Related Issues (20)
- Slow initialization and invocation of ChatVertexAI with Gemini 1.5 Flash, while VertexAI performs faster HOT 2
- Error in DocumentAI: cannot import IndividualPageSelector
- ChatGoogleGenerativeAI function calling fails with enums in schema
- Model name cannot pass to GemmaLocalHF from langchain_google_vertexai HOT 1
- VertexAICheckGroundingWrapper breaks streaming HOT 4
- system prompt is not working when using ChatGoogleGenerativeAI
- GoogleDriveLoader hardcodes the Scope to a restricted scope HOT 2
- ChatGoogleGenerativeAI invoke docs are missing additional keyword params HOT 1
- MessageToDict() got an unexpected keyword argument 'always_print_fields_with_no_presence' HOT 2
- AttributeError: 'NoneType' object has no attribute 'prompt_feedback' HOT 1
- JSON Deserialization Error When Trying To Run Gemma Through Vertex AI HOT 5
- Discussion: How to implement complex filters for BigQueryVectorStore HOT 2
- Manual assignment of Document IDs in VertexaIVectorStore ignored HOT 1
- ChatGoogleGenerativeAI streaming stopping/freezing before completion HOT 4
- ChatGoogleGenerativeAI not return input/output token count HOT 1
- ChatVertexAI hanging HOT 2
- tool_choice doesnt work on gemini-1.5-flash but works on gemini-1.5-pro HOT 1
- ChatVertexAI doesn't work with tuned model HOT 3
- Error when using Flask, Gemini models(gemini-1.5-pro-001), and NemoGuardRails integrated with each other.
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