feat(google-vertexai): Support Non-Google and Model Garden models in Vertex AI - Anthropic integration #6999
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Testing
… a way that makes sense. Add option for fetch() that determines how to handle missing MediaBlobs.
… a way that makes sense. Add option for fetch() that determines how to handle missing MediaBlobs.
Change default action if invalid blob. Add "ignore" action for invalid blobs.
Bug fix for BlobStore.store with how it handles the key
Required making some functions and methods async
# Conflicts (resolved): # libs/langchain-google-common/src/chat_models.ts # libs/langchain-google-common/src/utils/gemini.ts
jacoblee93
reviewed
Nov 5, 2024
jacoblee93
reviewed
Nov 5, 2024
jacoblee93
reviewed
Nov 5, 2024
jacoblee93
reviewed
Nov 5, 2024
jacoblee93
reviewed
Nov 5, 2024
jacoblee93
reviewed
Nov 5, 2024
jacoblee93
reviewed
Nov 5, 2024
jacoblee93
reviewed
Nov 5, 2024
jacoblee93
reviewed
Nov 5, 2024
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@jacoblee93 - Thanks! Very much appreciate the feedback. Any thoughts on the problems with docs? |
5 tasks
jacoblee93
reviewed
Nov 9, 2024
…e plain object instead.
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Fixes #2562
Fixes #6207
The ultimate objective is to add full support to Vertex AI for the various 3P models that are provided via API as well as custom user endpoints they may deploy for personal models
This will be done through an API object that provides methods that both turn the LangChain objects into model-API compatible objects that will be formatted in JSON as well as take the JSON result and convert it to LangChain objects.
In this first batch, we get the Gemini support integrated with this API object and add Anthropic / Claude support.
This work was supported by Google Cloud Credits provided by Google.