框架与平台
OpenAI Agents SDK
使用 TokenLab 模型与 OpenAI Agents SDK
概述
创建一个指向 TokenLab 的 OpenAI 兼容客户端,再交给 OpenAIChatCompletionsModel。
环境
export TOKENLAB_API_KEY="sk-your-tokenlab-key"
export TOKENLAB_BASE_URL="https://api.tokenlab.sh/v1"
export TOKENLAB_MODEL="gpt-5.6-luna"示例
import asyncio
import os
from openai import AsyncOpenAI
from agents import Agent, OpenAIChatCompletionsModel, Runner, set_tracing_disabled
client = AsyncOpenAI(
base_url=os.getenv("TOKENLAB_BASE_URL", "https://api.tokenlab.sh/v1"),
api_key=os.environ["TOKENLAB_API_KEY"],
)
set_tracing_disabled(disabled=True)
async def main():
agent = Agent(
name="Assistant",
instructions="You are concise and practical.",
model=OpenAIChatCompletionsModel(
model=os.getenv("TOKENLAB_MODEL", "gpt-5.6-luna"),
openai_client=client,
),
)
result = await Runner.run(agent, "Explain custom model providers in one paragraph.")
print(result.final_output)
asyncio.run(main())范围
这里使用 Chat Completions。应用需要 Responses 时,请确认所选模型的 accepted_request_formats 包含 openai_responses,并用真实请求验证所需 SDK 功能。