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| import os | |
| from openai import OpenAI | |
| from dotenv import load_dotenv | |
| # 1. Load the .env file | |
| load_dotenv() | |
| api_key = os.getenv("OPENROUTER_API_KEY") | |
| print(f"Testing API Key: {api_key[:5]}...{api_key[-4:] if api_key else 'None'}") | |
| if not api_key: | |
| print("ERROR: No API Key found in .env file!") | |
| exit(1) | |
| # 2. Setup Client | |
| client = OpenAI( | |
| base_url="https://openrouter.ai/api/v1", | |
| api_key=api_key, | |
| ) | |
| print("\nSending request to OpenRouter...") | |
| try: | |
| # 3. Simple Test Request | |
| completion = client.chat.completions.create( | |
| model = "deepseek/deepseek-chat-v3.1", | |
| messages=[ | |
| {"role": "user", "content": "Say 'Hello World' if you can hear me."} | |
| ], | |
| ) | |
| # 4. Success Output | |
| print("\nSUCCESS! Response received:") | |
| print("-" * 30) | |
| print(completion.choices[0].message.content) | |
| print("-" * 30) | |
| except Exception as e: | |
| # 5. detailed Error Output | |
| print("\nFAILED. Here is the exact error:") | |
| print(e) |