#!/usr/bin/env python3 """Per-case cost of a self-hosted Text-to-Scene run from the token counts its agent logged (user, 2026-10-16: "Gemma的价格可以估算一下?"). The OpenRouter-loop agent writes every model call's usage to /episode/openrouter_r*_raw.jsonl (`llm_request` items: input_tokens, cached_input_tokens, output_tokens, which include reasoning_output_tokens). A self-hosted model is not billed (cost_usd_micros 0), so the internal table has no cost for it; this prices the logged tokens at the model's OpenRouter list price. The kept attempt of each case is /cases//final, as for every other model. Read-only; JSON on stdout: ssh python3 - ... < scripts/t2s_token_cost.py > ../t2s-src/_cost.json """ import glob import json import os import statistics import sys P_IN, P_CACHED, P_OUT = (float(x) for x in sys.argv[1:4]) RUNS = sys.argv[4:] out, problems = {}, [] for rd in RUNS: for cdir in sorted(glob.glob(os.path.join(rd, "cases", "*-long"))): case = os.path.basename(cdir) att = os.path.realpath(os.path.join(cdir, "final")) streams = sorted(glob.glob(os.path.join(att, "episode", "openrouter_r*_raw.jsonl"))) if not streams: continue tok = {"input": 0, "cached": 0, "output": 0, "reasoning": 0} calls = 0 for path in streams: for line in open(path, errors="ignore"): if '"llm_request"' not in line: continue try: item = json.loads(line).get("item") or {} except ValueError: continue u = item.get("usage") if item.get("type") == "llm_request" else None if not u: continue inp, cached, outp, rsn = (int(u.get(k) or 0) for k in ("input_tokens", "cached_input_tokens", "output_tokens", "reasoning_output_tokens")) if cached > inp or rsn > outp: problems.append("%s: usage outside the checked semantics %s" % (case, u)) tok["input"] += inp; tok["cached"] += cached; tok["output"] += outp; tok["reasoning"] += rsn calls += 1 usd = ((tok["input"] - tok["cached"]) * P_IN + tok["cached"] * P_CACHED + tok["output"] * P_OUT) / 1e6 if not calls: problems.append("%s: no logged usage in %s" % (case, att)) out[case] = {"attempt": att, "calls": calls, "tokens": tok, "cost_usd": round(usd, 6) if calls else None} costs = [v["cost_usd"] for v in out.values() if v["cost_usd"] is not None] json.dump({"method": __doc__, "prices_per_million": [P_IN, P_CACHED, P_OUT], "cases": out, "problems": problems, "median_cost_usd": statistics.median(costs) if costs else None, "n": len(costs)}, sys.stdout, indent=1)