AI全栈大模型工程师(十六)智能体架构：Agent

文章目录

• • 五、智能体架构：Agent
  • • 5.1 什么是智能体（Agent）
    • 5.2 先定义一些工具：Tools
    • 5.3 智能体类型：ReAct
    • 5.4 通过 OpenAI Function Calling 实现智能体
    • 5.5 智能体类型：SelfAskWithSearch
    • 5.6 智能体类型：Plan-and-Execute
  • 后记

五、智能体架构：Agent

5.1 什么是智能体（Agent）

将大语言模型作为一个推理引擎。给定一个任务，智能体自动生成完成任务所需的步骤，执行相应动作（例如选择并调用工具），直到任务完成。

5.2 先定义一些工具：Tools

• 可以是一个函数或三方 API
• 也可以把一个 Chain 或者 Agent 的 run()作为一个 Tool

from langchain import SerpAPIWrapper

search = SerpAPIWrapper()
tools = [
    Tool.from_function(
        func=search.run,
        name="Search",
        description="useful for when you need to answer questions about current events"
    ),
]


from langchain.tools import Tool, tool
import calendar
import dateutil.parser as parser
from datetime import date

@tool("weekday")
def weekday(date_str: str) -> str:
    """Convert date to weekday name"""
    d = parser.parse(date_str)
    return calendar.day_name[d.weekday()]


from langchain.agents import load_tools

tools = load_tools(["serpapi"])
tools += [weekday]

5.3 智能体类型：ReAct

!pip install google-search-results

from langchain.chat_models import ChatOpenAI

from langchain.llms import OpenAI

from langchain.agents import AgentType

from langchain.agents import initialize_agent

llm = ChatOpenAI(model_name=‘gpt-4’, temperature=0)

agent = initialize_agent(

tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)

agent.run(“周杰伦生日那天是星期几”)

5.4 通过 OpenAI Function Calling 实现智能体

from langchain.chat_models import ChatOpenAI

from langchain.llms import OpenAI

from langchain.agents import AgentType

from langchain.agents import initialize_agent

llm = ChatOpenAI(model_name=‘gpt-4-0613’, temperature=0)

agent = initialize_agent(

tools,

llm,

agent=AgentType.OPENAI_FUNCTIONS,

verbose=True,

max_iterations=2,

early_stopping_method=“generate”,

)

agent.run(“周杰伦生日那天是星期几”)

5.5 智能体类型：SelfAskWithSearch

from langchain import OpenAI, SerpAPIWrapper

from langchain.agents import initialize_agent, Tool

from langchain.agents import AgentType

llm = OpenAI(temperature=0)

search = SerpAPIWrapper()

tools = [

Tool(

name=“Intermediate Answer”,

func=search.run,

description=“useful for when you need to ask with search”,

)

]

self_ask_with_search = initialize_agent(

tools, llm, agent=AgentType.SELF_ASK_WITH_SEARCH, verbose=True

)

self_ask_with_search.run(

“冯小刚的老婆演过什么电影”

)

5.6 智能体类型：Plan-and-Execute

!pip install langchain-experimental

from langchain.utilities.wolfram_alpha import WolframAlphaAPIWrapper

from langchain.agents import load_tools

from langchain import SerpAPIWrapper

from langchain.agents.tools import Tool

from langchain.llms import OpenAI

from langchain_experimental.plan_and_execute import PlanAndExecute, load_agent_executor, load_chat_planner

from langchain.chat_models import ChatOpenAI

from langchain.memory import ConversationSummaryMemory

llm = ChatOpenAI(model_name=‘gpt-4’, temperature=0)

search = SerpAPIWrapper(params={

‘engine’: ‘google’,

‘gl’: ‘cn’,

‘google_domain’: ‘google.com.hk’,

‘hl’: ‘zh-cn’

})

tools = [

Tool(

name=“Search”,

func=search.run,

description=“useful for when you need to answer questions about current events”

)

]

planner = load_chat_planner(llm)

executor = load_agent_executor(llm, tools, verbose=True)

agent = PlanAndExecute(planner=planner, executor=executor, verbose=True)

agent.run(“分析北京明天天气，与上海明天天气对比，用中文写一遍报告”)

后记

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