Browse Tools

Remove old or low-importance messages from SQLite database. Deletes messages based on age, importance score, or total count criteria. Returns deleted message IDs and count.

Update last_accessed timestamp and increment access_count for message records in SQLite database

Retrieve messages from the PA2 SQLite database. Queries the messages table and returns conversation history filtered by conversation_id, role, or limit.

Save a message to the PA2 SQLite database with conversation tracking. Creates database and schema if needed, assigns unique message ID, and stores message with metadata.

Delete documents from a ChromaDB vector collection by their IDs

Add documents to a ChromaDB vector collection with embeddings. Reads JSON input with id, content, and metadata fields, uses pa-embed tool to obtain embeddings, and stores the document in the specified ChromaDB collection.

Performs semantic search against a ChromaDB vector collection. Parses query from JSON input, queries the collection using embeddings, and returns matching results with similarity distances.

Embed text into vector representations for semantic search using Ollama's embedding models. Outputs embedding vector with metadata.

Analyze CSV with sampled data for large files

Generate SQL from natural language

Generate SQL with safety checks

Summarize and analyze log files