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docs: create_agent style and clarify system_prompt (#33470)

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Mason Daugherty
2025-10-14 09:56:54 -04:00
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parent fff87e95d1
commit 9105573cb3
1 changed files with 6 additions and 7 deletions
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libs/langchain_v1/langchain/agents/factory.py
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@@ -537,13 +537,12 @@ def create_agent( # noqa: PLR0915
(e.g., `"openai:gpt-4"`), a chat model instance (e.g., `ChatOpenAI()`).
tools: A list of tools, dicts, or callables. If `None` or an empty list,
the agent will consist of a model node without a tool calling loop.
system_prompt: An optional system prompt for the LLM. If provided as a string,
it will be converted to a SystemMessage and added to the beginning
of the message list.
system_prompt: An optional system prompt for the LLM. Prompts are converted to a
`SystemMessage` and added to the beginning of the message list.
middleware: A sequence of middleware instances to apply to the agent.
Middleware can intercept and modify agent behavior at various stages.
response_format: An optional configuration for structured responses.
Can be a ToolStrategy, ProviderStrategy, or a Pydantic model class.
Can be a `ToolStrategy`, `ProviderStrategy`, or a Pydantic model class.
If provided, the agent will handle structured output during the
conversation flow. Raw schemas will be wrapped in an appropriate strategy
based on model capabilities.
@@ -560,14 +559,14 @@ def create_agent( # noqa: PLR0915
This is useful if you want to return directly or run additional processing
on an output.
debug: A flag indicating whether to enable debug mode.
name: An optional name for the CompiledStateGraph.
name: An optional name for the `CompiledStateGraph`.
This name will be automatically used when adding the agent graph to
another graph as a subgraph node - particularly useful for building
multi-agent systems.
cache: An optional BaseCache instance to enable caching of graph execution.
cache: An optional `BaseCache` instance to enable caching of graph execution.
Returns:
A compiled StateGraph that can be used for chat interactions.
A compiled `StateGraph` that can be used for chat interactions.
The agent node calls the language model with the messages list (after applying
the system prompt). If the resulting AIMessage contains `tool_calls`, the graph will