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OpenAI API for Antigravity Apps

OpenAI API for Antigravity Apps

Integrate OpenAI APIs with Google Antigravity applications including streaming chat completions and embeddings

OpenAIAIChatAPILLM
by Antigravity Team
⭐0Stars
.antigravity
# OpenAI API for Google Antigravity Apps

AI capabilities enhance modern applications. This guide establishes patterns for integrating OpenAI APIs with Google Antigravity projects.

## Basic Chat Completion

```typescript
import OpenAI from "openai";

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

export async function generateCompletion(prompt: string): Promise<string> {
  const response = await openai.chat.completions.create({
    model: "gpt-4-turbo-preview",
    messages: [{ role: "user", content: prompt }],
    max_tokens: 1000,
  });
  return response.choices[0]?.message?.content || "";
}
```

## Streaming Response

```typescript
import OpenAI from "openai";
import { OpenAIStream, StreamingTextResponse } from "ai";

export async function POST(req: Request) {
  const { messages } = await req.json();
  const response = await openai.chat.completions.create({
    model: "gpt-4-turbo-preview",
    messages,
    stream: true,
  });
  const stream = OpenAIStream(response);
  return new StreamingTextResponse(stream);
}
```

## Client-Side Chat

```typescript
"use client";
import { useChat } from "ai/react";

export function ChatInterface() {
  const { messages, input, handleInputChange, handleSubmit } = useChat();
  return (
    <div>
      {messages.map((m) => <div key={m.id}>{m.content}</div>)}
      <form onSubmit={handleSubmit}>
        <input value={input} onChange={handleInputChange} />
        <button type="submit">Send</button>
      </form>
    </div>
  );
}
```

## Best Practices

1. **Stream responses**: Better UX for long generations
2. **Error handling**: Handle rate limits
3. **Token management**: Track usage
4. **Caching**: Cache repeated queries
5. **Security**: Never expose API keys

When to Use This Prompt

This OpenAI prompt is ideal for developers working on:

  • OpenAI applications requiring modern best practices and optimal performance
  • Projects that need production-ready OpenAI code with proper error handling
  • Teams looking to standardize their openai development workflow
  • Developers wanting to learn industry-standard OpenAI patterns and techniques

By using this prompt, you can save hours of manual coding and ensure best practices are followed from the start. It's particularly valuable for teams looking to maintain consistency across their openai implementations.

How to Use

  1. Copy the prompt - Click the copy button above to copy the entire prompt to your clipboard
  2. Paste into your AI assistant - Use with Claude, ChatGPT, Cursor, or any AI coding tool
  3. Customize as needed - Adjust the prompt based on your specific requirements
  4. Review the output - Always review generated code for security and correctness
💡 Pro Tip: For best results, provide context about your project structure and any specific constraints or preferences you have.

Best Practices

  • ✓ Always review generated code for security vulnerabilities before deploying
  • ✓ Test the OpenAI code in a development environment first
  • ✓ Customize the prompt output to match your project's coding standards
  • ✓ Keep your AI assistant's context window in mind for complex requirements
  • ✓ Version control your prompts alongside your code for reproducibility

Frequently Asked Questions

Can I use this OpenAI prompt commercially?

Yes! All prompts on Antigravity AI Directory are free to use for both personal and commercial projects. No attribution required, though it's always appreciated.

Which AI assistants work best with this prompt?

This prompt works excellently with Claude, ChatGPT, Cursor, GitHub Copilot, and other modern AI coding assistants. For best results, use models with large context windows.

How do I customize this prompt for my specific needs?

You can modify the prompt by adding specific requirements, constraints, or preferences. For OpenAI projects, consider mentioning your framework version, coding style, and any specific libraries you're using.

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