guardrails-api-client

import guardrails_api_client import os # Ensure GUARDRAILS_API_KEY is set in your environment # Example: export GUARDRAILS_API_KEY="your_api_key_here" api_key = os.environ.get("GUARDRAILS_API_KEY", "") if not api_key: print("Error: GUARDRAILS_API_KEY environment variable is not set.") print("Please set it before running the quickstart.") else: client = guardrails_api_client.Client( base_url="https://api.guardrails.ai", # Or your custom base URL api_key=api_key, ) try: # Replace 'your-guard-id' with an actual guard ID from your Guardrails account response = client.v1.create_run( llm_output="Hello, I am an AI model.", guard_id="your-guard-id", # ... other parameters like metadata, stream etc. ).result print(f"Is valid: {response.is_valid}") if not response.is_valid: print(f"Reasons: {response.reasons}") print(f"Fixed output: {response.fixed_output}") except guardrails_api_client.errors.V1CreateRunError as e: print(f"API Error: {e.response.json() if e.response else e}") except Exception as e: print(f"An unexpected error occurred: {e}")