Pomera AI Commander

# Appendices > Version history, glossary, and additional reference material. --- ## Appendices ### Appendix A: Complete Tool Reference #### Quick Reference Table | Tool Name | Category | Primary Function | Key Features | |-----------|----------|------------------|--------------| | Case Tool | Text Transformation | Case conversion | 5 modes, exclusions, sentence detection | | Find & Replace Text | Text Transformation | Pattern replacement | Regex, pattern library, history | | Alphabetical Sorter | Text Transformation | Line sorting | Ascending/descending, unique, trim | | Number Sorter | Text Transformation | Numerical sorting | Integer/float support, error handling | | Line Tools | Text Transformation | Line manipulation | Remove duplicates, empty lines, numbers, reverse, shuffle | | Whitespace Tools | Text Transformation | Whitespace manipulation | Trim, remove spaces, tabs conversion, line endings | | Text Wrapper | Text Transformation | Text formatting | Word wrap, justify, prefix/suffix, indent, quote | | Markdown Tools | Text Transformation | Markdown processing | Strip markdown, extract links/headers, table conversion | | AI Tools | AI Integration | Multi-provider AI | 11 providers, model selection, parameters | | Extraction Tools | Data Extraction | Unified extraction | Email, HTML, Regex, URL extraction in tabs | | Email Header Analyzer | Data Extraction | Header analysis | Routing, authentication, security | | Base64 Encoder/Decoder | Encoding/Decoding | Base64 conversion | Bidirectional, UTF-8 support | | Binary Code Translator | Encoding/Decoding | Binary conversion | Auto-detection, 8-bit format | | Morse Code Translator | Encoding/Decoding | Morse conversion | Audio support, complete character set | | String Escape Tool | Encoding/Decoding | String escaping | JSON, HTML, URL, XML, JavaScript, SQL formats | | Number Base Converter | Encoding/Decoding | Base conversion | Binary, octal, decimal, hex, ASCII codes | | Diff Viewer | Analysis & Comparison | Text comparison | Side-by-side, multiple algorithms | | Text Statistics | Analysis & Comparison | Statistical analysis | Comprehensive stats, word frequency, reading time | | Column Tools | Analysis & Comparison | CSV manipulation | Extract, reorder, delete columns, transpose | | Generator Tools | Utility | Data generation | 8 generators: passwords, UUIDs, Lorem Ipsum, ASCII art, hashes, slugs | | Strong Password Generator | Utility | Password creation | Configurable, secure, compliance | | URL Parser | Utility | URL analysis | Component breakdown, validation | | Repeating Text Generator | Utility | Text repetition | Custom separators, pattern creation | #### TextProcessor Method Reference | Method | Parameters | Return Type | Description | |--------|------------|-------------|-------------| | `sentence_case(text)` | text: str | str | Converts to sentence case | | `title_case(text, exclusions)` | text: str, exclusions: str | str | Title case with exclusions | | `morse_translator(text, mode, morse_dict, reversed_morse_dict)` | text: str, mode: str, dicts | str | Morse code conversion | | `binary_translator(text)` | text: str | str | Binary conversion | | `base64_processor(text, mode)` | text: str, mode: str | str | Base64 encoding/decoding | | `number_sorter(text, order)` | text: str, order: str | str | Numerical sorting | | `extract_emails_advanced(text, omit_duplicates, hide_counts, sort_emails, only_domain)` | text: str, options: bool | str | Advanced email extraction | | `analyze_email_headers(text)` | text: str | str | Email header analysis | | `extract_urls(text, extract_href, extract_https, extract_any_protocol, extract_markdown, filter_text)` | text: str, options: bool, filter: str | str | URL extraction | | `repeating_text(text, times, separator)` | text: str, times: int, separator: str | str | Text repetition | | `alphabetical_sorter(text, order, unique_only, trim)` | text: str, order: str, options: bool | str | Alphabetical sorting | | `word_frequency(text)` | text: str | str | Word frequency analysis | | `strong_password(length, numbers, symbols)` | length: int, numbers: str, symbols: str | str | Password generation | ### Appendix B: AI Provider Details #### Supported AI Providers ##### Google AI (Gemini) - **Models**: gemini-1.5-pro-latest, gemini-1.5-flash-latest, gemini-1.0-pro - **API Endpoint**: https://generativelanguage.googleapis.com/v1beta/models/ - **Key Parameters**: temperature, topK, topP, candidateCount, maxOutputTokens - **Strengths**: Multimodal capabilities, large context window - **Use Cases**: Complex reasoning, code generation, analysis ##### Vertex AI (Gemini) - **Models**: gemini-2.5-flash, gemini-2.5-pro - **API Endpoint**: https://{location}-aiplatform.googleapis.com/v1/projects/{project_id}/locations/{location}/publishers/google/models/ - **Authentication**: Service account JSON file (OAuth2) - **Key Parameters**: temperature, topK, topP, candidateCount, maxOutputTokens (same as Google AI) - **Strengths**: Enterprise-grade authentication, regional deployment, billing control - **Use Cases**: Enterprise deployments, production workloads, same as Google AI but with enterprise security ##### Anthropic AI (Claude) - **Models**: claude-3-5-sonnet-20240620, claude-3-opus-20240229, claude-3-sonnet-20240229, claude-3-haiku-20240307 - **API Endpoint**: https://api.anthropic.com/v1/messages - **Key Parameters**: max_tokens, temperature, top_p, top_k - **Strengths**: Safety, reasoning, long-form content - **Use Cases**: Writing, analysis, research, safety-critical applications ##### OpenAI (GPT) - **Models**: gpt-4o, gpt-4-turbo, gpt-3.5-turbo, gpt-4o-mini - **API Endpoint**: https://api.openai.com/v1/chat/completions - **Key Parameters**: temperature, max_tokens, top_p, frequency_penalty, presence_penalty - **Strengths**: General purpose, well-documented, reliable - **Use Cases**: General text processing, coding, creative writing ##### Cohere AI (Command) - **Models**: command-r-plus, command-r, command, command-light - **API Endpoint**: https://api.cohere.com/v1/chat - **Key Parameters**: temperature, max_tokens, k, p, frequency_penalty, presence_penalty - **Strengths**: Enterprise focus, retrieval augmented generation - **Use Cases**: Business applications, search, summarization ##### HuggingFace AI - **Models**: meta-llama/Meta-Llama-3-8B-Instruct, mistralai/Mistral-7B-Instruct-v0.2, google/gemma-7b-it - **Implementation**: HuggingFace Inference API - **Key Parameters**: max_tokens, temperature, top_p - **Strengths**: Open source models, research access - **Use Cases**: Research, experimentation, specialized models ##### Groq AI - **Models**: llama3-70b-8192, mixtral-8x7b-32768, gemma2-9b-it - **API Endpoint**: https://api.groq.com/openai/v1/chat/completions - **Key Parameters**: temperature, max_tokens, top_p, frequency_penalty, presence_penalty - **Strengths**: High-speed inference, low latency - **Use Cases**: Real-time applications, high-throughput processing ##### OpenRouter AI - **Models**: anthropic/claude-3.5-sonnet, google/gemini-flash-1.5:free, meta-llama/llama-3-8b-instruct:free, openai/gpt-4o-mini - **API Endpoint**: https://openrouter.ai/api/v1/chat/completions - **Key Parameters**: temperature, max_tokens, top_p, top_k, frequency_penalty, presence_penalty - **Strengths**: Model aggregation, cost optimization, free tiers - **Use Cases**: Cost-effective access, model comparison, experimentation ### Appendix C: Performance Benchmarks #### Processing Speed Benchmarks ##### Text Processing (1MB document) - **Case Tool**: ~50ms (synchronous) - **Find & Replace**: ~200ms (simple), ~2s (complex regex) - **Alphabetical Sorter**: ~100ms - **Number Sorter**: ~80ms - **Word Frequency Counter**: ~150ms ##### Data Extraction (1MB document) - **Email Extraction**: ~300ms - **URL Extraction**: ~250ms - **Email Header Analysis**: ~100ms (typical header) ##### Encoding/Decoding (1MB document) - **Base64**: ~30ms (encode), ~25ms (decode) - **Binary**: ~200ms (encode), ~150ms (decode) - **Morse Code**: ~100ms (encode), ~80ms (decode) ##### AI Processing (varies by provider and model) - **Response Time**: 1-10 seconds (typical) - **Throughput**: Depends on API limits and model size - **Caching**: Instant for repeated queries #### Memory Usage ##### Base Application - **Startup Memory**: ~50MB - **Idle Memory**: ~60MB - **Per Tab**: ~5MB additional ##### Large Document Processing - **1MB Document**: +20MB - **10MB Document**: +100MB (chunked processing) - **Cache Usage**: 10-100MB (configurable) ##### AI Tools - **Per Provider**: ~5MB - **Model Loading**: Varies by provider - **Response Caching**: ~1KB per cached response ### Appendix D: Keyboard Shortcuts #### Global Shortcuts - **Ctrl+Z**: Global undo (works in any text field) - **Ctrl+Y**: Global redo (works in any text field) - **Ctrl+S**: Save settings - **Ctrl+Q**: Quit application - **F1**: Show help/documentation #### Tab Navigation - **Ctrl+Tab**: Next input tab - **Ctrl+Shift+Tab**: Previous input tab - **Ctrl+1-4**: Switch to specific input tab - **Alt+1-4**: Switch to specific output tab #### Text Operations - **Ctrl+A**: Select all text - **Ctrl+C**: Copy selected text - **Ctrl+V**: Paste text - **Ctrl+X**: Cut selected text - **Ctrl+F**: Find in text (where supported) #### Tool-Specific Shortcuts - **Enter**: Process text (in most tools) - **Escape**: Cancel operation (where applicable) - **F5**: Refresh/reload (context-dependent) ### Appendix E: File Format Support #### Import Formats - **Plain Text**: .txt, .log, .csv - **Rich Text**: .rtf - **Web Formats**: .html, .xml - **Data Formats**: .json, .yaml - **Code Files**: .py, .js, .css, .sql (as plain text) #### Export Formats - **Plain Text**: .txt - **PDF**: .pdf (via ReportLab) - **Word Document**: .docx (via python-docx) - **CSV**: .csv (for structured data) #### Clipboard Support - **Text**: Full Unicode text support - **Rich Text**: Basic formatting preservation - **Large Content**: Automatic chunking for large clipboard content ### Appendix F: Regular Expression Reference #### Common Patterns - **Email**: `\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b` - **URL**: `https?://[^\s<>"{}|\\^`\[\]]+` - **Phone (US)**: `\(?([0-9]{3})\)?[-. ]?([0-9]{3})[-. ]?([0-9]{4})` - **Date (MM/DD/YYYY)**: `\b(0?[1-9]|1[0-2])/(0?[1-9]|[12][0-9]|3[01])/([0-9]{4})\b` - **Time (24h)**: `\b([01]?[0-9]|2[0-3]):[0-5][0-9]\b` - **IP Address**: `\b(?:[0-9]{1,3}\.){3}[0-9]{1,3}\b` #### Pattern Library Categories - **Validation**: Email, phone, URL, IP address validation - **Extraction**: Date, time, currency, postal code extraction - **Text Processing**: HTML tag removal, whitespace normalization - **Data Cleaning**: Remove special characters, normalize formats ---