Unity Gateway supports Amazon Bedrock Mantle
Update4 days agoUnverifiedAdded Oct 13, 2026
You can now access Amazon Bedrock Mantle models through Unity Gateway model provider services, with Unity Catalog permissions, rate limits, budgets, and inference tables. See Model providers external to Databricks .
Topics: Governance, Security, Observability
More Agent Bricks and Mosaic AI releases
Every Agent Bricks and Mosaic AI releaseUse request tags in Unity Gateway service policies (Beta)
Custom service policies in Unity Gateway can now check caller-supplied request tags, such as requiring a tag before a model request or MCP tool call proceeds. See Request tags .
Use OpenJev as the evaluator for LLM-as-a-judge service policies (Beta)
You can now select OpenJev (Qwen3.5 4B) as the evaluator model service of a custom LLM-as-a-judge service policy. OpenJev classifies content without generating output tokens, so it typically responds faster than a chat evaluator. See Use OpenJev as the evaluator .
Anthropic Claude Haiku 5.5 is now available on Unity Gateway
Anthropic Claude Haiku 5.5 is now available on Unity Gateway. You can access this model using Foundation Model APIs . Customers are responsible for ensuring their compliance with applicable terms .
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 .
Unity Gateway Skills API and developer tools are available in Beta
The Unity Gateway Skills REST API is now available in Beta , with create, read, update, list, delete, and finalize support across Databricks developer tools: Databricks CLI Python SDK Go SDK Go Modular SDK Java SDK JavaScript SDK See the Skills API and SDK reference .
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 .
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 .
OpenJev (Qwen3.5 4B) is now available on Unity Gateway
OpenJev (Qwen3.5 4B) is available as a pay-per-token model service. Use the TypeSafe System One API to evaluate yes or no, choice, and scoring questions and get structured answers and probabilities. See model availability by region . Customers are responsible for ensuring their compliance with applicable model terms .
Also shipped on Oct 9, 2026
Databricks in October 2026Agentic Marketplace Discovery (Public preview)
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All AI Gateway models with prepaid credits, backend features with your coding agent, and new ways to send feedback release - Oct 09, 2026
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