# Fal.ai AI integration on Definable

> The generative media platform for developers with 600+ AI models for image, video, voice, and audio generation

## What this connects

The generative media platform for developers with 600+ AI models for image, video, voice, and audio generation

Vendor: https://fal.ai/

## Tools available

**8** tools available. First 8:

- `FAL_AI_CANCEL_QUEUE_REQUEST` — Cancel Queue Request — Tool to cancel a queued or in-progress request in fal.ai's queue system. Use when you need to stop a request before it completes. Note that cancellation only succeeds if the request hasn't started processing; if already completed, returns an error status. Even with successful cancellation, the request may still execute if it was near the front of the queue.
- `FAL_AI_ESTIMATE_PRICING` — Estimate Pricing — Tool to estimate pricing for fal.ai model endpoints. Use when you need to calculate expected costs for API calls or unit-based usage across one or more endpoints.
- `FAL_AI_GET_JWKS` — Get JWKS for Webhook Verification — Tool to retrieve public keys for webhook signature verification. Returns a JSON Web Key Set containing ED25519 public keys. Use when you need to verify webhook signatures from fal.ai. The keys are cacheable but should be refreshed at least every 24 hours.
- `FAL_AI_GET_MODELS` — Get Models — Tool to discover and search fal.ai model endpoints. Use when you need to list all models, find specific models by ID, or search by category/query. Supports pagination and optional expansion of OpenAPI schemas.
- `FAL_AI_GET_PRICING` — Get Model Pricing — Tool to retrieve unit pricing for model endpoints. Returns pricing information including unit price, billing unit, and currency. Use when you need to check costs for specific fal.ai models.
- `FAL_AI_GET_QUEUE_REQUEST_RESULT` — Get Queue Request Result — Tool to retrieve the final result of a completed queue request. Use when you need to get the output of a model request that was submitted to the queue and has finished processing. Only works after request status transitions to COMPLETED.
- `FAL_AI_QUEUE_GET_STATUS` — Check Queue Request Status — Tool to check the status of a queued request in fal.ai. Use when you need to monitor the progress of an async request. Returns different information based on status: queue position when IN_QUEUE, logs when IN_PROGRESS or COMPLETED.
- `FAL_AI_QUEUE_GET_STATUS_STREAM` — Stream Request Status Updates — Tool to stream request status updates via SSE. Use when you need real-time updates on a queued request's processing state.

## Auth

Auth schemes: `API_KEY`.

## How agents use Fal.ai

Inside a Definable workflow, Fal.ai is one of the tools the **Distributor specialist** can call. Example coordination patterns:

- **Researcher → Fal.ai** — the Researcher (GPT-5.5) pulls context from Fal.ai (records, threads, documents), synthesises findings, and briefs the rest of the team.
- **Writer → Distributor → Fal.ai** — the Writer (Claude Opus 4.7) drafts copy in brand voice, the Verifier passes it, then the Distributor writes the result into Fal.ai (create record, post message, draft email).
- **Designer / Engineer → Distributor → Fal.ai** — the Designer ships an asset or the Engineer ships a code change, the Distributor delivers it via Fal.ai (attach file, open PR comment, post status).

The Verifier checks every Fal.ai call. On rate limit, schema drift, or auth refresh it self-heals and retries — the workflow completes without manual intervention.

## Categories

- ai models — https://definable.ai/apps/category/ai-models/
- developer tools — https://definable.ai/apps/category/developer-tools/

## Related

- HTML page: https://definable.ai/apps/fal_ai/
- Same category (ai models): https://definable.ai/apps/category/ai-models/
- All integrations: https://definable.ai/apps/
- Workflow (multi-agent loop): https://definable.ai/workflow/
- Apps llms.txt index: https://definable.ai/llms-apps.txt