File size: 5,618 Bytes
cd34530 | 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 | #!/usr/bin/env python3
"""Serve the bonsai + decider-4b MetaCog merge as ONE OpenAI-compatible model.
thinker: bonsai 27B (ternary) ............ THINKER_URL (default http://localhost:8010)
judge: decider-4b (/v1/systemone) ..... JUDGE_URL (default http://localhost:8008)
POST /v1/chat/completions {"messages": [...]} -> judge-picked answer.
Env: PORT (8200), THINKER_URL, THINKER_MODEL (bonsai), JUDGE_URL,
N_PATHS (8), NO_CASCADE, MAX_TOKENS (2048), TEMPERATURE (0.8),
STOP_CONFIDENCE (0.80), NO_RACE (unset).
"""
from __future__ import annotations
import json
import os
import time
import uuid
import re
def clean_answer(text: str) -> str:
"""Strip <think>...</think> reasoning blocks the thinker may leak."""
return re.sub(r"<think>.*?</think>\s*", "", text, flags=re.S).strip()
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
from metacog import Config, MetaCog, OpenAICompatThinker, SystemOneJudge
from race import race
MODEL_ID = "heuristic-1"
def env(name: str, default: str) -> str:
return os.environ.get(name, default)
thinker = OpenAICompatThinker(
env("THINKER_URL", "http://localhost:8010"),
model=env("THINKER_MODEL", "bonsai"),
)
judge = SystemOneJudge(base_url=env("JUDGE_URL", "http://localhost:8008"))
USE_RACE = env("NO_RACE", "") != "1"
STOP_CONFIDENCE = float(env("STOP_CONFIDENCE", "0.80"))
N_PATHS = int(env("N_PATHS", "8"))
MAX_TOKENS = int(env("MAX_TOKENS", "2048"))
TEMPERATURE = float(env("TEMPERATURE", "0.8"))
MC = MetaCog(
thinker,
judge,
Config(
mode="best_of_n",
strategy="noul",
n_paths=N_PATHS,
greedy_anchor=True,
cascade_confidence=None if env("NO_CASCADE", "") == "1" else 0.95,
max_tokens=MAX_TOKENS,
temperature=TEMPERATURE,
),
)
def problem_from(messages):
for m in reversed(messages):
if m.get("role") == "user":
c = m.get("content", "")
return c if isinstance(c, str) else json.dumps(c)
return "\n".join(f"{m.get('role')}: {m.get('content')}" for m in messages)
class Handler(BaseHTTPRequestHandler):
server_version = "MergeServer/1.0"
def _send(self, code, obj):
body = json.dumps(obj).encode()
self.send_response(code)
self.send_header("Content-Type", "application/json")
self.send_header("Content-Length", str(len(body)))
self.end_headers()
self.wfile.write(body)
def log_message(self, fmt, *args):
print(f"[{time.strftime('%H:%M:%S')}] {self.command} {self.path}", flush=True)
def do_GET(self):
path = self.path.rstrip("/")
if path in ("/health", "/v1/health", "/v1/models"):
self._send(200, {"status": "ok", "model": MODEL_ID})
else:
self._send(404, {"error": "not found"})
def do_POST(self):
path = self.path.rstrip("/")
if path not in ("/v1/chat/completions", "/chat/completions"):
return self._send(404, {"error": "not found"})
try:
raw = self.rfile.read(int(self.headers.get("Content-Length", 0))) or b"{}"
body = json.loads(raw)
except Exception as e:
return self._send(400, {"error": f"bad JSON: {e}"})
messages = body.get("messages", [])
if not messages:
return self._send(400, {"error": "messages required"})
t0 = time.time()
try:
if USE_RACE:
r = race(problem_from(messages), thinker, judge,
n_paths=N_PATHS, stop_confidence=STOP_CONFIDENCE,
max_tokens=MAX_TOKENS, temperature=TEMPERATURE)
answer, finished = clean_answer(r.answer), r.finished
conf, toks, dt = r.confidence, r.thinker_tokens, r.seconds
else:
result = MC.run(problem_from(messages))
dt = time.time() - t0
rounds = result.trace.rounds
conf = float(rounds[-1].verdict.confidence) if rounds else 0.0
answer, finished, toks = (clean_answer(result.answer),
result.finished,
result.trace.thinker_tokens)
except Exception as e:
return self._send(502, {"error": f"pipeline failed: {e}"})
print(f"[{time.strftime('%H:%M:%S')}] conf={conf:.2f} {dt:.1f}s", flush=True)
self._send(
200,
{
"id": f"merge-{uuid.uuid4().hex[:12]}",
"object": "chat.completion",
"created": int(time.time()),
"model": body.get("model", MODEL_ID),
"choices": [
{
"index": 0,
"message": {"role": "assistant", "content": answer},
"finish_reason": "stop" if finished else "length",
}
],
"usage": {
"prompt_tokens": 0,
"completion_tokens": toks,
"total_tokens": toks,
},
"merge": {
"thinker": "bonsai",
"judge": "decider-4b",
"judge_confidence": round(conf, 4),
"seconds": round(dt, 2),
},
},
)
def main() -> None:
port = int(env("PORT", "8200"))
print(f"{MODEL_ID} on :{port}", flush=True)
ThreadingHTTPServer(("0.0.0.0", port), Handler).serve_forever()
if __name__ == "__main__":
main()
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