OpenAI Agents SDK로 프로덕션급 LLM 에이전트 구축하기

from agents import Agent, function_tool, Runner

@function_tool
def get_weather(city: str) -> str:
    """returns weather info for the specified city."""
    return f"The weather in {city} is sunny"

agent = Agent(
    name="Haiku agent",
    instructions="Always respond in haiku form",
    model="gpt-4o-mini",
    tools=[get_weather]
)

result = await Runner.run(agent, "What's the weather in New York?")
print(result.final_output)

from agents.extensions.models.litellm_model import LiteLLMModel

model = LiteLLMModel(
    model="huggingface/novita/Qwen/Qwen2.5-72B-Instruct",
    api_keyos_environ=["HF_TOKEN"]
)

hf_agent = Agent(
    name="Kimi agent",
    model=model,
    tools=[get_weather]
)

from pydantic import BaseModel

class CalendarEvent(BaseModel):
    name: str
    date: str
    participants: list[str]

agent = Agent(
    name="Calendar Extractor",
    output_type=CalendarEvent,
    model=model
)

history_tutor_agent = Agent(name="History Tutor", handoff_description="Specialist for history")
math_tutor_agent = Agent(name="Math Tutor", handoff_description="Specialist for math")

triage_agent = Agent(
    name="Triage Agent",
    handoffs=[history_tutor_agent, math_tutor_agent]
)