Python SSE Client Example

This example shows how to call the Bitseek Chat SSE service using the official openai Python library.

Installation

pip install openai

Code Example

from datetime import datetime
import httpx
from openai import OpenAI

http_client = httpx.Client(
    http2=False,
    timeout=httpx.Timeout(60.0, connect=20.0),
    trust_env=False,
)

client = OpenAI(
    base_url="https://chat-proxy.bitseek.ai/v1",
    api_key="<API-KEY>",
    http_client=http_client,
)

conversation_id = f"conv-{int(datetime.now().timestamp())}"

stream = client.chat.completions.create(
    model="bitseek-auto",
    messages=[
        {
            "role": "user",
            "content": "Hello, please introduce yourself, then call get_weather for Singapore.",
        }
    ],
    temperature=0.2,
    tools=[
        {
            "type": "function",
            "function": {
                "name": "get_weather",
                "description": "Get weather by city",
                "parameters": {
                    "type": "object",
                    "properties": {"city": {"type": "string"}},
                    "required": ["city"],
                },
            },
        }
    ],
    extra_headers={
        "Accept": "text/event-stream",
        "X-Conversation-Id": conversation_id,
    },
    stream=True,
)

print("AI: ", end="")
for chunk in stream:
    delta = chunk.choices[0].delta
    if delta and delta.content:
        print(delta.content, end="", flush=True)
print()

Key Parameters

• base_url: Set to https://chat-proxy.bitseek.ai/v1
• api_key: Your valid API key for authentication
• model: Use bitseek-auto
• temperature: Optional, normalized to 0 ~ 2
• tools: Optional, OpenAI tool definitions for tool-call loop
• stream=True: Enables SSE streaming response