How to Use Picsart OpenAPI YAML in Cursor to Generate Integration Code

Picsart publishes product‑scoped OpenAPI descriptions, making them ideal for machine‑assisted code generation.

Why OpenAPI YAML + Cursor

• Machine‑readable contracts: The assistant can see endpoints, parameters, schemas, and examples directly from YAML.
• Rapid code generation: Produce clients, request builders, tests, and documentation stubs that match the spec.
• Consistent integrations: Keep your code aligned with the latest Picsart API definitions and reference.

What You’ll Need

• A Picsart API key and the authentication header (X-Picsart-API-Key).
• The OpenAPI YAML for your product area (Programmable Image, Programmable Video, GenAI, or Variable Data Content).
• Cursor installed.

Setting Up OpenAPI YAML with Cursor

Step 1: Download the OpenAPI description

From the OpenAPI Description page, choose the YAML for your product and save it into your repo (for example, ./apis/picsart-image.yaml).

mkdir -p ./apis

# Save the appropriate YAML as ./apis/picsart-image.yaml

👉

TIP: Picsart ships bundled OpenAPI so you can keep a single file per product with shared components via $ref.

Step 2: Add the YAML to a Cursor chat

Open a new chat in Cursor and attach the YAML (or reference the file path). Give the assistant quick context - for example, your language, framework, and the endpoint you want to call first.

Example prompt ideas

• “Read ./apis/picsart-image.yaml and generate a TypeScript client with request/response types for Remove Background.”
• “From ./apis/picsart-video.yaml, create a Python script that uploads a clip and polls for result.”
• “Using ./apis/picsart-genai.yaml, scaffold a Java service method with retries and timeouts for Text2Image.”

(Endpoint names and options are available in the API Reference.)

Step 3: Generate typed clients and usage examples

Ask Cursor to create:

• A minimal client (functions per operationId)
• Input validation based on schema constraints
• Unit tests with mocked responses

If you prefer generators, ask the assistant to configure your build with an OpenAPI generator and map packages (API/model) accordingly - similar to the Spring Boot guide’s approach.

Step 4: Configure authentication

Add your key to the environment and include the X-Picsart-API-Key header in requests.

import fetch from "node-fetch";

async function checkBalance() {
  const res = await fetch("https://api.picsart.io/tools/1.0/balance", {
    headers: { "x-picsart-api-key": process.env.PICSART_API_KEY }
  });
  if (!res.ok) throw new Error(`HTTP ${res.status}`);
  return res.json();
}



checkBalance().then(console.log).catch(console.error);

The balance endpoint is a quick way to validate credentials.

Step 5: Verify the integration

curl "https://api.picsart.io/tools/1.0/balance" \
  -H "x-picsart-api-key: $PICSART_API_KEY"

A successful response confirms your key and client wiring are correct.

Best Practices

• Keep YAML current: Refresh your local YAML when the API evolves.
• Scope early: Start with one or two operations (e.g., Remove Background) before broadening coverage.
• Leverage generators: If you need interface‑only or model‑only builds, mirror the patterns from the Spring Boot tutorial.