Andrew Adams
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

Explore the API
AI Orchestration API

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.

Built on 750+ internal test generations during development
10+ AI models benchmarked for optimal output quality
30+ configurations tested to find the best defaults

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.

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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.

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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.

Automate Complex AI Pipelines

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.

Orchestrate 157+ AI Models

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.

Replace Fragmented Toolchains

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.

Scale With Tiered Rate Limits

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.

Transparent Per-Node Pricing
Open Platform

Build Any AI Workflow

15+

AI Models Integrated

No Watermarks

Full Commercial License

FAQs

What is an AI orchestration API?
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.
How does AI orchestration differ from calling models individually?
Individual calls require custom glue code between steps. Orchestration handles data routing, execution order, and status tracking automatically so you manage one endpoint and one executionId instead of many.
Can I combine image and video models in one pipeline?
Yes. Chain text-to-image nodes like Flux 2, image-to-video nodes like Kling Video, upscaling, and utility processing in a single workflow. The pipeline executes end to end from one API call.
Do I need code to set up an orchestration workflow?
No. Design the full pipeline on the visual drag-and-drop canvas, then publish it to get a REST endpoint. Developers can also define workflows programmatically via POST to /api/v1/workflows.
How does the API handle failures mid-pipeline?
Poll the execution endpoint to check status. Failed runs include per-node error details with timing and credit data. Use the Idempotency-Key header on retries to prevent duplicate executions within 24 hours.
What AI models can I orchestrate?
Wireflow supports 157+ node types across image generation, video, audio, editing, 3D, and utility categories. Models include Flux 2, Imagen 4, Kling Video, Recraft, and text-to-speech providers.
Is there a limit on pipeline size?
Each workflow supports up to 100 nodes and 500 edges. Node data nesting is limited to 10 levels deep. Most production pipelines use between two and six nodes for optimal execution time.
Can I trigger pipelines without an API key?
Yes. Published workflows can have a webhook URL that accepts POST requests with no authentication. Use webhook triggers for forms, CI hooks, or Zapier integrations. Poll execution status separately with your API key.

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Andrew Adams

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.

Content StrategyClient Operations

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.

Explore the API