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chore: import upstream snapshot with attribution
2026-07-13 12:37:18 +08:00

2431 lines
77 KiB
Python

import contextlib
import dataclasses
import json
import sys
from functools import partial
from typing import (
Annotated,
Any,
NoReturn,
TypeVar,
)
from unittest.mock import Mock
import pytest
from langchain_core.messages import (
AIMessage,
AnyMessage,
HumanMessage,
RemoveMessage,
ToolCall,
ToolMessage,
)
from langchain_core.runnables.config import RunnableConfig
from langchain_core.tools import BaseTool, InjectedToolArg, ToolException
from langchain_core.tools import tool as dec_tool
from langgraph.config import get_stream_writer
from langgraph.errors import GraphBubbleUp, GraphInterrupt
from langgraph.graph import START, MessagesState, StateGraph
from langgraph.graph.message import REMOVE_ALL_MESSAGES, add_messages
from langgraph.store.base import BaseStore
from langgraph.store.memory import InMemoryStore
from langgraph.types import Command, Send
from pydantic import BaseModel
from pydantic.v1 import BaseModel as BaseModelV1
from typing_extensions import TypedDict
from langgraph.prebuilt import (
InjectedState,
InjectedStore,
ToolNode,
)
from langgraph.prebuilt.tool_node import (
TOOL_CALL_ERROR_TEMPLATE,
ToolInvocationError,
ToolRuntime,
tools_condition,
)
from .messages import _AnyIdHumanMessage, _AnyIdToolMessage
from .model import FakeToolCallingModel
pytestmark = pytest.mark.anyio
def _create_mock_runtime(store: BaseStore | None = None) -> Mock:
"""Create a mock Runtime object for testing ToolNode outside of graph context.
This helper is needed because ToolNode._func expects a Runtime parameter
which is injected by RunnableCallable from config["configurable"]["__pregel_runtime"].
When testing ToolNode directly (outside a graph), we need to provide this manually.
"""
from langgraph.runtime import ExecutionInfo
mock_runtime = Mock()
mock_runtime.store = store
mock_runtime.context = None
mock_runtime.stream_writer = lambda *args, **kwargs: None
mock_runtime.execution_info = ExecutionInfo(
checkpoint_id="test-cp", checkpoint_ns="", task_id="test-task"
)
mock_runtime.server_info = None
return mock_runtime
def _create_config_with_runtime(store: BaseStore | None = None) -> RunnableConfig:
"""Create a RunnableConfig with mock Runtime for testing ToolNode.
Returns:
RunnableConfig with __pregel_runtime in configurable dict.
"""
return {"configurable": {"__pregel_runtime": _create_mock_runtime(store)}}
def tool1(some_val: int, some_other_val: str) -> str:
"""Tool 1 docstring."""
if some_val == 0:
msg = "Test error"
raise ValueError(msg)
return f"{some_val} - {some_other_val}"
async def tool2(some_val: int, some_other_val: str) -> str:
"""Tool 2 docstring."""
if some_val == 0:
msg = "Test error"
raise ToolException(msg)
return f"tool2: {some_val} - {some_other_val}"
async def tool3(some_val: int, some_other_val: str) -> str:
"""Tool 3 docstring."""
return [
{"key_1": some_val, "key_2": "foo"},
{"key_1": some_other_val, "key_2": "baz"},
]
async def tool4(some_val: int, some_other_val: str) -> str:
"""Tool 4 docstring."""
return [
{"type": "image_url", "image_url": {"url": "abdc"}},
]
@dec_tool
def tool5(some_val: int) -> NoReturn:
"""Tool 5 docstring."""
msg = "Test error"
raise ToolException(msg)
tool5.handle_tool_error = "foo"
async def test_tool_node() -> None:
"""Test tool node."""
result = ToolNode([tool1]).invoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool1",
"args": {"some_val": 1, "some_other_val": "foo"},
"id": "some 0",
}
],
)
]
},
config=_create_config_with_runtime(),
)
tool_message: ToolMessage = result["messages"][-1]
assert tool_message.type == "tool"
assert tool_message.content == "1 - foo"
assert tool_message.tool_call_id == "some 0"
result2 = await ToolNode([tool2]).ainvoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool2",
"args": {"some_val": 2, "some_other_val": "bar"},
"id": "some 1",
}
],
)
]
},
config=_create_config_with_runtime(),
)
tool_message: ToolMessage = result2["messages"][-1]
assert tool_message.type == "tool"
assert tool_message.content == "tool2: 2 - bar"
# list of dicts tool content
result3 = await ToolNode([tool3]).ainvoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool3",
"args": {"some_val": 2, "some_other_val": "bar"},
"id": "some 2",
}
],
)
]
},
config=_create_config_with_runtime(),
)
tool_message: ToolMessage = result3["messages"][-1]
assert tool_message.type == "tool"
assert (
tool_message.content
== '[{"key_1": 2, "key_2": "foo"}, {"key_1": "bar", "key_2": "baz"}]'
)
assert tool_message.tool_call_id == "some 2"
# list of content blocks tool content
result4 = await ToolNode([tool4]).ainvoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool4",
"args": {"some_val": 2, "some_other_val": "bar"},
"id": "some 3",
}
],
)
]
},
config=_create_config_with_runtime(),
)
tool_message: ToolMessage = result4["messages"][-1]
assert tool_message.type == "tool"
assert tool_message.content == [{"type": "image_url", "image_url": {"url": "abdc"}}]
assert tool_message.tool_call_id == "some 3"
async def test_tool_node_tool_call_input() -> None:
# Single tool call
tool_call_1 = {
"name": "tool1",
"args": {"some_val": 1, "some_other_val": "foo"},
"id": "some 0",
"type": "tool_call",
}
result = ToolNode([tool1]).invoke(
[tool_call_1], config=_create_config_with_runtime()
)
assert result["messages"] == [
ToolMessage(content="1 - foo", tool_call_id="some 0", name="tool1"),
]
# Multiple tool calls
tool_call_2 = {
"name": "tool1",
"args": {"some_val": 2, "some_other_val": "bar"},
"id": "some 1",
"type": "tool_call",
}
result = ToolNode([tool1]).invoke(
[tool_call_1, tool_call_2], config=_create_config_with_runtime()
)
assert result["messages"] == [
ToolMessage(content="1 - foo", tool_call_id="some 0", name="tool1"),
ToolMessage(content="2 - bar", tool_call_id="some 1", name="tool1"),
]
# Test with unknown tool
tool_call_3 = tool_call_1.copy()
tool_call_3["name"] = "tool2"
result = ToolNode([tool1]).invoke(
[tool_call_1, tool_call_3], config=_create_config_with_runtime()
)
assert result["messages"] == [
ToolMessage(content="1 - foo", tool_call_id="some 0", name="tool1"),
ToolMessage(
content="Error: tool2 is not a valid tool, try one of [tool1].",
name="tool2",
tool_call_id="some 0",
status="error",
),
]
def test_tool_node_error_handling_default_invocation() -> None:
tn = ToolNode([tool1])
result = tn.invoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool1",
"args": {"invalid": 0, "args": "foo"},
"id": "some id",
},
],
)
]
},
config=_create_config_with_runtime(),
)
assert all(m.type == "tool" for m in result["messages"])
assert all(m.status == "error" for m in result["messages"])
assert (
"Error invoking tool 'tool1' with kwargs {'invalid': 0, 'args': 'foo'} with error:\n"
in result["messages"][0].content
)
def test_tool_node_error_handling_default_exception() -> None:
tn = ToolNode([tool1])
with pytest.raises(ValueError):
tn.invoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool1",
"args": {"some_val": 0, "some_other_val": "foo"},
"id": "some id",
},
],
)
]
},
config=_create_config_with_runtime(),
)
async def test_tool_node_error_handling() -> None:
def handle_all(e: ValueError | ToolException | ToolInvocationError):
return TOOL_CALL_ERROR_TEMPLATE.format(error=repr(e))
# test catching all exceptions, via:
# - handle_tool_errors = True
# - passing a tuple of all exceptions
# - passing a callable with all exceptions in the signature
for handle_tool_errors in (
True,
(ValueError, ToolException, ToolInvocationError),
handle_all,
):
result_error = await ToolNode(
[tool1, tool2, tool3], handle_tool_errors=handle_tool_errors
).ainvoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool1",
"args": {"some_val": 0, "some_other_val": "foo"},
"id": "some id",
},
{
"name": "tool2",
"args": {"some_val": 0, "some_other_val": "bar"},
"id": "some other id",
},
{
"name": "tool3",
"args": {"some_val": 0},
"id": "another id",
},
],
)
]
},
config=_create_config_with_runtime(),
)
assert all(m.type == "tool" for m in result_error["messages"])
assert all(m.status == "error" for m in result_error["messages"])
assert (
result_error["messages"][0].content
== f"Error: {ValueError('Test error')!r}\n Please fix your mistakes."
)
assert (
result_error["messages"][1].content
== f"Error: {ToolException('Test error')!r}\n Please fix your mistakes."
)
# Check that the validation error contains the field name
assert "some_other_val" in result_error["messages"][2].content
assert result_error["messages"][0].tool_call_id == "some id"
assert result_error["messages"][1].tool_call_id == "some other id"
assert result_error["messages"][2].tool_call_id == "another id"
async def test_tool_node_error_handling_callable() -> None:
def handle_value_error(e: ValueError) -> str:
return "Value error"
def handle_tool_exception(e: ToolException) -> str:
return "Tool exception"
for handle_tool_errors in ("Value error", handle_value_error):
result_error = await ToolNode(
[tool1], handle_tool_errors=handle_tool_errors
).ainvoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool1",
"args": {"some_val": 0, "some_other_val": "foo"},
"id": "some id",
},
],
)
]
},
config=_create_config_with_runtime(),
)
tool_message: ToolMessage = result_error["messages"][-1]
assert tool_message.type == "tool"
assert tool_message.status == "error"
assert tool_message.content == "Value error"
# test raising for an unhandled exception, via:
# - passing a tuple of all exceptions
# - passing a callable with all exceptions in the signature
for handle_tool_errors in ((ValueError,), handle_value_error):
with pytest.raises(ToolException) as exc_info:
await ToolNode(
[tool1, tool2], handle_tool_errors=handle_tool_errors
).ainvoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool1",
"args": {"some_val": 0, "some_other_val": "foo"},
"id": "some id",
},
{
"name": "tool2",
"args": {"some_val": 0, "some_other_val": "bar"},
"id": "some other id",
},
],
)
]
},
config=_create_config_with_runtime(),
)
assert str(exc_info.value) == "Test error"
for handle_tool_errors in ((ToolException,), handle_tool_exception):
with pytest.raises(ValueError) as exc_info:
await ToolNode(
[tool1, tool2], handle_tool_errors=handle_tool_errors
).ainvoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool1",
"args": {"some_val": 0, "some_other_val": "foo"},
"id": "some id",
},
{
"name": "tool2",
"args": {"some_val": 0, "some_other_val": "bar"},
"id": "some other id",
},
],
)
]
},
config=_create_config_with_runtime(),
)
assert str(exc_info.value) == "Test error"
async def test_tool_node_handle_tool_errors_false() -> None:
with pytest.raises(ValueError) as exc_info:
ToolNode([tool1], handle_tool_errors=False).invoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool1",
"args": {"some_val": 0, "some_other_val": "foo"},
"id": "some id",
}
],
)
]
},
config=_create_config_with_runtime(),
)
assert str(exc_info.value) == "Test error"
with pytest.raises(ToolException):
await ToolNode([tool2], handle_tool_errors=False).ainvoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool2",
"args": {"some_val": 0, "some_other_val": "bar"},
"id": "some id",
}
],
)
]
},
config=_create_config_with_runtime(),
)
assert str(exc_info.value) == "Test error"
# test validation errors get raised if handle_tool_errors is False
with pytest.raises(ToolInvocationError):
ToolNode([tool1], handle_tool_errors=False).invoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool1",
"args": {"some_val": 0},
"id": "some id",
}
],
)
]
},
config=_create_config_with_runtime(),
)
def test_tool_node_individual_tool_error_handling() -> None:
# test error handling on individual tools (and that it overrides overall error handling!)
result_individual_tool_error_handler = ToolNode(
[tool5], handle_tool_errors="bar"
).invoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool5",
"args": {"some_val": 0},
"id": "some 0",
}
],
)
]
},
config=_create_config_with_runtime(),
)
tool_message: ToolMessage = result_individual_tool_error_handler["messages"][-1]
assert tool_message.type == "tool"
assert tool_message.status == "error"
assert tool_message.content == "foo"
assert tool_message.tool_call_id == "some 0"
def test_tool_node_incorrect_tool_name() -> None:
result_incorrect_name = ToolNode([tool1, tool2]).invoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool3",
"args": {"some_val": 1, "some_other_val": "foo"},
"id": "some 0",
}
],
)
]
},
config=_create_config_with_runtime(),
)
tool_message: ToolMessage = result_incorrect_name["messages"][-1]
assert tool_message.type == "tool"
assert tool_message.status == "error"
assert (
tool_message.content
== "Error: tool3 is not a valid tool, try one of [tool1, tool2]."
)
assert tool_message.tool_call_id == "some 0"
def test_tool_node_node_interrupt() -> None:
def tool_interrupt(some_val: int) -> None:
"""Tool docstring."""
msg = "foo"
raise GraphBubbleUp(msg)
def handle(e: GraphInterrupt) -> str:
return "handled"
for handle_tool_errors in (True, (GraphBubbleUp,), "handled", handle, False):
node = ToolNode([tool_interrupt], handle_tool_errors=handle_tool_errors)
with pytest.raises(GraphBubbleUp) as exc_info:
node.invoke(
{
"messages": [
AIMessage(
"hi?",
tool_calls=[
{
"name": "tool_interrupt",
"args": {"some_val": 0},
"id": "some 0",
}
],
)
]
},
config=_create_config_with_runtime(),
)
assert exc_info.value == "foo"
@pytest.mark.parametrize("input_type", ["dict", "tool_calls"])
async def test_tool_node_command(input_type: str) -> None:
from langchain_core.tools.base import InjectedToolCallId
@dec_tool
def transfer_to_bob(tool_call_id: Annotated[str, InjectedToolCallId]):
"""Transfer to Bob"""
return Command(
update={
"messages": [
ToolMessage(content="Transferred to Bob", tool_call_id=tool_call_id)
]
},
goto="bob",
graph=Command.PARENT,
)
@dec_tool
async def async_transfer_to_bob(tool_call_id: Annotated[str, InjectedToolCallId]):
"""Transfer to Bob"""
return Command(
update={
"messages": [
ToolMessage(content="Transferred to Bob", tool_call_id=tool_call_id)
]
},
goto="bob",
graph=Command.PARENT,
)
class CustomToolSchema(BaseModel):
tool_call_id: Annotated[str, InjectedToolCallId]
class MyCustomTool(BaseTool):
def _run(*args: Any, **kwargs: Any):
return Command(
update={
"messages": [
ToolMessage(
content="Transferred to Bob",
tool_call_id=kwargs["tool_call_id"],
)
]
},
goto="bob",
graph=Command.PARENT,
)
async def _arun(*args: Any, **kwargs: Any):
return Command(
update={
"messages": [
ToolMessage(
content="Transferred to Bob",
tool_call_id=kwargs["tool_call_id"],
)
]
},
goto="bob",
graph=Command.PARENT,
)
custom_tool = MyCustomTool(
name="custom_transfer_to_bob",
description="Transfer to bob",
args_schema=CustomToolSchema,
)
async_custom_tool = MyCustomTool(
name="async_custom_transfer_to_bob",
description="Transfer to bob",
args_schema=CustomToolSchema,
)
# test mixing regular tools and tools returning commands
def add(a: int, b: int) -> int:
"""Add two numbers"""
return a + b
tool_calls = [
{"args": {"a": 1, "b": 2}, "id": "1", "name": "add", "type": "tool_call"},
{"args": {}, "id": "2", "name": "transfer_to_bob", "type": "tool_call"},
]
if input_type == "dict":
input_ = {"messages": [AIMessage("", tool_calls=tool_calls)]}
elif input_type == "tool_calls":
input_ = tool_calls
result = ToolNode([add, transfer_to_bob]).invoke(
input_, config=_create_config_with_runtime()
)
assert result == [
{
"messages": [
ToolMessage(
content="3",
tool_call_id="1",
name="add",
)
]
},
Command(
update={
"messages": [
ToolMessage(
content="Transferred to Bob",
tool_call_id="2",
name="transfer_to_bob",
)
]
},
goto="bob",
graph=Command.PARENT,
),
]
# test tools returning commands
# test sync tools
for tool in [transfer_to_bob, custom_tool]:
result = ToolNode([tool]).invoke(
{
"messages": [
AIMessage(
"", tool_calls=[{"args": {}, "id": "1", "name": tool.name}]
)
]
},
config=_create_config_with_runtime(),
)
assert result == [
Command(
update={
"messages": [
ToolMessage(
content="Transferred to Bob",
tool_call_id="1",
name=tool.name,
)
]
},
goto="bob",
graph=Command.PARENT,
)
]
# test async tools
for tool in [async_transfer_to_bob, async_custom_tool]:
result = await ToolNode([tool]).ainvoke(
{
"messages": [
AIMessage(
"", tool_calls=[{"args": {}, "id": "1", "name": tool.name}]
)
]
},
config=_create_config_with_runtime(),
)
assert result == [
Command(
update={
"messages": [
ToolMessage(
content="Transferred to Bob",
tool_call_id="1",
name=tool.name,
)
]
},
goto="bob",
graph=Command.PARENT,
)
]
# test multiple commands
result = ToolNode([transfer_to_bob, custom_tool]).invoke(
{
"messages": [
AIMessage(
"",
tool_calls=[
{"args": {}, "id": "1", "name": "transfer_to_bob"},
{"args": {}, "id": "2", "name": "custom_transfer_to_bob"},
],
)
]
},
config=_create_config_with_runtime(),
)
assert result == [
Command(
update={
"messages": [
ToolMessage(
content="Transferred to Bob",
tool_call_id="1",
name="transfer_to_bob",
)
]
},
goto="bob",
graph=Command.PARENT,
),
Command(
update={
"messages": [
ToolMessage(
content="Transferred to Bob",
tool_call_id="2",
name="custom_transfer_to_bob",
)
]
},
goto="bob",
graph=Command.PARENT,
),
]
# test validation (mismatch between input type and command.update type)
with pytest.raises(ValueError):
@dec_tool
def list_update_tool(tool_call_id: Annotated[str, InjectedToolCallId]):
"""My tool"""
return Command(
update=[ToolMessage(content="foo", tool_call_id=tool_call_id)]
)
ToolNode([list_update_tool]).invoke(
{
"messages": [
AIMessage(
"",
tool_calls=[
{"args": {}, "id": "1", "name": "list_update_tool"}
],
)
]
},
config=_create_config_with_runtime(),
)
# test validation (missing tool message in the update for current graph)
with pytest.raises(ValueError):
@dec_tool
def no_update_tool():
"""My tool"""
return Command(update={"messages": []})
ToolNode([no_update_tool]).invoke(
{
"messages": [
AIMessage(
"",
tool_calls=[{"args": {}, "id": "1", "name": "no_update_tool"}],
)
]
},
config=_create_config_with_runtime(),
)
# test validation (tool message with a wrong tool call ID)
with pytest.raises(ValueError):
@dec_tool
def mismatching_tool_call_id_tool():
"""My tool"""
return Command(
update={"messages": [ToolMessage(content="foo", tool_call_id="2")]}
)
ToolNode([mismatching_tool_call_id_tool]).invoke(
{
"messages": [
AIMessage(
"",
tool_calls=[
{
"args": {},
"id": "1",
"name": "mismatching_tool_call_id_tool",
}
],
)
]
},
config=_create_config_with_runtime(),
)
# test validation (missing tool message in the update for parent graph is OK)
@dec_tool
def node_update_parent_tool():
"""No update"""
return Command(update={"messages": []}, graph=Command.PARENT)
assert ToolNode([node_update_parent_tool]).invoke(
{
"messages": [
AIMessage(
"",
tool_calls=[
{"args": {}, "id": "1", "name": "node_update_parent_tool"}
],
)
]
},
config=_create_config_with_runtime(),
) == [Command(update={"messages": []}, graph=Command.PARENT)]
async def test_tool_node_command_list_input() -> None:
from langchain_core.tools.base import InjectedToolCallId
@dec_tool
def transfer_to_bob(tool_call_id: Annotated[str, InjectedToolCallId]):
"""Transfer to Bob"""
return Command(
update=[
ToolMessage(content="Transferred to Bob", tool_call_id=tool_call_id)
],
goto="bob",
graph=Command.PARENT,
)
@dec_tool
async def async_transfer_to_bob(tool_call_id: Annotated[str, InjectedToolCallId]):
"""Transfer to Bob"""
return Command(
update=[
ToolMessage(content="Transferred to Bob", tool_call_id=tool_call_id)
],
goto="bob",
graph=Command.PARENT,
)
class CustomToolSchema(BaseModel):
tool_call_id: Annotated[str, InjectedToolCallId]
class MyCustomTool(BaseTool):
def _run(*args: Any, **kwargs: Any):
return Command(
update=[
ToolMessage(
content="Transferred to Bob",
tool_call_id=kwargs["tool_call_id"],
)
],
goto="bob",
graph=Command.PARENT,
)
async def _arun(*args: Any, **kwargs: Any):
return Command(
update=[
ToolMessage(
content="Transferred to Bob",
tool_call_id=kwargs["tool_call_id"],
)
],
goto="bob",
graph=Command.PARENT,
)
custom_tool = MyCustomTool(
name="custom_transfer_to_bob",
description="Transfer to bob",
args_schema=CustomToolSchema,
)
async_custom_tool = MyCustomTool(
name="async_custom_transfer_to_bob",
description="Transfer to bob",
args_schema=CustomToolSchema,
)
# test mixing regular tools and tools returning commands
def add(a: int, b: int) -> int:
"""Add two numbers"""
return a + b
result = ToolNode([add, transfer_to_bob]).invoke(
[
AIMessage(
"",
tool_calls=[
{"args": {"a": 1, "b": 2}, "id": "1", "name": "add"},
{"args": {}, "id": "2", "name": "transfer_to_bob"},
],
)
],
config=_create_config_with_runtime(),
)
assert result == [
[
ToolMessage(
content="3",
tool_call_id="1",
name="add",
)
],
Command(
update=[
ToolMessage(
content="Transferred to Bob",
tool_call_id="2",
name="transfer_to_bob",
)
],
goto="bob",
graph=Command.PARENT,
),
]
# test tools returning commands
# test sync tools
for tool in [transfer_to_bob, custom_tool]:
result = ToolNode([tool]).invoke(
[AIMessage("", tool_calls=[{"args": {}, "id": "1", "name": tool.name}])],
config=_create_config_with_runtime(),
)
assert result == [
Command(
update=[
ToolMessage(
content="Transferred to Bob",
tool_call_id="1",
name=tool.name,
)
],
goto="bob",
graph=Command.PARENT,
)
]
# test async tools
for tool in [async_transfer_to_bob, async_custom_tool]:
result = await ToolNode([tool]).ainvoke(
[AIMessage("", tool_calls=[{"args": {}, "id": "1", "name": tool.name}])],
config=_create_config_with_runtime(),
)
assert result == [
Command(
update=[
ToolMessage(
content="Transferred to Bob",
tool_call_id="1",
name=tool.name,
)
],
goto="bob",
graph=Command.PARENT,
)
]
# test multiple commands
result = ToolNode([transfer_to_bob, custom_tool]).invoke(
[
AIMessage(
"",
tool_calls=[
{"args": {}, "id": "1", "name": "transfer_to_bob"},
{"args": {}, "id": "2", "name": "custom_transfer_to_bob"},
],
)
],
config=_create_config_with_runtime(),
)
assert result == [
Command(
update=[
ToolMessage(
content="Transferred to Bob",
tool_call_id="1",
name="transfer_to_bob",
)
],
goto="bob",
graph=Command.PARENT,
),
Command(
update=[
ToolMessage(
content="Transferred to Bob",
tool_call_id="2",
name="custom_transfer_to_bob",
)
],
goto="bob",
graph=Command.PARENT,
),
]
# test validation (mismatch between input type and command.update type)
with pytest.raises(ValueError):
@dec_tool
def list_update_tool(tool_call_id: Annotated[str, InjectedToolCallId]):
"""My tool"""
return Command(
update={
"messages": [ToolMessage(content="foo", tool_call_id=tool_call_id)]
}
)
ToolNode([list_update_tool]).invoke(
[
AIMessage(
"",
tool_calls=[{"args": {}, "id": "1", "name": "list_update_tool"}],
)
],
config=_create_config_with_runtime(),
)
# test validation (missing tool message in the update for current graph)
with pytest.raises(ValueError):
@dec_tool
def no_update_tool():
"""My tool"""
return Command(update=[])
ToolNode([no_update_tool]).invoke(
[
AIMessage(
"",
tool_calls=[{"args": {}, "id": "1", "name": "no_update_tool"}],
)
],
config=_create_config_with_runtime(),
)
# test validation (tool message with a wrong tool call ID)
with pytest.raises(ValueError):
@dec_tool
def mismatching_tool_call_id_tool():
"""My tool"""
return Command(update=[ToolMessage(content="foo", tool_call_id="2")])
ToolNode([mismatching_tool_call_id_tool]).invoke(
[
AIMessage(
"",
tool_calls=[
{"args": {}, "id": "1", "name": "mismatching_tool_call_id_tool"}
],
)
],
config=_create_config_with_runtime(),
)
# test validation (missing tool message in the update for parent graph is OK)
@dec_tool
def node_update_parent_tool():
"""No update"""
return Command(update=[], graph=Command.PARENT)
assert ToolNode([node_update_parent_tool]).invoke(
[
AIMessage(
"",
tool_calls=[{"args": {}, "id": "1", "name": "node_update_parent_tool"}],
)
],
config=_create_config_with_runtime(),
) == [Command(update=[], graph=Command.PARENT)]
def test_tool_node_parent_command_with_send() -> None:
from langchain_core.tools.base import InjectedToolCallId
@dec_tool
def transfer_to_alice(tool_call_id: Annotated[str, InjectedToolCallId]):
"""Transfer to Alice"""
return Command(
goto=[
Send(
"alice",
{
"messages": [
ToolMessage(
content="Transferred to Alice",
name="transfer_to_alice",
tool_call_id=tool_call_id,
)
]
},
)
],
graph=Command.PARENT,
)
@dec_tool
def transfer_to_bob(tool_call_id: Annotated[str, InjectedToolCallId]):
"""Transfer to Bob"""
return Command(
goto=[
Send(
"bob",
{
"messages": [
ToolMessage(
content="Transferred to Bob",
name="transfer_to_bob",
tool_call_id=tool_call_id,
)
]
},
)
],
graph=Command.PARENT,
)
tool_calls = [
{"args": {}, "id": "1", "name": "transfer_to_alice", "type": "tool_call"},
{"args": {}, "id": "2", "name": "transfer_to_bob", "type": "tool_call"},
]
result = ToolNode([transfer_to_alice, transfer_to_bob]).invoke(
[AIMessage("", tool_calls=tool_calls)],
config=_create_config_with_runtime(),
)
assert result == [
Command(
goto=[
Send(
"alice",
{
"messages": [
ToolMessage(
content="Transferred to Alice",
name="transfer_to_alice",
tool_call_id="1",
)
]
},
),
Send(
"bob",
{
"messages": [
ToolMessage(
content="Transferred to Bob",
name="transfer_to_bob",
tool_call_id="2",
)
]
},
),
],
graph=Command.PARENT,
)
]
async def test_tool_node_command_remove_all_messages() -> None:
from langchain_core.tools.base import InjectedToolCallId
@dec_tool
def remove_all_messages_tool(tool_call_id: Annotated[str, InjectedToolCallId]):
"""A tool that removes all messages."""
return Command(update={"messages": [RemoveMessage(id=REMOVE_ALL_MESSAGES)]})
tool_node = ToolNode([remove_all_messages_tool])
tool_call = {
"name": "remove_all_messages_tool",
"args": {},
"id": "tool_call_123",
}
result = await tool_node.ainvoke(
{"messages": [AIMessage(content="", tool_calls=[tool_call])]},
config=_create_config_with_runtime(),
)
assert isinstance(result, list)
assert len(result) == 1
command = result[0]
assert isinstance(command, Command)
assert command.update == {"messages": [RemoveMessage(id=REMOVE_ALL_MESSAGES)]}
class _InjectStateSchema(TypedDict):
messages: list
foo: str
class _InjectedStatePydanticV2Schema(BaseModel):
messages: list
foo: str
@dataclasses.dataclass
class _InjectedStateDataclassSchema:
messages: list
foo: str
_INJECTED_STATE_SCHEMAS = [
_InjectStateSchema,
_InjectedStatePydanticV2Schema,
_InjectedStateDataclassSchema,
]
if sys.version_info < (3, 14):
class _InjectedStatePydanticSchema(BaseModelV1):
messages: list
foo: str
_INJECTED_STATE_SCHEMAS.append(_InjectedStatePydanticSchema)
T = TypeVar("T")
@pytest.mark.parametrize("schema_", _INJECTED_STATE_SCHEMAS)
def test_tool_node_inject_state(schema_: type[T]) -> None:
def tool1(some_val: int, state: Annotated[T, InjectedState]) -> str:
"""Tool 1 docstring."""
if isinstance(state, dict):
return state["foo"]
return state.foo
def tool2(some_val: int, state: Annotated[T, InjectedState()]) -> str:
"""Tool 2 docstring."""
if isinstance(state, dict):
return state["foo"]
return state.foo
def tool3(
some_val: int,
foo: Annotated[str, InjectedState("foo")],
msgs: Annotated[list[AnyMessage], InjectedState("messages")],
) -> str:
"""Tool 1 docstring."""
return foo
def tool4(
some_val: int, msgs: Annotated[list[AnyMessage], InjectedState("messages")]
) -> str:
"""Tool 1 docstring."""
return msgs[0].content
node = ToolNode([tool1, tool2, tool3, tool4], handle_tool_errors=True)
for tool_name in ("tool1", "tool2", "tool3"):
tool_call = {
"name": tool_name,
"args": {"some_val": 1},
"id": "some 0",
"type": "tool_call",
}
msg = AIMessage("hi?", tool_calls=[tool_call])
result = node.invoke(
schema_(messages=[msg], foo="bar"), config=_create_config_with_runtime()
)
tool_message = result["messages"][-1]
assert tool_message.content == "bar", f"Failed for tool={tool_name}"
if tool_name == "tool3":
failure_input = None
with contextlib.suppress(Exception):
failure_input = schema_(messages=[msg], notfoo="bar")
if failure_input is not None:
with pytest.raises(KeyError):
node.invoke(failure_input, config=_create_config_with_runtime())
with pytest.raises(ValueError):
node.invoke([msg], config=_create_config_with_runtime())
else:
failure_input = None
try:
failure_input = schema_(messages=[msg], notfoo="bar")
except Exception:
# We'd get a validation error from pydantic state and wouldn't make it to the node
# anyway
pass
if failure_input is not None:
messages_ = node.invoke(
failure_input, config=_create_config_with_runtime()
)
tool_message = messages_["messages"][-1]
assert "KeyError" in tool_message.content
tool_message = node.invoke([msg], config=_create_config_with_runtime())[
-1
]
assert "KeyError" in tool_message.content
tool_call = {
"name": "tool4",
"args": {"some_val": 1},
"id": "some 0",
"type": "tool_call",
}
msg = AIMessage("hi?", tool_calls=[tool_call])
result = node.invoke(
schema_(messages=[msg], foo=""), config=_create_config_with_runtime()
)
tool_message = result["messages"][-1]
assert tool_message.content == "hi?"
result = node.invoke([msg], config=_create_config_with_runtime())
tool_message = result[-1]
assert tool_message.content == "hi?"
def test_tool_node_inject_store() -> None:
store = InMemoryStore()
namespace = ("test",)
def tool1(some_val: int, store: Annotated[BaseStore, InjectedStore()]) -> str:
"""Tool 1 docstring."""
store_val = store.get(namespace, "test_key").value["foo"]
return f"Some val: {some_val}, store val: {store_val}"
def tool2(some_val: int, store: Annotated[BaseStore, InjectedStore()]) -> str:
"""Tool 2 docstring."""
store_val = store.get(namespace, "test_key").value["foo"]
return f"Some val: {some_val}, store val: {store_val}"
def tool3(
some_val: int,
bar: Annotated[str, InjectedState("bar")],
store: Annotated[BaseStore, InjectedStore()],
) -> str:
"""Tool 3 docstring."""
store_val = store.get(namespace, "test_key").value["foo"]
return f"Some val: {some_val}, store val: {store_val}, state val: {bar}"
node = ToolNode([tool1, tool2, tool3], handle_tool_errors=True)
store.put(namespace, "test_key", {"foo": "bar"})
class State(MessagesState):
bar: str
builder = StateGraph(State)
builder.add_node("tools", node)
builder.add_edge(START, "tools")
graph = builder.compile(store=store)
for tool_name in ("tool1", "tool2"):
tool_call = {
"name": tool_name,
"args": {"some_val": 1},
"id": "some 0",
"type": "tool_call",
}
msg = AIMessage("hi?", tool_calls=[tool_call])
node_result = node.invoke(
{"messages": [msg]}, config=_create_config_with_runtime(store=store)
)
graph_result = graph.invoke({"messages": [msg]})
for result in (node_result, graph_result):
result["messages"][-1]
tool_message = result["messages"][-1]
assert tool_message.content == "Some val: 1, store val: bar", (
f"Failed for tool={tool_name}"
)
tool_call = {
"name": "tool3",
"args": {"some_val": 1},
"id": "some 0",
"type": "tool_call",
}
msg = AIMessage("hi?", tool_calls=[tool_call])
node_result = node.invoke(
{"messages": [msg], "bar": "baz"},
config=_create_config_with_runtime(store=store),
)
graph_result = graph.invoke({"messages": [msg], "bar": "baz"})
for result in (node_result, graph_result):
result["messages"][-1]
tool_message = result["messages"][-1]
assert tool_message.content == "Some val: 1, store val: bar, state val: baz", (
f"Failed for tool={tool_name}"
)
# test injected store without passing store to compiled graph
failing_graph = builder.compile()
with pytest.raises(ValueError):
failing_graph.invoke({"messages": [msg], "bar": "baz"})
def test_tool_node_ensure_utf8() -> None:
@dec_tool
def get_day_list(days: list[str]) -> list[str]:
"""choose days"""
return days
data = ["星期一", "水曜日", "목요일", "Friday"]
tools = [get_day_list]
tool_calls = [ToolCall(name=get_day_list.name, args={"days": data}, id="test_id")]
outputs: list[ToolMessage] = ToolNode(tools).invoke(
[AIMessage(content="", tool_calls=tool_calls)],
config=_create_config_with_runtime(),
)
assert outputs[0].content == json.dumps(data, ensure_ascii=False)
def test_tool_node_messages_key() -> None:
@dec_tool
def add(a: int, b: int) -> int:
"""Adds a and b."""
return a + b
model = FakeToolCallingModel(
tool_calls=[[ToolCall(name=add.name, args={"a": 1, "b": 2}, id="test_id")]]
)
class State(TypedDict):
subgraph_messages: Annotated[list[AnyMessage], add_messages]
def call_model(state: State) -> dict[str, Any]:
response = model.invoke(state["subgraph_messages"])
model.tool_calls = []
return {"subgraph_messages": response}
builder = StateGraph(State)
builder.add_node("agent", call_model)
builder.add_node("tools", ToolNode([add], messages_key="subgraph_messages"))
builder.add_conditional_edges(
"agent", partial(tools_condition, messages_key="subgraph_messages")
)
builder.add_edge(START, "agent")
builder.add_edge("tools", "agent")
graph = builder.compile()
result = graph.invoke({"subgraph_messages": [HumanMessage(content="hi")]})
assert result["subgraph_messages"] == [
_AnyIdHumanMessage(content="hi"),
AIMessage(
content="hi",
id="0",
tool_calls=[ToolCall(name=add.name, args={"a": 1, "b": 2}, id="test_id")],
),
_AnyIdToolMessage(content="3", name=add.name, tool_call_id="test_id"),
AIMessage(content="hi-hi-3", id="1"),
]
def test_tool_node_stream_writer() -> None:
@dec_tool
def streaming_tool(x: int) -> str:
"""Do something with writer."""
my_writer = get_stream_writer()
for value in ["foo", "bar", "baz"]:
my_writer({"custom_tool_value": value})
return x
tool_node = ToolNode([streaming_tool])
graph = (
StateGraph(MessagesState)
.add_node("tools", tool_node)
.add_edge(START, "tools")
.compile()
)
tool_call = {
"name": "streaming_tool",
"args": {"x": 1},
"id": "1",
"type": "tool_call",
}
inputs = {
"messages": [AIMessage("", tool_calls=[tool_call])],
}
assert list(graph.stream(inputs, stream_mode="custom")) == [
{"custom_tool_value": "foo"},
{"custom_tool_value": "bar"},
{"custom_tool_value": "baz"},
]
assert list(graph.stream(inputs, stream_mode=["custom", "updates"])) == [
("custom", {"custom_tool_value": "foo"}),
("custom", {"custom_tool_value": "bar"}),
("custom", {"custom_tool_value": "baz"}),
(
"updates",
{
"tools": {
"messages": [
_AnyIdToolMessage(
content="1",
name="streaming_tool",
tool_call_id="1",
),
],
},
},
),
]
def test_tool_call_request_setattr_deprecation_warning():
"""Test that ToolCallRequest raises a deprecation warning on direct attribute modification."""
import warnings
from langgraph.prebuilt.tool_node import ToolCallRequest
# Create a mock ToolCall
tool_call = {"name": "test", "args": {"a": 1}, "id": "call_1", "type": "tool_call"}
# Create a ToolCallRequest
request = ToolCallRequest(
tool_call=tool_call,
tool=None,
state={"messages": []},
runtime=None,
)
# Test 1: Direct attribute assignment should raise deprecation warning but still work
with pytest.warns(DeprecationWarning, match="deprecated.*override"):
request.tool_call = {"name": "other", "args": {}, "id": "call_2"}
# Verify the attribute was actually modified
assert request.tool_call == {"name": "other", "args": {}, "id": "call_2"}
# Reset for further tests
with warnings.catch_warnings():
warnings.simplefilter("ignore")
request.tool_call = tool_call
# Test 2: override method should work without warnings
with warnings.catch_warnings(record=True) as w:
warnings.simplefilter("always")
new_tool_call = {
"name": "new_tool",
"args": {"b": 2},
"id": "call_3",
"type": "tool_call",
}
new_request = request.override(tool_call=new_tool_call)
# Verify no warning was raised
assert len(w) == 0
# Verify original is unchanged
assert request.tool_call == tool_call
# Verify new request has updated values
assert new_request.tool_call == new_tool_call
# Test 3: Initialization should not trigger warning
with warnings.catch_warnings(record=True) as w:
warnings.simplefilter("always")
ToolCallRequest(
tool_call=tool_call,
tool=None,
state={"messages": []},
runtime=None,
)
# Verify no warning was raised during initialization
assert len(w) == 0
async def test_tool_node_inject_async_all_types_signature_only() -> None:
"""Test all injection types without @tool decorator."""
store = InMemoryStore()
namespace = ("test",)
store.put(namespace, "test_key", {"store_data": "from_store"})
class TestState(TypedDict):
messages: list
foo: str
bar: int
async def comprehensive_async_tool(
x: int,
whole_state: Annotated[TestState, InjectedState],
foo_field: Annotated[str, InjectedState("foo")],
store: Annotated[BaseStore, InjectedStore()],
runtime: ToolRuntime,
) -> str:
"""Async tool that uses all injection types."""
bar_from_whole = whole_state["bar"]
foo_value = foo_field
store_val = store.get(namespace, "test_key").value["store_data"]
foo_from_runtime = runtime.state["foo"]
tool_call_id = runtime.tool_call_id
return (
f"x={x}, "
f"bar_from_whole={bar_from_whole}, "
f"foo_field={foo_value}, "
f"store={store_val}, "
f"foo_from_runtime={foo_from_runtime}, "
f"tool_call_id={tool_call_id}"
)
node = ToolNode([comprehensive_async_tool], handle_tool_errors=True)
tool_call = {
"name": "comprehensive_async_tool",
"args": {"x": 42},
"id": "test_call_123",
"type": "tool_call",
}
msg = AIMessage("hi?", tool_calls=[tool_call])
config = _create_config_with_runtime(store=store)
result = await node.ainvoke(
{"messages": [msg], "foo": "foo_value", "bar": 99}, config=config
)
tool_message = result["messages"][-1]
assert tool_message.content == (
"x=42, "
"bar_from_whole=99, "
"foo_field=foo_value, "
"store=from_store, "
"foo_from_runtime=foo_value, "
"tool_call_id=test_call_123"
)
async def test_tool_node_inject_async_all_types_with_decorator() -> None:
"""Test all injection types with @tool decorator."""
store = InMemoryStore()
namespace = ("test",)
store.put(namespace, "test_key", {"store_data": "from_store"})
class TestState(TypedDict):
messages: list
foo: str
bar: int
@dec_tool
async def comprehensive_async_tool(
x: int,
whole_state: Annotated[TestState, InjectedState],
foo_field: Annotated[str, InjectedState("foo")],
store: Annotated[BaseStore, InjectedStore()],
runtime: ToolRuntime,
) -> str:
"""Async tool that uses all injection types."""
bar_from_whole = whole_state["bar"]
foo_value = foo_field
store_val = store.get(namespace, "test_key").value["store_data"]
foo_from_runtime = runtime.state["foo"]
tool_call_id = runtime.tool_call_id
return (
f"x={x}, "
f"bar_from_whole={bar_from_whole}, "
f"foo_field={foo_value}, "
f"store={store_val}, "
f"foo_from_runtime={foo_from_runtime}, "
f"tool_call_id={tool_call_id}"
)
node = ToolNode([comprehensive_async_tool], handle_tool_errors=True)
tool_call = {
"name": "comprehensive_async_tool",
"args": {"x": 42},
"id": "test_call_456",
"type": "tool_call",
}
msg = AIMessage("hi?", tool_calls=[tool_call])
config = _create_config_with_runtime(store=store)
result = await node.ainvoke(
{"messages": [msg], "foo": "foo_value", "bar": 99}, config=config
)
tool_message = result["messages"][-1]
assert tool_message.content == (
"x=42, "
"bar_from_whole=99, "
"foo_field=foo_value, "
"store=from_store, "
"foo_from_runtime=foo_value, "
"tool_call_id=test_call_456"
)
async def test_tool_node_inject_async_all_types_with_schema() -> None:
"""Test all injection types with explicit schema."""
store = InMemoryStore()
namespace = ("test",)
store.put(namespace, "test_key", {"store_data": "from_store"})
class TestState(TypedDict):
messages: list
foo: str
bar: int
class ComprehensiveToolSchema(BaseModel):
model_config = {"arbitrary_types_allowed": True}
x: int
whole_state: Annotated[TestState, InjectedState]
foo_field: Annotated[str, InjectedState("foo")]
store: Annotated[BaseStore, InjectedStore()]
runtime: ToolRuntime
@dec_tool(args_schema=ComprehensiveToolSchema)
async def comprehensive_async_tool(
x: int,
whole_state: Annotated[TestState, InjectedState],
foo_field: Annotated[str, InjectedState("foo")],
store: Annotated[BaseStore, InjectedStore()],
runtime: ToolRuntime,
) -> str:
"""Async tool that uses all injection types."""
bar_from_whole = whole_state["bar"]
foo_value = foo_field
store_val = store.get(namespace, "test_key").value["store_data"]
foo_from_runtime = runtime.state["foo"]
tool_call_id = runtime.tool_call_id
return (
f"x={x}, "
f"bar_from_whole={bar_from_whole}, "
f"foo_field={foo_value}, "
f"store={store_val}, "
f"foo_from_runtime={foo_from_runtime}, "
f"tool_call_id={tool_call_id}"
)
node = ToolNode([comprehensive_async_tool], handle_tool_errors=True)
tool_call = {
"name": "comprehensive_async_tool",
"args": {"x": 42},
"id": "test_call_789",
"type": "tool_call",
}
msg = AIMessage("hi?", tool_calls=[tool_call])
config = _create_config_with_runtime(store=store)
result = await node.ainvoke(
{"messages": [msg], "foo": "foo_value", "bar": 99}, config=config
)
tool_message = result["messages"][-1]
assert tool_message.content == (
"x=42, "
"bar_from_whole=99, "
"foo_field=foo_value, "
"store=from_store, "
"foo_from_runtime=foo_value, "
"tool_call_id=test_call_789"
)
async def test_tool_node_tool_runtime_generic() -> None:
"""Test that ToolRuntime with generic type arguments is correctly injected."""
@dataclasses.dataclass
class MyContext:
some_info: str
@dec_tool
def get_info(rt: ToolRuntime[MyContext]):
"""This tool returns info from context."""
return rt.context.some_info
# Create a mock runtime with context
mock_runtime = _create_mock_runtime()
mock_runtime.context = MyContext(some_info="test_info")
config = {"configurable": {"__pregel_runtime": mock_runtime}}
result = await ToolNode([get_info]).ainvoke(
{
"messages": [
AIMessage(
"call tool",
tool_calls=[
{
"name": "get_info",
"args": {},
"id": "call_1",
}
],
)
]
},
config=config,
)
tool_message = result["messages"][-1]
assert tool_message.type == "tool"
assert tool_message.content == "test_info"
assert tool_message.tool_call_id == "call_1"
def test_tool_node_inject_runtime_dynamic_tool_via_wrap_tool_call() -> None:
"""Test that ToolRuntime is injected for dynamically registered tools.
Regression test for https://github.com/langchain-ai/langchain/issues/35305.
When a tool is dynamically provided via wrap_tool_call (not registered at
ToolNode init time), ToolRuntime should still be injected into the tool.
"""
@dec_tool
def static_tool(x: int) -> str:
"""A static tool registered at init."""
return f"static: {x}"
@dec_tool
def dynamic_tool_with_runtime(x: int, runtime: ToolRuntime) -> str:
"""A dynamic tool that needs ToolRuntime injection."""
return f"dynamic: x={x}, tool_call_id={runtime.tool_call_id}"
def wrap_tool_call(request, execute):
"""Middleware that swaps in a dynamic tool."""
if request.tool_call["name"] == "dynamic_tool_with_runtime":
# Override tool to the dynamic one (not registered at init)
new_request = request.override(tool=dynamic_tool_with_runtime)
return execute(new_request)
return execute(request)
# ToolNode only knows about static_tool at init time
tool_node = ToolNode(
[static_tool],
wrap_tool_call=wrap_tool_call,
)
# Verify the dynamic tool is NOT in the tool node's registered tools
assert "dynamic_tool_with_runtime" not in tool_node.tools_by_name
# Call the dynamic tool
tool_call = {
"name": "dynamic_tool_with_runtime",
"args": {"x": 42},
"id": "call_dynamic_1",
"type": "tool_call",
}
msg = AIMessage("", tool_calls=[tool_call])
result = tool_node.invoke(
{"messages": [msg]},
config=_create_config_with_runtime(),
)
# ToolRuntime should be injected and the tool should execute successfully
tool_message = result["messages"][-1]
assert tool_message.content == "dynamic: x=42, tool_call_id=call_dynamic_1"
assert tool_message.tool_call_id == "call_dynamic_1"
async def test_tool_node_inject_runtime_dynamic_tool_via_wrap_tool_call_async() -> None:
"""Test that ToolRuntime is injected for dynamically registered tools (async).
Async version of the regression test for
https://github.com/langchain-ai/langchain/issues/35305.
"""
@dec_tool
def static_tool(x: int) -> str:
"""A static tool registered at init."""
return f"static: {x}"
@dec_tool
async def dynamic_tool_with_runtime(x: int, runtime: ToolRuntime) -> str:
"""A dynamic async tool that needs ToolRuntime injection."""
return f"dynamic: x={x}, tool_call_id={runtime.tool_call_id}"
async def awrap_tool_call(request, execute):
"""Async middleware that swaps in a dynamic tool."""
if request.tool_call["name"] == "dynamic_tool_with_runtime":
new_request = request.override(tool=dynamic_tool_with_runtime)
return await execute(new_request)
return await execute(request)
# ToolNode only knows about static_tool at init time
tool_node = ToolNode(
[static_tool],
awrap_tool_call=awrap_tool_call,
)
# Verify the dynamic tool is NOT in the tool node's registered tools
assert "dynamic_tool_with_runtime" not in tool_node.tools_by_name
# Call the dynamic tool
tool_call = {
"name": "dynamic_tool_with_runtime",
"args": {"x": 42},
"id": "call_dynamic_2",
"type": "tool_call",
}
msg = AIMessage("", tool_calls=[tool_call])
result = await tool_node.ainvoke(
{"messages": [msg]},
config=_create_config_with_runtime(),
)
# ToolRuntime should be injected and the tool should execute successfully
tool_message = result["messages"][-1]
assert tool_message.content == "dynamic: x=42, tool_call_id=call_dynamic_2"
assert tool_message.tool_call_id == "call_dynamic_2"
def test_tool_runtime_defaults_tools_to_empty_list() -> None:
runtime = ToolRuntime(
state={},
context=None,
config={},
stream_writer=lambda *args, **kwargs: None,
tool_call_id=None,
store=None,
)
assert runtime.tools == []
def test_tool_runtime_forwards_execution_info_server_info_and_tools() -> None:
"""Test that execution_info, server_info, and tools are forwarded from Runtime to ToolRuntime."""
from langgraph.runtime import ExecutionInfo, ServerInfo
exec_info = ExecutionInfo(
thread_id="t-1",
checkpoint_id="cp-1",
checkpoint_ns="",
task_id="tk-1",
run_id="r-1",
)
server_info = ServerInfo(assistant_id="asst-1", graph_id="graph-1")
mock_runtime = Mock()
mock_runtime.store = None
mock_runtime.context = None
mock_runtime.stream_writer = lambda *args, **kwargs: None
mock_runtime.execution_info = exec_info
mock_runtime.server_info = server_info
captured: dict = {}
@dec_tool
def info_tool(x: int, runtime: ToolRuntime) -> str:
"""Tool that captures runtime info."""
captured["execution_info"] = runtime.execution_info
captured["server_info"] = runtime.server_info
captured["tools"] = runtime.tools
return "ok"
@dec_tool
def other_tool(y: int) -> str:
"""Another tool available to the runtime."""
return str(y)
node = ToolNode([info_tool, other_tool])
tool_call = {
"name": "info_tool",
"args": {"x": 1},
"id": "call-1",
"type": "tool_call",
}
msg = AIMessage("", tool_calls=[tool_call])
config: RunnableConfig = {"configurable": {"__pregel_runtime": mock_runtime}}
result = node.invoke({"messages": [msg]}, config=config)
assert result["messages"][-1].content == "ok"
assert captured["execution_info"] is exec_info
assert captured["execution_info"].thread_id == "t-1"
assert captured["execution_info"].task_id == "tk-1"
assert captured["server_info"] is server_info
assert captured["server_info"].assistant_id == "asst-1"
assert [tool.name for tool in captured["tools"]] == ["info_tool", "other_tool"]
async def test_tool_runtime_forwards_execution_info_server_info_and_tools_async() -> (
None
):
"""Test that execution_info, server_info, and tools are forwarded in async path."""
from langgraph.runtime import ExecutionInfo, ServerInfo
exec_info = ExecutionInfo(
thread_id="t-2",
checkpoint_id="cp-2",
checkpoint_ns="",
task_id="tk-2",
run_id="r-2",
)
server_info = ServerInfo(assistant_id="asst-2", graph_id="graph-2")
mock_runtime = Mock()
mock_runtime.store = None
mock_runtime.context = None
mock_runtime.stream_writer = lambda *args, **kwargs: None
mock_runtime.execution_info = exec_info
mock_runtime.server_info = server_info
captured: dict = {}
@dec_tool
async def info_tool_async(x: int, runtime: ToolRuntime) -> str:
"""Async tool that captures runtime info."""
captured["execution_info"] = runtime.execution_info
captured["server_info"] = runtime.server_info
captured["tools"] = runtime.tools
return "ok"
@dec_tool
async def other_tool_async(y: int) -> str:
"""Another async tool available to the runtime."""
return str(y)
node = ToolNode([info_tool_async, other_tool_async])
tool_call = {
"name": "info_tool_async",
"args": {"x": 1},
"id": "call-2",
"type": "tool_call",
}
msg = AIMessage("", tool_calls=[tool_call])
config: RunnableConfig = {"configurable": {"__pregel_runtime": mock_runtime}}
result = await node.ainvoke({"messages": [msg]}, config=config)
assert result["messages"][-1].content == "ok"
assert captured["execution_info"] is exec_info
assert captured["execution_info"].thread_id == "t-2"
assert captured["server_info"] is server_info
assert captured["server_info"].graph_id == "graph-2"
assert [tool.name for tool in captured["tools"]] == [
"info_tool_async",
"other_tool_async",
]
# --- InjectedToolArg security tests ---
def test_tool_node_strips_plain_injected_tool_arg() -> None:
"""Plain InjectedToolArg values supplied by the LLM should be stripped."""
@dec_tool
def read_secret(
query: str,
auth: Annotated[dict, InjectedToolArg()],
) -> str:
"""Return secret data based on auth role."""
if auth.get("role") == "admin":
return "ADMIN_SECRET"
return "PUBLIC_DATA"
node = ToolNode([read_secret], handle_tool_errors=True)
# LLM tries to supply the hidden 'auth' field
tool_call = {
"name": "read_secret",
"args": {"query": "hello", "auth": {"role": "admin"}},
"id": "call-1",
"type": "tool_call",
}
msg = AIMessage("", tool_calls=[tool_call])
result = node.invoke({"messages": [msg]}, config=_create_config_with_runtime())
tool_message = result["messages"][-1]
# auth should have been stripped, so tool should fail (missing required arg)
assert "ADMIN_SECRET" not in tool_message.content
def test_tool_node_strips_custom_injected_tool_arg_subclass() -> None:
"""Custom InjectedToolArg subclasses should also be stripped."""
class InjectedAuth(InjectedToolArg):
pass
@dec_tool
def read_secret(
query: str,
auth: Annotated[dict, InjectedAuth()],
) -> str:
"""Return secret data based on auth role."""
if auth.get("role") == "admin":
return "ADMIN_SECRET"
return "PUBLIC_DATA"
node = ToolNode([read_secret], handle_tool_errors=True)
tool_call = {
"name": "read_secret",
"args": {"query": "hello", "auth": {"role": "admin"}},
"id": "call-1",
"type": "tool_call",
}
msg = AIMessage("", tool_calls=[tool_call])
result = node.invoke({"messages": [msg]}, config=_create_config_with_runtime())
tool_message = result["messages"][-1]
assert "ADMIN_SECRET" not in tool_message.content
def test_tool_node_injected_state_overwrites_llm_value() -> None:
"""InjectedState should use graph state, not LLM-supplied values."""
@dec_tool
def read_secret(
query: str,
auth: Annotated[dict, InjectedState("auth")],
) -> str:
"""Return secret data based on auth from graph state."""
if auth.get("role") == "admin":
return "ADMIN_SECRET"
return "PUBLIC_DATA"
node = ToolNode([read_secret])
# LLM tries to supply auth as admin
tool_call = {
"name": "read_secret",
"args": {"query": "hello", "auth": {"role": "admin"}},
"id": "call-1",
"type": "tool_call",
}
msg = AIMessage("", tool_calls=[tool_call])
# Graph state has auth as viewer
result = node.invoke(
{"messages": [msg], "auth": {"role": "viewer"}},
config=_create_config_with_runtime(),
)
tool_message = result["messages"][-1]
assert tool_message.content == "PUBLIC_DATA"
class _ReturningTool(BaseTool):
"""A tool that returns a configured value verbatim."""
name: str = "list_tool"
description: str = "Returns a configured value"
return_value: Any = None
def _run(self, **kwargs: Any) -> Any:
return self.return_value
async def _arun(self, **kwargs: Any) -> Any:
return self.return_value
def _list_tool_call(outer_id: str = "call-1") -> dict[str, Any]:
return {"name": "list_tool", "args": {}, "id": outer_id, "type": "tool_call"}
def _invoke_returning(
return_value: Any,
*,
outer_id: str = "call-1",
handle_tool_errors: bool = True,
) -> Any:
node = ToolNode(
[_ReturningTool(return_value=return_value)],
handle_tool_errors=handle_tool_errors,
)
return node.invoke(
{"messages": [AIMessage("", tool_calls=[_list_tool_call(outer_id)])]},
config=_create_config_with_runtime(),
)
def test_tool_node_list_return_command_and_tool_message() -> None:
"""Valid: tool returns [Command(update={...}), ToolMessage(...)]."""
outer_id = "call-1"
result = _invoke_returning(
[
Command(update={"foo": "bar"}),
ToolMessage(content="done", tool_call_id=outer_id),
]
)
assert isinstance(result, list)
commands = [r for r in result if isinstance(r, Command)]
assert len(commands) == 1
assert commands[0].update == {"foo": "bar"}
non_commands = [r for r in result if not isinstance(r, Command)]
assert len(non_commands) == 1
assert isinstance(non_commands[0], dict)
msgs = non_commands[0]["messages"]
assert len(msgs) == 1
assert isinstance(msgs[0], ToolMessage)
assert msgs[0].content == "done"
assert msgs[0].tool_call_id == outer_id
def test_tool_node_list_return_nested_terminator() -> None:
"""Valid: terminator nested inside Command.update['messages']."""
outer_id = "call-1"
result = _invoke_returning(
[
Command(update={"foo": "bar"}),
Command(
update={
"messages": [ToolMessage(content="done", tool_call_id=outer_id)]
}
),
]
)
assert isinstance(result, list)
commands = [r for r in result if isinstance(r, Command)]
assert len(commands) == 2
updates = [c.update for c in commands]
assert {"foo": "bar"} in updates
msgs_update = next(u for u in updates if "messages" in (u or {}))
assert any(
isinstance(m, ToolMessage) and m.tool_call_id == outer_id
for m in msgs_update["messages"]
)
def test_tool_node_list_return_parent_goto_with_terminator() -> None:
"""Valid: [Command(graph=PARENT, goto=[Send(...)]), ToolMessage(...)]."""
outer_id = "call-1"
result = _invoke_returning(
[
Command(graph=Command.PARENT, goto=[Send("child", {})]),
ToolMessage(content="ok", tool_call_id=outer_id),
]
)
assert isinstance(result, list)
parent_cmds = [
r for r in result if isinstance(r, Command) and r.graph is Command.PARENT
]
assert len(parent_cmds) == 1
assert isinstance(parent_cmds[0].goto, list)
assert any(isinstance(s, Send) for s in parent_cmds[0].goto)
non_commands = [r for r in result if not isinstance(r, Command)]
assert len(non_commands) == 1
def test_tool_node_list_return_no_terminator_raises() -> None:
"""Invalid: list with no terminating ToolMessage."""
with pytest.raises(ValueError, match="0 messages bound to tool_call_id"):
_invoke_returning([Command(update={"foo": "bar"})], handle_tool_errors=False)
def test_tool_node_list_return_multiple_terminators_raises() -> None:
"""Invalid: list with two terminating ToolMessages."""
outer_id = "call-1"
with pytest.raises(ValueError, match="2 messages bound to tool_call_id"):
_invoke_returning(
[
ToolMessage(content="a", tool_call_id=outer_id),
ToolMessage(content="b", tool_call_id=outer_id),
],
handle_tool_errors=False,
)
def test_tool_node_list_return_validation_error_handled() -> None:
"""handle_tool_errors=True converts validation errors to an error ToolMessage."""
result = _invoke_returning([Command(update={"foo": "bar"})])
assert isinstance(result, dict)
msg = result["messages"][0]
assert isinstance(msg, ToolMessage)
assert msg.status == "error"
assert "0 messages bound to tool_call_id" in msg.content
async def test_tool_node_list_return_async_smoke() -> None:
"""Async path parallels sync for the happy case."""
outer_id = "call-1"
node = ToolNode(
[
_ReturningTool(
return_value=[
Command(update={"foo": "bar"}),
ToolMessage(content="done", tool_call_id=outer_id),
]
)
]
)
result = await node.ainvoke(
{"messages": [AIMessage("", tool_calls=[_list_tool_call(outer_id)])]},
config=_create_config_with_runtime(),
)
assert isinstance(result, list)
commands = [r for r in result if isinstance(r, Command)]
assert len(commands) == 1 and commands[0].update == {"foo": "bar"}
def test_tool_node_list_return_mixed_with_regular_tool() -> None:
"""List-returning tool and a regular tool dispatched from the same AIMessage."""
list_tool_id = "call-list"
regular_tool_id = "call-regular"
list_tool = _ReturningTool(
return_value=[
Command(update={"foo": "bar"}),
ToolMessage(content="list done", tool_call_id=list_tool_id),
]
)
def regular_tool(x: int) -> str:
"""A normal tool."""
return f"regular: {x}"
tool_calls = [
{"name": "list_tool", "args": {}, "id": list_tool_id, "type": "tool_call"},
{
"name": "regular_tool",
"args": {"x": 7},
"id": regular_tool_id,
"type": "tool_call",
},
]
node = ToolNode([list_tool, regular_tool])
result = node.invoke(
{"messages": [AIMessage("", tool_calls=tool_calls)]},
config=_create_config_with_runtime(),
)
assert isinstance(result, list)
commands = [r for r in result if isinstance(r, Command)]
assert len(commands) == 1
assert commands[0].update == {"foo": "bar"}
all_msgs = [m for r in result if isinstance(r, dict) for m in r["messages"]]
tool_call_ids = {m.tool_call_id for m in all_msgs}
assert list_tool_id in tool_call_ids
assert regular_tool_id in tool_call_ids