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Python: Lab: Updates to GAIA module #1763
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Pull Request Overview
This PR enhances the GAIA benchmark sample implementation by adding support for multiple agent providers (Azure AI and OpenAI), improved telemetry configuration, and support for the new Parquet-based GAIA dataset format.
Key Changes:
- Added modular agent factories for Azure AI and OpenAI providers
- Enhanced telemetry with configurable OTLP endpoint and file export options
- Added support for Parquet format dataset files with fallback to JSONL
- Improved command-line interface with argparse for configurable benchmark runs
Reviewed Changes
Copilot reviewed 6 out of 7 changed files in this pull request and generated 4 comments.
Show a summary per file
| File | Description |
|---|---|
| python/packages/lab/pyproject.toml | Added pyarrow dependency for Parquet support and additional linting rule exclusions |
| python/packages/lab/gaia/samples/openai_agent.py | New factory module for creating OpenAI-based agents with comprehensive documentation |
| python/packages/lab/gaia/samples/gaia_sample.py | Refactored to support multiple providers, CLI args, and improved telemetry configuration |
| python/packages/lab/gaia/samples/azure_ai_agent.py | New factory module for creating Azure AI agents with clear environment variable documentation |
| python/packages/lab/gaia/agent_framework_lab_gaia/gaia.py | Enhanced to support Parquet format and conditional telemetry setup |
| python/packages/lab/gaia/README.md | Removed outdated execution instructions |
Update GAIA module: