Per-Condition Retry Configuration
The new X-Fal-Retry-Config request header replaces all-or-nothing retry behavior with a separate retry budget per failure condition, allowing retry policy to be tuned independently for each failure mode.
Also shipped Jun 5, 2026fal in June 2026 →
What's new in Sigma
AI Create AI columns (Beta) You can now create AI columns to enrich your data using natural language prompts. AI columns allow you to construct dynamic prompts that reference specific table columns, and can be helpful for tasks like enriching, summarizing, and classifying data. See Create AI columns (Beta) for more information.
Sandboxes, Infrastructure as Code
This week, Sandboxes are available in Priority Boarding from the dashboard and CLI, and Infrastructure as Code is available experimentally in CLI 5.2.0. Both features use the [Railway TypeScript SDK](https://github.com/railwayapp/railway-ts-sdk) (yes, we released a TypeScript SDK too).
Inbound SCIM Groups for Enterprise Connections is now Generally Available!
We’re pleased to announce that support for Groups within Auth0’s [Inbound SCIM](https://auth0.com/docs/authenticate/protocols/scim/configure-inbound-scim) for Enterprise Connections capability is now Generally Available (GA)!
Taxonomy MCP: Branch management and Create tools
Description: You can now build, iterate on, and ship tracking plan changes entirely through AI-assisted workflows. The Amplitude MCP server now includes create and branch management tools for taxonomy, bringing a workflow that was previously only available in the Amplitude UI to any AI assistant.
Web Experiment: Mutex groups, Holdout groups, and Experiment dependencies [Beta]
Description: As your experimentation program scales, controlling how experiments interact becomes critical. Web Experiment now supports mutual exclusion groups, holdout groups, and flag dependencies so you can run a more rigorous, isolated testing program. Mutual exclusion groups prevent users from seeing multiple experiments at once.
Backend for apps and agents, Postgres 18 by default, and more release - Jun 05, 2026
Backend for apps and agents coming soon. As announced last week, three new services are coming to Neon. Object Storage Functions AI Gateway Sign up for early ac...
More from falEvery fal release →
New Capacity Page
The new Capacity page (Serverless → Capacity) reports GPU consumption against your account limit, providing visibility into available headroom before requests begin queuing. Account-wide GPU usage over time, plotted against your limit , with baseline and burst reference lines indicating utilization relative to reserved capacity.
Filter and Sort Apps
Managing a large number of serverless apps is now easier with new filtering and sorting controls directly on the apps page . Filter by machine type to instantly isolate apps running on specific hardware (e.g., H100, A100, L40) and monitor targeted resource allocation.
Expanded Analytics Metrics
The GET /v1/models/analytics and GET /v1/serverless/analytics endpoints now support fourteen additional metrics via the expand parameter, matching the metric families the dashboard surfaces: Error type breakdown , startup_error_count , connection_error_count , timeout_error_count , runtime_error_count for finer-grained failure attribution beyond the...
Serverless Usage API
- New GET /v1/serverless/usage endpoint reports your own serverless compute usage , the machine-seconds each of your deployed apps consumed, priced with your machine rates and net of discounts Break usage down per app, environment, and machine type, with time_series and summary views over any date range and timeframe Filter by app name with app (exact, one...
Redesigned Usage & Billing Page
The Usage & Billing page has been rebuilt to support usage attribution (the Settings "Overview" tab is now "Usage"). Filter by auth method, API key, and login username to attribute consumption to a specific credential or user. Normalized app names and revised charts improve readability and export.
New Serverless Usage Page
The new Serverless Usage page (Serverless → Usage) provides attributable, dimensioned reporting of serverless compute spend in the dashboard. Compute reported in machine-seconds , broken down per app, environment, and machine type. Spend is split by price category: Reserve, Burst, On-Demand, and List.
App-Level Retry Configuration
Apps can now register a default per-condition retry budget at deploy time with the new retry_config deployment option, using the same format as the X-Fal-Retry-Config request header. Set it as a class attribute on fal.App or under the app's table in pyproject.toml .
Deploy Messages and Annotations
You can now attach a freeform message and custom annotations to each revision when deploying: Messages and annotations are set at deploy time and stay with the revision. View and search them on the app's Versions page in the dashboard, or fetch them via the revisions API .