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Add comprehensive guides for AI integration and Microsoft 365 Copilot shortcuts
- Introduced a new guide on JavaScript Frontend AI Integration with error handling and UI feedback. - Added advanced techniques for Microsoft 365 Copilot, focusing on power user strategies and troubleshooting. - Created a guide for Microsoft 365 Copilot shortcuts specifically for Excel and PowerPoint to enhance productivity. - Updated the Microsoft 365 Copilot shortcuts overview to provide a structured approach for mastering commands across all apps. - Added new guides for Microsoft 365 Copilot shortcuts in Teams and Word/Outlook to streamline collaboration and document management. - Enhanced the multi-language AI development guide with links to specific implementation guides for C#, JavaScript, PowerShell, and AI service configuration. - Introduced a PowerShell guide for automating Azure AI deployments, emphasizing error handling and resource management best practices.
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.github/copilot-instructions.md

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- Use Philadelphia-themed examples and case studies
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- Include local tech community resources
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- Consider Philly color schemes (eagles green, phillies red, etc.)
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- In content, don't refer to the Philly Dev Community, just refer to the 'Tech Community'
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## Development Workflow
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---
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title: "AI Service Configuration Best Practices"
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category: "Development"
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tags: ["configuration", "json", "best-practices", "security"]
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difficulty: "Intermediate"
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author: "Copilot That Jawn Team"
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publishedDate: "2025-06-07"
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lastModified: "2025-06-07"
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description: "Learn best practices for configuring AI services with proper settings management and security considerations."
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---
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# AI Service Configuration Best Practices
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This guide demonstrates best practices for configuring AI services, including proper settings management, security considerations, and performance optimization.
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## Configuration Example
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```json
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{
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"AzureOpenAI": {
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"Endpoint": "https://your-openai-service.openai.azure.com/",
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"ApiKey": "your-api-key-here",
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"ApiVersion": "2023-12-01-preview",
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"Models": {
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"Gpt35Turbo": "gpt-35-turbo",
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"Gpt4": "gpt-4",
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"TextEmbedding": "text-embedding-ada-002"
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},
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"DefaultSettings": {
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"MaxTokens": 1000,
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"Temperature": 0.7,
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"TopP": 0.95,
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"FrequencyPenalty": 0,
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"PresencePenalty": 0
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}
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},
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"Logging": {
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"LogLevel": {
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"Default": "Information",
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"Microsoft.AspNetCore": "Warning",
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"Azure.AI.OpenAI": "Debug"
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}
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},
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"ContentSettings": {
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"CacheExpiryMinutes": 5,
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"MaxContentLength": 10000,
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"SupportedLanguages": ["csharp", "javascript", "python", "powershell", "json", "yaml"],
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"SyntaxHighlighting": {
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"Theme": "dark",
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"ShowLineNumbers": true,
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"CopyButtonEnabled": true
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}
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},
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"RateLimiting": {
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"RequestsPerMinute": 60,
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"RequestsPerHour": 1000,
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"BurstLimit": 10
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}
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}
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```
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## Key Features
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1. **Structured Organization**: Logically grouped configuration settings
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2. **Environment Variables**: Placeholders for sensitive information
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3. **Logging Configuration**: Detailed logging level settings
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4. **Performance Settings**: Cache and rate limiting configurations
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5. **Feature Toggles**: Enable/disable specific features
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## Best Practices
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1. **Security**
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- Never commit API keys to source control
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- Use environment variables or secure vaults for sensitive data
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- Implement proper access controls
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2. **Organization**
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- Group related settings together
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- Use descriptive names for settings
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- Include comments for complex configurations
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3. **Performance**
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- Configure appropriate cache settings
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- Implement rate limiting
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- Set reasonable timeouts
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4. **Monitoring**
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- Configure proper logging levels
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- Enable telemetry where needed
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- Track usage metrics
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5. **Maintenance**
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- Keep API versions up to date
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- Document all configuration options
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- Include default values for optional settings

Content/Tips/azure-ai-services-getting-started.md

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