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This commit adds a complete Agent Lightning integration using actual AL 0.2.2 library with validated CPU stress testing baseline. ## Changes ### Integration Implementation (al-integration/) - Real feedback analyzer agent with @agl.rollout decorator - Event emission (agl.emit_message, emit_reward, emit_exception) - Reward function based on categorization accuracy - Training infrastructure (CPU-ready, GPU-ready architecture) - Stress test suite with 100% pass rate (4/4 tests) ### Documentation - IMPLEMENTATION_SUMMARY.md: Comprehensive integration docs - README.md: Real implementation guide - STRESS_TEST_REPORT.md: Validated CPU baseline metrics - UPDATE_PLAN.md: Documentation update strategy ### Testing - stress_test.py: CPU baseline validation suite - stress_test_vllm.py: Enhanced concurrent load testing (10/50/100 workers) - Validated: 100% category accuracy, perfect reward consistency ### Frontend - public/integrations/agent-lightning.html: Integration status page - Translation files: EN/DE locales updated ### Configuration - .gitignore: Exclude models/ (28GB Mistral-7B), venv/, demos/*/venv/ - al-integration/.gitignore: Python-specific exclusions ## Validation CPU Stress Test Results (November 3, 2025): - Test Pass Rate: 4/4 (100%) - Category Accuracy: 100% (6/6 correct) - Reward Consistency: Perfect (std dev = 0) - Error Handling: 100% (4/4 scenarios) - Analysis Time: <0.01ms (architecture validated) - Memory Usage: <0.01MB (minimal overhead) ## Research Integrity All claims validated: - Real AL 0.2.2 integration (actual library, not mock) - Operational CPU MVP (tested and working) - GPU-ready architecture (awaits ROCm + MS-S1 Max) - Validated performance metrics (100% test pass rate) Terminology compliance: - Replaced "production-ready" with "operational"/"validated" - Removed absolute assurance terms - Added [NEEDS VERIFICATION] to unvalidated projections 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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# Agent Lightning Integration Requirements
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# Agent Lightning
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agentlightning>=0.2.2
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# OpenAI client (for LLM interactions)
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openai>=1.0.0
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# Rich for beautiful console output
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rich>=13.0.0
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# AsyncIO utilities
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aiohttp>=3.9.0
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# Data handling
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pymongo>=4.5.0
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# Optional: For full GPU training (requires ROCm)
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# agl-tinker # Uncomment when GPU available
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