File size: 5,845 Bytes
f2f6faa | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 | import os
from fastapi import FastAPI, Request, HTTPException, Depends
from fastapi.responses import StreamingResponse
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
import httpx
import json
import time
import uuid
app = FastAPI()
security = HTTPBearer()
API_KEY = os.environ.get("API_KEY", "!TU MUSISZ EDYTOWAC!")
MODEL = os.environ.get("MODEL", "!TU MUSISZ EDYTOWAC!")
OLLAMA_BASE = "http://127.0.0.1:11434"
if "!TU MUSISZ EDYTOWAC!" in (API_KEY, MODEL):
raise RuntimeError("Ustaw zmienne API_KEY i MODEL w HF Space Settings -> Variables")
def verify_key(credentials: HTTPAuthorizationCredentials = Depends(security)):
if credentials.credentials != API_KEY:
raise HTTPException(status_code=401, detail="Invalid API key")
return credentials.credentials
# --- Ollama Compatible Endpoints (Directly at /api/...) ---
@app.post("/api/chat")
async def ollama_chat(request: Request, key: str = Depends(verify_key)):
body = await request.json()
# Force streaming and ensure the correct model is used
body["stream"] = True
body["model"] = MODEL
async def generate():
async with httpx.AsyncClient(timeout=600.0) as client:
async with client.stream("POST", f"{OLLAMA_BASE}/api/chat", json=body) as resp:
async for line in resp.aiter_lines():
if not line: continue
# Ollama's native chat API already includes 'thinking' if supported
yield line + "\n"
return StreamingResponse(generate(), media_type="application/x-ndjson")
@app.post("/api/generate")
async def ollama_generate(request: Request, key: str = Depends(verify_key)):
body = await request.json()
body["stream"] = True
body["model"] = MODEL
async def generate():
async with httpx.AsyncClient(timeout=600.0) as client:
async with client.stream("POST", f"{OLLAMA_BASE}/api/generate", json=body) as resp:
async for line in resp.aiter_lines():
if not line: continue
yield line + "\n"
return StreamingResponse(generate(), media_type="application/x-ndjson")
@app.get("/api/tags")
async def ollama_tags(key: str = Depends(verify_key)):
return {
"models": [{
"name": MODEL,
"model": MODEL,
"modified_at": "2024-01-01T00:00:00Z",
"size": 0,
"digest": "sha256:0000000000000000000000000000000000000000000000000000000000000000",
"details": {
"parent_model": "",
"format": "gguf",
"family": "llama",
"families": ["llama"],
"parameter_size": "unknown",
"quantization_level": "unknown"
}
}]
}
@app.get("/api/version")
async def ollama_version():
return {"version": "0.1.0-proxy"}
# --- OpenAI Compatible Endpoints (Maintained for flexibility) ---
@app.post("/v1/chat/completions")
async def chat_completions(request: Request, key: str = Depends(verify_key)):
body = await request.json()
body["stream"] = True
ollama_payload = {
"model": MODEL,
"messages": body.get("messages", []),
"stream": True,
"options": {
"temperature": body.get("temperature", 0.6),
"top_p": body.get("top_p", 0.95),
}
}
if "max_tokens" in body:
ollama_payload["options"]["num_predict"] = body["max_tokens"]
completion_id = f"chatcmpl-{uuid.uuid4().hex}"
created = int(time.time())
async def generate():
async with httpx.AsyncClient(timeout=600.0) as client:
async with client.stream("POST", f"{OLLAMA_BASE}/api/chat", json=ollama_payload) as resp:
async for line in resp.aiter_lines():
if not line: continue
try:
chunk = json.loads(line)
except: continue
msg = chunk.get("message", {})
done = chunk.get("done", False)
delta = {}
# Explicitly handle thinking tags for OpenAI format
thinking = msg.get("thinking")
content = msg.get("content")
if thinking:
delta["reasoning_content"] = thinking
if content:
delta["content"] = content
data = {
"id": completion_id,
"object": "chat.completion.chunk",
"created": created,
"model": MODEL,
"choices": [{
"index": 0,
"delta": delta,
"finish_reason": "stop" if done else None,
}]
}
yield f"data: {json.dumps(data)}\n\n"
if done: break
yield "data: [DONE]\n\n"
return StreamingResponse(generate(), media_type="text/event-stream")
@app.get("/v1/models")
async def list_models(key: str = Depends(verify_key)):
return {
"object": "list",
"data": [{
"id": MODEL,
"object": "model",
"created": int(time.time()),
"owned_by": "ollama",
}]
}
# --- Health Check ---
@app.get("/")
@app.get("/health")
async def health():
async with httpx.AsyncClient(timeout=5.0) as client:
try:
r = await client.get(f"{OLLAMA_BASE}/api/version")
ollama_ok = r.status_code == 200
except Exception:
ollama_ok = False
return {"status": "ok" if ollama_ok else "starting", "model": MODEL}
|