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agentframework_basic.py
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50 lines (41 loc) · 1.66 KB
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import asyncio
import os
from agent_framework import Agent
from agent_framework.openai import OpenAIChatClient
from azure.identity.aio import DefaultAzureCredential, get_bearer_token_provider
from dotenv import load_dotenv
from rich import print
# Configure OpenAI client based on environment
load_dotenv(override=True)
API_HOST = os.getenv("API_HOST", "github")
async_credential = None
if API_HOST == "azure":
async_credential = DefaultAzureCredential()
token_provider = get_bearer_token_provider(async_credential, "https://cognitiveservices.azure.com/.default")
client = OpenAIChatClient(
base_url=f"{os.environ['AZURE_OPENAI_ENDPOINT']}/openai/v1/",
api_key=token_provider,
model_id=os.environ["AZURE_OPENAI_CHAT_DEPLOYMENT"],
)
elif API_HOST == "github":
client = OpenAIChatClient(
base_url="https://models.github.ai/inference",
api_key=os.environ["GITHUB_TOKEN"],
model_id=os.getenv("GITHUB_MODEL", "openai/gpt-4o"),
)
elif API_HOST == "ollama":
client = OpenAIChatClient(
base_url=os.environ.get("OLLAMA_ENDPOINT", "http://localhost:11434/v1"),
api_key="none",
model_id=os.environ.get("OLLAMA_MODEL", "llama3.1:latest"),
)
else:
client = OpenAIChatClient(api_key=os.environ["OPENAI_API_KEY"], model_id=os.environ.get("OPENAI_MODEL", "gpt-4o"))
agent = Agent(client=client, instructions="You're an informational agent. Answer questions cheerfully.")
async def main():
response = await agent.run("Whats weather today in San Francisco?")
print(response.text)
if async_credential:
await async_credential.close()
if __name__ == "__main__":
asyncio.run(main())