trmx 0.3.3

A powerful terminal chat interface for multiple AI models with local session storage

TRMX - Terminal Chat Interface

A powerful terminal-based chat interface that lets you interact with various AI models directly from your command line. TRMX stores your conversations locally and makes it easy to manage multiple chat sessions.

Features

• Seamless integration with multiple AI providers (OpenAI, Anthropic, Together, Groq, Fireworks, Cerebras, Google)
• Easy local storage and management of chat sessions
• Intuitive command-line interface
• Advanced session management with titles and session IDs
• Display of model and provider information for each chat
• Custom time format display options
• Auto-update capability

Installation

pip install trmx

Quick Start

# Start a new chat using your default provider and model
trmx

# List your saved chat sessions
trmx --list

# Update TRMX to the latest version
trmx --update

Detailed Usage Guide

Managing Chat Sessions

# Start a new chat session
trmx

# List all previous chat sessions
# Shows title, ID, creation date, message count, provider, and model
trmx --list

# Continue a previous session (multiple ways)
trmx 92f31c          # Using a partial session ID directly
trmx 92              # Even just a few characters will work
trmx --continue 92   # Using the --continue or -c flag
trmx -c 92           # Short form

# Delete a chat session (by its number in the list)
trmx --delete 3      # Deletes the 3rd session in the list

# Show information about chat storage location
trmx --info

Configuring Models and Providers

TRMX supports multiple AI providers including OpenAI, Anthropic, Together, Groq, Fireworks, Cerebras, and Google.

# List all available providers and their status
trmx --list-providers

# List available models for the current provider
trmx --list-models

# List models for a specific provider
trmx --list-models --provider openai   # GPT models
trmx --list-models --provider anthropic # Claude models
trmx --list-models --provider groq     # Llama and other models

# Use a specific provider and model for a single chat session
trmx --provider openai --model gpt-4
trmx --provider anthropic --model claude-3-opus-20240229
trmx --provider groq --model llama-3-70b-8192

# Set a new default provider/model configuration
trmx --add --provider openai --model gpt-4-turbo
trmx --add --provider anthropic --model claude-3-haiku-20240307

Display Settings

# Set the time display style for chat sessions
trmx --set-timestyle iso      # Display times in ISO format (2025-03-17T22:55:28)
trmx --set-timestyle human    # Display times in human-readable format (2025-03-17 22:55:28)
trmx --set-timestyle relative # Display times in relative format (2 hours ago)

Maintenance

# Check the current version
trmx --version

# Update to the latest version
trmx --update

# Show help information
trmx --help

Chat Interface Features

During a chat session:

• The provider and model information are displayed prominently
• Chat history is shown when continuing a session
• Type exit, quit, or q to end the session
• Multi-line input is supported:
  • Use /m, /multiline, /multi, /p, or /paste (end with /end)
  • Use triple quotes """ or ''' (end with corresponding triple quotes)

Configuration

TRMX can be configured using environment variables:

• TRMX_DIR: Path to store chat history, credentials, and configuration (default: ~/.trmx)
• API key variables for each provider (e.g., OPENAI_API_KEY, ANTHROPIC_API_KEY, etc.)

You can set these in your shell or create a .env file in your working directory.

API Keys

TRMX will search for API keys in this order:

1. Environment variables
2. Credential files in ~/.trmx/credentials/
3. Interactive prompt (if not found, TRMX will ask if you want to enter and save the key)

Example Configuration

For OpenAI:

export OPENAI_API_KEY=your-key-here

For Anthropic:

export ANTHROPIC_API_KEY=your-key-here

Session Information

When you list your sessions with trmx --list, you'll see:

• Session title (auto-generated from the conversation)
• Session ID (unique identifier)
• Creation time
• Message count
• Provider (which AI service was used)
• Model (which specific model was used)
• Preview of the conversation

Requirements

• Python 3.8 or higher
• Internet connection for AI model access