Add support for Google AI Studio / Gemini API - #9
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… flavor Phase 3.1 Complete: Python SDK Updates Changes: - Updated flavor_to_provider mapping: 'gemini_chat' now maps to 'gemini' instead of 'vertex' - This enables customers to use Gemini API with simple API key authentication - Separate from Vertex AI which uses GCP credentials Files Modified: - src/freeplay/resources/prompts.py: Changed mapping (1 line) - tests/test_freeplay.py: Updated test data + added test_flavor_to_provider_mapping() - CHANGELOG.md: Updated documentation example Test Results: - 144/144 tests passing (added 1 new test) - Type check: PASSED (0 new errors) - Linting: PASSED - New test specifically validates gemini_chat → gemini mapping Impact: Customers can now use Gemini API templates with API keys: template = client.prompts.get(...) response = template.call(llm_api_key='gemini-api-key') This works alongside existing Vertex AI support which continues to use GCP authentication for customers who prefer that approach.
Add Gemini API provider support and update tests, docs, and REPL argument forwarding in recordings.py, tests/test_freeplay.py, README.md, and MakefileIntroduce 📍Where to StartStart with the Macroscope summarized 14d91b0. |
- Revert flavor mapping to 'vertex' for backward compatibility - Add comprehensive documentation for Gemini vs Vertex AI - Create gemini_api_example.py demonstrating both providers - Update CHANGELOG with additive Gemini API support section - Update README with provider comparison table - Add docstring to CallInfo documenting supported providers - Update Makefile to accept ARGS parameter for repl command BREAKING CHANGE: None - both providers fully supported
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Issue: https://linear.app/freeplay/issue/ENG-4726/add-support-for-google-ai-studio-gemini-api