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docs: cross link working w/ memory in tools (#4464)
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@@ -107,7 +107,7 @@ Common use cases:
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config: RunnableConfig,
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) -> list[AnyMessage]:
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# highlight-next-line
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user_name = config.get("configurable", {}).get("user_name")
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user_name = config["configurable"].get("user_name")
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system_msg = f"You are a helpful assistant. User's name is {user_name}"
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return [{"role": "system", "content": system_msg}] + state["messages"]
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@@ -162,7 +162,7 @@ Common use cases:
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})
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```
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## Tools
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## Accessing Context in Tools
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Tools can access context through special parameter **annotations**.
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@@ -183,7 +183,7 @@ Tools can access context through special parameter **annotations**.
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) -> str:
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"""Look up user info."""
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# highlight-next-line
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user_id = config.get("configurable", {}).get("user_id")
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user_id = config["configurable"].get("user_id")
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return "User is John Smith" if user_id == "user_123" else "Unknown user"
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agent = create_react_agent(
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@@ -231,66 +231,6 @@ Tools can access context through special parameter **annotations**.
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})
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```
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### Update Context from Tools
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## Update context from tools
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Tools can modify the agent's state during execution. This is useful for persisting intermediate results or making information accessible to subsequent tools or prompts.
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```python
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from typing import Annotated
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from langchain_core.tools import InjectedToolCallId
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from langchain_core.messages import ToolMessage
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from langgraph.prebuilt import InjectedState
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from langgraph.types import Command
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class CustomState(AgentState):
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# highlight-next-line
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user_name: str
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def get_user_info(
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# highlight-next-line
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tool_call_id: Annotated[str, InjectedToolCallId],
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# highlight-next-line
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config: RunnableConfig
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) -> Command:
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"""Look up user info."""
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# highlight-next-line
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user_id = config.get("configurable", {}).get("user_id")
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name = "John Smith" if user_id == "user_123" else "Unknown user"
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return Command(update={
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# highlight-next-line
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"user_name": name,
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# update the message history
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# highlight-next-line
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"messages": [
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ToolMessage(
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"Successfully looked up user information",
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# highlight-next-line
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tool_call_id=tool_call_id
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)
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]
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})
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def greet(
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# highlight-next-line
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state: Annotated[CustomState, InjectedState]
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) -> str:
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"""Use this to greet the user once you found their info."""
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user_name = state["user_name"]
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return f"Hello {user_name}!"
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agent = create_react_agent(
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model="anthropic:claude-3-7-sonnet-latest",
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tools=[get_user_info, greet],
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# highlight-next-line
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state_schema=CustomState
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)
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agent.invoke(
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{"messages": [{"role": "user", "content": "greet the user"}]},
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# highlight-next-line
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config={"configurable": {"user_id": "user_123"}}
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)
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```
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For more details, see [how to update state from tools](../how-tos/update-state-from-tools.ipynb).
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Tools can update agent's context (state and long-term memory) during execution. This is useful for persisting intermediate results or making information accessible to subsequent tools or prompts. See [Memory](./memory.md#read-short-term) guide for more information.
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