Improvements

• Orion now recognizes foreign key relationships declared in your dbt project through relationships tests, using them to determine the correct join paths between tables.

Behavioral Analytics Reports in the Knowledge Base

Comprehensive behavioral analytics reports for your Looker models now automatically appear in your knowledge base under Internal and stay up to date after every nightly analysis.

These reports include executive summaries, dashboard analysis, user activity, field catalogs, data quality assessments, usage patterns, proactive intelligence, and user personas—giving you instant access to rich context about your data without manual compilation.

Connect LookML Repositories Directly to Warehouse Data Sources

You can now connect a LookML repository to warehouse data sources such as Snowflake, BigQuery, or Postgres, not only to Looker connections. If your business logic lives in LookML but Orion queries your warehouse directly, that logic can now reach Orion without a Looker connection in between.

You can also copy an existing LookML repository configuration from a Looker connection to a warehouse data source instead of entering the repository and token a second time.

Improvements

• Notebook cell edits requested in chat are now reliably applied instead of being replaced with a review of the change.
• Orion now provides the standard OAuth resource-metadata endpoint that MCP clients look for, eliminating extra failed requests during connector discovery.

Metrics Catalog in Project Settings

You can now add catalog metrics to a project directly from the project's own settings. Open Project Settings, go to the Knowledge Base tab, and the Metrics Catalog appears at the top of the list alongside your wiki pages. Select metrics and folders with checkboxes instead of managing them one at a time from the Knowledge Base interface.

LookML File Browser and Actionable Sync Errors

When working with LookML integrations, you can now browse the exact files Orion pulled from your GitHub repository in the Augmentation tab, so you know precisely what Orion is reading. When a sync fails, Orion now tells you what went wrong and which specific setting to change, instead of reporting a generic error message.

End-to-End Metrics Catalog Building

Orion can now complete your entire metrics catalog workflow without handoff. It creates the folder structure, files metrics into the right folders as it promotes them, reorganizes the catalog for clarity, and writes knowledge base pages that explain how your metrics fit together. What previously required you to finish the organization and documentation by hand is now fully automated.

Improvements

• Dashboard edits now detect conflicting updates, preventing newer changes from being accidentally overwritten when multiple people edit simultaneously.

Metric Ownership and Deliverable Lineage

You can now record who is responsible for each metric in your Metrics Catalog as people or teams. When you're about to edit a shared metric, Orion shows you every published report that depends on it, so definition changes become conversations with stakeholders instead of surprises.

Improvements

• Commenting on interactive dashboard elements is now more responsive, especially on complex dashboards with many charts and controls.
• Orion more persistently validates chart type changes and refuses unsupported formats, then confirms its own edits by reading back current metric settings.
• Orion displays metric owner information and shows which published reports will be affected by a metric definition change before the change is made.
• Workflows built from Looker queries, weather lookups, or news searches now carry full definition information, preventing scheduled run failures.
• Shared Orion links through the Claude integration now resolve correctly, and slide decks and podcasts produced by workflows are now accessible through shared links.

MotherDuck Warehouse Connection

You can now connect Orion to MotherDuck and analyze your data the same way you would with any other warehouse.

Add your MotherDuck database using a token, and Orion automatically reads your schema, answers questions about your data in chat, and pulls tables into your notebook for analysis. Read Scaling tokens are supported and recommended, and your table and column comments are automatically used by Orion to understand which tables are relevant to your questions.

Schema Diagram View

The Schema tab now displays your data source's table relationships as an interactive diagram, letting you see the shape of your schema at a glance. Relationship lines are color-coded to show their origin, and dashed lines indicate relationships your warehouse declares but does not enforce.

Intelligent Table Relationships

Orion now understands how your tables relate to each other by reading the foreign keys your warehouse declares and any dbt relationship tests you have written.

When Orion writes queries, it uses these verified paths. The Schema tab shows you which joins are verified and which are not, and you can correct relationships Orion misidentified or add ones your warehouse never declared.

Improvements

• The conversation Context panel now displays the data sources, knowledge base pages, and metrics Orion started with, not just content pulled in mid-conversation

Improvements

• In a shared room, Orion's answer now stays where it was asked—messages people send while Orion is still writing appear below the answer instead of pushing it down, so a conversation reads in the order it happened.
• Slide Decks built from saved templates now fill in placeholder company and metric names with the real ones, so finished presentations no longer contain template text like "[Company Name]".

Unique Value Counts in Dashboard Headers

Dashboard headers can now display a count of unique values—such as unique sessions, unique customers, or unique users—instead of only showing a row count. This gives you more flexibility in summarizing what your data represents at a glance.

Chat Annotations for Direct Input

Orion can now raise questions or suggest analyses directly in chat when it needs your input on something. These annotation cards appear alongside the reply and persist in the conversation, so you can see them again when you return to the chat.

Improvements

• Dashboard metrics that divide a value by itself now display a "verify" badge to flag results that may need review, instead of silently showing 1.
• Dashboard metrics no longer show placeholder values when cost or credit columns contain small quantities.
• Charts covering several years of daily data now render successfully instead of reporting too many groups.
• Chat responses now stream properly in shared rooms when the response involves tool use and other participants send messages concurrently.

Improvements

• PDF uploads now clearly explain why a file was rejected and what to do about it, with immediate feedback for scanned documents with no readable text, password-protected files, and damaged files
• Slide decks built from saved templates now preserve the template's logo and background images

Analysis Recommendations with Intake Conversations

Orion now suggests analyses worth running directly in your conversations, surfacing opportunities at the moment you're already discussing the relevant topic.

When you click through on a recommendation, a short intake conversation opens to clarify exactly what you want—whether that's a slide deck, dashboard, metrics report, or something else—before any analysis work begins. This ensures the final result matches what you asked for rather than a generic guess.

Improvements

• Gemini Enterprise users can now ask Orion about their workflows and receive accurate answers about which workflows exist, when they last ran, and what each run produced.

Editable dbt Configuration

You can now edit a data source's dbt configuration after it is created. Update dbt Cloud, GitHub, or uploaded-manifest settings and rotate dbt credentials directly from the data source's Connection tab, without deleting and recreating the connection.

Per-Datasource Schema Auto-Enable Control

Data source admins can now control, per data source, whether newly discovered tables and explores are enabled or disabled by default. This gives you fine-grained control over which new schema elements appear in your workspace without requiring manual review of every discovery.

Improvements

• Resolved bug that affected dashboard dropdown rendering
• Fixed dashboard data pipeline to improve reliability

Workspace Panel: See the Sources Behind Every Answer

Open the Workspace panel (or click "Sources for this reply" under any answer) to see exactly which knowledge base pages, memory, metrics, and project settings Orion used to reach that result.

Each source is linked directly so you can open a Knowledge Base page to verify or edit it. This makes it much easier to understand and trust how Orion reached a conclusion.

Improvements

• Dashboards no longer display partial query results as complete data; when a result exceeds the calculation limit, you are prompted to narrow the data with a filter instead.

Improvements

• Interactive dashboard conversations now remain responsive as dashboards are created and edited, with dashboard thumbnails using substantially less browser memory.
• The "Remember this" memory prompt now displays a clean memory icon and shows "Saved" status more clearly.
• Memory suggestions now display the full instruction Orion will remember, making it easier to understand exactly what will be retained for future conversations.

Rename Conversations for Better Organization

You can now rename your chats from the history sidebar to keep past conversations organized and easy to find. Give your conversations meaningful names that reflect their purpose, making it simple to locate and revisit important analyses.

Improvements

• Bug fixes for network interruptions during chat conversations

Connect Amazon Athena as a Data Source

You can now connect Amazon Athena as a data source. Orion introspects your AWS Glue catalog, learns which tables and columns your team queries most, and runs analyses directly against Athena.

Per-User BigQuery OAuth Access

You can now connect your own Google account to a BigQuery data source that uses per-user access, so Orion runs your queries under your own BigQuery permissions.

Connect or disconnect any time from the data source's Connection tab. Admins can configure the OAuth credentials directly in the datasource settings instead of coordinating separately.

Smarter Memory and Knowledge-Base Suggestions

When you state a durable company fact or a personal preference, Orion now offers to save it to the right place: facts to the knowledge-base wiki, preferences to your personal memory.

It only offers to save things you actually said, won't re-add what's already in your knowledge base, and no longer files company definitions away as personal memories.

Improvements

• Context toggle settings (Memory, Knowledge base, Previous chats) now persist for the entire conversation when you turn them off before starting a chat
• Dashboard creation is faster and more reliable
• Long-running chats that generate reports, dashboards, or slides now complete reliably without getting stuck during extended sessions

Improvements

• The datasource schema pages now load almost instantly, even for very large Looker or warehouse connections
• Resolved project owners access bug
• Uploading multiple documents to a project now reliably indexes every file for search

Improvements

• Chat initialization is noticeably faster thanks to optimized schema fetching during startup.

Choose What Orion Uses for Each Conversation

You can now control what Orion draws on for any conversation by toggling memory, knowledge base, and past chats on or off. Use the new Context control in the chat box to customize which information sources are active before you send your first message. This lets you have focused conversations that ignore your history, or leverage your full context when you need it.

Redesigned Weekly Digest Email

The weekly digest email now features a cleaner, more scannable design with a clear headline, key metrics at a glance, and concise per-project findings, each linking directly to its source for quick exploration.

Improvements

• Looker explores now surface the fields people actually use more reliably, leading to faster and more relevant query construction

• Workflow run deletion is now available throughout the product for easier history management

In-line Review for Knowledge Base Changes

Knowledge Base reviewers now see proposed changes rendered directly in the markdown, similar to suggestion mode in Google Docs. This makes it dramatically easier to understand exactly what's changing and why. A visual minimap helps you navigate longer documents, while clear indicators show you which edits you've already reviewed.

Submitters can preview their pending changes in the same beautiful rendered format before submission, ensuring their contributions look exactly as intended.

Improvements

• Backend infrastructure improvements enabling enhanced workflow context tracking across artifact pages

Behavioral Usage Understanding Without LookML

Orion now understands how your Looker fields are actually used—query frequency, common filters, co-queried fields, and importance—even when you don't have a connected LookML repo or have AI descriptions disabled. This means your analysis reflects real usage patterns in more cases, and the system's understanding stays fresh after each nightly refresh.

Persona-Based Explore Intelligence

Orion now understands who uses each Looker explore and what business questions their query patterns answer. This lets the system frame analysis around the people and decisions an explore actually serves and proactively suggest the next useful question based on real usage behavior.

Improvements

• Bug fix to resolve project document search issues