Product Changelog

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Stop and kill runners directly from the dashboard

• Graceful shutdown or force kill runners with a single click
• Access at https://fal.ai/dashboard/apps/{username}/{appname}/runners

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Stream platform logs to your own endpoint with drains

• Automatic log forwarding from apps, runners, and file operations in NDJSON format
• Works with Datadog, Splunk, Elasticsearch, or any HTTP endpoint
• Configure at https://fal.ai/dashboard/drains

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Upload larger files with improved timeout handling

• Extended timeout to 10 minutes for fal files upload and fal files upload-url
• Upload multi-GB files without timeout errors
• See fal files docs

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Restart all runners without redeploying

• Restart all runners for an app without creating a new deployment
• Graceful by default (runners finish current requests) or use --force for immediate restart
• Pick up new secrets, environment variables, or clear memory issues
• See fal apps rollout docs

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Stop specific runners without affecting others

• Stop specific runners without affecting others, useful for targeted maintenance
• See fal runners docs

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Debug production runners with interactive shell access

• SSH-like access to inspect files, environment variables, and dependencies
• Debug production issues without redeploying
• See fal runners shell docs

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See everything happening in your app with the events timeline

• Unified timeline of runner events, deployments, and config changes
• Access at https://fal.ai/dashboard/apps/{username}/{appname}/events

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Get from zero to deployed in minutes with in-app onboarding

• Step-by-step walkthrough from installation to deployment with copy-paste examples
• Access at https://fal.ai/dashboard/serverless-get-started

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Delete files from fal storage

• Recursive deletion: fal files rm path/to/file-or-directory
• See fal files docs

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Platform APIs v1 officially released

• Model discovery - search and metadata retrieval for 600+ models
• Pricing and cost estimation - real-time pricing information
• Usage tracking - detailed line items with quantities and prices
• Analytics - request counts, error rates, and latency percentiles
• Available at https://api.fal.ai/v1 - see docs

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Get notified when you hit concurrent requests limits

• Email and dashboard notifications with smart throttling (immediate, 1h, 1d, weekly)
• Limit value included in 429 responses for programmatic handling

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Debug errors faster with the new errors page

• Server vs client error rates with 4xx/5xx breakdown and sparklines
• Error timeline with status code distribution and endpoint-level breakdown
• Access at https://fal.ai/dashboard/apps/{username}/{appname}/errors

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Stop or kill individual runners from the command line

• fal runners stop - gracefully stop a runner, allowing in-flight requests to complete
• fal runners kill - immediately terminate a runner without waiting
• See fal runners docs

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See exactly how long runners spend starting up

• Pending uptime metrics show how long runners wait before becoming active
• Track PENDING, DOCKER_PULL, and SETUP state durations separately

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Connect fal docs to Cursor with MCP

• Complete documentation in your IDE with AI-powered suggestions
• Simple setup: add fal MCP server to your mcp.json - see guide

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Personalized dashboard with creator and developer views

• Creator view - gallery-focused with favorite models and visual generation history
• Developer view - metrics-driven with usage stats, error tracking, and API analytics
• Quick stats showing credits, requests, and errors with sparklines

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Add custom headers to your API requests

• Add custom headers for analytics, authentication, or middleware integration
• Works with all client libraries

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Multi-GPU inference and training with fal.distributed

• Data parallelism - generate multiple outputs simultaneously (e.g., 4 images on 4 GPUs)
• Model parallelism - split large models across GPUs for faster generation
• Distributed training - synchronized gradient updates with DDP
• Supports 2, 4, or 8 GPU configurations on H100s and A100s
• See distributed docs

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Dedicated pages for Analytics, Runners, Logs, and Versions

• New Analytics page - runner-focused metrics with date range filtering
• New Runners page - app-scoped runner view with enhanced filters
• New Logs page - dedicated log viewer for debugging
• New Versions page - manage and view app revisions
• Enhanced Overview - endpoint stats and performance metrics at a glance

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Compare models side-by-side in the new Sandbox

• Run multiple models simultaneously with the same prompt
• Available at https://fal.ai/sandbox

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Manage deployments from Python without async/await

• Manage apps, runners, and deployments programmatically without async/await
• Same API as CLI: client.apps.*, client.runners.*, client.deploy()
• See Python client docs

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Bring your own container to any deployment

• Use ContainerImage.from_dockerfile_str() or ContainerImage.from_dockerfile()
• Install any dependencies, tools, or system packages you need
• See custom containers guide

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Dynamic auto-scaling with percentage-based buffers

• Configure buffer as a percentage of current concurrency for dynamic scaling
• See scaling docs

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Runner logs with streaming and filtering

• Stream logs in real-time with fal runners logs --follow
• Filter by time range with --since and --until
• Search logs with --search parameter
• Scrollable and searchable in the dashboard with SSE-powered updates
• See fal runners logs docs

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Include local files in your deployments automatically

• Specify files with relative or absolute paths to include at runtime
• Works with fal run and fal deploy
• See app files docs

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Find what you need faster with reorganized navigation

• Generate group: Sandbox, Model Gallery
• Serverless group: Apps, Logs, Files, Runners
• Manage group: Usage, Billing, API Keys, Webhooks, Team Members

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Know exactly which version each runner is running

• Revision ID displayed on runners to track which version is running
• State renamed: “DEAD” → “TERMINATED” for clarity

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Filter logs with custom labels and powerful queries

• EXACT or CONTAINS matching for label values
• Multiple conditions with OR logic (e.g., status IN ["error", "warning"])
• Available in dashboard and API
• Examples: error_type = "ValidationError", endpoint CONTAINS "/api/v2/"

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See what runners are doing during startup

• fal runners list now shows PENDING, DOCKER_PULL, and SETUP states
• Understand deployment progress in real-time

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View all app endpoints and config at a glance

• Endpoints, configuration, and status all in one place

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Monitor and clear your request queue from the CLI

• fal queue size app_name - check queue size for an app
• fal queue flush app_name - flush all pending requests
• See fal queue docs

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View runner history with time-based filtering

• fal runners list --since "1h" - view runners from the last hour (max 24h)
• fal runners list --state dead - filter by state (running, pending, setup, dead)
• Helpful for debugging failed deployments and understanding runner lifecycle
• See fal runners list docs

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Reorganize files in fal storage without re-uploading

• Rename or move files in fal storage: fal files mv source destination
• See fal files docs

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See all your endpoint URLs immediately when testing

• CLI prints playground, synchronous, and asynchronous routes for fal run