import requests import os def openrouter_chat(prompt: str, model: str = "google/gemini-2.0-flash-exp:free") -> str: """Chat with free models via OpenRouter.""" response = requests.post( "https://openrouter.ai/api/v1/chat/completions", headers={ "Authorization": f"Bearer {os.getenv('OPENROUTER_API_KEY')}", "Content-Type": "application/json" }, json={ "model": model, "messages": [{"role": "user", "content": prompt}], "temperature": 0.7, "max_tokens": 500 }, timeout=30 ) response.raise_for_status() return response.json()["choices"][0]["message"]["content"] # Usage print(openrouter_chat("Write a Python function to reverse a string")) 

import requests import os def hf_inference(prompt: str, model: str = "google/flan-t5-base") -> str: """Use Hugging Face free inference API.""" response = requests.post( f"https://api-inference.huggingface.co/models/{model}", headers={"Authorization": f"Bearer {os.getenv('HF_TOKEN')}"} if os.getenv('HF_TOKEN') else {}, json={"inputs": prompt}, timeout=30 ) response.raise_for_status() return response.json()[0]["generated_text"] # Usage print(hf_inference("Translate to Spanish: Hello world")) 

import requests import os def gemini_generate(prompt: str) -> str: """Generate text with Google's free Gemini model.""" api_key = os.getenv("GEMINI_API_KEY") url = f"https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key={api_key}" response = requests.post( url, headers={"Content-Type": "application/json"}, json={ "contents": [{"parts": [{"text": prompt}]}], "generationConfig": {"temperature": 0.7, "maxOutputTokens": 500} }, timeout=30 ) response.raise_for_status() return response.json()["candidates"][0]["content"]["parts"][0]["text"] # Usage print(gemini_generate("Explain decorators in Python")) 

import requests import os import json class AICodeReviewer: def __init__(self): self.api_key = os.getenv("OPENROUTER_API_KEY") self.url = "https://openrouter.ai/api/v1/chat/completions" def review(self, code: str, language: str = "python") -> dict: prompt = f"""Review this {language} code for: 1. Bugs and logic errors 2. Performance issues 3. Best practices 4. Security concerns Code: ``` {% endraw %} {language} {code} {% raw %} ``` Return JSON: {{"issues": [...], "suggestions": [...], "rating": 1-10}}""" response = requests.post( self.url, headers={ "Authorization": f"Bearer {self.api_key}", "Content-Type": "application/json" }, json={ "model": "google/gemini-2.0-flash-exp:free", "messages": [{"role": "user", "content": prompt}], "temperature": 0.3, "max_tokens": 1000 }, timeout=30 ) response.raise_for_status() return json.loads(response.json()["choices"][0]["message"]["content"]) # Usage reviewer = AICodeReviewer() code = """ def process_users(users): for user in users: if user['age'] > 18: print(user['name']) """ result = reviewer.review(code) print(f"Rating: {result['rating']}/10") for issue in result['issues']: print(f"- {issue}") 

import time import requests def robust_ai_call(func, *args, retries=3, **kwargs): """Wrapper with exponential backoff for rate limits.""" for attempt in range(retries): try: return func(*args, **kwargs) except requests.exceptions.HTTPError as e: if e.response.status_code in (429, 503): wait = 2 ** attempt print(f"Rate limited, waiting {wait}s...") time.sleep(wait) else: raise raise Exception("Max retries exceeded") # Usage result = robust_ai_call(openrouter_chat, "Hello!")