Thanks to visit codestin.com
Credit goes to docs.nodetool.ai

NodeTool exposes workflow endpoints in two places:

  • The Editor API (nodetool serve) uses /api/workflows for CRUD and query operations backing the local app.
  • The Server API (nodetool serve --mode private) uses /workflows and /workflows/{id}/run for deployed workflow execution.

This page collects the basics from the project README. See API Reference for the canonical endpoint matrix and auth requirements. When AUTH_PROVIDER is static or supabase, include Authorization: Bearer <token>; tokens are optional only in local/none modes.

Loading Workflows

const response = await fetch("http://localhost:7777/api/workflows/");
const workflows = await response.json();

Running a Workflow

HTTP API

curl -X POST "http://localhost:7777/api/workflows/<workflow_id>/run" \
-H "Authorization: Bearer YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{
    "params": {
        "param_name": "param_value"
    }
}'
const response = await fetch(
  "http://localhost:7777/api/workflows/<workflow_id>/run",
  {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      "Authorization": "Bearer YOUR_TOKEN",
    },
    body: JSON.stringify({
      params: params,
    }),
  }
);

const outputs = await response.json();
// outputs is an object with one property for each output node in the workflow
// the value is the output of the node, which can be a string, image, audio, etc.

Streaming API

The streaming API provides real-time job updates. See the WebSocket runner in workflow_runner/js/workflow-runner.js for a complete example used by the bundled runner UI (../workflow_runner/index.html). On deployed servers, use /workflows/{id}/run/stream for SSE streaming; on the Editor API, prefer the WebSocket /predict endpoint for long-running jobs.

Updates include:

  • job_update – overall job status
  • node_update – status of a specific node
  • node_progress – progress of a node
const response = await fetch(
  "http://localhost:7777/api/workflows/<workflow_id>/run?stream=true",
  {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      "Authorization": "Bearer YOUR_TOKEN",
    },
    body: JSON.stringify({
      params: params,
    }),
  }
);

const reader = response.body.getReader();
const decoder = new TextDecoder();

while (true) {
  const { done, value } = await reader.read();
  if (done) break;

  const lines = decoder.decode(value).split("\n");
  for (const line of lines) {
    if (line.trim() === "") continue;

    const message = JSON.parse(line);
    switch (message.type) {
      case "job_update":
        console.log("Job status:", message.status);
        if (message.status === "completed") {
          console.log("Workflow completed:", message.result);
        }
        break;
      case "node_progress":
        console.log(
          "Node progress:",
          message.node_name,
          (message.progress / message.total) * 100
        );
        break;
      case "node_update":
        console.log(
          "Node update:",
          message.node_name,
          message.status,
          message.error
        );
        break;
    }
  }
}

WebSocket API

For real-time streaming and job control over WebSocket, see the dedicated WebSocket API page.

API Demo

  • Download the HTML file
  • Open it in a browser locally.
  • Select the endpoint (local or api.nodetool.ai for alpha users).
  • Enter an API token from the NodeTool settings dialog.
  • Select a workflow and run it.