Andrew Adams · Co-Founder & Operations at Wireflow · AI Orchestration API
Design multi-model AI pipelines visually and trigger them through a single REST endpoint with async execution and webhook support
Free to build · no credit card
We spent 37+ hours benchmarking AI models for orchestration api while building Wireflow, documenting which settings and configurations produce the best outputs. The workflow below reflects what we learned.
Coordinate Multiple AI Models From One Endpoint
Running AI workloads across multiple providers typically means writing custom integration code for each model and handling data serialization between steps. Wireflow's orchestration approach lets you [chain models](https://www.wireflow.ai/features/ai-model-chaining) as nodes in a graph, connect their inputs and outputs with edges, and execute the full pipeline with one authenticated POST request to /api/v1/workflows/{id}/execute.
Each workflow supports up to 100 nodes and 500 edges, covering categories like generation, editing, video, audio, and utility processing. Build the pipeline on the [visual node editor](https://www.wireflow.ai/features/visual-node-editor), publish it, and receive an executionId in the 201 response. Poll the /executions/{id}/poll endpoint with exponential backoff until the run reaches COMPLETED or FAILED state.
Orchestration Capabilities
157+ AI Model Nodes
Access models across image generation, video, audio, editing, 3D, and utility categories including Flux 2, Imagen 4, Kling Video, and Recraft.
REST Execution Endpoint
POST to /api/v1/workflows/{id}/execute with your node and edge configuration. Receive a 201 response with an executionId for async polling.
Webhook Triggers
Trigger any workflow via POST /workflow/{webhookId}/trigger with no API key required. Connect forms, CI pipelines, or Zapier directly.
Async Poll Pattern
Poll GET /executions/{id}/poll with exponential backoff starting at one second. States progress from RUNNING to COMPLETED with full node outputs.
Per-Node Execution Details
GET /workflows/executions/{id} returns timing, credit usage, and outputs for every node in the pipeline to identify bottlenecks per step.
Idempotent Execution
Send an Idempotency-Key header on execute requests. Identical keys within 24 hours replay the original response without duplicate runs.
More Than Just AI Orchestration API
Automate Complex AI Pipelines
Define multi-step orchestration flows that run with a single API call. Wireflow's pipeline automation handles execution order and passes outputs between nodes automatically.
Orchestrate 157+ AI Models
Route requests to image, video, text, or audio models from one pipeline. Connect any AI image generator alongside Kling Video and text-to-speech nodes in one flow.
Replace Fragmented Toolchains
Stop switching between separate tools for each production step. Consolidate generation and post-processing into one orchestrated pipeline, unlike alternatives that lack API access.
Scale With Tiered Rate Limits
Run orchestration pipelines from 50 daily executions on Free up to unlimited on Enterprise. Rate limit headers on every response keep integrations predictable.
Transparent Per-Node Pricing
Pay only for the models each pipeline calls with clear pricing per node execution. The 402 response includes a per-node credit breakdown before any charge.
Build Any AI Workflow
AI Models Integrated
Full Commercial License
FAQs
An AI orchestration API coordinates multiple AI models in a single pipeline. You send one POST request, the system routes data through each model node, and you poll a separate endpoint for the combined result.
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Written by
Andrew Adams · Co-Founder & Operations at Wireflow
Runs client operations and content strategy at Wireflow. Works directly with creative teams and agencies to build production AI workflows.
Build Your First Orchestration Pipeline
Design a multi-model AI pipeline on the visual canvas and trigger it with a single REST call. No SDK required; any HTTP client works.