run-llama/notebookllama

AI Summary: The user is encountering an API key issue while setting up the NotebookLlaMa application. Despite setting environment variables for API keys (OPENAI_API_KEY, LLAMACLOUD_API_KEY, ELEVENLABS_API_KEY), the `create_llama_extract_agent.py` script throws a 'ValueError: The API key is required.' error. Subsequent attempts to run `create_llama_cloud_index.py` also fail with authentication errors. The task involves troubleshooting the API key configuration, verifying the keys' validity and functionality, and ensuring correct environment variable usage within the Python scripts.

AI Summary: Optimize the file upload process in the NotebookLlaMa application to eliminate redundant parsing operations. This involves investigating the LlamaCloud Pipeline API to either retrieve parsed documents directly from the pipeline, bypass the pipeline for direct processing, or configure the pipeline to automatically run the Q&A extractor. The goal is to reduce processing time, API usage, and costs while improving reliability.

AI Summary: The task is to debug a `llama-index-workflows` based application, NotebookLlaMa, which is encountering a `TimeoutError` during file processing. The error originates from the `extract_file_data` step, indicating a problem with communication between the application and a backend service (likely the MCP server). Troubleshooting involves checking API keys, verifying backend services (Postgres, Jaeger), ensuring correct dependency installation and virtual environment activation, and potentially investigating network connectivity or server-side issues within the MCP server or LlamaCloud.