Monitors and reports the operational status of LlamaFarm components including servers, workers, and databases.
Provides a comprehensive diagnostic overview of the LlamaFarm environment, allowing developers to verify service availability, project configurations, and model connectivity directly within Claude Code. It automates health checks for the RAG worker, Celery queues, and vector databases, offering actionable troubleshooting advice and specific terminal commands when components are degraded or offline to ensure a stable AI development workflow.
Key Features
01Comprehensive component health reporting for servers, RAG workers, and databases
02Automated troubleshooting with specific fix recommendations for failed services
03Real-time project and model configuration auditing
040 GitHub stars
05Detailed RAG system connectivity and document index verification
06JSON output support for integration with CI/CD pipelines or external scripting
Use Cases
01Monitoring the status of Celery workers and background task queues during development
02Debugging connectivity issues between Claude Code and local LlamaFarm model runtimes
03Verifying system readiness before starting heavy RAG ingestion or fine-tuning tasks
