AI Write to File: Intelligent File Generation at Scale

import { OpenAI } from 'openai';

const client = new OpenAI({
  apiKey: 'your-api-key',
  baseURL: 'https://api.morphllm.com/v1'
});

// Generate a new React component
const response = await client.chat.completions.create({
  model: "morph-v3-large",
  messages: [
    {
      role: "user",
      content: `<instruction>Create a React component for a user profile card</instruction>
<requirements>
- TypeScript with proper types
- Styled with Tailwind CSS
- Include avatar, name, bio, and social links
- Mobile responsive
- Follow React best practices
</requirements>`
    }
  ]
});

// Write the generated component to file
await fs.writeFile('UserProfileCard.tsx', response.choices[0].message.content);

import openai

client = openai.OpenAI(
    api_key="your-api-key",
    base_url="https://api.morphllm.com/v1"
)

def generate_test_file(function_code: str, function_name: str):
    response = client.chat.completions.create(
        model="morph-v3-large",
        messages=[
            {
                "role": "user",
                "content": f"""<instruction>Generate comprehensive unit tests</instruction>
<function>{function_code}</function>
<requirements>
- Use pytest framework
- Include edge cases
- Test error handling
- Add fixtures where appropriate
- Follow AAA pattern (Arrange, Act, Assert)
</requirements>"""
            }
        ]
    )
    
    # Save the generated tests
    with open(f'test_{function_name}.py', 'w') as f:
        f.write(response.choices[0].message.content)

curl -X POST "https://api.morphllm.com/v1/chat/completions" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "morph-v3-large",
    "messages": [
      {
        "role": "user",
        "content": "<instruction>Generate API documentation</instruction>\n<api_endpoint>POST /api/users</api_endpoint>\n<requirements>OpenAPI 3.0 format, include examples</requirements>"
      }
    ]
  }' > api-docs.yaml