feat: Add comprehensive benchmarking system for standard-agent #107
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- Implement BenchmarkRunner with support for ReACT and ReWOO agents - Add deterministic testing with mock components (DeterministicLLM, DeterministicTools, DeterministicReasoner) - Provide CLI interface with configurable scenarios, iterations, and output formats - Include statistical analysis (mean, median, std dev) for performance metrics - Add comprehensive documentation with usage examples and best practices - Integrate Codacy configuration for code quality analysis - Support JSON output for automated CI/CD integration - Implement robust error handling and edge case management This benchmarking system enables consistent performance measurement and comparison across different agent configurations, supporting both development and production monitoring use cases.
Collaborator
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Thanks so much for this PR and for taking the time to contribute to Standard Agent — welcome aboard 🙌 |
Author
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I will go through the review, and let you know what all can be done |
Collaborator
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Hey @aviralgarg05! 👋 Thanks so much for putting this together and contributing to Standard Agent. I can see you've invested significant effort here - the code is well-structured, the docs are thorough, and the implementation is clean. I have left a few comments on the PR, I would be happy to know what you think about them when you get a chance. Welcome to Standard Agent team ! 🙌🚀 |
- Update benchmarking.md to clarify real mode is default, deterministic is opt-in - Fix LiteLLM tests to explicitly pass model parameter - Use pytest.approx for float comparisons in tests
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This benchmarking system enables consistent performance measurement and comparison across different agent configurations, supporting both development and production monitoring use cases.
This is for Hacktoberfest, solving issue #90