Fixed default model setting. Added ctrl+y to copy latest reply in markdown++

Final release of version 2.1.

Headlights:

### Core Features
- 🤖 Interactive chat with 300+ AI models via OpenRouter
- 🔍 Model selection with search and filtering
- 💾 Conversation save/load/export (Markdown, JSON, HTML)
- 📎 File attachments (images, PDFs, code files)
- 💰 Real-time cost tracking and credit monitoring
- 🎨 Rich terminal UI with syntax highlighting
- 📝 Persistent command history with search (Ctrl+R)
- 🌐 Online mode (web search capabilities)
- 🧠 Conversation memory toggle

### MCP Integration
- 🔧 **File Mode**: AI can read, search, and list local files
  - Automatic .gitignore filtering
  - Virtual environment exclusion
  - Large file handling (auto-truncates >50KB)

- ✍️ **Write Mode**: AI can modify files with permission
  - Create, edit, delete files
  - Move, copy, organize files
  - Always requires explicit opt-in

- 🗄️ **Database Mode**: AI can query SQLite databases
  - Read-only access (safe)
  - Schema inspection
  - Full SQL query support

Reviewed-on: #2
Co-authored-by: Rune Olsen <rune@rune.pm>
Co-committed-by: Rune Olsen <rune@rune.pm>

.gitignore

@@ -22,5 +22,27 @@ Pipfile.lock # Consider if you want to include or exclude
 ._*
 *~.nib
 *~.xib
-README.md.old
+
-oai.zip
+# Claude Code local settings
+.claude/
+
+# Added by author
+*.zip
+.note
+diagnose.py
+*.log
+*.xml
+build*
+*.spec
+compiled/
+images/oai-iOS-Default-1024x1024@1x.png
+images/oai.icon/
+b0.sh
+*.bak
+*.old
+*.sh
+*.back
+requirements.txt
+system_prompt.txt
+CLAUDE*
+SESSION*_COMPLETE.md

README.md

@@ -1,228 +1,326 @@
-# oAI - OpenRouter AI Chat
+# oAI - OpenRouter AI Chat Client
 
-A terminal-based chat interface for OpenRouter API with conversation management, cost tracking, and rich formatting.
+A powerful, modern **Textual TUI** chat client for OpenRouter API with **MCP (Model Context Protocol)** support, enabling AI to access local files and query SQLite databases.
-
-## Description
-
-oAI is a command-line chat application that provides an interactive interface to OpenRouter's AI models. It features conversation persistence, file attachments, export capabilities, and detailed session metrics.
 
 ## Features
 
-- Interactive chat with multiple AI models via OpenRouter
+### Core Features
-- Model selection with search functionality
+- 🖥️ **Modern Textual TUI** with async streaming and beautiful interface
-- Conversation save/load/export (Markdown, JSON, HTML)
+- 🤖 Interactive chat with 300+ AI models via OpenRouter
-- File attachment support (code files and images)
+- 🔍 Model selection with search, filtering, and capability icons
-- Session cost tracking and credit monitoring
+- 💾 Conversation save/load/export (Markdown, JSON, HTML)
-- Rich terminal formatting with syntax highlighting
+- 📎 File attachments (images, PDFs, code files)
-- Persistent command history
+- 💰 Real-time cost tracking and credit monitoring
-- Configurable system prompts and token limits
+- 🎨 Dark theme with syntax highlighting and Markdown rendering
-- SQLite-based configuration and conversation storage
+- 📝 Command history navigation (Up/Down arrows)
+- 🌐 Online mode (web search capabilities)
+- 🧠 Conversation memory toggle
+- ⌨️ Keyboard shortcuts (F1=Help, F2=Models, Ctrl+S=Stats)
+
+### MCP Integration
+- 🔧 **File Mode**: AI can read, search, and list local files
+  - Automatic .gitignore filtering
+  - Virtual environment exclusion
+  - Large file handling (auto-truncates >50KB)
+
+- ✍️ **Write Mode**: AI can modify files with permission
+  - Create, edit, delete files
+  - Move, copy, organize files
+  - Always requires explicit opt-in
+
+- 🗄️ **Database Mode**: AI can query SQLite databases
+  - Read-only access (safe)
+  - Schema inspection
+  - Full SQL query support
 
 ## Requirements
 
-- Python 3.7 or higher
+- Python 3.10-3.13
-- OpenRouter API key (get one at https://openrouter.ai)
+- OpenRouter API key ([get one here](https://openrouter.ai))
-
-## Screenshot
-
-[<img src="https://gitlab.pm/rune/oai/raw/branch/main/images/screenshot_01.png">](https://gitlab.pm/rune/oai/src/branch/main/README.md)  
-
-Screenshot of `/help` screen.
 
 ## Installation
 
-### 1. Install Dependencies
+### Option 1: Pre-built Binary (macOS/Linux) (Recommended)
 
-Use the included `requirements.txt` file to install the dependencies:
+Download from [Releases](https://gitlab.pm/rune/oai/releases):
+- **macOS (Apple Silicon)**: `oai_v3.0.0_mac_arm64.zip`
+- **Linux (x86_64)**: `oai_v3.0.0_linux_x86_64.zip`
 
 ```bash
-pip install -r requirements.txt
+# Extract and install
-```
+unzip oai_v3.0.0_*.zip
-
-### 2. Make the Script Executable
-
-```bash
-chmod +x oai.py
-```
-
-### 3. Copy to PATH
-
-Copy the script to a directory in your `$PATH` environment variable. Common locations include:
-
-```bash
-# Option 1: System-wide (requires sudo)
-sudo cp oai.py /usr/local/bin/oai
-
-# Option 2: User-local (recommended)
 mkdir -p ~/.local/bin
-cp oai.py ~/.local/bin/oai
+mv oai ~/.local/bin/
 
-# Add to PATH if not already (add to ~/.bashrc or ~/.zshrc)
+# macOS only: Remove quarantine and approve
+xattr -cr ~/.local/bin/oai
+# Then right-click oai in Finder → Open With → Terminal → Click "Open"
+```
+
+### Add to PATH
+
+```bash
+# Add to ~/.zshrc or ~/.bashrc
 export PATH="$HOME/.local/bin:$PATH"
 ```
 
-### 4. Verify Installation
+
+### Option 2: Install from Source
 
 ```bash
+# Clone the repository
+git clone https://gitlab.pm/rune/oai.git
+cd oai
+
+# Install with pip
+pip install -e .
+```
+
+
+## Quick Start
+
+```bash
+# Start oAI (launches TUI)
 oai
+
+# Or with options
+oai --model gpt-4o --online --mcp
+
+# Show version
+oai version
 ```
 
-### 5. Alternative Installation (for *nix systems)
+On first run, you'll be prompted for your OpenRouter API key.
-
-If you have issues with the above method you can add an alias in your `.bashrc`, `.zshrc` etc.
-
-```bash
-alias oai='python3 <path to your file>'
-```
-
-On first run, you will be prompted to enter your OpenRouter API key.
-
-## Usage
-
-### Starting the Application
-
-```bash
-oai
-```
 
 ### Basic Commands
 
-```
+```bash
-/help                     Show all available commands
+# In the TUI interface:
-/model                    Select an AI model
+/model              # Select AI model (or press F2)
-/config api               Set OpenRouter API key
+/help               # Show all commands (or press F1)
-exit                      Quit the application
+/mcp on             # Enable file/database access
+/stats              # View session statistics (or press Ctrl+S)
+/config             # View configuration settings
+/credits            # Check account credits
+Ctrl+Q              # Quit
 ```
 
-### Configuration
+## MCP (Model Context Protocol)
 
-All configuration is stored in `~/.config/oai/`:
+MCP allows the AI to interact with your local files and databases.
-- `oai_config.db` - SQLite database for settings and conversations
-- `oai.log` - Application log file
-- `history.txt` - Command history
 
-### Common Workflows
+### File Access
 
-**Select a Model:**
+```bash
-```
+/mcp on                    # Enable MCP
-/model
+/mcp add ~/Projects        # Grant access to folder
+/mcp list                  # View allowed folders
+
+# Now ask the AI:
+"List all Python files in Projects"
+"Read and explain main.py"
+"Search for files containing 'TODO'"
 ```
 
-**Paste from clipboard:**
+### Write Mode
-Paste and send content to model
+
-```
+```bash
-/paste 
+/mcp write on              # Enable file modifications
+
+# AI can now:
+"Create a new file called utils.py"
+"Edit config.json and update the API URL"
+"Delete the old backup files"  # Always asks for confirmation
 ```
 
-Paste with prompt and send content to model
+### Database Mode
-```
-/paste Analyze this text
-```
 
-**Start Chatting:**
+```bash
-```
+/mcp add db ~/app/data.db  # Add database
-You> Hello, how are you?
+/mcp db 1                  # Switch to database mode
-```
 
-**Attach Files:**
+# Ask the AI:
+"Show all tables"
+"Find users created this month"
+"What's the schema for the orders table?"
 ```
-You> Debug this code @/path/to/script.py
-You> Analyze this image @/path/to/image.png
-```
-
-**Save Conversation:**
-```
-/save my_conversation
-```
-
-**Export to File:**
-```
-/export md notes.md
-/export json backup.json
-/export html report.html
-```
-
-**View Session Stats:**
-
-```
-/stats
-/credits
-```
-
-**Prevous commands input:**
-
-Use the up/down arrows to see earlier `/`commands and earlier input to model and `<enter>` to execute the same command or resend the same input. 
 
 ## Command Reference
 
-Use `/help` within the application for a complete command reference organized by category:
+### Chat Commands
-- Session Commands
+| Command | Description |
-- Model Commands
+|---------|-------------|
-- Configuration
+| `/help [cmd]` | Show help |
-- Token & System
+| `/model [search]` | Select model |
-- Conversation Management
+| `/info [model]` | Model details |
-- Monitoring & Stats
+| `/memory on\|off` | Toggle context |
-- File Attachments
+| `/online on\|off` | Toggle web search |
+| `/retry` | Resend last message |
+| `/clear` | Clear screen |
 
-## Configuration Options
+### MCP Commands
+| Command | Description |
+|---------|-------------|
+| `/mcp on\|off` | Enable/disable MCP |
+| `/mcp status` | Show MCP status |
+| `/mcp add <path>` | Add folder |
+| `/mcp add db <path>` | Add database |
+| `/mcp list` | List folders |
+| `/mcp db list` | List databases |
+| `/mcp db <n>` | Switch to database |
+| `/mcp files` | Switch to file mode |
+| `/mcp write on\|off` | Toggle write mode |
 
-- API Key: `/config api`
+### Conversation Commands
-- Base URL: `/config url`
+| Command | Description |
-- Streaming: `/config stream on|off`
+|---------|-------------|
-- Default Model: `/config model`
+| `/save <name>` | Save conversation |
-- Cost Warning: `/config costwarning <amount>`
+| `/load <name>` | Load conversation |
-- Max Token Limit: `/config maxtoken <value>`
+| `/list` | List saved conversations |
+| `/delete <name>` | Delete conversation |
+| `/export md\|json\|html <file>` | Export |
 
-## File Support
+### Configuration
+| Command | Description |
+|---------|-------------|
+| `/config` | View settings |
+| `/config api` | Set API key |
+| `/config model <id>` | Set default model |
+| `/config stream on\|off` | Toggle streaming |
+| `/stats` | Session statistics |
+| `/credits` | Check credits |
 
-**Supported Code Extensions:**
+## CLI Options
-.py, .js, .ts, .cs, .java, .c, .cpp, .h, .hpp, .rb, .ruby, .php, .swift, .kt, .kts, .go, .sh, .bat, .ps1, .R, .scala, .pl, .lua, .dart, .elm, .xml, .json, .yaml, .yml, .md, .txt
 
-**Image Support:**
+```bash
-Any image format with proper MIME type (PNG, JPEG, GIF, etc.)
+oai [OPTIONS]
 
-## Data Storage
+Options:
+  -m, --model TEXT    Model ID to use
+  -s, --system TEXT   System prompt
+  -o, --online        Enable online mode
+  --mcp               Enable MCP server
+  -v, --version       Show version
+  --help              Show help
+```
 
-- Configuration: `~/.config/oai/oai_config.db`
+Commands:
-- Logs: `~/.config/oai/oai.log`
+```bash
-- History: `~/.config/oai/history.txt`
+oai              # Launch TUI (default)
+oai version      # Show version information
+oai --help       # Show help message
+```
+
+## Configuration
+
+Configuration is stored in `~/.config/oai/`:
+
+| File | Purpose |
+|------|---------|
+| `oai_config.db` | Settings, conversations, MCP config |
+| `oai.log` | Application logs |
+| `history.txt` | Command history |
+
+## Project Structure
+
+```
+oai/
+├── oai/
+│   ├── __init__.py
+│   ├── __main__.py        # Entry point for python -m oai
+│   ├── cli.py             # Main CLI entry point
+│   ├── constants.py       # Configuration constants
+│   ├── commands/          # Slash command handlers
+│   ├── config/            # Settings and database
+│   ├── core/              # Chat client and session
+│   ├── mcp/               # MCP server and tools
+│   ├── providers/         # AI provider abstraction
+│   ├── tui/               # Textual TUI interface
+│   │   ├── app.py         # Main TUI application
+│   │   ├── widgets/       # Custom widgets
+│   │   ├── screens/       # Modal screens
+│   │   └── styles.tcss    # TUI styling
+│   └── utils/             # Logging, export, etc.
+├── pyproject.toml         # Package configuration
+├── build.sh               # Binary build script
+└── README.md
+```
+
+## Troubleshooting
+
+### macOS Binary Issues
+
+```bash
+# Remove quarantine attribute
+xattr -cr ~/.local/bin/oai
+
+# Then in Finder: right-click oai → Open With → Terminal → Click "Open"
+# After this, oai works from any terminal
+```
+
+### MCP Not Working
+
+```bash
+# Check if model supports function calling
+/info  # Look for "tools" in supported parameters
+
+# Check MCP status
+/mcp status
+
+# View logs
+tail -f ~/.config/oai/oai.log
+```
+
+### Import Errors
+
+```bash
+# Reinstall package
+pip install -e . --force-reinstall
+```
+
+## Version History
+
+### v3.0.0 (Current)
+- 🎨 **Complete migration to Textual TUI** - Modern async terminal interface
+- 🗑️ **Removed CLI interface** - TUI-only for cleaner codebase (11.6% smaller)
+- 🖱️ **Modal screens** - Help, stats, config, credits, model selector
+- ⌨️ **Keyboard shortcuts** - F1 (help), F2 (models), Ctrl+S (stats), etc.
+- 🎯 **Capability indicators** - Visual icons for model features (vision, tools, online)
+- 🎨 **Consistent dark theme** - Professional styling throughout
+- 📊 **Enhanced model selector** - Search, filter, capability columns
+- 🚀 **Default command** - Just run `oai` to launch TUI
+- 🧹 **Code cleanup** - Removed 1,300+ lines of CLI code
+
+### v2.1.0
+- 🏗️ Complete codebase refactoring to modular package structure
+- 🔌 Extensible provider architecture for adding new AI providers
+- 📦 Proper Python packaging with pyproject.toml
+- ✨ MCP integration (file access, write mode, database queries)
+- 🔧 Command registry pattern for slash commands
+- 📊 Improved cost tracking and session statistics
+
+### v1.9.x
+- Single-file implementation
+- Core chat functionality
+- File attachments
+- Conversation management
 
 ## License
 
-MIT License
+MIT License - See [LICENSE](LICENSE) for details.
-
-Copyright (c) 2024 Rune Olsen
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
-
-Full license: https://opensource.org/licenses/MIT
 
 ## Author
 
 **Rune Olsen**
+- Project: https://iurl.no/oai
+- Repository: https://gitlab.pm/rune/oai
 
-Blog: https://blog.rune.pm
+## Contributing
 
-## Version
+1. Fork the repository
+2. Create a feature branch
+3. Submit a pull request
 
-1.0
+---
 
-## Support
+**⭐ Star this project if you find it useful!**
-
-For issues, questions, or contributions, visit https://iurl.no/oai and create an issue.

oai/__init__.py

@@ -0,0 +1,26 @@
+"""
+oAI - OpenRouter AI Chat Client
+
+A feature-rich terminal-based chat application that provides an interactive CLI
+interface to OpenRouter's unified AI API with advanced Model Context Protocol (MCP)
+integration for filesystem and database access.
+
+Author: Rune
+License: MIT
+"""
+
+__version__ = "3.0.0-b2"
+__author__ = "Rune"
+__license__ = "MIT"
+
+# Lazy imports to avoid circular dependencies and improve startup time
+# Full imports are available via submodules:
+#   from oai.config import Settings, Database
+#   from oai.providers import OpenRouterProvider, AIProvider
+#   from oai.mcp import MCPManager
+
+__all__ = [
+    "__version__",
+    "__author__",
+    "__license__",
+]

oai/__main__.py

@@ -0,0 +1,8 @@
+"""
+Entry point for running oAI as a module: python -m oai
+"""
+
+from oai.cli import main
+
+if __name__ == "__main__":
+    main()

oai/cli.py

@@ -0,0 +1,199 @@
+"""
+Main CLI entry point for oAI.
+
+This module provides the command-line interface for the oAI TUI application.
+"""
+
+import sys
+from typing import Optional
+
+import typer
+
+from oai import __version__
+from oai.commands import register_all_commands
+from oai.config.settings import Settings
+from oai.constants import APP_URL, APP_VERSION
+from oai.core.client import AIClient
+from oai.core.session import ChatSession
+from oai.mcp.manager import MCPManager
+from oai.utils.logging import LoggingManager, get_logger
+
+# Create Typer app
+app = typer.Typer(
+    name="oai",
+    help=f"oAI - OpenRouter AI Chat Client (TUI)\n\nVersion: {APP_VERSION}",
+    add_completion=False,
+    epilog="For more information, visit: " + APP_URL,
+)
+
+
+@app.callback(invoke_without_command=True)
+def main_callback(
+    ctx: typer.Context,
+    version_flag: bool = typer.Option(
+        False,
+        "--version",
+        "-v",
+        help="Show version information",
+        is_flag=True,
+    ),
+    model: Optional[str] = typer.Option(
+        None,
+        "--model",
+        "-m",
+        help="Model ID to use",
+    ),
+    system: Optional[str] = typer.Option(
+        None,
+        "--system",
+        "-s",
+        help="System prompt",
+    ),
+    online: bool = typer.Option(
+        False,
+        "--online",
+        "-o",
+        help="Enable online mode",
+    ),
+    mcp: bool = typer.Option(
+        False,
+        "--mcp",
+        help="Enable MCP server",
+    ),
+) -> None:
+    """Main callback - launches TUI by default."""
+    if version_flag:
+        typer.echo(f"oAI version {APP_VERSION}")
+        raise typer.Exit()
+
+    # If no subcommand provided, launch TUI
+    if ctx.invoked_subcommand is None:
+        _launch_tui(model, system, online, mcp)
+
+
+def _launch_tui(
+    model: Optional[str] = None,
+    system: Optional[str] = None,
+    online: bool = False,
+    mcp: bool = False,
+) -> None:
+    """Launch the Textual TUI interface."""
+    # Setup logging
+    logging_manager = LoggingManager()
+    logging_manager.setup()
+    logger = get_logger()
+
+    # Load settings
+    settings = Settings.load()
+
+    # Check API key
+    if not settings.api_key:
+        typer.echo("Error: No API key configured", err=True)
+        typer.echo("Run: oai config api to set your API key", err=True)
+        raise typer.Exit(1)
+
+    # Initialize client
+    try:
+        client = AIClient(
+            api_key=settings.api_key,
+            base_url=settings.base_url,
+        )
+    except Exception as e:
+        typer.echo(f"Error: Failed to initialize client: {e}", err=True)
+        raise typer.Exit(1)
+
+    # Register commands
+    register_all_commands()
+
+    # Initialize MCP manager (always create it, even if not enabled)
+    mcp_manager = MCPManager()
+    if mcp:
+        try:
+            result = mcp_manager.enable()
+            if result["success"]:
+                logger.info("MCP server enabled in files mode")
+            else:
+                logger.warning(f"MCP: {result.get('error', 'Failed to enable')}")
+        except Exception as e:
+            logger.warning(f"Failed to enable MCP: {e}")
+
+    # Create session with MCP manager
+    session = ChatSession(
+        client=client,
+        settings=settings,
+        mcp_manager=mcp_manager,
+    )
+
+    # Set system prompt if provided
+    if system:
+        session.set_system_prompt(system)
+
+    # Enable online mode if requested
+    if online:
+        session.online_enabled = True
+
+    # Set model if specified, otherwise use default
+    if model:
+        raw_model = client.get_raw_model(model)
+        if raw_model:
+            session.set_model(raw_model)
+        else:
+            logger.warning(f"Model '{model}' not found")
+    elif settings.default_model:
+        raw_model = client.get_raw_model(settings.default_model)
+        if raw_model:
+            session.set_model(raw_model)
+        else:
+            logger.warning(f"Default model '{settings.default_model}' not available")
+
+    # Run Textual app
+    from oai.tui.app import oAIChatApp
+
+    app_instance = oAIChatApp(session, settings, model)
+    app_instance.run()
+
+
+@app.command()
+def tui(
+    model: Optional[str] = typer.Option(
+        None,
+        "--model",
+        "-m",
+        help="Model ID to use",
+    ),
+    system: Optional[str] = typer.Option(
+        None,
+        "--system",
+        "-s",
+        help="System prompt",
+    ),
+    online: bool = typer.Option(
+        False,
+        "--online",
+        "-o",
+        help="Enable online mode",
+    ),
+    mcp: bool = typer.Option(
+        False,
+        "--mcp",
+        help="Enable MCP server",
+    ),
+) -> None:
+    """Start Textual TUI interface (alias for just running 'oai')."""
+    _launch_tui(model, system, online, mcp)
+
+
+@app.command()
+def version() -> None:
+    """Show version information."""
+    typer.echo(f"oAI version {APP_VERSION}")
+    typer.echo(f"Visit {APP_URL} for more information")
+
+
+def main() -> None:
+    """Entry point for the CLI."""
+    app()
+
+
+if __name__ == "__main__":
+    main()

oai/commands/__init__.py

@@ -0,0 +1,24 @@
+"""
+Command system for oAI.
+
+This module provides a command registry and handler system
+for processing slash commands in the chat interface.
+"""
+
+from oai.commands.registry import (
+    Command,
+    CommandRegistry,
+    CommandContext,
+    CommandResult,
+    registry,
+)
+from oai.commands.handlers import register_all_commands
+
+__all__ = [
+    "Command",
+    "CommandRegistry",
+    "CommandContext",
+    "CommandResult",
+    "registry",
+    "register_all_commands",
+]

oai/commands/registry.py

@@ -0,0 +1,382 @@
+"""
+Command registry for oAI.
+
+This module defines the command system infrastructure including
+the Command base class, CommandContext for state, and CommandRegistry
+for managing available commands.
+"""
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass, field
+from enum import Enum
+from typing import Any, Callable, Dict, List, Optional, TYPE_CHECKING
+
+from oai.utils.logging import get_logger
+
+if TYPE_CHECKING:
+    from oai.config.settings import Settings
+    from oai.providers.base import AIProvider, ModelInfo
+    from oai.mcp.manager import MCPManager
+
+
+class CommandStatus(str, Enum):
+    """Status of command execution."""
+
+    SUCCESS = "success"
+    ERROR = "error"
+    CONTINUE = "continue"  # Continue to next handler
+    EXIT = "exit"  # Exit the application
+
+
+@dataclass
+class CommandResult:
+    """
+    Result of a command execution.
+
+    Attributes:
+        status: Execution status
+        message: Optional message to display
+        data: Optional data payload
+        should_continue: Whether to continue the main loop
+    """
+
+    status: CommandStatus = CommandStatus.SUCCESS
+    message: Optional[str] = None
+    data: Optional[Any] = None
+    should_continue: bool = True
+
+    @classmethod
+    def success(cls, message: Optional[str] = None, data: Any = None) -> "CommandResult":
+        """Create a success result."""
+        return cls(status=CommandStatus.SUCCESS, message=message, data=data)
+
+    @classmethod
+    def error(cls, message: str) -> "CommandResult":
+        """Create an error result."""
+        return cls(status=CommandStatus.ERROR, message=message)
+
+    @classmethod
+    def exit(cls, message: Optional[str] = None) -> "CommandResult":
+        """Create an exit result."""
+        return cls(status=CommandStatus.EXIT, message=message, should_continue=False)
+
+
+@dataclass
+class CommandContext:
+    """
+    Context object providing state to command handlers.
+
+    Contains all the session state needed by commands including
+    settings, provider, conversation history, and MCP manager.
+
+    Attributes:
+        settings: Application settings
+        provider: AI provider instance
+        mcp_manager: MCP manager instance
+        selected_model: Currently selected model
+        session_history: Conversation history
+        session_system_prompt: Current system prompt
+        memory_enabled: Whether memory is enabled
+        online_enabled: Whether online mode is enabled
+        session_tokens: Session token counts
+        session_cost: Session cost total
+    """
+
+    settings: Optional["Settings"] = None
+    provider: Optional["AIProvider"] = None
+    mcp_manager: Optional["MCPManager"] = None
+    selected_model: Optional["ModelInfo"] = None
+    selected_model_raw: Optional[Dict[str, Any]] = None
+    session_history: List[Dict[str, Any]] = field(default_factory=list)
+    session_system_prompt: str = ""
+    memory_enabled: bool = True
+    memory_start_index: int = 0
+    online_enabled: bool = False
+    middle_out_enabled: bool = False
+    session_max_token: int = 0
+    total_input_tokens: int = 0
+    total_output_tokens: int = 0
+    total_cost: float = 0.0
+    message_count: int = 0
+    is_tui: bool = False  # Flag for TUI mode
+    current_index: int = 0
+
+
+@dataclass
+class CommandHelp:
+    """
+    Help information for a command.
+
+    Attributes:
+        description: Brief description
+        usage: Usage syntax
+        examples: List of (description, example) tuples
+        notes: Additional notes
+        aliases: Command aliases
+    """
+
+    description: str
+    usage: str = ""
+    examples: List[tuple] = field(default_factory=list)
+    notes: str = ""
+    aliases: List[str] = field(default_factory=list)
+
+
+class Command(ABC):
+    """
+    Abstract base class for all commands.
+
+    Commands implement the execute method to handle their logic.
+    They can also provide help information and aliases.
+    """
+
+    @property
+    @abstractmethod
+    def name(self) -> str:
+        """Get the primary command name (e.g., '/help')."""
+        pass
+
+    @property
+    def aliases(self) -> List[str]:
+        """Get command aliases (e.g., ['/h'] for help)."""
+        return []
+
+    @property
+    @abstractmethod
+    def help(self) -> CommandHelp:
+        """Get command help information."""
+        pass
+
+    @abstractmethod
+    def execute(self, args: str, context: CommandContext) -> CommandResult:
+        """
+        Execute the command.
+
+        Args:
+            args: Arguments passed to the command
+            context: Command execution context
+
+        Returns:
+            CommandResult indicating success/failure
+        """
+        pass
+
+    def matches(self, input_text: str) -> bool:
+        """
+        Check if this command matches the input.
+
+        Args:
+            input_text: User input text
+
+        Returns:
+            True if this command should handle the input
+        """
+        input_lower = input_text.lower()
+        cmd_word = input_lower.split()[0] if input_lower.split() else ""
+
+        # Check primary name
+        if cmd_word == self.name.lower():
+            return True
+
+        # Check aliases
+        for alias in self.aliases:
+            if cmd_word == alias.lower():
+                return True
+
+        return False
+
+    def get_args(self, input_text: str) -> str:
+        """
+        Extract arguments from the input text.
+
+        Args:
+            input_text: Full user input
+
+        Returns:
+            Arguments portion of the input
+        """
+        parts = input_text.split(maxsplit=1)
+        return parts[1] if len(parts) > 1 else ""
+
+
+class CommandRegistry:
+    """
+    Registry for managing available commands.
+
+    Provides registration, lookup, and execution of commands.
+    """
+
+    def __init__(self):
+        """Initialize an empty command registry."""
+        self._commands: Dict[str, Command] = {}
+        self._aliases: Dict[str, str] = {}
+        self.logger = get_logger()
+
+    def register(self, command: Command) -> None:
+        """
+        Register a command.
+
+        Args:
+            command: Command instance to register
+
+        Raises:
+            ValueError: If command name already registered
+        """
+        name = command.name.lower()
+
+        if name in self._commands:
+            raise ValueError(f"Command '{name}' already registered")
+
+        self._commands[name] = command
+
+        # Register aliases
+        for alias in command.aliases:
+            alias_lower = alias.lower()
+            if alias_lower in self._aliases:
+                self.logger.warning(
+                    f"Alias '{alias}' already registered, overwriting"
+                )
+            self._aliases[alias_lower] = name
+
+        self.logger.debug(f"Registered command: {name}")
+
+    def register_function(
+        self,
+        name: str,
+        handler: Callable[[str, CommandContext], CommandResult],
+        description: str,
+        usage: str = "",
+        aliases: Optional[List[str]] = None,
+        examples: Optional[List[tuple]] = None,
+        notes: str = "",
+    ) -> None:
+        """
+        Register a function-based command.
+
+        Convenience method for simple commands that don't need
+        a full Command class.
+
+        Args:
+            name: Command name (e.g., '/help')
+            handler: Function to execute
+            description: Help description
+            usage: Usage syntax
+            aliases: Command aliases
+            examples: Example usages
+            notes: Additional notes
+        """
+        aliases = aliases or []
+        examples = examples or []
+
+        class FunctionCommand(Command):
+            @property
+            def name(self) -> str:
+                return name
+
+            @property
+            def aliases(self) -> List[str]:
+                return aliases
+
+            @property
+            def help(self) -> CommandHelp:
+                return CommandHelp(
+                    description=description,
+                    usage=usage,
+                    examples=examples,
+                    notes=notes,
+                    aliases=aliases,
+                )
+
+            def execute(self, args: str, context: CommandContext) -> CommandResult:
+                return handler(args, context)
+
+        self.register(FunctionCommand())
+
+    def get(self, name: str) -> Optional[Command]:
+        """
+        Get a command by name or alias.
+
+        Args:
+            name: Command name or alias
+
+        Returns:
+            Command instance or None if not found
+        """
+        name_lower = name.lower()
+
+        # Check direct match
+        if name_lower in self._commands:
+            return self._commands[name_lower]
+
+        # Check aliases
+        if name_lower in self._aliases:
+            return self._commands[self._aliases[name_lower]]
+
+        return None
+
+    def find(self, input_text: str) -> Optional[Command]:
+        """
+        Find a command that matches the input.
+
+        Args:
+            input_text: User input text
+
+        Returns:
+            Matching Command or None
+        """
+        cmd_word = input_text.lower().split()[0] if input_text.split() else ""
+        return self.get(cmd_word)
+
+    def execute(self, input_text: str, context: CommandContext) -> Optional[CommandResult]:
+        """
+        Execute a command matching the input.
+
+        Args:
+            input_text: User input text
+            context: Execution context
+
+        Returns:
+            CommandResult or None if no matching command
+        """
+        command = self.find(input_text)
+        if command:
+            args = command.get_args(input_text)
+            self.logger.debug(f"Executing command: {command.name} with args: {args}")
+            return command.execute(args, context)
+        return None
+
+    def is_command(self, input_text: str) -> bool:
+        """
+        Check if input is a valid command.
+
+        Args:
+            input_text: User input text
+
+        Returns:
+            True if input matches a registered command
+        """
+        return self.find(input_text) is not None
+
+    def list_commands(self) -> List[Command]:
+        """
+        Get all registered commands.
+
+        Returns:
+            List of Command instances
+        """
+        return list(self._commands.values())
+
+    def get_all_names(self) -> List[str]:
+        """
+        Get all command names and aliases.
+
+        Returns:
+            List of command names including aliases
+        """
+        names = list(self._commands.keys())
+        names.extend(self._aliases.keys())
+        return sorted(set(names))
+
+
+# Global registry instance
+registry = CommandRegistry()

oai/config/__init__.py

@@ -0,0 +1,11 @@
+"""
+Configuration management for oAI.
+
+This package handles all configuration persistence, settings management,
+and database operations for the application.
+"""
+
+from oai.config.settings import Settings
+from oai.config.database import Database
+
+__all__ = ["Settings", "Database"]

oai/config/database.py

@@ -0,0 +1,472 @@
+"""
+Database persistence layer for oAI.
+
+This module provides a clean abstraction for SQLite operations including
+configuration storage, conversation persistence, and MCP statistics tracking.
+All database operations are centralized here for maintainability.
+"""
+
+import sqlite3
+import json
+import datetime
+from pathlib import Path
+from typing import Optional, List, Dict, Any
+from contextlib import contextmanager
+
+from oai.constants import DATABASE_FILE, CONFIG_DIR
+
+
+class Database:
+    """
+    SQLite database manager for oAI.
+
+    Handles all database operations including:
+    - Configuration key-value storage
+    - Conversation session persistence
+    - MCP configuration and statistics
+    - Database registrations for MCP
+
+    Uses context managers for safe connection handling and supports
+    automatic table creation on first use.
+    """
+
+    def __init__(self, db_path: Optional[Path] = None):
+        """
+        Initialize the database manager.
+
+        Args:
+            db_path: Optional custom database path. Defaults to standard location.
+        """
+        self.db_path = db_path or DATABASE_FILE
+        self._ensure_directories()
+        self._ensure_tables()
+
+    def _ensure_directories(self) -> None:
+        """Ensure the configuration directory exists."""
+        CONFIG_DIR.mkdir(parents=True, exist_ok=True)
+
+    @contextmanager
+    def _connection(self):
+        """
+        Context manager for database connections.
+
+        Yields:
+            sqlite3.Connection: Active database connection
+
+        Example:
+            with self._connection() as conn:
+                conn.execute("SELECT * FROM config")
+        """
+        conn = sqlite3.connect(str(self.db_path))
+        try:
+            yield conn
+            conn.commit()
+        except Exception:
+            conn.rollback()
+            raise
+        finally:
+            conn.close()
+
+    def _ensure_tables(self) -> None:
+        """Create all required tables if they don't exist."""
+        with self._connection() as conn:
+            # Main configuration table
+            conn.execute("""
+                CREATE TABLE IF NOT EXISTS config (
+                    key TEXT PRIMARY KEY,
+                    value TEXT NOT NULL
+                )
+            """)
+
+            # Conversation sessions table
+            conn.execute("""
+                CREATE TABLE IF NOT EXISTS conversation_sessions (
+                    id INTEGER PRIMARY KEY AUTOINCREMENT,
+                    name TEXT NOT NULL,
+                    timestamp TEXT NOT NULL,
+                    data TEXT NOT NULL
+                )
+            """)
+
+            # MCP configuration table
+            conn.execute("""
+                CREATE TABLE IF NOT EXISTS mcp_config (
+                    key TEXT PRIMARY KEY,
+                    value TEXT NOT NULL
+                )
+            """)
+
+            # MCP statistics table
+            conn.execute("""
+                CREATE TABLE IF NOT EXISTS mcp_stats (
+                    id INTEGER PRIMARY KEY AUTOINCREMENT,
+                    timestamp TEXT NOT NULL,
+                    tool_name TEXT NOT NULL,
+                    folder TEXT,
+                    success INTEGER NOT NULL,
+                    error_message TEXT
+                )
+            """)
+
+            # MCP databases table
+            conn.execute("""
+                CREATE TABLE IF NOT EXISTS mcp_databases (
+                    id INTEGER PRIMARY KEY AUTOINCREMENT,
+                    path TEXT NOT NULL UNIQUE,
+                    name TEXT NOT NULL,
+                    size INTEGER,
+                    tables TEXT,
+                    added_timestamp TEXT NOT NULL
+                )
+            """)
+
+    # =========================================================================
+    # CONFIGURATION METHODS
+    # =========================================================================
+
+    def get_config(self, key: str) -> Optional[str]:
+        """
+        Retrieve a configuration value by key.
+
+        Args:
+            key: The configuration key to retrieve
+
+        Returns:
+            The configuration value, or None if not found
+        """
+        with self._connection() as conn:
+            cursor = conn.execute(
+                "SELECT value FROM config WHERE key = ?",
+                (key,)
+            )
+            result = cursor.fetchone()
+            return result[0] if result else None
+
+    def set_config(self, key: str, value: str) -> None:
+        """
+        Set a configuration value.
+
+        Args:
+            key: The configuration key
+            value: The value to store
+        """
+        with self._connection() as conn:
+            conn.execute(
+                "INSERT OR REPLACE INTO config (key, value) VALUES (?, ?)",
+                (key, value)
+            )
+
+    def delete_config(self, key: str) -> bool:
+        """
+        Delete a configuration value.
+
+        Args:
+            key: The configuration key to delete
+
+        Returns:
+            True if a row was deleted, False otherwise
+        """
+        with self._connection() as conn:
+            cursor = conn.execute(
+                "DELETE FROM config WHERE key = ?",
+                (key,)
+            )
+            return cursor.rowcount > 0
+
+    def get_all_config(self) -> Dict[str, str]:
+        """
+        Retrieve all configuration values.
+
+        Returns:
+            Dictionary of all key-value pairs
+        """
+        with self._connection() as conn:
+            cursor = conn.execute("SELECT key, value FROM config")
+            return dict(cursor.fetchall())
+
+    # =========================================================================
+    # MCP CONFIGURATION METHODS
+    # =========================================================================
+
+    def get_mcp_config(self, key: str) -> Optional[str]:
+        """
+        Retrieve an MCP configuration value.
+
+        Args:
+            key: The MCP configuration key
+
+        Returns:
+            The configuration value, or None if not found
+        """
+        with self._connection() as conn:
+            cursor = conn.execute(
+                "SELECT value FROM mcp_config WHERE key = ?",
+                (key,)
+            )
+            result = cursor.fetchone()
+            return result[0] if result else None
+
+    def set_mcp_config(self, key: str, value: str) -> None:
+        """
+        Set an MCP configuration value.
+
+        Args:
+            key: The MCP configuration key
+            value: The value to store
+        """
+        with self._connection() as conn:
+            conn.execute(
+                "INSERT OR REPLACE INTO mcp_config (key, value) VALUES (?, ?)",
+                (key, value)
+            )
+
+    # =========================================================================
+    # MCP STATISTICS METHODS
+    # =========================================================================
+
+    def log_mcp_stat(
+        self,
+        tool_name: str,
+        folder: Optional[str],
+        success: bool,
+        error_message: Optional[str] = None
+    ) -> None:
+        """
+        Log an MCP tool usage event.
+
+        Args:
+            tool_name: Name of the MCP tool that was called
+            folder: The folder path involved (if any)
+            success: Whether the call succeeded
+            error_message: Error message if the call failed
+        """
+        timestamp = datetime.datetime.now().isoformat()
+        with self._connection() as conn:
+            conn.execute(
+                """INSERT INTO mcp_stats
+                   (timestamp, tool_name, folder, success, error_message)
+                   VALUES (?, ?, ?, ?, ?)""",
+                (timestamp, tool_name, folder, 1 if success else 0, error_message)
+            )
+
+    def get_mcp_stats(self) -> Dict[str, Any]:
+        """
+        Get aggregated MCP usage statistics.
+
+        Returns:
+            Dictionary containing usage statistics:
+            - total_calls: Total number of tool calls
+            - reads: Number of file reads
+            - lists: Number of directory listings
+            - searches: Number of file searches
+            - db_inspects: Number of database inspections
+            - db_searches: Number of database searches
+            - db_queries: Number of database queries
+            - last_used: Timestamp of last usage
+        """
+        with self._connection() as conn:
+            cursor = conn.execute("""
+                SELECT
+                    COUNT(*) as total_calls,
+                    SUM(CASE WHEN tool_name = 'read_file' THEN 1 ELSE 0 END) as reads,
+                    SUM(CASE WHEN tool_name = 'list_directory' THEN 1 ELSE 0 END) as lists,
+                    SUM(CASE WHEN tool_name = 'search_files' THEN 1 ELSE 0 END) as searches,
+                    SUM(CASE WHEN tool_name = 'inspect_database' THEN 1 ELSE 0 END) as db_inspects,
+                    SUM(CASE WHEN tool_name = 'search_database' THEN 1 ELSE 0 END) as db_searches,
+                    SUM(CASE WHEN tool_name = 'query_database' THEN 1 ELSE 0 END) as db_queries,
+                    MAX(timestamp) as last_used
+                FROM mcp_stats
+            """)
+            row = cursor.fetchone()
+            return {
+                "total_calls": row[0] or 0,
+                "reads": row[1] or 0,
+                "lists": row[2] or 0,
+                "searches": row[3] or 0,
+                "db_inspects": row[4] or 0,
+                "db_searches": row[5] or 0,
+                "db_queries": row[6] or 0,
+                "last_used": row[7],
+            }
+
+    # =========================================================================
+    # MCP DATABASE REGISTRY METHODS
+    # =========================================================================
+
+    def add_mcp_database(self, db_info: Dict[str, Any]) -> int:
+        """
+        Register a database for MCP access.
+
+        Args:
+            db_info: Dictionary containing:
+                - path: Database file path
+                - name: Display name
+                - size: File size in bytes
+                - tables: List of table names
+                - added: Timestamp when added
+
+        Returns:
+            The database ID
+        """
+        with self._connection() as conn:
+            conn.execute(
+                """INSERT INTO mcp_databases
+                   (path, name, size, tables, added_timestamp)
+                   VALUES (?, ?, ?, ?, ?)""",
+                (
+                    db_info["path"],
+                    db_info["name"],
+                    db_info["size"],
+                    json.dumps(db_info["tables"]),
+                    db_info["added"]
+                )
+            )
+            cursor = conn.execute(
+                "SELECT id FROM mcp_databases WHERE path = ?",
+                (db_info["path"],)
+            )
+            return cursor.fetchone()[0]
+
+    def remove_mcp_database(self, db_path: str) -> bool:
+        """
+        Remove a database from the MCP registry.
+
+        Args:
+            db_path: Path to the database file
+
+        Returns:
+            True if a row was deleted, False otherwise
+        """
+        with self._connection() as conn:
+            cursor = conn.execute(
+                "DELETE FROM mcp_databases WHERE path = ?",
+                (db_path,)
+            )
+            return cursor.rowcount > 0
+
+    def get_mcp_databases(self) -> List[Dict[str, Any]]:
+        """
+        Retrieve all registered MCP databases.
+
+        Returns:
+            List of database information dictionaries
+        """
+        with self._connection() as conn:
+            cursor = conn.execute(
+                """SELECT id, path, name, size, tables, added_timestamp
+                   FROM mcp_databases ORDER BY id"""
+            )
+            databases = []
+            for row in cursor.fetchall():
+                tables_list = json.loads(row[4]) if row[4] else []
+                databases.append({
+                    "id": row[0],
+                    "path": row[1],
+                    "name": row[2],
+                    "size": row[3],
+                    "tables": tables_list,
+                    "added": row[5],
+                })
+            return databases
+
+    # =========================================================================
+    # CONVERSATION METHODS
+    # =========================================================================
+
+    def save_conversation(self, name: str, data: List[Dict[str, str]]) -> None:
+        """
+        Save a conversation session.
+
+        Args:
+            name: Name/identifier for the conversation
+            data: List of message dictionaries with 'prompt' and 'response' keys
+        """
+        timestamp = datetime.datetime.now().isoformat()
+        data_json = json.dumps(data)
+        with self._connection() as conn:
+            conn.execute(
+                """INSERT INTO conversation_sessions
+                   (name, timestamp, data) VALUES (?, ?, ?)""",
+                (name, timestamp, data_json)
+            )
+
+    def load_conversation(self, name: str) -> Optional[List[Dict[str, str]]]:
+        """
+        Load a conversation by name.
+
+        Args:
+            name: Name of the conversation to load
+
+        Returns:
+            List of messages, or None if not found
+        """
+        with self._connection() as conn:
+            cursor = conn.execute(
+                """SELECT data FROM conversation_sessions
+                   WHERE name = ?
+                   ORDER BY timestamp DESC LIMIT 1""",
+                (name,)
+            )
+            result = cursor.fetchone()
+            if result:
+                return json.loads(result[0])
+            return None
+
+    def delete_conversation(self, name: str) -> int:
+        """
+        Delete a conversation by name.
+
+        Args:
+            name: Name of the conversation to delete
+
+        Returns:
+            Number of rows deleted
+        """
+        with self._connection() as conn:
+            cursor = conn.execute(
+                "DELETE FROM conversation_sessions WHERE name = ?",
+                (name,)
+            )
+            return cursor.rowcount
+
+    def list_conversations(self) -> List[Dict[str, Any]]:
+        """
+        List all saved conversations.
+
+        Returns:
+            List of conversation summaries with name, timestamp, and message_count
+        """
+        with self._connection() as conn:
+            cursor = conn.execute("""
+                SELECT name, MAX(timestamp) as last_saved, data
+                FROM conversation_sessions
+                GROUP BY name
+                ORDER BY last_saved DESC
+            """)
+            conversations = []
+            for row in cursor.fetchall():
+                name, timestamp, data_json = row
+                data = json.loads(data_json)
+                conversations.append({
+                    "name": name,
+                    "timestamp": timestamp,
+                    "message_count": len(data),
+                })
+            return conversations
+
+
+# Global database instance for convenience
+_db: Optional[Database] = None
+
+
+def get_database() -> Database:
+    """
+    Get the global database instance.
+
+    Returns:
+        The shared Database instance
+    """
+    global _db
+    if _db is None:
+        _db = Database()
+    return _db

oai/config/settings.py

@@ -0,0 +1,361 @@
+"""
+Settings management for oAI.
+
+This module provides a centralized settings class that handles all application
+configuration with type safety, validation, and persistence.
+"""
+
+from dataclasses import dataclass, field
+from typing import Optional
+from pathlib import Path
+
+from oai.constants import (
+    DEFAULT_BASE_URL,
+    DEFAULT_STREAM_ENABLED,
+    DEFAULT_MAX_TOKENS,
+    DEFAULT_ONLINE_MODE,
+    DEFAULT_COST_WARNING_THRESHOLD,
+    DEFAULT_LOG_MAX_SIZE_MB,
+    DEFAULT_LOG_BACKUP_COUNT,
+    DEFAULT_LOG_LEVEL,
+    DEFAULT_SYSTEM_PROMPT,
+    VALID_LOG_LEVELS,
+)
+from oai.config.database import get_database
+
+
+@dataclass
+class Settings:
+    """
+    Application settings with persistence support.
+
+    This class provides a clean interface for managing all configuration
+    options. Settings are automatically loaded from the database on
+    initialization and can be persisted back.
+
+    Attributes:
+        api_key: OpenRouter API key
+        base_url: API base URL
+        default_model: Default model ID to use
+        default_system_prompt: Custom system prompt (None = use hardcoded default, "" = blank)
+        stream_enabled: Whether to stream responses
+        max_tokens: Maximum tokens per request
+        cost_warning_threshold: Alert threshold for message cost
+        default_online_mode: Whether online mode is enabled by default
+        log_max_size_mb: Maximum log file size in MB
+        log_backup_count: Number of log file backups to keep
+        log_level: Logging level (debug/info/warning/error/critical)
+    """
+
+    api_key: Optional[str] = None
+    base_url: str = DEFAULT_BASE_URL
+    default_model: Optional[str] = None
+    default_system_prompt: Optional[str] = None
+    stream_enabled: bool = DEFAULT_STREAM_ENABLED
+    max_tokens: int = DEFAULT_MAX_TOKENS
+    cost_warning_threshold: float = DEFAULT_COST_WARNING_THRESHOLD
+    default_online_mode: bool = DEFAULT_ONLINE_MODE
+    log_max_size_mb: int = DEFAULT_LOG_MAX_SIZE_MB
+    log_backup_count: int = DEFAULT_LOG_BACKUP_COUNT
+    log_level: str = DEFAULT_LOG_LEVEL
+
+    @property
+    def effective_system_prompt(self) -> str:
+        """
+        Get the effective system prompt to use.
+
+        Returns:
+            The custom prompt if set, hardcoded default if None, or blank if explicitly set to ""
+        """
+        if self.default_system_prompt is None:
+            return DEFAULT_SYSTEM_PROMPT
+        return self.default_system_prompt
+
+    def __post_init__(self):
+        """Validate settings after initialization."""
+        self._validate()
+
+    def _validate(self) -> None:
+        """Validate all settings values."""
+        # Validate log level
+        if self.log_level.lower() not in VALID_LOG_LEVELS:
+            raise ValueError(
+                f"Invalid log level: {self.log_level}. "
+                f"Must be one of: {', '.join(VALID_LOG_LEVELS.keys())}"
+            )
+
+        # Validate numeric bounds
+        if self.max_tokens < 1:
+            raise ValueError("max_tokens must be at least 1")
+
+        if self.cost_warning_threshold < 0:
+            raise ValueError("cost_warning_threshold must be non-negative")
+
+        if self.log_max_size_mb < 1:
+            raise ValueError("log_max_size_mb must be at least 1")
+
+        if self.log_backup_count < 0:
+            raise ValueError("log_backup_count must be non-negative")
+
+    @classmethod
+    def load(cls) -> "Settings":
+        """
+        Load settings from the database.
+
+        Returns:
+            Settings instance with values from database
+        """
+        db = get_database()
+
+        # Helper to safely parse boolean
+        def parse_bool(value: Optional[str], default: bool) -> bool:
+            if value is None:
+                return default
+            return value.lower() in ("on", "true", "1", "yes")
+
+        # Helper to safely parse int
+        def parse_int(value: Optional[str], default: int) -> int:
+            if value is None:
+                return default
+            try:
+                return int(value)
+            except ValueError:
+                return default
+
+        # Helper to safely parse float
+        def parse_float(value: Optional[str], default: float) -> float:
+            if value is None:
+                return default
+            try:
+                return float(value)
+            except ValueError:
+                return default
+
+        # Get system prompt from DB: None means not set (use default), "" means explicitly blank
+        system_prompt_value = db.get_config("default_system_prompt")
+
+        return cls(
+            api_key=db.get_config("api_key"),
+            base_url=db.get_config("base_url") or DEFAULT_BASE_URL,
+            default_model=db.get_config("default_model"),
+            default_system_prompt=system_prompt_value,
+            stream_enabled=parse_bool(
+                db.get_config("stream_enabled"),
+                DEFAULT_STREAM_ENABLED
+            ),
+            max_tokens=parse_int(
+                db.get_config("max_token"),
+                DEFAULT_MAX_TOKENS
+            ),
+            cost_warning_threshold=parse_float(
+                db.get_config("cost_warning_threshold"),
+                DEFAULT_COST_WARNING_THRESHOLD
+            ),
+            default_online_mode=parse_bool(
+                db.get_config("default_online_mode"),
+                DEFAULT_ONLINE_MODE
+            ),
+            log_max_size_mb=parse_int(
+                db.get_config("log_max_size_mb"),
+                DEFAULT_LOG_MAX_SIZE_MB
+            ),
+            log_backup_count=parse_int(
+                db.get_config("log_backup_count"),
+                DEFAULT_LOG_BACKUP_COUNT
+            ),
+            log_level=db.get_config("log_level") or DEFAULT_LOG_LEVEL,
+        )
+
+    def save(self) -> None:
+        """Persist all settings to the database."""
+        db = get_database()
+
+        # Only save API key if it exists
+        if self.api_key:
+            db.set_config("api_key", self.api_key)
+
+        db.set_config("base_url", self.base_url)
+
+        if self.default_model:
+            db.set_config("default_model", self.default_model)
+
+        # Save system prompt: None means not set (don't save), otherwise save the value (even if "")
+        if self.default_system_prompt is not None:
+            db.set_config("default_system_prompt", self.default_system_prompt)
+
+        db.set_config("stream_enabled", "on" if self.stream_enabled else "off")
+        db.set_config("max_token", str(self.max_tokens))
+        db.set_config("cost_warning_threshold", str(self.cost_warning_threshold))
+        db.set_config("default_online_mode", "on" if self.default_online_mode else "off")
+        db.set_config("log_max_size_mb", str(self.log_max_size_mb))
+        db.set_config("log_backup_count", str(self.log_backup_count))
+        db.set_config("log_level", self.log_level)
+
+    def set_api_key(self, api_key: str) -> None:
+        """
+        Set and persist the API key.
+
+        Args:
+            api_key: The new API key
+        """
+        self.api_key = api_key.strip()
+        get_database().set_config("api_key", self.api_key)
+
+    def set_base_url(self, url: str) -> None:
+        """
+        Set and persist the base URL.
+
+        Args:
+            url: The new base URL
+        """
+        self.base_url = url.strip()
+        get_database().set_config("base_url", self.base_url)
+
+    def set_default_model(self, model_id: str) -> None:
+        """
+        Set and persist the default model.
+
+        Args:
+            model_id: The model ID to set as default
+        """
+        self.default_model = model_id
+        get_database().set_config("default_model", model_id)
+
+    def set_default_system_prompt(self, prompt: str) -> None:
+        """
+        Set and persist the default system prompt.
+
+        Args:
+            prompt: The system prompt to use for all new sessions.
+                   Empty string "" means blank prompt (no system message).
+        """
+        self.default_system_prompt = prompt
+        get_database().set_config("default_system_prompt", prompt)
+
+    def clear_default_system_prompt(self) -> None:
+        """
+        Clear the custom system prompt and revert to hardcoded default.
+
+        This removes the custom prompt from the database, causing the
+        application to use the built-in DEFAULT_SYSTEM_PROMPT.
+        """
+        self.default_system_prompt = None
+        # Remove from database to indicate "not set"
+        db = get_database()
+        with db._connection() as conn:
+            conn.execute("DELETE FROM config WHERE key = ?", ("default_system_prompt",))
+            conn.commit()
+
+    def set_stream_enabled(self, enabled: bool) -> None:
+        """
+        Set and persist the streaming preference.
+
+        Args:
+            enabled: Whether to enable streaming
+        """
+        self.stream_enabled = enabled
+        get_database().set_config("stream_enabled", "on" if enabled else "off")
+
+    def set_max_tokens(self, max_tokens: int) -> None:
+        """
+        Set and persist the maximum tokens.
+
+        Args:
+            max_tokens: Maximum number of tokens
+
+        Raises:
+            ValueError: If max_tokens is less than 1
+        """
+        if max_tokens < 1:
+            raise ValueError("max_tokens must be at least 1")
+        self.max_tokens = max_tokens
+        get_database().set_config("max_token", str(max_tokens))
+
+    def set_cost_warning_threshold(self, threshold: float) -> None:
+        """
+        Set and persist the cost warning threshold.
+
+        Args:
+            threshold: Cost threshold in USD
+
+        Raises:
+            ValueError: If threshold is negative
+        """
+        if threshold < 0:
+            raise ValueError("cost_warning_threshold must be non-negative")
+        self.cost_warning_threshold = threshold
+        get_database().set_config("cost_warning_threshold", str(threshold))
+
+    def set_default_online_mode(self, enabled: bool) -> None:
+        """
+        Set and persist the default online mode.
+
+        Args:
+            enabled: Whether online mode should be enabled by default
+        """
+        self.default_online_mode = enabled
+        get_database().set_config("default_online_mode", "on" if enabled else "off")
+
+    def set_log_level(self, level: str) -> None:
+        """
+        Set and persist the log level.
+
+        Args:
+            level: The log level (debug/info/warning/error/critical)
+
+        Raises:
+            ValueError: If level is not valid
+        """
+        level_lower = level.lower()
+        if level_lower not in VALID_LOG_LEVELS:
+            raise ValueError(
+                f"Invalid log level: {level}. "
+                f"Must be one of: {', '.join(VALID_LOG_LEVELS.keys())}"
+            )
+        self.log_level = level_lower
+        get_database().set_config("log_level", level_lower)
+
+    def set_log_max_size(self, size_mb: int) -> None:
+        """
+        Set and persist the maximum log file size.
+
+        Args:
+            size_mb: Maximum size in megabytes
+
+        Raises:
+            ValueError: If size_mb is less than 1
+        """
+        if size_mb < 1:
+            raise ValueError("log_max_size_mb must be at least 1")
+        # Cap at 100 MB for safety
+        self.log_max_size_mb = min(size_mb, 100)
+        get_database().set_config("log_max_size_mb", str(self.log_max_size_mb))
+
+
+# Global settings instance
+_settings: Optional[Settings] = None
+
+
+def get_settings() -> Settings:
+    """
+    Get the global settings instance.
+
+    Returns:
+        The shared Settings instance, loading from database if needed
+    """
+    global _settings
+    if _settings is None:
+        _settings = Settings.load()
+    return _settings
+
+
+def reload_settings() -> Settings:
+    """
+    Force reload settings from the database.
+
+    Returns:
+        Fresh Settings instance
+    """
+    global _settings
+    _settings = Settings.load()
+    return _settings

oai/constants.py

@@ -0,0 +1,451 @@
+"""
+Application-wide constants for oAI.
+
+This module contains all configuration constants, default values, and static
+definitions used throughout the application. Centralizing these values makes
+the codebase easier to maintain and configure.
+"""
+
+from pathlib import Path
+from typing import Set, Dict, Any
+import logging
+
+# Import version from single source of truth
+from oai import __version__
+
+# =============================================================================
+# APPLICATION METADATA
+# =============================================================================
+
+APP_NAME = "oAI"
+APP_VERSION = __version__  # Single source of truth in oai/__init__.py
+APP_URL = "https://iurl.no/oai"
+APP_DESCRIPTION = "OpenRouter AI Chat Client with MCP Integration"
+
+# =============================================================================
+# FILE PATHS
+# =============================================================================
+
+HOME_DIR = Path.home()
+CONFIG_DIR = HOME_DIR / ".config" / "oai"
+CACHE_DIR = HOME_DIR / ".cache" / "oai"
+HISTORY_FILE = CONFIG_DIR / "history.txt"
+DATABASE_FILE = CONFIG_DIR / "oai_config.db"
+LOG_FILE = CONFIG_DIR / "oai.log"
+
+# =============================================================================
+# API CONFIGURATION
+# =============================================================================
+
+DEFAULT_BASE_URL = "https://openrouter.ai/api/v1"
+DEFAULT_STREAM_ENABLED = True
+DEFAULT_MAX_TOKENS = 100_000
+DEFAULT_ONLINE_MODE = False
+
+# =============================================================================
+# DEFAULT SYSTEM PROMPT
+# =============================================================================
+
+DEFAULT_SYSTEM_PROMPT = (
+    "You are a knowledgeable and helpful AI assistant. Provide clear, accurate, "
+    "and well-structured responses. Be concise yet thorough. When uncertain about "
+    "something, acknowledge your limitations. For technical topics, include relevant "
+    "details and examples when helpful."
+)
+
+# =============================================================================
+# PRICING DEFAULTS (per million tokens)
+# =============================================================================
+
+DEFAULT_INPUT_PRICE = 3.0
+DEFAULT_OUTPUT_PRICE = 15.0
+
+MODEL_PRICING: Dict[str, float] = {
+    "input": DEFAULT_INPUT_PRICE,
+    "output": DEFAULT_OUTPUT_PRICE,
+}
+
+# =============================================================================
+# CREDIT ALERTS
+# =============================================================================
+
+LOW_CREDIT_RATIO = 0.1  # Alert when credits < 10% of total
+LOW_CREDIT_AMOUNT = 1.0  # Alert when credits < $1.00
+DEFAULT_COST_WARNING_THRESHOLD = 0.01  # Alert when single message cost exceeds this
+COST_WARNING_THRESHOLD = DEFAULT_COST_WARNING_THRESHOLD  # Alias for convenience
+
+# =============================================================================
+# LOGGING CONFIGURATION
+# =============================================================================
+
+DEFAULT_LOG_MAX_SIZE_MB = 10
+DEFAULT_LOG_BACKUP_COUNT = 2
+DEFAULT_LOG_LEVEL = "info"
+
+VALID_LOG_LEVELS: Dict[str, int] = {
+    "debug": logging.DEBUG,
+    "info": logging.INFO,
+    "warning": logging.WARNING,
+    "error": logging.ERROR,
+    "critical": logging.CRITICAL,
+}
+
+# =============================================================================
+# FILE HANDLING
+# =============================================================================
+
+# Maximum file size for reading (10 MB)
+MAX_FILE_SIZE = 10 * 1024 * 1024
+
+# Content truncation threshold (50 KB)
+CONTENT_TRUNCATION_THRESHOLD = 50 * 1024
+
+# Maximum items in directory listing
+MAX_LIST_ITEMS = 1000
+
+# Supported code file extensions for syntax highlighting
+SUPPORTED_CODE_EXTENSIONS: Set[str] = {
+    ".py", ".js", ".ts", ".cs", ".java", ".c", ".cpp", ".h", ".hpp",
+    ".rb", ".ruby", ".php", ".swift", ".kt", ".kts", ".go",
+    ".sh", ".bat", ".ps1", ".r", ".scala", ".pl", ".lua", ".dart",
+    ".elm", ".xml", ".json", ".yaml", ".yml", ".md", ".txt",
+}
+
+# All allowed file extensions for attachment
+ALLOWED_FILE_EXTENSIONS: Set[str] = {
+    # Code files
+    ".py", ".js", ".ts", ".jsx", ".tsx", ".vue", ".java", ".c", ".cpp", ".cc", ".cxx",
+    ".h", ".hpp", ".hxx", ".rb", ".go", ".rs", ".swift", ".kt", ".kts", ".php",
+    ".sh", ".bash", ".zsh", ".fish", ".bat", ".cmd", ".ps1",
+    # Data files
+    ".json", ".csv", ".yaml", ".yml", ".toml", ".xml", ".sql", ".db", ".sqlite", ".sqlite3",
+    # Documents
+    ".txt", ".md", ".log", ".conf", ".cfg", ".ini", ".env", ".properties",
+    # Images
+    ".png", ".jpg", ".jpeg", ".gif", ".bmp", ".webp", ".svg", ".ico",
+    # Archives
+    ".zip", ".tar", ".gz", ".bz2", ".7z", ".rar", ".xz",
+    # Config files
+    ".lock", ".gitignore", ".dockerignore", ".editorconfig", ".eslintrc",
+    ".prettierrc", ".babelrc", ".nvmrc", ".npmrc",
+    # Binary/Compiled
+    ".pyc", ".pyo", ".pyd", ".so", ".dll", ".dylib", ".exe", ".app",
+    ".dmg", ".pkg", ".deb", ".rpm", ".apk", ".ipa",
+    # ML/AI
+    ".pkl", ".pickle", ".joblib", ".npy", ".npz", ".safetensors", ".onnx",
+    ".pt", ".pth", ".ckpt", ".pb", ".tflite", ".mlmodel", ".coreml", ".rknn",
+    # Data formats
+    ".wasm", ".proto", ".graphql", ".graphqls", ".grpc", ".avro", ".parquet",
+    ".orc", ".feather", ".arrow", ".hdf5", ".h5", ".mat", ".rdata", ".rds",
+    # Other
+    ".pdf", ".class", ".jar", ".war",
+}
+
+# =============================================================================
+# SECURITY CONFIGURATION
+# =============================================================================
+
+# System directories that should never be accessed
+SYSTEM_DIRS_BLACKLIST: Set[str] = {
+    # macOS
+    "/System", "/Library", "/private", "/usr", "/bin", "/sbin",
+    # Linux
+    "/boot", "/dev", "/proc", "/sys", "/root",
+    # Windows
+    "C:\\Windows", "C:\\Program Files", "C:\\Program Files (x86)",
+}
+
+# Directories to skip during file operations
+SKIP_DIRECTORIES: Set[str] = {
+    # Python virtual environments
+    ".venv", "venv", "env", "virtualenv",
+    "site-packages", "dist-packages",
+    # Python caches
+    "__pycache__", ".pytest_cache", ".mypy_cache",
+    # JavaScript/Node
+    "node_modules",
+    # Version control
+    ".git", ".svn",
+    # IDEs
+    ".idea", ".vscode",
+    # Build directories
+    "build", "dist", "eggs", ".eggs",
+}
+
+# =============================================================================
+# DATABASE QUERIES - SQL SAFETY
+# =============================================================================
+
+# Maximum query execution timeout (seconds)
+MAX_QUERY_TIMEOUT = 5
+
+# Maximum rows returned from queries
+MAX_QUERY_RESULTS = 1000
+
+# Default rows per query
+DEFAULT_QUERY_LIMIT = 100
+
+# Keywords that are blocked in database queries
+DANGEROUS_SQL_KEYWORDS: Set[str] = {
+    "INSERT", "UPDATE", "DELETE", "DROP", "CREATE",
+    "ALTER", "TRUNCATE", "REPLACE", "ATTACH", "DETACH",
+    "PRAGMA", "VACUUM", "REINDEX",
+}
+
+# =============================================================================
+# MCP CONFIGURATION
+# =============================================================================
+
+# Maximum tool call iterations per request
+MAX_TOOL_LOOPS = 5
+
+# =============================================================================
+# VALID COMMANDS
+# =============================================================================
+
+VALID_COMMANDS: Set[str] = {
+    "/retry", "/online", "/memory", "/paste", "/export", "/save", "/load",
+    "/delete", "/list", "/prev", "/next", "/stats", "/middleout", "/reset",
+    "/info", "/model", "/maxtoken", "/system", "/config", "/credits", "/clear",
+    "/cl", "/help", "/mcp",
+}
+
+# =============================================================================
+# COMMAND HELP DATABASE
+# =============================================================================
+
+COMMAND_HELP: Dict[str, Dict[str, Any]] = {
+    "/clear": {
+        "aliases": ["/cl"],
+        "description": "Clear the terminal screen for a clean interface.",
+        "usage": "/clear\n/cl",
+        "examples": [
+            ("Clear screen", "/clear"),
+            ("Using short alias", "/cl"),
+        ],
+        "notes": "You can also use the keyboard shortcut Ctrl+L.",
+    },
+    "/help": {
+        "description": "Display help information for commands.",
+        "usage": "/help [command|topic]",
+        "examples": [
+            ("Show all commands", "/help"),
+            ("Get help for a specific command", "/help /model"),
+            ("Get detailed MCP help", "/help mcp"),
+        ],
+        "notes": "Use /help without arguments to see the full command list.",
+    },
+    "mcp": {
+        "description": "Complete guide to MCP (Model Context Protocol).",
+        "usage": "See detailed examples below",
+        "examples": [],
+        "notes": """
+MCP (Model Context Protocol) gives your AI assistant direct access to:
+  • Local files and folders (read, search, list)
+  • SQLite databases (inspect, search, query)
+
+FILE MODE (default):
+  /mcp on                       Start MCP server
+  /mcp add ~/Documents          Grant access to folder
+  /mcp list                     View all allowed folders
+
+DATABASE MODE:
+  /mcp add db ~/app/data.db     Add specific database
+  /mcp db list                  View all databases
+  /mcp db 1                     Work with database #1
+  /mcp files                    Switch back to file mode
+
+WRITE MODE (optional):
+  /mcp write on                 Enable file modifications
+  /mcp write off                Disable write mode (back to read-only)
+
+For command-specific help: /help /mcp
+        """,
+    },
+    "/mcp": {
+        "description": "Manage MCP for local file access and SQLite database querying.",
+        "usage": "/mcp <command> [args]",
+        "examples": [
+            ("Enable MCP server", "/mcp on"),
+            ("Disable MCP server", "/mcp off"),
+            ("Show MCP status", "/mcp status"),
+            ("", ""),
+            ("━━━ FILE MODE ━━━", ""),
+            ("Add folder for file access", "/mcp add ~/Documents"),
+            ("Remove folder", "/mcp remove ~/Desktop"),
+            ("List allowed folders", "/mcp list"),
+            ("Enable write mode", "/mcp write on"),
+            ("", ""),
+            ("━━━ DATABASE MODE ━━━", ""),
+            ("Add SQLite database", "/mcp add db ~/app/data.db"),
+            ("List all databases", "/mcp db list"),
+            ("Switch to database #1", "/mcp db 1"),
+            ("Switch back to file mode", "/mcp files"),
+        ],
+        "notes": "MCP allows AI to read local files and query SQLite databases.",
+    },
+    "/memory": {
+        "description": "Toggle conversation memory.",
+        "usage": "/memory [on|off]",
+        "examples": [
+            ("Check current memory status", "/memory"),
+            ("Enable conversation memory", "/memory on"),
+            ("Disable memory (save costs)", "/memory off"),
+        ],
+        "notes": "Memory is ON by default. Disabling saves tokens.",
+    },
+    "/online": {
+        "description": "Enable or disable online mode (web search).",
+        "usage": "/online [on|off]",
+        "examples": [
+            ("Check online mode status", "/online"),
+            ("Enable web search", "/online on"),
+            ("Disable web search", "/online off"),
+        ],
+        "notes": "Not all models support online mode.",
+    },
+    "/paste": {
+        "description": "Paste plain text from clipboard and send to the AI.",
+        "usage": "/paste [prompt]",
+        "examples": [
+            ("Paste clipboard content", "/paste"),
+            ("Paste with a question", "/paste Explain this code"),
+        ],
+        "notes": "Only plain text is supported.",
+    },
+    "/retry": {
+        "description": "Resend the last prompt from conversation history.",
+        "usage": "/retry",
+        "examples": [("Retry last message", "/retry")],
+        "notes": "Requires at least one message in history.",
+    },
+    "/next": {
+        "description": "View the next response in conversation history.",
+        "usage": "/next",
+        "examples": [("Navigate to next response", "/next")],
+        "notes": "Use /prev to go backward.",
+    },
+    "/prev": {
+        "description": "View the previous response in conversation history.",
+        "usage": "/prev",
+        "examples": [("Navigate to previous response", "/prev")],
+        "notes": "Use /next to go forward.",
+    },
+    "/reset": {
+        "description": "Clear conversation history and reset system prompt.",
+        "usage": "/reset",
+        "examples": [("Reset conversation", "/reset")],
+        "notes": "Requires confirmation.",
+    },
+    "/info": {
+        "description": "Display detailed information about a model.",
+        "usage": "/info [model_id]",
+        "examples": [
+            ("Show current model info", "/info"),
+            ("Show specific model info", "/info gpt-4o"),
+        ],
+        "notes": "Shows pricing, capabilities, and context length.",
+    },
+    "/model": {
+        "description": "Select or change the AI model.",
+        "usage": "/model [search_term]",
+        "examples": [
+            ("List all models", "/model"),
+            ("Search for GPT models", "/model gpt"),
+            ("Search for Claude models", "/model claude"),
+        ],
+        "notes": "Models are numbered for easy selection.",
+    },
+    "/config": {
+        "description": "View or modify application configuration.",
+        "usage": "/config [setting] [value]",
+        "examples": [
+            ("View all settings", "/config"),
+            ("Set API key", "/config api"),
+            ("Set default model", "/config model"),
+            ("Set system prompt", "/config system You are a helpful assistant"),
+            ("Enable streaming", "/config stream on"),
+        ],
+        "notes": "Available: api, url, model, system, stream, costwarning, maxtoken, online, loglevel.",
+    },
+    "/maxtoken": {
+        "description": "Set a temporary session token limit.",
+        "usage": "/maxtoken [value]",
+        "examples": [
+            ("View current session limit", "/maxtoken"),
+            ("Set session limit to 2000", "/maxtoken 2000"),
+        ],
+        "notes": "Cannot exceed stored max token limit.",
+    },
+    "/system": {
+        "description": "Set or clear the session-level system prompt.",
+        "usage": "/system [prompt|clear|default <prompt>]",
+        "examples": [
+            ("View current system prompt", "/system"),
+            ("Set as Python expert", "/system You are a Python expert"),
+            ("Multiline with newlines", r"/system You are an expert.\nBe clear and concise."),
+            ("Save as default", "/system default You are a helpful assistant"),
+            ("Revert to default", "/system clear"),
+            ("Blank prompt", '/system ""'),
+        ],
+        "notes": r"Use \n for newlines. /system clear reverts to hardcoded default.",
+    },
+    "/save": {
+        "description": "Save the current conversation history.",
+        "usage": "/save <name>",
+        "examples": [("Save conversation", "/save my_chat")],
+        "notes": "Saved conversations can be loaded later with /load.",
+    },
+    "/load": {
+        "description": "Load a saved conversation.",
+        "usage": "/load <name|number>",
+        "examples": [
+            ("Load by name", "/load my_chat"),
+            ("Load by number from /list", "/load 3"),
+        ],
+        "notes": "Use /list to see numbered conversations.",
+    },
+    "/delete": {
+        "description": "Delete a saved conversation.",
+        "usage": "/delete <name|number>",
+        "examples": [("Delete by name", "/delete my_chat")],
+        "notes": "Requires confirmation. Cannot be undone.",
+    },
+    "/list": {
+        "description": "List all saved conversations.",
+        "usage": "/list",
+        "examples": [("Show saved conversations", "/list")],
+        "notes": "Conversations are numbered for use with /load and /delete.",
+    },
+    "/export": {
+        "description": "Export the current conversation to a file.",
+        "usage": "/export <format> <filename>",
+        "examples": [
+            ("Export as Markdown", "/export md notes.md"),
+            ("Export as JSON", "/export json conversation.json"),
+            ("Export as HTML", "/export html report.html"),
+        ],
+        "notes": "Available formats: md, json, html.",
+    },
+    "/stats": {
+        "description": "Display session statistics.",
+        "usage": "/stats",
+        "examples": [("View session statistics", "/stats")],
+        "notes": "Shows tokens, costs, and credits.",
+    },
+    "/credits": {
+        "description": "Display your OpenRouter account credits.",
+        "usage": "/credits",
+        "examples": [("Check credits", "/credits")],
+        "notes": "Shows total, used, and remaining credits.",
+    },
+    "/middleout": {
+        "description": "Toggle middle-out transform for long prompts.",
+        "usage": "/middleout [on|off]",
+        "examples": [
+            ("Check status", "/middleout"),
+            ("Enable compression", "/middleout on"),
+        ],
+        "notes": "Compresses prompts exceeding context size.",
+    },
+}

oai/core/__init__.py

@@ -0,0 +1,14 @@
+"""
+Core functionality for oAI.
+
+This module provides the main session management and AI client
+classes that power the chat application.
+"""
+
+from oai.core.session import ChatSession
+from oai.core.client import AIClient
+
+__all__ = [
+    "ChatSession",
+    "AIClient",
+]

oai/core/client.py

@@ -0,0 +1,422 @@
+"""
+AI Client for oAI.
+
+This module provides a high-level client for interacting with AI models
+through the provider abstraction layer.
+"""
+
+import asyncio
+import json
+from typing import Any, Callable, Dict, Iterator, List, Optional, Union
+
+from oai.constants import APP_NAME, APP_URL, MODEL_PRICING
+from oai.providers.base import (
+    AIProvider,
+    ChatMessage,
+    ChatResponse,
+    ModelInfo,
+    StreamChunk,
+    ToolCall,
+    UsageStats,
+)
+from oai.providers.openrouter import OpenRouterProvider
+from oai.utils.logging import get_logger
+
+
+class AIClient:
+    """
+    High-level AI client for chat interactions.
+
+    Provides a simplified interface for sending chat requests,
+    handling streaming, and managing tool calls.
+
+    Attributes:
+        provider: The underlying AI provider
+        default_model: Default model ID to use
+        http_headers: Custom HTTP headers for requests
+    """
+
+    def __init__(
+        self,
+        api_key: str,
+        base_url: Optional[str] = None,
+        provider_class: type = OpenRouterProvider,
+        app_name: str = APP_NAME,
+        app_url: str = APP_URL,
+    ):
+        """
+        Initialize the AI client.
+
+        Args:
+            api_key: API key for authentication
+            base_url: Optional custom base URL
+            provider_class: Provider class to use (default: OpenRouterProvider)
+            app_name: Application name for headers
+            app_url: Application URL for headers
+        """
+        self.provider: AIProvider = provider_class(
+            api_key=api_key,
+            base_url=base_url,
+            app_name=app_name,
+            app_url=app_url,
+        )
+        self.default_model: Optional[str] = None
+        self.logger = get_logger()
+
+    def list_models(self, filter_text_only: bool = True) -> List[ModelInfo]:
+        """
+        Get available models.
+
+        Args:
+            filter_text_only: Whether to exclude video-only models
+
+        Returns:
+            List of ModelInfo objects
+        """
+        return self.provider.list_models(filter_text_only=filter_text_only)
+
+    def get_model(self, model_id: str) -> Optional[ModelInfo]:
+        """
+        Get information about a specific model.
+
+        Args:
+            model_id: Model identifier
+
+        Returns:
+            ModelInfo or None if not found
+        """
+        return self.provider.get_model(model_id)
+
+    def get_raw_model(self, model_id: str) -> Optional[Dict[str, Any]]:
+        """
+        Get raw model data for provider-specific fields.
+
+        Args:
+            model_id: Model identifier
+
+        Returns:
+            Raw model dictionary or None
+        """
+        if hasattr(self.provider, "get_raw_model"):
+            return self.provider.get_raw_model(model_id)
+        return None
+
+    def chat(
+        self,
+        messages: List[Dict[str, Any]],
+        model: Optional[str] = None,
+        stream: bool = False,
+        max_tokens: Optional[int] = None,
+        temperature: Optional[float] = None,
+        tools: Optional[List[Dict[str, Any]]] = None,
+        tool_choice: Optional[str] = None,
+        system_prompt: Optional[str] = None,
+        online: bool = False,
+        transforms: Optional[List[str]] = None,
+    ) -> Union[ChatResponse, Iterator[StreamChunk]]:
+        """
+        Send a chat request.
+
+        Args:
+            messages: List of message dictionaries
+            model: Model ID (uses default if not specified)
+            stream: Whether to stream the response
+            max_tokens: Maximum tokens in response
+            temperature: Sampling temperature
+            tools: Tool definitions for function calling
+            tool_choice: Tool selection mode
+            system_prompt: System prompt to prepend
+            online: Whether to enable online mode
+            transforms: List of transforms (e.g., ["middle-out"])
+
+        Returns:
+            ChatResponse for non-streaming, Iterator[StreamChunk] for streaming
+
+        Raises:
+            ValueError: If no model specified and no default set
+        """
+        model_id = model or self.default_model
+        if not model_id:
+            raise ValueError("No model specified and no default set")
+
+        # Apply online mode suffix
+        if online and hasattr(self.provider, "get_effective_model_id"):
+            model_id = self.provider.get_effective_model_id(model_id, True)
+
+        # Convert dict messages to ChatMessage objects
+        chat_messages = []
+
+        # Add system prompt if provided
+        if system_prompt:
+            chat_messages.append(ChatMessage(role="system", content=system_prompt))
+
+        # Convert message dicts
+        for msg in messages:
+            # Convert tool_calls dicts to ToolCall objects if present
+            tool_calls_data = msg.get("tool_calls")
+            tool_calls_obj = None
+            if tool_calls_data:
+                from oai.providers.base import ToolCall, ToolFunction
+                tool_calls_obj = []
+                for tc in tool_calls_data:
+                    # Handle both ToolCall objects and dicts
+                    if isinstance(tc, ToolCall):
+                        tool_calls_obj.append(tc)
+                    elif isinstance(tc, dict):
+                        func_data = tc.get("function", {})
+                        tool_calls_obj.append(
+                            ToolCall(
+                                id=tc.get("id", ""),
+                                type=tc.get("type", "function"),
+                                function=ToolFunction(
+                                    name=func_data.get("name", ""),
+                                    arguments=func_data.get("arguments", "{}"),
+                                ),
+                            )
+                        )
+
+            chat_messages.append(
+                ChatMessage(
+                    role=msg.get("role", "user"),
+                    content=msg.get("content"),
+                    tool_calls=tool_calls_obj,
+                    tool_call_id=msg.get("tool_call_id"),
+                )
+            )
+
+        self.logger.debug(
+            f"Sending chat request: model={model_id}, "
+            f"messages={len(chat_messages)}, stream={stream}"
+        )
+
+        return self.provider.chat(
+            model=model_id,
+            messages=chat_messages,
+            stream=stream,
+            max_tokens=max_tokens,
+            temperature=temperature,
+            tools=tools,
+            tool_choice=tool_choice,
+            transforms=transforms,
+        )
+
+    def chat_with_tools(
+        self,
+        messages: List[Dict[str, Any]],
+        tools: List[Dict[str, Any]],
+        tool_executor: Callable[[str, Dict[str, Any]], Dict[str, Any]],
+        model: Optional[str] = None,
+        max_loops: int = 5,
+        max_tokens: Optional[int] = None,
+        system_prompt: Optional[str] = None,
+        on_tool_call: Optional[Callable[[ToolCall], None]] = None,
+        on_tool_result: Optional[Callable[[str, Dict[str, Any]], None]] = None,
+    ) -> ChatResponse:
+        """
+        Send a chat request with automatic tool call handling.
+
+        Executes tool calls returned by the model and continues
+        the conversation until no more tool calls are requested.
+
+        Args:
+            messages: Initial messages
+            tools: Tool definitions
+            tool_executor: Function to execute tool calls
+            model: Model ID
+            max_loops: Maximum tool call iterations
+            max_tokens: Maximum response tokens
+            system_prompt: System prompt
+            on_tool_call: Callback when tool is called
+            on_tool_result: Callback when tool returns result
+
+        Returns:
+            Final ChatResponse after all tool calls complete
+        """
+        model_id = model or self.default_model
+        if not model_id:
+            raise ValueError("No model specified and no default set")
+
+        # Build initial messages
+        chat_messages = []
+        if system_prompt:
+            chat_messages.append({"role": "system", "content": system_prompt})
+        chat_messages.extend(messages)
+
+        loop_count = 0
+        current_response: Optional[ChatResponse] = None
+
+        while loop_count < max_loops:
+            # Send request
+            response = self.chat(
+                messages=chat_messages,
+                model=model_id,
+                stream=False,
+                max_tokens=max_tokens,
+                tools=tools,
+                tool_choice="auto",
+            )
+
+            if not isinstance(response, ChatResponse):
+                raise ValueError("Expected non-streaming response")
+
+            current_response = response
+
+            # Check for tool calls
+            tool_calls = response.tool_calls
+            if not tool_calls:
+                break
+
+            self.logger.info(f"Model requested {len(tool_calls)} tool call(s)")
+
+            # Process each tool call
+            tool_results = []
+            for tc in tool_calls:
+                if on_tool_call:
+                    on_tool_call(tc)
+
+                try:
+                    args = json.loads(tc.function.arguments)
+                except json.JSONDecodeError as e:
+                    self.logger.error(f"Failed to parse tool arguments: {e}")
+                    result = {"error": f"Invalid arguments: {e}"}
+                else:
+                    result = tool_executor(tc.function.name, args)
+
+                if on_tool_result:
+                    on_tool_result(tc.function.name, result)
+
+                tool_results.append({
+                    "tool_call_id": tc.id,
+                    "role": "tool",
+                    "name": tc.function.name,
+                    "content": json.dumps(result),
+                })
+
+            # Add assistant message with tool calls
+            assistant_msg = {
+                "role": "assistant",
+                "content": response.content,
+                "tool_calls": [
+                    {
+                        "id": tc.id,
+                        "type": tc.type,
+                        "function": {
+                            "name": tc.function.name,
+                            "arguments": tc.function.arguments,
+                        },
+                    }
+                    for tc in tool_calls
+                ],
+            }
+            chat_messages.append(assistant_msg)
+            chat_messages.extend(tool_results)
+
+            loop_count += 1
+
+        if loop_count >= max_loops:
+            self.logger.warning(f"Reached max tool call loops ({max_loops})")
+
+        return current_response
+
+    def stream_chat(
+        self,
+        messages: List[Dict[str, Any]],
+        model: Optional[str] = None,
+        max_tokens: Optional[int] = None,
+        system_prompt: Optional[str] = None,
+        online: bool = False,
+        on_chunk: Optional[Callable[[StreamChunk], None]] = None,
+    ) -> tuple[str, Optional[UsageStats]]:
+        """
+        Stream a chat response and collect the full text.
+
+        Args:
+            messages: Chat messages
+            model: Model ID
+            max_tokens: Maximum tokens
+            system_prompt: System prompt
+            online: Online mode
+            on_chunk: Optional callback for each chunk
+
+        Returns:
+            Tuple of (full_response_text, usage_stats)
+        """
+        response = self.chat(
+            messages=messages,
+            model=model,
+            stream=True,
+            max_tokens=max_tokens,
+            system_prompt=system_prompt,
+            online=online,
+        )
+
+        if isinstance(response, ChatResponse):
+            # Not actually streaming
+            return response.content or "", response.usage
+
+        full_text = ""
+        usage: Optional[UsageStats] = None
+
+        for chunk in response:
+            if chunk.error:
+                self.logger.error(f"Stream error: {chunk.error}")
+                break
+
+            if chunk.delta_content:
+                full_text += chunk.delta_content
+                if on_chunk:
+                    on_chunk(chunk)
+
+            if chunk.usage:
+                usage = chunk.usage
+
+        return full_text, usage
+
+    def get_credits(self) -> Optional[Dict[str, Any]]:
+        """
+        Get account credit information.
+
+        Returns:
+            Credit info dict or None if unavailable
+        """
+        return self.provider.get_credits()
+
+    def estimate_cost(
+        self,
+        model_id: str,
+        input_tokens: int,
+        output_tokens: int,
+    ) -> float:
+        """
+        Estimate cost for a completion.
+
+        Args:
+            model_id: Model ID
+            input_tokens: Number of input tokens
+            output_tokens: Number of output tokens
+
+        Returns:
+            Estimated cost in USD
+        """
+        if hasattr(self.provider, "estimate_cost"):
+            return self.provider.estimate_cost(model_id, input_tokens, output_tokens)
+
+        # Fallback to default pricing
+        input_cost = MODEL_PRICING["input"] * input_tokens / 1_000_000
+        output_cost = MODEL_PRICING["output"] * output_tokens / 1_000_000
+        return input_cost + output_cost
+
+    def set_default_model(self, model_id: str) -> None:
+        """
+        Set the default model.
+
+        Args:
+            model_id: Model ID to use as default
+        """
+        self.default_model = model_id
+        self.logger.info(f"Default model set to: {model_id}")
+
+    def clear_cache(self) -> None:
+        """Clear the provider's model cache."""
+        if hasattr(self.provider, "clear_cache"):
+            self.provider.clear_cache()

oai/core/session.py

@@ -0,0 +1,891 @@
+"""
+Chat session management for oAI.
+
+This module provides the ChatSession class that manages an interactive
+chat session including history, state, and message handling.
+"""
+
+import asyncio
+import json
+import time
+from dataclasses import dataclass, field
+from typing import Any, AsyncIterator, Callable, Dict, Iterator, List, Optional, Tuple
+
+from oai.commands.registry import CommandContext, CommandResult, registry
+from oai.config.database import Database
+from oai.config.settings import Settings
+from oai.constants import (
+    COST_WARNING_THRESHOLD,
+    LOW_CREDIT_AMOUNT,
+    LOW_CREDIT_RATIO,
+)
+from oai.core.client import AIClient
+from oai.mcp.manager import MCPManager
+from oai.providers.base import ChatResponse, StreamChunk, UsageStats
+from oai.utils.logging import get_logger
+
+
+@dataclass
+class SessionStats:
+    """
+    Statistics for the current session.
+
+    Tracks tokens, costs, and message counts.
+    """
+
+    total_input_tokens: int = 0
+    total_output_tokens: int = 0
+    total_cost: float = 0.0
+    message_count: int = 0
+
+    @property
+    def total_tokens(self) -> int:
+        """Get total token count."""
+        return self.total_input_tokens + self.total_output_tokens
+
+    def add_usage(self, usage: Optional[UsageStats], cost: float = 0.0) -> None:
+        """
+        Add usage stats from a response.
+
+        Args:
+            usage: Usage statistics
+            cost: Cost if not in usage
+        """
+        if usage:
+            self.total_input_tokens += usage.prompt_tokens
+            self.total_output_tokens += usage.completion_tokens
+            if usage.total_cost_usd:
+                self.total_cost += usage.total_cost_usd
+            else:
+                self.total_cost += cost
+        else:
+            self.total_cost += cost
+        self.message_count += 1
+
+
+@dataclass
+class HistoryEntry:
+    """
+    A single entry in the conversation history.
+
+    Stores the user prompt, assistant response, and metrics.
+    """
+
+    prompt: str
+    response: str
+    prompt_tokens: int = 0
+    completion_tokens: int = 0
+    msg_cost: float = 0.0
+    timestamp: Optional[float] = None
+
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary format."""
+        return {
+            "prompt": self.prompt,
+            "response": self.response,
+            "prompt_tokens": self.prompt_tokens,
+            "completion_tokens": self.completion_tokens,
+            "msg_cost": self.msg_cost,
+        }
+
+
+class ChatSession:
+    """
+    Manages an interactive chat session.
+
+    Handles conversation history, state management, command processing,
+    and communication with the AI client.
+
+    Attributes:
+        client: AI client for API requests
+        settings: Application settings
+        mcp_manager: MCP manager for file/database access
+        history: Conversation history
+        stats: Session statistics
+    """
+
+    def __init__(
+        self,
+        client: AIClient,
+        settings: Settings,
+        mcp_manager: Optional[MCPManager] = None,
+    ):
+        """
+        Initialize a chat session.
+
+        Args:
+            client: AI client instance
+            settings: Application settings
+            mcp_manager: Optional MCP manager
+        """
+        self.client = client
+        self.settings = settings
+        self.mcp_manager = mcp_manager
+        self.db = Database()
+
+        self.history: List[HistoryEntry] = []
+        self.stats = SessionStats()
+
+        # Session state
+        self.system_prompt: str = settings.effective_system_prompt
+        self.memory_enabled: bool = True
+        self.memory_start_index: int = 0
+        self.online_enabled: bool = settings.default_online_mode
+        self.middle_out_enabled: bool = False
+        self.session_max_token: int = 0
+        self.current_index: int = 0
+
+        # Selected model
+        self.selected_model: Optional[Dict[str, Any]] = None
+
+        self.logger = get_logger()
+
+    def get_context(self) -> CommandContext:
+        """
+        Get the current command context.
+
+        Returns:
+            CommandContext with current session state
+        """
+        return CommandContext(
+            settings=self.settings,
+            provider=self.client.provider,
+            mcp_manager=self.mcp_manager,
+            selected_model_raw=self.selected_model,
+            session_history=[e.to_dict() for e in self.history],
+            session_system_prompt=self.system_prompt,
+            memory_enabled=self.memory_enabled,
+            memory_start_index=self.memory_start_index,
+            online_enabled=self.online_enabled,
+            middle_out_enabled=self.middle_out_enabled,
+            session_max_token=self.session_max_token,
+            total_input_tokens=self.stats.total_input_tokens,
+            total_output_tokens=self.stats.total_output_tokens,
+            total_cost=self.stats.total_cost,
+            message_count=self.stats.message_count,
+            current_index=self.current_index,
+        )
+
+    def set_model(self, model: Dict[str, Any]) -> None:
+        """
+        Set the selected model.
+
+        Args:
+            model: Raw model dictionary
+        """
+        self.selected_model = model
+        self.client.set_default_model(model["id"])
+        self.logger.info(f"Model selected: {model['id']}")
+
+    def build_api_messages(self, user_input: str) -> List[Dict[str, Any]]:
+        """
+        Build the messages array for an API request.
+
+        Includes system prompt, history (if memory enabled), and current input.
+
+        Args:
+            user_input: Current user input
+
+        Returns:
+            List of message dictionaries
+        """
+        messages = []
+
+        # Add system prompt
+        if self.system_prompt:
+            messages.append({"role": "system", "content": self.system_prompt})
+
+        # Add database context if in database mode
+        if self.mcp_manager and self.mcp_manager.enabled:
+            if self.mcp_manager.mode == "database" and self.mcp_manager.selected_db_index is not None:
+                db = self.mcp_manager.databases[self.mcp_manager.selected_db_index]
+                db_context = (
+                    f"You are connected to SQLite database: {db['name']}\n"
+                    f"Available tables: {', '.join(db['tables'])}\n\n"
+                    "Use inspect_database, search_database, or query_database tools. "
+                    "All queries are read-only."
+                )
+                messages.append({"role": "system", "content": db_context})
+
+        # Add history if memory enabled
+        if self.memory_enabled:
+            for i in range(self.memory_start_index, len(self.history)):
+                entry = self.history[i]
+                messages.append({"role": "user", "content": entry.prompt})
+                messages.append({"role": "assistant", "content": entry.response})
+
+        # Add current message
+        messages.append({"role": "user", "content": user_input})
+
+        return messages
+
+    def get_mcp_tools(self) -> Optional[List[Dict[str, Any]]]:
+        """
+        Get MCP tool definitions if available.
+
+        Returns:
+            List of tool schemas or None
+        """
+        if not self.mcp_manager or not self.mcp_manager.enabled:
+            return None
+
+        if not self.selected_model:
+            return None
+
+        # Check if model supports tools
+        supported_params = self.selected_model.get("supported_parameters", [])
+        if "tools" not in supported_params and "functions" not in supported_params:
+            return None
+
+        return self.mcp_manager.get_tools_schema()
+
+    async def execute_tool(
+        self,
+        tool_name: str,
+        tool_args: Dict[str, Any],
+    ) -> Dict[str, Any]:
+        """
+        Execute an MCP tool.
+
+        Args:
+            tool_name: Name of the tool
+            tool_args: Tool arguments
+
+        Returns:
+            Tool execution result
+        """
+        if not self.mcp_manager:
+            return {"error": "MCP not available"}
+
+        return await self.mcp_manager.call_tool(tool_name, **tool_args)
+
+    def send_message(
+        self,
+        user_input: str,
+        stream: bool = True,
+        on_stream_chunk: Optional[Callable[[str], None]] = None,
+    ) -> Tuple[str, Optional[UsageStats], float]:
+        """
+        Send a message and get a response.
+
+        Args:
+            user_input: User's input text
+            stream: Whether to stream the response
+            on_stream_chunk: Callback for stream chunks
+
+        Returns:
+            Tuple of (response_text, usage_stats, response_time)
+        """
+        if not self.selected_model:
+            raise ValueError("No model selected")
+
+        start_time = time.time()
+        messages = self.build_api_messages(user_input)
+
+        # Get MCP tools
+        tools = self.get_mcp_tools()
+        if tools:
+            # Disable streaming when tools are present
+            stream = False
+
+        # Build request parameters
+        model_id = self.selected_model["id"]
+        if self.online_enabled:
+            if hasattr(self.client.provider, "get_effective_model_id"):
+                model_id = self.client.provider.get_effective_model_id(model_id, True)
+
+        transforms = ["middle-out"] if self.middle_out_enabled else None
+
+        max_tokens = None
+        if self.session_max_token > 0:
+            max_tokens = self.session_max_token
+
+        if tools:
+            # Use tool handling flow
+            response = self._send_with_tools(
+                messages=messages,
+                model_id=model_id,
+                tools=tools,
+                max_tokens=max_tokens,
+                transforms=transforms,
+            )
+            response_time = time.time() - start_time
+            return response.content or "", response.usage, response_time
+
+        elif stream:
+            # Use streaming flow
+            full_text, usage = self._stream_response(
+                messages=messages,
+                model_id=model_id,
+                max_tokens=max_tokens,
+                transforms=transforms,
+                on_chunk=on_stream_chunk,
+            )
+            response_time = time.time() - start_time
+            return full_text, usage, response_time
+
+        else:
+            # Non-streaming request
+            response = self.client.chat(
+                messages=messages,
+                model=model_id,
+                stream=False,
+                max_tokens=max_tokens,
+                transforms=transforms,
+            )
+            response_time = time.time() - start_time
+
+            if isinstance(response, ChatResponse):
+                return response.content or "", response.usage, response_time
+            else:
+                return "", None, response_time
+
+    def _send_with_tools(
+        self,
+        messages: List[Dict[str, Any]],
+        model_id: str,
+        tools: List[Dict[str, Any]],
+        max_tokens: Optional[int] = None,
+        transforms: Optional[List[str]] = None,
+    ) -> ChatResponse:
+        """
+        Send a request with tool call handling.
+
+        Args:
+            messages: API messages
+            model_id: Model ID
+            tools: Tool definitions
+            max_tokens: Max tokens
+            transforms: Transforms list
+
+        Returns:
+            Final ChatResponse
+        """
+        max_loops = 5
+        loop_count = 0
+        api_messages = list(messages)
+
+        while loop_count < max_loops:
+            response = self.client.chat(
+                messages=api_messages,
+                model=model_id,
+                stream=False,
+                max_tokens=max_tokens,
+                tools=tools,
+                tool_choice="auto",
+                transforms=transforms,
+            )
+
+            if not isinstance(response, ChatResponse):
+                raise ValueError("Expected ChatResponse")
+
+            tool_calls = response.tool_calls
+            if not tool_calls:
+                return response
+
+            # Tool calls requested by AI
+
+            tool_results = []
+            for tc in tool_calls:
+                try:
+                    args = json.loads(tc.function.arguments)
+                except json.JSONDecodeError as e:
+                    self.logger.error(f"Failed to parse tool arguments: {e}")
+                    tool_results.append({
+                        "tool_call_id": tc.id,
+                        "role": "tool",
+                        "name": tc.function.name,
+                        "content": json.dumps({"error": f"Invalid arguments: {e}"}),
+                    })
+                    continue
+
+                # Display tool call
+                args_display = ", ".join(
+                    f'{k}="{v}"' if isinstance(v, str) else f"{k}={v}"
+                    for k, v in args.items()
+                )
+                # Executing tool: {tc.function.name}
+
+                # Execute tool
+                result = asyncio.run(self.execute_tool(tc.function.name, args))
+
+                if "error" in result:
+                    # Tool execution error logged
+                    pass
+                else:
+                    # Tool execution successful
+                    pass
+
+                tool_results.append({
+                    "tool_call_id": tc.id,
+                    "role": "tool",
+                    "name": tc.function.name,
+                    "content": json.dumps(result),
+                })
+
+            # Add assistant message with tool calls
+            api_messages.append({
+                "role": "assistant",
+                "content": response.content,
+                "tool_calls": [
+                    {
+                        "id": tc.id,
+                        "type": tc.type,
+                        "function": {
+                            "name": tc.function.name,
+                            "arguments": tc.function.arguments,
+                        },
+                    }
+                    for tc in tool_calls
+                ],
+            })
+            api_messages.extend(tool_results)
+
+            # Processing tool results
+            loop_count += 1
+
+        self.logger.warning(f"Reached max tool loops ({max_loops})")
+        return response
+
+
+    def _stream_response(
+        self,
+        messages: List[Dict[str, Any]],
+        model_id: str,
+        max_tokens: Optional[int] = None,
+        transforms: Optional[List[str]] = None,
+        on_chunk: Optional[Callable[[str], None]] = None,
+    ) -> Tuple[str, Optional[UsageStats]]:
+        """
+        Stream a response with live display.
+
+        Args:
+            messages: API messages
+            model_id: Model ID
+            max_tokens: Max tokens
+            transforms: Transforms
+            on_chunk: Callback for chunks
+
+        Returns:
+            Tuple of (full_text, usage)
+        """
+        response = self.client.chat(
+            messages=messages,
+            model=model_id,
+            stream=True,
+            max_tokens=max_tokens,
+            transforms=transforms,
+        )
+
+        if isinstance(response, ChatResponse):
+            return response.content or "", response.usage
+
+        full_text = ""
+        usage: Optional[UsageStats] = None
+
+        try:
+            for chunk in response:
+                if chunk.error:
+                    self.logger.error(f"Stream error: {chunk.error}")
+                    break
+
+                if chunk.delta_content:
+                    full_text += chunk.delta_content
+                    if on_chunk:
+                        on_chunk(chunk.delta_content)
+
+                if chunk.usage:
+                    usage = chunk.usage
+
+        except KeyboardInterrupt:
+            self.logger.info("Streaming interrupted")
+            return "", None
+
+        return full_text, usage
+
+    # ========== ASYNC METHODS FOR TUI ==========
+
+    async def send_message_async(
+        self,
+        user_input: str,
+        stream: bool = True,
+    ) -> AsyncIterator[StreamChunk]:
+        """
+        Async version of send_message for Textual TUI.
+
+        Args:
+            user_input: User's input text
+            stream: Whether to stream the response
+
+        Yields:
+            StreamChunk objects for progressive display
+        """
+        if not self.selected_model:
+            raise ValueError("No model selected")
+
+        messages = self.build_api_messages(user_input)
+        tools = self.get_mcp_tools()
+
+        if tools:
+            # Disable streaming when tools are present
+            stream = False
+
+        model_id = self.selected_model["id"]
+        if self.online_enabled:
+            if hasattr(self.client.provider, "get_effective_model_id"):
+                model_id = self.client.provider.get_effective_model_id(model_id, True)
+
+        transforms = ["middle-out"] if self.middle_out_enabled else None
+        max_tokens = None
+        if self.session_max_token > 0:
+            max_tokens = self.session_max_token
+
+        if tools:
+            # Use async tool handling flow
+            async for chunk in self._send_with_tools_async(
+                messages=messages,
+                model_id=model_id,
+                tools=tools,
+                max_tokens=max_tokens,
+                transforms=transforms,
+            ):
+                yield chunk
+        elif stream:
+            # Use async streaming flow
+            async for chunk in self._stream_response_async(
+                messages=messages,
+                model_id=model_id,
+                max_tokens=max_tokens,
+                transforms=transforms,
+            ):
+                yield chunk
+        else:
+            # Non-streaming request
+            response = self.client.chat(
+                messages=messages,
+                model=model_id,
+                stream=False,
+                max_tokens=max_tokens,
+                transforms=transforms,
+            )
+            if isinstance(response, ChatResponse):
+                # Yield single chunk with complete response
+                chunk = StreamChunk(
+                    id="",
+                    delta_content=response.content,
+                    usage=response.usage,
+                    error=None,
+                )
+                yield chunk
+
+    async def _send_with_tools_async(
+        self,
+        messages: List[Dict[str, Any]],
+        model_id: str,
+        tools: List[Dict[str, Any]],
+        max_tokens: Optional[int] = None,
+        transforms: Optional[List[str]] = None,
+    ) -> AsyncIterator[StreamChunk]:
+        """
+        Async version of _send_with_tools for TUI.
+
+        Args:
+            messages: API messages
+            model_id: Model ID
+            tools: Tool definitions
+            max_tokens: Max tokens
+            transforms: Transforms list
+
+        Yields:
+            StreamChunk objects including tool call notifications
+        """
+        max_loops = 5
+        loop_count = 0
+        api_messages = list(messages)
+
+        while loop_count < max_loops:
+            response = self.client.chat(
+                messages=api_messages,
+                model=model_id,
+                stream=False,
+                max_tokens=max_tokens,
+                tools=tools,
+                tool_choice="auto",
+                transforms=transforms,
+            )
+
+            if not isinstance(response, ChatResponse):
+                raise ValueError("Expected ChatResponse")
+
+            tool_calls = response.tool_calls
+            if not tool_calls:
+                # Final response, yield it
+                chunk = StreamChunk(
+                    id="",
+                    delta_content=response.content,
+                    usage=response.usage,
+                    error=None,
+                )
+                yield chunk
+                return
+
+            # Yield notification about tool calls
+            tool_notification = f"\n🔧 AI requesting {len(tool_calls)} tool call(s)...\n"
+            yield StreamChunk(id="", delta_content=tool_notification, usage=None, error=None)
+
+            tool_results = []
+            for tc in tool_calls:
+                try:
+                    args = json.loads(tc.function.arguments)
+                except json.JSONDecodeError as e:
+                    self.logger.error(f"Failed to parse tool arguments: {e}")
+                    tool_results.append({
+                        "tool_call_id": tc.id,
+                        "role": "tool",
+                        "name": tc.function.name,
+                        "content": json.dumps({"error": f"Invalid arguments: {e}"}),
+                    })
+                    continue
+
+                # Yield tool call display
+                args_display = ", ".join(
+                    f'{k}="{v}"' if isinstance(v, str) else f"{k}={v}"
+                    for k, v in args.items()
+                )
+                tool_display = f"  → {tc.function.name}({args_display})\n"
+                yield StreamChunk(id="", delta_content=tool_display, usage=None, error=None)
+
+                # Execute tool (await instead of asyncio.run)
+                result = await self.execute_tool(tc.function.name, args)
+
+                if "error" in result:
+                    error_msg = f"  ✗ Error: {result['error']}\n"
+                    yield StreamChunk(id="", delta_content=error_msg, usage=None, error=None)
+                else:
+                    success_msg = self._format_tool_success(tc.function.name, result)
+                    yield StreamChunk(id="", delta_content=success_msg, usage=None, error=None)
+
+                tool_results.append({
+                    "tool_call_id": tc.id,
+                    "role": "tool",
+                    "name": tc.function.name,
+                    "content": json.dumps(result),
+                })
+
+            # Add assistant message with tool calls
+            api_messages.append({
+                "role": "assistant",
+                "content": response.content,
+                "tool_calls": [
+                    {
+                        "id": tc.id,
+                        "type": tc.type,
+                        "function": {
+                            "name": tc.function.name,
+                            "arguments": tc.function.arguments,
+                        },
+                    }
+                    for tc in tool_calls
+                ],
+            })
+
+            # Add tool results
+            api_messages.extend(tool_results)
+            loop_count += 1
+
+        # Max loops reached
+        yield StreamChunk(
+            id="",
+            delta_content="\n⚠️  Maximum tool call loops reached\n",
+            usage=None,
+            error="Max loops reached"
+        )
+
+    def _format_tool_success(self, tool_name: str, result: Dict[str, Any]) -> str:
+        """Format a success message for a tool call."""
+        if tool_name == "search_files":
+            count = result.get("count", 0)
+            return f"  ✓ Found {count} file(s)\n"
+        elif tool_name == "read_file":
+            size = result.get("size", 0)
+            truncated = " (truncated)" if result.get("truncated") else ""
+            return f"  ✓ Read {size} bytes{truncated}\n"
+        elif tool_name == "list_directory":
+            count = result.get("count", 0)
+            return f"  ✓ Listed {count} item(s)\n"
+        elif tool_name == "inspect_database":
+            if "table" in result:
+                return f"  ✓ Inspected table: {result['table']}\n"
+            else:
+                return f"  ✓ Inspected database ({result.get('table_count', 0)} tables)\n"
+        elif tool_name == "search_database":
+            count = result.get("count", 0)
+            return f"  ✓ Found {count} match(es)\n"
+        elif tool_name == "query_database":
+            count = result.get("count", 0)
+            return f"  ✓ Query returned {count} row(s)\n"
+        else:
+            return "  ✓ Success\n"
+
+    async def _stream_response_async(
+        self,
+        messages: List[Dict[str, Any]],
+        model_id: str,
+        max_tokens: Optional[int] = None,
+        transforms: Optional[List[str]] = None,
+    ) -> AsyncIterator[StreamChunk]:
+        """
+        Async version of _stream_response for TUI.
+
+        Args:
+            messages: API messages
+            model_id: Model ID
+            max_tokens: Max tokens
+            transforms: Transforms
+
+        Yields:
+            StreamChunk objects
+        """
+        response = self.client.chat(
+            messages=messages,
+            model=model_id,
+            stream=True,
+            max_tokens=max_tokens,
+            transforms=transforms,
+        )
+
+        if isinstance(response, ChatResponse):
+            # Non-streaming response
+            chunk = StreamChunk(
+                id="",
+                delta_content=response.content,
+                usage=response.usage,
+                error=None,
+            )
+            yield chunk
+            return
+
+        # Stream the response
+        for chunk in response:
+            if chunk.error:
+                yield StreamChunk(id="", delta_content=None, usage=None, error=chunk.error)
+                break
+            yield chunk
+
+    # ========== END ASYNC METHODS ==========
+
+    def add_to_history(
+        self,
+        prompt: str,
+        response: str,
+        usage: Optional[UsageStats] = None,
+        cost: float = 0.0,
+    ) -> None:
+        """
+        Add an exchange to the history.
+
+        Args:
+            prompt: User prompt
+            response: Assistant response
+            usage: Usage statistics
+            cost: Cost if not in usage
+        """
+        entry = HistoryEntry(
+            prompt=prompt,
+            response=response,
+            prompt_tokens=usage.prompt_tokens if usage else 0,
+            completion_tokens=usage.completion_tokens if usage else 0,
+            msg_cost=usage.total_cost_usd if usage and usage.total_cost_usd else cost,
+            timestamp=time.time(),
+        )
+        self.history.append(entry)
+        self.current_index = len(self.history) - 1
+        self.stats.add_usage(usage, cost)
+
+    def save_conversation(self, name: str) -> bool:
+        """
+        Save the current conversation.
+
+        Args:
+            name: Name for the saved conversation
+
+        Returns:
+            True if saved successfully
+        """
+        if not self.history:
+            return False
+
+        data = [e.to_dict() for e in self.history]
+        self.db.save_conversation(name, data)
+        self.logger.info(f"Saved conversation: {name}")
+        return True
+
+    def load_conversation(self, name: str) -> bool:
+        """
+        Load a saved conversation.
+
+        Args:
+            name: Name of the conversation to load
+
+        Returns:
+            True if loaded successfully
+        """
+        data = self.db.load_conversation(name)
+        if not data:
+            return False
+
+        self.history.clear()
+        for entry_dict in data:
+            self.history.append(HistoryEntry(
+                prompt=entry_dict.get("prompt", ""),
+                response=entry_dict.get("response", ""),
+                prompt_tokens=entry_dict.get("prompt_tokens", 0),
+                completion_tokens=entry_dict.get("completion_tokens", 0),
+                msg_cost=entry_dict.get("msg_cost", 0.0),
+            ))
+
+        self.current_index = len(self.history) - 1
+        self.memory_start_index = 0
+        self.stats = SessionStats()  # Reset stats for loaded conversation
+        self.logger.info(f"Loaded conversation: {name}")
+        return True
+
+    def reset(self) -> None:
+        """Reset the session state."""
+        self.history.clear()
+        self.stats = SessionStats()
+        self.system_prompt = ""
+        self.memory_start_index = 0
+        self.current_index = 0
+        self.logger.info("Session reset")
+
+    def check_warnings(self) -> List[str]:
+        """
+        Check for cost and credit warnings.
+
+        Returns:
+            List of warning messages
+        """
+        warnings = []
+
+        # Check last message cost
+        if self.history:
+            last_cost = self.history[-1].msg_cost
+            threshold = self.settings.cost_warning_threshold
+            if last_cost > threshold:
+                warnings.append(
+                    f"High cost: ${last_cost:.4f} exceeds threshold ${threshold:.4f}"
+                )
+
+        # Check credits
+        credits = self.client.get_credits()
+        if credits:
+            left = credits.get("credits_left", 0)
+            total = credits.get("total_credits", 0)
+
+            if left < LOW_CREDIT_AMOUNT:
+                warnings.append(f"Low credits: ${left:.2f} remaining!")
+            elif total > 0 and left < total * LOW_CREDIT_RATIO:
+                warnings.append(f"Credits low: less than 10% remaining (${left:.2f})")
+
+        return warnings

oai/mcp/__init__.py

@@ -0,0 +1,28 @@
+"""
+Model Context Protocol (MCP) integration for oAI.
+
+This package provides filesystem and database access capabilities
+through the MCP standard, allowing AI models to interact with
+local files and SQLite databases safely.
+
+Key components:
+- MCPManager: High-level manager for MCP operations
+- MCPFilesystemServer: Filesystem and database access implementation
+- GitignoreParser: Pattern matching for .gitignore support
+- SQLiteQueryValidator: Query safety validation
+- CrossPlatformMCPConfig: OS-specific configuration
+"""
+
+from oai.mcp.manager import MCPManager
+from oai.mcp.server import MCPFilesystemServer
+from oai.mcp.gitignore import GitignoreParser
+from oai.mcp.validators import SQLiteQueryValidator
+from oai.mcp.platform import CrossPlatformMCPConfig
+
+__all__ = [
+    "MCPManager",
+    "MCPFilesystemServer",
+    "GitignoreParser",
+    "SQLiteQueryValidator",
+    "CrossPlatformMCPConfig",
+]

oai/mcp/gitignore.py

@@ -0,0 +1,166 @@
+"""
+Gitignore pattern parsing for oAI MCP.
+
+This module implements .gitignore pattern matching to filter files
+during MCP filesystem operations.
+"""
+
+import fnmatch
+from pathlib import Path
+from typing import List, Tuple
+
+from oai.utils.logging import get_logger
+
+
+class GitignoreParser:
+    """
+    Parse and apply .gitignore patterns.
+
+    Supports standard gitignore syntax including:
+    - Wildcards (*) and double wildcards (**)
+    - Directory-only patterns (ending with /)
+    - Negation patterns (starting with !)
+    - Comments (lines starting with #)
+
+    Patterns are applied relative to the directory containing
+    the .gitignore file.
+    """
+
+    def __init__(self):
+        """Initialize an empty pattern collection."""
+        # List of (pattern, is_negation, source_dir)
+        self.patterns: List[Tuple[str, bool, Path]] = []
+
+    def add_gitignore(self, gitignore_path: Path) -> None:
+        """
+        Parse and add patterns from a .gitignore file.
+
+        Args:
+            gitignore_path: Path to the .gitignore file
+        """
+        logger = get_logger()
+
+        if not gitignore_path.exists():
+            return
+
+        try:
+            source_dir = gitignore_path.parent
+
+            with open(gitignore_path, "r", encoding="utf-8") as f:
+                for line_num, line in enumerate(f, 1):
+                    line = line.rstrip("\n\r")
+
+                    # Skip empty lines and comments
+                    if not line or line.startswith("#"):
+                        continue
+
+                    # Check for negation pattern
+                    is_negation = line.startswith("!")
+                    if is_negation:
+                        line = line[1:]
+
+                    # Remove leading slash (make relative to gitignore location)
+                    if line.startswith("/"):
+                        line = line[1:]
+
+                    self.patterns.append((line, is_negation, source_dir))
+
+            logger.debug(
+                f"Loaded {len(self.patterns)} patterns from {gitignore_path}"
+            )
+
+        except Exception as e:
+            logger.warning(f"Error reading {gitignore_path}: {e}")
+
+    def should_ignore(self, path: Path) -> bool:
+        """
+        Check if a path should be ignored based on gitignore patterns.
+
+        Patterns are evaluated in order, with later patterns overriding
+        earlier ones. Negation patterns (starting with !) un-ignore
+        previously matched paths.
+
+        Args:
+            path: Path to check
+
+        Returns:
+            True if the path should be ignored
+        """
+        if not self.patterns:
+            return False
+
+        ignored = False
+
+        for pattern, is_negation, source_dir in self.patterns:
+            # Only apply pattern if path is under the source directory
+            try:
+                rel_path = path.relative_to(source_dir)
+            except ValueError:
+                # Path is not relative to this gitignore's directory
+                continue
+
+            rel_path_str = str(rel_path)
+
+            # Check if pattern matches
+            if self._match_pattern(pattern, rel_path_str, path.is_dir()):
+                if is_negation:
+                    ignored = False  # Negation patterns un-ignore
+                else:
+                    ignored = True
+
+        return ignored
+
+    def _match_pattern(self, pattern: str, path: str, is_dir: bool) -> bool:
+        """
+        Match a gitignore pattern against a path.
+
+        Args:
+            pattern: The gitignore pattern
+            path: The relative path string to match
+            is_dir: Whether the path is a directory
+
+        Returns:
+            True if the pattern matches
+        """
+        # Directory-only pattern (ends with /)
+        if pattern.endswith("/"):
+            if not is_dir:
+                return False
+            pattern = pattern[:-1]
+
+        # Handle ** patterns (matches any number of directories)
+        if "**" in pattern:
+            pattern_parts = pattern.split("**")
+            if len(pattern_parts) == 2:
+                prefix, suffix = pattern_parts
+
+                # Match if path starts with prefix and ends with suffix
+                if prefix:
+                    if not path.startswith(prefix.rstrip("/")):
+                        return False
+                if suffix:
+                    suffix = suffix.lstrip("/")
+                    if not (path.endswith(suffix) or f"/{suffix}" in path):
+                        return False
+                return True
+
+        # Direct match using fnmatch
+        if fnmatch.fnmatch(path, pattern):
+            return True
+
+        # Match as subdirectory pattern (pattern without / matches in any directory)
+        if "/" not in pattern:
+            parts = path.split("/")
+            if any(fnmatch.fnmatch(part, pattern) for part in parts):
+                return True
+
+        return False
+
+    def clear(self) -> None:
+        """Clear all loaded patterns."""
+        self.patterns = []
+
+    @property
+    def pattern_count(self) -> int:
+        """Get the number of loaded patterns."""
+        return len(self.patterns)

oai/mcp/platform.py

@@ -0,0 +1,228 @@
+"""
+Cross-platform MCP configuration for oAI.
+
+This module handles OS-specific configuration, path handling,
+and security checks for the MCP filesystem server.
+"""
+
+import os
+import platform
+import subprocess
+from pathlib import Path
+from typing import List, Dict, Any, Optional
+
+from oai.constants import SYSTEM_DIRS_BLACKLIST
+from oai.utils.logging import get_logger
+
+
+class CrossPlatformMCPConfig:
+    """
+    Handle OS-specific MCP configuration.
+
+    Provides methods for path normalization, security validation,
+    and OS-specific default directories.
+
+    Attributes:
+        system: Operating system name
+        is_macos: Whether running on macOS
+        is_linux: Whether running on Linux
+        is_windows: Whether running on Windows
+    """
+
+    def __init__(self):
+        """Initialize platform detection."""
+        self.system = platform.system()
+        self.is_macos = self.system == "Darwin"
+        self.is_linux = self.system == "Linux"
+        self.is_windows = self.system == "Windows"
+
+        logger = get_logger()
+        logger.info(f"Detected OS: {self.system}")
+
+    def get_default_allowed_dirs(self) -> List[Path]:
+        """
+        Get safe default directories for the current OS.
+
+        Returns:
+            List of default directories that are safe to access
+        """
+        home = Path.home()
+
+        if self.is_macos:
+            return [
+                home / "Documents",
+                home / "Desktop",
+                home / "Downloads",
+            ]
+
+        elif self.is_linux:
+            dirs = [home / "Documents"]
+
+            # Try to get XDG directories
+            try:
+                for xdg_dir in ["DOCUMENTS", "DESKTOP", "DOWNLOAD"]:
+                    result = subprocess.run(
+                        ["xdg-user-dir", xdg_dir],
+                        capture_output=True,
+                        text=True,
+                        timeout=1
+                    )
+                    if result.returncode == 0:
+                        dir_path = Path(result.stdout.strip())
+                        if dir_path.exists():
+                            dirs.append(dir_path)
+            except (subprocess.TimeoutExpired, FileNotFoundError):
+                # Fallback to standard locations
+                dirs.extend([
+                    home / "Desktop",
+                    home / "Downloads",
+                ])
+
+            return list(set(dirs))
+
+        elif self.is_windows:
+            return [
+                home / "Documents",
+                home / "Desktop",
+                home / "Downloads",
+            ]
+
+        # Fallback for unknown OS
+        return [home]
+
+    def get_python_command(self) -> str:
+        """
+        Get the Python executable path.
+
+        Returns:
+            Path to the Python executable
+        """
+        import sys
+        return sys.executable
+
+    def get_filesystem_warning(self) -> str:
+        """
+        Get OS-specific security warning message.
+
+        Returns:
+            Warning message for the current OS
+        """
+        if self.is_macos:
+            return """
+Note: macOS Security
+The Filesystem MCP server needs access to your selected folder.
+You may see a security prompt - click 'Allow' to proceed.
+(System Settings > Privacy & Security > Files and Folders)
+"""
+        elif self.is_linux:
+            return """
+Note: Linux Security
+The Filesystem MCP server will access your selected folder.
+Ensure oAI has appropriate file permissions.
+"""
+        elif self.is_windows:
+            return """
+Note: Windows Security
+The Filesystem MCP server will access your selected folder.
+You may need to grant file access permissions.
+"""
+        return ""
+
+    def normalize_path(self, path: str) -> Path:
+        """
+        Normalize a path for the current OS.
+
+        Expands user directory (~) and resolves to absolute path.
+
+        Args:
+            path: Path string to normalize
+
+        Returns:
+            Normalized absolute Path
+        """
+        return Path(os.path.expanduser(path)).resolve()
+
+    def is_system_directory(self, path: Path) -> bool:
+        """
+        Check if a path is a protected system directory.
+
+        Args:
+            path: Path to check
+
+        Returns:
+            True if the path is a system directory
+        """
+        path_str = str(path)
+        for blocked in SYSTEM_DIRS_BLACKLIST:
+            if path_str.startswith(blocked):
+                return True
+        return False
+
+    def is_safe_path(self, requested_path: Path, allowed_dirs: List[Path]) -> bool:
+        """
+        Check if a path is within allowed directories.
+
+        Args:
+            requested_path: Path being requested
+            allowed_dirs: List of allowed parent directories
+
+        Returns:
+            True if the path is within an allowed directory
+        """
+        try:
+            requested = requested_path.resolve()
+
+            for allowed in allowed_dirs:
+                try:
+                    allowed_resolved = allowed.resolve()
+                    requested.relative_to(allowed_resolved)
+                    return True
+                except ValueError:
+                    continue
+
+            return False
+        except Exception:
+            return False
+
+    def get_folder_stats(self, folder: Path) -> Dict[str, Any]:
+        """
+        Get statistics for a folder.
+
+        Args:
+            folder: Path to the folder
+
+        Returns:
+            Dictionary with folder statistics:
+            - exists: Whether the folder exists
+            - file_count: Number of files (if exists)
+            - total_size: Total size in bytes (if exists)
+            - size_mb: Size in megabytes (if exists)
+            - error: Error message (if any)
+        """
+        logger = get_logger()
+
+        try:
+            if not folder.exists() or not folder.is_dir():
+                return {"exists": False}
+
+            file_count = 0
+            total_size = 0
+
+            for item in folder.rglob("*"):
+                if item.is_file():
+                    file_count += 1
+                    try:
+                        total_size += item.stat().st_size
+                    except (OSError, PermissionError):
+                        pass
+
+            return {
+                "exists": True,
+                "file_count": file_count,
+                "total_size": total_size,
+                "size_mb": total_size / (1024 * 1024),
+            }
+
+        except Exception as e:
+            logger.error(f"Error getting folder stats for {folder}: {e}")
+            return {"exists": False, "error": str(e)}

oai/mcp/validators.py

@@ -0,0 +1,123 @@
+"""
+Query validation for oAI MCP database operations.
+
+This module provides safety validation for SQL queries to ensure
+only read-only operations are executed.
+"""
+
+import re
+from typing import Tuple
+
+from oai.constants import DANGEROUS_SQL_KEYWORDS
+
+
+class SQLiteQueryValidator:
+    """
+    Validate SQLite queries for read-only safety.
+
+    Ensures that only SELECT queries (including CTEs) are allowed
+    and blocks potentially dangerous operations like INSERT, UPDATE,
+    DELETE, DROP, etc.
+    """
+
+    @staticmethod
+    def is_safe_query(query: str) -> Tuple[bool, str]:
+        """
+        Validate that a query is a safe read-only SELECT.
+
+        The validation:
+        1. Checks that query starts with SELECT or WITH
+        2. Strips string literals before checking for dangerous keywords
+        3. Blocks any dangerous keywords outside of string literals
+
+        Args:
+            query: SQL query string to validate
+
+        Returns:
+            Tuple of (is_safe, error_message)
+            - is_safe: True if the query is safe to execute
+            - error_message: Description of why query is unsafe (empty if safe)
+
+        Examples:
+            >>> SQLiteQueryValidator.is_safe_query("SELECT * FROM users")
+            (True, "")
+            >>> SQLiteQueryValidator.is_safe_query("DELETE FROM users")
+            (False, "Only SELECT queries are allowed...")
+            >>> SQLiteQueryValidator.is_safe_query("SELECT 'DELETE' FROM users")
+            (True, "")  # 'DELETE' is inside a string literal
+        """
+        query_upper = query.strip().upper()
+
+        # Must start with SELECT or WITH (for CTEs)
+        if not (query_upper.startswith("SELECT") or query_upper.startswith("WITH")):
+            return False, "Only SELECT queries are allowed (including WITH/CTE)"
+
+        # Remove string literals before checking for dangerous keywords
+        # This prevents false positives when keywords appear in data
+        query_no_strings = re.sub(r"'[^']*'", "", query_upper)
+        query_no_strings = re.sub(r'"[^"]*"', "", query_no_strings)
+
+        # Check for dangerous keywords outside of quotes
+        for keyword in DANGEROUS_SQL_KEYWORDS:
+            if re.search(r"\b" + keyword + r"\b", query_no_strings):
+                return False, f"Keyword '{keyword}' not allowed in read-only mode"
+
+        return True, ""
+
+    @staticmethod
+    def sanitize_table_name(table_name: str) -> str:
+        """
+        Sanitize a table name to prevent SQL injection.
+
+        Only allows alphanumeric characters and underscores.
+
+        Args:
+            table_name: Table name to sanitize
+
+        Returns:
+            Sanitized table name
+
+        Raises:
+            ValueError: If table name contains invalid characters
+        """
+        # Remove any characters that aren't alphanumeric or underscore
+        sanitized = re.sub(r"[^\w]", "", table_name)
+
+        if not sanitized:
+            raise ValueError("Table name cannot be empty after sanitization")
+
+        if sanitized != table_name:
+            raise ValueError(
+                f"Table name contains invalid characters: {table_name}"
+            )
+
+        return sanitized
+
+    @staticmethod
+    def sanitize_column_name(column_name: str) -> str:
+        """
+        Sanitize a column name to prevent SQL injection.
+
+        Only allows alphanumeric characters and underscores.
+
+        Args:
+            column_name: Column name to sanitize
+
+        Returns:
+            Sanitized column name
+
+        Raises:
+            ValueError: If column name contains invalid characters
+        """
+        # Remove any characters that aren't alphanumeric or underscore
+        sanitized = re.sub(r"[^\w]", "", column_name)
+
+        if not sanitized:
+            raise ValueError("Column name cannot be empty after sanitization")
+
+        if sanitized != column_name:
+            raise ValueError(
+                f"Column name contains invalid characters: {column_name}"
+            )
+
+        return sanitized

oai/providers/__init__.py

@@ -0,0 +1,32 @@
+"""
+Provider abstraction for oAI.
+
+This module provides a unified interface for AI model providers,
+enabling easy extension to support additional providers beyond OpenRouter.
+"""
+
+from oai.providers.base import (
+    AIProvider,
+    ChatMessage,
+    ChatResponse,
+    ToolCall,
+    ToolFunction,
+    UsageStats,
+    ModelInfo,
+    ProviderCapabilities,
+)
+from oai.providers.openrouter import OpenRouterProvider
+
+__all__ = [
+    # Base classes and types
+    "AIProvider",
+    "ChatMessage",
+    "ChatResponse",
+    "ToolCall",
+    "ToolFunction",
+    "UsageStats",
+    "ModelInfo",
+    "ProviderCapabilities",
+    # Provider implementations
+    "OpenRouterProvider",
+]

oai/providers/base.py

@@ -0,0 +1,413 @@
+"""
+Abstract base provider for AI model integration.
+
+This module defines the interface that all AI providers must implement,
+along with common data structures for requests and responses.
+"""
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass, field
+from enum import Enum
+from typing import (
+    Any,
+    AsyncIterator,
+    Dict,
+    Iterator,
+    List,
+    Optional,
+    Union,
+)
+
+
+class MessageRole(str, Enum):
+    """Message roles in a conversation."""
+
+    SYSTEM = "system"
+    USER = "user"
+    ASSISTANT = "assistant"
+    TOOL = "tool"
+
+
+@dataclass
+class ToolFunction:
+    """
+    Represents a function within a tool call.
+
+    Attributes:
+        name: The function name
+        arguments: JSON string of function arguments
+    """
+
+    name: str
+    arguments: str
+
+
+@dataclass
+class ToolCall:
+    """
+    Represents a tool/function call requested by the model.
+
+    Attributes:
+        id: Unique identifier for this tool call
+        type: Type of tool call (usually "function")
+        function: The function being called
+    """
+
+    id: str
+    type: str
+    function: ToolFunction
+
+
+@dataclass
+class UsageStats:
+    """
+    Token usage statistics from an API response.
+
+    Attributes:
+        prompt_tokens: Number of tokens in the prompt
+        completion_tokens: Number of tokens in the completion
+        total_tokens: Total tokens used
+        total_cost_usd: Cost in USD (if available from API)
+    """
+
+    prompt_tokens: int = 0
+    completion_tokens: int = 0
+    total_tokens: int = 0
+    total_cost_usd: Optional[float] = None
+
+    @property
+    def input_tokens(self) -> int:
+        """Alias for prompt_tokens."""
+        return self.prompt_tokens
+
+    @property
+    def output_tokens(self) -> int:
+        """Alias for completion_tokens."""
+        return self.completion_tokens
+
+
+@dataclass
+class ChatMessage:
+    """
+    A single message in a chat conversation.
+
+    Attributes:
+        role: The role of the message sender
+        content: Message content (text or structured content blocks)
+        name: Optional name for the sender
+        tool_calls: List of tool calls (for assistant messages)
+        tool_call_id: Tool call ID this message responds to (for tool messages)
+    """
+
+    role: str
+    content: Union[str, List[Dict[str, Any]], None] = None
+    name: Optional[str] = None
+    tool_calls: Optional[List[ToolCall]] = None
+    tool_call_id: Optional[str] = None
+
+    def to_dict(self) -> Dict[str, Any]:
+        """Convert to dictionary format for API requests."""
+        result: Dict[str, Any] = {"role": self.role}
+
+        if self.content is not None:
+            result["content"] = self.content
+
+        if self.name:
+            result["name"] = self.name
+
+        if self.tool_calls:
+            result["tool_calls"] = [
+                {
+                    "id": tc.id,
+                    "type": tc.type,
+                    "function": {
+                        "name": tc.function.name,
+                        "arguments": tc.function.arguments,
+                    },
+                }
+                for tc in self.tool_calls
+            ]
+
+        if self.tool_call_id:
+            result["tool_call_id"] = self.tool_call_id
+
+        return result
+
+
+@dataclass
+class ChatResponseChoice:
+    """
+    A single choice in a chat response.
+
+    Attributes:
+        index: Index of this choice
+        message: The response message
+        finish_reason: Why the response ended
+    """
+
+    index: int
+    message: ChatMessage
+    finish_reason: Optional[str] = None
+
+
+@dataclass
+class ChatResponse:
+    """
+    Response from a chat completion request.
+
+    Attributes:
+        id: Unique identifier for this response
+        choices: List of response choices
+        usage: Token usage statistics
+        model: Model that generated this response
+        created: Unix timestamp of creation
+    """
+
+    id: str
+    choices: List[ChatResponseChoice]
+    usage: Optional[UsageStats] = None
+    model: Optional[str] = None
+    created: Optional[int] = None
+
+    @property
+    def message(self) -> Optional[ChatMessage]:
+        """Get the first choice's message."""
+        if self.choices:
+            return self.choices[0].message
+        return None
+
+    @property
+    def content(self) -> Optional[str]:
+        """Get the text content of the first choice."""
+        msg = self.message
+        if msg and isinstance(msg.content, str):
+            return msg.content
+        return None
+
+    @property
+    def tool_calls(self) -> Optional[List[ToolCall]]:
+        """Get tool calls from the first choice."""
+        msg = self.message
+        if msg:
+            return msg.tool_calls
+        return None
+
+
+@dataclass
+class StreamChunk:
+    """
+    A single chunk from a streaming response.
+
+    Attributes:
+        id: Response ID
+        delta_content: New content in this chunk
+        finish_reason: Finish reason (if this is the last chunk)
+        usage: Usage stats (usually in the last chunk)
+        error: Error message if something went wrong
+    """
+
+    id: str
+    delta_content: Optional[str] = None
+    finish_reason: Optional[str] = None
+    usage: Optional[UsageStats] = None
+    error: Optional[str] = None
+
+
+@dataclass
+class ModelInfo:
+    """
+    Information about an AI model.
+
+    Attributes:
+        id: Unique model identifier
+        name: Display name
+        description: Model description
+        context_length: Maximum context window size
+        pricing: Pricing info (input/output per million tokens)
+        supported_parameters: List of supported API parameters
+        input_modalities: Supported input types (text, image, etc.)
+        output_modalities: Supported output types
+    """
+
+    id: str
+    name: str
+    description: str = ""
+    context_length: int = 0
+    pricing: Dict[str, float] = field(default_factory=dict)
+    supported_parameters: List[str] = field(default_factory=list)
+    input_modalities: List[str] = field(default_factory=lambda: ["text"])
+    output_modalities: List[str] = field(default_factory=lambda: ["text"])
+
+    def supports_images(self) -> bool:
+        """Check if model supports image input."""
+        return "image" in self.input_modalities
+
+    def supports_tools(self) -> bool:
+        """Check if model supports function calling/tools."""
+        return "tools" in self.supported_parameters or "functions" in self.supported_parameters
+
+    def supports_streaming(self) -> bool:
+        """Check if model supports streaming responses."""
+        return "stream" in self.supported_parameters
+
+    def supports_online(self) -> bool:
+        """Check if model supports web search (online mode)."""
+        return self.supports_tools()
+
+
+@dataclass
+class ProviderCapabilities:
+    """
+    Capabilities supported by a provider.
+
+    Attributes:
+        streaming: Provider supports streaming responses
+        tools: Provider supports function calling
+        images: Provider supports image inputs
+        online: Provider supports web search
+        max_context: Maximum context length across all models
+    """
+
+    streaming: bool = True
+    tools: bool = True
+    images: bool = True
+    online: bool = False
+    max_context: int = 128000
+
+
+class AIProvider(ABC):
+    """
+    Abstract base class for AI model providers.
+
+    All provider implementations must inherit from this class
+    and implement the required abstract methods.
+    """
+
+    def __init__(self, api_key: str, base_url: Optional[str] = None):
+        """
+        Initialize the provider.
+
+        Args:
+            api_key: API key for authentication
+            base_url: Optional custom base URL for the API
+        """
+        self.api_key = api_key
+        self.base_url = base_url
+
+    @property
+    @abstractmethod
+    def name(self) -> str:
+        """Get the provider name."""
+        pass
+
+    @property
+    @abstractmethod
+    def capabilities(self) -> ProviderCapabilities:
+        """Get provider capabilities."""
+        pass
+
+    @abstractmethod
+    def list_models(self) -> List[ModelInfo]:
+        """
+        Fetch available models from the provider.
+
+        Returns:
+            List of available models with their info
+        """
+        pass
+
+    @abstractmethod
+    def get_model(self, model_id: str) -> Optional[ModelInfo]:
+        """
+        Get information about a specific model.
+
+        Args:
+            model_id: The model identifier
+
+        Returns:
+            Model information or None if not found
+        """
+        pass
+
+    @abstractmethod
+    def chat(
+        self,
+        model: str,
+        messages: List[ChatMessage],
+        stream: bool = False,
+        max_tokens: Optional[int] = None,
+        temperature: Optional[float] = None,
+        tools: Optional[List[Dict[str, Any]]] = None,
+        tool_choice: Optional[str] = None,
+        **kwargs: Any,
+    ) -> Union[ChatResponse, Iterator[StreamChunk]]:
+        """
+        Send a chat completion request.
+
+        Args:
+            model: Model ID to use
+            messages: List of chat messages
+            stream: Whether to stream the response
+            max_tokens: Maximum tokens in response
+            temperature: Sampling temperature
+            tools: List of tool definitions for function calling
+            tool_choice: How to handle tool selection ("auto", "none", etc.)
+            **kwargs: Additional provider-specific parameters
+
+        Returns:
+            ChatResponse for non-streaming, Iterator[StreamChunk] for streaming
+        """
+        pass
+
+    @abstractmethod
+    async def chat_async(
+        self,
+        model: str,
+        messages: List[ChatMessage],
+        stream: bool = False,
+        max_tokens: Optional[int] = None,
+        temperature: Optional[float] = None,
+        tools: Optional[List[Dict[str, Any]]] = None,
+        tool_choice: Optional[str] = None,
+        **kwargs: Any,
+    ) -> Union[ChatResponse, AsyncIterator[StreamChunk]]:
+        """
+        Send an async chat completion request.
+
+        Args:
+            model: Model ID to use
+            messages: List of chat messages
+            stream: Whether to stream the response
+            max_tokens: Maximum tokens in response
+            temperature: Sampling temperature
+            tools: List of tool definitions for function calling
+            tool_choice: How to handle tool selection
+            **kwargs: Additional provider-specific parameters
+
+        Returns:
+            ChatResponse for non-streaming, AsyncIterator[StreamChunk] for streaming
+        """
+        pass
+
+    @abstractmethod
+    def get_credits(self) -> Optional[Dict[str, Any]]:
+        """
+        Get account credit/balance information.
+
+        Returns:
+            Dict with credit info or None if not supported
+        """
+        pass
+
+    def validate_api_key(self) -> bool:
+        """
+        Validate that the API key is valid.
+
+        Returns:
+            True if API key is valid
+        """
+        try:
+            self.list_models()
+            return True
+        except Exception:
+            return False

oai/providers/openrouter.py

@@ -0,0 +1,630 @@
+"""
+OpenRouter provider implementation.
+
+This module implements the AIProvider interface for OpenRouter,
+supporting chat completions, streaming, and function calling.
+"""
+
+from typing import Any, AsyncIterator, Dict, Iterator, List, Optional, Union
+
+import requests
+from openrouter import OpenRouter
+
+from oai.constants import APP_NAME, APP_URL, DEFAULT_BASE_URL
+from oai.providers.base import (
+    AIProvider,
+    ChatMessage,
+    ChatResponse,
+    ChatResponseChoice,
+    ModelInfo,
+    ProviderCapabilities,
+    StreamChunk,
+    ToolCall,
+    ToolFunction,
+    UsageStats,
+)
+from oai.utils.logging import get_logger
+
+
+class OpenRouterProvider(AIProvider):
+    """
+    OpenRouter API provider implementation.
+
+    Provides access to multiple AI models through OpenRouter's unified API,
+    supporting chat completions, streaming responses, and function calling.
+
+    Attributes:
+        client: The underlying OpenRouter client
+        _models_cache: Cached list of available models
+    """
+
+    def __init__(
+        self,
+        api_key: str,
+        base_url: Optional[str] = None,
+        app_name: str = APP_NAME,
+        app_url: str = APP_URL,
+    ):
+        """
+        Initialize the OpenRouter provider.
+
+        Args:
+            api_key: OpenRouter API key
+            base_url: Optional custom base URL
+            app_name: Application name for API headers
+            app_url: Application URL for API headers
+        """
+        super().__init__(api_key, base_url or DEFAULT_BASE_URL)
+        self.app_name = app_name
+        self.app_url = app_url
+        self.client = OpenRouter(api_key=api_key)
+        self._models_cache: Optional[List[ModelInfo]] = None
+        self._raw_models_cache: Optional[List[Dict[str, Any]]] = None
+
+        self.logger = get_logger()
+        self.logger.info(f"OpenRouter provider initialized with base URL: {self.base_url}")
+
+    @property
+    def name(self) -> str:
+        """Get the provider name."""
+        return "OpenRouter"
+
+    @property
+    def capabilities(self) -> ProviderCapabilities:
+        """Get provider capabilities."""
+        return ProviderCapabilities(
+            streaming=True,
+            tools=True,
+            images=True,
+            online=True,
+            max_context=2000000,  # Claude models support up to 200k
+        )
+
+    def _get_headers(self) -> Dict[str, str]:
+        """Get standard HTTP headers for API requests."""
+        headers = {
+            "HTTP-Referer": self.app_url,
+            "X-Title": self.app_name,
+        }
+        if self.api_key:
+            headers["Authorization"] = f"Bearer {self.api_key}"
+        return headers
+
+    def _parse_model(self, model_data: Dict[str, Any]) -> ModelInfo:
+        """
+        Parse raw model data into ModelInfo.
+
+        Args:
+            model_data: Raw model data from API
+
+        Returns:
+            Parsed ModelInfo object
+        """
+        architecture = model_data.get("architecture", {})
+        pricing_data = model_data.get("pricing", {})
+
+        # Parse pricing (convert from string to float if needed)
+        pricing = {}
+        for key in ["prompt", "completion"]:
+            value = pricing_data.get(key)
+            if value is not None:
+                try:
+                    # Convert from per-token to per-million-tokens
+                    pricing[key] = float(value) * 1_000_000
+                except (ValueError, TypeError):
+                    pricing[key] = 0.0
+
+        return ModelInfo(
+            id=model_data.get("id", ""),
+            name=model_data.get("name", model_data.get("id", "")),
+            description=model_data.get("description", ""),
+            context_length=model_data.get("context_length", 0),
+            pricing=pricing,
+            supported_parameters=model_data.get("supported_parameters", []),
+            input_modalities=architecture.get("input_modalities", ["text"]),
+            output_modalities=architecture.get("output_modalities", ["text"]),
+        )
+
+    def list_models(self, filter_text_only: bool = True) -> List[ModelInfo]:
+        """
+        Fetch available models from OpenRouter.
+
+        Args:
+            filter_text_only: If True, exclude video-only models
+
+        Returns:
+            List of available models
+
+        Raises:
+            Exception: If API request fails
+        """
+        if self._models_cache is not None:
+            return self._models_cache
+
+        try:
+            response = requests.get(
+                f"{self.base_url}/models",
+                headers=self._get_headers(),
+                timeout=10,
+            )
+            response.raise_for_status()
+
+            raw_models = response.json().get("data", [])
+            self._raw_models_cache = raw_models
+
+            models = []
+            for model_data in raw_models:
+                # Optionally filter out video-only models
+                if filter_text_only:
+                    modalities = model_data.get("modalities", [])
+                    if modalities and "video" in modalities and "text" not in modalities:
+                        continue
+
+                models.append(self._parse_model(model_data))
+
+            self._models_cache = models
+            self.logger.info(f"Fetched {len(models)} models from OpenRouter")
+            return models
+
+        except requests.RequestException as e:
+            self.logger.error(f"Failed to fetch models: {e}")
+            raise
+
+    def get_raw_models(self) -> List[Dict[str, Any]]:
+        """
+        Get raw model data as returned by the API.
+
+        Useful for accessing provider-specific fields not in ModelInfo.
+
+        Returns:
+            List of raw model dictionaries
+        """
+        if self._raw_models_cache is None:
+            self.list_models()
+        return self._raw_models_cache or []
+
+    def get_model(self, model_id: str) -> Optional[ModelInfo]:
+        """
+        Get information about a specific model.
+
+        Args:
+            model_id: The model identifier
+
+        Returns:
+            Model information or None if not found
+        """
+        models = self.list_models()
+        for model in models:
+            if model.id == model_id:
+                return model
+        return None
+
+    def get_raw_model(self, model_id: str) -> Optional[Dict[str, Any]]:
+        """
+        Get raw model data for a specific model.
+
+        Args:
+            model_id: The model identifier
+
+        Returns:
+            Raw model dictionary or None if not found
+        """
+        raw_models = self.get_raw_models()
+        for model in raw_models:
+            if model.get("id") == model_id:
+                return model
+        return None
+
+    def _convert_messages(self, messages: List[ChatMessage]) -> List[Dict[str, Any]]:
+        """
+        Convert ChatMessage objects to API format.
+
+        Args:
+            messages: List of ChatMessage objects
+
+        Returns:
+            List of message dictionaries for the API
+        """
+        return [msg.to_dict() for msg in messages]
+
+    def _parse_usage(self, usage_data: Any) -> Optional[UsageStats]:
+        """
+        Parse usage data from API response.
+
+        Args:
+            usage_data: Raw usage data from API
+
+        Returns:
+            Parsed UsageStats or None
+        """
+        if not usage_data:
+            return None
+
+        # Handle both attribute and dict access
+        prompt_tokens = 0
+        completion_tokens = 0
+        total_cost = None
+
+        if hasattr(usage_data, "prompt_tokens"):
+            prompt_tokens = getattr(usage_data, "prompt_tokens", 0) or 0
+        elif isinstance(usage_data, dict):
+            prompt_tokens = usage_data.get("prompt_tokens", 0) or 0
+
+        if hasattr(usage_data, "completion_tokens"):
+            completion_tokens = getattr(usage_data, "completion_tokens", 0) or 0
+        elif isinstance(usage_data, dict):
+            completion_tokens = usage_data.get("completion_tokens", 0) or 0
+
+        # Try alternative naming (input_tokens/output_tokens)
+        if prompt_tokens == 0:
+            if hasattr(usage_data, "input_tokens"):
+                prompt_tokens = getattr(usage_data, "input_tokens", 0) or 0
+            elif isinstance(usage_data, dict):
+                prompt_tokens = usage_data.get("input_tokens", 0) or 0
+
+        if completion_tokens == 0:
+            if hasattr(usage_data, "output_tokens"):
+                completion_tokens = getattr(usage_data, "output_tokens", 0) or 0
+            elif isinstance(usage_data, dict):
+                completion_tokens = usage_data.get("output_tokens", 0) or 0
+
+        # Get cost if available
+        # OpenRouter returns cost in different places:
+        # 1. As 'total_cost_usd' in usage object (rare)
+        # 2. As 'usage' at root level (common - this is the dollar amount)
+        total_cost = None
+        if hasattr(usage_data, "total_cost_usd"):
+            total_cost = getattr(usage_data, "total_cost_usd", None)
+        elif hasattr(usage_data, "usage"):
+            # OpenRouter puts cost as 'usage' field (dollar amount)
+            total_cost = getattr(usage_data, "usage", None)
+        elif isinstance(usage_data, dict):
+            total_cost = usage_data.get("total_cost_usd") or usage_data.get("usage")
+
+        return UsageStats(
+            prompt_tokens=prompt_tokens,
+            completion_tokens=completion_tokens,
+            total_tokens=prompt_tokens + completion_tokens,
+            total_cost_usd=float(total_cost) if total_cost else None,
+        )
+
+    def _parse_tool_calls(self, tool_calls_data: Any) -> Optional[List[ToolCall]]:
+        """
+        Parse tool calls from API response.
+
+        Args:
+            tool_calls_data: Raw tool calls data
+
+        Returns:
+            List of ToolCall objects or None
+        """
+        if not tool_calls_data:
+            return None
+
+        tool_calls = []
+        for tc in tool_calls_data:
+            # Handle both attribute and dict access
+            if hasattr(tc, "id"):
+                tc_id = tc.id
+                tc_type = getattr(tc, "type", "function")
+                func = tc.function
+                func_name = func.name
+                func_args = func.arguments
+            else:
+                tc_id = tc.get("id", "")
+                tc_type = tc.get("type", "function")
+                func = tc.get("function", {})
+                func_name = func.get("name", "")
+                func_args = func.get("arguments", "{}")
+
+            tool_calls.append(
+                ToolCall(
+                    id=tc_id,
+                    type=tc_type,
+                    function=ToolFunction(name=func_name, arguments=func_args),
+                )
+            )
+
+        return tool_calls if tool_calls else None
+
+    def _parse_response(self, response: Any) -> ChatResponse:
+        """
+        Parse API response into ChatResponse.
+
+        Args:
+            response: Raw API response
+
+        Returns:
+            Parsed ChatResponse
+        """
+        choices = []
+        for choice in response.choices:
+            msg = choice.message
+            message = ChatMessage(
+                role=msg.role if hasattr(msg, "role") else "assistant",
+                content=msg.content if hasattr(msg, "content") else None,
+                tool_calls=self._parse_tool_calls(
+                    getattr(msg, "tool_calls", None)
+                ),
+            )
+            choices.append(
+                ChatResponseChoice(
+                    index=choice.index if hasattr(choice, "index") else 0,
+                    message=message,
+                    finish_reason=getattr(choice, "finish_reason", None),
+                )
+            )
+
+        return ChatResponse(
+            id=response.id if hasattr(response, "id") else "",
+            choices=choices,
+            usage=self._parse_usage(getattr(response, "usage", None)),
+            model=getattr(response, "model", None),
+            created=getattr(response, "created", None),
+        )
+
+    def chat(
+        self,
+        model: str,
+        messages: List[ChatMessage],
+        stream: bool = False,
+        max_tokens: Optional[int] = None,
+        temperature: Optional[float] = None,
+        tools: Optional[List[Dict[str, Any]]] = None,
+        tool_choice: Optional[str] = None,
+        transforms: Optional[List[str]] = None,
+        **kwargs: Any,
+    ) -> Union[ChatResponse, Iterator[StreamChunk]]:
+        """
+        Send a chat completion request to OpenRouter.
+
+        Args:
+            model: Model ID to use
+            messages: List of chat messages
+            stream: Whether to stream the response
+            max_tokens: Maximum tokens in response
+            temperature: Sampling temperature (0-2)
+            tools: List of tool definitions for function calling
+            tool_choice: How to handle tool selection ("auto", "none", etc.)
+            transforms: List of transforms (e.g., ["middle-out"])
+            **kwargs: Additional parameters
+
+        Returns:
+            ChatResponse for non-streaming, Iterator[StreamChunk] for streaming
+        """
+        # Build request parameters
+        params: Dict[str, Any] = {
+            "model": model,
+            "messages": self._convert_messages(messages),
+            "stream": stream,
+            "http_headers": self._get_headers(),
+        }
+
+        # Request usage stats in streaming responses
+        if stream:
+            params["stream_options"] = {"include_usage": True}
+
+        if max_tokens is not None:
+            params["max_tokens"] = max_tokens
+
+        if temperature is not None:
+            params["temperature"] = temperature
+
+        if tools:
+            params["tools"] = tools
+            params["tool_choice"] = tool_choice or "auto"
+
+        if transforms:
+            params["transforms"] = transforms
+
+        # Add any additional parameters
+        params.update(kwargs)
+
+        self.logger.debug(f"Sending chat request to model {model}")
+
+        try:
+            response = self.client.chat.send(**params)
+
+            if stream:
+                return self._stream_response(response)
+            else:
+                return self._parse_response(response)
+
+        except Exception as e:
+            self.logger.error(f"Chat request failed: {e}")
+            raise
+
+    def _stream_response(self, response: Any) -> Iterator[StreamChunk]:
+        """
+        Process a streaming response.
+
+        Args:
+            response: Streaming response from API
+
+        Yields:
+            StreamChunk objects
+        """
+        last_usage = None
+
+        try:
+            for chunk in response:
+                # Check for errors
+                if hasattr(chunk, "error") and chunk.error:
+                    yield StreamChunk(
+                        id=getattr(chunk, "id", ""),
+                        error=chunk.error.message if hasattr(chunk.error, "message") else str(chunk.error),
+                    )
+                    return
+
+                # Extract delta content
+                delta_content = None
+                finish_reason = None
+
+                if hasattr(chunk, "choices") and chunk.choices:
+                    choice = chunk.choices[0]
+                    if hasattr(choice, "delta"):
+                        delta = choice.delta
+                        if hasattr(delta, "content") and delta.content:
+                            delta_content = delta.content
+                    finish_reason = getattr(choice, "finish_reason", None)
+
+                # Track usage from last chunk
+                if hasattr(chunk, "usage") and chunk.usage:
+                    last_usage = self._parse_usage(chunk.usage)
+
+                yield StreamChunk(
+                    id=getattr(chunk, "id", ""),
+                    delta_content=delta_content,
+                    finish_reason=finish_reason,
+                    usage=last_usage if finish_reason else None,
+                )
+
+        except Exception as e:
+            self.logger.error(f"Stream error: {e}")
+            yield StreamChunk(id="", error=str(e))
+
+    async def chat_async(
+        self,
+        model: str,
+        messages: List[ChatMessage],
+        stream: bool = False,
+        max_tokens: Optional[int] = None,
+        temperature: Optional[float] = None,
+        tools: Optional[List[Dict[str, Any]]] = None,
+        tool_choice: Optional[str] = None,
+        **kwargs: Any,
+    ) -> Union[ChatResponse, AsyncIterator[StreamChunk]]:
+        """
+        Send an async chat completion request.
+
+        Note: Currently wraps the sync implementation.
+        TODO: Implement true async support when OpenRouter SDK supports it.
+
+        Args:
+            model: Model ID to use
+            messages: List of chat messages
+            stream: Whether to stream the response
+            max_tokens: Maximum tokens in response
+            temperature: Sampling temperature
+            tools: List of tool definitions
+            tool_choice: Tool selection mode
+            **kwargs: Additional parameters
+
+        Returns:
+            ChatResponse for non-streaming, AsyncIterator for streaming
+        """
+        # For now, use sync implementation
+        # TODO: Add true async when SDK supports it
+        result = self.chat(
+            model=model,
+            messages=messages,
+            stream=stream,
+            max_tokens=max_tokens,
+            temperature=temperature,
+            tools=tools,
+            tool_choice=tool_choice,
+            **kwargs,
+        )
+
+        if stream and isinstance(result, Iterator):
+            # Convert sync iterator to async
+            async def async_iter() -> AsyncIterator[StreamChunk]:
+                for chunk in result:
+                    yield chunk
+
+            return async_iter()
+
+        return result
+
+    def get_credits(self) -> Optional[Dict[str, Any]]:
+        """
+        Get OpenRouter account credit information.
+
+        Returns:
+            Dict with credit info:
+                - total_credits: Total credits purchased
+                - used_credits: Credits used
+                - credits_left: Remaining credits
+
+        Raises:
+            Exception: If API request fails
+        """
+        if not self.api_key:
+            return None
+
+        try:
+            response = requests.get(
+                f"{self.base_url}/credits",
+                headers=self._get_headers(),
+                timeout=10,
+            )
+            response.raise_for_status()
+
+            data = response.json().get("data", {})
+            total_credits = float(data.get("total_credits", 0))
+            total_usage = float(data.get("total_usage", 0))
+            credits_left = total_credits - total_usage
+
+            return {
+                "total_credits": total_credits,
+                "used_credits": total_usage,
+                "credits_left": credits_left,
+                "total_credits_formatted": f"${total_credits:.2f}",
+                "used_credits_formatted": f"${total_usage:.2f}",
+                "credits_left_formatted": f"${credits_left:.2f}",
+            }
+
+        except Exception as e:
+            self.logger.error(f"Failed to fetch credits: {e}")
+            return None
+
+    def clear_cache(self) -> None:
+        """Clear the models cache to force a refresh."""
+        self._models_cache = None
+        self._raw_models_cache = None
+        self.logger.debug("Models cache cleared")
+
+    def get_effective_model_id(self, model_id: str, online_enabled: bool) -> str:
+        """
+        Get the effective model ID with online suffix if needed.
+
+        Args:
+            model_id: Base model ID
+            online_enabled: Whether online mode is enabled
+
+        Returns:
+            Model ID with :online suffix if applicable
+        """
+        if online_enabled and not model_id.endswith(":online"):
+            return f"{model_id}:online"
+        return model_id
+
+    def estimate_cost(
+        self,
+        model_id: str,
+        input_tokens: int,
+        output_tokens: int,
+    ) -> float:
+        """
+        Estimate the cost for a completion.
+
+        Args:
+            model_id: Model ID
+            input_tokens: Number of input tokens
+            output_tokens: Number of output tokens
+
+        Returns:
+            Estimated cost in USD
+        """
+        model = self.get_model(model_id)
+        if model and model.pricing:
+            input_cost = model.pricing.get("prompt", 0) * input_tokens / 1_000_000
+            output_cost = model.pricing.get("completion", 0) * output_tokens / 1_000_000
+            return input_cost + output_cost
+
+        # Fallback to default pricing if model not found
+        from oai.constants import MODEL_PRICING
+
+        input_cost = MODEL_PRICING["input"] * input_tokens / 1_000_000
+        output_cost = MODEL_PRICING["output"] * output_tokens / 1_000_000
+        return input_cost + output_cost

oai/py.typed

@@ -0,0 +1,2 @@
+# Marker file for PEP 561
+# This package supports type checking

oai/tui/__init__.py

@@ -0,0 +1,5 @@
+"""Textual TUI interface for oAI."""
+
+from oai.tui.app import oAIChatApp
+
+__all__ = ["oAIChatApp"]

oai/tui/screens/__init__.py

@@ -0,0 +1,21 @@
+"""TUI screens for oAI."""
+
+from oai.tui.screens.config_screen import ConfigScreen
+from oai.tui.screens.conversation_selector import ConversationSelectorScreen
+from oai.tui.screens.credits_screen import CreditsScreen
+from oai.tui.screens.dialogs import AlertDialog, ConfirmDialog, InputDialog
+from oai.tui.screens.help_screen import HelpScreen
+from oai.tui.screens.model_selector import ModelSelectorScreen
+from oai.tui.screens.stats_screen import StatsScreen
+
+__all__ = [
+    "AlertDialog",
+    "ConfirmDialog",
+    "ConfigScreen",
+    "ConversationSelectorScreen",
+    "CreditsScreen",
+    "InputDialog",
+    "HelpScreen",
+    "ModelSelectorScreen",
+    "StatsScreen",
+]

oai/tui/screens/config_screen.py

@@ -0,0 +1,107 @@
+"""Configuration screen for oAI TUI."""
+
+from textual.app import ComposeResult
+from textual.containers import Container, Vertical
+from textual.screen import ModalScreen
+from textual.widgets import Button, Static
+
+from oai.config.settings import Settings
+
+
+class ConfigScreen(ModalScreen[None]):
+    """Modal screen displaying configuration settings."""
+
+    DEFAULT_CSS = """
+    ConfigScreen {
+        align: center middle;
+    }
+
+    ConfigScreen > Container {
+        width: 70;
+        height: auto;
+        background: #1e1e1e;
+        border: solid #555555;
+    }
+
+    ConfigScreen .header {
+        dock: top;
+        width: 100%;
+        height: auto;
+        background: #2d2d2d;
+        color: #cccccc;
+        padding: 0 2;
+    }
+
+    ConfigScreen .content {
+        width: 100%;
+        height: auto;
+        background: #1e1e1e;
+        padding: 2;
+        color: #cccccc;
+    }
+
+    ConfigScreen .footer {
+        dock: bottom;
+        width: 100%;
+        height: auto;
+        background: #2d2d2d;
+        padding: 1 2;
+        align: center middle;
+    }
+    """
+
+    def __init__(self, settings: Settings):
+        super().__init__()
+        self.settings = settings
+
+    def compose(self) -> ComposeResult:
+        """Compose the screen."""
+        with Container():
+            yield Static("[bold]Configuration[/]", classes="header")
+            with Vertical(classes="content"):
+                yield Static(self._get_config_text(), markup=True)
+            with Vertical(classes="footer"):
+                yield Button("Close", id="close", variant="primary")
+
+    def _get_config_text(self) -> str:
+        """Generate the configuration text."""
+        from oai.constants import DEFAULT_SYSTEM_PROMPT
+
+        # API Key display
+        api_key_display = "***" + self.settings.api_key[-4:] if self.settings.api_key else "Not set"
+
+        # System prompt display
+        if self.settings.default_system_prompt is None:
+            system_prompt_display = f"[default] {DEFAULT_SYSTEM_PROMPT[:40]}..."
+        elif self.settings.default_system_prompt == "":
+            system_prompt_display = "[blank]"
+        else:
+            prompt = self.settings.default_system_prompt
+            system_prompt_display = prompt[:50] + "..." if len(prompt) > 50 else prompt
+
+        return f"""
+[bold cyan]═══ CONFIGURATION ═══[/]
+
+[bold]API Key:[/]           {api_key_display}
+[bold]Base URL:[/]          {self.settings.base_url}
+[bold]Default Model:[/]     {self.settings.default_model or "Not set"}
+
+[bold]System Prompt:[/]     {system_prompt_display}
+
+[bold]Streaming:[/]         {"on" if self.settings.stream_enabled else "off"}
+[bold]Cost Warning:[/]      ${self.settings.cost_warning_threshold:.4f}
+[bold]Max Tokens:[/]        {self.settings.max_tokens}
+[bold]Default Online:[/]    {"on" if self.settings.default_online_mode else "off"}
+[bold]Log Level:[/]         {self.settings.log_level}
+
+[dim]Use /config [setting] [value] to modify settings[/]
+"""
+
+    def on_button_pressed(self, event: Button.Pressed) -> None:
+        """Handle button press."""
+        self.dismiss()
+
+    def on_key(self, event) -> None:
+        """Handle keyboard shortcuts."""
+        if event.key in ("escape", "enter"):
+            self.dismiss()

oai/tui/screens/conversation_selector.py

@@ -0,0 +1,205 @@
+"""Conversation selector screen for oAI TUI."""
+
+from typing import List, Optional
+
+from textual.app import ComposeResult
+from textual.containers import Container, Vertical
+from textual.screen import ModalScreen
+from textual.widgets import Button, DataTable, Input, Static
+
+
+class ConversationSelectorScreen(ModalScreen[Optional[dict]]):
+    """Modal screen for selecting a saved conversation."""
+
+    DEFAULT_CSS = """
+    ConversationSelectorScreen {
+        align: center middle;
+    }
+
+    ConversationSelectorScreen > Container {
+        width: 80%;
+        height: 70%;
+        background: #1e1e1e;
+        border: solid #555555;
+        layout: vertical;
+    }
+
+    ConversationSelectorScreen .header {
+        height: 3;
+        width: 100%;
+        background: #2d2d2d;
+        color: #cccccc;
+        padding: 0 2;
+        content-align: center middle;
+    }
+
+    ConversationSelectorScreen .search-input {
+        height: 3;
+        width: 100%;
+        background: #2a2a2a;
+        border: solid #555555;
+        margin: 0 0 1 0;
+    }
+
+    ConversationSelectorScreen .search-input:focus {
+        border: solid #888888;
+    }
+
+    ConversationSelectorScreen DataTable {
+        height: 1fr;
+        width: 100%;
+        background: #1e1e1e;
+        border: solid #555555;
+    }
+
+    ConversationSelectorScreen .footer {
+        height: 5;
+        width: 100%;
+        background: #2d2d2d;
+        padding: 1 2;
+        align: center middle;
+    }
+
+    ConversationSelectorScreen Button {
+        margin: 0 1;
+    }
+    """
+
+    def __init__(self, conversations: List[dict]):
+        super().__init__()
+        self.all_conversations = conversations
+        self.filtered_conversations = conversations
+        self.selected_conversation: Optional[dict] = None
+
+    def compose(self) -> ComposeResult:
+        """Compose the screen."""
+        with Container():
+            yield Static(
+                f"[bold]Load Conversation[/] [dim]({len(self.all_conversations)} saved)[/]",
+                classes="header"
+            )
+            yield Input(placeholder="Search conversations...", id="search-input", classes="search-input")
+            yield DataTable(id="conv-table", cursor_type="row", show_header=True, zebra_stripes=True)
+            with Vertical(classes="footer"):
+                yield Button("Load", id="load", variant="success")
+                yield Button("Cancel", id="cancel", variant="error")
+
+    def on_mount(self) -> None:
+        """Initialize the table when mounted."""
+        table = self.query_one("#conv-table", DataTable)
+
+        # Add columns
+        table.add_column("#", width=5)
+        table.add_column("Name", width=40)
+        table.add_column("Messages", width=12)
+        table.add_column("Last Saved", width=20)
+
+        # Populate table
+        self._populate_table()
+
+        # Focus table if list is small (fits on screen), otherwise focus search
+        if len(self.all_conversations) <= 10:
+            table.focus()
+        else:
+            search_input = self.query_one("#search-input", Input)
+            search_input.focus()
+
+    def _populate_table(self) -> None:
+        """Populate the table with conversations."""
+        table = self.query_one("#conv-table", DataTable)
+        table.clear()
+
+        for idx, conv in enumerate(self.filtered_conversations, 1):
+            name = conv.get("name", "Unknown")
+            message_count = str(conv.get("message_count", 0))
+            last_saved = conv.get("last_saved", "Unknown")
+
+            # Format timestamp if it's a full datetime
+            if "T" in last_saved or len(last_saved) > 20:
+                try:
+                    # Truncate to just date and time
+                    last_saved = last_saved[:19].replace("T", " ")
+                except:
+                    pass
+
+            table.add_row(
+                str(idx),
+                name,
+                message_count,
+                last_saved,
+                key=str(idx)
+            )
+
+    def on_input_changed(self, event: Input.Changed) -> None:
+        """Filter conversations based on search input."""
+        if event.input.id != "search-input":
+            return
+
+        search_term = event.value.lower()
+
+        if not search_term:
+            self.filtered_conversations = self.all_conversations
+        else:
+            self.filtered_conversations = [
+                c for c in self.all_conversations
+                if search_term in c.get("name", "").lower()
+            ]
+
+        self._populate_table()
+
+    def on_data_table_row_selected(self, event: DataTable.RowSelected) -> None:
+        """Handle row selection (click)."""
+        try:
+            row_index = int(event.row_key.value) - 1
+            if 0 <= row_index < len(self.filtered_conversations):
+                self.selected_conversation = self.filtered_conversations[row_index]
+        except (ValueError, IndexError):
+            pass
+
+    def on_data_table_row_highlighted(self, event) -> None:
+        """Handle row highlight (arrow key navigation)."""
+        try:
+            table = self.query_one("#conv-table", DataTable)
+            if table.cursor_row is not None:
+                row_data = table.get_row_at(table.cursor_row)
+                if row_data:
+                    row_index = int(row_data[0]) - 1
+                    if 0 <= row_index < len(self.filtered_conversations):
+                        self.selected_conversation = self.filtered_conversations[row_index]
+        except (ValueError, IndexError, AttributeError):
+            pass
+
+    def on_button_pressed(self, event: Button.Pressed) -> None:
+        """Handle button press."""
+        if event.button.id == "load":
+            if self.selected_conversation:
+                self.dismiss(self.selected_conversation)
+            else:
+                self.dismiss(None)
+        else:
+            self.dismiss(None)
+
+    def on_key(self, event) -> None:
+        """Handle keyboard shortcuts."""
+        if event.key == "escape":
+            self.dismiss(None)
+        elif event.key == "enter":
+            # If in search input, move to table
+            search_input = self.query_one("#search-input", Input)
+            if search_input.has_focus:
+                table = self.query_one("#conv-table", DataTable)
+                table.focus()
+            # If in table, select current row
+            else:
+                table = self.query_one("#conv-table", DataTable)
+                if table.cursor_row is not None:
+                    try:
+                        row_data = table.get_row_at(table.cursor_row)
+                        if row_data:
+                            row_index = int(row_data[0]) - 1
+                            if 0 <= row_index < len(self.filtered_conversations):
+                                selected = self.filtered_conversations[row_index]
+                                self.dismiss(selected)
+                    except (ValueError, IndexError, AttributeError):
+                        if self.selected_conversation:
+                            self.dismiss(self.selected_conversation)

oai/tui/screens/credits_screen.py

@@ -0,0 +1,125 @@
+"""Credits screen for oAI TUI."""
+
+from typing import Optional, Dict, Any
+
+from textual.app import ComposeResult
+from textual.containers import Container, Vertical
+from textual.screen import ModalScreen
+from textual.widgets import Button, Static
+
+from oai.core.client import AIClient
+
+
+class CreditsScreen(ModalScreen[None]):
+    """Modal screen displaying account credits."""
+
+    DEFAULT_CSS = """
+    CreditsScreen {
+        align: center middle;
+    }
+
+    CreditsScreen > Container {
+        width: 60;
+        height: auto;
+        background: #1e1e1e;
+        border: solid #555555;
+    }
+
+    CreditsScreen .header {
+        dock: top;
+        width: 100%;
+        height: auto;
+        background: #2d2d2d;
+        color: #cccccc;
+        padding: 0 2;
+    }
+
+    CreditsScreen .content {
+        width: 100%;
+        height: auto;
+        background: #1e1e1e;
+        padding: 2;
+        color: #cccccc;
+    }
+
+    CreditsScreen .footer {
+        dock: bottom;
+        width: 100%;
+        height: auto;
+        background: #2d2d2d;
+        padding: 1 2;
+        align: center middle;
+    }
+    """
+
+    def __init__(self, client: AIClient):
+        super().__init__()
+        self.client = client
+        self.credits_data: Optional[Dict[str, Any]] = None
+
+    def compose(self) -> ComposeResult:
+        """Compose the screen."""
+        with Container():
+            yield Static("[bold]Account Credits[/]", classes="header")
+            with Vertical(classes="content"):
+                yield Static("[dim]Loading...[/]", id="credits-content", markup=True)
+            with Vertical(classes="footer"):
+                yield Button("Close", id="close", variant="primary")
+
+    def on_mount(self) -> None:
+        """Fetch credits when mounted."""
+        self.fetch_credits()
+
+    def fetch_credits(self) -> None:
+        """Fetch and display credits information."""
+        try:
+            self.credits_data = self.client.provider.get_credits()
+            content = self.query_one("#credits-content", Static)
+            content.update(self._get_credits_text())
+        except Exception as e:
+            content = self.query_one("#credits-content", Static)
+            content.update(f"[red]Error fetching credits:[/]\n{str(e)}")
+
+    def _get_credits_text(self) -> str:
+        """Generate the credits text."""
+        if not self.credits_data:
+            return "[yellow]No credit information available[/]"
+
+        total = self.credits_data.get("total_credits", 0)
+        used = self.credits_data.get("used_credits", 0)
+        remaining = self.credits_data.get("credits_left", 0)
+
+        # Calculate percentage used
+        if total > 0:
+            percent_used = (used / total) * 100
+            percent_remaining = (remaining / total) * 100
+        else:
+            percent_used = 0
+            percent_remaining = 0
+
+        # Color code based on remaining credits
+        if percent_remaining > 50:
+            remaining_color = "green"
+        elif percent_remaining > 20:
+            remaining_color = "yellow"
+        else:
+            remaining_color = "red"
+
+        return f"""
+[bold cyan]═══ OPENROUTER CREDITS ═══[/]
+
+[bold]Total Credits:[/]      ${total:.2f}
+[bold]Used:[/]               ${used:.2f} [dim]({percent_used:.1f}%)[/]
+[bold]Remaining:[/]          [{remaining_color}]${remaining:.2f}[/] [dim]({percent_remaining:.1f}%)[/]
+
+[dim]Visit openrouter.ai to add more credits[/]
+"""
+
+    def on_button_pressed(self, event: Button.Pressed) -> None:
+        """Handle button press."""
+        self.dismiss()
+
+    def on_key(self, event) -> None:
+        """Handle keyboard shortcuts."""
+        if event.key in ("escape", "enter"):
+            self.dismiss()

oai/tui/screens/dialogs.py

@@ -0,0 +1,236 @@
+"""Modal dialog screens for oAI TUI."""
+
+from typing import Callable, Optional
+
+from textual.app import ComposeResult
+from textual.containers import Container, Horizontal, Vertical
+from textual.screen import ModalScreen
+from textual.widgets import Button, Input, Label, Static
+
+
+class ConfirmDialog(ModalScreen[bool]):
+    """A confirmation dialog with Yes/No buttons."""
+
+    DEFAULT_CSS = """
+    ConfirmDialog {
+        align: center middle;
+    }
+
+    ConfirmDialog > Container {
+        width: 60;
+        height: auto;
+        background: #2d2d2d;
+        border: solid #555555;
+        padding: 2;
+    }
+
+    ConfirmDialog Label {
+        width: 100%;
+        content-align: center middle;
+        margin-bottom: 2;
+        color: #cccccc;
+    }
+
+    ConfirmDialog Horizontal {
+        width: 100%;
+        height: auto;
+        align: center middle;
+    }
+
+    ConfirmDialog Button {
+        margin: 0 1;
+    }
+    """
+
+    def __init__(
+        self,
+        message: str,
+        title: str = "Confirm",
+        yes_label: str = "Yes",
+        no_label: str = "No",
+    ):
+        super().__init__()
+        self.message = message
+        self.title = title
+        self.yes_label = yes_label
+        self.no_label = no_label
+
+    def compose(self) -> ComposeResult:
+        """Compose the dialog."""
+        with Container():
+            yield Static(f"[bold]{self.title}[/]", classes="dialog-title")
+            yield Label(self.message)
+            with Horizontal():
+                yield Button(self.yes_label, id="yes", variant="success")
+                yield Button(self.no_label, id="no", variant="error")
+
+    def on_button_pressed(self, event: Button.Pressed) -> None:
+        """Handle button press."""
+        if event.button.id == "yes":
+            self.dismiss(True)
+        else:
+            self.dismiss(False)
+
+    def on_key(self, event) -> None:
+        """Handle keyboard shortcuts."""
+        if event.key == "escape":
+            self.dismiss(False)
+        elif event.key == "enter":
+            self.dismiss(True)
+
+
+class InputDialog(ModalScreen[Optional[str]]):
+    """An input dialog for text entry."""
+
+    DEFAULT_CSS = """
+    InputDialog {
+        align: center middle;
+    }
+
+    InputDialog > Container {
+        width: 70;
+        height: auto;
+        background: #2d2d2d;
+        border: solid #555555;
+        padding: 2;
+    }
+
+    InputDialog Label {
+        width: 100%;
+        margin-bottom: 1;
+        color: #cccccc;
+    }
+
+    InputDialog Input {
+        width: 100%;
+        margin-bottom: 2;
+        background: #3a3a3a;
+        border: solid #555555;
+    }
+
+    InputDialog Input:focus {
+        border: solid #888888;
+    }
+
+    InputDialog Horizontal {
+        width: 100%;
+        height: auto;
+        align: center middle;
+    }
+
+    InputDialog Button {
+        margin: 0 1;
+    }
+    """
+
+    def __init__(
+        self,
+        message: str,
+        title: str = "Input",
+        default: str = "",
+        placeholder: str = "",
+    ):
+        super().__init__()
+        self.message = message
+        self.title = title
+        self.default = default
+        self.placeholder = placeholder
+
+    def compose(self) -> ComposeResult:
+        """Compose the dialog."""
+        with Container():
+            yield Static(f"[bold]{self.title}[/]", classes="dialog-title")
+            yield Label(self.message)
+            yield Input(
+                value=self.default,
+                placeholder=self.placeholder,
+                id="input-field"
+            )
+            with Horizontal():
+                yield Button("OK", id="ok", variant="primary")
+                yield Button("Cancel", id="cancel")
+
+    def on_mount(self) -> None:
+        """Focus the input field when mounted."""
+        input_field = self.query_one("#input-field", Input)
+        input_field.focus()
+
+    def on_button_pressed(self, event: Button.Pressed) -> None:
+        """Handle button press."""
+        if event.button.id == "ok":
+            input_field = self.query_one("#input-field", Input)
+            self.dismiss(input_field.value)
+        else:
+            self.dismiss(None)
+
+    def on_input_submitted(self, event: Input.Submitted) -> None:
+        """Handle Enter key in input field."""
+        self.dismiss(event.value)
+
+    def on_key(self, event) -> None:
+        """Handle keyboard shortcuts."""
+        if event.key == "escape":
+            self.dismiss(None)
+
+
+class AlertDialog(ModalScreen[None]):
+    """A simple alert/message dialog."""
+
+    DEFAULT_CSS = """
+    AlertDialog {
+        align: center middle;
+    }
+
+    AlertDialog > Container {
+        width: 60;
+        height: auto;
+        background: #2d2d2d;
+        border: solid #555555;
+        padding: 2;
+    }
+
+    AlertDialog Label {
+        width: 100%;
+        content-align: center middle;
+        margin-bottom: 2;
+        color: #cccccc;
+    }
+
+    AlertDialog Horizontal {
+        width: 100%;
+        height: auto;
+        align: center middle;
+    }
+    """
+
+    def __init__(self, message: str, title: str = "Alert", variant: str = "default"):
+        super().__init__()
+        self.message = message
+        self.title = title
+        self.variant = variant
+
+    def compose(self) -> ComposeResult:
+        """Compose the dialog."""
+        # Choose color based on variant (using design system)
+        color = "$primary"
+        if self.variant == "error":
+            color = "$error"
+        elif self.variant == "success":
+            color = "$success"
+        elif self.variant == "warning":
+            color = "$warning"
+
+        with Container():
+            yield Static(f"[bold {color}]{self.title}[/]", classes="dialog-title")
+            yield Label(self.message)
+            with Horizontal():
+                yield Button("OK", id="ok", variant="primary")
+
+    def on_button_pressed(self, event: Button.Pressed) -> None:
+        """Handle button press."""
+        self.dismiss()
+
+    def on_key(self, event) -> None:
+        """Handle keyboard shortcuts."""
+        if event.key in ("escape", "enter"):
+            self.dismiss()

oai/tui/screens/help_screen.py

@@ -0,0 +1,140 @@
+"""Help screen for oAI TUI."""
+
+from textual.app import ComposeResult
+from textual.containers import Container, Vertical
+from textual.screen import ModalScreen
+from textual.widgets import Button, Static
+
+
+class HelpScreen(ModalScreen[None]):
+    """Modal screen displaying help and commands."""
+
+    DEFAULT_CSS = """
+    HelpScreen {
+        align: center middle;
+    }
+
+    HelpScreen > Container {
+        width: 90%;
+        height: 85%;
+        background: #1e1e1e;
+        border: solid #555555;
+    }
+
+    HelpScreen .header {
+        dock: top;
+        width: 100%;
+        height: auto;
+        background: #2d2d2d;
+        color: #cccccc;
+        padding: 0 2;
+    }
+
+    HelpScreen .content {
+        height: 1fr;
+        background: #1e1e1e;
+        padding: 2;
+        overflow-y: auto;
+        color: #cccccc;
+    }
+
+    HelpScreen .footer {
+        dock: bottom;
+        width: 100%;
+        height: auto;
+        background: #2d2d2d;
+        padding: 1 2;
+        align: center middle;
+    }
+    """
+
+    def compose(self) -> ComposeResult:
+        """Compose the screen."""
+        with Container():
+            yield Static("[bold]oAI Help & Commands[/]", classes="header")
+            with Vertical(classes="content"):
+                yield Static(self._get_help_text(), markup=True)
+            with Vertical(classes="footer"):
+                yield Button("Close", id="close", variant="primary")
+
+    def _get_help_text(self) -> str:
+        """Generate the help text."""
+        return """
+[bold cyan]═══ KEYBOARD SHORTCUTS ═══[/]
+[bold]F1[/]             Show this help (Ctrl+H may not work)
+[bold]F2[/]             Open model selector (Ctrl+M may not work)
+[bold]F3[/]             Copy last AI response to clipboard
+[bold]Ctrl+S[/]         Show session statistics
+[bold]Ctrl+L[/]         Clear chat display
+[bold]Ctrl+P[/]         Show previous message
+[bold]Ctrl+N[/]         Show next message
+[bold]Ctrl+Y[/]         Copy last AI response (alternative to F3)
+[bold]Ctrl+Q[/]         Quit application
+[bold]Up/Down[/]        Navigate input history
+[bold]ESC[/]            Close dialogs
+[dim]Note: Some Ctrl keys may be captured by your terminal[/]
+
+[bold cyan]═══ SLASH COMMANDS ═══[/]
+[bold yellow]Session Control:[/]
+/reset                    Clear conversation history (with confirmation)
+/clear                    Clear the chat display
+/memory on/off            Toggle conversation memory
+/online on/off            Toggle online search mode
+/exit, /quit, /bye        Exit the application
+
+[bold yellow]Model & Configuration:[/]
+/model [search]           Open model selector with optional search
+/config                   View configuration settings
+/config api               Set API key (prompts for input)
+/config stream on         Enable streaming responses
+/system [prompt]          Set session system prompt
+/maxtoken [n]             Set session token limit
+
+[bold yellow]Conversation Management:[/]
+/save [name]              Save current conversation
+/load [name]              Load saved conversation (shows picker if no name)
+/list                     List all saved conversations
+/delete <name>            Delete a saved conversation
+
+[bold yellow]Export:[/]
+/export md [file]         Export as Markdown
+/export json [file]       Export as JSON
+/export html [file]       Export as HTML
+
+[bold yellow]History Navigation:[/]
+/prev                     Show previous message in history
+/next                     Show next message in history
+
+[bold yellow]MCP (Model Context Protocol):[/]
+/mcp on                   Enable MCP file access
+/mcp off                  Disable MCP
+/mcp status               Show MCP status
+/mcp add <path>           Add folder for file access
+/mcp list                 List registered folders
+/mcp write                Toggle write permissions
+
+[bold yellow]Information & Utilities:[/]
+/help                     Show this help screen
+/stats                    Show session statistics
+/credits                  Check account credits
+/retry                    Retry last prompt
+/paste                    Paste from clipboard and send
+
+[bold cyan]═══ TIPS ═══[/]
+• Type [bold]/[/] to see command suggestions with [bold]Tab[/] to autocomplete
+• Use [bold]Up/Down arrows[/] to navigate your input history
+• Type [bold]//[/] at start to escape commands (sends /help as literal message)
+• All messages support [bold]Markdown formatting[/] with syntax highlighting
+• Responses stream in real-time for better interactivity
+• Enable MCP to let AI access your local files and databases
+• Use [bold]F1[/] or [bold]F2[/] if Ctrl shortcuts don't work in your terminal
+"""
+
+    def on_button_pressed(self, event: Button.Pressed) -> None:
+        """Handle button press."""
+        self.dismiss()
+
+    def on_key(self, event) -> None:
+        """Handle keyboard shortcuts."""
+        if event.key in ("escape", "enter"):
+            self.dismiss()

oai/tui/screens/model_selector.py

@@ -0,0 +1,254 @@
+"""Model selector screen for oAI TUI."""
+
+from typing import List, Optional
+
+from textual.app import ComposeResult
+from textual.containers import Container, Vertical
+from textual.screen import ModalScreen
+from textual.widgets import Button, DataTable, Input, Label, Static
+
+
+class ModelSelectorScreen(ModalScreen[Optional[dict]]):
+    """Modal screen for selecting an AI model."""
+
+    DEFAULT_CSS = """
+    ModelSelectorScreen {
+        align: center middle;
+    }
+
+    ModelSelectorScreen > Container {
+        width: 90%;
+        height: 85%;
+        background: #1e1e1e;
+        border: solid #555555;
+        layout: vertical;
+    }
+
+    ModelSelectorScreen .header {
+        height: 3;
+        width: 100%;
+        background: #2d2d2d;
+        color: #cccccc;
+        padding: 0 2;
+        content-align: center middle;
+    }
+
+    ModelSelectorScreen .search-input {
+        height: 3;
+        width: 100%;
+        background: #2a2a2a;
+        border: solid #555555;
+        margin: 0 0 1 0;
+    }
+
+    ModelSelectorScreen .search-input:focus {
+        border: solid #888888;
+    }
+
+    ModelSelectorScreen DataTable {
+        height: 1fr;
+        width: 100%;
+        background: #1e1e1e;
+        border: solid #555555;
+    }
+
+    ModelSelectorScreen .footer {
+        height: 5;
+        width: 100%;
+        background: #2d2d2d;
+        padding: 1 2;
+        align: center middle;
+    }
+
+    ModelSelectorScreen Button {
+        margin: 0 1;
+    }
+    """
+
+    def __init__(self, models: List[dict], current_model: Optional[str] = None):
+        super().__init__()
+        self.all_models = models
+        self.filtered_models = models
+        self.current_model = current_model
+        self.selected_model: Optional[dict] = None
+
+    def compose(self) -> ComposeResult:
+        """Compose the screen."""
+        with Container():
+            yield Static(
+                f"[bold]Select Model[/] [dim]({len(self.all_models)} available)[/]",
+                classes="header"
+            )
+            yield Input(placeholder="Search to filter models...", id="search-input", classes="search-input")
+            yield DataTable(id="model-table", cursor_type="row", show_header=True, zebra_stripes=True)
+            with Vertical(classes="footer"):
+                yield Button("Select", id="select", variant="success")
+                yield Button("Cancel", id="cancel", variant="error")
+
+    def on_mount(self) -> None:
+        """Initialize the table when mounted."""
+        table = self.query_one("#model-table", DataTable)
+
+        # Add columns
+        table.add_column("#", width=5)
+        table.add_column("Model ID", width=35)
+        table.add_column("Name", width=30)
+        table.add_column("Context", width=10)
+        table.add_column("Price", width=12)
+        table.add_column("Img", width=4)
+        table.add_column("Tools", width=6)
+        table.add_column("Online", width=7)
+
+        # Populate table
+        self._populate_table()
+
+        # Focus table if list is small (fits on screen), otherwise focus search
+        if len(self.filtered_models) <= 20:
+            table.focus()
+        else:
+            search_input = self.query_one("#search-input", Input)
+            search_input.focus()
+
+    def _populate_table(self) -> None:
+        """Populate the table with models."""
+        table = self.query_one("#model-table", DataTable)
+        table.clear()
+
+        rows_added = 0
+        for idx, model in enumerate(self.filtered_models, 1):
+            try:
+                model_id = model.get("id", "")
+                name = model.get("name", "")
+                context = str(model.get("context_length", "N/A"))
+
+                # Format pricing
+                pricing = model.get("pricing", {})
+                prompt_price = pricing.get("prompt", "0")
+                completion_price = pricing.get("completion", "0")
+
+                # Convert to numbers and format
+                try:
+                    prompt = float(prompt_price) * 1000000  # Convert to per 1M tokens
+                    completion = float(completion_price) * 1000000
+                    if prompt == 0 and completion == 0:
+                        price = "Free"
+                    else:
+                        price = f"${prompt:.2f}/${completion:.2f}"
+                except:
+                    price = "N/A"
+
+                # Check capabilities
+                architecture = model.get("architecture", {})
+                modality = architecture.get("modality", "")
+                supported_params = model.get("supported_parameters", [])
+
+                # Vision support: check if modality contains "image"
+                supports_vision = "image" in modality
+
+                # Tool support: check if "tools" or "tool_choice" in supported_parameters
+                supports_tools = "tools" in supported_params or "tool_choice" in supported_params
+
+                # Online support: check if model can use :online suffix (most models can)
+                # Models that already have :online in their ID support it
+                supports_online = ":online" in model_id or model_id not in ["openrouter/free"]
+
+                # Format capability indicators
+                img_indicator = "✓" if supports_vision else "-"
+                tools_indicator = "✓" if supports_tools else "-"
+                web_indicator = "✓" if supports_online else "-"
+
+                # Add row
+                table.add_row(
+                    str(idx),
+                    model_id,
+                    name,
+                    context,
+                    price,
+                    img_indicator,
+                    tools_indicator,
+                    web_indicator,
+                    key=str(idx)
+                )
+                rows_added += 1
+
+            except Exception:
+                # Silently skip rows that fail to add
+                pass
+
+    def on_input_changed(self, event: Input.Changed) -> None:
+        """Filter models based on search input."""
+        if event.input.id != "search-input":
+            return
+
+        search_term = event.value.lower()
+
+        if not search_term:
+            self.filtered_models = self.all_models
+        else:
+            self.filtered_models = [
+                m for m in self.all_models
+                if search_term in m.get("id", "").lower()
+                or search_term in m.get("name", "").lower()
+            ]
+
+        self._populate_table()
+
+    def on_data_table_row_selected(self, event: DataTable.RowSelected) -> None:
+        """Handle row selection (click or arrow navigation)."""
+        try:
+            row_index = int(event.row_key.value) - 1
+            if 0 <= row_index < len(self.filtered_models):
+                self.selected_model = self.filtered_models[row_index]
+        except (ValueError, IndexError):
+            pass
+
+    def on_data_table_row_highlighted(self, event) -> None:
+        """Handle row highlight (arrow key navigation)."""
+        try:
+            table = self.query_one("#model-table", DataTable)
+            if table.cursor_row is not None:
+                row_data = table.get_row_at(table.cursor_row)
+                if row_data:
+                    row_index = int(row_data[0]) - 1
+                    if 0 <= row_index < len(self.filtered_models):
+                        self.selected_model = self.filtered_models[row_index]
+        except (ValueError, IndexError, AttributeError):
+            pass
+
+    def on_button_pressed(self, event: Button.Pressed) -> None:
+        """Handle button press."""
+        if event.button.id == "select":
+            if self.selected_model:
+                self.dismiss(self.selected_model)
+            else:
+                # No selection, dismiss without result
+                self.dismiss(None)
+        else:
+            self.dismiss(None)
+
+    def on_key(self, event) -> None:
+        """Handle keyboard shortcuts."""
+        if event.key == "escape":
+            self.dismiss(None)
+        elif event.key == "enter":
+            # If in search input, move to table
+            search_input = self.query_one("#search-input", Input)
+            if search_input.has_focus:
+                table = self.query_one("#model-table", DataTable)
+                table.focus()
+            # If in table or anywhere else, select current row
+            else:
+                table = self.query_one("#model-table", DataTable)
+                # Get the currently highlighted row
+                if table.cursor_row is not None:
+                    try:
+                        row_key = table.get_row_at(table.cursor_row)
+                        if row_key:
+                            row_index = int(row_key[0]) - 1
+                            if 0 <= row_index < len(self.filtered_models):
+                                selected = self.filtered_models[row_index]
+                                self.dismiss(selected)
+                    except (ValueError, IndexError, AttributeError):
+                        # Fall back to previously selected model
+                        if self.selected_model:
+                            self.dismiss(self.selected_model)

oai/tui/screens/stats_screen.py

@@ -0,0 +1,129 @@
+"""Statistics screen for oAI TUI."""
+
+from textual.app import ComposeResult
+from textual.containers import Container, Vertical
+from textual.screen import ModalScreen
+from textual.widgets import Button, Static
+
+from oai.core.session import ChatSession
+
+
+class StatsScreen(ModalScreen[None]):
+    """Modal screen displaying session statistics."""
+
+    DEFAULT_CSS = """
+    StatsScreen {
+        align: center middle;
+    }
+
+    StatsScreen > Container {
+        width: 70;
+        height: auto;
+        background: #1e1e1e;
+        border: solid #555555;
+    }
+
+    StatsScreen .header {
+        dock: top;
+        width: 100%;
+        height: auto;
+        background: #2d2d2d;
+        color: #cccccc;
+        padding: 0 2;
+    }
+
+    StatsScreen .content {
+        width: 100%;
+        height: auto;
+        background: #1e1e1e;
+        padding: 2;
+        color: #cccccc;
+    }
+
+    StatsScreen .footer {
+        dock: bottom;
+        width: 100%;
+        height: auto;
+        background: #2d2d2d;
+        padding: 1 2;
+        align: center middle;
+    }
+    """
+
+    def __init__(self, session: ChatSession):
+        super().__init__()
+        self.session = session
+
+    def compose(self) -> ComposeResult:
+        """Compose the screen."""
+        with Container():
+            yield Static("[bold]Session Statistics[/]", classes="header")
+            with Vertical(classes="content"):
+                yield Static(self._get_stats_text(), markup=True)
+            with Vertical(classes="footer"):
+                yield Button("Close", id="close", variant="primary")
+
+    def _get_stats_text(self) -> str:
+        """Generate the statistics text."""
+        stats = self.session.stats
+
+        # Calculate averages
+        avg_input = stats.total_input_tokens // stats.message_count if stats.message_count > 0 else 0
+        avg_output = stats.total_output_tokens // stats.message_count if stats.message_count > 0 else 0
+        avg_cost = stats.total_cost / stats.message_count if stats.message_count > 0 else 0
+
+        # Get model info
+        model_name = "None"
+        model_context = "N/A"
+        if self.session.selected_model:
+            model_name = self.session.selected_model.get("name", "Unknown")
+            model_context = str(self.session.selected_model.get("context_length", "N/A"))
+
+        # MCP status
+        mcp_status = "Disabled"
+        if self.session.mcp_manager and self.session.mcp_manager.enabled:
+            mode = self.session.mcp_manager.mode
+            if mode == "files":
+                write = " (Write)" if self.session.mcp_manager.write_enabled else ""
+                mcp_status = f"Enabled - Files{write}"
+            elif mode == "database":
+                db_idx = self.session.mcp_manager.selected_db_index
+                if db_idx is not None:
+                    db_name = self.session.mcp_manager.databases[db_idx]["name"]
+                    mcp_status = f"Enabled - Database ({db_name})"
+
+        return f"""
+[bold cyan]═══ SESSION INFO ═══[/]
+[bold]Messages:[/]          {stats.message_count}
+[bold]Current Model:[/]     {model_name}
+[bold]Context Length:[/]    {model_context}
+[bold]Memory:[/]            {"Enabled" if self.session.memory_enabled else "Disabled"}
+[bold]Online Mode:[/]       {"Enabled" if self.session.online_enabled else "Disabled"}
+[bold]MCP:[/]               {mcp_status}
+
+[bold cyan]═══ TOKEN USAGE ═══[/]
+[bold]Input Tokens:[/]      {stats.total_input_tokens:,}
+[bold]Output Tokens:[/]     {stats.total_output_tokens:,}
+[bold]Total Tokens:[/]      {stats.total_tokens:,}
+
+[bold]Avg Input/Msg:[/]     {avg_input:,}
+[bold]Avg Output/Msg:[/]    {avg_output:,}
+
+[bold cyan]═══ COSTS ═══[/]
+[bold]Total Cost:[/]        ${stats.total_cost:.6f}
+[bold]Avg Cost/Msg:[/]      ${avg_cost:.6f}
+
+[bold cyan]═══ HISTORY ═══[/]
+[bold]History Size:[/]      {len(self.session.history)} entries
+[bold]Current Index:[/]     {self.session.current_index + 1 if self.session.history else 0}
+[bold]Memory Start:[/]      {self.session.memory_start_index + 1}
+"""
+
+    def on_button_pressed(self, event: Button.Pressed) -> None:
+        """Handle button press."""
+        self.dismiss()
+
+    def on_key(self, event) -> None:
+        """Handle keyboard shortcuts."""
+        if event.key in ("escape", "enter"):
+            self.dismiss()

oai/tui/styles.tcss

@@ -0,0 +1,169 @@
+/* Textual CSS for oAI TUI - Using Textual Design System */
+
+Screen {
+    background: $background;
+    overflow: hidden;
+}
+
+Header {
+    dock: top;
+    height: auto;
+    background: #2d2d2d;
+    color: #cccccc;
+    padding: 0 1;
+    border-bottom: solid #555555;
+}
+
+ChatDisplay {
+    background: $background;
+    border: none;
+    padding: 1;
+    scrollbar-background: $background;
+    scrollbar-color: $primary;
+    overflow-y: auto;
+}
+
+UserMessageWidget {
+    margin: 0 0 1 0;
+    padding: 1;
+    background: $surface;
+    border-left: thick $success;
+    height: auto;
+}
+
+SystemMessageWidget {
+    margin: 0 0 1 0;
+    padding: 1;
+    background: #2a2a2a;
+    border-left: thick #888888;
+    height: auto;
+    color: #cccccc;
+}
+
+AssistantMessageWidget {
+    margin: 0 0 1 0;
+    padding: 1;
+    background: $panel;
+    border-left: thick $accent;
+    height: auto;
+}
+
+#assistant-label {
+    margin-bottom: 1;
+    color: #cccccc;
+}
+
+#assistant-content {
+    height: auto;
+    max-height: 100%;
+    color: #cccccc;
+    link-color: #888888;
+    link-style: none;
+}
+
+InputBar {
+    dock: bottom;
+    height: auto;
+    background: #2d2d2d;
+    align: center middle;
+    border-top: solid #555555;
+    padding: 1;
+}
+
+#input-prefix {
+    width: auto;
+    padding: 0 1;
+    content-align: center middle;
+    color: #888888;
+}
+
+#input-prefix.prefix-hidden {
+    display: none;
+}
+
+#chat-input {
+    width: 85%;
+    height: 5;
+    min-height: 5;
+    background: #3a3a3a;
+    border: none;
+    padding: 1 2;
+    color: #ffffff;
+    content-align: left top;
+}
+
+#chat-input:focus {
+    background: #404040;
+}
+
+#command-dropdown {
+    display: none;
+    dock: bottom;
+    offset-y: -5;
+    offset-x: 7.5%;
+    height: auto;
+    max-height: 12;
+    width: 85%;
+    background: #2d2d2d;
+    border: solid #555555;
+    padding: 0;
+    layer: overlay;
+}
+
+#command-dropdown.visible {
+    display: block;
+}
+
+#command-dropdown #command-list {
+    background: #2d2d2d;
+    border: none;
+    scrollbar-background: #2d2d2d;
+    scrollbar-color: #555555;
+}
+
+Footer {
+    dock: bottom;
+    height: auto;
+    background: #252525;
+    color: #888888;
+    padding: 0 1;
+}
+
+/* Button styles */
+Button {
+    height: 3;
+    min-width: 10;
+    background: #3a3a3a;
+    color: #cccccc;
+    border: none;
+}
+
+Button:hover {
+    background: #4a4a4a;
+}
+
+Button:focus {
+    background: #505050;
+}
+
+Button.-primary {
+    background: #3a3a3a;
+}
+
+Button.-success {
+    background: #2d5016;
+    color: #90ee90;
+}
+
+Button.-success:hover {
+    background: #3a6b1e;
+}
+
+Button.-error {
+    background: #5a1a1a;
+    color: #ff6b6b;
+}
+
+Button.-error:hover {
+    background: #6e2222;
+}

oai/tui/widgets/__init__.py

@@ -0,0 +1,17 @@
+"""TUI widgets for oAI."""
+
+from oai.tui.widgets.chat_display import ChatDisplay
+from oai.tui.widgets.footer import Footer
+from oai.tui.widgets.header import Header
+from oai.tui.widgets.input_bar import InputBar
+from oai.tui.widgets.message import AssistantMessageWidget, SystemMessageWidget, UserMessageWidget
+
+__all__ = [
+    "ChatDisplay",
+    "Footer",
+    "Header",
+    "InputBar",
+    "UserMessageWidget",
+    "SystemMessageWidget",
+    "AssistantMessageWidget",
+]

oai/tui/widgets/chat_display.py

@@ -0,0 +1,21 @@
+"""Chat display widget for oAI TUI."""
+
+from textual.containers import ScrollableContainer
+from textual.widgets import Static
+
+
+class ChatDisplay(ScrollableContainer):
+    """Scrollable container for chat messages."""
+
+    def __init__(self):
+        super().__init__(id="chat-display")
+
+    async def add_message(self, widget: Static) -> None:
+        """Add a message widget to the display."""
+        await self.mount(widget)
+        self.scroll_end(animate=False)
+
+    def clear_messages(self) -> None:
+        """Clear all messages from the display."""
+        for child in list(self.children):
+            child.remove()

oai/tui/widgets/command_dropdown.py

@@ -0,0 +1,178 @@
+"""Command dropdown menu for TUI input."""
+
+from textual.app import ComposeResult
+from textual.containers import VerticalScroll
+from textual.widget import Widget
+from textual.widgets import Label, OptionList
+from textual.widgets.option_list import Option
+
+from oai.commands import registry
+
+
+class CommandDropdown(VerticalScroll):
+    """Dropdown menu showing available commands."""
+
+    DEFAULT_CSS = """
+    CommandDropdown {
+        display: none;
+        height: auto;
+        max-height: 12;
+        width: 80;
+        background: #2d2d2d;
+        border: solid #555555;
+        padding: 0;
+        layer: overlay;
+    }
+
+    CommandDropdown.visible {
+        display: block;
+    }
+
+    CommandDropdown OptionList {
+        height: auto;
+        max-height: 12;
+        background: #2d2d2d;
+        border: none;
+        padding: 0;
+    }
+
+    CommandDropdown OptionList > .option-list--option {
+        padding: 0 2;
+        color: #cccccc;
+        background: transparent;
+    }
+
+    CommandDropdown OptionList > .option-list--option-highlighted {
+        background: #3e3e3e;
+        color: #ffffff;
+    }
+    """
+
+    def __init__(self):
+        """Initialize the command dropdown."""
+        super().__init__(id="command-dropdown")
+        self._all_commands = []
+        self._load_commands()
+
+    def _load_commands(self) -> None:
+        """Load all available commands."""
+        # Get base commands with descriptions
+        base_commands = [
+            ("/help", "Show help screen"),
+            ("/model", "Select AI model"),
+            ("/stats", "Show session statistics"),
+            ("/credits", "Check account credits"),
+            ("/clear", "Clear chat display"),
+            ("/reset", "Reset conversation history"),
+            ("/memory on", "Enable conversation memory"),
+            ("/memory off", "Disable memory"),
+            ("/online on", "Enable online search"),
+            ("/online off", "Disable online search"),
+            ("/save", "Save current conversation"),
+            ("/load", "Load saved conversation"),
+            ("/list", "List saved conversations"),
+            ("/delete", "Delete a conversation"),
+            ("/export md", "Export as Markdown"),
+            ("/export json", "Export as JSON"),
+            ("/export html", "Export as HTML"),
+            ("/prev", "Show previous message"),
+            ("/next", "Show next message"),
+            ("/config", "View configuration"),
+            ("/config api", "Set API key"),
+            ("/system", "Set system prompt"),
+            ("/maxtoken", "Set token limit"),
+            ("/retry", "Retry last prompt"),
+            ("/paste", "Paste from clipboard"),
+            ("/mcp on", "Enable MCP file access"),
+            ("/mcp off", "Disable MCP"),
+            ("/mcp status", "Show MCP status"),
+            ("/mcp add", "Add folder/database"),
+            ("/mcp remove", "Remove folder/database"),
+            ("/mcp list", "List folders"),
+            ("/mcp write on", "Enable write mode"),
+            ("/mcp write off", "Disable write mode"),
+            ("/mcp files", "Switch to file mode"),
+            ("/mcp db list", "List databases"),
+        ]
+
+        self._all_commands = base_commands
+
+    def compose(self) -> ComposeResult:
+        """Compose the dropdown."""
+        yield OptionList(id="command-list")
+
+    def show_commands(self, filter_text: str = "") -> None:
+        """Show commands matching the filter.
+
+        Args:
+            filter_text: Text to filter commands by
+        """
+        option_list = self.query_one("#command-list", OptionList)
+        option_list.clear_options()
+
+        if not filter_text.startswith("/"):
+            self.remove_class("visible")
+            return
+
+        # Remove the leading slash for filtering
+        filter_without_slash = filter_text[1:].lower()
+
+        # Filter commands - show if filter text is contained anywhere in the command
+        if filter_without_slash:
+            matching = [
+                (cmd, desc) for cmd, desc in self._all_commands
+                if filter_without_slash in cmd[1:].lower()  # Skip the / in command for matching
+            ]
+        else:
+            # Show all commands when just "/" is typed
+            matching = self._all_commands
+
+        if not matching:
+            self.remove_class("visible")
+            return
+
+        # Add options - limit to 10 results
+        for cmd, desc in matching[:10]:
+            # Format: command in white, description in gray, separated by spaces
+            label = f"{cmd}  [dim]{desc}[/]" if desc else cmd
+            option_list.add_option(Option(label, id=cmd))
+
+        self.add_class("visible")
+
+        # Auto-select first option
+        if len(option_list._options) > 0:
+            option_list.highlighted = 0
+
+    def hide(self) -> None:
+        """Hide the dropdown."""
+        self.remove_class("visible")
+
+    def get_selected_command(self) -> str | None:
+        """Get the currently selected command.
+
+        Returns:
+            Selected command text or None
+        """
+        option_list = self.query_one("#command-list", OptionList)
+        if option_list.highlighted is not None:
+            option = option_list.get_option_at_index(option_list.highlighted)
+            return option.id
+        return None
+
+    def move_selection_up(self) -> None:
+        """Move selection up in the list."""
+        option_list = self.query_one("#command-list", OptionList)
+        if option_list.option_count > 0:
+            if option_list.highlighted is None:
+                option_list.highlighted = option_list.option_count - 1
+            elif option_list.highlighted > 0:
+                option_list.highlighted -= 1
+
+    def move_selection_down(self) -> None:
+        """Move selection down in the list."""
+        option_list = self.query_one("#command-list", OptionList)
+        if option_list.option_count > 0:
+            if option_list.highlighted is None:
+                option_list.highlighted = 0
+            elif option_list.highlighted < option_list.option_count - 1:
+                option_list.highlighted += 1

oai/tui/widgets/command_suggester.py

@@ -0,0 +1,58 @@
+"""Command suggester for TUI input."""
+
+from typing import Iterable
+
+from textual.suggester import Suggester
+
+from oai.commands import registry
+
+
+class CommandSuggester(Suggester):
+    """Suggester that provides command completions."""
+
+    def __init__(self):
+        """Initialize the command suggester."""
+        super().__init__(use_cache=False, case_sensitive=False)
+        # Get all command names from registry
+        self._commands = []
+        self._update_commands()
+
+    def _update_commands(self) -> None:
+        """Update the list of available commands."""
+        # Get all registered command names
+        command_names = registry.get_all_names()
+        # Add common MCP subcommands for better UX
+        mcp_subcommands = [
+            "/mcp on",
+            "/mcp off",
+            "/mcp status",
+            "/mcp add",
+            "/mcp remove",
+            "/mcp list",
+            "/mcp write on",
+            "/mcp write off",
+            "/mcp files",
+            "/mcp db list",
+        ]
+        self._commands = command_names + mcp_subcommands
+
+    async def get_suggestion(self, value: str) -> str | None:
+        """Get a command suggestion based on the current input.
+
+        Args:
+            value: Current input value
+
+        Returns:
+            Suggested completion or None
+        """
+        if not value or not value.startswith("/"):
+            return None
+
+        # Find the first command that starts with the input
+        value_lower = value.lower()
+        for cmd in self._commands:
+            if cmd.lower().startswith(value_lower) and cmd.lower() != value_lower:
+                # Return the rest of the command (after what's already typed)
+                return cmd[len(value):]
+
+        return None

oai/tui/widgets/footer.py

@@ -0,0 +1,39 @@
+"""Footer widget for oAI TUI."""
+
+from textual.app import ComposeResult
+from textual.widgets import Static
+
+
+class Footer(Static):
+    """Footer displaying session metrics."""
+
+    def __init__(self):
+        super().__init__()
+        self.tokens_in = 0
+        self.tokens_out = 0
+        self.cost = 0.0
+        self.messages = 0
+
+    def compose(self) -> ComposeResult:
+        """Compose the footer."""
+        yield Static(self._format_footer(), id="footer-content")
+
+    def _format_footer(self) -> str:
+        """Format the footer text."""
+        return (
+            f"[dim]Messages: {self.messages} | "
+            f"Tokens: {self.tokens_in + self.tokens_out:,} "
+            f"({self.tokens_in:,} in, {self.tokens_out:,} out) | "
+            f"Cost: ${self.cost:.4f}[/]"
+        )
+
+    def update_stats(
+        self, tokens_in: int, tokens_out: int, cost: float, messages: int
+    ) -> None:
+        """Update the displayed statistics."""
+        self.tokens_in = tokens_in
+        self.tokens_out = tokens_out
+        self.cost = cost
+        self.messages = messages
+        content = self.query_one("#footer-content", Static)
+        content.update(self._format_footer())

oai/tui/widgets/header.py

@@ -0,0 +1,65 @@
+"""Header widget for oAI TUI."""
+
+from textual.app import ComposeResult
+from textual.widgets import Static
+from typing import Optional, Dict, Any
+
+
+class Header(Static):
+    """Header displaying app title, version, current model, and capabilities."""
+
+    def __init__(self, version: str = "3.0.1", model: str = "", model_info: Optional[Dict[str, Any]] = None):
+        super().__init__()
+        self.version = version
+        self.model = model
+        self.model_info = model_info or {}
+
+    def compose(self) -> ComposeResult:
+        """Compose the header."""
+        yield Static(self._format_header(), id="header-content")
+
+    def _format_capabilities(self) -> str:
+        """Format capability icons based on model info."""
+        if not self.model_info:
+            return ""
+
+        icons = []
+
+        # Check vision support
+        architecture = self.model_info.get("architecture", {})
+        modality = architecture.get("modality", "")
+        if "image" in modality:
+            icons.append("[bold cyan]👁️[/]")  # Bright if supported
+        else:
+            icons.append("[dim]👁️[/]")  # Dim if not supported
+
+        # Check tool support
+        supported_params = self.model_info.get("supported_parameters", [])
+        if "tools" in supported_params or "tool_choice" in supported_params:
+            icons.append("[bold cyan]🔧[/]")
+        else:
+            icons.append("[dim]🔧[/]")
+
+        # Check online support (most models support :online suffix)
+        model_id = self.model_info.get("id", "")
+        if ":online" in model_id or model_id not in ["openrouter/free"]:
+            icons.append("[bold cyan]🌐[/]")
+        else:
+            icons.append("[dim]🌐[/]")
+
+        return " ".join(icons) if icons else ""
+
+    def _format_header(self) -> str:
+        """Format the header text."""
+        model_text = f" | {self.model}" if self.model else ""
+        capabilities = self._format_capabilities()
+        capabilities_text = f" {capabilities}" if capabilities else ""
+        return f"[bold cyan]oAI[/] [dim]v{self.version}[/]{model_text}{capabilities_text}"
+
+    def update_model(self, model: str, model_info: Optional[Dict[str, Any]] = None) -> None:
+        """Update the displayed model and capabilities."""
+        self.model = model
+        if model_info:
+            self.model_info = model_info
+        content = self.query_one("#header-content", Static)
+        content.update(self._format_header())

oai/tui/widgets/input_bar.py

@@ -0,0 +1,49 @@
+"""Input bar widget for oAI TUI."""
+
+from textual.app import ComposeResult
+from textual.containers import Horizontal
+from textual.widgets import Input, Static
+
+
+class InputBar(Horizontal):
+    """Input bar with prompt prefix and text input."""
+
+    def __init__(self):
+        super().__init__(id="input-bar")
+        self.mcp_status = ""
+        self.online_mode = False
+
+    def compose(self) -> ComposeResult:
+        """Compose the input bar."""
+        yield Static(self._format_prefix(), id="input-prefix", classes="prefix-hidden" if not (self.mcp_status or self.online_mode) else "")
+        yield Input(
+            placeholder="Type a message or /command...",
+            id="chat-input"
+        )
+
+    def _format_prefix(self) -> str:
+        """Format the input prefix with status indicators."""
+        indicators = []
+        if self.mcp_status:
+            indicators.append(f"[cyan]{self.mcp_status}[/]")
+        if self.online_mode:
+            indicators.append("[green]🌐[/]")
+
+        prefix = " ".join(indicators) + " " if indicators else ""
+        return f"{prefix}[bold]>[/]"
+
+    def update_mcp_status(self, status: str) -> None:
+        """Update MCP status indicator."""
+        self.mcp_status = status
+        prefix = self.query_one("#input-prefix", Static)
+        prefix.update(self._format_prefix())
+
+    def update_online_mode(self, online: bool) -> None:
+        """Update online mode indicator."""
+        self.online_mode = online
+        prefix = self.query_one("#input-prefix", Static)
+        prefix.update(self._format_prefix())
+
+    def get_input(self) -> Input:
+        """Get the input widget."""
+        return self.query_one("#chat-input", Input)

oai/tui/widgets/message.py

@@ -0,0 +1,92 @@
+"""Message widgets for oAI TUI."""
+
+from typing import Any, AsyncIterator, Tuple
+
+from rich.console import Console
+from rich.markdown import Markdown
+from rich.style import Style
+from rich.theme import Theme
+from textual.app import ComposeResult
+from textual.widgets import RichLog, Static
+
+# Custom theme for Markdown rendering - neutral colors matching the dark theme
+MARKDOWN_THEME = Theme({
+    "markdown.text": Style(color="#cccccc"),
+    "markdown.paragraph": Style(color="#cccccc"),
+    "markdown.code": Style(color="#e0e0e0", bgcolor="#2a2a2a"),
+    "markdown.code_block": Style(color="#e0e0e0", bgcolor="#2a2a2a"),
+    "markdown.heading": Style(color="#ffffff", bold=True),
+    "markdown.h1": Style(color="#ffffff", bold=True),
+    "markdown.h2": Style(color="#eeeeee", bold=True),
+    "markdown.h3": Style(color="#dddddd", bold=True),
+    "markdown.link": Style(color="#aaaaaa", underline=False),
+    "markdown.link_url": Style(color="#888888"),
+    "markdown.emphasis": Style(color="#cccccc", italic=True),
+    "markdown.strong": Style(color="#ffffff", bold=True),
+})
+
+
+class UserMessageWidget(Static):
+    """Widget for displaying user messages."""
+
+    def __init__(self, content: str):
+        super().__init__()
+        self.content = content
+
+    def compose(self) -> ComposeResult:
+        """Compose the user message."""
+        yield Static(f"[bold green]You:[/] {self.content}")
+
+
+class SystemMessageWidget(Static):
+    """Widget for displaying system/info messages without 'You:' prefix."""
+
+    def __init__(self, content: str):
+        super().__init__()
+        self.content = content
+
+    def compose(self) -> ComposeResult:
+        """Compose the system message."""
+        yield Static(self.content)
+
+
+class AssistantMessageWidget(Static):
+    """Widget for displaying assistant responses with streaming support."""
+
+    def __init__(self, model_name: str = "Assistant"):
+        super().__init__()
+        self.model_name = model_name
+        self.full_text = ""
+
+    def compose(self) -> ComposeResult:
+        """Compose the assistant message."""
+        yield Static(f"[bold]{self.model_name}:[/]", id="assistant-label")
+        yield RichLog(id="assistant-content", highlight=True, markup=True, wrap=True)
+
+    async def stream_response(self, response_iterator: AsyncIterator) -> Tuple[str, Any]:
+        """Stream tokens progressively and return final text and usage."""
+        log = self.query_one("#assistant-content", RichLog)
+        self.full_text = ""
+        usage = None
+
+        async for chunk in response_iterator:
+            if hasattr(chunk, "delta_content") and chunk.delta_content:
+                self.full_text += chunk.delta_content
+                log.clear()
+                # Use neutral code theme for syntax highlighting
+                md = Markdown(self.full_text, code_theme="github-dark", inline_code_theme="github-dark")
+                log.write(md)
+
+            if hasattr(chunk, "usage") and chunk.usage:
+                usage = chunk.usage
+
+        return self.full_text, usage
+
+    def set_content(self, content: str) -> None:
+        """Set the complete content (non-streaming)."""
+        self.full_text = content
+        log = self.query_one("#assistant-content", RichLog)
+        log.clear()
+        # Use neutral code theme for syntax highlighting
+        md = Markdown(content, code_theme="github-dark", inline_code_theme="github-dark")
+        log.write(md)

oai/utils/__init__.py

@@ -0,0 +1,20 @@
+"""
+Utility modules for oAI.
+
+This package provides common utilities used throughout the application
+including logging, file handling, and export functionality.
+"""
+
+from oai.utils.logging import setup_logging, get_logger
+from oai.utils.files import read_file_safe, is_binary_file
+from oai.utils.export import export_as_markdown, export_as_json, export_as_html
+
+__all__ = [
+    "setup_logging",
+    "get_logger",
+    "read_file_safe",
+    "is_binary_file",
+    "export_as_markdown",
+    "export_as_json",
+    "export_as_html",
+]

oai/utils/export.py

@@ -0,0 +1,248 @@
+"""
+Export utilities for oAI.
+
+This module provides functions for exporting conversation history
+in various formats including Markdown, JSON, and HTML.
+"""
+
+import json
+import datetime
+from typing import List, Dict
+from html import escape as html_escape
+
+from oai.constants import APP_VERSION, APP_URL
+
+
+def export_as_markdown(
+    session_history: List[Dict[str, str]],
+    session_system_prompt: str = ""
+) -> str:
+    """
+    Export conversation history as Markdown.
+
+    Args:
+        session_history: List of message dictionaries with 'prompt' and 'response'
+        session_system_prompt: Optional system prompt to include
+
+    Returns:
+        Markdown formatted string
+    """
+    lines = ["# Conversation Export", ""]
+
+    if session_system_prompt:
+        lines.extend([f"**System Prompt:** {session_system_prompt}", ""])
+
+    lines.append(f"**Export Date:** {datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
+    lines.append(f"**Messages:** {len(session_history)}")
+    lines.append("")
+    lines.append("---")
+    lines.append("")
+
+    for i, entry in enumerate(session_history, 1):
+        lines.append(f"## Message {i}")
+        lines.append("")
+        lines.append("**User:**")
+        lines.append("")
+        lines.append(entry.get("prompt", ""))
+        lines.append("")
+        lines.append("**Assistant:**")
+        lines.append("")
+        lines.append(entry.get("response", ""))
+        lines.append("")
+        lines.append("---")
+        lines.append("")
+
+    lines.append(f"*Exported from oAI v{APP_VERSION} - {APP_URL}*")
+
+    return "\n".join(lines)
+
+
+def export_as_json(
+    session_history: List[Dict[str, str]],
+    session_system_prompt: str = ""
+) -> str:
+    """
+    Export conversation history as JSON.
+
+    Args:
+        session_history: List of message dictionaries
+        session_system_prompt: Optional system prompt to include
+
+    Returns:
+        JSON formatted string
+    """
+    export_data = {
+        "export_date": datetime.datetime.now().isoformat(),
+        "app_version": APP_VERSION,
+        "system_prompt": session_system_prompt,
+        "message_count": len(session_history),
+        "messages": [
+            {
+                "index": i + 1,
+                "prompt": entry.get("prompt", ""),
+                "response": entry.get("response", ""),
+                "prompt_tokens": entry.get("prompt_tokens", 0),
+                "completion_tokens": entry.get("completion_tokens", 0),
+                "cost": entry.get("msg_cost", 0.0),
+            }
+            for i, entry in enumerate(session_history)
+        ],
+        "totals": {
+            "prompt_tokens": sum(e.get("prompt_tokens", 0) for e in session_history),
+            "completion_tokens": sum(e.get("completion_tokens", 0) for e in session_history),
+            "total_cost": sum(e.get("msg_cost", 0.0) for e in session_history),
+        }
+    }
+    return json.dumps(export_data, indent=2, ensure_ascii=False)
+
+
+def export_as_html(
+    session_history: List[Dict[str, str]],
+    session_system_prompt: str = ""
+) -> str:
+    """
+    Export conversation history as styled HTML.
+
+    Args:
+        session_history: List of message dictionaries
+        session_system_prompt: Optional system prompt to include
+
+    Returns:
+        HTML formatted string with embedded CSS
+    """
+    html_parts = [
+        "<!DOCTYPE html>",
+        "<html>",
+        "<head>",
+        "  <meta charset='UTF-8'>",
+        "  <meta name='viewport' content='width=device-width, initial-scale=1.0'>",
+        "  <title>Conversation Export - oAI</title>",
+        "  <style>",
+        "    * { box-sizing: border-box; }",
+        "    body {",
+        "      font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;",
+        "      max-width: 900px;",
+        "      margin: 40px auto;",
+        "      padding: 20px;",
+        "      background: #f5f5f5;",
+        "      color: #333;",
+        "    }",
+        "    .header {",
+        "      background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);",
+        "      color: white;",
+        "      padding: 30px;",
+        "      border-radius: 10px;",
+        "      margin-bottom: 30px;",
+        "      box-shadow: 0 4px 6px rgba(0,0,0,0.1);",
+        "    }",
+        "    .header h1 {",
+        "      margin: 0 0 10px 0;",
+        "      font-size: 2em;",
+        "    }",
+        "    .export-info {",
+        "      opacity: 0.9;",
+        "      font-size: 0.95em;",
+        "      margin: 5px 0;",
+        "    }",
+        "    .system-prompt {",
+        "      background: #fff3cd;",
+        "      padding: 20px;",
+        "      border-radius: 8px;",
+        "      margin-bottom: 25px;",
+        "      border-left: 5px solid #ffc107;",
+        "      box-shadow: 0 2px 4px rgba(0,0,0,0.05);",
+        "    }",
+        "    .system-prompt strong {",
+        "      color: #856404;",
+        "      display: block;",
+        "      margin-bottom: 10px;",
+        "      font-size: 1.1em;",
+        "    }",
+        "    .message-container { margin-bottom: 20px; }",
+        "    .message {",
+        "      background: white;",
+        "      padding: 20px;",
+        "      border-radius: 8px;",
+        "      box-shadow: 0 2px 4px rgba(0,0,0,0.08);",
+        "      margin-bottom: 12px;",
+        "    }",
+        "    .user-message { border-left: 5px solid #10b981; }",
+        "    .assistant-message { border-left: 5px solid #3b82f6; }",
+        "    .role {",
+        "      font-weight: bold;",
+        "      margin-bottom: 12px;",
+        "      font-size: 1.05em;",
+        "      text-transform: uppercase;",
+        "      letter-spacing: 0.5px;",
+        "    }",
+        "    .user-role { color: #10b981; }",
+        "    .assistant-role { color: #3b82f6; }",
+        "    .content {",
+        "      line-height: 1.8;",
+        "      white-space: pre-wrap;",
+        "      color: #333;",
+        "    }",
+        "    .message-number {",
+        "      color: #6b7280;",
+        "      font-size: 0.85em;",
+        "      margin-bottom: 15px;",
+        "      font-weight: 600;",
+        "    }",
+        "    .footer {",
+        "      text-align: center;",
+        "      margin-top: 40px;",
+        "      padding: 20px;",
+        "      color: #6b7280;",
+        "      font-size: 0.9em;",
+        "    }",
+        "    .footer a { color: #667eea; text-decoration: none; }",
+        "    .footer a:hover { text-decoration: underline; }",
+        "    @media print {",
+        "      body { background: white; }",
+        "      .message { break-inside: avoid; }",
+        "    }",
+        "  </style>",
+        "</head>",
+        "<body>",
+        "  <div class='header'>",
+        "    <h1>Conversation Export</h1>",
+        f"    <div class='export-info'>Exported: {datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}</div>",
+        f"    <div class='export-info'>Total Messages: {len(session_history)}</div>",
+        "  </div>",
+    ]
+
+    if session_system_prompt:
+        html_parts.extend([
+            "  <div class='system-prompt'>",
+            "    <strong>System Prompt</strong>",
+            f"    <div>{html_escape(session_system_prompt)}</div>",
+            "  </div>",
+        ])
+
+    for i, entry in enumerate(session_history, 1):
+        prompt = html_escape(entry.get("prompt", ""))
+        response = html_escape(entry.get("response", ""))
+
+        html_parts.extend([
+            "  <div class='message-container'>",
+            f"    <div class='message-number'>Message {i} of {len(session_history)}</div>",
+            "    <div class='message user-message'>",
+            "      <div class='role user-role'>User</div>",
+            f"      <div class='content'>{prompt}</div>",
+            "    </div>",
+            "    <div class='message assistant-message'>",
+            "      <div class='role assistant-role'>Assistant</div>",
+            f"      <div class='content'>{response}</div>",
+            "    </div>",
+            "  </div>",
+        ])
+
+    html_parts.extend([
+        "  <div class='footer'>",
+        f"    <p>Generated by oAI v{APP_VERSION} &bull; <a href='{APP_URL}'>{APP_URL}</a></p>",
+        "  </div>",
+        "</body>",
+        "</html>",
+    ])
+
+    return "\n".join(html_parts)

oai/utils/files.py

@@ -0,0 +1,323 @@
+"""
+File handling utilities for oAI.
+
+This module provides safe file reading, type detection, and other
+file-related operations used throughout the application.
+"""
+
+import os
+import mimetypes
+import base64
+from pathlib import Path
+from typing import Optional, Dict, Any, Tuple
+
+from oai.constants import (
+    MAX_FILE_SIZE,
+    CONTENT_TRUNCATION_THRESHOLD,
+    SUPPORTED_CODE_EXTENSIONS,
+    ALLOWED_FILE_EXTENSIONS,
+)
+from oai.utils.logging import get_logger
+
+
+def is_binary_file(file_path: Path) -> bool:
+    """
+    Check if a file appears to be binary.
+
+    Args:
+        file_path: Path to the file to check
+
+    Returns:
+        True if the file appears to be binary, False otherwise
+    """
+    try:
+        with open(file_path, "rb") as f:
+            # Read first 8KB to check for binary content
+            chunk = f.read(8192)
+            # Check for null bytes (common in binary files)
+            if b"\x00" in chunk:
+                return True
+            # Try to decode as UTF-8
+            try:
+                chunk.decode("utf-8")
+                return False
+            except UnicodeDecodeError:
+                return True
+    except Exception:
+        return True
+
+
+def get_file_type(file_path: Path) -> Tuple[Optional[str], str]:
+    """
+    Determine the MIME type and category of a file.
+
+    Args:
+        file_path: Path to the file
+
+    Returns:
+        Tuple of (mime_type, category) where category is one of:
+        'image', 'pdf', 'code', 'text', 'binary', 'unknown'
+    """
+    mime_type, _ = mimetypes.guess_type(str(file_path))
+    ext = file_path.suffix.lower()
+
+    if mime_type and mime_type.startswith("image/"):
+        return mime_type, "image"
+    elif mime_type == "application/pdf" or ext == ".pdf":
+        return mime_type or "application/pdf", "pdf"
+    elif ext in SUPPORTED_CODE_EXTENSIONS:
+        return mime_type or "text/plain", "code"
+    elif mime_type and mime_type.startswith("text/"):
+        return mime_type, "text"
+    elif is_binary_file(file_path):
+        return mime_type, "binary"
+    else:
+        return mime_type, "unknown"
+
+
+def read_file_safe(
+    file_path: Path,
+    max_size: int = MAX_FILE_SIZE,
+    truncate_threshold: int = CONTENT_TRUNCATION_THRESHOLD
+) -> Dict[str, Any]:
+    """
+    Safely read a file with size limits and truncation support.
+
+    Args:
+        file_path: Path to the file to read
+        max_size: Maximum file size to read (bytes)
+        truncate_threshold: Threshold for truncating large files
+
+    Returns:
+        Dictionary containing:
+        - content: File content (text or base64)
+        - size: File size in bytes
+        - truncated: Whether content was truncated
+        - encoding: 'text', 'base64', or None on error
+        - error: Error message if reading failed
+    """
+    logger = get_logger()
+
+    try:
+        path = Path(file_path).resolve()
+
+        if not path.exists():
+            return {
+                "content": None,
+                "size": 0,
+                "truncated": False,
+                "encoding": None,
+                "error": f"File not found: {path}"
+            }
+
+        if not path.is_file():
+            return {
+                "content": None,
+                "size": 0,
+                "truncated": False,
+                "encoding": None,
+                "error": f"Not a file: {path}"
+            }
+
+        file_size = path.stat().st_size
+
+        if file_size > max_size:
+            return {
+                "content": None,
+                "size": file_size,
+                "truncated": False,
+                "encoding": None,
+                "error": f"File too large: {file_size / (1024*1024):.1f}MB (max: {max_size / (1024*1024):.0f}MB)"
+            }
+
+        # Try to read as text first
+        try:
+            content = path.read_text(encoding="utf-8")
+
+            # Check if truncation is needed
+            if file_size > truncate_threshold:
+                lines = content.split("\n")
+                total_lines = len(lines)
+
+                # Keep first 500 lines and last 100 lines
+                head_lines = 500
+                tail_lines = 100
+
+                if total_lines > (head_lines + tail_lines):
+                    truncated_content = (
+                        "\n".join(lines[:head_lines]) +
+                        f"\n\n... [TRUNCATED: {total_lines - head_lines - tail_lines} lines omitted] ...\n\n" +
+                        "\n".join(lines[-tail_lines:])
+                    )
+                    logger.info(f"Read file (truncated): {path} ({file_size} bytes, {total_lines} lines)")
+                    return {
+                        "content": truncated_content,
+                        "size": file_size,
+                        "truncated": True,
+                        "total_lines": total_lines,
+                        "lines_shown": head_lines + tail_lines,
+                        "encoding": "text",
+                        "error": None
+                    }
+
+            logger.info(f"Read file: {path} ({file_size} bytes)")
+            return {
+                "content": content,
+                "size": file_size,
+                "truncated": False,
+                "encoding": "text",
+                "error": None
+            }
+
+        except UnicodeDecodeError:
+            # File is binary, return base64 encoded
+            with open(path, "rb") as f:
+                binary_data = f.read()
+            b64_content = base64.b64encode(binary_data).decode("utf-8")
+            logger.info(f"Read binary file: {path} ({file_size} bytes)")
+            return {
+                "content": b64_content,
+                "size": file_size,
+                "truncated": False,
+                "encoding": "base64",
+                "error": None
+            }
+
+    except PermissionError as e:
+        return {
+            "content": None,
+            "size": 0,
+            "truncated": False,
+            "encoding": None,
+            "error": f"Permission denied: {e}"
+        }
+    except Exception as e:
+        logger.error(f"Error reading file {file_path}: {e}")
+        return {
+            "content": None,
+            "size": 0,
+            "truncated": False,
+            "encoding": None,
+            "error": str(e)
+        }
+
+
+def get_file_extension(file_path: Path) -> str:
+    """
+    Get the lowercase file extension.
+
+    Args:
+        file_path: Path to the file
+
+    Returns:
+        Lowercase extension including the dot (e.g., '.py')
+    """
+    return file_path.suffix.lower()
+
+
+def is_allowed_extension(file_path: Path) -> bool:
+    """
+    Check if a file has an allowed extension for attachment.
+
+    Args:
+        file_path: Path to the file
+
+    Returns:
+        True if the extension is allowed, False otherwise
+    """
+    return get_file_extension(file_path) in ALLOWED_FILE_EXTENSIONS
+
+
+def format_file_size(size_bytes: int) -> str:
+    """
+    Format a file size in human-readable format.
+
+    Args:
+        size_bytes: Size in bytes
+
+    Returns:
+        Formatted string (e.g., '1.5 MB', '512 KB')
+    """
+    for unit in ["B", "KB", "MB", "GB", "TB"]:
+        if abs(size_bytes) < 1024:
+            return f"{size_bytes:.1f} {unit}"
+        size_bytes /= 1024
+    return f"{size_bytes:.1f} PB"
+
+
+def prepare_file_attachment(
+    file_path: Path,
+    model_capabilities: Dict[str, Any]
+) -> Optional[Dict[str, Any]]:
+    """
+    Prepare a file for attachment to an API request.
+
+    Args:
+        file_path: Path to the file
+        model_capabilities: Model capability information
+
+    Returns:
+        Content block dictionary for the API, or None if unsupported
+    """
+    logger = get_logger()
+    path = Path(file_path).resolve()
+
+    if not path.exists():
+        logger.warning(f"File not found: {path}")
+        return None
+
+    mime_type, category = get_file_type(path)
+    file_size = path.stat().st_size
+
+    if file_size > MAX_FILE_SIZE:
+        logger.warning(f"File too large: {path} ({format_file_size(file_size)})")
+        return None
+
+    try:
+        with open(path, "rb") as f:
+            file_data = f.read()
+
+        if category == "image":
+            # Check if model supports images
+            input_modalities = model_capabilities.get("architecture", {}).get("input_modalities", [])
+            if "image" not in input_modalities:
+                logger.warning(f"Model does not support images")
+                return None
+
+            b64_data = base64.b64encode(file_data).decode("utf-8")
+            return {
+                "type": "image_url",
+                "image_url": {"url": f"data:{mime_type};base64,{b64_data}"}
+            }
+
+        elif category == "pdf":
+            # Check if model supports PDFs
+            input_modalities = model_capabilities.get("architecture", {}).get("input_modalities", [])
+            supports_pdf = any(mod in input_modalities for mod in ["document", "pdf", "file"])
+            if not supports_pdf:
+                logger.warning(f"Model does not support PDFs")
+                return None
+
+            b64_data = base64.b64encode(file_data).decode("utf-8")
+            return {
+                "type": "image_url",
+                "image_url": {"url": f"data:application/pdf;base64,{b64_data}"}
+            }
+
+        elif category in ("code", "text"):
+            text_content = file_data.decode("utf-8")
+            return {
+                "type": "text",
+                "text": f"File: {path.name}\n\n{text_content}"
+            }
+
+        else:
+            logger.warning(f"Unsupported file type: {category} ({mime_type})")
+            return None
+
+    except UnicodeDecodeError:
+        logger.error(f"Cannot decode file as UTF-8: {path}")
+        return None
+    except Exception as e:
+        logger.error(f"Error preparing file attachment {path}: {e}")
+        return None

oai/utils/logging.py

@@ -0,0 +1,297 @@
+"""
+Logging configuration for oAI.
+
+This module provides centralized logging setup with Rich formatting,
+file rotation, and configurable log levels.
+"""
+
+import io
+import os
+import glob
+import logging
+import datetime
+import shutil
+from logging.handlers import RotatingFileHandler
+from pathlib import Path
+from typing import Optional
+
+from rich.console import Console
+from rich.logging import RichHandler
+
+from oai.constants import (
+    LOG_FILE,
+    CONFIG_DIR,
+    DEFAULT_LOG_MAX_SIZE_MB,
+    DEFAULT_LOG_BACKUP_COUNT,
+    DEFAULT_LOG_LEVEL,
+    VALID_LOG_LEVELS,
+)
+
+
+class RotatingRichHandler(RotatingFileHandler):
+    """
+    Custom log handler combining file rotation with Rich formatting.
+
+    This handler writes Rich-formatted log output to a rotating file,
+    providing colored and formatted logs even in file output while
+    managing file size and backups automatically.
+    """
+
+    def __init__(self, *args, **kwargs):
+        """Initialize the handler with Rich console for formatting."""
+        super().__init__(*args, **kwargs)
+        # Create an internal console for Rich formatting
+        self.rich_console = Console(
+            file=io.StringIO(),
+            width=120,
+            force_terminal=False
+        )
+        self.rich_handler = RichHandler(
+            console=self.rich_console,
+            show_time=True,
+            show_path=True,
+            rich_tracebacks=True,
+            tracebacks_suppress=["requests", "openrouter", "urllib3", "httpx", "openai"]
+        )
+
+    def emit(self, record: logging.LogRecord) -> None:
+        """
+        Emit a log record with Rich formatting.
+
+        Args:
+            record: The log record to emit
+        """
+        try:
+            # Format with Rich
+            self.rich_handler.emit(record)
+            output = self.rich_console.file.getvalue()
+            self.rich_console.file.seek(0)
+            self.rich_console.file.truncate(0)
+
+            if output:
+                self.stream.write(output)
+                self.flush()
+        except Exception:
+            self.handleError(record)
+
+
+class LoggingManager:
+    """
+    Manages application logging configuration.
+
+    Provides methods to setup, configure, and manage logging with
+    support for runtime reconfiguration and level changes.
+    """
+
+    def __init__(self):
+        """Initialize the logging manager."""
+        self.handler: Optional[RotatingRichHandler] = None
+        self.app_logger: Optional[logging.Logger] = None
+        self.max_size_mb: int = DEFAULT_LOG_MAX_SIZE_MB
+        self.backup_count: int = DEFAULT_LOG_BACKUP_COUNT
+        self.log_level: str = DEFAULT_LOG_LEVEL
+
+    def setup(
+        self,
+        max_size_mb: Optional[int] = None,
+        backup_count: Optional[int] = None,
+        log_level: Optional[str] = None
+    ) -> logging.Logger:
+        """
+        Setup or reconfigure logging.
+
+        Args:
+            max_size_mb: Maximum log file size in MB
+            backup_count: Number of backup files to keep
+            log_level: Logging level string
+
+        Returns:
+            The configured application logger
+        """
+        # Update configuration if provided
+        if max_size_mb is not None:
+            self.max_size_mb = max_size_mb
+        if backup_count is not None:
+            self.backup_count = backup_count
+        if log_level is not None:
+            self.log_level = log_level
+
+        # Ensure config directory exists
+        CONFIG_DIR.mkdir(parents=True, exist_ok=True)
+
+        # Get root logger
+        root_logger = logging.getLogger()
+
+        # Remove existing handler if present
+        if self.handler is not None:
+            root_logger.removeHandler(self.handler)
+            try:
+                self.handler.close()
+            except Exception:
+                pass
+
+        # Check if log needs manual rotation
+        self._check_rotation()
+
+        # Create new handler
+        max_bytes = self.max_size_mb * 1024 * 1024
+        self.handler = RotatingRichHandler(
+            filename=str(LOG_FILE),
+            maxBytes=max_bytes,
+            backupCount=self.backup_count,
+            encoding="utf-8"
+        )
+
+        self.handler.setLevel(logging.NOTSET)
+        root_logger.setLevel(logging.WARNING)
+        root_logger.addHandler(self.handler)
+
+        # Suppress noisy third-party loggers
+        for logger_name in [
+            "asyncio", "urllib3", "requests", "httpx",
+            "httpcore", "openai", "openrouter"
+        ]:
+            logging.getLogger(logger_name).setLevel(logging.WARNING)
+
+        # Configure application logger
+        self.app_logger = logging.getLogger("oai_app")
+        level = VALID_LOG_LEVELS.get(self.log_level.lower(), logging.INFO)
+        self.app_logger.setLevel(level)
+        self.app_logger.propagate = True
+
+        return self.app_logger
+
+    def _check_rotation(self) -> None:
+        """Check if log file needs rotation and perform if necessary."""
+        if not LOG_FILE.exists():
+            return
+
+        current_size = LOG_FILE.stat().st_size
+        max_bytes = self.max_size_mb * 1024 * 1024
+
+        if current_size >= max_bytes:
+            # Perform manual rotation
+            timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
+            backup_file = f"{LOG_FILE}.{timestamp}"
+
+            try:
+                shutil.move(str(LOG_FILE), backup_file)
+            except Exception:
+                pass
+
+            # Clean old backups
+            self._cleanup_old_backups()
+
+    def _cleanup_old_backups(self) -> None:
+        """Remove old backup files exceeding the backup count."""
+        log_dir = LOG_FILE.parent
+        backup_pattern = f"{LOG_FILE.name}.*"
+        backups = sorted(glob.glob(str(log_dir / backup_pattern)))
+
+        while len(backups) > self.backup_count:
+            oldest = backups.pop(0)
+            try:
+                os.remove(oldest)
+            except Exception:
+                pass
+
+    def set_level(self, level: str) -> bool:
+        """
+        Set the application log level.
+
+        Args:
+            level: Log level string (debug/info/warning/error/critical)
+
+        Returns:
+            True if level was set successfully, False otherwise
+        """
+        level_lower = level.lower()
+        if level_lower not in VALID_LOG_LEVELS:
+            return False
+
+        self.log_level = level_lower
+        if self.app_logger:
+            self.app_logger.setLevel(VALID_LOG_LEVELS[level_lower])
+
+        return True
+
+    def get_logger(self) -> logging.Logger:
+        """
+        Get the application logger, initializing if necessary.
+
+        Returns:
+            The application logger
+        """
+        if self.app_logger is None:
+            self.setup()
+        return self.app_logger
+
+
+# Global logging manager instance
+_logging_manager = LoggingManager()
+
+
+def setup_logging(
+    max_size_mb: Optional[int] = None,
+    backup_count: Optional[int] = None,
+    log_level: Optional[str] = None
+) -> logging.Logger:
+    """
+    Setup application logging.
+
+    This is the main entry point for configuring logging. Call this
+    early in application startup.
+
+    Args:
+        max_size_mb: Maximum log file size in MB
+        backup_count: Number of backup files to keep
+        log_level: Logging level string
+
+    Returns:
+        The configured application logger
+    """
+    return _logging_manager.setup(max_size_mb, backup_count, log_level)
+
+
+def get_logger() -> logging.Logger:
+    """
+    Get the application logger.
+
+    Returns:
+        The application logger instance
+    """
+    return _logging_manager.get_logger()
+
+
+def set_log_level(level: str) -> bool:
+    """
+    Set the application log level.
+
+    Args:
+        level: Log level string
+
+    Returns:
+        True if successful, False otherwise
+    """
+    return _logging_manager.set_level(level)
+
+
+def reload_logging(
+    max_size_mb: Optional[int] = None,
+    backup_count: Optional[int] = None,
+    log_level: Optional[str] = None
+) -> logging.Logger:
+    """
+    Reload logging configuration.
+
+    Useful when settings change at runtime.
+
+    Args:
+        max_size_mb: New maximum log file size
+        backup_count: New backup count
+        log_level: New log level
+
+    Returns:
+        The reconfigured logger
+    """
+    return _logging_manager.setup(max_size_mb, backup_count, log_level)

pyproject.toml

@@ -0,0 +1,134 @@
+[build-system]
+requires = ["setuptools>=61.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "oai"
+version = "3.0.0-b2"  # MUST match oai/__init__.py __version__
+description = "OpenRouter AI Chat Client - A feature-rich terminal-based chat application"
+readme = "README.md"
+license = {text = "MIT"}
+authors = [
+    {name = "Rune", email = "rune@example.com"}
+]
+maintainers = [
+    {name = "Rune", email = "rune@example.com"}
+]
+keywords = [
+    "ai",
+    "chat",
+    "openrouter",
+    "cli",
+    "terminal",
+    "mcp",
+    "llm",
+]
+classifiers = [
+    "Development Status :: 4 - Beta",
+    "Environment :: Console",
+    "Intended Audience :: Developers",
+    "License :: OSI Approved :: MIT License",
+    "Operating System :: OS Independent",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Topic :: Scientific/Engineering :: Artificial Intelligence",
+    "Topic :: Utilities",
+]
+requires-python = ">=3.10"
+dependencies = [
+    "anyio>=4.0.0",
+    "click>=8.0.0",
+    "httpx>=0.24.0",
+    "markdown-it-py>=3.0.0",
+    "openrouter>=0.0.19",
+    "packaging>=21.0",
+    "pyperclip>=1.8.0",
+    "requests>=2.28.0",
+    "rich>=13.0.0",
+    "textual>=0.50.0",
+    "typer>=0.9.0",
+    "mcp>=1.0.0",
+]
+
+[project.optional-dependencies]
+dev = [
+    "pytest>=7.0.0",
+    "pytest-asyncio>=0.21.0",
+    "pytest-cov>=4.0.0",
+    "black>=23.0.0",
+    "isort>=5.12.0",
+    "mypy>=1.0.0",
+    "ruff>=0.1.0",
+]
+
+[project.urls]
+Homepage = "https://iurl.no/oai"
+Repository = "https://gitlab.pm/rune/oai"
+Documentation = "https://iurl.no/oai"
+"Bug Tracker" = "https://gitlab.pm/rune/oai/issues"
+
+[project.scripts]
+oai = "oai.cli:main"
+
+[tool.setuptools]
+packages = ["oai", "oai.commands", "oai.config", "oai.core", "oai.mcp", "oai.providers", "oai.tui", "oai.tui.widgets", "oai.tui.screens", "oai.utils"]
+
+[tool.setuptools.package-data]
+oai = ["py.typed"]
+
+[tool.black]
+line-length = 100
+target-version = ["py310", "py311", "py312"]
+include = '\.pyi?$'
+exclude = '''
+/(
+    \.git
+    | \.mypy_cache
+    | \.pytest_cache
+    | \.venv
+    | build
+    | dist
+)/
+'''
+
+[tool.isort]
+profile = "black"
+line_length = 100
+skip_gitignore = true
+
+[tool.mypy]
+python_version = "3.10"
+warn_return_any = true
+warn_unused_configs = true
+ignore_missing_imports = true
+exclude = [
+    "build",
+    "dist",
+    ".venv",
+]
+
+[tool.ruff]
+line-length = 100
+target-version = "py310"
+select = [
+    "E",      # pycodestyle errors
+    "W",      # pycodestyle warnings
+    "F",      # Pyflakes
+    "I",      # isort
+    "B",      # flake8-bugbear
+    "C4",     # flake8-comprehensions
+    "UP",     # pyupgrade
+]
+ignore = [
+    "E501",   # line too long (handled by black)
+    "B008",   # do not perform function calls in argument defaults
+    "C901",   # too complex
+]
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
+python_files = ["test_*.py"]
+asyncio_mode = "auto"
+addopts = "-v --tb=short"

requirements.txt

@@ -1,37 +1,26 @@
-anyio==4.11.0
+# oai.py v2.1.0-beta - Core Dependencies
-beautifulsoup4==4.14.2
+anyio>=4.11.0
-charset-normalizer==3.4.4
+charset-normalizer>=3.4.4
-click==8.3.1
+click>=8.3.1
-docopt==0.6.2
+h11>=0.16.0
-h11==0.16.0
+httpcore>=1.0.9
-httpcore==1.0.9
+httpx>=0.28.1
-httpx==0.28.1
+idna>=3.11
-idna==3.11
+markdown-it-py>=4.0.0
-latex2mathml==3.78.1
+mdurl>=0.1.2
-loguru==0.7.3
+openrouter>=0.0.19
-markdown-it-py==4.0.0
+packaging>=25.0
-markdown2==2.5.4
+prompt-toolkit>=3.0.52
-mdurl==0.1.2
+Pygments>=2.19.2
-natsort==8.4.0
+pyperclip>=1.11.0
-openrouter==0.0.19
+requests>=2.32.5
-pipreqs==0.4.13
+rich>=14.2.0
-prompt_toolkit==3.0.52
+shellingham>=1.5.4
-Pygments==2.19.2
+sniffio>=1.3.1
-pyperclip==1.11.0
+typer>=0.20.0
-python-dateutil==2.9.0.post0
+typing-extensions>=4.15.0
-python-magic==0.4.27
+urllib3>=2.5.0
-PyYAML==6.0.3
+wcwidth>=0.2.14
-requests==2.32.5
+
-rich==14.2.0
+# MCP (Model Context Protocol)
-shellingham==1.5.4
+mcp>=1.25.0
-six==1.17.0
-sniffio==1.3.1
-soupsieve==2.8
-svgwrite==1.4.3
-tqdm==4.67.1
-typer==0.20.0
-typing_extensions==4.15.0
-urllib3==2.5.0
-wavedrom==2.0.3.post3
-wcwidth==0.2.14
-yarg==0.1.10