Add support for Gemini models #129
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…l schema transformation for compatibility with Gemini
… in description and improve any_of handling
…uctor[anthropic] from anthropic's optional dependencies
…r ID in GoogleAugmentedLLM
StreetLamb
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@saqadri any idea when we might see a new version of the lib on pip which includes this? Many thanks guys for your effort. Really appreciated. |
saqadri
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Apr 17, 2025
* feat: add GoogleAugmentedLLM and GoogleSettings * feat: add example for MCP Google Agent with configuration and usage instructions * feat: update GoogleSettings to allow optional API key and enhance tool schema transformation for compatibility with Gemini * feat: add google-genai dependency * refactor: rename project_id to project in MCP agent config schema * feat: enhance transform_mcp_tool_schema to track unsupported keywords in description and improve any_of handling * feat: demonstrate generate_structured in mcp_basic_google_agent example * fix: correct structured output generation in GoogleAugmentedLLM * chore: update instructor dependency to version 1.7.9 and remove instructor[anthropic] from anthropic's optional dependencies * fix: improve error handling and response processing in GoogleAugmentedLLM * fix: remove redundant error handling for missing function call name or ID in GoogleAugmentedLLM
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Add support for Gemini models. Currently, JSON schema is not compatible with Gemini models, so a 'good effort' conversion is used to transform it into a subset of OpenAPI 3.0, which Gemini supports.
Resolves #93, resolves #121.