How to Serve a Typed AI Endpoint with Pixeltable

Pixeltable 0.7.11 or later can expose table operations as HTTP services by defining tables, computed columns, and routes in a single Python application, with support for inserts, computations, updates, queries, deletes, media files, and asynchronous jobs. Developers can initialize schemas and serve services locally through the CLI, inspect OpenAPI documentation and schemas, then deploy the same application to Pixeltable Cloud by updating the database, schema, and service. Hosted services require Pixeltable API keys, which can be restricted to individual applications, environments, and services, while provider credentials are managed separately as secrets. Because each service publishes an OpenAPI schema, TypeScript types and clients can be generated for use in server-side Next.js code, helping detect route mismatches and keep keys out of browsers. The workflow also covers handling file uploads and responses, polling background jobs, interpreting gateway and runtime errors, retrying only explicitly retryable failures, managing expiring media URLs, viewing logs, and applying updates after code, schema, or dependency changes.

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