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langchain: deprecate create_structured_output_runnable (#20933)
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@ -34,7 +34,7 @@ from langchain.chains.structured_output.base import (
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__all__ = [
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"get_openai_output_parser",
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"create_openai_fn_runnable",
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"create_structured_output_runnable",
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"create_structured_output_runnable", # deprecated
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"create_openai_fn_chain", # deprecated
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"create_structured_output_chain", # deprecated
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"PYTHON_TO_JSON_TYPES", # backwards compatibility
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@ -144,7 +144,7 @@ def create_openai_fn_chain(
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@deprecated(
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since="0.1.1", removal="0.2.0", alternative="create_structured_output_runnable"
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since="0.1.1", removal="0.2.0", alternative="ChatOpenAI.with_structured_output"
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)
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def create_structured_output_chain(
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output_schema: Union[Dict[str, Any], Type[BaseModel]],
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@ -30,15 +30,15 @@ from langchain.output_parsers import (
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@deprecated(
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since="0.1.14",
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message=(
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"LangChain has introduced a method called `with_structured_output` that"
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"is available on ChatModels capable of tool calling."
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"LangChain has introduced a method called `with_structured_output` that "
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"is available on ChatModels capable of tool calling. "
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"You can read more about the method here: "
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"https://python.langchain.com/docs/modules/model_io/chat/structured_output/"
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"Please follow our extraction use case documentation for more guidelines"
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"on how to do information extraction with LLMs."
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"https://python.langchain.com/docs/use_cases/extraction/."
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"https://python.langchain.com/docs/modules/model_io/chat/structured_output/ "
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"Please follow our extraction use case documentation for more guidelines "
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"on how to do information extraction with LLMs. "
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"https://python.langchain.com/docs/use_cases/extraction/. "
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"If you notice other issues, please provide "
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"feedback here:"
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"feedback here: "
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"https://github.com/langchain-ai/langchain/discussions/18154"
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),
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removal="0.3.0",
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@ -146,6 +146,42 @@ def create_openai_fn_runnable(
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return llm.bind(**llm_kwargs_) | output_parser
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@deprecated(
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since="0.1.17",
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message=(
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"LangChain has introduced a method called `with_structured_output` that "
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"is available on ChatModels capable of tool calling. "
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"You can read more about the method here: "
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"https://python.langchain.com/docs/modules/model_io/chat/structured_output/ "
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"Please follow our extraction use case documentation for more guidelines "
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"on how to do information extraction with LLMs. "
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"https://python.langchain.com/docs/use_cases/extraction/. "
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"If you notice other issues, please provide "
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"feedback here: "
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"https://github.com/langchain-ai/langchain/discussions/18154"
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),
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removal="0.3.0",
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pending=True,
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alternative=(
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"""
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from langchain_core.pydantic_v1 import BaseModel, Field
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from langchain_anthropic import ChatAnthropic
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class Joke(BaseModel):
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setup: str = Field(description="The setup of the joke")
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punchline: str = Field(description="The punchline to the joke")
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# Or any other chat model that supports tools.
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# Please reference to to the documentation of structured_output
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# to see an up to date list of which models support
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# with_structured_output.
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model = ChatAnthropic(model="claude-3-opus-20240229", temperature=0)
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structured_llm = model.with_structured_output(Joke)
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structured_llm.invoke("Tell me a joke about cats.
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Make sure to call the Joke function.")
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"""
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),
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)
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def create_structured_output_runnable(
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output_schema: Union[Dict[str, Any], Type[BaseModel]],
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llm: Runnable,
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