File size: 8,744 Bytes
f0975ca | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 | """Generate Beam reasoning traces for a prompt pool, verify answers, append to JSONL.
Resumable: (id, effort) pairs already in --out are skipped. Stops launching new
requests when the daily output-token or request budget (from Reflection's rate
limit headers) drops below the reserve. Reads the key from REFLECTION_API_KEY.
"""
import argparse
import asyncio
import json
import os
import random
import sys
import time
from pathlib import Path
import httpx
sys.path.insert(0, str(Path(__file__).resolve().parent))
from verify import check # noqa: E402
BASE = "https://api.reflection.ai/openai/v1"
MODEL = "Beam-1.0-501B-A23B"
class Budget:
def __init__(self, reserve_out, reserve_req):
self.reserve_out = reserve_out
self.reserve_req = reserve_req
self.out_left = None
self.req_left = None
self.reset_s = None
def update(self, headers):
def num(name):
v = headers.get(name)
return int(float(v)) if v is not None else None
out_left = num("x-ratelimit-remaining-output-tokens-day")
req_left = num("x-ratelimit-remaining-requests-day")
if out_left is not None:
self.out_left = out_left
if req_left is not None:
self.req_left = req_left
r = headers.get("x-ratelimit-reset-output-tokens-day")
if r:
self.reset_s = float(r.rstrip("s"))
def exhausted(self):
return (self.out_left is not None and self.out_left < self.reserve_out) or (
self.req_left is not None and self.req_left < self.reserve_req
)
class Pacer:
"""Keep under the per-minute request limit."""
def __init__(self, per_minute):
self.interval = 60.0 / per_minute
self.next = time.monotonic()
self.lock = asyncio.Lock()
async def wait(self):
async with self.lock:
now = time.monotonic()
if self.next > now:
await asyncio.sleep(self.next - now)
self.next = max(now, self.next) + self.interval
async def call(client, item, args, budget, pacer):
body = {
"model": MODEL,
"messages": [{"role": "user", "content": item["prompt"]}],
"max_tokens": args.max_tokens,
"reasoning_effort": args.effort,
"temperature": args.temperature,
"top_p": args.top_p,
}
for attempt in range(6):
await pacer.wait()
t0 = time.time()
try:
r = await client.post(f"{BASE}/chat/completions", json=body)
except httpx.HTTPError as e:
err = f"transport: {e!r}"
await asyncio.sleep(min(60, 2**attempt + random.random()))
continue
budget.update(r.headers)
if r.status_code == 200:
return r.json(), time.time() - t0, None
err = f"HTTP {r.status_code}: {r.text[:300]}"
if r.status_code in (429, 500, 502, 503, 504):
if budget.exhausted():
return None, 0, err
wait = r.headers.get("retry-after")
await asyncio.sleep(float(wait) if wait else min(90, 2 ** (attempt + 1)))
continue
return None, 0, err
return None, 0, err
async def worker(name, queue, client, args, budget, pacer, out_f, stats):
while True:
item = await queue.get()
try:
if budget.exhausted() or stats["stop"]:
continue
resp, latency, err = await call(client, item, args, budget, pacer)
rec = {
"id": item["id"],
"effort": args.effort,
"domain": item["domain"],
"source": item["source"],
"prompt": item["prompt"],
"gold": item["answer"],
"answer_type": item["answer_type"],
"difficulty": item.get("difficulty"),
"topic": item.get("topic"),
"time": time.strftime("%Y-%m-%dT%H:%M:%S"),
}
if resp is None:
rec.update({"error": err})
stats["errors"] += 1
if "HTTP 4" in (err or "") and "429" not in err:
print(f"[{name}] non-retryable error: {err}", flush=True)
else:
choice = resp["choices"][0]
msg = choice["message"]
usage = resp.get("usage") or {}
rec.update(
{
"reasoning": msg.get("reasoning_content") or "",
"content": msg.get("content") or "",
"finish_reason": choice.get("finish_reason"),
"usage": usage,
"latency_s": round(latency, 2),
"response_id": resp.get("id"),
}
)
ok, pred = check(rec["content"], item["answer"], item["answer_type"])
rec["pred"] = pred
rec["correct"] = bool(ok) and rec["finish_reason"] == "stop"
stats["done"] += 1
stats["correct"] += rec["correct"]
stats["out_tokens"] += usage.get("completion_tokens", 0)
out_f.write(json.dumps(rec, ensure_ascii=False) + "\n")
out_f.flush()
n = stats["done"] + stats["errors"]
if n % args.log_every == 0:
print(progress(stats, budget), flush=True)
if args.target_correct and stats["correct"] >= args.target_correct:
stats["stop"] = True
finally:
queue.task_done()
def progress(stats, budget):
done = max(1, stats["done"])
return (
f"{time.strftime('%H:%M:%S')} done={stats['done']} err={stats['errors']} "
f"correct={stats['correct']} ({stats['correct'] / done:.0%}) "
f"mean_out={stats['out_tokens'] / done:.0f} "
f"out_left_day={budget.out_left} req_left_day={budget.req_left}"
)
async def main():
ap = argparse.ArgumentParser()
ap.add_argument("--pool", required=True)
ap.add_argument("--out", required=True)
ap.add_argument("--effort", default="medium")
ap.add_argument("--max-tokens", type=int, default=16384)
ap.add_argument("--temperature", type=float, default=0.7)
ap.add_argument("--top-p", type=float, default=0.99)
ap.add_argument("--concurrency", type=int, default=12)
ap.add_argument("--per-minute", type=float, default=50)
ap.add_argument("--limit", type=int, default=0, help="max new prompts this run")
ap.add_argument("--ids", help="file with ids to run (one per line)")
ap.add_argument("--target-correct", type=int, default=0)
ap.add_argument("--reserve-out", type=int, default=40000)
ap.add_argument("--reserve-req", type=int, default=200)
ap.add_argument("--log-every", type=int, default=20)
args = ap.parse_args()
key = os.environ.get("REFLECTION_API_KEY")
if not key:
sys.exit("REFLECTION_API_KEY not set")
pool = [json.loads(line) for line in open(args.pool)]
if args.ids:
wanted = [line.strip() for line in open(args.ids) if line.strip()]
by_id = {p["id"]: p for p in pool}
pool = [by_id[i] for i in wanted]
done = set()
if Path(args.out).exists():
for line in open(args.out):
r = json.loads(line)
if "error" not in r:
done.add((r["id"], r["effort"]))
todo = [p for p in pool if (p["id"], args.effort) not in done]
if args.limit:
todo = todo[: args.limit]
print(f"{len(todo)} prompts to run at effort={args.effort} ({len(done)} already done)", flush=True)
budget = Budget(args.reserve_out, args.reserve_req)
pacer = Pacer(args.per_minute)
stats = {"done": 0, "errors": 0, "correct": 0, "out_tokens": 0, "stop": False}
queue = asyncio.Queue()
for p in todo:
queue.put_nowait(p)
headers = {"Authorization": f"Bearer {key}"}
timeout = httpx.Timeout(connect=30, read=900, write=60, pool=60)
limits = httpx.Limits(max_connections=args.concurrency)
with open(args.out, "a") as out_f:
async with httpx.AsyncClient(headers=headers, timeout=timeout, limits=limits) as client:
workers = [
asyncio.create_task(worker(f"w{i}", queue, client, args, budget, pacer, out_f, stats))
for i in range(args.concurrency)
]
await queue.join()
for w in workers:
w.cancel()
print("FINISHED " + progress(stats, budget), flush=True)
if budget.exhausted():
print(f"STOPPED: daily budget reserve reached; resets in ~{(budget.reset_s or 0) / 3600:.1f}h", flush=True)
if __name__ == "__main__":
asyncio.run(main())
|