> ## Documentation Index
> Fetch the complete documentation index at: https://honeydew.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# Release Notes
# Product Updates
## AI
* Added support for
[Anthropic Claude Sonnet 5 LLM](https://www.anthropic.com/claude)
## Integrations
* The Honeydew MCP server now includes
[documentation access tools](/integration/mcp#documentation) —
`search_docs` and `query_docs_filesystem` — so a separate documentation
MCP server is no longer needed.
* Added [Snowflake Intelligence](/integration/mcp#snowflake-intelligence) MCP setup —
configure Honeydew as an external MCP server in Snowflake to make Honeydew tools
available to Snowflake Intelligence and Cortex Agents.
## Interfaces
* Added the [XMLA Interface](/integration/xmla-interface) for [Excel](/integration/bi-tools/excel) (Beta) —
Excel Pivot Tables connect to Honeydew natively, without requiring a Power BI license.
Each domain is exposed as an OLAP cube, with entities as dimensions, attributes as hierarchies,
and metrics as measures. See [Excel](/integration/bi-tools/excel#connection-xmla-endpoint)
for setup.
## Integrations
* Added [Sigma](/integration/bi-tools/sigma) data model publishing (Beta) — publish a
Honeydew domain to Sigma as a data model and build workbooks on the semantic layer.
## AI
* Added [agent routing](/integration/context-layer/slack-app#agent-routing) to the Slack app —
leave the Agent field blank to let Honeydew automatically route each question to the
most relevant agent based on its description, AI context, and sample questions.
## Integrations
* Coding agent plugins are available for
[Claude Code CLI](/integration/mcp#claude-code-cli),
[Claude Desktop](/integration/mcp#claude-desktop),
[Cortex Code CLI](/integration/mcp#cortex-code-cli),
[Cursor](/integration/mcp#cursor),
[GitHub Copilot CLI](/integration/mcp#github-copilot-cli),
[Gemini CLI](/integration/mcp#gemini-cli),
[Codex CLI](/integration/mcp#codex-cli), and
[Codex](/integration/mcp#codex) —
installing the plugin sets up the Honeydew MCP servers automatically.
* Added [Databricks BI integration](/integration/bi-tools/databricks) — query the Honeydew
semantic layer from Databricks dashboards via JDBC using the Trino protocol.
## AI
* Added support for configuring the LLM model per agent via the
[`model` field](/integration/context-layer/agents#yaml-schema) in the agent configuration.
This overrides the workspace default model for deep analysis sessions started by that agent,
allowing data teams to experiment with new model releases — including the latest Anthropic
Claude Sonnet, Anthropic Claude Opus, OpenAI GPT, and Google Gemini Pro models —
as they become available, subject to support by the workspace's
[LLM provider](/integration/context-layer/llm-providers).
## Semantic Engine
* Released [Domain Hierarchy](/domains#domain-hierarchy) (Beta),
allowing domains to extend one or more parent domains and
inherit their entities, filters, parameters, tags, and metadata
## Migration
* Added support for bootstrapping from
[SAP Business Objects](/migration/import-tools#sap-business-objects)
## AI
* Released [Agents](/integration/context-layer/agents) as the entry point for Deep
Analysis. Agents define which domain and context the AI can access,
and serve as the governance boundary for AI users.
* Released [Context Management](/integration/context-layer/context-management) — a knowledge
and memory layer for providing AI with organizational knowledge, analytical
methodologies, and historical context. Supports inline content and external sources
via MCP (Notion, Confluence).
## AI
* Added [MCP tools](/integration/mcp) for semantic layer exploration and modeling
* Released the
[Claude Code plugins marketplace](/integration/mcp#claude-code-plugins-marketplace)
with skills for semantic modeling and data analysis
* Added support for
[Anthropic Claude Sonnet 4.6 LLM](https://www.anthropic.com/claude)
* Added support for
[Anthropic Claude Opus 4.6 LLM](https://www.anthropic.com/claude)
## Migration
* Added support for bootstrapping from
[MicroStrategy](/migration/import-tools#microstrategy)
## Data Sources
* Added support for [Databricks](https://databricks.com) as a data source
* Added support for [Google BigQuery](https://cloud.google.com/bigquery) as a data source
## AI
* Added support for [Databricks Mosaic](https://databricks.com/product/mosaic) as an LLM Provider
* Added support for [Google Vertex AI](https://gemini.google.com) as an LLM Provider
* Added support for [Gemini 3 Pro](https://gemini.google.com) LLM model via Google Vertex AI,
Snowflake Cortex and Databricks Mosaic
* Added support for
[Anthropic Claude Opus 4.5 LLM](https://www.anthropic.com/claude)
## UI
* Added new page for managing semantic context across all schema fields,
enabling AI descriptions and sample value loading
## AI
* Released [Deep Analysis](/integration/context-layer/deep-analysis) — a multi-step agentic
workflow for investigative questions. Breaks complex questions into steps, executes
targeted queries at each step, generates charts, and supports follow-up questions
within the same conversation thread.
## BI Integrations
* Added support for Tableau hierarchies through
[Tableau-specific metadata](integration/bi-tools/tableau#attributes-and-metrics)
* Added support for Power BI hierarchies through
[Power BI-specific metadata](integration/bi-tools/powerbi#power-bi-specific-metadata)
* Added support for [Power BI Row-Level Security (RLS)](/integration/bi-tools/powerbi#row-level-security-rls)
## AI
* Released [MCP Server API](/integration/mcp) for programmatic access to AI Analyst capabilities
* Added support for [Anthropic](https://www.anthropic.com) as an LLM provider, including prompt caching
* Added [prompt caching](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-rest-api#prompt-caching)
for Anthropic Claude models in Snowflake Cortex, reducing latency and cost
* Added support for Snowflake [SEARCH](https://docs.snowflake.com/en/sql-reference/functions/search)
function in AI-generated SQL queries, enabling more efficient full text search operations
## BI Integrations
* Added support for [Power BI Semantic Model Chaining](integration/bi-tools/powerbi#semantic-model-chaining)
* Added support for 2-level folders in Looker metadata sync, using LookML `view_label` and `group_label`.
For more details, see [Looker metadata sync](/integration/bi-tools/looker#metadata-sync) documentation.
## Snowflake Integration
* Added support for deploying dynamic datasets as [Snowflake Interactive Tables](/dynamic-datasets#interactive-tables)
* Added support for clustering expressions for deploying dynamic datasets as [Snowflake Tables](/dynamic-datasets#tables)
## AI
* Added support for [Anthropic Claude 4.5 Sonnet LLM](https://www.anthropic.com/claude) in Snowflake Cortex
* Added support for Snowflake [AI\_SUMMARIZE\_AGG](https://docs.snowflake.com/en/sql-reference/functions/ai_summarize_agg)
and [AI\_AGG](https://docs.snowflake.com/en/sql-reference/functions/ai_agg) AI functions in AI-generated SQL queries,
enabling advanced summarization and aggregation capabilities on large text datasets
## Honeydew Studio
* Added preview queries cancellation option
* Added query history pagination
## Semantic Engine
[Partial metrics](calculations/metrics#dynamic-grouping%3A-removing-groups) -
added support for removing all fields of an entity using `GROUP BY (NOT entity.*)` syntax.
## AI / Security
Enhanced [Slack App](/integration/context-layer/slack-app) authentication with OAuth support,
allowing individual users to authenticate with their own Honeydew accounts,
enabling a better security model and enabling the use of personal Snowflake credentials
when [Snowflake OAuth authentication method](/integration/data-sources/snowflake#oauth-authentication) is configured.
## Semantic Engine
* Added support for [Conditional Filtering](/advanced-modeling/conditional-filtering)
* Improved support for [Multi-Grain Tables](/advanced-modeling/multi-grain-tables)
## AI
Can answer complex data questions that require multi-step calculations (for example, cohort analysis).
## API
Released public [GraphQL API](/integration/graphql-api), for programmatic access to the Semantic Layer and metadata
## BI Integrations
* Added support for [Deepnote](/integration/bi-tools/deepnote)
* Added support for [Retool](/integration/bi-tools/retool)
## Security
Added support for [IP Access Control](/access-control/ip-access-control)
## AI
* Answers can create calculated attributes as part of the response (binning, strings and dates manipulations, and more).
* Answers can create table calculations as part of the response (ratios, growth, percentages, % out of total, and more).
## Integrations
Support for import from [Snowflake Semantic Views](https://docs.snowflake.com/en/user-guide/views-semantic/overview) to the Semantic Layer.
## BI Integrations
* Support for [ThoughtSpot metadata sync](/integration/bi-tools/thoughtspot#metadata-sync)
* Added [ThoughtSpot-specific metadata](/integration/bi-tools/thoughtspot#thoughtspot-specific-metadata)
## Security
Support for [per-user API keys](/access-control/api-keys#per-user-api-keys), enabling individual user identification within integrations.
In combination with per-user Snowflake credentials this allows end-to-end user-level data access from any tool or API.
## AI
* Added support for [Anthropic Claude 3.7 Sonnet and Claude 4 Sonnet LLM](https://www.anthropic.com/claude)
(using [Snowflake Cortex AI](https://docs.snowflake.com/en/user-guide/snowflake-cortex/llm-functions))
* Added AI questions history and monitoring workflow in Honeydew Studio
* Reduced API calls latency by switching to [Snowflake Cortex REST API](https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-rest-api)
## BI Integrations
Create new Honeydew data sources for Tableau directly from Honeydew UI.
## Git Integrations
Support for [Azure DevOps](/integration/git/azure-devops)
## Security
1. Support for [OAuth authentication](/integration/data-sources/snowflake#oauth-authentication) with Snowflake
2. Support for OAuth authentication with Tableau
## Onboarding
Added AI-assisted semantic model generation experience, to help users get started with the Semantic Layer
## BI Integrations
Access to generated LookML and Lightdash models through the Snowflake Native App API for programmatic integration
## Security
* SSO with [Microsoft Entra ID](/access-control/entra-id)
* Support for [PAT (programmatic access token) authentication](/integration/data-sources/snowflake#pat-programmatic-access-tokens-authentication) with Snowflake
## Semantic Engine
* Added support for [custom relationship expressions](/modeling/relations#connecting-entities-using-a-custom-sql-expression),
supporting complex join conditions and slowly changing dimensions
## BI Integrations
* Added [Lightdash-specific metadata](/integration/bi-tools/lightdash#lightdash-specific-metadata)
* Added support for [Thoughtspot](/integration/bi-tools/thoughtspot)
## Snowflake Integration
* Added [Environments](/governance/environments) feature to customize Snowflake configuration per development branch
* Added support for multiple Snowflake connections or accounts
## Performance and Stability
* Improved performance in high concurrency and high load environments
* Added support for long term query history
## AI
* Add batch editing mode for AI metadata
* Detect modeling gaps and improve reliability with AI-as-a-Judge automatic validation
* Released a [Teams App](/integration/context-layer/teams-app) AI integration
## Semantic Engine
* Improved support for Lightdash queries
* Improved support for Domo queries
* Improved support for multi-fact scenarios
## Security and Compliance
* Added [Honeydew Trust Center](https://trust.honeydew.ai/)
## BI Integrations
* Added support for Tableau [conditional and top K filters](/integration/bi-tools/tableau#filters)
## Performance
* Extended [Aggregate Awareness](/performance/aggregate-awareness) support for shared dimensions
## Modeling Experience
* Improved the performance for large entities (with over 1,000 fields)
* Improved the performance for large schemas (with over 100 entities)
## AI
* User experience enhancements to [Slack App](/integration/context-layer/slack-app) such as Explain and Show SQL buttons
* Added support for AI-specific metadata in domains and fields, including sample values
## AI
* Released a [Slack App](/integration/context-layer/slack-app) for AI self-service
* Added support for [Anthropic Claude 3.5 Sonnet LLM](https://www.anthropic.com/claude)
(using [Snowflake Cortex AI](https://docs.snowflake.com/en/user-guide/snowflake-cortex/llm-functions))
## BI Integrations
Support for [Domo](/integration/bi-tools/domo)
## BI Integrations
* Support for [Lightdash](/integration/bi-tools/lightdash)
* Support for [Redash](/integration/bi-tools/redash)
## Snowflake Integration
Support for multiple Snowflake accounts
## Security
* [Login with Microsoft user account](/access-control/sso#to-log-in-with-your-microsoft-account)
* Per-user workspace access control
## Semantic Engine
Support for multi-fact schemas.
## BI Integrations
Direct publishing of Semantic Model to Power BI Service (use [this manual](/integration/bi-tools/powerbi-api-integration) to configure)
## Git Integrations
* Support for [GitLab](/integration/git/gitlab)
* Support for [Bitbucket](/integration/git/bitbucket)
## Governance
Support for [Domain-level Role and Warehouse](/domains#data-warehouse-access-control) configuration
## AI
AI questions support in Playground
## Semantic Engine
Automatic coalesce to `0` for `sum` and `count` metrics on an empty group
## Modeling Experience
New Playground experience
## BI Integrations
Support for [Metabase](/integration/bi-tools/metabase)
## AI
Snowflake Native App APIs for AI Analyst (find more details [here](/integration/context-layer/api))
## Semantic Engine
Extended support for conformed dimensions
## BI Integrations
* Support for [Excel Pivot Table](/integration/bi-tools/excel)
* Support for [Tableau Server](/integration/bi-tools/tableau)
## Performance
Released [aggregate awareness](/performance/aggregate-awareness) feature
## Semantic Engine
Released [Cross-Filtering](/modeling/relations#cross-filtering) support for semantic models
## BI Integrations
* Support for [Power BI-specific metadata sync](/integration/bi-tools/powerbi#power-bi-specific-metadata)
* Support for [Tableau BI-specific metadata sync](/integration/bi-tools/tableau#tableau-specific-metadata)
* Support for [Preset and Superset](/integration/bi-tools/superset-preset)
* Support for [Amazon Quick](/integration/bi-tools/amazon-quick)
## AI
Released a Streamlit app for AI self-service, find more details [here](/integration/context-layer/api)
## Semantic Engine
Beta release of [time aware metrics](/advanced-modeling/time-spines) support for semantic models
## BI Integrations
* Support for [Power BI](/integration/bi-tools/powerbi)
* Support for [Hex](/integration/bi-tools/hex)
* Support for [Mode Analytics](/integration/bi-tools/mode)
## Performance
* Major performance improvements for supporting large and complex BI queries
* Query History page for monitoring query performance
## Security
Support for [key-pair authentication](/integration/data-sources/snowflake#key-pair-authentication) with Snowflake
## Security
Released [API Keys](/access-control/api-keys) support
## BI Integrations
Added [Tableau metadata sync](/integration/bi-tools/tableau#metadata-sync)
## Governance
Extended [Metadata](/governance/metadata) support in the semantic layer, including display names and folders
## Modeling
Support for [domain source filters](/domains#source-filters)
## BI Integrations
Support for [Looker](/integration/bi-tools/looker)
## JDBC API
Support for [parameters in SQL interface](/parameters#using-parameters-within-a-sql-interface-connection)
## Modeling
Added [domains](/domains) feature to the semantic layer
## Performance
Released [Entity Caching](/performance/entity-caching) feature