main.py

import os
from dotenv import load_dotenv
from agents import Agent, Runner, AsyncOpenAI, OpenAIChatCompletionsModel, function_tool
from agents.run import RunConfig
import asyncio
import http.client
import json

load_dotenv()

gemini_api_key = os.getenv('GEMINI_API_KEY')

# Check if the API key is present; if not, raise an error
if not gemini_api_key:
    raise ValueError("GEMINI_API_KEY is not set. Please ensure it is defined in your .env file.")

external_client = AsyncOpenAI(
    api_key=gemini_api_key,
    base_url ="https://generativelanguage.googleapis.com/v1beta/openai/",
)

model = OpenAIChatCompletionsModel(
    openai_client=external_client,
    model="gemini-2.0-flash",
)

config = RunConfig(
    model =model,
    model_provider=external_client,
    tracing_disabled=True,
)
@function_tool
async def fetch_coin_price(symbol: str) -> str:
    conn = http.client.HTTPSConnection("api.binance.com")
    endpoint = f"/api/v3/ticker/price?symbol={symbol.upper()}"
    conn.request("GET", endpoint)
    response = conn.getresponse()

    if response.status != 200:
        return f"Failed to fetch price for: {symbol.upper()}"

    data = json.loads(response.read())
    return f"The current price of {data['symbol']} is {data['price']} USD."


agent = Agent(
    name="crypto-agent",
    instructions="An agent that provides information about cryptocurrencies.",
    tools=[fetch_coin_price],    
)
async def main():
    result = await Runner.run(
        agent,
        "What is the current price of BTCUSDT?",  
        run_config=config
    )
    print(f"Result: {result.final_output}")


if __name__ == "__main__":
    asyncio.run(main())