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Download classifier/scripts/process_openrouter.py from duarteocarmo/bagaco3: direct link, hf CLI and curl.
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https://huggingface.co/datasets/duarteocarmo/bagaco3/resolve/main/classifier/scripts/process_openrouter.py
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hf download hf://datasets/duarteocarmo/bagaco3/classifier/scripts/process_openrouter.py
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curl -L -o process_openrouter.py https://huggingface.co/datasets/duarteocarmo/bagaco3/resolve/main/classifier/scripts/process_openrouter.py
6.77 kB
| """Submit and retrieve OpenRouter batch jobs.""" | |
| import argparse | |
| import json | |
| import os | |
| import urllib.error | |
| import urllib.request | |
| from pathlib import Path | |
| BATCHES_URL = "https://openrouter.ai/api/beta/batches" | |
| MAX_REQUESTS_PER_BATCH = 5_000 | |
| TERMINAL_STATUSES = {"completed", "failed", "expired", "cancelled"} | |
| def openrouter_api_key() -> str: | |
| """Return the configured OpenRouter API key.""" | |
| api_key = os.getenv("OPENROUTER_API_KEY") | |
| if not api_key: | |
| raise RuntimeError("Set OPENROUTER_API_KEY before submitting or monitoring a batch.") | |
| return api_key | |
| def send_request( | |
| url: str, method: str, api_key: str, payload: dict | None = None | |
| ) -> dict: | |
| """Send an authenticated JSON request to OpenRouter.""" | |
| data = json.dumps(payload).encode() if payload is not None else None | |
| request = urllib.request.Request( | |
| url=url, | |
| data=data, | |
| headers={ | |
| "Authorization": f"Bearer {api_key}", | |
| "Content-Type": "application/json", | |
| }, | |
| method=method, | |
| ) | |
| try: | |
| with urllib.request.urlopen(request) as response: | |
| return json.load(response) | |
| except urllib.error.HTTPError as error: | |
| details = error.read().decode() | |
| raise RuntimeError(f"OpenRouter returned HTTP {error.code}: {details}") from error | |
| def batch_requests( | |
| input_file: Path, | |
| max_tokens: int, | |
| reasoning_effort: str | None, | |
| start_row: int, | |
| end_row: int | None, | |
| ) -> list[dict]: | |
| """Convert prompt rows into chat-completion batch requests.""" | |
| requests = [] | |
| with input_file.open(encoding="utf-8") as file: | |
| for line_number, line in enumerate(file): | |
| if line_number < start_row: | |
| continue | |
| if end_row is not None and line_number >= end_row: | |
| break | |
| row = json.loads(line) | |
| body = { | |
| "messages": [{"role": "user", "content": row["prompt"]}], | |
| "max_tokens": max_tokens, | |
| "response_format": {"type": "json_object"}, | |
| } | |
| if reasoning_effort: | |
| body["reasoning"] = {"effort": reasoning_effort} | |
| requests.append( | |
| { | |
| "custom_id": row.get("custom_id", f"row-{line_number:06d}"), | |
| "body": body, | |
| } | |
| ) | |
| if not requests: | |
| raise ValueError(f"{input_file} contains no requests.") | |
| return requests | |
| def submit_batch(arguments: argparse.Namespace) -> None: | |
| """Split a JSONL file into OpenRouter batch jobs and submit them.""" | |
| if arguments.start_row < 0: | |
| raise ValueError("--start-row must be zero or greater.") | |
| if arguments.end_row is not None and arguments.end_row <= arguments.start_row: | |
| raise ValueError("--end-row must be greater than --start-row.") | |
| requests = batch_requests( | |
| input_file=arguments.input_file, | |
| max_tokens=arguments.max_tokens, | |
| reasoning_effort=arguments.reasoning_effort, | |
| start_row=arguments.start_row, | |
| end_row=arguments.end_row, | |
| ) | |
| manifest_file = arguments.manifest_file or arguments.input_file.with_suffix( | |
| ".batches.json" | |
| ) | |
| submitted_batches = [] | |
| for start in range(0, len(requests), MAX_REQUESTS_PER_BATCH): | |
| request_batch = requests[start : start + MAX_REQUESTS_PER_BATCH] | |
| payload = { | |
| "endpoint": "/v1/chat/completions", | |
| "model": arguments.model, | |
| "requests": request_batch, | |
| } | |
| batch = send_request( | |
| url=BATCHES_URL, | |
| method="POST", | |
| api_key=openrouter_api_key(), | |
| payload=payload, | |
| ) | |
| submitted_batches.append({"id": batch["id"], "requests": len(request_batch)}) | |
| manifest_file.write_text( | |
| json.dumps( | |
| { | |
| "model": arguments.model, | |
| "input_file": str(arguments.input_file), | |
| "start_row": arguments.start_row, | |
| "end_row": arguments.end_row, | |
| "batches": submitted_batches, | |
| }, | |
| indent=2, | |
| ) | |
| + "\n", | |
| encoding="utf-8", | |
| ) | |
| print(f"Submitted {len(request_batch):,} requests: {batch['id']}") | |
| print(f"Status: {batch['status']}") | |
| print(f"Saved batch IDs to {manifest_file}") | |
| def monitor_batch(arguments: argparse.Namespace) -> None: | |
| """Print batch status and save completed results.""" | |
| batch = send_request( | |
| url=f"{BATCHES_URL}/{arguments.batch_id}", | |
| method="GET", | |
| api_key=openrouter_api_key(), | |
| ) | |
| print(f"Status: {batch['status']}") | |
| print(json.dumps(batch["request_counts"], indent=2)) | |
| if batch["status"] not in TERMINAL_STATUSES: | |
| return | |
| if batch["status"] != "completed": | |
| return | |
| output_file = arguments.output_file or Path(f"{arguments.batch_id}.jsonl") | |
| with output_file.open(mode="w", encoding="utf-8") as file: | |
| for result in batch["results"]: | |
| file.write(json.dumps(result, ensure_ascii=False) + "\n") | |
| print(f"Saved {len(batch['results']):,} results to {output_file}") | |
| def parse_arguments() -> argparse.Namespace: | |
| """Parse submit and monitor command-line arguments.""" | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| commands = parser.add_subparsers(dest="command", required=True) | |
| submit = commands.add_parser( | |
| name="submit", help="Submit a JSONL prompt file as a batch job." | |
| ) | |
| submit.add_argument("input_file", type=Path) | |
| submit.add_argument("--model", required=True, help="OpenRouter model slug.") | |
| submit.add_argument("--max-tokens", type=int, default=256) | |
| submit.add_argument("--manifest-file", type=Path) | |
| submit.add_argument( | |
| "--start-row", | |
| type=int, | |
| default=0, | |
| help="Skip input rows before this zero-based row number.", | |
| ) | |
| submit.add_argument( | |
| "--end-row", | |
| type=int, | |
| help="Stop before this zero-based row number.", | |
| ) | |
| submit.add_argument( | |
| "--reasoning-effort", | |
| choices=("none", "low", "medium", "high"), | |
| help="OpenRouter reasoning effort; omit to use the model default.", | |
| ) | |
| submit.set_defaults(handler=submit_batch) | |
| monitor = commands.add_parser( | |
| name="monitor", help="Check a batch and save completed results." | |
| ) | |
| monitor.add_argument("batch_id") | |
| monitor.add_argument("--output-file", type=Path) | |
| monitor.set_defaults(handler=monitor_batch) | |
| return parser.parse_args() | |
| def main() -> None: | |
| """Run the selected batch command.""" | |
| arguments = parse_arguments() | |
| arguments.handler(arguments) | |
| if __name__ == "__main__": | |
| main() | |