Introducing Convex AI Gateway: get to the model call
Convex released Convex AI Gateway for paid plans, enabling developers to query hundreds of AI models directly from Convex apps without setting up separate model provider accounts or API keys.
Also shipped Sep 21, 2026Convex in September 2026 →
BigQuery Studio query results pane shows recent run history
The Query results pane now shows a short history of recent runs for a query, including multi-statement queries, without switching to the Job history tab. It is generally available.
The query history system table is now generally available
The system.query.history system table is now generally available. Use it to access account-wide records for queries run on SQL warehouses or serverless compute, including execution status, duration metrics, and query source. See Query history system table reference .
Cortex AI Function Evaluation for measuring quality (Public Preview)
Snowflake Cortex AI Function Evaluation is now available in public preview, enabling customers to measure the output quality, cost, and token usage of custom AI Functions and Cortex AI calls against labeled datasets.
Cortex AI Function Optimization for more efficient AI implementations (Public Preview)
Snowflake Cortex AI Function Optimization is now available in public preview, enabling customers to automatically search across prompts and models for improved implementations of custom AI Functions.
Cortex Agents Compact API (Preview)
The Cortex Agents Compact API is now available in preview. Use the agent:compact endpoint to summarize a conversation and pass the compact representation to subsequent agent:run requests. Compacting conversation history reduces token consumption and helps conversations stay within the model context window.
You can now use the AlloyDB Columnar Engine as a read-optimized, in-memory cache for HNSW vector indexes
You can now use the AlloyDB Columnar Engine as a read-optimized, in-memory cache for HNSW vector indexes. This feature is generally available ( GA ). It accelerates vector search performance and increases queries per second (QPS) for vector workloads. For more information, see Accelerate queries with the Columnar Engine .
More from ConvexEvery Convex release →
Convex for Enterprise (and updates to everything else)
Convex has launched an enterprise plan featuring dedicated infrastructure, SLAs, SSO, and audit logging. The update also includes new self-serve plan configurations and improved billing for actions.
Just landed in Europe
Convex has launched EU-based hosting in the aws-eu-west-1 region, available on all plans.
Why ctx.db is changing, and what you should do about it
Convex version 1.31.0 updates database functions (get, patch, replace, delete) to require the table name as the first argument, improving API safety and ergonomics.
Product Updates - Volume 25
Convex updates include free preview deployments, a 'Copy as Markdown' feature in documentation, CLI confirmation for large index deletions, and webhook log stream security.
Introducing Components Authoring
The components authoring guide is now available, allowing developers to build and publish their own Convex components. Three new components were also released.
Convex Vercel Marketplace Integration
Convex is now available for deployment via the Vercel Marketplace, enabling one-click installation for Vercel customers.
Product Updates - Volume 24
Convex added new payment components, batching for Workpool and Aggregate components, text search index filtering in the dashboard, and enhanced log metadata.