media.thumbnail
Operation: media.thumbnail
Category: media
Tags: ffmpeg, video, image
Extract a single frame from a video as a JPEG thumbnail
Runtime
Section titled “Runtime”Type: Tool — requires fabric-platform/ffmpeg container
Timeout: 300s
Retries: 3 (ExponentialWithJitter)
Requires: tool.ffmpeg
Inputs
Section titled “Inputs”| Name | Type | Required | Default | Description |
|---|---|---|---|---|
input_file | Asset | Yes | — | Video file to extract thumbnail from |
Outputs
Section titled “Outputs”| Name | Type | Description |
|---|---|---|
output_file | Asset | JPEG thumbnail image |
Default Configuration
Section titled “Default Configuration”{ "output_file": "thumbnail.jpg", "timestamp": "00:00:01"}import { WorkflowBuilder } from "@fabric-platform/sdk";
const workflow = new WorkflowBuilder("my-workflow") .node("media-thumbnail", "tool", (n) => n.config({ operation: "media.thumbnail", // ... node-specific config }) ) .build();from fabric_platform import FabricClient
fabric = FabricClient(api_key="fab_xxx")
wf_id = fabric.upsert_workflow("my-workflow", nodes=[ { "key": "media-thumbnail", "kind": "tool", },])use fabric_sdk::FabricClient;
let client = FabricClient::new("http://localhost:3001", api_key)?;
let wf_id = client.upsert_workflow("my-workflow", serde_json::json!({ "nodes": [{ "key": "media-thumbnail", "kind": "tool" }]})).await?;curl -X POST http://localhost:3001/v1/workflow-definitions \ -H "Authorization: Bearer $FABRIC_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "name": "my-workflow", "nodes": [{ "key": "media-thumbnail", "kind": "tool" }] }'