Backend implementation
Build the REST API that FlowDrop expects to communicate with.
FlowDrop is a frontend editor that calls your backend REST API. This guide explains what endpoints to implement, what request/response formats FlowDrop expects, and how to get a working backend running.
Endpoint Tiers
Not all endpoints are required. Here they are organized by priority:
Tier 1: Minimum Viable Backend
These 5 endpoints are the bare minimum to get FlowDrop working:
| Method | Path | Purpose |
|---|---|---|
GET | /health | Health check (FlowDrop checks this on mount) |
GET | /nodes | List available node types |
GET | /workflows/:id | Load a workflow |
POST | /workflows | Create a new workflow |
PUT | /workflows/:id | Update an existing workflow |
Tier 2: Full Editor Experience
These endpoints enable the complete sidebar, categories, and port validation:
| Method | Path | Purpose |
|---|---|---|
GET | /categories | Node category definitions (sidebar groups) |
GET | /port-config | Port data types and compatibility rules |
GET | /nodes/:id | Get a single node's metadata |
GET | /workflows | List all workflows |
DELETE | /workflows/:id | Delete a workflow |
Tier 3: Advanced Features
These enable playground, execution, and interrupts:
| Method | Path | Purpose |
|---|---|---|
POST | /workflows/:id/execute | Execute a workflow |
GET | /executions/:id | Get execution status |
POST | /workflows/:id/playground/sessions | Create playground session |
GET | /playground/sessions/:sid/messages | Poll for messages |
POST | /playground/sessions/:sid/messages | Send user message |
GET | /interrupts/:id | Get pending interrupt |
POST | /interrupts/:id | Resolve an interrupt |
GET | /system/config | Runtime configuration |
The OpenAPI spec is the authoritative contract. The Tier 1–2 shapes are documented in full below, the Tier 3 shapes under Advanced endpoint formats. For the exhaustive schema, see the OpenAPI specification.
Base URL Configuration
All paths above are relative to a base URL you configure:
import { createEndpointConfig } from '@flowdrop/flowdrop/core';
const endpointConfig = createEndpointConfig('/api/flowdrop');
// Nodes endpoint becomes: GET /api/flowdrop/nodesRequest & Response Formats
GET /health
FlowDrop calls this to verify the backend is reachable.
Response:
{
"status": "ok",
"version": "1.0.0"
}GET /nodes
Returns all available node types. FlowDrop uses this to populate the sidebar.
Query parameters:
category(optional) — filter by categorysearch(optional) — search name/descriptionlimit(optional, default: 100)offset(optional, default: 0)
Response:
{
"success": true,
"data": [
{
"node_type_id": "text_input",
"name": "Text Input",
"description": "Accepts text from the user",
"type": "simple",
"category": "inputs",
"icon": "mdi:text-box-outline",
"inputs": [],
"outputs": [
{
"id": "output",
"name": "Text",
"type": "output",
"dataType": "string"
}
],
"configSchema": {
"type": "object",
"properties": {
"placeholder": {
"type": "string",
"title": "Placeholder",
"default": "Enter text..."
}
}
}
}
]
}Key fields in NodeMetadata:
node_type_id(required) — unique node-type identifiername(required) — display nametype— node visual type:workflowNode,simple,square,tool,gateway,terminal,idea,notecategory— sidebar group:inputs,outputs,models,processing,logic,tools, etc.icon— Iconify icon ID (e.g.,mdi:text-box-outline)inputs/outputs— port definitions withid,name,type,dataTypeconfigSchema— JSON Schema defining the configuration form
POST /workflows
Creates a new workflow. FlowDrop sends the full workflow JSON.
Request body:
{
"name": "My Workflow",
"description": "A simple workflow",
"nodes": [
{
"id": "node-1",
"type": "simple",
"position": { "x": 100, "y": 200 },
"data": {
"label": "Text Input",
"config": { "placeholder": "Enter text..." },
"metadata": { "node_type_id": "text_input", "name": "Text Input", "...": "..." }
}
}
],
"edges": [
{
"id": "edge-1",
"source": "node-1",
"sourceHandle": "output",
"target": "node-2",
"targetHandle": "input"
}
]
}Response:
{
"success": true,
"data": {
"id": "wf-abc123",
"name": "My Workflow",
"nodes": [],
"edges": [],
"metadata": {
"schemaVersion": "1.0.0",
"createdAt": "2025-01-01T00:00:00Z",
"updatedAt": "2025-01-01T00:00:00Z"
}
}
}PUT /workflows/:id
Updates an existing workflow. Same request body format as POST.
GET /workflows/:id
Returns a single workflow by ID. Same response format as POST response.
GET /categories
Returns category definitions for the node sidebar.
Response:
{
"success": true,
"data": [
{
"id": "inputs",
"name": "Inputs",
"description": "Data input nodes",
"icon": "mdi:import",
"color": "var(--fd-node-emerald)",
"weight": 10
},
{
"id": "processing",
"name": "Processing",
"description": "Data transformation nodes",
"icon": "mdi:cog",
"color": "var(--fd-node-blue)",
"weight": 30
}
]
}GET /port-config
Returns data type definitions and compatibility rules for port connections.
Response:
{
"success": true,
"data": {
"version": "1.0.0",
"defaultDataType": "string",
"dataTypes": [
{
"id": "string",
"name": "String",
"description": "Text data",
"color": "#10b981",
"category": "basic"
},
{
"id": "json",
"name": "JSON",
"description": "Structured data",
"color": "#f59e0b",
"category": "complex"
}
],
"compatibilityRules": [
{ "from": "string", "to": "json" },
{ "from": "json", "to": "string" }
]
}
}Advanced endpoint formats (Tier 3)
These power execution, the interactive playground, and human-in-the-loop
interrupts. They use the same { "success": true, "data": ... } envelope as
Tier 1–2 unless noted.
POST /workflows/:id/execute
Starts a run. The body is optional.
Request:
{
"inputs": { "text_input": "Hello" },
"options": { "timeout": 30000, "maxSteps": 50 }
}Response (202 Accepted):
{
"success": true,
"data": {
"execution_id": "exec-abc123",
"status": "running",
"started_at": "2025-01-01T00:00:00Z",
"estimated_completion": "2025-01-01T00:00:05Z"
}
}GET /executions/:id
Poll for execution status using the execution_id returned above.
This endpoint returns the status object directly — no success/data
envelope. It is the one exception to the response wrapper.
Response:
{
"status": "completed",
"jobs": [],
"node_statuses": {
"node-1": { "status": "completed" }
},
"job_status_summary": {}
}status is one of pending, running, completed, failed, cancelled,
paused, interrupted. The playground's isTerminalStatus and
shouldStopPolling callbacks key off these values.
POST /workflows/:id/playground/sessions
Create an isolated test session for a workflow. The body is optional.
Request:
{ "name": "Test Session 1" }Response (201):
{
"success": true,
"data": {
"id": "sess-abc123",
"workflowId": "wf-abc123",
"name": "Test Session 1",
"status": "idle",
"createdAt": "2025-01-01T00:00:00Z",
"updatedAt": "2025-01-01T00:00:00Z"
}
}status is one of idle, running, awaiting_input, completed, failed.
POST /playground/sessions/:sid/messages
Send a user message — this triggers a run. The message is created with status
pending and processed asynchronously; poll the messages endpoint to track it.
Request:
{
"content": "Process this file",
"inputs": { "file_path": "/data/input.csv" }
}Response (200):
{
"success": true,
"data": {
"id": "msg-1",
"sessionId": "sess-abc123",
"role": "user",
"content": "Process this file",
"status": "pending",
"sequenceNumber": 1,
"timestamp": "2025-01-01T00:00:00Z"
}
}Returns 409 if the previous message in the session is still processing —
messages are handled in sequence.
GET /playground/sessions/:sid/messages
Poll for new messages. Supports since, latest, and before query parameters
for pagination.
Response:
{
"success": true,
"data": [
{
"id": "msg-2",
"sessionId": "sess-abc123",
"role": "assistant",
"content": "Done — processed 42 rows.",
"status": "completed",
"sequenceNumber": 2,
"timestamp": "2025-01-01T00:00:03Z"
}
],
"hasMore": false,
"sessionStatus": "completed"
}role is user, assistant, system, or log. sessionStatus tells the
poller when to stop.
GET /interrupts/:id
Fetch a pending human-in-the-loop interrupt.
Response:
{
"success": true,
"data": {
"id": "int-abc123",
"type": "confirmation",
"status": "pending",
"nodeId": "node-3",
"executionId": "exec-abc123",
"allowCancel": true,
"config": {
"message": "Do you approve this action?",
"confirm_label": "Approve",
"cancel_label": "Reject"
},
"createdAt": "2025-01-01T00:00:00Z"
}
}type is confirmation, choice, text, form, or review; status is
pending, resolved, or cancelled.
POST /interrupts/:id
Resolve an interrupt by submitting the user's response. The value type depends
on the interrupt type.
Request:
{ "value": true }Interrupt type | value shape |
|---|---|
confirmation | boolean |
choice | string or string[] |
text | string |
form | object matching the form schema |
review | decisions map + summary |
Response: the updated interrupt (same shape as GET /interrupts/:id, now
with status: "resolved").
GET /system/config
Public runtime configuration the editor reads on mount.
Response:
{
"success": true,
"data": {
"version": "1.0.0",
"features": { "playground": true, "interrupts": true },
"limits": { "maxWorkflowNodes": 100, "maxConcurrentExecutions": 5 }
}
}CORS Configuration
FlowDrop runs in the browser, so your backend must allow cross-origin requests if served from a different domain:
// Express example
import cors from 'cors';
app.use(
cors({
origin: 'http://localhost:5173', // your frontend URL
methods: ['GET', 'POST', 'PUT', 'DELETE'],
allowedHeaders: ['Content-Type', 'Authorization']
})
);Error Response Format
When an operation fails, return a consistent error format:
{
"success": false,
"error": "Workflow not found",
"code": "NOT_FOUND",
"message": "No workflow exists with ID 'wf-xyz'"
}FlowDrop's API client expects standard HTTP status codes:
200— success201— created400— bad request (validation error)401— unauthorized (triggersonApiErrorand auth provider'sonUnauthorized)404— not found500— server error
Static vs. Dynamic Node Serving
For simple use cases, you can serve node metadata as static JSON:
// nodes.json — serve as a static file
const nodes = [
{ id: 'text_input', name: 'Text Input', ... },
{ id: 'http_request', name: 'HTTP Request', ... }
];
app.get('/api/flowdrop/nodes', (req, res) => {
res.json({ success: true, data: nodes });
});For dynamic use cases, load from a database:
app.get('/api/flowdrop/nodes', async (req, res) => {
const nodes = await db
.collection('nodes')
.find({
...(req.query.category && { category: req.query.category })
})
.toArray();
res.json({ success: true, data: nodes });
});Verify your backend (conformance checklist)
FlowDrop exercises your API in a predictable order on mount. Run these requests
against your base URL to confirm the contract before wiring up the editor —
they mirror exactly what the editor does. Replace the BASE value with your own.
BASE=http://localhost:3001/api/flowdrop
# 1. Health — FlowDrop checks this first on mount
curl -s $BASE/health
# 2. Nodes — populates the sidebar
curl -s $BASE/nodes
# 3. Categories — sidebar groups
curl -s $BASE/categories
# 4. Port config — connection compatibility rules
curl -s $BASE/port-config
# 5. Create a workflow (note the returned id)
curl -s -X POST $BASE/workflows \
-H 'Content-Type: application/json' \
-d '{"name":"Smoke test","nodes":[],"edges":[]}'
# 6. Load it back (use the id from step 5)
curl -s $BASE/workflows/<id>
# 7. Update it
curl -s -X PUT $BASE/workflows/<id> \
-H 'Content-Type: application/json' \
-d '{"name":"Smoke test (edited)","nodes":[],"edges":[]}'Your backend conforms when:
-
GET /healthreturns200with{ "status": "ok" } - Every response uses the
{ "success": true, "data": ... }envelope (the one exception isGET /executions/:id) -
GET /nodesdata items include at leastid,name,type, andcategory - Workflow
metadatauses the exact field namesschemaVersion,createdAt,updatedAt(notcreated_at/updated_at) -
POST /workflowsreturns201and echoes a server-assignedid - Errors return the correct HTTP status (
404missing,401unauthorized) with{ "success": false, "error": ... } - CORS allows your frontend origin if the backend runs on a different domain
If all seven calls succeed and the checklist passes, mounting the editor against this base URL will load nodes into the sidebar and let you create, edit, and save workflows.
Next Steps
- Backend: Express.js — get a working backend in 15 minutes
- Framework Integration — connect FlowDrop to your backend
- API Overview — complete module and endpoint reference
- OpenAPI Specification — full API contract