🤖 feat: Support Google Agents, fix Various Provider Configurations #5126
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…upported by langchain, requires PR
owengo
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Jan 21, 2025
…anny-avila#5126) * feat: Refactor ModelEndHandler to collect usage metadata only if it exists * feat: google tool end handling, custom anthropic class for better token ux * refactor: differentiate between client <> request options * feat: initial support for google agents * feat: only cache messages with non-empty text * feat: Cache non-empty messages in chatV2 controller * fix: anthropic llm client options llmConfig * refactor: streamline client options handling in LLM configuration * fix: VertexAI Agent Auth & Tool Handling * fix: additional fields for llmConfig, however customHeaders are not supported by langchain, requires PR * feat: set default location for vertexai LLM configuration * fix: outdated OpenAI Client options for getLLMConfig * chore: agent provider options typing * chore: add note about currently unsupported customHeaders in langchain GenAI client * fix: skip transaction creation when rawAmount is NaN
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Summary
I added initial support for Google agents and improved the handling of LLM configurations in agent initialization. I also made various fixes and optimizations related to client options and message caching.
getLLMConfig.llmConfigfields, noting thatcustomHeadersare not currently supported by LangChain's GenAI Client.Other
chatV2controller to avoid caching empty responses.BaseClientandPluginsClient.Change Type
Checklist