diff --git a/docs/docs/concepts/multi_agent.md b/docs/docs/concepts/multi_agent.md index 53f8bb3cd..f4b21d1af 100644 --- a/docs/docs/concepts/multi_agent.md +++ b/docs/docs/concepts/multi_agent.md @@ -498,15 +498,14 @@ In this variant of the [supervisor](#supervisor) architecture, we define a super :::python ```python -from typing import Annotated from langchain_openai import ChatOpenAI -from langgraph.prebuilt import InjectedState, create_react_agent +from langgraph.prebuilt import create_react_agent model = ChatOpenAI() # this is the agent function that will be called as tool -# notice that you can pass the state to the tool via InjectedState annotation -def agent_1(state: Annotated[dict, InjectedState]): +# notice that you can pass the state to the tool via the reserved keyword 'state' +def agent_1(state): # 'state' is a reserved keyword - automatically injected # you can pass relevant parts of the state to the LLM (e.g., state["messages"]) # and add any additional logic (different models, custom prompts, structured output, etc.) response = model.invoke(...) @@ -515,7 +514,7 @@ def agent_1(state: Annotated[dict, InjectedState]): # by the prebuilt create_react_agent (supervisor) return response.content -def agent_2(state: Annotated[dict, InjectedState]): +def agent_2(state): # 'state' is a reserved keyword - automatically injected response = model.invoke(...) return response.content @@ -899,3 +898,4 @@ An agent might need to have a different state schema from the rest of the agents - Define [subgraph](./subgraphs.md) agents with a separate state schema. If there are no shared state keys (channels) between the subgraph and the parent graph, it's important to [add input / output transformations](../how-tos/subgraph.ipynb#different-state-schemas) so that the parent graph knows how to communicate with the subgraphs. - Define agent node functions with a [private input state schema](../how-tos/graph-api.ipynb#pass-private-state-between-nodes) that is distinct from the overall graph state schema. This allows passing information that is only needed for executing that particular agent. +