#!/usr/bin/env python3
"""
Generated test file for Vision LLM Test
Framework: openai
Execution mode: async
Streaming: no"""

import os
import sentry_sdk
import asyncio

from openai import AsyncOpenAI


sentry_sdk.init(
    dsn=os.environ.get("SENTRY_DSN"),
    traces_sample_rate=1.0,
    send_default_pii=True,
    stream_gen_ai_spans=True,
)

client = AsyncOpenAI()

async def main():
    # Turn 1
    response = await client.chat.completions.create(
        model="gpt-4o-mini",
        messages=[
        {
            "role": "system",
            "content": "You are a helpful assistant that can analyze images. Be concise."
        },
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "What color is this image? Reply with just the color name."},
                {"type": "image_url", "image_url": {"url": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAoAAAAKCAYAAACNMs+9AAAAFUlEQVR42mP8z8BQz0AEYBxVSF+FABJADveWkH6oAAAAAElFTkSuQmCC"}},
            ]
        },
    ]
,
    )
    if response.choices:
        print(f"Turn 1 Response: {response.choices[0].message.content}")

if __name__ == "__main__":
    with sentry_sdk.start_transaction(op="test", name="Vision LLM Test"):
        asyncio.run(main())
    sentry_sdk.flush(timeout=5)