from __future__ import annotations import base64 import json import os import shutil import subprocess import tempfile from pathlib import Path from typing import Any import requests DEFAULT_OPENROUTER_MODEL = "google/gemini-3.1-pro-preview" DEFAULT_OPENROUTER_URL = "https://openrouter.ai/api/v1/chat/completions" DEFAULT_OPENROUTER_SITE_URL = "http://localhost" DEFAULT_OPENROUTER_APP_NAME = "low-high-new" def extract_frames(video_path: str, *, frame_count: int = 4, width: int = 640) -> list[Path]: tmpdir = Path(tempfile.mkdtemp(prefix="openrouter_frames_")) out_pattern = tmpdir / "frame_%02d.jpg" ffmpeg = shutil.which("ffmpeg") if not ffmpeg: try: import imageio_ffmpeg ffmpeg = imageio_ffmpeg.get_ffmpeg_exe() except Exception as exc: raise FileNotFoundError( "ffmpeg was not found in PATH, and imageio-ffmpeg is not available. " "Install ffmpeg or `pip install imageio-ffmpeg`." ) from exc cmd = [ ffmpeg, "-y", "-i", video_path, "-vf", f"fps=1,scale={width}:-1", "-frames:v", str(frame_count), str(out_pattern), ] subprocess.run(cmd, check=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) return sorted(tmpdir.glob("frame_*.jpg")) def _image_to_data_url(path: Path) -> str: payload = base64.b64encode(path.read_bytes()).decode("ascii") return f"data:image/jpeg;base64,{payload}" def _extract_json_object(text: str) -> dict[str, Any]: stripped = text.strip() if stripped.startswith("```"): lines = stripped.splitlines() if lines and lines[0].startswith("```"): lines = lines[1:] if lines and lines[-1].startswith("```"): lines = lines[:-1] stripped = "\n".join(lines).strip() start = stripped.find("{") end = stripped.rfind("}") if start == -1 or end == -1 or end <= start: raise ValueError("No JSON object found in model output.") return json.loads(stripped[start : end + 1]) class OpenRouterVisionModel: def __init__( self, *, model: str = DEFAULT_OPENROUTER_MODEL, api_url: str = DEFAULT_OPENROUTER_URL, api_key_env: str = "OPENROUTER_API_KEY", timeout: int = 300, max_tokens: int = 1500, site_url: str | None = None, app_name: str | None = None, ) -> None: self.model = model self.api_url = api_url self.timeout = timeout self.max_tokens = max_tokens self.site_url = (site_url or os.environ.get("OPENROUTER_SITE_URL") or DEFAULT_OPENROUTER_SITE_URL).strip() self.app_name = (app_name or os.environ.get("OPENROUTER_APP_NAME") or DEFAULT_OPENROUTER_APP_NAME).strip() self.api_key = os.environ.get(api_key_env, "").strip() if not self.api_key: raise RuntimeError(f"Missing OpenRouter API key in env var: {api_key_env}") def predict_json(self, *, system_prompt: str, user_text: str, image_paths: list[str]) -> dict[str, Any]: content: list[dict[str, Any]] = [{"type": "text", "text": user_text}] for image_path in image_paths: content.append({"type": "image_url", "image_url": {"url": _image_to_data_url(Path(image_path))}}) response = requests.post( self.api_url, headers={ "Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json", "HTTP-Referer": self.site_url, "X-Title": self.app_name, }, json={ "model": self.model, "messages": [ {"role": "system", "content": system_prompt}, {"role": "user", "content": content}, ], "temperature": 0.2, "max_tokens": self.max_tokens, }, timeout=self.timeout, ) if not response.ok: body = response.text.strip() try: payload = response.json() body = json.dumps(payload, ensure_ascii=False) except Exception: pass raise RuntimeError( f"OpenRouter request failed: status={response.status_code}, model={self.model}, body={body}" ) payload = response.json() text = payload["choices"][0]["message"]["content"] return _extract_json_object(text)