Releasesby GlyphModal 1.5.4
With this release, it's now possible to opt into a more performant Sandbox backend, which affords substantially higher creation rates and concurrency. Set MODAL_SANDBOX_V2=1 as an environment variable and your Sandboxes will use this new system without any code changes. This will become the default behavior in version 1.6.0 of the Python SDK.
Also shipped Aug 12, 2026Modal in August 2026 →
Define business concepts with Pages (Beta)
You can now use Pages to give business terms, acronyms, and KPIs a single governed definition. Part of Unity Catalog semantics , Pages form the human-modeled layer of the Genie Ontology that Genie One draws on to ground its answers. See Pages .
Custom trace views in the MLflow trace explorer are in Beta
You can now build custom trace views in the Databricks MLflow trace explorer. Describe the layout you want in plain language, and Genie generates a reusable view that surfaces the trace fields, metrics, and feedback controls most relevant to your review workflow. See Build a custom trace view .
Google Search Console connector is available in Beta
The managed Google Search Console connector is now available in Beta in Databricks Lakeflow Connect. Use it to ingest search performance data, site metadata, and sitemap information from Google Search Console into Databricks.
Glean connector in Lakeflow Connect (Beta)
You can now ingest data from Glean into Databricks using the managed Glean connector in Lakeflow Connect. The connector ingests company-wide usage insights for search, Assistant, and agents, along with the shortcuts (go links) defined in your Glean deployment, using a Glean Client API token. This feature is in Beta . See Glean connector .
Amplitude connector (Beta)
The Amplitude connector in Lakeflow Connect is now in Beta. Ingest product analytics event data along with event, cohort, and annotation metadata from Amplitude. See Amplitude connector .
Gemini Enterprise: GitHub connector with data federation
The GitHub connector with data federation is generally available (GA) in Gemini Enterprise. The connector lets you search and act on GitHub repositories, issues, and pull requests directly from the Gemini Enterprise agent, with tool actions such as creating branches, adding issue comments, merging pull requests, and pushing files.
More from ModalEvery Modal release →
Modal 1.5.5
- We've added a modal.Sandbox.logs API, allowing you to fetch() logs from a specific date/time range or to tail() the most recent logs. Note that only logs from the entrypoint process of a Sandbox are currently stored, and streaming logs via this interface is not currently supported.
Modal 1.5.3
- We've added new APIs for programmatically retrieving logs on several object types: Function, Server, and FunctionCall. Each object exposes three different methods, allowing you to stream() logs as they are generated, fetch() logs from a specific date/time range, or tail() the most recent logs.
Modal 1.5.2
- We've added new interfaces for programmatic management of workspace settings: Use the modal.Workspace.settings.list() method or modal workspace settings list CLI to see current workspace-level settings. Use the modal.Workspace.settings.set() method or modal workspace settings set CLI to configure new values.
Modal 1.6.0
Sandboxes now use our next-generation backend, affording substantially higher creation rates and concurrency limits for CPU Sandboxes. No code changes are required, but there are some semantic differences to be aware of: The modal.Sandbox.create() method now blocks until the Sandbox is scheduled instead of returning immediately.
Modal 1.5.1
This release includes several major new features, including the debut of a new serverless compute primitive for low-latency HTTP applications (@app.server()) and a new CLI for deploying production-ready LLM inference endpoints with minimal configuration (modal endpoint).
Modal 1.6.1
- We've added CLI commands for observability over Modal Endpoints: modal endpoint info displays basic metadata. modal endpoint stats reports aggregate performance metrics. modal endpoint logs fetches or streams logs.
Modal 1.6.2
- The new metrics observability surface provides a flexible query interface for fetching detailed time-resolved data about performance and resource consumption: Use the new modal function metrics / modal server metrics CLIs to export metrics to JSON or CSV. Use methods in the new Function.metrics / Server.metrics namespaces to operate on metrics in code.
Modal 1.5.0
This is a major release that includes several new features (named Images, version-pinned Function lookups, Sandbox domain allowlists), a new modal skills CLI, and a small number of breaking changes. We're introducing a "named Image" concept, akin to a Modal-native Image registry.