add open router api fetch script

scripts/models_meta.py

@@ -0,0 +1,74 @@
+import httpx
+import json
+import asyncio
+from typing import TypedDict
+
+
+class ModelArchitecture(TypedDict):
+    modality: str
+    input_modalities: list[str]
+    output_modalities: list[str]
+    tokenizer: str
+    instruct_type: str | None
+
+
+class ModelPricing(TypedDict):
+    prompt: str
+    completion: str
+    request: str
+    image: str
+    web_search: str
+    internal_reasoning: str
+
+
+class ModelProvider(TypedDict):
+    context_length: int
+    max_completion_tokens: int | None
+    is_moderated: bool
+
+
+class Model(TypedDict):
+    id: str
+    name: str
+    created: int
+    description: str
+    context_length: int
+    architecture: ModelArchitecture
+    pricing: ModelPricing
+    top_provider: ModelProvider
+    per_request_limits: dict | None
+
+
+async def fetch_openrouter_models() -> list[Model]:
+    """Fetches model information from OpenRouter API."""
+    async with httpx.AsyncClient() as client:
+        response = await client.get("https://openrouter.ai/api/v1/models")
+        response.raise_for_status()
+        data = response.json()
+
+        models_data: list[Model] = []
+        for model in data.get("data", []):
+            # Skip models with '(free)' in the name or id = 'openrouter/auto'
+            if (
+                "(free)" in model.get("name", "")
+                or model.get("id") == "openrouter/auto"
+            ):
+                continue
+
+            models_data.append(model)
+
+        return models_data
+
+
+async def main() -> None:
+    models = await fetch_openrouter_models()
+
+    # Print the first model data in a nicely indented JSON format
+    print(json.dumps(models[0], indent=4))
+
+    with open("or-models.json", "w") as f:
+        json.dump({"models": models}, f, indent=4)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())