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https://github.com/langchain-ai/langgraph.git
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Merge branch 'main' into v1
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@@ -5,6 +5,7 @@ from functools import partial
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from typing import (
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Annotated,
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List,
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Literal,
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Optional,
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Type,
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TypeVar,
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@@ -509,7 +510,7 @@ class CustomStatePydantic(AgentStatePydantic):
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@pytest.mark.parametrize("state_schema", [CustomState, CustomStatePydantic])
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def test_react_agent_update_state(
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sync_checkpointer: BaseCheckpointSaver,
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version: str,
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version: Literal["v1", "v2"],
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state_schema: StateSchemaType,
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) -> None:
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@dec_tool
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@@ -557,7 +558,7 @@ def test_react_agent_update_state(
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version=version,
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)
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config = {"configurable": {"thread_id": "1"}}
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# run until interrpupted
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# Run until interrupted
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agent.invoke({"messages": [("user", "what's my name")]}, config)
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# supply the value for the interrupt
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response = agent.invoke(Command(resume="Archibald"), config)
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@@ -781,8 +782,9 @@ class AgentStateExtraKeyPydantic(AgentStatePydantic):
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"state_schema", [AgentStateExtraKey, AgentStateExtraKeyPydantic]
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)
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def test_create_react_agent_inject_vars(
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version: str, state_schema: StateSchemaType
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version: Literal["v1", "v2"], state_schema: StateSchemaType
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) -> None:
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"""Test that the agent can inject state and store into tool functions."""
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store = InMemoryStore()
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namespace = ("test",)
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store.put(namespace, "test_key", {"bar": 3})
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@@ -817,15 +819,14 @@ def test_create_react_agent_inject_vars(
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model = FakeToolCallingModel(tool_calls=[[tool_call], []])
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agent = create_react_agent(
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model,
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[tool1],
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ToolNode([tool1], handle_tool_errors=False),
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state_schema=state_schema,
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store=store,
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version=version,
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)
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input_message = HumanMessage("hi")
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result = agent.invoke({"messages": [input_message], "foo": 2})
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result = agent.invoke({"messages": [{"role": "user", "content": "hi"}], "foo": 2})
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assert result["messages"] == [
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input_message,
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_AnyIdHumanMessage(content="hi"),
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AIMessage(content="hi", tool_calls=[tool_call], id="0"),
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_AnyIdToolMessage(content="6", name="tool1", tool_call_id="some 0"),
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AIMessage("hi-hi-6", id="1"),
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@@ -1578,13 +1579,14 @@ def test_create_react_agent_inject_vars_with_post_model_hook(
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"type": "tool_call",
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}
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def post_model_hook(state: dict) -> None:
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return
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def post_model_hook(state: dict) -> dict:
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"""Post model hook is injecting a new foo key."""
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return {"foo": 2}
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model = FakeToolCallingModel(tool_calls=[[tool_call], []])
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agent = create_react_agent(
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model,
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[tool1],
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ToolNode([tool1], handle_tool_errors=False),
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state_schema=state_schema,
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store=store,
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post_model_hook=post_model_hook,
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