Background runs and additional supplementary tools for agents in the Snowflake-managed MCP server
Snowflake added a background boolean parameter to CORTEX_AGENT_RUN and CODING_AGENT tools in its managed MCP server to enable non-blocking, pollable agent executions.
Also shipped Nov 4, 2026Snowflake in November 2026 →
[Launched] Generally Available: Azure Database for PostgreSQL stable REST API version 2026-10-01
The Azure Database for PostgreSQL Flexible Server REST API version 2026-10-01 is now generally available, introducing new capabilities for maintenance, immutable backups, and encryption.
Analytics API (Public preview): report on the health of the data behind your agents, from your AI tool
The Monte Carlo Analytics API is now in public preview, allowing users to query data health, alert status, and cost metrics directly from AI tools via the Monte Carlo MCP server.
Twice the included embedding tokens through December 31
Pinecone is doubling the included monthly embedding tokens for Starter and Builder organizations through December 31, 2026.
Gemini Enterprise: Switch between teams in the mobile app
The Gemini Enterprise mobile app now supports switching between multiple teams without re-authentication, and allows renaming or removing teams from the list.
Compare AI agent changes with Online Experiments in Agent Observability
Datadog Online Experiments allows engineers to test AI agent changes against production traffic. It enables comparison of response quality, cost, latency, and error rates.
Postmortems End of Life Completed
The Postmortems feature has been retired in favor of the upgraded Post-Incident Reviews in the PagerDuty web UI.
More from Snowflake Cortex AIEvery Snowflake Cortex AI release →
Cortex AI Gateway inference, observability, and cost management (General availability)
Inference, observability, and cost management for Cortex AI Gateway are now generally available. The gateway gives AI clients in your organization one governed endpoint to reach models, records a trace of every request, and attributes spend to the users who made it.
AI_EXTRACT updates
AI_EXTRACT now delivers a 12.8% relative improvement in average extraction accuracy compared with the previous version in our evaluations. Extract fields, lists, and tables more accurately from complex documents, including forms, handwritten content, dense tables, and charts.
Level of detail (LOD) expressions in semantic views (Preview)
Level of detail (LOD) expressions are now in preview for semantic views. An LOD expression calculates a value at a grain that's different from the query grain. You can use LOD expressions to:
Cortex Training (Preview)
Cortex Training is now available in preview, allowing users to customize open-weight LLMs using a serverless service within Snowflake.
Cortex Agents Coding Agent thinking effort, system instructions, and stage mounts
The Cortex Agents Coding Agent agent:run API now supports three additional public controls when using the code_toolset_all tool, providing more granular configuration for coding tasks.
Cortex AI usage in Native App usage history
Developers can now track Cortex AI credit usage, including agent tokens and search embeddings, attributed to Snowflake Native Apps using the APPLICATION_DAILY_USAGE_HISTORY view.
AI_PARSE_DOCUMENT introduces AGENTIC mode for intelligent document processing (Public Preview)
Snowflake Cortex AI_PARSE_DOCUMENT now includes an AGENTIC mode in public preview. This feature allows users to extract information from complex documents, including charts and diagrams, using a single SQL call.
OpenAI GPT-5.6 Luna, GPT-5.6 Terra, and GPT-6 Luna in AI Functions (Preview)
The following OpenAI models are now in public preview in AI Functions: