from quart import Quart, request, Response, jsonify
import httpx
import json

app = Quart(__name__)

DEEPINFRA_API_URL = "https://api.deepinfra.com/v1/openai/chat/completions"
DEFAULT_SYSTEM_PROMPT = "Be a helpful assistant"
DEFAULT_MODEL = "deepseek-ai/DeepSeek-V3.1"


@app.post("/chat")
async def chat():
    try:
        data = await request.get_json()
        messages = data.get("messages", [])
        system_prompt = data.get("system_prompt", DEFAULT_SYSTEM_PROMPT)
        model = data.get("model", DEFAULT_MODEL)
        stream = data.get("stream", True)

        if not messages:
            return jsonify({"error": "Messages array is required"}), 400

        full_messages = [{"role": "system", "content": system_prompt}]
        full_messages.extend(messages)

        payload = {"model": model, "messages": full_messages, "stream": stream}

        if stream:
            payload["stream_options"] = {
                "include_usage": True,
                "continuous_usage_stats": True,
            }

        headers = {
            "Accept-Language": "en-US,en;q=0.5",
            "Cache-Control": "no-cache",
            "Connection": "keep-alive",
            "Content-Type": "application/json",
            "Origin": "https://deepinfra.com",
            "Pragma": "no-cache",
            "Referer": "https://deepinfra.com/",
            "Sec-Fetch-Dest": "empty",
            "Sec-Fetch-Mode": "cors",
            "Sec-Fetch-Site": "same-site",
            "Sec-GPC": "1",
            "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36",
            "X-Deepinfra-Source": "web-page",
            "sec-ch-ua": '"Chromium";v="142", "Brave";v="142", "Not_A Brand";v="99"',
            "sec-ch-ua-mobile": "?0",
            "sec-ch-ua-platform": '"Linux"',
        }

        if stream:
            headers["accept"] = "text/event-stream"

            async def generate():
                async with httpx.AsyncClient(timeout=60.0) as client:
                    async with client.stream(
                        "POST",
                        DEEPINFRA_API_URL,
                        json=payload,
                        headers=headers,
                    ) as response:
                        if response.status_code != 200:
                            yield f"data: {json.dumps({'error': 'API request failed'})}\n\n"
                            return

                        async for line in response.aiter_lines():
                            if line:
                                yield line + "\n"

            return Response(
                generate(),
                mimetype="text/event-stream",
                headers={"Cache-Control": "no-cache", "X-Accel-Buffering": "no"},
            )
        else:
            async with httpx.AsyncClient(timeout=60.0) as client:
                response = await client.post(
                    DEEPINFRA_API_URL, json=payload, headers=headers
                )

                if response.status_code != 200:
                    return jsonify({"error": "API request failed"}), 500

                return jsonify(response.json())

    except httpx.RequestError as e:
        return jsonify({"error": f"Request failed: {str(e)}"}), 500
    except Exception as e:
        return jsonify({"error": str(e)}), 500

if __name__ == "__main__":
    app.run()

This is our first API for the channel a DeepSeek-V3.1 AI model API u can simply copy it to make your own API or ask any AI to convert it into a function to directly use it with your bot on 100 members i will bring video generation or phone number details API

Thankyou <3

On 100 members releasing yt mp3 api