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style: some cleanup (#33857)
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@@ -1258,10 +1258,10 @@ class ChatOllama(BaseChatModel):
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Args:
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schema: The output schema. Can be passed in as:
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- an OpenAI function/tool schema.
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- a JSON Schema,
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- a `TypedDict` class,
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- or a Pydantic class.
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- An OpenAI function/tool schema.
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- A JSON Schema,
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- A `TypedDict` class,
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- Or a Pydantic class.
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If `schema` is a Pydantic class then the model output will be a
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Pydantic instance of that class, and the model-generated fields will be
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@@ -1284,11 +1284,15 @@ class ChatOllama(BaseChatModel):
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desired schema into the model call.
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include_raw:
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If `False` then only the parsed structured output is returned. If
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an error occurs during model output parsing it will be raised. If `True`
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then both the raw model response (a `BaseMessage`) and the parsed model
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response will be returned. If an error occurs during output parsing it
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will be caught and returned as well.
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If `False` then only the parsed structured output is returned.
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If an error occurs during model output parsing it will be raised.
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If `True` then both the raw model response (a `BaseMessage`) and the
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parsed model response will be returned.
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If an error occurs during output parsing it will be caught and returned
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as well.
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The final output is always a `dict` with keys `'raw'`, `'parsed'`, and
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`'parsing_error'`.
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@@ -3,17 +3,18 @@ requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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authors = []
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name = "langchain-ollama"
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description = "An integration package connecting Ollama and LangChain"
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license = { text = "MIT" }
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readme = "README.md"
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authors = []
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version = "1.0.0"
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requires-python = ">=3.10.0,<4.0.0"
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dependencies = [
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"ollama>=0.6.0,<1.0.0",
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"langchain-core>=1.0.0,<2.0.0",
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]
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name = "langchain-ollama"
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version = "1.0.0"
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description = "An integration package connecting Ollama and LangChain"
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readme = "README.md"
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[project.urls]
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Homepage = "https://docs.langchain.com/oss/python/integrations/providers/ollama"
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