如何将 LangGraph 与 AutoGen、CrewAI 及其他框架集成¶
LangGraph 是一个用于构建智能体和多智能体应用程序的框架。LangGraph 可以轻松地与其他智能体框架集成。
你可能希望将 LangGraph 与其他智能体框架集成的主要原因如下：
将其他框架的智能体集成进来的最简单方法是在 LangGraph 节点内部调用这些智能体：
from langgraph.graph import StateGraph, MessagesState, START
autogen_agent = autogen.AssistantAgent(name="assistant", ...)
user_proxy = autogen.UserProxyAgent(name="user_proxy", ...)
def call_autogen_agent(state: MessagesState):
response = user_proxy.initiate_chat(
autogen_agent,
message=state["messages"][-1],
...
)
...
graph = (
StateGraph(MessagesState)
.add_node(call_autogen_agent)
.add_edge(START, "call_autogen_agent")
.compile()
)
graph.invoke({
"messages": [
{
"role": "user",
"content": "Find numbers between 10 and 30 in fibonacci sequence",
}
]
})
在本指南中，我们将展示如何构建一个与 AutoGen 集成的 LangGraph 聊天机器人，但你可以采用相同的方法与其他框架进行集成。
安装设置¶
import getpass
import os
def _set_env(var: str):
if not os.environ.get(var):
os.environ[var] = getpass.getpass(f"{var}: ")
_set_env("OPENAI_API_KEY")
定义 AutoGen 代理¶
在这里，我们定义我们的 AutoGen 代理。改编自官方教程此处。
import autogen
import os
config_list = [{"model": "gpt-4o", "api_key": os.environ["OPENAI_API_KEY"]}]
llm_config = {
"timeout": 600,
"cache_seed": 42,
"config_list": config_list,
"temperature": 0,
}
autogen_agent = autogen.AssistantAgent(
name="assistant",
llm_config=llm_config,
)
user_proxy = autogen.UserProxyAgent(
name="user_proxy",
human_input_mode="NEVER",
max_consecutive_auto_reply=10,
is_termination_msg=lambda x: x.get("content", "").rstrip().endswith("TERMINATE"),
code_execution_config={
"work_dir": "web",
"use_docker": False,
}, # Please set use_docker=True if docker is available to run the generated code. Using docker is safer than running the generated code directly.
llm_config=llm_config,
system_message="Reply TERMINATE if the task has been solved at full satisfaction. Otherwise, reply CONTINUE, or the reason why the task is not solved yet.",
)
创建图¶
我们现在将创建一个调用 AutoGen 代理的 LangGraph 聊天机器人图。
from langchain_core.messages import convert_to_openai_messages
from langgraph.graph import StateGraph, MessagesState, START
from langgraph.checkpoint.memory import MemorySaver
def call_autogen_agent(state: MessagesState):
# convert to openai-style messages
messages = convert_to_openai_messages(state["messages"])
response = user_proxy.initiate_chat(
autogen_agent,
message=messages[-1],
# pass previous message history as context
carryover=messages[:-1],
)
# get the final response from the agent
content = response.chat_history[-1]["content"]
return {"messages": {"role": "assistant", "content": content}}
# add short-term memory for storing conversation history
checkpointer = MemorySaver()
builder = StateGraph(MessagesState)
builder.add_node(call_autogen_agent)
builder.add_edge(START, "call_autogen_agent")
graph = builder.compile(checkpointer=checkpointer)
API Reference: convert_to_openai_messages
运行图¶
现在我们可以运行图了。
# pass the thread ID to persist agent outputs for future interactions
config = {"configurable": {"thread_id": "1"}}
for chunk in graph.stream(
{
"messages": [
{
"role": "user",
"content": "Find numbers between 10 and 30 in fibonacci sequence",
}
]
},
config,
):
print(chunk)
[33muser_proxy[0m (to assistant):
Find numbers between 10 and 30 in fibonacci sequence
--------------------------------------------------------------------------------
[33massistant[0m (to user_proxy):
To find numbers between 10 and 30 in the Fibonacci sequence, we can generate the Fibonacci sequence and check which numbers fall within this range. Here's a plan:
1. Generate Fibonacci numbers starting from 0.
2. Continue generating until the numbers exceed 30.
3. Collect and print the numbers that are between 10 and 30.
Let's implement this in Python:
\`\`\`python
# filename: fibonacci_range.py
def fibonacci_sequence():
a, b = 0, 1
while a <= 30:
if 10 <= a <= 30:
print(a)
a, b = b, a + b
fibonacci_sequence()
\`\`\`
This script will print the Fibonacci numbers between 10 and 30. Please execute the code to see the result.
--------------------------------------------------------------------------------
[31m
>>>>>>>> EXECUTING CODE BLOCK 0 (inferred language is python)...[0m
[33muser_proxy[0m (to assistant):
exitcode: 0 (execution succeeded)
Code output:
13
21
--------------------------------------------------------------------------------
[33massistant[0m (to user_proxy):
The Fibonacci numbers between 10 and 30 are 13 and 21.
These numbers are part of the Fibonacci sequence, which is generated by adding the two preceding numbers to get the next number, starting from 0 and 1.
The sequence goes: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, ...
As you can see, 13 and 21 are the only numbers in this sequence that fall between 10 and 30.
TERMINATE
--------------------------------------------------------------------------------
{'call_autogen_agent': {'messages': {'role': 'assistant', 'content': 'The Fibonacci numbers between 10 and 30 are 13 and 21. \n\nThese numbers are part of the Fibonacci sequence, which is generated by adding the two preceding numbers to get the next number, starting from 0 and 1. \n\nThe sequence goes: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, ...\n\nAs you can see, 13 and 21 are the only numbers in this sequence that fall between 10 and 30.\n\nTERMINATE'}}}
for chunk in graph.stream(
{
"messages": [
{
"role": "user",
"content": "Multiply the last number by 3",
}
]
},
config,
):
print(chunk)
[33muser_proxy[0m (to assistant):
Multiply the last number by 3
Context:
Find numbers between 10 and 30 in fibonacci sequence
The Fibonacci numbers between 10 and 30 are 13 and 21.
These numbers are part of the Fibonacci sequence, which is generated by adding the two preceding numbers to get the next number, starting from 0 and 1.
The sequence goes: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, ...
As you can see, 13 and 21 are the only numbers in this sequence that fall between 10 and 30.
TERMINATE
--------------------------------------------------------------------------------
[33massistant[0m (to user_proxy):
The last number in the Fibonacci sequence between 10 and 30 is 21. Multiplying 21 by 3 gives:
21 * 3 = 63
TERMINATE
--------------------------------------------------------------------------------
{'call_autogen_agent': {'messages': {'role': 'assistant', 'content': 'The last number in the Fibonacci sequence between 10 and 30 is 21. Multiplying 21 by 3 gives:\n\n21 * 3 = 63\n\nTERMINATE'}}}