Access and filter real-time logs from LlamaFarm services for debugging and system monitoring.
The LlamaFarm Logs skill provides a centralized interface for viewing, filtering, and analyzing logs across all LlamaFarm components, including the server, RAG worker, and Celery tasks. It simplifies debugging by highlighting error patterns, allowing real-time streaming with follow mode, and offering granular filters by service type or time range. This tool is essential for developers needing to diagnose ingestion failures, model interaction issues, or service connectivity problems within the LlamaFarm ecosystem by providing structured analysis and suggested fixes for common log patterns.
Key Features
01Automated error analysis with context-aware troubleshooting suggestions
020 GitHub stars
03Advanced filtering by service name, error level, and custom time ranges
04Multi-service log aggregation for Server, RAG, and Celery components
05Real-time log streaming with follow mode support
06Formatted output highlighting timestamps, log levels, and tracebacks
Use Cases
01Debugging failed document ingestions or parsing errors in the RAG pipeline
02Identifying system-level issues like Ollama connection failures or vector database timeouts
03Monitoring real-time API requests and model interaction performance during development
