Data and AI releases

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Filter and Sort Apps

UpdateNot yet verified

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.

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Also shipped Jun 2, 2026fal in June 2026 →

Dashboard Navigation & IA Refresh is now in Beta

We are excited to announce that the redesigned __Dashboard navigation and information architecture (IA)__ is now available in Beta. This update is the first step toward a more unified platform experience across Auth0, making it faster to find what you need and easier to act on everything across the platform.

Beta
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M2M Support for Third-Party Applications is now Generally Available

We're happy to announce that `strict` third-party applications now support machine-to-machine (M2M) access using the `client_credentials` grant type. As you expose your APIs to AI agents and partner backend services that operate without a user in the loop, you need those integrations to work within the same secure-by-default posture as the rest of your...

GA
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Session Replay Agent v2 is now GA

Description: The latest version of our Session Replay Agent brings a fundamentally new approach to replay analysis. V2 watches actual session footage using multimodal video analysis, turns it into structured findings, then validates and quantifies those findings with autocapture and analytics data , producing clearer, more evidence-backed insights than ever...

GA
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More from falEvery fal release →

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...

Update
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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.

Update
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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.

Update
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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...

Update
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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.

Pricing
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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.

Update
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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 .

Update
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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 .

Update
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