Feat/twilio followup #5
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tysonthomas9
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Codex Review: Didn't find any major issues. Breezy! About Codex in GitHubYour team has set up Codex to review pull requests in this repo. Reviews are triggered when you open a pull request for review, mark a draft as ready, or comment "@codex review". If Codex has suggestions, it will comment; otherwise it will react with 👍. Codex can also answer questions or update the PR. Try commenting "@codex fix this CI failure" or "@codex address that feedback". |
- Install Node.js 22.x in final Docker image - Add eval-server build stage and startup script - Configure supervisor to auto-start eval-server - Add nginx proxy routes for eval-server API endpoints - Update service configs with eval-server environment variables
📝 Changes: - Modified Dockerfile.cloudrun to set AUTOMATED_MODE: true in BuildConfig.ts before building DevTools - This ensures DevTools automatically enables evaluation mode and connects to ws://localhost:8082 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
📝 Changes: - Added --auto-open-devtools-for-tabs flag to CHROMIUM_FLAGS - Updated cloudrun-wrapper.sh, service.yaml, and service-secrets.yaml - This ensures DevTools opens automatically when browser starts, allowing immediate connection to eval-server 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
📝 Changes: - Added python3 and python-is-python3 to runtime dependencies in Dockerfile.cloudrun - Required for supervisor devtools-frontend service which runs: python3 -m http.server 8001 - This will allow the custom DevTools frontend to be served properly 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
📝 Changes: - Added --auto-open-devtools-for-tabs flag to hardcoded command in chromium.conf - This will automatically open DevTools when browser starts 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
tysonthomas9
requested review from
Copilot
and removed request for
tysonthomas9
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For now, I can only help with PRs you've created. |
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Pull Request Overview
This PR introduces a comprehensive evaluation server framework in Python that provides a programmatic API for creating and managing LLM agent evaluations via WebSocket connections. The framework includes both a core Python library and an extensive Node.js reference implementation.
Key changes:
- Complete Python evaluation server library with programmatic API
- WebSocket-based client-agent communication with JSON-RPC protocol
- Stack-based evaluation distribution system (LIFO queue)
- Extensive example scripts and evaluation datasets
Reviewed Changes
Copilot reviewed 206 out of 224 changed files in this pull request and generated 4 comments.
Show a summary per file
| File | Description |
|---|---|
| eval-server/python/src/* | Core Python library implementing EvalServer, ClientProxy, and evaluation stack |
| eval-server/python/examples/* | Example scripts demonstrating basic, stack-based, and programmatic evaluation patterns |
| eval-server/python/evals/* | Browsecomp benchmark integration with automatic scoring and dataset loading |
| eval-server/nodejs/src/* | Reference Node.js implementation with CLI, HTTP wrapper, and judge system |
| eval-server/nodejs/evals/* | Comprehensive YAML-based evaluation definitions for web task agents |
Files not reviewed (1)
- eval-server/nodejs/package-lock.json: Language not supported
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| """Main function for the browsecomp evaluation server.""" | ||
| return asyncio.run(async_main()) |
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[nitpick] The main() function is unnecessary - it only wraps asyncio.run(async_main()). Consider removing this wrapper and calling asyncio.run(async_main()) directly in the if name == 'main' block.
| "partial_results": partial_count, | ||
| "results_file": results_file if 'results_file' in locals() else None |
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The variable 'partial_count' is referenced but not defined in this scope. It should likely be calculated from completed_evaluations similar to how it's done earlier in the code.
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