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15c3265 9b7e0a7 15c3265 9b7e0a7 15c3265 9b7e0a7 15c3265 9b7e0a7 15c3265 9b7e0a7 15c3265 | 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 | """Run meta-cognitive QA loop end-to-end."""
from __future__ import annotations
import argparse
import json
from pathlib import Path
import time
from fic_agent.config import RuntimeConfig
from fic_agent.generation.meta_loop import run_meta_cognitive_qa
def main() -> None:
parser = argparse.ArgumentParser(description="fic-agent meta-cognitive QA")
parser.add_argument("--query", required=True, help="User question")
parser.add_argument("--character", default=None, help="Target character")
parser.add_argument("--max-iter", type=int, default=None, help="Max retrieval loops")
parser.add_argument("--style-correct", action="store_true", help="Apply style-only rewrite pass")
parser.add_argument("--dump-evidence", action="store_true", help="Print merged evidence pool")
parser.add_argument("--dump-trace", action="store_true", help="Print loop trace")
parser.add_argument("--save-json", default=None, help="Optional output json path")
args = parser.parse_args()
cfg = RuntimeConfig()
gen_t0 = time.perf_counter()
result = run_meta_cognitive_qa(
query=args.query,
cfg=cfg,
character=args.character,
style_correct=args.style_correct,
max_iterations=args.max_iter,
)
generation_latency_sec = round(max(0.0, time.perf_counter() - gen_t0), 3)
print("=== FINAL ANSWER ===")
print(result.answer)
print(
f"\n=== TOKEN USAGE === total={result.token_usage.get('total_tokens', 0)} "
f"(prompt={result.token_usage.get('prompt_tokens', 0)}, "
f"completion={result.token_usage.get('completion_tokens', 0)}, "
f"calls={result.token_usage.get('calls', 0)})"
)
print(f"=== GENERATION LATENCY === {generation_latency_sec:.3f}s")
if args.dump_trace:
print("\n=== LOOP TRACE ===")
for s in result.trace:
print(
f"iter={s.iteration} sufficient={s.sufficient} conf={s.confidence:.2f} "
f"probe={s.probe!r} missing={s.missing}"
)
if args.dump_evidence:
print("\n=== EVIDENCE POOL ===")
print(json.dumps(result.evidence, ensure_ascii=False, indent=2))
if args.save_json:
out = {
"query": args.query,
"character": args.character,
"answer": result.answer,
"trace": [s.__dict__ for s in result.trace],
"evidence": result.evidence,
"token_usage": result.token_usage,
"generation_latency_sec": generation_latency_sec,
}
path = Path(args.save_json)
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(out, ensure_ascii=False, indent=2), encoding="utf-8")
print(f"\nSaved json to {path}")
if __name__ == "__main__":
main()
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