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File size: 5,118 Bytes
2fb3ee9 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 | from fastapi import FastAPI, Request, HTTPException, Depends
from fastapi.responses import StreamingResponse
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from llama_cpp import Llama
import json
import time
import uuid
app = FastAPI()
security = HTTPBearer()
API_KEY = "connectkey"
MODEL_ID = "glm-4.7-flash"
# IQ1_S = 9.25 GB — single file, pasuje na CPU Upgrade (16GB RAM)
print("==> Loading GLM-4.7-Flash IQ1_S (9.25 GB) from HF...")
llm = Llama.from_pretrained(
repo_id="unsloth/GLM-4.7-Flash-GGUF",
filename="GLM-4.7-Flash-IQ1_S.gguf",
n_ctx=8192,
n_threads=4,
n_batch=512,
verbose=False,
)
print("==> Model loaded!")
def verify_key(credentials: HTTPAuthorizationCredentials = Depends(security)):
if credentials.credentials != API_KEY:
raise HTTPException(status_code=401, detail="Invalid API key")
return credentials.credentials
@app.get("/v1/models")
async def list_models(key: str = Depends(verify_key)):
return {
"object": "list",
"data": [{
"id": MODEL_ID,
"object": "model",
"created": int(time.time()),
"owned_by": "unsloth",
}]
}
@app.post("/v1/chat/completions")
async def chat_completions(request: Request, key: str = Depends(verify_key)):
body = await request.json()
messages = body.get("messages", [])
stream = body.get("stream", False)
max_tokens = body.get("max_tokens", 1024)
temperature = body.get("temperature", 1.0)
top_p = body.get("top_p", 0.95)
min_p = body.get("min_p", 0.01)
stop = body.get("stop", None)
completion_id = f"chatcmpl-{uuid.uuid4().hex}"
created = int(time.time())
if stream:
def generate():
for chunk in llm.create_chat_completion(
messages=messages,
max_tokens=max_tokens,
temperature=temperature,
top_p=top_p,
min_p=min_p,
stop=stop,
stream=True,
):
delta = chunk["choices"][0].get("delta", {})
finish_reason = chunk["choices"][0].get("finish_reason")
data = {
"id": completion_id,
"object": "chat.completion.chunk",
"created": created,
"model": MODEL_ID,
"choices": [{
"index": 0,
"delta": delta,
"finish_reason": finish_reason,
}]
}
yield f"data: {json.dumps(data)}\n\n"
yield "data: [DONE]\n\n"
return StreamingResponse(generate(), media_type="text/event-stream")
else:
result = llm.create_chat_completion(
messages=messages,
max_tokens=max_tokens,
temperature=temperature,
top_p=top_p,
min_p=min_p,
stop=stop,
stream=False,
)
return {
"id": completion_id,
"object": "chat.completion",
"created": created,
"model": MODEL_ID,
"choices": result["choices"],
"usage": result.get("usage", {}),
}
@app.post("/v1/completions")
async def completions(request: Request, key: str = Depends(verify_key)):
body = await request.json()
prompt = body.get("prompt", "")
stream = body.get("stream", False)
max_tokens = body.get("max_tokens", 512)
temperature = body.get("temperature", 1.0)
top_p = body.get("top_p", 0.95)
min_p = body.get("min_p", 0.01)
stop = body.get("stop", None)
completion_id = f"cmpl-{uuid.uuid4().hex}"
created = int(time.time())
if stream:
def generate():
for chunk in llm.create_completion(
prompt=prompt,
max_tokens=max_tokens,
temperature=temperature,
top_p=top_p,
min_p=min_p,
stop=stop,
stream=True,
):
data = {
"id": completion_id,
"object": "text_completion",
"created": created,
"model": MODEL_ID,
"choices": chunk["choices"],
}
yield f"data: {json.dumps(data)}\n\n"
yield "data: [DONE]\n\n"
return StreamingResponse(generate(), media_type="text/event-stream")
else:
result = llm.create_completion(
prompt=prompt,
max_tokens=max_tokens,
temperature=temperature,
top_p=top_p,
min_p=min_p,
stop=stop,
stream=False,
)
return {
"id": completion_id,
"object": "text_completion",
"created": created,
"model": MODEL_ID,
"choices": result["choices"],
"usage": result.get("usage", {}),
}
@app.get("/health")
async def health():
return {"status": "ok", "model": MODEL_ID}
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