AutoGen本地模型集成指南：api_type参数移除后的配置更新

from autogen import AssistantAgent, UserProxyAgent

config_list = [
    {
        "api_type": "open_ai",  # 导致错误的参数
        "api_base": "http://localhost:1234/v1",
        "api_key": "NULL"
    }
]

llm_config = {'config_list': config_list}

assistant = AssistantAgent(
    name="assistant",
    llm_config = llm_config
)

user_proxy = UserProxyAgent(
    name="user_proxy",
    human_input_mode="NEVER",
    max_consecutive_auto_reply=100,
)

task = """write a python method to output numbers 1 to 100"""

user_proxy.initiate_chat(
    assistant,
    message=task
)

Traceback (most recent call last):
  ...
  File "C:\Users\Rohun\Development\AutoGen\env\lib\site-packages\autogen\oai\client.py", line 327, in _completions_create    
    response = completions.create(**params)
  File "C:\Users\Rohun\Development\AutoGen\env\lib\site-packages\openai\_utils\_utils.py", line 299, in wrapper
    return func(*args, **kwargs)
TypeError: create() got an unexpected keyword argument 'api_type'

from autogen import AssistantAgent, UserProxyAgent

config_list = [
    {
        # "api_type": "open_ai",  # 移除此行
        "api_base": "http://localhost:1234/v1",
        "api_key": "NULL"
    }
]

llm_config = {'config_list': config_list}

assistant = AssistantAgent(
    name="assistant",
    llm_config = llm_config
)

user_proxy = UserProxyAgent(
    name="user_proxy",
    human_input_mode="NEVER",
    max_consecutive_auto_reply=100,
)

task = """write a python method to output numbers 1 to 100"""

user_proxy.initiate_chat(
    assistant,
    message=task
)

from autogen import AssistantAgent, UserProxyAgent

# 配置列表，用于指定LLM服务
# 注意：在最新版本的AutoGen中，"api_type" 参数已被移除，以保持与OpenAI API的兼容性。
config_list = [
    {
        "api_base": "http://localhost:1234/v1",  # 本地LLM服务（如LM Studio）的API地址
        "api_key": "NULL"  # 对于本地模型，api_key可以设置为"NULL"或任意非空字符串
    }
]

# LLM配置字典，包含配置列表
llm_config = {'config_list': config_list}

# 初始化 AssistantAgent，作为任务执行者
assistant = AssistantAgent(
    name="assistant",
    llm_config=llm_config  # 传入LLM配置
)

# 初始化 UserProxyAgent，作为用户代理，负责与AssistantAgent交互
user_proxy = UserProxyAgent(
    name="user_proxy",
    human_input_mode="NENEVER",  # 设置为不接受人工输入，以便自动化运行
    max_consecutive_auto_reply=100,  # 最大连续自动回复次数
)

# 定义要执行的任务
task = """write a python method to output numbers 1 to 100"""

# 启动聊天会话
print(f"User Proxy (to assistant): {task}\n")
user_proxy.initiate_chat(
    assistant,
    message=task
)