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fal.ai integration

AI & Machine Learning · 4 actions · API key auth

Queue-based AI model inference via the fal.ai platform

Overview

The ModuleX fal.ai integration lets a ModuleX agent operate fal.ai on your behalf — running cancel actions across request to queues, requests and request responses — directly from a plain-English request, using your organization's own fal.ai credentials. No pre-built workflow is required: the agent picks the right fal.ai action for the task.

fal.ai is an ai & machine learning platform. ModuleX adds the agent layer: ask for an outcome and it selects and runs the right fal.ai action — or, when you want a repeatable process, the composer assembles a fal.ai workflow for you, streaming the nodes onto the canvas as it builds.

Ask the assistant

Drive fal.ai in plain English

Type what you want. A ModuleX agent picks the right fal.ai action — or chains several — and runs it. No workflow to build.

  • Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates
    resolves toadd_request_to_queue
  • Cancels a request in the queue to stop a long-running task that is no longer needed
    resolves tocancel_request
  • Show me the request responses that match what I describe
    resolves toget_request_response
Use cases

What you can automate with fal.ai

  • Add a request to queue on the flyadd_request_to_queue
  • Cancel a request on requestcancel_request
  • Look up a request response on demandget_request_response
At a glance

fal.ai integration at a glance

Vendorfal.ai
CategoryAI & Machine Learning
Actions available4
AuthenticationAPI key
Uses your own credentialsYes
Works with the assistantYes
Works in the composerYes
Multi-step / tool-chainingYes
Technical referenceView docs
Integration version1.0.0
Last updatedJun 2026
Reference

All 4 fal.ai actions

Request to Queues1
add_request_to_queue
Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates
Requests1
cancel_request
Cancels a request in the queue to stop a long-running task that is no longer needed
Request Responses1
get_request_response
Gets the response of a completed request in the queue to retrieve results of an asynchronous task
Request Status1
get_request_status
Gets the status of a request in the queue to monitor the progress of an asynchronous task

See full parameters and response schemas in the fal.ai integration docs

Two ways

Two ways to use fal.ai in ModuleX

Ask the assistantType what you want done and a ModuleX agent picks the right fal.ai action and runs it — no workflow to build.
Compose a workflowNeed it to happen every time? Describe the process and the composer wires fal.ai into a repeatable workflow you can run on a schedule, from chat, or as an API.
Security

Connecting fal.ai

API keyfal.ai uses API-key authentication. You provide your own fal.ai secret key; ModuleX encrypts it and scopes it to your organization, so your whole team can use fal.ai without re-authenticating.

Step-by-step setup in the fal.ai docs

Related

Pairs well with fal.ai

Agents often chain fal.ai with these — connect them once and the agent can use all of them in a single task.

FAQ

fal.ai + ModuleX FAQ

A ModuleX agent can run any of fal.ai's 4 actions — across request to queues, requests, request responses and request status — from a plain-English request, using your organization's own fal.ai credentials.
No. The agent selects the right fal.ai action from your prompt. A workflow is only needed when you want a repeatable process — and the composer builds that for you from a description.
Via your own fal.ai API key, stored encrypted and scoped to your organization.
4, spanning request to queues, requests, request responses and request status.
fal.ai runs on your own credentials, so any fal.ai usage is billed by fal.ai directly. ModuleX meters the agent run — and if you connect your own model keys, there's no ModuleX markup on model usage.

Put fal.ai to work in ModuleX.

Connect fal.ai once with your own credentials and let your agent run all 4 actions on demand.

Last updated: Jun 2026Browse all 175 integrations →