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This commit is contained in:
Sydney Runkle
2026-02-05 09:16:54 -05:00
parent 10224015f3
commit 8ce516c26b
1 changed files with 5 additions and 14 deletions
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19
libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_wrap_model_call_state_update.py
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@@ -5,12 +5,9 @@ state updates alongside the model response.
"""
from collections.abc import Awaitable, Callable
from typing import Any
from langchain_core.language_models.fake_chat_models import GenericFakeChatModel
from langchain_core.messages import AIMessage, AnyMessage, HumanMessage, RemoveMessage
from langgraph.graph.message import add_messages
from typing_extensions import Annotated, Required, TypedDict
from langchain_core.messages import AIMessage, HumanMessage, RemoveMessage
from langchain.agents import AgentState, create_agent
from langchain.agents.middleware.types import (
@@ -70,9 +67,7 @@ class TestBasicStateUpdate:
) -> WrapModelCallResult:
response = handler(request)
# Remove the original human message, add a summary before the AI response
remove_ops = [
RemoveMessage(id=m.id) for m in request.state["messages"] if m.id
]
remove_ops = [RemoveMessage(id=m.id) for m in request.state["messages"] if m.id]
return WrapModelCallResult(
model_response=response,
state_update={
@@ -92,7 +87,7 @@ class TestBasicStateUpdate:
assert messages[0].content == "Response"
def test_state_update_without_messages_key(self) -> None:
"""When state_update doesn't include 'messages', model response messages are used directly."""
"""When state_update doesn't include 'messages', model response messages are used."""
class CustomFieldMiddleware(AgentMiddleware):
def wrap_model_call(
@@ -303,9 +298,7 @@ class TestComposition:
return WrapModelCallResult(
model_response=response,
state_update={
"messages": [
HumanMessage(content="Outer state msg", id="outer-msg")
]
"messages": [HumanMessage(content="Outer state msg", id="outer-msg")]
},
)
@@ -371,9 +364,7 @@ class TestComposition:
response = handler(request)
return WrapModelCallResult(
model_response=response,
state_update={
"messages": [HumanMessage(content="Inner msg", id="inner")]
},
state_update={"messages": [HumanMessage(content="Inner msg", id="inner")]},
)
model = GenericFakeChatModel(messages=iter([AIMessage(content="Hello")]))