Release 2026.10
9 min read
This page summarizes the 2026.10 release. Click the links below to navigate to the relevant sections.
Chat Plaform | RAG | Agentic Table | UniqueAI | Language Model | Upcoming Model Retirement |
📌 Release Overview
2026.10
Unique hosted:
Self hosted: TBD
Chat Platform
💥 Breaking changes
We've been listening to your feedback on deployment stability, and our upcoming releases reflect that commitment.
To deliver meaningful improvements in reliability and resilience, some of these changes may require updates to your service environment. We'll communicate what's needed well in advance so your teams can plan accordingly.
Refer to the underlying Infrastructure Changes to learn which values are to adapted how.
🚀 What's New (Business/End-User Focus)
Admin EXPERIMENTAL Code Execution Tool in Space Admin – Space admins can now enable code execution by toggling the tool on in Space Admin settings.
The code execution tool will be automatically disabled if an admin selects an incompatible model. Code execution currently only supports models in the OpenAI responses API via Azure or LiteLLM. Click here to view the complete list.
Required Feature Flags
For code execution to be available after this release, the following three feature flags must be enabled:FEATURE_FLAG_USE_OPENAI_V1_13819, FEATURE_FLAG_ENABLE_CODE_EXECUTION_UN_17498, SOURCE_AVAILABLE_TOOLS_REMOTELY
The Code Execution tool can easily be toggled on and off
The code execution tool presents with an error when an invalid model is selected
Admin Add NPS Rating to Analytics: Space Admins can now download the Net Promoter Score rating from the chat analytics page.
🎨 UI / UX Refresh of Chat Interface
This release advances our UI/UX modernization initiative with a refreshed chat interface focused on clarity, consistency, and ease of use. The new chat UI is currently in Beta state, opt-in and disabled by default. It can be enabled upon request via feature flag for selected users or environments (flag description in Infrastructure notes)
User Beta Chat Welcome View:
We have introduced a warmer, more inviting entry: “How can I help you?” with a short description.
The large, always-on upload area is removed; upload is available via drag-and-drop into the chat box or via a less prominent control, so the main focus is on asking a question.
This new UI is not enabled by default (but can be enabled via the corresponding feature flag mentioned in the Infrastructure Changes) as it part of the UI refresh we are working on.
User Beta Buttons inside the chat box: Chat input actions (upload, voice, tools, send) are moved inside the chat input area for a cleaner, more consistent look. Upload and voice are de‑emphasized so they’re not confused with the primary send action, while still easy to find when needed.
User BETa Simpler prompt menu: My Prompts and Suggested Prompts are in a compact bar below the input with clear labels, so you can open and pick prompts faster.
User BETA Easier tool selection: Tool selection is available via a “+” menu, with grouped tools (MCP tools) in dropdown groups for easier separation of concerns.
🎨 Requesting Approval in Chat (Elicitation)
The new elicitation behavior (in-chat approval and query review) is experimental and off by default. “Query elicitation for Web Search” can be enabled for selected organizations or environments through advanced configurations in Space Admin. Full documentation here
User EXPERIMENTAL In-chat approval form: Tools and assistants can now ask for your approval or input in the middle of a conversation. When they do, the form appears in the same message thread with a clear “Requesting Approval” label. You can Confirm or Cancel, so you stay in control before the tool continues. Your response is sent back to the tool so it only proceeds with what you approved.
User EXPERIMENTAL Query review for Web Search: When using Web Search with query elicitation enabled, you can review and edit the search queries before they run. A form in the chat shows the proposed queries; you can add, remove, or change them, then confirm or cancel. This gives you a chance to correct or refine searches before they execute.
User EXPERIMENTAL Consistent form experience: The approval form supports different field types (standard MCP Elicitation schema) and validation, so behavior is consistent whether the request comes from an MCP tool or an internal feature like Web Search query review.
Chat Messages UI Refresh
This release introduces a refreshed way user messages and assistant answers are displayed in the chat thread. The new answer formatting is in Experimental state, opt-in and disabled by default. It can be enabled on request via feature flag for selected users or environments.
User EXPERIMENTAL Cleaner answer layout: User messages use a bubble style on the right; assistant messages retain a flat style on the left for a clear question-and-answer distinction. Assistant message avatars are no longer shown, making threads easier to read, especially on mobile.
User EXPERIMENTAL Sources and content with the answer: Files and sources linked to an answer are shown as clickable badges directly under that answer’s text instead of as separate blocks between messages.
User EXPERIMENTAL Unified message actions: Copy, feedback (thumbs up/down), references, and debug sit in a single action row for assistant messages. References and debug open in a side panel so you can keep reading the thread while viewing references or debug info. On user messages, actions appear on hover to keep the default view minimal.
User EXPERIMENTAL Tables with copy: Tables in assistant messages use an updated design with a copy button in the lower-right of the table (visible on hover on desktop, always visible on mobile) so you can copy table data quickly.
User EXPERIMENTAL Updated suggested follow-up questions: Follow-up questions use a clearer design with a list-style layout so suggested next questions are easier to scan and tap.
User EXPERIMENTAL Floating hallucination indicator: The previous Answer Assessment button is removed. If no hallucination is detected, nothing is shown. When the model flags potential inaccuracies (moderate or severe hallucination), a floating button appears in the lower right (yellow for moderate, red for severe). Hover over the button to view the reason for the hallucination. It stays visible while you scroll so you can still see and act on the warning.
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🔧 Improvements
Admin Whisper OX API key auth: The speech service now supports optional API key authentication for Whisper OX (self-hosted) endpoints. Configure WHISPER_OX_API_KEY and WHISPER_OX_API_KEY_HEADER to secure the connection. Backward compatible — no auth when unset. See Whisper Transcription Service.
🐞 Bug Fixes
User Fixed References and Debug buttons showing incorrect active state: Resolved an issue where the References and Debug buttons appeared in a filled/active style when the side panel was open. They now consistently render in outline style, matching the Steps button behavior.
User Fixed formatting for code-blocks in LLM Response: Issue with code-blocks getting mangled now fixed. For example, match = re.search(r'$(\d+)$', filename) (invalid) becomes match = re.search(r'\((\d+)\)', filename) (valid)
RAG
🚀 What's New (Business/End-User Focus)
User Agentic Metadata Extractor
What's new
More reliable metadata extraction: Extraction jobs now runs more reliably. If a job fails, it automatically retries the metadata extraction from the file, so you'll see fewer files stuck mid-processing.
Re-extract metadata on existing files: You can now trigger metadata extraction on files that are already in a folder, directly from the folder's configuration settings. Two new checkboxes give you control over the scope:
"Extract metadata on existing files in this folder" — re-runs extraction on all files currently in the folder when you save.
"Also extract on files in subfolders" — extends the re-run to nested subfolders as well.
This is useful when you've updated your metadata schema or configuration and want to apply it to files that were ingested before the change.
Agentic Table
🚀 What's New (Business/End-User Focus)
User Sheet sharing and access permissions: Agentic Table sheets can now be shared with members of the space using two permission levels: Manage and Edit. Manage allows changing the sheet name and managing who has access; Edit allows working with the sheet (e.g. adding sources, running the agent, editing content) but not changing the name or managing permissions. This supports collaboration within the space while keeping control over access and naming.
User Remove sources from the sheet: Agentic Table sheets now support removing files from the source list. A removed file is excluded from future agent context, while existing references and links in the sheet stay intact. This allows the source set to be corrected or narrowed without affecting prior answers or citations.
🔧 Improvements
User Groups in assignee column: The assignee column now shows both individual users and groups that have access; when an owner shares with a group, all members and the group itself appear in the assignee list.
User Processing after adding sources to an agentic table: When sources are added to an agentic table, processing is no longer started automatically, which avoids processing large sheets unintentionally and gives users more control over when and what to reprocess. Re-run is available to process all rows or a single row after sources are added.
Admin Use RfpAgent instead of Due Diligence when creating Agentic Table in Space UI: Creating a new Agentic Table from the Space UI now uses the RfpAgent module instead of the deprecated Due Diligence module, so users always work with the current Agentic Table implementation.
🐞 Bug Fixes
User Fixed default knowledge scope and added "Select All" in sheet creation: Fixed the default behaviour so that when no knowledge is imported during sheet creation, no knowledge is searched (previously the whole knowledge base was searched). A "Select All" checkbox was added in the sheet creation flow when selecting knowledge, so users can still easily select all knowledge when intended.
Unique AI
🚀 What's New (Business/End-User Focus)
User EXPERIMENTAL Customize end-user space - A user can create, edit and delete multiple end user spaces. End-user spaces are customized spaces for a particular assistants(The instructions from the end user doesn’t alienate the assistant instructions, but appends to the assistant instruction). See here.
Admin EXPERIMENTAL Enable End-User Spaces: An Admin can now enable end user spaces on an assistant, which allows a user to create customized spaces. See here for enabling the end user space on space 2.0, and here for enabling on Custom spaces.
User Sub-Agents Now Inherit Uploaded Files from Orchestrator: Sub-agents now automatically have access to files uploaded to the main agent (or orchestrator). Any documents provided at the orchestrator level are shared with downstream sub-agents, ensuring consistent context and seamless task execution across the agent hierarchy.
🔧 Improvements
User Enable Sub-Agents to Access Files from Main Agent Chat: Sub-agents can now access files uploaded in the main agent chat. This improves usability, and ensures consistent file availability across parent and sub-agent interactions.
User Support Rendering of Base64-Encoded Images from MCP Tool Responses: Unique AI now supports rendering base64-encoded images returned by MCP Server tool calls, fully aligned with the MCP Image Content specification. The base64 data is automatically converted (e.g., to PNG format) and can be directly accessed and displayed within agent responses.
🐞 Bug Fixes
User Fix Chunk Relevance Sorter: Fixed an issue where the chunk relevance sort was not being applied correctly, leading to degraded search and response quality. This fix restores proper chunk ranking behavior across Unique AI and other dependent modules, including the questionnaire module.
Language Model
New Model Deployments:
Anthropic
Admin Claude Sonnet 4.6 is available through LiteLLM using the following enum:
litellm:anthropic-claude-sonnet-4-6
Gemini
Admin Gemini 3.5 Pro Preview model is available through LiteLLM using the following enum:
litellm:gemini-3-1-pro-preview
⚠️ Upcoming Module Retirement
The following AI modules will be retired in 2026.12:
DueDiligence
ImageSummarizer
InvestmentResearchDocuments
InvestmentResearchTable
LunchSearchV4
QueryTable
QuestionPredictor
TranscriptInteraction
WhatsappWriter
ContextMemorySearch
If you are currently using any of these modules, please reach out to your Customer Success contact to plan the replacement.
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