Connect 302.AI to Supabase

Enable your 302.AI model to invoke user-defined functions. Useful for conditional logic, workflow orchestration, and tool invocation within conversations. See documentation

Send a message to the 302.AI Chat API. Ideal for dynamic conversations, contextual assistance, and creative generation. See documentation

Classify input items into predefined categories using 302.AI models. Perfect for tagging, segmentation, and automated organization. See documentation

Generate vector embeddings from text using the 302.AI Embeddings API. Useful for semantic search, clustering, and vector store indexing. See documentation

Retrieves available options for the Chat Completion Model ID field.

Retrieves available options for the Embeddings Model ID field.

Retrieves available options for the Model ID field.

Summarize long-form text into concise, readable output using the 302.AI Chat API. Great for reports, content digestion, and executive briefs. See documentation

Inserts new rows into a database. See the documentation

Counts rows in a database table, with optional filtering conditions. See the docs here

Deletes row(s) in a database. See the docs here

Inserts a new row into a database. See the docs here

Call a Postgres function in a database. See the docs here

Selects row(s) in a database. See the docs here

Updates row(s) in a database. See the docs here

Updates a row in a database or inserts new row if not found. See the docs here