llmtornado-tutorial-generator

Tutorial Generation Workflow

Copy this checklist and track your progress:

LlmTornado Tutorial Generation Progress:
- [ ] Step 1: Identify tutorial topic and scope
- [ ] Step 2: Structure tutorial outline
- [ ] Step 3: Generate code examples
- [ ] Step 4: Add explanations and best practices
- [ ] Step 5: Format for Medium publication
- [ ] Step 6: Save to local file

Step 1: Identify tutorial topic and scope

Determine the specific aspect of LlmTornado API to cover:

• Basic setup and authentication
• Specific API endpoints (chat completions, embeddings, etc.)
• Advanced features (streaming, function calling, etc.)
• Integration patterns
• Error handling and best practices
• Performance optimization

Ask the user if a specific topic isn't provided:

• What LlmTornado API feature should be covered?
• What's the target audience level (beginner, intermediate, advanced)?
• Are there specific use cases to demonstrate?

Step 2: Structure tutorial outline

Create a comprehensive outline following Medium best practices:

Standard Structure:

1. Title - Catchy and SEO-friendly
2. Introduction - Hook and overview (2-3 paragraphs)
3. Prerequisites - Required knowledge and tools
4. Setup Section - Installation and configuration
5. Core Concepts - Theory and explanation
6. Hands-on Examples - Step-by-step code demonstrations
7. Best Practices - Tips and recommendations
8. Common Pitfalls - What to avoid
9. Conclusion - Summary and next steps
10. Resources - Links and references

Step 3: Generate code examples

Create working, production-ready code examples:

Code Example Guidelines:

• Use proper code formatting with language tags
• Include comments explaining each section
• Show both synchronous and async patterns where applicable
• Demonstrate error handling
• Use realistic use cases
• Keep examples concise but complete
• Include expected output or responses

Example Code Block Format for Medium:

# Description of what this code does
import llmtornado

# Initialize the client
client = llmtornado.Client(api_key="your_api_key")

# Your implementation here