Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Build and orchestrate multi-step AI workflows combining multiple EachLabs models. Create custom pipelines, trigger executions, and manage workflow versions....
Build and orchestrate multi-step AI workflows combining multiple EachLabs models. Create custom pipelines, trigger executions, and manage workflow versions....
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Build, manage, and execute multi-step AI workflows that chain multiple models together via the EachLabs Workflows API.
Header: X-API-Key: <your-api-key> Set the EACHLABS_API_KEY environment variable. Get your key at eachlabs.ai.
https://workflows.eachlabs.run/api/v1
To build a workflow, you must: (1) create the workflow, then (2) create a version with the steps.
curl -X POST https://workflows.eachlabs.run/api/v1/workflows \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "name": "Product Photo to Video", "description": "Generate a product video from a product photo" }' This returns a workflowID. Use it in the next step.
curl -X POST https://workflows.eachlabs.run/api/v1/workflows/{workflowID}/versions \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "description": "Initial version", "steps": [ { "name": "enhance_photo", "model": "gpt-image-v1-5-edit", "version": "0.0.1", "input": { "prompt": "Place this product on a clean white background with studio lighting", "image_urls": ["{{inputs.image_url}}"], "quality": "high" } }, { "name": "create_video", "model": "pixverse-v5-6-image-to-video", "version": "0.0.1", "input": { "image_url": "{{steps.enhance_photo.output}}", "prompt": "Slow cinematic rotation around the product", "duration": "5", "resolution": "1080p" } } ] }' Important: Before adding a model to a workflow step, check its schema with GET https://api.eachlabs.ai/v1/model?slug=<slug> to validate the correct input parameters.
curl -X POST https://workflows.eachlabs.run/api/v1/{workflowID}/trigger \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "inputs": { "image_url": "https://example.com/product.jpg" } }'
curl https://workflows.eachlabs.run/api/v1/executions/{executionID} \ -H "X-API-Key: $EACHLABS_API_KEY" Poll until status is "completed" or "failed". Extract output from step_outputs.
curl https://workflows.eachlabs.run/api/v1/workflows \ -H "X-API-Key: $EACHLABS_API_KEY"
curl https://workflows.eachlabs.run/api/v1/workflows/{workflowID} \ -H "X-API-Key: $EACHLABS_API_KEY"
Trigger the same workflow with multiple inputs: curl -X POST https://workflows.eachlabs.run/api/v1/{workflowID}/trigger/bulk \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "executions": [ { "inputs": { "image_url": "https://example.com/product1.jpg" } }, { "inputs": { "image_url": "https://example.com/product2.jpg" } }, { "inputs": { "image_url": "https://example.com/product3.jpg" } } ] }'
curl https://workflows.eachlabs.run/api/v1/executions/{executionID} \ -H "X-API-Key: $EACHLABS_API_KEY" Response includes status (pending, running, completed, failed) and step_outputs with results from each step.
Configure a webhook to receive results asynchronously: curl -X POST https://workflows.eachlabs.run/api/v1/{workflowID}/trigger \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "inputs": { "image_url": "https://example.com/photo.jpg" }, "webhook_url": "https://your-server.com/webhook" }'
Workflow versions allow you to iterate on workflows while keeping previous versions intact. Steps are defined in versions, not in the workflow itself.
curl -X POST https://workflows.eachlabs.run/api/v1/workflows/{workflowID}/versions \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "description": "Added upscaling step", "steps": [ { "name": "generate_image", "model": "gpt-image-v1-5-text-to-image", "version": "0.0.1", "input": { "prompt": "{{inputs.prompt}}", "quality": "high" } }, { "name": "upscale", "model": "topaz-upscale-image", "version": "0.0.1", "input": { "image_url": "{{steps.generate_image.output}}" } } ] }'
curl https://workflows.eachlabs.run/api/v1/workflows/{workflowID}/versions/{versionID} \ -H "X-API-Key: $EACHLABS_API_KEY"
curl -X PUT https://workflows.eachlabs.run/api/v1/workflows/{workflowID}/versions/{versionID} \ -H "Content-Type: application/json" \ -H "X-API-Key: $EACHLABS_API_KEY" \ -d '{ "description": "Updated prompt template", "steps": [ { "name": "generate_image", "model": "gpt-image-v1-5-text-to-image", "version": "0.0.1", "input": { "prompt": "Professional photo: {{inputs.prompt}}", "quality": "high" } } ] }'
curl https://workflows.eachlabs.run/api/v1/workflows/{workflowID}/versions \ -H "X-API-Key: $EACHLABS_API_KEY"
Two-phase creation: Create workflow first, then add steps via versions Step chaining: Reference previous step outputs with {{steps.step_name.output}} Input variables: Use {{inputs.variable_name}} to pass dynamic inputs Version management: Create, update, and retrieve workflow versions Bulk execution: Process multiple inputs in a single API call Webhook support: Get notified when executions complete Public/unlisted sharing: Share workflows with others
See references/WORKFLOW-EXAMPLES.md for common workflow patterns.
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