Releasesby GlyphExpanded 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...
Also shipped Jun 1, 2026fal in June 2026 →
Fivetran CLI enters beta, Connect Card gains all_fields parameter
The beta Fivetran CLI manages accounts, connections, schema settings and users and helps develop custom connectors from the terminal. Connect Card's all_fields option shows setup fields hidden by default.
Unlocking a New Way to Build Enterprise Data Apps with Microsoft Fabric
Replit and Microsoft have collaborated to allow developers to build AI-powered applications in Replit and deploy them directly into Microsoft Fabric with enterprise governance.
May Release Spotlight
OpenRouter has released new speech and transcription APIs, Model Fusion, private models, and enterprise workspace controls, alongside 20 new model launches.
Protect apps in the new app builder
Live on cloud • Enterprise Public beta Apps created with the new app builder can now be protected and checked into your chosen Source Control Manager (SCM). Source Control lets organizations manage changes using remote SCM providers GitHub, GitLab, AWS CodeCommit, Bitbucket, and Azure Repos.
Customize RPID values for Passkeys GA
Boost Passkey adoption by enabling shared enrollment across subdomains. You can now customize the RP ID to allow a single Passkey to authenticate users across multiple applications under the same root domain. Now GA!
Fivetran Connector SDK 2.9 logs peak memory and adds Copilot plugins
Version 2.9.2 makes fivetran debug log peak memory usage and adds validation in fivetran init, and 2.9.1 lets fivetran init use Copilot plugins for AI-assisted connector development.
More from falEvery fal release →
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.
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.
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.
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 .