Releasesby GlyphPull agent usage data and import Ossie models
Hex now provides API endpoints for tracking agent usage and credit spend, and allows importing Apache Ossie models into Hex semantic-project YAML via the CLI.
Also shipped Oct 22, 2026Hex in October 2026 →
Trace and evaluate Cursor agents with Langfuse, powered by ClickHouse
Users can now connect Cursor to Langfuse to trace agent turns and analyze model and tool calls, with ClickHouse providing the underlying analytics infrastructure.
The AI.TRANSLATE function is generally available
The AI.TRANSLATE function is now generally available in BigQuery. It supports both standard Neural Machine Translation and Translation LLM capabilities for text string translation.
Replit Monitoring Agent: Your very own software engineering team
Replit Monitoring Agent is an autonomous tool that investigates production alerts, identifies causes, applies fixes, and deploys them to production for internal apps.
Microsoft Entra ID connector is available in Beta
The Microsoft Entra ID connector is now in beta for Databricks Lakeflow Connect. It supports incremental ingestion of users, groups, and audit logs using OAuth machine-to-machine authentication.
You can configure Direct VPC ingress for Cloud Run instances ( Preview )
Direct VPC ingress is now in preview for Cloud Run. This feature allows instances on a VPC network to use ephemeral private IP addresses for communication with other VPC resources.
Gemini Enterprise: Single-user quota limits
Gemini Enterprise administrators can now set single-user quota limits to prevent individual users from consuming the entire subscription quota pool. This feature is generally available.
More from HexEvery Hex release →
See how your team uses the agent
🗂️ Agent activity classifications Where someone opens the agent doesn’t tell you much about what they’re working on. People often explore data in a notebook, and a thread that starts as a quick question can end with a finished app. Context Studio now categorizes agent activity by what they’re for, not where they started.
Explore and share insights from Generative Apps
💬 Chat with Generative Apps Data apps are built to answer questions, but the best insights often lead to new ones. Explorers can now chat with published Generative Apps to ask follow-up questions, investigate metrics, and keep exploring in an agent Thread without leaving the app.
Publish eval suites, skip approvals, and build Hex projects from your chat agent
⚖️ Publish and version eval suites Did last week’s guide change actually make the agent better? Now you can answer that question without rerunning every test by hand. Publish an eval suite from the CLI, schedule it to run automatically, and track its performance over time in Context Studio .
More control over Generative app iteration
🎮 More control over Generative app iteration Directly edit text, create new chart properties, and queue up viz tweaks all in line. ✏️ Direct text editing You can also edit text directly in the app builder, just like you would in a doc.
Chart controls and easier collaboration
🎨 Generative chart controls Previously, even small edits to your charts in generative apps required new prompts to the agent. Now, you can build custom, code-generated apps with the Hex Agent, and then use the Style panel to make point-and-click chart polishes.
Semantic projects via CLI
⌨️ Semantic projects via CLI Pull your semantic spec out of Hex and into your repo, for local development and source control. This makes it easier to audit context or track what's changed.
Start building an app right from your conversation
🤖 Quickly toggle from chat to notebook Previously, you needed to wait a minute for Hex to convert your Thread to a notebook, now it happens automatically. After starting a conversation with the Hex Agent, you can easily switch views and build in the underlying notebook.
Tune how the agent runs
⚡ Fast mode Need an answer now ? Flip on fast mode in the model picker to push Opus models to 2.5x faster token output, at increased usage. The boost is most dramatic on long blocks of pure token output: big explanations, large blocks of code, or heavy reasoning.