providers/common/ai/docs/hooks/index.rst
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The common-ai provider ships hooks that bridge an Airflow connection to a specific
LLM framework's model objects. Each hook is a thin adapter: it reads credentials and
config from the connection, then returns native framework objects (a pydantic_ai
Agent / Model, a LangChain BaseChatModel or Embeddings, an MCP client,
...). Operators and @task decorators in this provider use these hooks internally.
.. list-table:: :header-rows: 1 :widths: 25 75
~airflow.providers.common.ai.hooks.pydantic_ai.PydanticAIHookcommon.ai operators (LLMOperator, AgentOperator,
LLMBranchOperator, ...). Returns a pydantic-ai Agent / Model.~airflow.providers.common.ai.hooks.langchain.LangChainHookRunnable\s, use the
LangChain agent surface, or need LangChain-native chat / embedding model
objects. Independent of the pydantic-ai-backed operators.~airflow.providers.common.ai.hooks.llamaindex.LlamaIndexHookLlamaIndexEmbeddingOperator and
LlamaIndexRetrievalOperator.
Returns LlamaIndex-native BaseEmbedding / LLM objects (OpenAI
by default). For non-OpenAI vendors, pass a pre-built
BaseEmbedding / LLM instance straight to the operator and
bypass the hook... toctree:: :maxdepth: 1 :glob:
*