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caaa446 ec5cdfd caaa446 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 | #!/usr/bin/env python3
"""
STARBOY PRIME Local OpenAI-Compatible Proxy Sidecar.
Exposes standard OpenAI endpoint on localhost and routes to ZeroGPU Space.
"""
import os
import sys
import json
import time
import argparse
import uvicorn
from fastapi import FastAPI, Request, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse, StreamingResponse
from pydantic import BaseModel
from typing import List, Optional
from safe_client import SafeZeroGPUClient, ZeroGPUQuotaError, ZeroGPURateLimitError
UPSTREAM_URL = os.environ.get("STARBOY_UPSTREAM_URL", "https://starboy001-antigravity-cloud.hf.space")
UPSTREAM_KEY = os.environ.get("STARBOY_API_KEY", "starboy2026")
DEFAULT_MODEL = os.environ.get("MODEL_ID", "BlossomsAI/Qwen2.5-Coder-7B-Instruct-Uncensored")
client = SafeZeroGPUClient(base_url=UPSTREAM_URL, api_key=UPSTREAM_KEY, model=DEFAULT_MODEL)
proxy_app = FastAPI(
title="STARBOY PRIME OpenAI Proxy",
description="Local OpenAI-compatible sidecar for ZeroGPU Flash LLM",
version="1.0.0"
)
proxy_app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
class ChatMessage(BaseModel):
role: str
content: str
class ChatCompletionRequest(BaseModel):
model: Optional[str] = None
messages: List[ChatMessage]
max_tokens: Optional[int] = 512
max_new_tokens: Optional[int] = None
temperature: Optional[float] = 0.7
top_p: Optional[float] = 0.9
stream: Optional[bool] = False
@proxy_app.get("/health")
async def health():
upstream_health = client.health_check()
return {
"status": "healthy",
"proxy": "starboy-openai-proxy",
"upstream_url": UPSTREAM_URL,
"upstream_status": upstream_health.get("status", "unknown"),
"timestamp": time.time()
}
@proxy_app.get("/v1/models")
async def list_models():
return {
"object": "list",
"data": [
{
"id": DEFAULT_MODEL,
"object": "model",
"created": 1700000000,
"owned_by": "starboy-prime"
}
]
}
@proxy_app.post("/v1/chat/completions")
async def chat_completions(req: ChatCompletionRequest):
max_tokens = req.max_new_tokens if req.max_new_tokens is not None else (req.max_tokens or 512)
temp = req.temperature if req.temperature is not None else 0.7
top_p = req.top_p if req.top_p is not None else 0.9
messages_payload = [{"role": m.role, "content": m.content} for m in req.messages]
model_name = req.model or DEFAULT_MODEL
if req.stream:
def stream_generator():
created = int(time.time())
req_id = f"chatcmpl-{os.urandom(6).hex()}"
try:
for token in client.stream_chat(messages_payload, max_tokens=max_tokens, temperature=temp, top_p=top_p):
chunk_obj = {
"id": req_id,
"object": "chat.completion.chunk",
"created": created,
"model": model_name,
"choices": [{"index": 0, "delta": {"content": token}, "finish_reason": None}]
}
yield f"data: {json.dumps(chunk_obj)}\n\n"
final_chunk = {
"id": req_id,
"object": "chat.completion.chunk",
"created": created,
"model": model_name,
"choices": [{"index": 0, "delta": {}, "finish_reason": "stop"}]
}
yield f"data: {json.dumps(final_chunk)}\n\n"
yield "data: [DONE]\n\n"
except ZeroGPUQuotaError as q_err:
err_chunk = {"error": {"message": str(q_err), "type": "quota_exceeded", "code": 402}}
yield f"data: {json.dumps(err_chunk)}\n\n"
except Exception as e:
err_chunk = {"error": {"message": str(e), "type": "upstream_error", "code": 500}}
yield f"data: {json.dumps(err_chunk)}\n\n"
return StreamingResponse(
stream_generator(),
media_type="text/event-stream",
headers={"Cache-Control": "no-cache", "X-Accel-Buffering": "no"}
)
try:
content = client.chat_completion(messages_payload, max_tokens=max_tokens, temperature=temp, top_p=top_p)
created = int(time.time())
req_id = f"chatcmpl-{os.urandom(6).hex()}"
return JSONResponse({
"id": req_id,
"object": "chat.completion",
"created": created,
"model": model_name,
"choices": [
{
"index": 0,
"message": {"role": "assistant", "content": content},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": len(str(messages_payload)) // 4,
"completion_tokens": len(content) // 4,
"total_tokens": (len(str(messages_payload)) + len(content)) // 4
}
})
except ZeroGPUQuotaError as q_err:
raise HTTPException(status_code=402, detail=str(q_err))
except ZeroGPURateLimitError as r_err:
raise HTTPException(status_code=429, detail=str(r_err))
except Exception as exc:
raise HTTPException(status_code=500, detail=str(exc))
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="STARBOY PRIME OpenAI Proxy Sidecar")
parser.add_argument("--host", default="127.0.0.1", help="Host to bind to")
parser.add_argument("--port", type=int, default=8080, help="Port to bind to")
args = parser.parse_args()
uvicorn.run(proxy_app, host=args.host, port=args.port)
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