Release Notes

This release includes general security and stability improvements.

Connecting a remote MCP server that uses OAuth no longer requires you to paste in authorization and token endpoints or a client ID and secret. Redpanda reads the server’s OAuth configuration from its URL and registers a client automatically through Dynamic Client Registration (DCR).

The ServiceNow MCP server can now search CMDB configuration items, so agents can look up servers, laptops, applications, and services.

The setup guides for connecting an AI client now cover Claude, ChatGPT, Zed, and the Codex CLI, with corrected steps.

The copy-paste code examples for connecting to MCP servers and LLM providers now use the latest SDK versions across Node, Python, Go, Java, and curl.

List rows are now fully clickable to open the detail view, instead of only the name link.

When something fails, the interface now offers clear next steps such as retry, reload, and copying the error details.

Connecting a remote MCP server that signs you in with your own account (user-delegated OAuth) now works. Sign-in no longer fails before completing.

Every LLM provider now has a Models tab where you can browse the models it serves, turn individual models on or off, and filter them by capability or status.

Each provider now has an Activity tab that shows the agents, requests, and conversations routed through it over a time range you choose.

The providers list shows each provider’s models with small trend charts for recent requests and spend, and you can filter the list to providers that serve a specific model.

Each provider’s Settings tab shows which Secret Store entries authenticate it, with a shortcut to manage those keys.

The Connect setup guide lets you pick your coding agent and operating system, and gives copy-paste rpk ai steps tailored to your environment.

Running a tool in the server inspector now shows clear, actionable validation errors for invalid inputs instead of a generic failure.

Connecting an AI client to a Code Mode MCP server over OAuth now succeeds; Code Mode adds tools that let agents run sandboxed code against the server. Clients such as Claude Code and the MCP Inspector now register automatically through Dynamic Client Registration (DCR) instead of failing with a missing-scope error.

Using the browser Back button after starting a connection no longer leaves the Connect button stuck; the connection state resets cleanly.

A brand-new environment no longer shows a misleading all-clear health status before you have set anything up.

OpenAI providers now offer the GPT-5.6 model family: GPT-5.6 Luna, GPT-5.6 Terra, and GPT-5.6 Sol.

Each model now has a detail page showing its overview, pricing, and capabilities.

Model usage now shows a clear error when a usage query fails, instead of misleading zero values.

Cost and usage reports now count cached tokens accurately even when a provider returns incomplete usage data.

The inspector shows upstream HTML and XML errors as readable text instead of raw markup.

The Connect and Reconnect buttons now show a loading state while the provider’s consent screen opens.

You can now use the Google Gemma 4 model family with your Amazon Bedrock providers, in three sizes from largest to smallest: Gemma 4 31B, Gemma 4 26B-A4B, and Gemma 4 E2B.

Manage OAuth providers and MCP client access in one tabbed Integrations setup area, replacing the separate pages.

The My Connections page groups your account connections by status and lets you connect or reconnect without leaving the page.

This release includes general security and stability improvements.

Connections that renew automatically, for example GitHub, no longer show as expired shortly after connecting. You are prompted to reconnect only when a connection can no longer renew itself.

Amazon Bedrock providers now offer two new models: Mistral Large 3 and Amazon Nova 2 Lite.

The Amazon Bedrock MCP server can now generate embeddings with Cohere Embed v4.

Creating or updating an agent now rejects an invalid Bedrock model name immediately, instead of accepting it and failing later.

When an agent task is still running after five minutes, the inspector stops the live view and points you to the Activity page to follow it; the task keeps running.

This release includes general security and stability improvements.

A reply that was cut off by the model’s token limit no longer causes the next message in the conversation to fail.

Tag your agents and break down cost and usage by tag: group the report by a tag key, filter by tag values, and see untagged traffic in its own bucket.

This release includes general security and stability improvements.

Download your full cost and usage report as a CSV, broken down by provider, model, user, or agent and by hour, day, or month.

The home dashboard is rebuilt around an overall health status, an hourly chart of token use and spend, and your top spending agents and users at a glance.

The Connect tab gives you ready-to-run rpk ai setup steps and client code snippets, including running Claude Code against a Bedrock provider without local AWS credentials.

When a request fails, a clearer error page lets you retry, open full error details, and copy the failing request as a curl command to reproduce or report it.

This release includes general security and stability improvements.

In the agent editor, the model picker now stays anchored to its field instead of jumping to the side when you open it.

After a new release is deployed, the app now reloads cleanly instead of getting stuck on a stale page.

Text across the interface is now larger and easier to read.

This release includes general security and stability improvements.

Collapsible and accordion panels now animate smoothly.

Launch Claude Code against one of your Amazon Bedrock LLM providers with rpk ai run claude -L <provider>; the gateway authenticates to AWS for you, so your machine needs no AWS credentials.

Give each subagent its own model and LLM provider in the agent editor.

Updating an agent no longer interrupts it: the new version starts and takes over before the old one stops.

Each model now reports its max_input_tokens and max_output_tokens limits through the API.

Filters in the metric detail panel on provider and model pages now apply to the chart, and the panel no longer hides its filter menus or covers the sidebar.

The spend total in the metric detail panel was inflated when grouping by cost type; only the display was wrong, recorded usage was unaffected.

In period comparisons grouped by model or user, each line now compares against its own numbers from the previous period, not another line’s.

MCP clients such as Claude Code, Cursor, and ChatGPT can now register themselves through OAuth Dynamic Client Registration (DCR), instead of needing an OAuth client created by hand.

Creating policies is now faster, since resource options load as you need them instead of all at once.

Claude Code users can now set up managed MCP servers with a single command, or use manual configuration from a separate tab.

Claude Sonnet 5 is now available to select on the Anthropic and Bedrock providers.

A completed tool call in the agent inspector now switches to Completed the moment it finishes, instead of showing Working until the next step.

Signing in with rpk ai auth login now clears the expired-token errors that kept rpk ai commands failing even after a successful login.

When an agent produces a chart, the agent inspector now displays it: switch between the chart, its data, and its definition, and zoom in or download it.

Capture a failed request for support and get a reference ID to quote.

Failed requests now show the full error message and type, with expandable technical details, instead of a generic internal error.

The MCP servers, LLM providers, OAuth providers, OAuth clients, and Secrets Store lists now have consistent search, filtering, and multi-row selection.

The Bedrock provider rejected valid model IDs whose version contains a dot, in all regions; these now route correctly.

Connect to Sentry through a new managed MCP server.

Set your own per-model pricing on a provider, so usage and cost reflect the rates you actually pay.

Apply or diff your LLM providers, MCP servers, and OAuth providers from config files, now against an Agentic Data Plane environment.

Filter the server list by type and status.

Filter providers and clients by status and how they were created.

Export charts to CSV and download a full usage report.

The environment switcher now shows each environment’s region, so you don’t make changes in the wrong one.

Fixed hangs when switching environments, and the app now recovers on its own after a new version ships instead of showing errors.

Fixed filters showing wrong results, and lists now refresh immediately after you add or edit an item.