Releasesby GlyphModal 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.
Also shipped Aug 28, 2026Modal in August 2026 →
Monitor and cap external provider costs
Unity Gateway can now track and cap spend on external model providers, such as Amazon Bedrock and Azure AI Foundry, not just Databricks-provided models. If your organization already has capacity commitments directly with a provider, Unity Gateway becomes the single point to track that usage and enforce spend limits across teams and use cases.
Unity Catalog Skills (Beta)
You can now publish, govern, and share agent skills with Unity Catalog. A skill is a first-class Unity Catalog securable ( catalog.schema.skill ) that follows the SKILL.md specification , so you register it once and control who can discover, use, and update it with the same permissions, tags, and audit that protect your tables.
Looker visual modeling canvas for BigQuery enters preview
A drag-and-drop canvas builds and edits LookML models on BigQuery sources: join tables, define dimensions and measures, preview results and publish Explores without writing LookML.
Conversational Analytics verified queries , also known as golden queries , are now generally available
Conversational Analytics verified queries , also known as golden queries , are now generally available. You can also now define verified queries in Looker (Google Cloud core) instances.
Now available in preview, model localization is supported for imported projects
Now available in preview, model localization is supported for imported projects. By default, Looker uses the locale definitions from the importing project only, if the importing project has locale definitions.
More from ModalEvery Modal release →
Modal 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.
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 1.6.1
- 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 1.5.3
- 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 1.6.2
- 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 1.5.2
- 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 1.6.3
Modal 1.6.3 includes a new Image Builder version that improves caching for Dockerfile instructions and Python distributions. This update provides performance enhancements and security updates for function containers.
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).