mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-08-28 10:49:56 +02:00
Change chat executor back
This commit is contained in:
@@ -1,6 +1,6 @@
|
||||
import json
|
||||
import operator
|
||||
from typing import Annotated
|
||||
from typing import Annotated, Sequence, TypedDict
|
||||
|
||||
from langchain.tools.render import format_tool_to_openai_function
|
||||
from langchain_core.agents import AgentAction
|
||||
@@ -23,7 +23,8 @@ def create_function_calling_executor(model, tools):
|
||||
)
|
||||
|
||||
# Define the function that determines whether to continue or not
|
||||
def should_continue(messages):
|
||||
def should_continue(state):
|
||||
messages = state["messages"]
|
||||
last_message = messages[-1]
|
||||
# If there is no function call, then we finish
|
||||
if "function_call" not in last_message.additional_kwargs:
|
||||
@@ -33,18 +34,21 @@ def create_function_calling_executor(model, tools):
|
||||
return "continue"
|
||||
|
||||
# Define the function that calls the model
|
||||
def call_model(messages):
|
||||
def call_model(state):
|
||||
messages = state["messages"]
|
||||
response = model.invoke(messages)
|
||||
# We return a list, because this will get added to the existing list
|
||||
return [response]
|
||||
return {"messages": [response]}
|
||||
|
||||
async def acall_model(messages):
|
||||
async def acall_model(state):
|
||||
messages = state["messages"]
|
||||
response = await model.ainvoke(messages)
|
||||
# We return a list, because this will get added to the existing list
|
||||
return [response]
|
||||
return {"messages": [response]}
|
||||
|
||||
# Define the function to execute tools
|
||||
def _get_action(messages):
|
||||
def _get_action(state):
|
||||
messages = state["messages"]
|
||||
# Based on the continue condition
|
||||
# we know the last message involves a function call
|
||||
last_message = messages[-1]
|
||||
@@ -64,7 +68,7 @@ def create_function_calling_executor(model, tools):
|
||||
# We use the response to create a FunctionMessage
|
||||
function_message = FunctionMessage(content=str(response), name=action.tool)
|
||||
# We return a list, because this will get added to the existing list
|
||||
return [function_message]
|
||||
return {"messages": [function_message]}
|
||||
|
||||
async def acall_tool(state):
|
||||
action = _get_action(state)
|
||||
@@ -73,13 +77,17 @@ def create_function_calling_executor(model, tools):
|
||||
# We use the response to create a FunctionMessage
|
||||
function_message = FunctionMessage(content=str(response), name=action.tool)
|
||||
# We return a list, because this will get added to the existing list
|
||||
return [function_message]
|
||||
return {"messages": [function_message]}
|
||||
|
||||
# Define a new graph with state
|
||||
# We create the AgentState that we will pass around
|
||||
# This simply involves a list of messages
|
||||
# We want steps to return messages to append to the list
|
||||
# So we annotate the messages attribute with operator.add
|
||||
workflow = StateGraph(Annotated[list[BaseMessage], operator.add])
|
||||
class AgentState(TypedDict):
|
||||
messages: Annotated[Sequence[BaseMessage], operator.add]
|
||||
|
||||
# Define a new graph
|
||||
workflow = StateGraph(AgentState)
|
||||
|
||||
# Define the two nodes we will cycle between
|
||||
workflow.add_node("agent", RunnableLambda(call_model, acall_model))
|
||||
|
||||
+92
-62
@@ -1018,73 +1018,103 @@ def test_prebuilt_chat() -> None:
|
||||
tools,
|
||||
)
|
||||
|
||||
assert app.invoke([HumanMessage(content="what is weather in sf")]) == [
|
||||
HumanMessage(content="what is weather in sf"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {"name": "search_api", "arguments": '"query"'}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for query", name="search_api"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {"name": "search_api", "arguments": '"another"'}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for another", name="search_api"),
|
||||
AIMessage(content="answer"),
|
||||
]
|
||||
assert app.invoke(
|
||||
{"messages": [HumanMessage(content="what is weather in sf")]}
|
||||
) == {
|
||||
"messages": [
|
||||
HumanMessage(content="what is weather in sf"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {"name": "search_api", "arguments": '"query"'}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for query", name="search_api"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {"name": "search_api", "arguments": '"another"'}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for another", name="search_api"),
|
||||
AIMessage(content="answer"),
|
||||
]
|
||||
}
|
||||
|
||||
assert [*app.stream([HumanMessage(content="what is weather in sf")])] == [
|
||||
assert [
|
||||
*app.stream({"messages": [HumanMessage(content="what is weather in sf")]})
|
||||
] == [
|
||||
{
|
||||
"agent": [
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {"name": "search_api", "arguments": '"query"'}
|
||||
},
|
||||
)
|
||||
]
|
||||
"agent": {
|
||||
"messages": [
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {
|
||||
"name": "search_api",
|
||||
"arguments": '"query"',
|
||||
}
|
||||
},
|
||||
)
|
||||
]
|
||||
}
|
||||
},
|
||||
{"action": [FunctionMessage(content="result for query", name="search_api")]},
|
||||
{
|
||||
"agent": [
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {
|
||||
"name": "search_api",
|
||||
"arguments": '"another"',
|
||||
}
|
||||
},
|
||||
)
|
||||
]
|
||||
"action": {
|
||||
"messages": [
|
||||
FunctionMessage(content="result for query", name="search_api")
|
||||
]
|
||||
}
|
||||
},
|
||||
{"action": [FunctionMessage(content="result for another", name="search_api")]},
|
||||
{"agent": [AIMessage(content="answer")]},
|
||||
{
|
||||
"__end__": [
|
||||
HumanMessage(content="what is weather in sf"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {"name": "search_api", "arguments": '"query"'}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for query", name="search_api"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {
|
||||
"name": "search_api",
|
||||
"arguments": '"another"',
|
||||
}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for another", name="search_api"),
|
||||
AIMessage(content="answer"),
|
||||
]
|
||||
"agent": {
|
||||
"messages": [
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {
|
||||
"name": "search_api",
|
||||
"arguments": '"another"',
|
||||
}
|
||||
},
|
||||
)
|
||||
]
|
||||
}
|
||||
},
|
||||
{
|
||||
"action": {
|
||||
"messages": [
|
||||
FunctionMessage(content="result for another", name="search_api")
|
||||
]
|
||||
}
|
||||
},
|
||||
{"agent": {"messages": [AIMessage(content="answer")]}},
|
||||
{
|
||||
"__end__": {
|
||||
"messages": [
|
||||
HumanMessage(content="what is weather in sf"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {
|
||||
"name": "search_api",
|
||||
"arguments": '"query"',
|
||||
}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for query", name="search_api"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {
|
||||
"name": "search_api",
|
||||
"arguments": '"another"',
|
||||
}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for another", name="search_api"),
|
||||
AIMessage(content="answer"),
|
||||
]
|
||||
}
|
||||
},
|
||||
]
|
||||
|
||||
+93
-62
@@ -1065,75 +1065,106 @@ async def test_prebuilt_chat() -> None:
|
||||
tools,
|
||||
)
|
||||
|
||||
assert await app.ainvoke([HumanMessage(content="what is weather in sf")]) == [
|
||||
HumanMessage(content="what is weather in sf"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {"name": "search_api", "arguments": '"query"'}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for query", name="search_api"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {"name": "search_api", "arguments": '"another"'}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for another", name="search_api"),
|
||||
AIMessage(content="answer"),
|
||||
]
|
||||
assert await app.ainvoke(
|
||||
{"messages": [HumanMessage(content="what is weather in sf")]}
|
||||
) == {
|
||||
"messages": [
|
||||
HumanMessage(content="what is weather in sf"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {"name": "search_api", "arguments": '"query"'}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for query", name="search_api"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {"name": "search_api", "arguments": '"another"'}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for another", name="search_api"),
|
||||
AIMessage(content="answer"),
|
||||
]
|
||||
}
|
||||
|
||||
assert [
|
||||
c async for c in app.astream([HumanMessage(content="what is weather in sf")])
|
||||
c
|
||||
async for c in app.astream(
|
||||
{"messages": [HumanMessage(content="what is weather in sf")]}
|
||||
)
|
||||
] == [
|
||||
{
|
||||
"agent": [
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {"name": "search_api", "arguments": '"query"'}
|
||||
},
|
||||
)
|
||||
]
|
||||
"agent": {
|
||||
"messages": [
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {
|
||||
"name": "search_api",
|
||||
"arguments": '"query"',
|
||||
}
|
||||
},
|
||||
)
|
||||
]
|
||||
}
|
||||
},
|
||||
{"action": [FunctionMessage(content="result for query", name="search_api")]},
|
||||
{
|
||||
"agent": [
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {
|
||||
"name": "search_api",
|
||||
"arguments": '"another"',
|
||||
}
|
||||
},
|
||||
)
|
||||
]
|
||||
"action": {
|
||||
"messages": [
|
||||
FunctionMessage(content="result for query", name="search_api")
|
||||
]
|
||||
}
|
||||
},
|
||||
{"action": [FunctionMessage(content="result for another", name="search_api")]},
|
||||
{"agent": [AIMessage(content="answer")]},
|
||||
{
|
||||
"__end__": [
|
||||
HumanMessage(content="what is weather in sf"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {"name": "search_api", "arguments": '"query"'}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for query", name="search_api"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {
|
||||
"name": "search_api",
|
||||
"arguments": '"another"',
|
||||
}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for another", name="search_api"),
|
||||
AIMessage(content="answer"),
|
||||
]
|
||||
"agent": {
|
||||
"messages": [
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {
|
||||
"name": "search_api",
|
||||
"arguments": '"another"',
|
||||
}
|
||||
},
|
||||
)
|
||||
]
|
||||
}
|
||||
},
|
||||
{
|
||||
"action": {
|
||||
"messages": [
|
||||
FunctionMessage(content="result for another", name="search_api")
|
||||
]
|
||||
}
|
||||
},
|
||||
{"agent": {"messages": [AIMessage(content="answer")]}},
|
||||
{
|
||||
"__end__": {
|
||||
"messages": [
|
||||
HumanMessage(content="what is weather in sf"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {
|
||||
"name": "search_api",
|
||||
"arguments": '"query"',
|
||||
}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for query", name="search_api"),
|
||||
AIMessage(
|
||||
content="",
|
||||
additional_kwargs={
|
||||
"function_call": {
|
||||
"name": "search_api",
|
||||
"arguments": '"another"',
|
||||
}
|
||||
},
|
||||
),
|
||||
FunctionMessage(content="result for another", name="search_api"),
|
||||
AIMessage(content="answer"),
|
||||
]
|
||||
}
|
||||
},
|
||||
]
|
||||
|
||||
Reference in New Issue
Block a user