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types and classes for Google services.","maintainers":[{"name":"hwchase17","email":"hw.chase.17@gmail.com"},{"name":"jacoblee93","email":"jacoblee93@gmail.com"},{"name":"basproul","email":"braceasproul@gmail.com"},{"name":"eric_langchain","email":"eric@langchain.dev"},{"name":"andrewnguonly","email":"andrewnguonly@gmail.com"},{"name":"davidduong","email":"david@duong.cz"},{"name":"maddyadams","email":"madelyn.adams1@gmail.com"},{"name":"sam_noyes","email":"sam@langchain.dev"},{"name":"andy-langchain","email":"andy@langchain.dev"},{"name":"rcasup","email":"ryan.l.casupanan@gmail.com"},{"name":"hntrl","email":"hunter@hntrl.io"},{"name":"christian-bromann","email":"mail@bromann.dev"}],"readme":"# LangChain google-common\n\nThis package contains common resources to access Google AI/ML models\nand other Google services in an auth-independent way.\n\nAI/ML models are supported using the same interface no matter if\nyou are using the Google AI Studio-based version of the model or\nthe Google Cloud Vertex AI version of the model.\n\n## Installation\n\nThis is **not** a stand-alone package since it does not contain code to do\nauthorization.\n\nInstead, you should install _one_ of the following packages:\n\n- @langchain/google-gauth\n- @langchain/google-webauth\n\nSee those packages for details about installation.\n\nThis package does **not** depend on any Google library. Instead, it relies on\nREST calls to Google endpoints. This is deliberate to reduce (sometimes\nconflicting) dependencies and make it usable on platforms that do not include\nfile storage.\n\n## Google services supported\n\n- Gemini model through LLM and Chat classes (both through Google AI Studio and\n  Google Cloud Vertex AI). Including:\n  - Function/Tool support\n\n## Known Limitations\n\n### Tool/Function Schema Limitations\n\nWhen using tools or functions with Gemini models, the following Zod schema features are not supported:\n\n- **Discriminated Unions** (`z.discriminatedUnion()`) - Use flat objects with optional fields instead\n- **Union Types** (`z.union()`) - Use separate optional fields\n- **Positive Refinement** (`z.number().positive()`) - Automatically converted to `z.number().min(0.01)`\n\nFor detailed examples and workarounds, see the Tool Schema Limitations section in the @langchain/google-vertexai or @langchain/google-genai package documentation.\n\n## TODO\n\nTasks and services still to be implemented:\n\n- PaLM Vertex AI support and backwards compatibility\n- PaLM MakerSuite support and backwards compatibility\n- Semantic Retrieval / AQA model\n- PaLM embeddings\n- Gemini embeddings\n- Multimodal embeddings\n- Vertex AI Search\n- Vertex AI Model Garden\n  - Online prediction endpoints\n    - Gemma\n  - Google managed models\n    - Claude\n- AI Studio Tuned Models\n- MakerSuite / Google Drive Hub\n- Google Cloud Vector Store\n","readmeFilename":"README.md"}