# ChatCMD #
[](https://pypi.org/project/chatcmd)
[](https://pypi.org/project/chatcmd)
[](https://en.wikipedia.org/wiki/MIT_License)
#### **ChatCMD** is an open source AI-driven CLI-based command lookup using multiple AI models to lookup relevant CLI commands based on user input and other generating and lookup features. ####
#### Boost Your Productivity, ***Say Goodbye*** to Manual Searches ####
### What's New in 2.0
- Multi-provider workflow with unified model management (list models, model info, current model, performance stats)
- Provider-specific API key storage via secure keyring; legacy OpenAI flags kept for backward compatibility
- Optional length argument for `--random-password` (default 18)
- Enhanced, colored help and unified header output
- Stability and error handling improvements
## Features ##
### Core Features
- CLI-based command lookup using multiple AI models (OpenAI, Anthropic, Google, Cohere, Ollama)
- Generate SQL query using AI
- Generate a random user-agent
- Generate a random password
- Get your public IP address
- Get a color Hex code by describing the color
- Lookup HTTP Code
- Lookup any port number
- Auto copy command to clipboard
- Disable copy feature
- Store Data in Sqlite Database
- Add or update API keys for multiple providers
- Validate API keys
- Display API Keys
- Display last command
- Display last {number} of commands
- Delete last Command
- Delete last {number} of commands
- Display the total number of commands
- Clear all history records
- Display the database file size
- Clear and validate user inputs
- Clear and validate lookup results to ensure only valid CLI commands are returned
- Enhanced error handling with human-readable messages
- Display library information
#### Core Features Implementation Types
| Feature | Implementation | AI/API Usage | Description |
|---------|---------------|--------------|-------------|
| **CLI Command Lookup** | 🟢 AI-Powered | ✅ AI Models | Uses OpenAI, Anthropic, Google, Cohere, Ollama |
| **SQL Query Generation** | 🟢 AI-Powered | ✅ AI Models | AI generates SQL based on natural language |
| **Random User-Agent** | 🔴 Static Code | ❌ No AI | Uses predefined user-agent strings |
| **Random Password** | 🔴 Static Code | ❌ No AI | Uses Python's random library |
| **Public IP Address** | 🟡 External API | ⚠️ External Service | Uses external IP service (not AI) |
| **Color Hex Code** | 🔴 Static Code | ❌ No AI | Uses predefined color database |
| **HTTP Code Lookup** | 🔴 Static Code | ❌ No AI | Uses predefined HTTP status codes |
| **Port Lookup** | 🔴 Static Code | ❌ No AI | Uses predefined port database |
| **Database Operations** | 🔴 Static Code | ❌ No AI | Uses SQLite for local storage |
| **API Key Management** | 🔴 Static Code | ❌ No AI | Local storage and validation |
| **Command History** | 🔴 Static Code | ❌ No AI | Local database operations |
| **Clipboard Operations** | 🔴 Static Code | ❌ No AI | Uses pyperclip library |
| **Input Validation** | 🔴 Static Code | ❌ No AI | Regex and string validation |
**Summary:**
- **🟢 AI-Powered (2 features)**: CLI lookup and SQL generation
- **🔴 Static Code (10 features)**: Most core features work offline
- **🟡 External API (1 feature)**: IP address lookup only
### Developer Tools
- **Regex Pattern Generator** - Create regex patterns for common use cases
- **Base64 Encoder/Decoder** - Encode or decode base64 strings
- **UUID Generator** - Generate UUIDs in different formats
- **Timestamp Converter** - Convert between different timestamp formats
- **QR Code Generator** - Generate QR codes for text/URLs
#### Developer Tools Implementation Types
| Feature | Implementation | AI/API Usage | Benefits |
|---------|---------------|--------------|----------|
| **Regex Pattern Generator** | 🔴 Static Code | ❌ No AI | Instant response, predefined patterns |
| **Base64 Encoder/Decoder** | 🔴 Static Code | ❌ No AI | Fast, built-in Python library |
| **UUID Generator** | 🔴 Static Code | ❌ No AI | Fast, uses Python's uuid library |
| **Timestamp Converter** | 🔴 Static Code | ❌ No AI | Reliable, uses datetime library |
| **QR Code Generator** | 🟡 External API | ⚠️ External Service | Uses api.qrserver.com (not AI) |
**Key Benefits:**
- **86% Static Code**: Most tools work offline without API calls
- **No AI Costs**: Developer tools don't consume AI API credits
- **Fast Response**: Instant results without network latency
- **Reliable**: No dependency on external AI services
- **Offline Capable**: Works without internet (except QR codes)
### Multi-Model AI Support
- **OpenAI Models**: GPT-3.5 Turbo, GPT-4, GPT-4 Turbo
- **Anthropic Claude Models**: Claude 3 Haiku, Sonnet, Opus
- **Google Models**: Gemini Pro
- **Cohere Models**: Command, Command Light
- **Local Models (Ollama)**: Llama 2, Code Llama, Mistral, Llama 3.2 3B
## Requirements ##
Python >= 3.8.9
AI provider account and valid API key (OpenAI, Anthropic, Google, Cohere, or Ollama for local models)
Get API keys:
- OpenAI: https://platform.openai.com/signup
- Anthropic: https://console.anthropic.com/
- Google: https://makersuite.google.com/app/apikey
- Cohere: https://dashboard.cohere.ai/
- Ollama: https://ollama.ai/ (for local models)
## Installation ##
pip3 install chatcmd
If pip not installed:
python3 -m pip install chatcmd
Installation output should display:
Collecting chatcmd
Using cached chatcmd-2.0.1-py3-none-any.whl (6.8 kB)
Installing collected packages: chatcmd
Successfully installed chatcmd-2.0.1
### Upgrade ###
pip3 install --upgrade chatcmd
If pip not installed:
python3 -m pip install --upgrade chatcmd
### Uninstall ###
pip3 uninstall chatcmd
If pip not installed:
python3 -m pip uninstall chatcmd
## Quick Start ##
### 1. Set Up API Keys
```bash
# Set OpenAI API key
chatcmd --set-model-key openai
# Set Anthropic API key
chatcmd --set-model-key anthropic
# Set Google API key
chatcmd --set-model-key google
# Set Cohere API key
chatcmd --set-model-key cohere
```
### 2. List Available Models
```bash
chatcmd --list-models
```
### 3. Basic Usage
```bash
# Use default model (GPT-3.5 Turbo)
chatcmd --cmd
# Use specific model
chatcmd --model gpt-4 --cmd
# Generate a random password with custom length (default is 18)
chatcmd --random-password 24
```
## Usage ##
```
Usage:
chatcmd [options]
Core Features:
-c, --cmd looking up a CLI command.
-q, --sql generate SQL query.
Tools:
--random-useragent generate a random user-agent
--get-ip get your public IP address.
--random-password [<length>] generate a random password (default: 18).
--color-code get a color Hex code.
--lookup-http-code lookup HTTP Code by code number.
--port-lookup lookup any port number.
--regex-pattern generate regex pattern for description.
--base64-encode encode text to base64.
--base64-decode decode base64 text.
--generate-uuid <version> generate UUID (1, 3, 4, 5).
--timestamp-convert <format> convert timestamp (unix, iso, readable).
--qr-code generate QR code for text/URL.
Library Options:
-k, --set-key set or update API key (legacy OpenAI only).
-o, --get-key display API key (legacy OpenAI only).
-m, --model <model> select AI model (gpt-3.5-turbo, gpt-4, claude-3-haiku, etc.)
--list-models list all available AI models
--model-info <model> show information about a specific model
--set-model-key <provider> set API key for specific provider
--get-model-key <provider> get API key for specific provider
--current-model show current model and provider
--performance-stats show model performance statistics
-g, --get-cmd display the last command.
-G, --get-last=<value> display the last [number] of commands.
-d, --delete-cmd delete the last command.
-D, --delete-last-cmd=<value> delete the last [number] of commands.
-t, --cmd-total display the total number of commands.
-r, --clear-history clear all history records.
-s, --db-size display the database size.
-n, --no-copy disable copy feature.
-h, --help display this screen.
-v, --version display ChatCMD version.
-x, --library-info display library information.
```
## Usage Examples ##
### Basic CLI Command Lookup
```bash
# Use default model
chatcmd --cmd "find all files larger than 100MB"
# Use specific model
chatcmd --model gpt-4 --cmd "create a backup of my database"
```
### Developer Tools
```bash
# Generate regex pattern
chatcmd --regex-pattern "email validation"
# Generate UUID
chatcmd --generate-uuid 4
# Convert timestamp
chatcmd --timestamp-convert unix
# Generate QR code
chatcmd --qr-code
```
### Multi-Model Usage
```bash
# List available models
chatcmd --list-models
# Use Claude 3 Sonnet
chatcmd --model claude-3-sonnet --cmd
# Use local Llama 2 (requires Ollama)
chatcmd --model llama2 --cmd
# Check current model
chatcmd --current-model
# View performance statistics
chatcmd --performance-stats
```
### Provider Key Management
```bash
# Set API key for a specific provider (recommended)
chatcmd --set-model-key openai
chatcmd --set-model-key anthropic
chatcmd --set-model-key google
chatcmd --set-model-key cohere
# Get masked API key for a provider
chatcmd --get-model-key openai
```
### Local Models Setup (Ollama)
```bash
# Install Ollama
# macOS: brew install ollama
# Linux: curl -fsSL https://ollama.ai/install.sh | sh
# Pull models
ollama pull llama2
ollama pull codellama
ollama pull mistral
ollama pull llama3.2:3b
# Use local models
chatcmd --model llama2 --cmd
chatcmd --model codellama --cmd
chatcmd --model llama3.2:3b --cmd
```
## Model Comparison ##
| Model | Speed | Quality | Cost | Best For |
|-------|-------|---------|------|----------|
| gpt-3.5-turbo | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ | General use, fast responses |
| gpt-4 | ⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐ | Complex commands, best quality |
| claude-3-haiku | ⭐⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐ | Fast, good quality |
| claude-3-sonnet | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐ | Balanced performance |
| claude-3-opus | ⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐ | Best quality, complex tasks |
| gemini-pro | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐ | Google ecosystem |
| command | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐ | Cost-effective |
| llama2 (local) | ⭐⭐⭐ | ⭐⭐⭐ | ⭐⭐⭐⭐⭐ | Privacy, no API costs |
| codellama (local) | ⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | Coding tasks, privacy |
| llama3.2:3b (local) | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | Small, fast local model |
## Error Codes ##
Include an exception message for each error if occurs.
| Code | Description |
|------|:-----------------------------------:|
| 1001 | General exception |
| 1002 | Failed to connect to database |
| 1003 | Failed to get API key from database |
| 1004 | Failed to output API key |
| 1005 | Failed to save API key to database |
| 1006 | Invalid ChatGPT API key |
| 1007 | Failed requesting API key |
| 1008 | Failed to add command |
| 1009 | API key is invalid or missing |
| 1010 | OpenAI API error occurred |
| 1011 | Lookup exception occurred |
| 1012 | Failed to add command |
| 1013 | Failed to get last command |
| 1014 | Failed to get list of command |
| 1015 | Failed deleting last command |
| 1016 | Failed to get last command |
| 1017 | Failed clearing history |
| 1018 | Failed to copy command |
### Linux copy command issue
In order to perform a Graphics-related job in a Unix environment,
the DISPLAY variable needs to be set initially.
An error can occur when connecting to Linux via SSH, particularly if there is no copy/paste mechanism like Xclip installed.
To resolve this, you can try installing Xclip using the following command: "sudo apt-get install xclip".
Additionally, you need to export the DISPLAY variable by running: "export DISPLAY=:0.0".
To avoid the error message, you can use the "-no-copy" option when looking up a command, as it disables the copy feature.
## Support ##
[Issues](https://github.com/naifalshaye/chatcmd/issues)
Developed and maintained by:\
Naif Alshaye\
[https://naif.io](https://naif.io)\
naif@naif.io
## License
The MIT License (MIT). Please see License File [MIT License](https://choosealicense.com/licenses/mit/) for more information.
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"description": "# ChatCMD #\n\n[](https://pypi.org/project/chatcmd)\n[](https://pypi.org/project/chatcmd)\n[](https://en.wikipedia.org/wiki/MIT_License)\n\n#### **ChatCMD** is an open source AI-driven CLI-based command lookup using multiple AI models to lookup relevant CLI commands based on user input and other generating and lookup features. ####\n\n#### Boost Your Productivity, ***Say Goodbye*** to Manual Searches ####\n\n### What's New in 2.0\n- Multi-provider workflow with unified model management (list models, model info, current model, performance stats)\n- Provider-specific API key storage via secure keyring; legacy OpenAI flags kept for backward compatibility\n- Optional length argument for `--random-password` (default 18)\n- Enhanced, colored help and unified header output\n- Stability and error handling improvements\n\n## Features ##\n\n### Core Features\n- CLI-based command lookup using multiple AI models (OpenAI, Anthropic, Google, Cohere, Ollama)\n- Generate SQL query using AI\n- Generate a random user-agent\n- Generate a random password\n- Get your public IP address\n- Get a color Hex code by describing the color\n- Lookup HTTP Code\n- Lookup any port number\n- Auto copy command to clipboard\n- Disable copy feature\n- Store Data in Sqlite Database\n- Add or update API keys for multiple providers\n- Validate API keys\n- Display API Keys\n- Display last command\n- Display last {number} of commands\n- Delete last Command\n- Delete last {number} of commands\n- Display the total number of commands\n- Clear all history records\n- Display the database file size\n- Clear and validate user inputs\n- Clear and validate lookup results to ensure only valid CLI commands are returned\n- Enhanced error handling with human-readable messages\n- Display library information\n\n#### Core Features Implementation Types\n\n| Feature | Implementation | AI/API Usage | Description |\n|---------|---------------|--------------|-------------|\n| **CLI Command Lookup** | \ud83d\udfe2 AI-Powered | \u2705 AI Models | Uses OpenAI, Anthropic, Google, Cohere, Ollama |\n| **SQL Query Generation** | \ud83d\udfe2 AI-Powered | \u2705 AI Models | AI generates SQL based on natural language |\n| **Random User-Agent** | \ud83d\udd34 Static Code | \u274c No AI | Uses predefined user-agent strings |\n| **Random Password** | \ud83d\udd34 Static Code | \u274c No AI | Uses Python's random library |\n| **Public IP Address** | \ud83d\udfe1 External API | \u26a0\ufe0f External Service | Uses external IP service (not AI) |\n| **Color Hex Code** | \ud83d\udd34 Static Code | \u274c No AI | Uses predefined color database |\n| **HTTP Code Lookup** | \ud83d\udd34 Static Code | \u274c No AI | Uses predefined HTTP status codes |\n| **Port Lookup** | \ud83d\udd34 Static Code | \u274c No AI | Uses predefined port database |\n| **Database Operations** | \ud83d\udd34 Static Code | \u274c No AI | Uses SQLite for local storage |\n| **API Key Management** | \ud83d\udd34 Static Code | \u274c No AI | Local storage and validation |\n| **Command History** | \ud83d\udd34 Static Code | \u274c No AI | Local database operations |\n| **Clipboard Operations** | \ud83d\udd34 Static Code | \u274c No AI | Uses pyperclip library |\n| **Input Validation** | \ud83d\udd34 Static Code | \u274c No AI | Regex and string validation |\n\n**Summary:**\n- **\ud83d\udfe2 AI-Powered (2 features)**: CLI lookup and SQL generation\n- **\ud83d\udd34 Static Code (10 features)**: Most core features work offline\n- **\ud83d\udfe1 External API (1 feature)**: IP address lookup only\n\n### Developer Tools\n- **Regex Pattern Generator** - Create regex patterns for common use cases\n- **Base64 Encoder/Decoder** - Encode or decode base64 strings\n- **UUID Generator** - Generate UUIDs in different formats\n- **Timestamp Converter** - Convert between different timestamp formats\n- **QR Code Generator** - Generate QR codes for text/URLs\n\n#### Developer Tools Implementation Types\n\n| Feature | Implementation | AI/API Usage | Benefits |\n|---------|---------------|--------------|----------|\n| **Regex Pattern Generator** | \ud83d\udd34 Static Code | \u274c No AI | Instant response, predefined patterns |\n| **Base64 Encoder/Decoder** | \ud83d\udd34 Static Code | \u274c No AI | Fast, built-in Python library |\n| **UUID Generator** | \ud83d\udd34 Static Code | \u274c No AI | Fast, uses Python's uuid library |\n| **Timestamp Converter** | \ud83d\udd34 Static Code | \u274c No AI | Reliable, uses datetime library |\n| **QR Code Generator** | \ud83d\udfe1 External API | \u26a0\ufe0f External Service | Uses api.qrserver.com (not AI) |\n\n**Key Benefits:**\n- **86% Static Code**: Most tools work offline without API calls\n- **No AI Costs**: Developer tools don't consume AI API credits\n- **Fast Response**: Instant results without network latency\n- **Reliable**: No dependency on external AI services\n- **Offline Capable**: Works without internet (except QR codes)\n\n### Multi-Model AI Support\n- **OpenAI Models**: GPT-3.5 Turbo, GPT-4, GPT-4 Turbo\n- **Anthropic Claude Models**: Claude 3 Haiku, Sonnet, Opus\n- **Google Models**: Gemini Pro\n- **Cohere Models**: Command, Command Light\n- **Local Models (Ollama)**: Llama 2, Code Llama, Mistral, Llama 3.2 3B\n\n## Requirements ##\n Python >= 3.8.9\n AI provider account and valid API key (OpenAI, Anthropic, Google, Cohere, or Ollama for local models)\n \n Get API keys:\n - OpenAI: https://platform.openai.com/signup\n - Anthropic: https://console.anthropic.com/\n - Google: https://makersuite.google.com/app/apikey\n - Cohere: https://dashboard.cohere.ai/\n - Ollama: https://ollama.ai/ (for local models)\n\n## Installation ##\n pip3 install chatcmd\n \nIf pip not installed:\n\n python3 -m pip install chatcmd\n\nInstallation output should display:\n\n Collecting chatcmd\n Using cached chatcmd-2.0.1-py3-none-any.whl (6.8 kB)\n Installing collected packages: chatcmd\n Successfully installed chatcmd-2.0.1\n\n### Upgrade ###\n pip3 install --upgrade chatcmd\n\nIf pip not installed:\n\n python3 -m pip install --upgrade chatcmd\n\n### Uninstall ###\n pip3 uninstall chatcmd\n\nIf pip not installed:\n\n python3 -m pip uninstall chatcmd\n\n## Quick Start ##\n\n### 1. Set Up API Keys\n```bash\n# Set OpenAI API key\nchatcmd --set-model-key openai\n\n# Set Anthropic API key\nchatcmd --set-model-key anthropic\n\n# Set Google API key\nchatcmd --set-model-key google\n\n# Set Cohere API key\nchatcmd --set-model-key cohere\n```\n\n### 2. List Available Models\n```bash\nchatcmd --list-models\n```\n\n### 3. Basic Usage\n```bash\n# Use default model (GPT-3.5 Turbo)\nchatcmd --cmd\n\n# Use specific model\nchatcmd --model gpt-4 --cmd\n\n# Generate a random password with custom length (default is 18)\nchatcmd --random-password 24\n\n```\n\n## Usage ##\n\n```\nUsage:\n\nchatcmd [options]\n\nCore Features:\n -c, --cmd looking up a CLI command.\n -q, --sql generate SQL query.\n\nTools:\n --random-useragent generate a random user-agent\n --get-ip get your public IP address.\n --random-password [<length>] generate a random password (default: 18).\n --color-code get a color Hex code.\n --lookup-http-code lookup HTTP Code by code number.\n --port-lookup lookup any port number.\n --regex-pattern generate regex pattern for description.\n --base64-encode encode text to base64.\n --base64-decode decode base64 text.\n --generate-uuid <version> generate UUID (1, 3, 4, 5).\n --timestamp-convert <format> convert timestamp (unix, iso, readable).\n --qr-code generate QR code for text/URL.\n\nLibrary Options:\n -k, --set-key set or update API key (legacy OpenAI only).\n -o, --get-key display API key (legacy OpenAI only).\n -m, --model <model> select AI model (gpt-3.5-turbo, gpt-4, claude-3-haiku, etc.)\n --list-models list all available AI models\n --model-info <model> show information about a specific model\n --set-model-key <provider> set API key for specific provider\n --get-model-key <provider> get API key for specific provider\n --current-model show current model and provider\n --performance-stats show model performance statistics\n -g, --get-cmd display the last command.\n -G, --get-last=<value> display the last [number] of commands.\n -d, --delete-cmd delete the last command.\n -D, --delete-last-cmd=<value> delete the last [number] of commands.\n -t, --cmd-total display the total number of commands.\n -r, --clear-history clear all history records.\n -s, --db-size display the database size.\n -n, --no-copy disable copy feature.\n -h, --help display this screen.\n -v, --version display ChatCMD version.\n -x, --library-info display library information.\n\n```\n\n## Usage Examples ##\n\n### Basic CLI Command Lookup\n```bash\n# Use default model\nchatcmd --cmd \"find all files larger than 100MB\"\n\n# Use specific model\nchatcmd --model gpt-4 --cmd \"create a backup of my database\"\n```\n\n### Developer Tools\n```bash\n# Generate regex pattern\nchatcmd --regex-pattern \"email validation\"\n\n\n# Generate UUID\nchatcmd --generate-uuid 4\n\n# Convert timestamp\nchatcmd --timestamp-convert unix\n\n# Generate QR code\nchatcmd --qr-code\n```\n\n### Multi-Model Usage\n```bash\n# List available models\nchatcmd --list-models\n\n# Use Claude 3 Sonnet\nchatcmd --model claude-3-sonnet --cmd\n\n# Use local Llama 2 (requires Ollama)\nchatcmd --model llama2 --cmd\n\n# Check current model\nchatcmd --current-model\n\n# View performance statistics\nchatcmd --performance-stats\n```\n\n### Provider Key Management\n```bash\n# Set API key for a specific provider (recommended)\nchatcmd --set-model-key openai\nchatcmd --set-model-key anthropic\nchatcmd --set-model-key google\nchatcmd --set-model-key cohere\n\n# Get masked API key for a provider\nchatcmd --get-model-key openai\n```\n\n### Local Models Setup (Ollama)\n```bash\n# Install Ollama\n# macOS: brew install ollama\n# Linux: curl -fsSL https://ollama.ai/install.sh | sh\n\n# Pull models\nollama pull llama2\nollama pull codellama\nollama pull mistral\nollama pull llama3.2:3b\n\n# Use local models\nchatcmd --model llama2 --cmd\nchatcmd --model codellama --cmd\nchatcmd --model llama3.2:3b --cmd\n```\n\n## Model Comparison ##\n\n| Model | Speed | Quality | Cost | Best For |\n|-------|-------|---------|------|----------|\n| gpt-3.5-turbo | \u2b50\u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50 | \u2b50\u2b50 | General use, fast responses |\n| gpt-4 | \u2b50\u2b50 | \u2b50\u2b50\u2b50\u2b50\u2b50 | \u2b50 | Complex commands, best quality |\n| claude-3-haiku | \u2b50\u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50 | \u2b50\u2b50 | Fast, good quality |\n| claude-3-sonnet | \u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50\u2b50 | \u2b50\u2b50 | Balanced performance |\n| claude-3-opus | \u2b50\u2b50 | \u2b50\u2b50\u2b50\u2b50\u2b50 | \u2b50 | Best quality, complex tasks |\n| gemini-pro | \u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50\u2b50 | \u2b50\u2b50 | Google ecosystem |\n| command | \u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50 | Cost-effective |\n| llama2 (local) | \u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50\u2b50\u2b50 | Privacy, no API costs |\n| codellama (local) | \u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50\u2b50\u2b50 | Coding tasks, privacy |\n| llama3.2:3b (local) | \u2b50\u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50\u2b50 | \u2b50\u2b50\u2b50\u2b50\u2b50 | Small, fast local model |\n\n## Error Codes ##\nInclude an exception message for each error if occurs.\n\n| Code | Description |\n|------|:-----------------------------------:|\n| 1001 | General exception |\n| 1002 | Failed to connect to database |\n| 1003 | Failed to get API key from database |\n| 1004 | Failed to output API key |\n| 1005 | Failed to save API key to database |\n| 1006 | Invalid ChatGPT API key |\n| 1007 | Failed requesting API key |\n| 1008 | Failed to add command |\n| 1009 | API key is invalid or missing |\n| 1010 | OpenAI API error occurred |\n| 1011 | Lookup exception occurred |\n| 1012 | Failed to add command |\n| 1013 | Failed to get last command |\n| 1014 | Failed to get list of command |\n| 1015 | Failed deleting last command |\n| 1016 | Failed to get last command |\n| 1017 | Failed clearing history |\n| 1018 | Failed to copy command |\n\n### Linux copy command issue\nIn order to perform a Graphics-related job in a Unix environment,\nthe DISPLAY variable needs to be set initially.\nAn error can occur when connecting to Linux via SSH, particularly if there is no copy/paste mechanism like Xclip installed.\nTo resolve this, you can try installing Xclip using the following command: \"sudo apt-get install xclip\".\nAdditionally, you need to export the DISPLAY variable by running: \"export DISPLAY=:0.0\".\n\nTo avoid the error message, you can use the \"-no-copy\" option when looking up a command, as it disables the copy feature.\n## Support ##\n[Issues](https://github.com/naifalshaye/chatcmd/issues)\n\n\nDeveloped and maintained by:\\\nNaif Alshaye\\\n[https://naif.io](https://naif.io)\\\nnaif@naif.io\n\n\n\n## License\nThe MIT License (MIT). Please see License File [MIT License](https://choosealicense.com/licenses/mit/) for more information.\n",
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