#!/usr/bin/env python3
"""
Generated test file for Basic LLM Test
Framework: litellm
Execution mode: async
Streaming: yes"""

import os
import sentry_sdk
import asyncio


import litellm
from sentry_sdk.integrations.litellm import LiteLLMIntegration
from sentry_sdk.integrations.openai import OpenAIIntegration


sentry_sdk.init(
    dsn=os.environ.get("SENTRY_DSN"),
    traces_sample_rate=1.0,
    send_default_pii=True,
    stream_gen_ai_spans=True,
    integrations=[LiteLLMIntegration(include_prompts=True)],
    disabled_integrations=[OpenAIIntegration()],
)


async def main():
    # Turn 1
    stream = await litellm.aresponses(
        model="openai/gpt-5-nano",
        instructions="You are a helpful assistant.",
        input=[
        {
            "role": "user",
            "content": "What is the capital of France?"
        },
    ]
,
        stream=True,
    )

    collected_content = []
    async for event in stream:
        if hasattr(event, "type") and event.type == "response.output_text.delta":
            collected_content.append(event.delta)

    full_response = "".join(collected_content)
    print(f"Turn 1 Response: {full_response}")
    await asyncio.sleep(0.1)  # sleep is necessary for LiteLLM because it needs threaded callbacks to finish

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