Data and AI releases

548 this month · 176 companies

Agent Bricks and Mosaic AI Release notes from Databricks

88 releases · 7 this month

Official notes RSS

Agent memory pipelines are in Beta

Agent memory pipelines are in Beta . A memory pipeline connects a session store to a memory store. Each run uses an LLM to distill durable facts, preferences, and decisions from stored conversations into memory entries that your agent recalls in later conversations. You can run a pipeline on demand or about every 24 hours. See Agent memory pipelines .

Beta
3 releases →

Enforce partner guardrails with external service policies (Beta)

You can now enforce a third-party guardrail on Unity Gateway traffic. An external service policy sends request and response content to your guardrail vendor and blocks the call when the vendor denies it, with no changes to your applications. See Enforce a partner guardrail with an external service policy .

Agent Bricks documentation for code-first agent development

The Agent Bricks documentation now centers on building, deploying, and running custom agents in code. See Develop agents on Databricks : Agent compute stack : New pages describe how a deployed agent's framework or harness, agent server, and agent runtime fit together. See Deploy agents on Databricks .

Update
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Google Gemini 2.5 Flash is retired

Google Gemini 2.5 Flash is no longer available. The recommended replacement models are Gemini 3.1 Pro or Gemini 3.5 Flash. See Deprecated and retired models for migration guidance.

Deprecation
3 releases →

Agent Bricks CLI is in Beta

The Agent Bricks CLI ( databricks-agentbricks ) is a command-line tool for building and deploying custom code agents on Databricks. Scaffold a project from a bundled framework template, run it locally, and deploy it to the Databricks agent runtime, with managed memory, sessions, tools, and MLflow tracing wired up from one authenticated command.

Beta
2 releases →

Configure provider discounts for external model spend

Unity Gateway estimates external model spend using each provider's published list prices. If your organization has negotiated different pricing with a provider, you can now configure a price multiplier on the model provider service so that spend estimates reflect those rates.

Pricing
Source ↗

Managed agent memory and sessions are in Beta

Managed agent memory and managed agent sessions are in Beta . Databricks now provides two fully managed, Lakebase -backed stores for agent state, both usable from agents built on any framework: Managed agent memory gives agents durable, long-term memory that persists across conversations, with semantic search. See Managed agent memory .

Beta
2 releases →

DeepSeek V4.1 Flash is now available on Unity Gateway

DeepSeek V4.1 Flash is now available on Unity Gateway with text and image inputs. See supported regions . You can access this model using Foundation Model APIs . Customers are responsible for ensuring their compliance with applicable terms .

Update
Source ↗

OpenAI GPT-6 Astra is now available on Unity Gateway

OpenAI GPT-6 Astra is now available on Unity Gateway for enterprise reasoning, structured document processing, coding, agentic search, multimodal inputs, and long-context workloads. You can access this model using Foundation Model APIs pay-per-token . Customers are responsible for ensuring their compliance with applicable terms .

Update
Source ↗

Monitor and cap external provider costs

Unity Gateway can now track and cap spend on external model providers, such as Amazon Bedrock and Azure AI Foundry, not just Databricks-provided models. If your organization already has capacity commitments directly with a provider, Unity Gateway becomes the single point to track that usage and enforce spend limits across teams and use cases.

Beta
Source ↗

Zhipu AI GLM 5.3 Flash is now available on Unity Gateway

Zhipu AI GLM 5.3 Flash is now available on Unity Gateway for multimodal reasoning, coding, and agentic workloads. Access it through the same governed API as other models, with centralized permissions, guardrails, spend controls, and observability, and switch models without changing application code.

Update
2 releases →

Unity Gateway now supports Provisioned Throughput

Govern Provisioned Throughput (PT) traffic through Unity Gateway, bringing PT models under the same access controls, usage tracking, rate limits, payload logging, and guardrails as other model traffic. See AI governance with Unity Gateway .

Update
Source ↗

DeepSeek V4 Pro (0813) is now available on Unity Gateway

DeepSeek V4 Pro (0813) is now available on Unity Gateway for complex reasoning and agentic coding workflows. Access it through the same governed API as other models, with centralized permissions, guardrails, spend controls, and observability, and switch models without changing application code.

Update
Source ↗

Custom trace views in the MLflow trace explorer are in Beta

You can now build custom trace views in the Databricks MLflow trace explorer. Describe the layout you want in plain language, and Genie generates a reusable view that surfaces the trace fields, metrics, and feedback controls most relevant to your review workflow. See Build a custom trace view .

Beta
Source ↗

ABAC GRANT policies now cover Unity Gateway resource types (Beta)

Attribute-based access control (ABAC) GRANT policies dynamically grant Unity Catalog privileges to securables whose governed tags match a condition. They now support model services, model provider services, Model Context Protocol (MCP) services, and agent services, which are the resource types Unity Gateway governs.

Beta
Source ↗

DeepSeek V4 Flash (0731) is now available on Unity Gateway

DeepSeek V4 Flash (0731) is now available on Unity Gateway for fast, cost-efficient reasoning, coding, and agentic tool use. Access it through the same governed API as other models, with centralized permissions, guardrails, spend controls, and observability, and switch models without changing application code.

Update
Source ↗

Unity Gateway is now generally available

Unity Gateway is now generally available. Unity Gateway is the Databricks governance solution for enterprise AI, part of Unity Catalog. With Unity Gateway you can: Control which AI services teams can use. Route and manage AI traffic across providers. Govern MCP servers to control access and costs. Monitor usage, cost, access, and lineage from one place.

GA
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Upcoming general availability of Unity Gateway

Unity Gateway, the Databricks governance solution for enterprise AI, is scheduled for general availability soon. Built on Unity Catalog, Unity Gateway extends governance to the runtime interactions between models, agents, MCP servers, and tools.

GA
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Priority pay-per-token for Foundation Model APIs

Priority pay-per-token, also referred to as priority mode, for Foundation Model APIs pay-per-token is generally available for partner models and in preview for open source models. Priority mode is for latency-sensitive, real-time applications that need more consistent availability under load.

GA
Source ↗

Connect and govern any external model provider

Connect and govern any external model provider (such as OpenAI, Anthropic, Amazon Bedrock, and newly released models like Meta's Muse Spark 1.1) through Unity Gateway. Register a provider once as a governed Unity Catalog securable, and every team can query it through Unity Gateway with full governance and observability.

Update
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Databricks-provided MCP Services will GA soon

Databricks-provided MCP Services for SaaS applications such as Slack, GitHub, Atlassian, and Google Drive will soon be generally available, with both read and write operations enabled by default. Admins and users can disable MCP Services and individual tools in Unity Gateway . See Connect agents to tools with MCP Services .

GA
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Protobuf tensor input for custom model serving endpoints (Public Preview)

For custom model serving endpoints with a tensor-based input signature, you can now send the request body as a serialized KServe v2 ModelInferRequest with Content-Type: application/x-protobuf , instead of JSON. This feature is in Public Preview and is only available on endpoints deployed after July 9, 2026. See Protobuf tensor input .

Preview
2 releases →

Anthropic Claude Sonnet 5 now available as a Databricks-hosted model

Model Serving now supports Anthropic Claude Sonnet 5 as a Databricks-hosted model. Designed for coding, agentic workflows, and professional work at scale, Claude Sonnet 5 delivers near-Opus-level intelligence with Sonnet's cost efficiency and speed. You can access this model using Foundation Model APIs .

Update
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About and activity

Agents, model serving, the AI Gateway, vector search and MLflow.

Other Databricks products: AI/BI and Genie, Databricks Apps, Databricks Data Intelligence Platform, Databricks SQL, Delta Lake, Lakebase, Lakeflow, MLflow, Unity Catalog

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Official release-notes pages 14
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AI/BI (dashboards, Genie)
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Databricks CLI releases
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Databricks Connect
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Databricks Runtime
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Declarative Automation Bundles
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Feature Store
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Python SDK releases
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Serverless compute
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Terraform provider releases
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Unity AI Gateway
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What's coming
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