https://aitoolchain.io/tools/modal New releases and features in Modal, tracked by The AI Toolchain. en Fri, 28 Aug 2026 00:00:00 GMT https://modal.com/docs/sdk/py/changelog#155-2026-08-28 https://modal.com/docs/sdk/py/changelog#155-2026-08-28 Fri, 28 Aug 2026 00:00:00 GMT Modal 1.5.5 adds Sandbox log fetching/tailing, configurable default RBAC roles for Restricted Environments, and a global `--profile` CLI option. • Adds `modal.Sandbox.logs` API with fetch() for date/time-range log retrieval and tail() for the most recent logs from a Sandbox's entrypoint process. • Adds a `--profile` global option to the `modal` CLI for ad hoc profile selection without modifying configuration. • Enables configuring the default role when creating a new Restricted Environment via the CLI or SDK. https://modal.com/docs/sdk/py/changelog https://modal.com/docs/sdk/py/changelog Thu, 20 Aug 2026 09:49:51 GMT Modal 1.5.4 adds a high-performance Sandbox backend, App/Image logs APIs, billing rates API, and fractional autoscaler concurrency • Enables a new high-performance Sandbox backend via `MODAL_SANDBOX_V2=1` environment variable, delivering substantially higher creation rates and concurrency; becomes the default in SDK version 1.6.0. • Adds `App.logs` API with fetch(), tail(), and stream() methods to retrieve all logs from an App programmatically. • Adds `Image.logs` API with fetch() and tail() methods to retrieve Image build logs programmatically. • Adds `modal image logs` CLI command for accessing Image build logs from the command line. • Adds Workspace.billing.rates() API and `modal billing rates` CLI to query current pricing structure for a workspace. • Function.update_autoscaler() and Server.update_autoscaler() now return the complete autoscaler configuration state after applying an update. • The `target_concurrency` parameter in @app.server() and Server.update_autoscaler() now accepts fractional values for finer-grained autoscaling control. • Adds `Function.logs`, `Server.logs`, and `FunctionCall.logs` APIs, each exposing stream(), fetch(), and tail() methods. • Adds modal.Workspace.billing.summary() method and `modal billing summary` CLI to see workspace-level spend broken down by category, credit usage, and compute reservation impact. • Adds modal.Environment.billing.summary() method and `modal environment billing summary` CLI for environment-level spend summaries. • Introduces `modal.Environment.roles` interface and `modal environment roles` CLI for managing RBAC permissions, replacing the deprecated `modal.Environment.members` interface and `modal environment members` CLI. • Adds `--compute-region` option (repeatable) to `modal endpoint create` to configure the region where Endpoint containers run. • Adds modal.Workspace.settings.list() method and `modal workspace settings list` CLI to view current workspace-level settings. • Adds modal.Workspace.settings.set() method and `modal workspace settings set` CLI to programmatically configure workspace settings. • Adds `modal.types` module exposing dataclasses returned from public SDK methods as public API, useful for type annotations. • modal.Function.with_options() now accepts a `routing_region` argument to configure regional routing dynamically at invocation time. • Adds `--graceful` flag to `modal container stop` CLI, allowing a container to finish in-flight inputs before exiting rather than having them cancelled. • `modal container logs` CLI now includes logs from the container startup phase. • modal.Sandbox.reload_volumes() now accepts a `timeout` argument (default 55 seconds) and raises `modal.exception.TimeoutError` if the reload does not complete in time. • Introduces @app.server() decorator and `modal.Server` object as a new serverless compute primitive optimized for low-latency HTTP applications. • Introduces `modal endpoint` CLI for deploying production-ready LLM inference endpoints with minimal configuration. • Adds workspace.billing.report() and environment.billing.report() methods with resource-level cost breakdown by CPU, memory, and GPU type. • Adds `modal environment billing` CLI for generating environment-scoped billing reports. • Adds workspace.proxy_tokens.create(), workspace.proxy_tokens.list(), and related methods on `modal.Workspace`, plus a `modal workspace proxy-tokens` CLI for managing proxy tokens. • Adds `modal workspace members` CLI for querying workspace membership information. • Adds `modal curl` experimental CLI command for making authenticated requests to endpoints without manually passing proxy token headers. • `modal app rollback` now accepts a `--strategy` option (`rolling` or `recreate`), matching `modal deploy` and `modal app rollover`. • modal.Sandbox.create_connect_token() now accepts a `port=` argument to scope connect tokens to a custom port. • The Modal Python client now supports HTTP CONNECT and SOCKS4/5 proxies via standard `HTTPS_PROXY` and `ALL_PROXY` environment variables; install extras with `uv pip install 'modal[api-proxy-support]'`, or opt out by setting `MODAL_DISABLE_API_PROXY=1` or `disable_api_proxy = true` in `.modal.toml`. • Introduces named Images via modal.Image.publish() (optionally with `'{name}:{tag}'` format) and modal.Image.from_name() for Modal-native image registry functionality. • Adds `modal image names` CLI to view current name assignments for published Images. • Adds `version=` parameter to modal.Function.from_name() and modal.Cls.from_name() to pin invocations to a specific deployed version of a Function. • Adds `outbound_domain_allowlist=[...]` parameter to modal.Sandbox.create() to restrict which domains Sandbox processes can connect to, with denials recorded in App logs. • Adds `modal skills` CLI with `modal skills install` and `modal skills update` subcommands for managing a foundational Modal agent skill. • Introduces `modal.Workspace` object with workspace.members.list() method for programmatic workspace configuration management. • Adds sandbox.filesystem.watch() method to the Sandbox Filesystem API for improved latency and reliability over the deprecated modal.Sandbox.watch(). • modal.Sandbox.snapshot_filesystem() and modal.Sandbox.snapshot_directory() now accept a `ttl=` keyword argument (default `30 * 24 * 3600` seconds) to configure snapshot image retention. • modal.Sandbox.snapshot_directory() now accepts a `timeout=` keyword argument (default 55 seconds), raising `modal.exception.TimeoutError` if the snapshot does not complete in time. Breaking changes: • The new Sandbox backend (`MODAL_SANDBOX_V2=1`) does not support the deprecated FileIO-based Sandbox filesystem API; code currently issuing FileIO deprecation warnings must be migrated before enabling the flag. • modal.Sandbox.snapshot_filesystem() and modal.Sandbox.snapshot_directory() now default to `ttl=30 * 24 * 3600` (30 days), replacing the previous behavior of persisting snapshot Images indefinitely; pass `ttl=None` to retain the old behavior. • modal.Sandbox.snapshot_directory() now defaults to a 55-second `timeout=` and raises `modal.exception.TimeoutError` if exceeded, replacing the previous behavior of waiting indefinitely. • Several deprecated static methods (.delete() and .create_deployed()) on Modal storage objects (`modal.Volume`, etc.) have been removed; use .objects.delete() and .objects.create() instead. • The existing `modal.billing.workspace_billing_report` function is replaced by the new workspace.billing.report() API. https://modal.com/docs/sdk/py/changelog#154-2026-08-12 https://modal.com/docs/sdk/py/changelog#154-2026-08-12 Wed, 12 Aug 2026 00:00:00 GMT • Adds Workspace.billing.rates() API to query current workspace pricing structure programmatically. • Adds `modal billing rates` CLI command to query workspace pricing from the terminal.