OpenAI Agents SDK

pip install openai-agents
export NOKEEP_API_KEY="sk-nokeep-test"  # your own key once it connects

import os
from openai import AsyncOpenAI
from agents import Agent, OpenAIChatCompletionsModel, set_tracing_disabled

client = AsyncOpenAI(
    base_url="https://nokeep.ai/v1",
    api_key=os.environ["NOKEEP_API_KEY"],
)
set_tracing_disabled(True)  # traces go to OpenAI's dashboard, which a nokeep key can't reach

model = OpenAIChatCompletionsModel(model="deepseek-v4.1-flash-uncensored", openai_client=client)

from agents import Runner

agent = Agent(name="Editor", instructions="You are a blunt editor.", model=model)
result = Runner.run_sync(agent, "Cut this opening line to ten words: ...")
print(result.final_output)

import os
from openai import AsyncOpenAI
from agents import Agent, set_default_openai_api, set_default_openai_client, set_tracing_disabled

set_default_openai_client(AsyncOpenAI(base_url="https://nokeep.ai/v1", api_key=os.environ["NOKEEP_API_KEY"]), use_for_tracing=False)
set_default_openai_api("chat_completions")
set_tracing_disabled(True)

agent = Agent(name="Editor", instructions="You are a blunt editor.", model="deepseek-v4.1-flash-uncensored")

from agents import Agent, Runner, function_tool

@function_tool
def get_weather(city: str) -> str:
    """Get the weather in a city."""
    return f"18°C and clear in {city}"

agent = Agent(
    name="Weather",
    instructions="Answer questions about the weather.",
    model=model,
    tools=[get_weather],
)
print(Runner.run_sync(agent, "What's the weather in Lisbon?").final_output)

import asyncio
from agents import Runner
from openai.types.responses import ResponseTextDeltaEvent

async def main():
    result = Runner.run_streamed(agent, "Tell me a story in three lines.")
    async for event in result.stream_events():
        if event.type == "raw_response_event" and isinstance(event.data, ResponseTextDeltaEvent):
            print(event.data.delta, end="", flush=True)
    print("\n", result.context_wrapper.usage)

asyncio.run(main())

from agents import Agent, ModelSettings
from openai.types.shared import Reasoning

planner = Agent(
    name="Planner",
    instructions="Plan before you answer.",
    model=model,
    model_settings=ModelSettings(
        reasoning=Reasoning(effort="high"),  # sent as reasoning_effort
        max_tokens=4000,
        extra_body={"min_p": 0.05},  # fields ModelSettings has no argument for
    ),
)