Public one-liner for opencode. Catalog is the filtered chat list from api.arka-ai.ru/v1/models, refreshed daily at 05:00 Europe/Moscow.
130 lines
3.3 KiB
Python
Executable File
130 lines
3.3 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Rebuild catalog.json from the public arka-ai.ru OpenAI-compatible models list.
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Keep FORCED_MODELS / NON_CHAT in lockstep with plugins/arka-ai.ts.
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"""
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from __future__ import annotations
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import json
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import re
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import sys
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import urllib.request
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from datetime import datetime, timezone
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from pathlib import Path
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API_URL = "https://api.arka-ai.ru/v1/models"
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ROOT = Path(__file__).resolve().parents[1]
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OUT = ROOT / "catalog.json"
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FORCED_MODELS = [
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"DeepSeek-V4-Pro",
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"deepseek-v4-flash-0731",
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"qwen3.8-max",
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"kimi-k3",
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"MiniMax-M3",
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"GLM-5.3",
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]
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NON_CHAT = re.compile(
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"|".join(
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[
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"tts",
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"asr",
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"audio",
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"speech",
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"voice",
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"whisper",
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"sensevoice",
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"image",
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r"(^|[.-])img",
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"wan",
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"vidu",
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"video",
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"sora",
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"flux",
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"diffus",
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"kolors",
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"cogview",
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"ocr",
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"embedding",
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r"(^|[.-])embed",
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"rerank",
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"clip",
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"moderation",
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r"(^|[.-])filter",
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"detect",
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"classif",
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r"(^|[.-])location",
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r"(^|[.-])search",
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"comfyui",
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"meme",
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"hello",
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r"(^|[.-])sam",
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"florence",
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"esrgan",
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"rmbg",
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"background",
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"poster",
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r"(^|[.-])face",
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r"(^|[.-])lip",
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"translate",
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r"(^|[.-])mt([2-]|$)",
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r"(^|[.-])bge",
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r"(^|[.-])e5",
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r"(^|[.-])jina",
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r"(^|[.-])mpnet",
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"spark-tts",
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"cosyvoice",
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"chattts",
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"indextts",
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"step-audio",
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"fish-speech",
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"cosy",
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"mate-gguf",
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"tokenizer",
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]
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),
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re.I,
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)
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def fetch_models() -> list[dict]:
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req = urllib.request.Request(API_URL, headers={"User-Agent": "arka-public-catalog-sync"})
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with urllib.request.urlopen(req, timeout=30) as resp:
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payload = json.load(resp)
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data = payload.get("data") or []
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if not isinstance(data, list) or not data:
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raise SystemExit("empty models list from api.arka-ai.ru")
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return data
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def keep(item: dict) -> bool:
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mid = item.get("id") or ""
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return mid in FORCED_MODELS or not NON_CHAT.search(mid)
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def main() -> int:
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raw = fetch_models()
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chat = [item for item in raw if keep(item)]
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chat.sort(key=lambda item: item.get("id") or "")
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missing = [mid for mid in FORCED_MODELS if not any(item.get("id") == mid for item in chat)]
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if missing:
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print("warning: forced models missing from catalog:", ", ".join(missing), file=sys.stderr)
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out = {
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"updated_at": datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ"),
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"source": API_URL,
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"raw_count": len(raw),
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"chat_count": len(chat),
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"object": "list",
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"data": [{"id": item.get("id"), "object": "model"} for item in chat],
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}
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text = json.dumps(out, ensure_ascii=False, indent=2) + "\n"
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OUT.write_text(text, encoding="utf-8")
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print(f"wrote {OUT} raw={out['raw_count']} chat={out['chat_count']}")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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