追踪 AG2🤖

AG2 是一个用于构建和编排 AI 代理交互的开源框架。

MLflow 追踪为开源多代理框架 AG2 提供自动追踪能力。通过调用 mlflow.ag2.autolog() 函数为 AG2 启用自动追踪，MLflow 将捕获嵌套追踪并在代理执行时将其记录到活跃的 MLflow 实验中。请注意，由于 AG2 基于 AutoGen 0.2 构建，因此此集成可在您使用 AutoGen 0.2 时使用。

import mlflow

mlflow.ag2.autolog()

MLflow 捕获有关多代理执行的以下信息

• 在不同回合中调用了哪个代理
• 代理之间传递的消息
• 每个代理进行的 LLM 和工具调用，按代理和回合组织
• 延迟
• 如果抛出任何异常

基本示例

import os
from typing import Annotated, Literal

from autogen import ConversableAgent

import mlflow

# Turn on auto tracing for AG2
mlflow.ag2.autolog()

# Optional: Set a tracking URI and an experiment
mlflow.set_tracking_uri("https://:5000")
mlflow.set_experiment("AG2")


# Define a simple multi-agent workflow using AG2
config_list = [
    {
        "model": "gpt-4o-mini",
        # Please set your OpenAI API Key to the OPENAI_API_KEY env var before running this example
        "api_key": os.environ.get("OPENAI_API_KEY"),
    }
]

Operator = Literal["+", "-", "*", "/"]


def calculator(a: int, b: int, operator: Annotated[Operator, "operator"]) -> int:
    if operator == "+":
        return a + b
    elif operator == "-":
        return a - b
    elif operator == "*":
        return a * b
    elif operator == "/":
        return int(a / b)
    else:
        raise ValueError("Invalid operator")


# First define the assistant agent that suggests tool calls.
assistant = ConversableAgent(
    name="Assistant",
    system_message="You are a helpful AI assistant. "
    "You can help with simple calculations. "
    "Return 'TERMINATE' when the task is done.",
    llm_config={"config_list": config_list},
)

# The user proxy agent is used for interacting with the assistant agent
# and executes tool calls.
user_proxy = ConversableAgent(
    name="Tool Agent",
    llm_config=False,
    is_termination_msg=lambda msg: msg.get("content") is not None
    and "TERMINATE" in msg["content"],
    human_input_mode="NEVER",
)

# Register the tool signature with the assistant agent.
assistant.register_for_llm(name="calculator", description="A simple calculator")(
    calculator
)
user_proxy.register_for_execution(name="calculator")(calculator)
response = user_proxy.initiate_chat(
    assistant, message="What is (44231 + 13312 / (230 - 20)) * 4?"
)

禁用自动跟踪

可以通过调用 mlflow.ag2.autolog(disable=True) 或 mlflow.autolog(disable=True) 来全局禁用 AG2 的自动追踪。