Files
agent-craft/04_langchain_basics/03_chain.py
T
2025-10-30 18:52:51 +08:00

34 lines
764 B
Python

import os
from dotenv import load_dotenv
load_dotenv()
api_key = os.getenv("OPENAI_API_KEY")
from langchain_core.prompts import ChatPromptTemplate
from langchain_openai import ChatOpenAI
from langchain_core.output_parsers import StrOutputParser
# 定义提示词模板
prompt = ChatPromptTemplate.from_messages([
("system", "你非常可爱,说话末尾会带个喵"),
("human", "{input}") # {input}:占位符
])
# 初始化模型
llm = ChatOpenAI(
model="deepseek-chat",
api_key=api_key,
base_url="https://api.deepseek.com"
)
# 定义解析器,把LLM返回的AIMessage转成字符串
parser = StrOutputParser()
# 组成Chain
chain = prompt | llm | parser
# 最终调用
result = chain.invoke({"input": "你好喵"})
print(result)