How to integrate LangGraph (functional API) with AutoGen, CrewAI, and other frameworks . %pip install autogen langgraph 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") import autogen import os config_list =[{"model": "gpt-40", "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, ) from langchain_core.messages import convert_t0_openai_message, BaseMessage from langgrapg.func import entrypoint , task from langgraph.graph import add_messages from langgraph.checkpoint.memory import InMemorySaver @task def call_autogen_agent(messages: list[BaseMessage]): # Convert To An openai-style Messages messages = convert_to_openai_messages(messages) response = user_proxy.initiate_chat( autogen_agent, message = messages[-1], #

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