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import logging
from typing import List, Dict, Optional
from fastapi import FastAPI, HTTPException, Query, Path
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from datetime import datetime, timedelta
# Setup logging
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(levelname)s] %(name)s - %(message)s",
datefmt="%Y-%m-%d %H:%M:%S",
)
logger = logging.getLogger(__name__)
# FastAPI app
app = FastAPI(
title="Free Models API",
description="API to fetch and filter free AI models from OpenRouter",
version="1.0.0"
)
# Pydantic models for response structure
class Architecture(BaseModel):
modality: str
input_modalities: List[str]
output_modalities: List[str]
tokenizer: str
instruct_type: Optional[str]
class Pricing(BaseModel):
prompt: str
completion: str
request: str
image: str
audio: str
web_search: str
internal_reasoning: str
class TopProvider(BaseModel):
context_length: int
max_completion_tokens: int
is_moderated: bool
class Model(BaseModel):
id: str
canonical_slug: str
hugging_face_id: Optional[str]
name: str
created: int
description: str
context_length: int
architecture: Architecture
pricing: Pricing
top_provider: TopProvider
per_request_limits: Optional[Dict]
supported_parameters: List[str]
class FreeModelsResponse(BaseModel):
success: bool
message: str
count: int
models: List[Model]
filtered_at: str
# Cache for storing API responses
cache = {
"data": None,
"timestamp": None,
"ttl_minutes": 15 # Cache for 15 minutes
}
# Supported categories
SUPPORTED_CATEGORIES = [
"chat", "reasoning", "vision", "coding", "lightweight",
"roleplay", "marketing", "programming", "image", "text"
]
class OpenRouterClient:
"""Client for interacting with OpenRouter API"""
def __init__(self, api_key: Optional[str] = None):
self.base_url = "https://openrouter.ai/api/v1"
self.api_key = api_key
self.session = None
async def __aenter__(self):
timeout = aiohttp.ClientTimeout(total=30)
connector = aiohttp.TCPConnector(limit=10)
headers = {
"User-Agent": "Free-Models-API/1.0.0",
"Content-Type": "application/json"
}
if self.api_key:
headers["Authorization"] = f"Bearer {self.api_key}"
self.session = aiohttp.ClientSession(
timeout=timeout,
connector=connector,
headers=headers
)
return self
async def __aexit__(self, exc_type, exc_val, exc_tb):
if self.session:
await self.session.close()
async def get_models(self, category: Optional[str] = None) -> Dict:
"""Fetch all available models from OpenRouter"""
url = f"{self.base_url}/models"
params = {}
if category:
params["category"] = category
try:
logger.info(f"Fetching models from OpenRouter API{f' with category: {category}' if category else ''}...")
async with self.session.get(url, params=params) as response:
if response.status != 200:
logger.error(f"OpenRouter API returned status {response.status}")
raise Exception(f"API request failed with status {response.status}")
data = await response.json()
logger.info(f"Successfully fetched {len(data.get('data', []))} models")
return data
except Exception as e:
logger.error(f"Error fetching models: {str(e)}")
raise
def is_cache_valid() -> bool:
"""Check if cached data is still valid"""
if not cache["timestamp"] or not cache["data"]:
return False
expiry_time = cache["timestamp"] + timedelta(minutes=cache["ttl_minutes"])
return datetime.now() < expiry_time
def filter_free_models(models_data: Dict) -> List[Dict]:
"""Filter models where both prompt and completion pricing are '0'"""
if not models_data.get("data"):
return []
free_models = []
for model in models_data["data"]:
pricing = model.get("pricing", {})
prompt_price = pricing.get("prompt", "")
completion_price = pricing.get("completion", "")
# Check if both prompt and completion are "0" (free)
if prompt_price == "0" and completion_price == "0":
free_models.append(model)
logger.debug(f"Found free model: {model.get('name', 'Unknown')}")
logger.info(f"Found {len(free_models)} free models out of {len(models_data['data'])} total models")
return free_models
async def get_free_models_data(category: Optional[str] = None) -> List[Dict]:
"""Get free models data with caching"""
# Use cached data if valid
if is_cache_valid() and not category: # Don't use cache for category-specific requests
logger.info("Using cached data")
return filter_free_models(cache["data"])
# Fetch fresh data
async with OpenRouterClient() as client:
try:
models_data = await client.get_models(category=category)
# Update cache only for general requests (no category)
if not category:
cache["data"] = models_data
cache["timestamp"] = datetime.now()
logger.info("Updated cache with fresh data")
return filter_free_models(models_data)
except Exception as e:
# If we have cached data, use it as fallback
if cache["data"] and not category:
logger.warning(f"API request failed, using cached data: {str(e)}")
return filter_free_models(cache["data"])
else:
raise HTTPException(
status_code=503,
detail=f"Failed to fetch models and no cached data available: {str(e)}"
)
@app.get("/", response_model=Dict)
async def root():
"""Root endpoint with API information"""
return {
"message": "Free Models API - Filter free AI models from OpenRouter",
"version": "1.0.0",
"endpoints": {
"free_models": "/api/free-models",
"free_models_by_category": "/api/free-models?category=programming",
"category_route": "/api/category/{category}/free-models",
"free_model_names": "/api/free-models/names",
"specific_model": "/api/free-models/{model_id}",
"supported_categories": "/api/categories",
"health": "/health"
},
"description": "This API fetches models from OpenRouter and filters for free models (prompt=0, completion=0)"
}
@app.get("/api/categories")
async def get_supported_categories():
"""Get list of supported categories"""
return {
"success": True,
"message": "List of supported categories",
"categories": SUPPORTED_CATEGORIES,
"usage": "Use these categories with /api/category/{category}/free-models"
}
@app.get("/api/category/{category}/free-models", response_model=FreeModelsResponse)
async def get_free_models_by_category(
category: str = Path(..., description="Category to filter by (e.g., chat, coding, vision)")
):
"""Get free models filtered by specific category"""
# Validate category
if category.lower() not in [cat.lower() for cat in SUPPORTED_CATEGORIES]:
raise HTTPException(
status_code=400,
detail=f"Unsupported category '{category}'. Supported categories: {', '.join(SUPPORTED_CATEGORIES)}"
)
try:
free_models = await get_free_models_data(category=category.lower())
return FreeModelsResponse(
success=True,
message=f"Successfully retrieved {len(free_models)} free models in category '{category}'",
count=len(free_models),
models=free_models,
filtered_at=datetime.now().isoformat()
)
except HTTPException:
raise
except Exception as e:
logger.error(f"Error in get_free_models_by_category: {str(e)}")
raise HTTPException(status_code=500, detail=str(e))
@app.get("/api/free-models", response_model=FreeModelsResponse)
async def get_free_models(
category: Optional[str] = Query(None, description="Filter by category (e.g., 'programming', 'chat')")
):
"""Get all free AI models from OpenRouter"""
try:
free_models = await get_free_models_data(category=category)
return FreeModelsResponse(
success=True,
message=f"Successfully retrieved {len(free_models)} free models" + (f" in category '{category}'" if category else ""),
count=len(free_models),
models=free_models,
filtered_at=datetime.now().isoformat()
)
except HTTPException:
raise
except Exception as e:
logger.error(f"Error in get_free_models: {str(e)}")
raise HTTPException(status_code=500, detail=str(e))
@app.get("/api/free-models/names/{name}", response_model=Dict)
async def get_free_model_names(
name: bool = False,
category: Optional[str] = Query(None, description="Filter by category")
):
"""Get just the names and IDs of free models"""
try:
free_models = await get_free_models_data(category=category)
if name:
return {
"success": True,
"message": f"Retrieved {len(free_models)} free model names",
"count": len(free_models),
"models": [{"id": model["id"]} for model in free_models],
"filtered_at": datetime.now().isoformat()
}
model_names = [
{
"id": model["id"],
"name": model["name"],
"input_modalities": model.get("architecture", {}).get("input_modalities"),
"output_modalities": model.get("architecture", {}).get("output_modalities"),
"per_request_limits": model.get("per_request_limits", {}),
"description": model.get("description", "")[:100] + "..." if len(model.get("description", "")) > 100 else model.get("description", "")
}
for model in free_models
]
return {
"success": True,
"message": f"Retrieved {len(model_names)} free model names",
"count": len(model_names),
"models": model_names,
"filtered_at": datetime.now().isoformat()
}
except HTTPException:
raise
except Exception as e:
logger.error(f"Error in get_free_model_names: {str(e)}")
raise HTTPException(status_code=500, detail=str(e))
@app.get("/api/free-models/{model_id}")
async def get_free_model_by_id(model_id: str):
"""Get specific free model by ID"""
try:
free_models = await get_free_models_data()
for model in free_models:
if model["id"] == model_id:
return {
"success": True,
"message": f"Found model {model_id}",
"model": model
}
raise HTTPException(
status_code=404,
detail=f"Free model with ID '{model_id}' not found"
)
except HTTPException:
raise
except Exception as e:
logger.error(f"Error in get_free_model_by_id: {str(e)}")
raise HTTPException(status_code=500, detail=str(e))
@app.get("/health")
async def health_check():
"""Health check endpoint"""
try:
# Test a simple API call to check connectivity
async with OpenRouterClient() as client:
await client.get_models()
return {
"status": "healthy",
"timestamp": datetime.now().isoformat(),
"cache_status": "valid" if is_cache_valid() else "expired",
"openrouter_api": "accessible"
}
except Exception as e:
return JSONResponse(
status_code=503,
content={
"status": "unhealthy",
"timestamp": datetime.now().isoformat(),
"error": str(e),
"cache_status": "valid" if is_cache_valid() else "expired",
"openrouter_api": "inaccessible"
}
)
@app.get("/ping")
async def ping():
"""Ping endpoint to check API status"""
return {"status": "ok"} |