LangChain

pip install langchain langchain-openai

from langchain_openai import ChatOpenAI
from langchain_core.messages import SystemMessage, HumanMessage

llm = ChatOpenAI(
    model="gpt-4o-mini",
    base_url="https://api.cokeapi.com/v1",
    api_key="sk-coke-xxxxxxxx",
    temperature=0.7,
)

resp = llm.invoke([
    SystemMessage(content="你是简洁的助手"),
    HumanMessage(content="用一句话介绍 CokeAPI"),
])
print(resp.content)

for chunk in llm.stream([HumanMessage(content="讲个笑话")]):
    print(chunk.content, end="", flush=True)

from langchain_core.tools import tool

@tool
def get_weather(city: str) -> str:
    """查询某城市天气"""
    return f"{city} 晴天"

llm_with_tools = llm.bind_tools([get_weather])
resp = llm_with_tools.invoke("北京天气?")
print(resp.tool_calls)

npm install @langchain/openai @langchain/core

import { ChatOpenAI } from "@langchain/openai";

const llm = new ChatOpenAI({
  model: "gpt-4o-mini",
  configuration: {
    baseURL: "https://api.cokeapi.com/v1",
  },
  apiKey: "sk-coke-xxxxxxxx",
});

const resp = await llm.invoke([
  ["system", "你是简洁的助手"],
  ["user", "用一句话介绍 CokeAPI"],
]);
console.log(resp.content);