Kilo API model ID: arcee-ai/trinity-large-preview:free\n 914→ 'trinity-large-preview': {\n 915→ id: 'arcee-ai/trinity-large-preview:free',\n 916→ name: 'Trinity Large Preview (Free)',\n 917→ release_date: '2026-01-01',\n 918→ attachment: false,\n 919→ reasoning: false,\n 920→ temperature: true,\n 921→ tool_call: true,\n 922→ cost: {\n 923→ input: 0,\n 924→ output: 0,\n 925→ cache_read: 0,\n 926→ cache_write: 0,\n 927→ },\n 928→ limit: {\n 929→ context: 131000,\n 930→ output: 65536,\n 931→ },\n 932→ modalities: {\n 933→ input: ['text'],\n 934→ output: ['text'],\n 935→ },\n 936→ options: {},\n 937→ },\n 938→ // DeepSeek R1 - Reasoning model, free\n 939→ // Kilo API model ID: deepseek/deepseek-r1-0528:free\n 940→ 'deepseek-r1-free': {\n 941→ id: 'deepseek/deepseek-r1-0528:free',\n 942→ name: 'DeepSeek R1 (Free)',\n 943→ release_date: '2025-05-28',\n 944→ attachment: false,\n 945→ reasoning: true,\n 946→ temperature: true,\n 947→ tool_call: false,\n 948→ cost: {\n 949→ input: 0,\n 950→ output: 0,\n 951→ cache_read: 0,\n 952→ cache_write: 0,\n 953→ },\n 954→ limit: {\n 955→ context: 163840,\n 956→ output: 163840,\n 957→ },\n 958→ modalities: {\n 959→ input: ['text'],\n 960→ output: ['text'],\n 961→ },\n 962→ options: {},\n 963→ },\n 964→ },\n 965→ };\n 966→\n 967→ for (const [providerID, provider] of configProviders) {\n 968→ const existing = database[providerID];\n 969→ const parsed: ModelsDev.Provider = {\n 970→ id: providerID,\n 971→ npm: provider.npm ?? existing?.npm,\n 972→ name: provider.name ?? existing?.name ?? providerID,\n 973→ env: provider.env ?? existing?.env ?? [],\n 974→ api: provider.api ?? existing?.api,\n 975→ models: existing?.models ?? {},\n 976→ };\n 977→\n 978→ for (const [modelID, model] of Object.entries(provider.models ?? {})) {\n 979→ const existing = parsed.models[model.id ?? modelID];\n 980→ const name = iife(() => {\n 981→ if (model.name) return model.name;\n 982→ if (model.id && model.id !== modelID) return modelID;\n 983→ return existing?.name ?? modelID;\n 984→ });\n 985→ const parsedModel: ModelsDev.Model = {\n 986→ id: modelID,\n 987→ name,\n 988→ release_date: model.release_date ?? existing?.release_date,\n 989→ attachment: model.attachment ?? existing?.attachment ?? false,\n 990→ reasoning: model.reasoning ?? existing?.reasoning ?? false,\n 991→ temperature: model.temperature ?? existing?.temperature ?? false,\n 992→ tool_call: model.tool_call ?? existing?.tool_call ?? true,\n 993→ cost:\n 994→ !model.cost && !existing?.cost\n 995→ ? {\n 996→ input: 0,\n 997→ output: 0,\n 998→ cache_read: 0,\n 999→ cache_write: 0,\n 1000→ }\n 1001→ : {\n 1002→ cache_read: 0,\n 1003→ cache_write: 0,\n 1004→ ...existing?.cost,\n 1005→ ...model.cost,\n 1006→ },\n 1007→ options: {\n 1008→ ...existing?.options,\n 1009→ ...model.options,\n 1010→ },\n 1011→ limit: model.limit ??\n 1012→ existing?.limit ?? {\n 1013→ context: 0,\n 1014→ output: 0,\n 1015→ },\n 1016→ modalities: model.modalities ??\n 1017→ existing?.modalities ?? {\n 1018→ input: ['text'],\n 1019→ output: ['text'],\n 1020→ },\n 1021→ headers: model.headers,\n 1022→ provider: model.provider ?? existing?.provider,\n 1023→ };\n 1024→ if (model.id && model.id !== modelID) {\n 1025→ realIdByKey.set(`${providerID}/${modelID}`, model.id);\n 1026→ }\n 1027→ parsed.models[modelID] = parsedModel;\n 1028→ }\n 1029→ database[providerID] = parsed;\n 1030→ }\n 1031→\n 1032→ const disabled = await Config.get().then(\n 1033→ (cfg) => new Set(cfg.disabled_providers ?? [])\n 1034→ );\n 1035→ // load env\n 1036→ for (const [providerID, provider] of Object.entries(database)) {\n 1037→ if (disabled.has(providerID)) continue;\n 1038→ // Find the first truthy env var (supports multiple env var options like Google's\n 1039→ // GOOGLE_GENERATIVE_AI_API_KEY and GEMINI_API_KEY)\n 1040→ const apiKey = provider.env\n 1041→ .map((item) => process.env[item])\n 1042→ .find(Boolean);\n 1043→ if (!apiKey) continue;\n 1044→ // Always pass the API key - the provider SDK needs it for authentication\n 1045→ mergeProvider(providerID, { apiKey }, 'env');\n 1046→ }\n 1047→\n 1048→ // load apikeys\n 1049→ for (const [providerID, provider] of Object.entries(await Auth.all())) {\n 1050→ if (disabled.has(providerID)) continue;\n 1051→ if (provider.type === 'api') {\n 1052→ mergeProvider(providerID, { apiKey: provider.key }, 'api');\n 1053→ }\n 1054→ }\n 1055→\n 1056→ // load custom\n 1057→ for (const [providerID, fn] of Object.entries(CUSTOM_LOADERS)) {\n 1058→ if (disabled.has(providerID)) continue;\n 1059→ const result = await fn(database[providerID]);\n 1060→ if (result && (result.autoload || providers[providerID])) {\n 1061→ mergeProvider(\n 1062→ providerID,\n 1063→ result.options ?? {},\n 1064→ 'custom',\n 1065→ result.getModel\n 1066→ );\n 1067→ }\n 1068→ }\n 1069→\n 1070→ // load config\n 1071→ for (const [providerID, provider] of configProviders) {\n 1072→ mergeProvider(providerID, provider.options ?? {}, 'config');\n 1073→ }\n 1074→\n 1075→ for (const [providerID, provider] of Object.entries(providers)) {\n 1076→ const filteredModels = Object.fromEntries(\n 1077→ Object.entries(provider.info.models)\n 1078→ // Filter out blacklisted models\n 1079→ .filter(\n 1080→ ([modelID]) =>\n 1081→ modelID !== 'gpt-5-chat-latest' &&\n 1082→ !(providerID === 'openrouter' && modelID === 'openai/gpt-5-chat')\n 1083→ )\n 1084→ // Filter out experimental models\n 1085→ .filter(\n 1086→ ([, model]) =>\n 1087→ ((!model.experimental && model.status !== 'alpha') ||\n 1088→ Flag.OPENCODE_ENABLE_EXPERIMENTAL_MODELS) &&\n 1089→ model.status !== 'deprecated'\n 1090→ )\n 1091→ );\n 1092→ provider.info.models = filteredModels;\n 1093→\n 1094→ if (Object.keys(provider.info.models).length === 0) {\n 1095→ delete providers[providerID];\n 1096→ continue;\n 1097→ }\n 1098→ log.info(() => ({ message: 'found', providerID }));\n 1099→ }\n 1100→\n 1101→ return {\n 1102→ models,\n 1103→ providers,\n 1104→ sdk,\n 1105→ realIdByKey,\n 1106→ };\n 1107→ });\n 1108→\n 1109→ export async function list() {\n 1110→ return state().then((state) => state.providers);\n 1111→ }\n 1112→\n 1113→ async function getSDK(provider: ModelsDev.Provider, model: ModelsDev.Model) {\n 1114→ return (async () => {\n 1115→ using _ = log.time('getSDK', {\n 1116→ providerID: provider.id,\n 1117→ });\n 1118→ const s = await state();\n 1119→ const pkg = model.provider?.npm ?? provider.npm ?? provider.id;\n 1120→ const options = { ...s.providers[provider.id]?.options };\n 1121→ if (\n 1122→ pkg.includes('@ai-sdk/openai-compatible') &&\n 1123→ options['includeUsage'] === undefined\n 1124→ ) {\n 1125→ options['includeUsage'] = true;\n 1126→ }\n 1127→ const key = Bun.hash.xxHash32(JSON.stringify({ pkg, options }));\n 1128→ const existing = s.sdk.get(key);\n 1129→ if (existing) return existing;\n 1130→\n 1131→ let installedPath: string;\n 1132→ if (!pkg.startsWith('file://')) {\n 1133→ log.info(() => ({\n 1134→ message: 'installing provider package',\n 1135→ providerID: provider.id,\n 1136→ pkg,\n 1137→ version: 'latest',\n 1138→ }));\n 1139→ installedPath = await BunProc.install(pkg, 'latest');\n 1140→ log.info(() => ({\n 1141→ message: 'provider package installed successfully',\n 1142→ providerID: provider.id,\n 1143→ pkg,\n 1144→ installedPath,\n 1145→ }));\n 1146→ } else {\n 1147→ log.info(() => ({ message: 'loading local provider', pkg }));\n 1148→ installedPath = pkg;\n 1149→ }\n 1150→\n 1151→ // The `google-vertex-anthropic` provider points to the `@ai-sdk/google-vertex` package.\n 1152→ // Ref: https://github.com/sst/models.dev/blob/0a87de42ab177bebad0620a889e2eb2b4a5dd4ab/providers/google-vertex-anthropic/provider.toml\n 1153→ // However, the actual export is at the subpath `@ai-sdk/google-vertex/anthropic`.\n 1154→ // Ref: https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex#google-vertex-anthropic-provider-usage\n 1155→ // In addition, Bun's dynamic import logic does not support subpath imports,\n 1156→ // so we patch the import path to load directly from `dist`.\n 1157→ const modPath =\n 1158→ provider.id === 'google-vertex-anthropic'\n 1159→ ? `${installedPath}/dist/anthropic/index.mjs`\n 1160→ : installedPath;\n 1161→ const mod = await import(modPath);\n 1162→ if (options['timeout'] !== undefined && options['timeout'] !== null) {\n 1163→ // Preserve custom fetch if it exists, wrap it with timeout logic\n 1164→ const customFetch = options['fetch'];\n 1165→ options['fetch'] = async (input: any, init?: BunFetchRequestInit) => {\n 1166→ const { signal, ...rest } = init ?? {};\n 1167→\n 1168→ const signals: AbortSignal[] = [];\n 1169→ if (signal) signals.push(signal);\n 1170→ if (options['timeout'] !== false)\n 1171→ signals.push(AbortSignal.timeout(options['timeout']));\n 1172→\n 1173→ const combined =\n 1174→ signals.length > 1 ? AbortSignal.any(signals) : signals[0];\n 1175→\n 1176→ const fetchFn = customFetch ?? fetch;\n 1177→ return fetchFn(input, {\n 1178→ ...rest,\n 1179→ signal: combined,\n 1180→ // @ts-ignore see here: https://github.com/oven-sh/bun/issues/16682\n 1181→ timeout: false,\n 1182→ });\n 1183→ };\n 1184→ }\n 1185→\n 1186→ // Wrap fetch with retry logic for rate limit handling (HTTP 429)\n 1187→ // This ensures the agent's time-based retry (7-week timeout) is respected\n 1188→ // instead of the AI SDK's fixed retry count (3 attempts)\n 1189→ // See: https://github.com/link-assistant/agent/issues/167\n 1190→ const existingFetch = options['fetch'] ?? fetch;\n 1191→ options['fetch'] = RetryFetch.wrap(existingFetch, {\n 1192→ sessionID: provider.id,\n 1193→ });\n 1194→\n 1195→ const fn = mod[Object.keys(mod).find((key) => key.startsWith('create'))!];\n 1196→ const loaded = fn({\n 1197→ name: provider.id,\n 1198→ ...options,\n 1199→ });\n 1200→ s.sdk.set(key, loaded);\n 1201→ return loaded as SDK;\n 1202→ })().catch((e) => {\n 1203→ log.error(() => ({\n 1204→ message: 'provider initialization failed',\n 1205→ providerID: provider.id,\n 1206→ pkg: model.provider?.npm ?? provider.npm ?? provider.id,\n 1207→ error: e instanceof Error ? e.message : String(e),\n 1208→ stack: e instanceof Error ? e.stack : undefined,\n 1209→ cause: e instanceof Error && e.cause ? String(e.cause) : undefined,\n 1210→ }));\n 1211→ throw new InitError({ providerID: provider.id }, { cause: e });\n 1212→ });\n 1213→ }\n 1214→\n 1215→ export async function getProvider(providerID: string) {\n 1216→ return state().then((s) => s.providers[providerID]);\n 1217→ }\n 1218→\n 1219→ export async function getModel(providerID: string, modelID: string) {\n 1220→ const key = `${providerID}/${modelID}`;\n 1221→ const s = await state();\n 1222→ if (s.models.has(key)) return s.models.get(key)!;\n 1223→\n 1224→ log.info(() => ({ message: 'getModel', providerID, modelID }));\n 1225→\n 1226→ const provider = s.providers[providerID];\n 1227→ if (!provider) {\n 1228→ // Check if this model ID might exist in another provider (e.g., OpenRouter)\n 1229→ // This helps users who use formats like \"z-ai/glm-4.7\" instead of \"openrouter/z-ai/glm-4.7\"\n 1230→ const fullModelKey = `${providerID}/${modelID}`;\n 1231→ let suggestion: string | undefined;\n 1232→\n 1233→ for (const [knownProviderID, knownProvider] of Object.entries(\n 1234→ s.providers\n 1235→ )) {\n 1236→ if (knownProvider.info.models[fullModelKey]) {\n 1237→ suggestion = `Did you mean: ${knownProviderID}/${fullModelKey}?`;\n 1238→ break;\n 1239→ }\n 1240→ }\n 1241→\n 1242→ throw new ModelNotFoundError({ providerID, modelID, suggestion });\n 1243→ }\n 1244→\n 1245→ // For synthetic providers (like link-assistant/echo and link-assistant/cache), skip SDK loading\n 1246→ // These providers have a custom getModel function that creates the model directly\n 1247→ const isSyntheticProvider =\n 1248→ providerID === 'link-assistant' || providerID === 'link-assistant/cache';\n 1249→\n 1250→ // For synthetic providers, we don't need model info from the database\n 1251→ const info = isSyntheticProvider ? null : provider.info.models[modelID];\n 1252→ if (!isSyntheticProvider && !info)\n 1253→ throw new ModelNotFoundError({ providerID, modelID });\n 1254→\n 1255→ try {\n 1256→ const keyReal = `${providerID}/${modelID}`;\n 1257→ const realID = s.realIdByKey.get(keyReal) ?? (info ? info.id : modelID);\n 1258→\n 1259→ let language: LanguageModel;\n 1260→ if (isSyntheticProvider && provider.getModel) {\n 1261→ // For synthetic providers, call getModel directly without SDK\n 1262→ language = await provider.getModel(null, realID, provider.options);\n 1263→ } else {\n 1264→ // For regular providers, load the SDK first\n 1265→ const sdk = await getSDK(provider.info, info!);\n 1266→ language = provider.getModel\n 1267→ ? await provider.getModel(sdk, realID, provider.options)\n 1268→ : sdk.languageModel(realID);\n 1269→ }\n 1270→ log.info(() => ({ message: 'found', providerID, modelID }));\n 1271→ s.models.set(key, {\n 1272→ providerID,\n 1273→ modelID,\n 1274→ info,\n 1275→ language,\n 1276→ npm: isSyntheticProvider\n 1277→ ? provider.info.npm\n 1278→ : (info.provider?.npm ?? provider.info.npm),\n 1279→ });\n 1280→ return {\n 1281→ modelID,\n 1282→ providerID,\n 1283→ info,\n 1284→ language,\n 1285→ npm: info.provider?.npm ?? provider.info.npm,\n 1286→ };\n 1287→ } catch (e) {\n 1288→ if (e instanceof NoSuchModelError)\n 1289→ throw new ModelNotFoundError(\n 1290→ {\n 1291→ modelID: modelID,\n 1292→ providerID,\n 1293→ },\n 1294→ { cause: e }\n 1295→ );\n 1296→ throw e;\n 1297→ }\n 1298→ }\n 1299→\n 1300→ export async function getSmallModel(providerID: string) {\n 1301→ const cfg = await Config.get();\n 1302→\n 1303→ if (cfg.small_model) {\n 1304→ const parsed = parseModel(cfg.small_model);\n 1305→ return getModel(parsed.providerID, parsed.modelID);\n 1306→ }\n 1307→\n 1308→ const provider = await state().then((state) => state.providers[providerID]);\n 1309→ if (!provider) return;\n 1310→ let priority = [\n 1311→ 'claude-haiku-4-5',\n 1312→ 'claude-haiku-4.5',\n 1313→ '3-5-haiku',\n 1314→ '3.5-haiku',\n 1315→ 'gemini-2.5-flash',\n 1316→ 'gpt-5-nano',\n 1317→ ];\n 1318→ // claude-haiku-4.5 is considered a premium model in github copilot, we shouldn't use premium requests for title gen\n 1319→ if (providerID === 'github-copilot') {\n 1320→ priority = priority.filter((m) => m !== 'claude-haiku-4.5');\n 1321→ }\n 1322→ if (providerID === 'opencode' || providerID === 'local') {\n 1323→ priority = [\n 1324→ 'kimi-k2.5-free',\n 1325→ 'minimax-m2.1-free',\n 1326→ 'gpt-5-nano',\n 1327→ 'glm-4.7-free',\n 1328→ 'big-pickle',\n 1329→ ];\n 1330→ }\n 1331→ if (providerID === 'kilo') {\n 1332→ priority = [\n 1333→ 'glm-5-free',\n 1334→ 'glm-4.5-air-free',\n 1335→ 'minimax-m2.5-free',\n 1336→ 'deepseek-r1-free',\n 1337→ 'giga-potato-free',\n 1338→ ];\n 1339→ }\n 1340→ for (const item of priority) {\n 1341→ for (const model of Object.keys(provider.info.models)) {\n 1342→ if (model.includes(item)) return getModel(providerID, model);\n 1343→ }\n 1344→ }\n 1345→ }\n 1346→\n 1347→ const priority = [\n 1348→ 'glm-5-free',\n 1349→ 'kimi-k2.5-free',\n 1350→ 'minimax-m2.1-free',\n 1351→ 'gpt-5-nano',\n 1352→ 'glm-4.7-free',\n 1353→ 'big-pickle',\n 1354→ 'gpt-5',\n 1355→ 'claude-sonnet-4',\n 1356→ 'gemini-3-pro',\n 1357→ ];\n 1358→ export function sort(models: ModelsDev.Model[]) {\n 1359→ return sortBy(\n 1360→ models,\n 1361→ [\n 1362→ (model) => priority.findIndex((filter) => model.id.includes(filter)),\n 1363→ 'desc',\n 1364→ ],\n 1365→ [(model) => (model.id.includes('latest') ? 0 : 1), 'asc'],\n 1366→ [(model) => model.id, 'desc']\n 1367→ );\n 1368→ }\n 1369→\n 1370→ export async function defaultModel() {\n 1371→ const cfg = await Config.get();\n 1372→\n 1373→ // In dry-run mode, use the echo provider by default\n 1374→ // This allows testing round-trips and multi-turn conversations without API costs\n 1375→ // @see https://github.com/link-assistant/agent/issues/89\n 1376→ if (Flag.OPENCODE_DRY_RUN) {\n 1377→ log.info('dry-run mode enabled, using echo provider as default');\n 1378→ return {\n 1379→ providerID: 'link-assistant',\n 1380→ modelID: 'echo',\n 1381→ };\n 1382→ }\n 1383→\n 1384→ if (cfg.model) return parseModel(cfg.model);\n 1385→\n 1386→ // Prefer opencode provider if available\n 1387→ const providers = await list().then((val) => Object.values(val));\n 1388→ const opencodeProvider = providers.find((p) => p.info.id === 'opencode');\n 1389→ if (opencodeProvider) {\n 1390→ const [model] = sort(Object.values(opencodeProvider.info.models));\n 1391→ if (model) {\n 1392→ log.info(() => ({\n 1393→ message: 'using opencode provider as default',\n 1394→ provider: opencodeProvider.info.id,\n 1395→ model: model.id,\n 1396→ }));\n 1397→ return {\n 1398→ providerID: opencodeProvider.info.id,\n 1399→ modelID: model.id,\n 1400→ };\n 1401→ }\n 1402→ }\n 1403→\n 1404→ // Fall back to any available provider if opencode is not available\n 1405→ const provider = providers.find(\n 1406→ (p) => !cfg.provider || Object.keys(cfg.provider).includes(p.info.id)\n 1407→ );\n 1408→ if (!provider) throw new Error('no providers found');\n 1409→ const [model] = sort(Object.values(provider.info.models));\n 1410→ if (!model) throw new Error('no models found');\n 1411→ return {\n 1412→ providerID: provider.info.id,\n 1413→ modelID: model.id,\n 1414→ };\n 1415→ }\n 1416→\n 1417→ export function parseModel(model: string) {\n 1418→ const [providerID, ...rest] = model.split('/');\n 1419→ return {\n 1420→ providerID: providerID,\n 1421→ modelID: rest.join('/'),\n 1422→ };\n 1423→ }\n 1424→\n 1425→ /**\n 1426→ * Resolve a short model name (without provider prefix) to the appropriate provider.\n 1427→ * This function finds which provider should handle a model when no explicit provider is specified.\n 1428→ *\n 1429→ * Priority for free models:\n 1430→ * 1. If model is uniquely available in one provider, use that provider\n 1431→ * 2. If model is available in multiple providers, prioritize based on free model availability:\n 1432→ * - kilo: glm-5-free, glm-4.5-air-free, minimax-m2.5-free, giga-potato-free, deepseek-r1-free (unique to Kilo)\n 1433→ * - opencode: big-pickle, gpt-5-nano (unique to OpenCode)\n 1434→ * 3. For shared models, prefer OpenCode first, then fall back to Kilo on rate limit\n 1435→ *\n 1436→ * @param modelID - Short model name without provider prefix\n 1437→ * @returns Provider ID that should handle this model, or undefined if not found\n 1438→ */\n 1439→ export async function resolveShortModelName(\n 1440→ modelID: string\n 1441→ ): Promise<{ providerID: string; modelID: string } | undefined> {\n 1442→ const s = await state();\n 1443→\n 1444→ // Define model-to-provider mappings for free models\n 1445→ // Models unique to Kilo (GLM models from Z.AI are only free on Kilo)\n 1446→ const kiloUniqueModels = [\n 1447→ 'glm-5-free',\n 1448→ 'glm-4.5-air-free',\n 1449→ 'minimax-m2.5-free',\n 1450→ 'giga-potato-free',\n 1451→ 'trinity-large-preview',\n 1452→ 'deepseek-r1-free',\n 1453→ ];\n 1454→\n 1455→ // Check if it's a Kilo-unique model\n 1456→ if (kiloUniqueModels.includes(modelID)) {\n 1457→ const kiloProvider = s.providers['kilo'];\n 1458→ if (kiloProvider && kiloProvider.info.models[modelID]) {\n 1459→ log.info(() => ({\n 1460→ message: 'resolved short model name to kilo (unique)',\n 1461→ modelID,\n 1462→ }));\n 1463→ return { providerID: 'kilo', modelID };\n 1464→ }\n 1465→ }\n 1466→\n 1467→ // Check if model exists in any provider\n 1468→ const matchingProviders: string[] = [];\n 1469→ for (const [providerID, provider] of Object.entries(s.providers)) {\n 1470→ if (provider.info.models[modelID]) {\n 1471→ matchingProviders.push(providerID);\n 1472→ }\n 1473→ }\n 1474→\n 1475→ if (matchingProviders.length === 0) {\n 1476→ return undefined;\n 1477→ }\n 1478→\n 1479→ if (matchingProviders.length === 1) {\n 1480→ const providerID = matchingProviders[0];\n 1481→ log.info(() => ({\n 1482→ message: 'resolved short model name (single match)',\n 1483→ modelID,\n 1484→ providerID,\n 1485→ }));\n 1486→ return { providerID, modelID };\n 1487→ }\n 1488→\n 1489→ // Multiple providers have this model - prefer OpenCode for shared free models\n 1490→ // This follows the convention that opencode is the primary free provider\n 1491→ if (matchingProviders.includes('opencode')) {\n 1492→ log.info(() => ({\n 1493→ message: 'resolved short model name to opencode (multiple providers)',\n 1494→ modelID,\n 1495→ availableProviders: matchingProviders,\n 1496→ }));\n 1497→ return { providerID: 'opencode', modelID };\n 1498→ }\n 1499→\n 1500→ // Fallback to first matching provider\n 1501→ const providerID = matchingProviders[0];\n 1502→ log.info(() => ({\n 1503→ message: 'resolved short model name (fallback)',\n 1504→ modelID,\n 1505→ providerID,\n 1506→ availableProviders: matchingProviders,\n 1507→ }));\n 1508→ return { providerID, modelID };\n 1509→ }\n 1510→\n 1511→ /**\n 1512→ * Parse a model string that may or may not include a provider prefix.\n 1513→ * If no provider is specified, attempts to resolve the short model name to the appropriate provider.\n 1514→ *\n 1515→ * Examples:\n 1516→ * - \"kilo/glm-5-free\" -> { providerID: \"kilo\", modelID: \"glm-5-free\" }\n 1517→ * - \"glm-5-free\" -> { providerID: \"kilo\", modelID: \"glm-5-free\" } (resolved)\n 1518→ * - \"kimi-k2.5-free\" -> { providerID: \"opencode\", modelID: \"kimi-k2.5-free\" } (resolved)\n 1519→ *\n 1520→ * @param model - Model string with or without provider prefix\n 1521→ * @returns Parsed provider ID and model ID\n 1522→ */\n 1523→ export async function parseModelWithResolution(\n 1524→ model: string\n 1525→ ): Promise<{ providerID: string; modelID: string }> {\n 1526→ // Check if model includes a provider prefix\n 1527→ if (model.includes('/')) {\n 1528→ // Explicit provider specified - use it directly\n 1529→ return parseModel(model);\n 1530→ }\n 1531→\n 1532→ // No provider prefix - try to resolve the short model name\n 1533→ const resolved = await resolveShortModelName(model);\n 1534→ if (resolved) {\n 1535→ return resolved;\n 1536→ }\n 1537→\n 1538→ // Unable to resolve - fall back to default behavior (opencode provider)\n 1539→ log.warn(() => ({\n 1540→ message: 'unable to resolve short model name, using opencode as default',\n 1541→ modelID: model,\n 1542→ }));\n 1543→ return {\n 1544→ providerID: 'opencode',\n 1545→ modelID: model,\n 1546→ };\n 1547→ }\n 1548→\n 1549→ /**\n 1550→ * Defines models that are available in multiple free providers.\n 1551→ * When one provider hits rate limits, the system can try an alternative.\n 1552→ *\n 1553→ * Note: This is only used for models without explicit provider specification.\n 1554→ * If user specifies \"kilo/kimi-k2.5-free\", no fallback will occur.\n 1555→ */\n 1556→ const SHARED_FREE_MODELS: Record<string, string[]> = {\n 1557→ // Currently no shared models between OpenCode and Kilo providers.\n 1558→ // Kilo models use different IDs than OpenCode models.\n 1559→ };\n 1560→\n 1561→ /**\n 1562→ * Get alternative providers for a model when the primary provider fails (e.g., rate limited).\n 1563→ * This function returns a list of alternative providers that offer the same model.\n 1564→ *\n 1565→ * Note: This only returns alternatives for models without explicit provider specification.\n 1566→ * If the original request had an explicit provider (like \"kilo/kimi-k2.5-free\"), this returns empty array.\n 1567→ *\n 1568→ * @param modelID - The model ID to find alternatives for\n 1569→ * @param failedProviderID - The provider that failed\n 1570→ * @param wasExplicitProvider - Whether the user explicitly specified the provider\n 1571→ * @returns Array of alternative provider IDs that can serve this model\n 1572→ */\n 1573→ export async function getAlternativeProviders(\n 1574→ modelID: string,\n 1575→ failedProviderID: string,\n 1576→ wasExplicitProvider: boolean\n 1577→ ): Promise<string[]> {\n 1578→ // If the user explicitly specified a provider, don't offer alternatives\n 1579→ if (wasExplicitProvider) {\n 1580→ log.info(() => ({\n 1581→ message: 'no alternative providers (explicit provider specified)',\n 1582→ modelID,\n 1583→ failedProviderID,\n 1584→ }));\n 1585→ return [];\n 1586→ }\n 1587→\n 1588→ // Check if this is a shared model\n 1589→ const sharedProviders = SHARED_FREE_MODELS[modelID];\n 1590→ if (!sharedProviders) {\n 1591→ // Not a shared model, no alternatives\n 1592→ return [];\n 1593→ }\n 1594→\n 1595→ // Get alternative providers (excluding the failed one)\n 1596→ const s = await state();\n 1597→ const alternatives = sharedProviders.filter(\n 1598→ (p) => p !== failedProviderID && s.providers[p]\n 1599→ );\n 1600→\n 1601→ if (alternatives.length > 0) {\n 1602→ log.info(() => ({\n 1603→ message: 'found alternative providers for rate-limited model',\n 1604→ modelID,\n 1605→ failedProviderID,\n 1606→ alternatives,\n 1607→ }));\n 1608→ }\n 1609→\n 1610→ return alternatives;\n 1611→ }\n 1612→\n 1613→ /**\n 1614→ * Checks if an error indicates a rate limit issue.\n 1615→ * @param error - The error to check\n 1616→ * @returns true if the error indicates a rate limit\n 1617→ */\n 1618→ export function isRateLimitError(error: unknown): boolean {\n 1619→ if (!(error instanceof Error)) return false;\n 1620→\n 1621→ const message = error.message.toLowerCase();\n 1622→ const name = error.name.toLowerCase();\n 1623→\n 1624→ return (\n 1625→ message.includes('rate limit') ||\n 1626→ message.includes('ratelimit') ||\n 1627→ message.includes('too many requests') ||\n 1628→ message.includes('429') ||\n 1629→ name.includes('ratelimit')\n 1630→ );\n 1631→ }\n 1632→\n 1633→ export const ModelNotFoundError = NamedError.create(\n 1634→ 'ProviderModelNotFoundError',\n 1635→ z.object({\n 1636→ providerID: z.string(),\n 1637→ modelID: z.string(),\n 1638→ suggestion: z.string().optional(),\n 1639→ })\n 1640→ );\n 1641→\n 1642→ export const InitError = NamedError.create(\n 1643→ 'ProviderInitError',\n 1644→ z.object({\n 1645→ providerID: z.string(),\n 1646→ })\n 1647→ );\n 1648→}\n 1649→\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": "4f4bbee1-f387-4522-b4b9-b12a458c9f13", | |
| "uuid": "24788146-c194-4489-8e40-5a6f34b18a30", | |
| "tool_use_result": { | |
| "type": "text", | |
| "file": { | |
| "filePath": "/tmp/gh-issue-solver-1771145558194/js/src/provider/provider.ts", | |
| "content": "import z from 'zod';\nimport path from 'path';\nimport { Config } from '../config/config';\nimport { mergeDeep, sortBy } from 'remeda';\nimport { NoSuchModelError, type LanguageModel, type Provider as SDK } from 'ai';\nimport { Log } from '../util/log';\nimport { BunProc } from '../bun';\nimport { ModelsDev } from './models';\nimport { NamedError } from '../util/error';\nimport { Auth } from '../auth';\nimport { ClaudeOAuth } from '../auth/claude-oauth';\nimport { AuthPlugins } from '../auth/plugins';\nimport { Instance } from '../project/instance';\nimport { Global } from '../global';\nimport { Flag } from '../flag/flag';\nimport { iife } from '../util/iife';\nimport { createEchoModel } from './echo';\nimport { createCacheModel } from './cache';\nimport { RetryFetch } from './retry-fetch';\n\nexport namespace Provider {\n const log = Log.create({ service: 'provider' });\n\n type CustomLoader = (provider: ModelsDev.Provider) => Promise<{\n autoload: boolean;\n getModel?: (\n sdk: any,\n modelID: string,\n options?: Record<string, any>\n ) => Promise<any>;\n options?: Record<string, any>;\n }>;\n\n type Source = 'env' | 'config' | 'custom' | 'api';\n\n const CUSTOM_LOADERS: Record<string, CustomLoader> = {\n async anthropic(input) {\n // Check if OAuth credentials are available via the auth plugin\n const auth = await Auth.get('anthropic');\n if (auth?.type === 'oauth') {\n log.info(() => ({ message: 'using anthropic oauth credentials' }));\n const loaderFn = await AuthPlugins.getLoader('anthropic');\n if (loaderFn) {\n const result = await loaderFn(() => Auth.get('anthropic'), input);\n if (result.fetch) {\n return {\n autoload: true,\n options: {\n apiKey: result.apiKey || '',\n fetch: result.fetch,\n headers: {\n 'anthropic-beta':\n 'oauth-2025-04-20,claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n },\n },\n };\n }\n }\n }\n // Default: API key auth\n return {\n autoload: false,\n options: {\n headers: {\n 'anthropic-beta':\n 'claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n },\n },\n };\n },\n async opencode(input) {\n const hasKey = await (async () => {\n if (input.env.some((item) => process.env[item])) return true;\n if (await Auth.get(input.id)) return true;\n return false;\n })();\n\n if (!hasKey) {\n for (const [key, value] of Object.entries(input.models)) {\n if (value.cost.input === 0) continue;\n delete input.models[key];\n }\n }\n\n return {\n autoload: Object.keys(input.models).length > 0,\n options: hasKey ? {} : { apiKey: 'public' },\n };\n },\n openai: async () => {\n return {\n autoload: false,\n async getModel(\n sdk: any,\n modelID: string,\n _options?: Record<string, any>\n ) {\n return sdk.responses(modelID);\n },\n options: {},\n };\n },\n azure: async () => {\n return {\n autoload: false,\n async getModel(\n sdk: any,\n modelID: string,\n options?: Record<string, any>\n ) {\n if (options?.['useCompletionUrls']) {\n return sdk.chat(modelID);\n } else {\n return sdk.responses(modelID);\n }\n },\n options: {},\n };\n },\n 'azure-cognitive-services': async () => {\n const resourceName =\n process.env['AZURE_COGNITIVE_SERVICES_RESOURCE_NAME'];\n return {\n autoload: false,\n async getModel(\n sdk: any,\n modelID: string,\n options?: Record<string, any>\n ) {\n if (options?.['useCompletionUrls']) {\n return sdk.chat(modelID);\n } else {\n return sdk.responses(modelID);\n }\n },\n options: {\n baseURL: resourceName\n ? `https://${resourceName}.cognitiveservices.azure.com/openai`\n : undefined,\n },\n };\n },\n 'amazon-bedrock': async () => {\n if (\n !process.env['AWS_PROFILE'] &&\n !process.env['AWS_ACCESS_KEY_ID'] &&\n !process.env['AWS_BEARER_TOKEN_BEDROCK']\n )\n return { autoload: false };\n\n const region = process.env['AWS_REGION'] ?? 'us-east-1';\n\n const { fromNodeProviderChain } = await import(\n await BunProc.install('@aws-sdk/credential-providers')\n );\n return {\n autoload: true,\n options: {\n region,\n credentialProvider: fromNodeProviderChain(),\n },\n async getModel(\n sdk: any,\n modelID: string,\n _options?: Record<string, any>\n ) {\n let regionPrefix = region.split('-')[0];\n\n switch (regionPrefix) {\n case 'us': {\n const modelRequiresPrefix = [\n 'nova-micro',\n 'nova-lite',\n 'nova-pro',\n 'nova-premier',\n 'claude',\n 'deepseek',\n ].some((m) => modelID.includes(m));\n const isGovCloud = region.startsWith('us-gov');\n if (modelRequiresPrefix && !isGovCloud) {\n modelID = `${regionPrefix}.${modelID}`;\n }\n break;\n }\n case 'eu': {\n const regionRequiresPrefix = [\n 'eu-west-1',\n 'eu-west-2',\n 'eu-west-3',\n 'eu-north-1',\n 'eu-central-1',\n 'eu-south-1',\n 'eu-south-2',\n ].some((r) => region.includes(r));\n const modelRequiresPrefix = [\n 'claude',\n 'nova-lite',\n 'nova-micro',\n 'llama3',\n 'pixtral',\n ].some((m) => modelID.includes(m));\n if (regionRequiresPrefix && modelRequiresPrefix) {\n modelID = `${regionPrefix}.${modelID}`;\n }\n break;\n }\n case 'ap': {\n const isAustraliaRegion = [\n 'ap-southeast-2',\n 'ap-southeast-4',\n ].includes(region);\n if (\n isAustraliaRegion &&\n ['anthropic.claude-sonnet-4-5', 'anthropic.claude-haiku'].some(\n (m) => modelID.includes(m)\n )\n ) {\n regionPrefix = 'au';\n modelID = `${regionPrefix}.${modelID}`;\n } else {\n const modelRequiresPrefix = [\n 'claude',\n 'nova-lite',\n 'nova-micro',\n 'nova-pro',\n ].some((m) => modelID.includes(m));\n if (modelRequiresPrefix) {\n regionPrefix = 'apac';\n modelID = `${regionPrefix}.${modelID}`;\n }\n }\n break;\n }\n }\n\n return sdk.languageModel(modelID);\n },\n };\n },\n openrouter: async () => {\n return {\n autoload: false,\n options: {\n headers: {\n 'HTTP-Referer': 'https://opencode.ai/',\n 'X-Title': 'opencode',\n },\n },\n };\n },\n vercel: async () => {\n return {\n autoload: false,\n options: {\n headers: {\n 'http-referer': 'https://opencode.ai/',\n 'x-title': 'opencode',\n },\n },\n };\n },\n 'google-vertex': async () => {\n const project =\n process.env['GOOGLE_CLOUD_PROJECT'] ??\n process.env['GCP_PROJECT'] ??\n process.env['GCLOUD_PROJECT'];\n const location =\n process.env['GOOGLE_CLOUD_LOCATION'] ??\n process.env['VERTEX_LOCATION'] ??\n 'us-east5';\n const autoload = Boolean(project);\n if (!autoload) return { autoload: false };\n return {\n autoload: true,\n options: {\n project,\n location,\n },\n async getModel(sdk: any, modelID: string) {\n const id = String(modelID).trim();\n return sdk.languageModel(id);\n },\n };\n },\n 'google-vertex-anthropic': async () => {\n const project =\n process.env['GOOGLE_CLOUD_PROJECT'] ??\n process.env['GCP_PROJECT'] ??\n process.env['GCLOUD_PROJECT'];\n const location =\n process.env['GOOGLE_CLOUD_LOCATION'] ??\n process.env['VERTEX_LOCATION'] ??\n 'global';\n const autoload = Boolean(project);\n if (!autoload) return { autoload: false };\n return {\n autoload: true,\n options: {\n project,\n location,\n },\n async getModel(sdk: any, modelID: string) {\n const id = String(modelID).trim();\n return sdk.languageModel(id);\n },\n };\n },\n zenmux: async () => {\n return {\n autoload: false,\n options: {\n headers: {\n 'HTTP-Referer': 'https://opencode.ai/',\n 'X-Title': 'opencode',\n },\n },\n };\n },\n groq: async () => {\n return {\n autoload: false,\n options: {},\n };\n },\n /**\n * Kilo provider - access to 500+ AI models through Kilo Gateway\n * Uses OpenRouter-compatible API at https://api.kilo.ai/api/openrouter\n *\n * Authentication required: run `agent auth login` and select \"Kilo Gateway\"\n * For API key authentication, set KILO_API_KEY environment variable\n *\n * Free models available after authentication:\n * - GLM-5 (z-ai/glm-5) - Free limited time, flagship Z.AI model\n * - GLM 4.7 (z-ai/glm-4.7:free) - Free, agent-centric model\n * - Kimi K2.5 (moonshot/kimi-k2.5:free) - Free, agentic capabilities\n * - MiniMax M2.1 (minimax/m2.1:free) - Free, general-purpose\n * - Giga Potato (giga-potato:free) - Free evaluation model\n *\n * @see https://kilo.ai/docs/gateway\n * @see https://kilo.ai/docs/advanced-usage/free-and-budget-models\n * @see https://github.com/Kilo-Org/kilo/tree/main/packages/kilo-gateway\n */\n kilo: async (input) => {\n const hasKey = await (async () => {\n if (input.env.some((item) => process.env[item])) return true;\n if (await Auth.get(input.id)) return true;\n return false;\n })();\n\n // Filter to only free models when no API key\n if (!hasKey) {\n for (const [key, value] of Object.entries(input.models)) {\n // Keep only free models (cost.input === 0) when no API key\n if (value.cost.input === 0) continue;\n delete input.models[key];\n }\n }\n\n // Build options\n const options: Record<string, any> = {};\n\n // Kilo-specific headers for the OpenRouter-compatible API\n // @see https://github.com/Kilo-Org/kilo/blob/main/packages/kilo-gateway/src/headers.ts\n const headers: Record<string, string> = {\n 'User-Agent': 'opencode-kilo-provider',\n 'X-KILOCODE-EDITORNAME': 'link-assistant-agent',\n };\n\n // Pass KILO_ORG_ID if available\n if (process.env['KILO_ORG_ID']) {\n headers['X-KILOCODE-ORGANIZATIONID'] = process.env['KILO_ORG_ID'];\n }\n\n options.headers = headers;\n\n // Use auth token if available (from `agent auth login` -> Kilo device auth)\n if (!hasKey) {\n // Without authentication, use 'anonymous' key\n // Note: The Kilo API may reject anonymous requests for completions.\n // Users should authenticate via `agent auth login` for reliable access.\n options.apiKey = 'anonymous';\n } else {\n // If we have stored auth, the loader will provide the token\n const auth = await Auth.get(input.id);\n if (auth) {\n if (auth.type === 'api') {\n options.apiKey = auth.key;\n } else if (auth.type === 'oauth') {\n options.apiKey = auth.access;\n }\n }\n }\n\n return {\n autoload: Object.keys(input.models).length > 0,\n options,\n };\n },\n /**\n * Qwen Coder OAuth provider for Qwen subscription users\n * Uses OAuth credentials from agent auth login (Qwen Coder Subscription)\n *\n * To authenticate, run: agent auth login (select Qwen Coder)\n */\n 'qwen-coder': async (input) => {\n const auth = await Auth.get('qwen-coder');\n if (auth?.type === 'oauth') {\n log.info(() => ({\n message: 'using qwen-coder oauth credentials',\n }));\n const loaderFn = await AuthPlugins.getLoader('qwen-coder');\n if (loaderFn) {\n const result = await loaderFn(() => Auth.get('qwen-coder'), input);\n if (result.fetch) {\n return {\n autoload: true,\n options: {\n apiKey: result.apiKey || '',\n baseURL: result.baseURL,\n fetch: result.fetch,\n },\n };\n }\n }\n }\n // Default: not auto-loaded without OAuth\n return { autoload: false };\n },\n /**\n * Alibaba OAuth provider (alias for Qwen Coder)\n * Uses OAuth credentials from agent auth login (Alibaba / Qwen Coder Subscription)\n *\n * To authenticate, run: agent auth login (select Alibaba)\n */\n alibaba: async (input) => {\n const auth = await Auth.get('alibaba');\n if (auth?.type === 'oauth') {\n log.info(() => ({\n message: 'using alibaba oauth credentials',\n }));\n const loaderFn = await AuthPlugins.getLoader('alibaba');\n if (loaderFn) {\n const result = await loaderFn(() => Auth.get('alibaba'), input);\n if (result.fetch) {\n return {\n autoload: true,\n options: {\n apiKey: result.apiKey || '',\n baseURL: result.baseURL,\n fetch: result.fetch,\n },\n };\n }\n }\n }\n // Default: not auto-loaded without OAuth\n return { autoload: false };\n },\n /**\n * Google OAuth provider for Gemini subscription users\n * Uses OAuth credentials from agent auth login (Google AI Pro/Ultra)\n *\n * To authenticate, run: agent auth google\n */\n google: async (input) => {\n const auth = await Auth.get('google');\n if (auth?.type === 'oauth') {\n log.info(() => ({ message: 'using google oauth credentials' }));\n const loaderFn = await AuthPlugins.getLoader('google');\n if (loaderFn) {\n const result = await loaderFn(() => Auth.get('google'), input);\n if (result.fetch) {\n return {\n autoload: true,\n options: {\n apiKey: result.apiKey || '',\n fetch: result.fetch,\n },\n };\n }\n }\n }\n // Default: API key auth (no OAuth credentials found)\n return { autoload: false };\n },\n /**\n * GitHub Copilot OAuth provider\n * Uses OAuth credentials from agent auth login\n */\n 'github-copilot': async (input) => {\n const auth = await Auth.get('github-copilot');\n if (auth?.type === 'oauth') {\n log.info(() => ({\n message: 'using github copilot oauth credentials',\n }));\n const loaderFn = await AuthPlugins.getLoader('github-copilot');\n if (loaderFn) {\n const result = await loaderFn(\n () => Auth.get('github-copilot'),\n input\n );\n if (result.fetch) {\n return {\n autoload: true,\n options: {\n apiKey: result.apiKey || '',\n baseURL: result.baseURL,\n fetch: result.fetch,\n },\n };\n }\n }\n }\n return { autoload: false };\n },\n /**\n * GitHub Copilot Enterprise OAuth provider\n * Uses OAuth credentials from agent auth login with enterprise URL\n */\n 'github-copilot-enterprise': async (input) => {\n const auth = await Auth.get('github-copilot-enterprise');\n if (auth?.type === 'oauth') {\n log.info(() => ({\n message: 'using github copilot enterprise oauth credentials',\n }));\n const loaderFn = await AuthPlugins.getLoader('github-copilot');\n if (loaderFn) {\n const result = await loaderFn(\n () => Auth.get('github-copilot-enterprise'),\n input\n );\n if (result.fetch) {\n return {\n autoload: true,\n options: {\n apiKey: result.apiKey || '',\n baseURL: result.baseURL,\n fetch: result.fetch,\n },\n };\n }\n }\n }\n return { autoload: false };\n },\n /**\n * Claude OAuth provider - uses Claude OAuth credentials to access\n * Anthropic models via the Claude API.\n *\n * This provider supports two methods:\n * 1. Environment variable: CLAUDE_CODE_OAUTH_TOKEN\n * 2. Credentials file: ~/.claude/.credentials.json (from Claude Code CLI or our auth command)\n *\n * OAuth tokens use Bearer authentication (Authorization header)\n * instead of x-api-key authentication used by standard API keys.\n *\n * To authenticate, run: agent auth claude\n */\n 'claude-oauth': async (input) => {\n // Check for OAuth token from environment variable first\n let oauthToken = process.env['CLAUDE_CODE_OAUTH_TOKEN'];\n let tokenSource = 'environment';\n\n if (!oauthToken) {\n // Check for OAuth credentials from credentials file\n const claudeCreds = await ClaudeOAuth.getCredentials();\n if (claudeCreds) {\n oauthToken = claudeCreds.accessToken;\n tokenSource = `credentials file (${claudeCreds.subscriptionType ?? 'unknown'})`;\n }\n }\n\n if (!oauthToken) {\n return { autoload: false };\n }\n\n log.info(() => ({\n message: 'using claude oauth credentials',\n source: tokenSource,\n }));\n\n // Create authenticated fetch with Bearer token and OAuth beta header\n const customFetch = ClaudeOAuth.createAuthenticatedFetch(oauthToken);\n\n return {\n autoload: true,\n options: {\n // Use a placeholder key to satisfy the SDK's API key requirement\n // The actual authentication is done via Bearer token in customFetch\n apiKey: 'oauth-token-placeholder',\n fetch: customFetch,\n headers: {\n 'anthropic-beta':\n 'oauth-2025-04-20,claude-code-20250219,interleaved-thinking-2025-05-14,fine-grained-tool-streaming-2025-05-14',\n },\n },\n };\n },\n /**\n * Echo provider - synthetic provider for dry-run testing\n * Echoes back the user's input without making actual API calls.\n *\n * This provider is automatically enabled when --dry-run mode is active.\n * It can also be used explicitly with: --model link-assistant/echo\n *\n * @see https://github.com/link-assistant/agent/issues/89\n */\n 'link-assistant': async () => {\n // Echo provider is always available - no external dependencies needed\n return {\n autoload: Flag.OPENCODE_DRY_RUN, // Auto-load only in dry-run mode\n async getModel(_sdk: any, modelID: string) {\n // Return our custom echo model that implements LanguageModelV1\n return createEchoModel(modelID);\n },\n options: {},\n };\n },\n /**\n * Cache provider - synthetic provider for caching API responses\n * Caches responses using links notation for deterministic testing.\n *\n * This provider caches API responses and falls back to echo behavior.\n * It can be used explicitly with: --model link-assistant/cache/opencode/grok-code\n *\n * @see https://github.com/link-assistant/agent/issues/89\n */\n 'link-assistant/cache': async () => {\n // Cache provider is always available - no external dependencies needed\n return {\n autoload: false, // Not auto-loaded\n async getModel(_sdk: any, modelID: string) {\n // modelID should be in format \"provider/model\" like \"opencode/grok-code\"\n const parts = modelID.split('/');\n if (parts.length < 2) {\n throw new Error(\n `Invalid cache model ID: ${modelID}. Expected format: provider/model`\n );\n }\n const [providerId, ...modelParts] = parts;\n const actualModelId = modelParts.join('/');\n\n // Return our custom cache model that implements LanguageModelV1\n return createCacheModel(providerId, actualModelId);\n },\n options: {},\n };\n },\n };\n\n const state = Instance.state(async () => {\n using _ = log.time('state');\n const config = await Config.get();\n const database = await ModelsDev.get();\n\n const providers: {\n [providerID: string]: {\n source: Source;\n info: ModelsDev.Provider;\n getModel?: (\n sdk: any,\n modelID: string,\n options?: Record<string, any>\n ) => Promise<any>;\n options: Record<string, any>;\n };\n } = {};\n const models = new Map<\n string,\n {\n providerID: string;\n modelID: string;\n info: ModelsDev.Model;\n language: LanguageModel;\n npm?: string;\n }\n >();\n const sdk = new Map<number, SDK>();\n // Maps `${provider}/${key}` to the provider’s actual model ID for custom aliases.\n const realIdByKey = new Map<string, string>();\n\n log.info(() => ({ message: 'init' }));\n\n function mergeProvider(\n id: string,\n options: Record<string, any>,\n source: Source,\n getModel?: (\n sdk: any,\n modelID: string,\n options?: Record<string, any>\n ) => Promise<any>\n ) {\n const provider = providers[id];\n if (!provider) {\n const info = database[id];\n if (!info) return;\n if (info.api && !options['baseURL']) options['baseURL'] = info.api;\n providers[id] = {\n source,\n info,\n options,\n getModel,\n };\n return;\n }\n provider.options = mergeDeep(provider.options, options);\n provider.source = source;\n provider.getModel = getModel ?? provider.getModel;\n }\n\n const configProviders = Object.entries(config.provider ?? {});\n\n // Add GitHub Copilot Enterprise provider that inherits from GitHub Copilot\n if (database['github-copilot']) {\n const githubCopilot = database['github-copilot'];\n database['github-copilot-enterprise'] = {\n ...githubCopilot,\n id: 'github-copilot-enterprise',\n name: 'GitHub Copilot Enterprise',\n // Enterprise uses a different API endpoint - will be set dynamically based on auth\n api: undefined,\n };\n }\n\n // Add Claude OAuth provider that inherits from Anthropic\n // This allows using Claude Code CLI OAuth credentials with the Anthropic API\n if (database['anthropic']) {\n const anthropic = database['anthropic'];\n database['claude-oauth'] = {\n ...anthropic,\n id: 'claude-oauth',\n name: 'Claude OAuth',\n // Use CLAUDE_CODE_OAUTH_TOKEN environment variable\n env: ['CLAUDE_CODE_OAUTH_TOKEN'],\n };\n }\n\n // Add gemini-3-pro alias for google provider\n // The actual model in Google's API is gemini-3-pro-preview, but we add gemini-3-pro as an alias for convenience\n if (database['google']?.models['gemini-3-pro-preview']) {\n const gemini3ProPreview =\n database['google'].models['gemini-3-pro-preview'];\n database['google'].models['gemini-3-pro'] = {\n ...gemini3ProPreview,\n id: 'gemini-3-pro-preview',\n name: 'Gemini 3 Pro',\n };\n realIdByKey.set('google/gemini-3-pro', 'gemini-3-pro-preview');\n }\n\n // Add link-assistant echo provider for dry-run testing\n // This synthetic provider echoes back user input without API calls\n // @see https://github.com/link-assistant/agent/issues/89\n database['link-assistant'] = {\n id: 'link-assistant',\n name: 'Link Assistant (Echo)',\n env: [], // No environment variables needed - synthetic provider\n models: {\n echo: {\n id: 'echo',\n name: 'Echo Model',\n release_date: '2024-01-01',\n attachment: false,\n reasoning: false,\n temperature: false,\n tool_call: true,\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 1000000, // Virtually unlimited\n output: 100000,\n },\n modalities: {\n input: ['text'],\n output: ['text'],\n },\n options: {},\n },\n },\n };\n\n // Add link-assistant/cache provider for caching API responses\n // This synthetic provider caches responses and falls back to echo\n // @see https://github.com/link-assistant/agent/issues/89\n database['link-assistant/cache'] = {\n id: 'link-assistant/cache',\n name: 'Link Assistant (Cache)',\n env: [], // No environment variables needed - synthetic provider\n models: {}, // Models are dynamically created based on the provider/model syntax\n };\n\n // Add Kilo provider for access to 500+ AI models through Kilo Gateway\n // Free models available: GLM-5, GLM 4.7, Kimi K2.5, MiniMax M2.1, Giga Potato\n // @see https://kilo.ai/docs/gateway\n // @see https://github.com/link-assistant/agent/issues/159\n database['kilo'] = {\n id: 'kilo',\n name: 'Kilo Gateway',\n npm: '@openrouter/ai-sdk-provider',\n api: 'https://api.kilo.ai/api/openrouter',\n env: ['KILO_API_KEY'],\n models: {\n // GLM-5 - Flagship Z.AI model, free tier\n // Kilo API model ID: z-ai/glm-5:free (NOT z-ai/glm-5 which is paid)\n 'glm-5-free': {\n id: 'z-ai/glm-5:free',\n name: 'GLM-5 (Free)',\n release_date: '2026-02-11',\n attachment: false,\n reasoning: true,\n temperature: true,\n tool_call: true,\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 202800,\n output: 131072,\n },\n modalities: {\n input: ['text'],\n output: ['text'],\n },\n options: {},\n },\n // GLM 4.5 Air - Free Z.AI model (replaces non-existent glm-4.7:free)\n // Kilo API model ID: z-ai/glm-4.5-air:free\n 'glm-4.5-air-free': {\n id: 'z-ai/glm-4.5-air:free',\n name: 'GLM 4.5 Air (Free)',\n release_date: '2026-01-15',\n attachment: false,\n reasoning: true,\n temperature: true,\n tool_call: true,\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 131072,\n output: 96000,\n },\n modalities: {\n input: ['text'],\n output: ['text'],\n },\n options: {},\n },\n // MiniMax M2.5 - General-purpose, free (upgraded from M2.1)\n // Kilo API model ID: minimax/minimax-m2.5:free\n 'minimax-m2.5-free': {\n id: 'minimax/minimax-m2.5:free',\n name: 'MiniMax M2.5 (Free)',\n release_date: '2026-01-01',\n attachment: false,\n reasoning: true,\n temperature: true,\n tool_call: true,\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 204800,\n output: 131072,\n },\n modalities: {\n input: ['text'],\n output: ['text'],\n },\n options: {},\n },\n // Giga Potato - Free evaluation model\n // Kilo API model ID: giga-potato (no :free suffix)\n 'giga-potato-free': {\n id: 'giga-potato',\n name: 'Giga Potato (Free)',\n release_date: '2026-01-01',\n attachment: true,\n reasoning: true,\n temperature: true,\n tool_call: true,\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 256000,\n output: 32000,\n },\n modalities: {\n input: ['text', 'image'],\n output: ['text'],\n },\n options: {},\n },\n // Trinity Large Preview - Preview model from Arcee AI\n // Kilo API model ID: arcee-ai/trinity-large-preview:free\n 'trinity-large-preview': {\n id: 'arcee-ai/trinity-large-preview:free',\n name: 'Trinity Large Preview (Free)',\n release_date: '2026-01-01',\n attachment: false,\n reasoning: false,\n temperature: true,\n tool_call: true,\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 131000,\n output: 65536,\n },\n modalities: {\n input: ['text'],\n output: ['text'],\n },\n options: {},\n },\n // DeepSeek R1 - Reasoning model, free\n // Kilo API model ID: deepseek/deepseek-r1-0528:free\n 'deepseek-r1-free': {\n id: 'deepseek/deepseek-r1-0528:free',\n name: 'DeepSeek R1 (Free)',\n release_date: '2025-05-28',\n attachment: false,\n reasoning: true,\n temperature: true,\n tool_call: false,\n cost: {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n },\n limit: {\n context: 163840,\n output: 163840,\n },\n modalities: {\n input: ['text'],\n output: ['text'],\n },\n options: {},\n },\n },\n };\n\n for (const [providerID, provider] of configProviders) {\n const existing = database[providerID];\n const parsed: ModelsDev.Provider = {\n id: providerID,\n npm: provider.npm ?? existing?.npm,\n name: provider.name ?? existing?.name ?? providerID,\n env: provider.env ?? existing?.env ?? [],\n api: provider.api ?? existing?.api,\n models: existing?.models ?? {},\n };\n\n for (const [modelID, model] of Object.entries(provider.models ?? {})) {\n const existing = parsed.models[model.id ?? modelID];\n const name = iife(() => {\n if (model.name) return model.name;\n if (model.id && model.id !== modelID) return modelID;\n return existing?.name ?? modelID;\n });\n const parsedModel: ModelsDev.Model = {\n id: modelID,\n name,\n release_date: model.release_date ?? existing?.release_date,\n attachment: model.attachment ?? existing?.attachment ?? false,\n reasoning: model.reasoning ?? existing?.reasoning ?? false,\n temperature: model.temperature ?? existing?.temperature ?? false,\n tool_call: model.tool_call ?? existing?.tool_call ?? true,\n cost:\n !model.cost && !existing?.cost\n ? {\n input: 0,\n output: 0,\n cache_read: 0,\n cache_write: 0,\n }\n : {\n cache_read: 0,\n cache_write: 0,\n ...existing?.cost,\n ...model.cost,\n },\n options: {\n ...existing?.options,\n ...model.options,\n },\n limit: model.limit ??\n existing?.limit ?? {\n context: 0,\n output: 0,\n },\n modalities: model.modalities ??\n existing?.modalities ?? {\n input: ['text'],\n output: ['text'],\n },\n headers: model.headers,\n provider: model.provider ?? existing?.provider,\n };\n if (model.id && model.id !== modelID) {\n realIdByKey.set(`${providerID}/${modelID}`, model.id);\n }\n parsed.models[modelID] = parsedModel;\n }\n database[providerID] = parsed;\n }\n\n const disabled = await Config.get().then(\n (cfg) => new Set(cfg.disabled_providers ?? [])\n );\n // load env\n for (const [providerID, provider] of Object.entries(database)) {\n if (disabled.has(providerID)) continue;\n // Find the first truthy env var (supports multiple env var options like Google's\n // GOOGLE_GENERATIVE_AI_API_KEY and GEMINI_API_KEY)\n const apiKey = provider.env\n .map((item) => process.env[item])\n .find(Boolean);\n if (!apiKey) continue;\n // Always pass the API key - the provider SDK needs it for authentication\n mergeProvider(providerID, { apiKey }, 'env');\n }\n\n // load apikeys\n for (const [providerID, provider] of Object.entries(await Auth.all())) {\n if (disabled.has(providerID)) continue;\n if (provider.type === 'api') {\n mergeProvider(providerID, { apiKey: provider.key }, 'api');\n }\n }\n\n // load custom\n for (const [providerID, fn] of Object.entries(CUSTOM_LOADERS)) {\n if (disabled.has(providerID)) continue;\n const result = await fn(database[providerID]);\n if (result && (result.autoload || providers[providerID])) {\n mergeProvider(\n providerID,\n result.options ?? {},\n 'custom',\n result.getModel\n );\n }\n }\n\n // load config\n for (const [providerID, provider] of configProviders) {\n mergeProvider(providerID, provider.options ?? {}, 'config');\n }\n\n for (const [providerID, provider] of Object.entries(providers)) {\n const filteredModels = Object.fromEntries(\n Object.entries(provider.info.models)\n // Filter out blacklisted models\n .filter(\n ([modelID]) =>\n modelID !== 'gpt-5-chat-latest' &&\n !(providerID === 'openrouter' && modelID === 'openai/gpt-5-chat')\n )\n // Filter out experimental models\n .filter(\n ([, model]) =>\n ((!model.experimental && model.status !== 'alpha') ||\n Flag.OPENCODE_ENABLE_EXPERIMENTAL_MODELS) &&\n model.status !== 'deprecated'\n )\n );\n provider.info.models = filteredModels;\n\n if (Object.keys(provider.info.models).length === 0) {\n delete providers[providerID];\n continue;\n }\n log.info(() => ({ message: 'found', providerID }));\n }\n\n return {\n models,\n providers,\n sdk,\n realIdByKey,\n };\n });\n\n export async function list() {\n return state().then((state) => state.providers);\n }\n\n async function getSDK(provider: ModelsDev.Provider, model: ModelsDev.Model) {\n return (async () => {\n using _ = log.time('getSDK', {\n providerID: provider.id,\n });\n const s = await state();\n const pkg = model.provider?.npm ?? provider.npm ?? provider.id;\n const options = { ...s.providers[provider.id]?.options };\n if (\n pkg.includes('@ai-sdk/openai-compatible') &&\n options['includeUsage'] === undefined\n ) {\n options['includeUsage'] = true;\n }\n const key = Bun.hash.xxHash32(JSON.stringify({ pkg, options }));\n const existing = s.sdk.get(key);\n if (existing) return existing;\n\n let installedPath: string;\n if (!pkg.startsWith('file://')) {\n log.info(() => ({\n message: 'installing provider package',\n providerID: provider.id,\n pkg,\n version: 'latest',\n }));\n installedPath = await BunProc.install(pkg, 'latest');\n log.info(() => ({\n message: 'provider package installed successfully',\n providerID: provider.id,\n pkg,\n installedPath,\n }));\n } else {\n log.info(() => ({ message: 'loading local provider', pkg }));\n installedPath = pkg;\n }\n\n // The `google-vertex-anthropic` provider points to the `@ai-sdk/google-vertex` package.\n // Ref: https://github.com/sst/models.dev/blob/0a87de42ab177bebad0620a889e2eb2b4a5dd4ab/providers/google-vertex-anthropic/provider.toml\n // However, the actual export is at the subpath `@ai-sdk/google-vertex/anthropic`.\n // Ref: https://ai-sdk.dev/providers/ai-sdk-providers/google-vertex#google-vertex-anthropic-provider-usage\n // In addition, Bun's dynamic import logic does not support subpath imports,\n // so we patch the import path to load directly from `dist`.\n const modPath =\n provider.id === 'google-vertex-anthropic'\n ? `${installedPath}/dist/anthropic/index.mjs`\n : installedPath;\n const mod = await import(modPath);\n if (options['timeout'] !== undefined && options['timeout'] !== null) {\n // Preserve custom fetch if it exists, wrap it with timeout logic\n const customFetch = options['fetch'];\n options['fetch'] = async (input: any, init?: BunFetchRequestInit) => {\n const { signal, ...rest } = init ?? {};\n\n const signals: AbortSignal[] = [];\n if (signal) signals.push(signal);\n if (options['timeout'] !== false)\n signals.push(AbortSignal.timeout(options['timeout']));\n\n const combined =\n signals.length > 1 ? AbortSignal.any(signals) : signals[0];\n\n const fetchFn = customFetch ?? fetch;\n return fetchFn(input, {\n ...rest,\n signal: combined,\n // @ts-ignore see here: https://github.com/oven-sh/bun/issues/16682\n timeout: false,\n });\n };\n }\n\n // Wrap fetch with retry logic for rate limit handling (HTTP 429)\n // This ensures the agent's time-based retry (7-week timeout) is respected\n // instead of the AI SDK's fixed retry count (3 attempts)\n // See: https://github.com/link-assistant/agent/issues/167\n const existingFetch = options['fetch'] ?? fetch;\n options['fetch'] = RetryFetch.wrap(existingFetch, {\n sessionID: provider.id,\n });\n\n const fn = mod[Object.keys(mod).find((key) => key.startsWith('create'))!];\n const loaded = fn({\n name: provider.id,\n ...options,\n });\n s.sdk.set(key, loaded);\n return loaded as SDK;\n })().catch((e) => {\n log.error(() => ({\n message: 'provider initialization failed',\n providerID: provider.id,\n pkg: model.provider?.npm ?? provider.npm ?? provider.id,\n error: e instanceof Error ? e.message : String(e),\n stack: e instanceof Error ? e.stack : undefined,\n cause: e instanceof Error && e.cause ? String(e.cause) : undefined,\n }));\n throw new InitError({ providerID: provider.id }, { cause: e });\n });\n }\n\n export async function getProvider(providerID: string) {\n return state().then((s) => s.providers[providerID]);\n }\n\n export async function getModel(providerID: string, modelID: string) {\n const key = `${providerID}/${modelID}`;\n const s = await state();\n if (s.models.has(key)) return s.models.get(key)!;\n\n log.info(() => ({ message: 'getModel', providerID, modelID }));\n\n const provider = s.providers[providerID];\n if (!provider) {\n // Check if this model ID might exist in another provider (e.g., OpenRouter)\n // This helps users who use formats like \"z-ai/glm-4.7\" instead of \"openrouter/z-ai/glm-4.7\"\n const fullModelKey = `${providerID}/${modelID}`;\n let suggestion: string | undefined;\n\n for (const [knownProviderID, knownProvider] of Object.entries(\n s.providers\n )) {\n if (knownProvider.info.models[fullModelKey]) {\n suggestion = `Did you mean: ${knownProviderID}/${fullModelKey}?`;\n break;\n }\n }\n\n throw new ModelNotFoundError({ providerID, modelID, suggestion });\n }\n\n // For synthetic providers (like link-assistant/echo and link-assistant/cache), skip SDK loading\n // These providers have a custom getModel function that creates the model directly\n const isSyntheticProvider =\n providerID === 'link-assistant' || providerID === 'link-assistant/cache';\n\n // For synthetic providers, we don't need model info from the database\n const info = isSyntheticProvider ? null : provider.info.models[modelID];\n if (!isSyntheticProvider && !info)\n throw new ModelNotFoundError({ providerID, modelID });\n\n try {\n const keyReal = `${providerID}/${modelID}`;\n const realID = s.realIdByKey.get(keyReal) ?? (info ? info.id : modelID);\n\n let language: LanguageModel;\n if (isSyntheticProvider && provider.getModel) {\n // For synthetic providers, call getModel directly without SDK\n language = await provider.getModel(null, realID, provider.options);\n } else {\n // For regular providers, load the SDK first\n const sdk = await getSDK(provider.info, info!);\n language = provider.getModel\n ? await provider.getModel(sdk, realID, provider.options)\n : sdk.languageModel(realID);\n }\n log.info(() => ({ message: 'found', providerID, modelID }));\n s.models.set(key, {\n providerID,\n modelID,\n info,\n language,\n npm: isSyntheticProvider\n ? provider.info.npm\n : (info.provider?.npm ?? provider.info.npm),\n });\n return {\n modelID,\n providerID,\n info,\n language,\n npm: info.provider?.npm ?? provider.info.npm,\n };\n } catch (e) {\n if (e instanceof NoSuchModelError)\n throw new ModelNotFoundError(\n {\n modelID: modelID,\n providerID,\n },\n { cause: e }\n );\n throw e;\n }\n }\n\n export async function getSmallModel(providerID: string) {\n const cfg = await Config.get();\n\n if (cfg.small_model) {\n const parsed = parseModel(cfg.small_model);\n return getModel(parsed.providerID, parsed.modelID);\n }\n\n const provider = await state().then((state) => state.providers[providerID]);\n if (!provider) return;\n let priority = [\n 'claude-haiku-4-5',\n 'claude-haiku-4.5',\n '3-5-haiku',\n '3.5-haiku',\n 'gemini-2.5-flash',\n 'gpt-5-nano',\n ];\n // claude-haiku-4.5 is considered a premium model in github copilot, we shouldn't use premium requests for title gen\n if (providerID === 'github-copilot') {\n priority = priority.filter((m) => m !== 'claude-haiku-4.5');\n }\n if (providerID === 'opencode' || providerID === 'local') {\n priority = [\n 'kimi-k2.5-free',\n 'minimax-m2.1-free',\n 'gpt-5-nano',\n 'glm-4.7-free',\n 'big-pickle',\n ];\n }\n if (providerID === 'kilo') {\n priority = [\n 'glm-5-free',\n 'glm-4.5-air-free',\n 'minimax-m2.5-free',\n 'deepseek-r1-free',\n 'giga-potato-free',\n ];\n }\n for (const item of priority) {\n for (const model of Object.keys(provider.info.models)) {\n if (model.includes(item)) return getModel(providerID, model);\n }\n }\n }\n\n const priority = [\n 'glm-5-free',\n 'kimi-k2.5-free',\n 'minimax-m2.1-free',\n 'gpt-5-nano',\n 'glm-4.7-free',\n 'big-pickle',\n 'gpt-5',\n 'claude-sonnet-4',\n 'gemini-3-pro',\n ];\n export function sort(models: ModelsDev.Model[]) {\n return sortBy(\n models,\n [\n (model) => priority.findIndex((filter) => model.id.includes(filter)),\n 'desc',\n ],\n [(model) => (model.id.includes('latest') ? 0 : 1), 'asc'],\n [(model) => model.id, 'desc']\n );\n }\n\n export async function defaultModel() {\n const cfg = await Config.get();\n\n // In dry-run mode, use the echo provider by default\n // This allows testing round-trips and multi-turn conversations without API costs\n // @see https://github.com/link-assistant/agent/issues/89\n if (Flag.OPENCODE_DRY_RUN) {\n log.info('dry-run mode enabled, using echo provider as default');\n return {\n providerID: 'link-assistant',\n modelID: 'echo',\n };\n }\n\n if (cfg.model) return parseModel(cfg.model);\n\n // Prefer opencode provider if available\n const providers = await list().then((val) => Object.values(val));\n const opencodeProvider = providers.find((p) => p.info.id === 'opencode');\n if (opencodeProvider) {\n const [model] = sort(Object.values(opencodeProvider.info.models));\n if (model) {\n log.info(() => ({\n message: 'using opencode provider as default',\n provider: opencodeProvider.info.id,\n model: model.id,\n }));\n return {\n providerID: opencodeProvider.info.id,\n modelID: model.id,\n };\n }\n }\n\n // Fall back to any available provider if opencode is not available\n const provider = providers.find(\n (p) => !cfg.provider || Object.keys(cfg.provider).includes(p.info.id)\n );\n if (!provider) throw new Error('no providers found');\n const [model] = sort(Object.values(provider.info.models));\n if (!model) throw new Error('no models found');\n return {\n providerID: provider.info.id,\n modelID: model.id,\n };\n }\n\n export function parseModel(model: string) {\n const [providerID, ...rest] = model.split('/');\n return {\n providerID: providerID,\n modelID: rest.join('/'),\n };\n }\n\n /**\n * Resolve a short model name (without provider prefix) to the appropriate provider.\n * This function finds which provider should handle a model when no explicit provider is specified.\n *\n * Priority for free models:\n * 1. If model is uniquely available in one provider, use that provider\n * 2. If model is available in multiple providers, prioritize based on free model availability:\n * - kilo: glm-5-free, glm-4.5-air-free, minimax-m2.5-free, giga-potato-free, deepseek-r1-free (unique to Kilo)\n * - opencode: big-pickle, gpt-5-nano (unique to OpenCode)\n * 3. For shared models, prefer OpenCode first, then fall back to Kilo on rate limit\n *\n * @param modelID - Short model name without provider prefix\n * @returns Provider ID that should handle this model, or undefined if not found\n */\n export async function resolveShortModelName(\n modelID: string\n ): Promise<{ providerID: string; modelID: string } | undefined> {\n const s = await state();\n\n // Define model-to-provider mappings for free models\n // Models unique to Kilo (GLM models from Z.AI are only free on Kilo)\n const kiloUniqueModels = [\n 'glm-5-free',\n 'glm-4.5-air-free',\n 'minimax-m2.5-free',\n 'giga-potato-free',\n 'trinity-large-preview',\n 'deepseek-r1-free',\n ];\n\n // Check if it's a Kilo-unique model\n if (kiloUniqueModels.includes(modelID)) {\n const kiloProvider = s.providers['kilo'];\n if (kiloProvider && kiloProvider.info.models[modelID]) {\n log.info(() => ({\n message: 'resolved short model name to kilo (unique)',\n modelID,\n }));\n return { providerID: 'kilo', modelID };\n }\n }\n\n // Check if model exists in any provider\n const matchingProviders: string[] = [];\n for (const [providerID, provider] of Object.entries(s.providers)) {\n if (provider.info.models[modelID]) {\n matchingProviders.push(providerID);\n }\n }\n\n if (matchingProviders.length === 0) {\n return undefined;\n }\n\n if (matchingProviders.length === 1) {\n const providerID = matchingProviders[0];\n log.info(() => ({\n message: 'resolved short model name (single match)',\n modelID,\n providerID,\n }));\n return { providerID, modelID };\n }\n\n // Multiple providers have this model - prefer OpenCode for shared free models\n // This follows the convention that opencode is the primary free provider\n if (matchingProviders.includes('opencode')) {\n log.info(() => ({\n message: 'resolved short model name to opencode (multiple providers)',\n modelID,\n availableProviders: matchingProviders,\n }));\n return { providerID: 'opencode', modelID };\n }\n\n // Fallback to first matching provider\n const providerID = matchingProviders[0];\n log.info(() => ({\n message: 'resolved short model name (fallback)',\n modelID,\n providerID,\n availableProviders: matchingProviders,\n }));\n return { providerID, modelID };\n }\n\n /**\n * Parse a model string that may or may not include a provider prefix.\n * If no provider is specified, attempts to resolve the short model name to the appropriate provider.\n *\n * Examples:\n * - \"kilo/glm-5-free\" -> { providerID: \"kilo\", modelID: \"glm-5-free\" }\n * - \"glm-5-free\" -> { providerID: \"kilo\", modelID: \"glm-5-free\" } (resolved)\n * - \"kimi-k2.5-free\" -> { providerID: \"opencode\", modelID: \"kimi-k2.5-free\" } (resolved)\n *\n * @param model - Model string with or without provider prefix\n * @returns Parsed provider ID and model ID\n */\n export async function parseModelWithResolution(\n model: string\n ): Promise<{ providerID: string; modelID: string }> {\n // Check if model includes a provider prefix\n if (model.includes('/')) {\n // Explicit provider specified - use it directly\n return parseModel(model);\n }\n\n // No provider prefix - try to resolve the short model name\n const resolved = await resolveShortModelName(model);\n if (resolved) {\n return resolved;\n }\n\n // Unable to resolve - fall back to default behavior (opencode provider)\n log.warn(() => ({\n message: 'unable to resolve short model name, using opencode as default',\n modelID: model,\n }));\n return {\n providerID: 'opencode',\n modelID: model,\n };\n }\n\n /**\n * Defines models that are available in multiple free providers.\n * When one provider hits rate limits, the system can try an alternative.\n *\n * Note: This is only used for models without explicit provider specification.\n * If user specifies \"kilo/kimi-k2.5-free\", no fallback will occur.\n */\n const SHARED_FREE_MODELS: Record<string, string[]> = {\n // Currently no shared models between OpenCode and Kilo providers.\n // Kilo models use different IDs than OpenCode models.\n };\n\n /**\n * Get alternative providers for a model when the primary provider fails (e.g., rate limited).\n * This function returns a list of alternative providers that offer the same model.\n *\n * Note: This only returns alternatives for models without explicit provider specification.\n * If the original request had an explicit provider (like \"kilo/kimi-k2.5-free\"), this returns empty array.\n *\n * @param modelID - The model ID to find alternatives for\n * @param failedProviderID - The provider that failed\n * @param wasExplicitProvider - Whether the user explicitly specified the provider\n * @returns Array of alternative provider IDs that can serve this model\n */\n export async function getAlternativeProviders(\n modelID: string,\n failedProviderID: string,\n wasExplicitProvider: boolean\n ): Promise<string[]> {\n // If the user explicitly specified a provider, don't offer alternatives\n if (wasExplicitProvider) {\n log.info(() => ({\n message: 'no alternative providers (explicit provider specified)',\n modelID,\n failedProviderID,\n }));\n return [];\n }\n\n // Check if this is a shared model\n const sharedProviders = SHARED_FREE_MODELS[modelID];\n if (!sharedProviders) {\n // Not a shared model, no alternatives\n return [];\n }\n\n // Get alternative providers (excluding the failed one)\n const s = await state();\n const alternatives = sharedProviders.filter(\n (p) => p !== failedProviderID && s.providers[p]\n );\n\n if (alternatives.length > 0) {\n log.info(() => ({\n message: 'found alternative providers for rate-limited model',\n modelID,\n failedProviderID,\n alternatives,\n }));\n }\n\n return alternatives;\n }\n\n /**\n * Checks if an error indicates a rate limit issue.\n * @param error - The error to check\n * @returns true if the error indicates a rate limit\n */\n export function isRateLimitError(error: unknown): boolean {\n if (!(error instanceof Error)) return false;\n\n const message = error.message.toLowerCase();\n const name = error.name.toLowerCase();\n\n return (\n message.includes('rate limit') ||\n message.includes('ratelimit') ||\n message.includes('too many requests') ||\n message.includes('429') ||\n name.includes('ratelimit')\n );\n }\n\n export const ModelNotFoundError = NamedError.create(\n 'ProviderModelNotFoundError',\n z.object({\n providerID: z.string(),\n modelID: z.string(),\n suggestion: z.string().optional(),\n })\n );\n\n export const InitError = NamedError.create(\n 'ProviderInitError',\n z.object({\n providerID: z.string(),\n })\n );\n}\n", | |
| "numLines": 1649, | |
| "startLine": 1, | |
| "totalLines": 1649 | |
| } | |
| } | |
| } | |
| [2026-02-15T08:55:01.165Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-opus-4-5-20251101", | |
| "id": "msg_01CUDQVG3myk9YG234Lfv5Vm", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": "Now I understand the root cause! Looking at line 1139:\n\n```typescript\ninstalledPath = await BunProc.install(pkg, 'latest');\n```\n\nThe provider code installs packages with `'latest'` version. However, the issue is that the user's cache (`~/.cache/link-assistant-agent/node_modules/`) might have an old version of `@ai-sdk/openai-compatible` (v1.x with `specificationVersion: 'v2'`) installed, and `BunProc.install` doesn't force an update when a version already exists.\n\nLet me check the BunProc.install implementation:" | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 0, | |
| "cache_creation_input_tokens": 21548, | |
| "cache_read_input_tokens": 75207, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 0, | |
| "ephemeral_1h_input_tokens": 21548 | |
| }, | |
| "output_tokens": 1, | |
| "service_tier": "standard", | |
| "inference_geo": "not_available" | |
| }, | |
| "context_management": null | |
| }, | |
| "parent_tool_use_id": null, | |
| "session_id": "4f4bbee1-f387-4522-b4b9-b12a458c9f13", | |
| "uuid": "3d58be2d-1d45-409f-ba4a-9768d4bc3aa8" | |
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| [2026-02-15T08:55:02.183Z] [INFO] { | |
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| "content": " 1→import z from 'zod';\n 2→import { Global } from '../global';\n 3→import { Log } from '../util/log';\n 4→import path from 'path';\n 5→import { NamedError } from '../util/error';\n 6→import { readableStreamToText } from 'bun';\n 7→import { Flag } from '../flag/flag';\n 8→import { Lock } from '../util/lock';\n 9→\n 10→export namespace BunProc {\n 11→ const log = Log.create({ service: 'bun' });\n 12→\n 13→ // Lock key for serializing package installations to prevent race conditions\n 14→ const INSTALL_LOCK_KEY = 'bun-install';\n 15→\n 16→ // Default timeout for subprocess commands (2 minutes)\n 17→ // This prevents indefinite hangs from known Bun issues:\n 18→ // - HTTP 304 response handling (https://github.com/oven-sh/bun/issues/5831)\n 19→ // - Failed dependency fetch (https://github.com/oven-sh/bun/issues/26341)\n 20→ // - IPv6 configuration issues\n 21→ const DEFAULT_TIMEOUT_MS = 120000;\n 22→\n 23→ // Timeout specifically for package installation (60 seconds)\n 24→ // Package installations should complete within this time for typical packages\n 25→ const INSTALL_TIMEOUT_MS = 60000;\n 26→\n 27→ export const TimeoutError = NamedError.create(\n 28→ 'BunTimeoutError',\n 29→ z.object({\n 30→ cmd: z.array(z.string()),\n 31→ timeoutMs: z.number(),\n 32→ })\n 33→ );\n 34→\n 35→ export async function run(\n 36→ cmd: string[],\n 37→ options?: Bun.SpawnOptions.OptionsObject<any, any, any> & {\n 38→ timeout?: number;\n 39→ }\n 40→ ) {\n 41→ const timeout = options?.timeout ?? DEFAULT_TIMEOUT_MS;\n 42→\n 43→ log.info(() => ({\n 44→ message: 'running',\n 45→ cmd: [which(), ...cmd],\n 46→ timeout,\n 47→ cwd: options?.cwd,\n 48→ }));\n 49→\n 50→ const result = Bun.spawn([which(), ...cmd], {\n 51→ ...options,\n 52→ stdout: 'pipe',\n 53→ stderr: 'pipe',\n 54→ timeout, // Automatically kills process after timeout\n 55→ killSignal: 'SIGTERM', // Graceful termination signal\n 56→ env: {\n 57→ ...process.env,\n 58→ ...options?.env,\n 59→ BUN_BE_BUN: '1',\n 60→ },\n 61→ });\n 62→\n 63→ const code = await result.exited;\n 64→\n 65→ // Check if process was killed due to timeout\n 66→ if (result.signalCode === 'SIGTERM' && code !== 0) {\n 67→ log.error(() => ({\n 68→ message: 'command timed out',\n 69→ cmd: [which(), ...cmd],\n 70→ timeout,\n 71→ signalCode: result.signalCode,\n 72→ }));\n 73→ throw new TimeoutError({\n 74→ cmd: [which(), ...cmd],\n 75→ timeoutMs: timeout,\n 76→ });\n 77→ }\n 78→\n 79→ const stdout = result.stdout\n 80→ ? typeof result.stdout === 'number'\n 81→ ? result.stdout\n 82→ : await readableStreamToText(result.stdout)\n 83→ : undefined;\n 84→ const stderr = result.stderr\n 85→ ? typeof result.stderr === 'number'\n 86→ ? result.stderr\n 87→ : await readableStreamToText(result.stderr)\n 88→ : undefined;\n 89→ log.info(() => ({ message: 'done', code, stdout, stderr }));\n 90→ if (code !== 0) {\n 91→ const parts = [`Command failed with exit code ${result.exitCode}`];\n 92→ if (stderr) parts.push(`stderr: ${stderr}`);\n 93→ if (stdout) parts.push(`stdout: ${stdout}`);\n 94→ throw new Error(parts.join('\\n'));\n 95→ }\n 96→ return result;\n 97→ }\n 98→\n 99→ export function which() {\n 100→ return process.execPath;\n 101→ }\n 102→\n 103→ export const InstallFailedError = NamedError.create(\n 104→ 'BunInstallFailedError',\n 105→ z.object({\n 106→ pkg: z.string(),\n 107→ version: z.string(),\n 108→ details: z.string().optional(),\n 109→ })\n 110→ );\n 111→\n 112→ // Maximum number of retry attempts for cache-related errors\n 113→ const MAX_RETRIES = 3;\n 114→ // Delay between retries in milliseconds\n 115→ const RETRY_DELAY_MS = 500;\n 116→\n 117→ /**\n 118→ * Check if an error is related to Bun cache issues\n 119→ */\n 120→ function isCacheRelatedError(errorMsg: string): boolean {\n 121→ return (\n 122→ errorMsg.includes('failed copying files from cache') ||\n 123→ errorMsg.includes('FileNotFound') ||\n 124→ errorMsg.includes('ENOENT') ||\n 125→ errorMsg.includes('EACCES') ||\n 126→ errorMsg.includes('EBUSY')\n 127→ );\n 128→ }\n 129→\n 130→ /**\n 131→ * Check if an error is a timeout error\n 132→ */\n 133→ function isTimeoutError(error: unknown): boolean {\n 134→ return error instanceof TimeoutError;\n 135→ }\n 136→\n 137→ /**\n 138→ * Wait for a specified duration\n 139→ */\n 140→ function delay(ms: number): Promise<void> {\n 141→ return new Promise((resolve) => setTimeout(resolve, ms));\n 142→ }\n 143→\n 144→ export async function install(pkg: string, version = 'latest') {\n 145→ const mod = path.join(Global.Path.cache, 'node_modules', pkg);\n 146→\n 147→ // Use a write lock to serialize all package installations\n 148→ // This prevents race conditions when multiple packages are installed concurrently\n 149→ using _ = await Lock.write(INSTALL_LOCK_KEY);\n 150→\n 151→ const pkgjson = Bun.file(path.join(Global.Path.cache, 'package.json'));\n 152→ const parsed = await pkgjson.json().catch(async () => {\n 153→ const result = { dependencies: {} };\n 154→ await Bun.write(pkgjson.name!, JSON.stringify(result, null, 2));\n 155→ return result;\n 156→ });\n 157→ if (parsed.dependencies[pkg] === version) return mod;\n 158→\n 159→ // Check for dry-run mode\n 160→ if (Flag.OPENCODE_DRY_RUN) {\n 161→ log.info(() => ({\n 162→ message:\n 163→ '[DRY RUN] Would install package (skipping actual installation)',\n 164→ pkg,\n 165→ version,\n 166→ targetPath: mod,\n 167→ }));\n 168→ // In dry-run mode, pretend the package is installed\n 169→ return mod;\n 170→ }\n 171→\n 172→ // Build command arguments\n 173→ const args = [\n 174→ 'add',\n 175→ '--force',\n 176→ '--exact',\n 177→ '--cwd',\n 178→ Global.Path.cache,\n 179→ pkg + '@' + version,\n 180→ ];\n 181→\n 182→ // Let Bun handle registry resolution:\n 183→ // - If .npmrc files exist, Bun will use them automatically\n 184→ // - If no .npmrc files exist, Bun will default to https://registry.npmjs.org\n 185→ // - No need to pass --registry flag\n 186→ log.info(() => ({\n 187→ message: \"installing package using Bun's default registry resolution\",\n 188→ pkg,\n 189→ version,\n 190→ }));\n 191→\n 192→ // Retry logic for cache-related errors and timeout errors\n 193→ let lastError: Error | undefined;\n 194→ for (let attempt = 1; attempt <= MAX_RETRIES; attempt++) {\n 195→ try {\n 196→ await BunProc.run(args, {\n 197→ cwd: Global.Path.cache,\n 198→ timeout: INSTALL_TIMEOUT_MS, // Use specific timeout for package installation\n 199→ });\n 200→\n 201→ log.info(() => ({\n 202→ message: 'package installed successfully',\n 203→ pkg,\n 204→ version,\n 205→ attempt,\n 206→ }));\n 207→ parsed.dependencies[pkg] = version;\n 208→ await Bun.write(pkgjson.name!, JSON.stringify(parsed, null, 2));\n 209→ return mod;\n 210→ } catch (e) {\n 211→ const errorMsg = e instanceof Error ? e.message : String(e);\n 212→ const isCacheError = isCacheRelatedError(errorMsg);\n 213→ const isTimeout = isTimeoutError(e);\n 214→\n 215→ log.warn(() => ({\n 216→ message: 'package installation attempt failed',\n 217→ pkg,\n 218→ version,\n 219→ attempt,\n 220→ maxRetries: MAX_RETRIES,\n 221→ error: errorMsg,\n 222→ isCacheError,\n 223→ isTimeout,\n 224→ }));\n 225→\n 226→ // Retry on cache-related errors or timeout errors\n 227→ if ((isCacheError || isTimeout) && attempt < MAX_RETRIES) {\n 228→ log.info(() => ({\n 229→ message: isTimeout\n 230→ ? 'retrying installation after timeout (possible network issue)'\n 231→ : 'retrying installation after cache-related error',\n 232→ pkg,\n 233→ version,\n 234→ attempt,\n 235→ nextAttempt: attempt + 1,\n 236→ delayMs: RETRY_DELAY_MS,\n 237→ }));\n 238→ await delay(RETRY_DELAY_MS);\n 239→ lastError = e instanceof Error ? e : new Error(errorMsg);\n 240→ continue;\n 241→ }\n 242→\n 243→ // Non-retriable error or final attempt - log and throw\n 244→ log.error(() => ({\n 245→ message: 'package installation failed',\n 246→ pkg,\n 247→ version,\n 248→ error: errorMsg,\n 249→ stack: e instanceof Error ? e.stack : undefined,\n 250→ possibleCacheCorruption: isCacheError,\n 251→ timedOut: isTimeout,\n 252→ attempts: attempt,\n 253→ }));\n 254→\n 255→ // Provide helpful recovery instructions\n 256→ if (isCacheError) {\n 257→ log.error(() => ({\n 258→ message:\n 259→ 'Bun package cache may be corrupted. Try clearing the cache with: bun pm cache rm',\n 260→ }));\n 261→ }\n 262→\n 263→ if (isTimeout) {\n 264→ log.error(() => ({\n 265→ message:\n 266→ 'Package installation timed out. This may be due to network issues or Bun hanging. ' +\n 267→ 'Try: 1) Check network connectivity, 2) Run \"bun pm cache rm\" to clear cache, ' +\n 268→ '3) Check for IPv6 issues (try disabling IPv6)',\n 269→ }));\n 270→ }\n 271→\n 272→ throw new InstallFailedError(\n 273→ { pkg, version, details: errorMsg },\n 274→ {\n 275→ cause: e,\n 276→ }\n 277→ );\n 278→ }\n 279→ }\n 280→\n 281→ // This should not be reached, but handle it just in case\n 282→ throw new InstallFailedError(\n 283→ {\n 284→ pkg,\n 285→ version,\n 286→ details: lastError?.message ?? 'Installation failed after all retries',\n 287→ },\n 288→ { cause: lastError }\n 289→ );\n 290→ }\n 291→}\n 292→\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 z from 'zod';\nimport { Global } from '../global';\nimport { Log } from '../util/log';\nimport path from 'path';\nimport { NamedError } from '../util/error';\nimport { readableStreamToText } from 'bun';\nimport { Flag } from '../flag/flag';\nimport { Lock } from '../util/lock';\n\nexport namespace BunProc {\n const log = Log.create({ service: 'bun' });\n\n // Lock key for serializing package installations to prevent race conditions\n const INSTALL_LOCK_KEY = 'bun-install';\n\n // Default timeout for subprocess commands (2 minutes)\n // This prevents indefinite hangs from known Bun issues:\n // - HTTP 304 response handling (https://github.com/oven-sh/bun/issues/5831)\n // - Failed dependency fetch (https://github.com/oven-sh/bun/issues/26341)\n // - IPv6 configuration issues\n const DEFAULT_TIMEOUT_MS = 120000;\n\n // Timeout specifically for package installation (60 seconds)\n // Package installations should complete within this time for typical packages\n const INSTALL_TIMEOUT_MS = 60000;\n\n export const TimeoutError = NamedError.create(\n 'BunTimeoutError',\n z.object({\n cmd: z.array(z.string()),\n timeoutMs: z.number(),\n })\n );\n\n export async function run(\n cmd: string[],\n options?: Bun.SpawnOptions.OptionsObject<any, any, any> & {\n timeout?: number;\n }\n ) {\n const timeout = options?.timeout ?? DEFAULT_TIMEOUT_MS;\n\n log.info(() => ({\n message: 'running',\n cmd: [which(), ...cmd],\n timeout,\n cwd: options?.cwd,\n }));\n\n const result = Bun.spawn([which(), ...cmd], {\n ...options,\n stdout: 'pipe',\n stderr: 'pipe',\n timeout, // Automatically kills process after timeout\n killSignal: 'SIGTERM', // Graceful termination signal\n env: {\n ...process.env,\n ...options?.env,\n BUN_BE_BUN: '1',\n },\n });\n\n const code = await result.exited;\n\n // Check if process was killed due to timeout\n if (result.signalCode === 'SIGTERM' && code !== 0) {\n log.error(() => ({\n message: 'command timed out',\n cmd: [which(), ...cmd],\n timeout,\n signalCode: result.signalCode,\n }));\n throw new TimeoutError({\n cmd: [which(), ...cmd],\n timeoutMs: timeout,\n });\n }\n\n const stdout = result.stdout\n ? typeof result.stdout === 'number'\n ? result.stdout\n : await readableStreamToText(result.stdout)\n : undefined;\n const stderr = result.stderr\n ? typeof result.stderr === 'number'\n ? result.stderr\n : await readableStreamToText(result.stderr)\n : undefined;\n log.info(() => ({ message: 'done', code, stdout, stderr }));\n if (code !== 0) {\n const parts = [`Command failed with exit code ${result.exitCode}`];\n if (stderr) parts.push(`stderr: ${stderr}`);\n if (stdout) parts.push(`stdout: ${stdout}`);\n throw new Error(parts.join('\\n'));\n }\n return result;\n }\n\n export function which() {\n return process.execPath;\n }\n\n export const InstallFailedError = NamedError.create(\n 'BunInstallFailedError',\n z.object({\n pkg: z.string(),\n version: z.string(),\n details: z.string().optional(),\n })\n );\n\n // Maximum number of retry attempts for cache-related errors\n const MAX_RETRIES = 3;\n // Delay between retries in milliseconds\n const RETRY_DELAY_MS = 500;\n\n /**\n * Check if an error is related to Bun cache issues\n */\n function isCacheRelatedError(errorMsg: string): boolean {\n return (\n errorMsg.includes('failed copying files from cache') ||\n errorMsg.includes('FileNotFound') ||\n errorMsg.includes('ENOENT') ||\n errorMsg.includes('EACCES') ||\n errorMsg.includes('EBUSY')\n );\n }\n\n /**\n * Check if an error is a timeout error\n */\n function isTimeoutError(error: unknown): boolean {\n return error instanceof TimeoutError;\n }\n\n /**\n * Wait for a specified duration\n */\n function delay(ms: number): Promise<void> {\n return new Promise((resolve) => setTimeout(resolve, ms));\n }\n\n export async function install(pkg: string, version = 'latest') {\n const mod = path.join(Global.Path.cache, 'node_modules', pkg);\n\n // Use a write lock to serialize all package installations\n // This prevents race conditions when multiple packages are installed concurrently\n using _ = await Lock.write(INSTALL_LOCK_KEY);\n\n const pkgjson = Bun.file(path.join(Global.Path.cache, 'package.json'));\n const parsed = await pkgjson.json().catch(async () => {\n const result = { dependencies: {} };\n await Bun.write(pkgjson.name!, JSON.stringify(result, null, 2));\n return result;\n });\n if (parsed.dependencies[pkg] === version) return mod;\n\n // Check for dry-run mode\n if (Flag.OPENCODE_DRY_RUN) {\n log.info(() => ({\n message:\n '[DRY RUN] Would install package (skipping actual installation)',\n pkg,\n version,\n targetPath: mod,\n }));\n // In dry-run mode, pretend the package is installed\n return mod;\n }\n\n // Build command arguments\n const args = [\n 'add',\n '--force',\n '--exact',\n '--cwd',\n Global.Path.cache,\n pkg + '@' + version,\n ];\n\n // Let Bun handle registry resolution:\n // - If .npmrc files exist, Bun will use them automatically\n // - If no .npmrc files exist, Bun will default to https://registry.npmjs.org\n // - No need to pass --registry flag\n log.info(() => ({\n message: \"installing package using Bun's default registry resolution\",\n pkg,\n version,\n }));\n\n // Retry logic for cache-related errors and timeout errors\n let lastError: Error | undefined;\n for (let attempt = 1; attempt <= MAX_RETRIES; attempt++) {\n try {\n await BunProc.run(args, {\n cwd: Global.Path.cache,\n timeout: INSTALL_TIMEOUT_MS, // Use specific timeout for package installation\n });\n\n log.info(() => ({\n message: 'package installed successfully',\n pkg,\n version,\n attempt,\n }));\n parsed.dependencies[pkg] = version;\n await Bun.write(pkgjson.name!, JSON.stringify(parsed, null, 2));\n return mod;\n } catch (e) {\n const errorMsg = e instanceof Error ? e.message : String(e);\n const isCacheError = isCacheRelatedError(errorMsg);\n const isTimeout = isTimeoutError(e);\n\n log.warn(() => ({\n message: 'package installation attempt failed',\n pkg,\n version,\n attempt,\n maxRetries: MAX_RETRIES,\n error: errorMsg,\n isCacheError,\n isTimeout,\n }));\n\n // Retry on cache-related errors or timeout errors\n if ((isCacheError || isTimeout) && attempt < MAX_RETRIES) {\n log.info(() => ({\n message: isTimeout\n ? 'retrying installation after timeout (possible network issue)'\n : 'retrying installation after cache-related error',\n pkg,\n version,\n attempt,\n nextAttempt: attempt + 1,\n delayMs: RETRY_DELAY_MS,\n }));\n await delay(RETRY_DELAY_MS);\n lastError = e instanceof Error ? e : new Error(errorMsg);\n continue;\n }\n\n // Non-retriable error or final attempt - log and throw\n log.error(() => ({\n message: 'package installation failed',\n pkg,\n version,\n error: errorMsg,\n stack: e instanceof Error ? e.stack : undefined,\n possibleCacheCorruption: isCacheError,\n timedOut: isTimeout,\n attempts: attempt,\n }));\n\n // Provide helpful recovery instructions\n if (isCacheError) {\n log.error(() => ({\n message:\n 'Bun package cache may be corrupted. Try clearing the cache with: bun pm cache rm',\n }));\n }\n\n if (isTimeout) {\n log.error(() => ({\n message:\n 'Package installation timed out. This may be due to network issues or Bun hanging. ' +\n 'Try: 1) Check network connectivity, 2) Run \"bun pm cache rm\" to clear cache, ' +\n '3) Check for IPv6 issues (try disabling IPv6)',\n }));\n }\n\n throw new InstallFailedError(\n { pkg, version, details: errorMsg },\n {\n cause: e,\n }\n );\n }\n }\n\n // This should not be reached, but handle it just in case\n throw new InstallFailedError(\n {\n pkg,\n version,\n details: lastError?.message ?? 'Installation failed after all retries',\n },\n { cause: lastError }\n );\n }\n}\n", | |
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| "text": "Now I see the issue clearly. On line 157:\n\n```typescript\nif (parsed.dependencies[pkg] === version) return mod;\n```\n\nWhen `version === 'latest'`, and `parsed.dependencies[pkg] === 'latest'`, the function returns early without checking if there's a newer version of \"latest\". This means users who installed `@ai-sdk/openai-compatible` when v1.x was \"latest\" won't get v2.x (with v3 spec support) even when running the CLI again.\n\nNow I have a complete picture of the situation. Let me update my todo list and summarize what I've found:" | |
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| "name": "TodoWrite", | |
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| { | |
| "content": "Investigate root causes of all 3 warnings", | |
| "status": "completed", | |
| "activeForm": "Investigating root causes of warnings" | |
| }, | |
| { | |
| "content": "Check upstream @ai-sdk/openai-compatible for v3 specification support", | |
| "status": "completed", | |
| "activeForm": "Checking upstream package for v3 support" | |
| }, | |
| { | |
| "content": "Analyze cache warning - fix root cause or explain why suppression is appropriate", | |
| "status": "completed", | |
| "activeForm": "Analyzing cache warning root cause" | |
| }, | |
| { | |
| "content": "Update PR to address reviewer feedback - fix root cause of specificationVersion warning", | |
| "status": "in_progress", | |
| "activeForm": "Updating PR to fix root cause" | |
| }, | |
| { | |
| "content": "Run CI/CD checks and ensure all tests pass", | |
| "status": "pending", | |
| "activeForm": "Running CI/CD checks" | |
| }, | |
| { | |
| "content": "Mark PR as ready after all changes are validated", | |
| "status": "pending", | |
| "activeForm": "Marking PR as ready" | |
| } | |
| ] | |
| }, | |
| "caller": { | |
| "type": "direct" | |
| } | |
| } | |
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| } | |
| [2026-02-15T08:55:12.528Z] [INFO] { | |
| "type": "user", | |
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| { | |
| "tool_use_id": "toolu_01V1zmZYrudjaa4MSfKow3YD", | |
| "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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| "content": "Analyze cache warning - fix root cause or explain why suppression is appropriate", | |
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| }, | |
| { | |
| "content": "Update PR to address reviewer feedback about root cause fixes", | |
| "status": "pending", | |
| "activeForm": "Updating PR with root cause fixes" | |
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| "content": "Run CI/CD checks and ensure all tests pass", | |
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| "content": "Mark PR as ready after all changes are validated", | |
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| } | |
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| "content": "Check upstream @ai-sdk/openai-compatible for v3 specification support", | |
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| "content": "Run CI/CD checks and ensure all tests pass", | |
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| }, | |
| { | |
| "content": "Mark PR as ready after all changes are validated", | |
| "status": "pending", | |
| "activeForm": "Marking PR as ready" | |
| } | |
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| } | |
| } | |
| [2026-02-15T08:55:22.610Z] [INFO] { | |
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| "id": "msg_01TMv3UNEDRmxjnnxvBXZKez", | |
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| "text": "Based on my investigation, I can now answer the reviewer's question: **\"Why we are suppressing warnings? Can we fix their root cause?\"**\n\nHere's what I found:\n\n## Root Cause Analysis\n\n### Warning 1: `specificationVersion v2 compatibility mode`\n- **Root Cause**: The upstream `@ai-sdk/openai-compatible` package **already supports v3** (I verified the current source code shows `specificationVersion = 'v3'`). However, the user's local cache has an outdated version (v1.x) because `BunProc.install()` with `'latest'` doesn't update if `package.json` already has `\"latest\"` as the version.\n- **Fix**: Update `BunProc.install()` to force refresh packages when version is `'latest'` periodically.\n\n### Warning 2: `AI SDK Warning System notice`\n- **Root Cause**: This is an informational message from AI SDK that appears once per session to tell users how to disable warnings.\n- **Fix**: Once Warning 1 is fixed, this won't appear because no warnings are triggered.\n\n### Warning 3: `cache read failed, using bundled data`\n- **Root Cause**: This is expected behavior when models.dev cache is unavailable (network issues, corrupted cache).\n- **Current Fix**: Changed from `warn` to `info` level since bundled data fallback is a valid mechanism.\n\n## Solution Plan\n\nThe proper fix is to address **Warning 1's root cause** by ensuring packages get refreshed. Let me implement this fix:" | |
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| "content": " 140→ function delay(ms: number): Promise<void> {\n 141→ return new Promise((resolve) => setTimeout(resolve, ms));\n 142→ }\n 143→\n 144→ export async function install(pkg: string, version = 'latest') {\n 145→ const mod = path.join(Global.Path.cache, 'node_modules', pkg);\n 146→\n 147→ // Use a write lock to serialize all package installations\n 148→ // This prevents race conditions when multiple packages are installed concurrently\n 149→ using _ = await Lock.write(INSTALL_LOCK_KEY);\n 150→\n 151→ const pkgjson = Bun.file(path.join(Global.Path.cache, 'package.json'));\n 152→ const parsed = await pkgjson.json().catch(async () => {\n 153→ const result = { dependencies: {} };\n 154→ await Bun.write(pkgjson.name!, JSON.stringify(result, null, 2));\n 155→ return result;\n 156→ });\n 157→ if (parsed.dependencies[pkg] === version) return mod;\n 158→\n 159→ // Check for dry-run mode\n 160→ if (Flag.OPENCODE_DRY_RUN) {\n 161→ log.info(() => ({\n 162→ message:\n 163→ '[DRY RUN] Would install package (skipping actual installation)',\n 164→ pkg,\n 165→ version,\n 166→ targetPath: mod,\n 167→ }));\n 168→ // In dry-run mode, pretend the package is installed\n 169→ return mod;\n 170→ }\n 171→\n 172→ // Build command arguments\n 173→ const args = [\n 174→ 'add',\n 175→ '--force',\n 176→ '--exact',\n 177→ '--cwd',\n 178→ Global.Path.cache,\n 179→ pkg + '@' + version,\n 180→ ];\n 181→\n 182→ // Let Bun handle registry resolution:\n 183→ // - If .npmrc files exist, Bun will use them automatically\n 184→ // - If no .npmrc files exist, Bun will default to https://registry.npmjs.org\n 185→ // - No need to pass --registry flag\n 186→ log.info(() => ({\n 187→ message: \"installing package using Bun's default registry resolution\",\n 188→ pkg,\n 189→ version,\n 190→ }));\n 191→\n 192→ // Retry logic for cache-related errors and timeout errors\n 193→ let lastError: Error | undefined;\n 194→ for (let attempt = 1; attempt <= MAX_RETRIES; attempt++) {\n 195→ try {\n 196→ await BunProc.run(args, {\n 197→ cwd: Global.Path.cache,\n 198→ timeout: INSTALL_TIMEOUT_MS, // Use specific timeout for package installation\n 199→ });\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": " function delay(ms: number): Promise<void> {\n return new Promise((resolve) => setTimeout(resolve, ms));\n }\n\n export async function install(pkg: string, version = 'latest') {\n const mod = path.join(Global.Path.cache, 'node_modules', pkg);\n\n // Use a write lock to serialize all package installations\n // This prevents race conditions when multiple packages are installed concurrently\n using _ = await Lock.write(INSTALL_LOCK_KEY);\n\n const pkgjson = Bun.file(path.join(Global.Path.cache, 'package.json'));\n const parsed = await pkgjson.json().catch(async () => {\n const result = { dependencies: {} };\n await Bun.write(pkgjson.name!, JSON.stringify(result, null, 2));\n return result;\n });\n if (parsed.dependencies[pkg] === version) return mod;\n\n // Check for dry-run mode\n if (Flag.OPENCODE_DRY_RUN) {\n log.info(() => ({\n message:\n '[DRY RUN] Would install package (skipping actual installation)',\n pkg,\n version,\n targetPath: mod,\n }));\n // In dry-run mode, pretend the package is installed\n return mod;\n }\n\n // Build command arguments\n const args = [\n 'add',\n '--force',\n '--exact',\n '--cwd',\n Global.Path.cache,\n pkg + '@' + version,\n ];\n\n // Let Bun handle registry resolution:\n // - If .npmrc files exist, Bun will use them automatically\n // - If no .npmrc files exist, Bun will default to https://registry.npmjs.org\n // - No need to pass --registry flag\n log.info(() => ({\n message: \"installing package using Bun's default registry resolution\",\n pkg,\n version,\n }));\n\n // Retry logic for cache-related errors and timeout errors\n let lastError: Error | undefined;\n for (let attempt = 1; attempt <= MAX_RETRIES; attempt++) {\n try {\n await BunProc.run(args, {\n cwd: Global.Path.cache,\n timeout: INSTALL_TIMEOUT_MS, // Use specific timeout for package installation\n });", | |
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| [2026-02-15T08:55:30.365Z] [INFO] { | |
| "type": "assistant", | |
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| "model": "claude-opus-4-5-20251101", | |
| "id": "msg_01AtRK9zLb3hJGjBFxRvJe6Y", | |
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| "text": "Now I understand the issue. The code uses `--exact` which means it stores \"latest\" as the exact version string in package.json, not the resolved version number. This prevents updates.\n\nThe proper fix is:\n1. For `'latest'` version, check if the installed package is stale (e.g., older than 24 hours) and force refresh\n2. Store the actual resolved version instead of \"latest\" to track when updates are needed\n\nLet me implement the fix:" | |
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| "old_string": " export async function install(pkg: string, version = 'latest') {\n const mod = path.join(Global.Path.cache, 'node_modules', pkg);\n\n // Use a write lock to serialize all package installations\n // This prevents race conditions when multiple packages are installed concurrently\n using _ = await Lock.write(INSTALL_LOCK_KEY);\n\n const pkgjson = Bun.file(path.join(Global.Path.cache, 'package.json'));\n const parsed = await pkgjson.json().catch(async () => {\n const result = { dependencies: {} };\n await Bun.write(pkgjson.name!, JSON.stringify(result, null, 2));\n return result;\n });\n if (parsed.dependencies[pkg] === version) return mod;", | |
| "new_string": " /**\n * Staleness threshold for 'latest' version packages (24 hours).\n * Packages installed as 'latest' will be refreshed after this period.\n * This ensures users get updated packages with bug fixes and new features.\n * @see https://github.com/link-assistant/agent/issues/177\n */\n const LATEST_VERSION_STALE_THRESHOLD_MS = 24 * 60 * 60 * 1000;\n\n export async function install(pkg: string, version = 'latest') {\n const mod = path.join(Global.Path.cache, 'node_modules', pkg);\n\n // Use a write lock to serialize all package installations\n // This prevents race conditions when multiple packages are installed concurrently\n using _ = await Lock.write(INSTALL_LOCK_KEY);\n\n const pkgjson = Bun.file(path.join(Global.Path.cache, 'package.json'));\n const parsed = await pkgjson.json().catch(async () => {\n const result = { dependencies: {}, _installTime: {} };\n await Bun.write(pkgjson.name!, JSON.stringify(result, null, 2));\n return result;\n });\n\n // Initialize _installTime tracking if not present\n if (!parsed._installTime) {\n parsed._installTime = {};\n }\n\n // Check if package is already installed with the requested version\n const installedVersion = parsed.dependencies[pkg];\n const installTime = parsed._installTime[pkg] as number | undefined;\n\n if (installedVersion === version) {\n // For 'latest' version, check if installation is stale and needs refresh\n // This ensures users get updated packages with important fixes\n // @see https://github.com/link-assistant/agent/issues/177 (specificationVersion v3 support)\n if (version === 'latest' && installTime) {\n const age = Date.now() - installTime;\n if (age < LATEST_VERSION_STALE_THRESHOLD_MS) {\n return mod;\n }\n log.info(() => ({\n message: 'refreshing stale latest package',\n pkg,\n version,\n ageMs: age,\n threshold: LATEST_VERSION_STALE_THRESHOLD_MS,\n }));\n } else if (version !== 'latest') {\n // For explicit versions, don't reinstall\n return mod;\n }\n }" | |
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| "oldString": " export async function install(pkg: string, version = 'latest') {\n const mod = path.join(Global.Path.cache, 'node_modules', pkg);\n\n // Use a write lock to serialize all package installations\n // This prevents race conditions when multiple packages are installed concurrently\n using _ = await Lock.write(INSTALL_LOCK_KEY);\n\n const pkgjson = Bun.file(path.join(Global.Path.cache, 'package.json'));\n const parsed = await pkgjson.json().catch(async () => {\n const result = { dependencies: {} };\n await Bun.write(pkgjson.name!, JSON.stringify(result, null, 2));\n return result;\n });\n if (parsed.dependencies[pkg] === version) return mod;", | |
| "newString": " /**\n * Staleness threshold for 'latest' version packages (24 hours).\n * Packages installed as 'latest' will be refreshed after this period.\n * This ensures users get updated packages with bug fixes and new features.\n * @see https://github.com/link-assistant/agent/issues/177\n */\n const LATEST_VERSION_STALE_THRESHOLD_MS = 24 * 60 * 60 * 1000;\n\n export async function install(pkg: string, version = 'latest') {\n const mod = path.join(Global.Path.cache, 'node_modules', pkg);\n\n // Use a write lock to serialize all package installations\n // This prevents race conditions when multiple packages are installed concurrently\n using _ = await Lock.write(INSTALL_LOCK_KEY);\n\n const pkgjson = Bun.file(path.join(Global.Path.cache, 'package.json'));\n const parsed = await pkgjson.json().catch(async () => {\n const result = { dependencies: {}, _installTime: {} };\n await Bun.write(pkgjson.name!, JSON.stringify(result, null, 2));\n return result;\n });\n\n // Initialize _installTime tracking if not present\n if (!parsed._installTime) {\n parsed._installTime = {};\n }\n\n // Check if package is already installed with the requested version\n const installedVersion = parsed.dependencies[pkg];\n const installTime = parsed._installTime[pkg] as number | undefined;\n\n if (installedVersion === version) {\n // For 'latest' version, check if installation is stale and needs refresh\n // This ensures users get updated packages with important fixes\n // @see https://github.com/link-assistant/agent/issues/177 (specificationVersion v3 support)\n if (version === 'latest' && installTime) {\n const age = Date.now() - installTime;\n if (age < LATEST_VERSION_STALE_THRESHOLD_MS) {\n return mod;\n }\n log.info(() => ({\n message: 'refreshing stale latest package',\n pkg,\n version,\n ageMs: age,\n threshold: LATEST_VERSION_STALE_THRESHOLD_MS,\n }));\n } else if (version !== 'latest') {\n // For explicit versions, don't reinstall\n return mod;\n }\n }", | |
| "originalFile": "import z from 'zod';\nimport { Global } from '../global';\nimport { Log } from '../util/log';\nimport path from 'path';\nimport { NamedError } from '../util/error';\nimport { readableStreamToText } from 'bun';\nimport { Flag } from '../flag/flag';\nimport { Lock } from '../util/lock';\n\nexport namespace BunProc {\n const log = Log.create({ service: 'bun' });\n\n // Lock key for serializing package installations to prevent race conditions\n const INSTALL_LOCK_KEY = 'bun-install';\n\n // Default timeout for subprocess commands (2 minutes)\n // This prevents indefinite hangs from known Bun issues:\n // - HTTP 304 response handling (https://github.com/oven-sh/bun/issues/5831)\n // - Failed dependency fetch (https://github.com/oven-sh/bun/issues/26341)\n // - IPv6 configuration issues\n const DEFAULT_TIMEOUT_MS = 120000;\n\n // Timeout specifically for package installation (60 seconds)\n // Package installations should complete within this time for typical packages\n const INSTALL_TIMEOUT_MS = 60000;\n\n export const TimeoutError = NamedError.create(\n 'BunTimeoutError',\n z.object({\n cmd: z.array(z.string()),\n timeoutMs: z.number(),\n })\n );\n\n export async function run(\n cmd: string[],\n options?: Bun.SpawnOptions.OptionsObject<any, any, any> & {\n timeout?: number;\n }\n ) {\n const timeout = options?.timeout ?? DEFAULT_TIMEOUT_MS;\n\n log.info(() => ({\n message: 'running',\n cmd: [which(), ...cmd],\n timeout,\n cwd: options?.cwd,\n }));\n\n const result = Bun.spawn([which(), ...cmd], {\n ...options,\n stdout: 'pipe',\n stderr: 'pipe',\n timeout, // Automatically kills process after timeout\n killSignal: 'SIGTERM', // Graceful termination signal\n env: {\n ...process.env,\n ...options?.env,\n BUN_BE_BUN: '1',\n },\n });\n\n const code = await result.exited;\n\n // Check if process was killed due to timeout\n if (result.signalCode === 'SIGTERM' && code !== 0) {\n log.error(() => ({\n message: 'command timed out',\n cmd: [which(), ...cmd],\n timeout,\n signalCode: result.signalCode,\n }));\n throw new TimeoutError({\n cmd: [which(), ...cmd],\n timeoutMs: timeout,\n });\n }\n\n const stdout = result.stdout\n ? typeof result.stdout === 'number'\n ? result.stdout\n : await readableStreamToText(result.stdout)\n : undefined;\n const stderr = result.stderr\n ? typeof result.stderr === 'number'\n ? result.stderr\n : await readableStreamToText(result.stderr)\n : undefined;\n log.info(() => ({ message: 'done', code, stdout, stderr }));\n if (code !== 0) {\n const parts = [`Command failed with exit code ${result.exitCode}`];\n if (stderr) parts.push(`stderr: ${stderr}`);\n if (stdout) parts.push(`stdout: ${stdout}`);\n throw new Error(parts.join('\\n'));\n }\n return result;\n }\n\n export function which() {\n return process.execPath;\n }\n\n export const InstallFailedError = NamedError.create(\n 'BunInstallFailedError',\n z.object({\n pkg: z.string(),\n version: z.string(),\n details: z.string().optional(),\n })\n );\n\n // Maximum number of retry attempts for cache-related errors\n const MAX_RETRIES = 3;\n // Delay between retries in milliseconds\n const RETRY_DELAY_MS = 500;\n\n /**\n * Check if an error is related to Bun cache issues\n */\n function isCacheRelatedError(errorMsg: string): boolean {\n return (\n errorMsg.includes('failed copying files from cache') ||\n errorMsg.includes('FileNotFound') ||\n errorMsg.includes('ENOENT') ||\n errorMsg.includes('EACCES') ||\n errorMsg.includes('EBUSY')\n );\n }\n\n /**\n * Check if an error is a timeout error\n */\n function isTimeoutError(error: unknown): boolean {\n return error instanceof TimeoutError;\n }\n\n /**\n * Wait for a specified duration\n */\n function delay(ms: number): Promise<void> {\n return new Promise((resolve) => setTimeout(resolve, ms));\n }\n\n export async function install(pkg: string, version = 'latest') {\n const mod = path.join(Global.Path.cache, 'node_modules', pkg);\n\n // Use a write lock to serialize all package installations\n // This prevents race conditions when multiple packages are installed concurrently\n using _ = await Lock.write(INSTALL_LOCK_KEY);\n\n const pkgjson = Bun.file(path.join(Global.Path.cache, 'package.json'));\n const parsed = await pkgjson.json().catch(async () => {\n const result = { dependencies: {} };\n await Bun.write(pkgjson.name!, JSON.stringify(result, null, 2));\n return result;\n });\n if (parsed.dependencies[pkg] === version) return mod;\n\n // Check for dry-run mode\n if (Flag.OPENCODE_DRY_RUN) {\n log.info(() => ({\n message:\n '[DRY RUN] Would install package (skipping actual installation)',\n pkg,\n version,\n targetPath: mod,\n }));\n // In dry-run mode, pretend the package is installed\n return mod;\n }\n\n // Build command arguments\n const args = [\n 'add',\n '--force',\n '--exact',\n '--cwd',\n Global.Path.cache,\n pkg + '@' + version,\n ];\n\n // Let Bun handle registry resolution:\n // - If .npmrc files exist, Bun will use them automatically\n // - If no .npmrc files exist, Bun will default to https://registry.npmjs.org\n // - No need to pass --registry flag\n log.info(() => ({\n message: \"installing package using Bun's default registry resolution\",\n pkg,\n version,\n }));\n\n // Retry logic for cache-related errors and timeout errors\n let lastError: Error | undefined;\n for (let attempt = 1; attempt <= MAX_RETRIES; attempt++) {\n try {\n await BunProc.run(args, {\n cwd: Global.Path.cache,\n timeout: INSTALL_TIMEOUT_MS, // Use specific timeout for package installation\n });\n\n log.info(() => ({\n message: 'package installed successfully',\n pkg,\n version,\n attempt,\n }));\n parsed.dependencies[pkg] = version;\n await Bun.write(pkgjson.name!, JSON.stringify(parsed, null, 2));\n return mod;\n } catch (e) {\n const errorMsg = e instanceof Error ? e.message : String(e);\n const isCacheError = isCacheRelatedError(errorMsg);\n const isTimeout = isTimeoutError(e);\n\n log.warn(() => ({\n message: 'package installation attempt failed',\n pkg,\n version,\n attempt,\n maxRetries: MAX_RETRIES,\n error: errorMsg,\n isCacheError,\n isTimeout,\n }));\n\n // Retry on cache-related errors or timeout errors\n if ((isCacheError || isTimeout) && attempt < MAX_RETRIES) {\n log.info(() => ({\n message: isTimeout\n ? 'retrying installation after timeout (possible network issue)'\n : 'retrying installation after cache-related error',\n pkg,\n version,\n attempt,\n nextAttempt: attempt + 1,\n delayMs: RETRY_DELAY_MS,\n }));\n await delay(RETRY_DELAY_MS);\n lastError = e instanceof Error ? e : new Error(errorMsg);\n continue;\n }\n\n // Non-retriable error or final attempt - log and throw\n log.error(() => ({\n message: 'package installation failed',\n pkg,\n version,\n error: errorMsg,\n stack: e instanceof Error ? e.stack : undefined,\n possibleCacheCorruption: isCacheError,\n timedOut: isTimeout,\n attempts: attempt,\n }));\n\n // Provide helpful recovery instructions\n if (isCacheError) {\n log.error(() => ({\n message:\n 'Bun package cache may be corrupted. Try clearing the cache with: bun pm cache rm',\n }));\n }\n\n if (isTimeout) {\n log.error(() => ({\n message:\n 'Package installation timed out. This may be due to network issues or Bun hanging. ' +\n 'Try: 1) Check network connectivity, 2) Run \"bun pm cache rm\" to clear cache, ' +\n '3) Check for IPv6 issues (try disabling IPv6)',\n }));\n }\n\n throw new InstallFailedError(\n { pkg, version, details: errorMsg },\n {\n cause: e,\n }\n );\n }\n }\n\n // This should not be reached, but handle it just in case\n throw new InstallFailedError(\n {\n pkg,\n version,\n details: lastError?.message ?? 'Installation failed after all retries',\n },\n { cause: lastError }\n );\n }\n}\n", | |
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| " return new Promise((resolve) => setTimeout(resolve, ms));", | |
| " }", | |
| " ", | |
| "+ /**", | |
| "+ * Staleness threshold for 'latest' version packages (24 hours).", | |
| "+ * Packages installed as 'latest' will be refreshed after this period.", | |
| "+ * This ensures users get updated packages with bug fixes and new features.", | |
| "+ * @see https://github.com/link-assistant/agent/issues/177", | |
| "+ */", | |
| "+ const LATEST_VERSION_STALE_THRESHOLD_MS = 24 * 60 * 60 * 1000;", | |
| "+", | |
| " export async function install(pkg: string, version = 'latest') {", | |
| " const mod = path.join(Global.Path.cache, 'node_modules', pkg);", | |
| " " | |
| ] | |
| }, | |
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| " ", | |
| " const pkgjson = Bun.file(path.join(Global.Path.cache, 'package.json'));", | |
| " const parsed = await pkgjson.json().catch(async () => {", | |
| "- const result = { dependencies: {} };", | |
| "+ const result = { dependencies: {}, _installTime: {} };", | |
| " await Bun.write(pkgjson.name!, JSON.stringify(result, null, 2));", | |
| " return result;", | |
| " });", | |
| "- if (parsed.dependencies[pkg] === version) return mod;", | |
| " ", | |
| "+ // Initialize _installTime tracking if not present", | |
| "+ if (!parsed._installTime) {", | |
| "+ parsed._installTime = {};", | |
| "+ }", | |
| "+", | |
| "+ // Check if package is already installed with the requested version", | |
| "+ const installedVersion = parsed.dependencies[pkg];", | |
| "+ const installTime = parsed._installTime[pkg] as number | undefined;", | |
| "+", | |
| "+ if (installedVersion === version) {", | |
| "+ // For 'latest' version, check if installation is stale and needs refresh", | |
| "+ // This ensures users get updated packages with important fixes", | |
| "+ // @see https://github.com/link-assistant/agent/issues/177 (specificationVersion v3 support)", | |
| "+ if (version === 'latest' && installTime) {", | |
| "+ const age = Date.now() - installTime;", | |
| "+ if (age < LATEST_VERSION_STALE_THRESHOLD_MS) {", | |
| "+ return mod;", | |
| "+ }", | |
| "+ log.info(() => ({", | |
| "+ message: 'refreshing stale latest package',", | |
| "+ pkg,", | |
| "+ version,", | |
| "+ ageMs: age,", | |
| "+ threshold: LATEST_VERSION_STALE_THRESHOLD_MS,", | |
| "+ }));", | |
| "+ } else if (version !== 'latest') {", | |
| "+ // For explicit versions, don't reinstall", | |
| "+ return mod;", | |
| "+ }", | |
| "+ }", | |
| "+", | |
| " // Check for dry-run mode", | |
| " if (Flag.OPENCODE_DRY_RUN) {", | |
| " log.info(() => ({" | |
| ] | |
| } | |
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| "originalFile": "import z from 'zod';\nimport { Global } from '../global';\nimport { Log } from '../util/log';\nimport path from 'path';\nimport { NamedError } from '../util/error';\nimport { readableStreamToText } from 'bun';\nimport { Flag } from '../flag/flag';\nimport { Lock } from '../util/lock';\n\nexport namespace BunProc {\n const log = Log.create({ service: 'bun' });\n\n // Lock key for serializing package installations to prevent race conditions\n const INSTALL_LOCK_KEY = 'bun-install';\n\n // Default timeout for subprocess commands (2 minutes)\n // This prevents indefinite hangs from known Bun issues:\n // - HTTP 304 response handling (https://github.com/oven-sh/bun/issues/5831)\n // - Failed dependency fetch (https://github.com/oven-sh/bun/issues/26341)\n // - IPv6 configuration issues\n const DEFAULT_TIMEOUT_MS = 120000;\n\n // Timeout specifically for package installation (60 seconds)\n // Package installations should complete within this time for typical packages\n const INSTALL_TIMEOUT_MS = 60000;\n\n export const TimeoutError = NamedError.create(\n 'BunTimeoutError',\n z.object({\n cmd: z.array(z.string()),\n timeoutMs: z.number(),\n })\n );\n\n export async function run(\n cmd: string[],\n options?: Bun.SpawnOptions.OptionsObject<any, any, any> & {\n timeout?: number;\n }\n ) {\n const timeout = options?.timeout ?? 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' +\n 'Try: 1) Check network connectivity, 2) Run \"bun pm cache rm\" to clear cache, ' +\n '3) Check for IPv6 issues (try disabling IPv6)',\n }));\n }\n\n throw new InstallFailedError(\n { pkg, version, details: errorMsg },\n {\n cause: e,\n }\n );\n }\n }\n\n // This should not be reached, but handle it just in case\n throw new InstallFailedError(\n {\n pkg,\n version,\n details: lastError?.message ?? 'Installation failed after all retries',\n },\n { cause: lastError }\n );\n }\n}\n", | |
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| "content": " 1→# Case Study: Issue #177 - Fixing CLI Warnings\n 2→\n 3→**Issue:** [#177 - Can we fix warnings?](https://github.com/link-assistant/agent/issues/177)\n 4→**Status:** Resolved\n 5→**Date:** 2026-02-15\n 6→**PR:** [#178](https://github.com/link-assistant/agent/pull/178)\n 7→\n 8→## Executive Summary\n 9→\n 10→The Agent CLI outputs several warnings during normal operation that should be addressed to ensure highest possible reliability. This case study analyzes three distinct warnings found in the user's execution log and proposes solutions.\n 11→\n 12→## Warnings Identified\n 13→\n 14→### Warning 1: models.dev Cache Read Failure\n 15→\n 16→**Log Entry:**\n 17→```json\n 18→{\n 19→ \"type\": \"log\",\n 20→ \"level\": \"warn\",\n 21→ \"timestamp\": \"2026-02-15T08:22:25.204Z\",\n 22→ \"service\": \"models.dev\",\n 23→ \"path\": \"/Users/konard/.cache/link-assistant-agent/models.json\",\n 24→ \"message\": \"cache read failed, using bundled data\"\n 25→}\n 26→```\n 27→\n 28→**Root Cause:**\n 29→The cache file exists but fails to be read as JSON after refresh attempt. This happens because:\n 30→1. The cache is marked as stale (age: 42809773ms > threshold: 3600000ms)\n 31→2. `refresh()` is awaited but the fetch may fail silently or write invalid content\n 32→3. Subsequent `file.json().catch(() => {})` returns undefined, triggering the warning\n 33→\n 34→**Impact:** Low - Falls back to bundled data, but indicates potential cache corruption or network issues.\n 35→\n 36→---\n 37→\n 38→### Warning 2: AI SDK Warning System Notice\n 39→\n 40→**Log Entry:**\n 41→```\n 42→AI SDK Warning System: To turn off warning logging, set the AI_SDK_LOG_WARNINGS global to false.\n 43→```\n 44→\n 45→**Root Cause:**\n 46→This is an informational message from Vercel's AI SDK that appears the first time any warning is logged. It's part of the warning infrastructure added in [vercel/ai#8343](https://github.com/vercel/ai/pull/8343).\n 47→\n 48→**Impact:** Very Low - This is purely informational and appears only once per session.\n 49→\n 50→---\n 51→\n 52→### Warning 3: AI SDK specificationVersion Compatibility Mode\n 53→\n 54→**Log Entry:**\n 55→```\n 56→AI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \"specificationVersion\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\n 57→```\n 58→\n 59→**Root Cause:**\n 60→The AI SDK v6 uses `specificationVersion: 'v3'` but the OpenCode provider (`@ai-sdk/openai-compatible`) returns a model using the older `v2` specification. This triggers a compatibility warning added in [vercel/ai#10770](https://github.com/vercel/ai/pull/10770).\n 61→\n 62→**Technical Details:**\n 63→- AI SDK 6.x expects `specificationVersion: 'v3'`\n 64→- The `@ai-sdk/openai-compatible` provider package implements `specificationVersion: 'v2'`\n 65→- SDK runs v2 models in compatibility mode, triggering this warning\n 66→- The warning appears for each model instantiation (appears twice in the log)\n 67→\n 68→**Impact:** Medium - While functionality works via compatibility mode, some v3 features may not be available.\n 69→\n 70→## Timeline of Events\n 71→\n 72→| Timestamp | Event |\n 73→|-----------|-------|\n 74→| 08:22:25.079Z | Agent CLI started |\n 75→| 08:22:25.092Z | models.dev cache detected as stale (age: 42809773ms) |\n 76→| 08:22:25.092Z | Cache refresh initiated |\n 77→| 08:22:25.204Z | **Warning 1**: Cache read failed |\n 78→| 08:22:25.338Z | AI SDK streamText called |\n 79→| 08:22:25.340Z | **Warning 2**: AI SDK Warning System notice |\n 80→| 08:22:25.340Z | **Warning 3**: specificationVersion v2 compatibility mode |\n 81→| 08:22:29.307Z | Second streamText call (loop step 1) |\n 82→| 08:22:29.308Z | **Warning 3 again**: specificationVersion v2 compatibility mode |\n 83→| 08:22:29.316Z | Agent disposed |\n 84→\n 85→## Root Cause Analysis\n 86→\n 87→### Warning 1: Cache Read Failure\n 88→\n 89→**Code Location:** `js/src/provider/models.ts:130-139`\n 90→\n 91→```typescript\n 92→// Now read the cache file\n 93→const result = await file.json().catch(() => {});\n 94→if (result) return result as Record<string, Provider>;\n 95→\n 96→// Fallback to bundled data if cache read failed\n 97→log.warn(() => ({\n 98→ message: 'cache read failed, using bundled data',\n 99→ path: filepath,\n 100→}));\n 101→```\n 102→\n 103→**Issue:** The `refresh()` function doesn't guarantee a valid cache file exists after it returns. The `fetch` may fail silently, or the file may be corrupted.\n 104→\n 105→### Warning 2: AI SDK Warning System Notice\n 106→\n 107→**Code Location:** External - Vercel AI SDK `ai` package\n 108→\n 109→This warning is logged the first time the AI SDK logs any warning. It's informational to help users understand they can disable warnings.\n 110→\n 111→### Warning 3: specificationVersion Compatibility Mode\n 112→\n 113→**Code Location:** External - `@ai-sdk/openai-compatible` package\n 114→\n 115→The warning is triggered because:\n 116→1. AI SDK 6.x expects models to implement `specificationVersion: 'v3'`\n 117→2. `@ai-sdk/openai-compatible` still implements `specificationVersion: 'v2'`\n 118→3. The SDK detects this mismatch and logs a warning\n 119→\n 120→## Proposed Solutions\n 121→\n 122→### Solution 1: Suppress Cache Warning (Internal)\n 123→\n 124→**Approach:** Change the log level from `warn` to `info` since falling back to bundled data is expected behavior when cache is unavailable.\n 125→\n 126→**Pros:**\n 127→- Simple change\n 128→- No external dependencies\n 129→- Bundled data fallback is a valid fallback mechanism\n 130→\n 131→**Cons:**\n 132→- Doesn't fix the underlying cache read issue\n 133→\n 134→### Solution 2: Fix Cache Write/Read Race Condition (Internal)\n 135→\n 136→**Approach:** Ensure cache file is valid JSON before completing refresh.\n 137→\n 138→**Pros:**\n 139→- Fixes root cause\n 140→- Prevents future cache corruption issues\n 141→\n 142→**Cons:**\n 143→- More complex implementation\n 144→\n 145→### Solution 3: Suppress AI SDK Warnings (Internal)\n 146→\n 147→**Approach:** Set `globalThis.AI_SDK_LOG_WARNINGS = false` at startup.\n 148→\n 149→**Pros:**\n 150→- Simple one-line fix\n 151→- Removes all AI SDK warning noise\n 152→\n 153→**Cons:**\n 154→- May hide legitimate warnings\n 155→- Should be configurable rather than always suppressed\n 156→\n 157→### Solution 4: Report Issue to Vercel AI SDK (External)\n 158→\n 159→**Approach:** File an issue to request `@ai-sdk/openai-compatible` be updated to v3 specification.\n 160→\n 161→**Pros:**\n 162→- Fixes root cause upstream\n 163→- Benefits all users of the package\n 164→\n 165→**Cons:**\n 166→- Dependent on external timeline\n 167→- May take time to be released\n 168→\n 169→## Recommended Implementation\n 170→\n 171→1. **Immediate:** Suppress AI SDK warnings via environment variable or global flag\n 172→2. **Short-term:** Improve cache error handling with better fallback messaging\n 173→3. **Long-term:** File issue with Vercel AI SDK for specificationVersion upgrade\n 174→\n 175→## Related Resources\n 176→\n 177→- [AI SDK Migration Guide 5.x to 6.0](https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0)\n 178→- [AI SDK Issue #10689: Warn when using v2 models](https://github.com/vercel/ai/issues/10689)\n 179→- [AI SDK Issue #8329: Log warnings to console](https://github.com/vercel/ai/issues/8329)\n 180→- [AI SDK Custom Providers Guide](https://ai-sdk.dev/providers/community-providers/custom-providers)\n 181→\n 182→## Filed Issues\n 183→\n 184→| Repository | Issue | Description | Status |\n 185→|------------|-------|-------------|--------|\n 186→| vercel/ai | [#12615](https://github.com/vercel/ai/issues/12615) | @ai-sdk/openai-compatible v3 upgrade | Filed |\n 187→\n 188→## Implementation (PR #178)\n 189→\n 190→The following changes were implemented to fix the warnings:\n 191→\n 192→### 1. AI SDK Warning Suppression (`js/src/flag/flag.ts`)\n 193→\n 194→Added `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default:\n 195→\n 196→```typescript\n 197→export function initAISDKWarnings(): void {\n 198→ const enableWarnings = truthy('AGENT_ENABLE_AI_SDK_WARNINGS');\n 199→ if (!enableWarnings && (globalThis as any).AI_SDK_LOG_WARNINGS === undefined) {\n 200→ (globalThis as any).AI_SDK_LOG_WARNINGS = false;\n 201→ }\n 202→}\n 203→```\n 204→\n 205→Users can re-enable warnings by setting `AGENT_ENABLE_AI_SDK_WARNINGS=true`.\n 206→\n 207→### 2. Early Initialization (`js/src/index.js`)\n 208→\n 209→Call `Flag.initAISDKWarnings()` at the very start of the CLI, before any AI SDK imports:\n 210→\n 211→```javascript\n 212→import { Flag } from './flag/flag.ts';\n 213→\n 214→// Initialize AI SDK warning suppression early\n 215→Flag.initAISDKWarnings();\n 216→```\n 217→\n 218→### 3. Cache Warning Level Change (`js/src/provider/models.ts`)\n 219→\n 220→Changed the cache fallback message from `warn` to `info` level since using bundled data is expected behavior:\n 221→\n 222→```typescript\n 223→log.info(() => ({\n 224→ message: 'cache unavailable, using bundled data',\n 225→ path: filepath,\n 226→}));\n 227→```\n 228→\n 229→## Implementation Notes\n 230→\n 231→The Agent CLI uses AI SDK v6.0.1 (`\"ai\": \"^6.0.1\"` in package.json). The specificationVersion warning comes from the dynamically installed `@ai-sdk/openai-compatible` package which is used by OpenCode provider.\n 232→\n 233→The echo and cache providers already correctly implement `specificationVersion: 'v2'` in their model implementations, but since they are internal synthetic providers, they don't trigger the external warning.\n 234→\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: Issue #177 - Fixing CLI Warnings\n\n**Issue:** [#177 - Can we fix warnings?](https://github.com/link-assistant/agent/issues/177)\n**Status:** Resolved\n**Date:** 2026-02-15\n**PR:** [#178](https://github.com/link-assistant/agent/pull/178)\n\n## Executive Summary\n\nThe Agent CLI outputs several warnings during normal operation that should be addressed to ensure highest possible reliability. This case study analyzes three distinct warnings found in the user's execution log and proposes solutions.\n\n## Warnings Identified\n\n### Warning 1: models.dev Cache Read Failure\n\n**Log Entry:**\n```json\n{\n \"type\": \"log\",\n \"level\": \"warn\",\n \"timestamp\": \"2026-02-15T08:22:25.204Z\",\n \"service\": \"models.dev\",\n \"path\": \"/Users/konard/.cache/link-assistant-agent/models.json\",\n \"message\": \"cache read failed, using bundled data\"\n}\n```\n\n**Root Cause:**\nThe cache file exists but fails to be read as JSON after refresh attempt. This happens because:\n1. The cache is marked as stale (age: 42809773ms > threshold: 3600000ms)\n2. `refresh()` is awaited but the fetch may fail silently or write invalid content\n3. Subsequent `file.json().catch(() => {})` returns undefined, triggering the warning\n\n**Impact:** Low - Falls back to bundled data, but indicates potential cache corruption or network issues.\n\n---\n\n### Warning 2: AI SDK Warning System Notice\n\n**Log Entry:**\n```\nAI SDK Warning System: To turn off warning logging, set the AI_SDK_LOG_WARNINGS global to false.\n```\n\n**Root Cause:**\nThis is an informational message from Vercel's AI SDK that appears the first time any warning is logged. It's part of the warning infrastructure added in [vercel/ai#8343](https://github.com/vercel/ai/pull/8343).\n\n**Impact:** Very Low - This is purely informational and appears only once per session.\n\n---\n\n### Warning 3: AI SDK specificationVersion Compatibility Mode\n\n**Log Entry:**\n```\nAI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \"specificationVersion\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\n```\n\n**Root Cause:**\nThe AI SDK v6 uses `specificationVersion: 'v3'` but the OpenCode provider (`@ai-sdk/openai-compatible`) returns a model using the older `v2` specification. This triggers a compatibility warning added in [vercel/ai#10770](https://github.com/vercel/ai/pull/10770).\n\n**Technical Details:**\n- AI SDK 6.x expects `specificationVersion: 'v3'`\n- The `@ai-sdk/openai-compatible` provider package implements `specificationVersion: 'v2'`\n- SDK runs v2 models in compatibility mode, triggering this warning\n- The warning appears for each model instantiation (appears twice in the log)\n\n**Impact:** Medium - While functionality works via compatibility mode, some v3 features may not be available.\n\n## Timeline of Events\n\n| Timestamp | Event |\n|-----------|-------|\n| 08:22:25.079Z | Agent CLI started |\n| 08:22:25.092Z | models.dev cache detected as stale (age: 42809773ms) |\n| 08:22:25.092Z | Cache refresh initiated |\n| 08:22:25.204Z | **Warning 1**: Cache read failed |\n| 08:22:25.338Z | AI SDK streamText called |\n| 08:22:25.340Z | **Warning 2**: AI SDK Warning System notice |\n| 08:22:25.340Z | **Warning 3**: specificationVersion v2 compatibility mode |\n| 08:22:29.307Z | Second streamText call (loop step 1) |\n| 08:22:29.308Z | **Warning 3 again**: specificationVersion v2 compatibility mode |\n| 08:22:29.316Z | Agent disposed |\n\n## Root Cause Analysis\n\n### Warning 1: Cache Read Failure\n\n**Code Location:** `js/src/provider/models.ts:130-139`\n\n```typescript\n// Now read the cache file\nconst result = await file.json().catch(() => {});\nif (result) return result as Record<string, Provider>;\n\n// Fallback to bundled data if cache read failed\nlog.warn(() => ({\n message: 'cache read failed, using bundled data',\n path: filepath,\n}));\n```\n\n**Issue:** The `refresh()` function doesn't guarantee a valid cache file exists after it returns. The `fetch` may fail silently, or the file may be corrupted.\n\n### Warning 2: AI SDK Warning System Notice\n\n**Code Location:** External - Vercel AI SDK `ai` package\n\nThis warning is logged the first time the AI SDK logs any warning. It's informational to help users understand they can disable warnings.\n\n### Warning 3: specificationVersion Compatibility Mode\n\n**Code Location:** External - `@ai-sdk/openai-compatible` package\n\nThe warning is triggered because:\n1. AI SDK 6.x expects models to implement `specificationVersion: 'v3'`\n2. `@ai-sdk/openai-compatible` still implements `specificationVersion: 'v2'`\n3. The SDK detects this mismatch and logs a warning\n\n## Proposed Solutions\n\n### Solution 1: Suppress Cache Warning (Internal)\n\n**Approach:** Change the log level from `warn` to `info` since falling back to bundled data is expected behavior when cache is unavailable.\n\n**Pros:**\n- Simple change\n- No external dependencies\n- Bundled data fallback is a valid fallback mechanism\n\n**Cons:**\n- Doesn't fix the underlying cache read issue\n\n### Solution 2: Fix Cache Write/Read Race Condition (Internal)\n\n**Approach:** Ensure cache file is valid JSON before completing refresh.\n\n**Pros:**\n- Fixes root cause\n- Prevents future cache corruption issues\n\n**Cons:**\n- More complex implementation\n\n### Solution 3: Suppress AI SDK Warnings (Internal)\n\n**Approach:** Set `globalThis.AI_SDK_LOG_WARNINGS = false` at startup.\n\n**Pros:**\n- Simple one-line fix\n- Removes all AI SDK warning noise\n\n**Cons:**\n- May hide legitimate warnings\n- Should be configurable rather than always suppressed\n\n### Solution 4: Report Issue to Vercel AI SDK (External)\n\n**Approach:** File an issue to request `@ai-sdk/openai-compatible` be updated to v3 specification.\n\n**Pros:**\n- Fixes root cause upstream\n- Benefits all users of the package\n\n**Cons:**\n- Dependent on external timeline\n- May take time to be released\n\n## Recommended Implementation\n\n1. **Immediate:** Suppress AI SDK warnings via environment variable or global flag\n2. **Short-term:** Improve cache error handling with better fallback messaging\n3. **Long-term:** File issue with Vercel AI SDK for specificationVersion upgrade\n\n## Related Resources\n\n- [AI SDK Migration Guide 5.x to 6.0](https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0)\n- [AI SDK Issue #10689: Warn when using v2 models](https://github.com/vercel/ai/issues/10689)\n- [AI SDK Issue #8329: Log warnings to console](https://github.com/vercel/ai/issues/8329)\n- [AI SDK Custom Providers Guide](https://ai-sdk.dev/providers/community-providers/custom-providers)\n\n## Filed Issues\n\n| Repository | Issue | Description | Status |\n|------------|-------|-------------|--------|\n| vercel/ai | [#12615](https://github.com/vercel/ai/issues/12615) | @ai-sdk/openai-compatible v3 upgrade | Filed |\n\n## Implementation (PR #178)\n\nThe following changes were implemented to fix the warnings:\n\n### 1. AI SDK Warning Suppression (`js/src/flag/flag.ts`)\n\nAdded `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default:\n\n```typescript\nexport function initAISDKWarnings(): void {\n const enableWarnings = truthy('AGENT_ENABLE_AI_SDK_WARNINGS');\n if (!enableWarnings && (globalThis as any).AI_SDK_LOG_WARNINGS === undefined) {\n (globalThis as any).AI_SDK_LOG_WARNINGS = false;\n }\n}\n```\n\nUsers can re-enable warnings by setting `AGENT_ENABLE_AI_SDK_WARNINGS=true`.\n\n### 2. Early Initialization (`js/src/index.js`)\n\nCall `Flag.initAISDKWarnings()` at the very start of the CLI, before any AI SDK imports:\n\n```javascript\nimport { Flag } from './flag/flag.ts';\n\n// Initialize AI SDK warning suppression early\nFlag.initAISDKWarnings();\n```\n\n### 3. Cache Warning Level Change (`js/src/provider/models.ts`)\n\nChanged the cache fallback message from `warn` to `info` level since using bundled data is expected behavior:\n\n```typescript\nlog.info(() => ({\n message: 'cache unavailable, using bundled data',\n path: filepath,\n}));\n```\n\n## Implementation Notes\n\nThe Agent CLI uses AI SDK v6.0.1 (`\"ai\": \"^6.0.1\"` in package.json). The specificationVersion warning comes from the dynamically installed `@ai-sdk/openai-compatible` package which is used by OpenCode provider.\n\nThe echo and cache providers already correctly implement `specificationVersion: 'v2'` in their model implementations, but since they are internal synthetic providers, they don't trigger the external warning.\n", | |
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| "oldString": "### Warning 3: AI SDK specificationVersion Compatibility Mode\n\n**Log Entry:**\n```\nAI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \"specificationVersion\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\n```\n\n**Root Cause:**\nThe AI SDK v6 uses `specificationVersion: 'v3'` but the OpenCode provider (`@ai-sdk/openai-compatible`) returns a model using the older `v2` specification. This triggers a compatibility warning added in [vercel/ai#10770](https://github.com/vercel/ai/pull/10770).\n\n**Technical Details:**\n- AI SDK 6.x expects `specificationVersion: 'v3'`\n- The `@ai-sdk/openai-compatible` provider package implements `specificationVersion: 'v2'`\n- SDK runs v2 models in compatibility mode, triggering this warning\n- The warning appears for each model instantiation (appears twice in the log)\n\n**Impact:** Medium - While functionality works via compatibility mode, some v3 features may not be available.", | |
| "newString": "### Warning 3: AI SDK specificationVersion Compatibility Mode\n\n**Log Entry:**\n```\nAI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \"specificationVersion\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\n```\n\n**Root Cause Analysis (Updated 2026-02-15):**\n\nAfter deep investigation, the **actual root cause** was discovered:\n\n1. The upstream `@ai-sdk/openai-compatible` package **already supports v3** - I verified the current source code shows `specificationVersion = 'v3'` (v2.x releases).\n2. However, users who installed the CLI when v1.x was \"latest\" have an **outdated cached version** because `BunProc.install()` with `'latest'` doesn't update if `package.json` already has `\"latest\"` as the version string.\n3. The warning appears because the cached v1.x package implements `specificationVersion: 'v2'`.\n\n**Technical Details:**\n- AI SDK 6.x expects `specificationVersion: 'v3'`\n- `@ai-sdk/openai-compatible` v2.x implements `specificationVersion: 'v3'` (FIXED UPSTREAM)\n- `@ai-sdk/openai-compatible` v1.x implements `specificationVersion: 'v2'` (OLD)\n- SDK runs v2 models in compatibility mode, triggering this warning\n- The warning appears for each model instantiation (appears twice in the log)\n\n**Impact:** Medium - While functionality works via compatibility mode, some v3 features may not be available.", | |
| "originalFile": "# Case Study: Issue #177 - Fixing CLI Warnings\n\n**Issue:** [#177 - Can we fix warnings?](https://github.com/link-assistant/agent/issues/177)\n**Status:** Resolved\n**Date:** 2026-02-15\n**PR:** [#178](https://github.com/link-assistant/agent/pull/178)\n\n## Executive Summary\n\nThe Agent CLI outputs several warnings during normal operation that should be addressed to ensure highest possible reliability. This case study analyzes three distinct warnings found in the user's execution log and proposes solutions.\n\n## Warnings Identified\n\n### Warning 1: models.dev Cache Read Failure\n\n**Log Entry:**\n```json\n{\n \"type\": \"log\",\n \"level\": \"warn\",\n \"timestamp\": \"2026-02-15T08:22:25.204Z\",\n \"service\": \"models.dev\",\n \"path\": \"/Users/konard/.cache/link-assistant-agent/models.json\",\n \"message\": \"cache read failed, using bundled data\"\n}\n```\n\n**Root Cause:**\nThe cache file exists but fails to be read as JSON after refresh attempt. This happens because:\n1. The cache is marked as stale (age: 42809773ms > threshold: 3600000ms)\n2. `refresh()` is awaited but the fetch may fail silently or write invalid content\n3. Subsequent `file.json().catch(() => {})` returns undefined, triggering the warning\n\n**Impact:** Low - Falls back to bundled data, but indicates potential cache corruption or network issues.\n\n---\n\n### Warning 2: AI SDK Warning System Notice\n\n**Log Entry:**\n```\nAI SDK Warning System: To turn off warning logging, set the AI_SDK_LOG_WARNINGS global to false.\n```\n\n**Root Cause:**\nThis is an informational message from Vercel's AI SDK that appears the first time any warning is logged. It's part of the warning infrastructure added in [vercel/ai#8343](https://github.com/vercel/ai/pull/8343).\n\n**Impact:** Very Low - This is purely informational and appears only once per session.\n\n---\n\n### Warning 3: AI SDK specificationVersion Compatibility Mode\n\n**Log Entry:**\n```\nAI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \"specificationVersion\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\n```\n\n**Root Cause:**\nThe AI SDK v6 uses `specificationVersion: 'v3'` but the OpenCode provider (`@ai-sdk/openai-compatible`) returns a model using the older `v2` specification. This triggers a compatibility warning added in [vercel/ai#10770](https://github.com/vercel/ai/pull/10770).\n\n**Technical Details:**\n- AI SDK 6.x expects `specificationVersion: 'v3'`\n- The `@ai-sdk/openai-compatible` provider package implements `specificationVersion: 'v2'`\n- SDK runs v2 models in compatibility mode, triggering this warning\n- The warning appears for each model instantiation (appears twice in the log)\n\n**Impact:** Medium - While functionality works via compatibility mode, some v3 features may not be available.\n\n## Timeline of Events\n\n| Timestamp | Event |\n|-----------|-------|\n| 08:22:25.079Z | Agent CLI started |\n| 08:22:25.092Z | models.dev cache detected as stale (age: 42809773ms) |\n| 08:22:25.092Z | Cache refresh initiated |\n| 08:22:25.204Z | **Warning 1**: Cache read failed |\n| 08:22:25.338Z | AI SDK streamText called |\n| 08:22:25.340Z | **Warning 2**: AI SDK Warning System notice |\n| 08:22:25.340Z | **Warning 3**: specificationVersion v2 compatibility mode |\n| 08:22:29.307Z | Second streamText call (loop step 1) |\n| 08:22:29.308Z | **Warning 3 again**: specificationVersion v2 compatibility mode |\n| 08:22:29.316Z | Agent disposed |\n\n## Root Cause Analysis\n\n### Warning 1: Cache Read Failure\n\n**Code Location:** `js/src/provider/models.ts:130-139`\n\n```typescript\n// Now read the cache file\nconst result = await file.json().catch(() => {});\nif (result) return result as Record<string, Provider>;\n\n// Fallback to bundled data if cache read failed\nlog.warn(() => ({\n message: 'cache read failed, using bundled data',\n path: filepath,\n}));\n```\n\n**Issue:** The `refresh()` function doesn't guarantee a valid cache file exists after it returns. The `fetch` may fail silently, or the file may be corrupted.\n\n### Warning 2: AI SDK Warning System Notice\n\n**Code Location:** External - Vercel AI SDK `ai` package\n\nThis warning is logged the first time the AI SDK logs any warning. It's informational to help users understand they can disable warnings.\n\n### Warning 3: specificationVersion Compatibility Mode\n\n**Code Location:** External - `@ai-sdk/openai-compatible` package\n\nThe warning is triggered because:\n1. AI SDK 6.x expects models to implement `specificationVersion: 'v3'`\n2. `@ai-sdk/openai-compatible` still implements `specificationVersion: 'v2'`\n3. The SDK detects this mismatch and logs a warning\n\n## Proposed Solutions\n\n### Solution 1: Suppress Cache Warning (Internal)\n\n**Approach:** Change the log level from `warn` to `info` since falling back to bundled data is expected behavior when cache is unavailable.\n\n**Pros:**\n- Simple change\n- No external dependencies\n- Bundled data fallback is a valid fallback mechanism\n\n**Cons:**\n- Doesn't fix the underlying cache read issue\n\n### Solution 2: Fix Cache Write/Read Race Condition (Internal)\n\n**Approach:** Ensure cache file is valid JSON before completing refresh.\n\n**Pros:**\n- Fixes root cause\n- Prevents future cache corruption issues\n\n**Cons:**\n- More complex implementation\n\n### Solution 3: Suppress AI SDK Warnings (Internal)\n\n**Approach:** Set `globalThis.AI_SDK_LOG_WARNINGS = false` at startup.\n\n**Pros:**\n- Simple one-line fix\n- Removes all AI SDK warning noise\n\n**Cons:**\n- May hide legitimate warnings\n- Should be configurable rather than always suppressed\n\n### Solution 4: Report Issue to Vercel AI SDK (External)\n\n**Approach:** File an issue to request `@ai-sdk/openai-compatible` be updated to v3 specification.\n\n**Pros:**\n- Fixes root cause upstream\n- Benefits all users of the package\n\n**Cons:**\n- Dependent on external timeline\n- May take time to be released\n\n## Recommended Implementation\n\n1. **Immediate:** Suppress AI SDK warnings via environment variable or global flag\n2. **Short-term:** Improve cache error handling with better fallback messaging\n3. **Long-term:** File issue with Vercel AI SDK for specificationVersion upgrade\n\n## Related Resources\n\n- [AI SDK Migration Guide 5.x to 6.0](https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0)\n- [AI SDK Issue #10689: Warn when using v2 models](https://github.com/vercel/ai/issues/10689)\n- [AI SDK Issue #8329: Log warnings to console](https://github.com/vercel/ai/issues/8329)\n- [AI SDK Custom Providers Guide](https://ai-sdk.dev/providers/community-providers/custom-providers)\n\n## Filed Issues\n\n| Repository | Issue | Description | Status |\n|------------|-------|-------------|--------|\n| vercel/ai | [#12615](https://github.com/vercel/ai/issues/12615) | @ai-sdk/openai-compatible v3 upgrade | Filed |\n\n## Implementation (PR #178)\n\nThe following changes were implemented to fix the warnings:\n\n### 1. AI SDK Warning Suppression (`js/src/flag/flag.ts`)\n\nAdded `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default:\n\n```typescript\nexport function initAISDKWarnings(): void {\n const enableWarnings = truthy('AGENT_ENABLE_AI_SDK_WARNINGS');\n if (!enableWarnings && (globalThis as any).AI_SDK_LOG_WARNINGS === undefined) {\n (globalThis as any).AI_SDK_LOG_WARNINGS = false;\n }\n}\n```\n\nUsers can re-enable warnings by setting `AGENT_ENABLE_AI_SDK_WARNINGS=true`.\n\n### 2. Early Initialization (`js/src/index.js`)\n\nCall `Flag.initAISDKWarnings()` at the very start of the CLI, before any AI SDK imports:\n\n```javascript\nimport { Flag } from './flag/flag.ts';\n\n// Initialize AI SDK warning suppression early\nFlag.initAISDKWarnings();\n```\n\n### 3. Cache Warning Level Change (`js/src/provider/models.ts`)\n\nChanged the cache fallback message from `warn` to `info` level since using bundled data is expected behavior:\n\n```typescript\nlog.info(() => ({\n message: 'cache unavailable, using bundled data',\n path: filepath,\n}));\n```\n\n## Implementation Notes\n\nThe Agent CLI uses AI SDK v6.0.1 (`\"ai\": \"^6.0.1\"` in package.json). The specificationVersion warning comes from the dynamically installed `@ai-sdk/openai-compatible` package which is used by OpenCode provider.\n\nThe echo and cache providers already correctly implement `specificationVersion: 'v2'` in their model implementations, but since they are internal synthetic providers, they don't trigger the external warning.\n", | |
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| " AI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \"specificationVersion\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.", | |
| " ```", | |
| " ", | |
| "-**Root Cause:**", | |
| "-The AI SDK v6 uses `specificationVersion: 'v3'` but the OpenCode provider (`@ai-sdk/openai-compatible`) returns a model using the older `v2` specification. This triggers a compatibility warning added in [vercel/ai#10770](https://github.com/vercel/ai/pull/10770).", | |
| "+**Root Cause Analysis (Updated 2026-02-15):**", | |
| " ", | |
| "+After deep investigation, the **actual root cause** was discovered:", | |
| "+", | |
| "+1. The upstream `@ai-sdk/openai-compatible` package **already supports v3** - I verified the current source code shows `specificationVersion = 'v3'` (v2.x releases).", | |
| "+2. However, users who installed the CLI when v1.x was \"latest\" have an **outdated cached version** because `BunProc.install()` with `'latest'` doesn't update if `package.json` already has `\"latest\"` as the version string.", | |
| "+3. The warning appears because the cached v1.x package implements `specificationVersion: 'v2'`.", | |
| "+", | |
| " **Technical Details:**", | |
| " - AI SDK 6.x expects `specificationVersion: 'v3'`", | |
| "-- The `@ai-sdk/openai-compatible` provider package implements `specificationVersion: 'v2'`", | |
| "+- `@ai-sdk/openai-compatible` v2.x implements `specificationVersion: 'v3'` (FIXED UPSTREAM)", | |
| "+- `@ai-sdk/openai-compatible` v1.x implements `specificationVersion: 'v2'` (OLD)", | |
| " - SDK runs v2 models in compatibility mode, triggering this warning", | |
| " - The warning appears for each model instantiation (appears twice in the log)", | |
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| "text": "Now let me update the implementation section of the case study and add the new root cause fix:" | |
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| "new_string": "### Warning 3: specificationVersion Compatibility Mode\n\n**Code Location:** `js/src/bun/index.ts:144-157` (root cause) and External - `@ai-sdk/openai-compatible` package\n\nThe warning is triggered because:\n1. AI SDK 6.x expects models to implement `specificationVersion: 'v3'`\n2. The upstream `@ai-sdk/openai-compatible` v2.x **already supports v3** (verified in source)\n3. However, users with cached v1.x packages don't get updated because `BunProc.install()` with `'latest'` version doesn't refresh when the package.json already has `\"latest\"` recorded\n4. The SDK detects the v2 spec in the outdated cached package and logs a warning\n\n**Root Cause Code:**\n```typescript\n// js/src/bun/index.ts line 157 (BEFORE FIX)\nif (parsed.dependencies[pkg] === version) return mod;\n// When version === 'latest' and pkg already has 'latest' in dependencies,\n// returns early without checking if there's a newer version available\n```" | |
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| "oldString": "### Warning 3: specificationVersion Compatibility Mode\n\n**Code Location:** External - `@ai-sdk/openai-compatible` package\n\nThe warning is triggered because:\n1. AI SDK 6.x expects models to implement `specificationVersion: 'v3'`\n2. `@ai-sdk/openai-compatible` still implements `specificationVersion: 'v2'`\n3. The SDK detects this mismatch and logs a warning", | |
| "newString": "### Warning 3: specificationVersion Compatibility Mode\n\n**Code Location:** `js/src/bun/index.ts:144-157` (root cause) and External - `@ai-sdk/openai-compatible` package\n\nThe warning is triggered because:\n1. AI SDK 6.x expects models to implement `specificationVersion: 'v3'`\n2. The upstream `@ai-sdk/openai-compatible` v2.x **already supports v3** (verified in source)\n3. However, users with cached v1.x packages don't get updated because `BunProc.install()` with `'latest'` version doesn't refresh when the package.json already has `\"latest\"` recorded\n4. The SDK detects the v2 spec in the outdated cached package and logs a warning\n\n**Root Cause Code:**\n```typescript\n// js/src/bun/index.ts line 157 (BEFORE FIX)\nif (parsed.dependencies[pkg] === version) return mod;\n// When version === 'latest' and pkg already has 'latest' in dependencies,\n// returns early without checking if there's a newer version available\n```", | |
| "originalFile": "# Case Study: Issue #177 - Fixing CLI Warnings\n\n**Issue:** [#177 - Can we fix warnings?](https://github.com/link-assistant/agent/issues/177)\n**Status:** Resolved\n**Date:** 2026-02-15\n**PR:** [#178](https://github.com/link-assistant/agent/pull/178)\n\n## Executive Summary\n\nThe Agent CLI outputs several warnings during normal operation that should be addressed to ensure highest possible reliability. This case study analyzes three distinct warnings found in the user's execution log and proposes solutions.\n\n## Warnings Identified\n\n### Warning 1: models.dev Cache Read Failure\n\n**Log Entry:**\n```json\n{\n \"type\": \"log\",\n \"level\": \"warn\",\n \"timestamp\": \"2026-02-15T08:22:25.204Z\",\n \"service\": \"models.dev\",\n \"path\": \"/Users/konard/.cache/link-assistant-agent/models.json\",\n \"message\": \"cache read failed, using bundled data\"\n}\n```\n\n**Root Cause:**\nThe cache file exists but fails to be read as JSON after refresh attempt. This happens because:\n1. The cache is marked as stale (age: 42809773ms > threshold: 3600000ms)\n2. `refresh()` is awaited but the fetch may fail silently or write invalid content\n3. Subsequent `file.json().catch(() => {})` returns undefined, triggering the warning\n\n**Impact:** Low - Falls back to bundled data, but indicates potential cache corruption or network issues.\n\n---\n\n### Warning 2: AI SDK Warning System Notice\n\n**Log Entry:**\n```\nAI SDK Warning System: To turn off warning logging, set the AI_SDK_LOG_WARNINGS global to false.\n```\n\n**Root Cause:**\nThis is an informational message from Vercel's AI SDK that appears the first time any warning is logged. It's part of the warning infrastructure added in [vercel/ai#8343](https://github.com/vercel/ai/pull/8343).\n\n**Impact:** Very Low - This is purely informational and appears only once per session.\n\n---\n\n### Warning 3: AI SDK specificationVersion Compatibility Mode\n\n**Log Entry:**\n```\nAI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \"specificationVersion\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\n```\n\n**Root Cause Analysis (Updated 2026-02-15):**\n\nAfter deep investigation, the **actual root cause** was discovered:\n\n1. The upstream `@ai-sdk/openai-compatible` package **already supports v3** - I verified the current source code shows `specificationVersion = 'v3'` (v2.x releases).\n2. However, users who installed the CLI when v1.x was \"latest\" have an **outdated cached version** because `BunProc.install()` with `'latest'` doesn't update if `package.json` already has `\"latest\"` as the version string.\n3. The warning appears because the cached v1.x package implements `specificationVersion: 'v2'`.\n\n**Technical Details:**\n- AI SDK 6.x expects `specificationVersion: 'v3'`\n- `@ai-sdk/openai-compatible` v2.x implements `specificationVersion: 'v3'` (FIXED UPSTREAM)\n- `@ai-sdk/openai-compatible` v1.x implements `specificationVersion: 'v2'` (OLD)\n- SDK runs v2 models in compatibility mode, triggering this warning\n- The warning appears for each model instantiation (appears twice in the log)\n\n**Impact:** Medium - While functionality works via compatibility mode, some v3 features may not be available.\n\n## Timeline of Events\n\n| Timestamp | Event |\n|-----------|-------|\n| 08:22:25.079Z | Agent CLI started |\n| 08:22:25.092Z | models.dev cache detected as stale (age: 42809773ms) |\n| 08:22:25.092Z | Cache refresh initiated |\n| 08:22:25.204Z | **Warning 1**: Cache read failed |\n| 08:22:25.338Z | AI SDK streamText called |\n| 08:22:25.340Z | **Warning 2**: AI SDK Warning System notice |\n| 08:22:25.340Z | **Warning 3**: specificationVersion v2 compatibility mode |\n| 08:22:29.307Z | Second streamText call (loop step 1) |\n| 08:22:29.308Z | **Warning 3 again**: specificationVersion v2 compatibility mode |\n| 08:22:29.316Z | Agent disposed |\n\n## Root Cause Analysis\n\n### Warning 1: Cache Read Failure\n\n**Code Location:** `js/src/provider/models.ts:130-139`\n\n```typescript\n// Now read the cache file\nconst result = await file.json().catch(() => {});\nif (result) return result as Record<string, Provider>;\n\n// Fallback to bundled data if cache read failed\nlog.warn(() => ({\n message: 'cache read failed, using bundled data',\n path: filepath,\n}));\n```\n\n**Issue:** The `refresh()` function doesn't guarantee a valid cache file exists after it returns. The `fetch` may fail silently, or the file may be corrupted.\n\n### Warning 2: AI SDK Warning System Notice\n\n**Code Location:** External - Vercel AI SDK `ai` package\n\nThis warning is logged the first time the AI SDK logs any warning. It's informational to help users understand they can disable warnings.\n\n### Warning 3: specificationVersion Compatibility Mode\n\n**Code Location:** External - `@ai-sdk/openai-compatible` package\n\nThe warning is triggered because:\n1. AI SDK 6.x expects models to implement `specificationVersion: 'v3'`\n2. `@ai-sdk/openai-compatible` still implements `specificationVersion: 'v2'`\n3. The SDK detects this mismatch and logs a warning\n\n## Proposed Solutions\n\n### Solution 1: Suppress Cache Warning (Internal)\n\n**Approach:** Change the log level from `warn` to `info` since falling back to bundled data is expected behavior when cache is unavailable.\n\n**Pros:**\n- Simple change\n- No external dependencies\n- Bundled data fallback is a valid fallback mechanism\n\n**Cons:**\n- Doesn't fix the underlying cache read issue\n\n### Solution 2: Fix Cache Write/Read Race Condition (Internal)\n\n**Approach:** Ensure cache file is valid JSON before completing refresh.\n\n**Pros:**\n- Fixes root cause\n- Prevents future cache corruption issues\n\n**Cons:**\n- More complex implementation\n\n### Solution 3: Suppress AI SDK Warnings (Internal)\n\n**Approach:** Set `globalThis.AI_SDK_LOG_WARNINGS = false` at startup.\n\n**Pros:**\n- Simple one-line fix\n- Removes all AI SDK warning noise\n\n**Cons:**\n- May hide legitimate warnings\n- Should be configurable rather than always suppressed\n\n### Solution 4: Report Issue to Vercel AI SDK (External)\n\n**Approach:** File an issue to request `@ai-sdk/openai-compatible` be updated to v3 specification.\n\n**Pros:**\n- Fixes root cause upstream\n- Benefits all users of the package\n\n**Cons:**\n- Dependent on external timeline\n- May take time to be released\n\n## Recommended Implementation\n\n1. **Immediate:** Suppress AI SDK warnings via environment variable or global flag\n2. **Short-term:** Improve cache error handling with better fallback messaging\n3. **Long-term:** File issue with Vercel AI SDK for specificationVersion upgrade\n\n## Related Resources\n\n- [AI SDK Migration Guide 5.x to 6.0](https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0)\n- [AI SDK Issue #10689: Warn when using v2 models](https://github.com/vercel/ai/issues/10689)\n- [AI SDK Issue #8329: Log warnings to console](https://github.com/vercel/ai/issues/8329)\n- [AI SDK Custom Providers Guide](https://ai-sdk.dev/providers/community-providers/custom-providers)\n\n## Filed Issues\n\n| Repository | Issue | Description | Status |\n|------------|-------|-------------|--------|\n| vercel/ai | [#12615](https://github.com/vercel/ai/issues/12615) | @ai-sdk/openai-compatible v3 upgrade | Filed |\n\n## Implementation (PR #178)\n\nThe following changes were implemented to fix the warnings:\n\n### 1. AI SDK Warning Suppression (`js/src/flag/flag.ts`)\n\nAdded `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default:\n\n```typescript\nexport function initAISDKWarnings(): void {\n const enableWarnings = truthy('AGENT_ENABLE_AI_SDK_WARNINGS');\n if (!enableWarnings && (globalThis as any).AI_SDK_LOG_WARNINGS === undefined) {\n (globalThis as any).AI_SDK_LOG_WARNINGS = false;\n }\n}\n```\n\nUsers can re-enable warnings by setting `AGENT_ENABLE_AI_SDK_WARNINGS=true`.\n\n### 2. Early Initialization (`js/src/index.js`)\n\nCall `Flag.initAISDKWarnings()` at the very start of the CLI, before any AI SDK imports:\n\n```javascript\nimport { Flag } from './flag/flag.ts';\n\n// Initialize AI SDK warning suppression early\nFlag.initAISDKWarnings();\n```\n\n### 3. Cache Warning Level Change (`js/src/provider/models.ts`)\n\nChanged the cache fallback message from `warn` to `info` level since using bundled data is expected behavior:\n\n```typescript\nlog.info(() => ({\n message: 'cache unavailable, using bundled data',\n path: filepath,\n}));\n```\n\n## Implementation Notes\n\nThe Agent CLI uses AI SDK v6.0.1 (`\"ai\": \"^6.0.1\"` in package.json). The specificationVersion warning comes from the dynamically installed `@ai-sdk/openai-compatible` package which is used by OpenCode provider.\n\nThe echo and cache providers already correctly implement `specificationVersion: 'v2'` in their model implementations, but since they are internal synthetic providers, they don't trigger the external warning.\n", | |
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| " ", | |
| "-**Code Location:** External - `@ai-sdk/openai-compatible` package", | |
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| " ", | |
| " The warning is triggered because:", | |
| " 1. AI SDK 6.x expects models to implement `specificationVersion: 'v3'`", | |
| "-2. `@ai-sdk/openai-compatible` still implements `specificationVersion: 'v2'`", | |
| "-3. The SDK detects this mismatch and logs a warning", | |
| "+2. The upstream `@ai-sdk/openai-compatible` v2.x **already supports v3** (verified in source)", | |
| "+3. However, users with cached v1.x packages don't get updated because `BunProc.install()` with `'latest'` version doesn't refresh when the package.json already has `\"latest\"` recorded", | |
| "+4. The SDK detects the v2 spec in the outdated cached package and logs a warning", | |
| " ", | |
| "+**Root Cause Code:**", | |
| "+```typescript", | |
| "+// js/src/bun/index.ts line 157 (BEFORE FIX)", | |
| "+if (parsed.dependencies[pkg] === version) return mod;", | |
| "+// When version === 'latest' and pkg already has 'latest' in dependencies,", | |
| "+// returns early without checking if there's a newer version available", | |
| "+```", | |
| "+", | |
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| " ### Solution 1: Suppress Cache Warning (Internal)" | |
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| "old_string": "### Solution 4: Report Issue to Vercel AI SDK (External)\n\n**Approach:** File an issue to request `@ai-sdk/openai-compatible` be updated to v3 specification.\n\n**Pros:**\n- Fixes root cause upstream\n- Benefits all users of the package\n\n**Cons:**\n- Dependent on external timeline\n- May take time to be released\n\n## Recommended Implementation\n\n1. **Immediate:** Suppress AI SDK warnings via environment variable or global flag\n2. **Short-term:** Improve cache error handling with better fallback messaging\n3. **Long-term:** File issue with Vercel AI SDK for specificationVersion upgrade", | |
| "new_string": "### Solution 4: Report Issue to Vercel AI SDK (External) - ALREADY FIXED\n\n**Approach:** File an issue to request `@ai-sdk/openai-compatible` be updated to v3 specification.\n\n**Status:** The upstream package **already supports v3** in v2.x releases (verified 2026-02-15).\n\n### Solution 5: Fix Package Staleness Check (Internal) - ROOT CAUSE FIX\n\n**Approach:** Update `BunProc.install()` to refresh 'latest' packages periodically (every 24 hours).\n\n**Code Location:** `js/src/bun/index.ts`\n\n**Pros:**\n- Fixes the actual root cause of the specificationVersion warning\n- Ensures users get updated packages with bug fixes and security patches\n- No suppression of legitimate warnings needed\n\n**Cons:**\n- Slightly longer startup time when packages need refresh\n- Requires tracking installation timestamps\n\n## Recommended Implementation\n\n1. **Immediate (Solution 5):** Fix package staleness check to refresh 'latest' packages\n2. **Short-term:** Change cache fallback message from `warn` to `info` level\n3. **Fallback:** Keep AI SDK warning suppression as an escape hatch for edge cases" | |
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| "oldString": "### Solution 4: Report Issue to Vercel AI SDK (External)\n\n**Approach:** File an issue to request `@ai-sdk/openai-compatible` be updated to v3 specification.\n\n**Pros:**\n- Fixes root cause upstream\n- Benefits all users of the package\n\n**Cons:**\n- Dependent on external timeline\n- May take time to be released\n\n## Recommended Implementation\n\n1. **Immediate:** Suppress AI SDK warnings via environment variable or global flag\n2. **Short-term:** Improve cache error handling with better fallback messaging\n3. **Long-term:** File issue with Vercel AI SDK for specificationVersion upgrade", | |
| "newString": "### Solution 4: Report Issue to Vercel AI SDK (External) - ALREADY FIXED\n\n**Approach:** File an issue to request `@ai-sdk/openai-compatible` be updated to v3 specification.\n\n**Status:** The upstream package **already supports v3** in v2.x releases (verified 2026-02-15).\n\n### Solution 5: Fix Package Staleness Check (Internal) - ROOT CAUSE FIX\n\n**Approach:** Update `BunProc.install()` to refresh 'latest' packages periodically (every 24 hours).\n\n**Code Location:** `js/src/bun/index.ts`\n\n**Pros:**\n- Fixes the actual root cause of the specificationVersion warning\n- Ensures users get updated packages with bug fixes and security patches\n- No suppression of legitimate warnings needed\n\n**Cons:**\n- Slightly longer startup time when packages need refresh\n- Requires tracking installation timestamps\n\n## Recommended Implementation\n\n1. **Immediate (Solution 5):** Fix package staleness check to refresh 'latest' packages\n2. **Short-term:** Change cache fallback message from `warn` to `info` level\n3. **Fallback:** Keep AI SDK warning suppression as an escape hatch for edge cases", | |
| "originalFile": "# Case Study: Issue #177 - Fixing CLI Warnings\n\n**Issue:** [#177 - Can we fix warnings?](https://github.com/link-assistant/agent/issues/177)\n**Status:** Resolved\n**Date:** 2026-02-15\n**PR:** [#178](https://github.com/link-assistant/agent/pull/178)\n\n## Executive Summary\n\nThe Agent CLI outputs several warnings during normal operation that should be addressed to ensure highest possible reliability. This case study analyzes three distinct warnings found in the user's execution log and proposes solutions.\n\n## Warnings Identified\n\n### Warning 1: models.dev Cache Read Failure\n\n**Log Entry:**\n```json\n{\n \"type\": \"log\",\n \"level\": \"warn\",\n \"timestamp\": \"2026-02-15T08:22:25.204Z\",\n \"service\": \"models.dev\",\n \"path\": \"/Users/konard/.cache/link-assistant-agent/models.json\",\n \"message\": \"cache read failed, using bundled data\"\n}\n```\n\n**Root Cause:**\nThe cache file exists but fails to be read as JSON after refresh attempt. This happens because:\n1. The cache is marked as stale (age: 42809773ms > threshold: 3600000ms)\n2. `refresh()` is awaited but the fetch may fail silently or write invalid content\n3. Subsequent `file.json().catch(() => {})` returns undefined, triggering the warning\n\n**Impact:** Low - Falls back to bundled data, but indicates potential cache corruption or network issues.\n\n---\n\n### Warning 2: AI SDK Warning System Notice\n\n**Log Entry:**\n```\nAI SDK Warning System: To turn off warning logging, set the AI_SDK_LOG_WARNINGS global to false.\n```\n\n**Root Cause:**\nThis is an informational message from Vercel's AI SDK that appears the first time any warning is logged. It's part of the warning infrastructure added in [vercel/ai#8343](https://github.com/vercel/ai/pull/8343).\n\n**Impact:** Very Low - This is purely informational and appears only once per session.\n\n---\n\n### Warning 3: AI SDK specificationVersion Compatibility Mode\n\n**Log Entry:**\n```\nAI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \"specificationVersion\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\n```\n\n**Root Cause Analysis (Updated 2026-02-15):**\n\nAfter deep investigation, the **actual root cause** was discovered:\n\n1. The upstream `@ai-sdk/openai-compatible` package **already supports v3** - I verified the current source code shows `specificationVersion = 'v3'` (v2.x releases).\n2. However, users who installed the CLI when v1.x was \"latest\" have an **outdated cached version** because `BunProc.install()` with `'latest'` doesn't update if `package.json` already has `\"latest\"` as the version string.\n3. The warning appears because the cached v1.x package implements `specificationVersion: 'v2'`.\n\n**Technical Details:**\n- AI SDK 6.x expects `specificationVersion: 'v3'`\n- `@ai-sdk/openai-compatible` v2.x implements `specificationVersion: 'v3'` (FIXED UPSTREAM)\n- `@ai-sdk/openai-compatible` v1.x implements `specificationVersion: 'v2'` (OLD)\n- SDK runs v2 models in compatibility mode, triggering this warning\n- The warning appears for each model instantiation (appears twice in the log)\n\n**Impact:** Medium - While functionality works via compatibility mode, some v3 features may not be available.\n\n## Timeline of Events\n\n| Timestamp | Event |\n|-----------|-------|\n| 08:22:25.079Z | Agent CLI started |\n| 08:22:25.092Z | models.dev cache detected as stale (age: 42809773ms) |\n| 08:22:25.092Z | Cache refresh initiated |\n| 08:22:25.204Z | **Warning 1**: Cache read failed |\n| 08:22:25.338Z | AI SDK streamText called |\n| 08:22:25.340Z | **Warning 2**: AI SDK Warning System notice |\n| 08:22:25.340Z | **Warning 3**: specificationVersion v2 compatibility mode |\n| 08:22:29.307Z | Second streamText call (loop step 1) |\n| 08:22:29.308Z | **Warning 3 again**: specificationVersion v2 compatibility mode |\n| 08:22:29.316Z | Agent disposed |\n\n## Root Cause Analysis\n\n### Warning 1: Cache Read Failure\n\n**Code Location:** `js/src/provider/models.ts:130-139`\n\n```typescript\n// Now read the cache file\nconst result = await file.json().catch(() => {});\nif (result) return result as Record<string, Provider>;\n\n// Fallback to bundled data if cache read failed\nlog.warn(() => ({\n message: 'cache read failed, using bundled data',\n path: filepath,\n}));\n```\n\n**Issue:** The `refresh()` function doesn't guarantee a valid cache file exists after it returns. The `fetch` may fail silently, or the file may be corrupted.\n\n### Warning 2: AI SDK Warning System Notice\n\n**Code Location:** External - Vercel AI SDK `ai` package\n\nThis warning is logged the first time the AI SDK logs any warning. It's informational to help users understand they can disable warnings.\n\n### Warning 3: specificationVersion Compatibility Mode\n\n**Code Location:** `js/src/bun/index.ts:144-157` (root cause) and External - `@ai-sdk/openai-compatible` package\n\nThe warning is triggered because:\n1. AI SDK 6.x expects models to implement `specificationVersion: 'v3'`\n2. The upstream `@ai-sdk/openai-compatible` v2.x **already supports v3** (verified in source)\n3. However, users with cached v1.x packages don't get updated because `BunProc.install()` with `'latest'` version doesn't refresh when the package.json already has `\"latest\"` recorded\n4. The SDK detects the v2 spec in the outdated cached package and logs a warning\n\n**Root Cause Code:**\n```typescript\n// js/src/bun/index.ts line 157 (BEFORE FIX)\nif (parsed.dependencies[pkg] === version) return mod;\n// When version === 'latest' and pkg already has 'latest' in dependencies,\n// returns early without checking if there's a newer version available\n```\n\n## Proposed Solutions\n\n### Solution 1: Suppress Cache Warning (Internal)\n\n**Approach:** Change the log level from `warn` to `info` since falling back to bundled data is expected behavior when cache is unavailable.\n\n**Pros:**\n- Simple change\n- No external dependencies\n- Bundled data fallback is a valid fallback mechanism\n\n**Cons:**\n- Doesn't fix the underlying cache read issue\n\n### Solution 2: Fix Cache Write/Read Race Condition (Internal)\n\n**Approach:** Ensure cache file is valid JSON before completing refresh.\n\n**Pros:**\n- Fixes root cause\n- Prevents future cache corruption issues\n\n**Cons:**\n- More complex implementation\n\n### Solution 3: Suppress AI SDK Warnings (Internal)\n\n**Approach:** Set `globalThis.AI_SDK_LOG_WARNINGS = false` at startup.\n\n**Pros:**\n- Simple one-line fix\n- Removes all AI SDK warning noise\n\n**Cons:**\n- May hide legitimate warnings\n- Should be configurable rather than always suppressed\n\n### Solution 4: Report Issue to Vercel AI SDK (External)\n\n**Approach:** File an issue to request `@ai-sdk/openai-compatible` be updated to v3 specification.\n\n**Pros:**\n- Fixes root cause upstream\n- Benefits all users of the package\n\n**Cons:**\n- Dependent on external timeline\n- May take time to be released\n\n## Recommended Implementation\n\n1. **Immediate:** Suppress AI SDK warnings via environment variable or global flag\n2. **Short-term:** Improve cache error handling with better fallback messaging\n3. **Long-term:** File issue with Vercel AI SDK for specificationVersion upgrade\n\n## Related Resources\n\n- [AI SDK Migration Guide 5.x to 6.0](https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0)\n- [AI SDK Issue #10689: Warn when using v2 models](https://github.com/vercel/ai/issues/10689)\n- [AI SDK Issue #8329: Log warnings to console](https://github.com/vercel/ai/issues/8329)\n- [AI SDK Custom Providers Guide](https://ai-sdk.dev/providers/community-providers/custom-providers)\n\n## Filed Issues\n\n| Repository | Issue | Description | Status |\n|------------|-------|-------------|--------|\n| vercel/ai | [#12615](https://github.com/vercel/ai/issues/12615) | @ai-sdk/openai-compatible v3 upgrade | Filed |\n\n## Implementation (PR #178)\n\nThe following changes were implemented to fix the warnings:\n\n### 1. AI SDK Warning Suppression (`js/src/flag/flag.ts`)\n\nAdded `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default:\n\n```typescript\nexport function initAISDKWarnings(): void {\n const enableWarnings = truthy('AGENT_ENABLE_AI_SDK_WARNINGS');\n if (!enableWarnings && (globalThis as any).AI_SDK_LOG_WARNINGS === undefined) {\n (globalThis as any).AI_SDK_LOG_WARNINGS = false;\n }\n}\n```\n\nUsers can re-enable warnings by setting `AGENT_ENABLE_AI_SDK_WARNINGS=true`.\n\n### 2. Early Initialization (`js/src/index.js`)\n\nCall `Flag.initAISDKWarnings()` at the very start of the CLI, before any AI SDK imports:\n\n```javascript\nimport { Flag } from './flag/flag.ts';\n\n// Initialize AI SDK warning suppression early\nFlag.initAISDKWarnings();\n```\n\n### 3. Cache Warning Level Change (`js/src/provider/models.ts`)\n\nChanged the cache fallback message from `warn` to `info` level since using bundled data is expected behavior:\n\n```typescript\nlog.info(() => ({\n message: 'cache unavailable, using bundled data',\n path: filepath,\n}));\n```\n\n## Implementation Notes\n\nThe Agent CLI uses AI SDK v6.0.1 (`\"ai\": \"^6.0.1\"` in package.json). The specificationVersion warning comes from the dynamically installed `@ai-sdk/openai-compatible` package which is used by OpenCode provider.\n\nThe echo and cache providers already correctly implement `specificationVersion: 'v2'` in their model implementations, but since they are internal synthetic providers, they don't trigger the external warning.\n", | |
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| " - May hide legitimate warnings", | |
| " - Should be configurable rather than always suppressed", | |
| " ", | |
| "-### Solution 4: Report Issue to Vercel AI SDK (External)", | |
| "+### Solution 4: Report Issue to Vercel AI SDK (External) - ALREADY FIXED", | |
| " ", | |
| " **Approach:** File an issue to request `@ai-sdk/openai-compatible` be updated to v3 specification.", | |
| " ", | |
| "+**Status:** The upstream package **already supports v3** in v2.x releases (verified 2026-02-15).", | |
| "+", | |
| "+### Solution 5: Fix Package Staleness Check (Internal) - ROOT CAUSE FIX", | |
| "+", | |
| "+**Approach:** Update `BunProc.install()` to refresh 'latest' packages periodically (every 24 hours).", | |
| "+", | |
| "+**Code Location:** `js/src/bun/index.ts`", | |
| "+", | |
| " **Pros:**", | |
| "-- Fixes root cause upstream", | |
| "-- Benefits all users of the package", | |
| "+- Fixes the actual root cause of the specificationVersion warning", | |
| "+- Ensures users get updated packages with bug fixes and security patches", | |
| "+- No suppression of legitimate warnings needed", | |
| " ", | |
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| "-- May take time to be released", | |
| "+- Slightly longer startup time when packages need refresh", | |
| "+- Requires tracking installation timestamps", | |
| " ", | |
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| " ", | |
| "-1. **Immediate:** Suppress AI SDK warnings via environment variable or global flag", | |
| "-2. **Short-term:** Improve cache error handling with better fallback messaging", | |
| "-3. **Long-term:** File issue with Vercel AI SDK for specificationVersion upgrade", | |
| "+1. **Immediate (Solution 5):** Fix package staleness check to refresh 'latest' packages", | |
| "+2. **Short-term:** Change cache fallback message from `warn` to `info` level", | |
| "+3. **Fallback:** Keep AI SDK warning suppression as an escape hatch for edge cases", | |
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| "old_string": "## Implementation (PR #178)\n\nThe following changes were implemented to fix the warnings:\n\n### 1. AI SDK Warning Suppression (`js/src/flag/flag.ts`)\n\nAdded `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default:\n\n```typescript\nexport function initAISDKWarnings(): void {\n const enableWarnings = truthy('AGENT_ENABLE_AI_SDK_WARNINGS');\n if (!enableWarnings && (globalThis as any).AI_SDK_LOG_WARNINGS === undefined) {\n (globalThis as any).AI_SDK_LOG_WARNINGS = false;\n }\n}\n```\n\nUsers can re-enable warnings by setting `AGENT_ENABLE_AI_SDK_WARNINGS=true`.\n\n### 2. Early Initialization (`js/src/index.js`)\n\nCall `Flag.initAISDKWarnings()` at the very start of the CLI, before any AI SDK imports:\n\n```javascript\nimport { Flag } from './flag/flag.ts';\n\n// Initialize AI SDK warning suppression early\nFlag.initAISDKWarnings();\n```\n\n### 3. Cache Warning Level Change (`js/src/provider/models.ts`)\n\nChanged the cache fallback message from `warn` to `info` level since using bundled data is expected behavior:\n\n```typescript\nlog.info(() => ({\n message: 'cache unavailable, using bundled data',\n path: filepath,\n}));\n```\n\n## Implementation Notes\n\nThe Agent CLI uses AI SDK v6.0.1 (`\"ai\": \"^6.0.1\"` in package.json). The specificationVersion warning comes from the dynamically installed `@ai-sdk/openai-compatible` package which is used by OpenCode provider.\n\nThe echo and cache providers already correctly implement `specificationVersion: 'v2'` in their model implementations, but since they are internal synthetic providers, they don't trigger the external warning.", | |
| "new_string": "## Implementation (PR #178)\n\nThe following changes were implemented to fix the warnings:\n\n### 1. Package Staleness Check (Root Cause Fix) (`js/src/bun/index.ts`)\n\nAdded staleness tracking for 'latest' version packages to ensure users get updated packages:\n\n```typescript\n// Staleness threshold for 'latest' version packages (24 hours)\nconst LATEST_VERSION_STALE_THRESHOLD_MS = 24 * 60 * 60 * 1000;\n\nexport async function install(pkg: string, version = 'latest') {\n // ... existing setup code ...\n\n // For 'latest' version, check if installation is stale and needs refresh\n if (version === 'latest' && installTime) {\n const age = Date.now() - installTime;\n if (age < LATEST_VERSION_STALE_THRESHOLD_MS) {\n return mod;\n }\n log.info(() => ({\n message: 'refreshing stale latest package',\n pkg,\n version,\n ageMs: age,\n threshold: LATEST_VERSION_STALE_THRESHOLD_MS,\n }));\n }\n // ... continue with installation ...\n}\n```\n\nThis ensures users who installed `@ai-sdk/openai-compatible` when v1.x was \"latest\" will automatically get v2.x (with v3 spec support) on next CLI run.\n\n### 2. AI SDK Warning Suppression (Fallback) (`js/src/flag/flag.ts`)\n\nAdded `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default as a fallback:\n\n```typescript\nexport function initAISDKWarnings(): void {\n const enableWarnings = truthy('AGENT_ENABLE_AI_SDK_WARNINGS');\n if (!enableWarnings && (globalThis as any).AI_SDK_LOG_WARNINGS === undefined) {\n (globalThis as any).AI_SDK_LOG_WARNINGS = false;\n }\n}\n```\n\nUsers can re-enable warnings by setting `AGENT_ENABLE_AI_SDK_WARNINGS=true`.\n\n### 3. Early Initialization (`js/src/index.js`)\n\nCall `Flag.initAISDKWarnings()` at the very start of the CLI, before any AI SDK imports:\n\n```javascript\nimport { Flag } from './flag/flag.ts';\n\n// Initialize AI SDK warning suppression early\nFlag.initAISDKWarnings();\n```\n\n### 4. Cache Warning Level Change (`js/src/provider/models.ts`)\n\nChanged the cache fallback message from `warn` to `info` level since using bundled data is expected behavior:\n\n```typescript\nlog.info(() => ({\n message: 'cache unavailable, using bundled data',\n path: filepath,\n}));\n```\n\n## Implementation Notes\n\nThe Agent CLI uses AI SDK v6.0.1 (`\"ai\": \"^6.0.1\"` in package.json). The specificationVersion warning comes from the dynamically installed `@ai-sdk/openai-compatible` package which is used by OpenCode provider.\n\nThe root cause fix (staleness check) ensures users get updated packages automatically. The warning suppression is kept as a fallback for edge cases where the updated package still triggers warnings.\n\nThe echo and cache providers already correctly implement `specificationVersion: 'v2'` in their model implementations, but since they are internal synthetic providers, they don't trigger the external warning." | |
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| "oldString": "## Implementation (PR #178)\n\nThe following changes were implemented to fix the warnings:\n\n### 1. AI SDK Warning Suppression (`js/src/flag/flag.ts`)\n\nAdded `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default:\n\n```typescript\nexport function initAISDKWarnings(): void {\n const enableWarnings = truthy('AGENT_ENABLE_AI_SDK_WARNINGS');\n if (!enableWarnings && (globalThis as any).AI_SDK_LOG_WARNINGS === undefined) {\n (globalThis as any).AI_SDK_LOG_WARNINGS = false;\n }\n}\n```\n\nUsers can re-enable warnings by setting `AGENT_ENABLE_AI_SDK_WARNINGS=true`.\n\n### 2. Early Initialization (`js/src/index.js`)\n\nCall `Flag.initAISDKWarnings()` at the very start of the CLI, before any AI SDK imports:\n\n```javascript\nimport { Flag } from './flag/flag.ts';\n\n// Initialize AI SDK warning suppression early\nFlag.initAISDKWarnings();\n```\n\n### 3. Cache Warning Level Change (`js/src/provider/models.ts`)\n\nChanged the cache fallback message from `warn` to `info` level since using bundled data is expected behavior:\n\n```typescript\nlog.info(() => ({\n message: 'cache unavailable, using bundled data',\n path: filepath,\n}));\n```\n\n## Implementation Notes\n\nThe Agent CLI uses AI SDK v6.0.1 (`\"ai\": \"^6.0.1\"` in package.json). The specificationVersion warning comes from the dynamically installed `@ai-sdk/openai-compatible` package which is used by OpenCode provider.\n\nThe echo and cache providers already correctly implement `specificationVersion: 'v2'` in their model implementations, but since they are internal synthetic providers, they don't trigger the external warning.", | |
| "newString": "## Implementation (PR #178)\n\nThe following changes were implemented to fix the warnings:\n\n### 1. Package Staleness Check (Root Cause Fix) (`js/src/bun/index.ts`)\n\nAdded staleness tracking for 'latest' version packages to ensure users get updated packages:\n\n```typescript\n// Staleness threshold for 'latest' version packages (24 hours)\nconst LATEST_VERSION_STALE_THRESHOLD_MS = 24 * 60 * 60 * 1000;\n\nexport async function install(pkg: string, version = 'latest') {\n // ... existing setup code ...\n\n // For 'latest' version, check if installation is stale and needs refresh\n if (version === 'latest' && installTime) {\n const age = Date.now() - installTime;\n if (age < LATEST_VERSION_STALE_THRESHOLD_MS) {\n return mod;\n }\n log.info(() => ({\n message: 'refreshing stale latest package',\n pkg,\n version,\n ageMs: age,\n threshold: LATEST_VERSION_STALE_THRESHOLD_MS,\n }));\n }\n // ... continue with installation ...\n}\n```\n\nThis ensures users who installed `@ai-sdk/openai-compatible` when v1.x was \"latest\" will automatically get v2.x (with v3 spec support) on next CLI run.\n\n### 2. AI SDK Warning Suppression (Fallback) (`js/src/flag/flag.ts`)\n\nAdded `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default as a fallback:\n\n```typescript\nexport function initAISDKWarnings(): void {\n const enableWarnings = truthy('AGENT_ENABLE_AI_SDK_WARNINGS');\n if (!enableWarnings && (globalThis as any).AI_SDK_LOG_WARNINGS === undefined) {\n (globalThis as any).AI_SDK_LOG_WARNINGS = false;\n }\n}\n```\n\nUsers can re-enable warnings by setting `AGENT_ENABLE_AI_SDK_WARNINGS=true`.\n\n### 3. Early Initialization (`js/src/index.js`)\n\nCall `Flag.initAISDKWarnings()` at the very start of the CLI, before any AI SDK imports:\n\n```javascript\nimport { Flag } from './flag/flag.ts';\n\n// Initialize AI SDK warning suppression early\nFlag.initAISDKWarnings();\n```\n\n### 4. Cache Warning Level Change (`js/src/provider/models.ts`)\n\nChanged the cache fallback message from `warn` to `info` level since using bundled data is expected behavior:\n\n```typescript\nlog.info(() => ({\n message: 'cache unavailable, using bundled data',\n path: filepath,\n}));\n```\n\n## Implementation Notes\n\nThe Agent CLI uses AI SDK v6.0.1 (`\"ai\": \"^6.0.1\"` in package.json). The specificationVersion warning comes from the dynamically installed `@ai-sdk/openai-compatible` package which is used by OpenCode provider.\n\nThe root cause fix (staleness check) ensures users get updated packages automatically. The warning suppression is kept as a fallback for edge cases where the updated package still triggers warnings.\n\nThe echo and cache providers already correctly implement `specificationVersion: 'v2'` in their model implementations, but since they are internal synthetic providers, they don't trigger the external warning.", | |
| "originalFile": "# Case Study: Issue #177 - Fixing CLI Warnings\n\n**Issue:** [#177 - Can we fix warnings?](https://github.com/link-assistant/agent/issues/177)\n**Status:** Resolved\n**Date:** 2026-02-15\n**PR:** [#178](https://github.com/link-assistant/agent/pull/178)\n\n## Executive Summary\n\nThe Agent CLI outputs several warnings during normal operation that should be addressed to ensure highest possible reliability. This case study analyzes three distinct warnings found in the user's execution log and proposes solutions.\n\n## Warnings Identified\n\n### Warning 1: models.dev Cache Read Failure\n\n**Log Entry:**\n```json\n{\n \"type\": \"log\",\n \"level\": \"warn\",\n \"timestamp\": \"2026-02-15T08:22:25.204Z\",\n \"service\": \"models.dev\",\n \"path\": \"/Users/konard/.cache/link-assistant-agent/models.json\",\n \"message\": \"cache read failed, using bundled data\"\n}\n```\n\n**Root Cause:**\nThe cache file exists but fails to be read as JSON after refresh attempt. This happens because:\n1. The cache is marked as stale (age: 42809773ms > threshold: 3600000ms)\n2. `refresh()` is awaited but the fetch may fail silently or write invalid content\n3. Subsequent `file.json().catch(() => {})` returns undefined, triggering the warning\n\n**Impact:** Low - Falls back to bundled data, but indicates potential cache corruption or network issues.\n\n---\n\n### Warning 2: AI SDK Warning System Notice\n\n**Log Entry:**\n```\nAI SDK Warning System: To turn off warning logging, set the AI_SDK_LOG_WARNINGS global to false.\n```\n\n**Root Cause:**\nThis is an informational message from Vercel's AI SDK that appears the first time any warning is logged. It's part of the warning infrastructure added in [vercel/ai#8343](https://github.com/vercel/ai/pull/8343).\n\n**Impact:** Very Low - This is purely informational and appears only once per session.\n\n---\n\n### Warning 3: AI SDK specificationVersion Compatibility Mode\n\n**Log Entry:**\n```\nAI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \"specificationVersion\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\n```\n\n**Root Cause Analysis (Updated 2026-02-15):**\n\nAfter deep investigation, the **actual root cause** was discovered:\n\n1. The upstream `@ai-sdk/openai-compatible` package **already supports v3** - I verified the current source code shows `specificationVersion = 'v3'` (v2.x releases).\n2. However, users who installed the CLI when v1.x was \"latest\" have an **outdated cached version** because `BunProc.install()` with `'latest'` doesn't update if `package.json` already has `\"latest\"` as the version string.\n3. The warning appears because the cached v1.x package implements `specificationVersion: 'v2'`.\n\n**Technical Details:**\n- AI SDK 6.x expects `specificationVersion: 'v3'`\n- `@ai-sdk/openai-compatible` v2.x implements `specificationVersion: 'v3'` (FIXED UPSTREAM)\n- `@ai-sdk/openai-compatible` v1.x implements `specificationVersion: 'v2'` (OLD)\n- SDK runs v2 models in compatibility mode, triggering this warning\n- The warning appears for each model instantiation (appears twice in the log)\n\n**Impact:** Medium - While functionality works via compatibility mode, some v3 features may not be available.\n\n## Timeline of Events\n\n| Timestamp | Event |\n|-----------|-------|\n| 08:22:25.079Z | Agent CLI started |\n| 08:22:25.092Z | models.dev cache detected as stale (age: 42809773ms) |\n| 08:22:25.092Z | Cache refresh initiated |\n| 08:22:25.204Z | **Warning 1**: Cache read failed |\n| 08:22:25.338Z | AI SDK streamText called |\n| 08:22:25.340Z | **Warning 2**: AI SDK Warning System notice |\n| 08:22:25.340Z | **Warning 3**: specificationVersion v2 compatibility mode |\n| 08:22:29.307Z | Second streamText call (loop step 1) |\n| 08:22:29.308Z | **Warning 3 again**: specificationVersion v2 compatibility mode |\n| 08:22:29.316Z | Agent disposed |\n\n## Root Cause Analysis\n\n### Warning 1: Cache Read Failure\n\n**Code Location:** `js/src/provider/models.ts:130-139`\n\n```typescript\n// Now read the cache file\nconst result = await file.json().catch(() => {});\nif (result) return result as Record<string, Provider>;\n\n// Fallback to bundled data if cache read failed\nlog.warn(() => ({\n message: 'cache read failed, using bundled data',\n path: filepath,\n}));\n```\n\n**Issue:** The `refresh()` function doesn't guarantee a valid cache file exists after it returns. The `fetch` may fail silently, or the file may be corrupted.\n\n### Warning 2: AI SDK Warning System Notice\n\n**Code Location:** External - Vercel AI SDK `ai` package\n\nThis warning is logged the first time the AI SDK logs any warning. It's informational to help users understand they can disable warnings.\n\n### Warning 3: specificationVersion Compatibility Mode\n\n**Code Location:** `js/src/bun/index.ts:144-157` (root cause) and External - `@ai-sdk/openai-compatible` package\n\nThe warning is triggered because:\n1. AI SDK 6.x expects models to implement `specificationVersion: 'v3'`\n2. The upstream `@ai-sdk/openai-compatible` v2.x **already supports v3** (verified in source)\n3. However, users with cached v1.x packages don't get updated because `BunProc.install()` with `'latest'` version doesn't refresh when the package.json already has `\"latest\"` recorded\n4. The SDK detects the v2 spec in the outdated cached package and logs a warning\n\n**Root Cause Code:**\n```typescript\n// js/src/bun/index.ts line 157 (BEFORE FIX)\nif (parsed.dependencies[pkg] === version) return mod;\n// When version === 'latest' and pkg already has 'latest' in dependencies,\n// returns early without checking if there's a newer version available\n```\n\n## Proposed Solutions\n\n### Solution 1: Suppress Cache Warning (Internal)\n\n**Approach:** Change the log level from `warn` to `info` since falling back to bundled data is expected behavior when cache is unavailable.\n\n**Pros:**\n- Simple change\n- No external dependencies\n- Bundled data fallback is a valid fallback mechanism\n\n**Cons:**\n- Doesn't fix the underlying cache read issue\n\n### Solution 2: Fix Cache Write/Read Race Condition (Internal)\n\n**Approach:** Ensure cache file is valid JSON before completing refresh.\n\n**Pros:**\n- Fixes root cause\n- Prevents future cache corruption issues\n\n**Cons:**\n- More complex implementation\n\n### Solution 3: Suppress AI SDK Warnings (Internal)\n\n**Approach:** Set `globalThis.AI_SDK_LOG_WARNINGS = false` at startup.\n\n**Pros:**\n- Simple one-line fix\n- Removes all AI SDK warning noise\n\n**Cons:**\n- May hide legitimate warnings\n- Should be configurable rather than always suppressed\n\n### Solution 4: Report Issue to Vercel AI SDK (External) - ALREADY FIXED\n\n**Approach:** File an issue to request `@ai-sdk/openai-compatible` be updated to v3 specification.\n\n**Status:** The upstream package **already supports v3** in v2.x releases (verified 2026-02-15).\n\n### Solution 5: Fix Package Staleness Check (Internal) - ROOT CAUSE FIX\n\n**Approach:** Update `BunProc.install()` to refresh 'latest' packages periodically (every 24 hours).\n\n**Code Location:** `js/src/bun/index.ts`\n\n**Pros:**\n- Fixes the actual root cause of the specificationVersion warning\n- Ensures users get updated packages with bug fixes and security patches\n- No suppression of legitimate warnings needed\n\n**Cons:**\n- Slightly longer startup time when packages need refresh\n- Requires tracking installation timestamps\n\n## Recommended Implementation\n\n1. **Immediate (Solution 5):** Fix package staleness check to refresh 'latest' packages\n2. **Short-term:** Change cache fallback message from `warn` to `info` level\n3. **Fallback:** Keep AI SDK warning suppression as an escape hatch for edge cases\n\n## Related Resources\n\n- [AI SDK Migration Guide 5.x to 6.0](https://ai-sdk.dev/docs/migration-guides/migration-guide-6-0)\n- [AI SDK Issue #10689: Warn when using v2 models](https://github.com/vercel/ai/issues/10689)\n- [AI SDK Issue #8329: Log warnings to console](https://github.com/vercel/ai/issues/8329)\n- [AI SDK Custom Providers Guide](https://ai-sdk.dev/providers/community-providers/custom-providers)\n\n## Filed Issues\n\n| Repository | Issue | Description | Status |\n|------------|-------|-------------|--------|\n| vercel/ai | [#12615](https://github.com/vercel/ai/issues/12615) | @ai-sdk/openai-compatible v3 upgrade | Filed |\n\n## Implementation (PR #178)\n\nThe following changes were implemented to fix the warnings:\n\n### 1. AI SDK Warning Suppression (`js/src/flag/flag.ts`)\n\nAdded `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default:\n\n```typescript\nexport function initAISDKWarnings(): void {\n const enableWarnings = truthy('AGENT_ENABLE_AI_SDK_WARNINGS');\n if (!enableWarnings && (globalThis as any).AI_SDK_LOG_WARNINGS === undefined) {\n (globalThis as any).AI_SDK_LOG_WARNINGS = false;\n }\n}\n```\n\nUsers can re-enable warnings by setting `AGENT_ENABLE_AI_SDK_WARNINGS=true`.\n\n### 2. Early Initialization (`js/src/index.js`)\n\nCall `Flag.initAISDKWarnings()` at the very start of the CLI, before any AI SDK imports:\n\n```javascript\nimport { Flag } from './flag/flag.ts';\n\n// Initialize AI SDK warning suppression early\nFlag.initAISDKWarnings();\n```\n\n### 3. Cache Warning Level Change (`js/src/provider/models.ts`)\n\nChanged the cache fallback message from `warn` to `info` level since using bundled data is expected behavior:\n\n```typescript\nlog.info(() => ({\n message: 'cache unavailable, using bundled data',\n path: filepath,\n}));\n```\n\n## Implementation Notes\n\nThe Agent CLI uses AI SDK v6.0.1 (`\"ai\": \"^6.0.1\"` in package.json). The specificationVersion warning comes from the dynamically installed `@ai-sdk/openai-compatible` package which is used by OpenCode provider.\n\nThe echo and cache providers already correctly implement `specificationVersion: 'v2'` in their model implementations, but since they are internal synthetic providers, they don't trigger the external warning.\n", | |
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| " ", | |
| "-Added `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default:", | |
| "+Added staleness tracking for 'latest' version packages to ensure users get updated packages:", | |
| " ", | |
| " ```typescript", | |
| "+// Staleness threshold for 'latest' version packages (24 hours)", | |
| "+const LATEST_VERSION_STALE_THRESHOLD_MS = 24 * 60 * 60 * 1000;", | |
| "+", | |
| "+export async function install(pkg: string, version = 'latest') {", | |
| "+ // ... existing setup code ...", | |
| "+", | |
| "+ // For 'latest' version, check if installation is stale and needs refresh", | |
| "+ if (version === 'latest' && installTime) {", | |
| "+ const age = Date.now() - installTime;", | |
| "+ if (age < LATEST_VERSION_STALE_THRESHOLD_MS) {", | |
| "+ return mod;", | |
| "+ }", | |
| "+ log.info(() => ({", | |
| "+ message: 'refreshing stale latest package',", | |
| "+ pkg,", | |
| "+ version,", | |
| "+ ageMs: age,", | |
| "+ threshold: LATEST_VERSION_STALE_THRESHOLD_MS,", | |
| "+ }));", | |
| "+ }", | |
| "+ // ... continue with installation ...", | |
| "+}", | |
| "+```", | |
| "+", | |
| "+This ensures users who installed `@ai-sdk/openai-compatible` when v1.x was \"latest\" will automatically get v2.x (with v3 spec support) on next CLI run.", | |
| "+", | |
| "+### 2. AI SDK Warning Suppression (Fallback) (`js/src/flag/flag.ts`)", | |
| "+", | |
| "+Added `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default as a fallback:", | |
| "+", | |
| "+```typescript", | |
| " export function initAISDKWarnings(): void {", | |
| " const enableWarnings = truthy('AGENT_ENABLE_AI_SDK_WARNINGS');", | |
| " if (!enableWarnings && (globalThis as any).AI_SDK_LOG_WARNINGS === undefined) {" | |
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| "+### 3. Early Initialization (`js/src/index.js`)", | |
| " ", | |
| " Call `Flag.initAISDKWarnings()` at the very start of the CLI, before any AI SDK imports:", | |
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| "+### 4. Cache Warning Level Change (`js/src/provider/models.ts`)", | |
| " ", | |
| " Changed the cache fallback message from `warn` to `info` level since using bundled data is expected behavior:", | |
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| " ", | |
| "+The root cause fix (staleness check) ensures users get updated packages automatically. The warning suppression is kept as a fallback for edge cases where the updated package still triggers warnings.", | |
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| " The echo and cache providers already correctly implement `specificationVersion: 'v2'` in their model implementations, but since they are internal synthetic providers, they don't trigger the external warning." | |
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| "content": "diff --git a/docs/case-studies/issue-177/README.md b/docs/case-studies/issue-177/README.md\nindex 0fb2454..6870286 100644\n--- a/docs/case-studies/issue-177/README.md\n+++ b/docs/case-studies/issue-177/README.md\n@@ -56,12 +56,18 @@ This is an informational message from Vercel's AI SDK that appears the first tim\n AI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \"specificationVersion\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\n ```\n \n-**Root Cause:**\n-The AI SDK v6 uses `specificationVersion: 'v3'` but the OpenCode provider (`@ai-sdk/openai-compatible`) returns a model using the older `v2` specification. This triggers a compatibility warning added in [vercel/ai#10770](https://github.com/vercel/ai/pull/10770).\n+**Root Cause Analysis (Updated 2026-02-15):**\n+\n+After deep investigation, the **actual root cause** was discovered:\n+\n+1. The upstream `@ai-sdk/openai-compatible` package **already supports v3** - I verified the current source code shows `specificationVersion = 'v3'` (v2.x releases).\n+2. However, users who installed the CLI when v1.x was \"latest\" have an **outdated cached version** because `BunProc.install()` with `'latest'` doesn't update if `package.json` already has `\"latest\"` as the version string.\n+3. The warning appears because the cached v1.x package implements `specificationVersion: 'v2'`.\n \n **Technical Details:**\n - AI SDK 6.x expects `specificationVersion: 'v3'`\n-- The `@ai-sdk/openai-compatible` provider package implements `specificationVersion: 'v2'`\n+- `@ai-sdk/openai-compatible` v2.x implements `specificationVersion: 'v3'` (FIXED UPSTREAM)\n+- `@ai-sdk/openai-compatible` v1.x implements `specificationVersion: 'v2'` (OLD)\n - SDK runs v2 models in compatibility mode, triggering this warning\n - The warning appears for each model instantiation (appears twice in the log)\n \n@@ -110,12 +116,21 @@ This warning is logged the first time the AI SDK logs any warning. It's informat\n \n ### Warning 3: specificationVersion Compatibility Mode\n \n-**Code Location:** External - `@ai-sdk/openai-compatible` package\n+**Code Location:** `js/src/bun/index.ts:144-157` (root cause) and External - `@ai-sdk/openai-compatible` package\n \n The warning is triggered because:\n 1. AI SDK 6.x expects models to implement `specificationVersion: 'v3'`\n-2. `@ai-sdk/openai-compatible` still implements `specificationVersion: 'v2'`\n-3. The SDK detects this mismatch and logs a warning\n+2. The upstream `@ai-sdk/openai-compatible` v2.x **already supports v3** (verified in source)\n+3. However, users with cached v1.x packages don't get updated because `BunProc.install()` with `'latest'` version doesn't refresh when the package.json already has `\"latest\"` recorded\n+4. The SDK detects the v2 spec in the outdated cached package and logs a warning\n+\n+**Root Cause Code:**\n+```typescript\n+// js/src/bun/index.ts line 157 (BEFORE FIX)\n+if (parsed.dependencies[pkg] === version) return mod;\n+// When version === 'latest' and pkg already has 'latest' in dependencies,\n+// returns early without checking if there's a newer version available\n+```\n \n ## Proposed Solutions\n \n@@ -154,23 +169,32 @@ The warning is triggered because:\n - May hide legitimate warnings\n - Should be configurable rather than always suppressed\n \n-### Solution 4: Report Issue to Vercel AI SDK (External)\n+### Solution 4: Report Issue to Vercel AI SDK (External) - ALREADY FIXED\n \n **Approach:** File an issue to request `@ai-sdk/openai-compatible` be updated to v3 specification.\n \n+**Status:** The upstream package **already supports v3** in v2.x releases (verified 2026-02-15).\n+\n+### Solution 5: Fix Package Staleness Check (Internal) - ROOT CAUSE FIX\n+\n+**Approach:** Update `BunProc.install()` to refresh 'latest' packages periodically (every 24 hours).\n+\n+**Code Location:** `js/src/bun/index.ts`\n+\n **Pros:**\n-- Fixes root cause upstream\n-- Benefits all users of the package\n+- Fixes the actual root cause of the specificationVersion warning\n+- Ensures users get updated packages with bug fixes and security patches\n+- No suppression of legitimate warnings needed\n \n **Cons:**\n-- Dependent on external timeline\n-- May take time to be released\n+- Slightly longer startup time when packages need refresh\n+- Requires tracking installation timestamps\n \n ## Recommended Implementation\n \n-1. **Immediate:** Suppress AI SDK warnings via environment variable or global flag\n-2. **Short-term:** Improve cache error handling with better fallback messaging\n-3. **Long-term:** File issue with Vercel AI SDK for specificationVersion upgrade\n+1. **Immediate (Solution 5):** Fix package staleness check to refresh 'latest' packages\n+2. **Short-term:** Change cache fallback message from `warn` to `info` level\n+3. **Fallback:** Keep AI SDK warning suppression as an escape hatch for edge cases\n \n ## Related Resources\n \n@@ -189,9 +213,40 @@ The warning is triggered because:\n \n The following changes were implemented to fix the warnings:\n \n-### 1. AI SDK Warning Suppression (`js/src/flag/flag.ts`)\n+### 1. Package Staleness Check (Root Cause Fix) (`js/src/bun/index.ts`)\n \n-Added `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default:\n+Added staleness tracking for 'latest' version packages to ensure users get updated packages:\n+\n+```typescript\n+// Staleness threshold for 'latest' version packages (24 hours)\n+const LATEST_VERSION_STALE_THRESHOLD_MS = 24 * 60 * 60 * 1000;\n+\n+export async function install(pkg: string, version = 'latest') {\n+ // ... existing setup code ...\n+\n+ // For 'latest' version, check if installation is stale and needs refresh\n+ if (version === 'latest' && installTime) {\n+ const age = Date.now() - installTime;\n+ if (age < LATEST_VERSION_STALE_THRESHOLD_MS) {\n+ return mod;\n+ }\n+ log.info(() => ({\n+ message: 'refreshing stale latest package',\n+ pkg,\n+ version,\n+ ageMs: age,\n+ threshold: LATEST_VERSION_STALE_THRESHOLD_MS,\n+ }));\n+ }\n+ // ... continue with installation ...\n+}\n+```\n+\n+This ensures users who installed `@ai-sdk/openai-compatible` when v1.x was \"latest\" will automatically get v2.x (with v3 spec support) on next CLI run.\n+\n+### 2. AI SDK Warning Suppression (Fallback) (`js/src/flag/flag.ts`)\n+\n+Added `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default as a fallback:\n \n ```typescript\n export function initAISDKWarnings(): void {\n@@ -204,7 +259,7 @@ export function initAISDKWarnings(): void {\n \n Users can re-enable warnings by setting `AGENT_ENABLE_AI_SDK_WARNINGS=true`.\n \n-### 2. Early Initialization (`js/src/index.js`)\n+### 3. Early Initialization (`js/src/index.js`)\n \n Call `Flag.initAISDKWarnings()` at the very start of the CLI, before any AI SDK imports:\n \n@@ -215,7 +270,7 @@ import { Flag } from './flag/flag.ts';\n Flag.initAISDKWarnings();\n ```\n \n-### 3. Cache Warning Level Change (`js/src/provider/models.ts`)\n+### 4. Cache Warning Level Change (`js/src/provider/models.ts`)\n \n Changed the cache fallback message from `warn` to `info` level since using bundled data is expected behavior:\n \n@@ -230,4 +285,6 @@ log.info(() => ({\n \n The Agent CLI uses AI SDK v6.0.1 (`\"ai\": \"^6.0.1\"` in package.json). The specificationVersion warning comes from the dynamically installed `@ai-sdk/openai-compatible` package which is used by OpenCode provider.\n \n+The root cause fix (staleness check) ensures users get updated packages automatically. The warning suppression is kept as a fallback for edge cases where the updated package still triggers warnings.\n+\n The echo and cache providers already correctly implement `specificationVersion: 'v2'` in their model implementations, but since they are internal synthetic providers, they don't trigger the external warning.\ndiff --git a/js/src/bun/index.ts b/js/src/bun/index.ts\nindex 1d0cf0b..d401523 100644\n--- a/js/src/bun/index.ts\n+++ b/js/src/bun/index.ts\n@@ -141,6 +141,14 @@ export namespace BunProc {\n return new Promise((resolve) => setTimeout(resolve, ms));\n }\n \n+ /**\n+ * Staleness threshold for 'latest' version packages (24 hours).\n+ * Packages installed as 'latest' will be refreshed after this period.\n+ * This ensures users get updated packages with bug fixes and new features.\n+ * @see https://github.com/link-assistant/agent/issues/177\n+ */\n+ const LATEST_VERSION_STALE_THRESHOLD_MS = 24 * 60 * 60 * 1000;\n+\n export async function install(pkg: string, version = 'latest') {\n const mod = path.join(Global.Path.cache, 'node_modules', pkg);\n \n@@ -150,11 +158,41 @@ export namespace BunProc {\n \n const pkgjson = Bun.file(path.join(Global.Path.cache, 'package.json'));\n const parsed = await pkgjson.json().catch(async () => {\n- const result = { dependencies: {} };\n+ const result = { dependencies: {}, _installTime: {} };\n await Bun.write(pkgjson.name!, JSON.stringify(result, null, 2));\n return result;\n });\n- if (parsed.dependencies[pkg] === version) return mod;\n+\n+ // Initialize _installTime tracking if not present\n+ if (!parsed._installTime) {\n+ parsed._installTime = {};\n+ }\n+\n+ // Check if package is already installed with the requested version\n+ const installedVersion = parsed.dependencies[pkg];\n+ const installTime = parsed._installTime[pkg] as number | undefined;\n+\n+ if (installedVersion === version) {\n+ // For 'latest' version, check if installation is stale and needs refresh\n+ // This ensures users get updated packages with important fixes\n+ // @see https://github.com/link-assistant/agent/issues/177 (specificationVersion v3 support)\n+ if (version === 'latest' && installTime) {\n+ const age = Date.now() - installTime;\n+ if (age < LATEST_VERSION_STALE_THRESHOLD_MS) {\n+ return mod;\n+ }\n+ log.info(() => ({\n+ message: 'refreshing stale latest package',\n+ pkg,\n+ version,\n+ ageMs: age,\n+ threshold: LATEST_VERSION_STALE_THRESHOLD_MS,\n+ }));\n+ } else if (version !== 'latest') {\n+ // For explicit versions, don't reinstall\n+ return mod;\n+ }\n+ }\n \n // Check for dry-run mode\n if (Flag.OPENCODE_DRY_RUN) {\n@@ -205,6 +243,8 @@ export namespace BunProc {\n attempt,\n }));\n parsed.dependencies[pkg] = version;\n+ // Track installation time for 'latest' version staleness checks\n+ parsed._installTime[pkg] = Date.now();\n await Bun.write(pkgjson.name!, JSON.stringify(parsed, null, 2));\n return mod;\n } catch (e) {", | |
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| "stdout": "diff --git a/docs/case-studies/issue-177/README.md b/docs/case-studies/issue-177/README.md\nindex 0fb2454..6870286 100644\n--- a/docs/case-studies/issue-177/README.md\n+++ b/docs/case-studies/issue-177/README.md\n@@ -56,12 +56,18 @@ This is an informational message from Vercel's AI SDK that appears the first tim\n AI SDK Warning (opencode.chat / kimi-k2.5-free): The feature \"specificationVersion\" is used in a compatibility mode. Using v2 specification compatibility mode. Some features may not be available.\n ```\n \n-**Root Cause:**\n-The AI SDK v6 uses `specificationVersion: 'v3'` but the OpenCode provider (`@ai-sdk/openai-compatible`) returns a model using the older `v2` specification. This triggers a compatibility warning added in [vercel/ai#10770](https://github.com/vercel/ai/pull/10770).\n+**Root Cause Analysis (Updated 2026-02-15):**\n+\n+After deep investigation, the **actual root cause** was discovered:\n+\n+1. The upstream `@ai-sdk/openai-compatible` package **already supports v3** - I verified the current source code shows `specificationVersion = 'v3'` (v2.x releases).\n+2. However, users who installed the CLI when v1.x was \"latest\" have an **outdated cached version** because `BunProc.install()` with `'latest'` doesn't update if `package.json` already has `\"latest\"` as the version string.\n+3. The warning appears because the cached v1.x package implements `specificationVersion: 'v2'`.\n \n **Technical Details:**\n - AI SDK 6.x expects `specificationVersion: 'v3'`\n-- The `@ai-sdk/openai-compatible` provider package implements `specificationVersion: 'v2'`\n+- `@ai-sdk/openai-compatible` v2.x implements `specificationVersion: 'v3'` (FIXED UPSTREAM)\n+- `@ai-sdk/openai-compatible` v1.x implements `specificationVersion: 'v2'` (OLD)\n - SDK runs v2 models in compatibility mode, triggering this warning\n - The warning appears for each model instantiation (appears twice in the log)\n \n@@ -110,12 +116,21 @@ This warning is logged the first time the AI SDK logs any warning. It's informat\n \n ### Warning 3: specificationVersion Compatibility Mode\n \n-**Code Location:** External - `@ai-sdk/openai-compatible` package\n+**Code Location:** `js/src/bun/index.ts:144-157` (root cause) and External - `@ai-sdk/openai-compatible` package\n \n The warning is triggered because:\n 1. AI SDK 6.x expects models to implement `specificationVersion: 'v3'`\n-2. `@ai-sdk/openai-compatible` still implements `specificationVersion: 'v2'`\n-3. The SDK detects this mismatch and logs a warning\n+2. The upstream `@ai-sdk/openai-compatible` v2.x **already supports v3** (verified in source)\n+3. However, users with cached v1.x packages don't get updated because `BunProc.install()` with `'latest'` version doesn't refresh when the package.json already has `\"latest\"` recorded\n+4. The SDK detects the v2 spec in the outdated cached package and logs a warning\n+\n+**Root Cause Code:**\n+```typescript\n+// js/src/bun/index.ts line 157 (BEFORE FIX)\n+if (parsed.dependencies[pkg] === version) return mod;\n+// When version === 'latest' and pkg already has 'latest' in dependencies,\n+// returns early without checking if there's a newer version available\n+```\n \n ## Proposed Solutions\n \n@@ -154,23 +169,32 @@ The warning is triggered because:\n - May hide legitimate warnings\n - Should be configurable rather than always suppressed\n \n-### Solution 4: Report Issue to Vercel AI SDK (External)\n+### Solution 4: Report Issue to Vercel AI SDK (External) - ALREADY FIXED\n \n **Approach:** File an issue to request `@ai-sdk/openai-compatible` be updated to v3 specification.\n \n+**Status:** The upstream package **already supports v3** in v2.x releases (verified 2026-02-15).\n+\n+### Solution 5: Fix Package Staleness Check (Internal) - ROOT CAUSE FIX\n+\n+**Approach:** Update `BunProc.install()` to refresh 'latest' packages periodically (every 24 hours).\n+\n+**Code Location:** `js/src/bun/index.ts`\n+\n **Pros:**\n-- Fixes root cause upstream\n-- Benefits all users of the package\n+- Fixes the actual root cause of the specificationVersion warning\n+- Ensures users get updated packages with bug fixes and security patches\n+- No suppression of legitimate warnings needed\n \n **Cons:**\n-- Dependent on external timeline\n-- May take time to be released\n+- Slightly longer startup time when packages need refresh\n+- Requires tracking installation timestamps\n \n ## Recommended Implementation\n \n-1. **Immediate:** Suppress AI SDK warnings via environment variable or global flag\n-2. **Short-term:** Improve cache error handling with better fallback messaging\n-3. **Long-term:** File issue with Vercel AI SDK for specificationVersion upgrade\n+1. **Immediate (Solution 5):** Fix package staleness check to refresh 'latest' packages\n+2. **Short-term:** Change cache fallback message from `warn` to `info` level\n+3. **Fallback:** Keep AI SDK warning suppression as an escape hatch for edge cases\n \n ## Related Resources\n \n@@ -189,9 +213,40 @@ The warning is triggered because:\n \n The following changes were implemented to fix the warnings:\n \n-### 1. AI SDK Warning Suppression (`js/src/flag/flag.ts`)\n+### 1. Package Staleness Check (Root Cause Fix) (`js/src/bun/index.ts`)\n \n-Added `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default:\n+Added staleness tracking for 'latest' version packages to ensure users get updated packages:\n+\n+```typescript\n+// Staleness threshold for 'latest' version packages (24 hours)\n+const LATEST_VERSION_STALE_THRESHOLD_MS = 24 * 60 * 60 * 1000;\n+\n+export async function install(pkg: string, version = 'latest') {\n+ // ... existing setup code ...\n+\n+ // For 'latest' version, check if installation is stale and needs refresh\n+ if (version === 'latest' && installTime) {\n+ const age = Date.now() - installTime;\n+ if (age < LATEST_VERSION_STALE_THRESHOLD_MS) {\n+ return mod;\n+ }\n+ log.info(() => ({\n+ message: 'refreshing stale latest package',\n+ pkg,\n+ version,\n+ ageMs: age,\n+ threshold: LATEST_VERSION_STALE_THRESHOLD_MS,\n+ }));\n+ }\n+ // ... continue with installation ...\n+}\n+```\n+\n+This ensures users who installed `@ai-sdk/openai-compatible` when v1.x was \"latest\" will automatically get v2.x (with v3 spec support) on next CLI run.\n+\n+### 2. AI SDK Warning Suppression (Fallback) (`js/src/flag/flag.ts`)\n+\n+Added `Flag.initAISDKWarnings()` function that suppresses AI SDK warnings by default as a fallback:\n \n ```typescript\n export function initAISDKWarnings(): void {\n@@ -204,7 +259,7 @@ export function initAISDKWarnings(): void {\n \n Users can re-enable warnings by setting `AGENT_ENABLE_AI_SDK_WARNINGS=true`.\n \n-### 2. Early Initialization (`js/src/index.js`)\n+### 3. Early Initialization (`js/src/index.js`)\n \n Call `Flag.initAISDKWarnings()` at the very start of the CLI, before any AI SDK imports:\n \n@@ -215,7 +270,7 @@ import { Flag } from './flag/flag.ts';\n Flag.initAISDKWarnings();\n ```\n \n-### 3. Cache Warning Level Change (`js/src/provider/models.ts`)\n+### 4. Cache Warning Level Change (`js/src/provider/models.ts`)\n \n Changed the cache fallback message from `warn` to `info` level since using bundled data is expected behavior:\n \n@@ -230,4 +285,6 @@ log.info(() => ({\n \n The Agent CLI uses AI SDK v6.0.1 (`\"ai\": \"^6.0.1\"` in package.json). The specificationVersion warning comes from the dynamically installed `@ai-sdk/openai-compatible` package which is used by OpenCode provider.\n \n+The root cause fix (staleness check) ensures users get updated packages automatically. The warning suppression is kept as a fallback for edge cases where the updated package still triggers warnings.\n+\n The echo and cache providers already correctly implement `specificationVersion: 'v2'` in their model implementations, but since they are internal synthetic providers, they don't trigger the external warning.\ndiff --git a/js/src/bun/index.ts b/js/src/bun/index.ts\nindex 1d0cf0b..d401523 100644\n--- a/js/src/bun/index.ts\n+++ b/js/src/bun/index.ts\n@@ -141,6 +141,14 @@ export namespace BunProc {\n return new Promise((resolve) => setTimeout(resolve, ms));\n }\n \n+ /**\n+ * Staleness threshold for 'latest' version packages (24 hours).\n+ * Packages installed as 'latest' will be refreshed after this period.\n+ * This ensures users get updated packages with bug fixes and new features.\n+ * @see https://github.com/link-assistant/agent/issues/177\n+ */\n+ const LATEST_VERSION_STALE_THRESHOLD_MS = 24 * 60 * 60 * 1000;\n+\n export async function install(pkg: string, version = 'latest') {\n const mod = path.join(Global.Path.cache, 'node_modules', pkg);\n \n@@ -150,11 +158,41 @@ export namespace BunProc {\n \n const pkgjson = Bun.file(path.join(Global.Path.cache, 'package.json'));\n const parsed = await pkgjson.json().catch(async () => {\n- const result = { dependencies: {} };\n+ const result = { dependencies: {}, _installTime: {} };\n await Bun.write(pkgjson.name!, JSON.stringify(result, null, 2));\n return result;\n });\n- if (parsed.dependencies[pkg] === version) return mod;\n+\n+ // Initialize _installTime tracking if not present\n+ if (!parsed._installTime) {\n+ parsed._installTime = {};\n+ }\n+\n+ // Check if package is already installed with the requested version\n+ const installedVersion = parsed.dependencies[pkg];\n+ const installTime = parsed._installTime[pkg] as number | undefined;\n+\n+ if (installedVersion === version) {\n+ // For 'latest' version, check if installation is stale and needs refresh\n+ // This ensures users get updated packages with important fixes\n+ // @see https://github.com/link-assistant/agent/issues/177 (specificationVersion v3 support)\n+ if (version === 'latest' && installTime) {\n+ const age = Date.now() - installTime;\n+ if (age < LATEST_VERSION_STALE_THRESHOLD_MS) {\n+ return mod;\n+ }\n+ log.info(() => ({\n+ message: 'refreshing stale latest package',\n+ pkg,\n+ version,\n+ ageMs: age,\n+ threshold: LATEST_VERSION_STALE_THRESHOLD_MS,\n+ }));\n+ } else if (version !== 'latest') {\n+ // For explicit versions, don't reinstall\n+ return mod;\n+ }\n+ }\n \n // Check for dry-run mode\n if (Flag.OPENCODE_DRY_RUN) {\n@@ -205,6 +243,8 @@ export namespace BunProc {\n attempt,\n }));\n parsed.dependencies[pkg] = version;\n+ // Track installation time for 'latest' version staleness checks\n+ parsed._installTime[pkg] = Date.now();\n await Bun.write(pkgjson.name!, JSON.stringify(parsed, null, 2));\n return mod;\n } catch (e) {", | |
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| "content": "Refreshing run status every 3 seconds. Press Ctrl+C to quit.\n\n* issue-177-c144aea88339 JS CI/CD Pipeline link-assistant/agent#178 · 22032891706\nTriggered via pull_request about 1 minute ago\n\nJOBS\n✓ Check for Changesets in 15s (ID 63660921859)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Node.js\n ✓ Install dependencies\n ✓ Check for changesets\n ✓ Post Setup Node.js\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n- Instant Release in 0s (ID 63660921930)\n- Create Changeset PR in 0s (ID 63660921950)\n✓ Lint and Format Check in 27s (ID 63660938472)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Node.js\n ✓ Install dependencies\n ✓ Run ESLint\n ✓ Check formatting\n ✓ Check file size limit\n ✓ Post Setup Node.js\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n✓ Unit Tests (Bun on ubuntu-latest) in 13s (ID 63660938479)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n ✓ Install dependencies\n ✓ Run unit tests\n ✓ Commit cached API responses\n ✓ Post Setup Bun\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n* Unit Tests (Bun on windows-latest) (ID 63660938483)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n * Install dependencies\n * Run unit tests\n * Commit cached API responses\n * Post Setup Bun\n * Post Run actions/checkout@v4\n✓ Unit Tests (Bun on macos-latest) in 12s (ID 63660938486)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n ✓ Install dependencies\n ✓ Run unit tests\n - Commit cached API responses\n ✓ Post Setup Bun\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\nRefreshing run status every 3 seconds. Press Ctrl+C to quit.\n\n* issue-177-c144aea88339 JS CI/CD Pipeline link-assistant/agent#178 · 22032891706\nTriggered via pull_request about 1 minute ago\n\nJOBS\n✓ Check for Changesets in 15s (ID 63660921859)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Node.js\n ✓ Install dependencies\n ✓ Check for changesets\n ✓ Post Setup Node.js\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n- Instant Release in 0s (ID 63660921930)\n- Create Changeset PR in 0s (ID 63660921950)\n✓ Lint and Format Check in 27s (ID 63660938472)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Node.js\n ✓ Install dependencies\n ✓ Run ESLint\n ✓ Check formatting\n ✓ Check file size limit\n ✓ Post Setup Node.js\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n✓ Unit Tests (Bun on ubuntu-latest) in 13s (ID 63660938479)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n ✓ Install dependencies\n ✓ Run unit tests\n ✓ Commit cached API responses\n ✓ Post Setup Bun\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n* Unit Tests (Bun on windows-latest) (ID 63660938483)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n * Install dependencies\n * Run unit tests\n * Commit cached API responses\n * Post Setup Bun\n * Post Run actions/checkout@v4\n✓ Unit Tests (Bun on macos-latest) in 12s (ID 63660938486)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n ✓ Install dependencies\n ✓ Run unit tests\n - Commit cached API responses\n ✓ Post Setup Bun\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\nRefreshing run status every 3 seconds. Press Ctrl+C to quit.\n\n* issue-177-c144aea88339 JS CI/CD Pipeline link-assistant/agent#178 · 22032891706\nTriggered via pull_request about 1 minute ago\n\nJOBS\n✓ Check for Changesets in 15s (ID 63660921859)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Node.js\n ✓ Install dependencies\n ✓ Check for changesets\n ✓ Post Setup Node.js\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n- Instant Release in 0s (ID 63660921930)\n- Create Changeset PR in 0s (ID 63660921950)\n✓ Lint and Format Check in 27s (ID 63660938472)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Node.js\n ✓ Install dependencies\n ✓ Run ESLint\n ✓ Check formatting\n ✓ Check file size limit\n ✓ Post Setup Node.js\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n✓ Unit Tests (Bun on ubuntu-latest) in 13s (ID 63660938479)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n ✓ Install dependencies\n ✓ Run unit tests\n ✓ Commit cached API responses\n ✓ Post Setup Bun\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n* Unit Tests (Bun on windows-latest) (ID 63660938483)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n ✓ Install dependencies\n ✓ Run unit tests\n - Commit cached API responses\n ✓ Post Setup Bun\n * Post Run actions/checkout@v4\n✓ Unit Tests (Bun on macos-latest) in 12s (ID 63660938486)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n ✓ Install dependencies\n ✓ Run unit tests\n - Commit cached API responses\n ✓ Post Setup Bun\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n✓ issue-177-c144aea88339 JS CI/CD Pipeline link-assistant/agent#178 · 22032891706\nTriggered via pull_request about 1 minute ago\n\nJOBS\n✓ Check for Changesets in 15s (ID 63660921859)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Node.js\n ✓ Install dependencies\n ✓ Check for changesets\n ✓ Post Setup Node.js\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n- Instant Release in 0s (ID 63660921930)\n- Create Changeset PR in 0s (ID 63660921950)\n✓ Lint and Format Check in 27s (ID 63660938472)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Node.js\n ✓ Install dependencies\n ✓ Run ESLint\n ✓ Check formatting\n ✓ Check file size limit\n ✓ Post Setup Node.js\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n✓ Unit Tests (Bun on ubuntu-latest) in 13s (ID 63660938479)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n ✓ Install dependencies\n ✓ Run unit tests\n ✓ Commit cached API responses\n ✓ Post Setup Bun\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n✓ Unit Tests (Bun on windows-latest) in 1m24s (ID 63660938483)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n ✓ Install dependencies\n ✓ Run unit tests\n - Commit cached API responses\n ✓ Post Setup Bun\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n✓ Unit Tests (Bun on macos-latest) in 12s (ID 63660938486)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n ✓ Install dependencies\n ✓ Run unit tests\n - Commit cached API responses\n ✓ Post Setup Bun\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n- Release in 0s (ID 63660984731)", | |
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| "stdout": "Refreshing run status every 3 seconds. Press Ctrl+C to quit.\n\n* issue-177-c144aea88339 JS CI/CD Pipeline link-assistant/agent#178 · 22032891706\nTriggered via pull_request about 1 minute ago\n\nJOBS\n✓ Check for Changesets in 15s (ID 63660921859)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Node.js\n ✓ Install dependencies\n ✓ Check for changesets\n ✓ Post Setup Node.js\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n- Instant Release in 0s (ID 63660921930)\n- Create Changeset PR in 0s (ID 63660921950)\n✓ Lint and Format Check in 27s (ID 63660938472)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Node.js\n ✓ Install dependencies\n ✓ Run ESLint\n ✓ Check formatting\n ✓ Check file size limit\n ✓ Post Setup Node.js\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n✓ Unit Tests (Bun on ubuntu-latest) in 13s (ID 63660938479)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n ✓ Install dependencies\n ✓ Run unit tests\n ✓ Commit cached API responses\n ✓ Post Setup Bun\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n* Unit Tests (Bun on windows-latest) (ID 63660938483)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n * Install dependencies\n * Run unit tests\n * Commit cached API responses\n * Post Setup Bun\n * Post Run actions/checkout@v4\n✓ Unit Tests (Bun on macos-latest) in 12s (ID 63660938486)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n ✓ Install dependencies\n ✓ Run unit tests\n - Commit cached API responses\n ✓ Post Setup Bun\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\nRefreshing run status every 3 seconds. Press Ctrl+C to quit.\n\n* issue-177-c144aea88339 JS CI/CD Pipeline link-assistant/agent#178 · 22032891706\nTriggered via pull_request about 1 minute ago\n\nJOBS\n✓ Check for Changesets in 15s (ID 63660921859)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Node.js\n ✓ Install dependencies\n ✓ Check for changesets\n ✓ Post Setup Node.js\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n- Instant Release in 0s (ID 63660921930)\n- Create Changeset PR in 0s (ID 63660921950)\n✓ Lint and Format Check in 27s (ID 63660938472)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Node.js\n ✓ Install dependencies\n ✓ Run ESLint\n ✓ Check formatting\n ✓ Check file size limit\n ✓ Post Setup Node.js\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n✓ Unit Tests (Bun on ubuntu-latest) in 13s (ID 63660938479)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n ✓ Install dependencies\n ✓ Run unit tests\n ✓ Commit cached API responses\n ✓ Post Setup Bun\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\n* Unit Tests (Bun on windows-latest) (ID 63660938483)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n * Install dependencies\n * Run unit tests\n * Commit cached API responses\n * Post Setup Bun\n * Post Run actions/checkout@v4\n✓ Unit Tests (Bun on macos-latest) in 12s (ID 63660938486)\n ✓ Set up job\n ✓ Run actions/checkout@v4\n ✓ Setup Bun\n ✓ Install dependencies\n ✓ Run unit tests\n - Commit cached API responses\n ✓ Post Setup Bun\n ✓ Post Run actions/checkout@v4\n ✓ Complete job\nRefreshing run status every 3 seconds. 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| "text": "I've completed all the tasks. Here's a summary of what was done:\n\n## Summary\n\nI addressed the reviewer's feedback on PR #178 asking **\"Why we are suppressing warnings? Can we fix their root cause?\"**\n\n### Key Discovery\n\nAfter deep investigation, I found the **actual root cause** of the `specificationVersion v2 compatibility mode` warning:\n\n1. The upstream `@ai-sdk/openai-compatible` package **already supports v3** (verified in current source code: `specificationVersion = 'v3'` in v2.x releases)\n2. However, `BunProc.install()` with `'latest'` version doesn't refresh when `package.json` already has `\"latest\"` recorded\n3. Users who installed when v1.x was \"latest\" never got updated to v2.x\n\n### Root Cause Fix Implemented\n\nAdded package staleness tracking to `js/src/bun/index.ts`:\n- 24-hour staleness threshold for 'latest' version packages\n- Tracks installation time via `_installTime` metadata\n- Automatically refreshes stale packages on next CLI run\n\n### Changes Made\n\n1. **Root Cause Fix**: `js/src/bun/index.ts` - Package staleness check for 'latest' versions\n2. **Documentation**: Updated `docs/case-studies/issue-177/README.md` with actual root cause findings\n3. **Fallback**: Kept AI SDK warning suppression as an escape hatch for edge cases\n\n### Results\n\n- All CI checks pass ✅\n- PR marked as ready for review\n- Comment added responding to reviewer's question with detailed explanation\n\n**Pull Request**: https://github.com/link-assistant/agent/pull/178" | |
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| "result": "I've completed all the tasks. Here's a summary of what was done:\n\n## Summary\n\nI addressed the reviewer's feedback on PR #178 asking **\"Why we are suppressing warnings? Can we fix their root cause?\"**\n\n### Key Discovery\n\nAfter deep investigation, I found the **actual root cause** of the `specificationVersion v2 compatibility mode` warning:\n\n1. The upstream `@ai-sdk/openai-compatible` package **already supports v3** (verified in current source code: `specificationVersion = 'v3'` in v2.x releases)\n2. However, `BunProc.install()` with `'latest'` version doesn't refresh when `package.json` already has `\"latest\"` recorded\n3. Users who installed when v1.x was \"latest\" never got updated to v2.x\n\n### Root Cause Fix Implemented\n\nAdded package staleness tracking to `js/src/bun/index.ts`:\n- 24-hour staleness threshold for 'latest' version packages\n- Tracks installation time via `_installTime` metadata\n- Automatically refreshes stale packages on next CLI run\n\n### Changes Made\n\n1. **Root Cause Fix**: `js/src/bun/index.ts` - Package staleness check for 'latest' versions\n2. **Documentation**: Updated `docs/case-studies/issue-177/README.md` with actual root cause findings\n3. **Fallback**: Kept AI SDK warning suppression as an escape hatch for edge cases\n\n### Results\n\n- All CI checks pass ✅\n- PR marked as ready for review\n- Comment added responding to reviewer's question with detailed explanation\n\n**Pull Request**: https://github.com/link-assistant/agent/pull/178", | |
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| [2026-02-15T09:01:19.958Z] [INFO] 📌 Result event received, starting 30s stream close timeout (Issue #1280) | |
| [2026-02-15T09:01:19.959Z] [INFO] 💰 Anthropic official cost captured from success result: $3.561069 | |
| [2026-02-15T09:01:19.959Z] [INFO] 📝 Captured result summary from Claude output | |
| [2026-02-15T09:01:20.576Z] [INFO] ✅ Stream closed normally after result event | |
| [2026-02-15T09:01:20.577Z] [INFO] | |
| ✅ Claude command completed | |
| [2026-02-15T09:01:20.577Z] [INFO] 📊 Total messages: 0, Tool uses: 0 | |
| [2026-02-15T09:01:20.689Z] [INFO] | |
| 💰 Token Usage Summary: | |
| [2026-02-15T09:01:20.690Z] [INFO] | |
| 📊 Claude Opus 4.5: | |
| [2026-02-15T09:01:20.691Z] [INFO] Model ID: claude-opus-4-5-20251101 | |
| [2026-02-15T09:01:20.691Z] [INFO] Provider: Anthropic | |
| [2026-02-15T09:01:20.692Z] [INFO] Context window: 200 000 tokens | |
| [2026-02-15T09:01:20.692Z] [INFO] Max output: 64 000 tokens | |
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| [2026-02-15T09:01:20.693Z] [INFO] Output modalities: text | |
| [2026-02-15T09:01:20.693Z] [INFO] Knowledge cutoff: 2025-03-31 | |
| [2026-02-15T09:01:20.693Z] [INFO] Released: 2025-11-01 | |
| [2026-02-15T09:01:20.693Z] [INFO] Capabilities: Attachments, Reasoning, Temperature, Tool calls | |
| [2026-02-15T09:01:20.694Z] [INFO] Open weights: No | |
| [2026-02-15T09:01:20.694Z] [INFO] | |
| [2026-02-15T09:01:20.694Z] [INFO] Usage: | |
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| [2026-02-15T09:01:20.696Z] [INFO] | |
| [2026-02-15T09:01:20.696Z] [INFO] Cost Calculation (USD): | |
| [2026-02-15T09:01:20.696Z] [INFO] Input: 8 tokens × $5/M = $0.000040 | |
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| [2026-02-15T09:01:20.697Z] [INFO] Output: 834 tokens × $25/M = $0.020850 | |
| [2026-02-15T09:01:20.697Z] [INFO] ───────────────────────────────── | |
| [2026-02-15T09:01:20.698Z] [INFO] Total: $5.256404 | |
| [2026-02-15T09:01:20.698Z] [INFO] | |
| 📊 Token Budget Statistics: | |
| [2026-02-15T09:01:20.698Z] [INFO] Context window: | |
| [2026-02-15T09:01:20.698Z] [INFO] Used: 7 738 888 tokens | |
| [2026-02-15T09:01:20.698Z] [INFO] Limit: 200 000 tokens | |
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| [2026-02-15T09:01:20.699Z] [INFO] Used: 834 tokens | |
| [2026-02-15T09:01:20.699Z] [INFO] Limit: 64 000 tokens | |
| [2026-02-15T09:01:20.699Z] [INFO] Ratio: 0.0130 (1.30%) | |
| [2026-02-15T09:01:20.699Z] [INFO] Total session tokens: 238 420 | |
| [2026-02-15T09:01:20.699Z] [INFO] | |
| 💰 Cost estimation: | |
| [2026-02-15T09:01:20.700Z] [INFO] Public pricing estimate: $5.256404 USD | |
| [2026-02-15T09:01:20.700Z] [INFO] Calculated by Anthropic: $3.561069 USD | |
| [2026-02-15T09:01:20.700Z] [INFO] Difference: $-1.695334 (-32.25%) | |
| [2026-02-15T09:01:20.700Z] [INFO] Total tokens: 238 420 | |
| [2026-02-15T09:01:20.701Z] [INFO] | |
| 💡 To continue this session in Claude Code interactive mode: | |
| [2026-02-15T09:01:20.701Z] [INFO] (cd "/tmp/gh-issue-solver-1771145558194" && claude --resume 4f4bbee1-f387-4522-b4b9-b12a458c9f13 --model opus) | |
| [2026-02-15T09:01:20.702Z] [INFO] | |
| 🔍 Checking for uncommitted changes... | |
| [2026-02-15T09:01:20.751Z] [INFO] ✅ No uncommitted changes found | |
| [2026-02-15T09:01:20.753Z] [INFO] No initial commit hash from session, attempting to detect from branch... | |
| [2026-02-15T09:01:20.754Z] [INFO] Attempting to detect CLAUDE.md or .gitkeep commit from branch structure... | |
| [2026-02-15T09:01:20.831Z] [INFO] Neither CLAUDE.md nor .gitkeep exists in current branch | |
| [2026-02-15T09:01:20.832Z] [INFO] Could not safely detect initial commit to revert | |
| [2026-02-15T09:01:20.833Z] [INFO] | |
| === Session Summary === | |
| [2026-02-15T09:01:20.833Z] [INFO] ✅ Session ID: 4f4bbee1-f387-4522-b4b9-b12a458c9f13 | |
| [2026-02-15T09:01:20.833Z] [INFO] ✅ Complete log file: /home/hive/4f4bbee1-f387-4522-b4b9-b12a458c9f13.log | |
| [2026-02-15T09:01:20.833Z] [INFO] | |
| [2026-02-15T09:01:20.833Z] [INFO] 💡 To continue this session in Claude Code interactive mode: | |
| [2026-02-15T09:01:20.833Z] [INFO] | |
| [2026-02-15T09:01:20.834Z] [INFO] (cd "/tmp/gh-issue-solver-1771145558194" && claude --resume 4f4bbee1-f387-4522-b4b9-b12a458c9f13 --model opus) | |
| [2026-02-15T09:01:20.834Z] [INFO] | |
| [2026-02-15T09:01:20.835Z] [INFO] | |
| 🔍 Searching for created pull requests or comments... | |
| [2026-02-15T09:01:21.139Z] [INFO] | |
| 🔍 Checking for pull requests from branch issue-177-c144aea88339... | |
| [2026-02-15T09:01:21.503Z] [INFO] ✅ Found pull request #178: "fix: suppress AI SDK warnings for cleaner CLI output" | |
| [2026-02-15T09:01:22.028Z] [INFO] ✅ PR body already contains issue reference | |
| [2026-02-15T09:01:22.029Z] [INFO] ✅ PR is already ready for review | |
| [2026-02-15T09:01:22.029Z] [INFO] | |
| 📎 Uploading solution draft log to Pull Request... | |
| [2026-02-15T09:01:22.137Z] [INFO] 💰 Calculated cost: $5.256404 |
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