PromptGPT API Reference (v1)

import os, requests
from openai import OpenAI

PROMPTGPT_KEY = os.getenv("PROMPTGPT_API_KEY")
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

def enhance_prompt(query: str, target: str = "chatgpt") -> str:
    try:
        res = requests.post(
            "https://promptgpt.io/api/v1/prompts/optimize",
            headers={"Authorization": f"Bearer {PROMPTGPT_KEY}"},
            json={"prompt": query, "target_model": target},
            timeout=4
        )
        if res.status_code == 200:
            return res.json()["data"]["optimized_prompt"]
    except Exception as e:
        print(f"Fallback: {e}")
    return query  # Fallback gracefully

# Drop-in usage before calling OpenAI:
user_input = "write an executive summary for SaaS pitch deck"
optimized = enhance_prompt(user_input)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": optimized}]
)
print(response.choices[0].message.content)

import OpenAI from "openai";

const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });

export async function optimizePrompt(prompt: string, targetModel = "chatgpt"): Promise {
  try {
    const res = await fetch("https://promptgpt.io/api/v1/prompts/optimize", {
      method: "POST",
      headers: {
        "Authorization": `Bearer ${process.env.PROMPTGPT_API_KEY}`,
        "Content-Type": "application/json"
      },
      body: JSON.stringify({ prompt, target_model: targetModel })
    });
    const data = await res.json();
    if (data.success && data.data?.optimized_prompt) {
      return data.data.optimized_prompt;
    }
  } catch (err) {
    console.warn("PromptGPT fallback active:", err);
  }
  return prompt; // Safe fallback
}

// Seamless 1-line integration:
const rawInput = "Build a high converting landing page for dental clinic";
const enhancedInput = await optimizePrompt(rawInput);

const completion = await openai.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: enhancedInput }]
});

openapi: 3.0.0
info:
  title: PromptGPT Optimization API
  description: Optimize raw user prompts into professional AI prompts.
  version: 1.0.0
servers:
  - url: https://promptgpt.io/api/v1
paths:
  /prompts/optimize:
    post:
      operationId: optimizePrompt
      summary: Optimize a prompt with expert frameworks
      security:
        - BearerAuth: []
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
                - prompt
              properties:
                prompt:
                  type: string
                  description: The raw prompt to improve.
                target_model:
                  type: string
                  enum: [chatgpt, claude, gemini, midjourney, flux, universal]
                  default: chatgpt
      responses:
        '200':
          description: Successfully optimized prompt
components:
  securitySchemes:
    BearerAuth:
      type: http
      scheme: bearer

You are PromptMaster AI, powered by PromptGPT.io API. 

Workflow:
1. Whenever the user provides any question, task, coding request, or raw prompt, invoke the optimizePrompt action with target_model="chatgpt" (or the user's requested model).
2. Output the resulting enhanced prompt inside a prominent markdown code block for easy 1-click copying.
3. Highlight 2-3 specific improvements applied (e.g., explicit role framing, few-shot constraints, negative exclusions).
4. Invite the user to test the enhanced prompt or ask for variations.