llama-index-cli

import os import subprocess # NOTE: llama-index-cli is deprecated. Use the main llama-index library # or the 'create-llama' CLI for new projects. # 1. Set your OpenAI API key (required by default for embeddings/LLM) # Replace 'YOUR_OPENAI_API_KEY' with your actual key or set it as an env var. os.environ['OPENAI_API_KEY'] = os.environ.get('OPENAI_API_KEY', 'YOUR_OPENAI_API_KEY') # Create a dummy file for demonstration with open('example.txt', 'w') as f: f.write('LlamaIndex is a data framework for LLM applications. It helps connect custom data sources with LLMs.') print("Ingesting 'example.txt' and asking a question via llamaindex-cli...") # 2. Ingest a file and ask a question try: result = subprocess.run( ['llamaindex-cli', 'rag', '--files', 'example.txt', '--question', 'What is LlamaIndex?'], capture_output=True, text=True, check=True ) print("--- CLI Output ---") print(result.stdout) if result.stderr: print("--- CLI Errors (if any) ---") print(result.stderr) except FileNotFoundError: print("Error: 'llamaindex-cli' command not found. Ensure the package is installed and in your PATH.") except subprocess.CalledProcessError as e: print(f"Error running command: {e}") print(f"Stdout: {e.stdout}") print(f"Stderr: {e.stderr}") # Clean up the dummy file os.remove('example.txt')