Initial release of Claude Vision Auto v1.0.0
Vision-based auto-approval system for Claude Code CLI using MiniCPM-V vision model. Features: - Automatic detection and response to approval prompts - Screenshot capture and vision analysis via Ollama - Support for multiple screenshot tools (scrot, gnome-screenshot, etc.) - Configurable timing and behavior - Debug mode for troubleshooting - Comprehensive documentation Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com> Co-Authored-By: Jean-Philippe Brule <jp@svrnty.io>
This commit is contained in:
Svrnty
commit
41cecca0e2
46
.gitignore
vendored
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.gitignore
vendored
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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build/
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||||
develop-eggs/
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||||
dist/
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||||
downloads/
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||||
eggs/
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||||
.eggs/
|
||||
lib/
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||||
lib64/
|
||||
parts/
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||||
sdist/
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var/
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wheels/
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||||
*.egg-info/
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.installed.cfg
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||||
*.egg
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||||
|
||||
# Virtual environments
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venv/
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ENV/
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env/
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||||
|
||||
# IDE
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||||
.vscode/
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||||
.idea/
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||||
*.swp
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||||
*.swo
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||||
*~
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||||
|
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# Testing
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.pytest_cache/
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.coverage
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htmlcov/
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||||
|
||||
# Cache
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||||
.cache/
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||||
*.log
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||||
|
||||
# Screenshots
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screenshots/
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*.png
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||||
45
CHANGELOG.md
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CHANGELOG.md
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# Changelog
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All notable changes to Claude Vision Auto will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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||||
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [1.0.0] - 2025-10-29
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### Added
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- Initial release of Claude Vision Auto
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- Vision-based auto-approval using MiniCPM-V
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- Support for multiple screenshot tools (scrot, gnome-screenshot, ImageMagick, maim)
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- Configurable timing and behavior via environment variables
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- Debug mode for troubleshooting
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- Comprehensive documentation (README, INSTALLATION, USAGE)
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- MIT License
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- Example usage scripts
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- Basic test suite
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|
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### Features
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- Automatic detection of approval prompts
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- Screenshot capture of terminal window
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- Vision analysis via Ollama API
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- Intelligent response submission (1, y, WAIT)
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- Configurable idle threshold and response delay
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- Support for multiple vision models (MiniCPM-V, Llama 3.2 Vision, LLaVA)
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- Automatic screenshot cleanup
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- Connection testing and validation
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|
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### Supported Platforms
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- Linux (Debian/Ubuntu tested)
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- X11 display server
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- Python 3.8+
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## [Unreleased]
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|
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### Planned
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||||
- Wayland support
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- macOS support
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- Headless mode (API-only)
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- Configurable response patterns
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- Multi-terminal support
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- Session recording and replay
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- Windows support (WSL)
|
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21
LICENSE
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LICENSE
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MIT License
|
||||
|
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Copyright (c) 2025 Svrnty (Jean-Philippe Brule)
|
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|
||||
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.
|
||||
37
Makefile
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37
Makefile
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|
||||
.PHONY: install install-dev uninstall test clean help
|
||||
|
||||
help:
|
||||
@echo "Claude Vision Auto - Makefile"
|
||||
@echo ""
|
||||
@echo "Available targets:"
|
||||
@echo " install - Install the package"
|
||||
@echo " install-dev - Install in development mode"
|
||||
@echo " uninstall - Uninstall the package"
|
||||
@echo " test - Run tests"
|
||||
@echo " clean - Clean build artifacts"
|
||||
@echo " deps - Install system dependencies (Debian/Ubuntu)"
|
||||
@echo ""
|
||||
|
||||
install:
|
||||
pip3 install -e .
|
||||
|
||||
install-dev:
|
||||
pip3 install -e ".[dev]"
|
||||
|
||||
uninstall:
|
||||
pip3 uninstall -y claude-vision-auto
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||||
|
||||
deps:
|
||||
@echo "Installing system dependencies..."
|
||||
sudo apt-get update
|
||||
sudo apt-get install -y scrot python3-pip
|
||||
|
||||
test:
|
||||
python3 -m pytest tests/
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||||
|
||||
clean:
|
||||
rm -rf build/
|
||||
rm -rf dist/
|
||||
rm -rf *.egg-info
|
||||
find . -type d -name __pycache__ -exec rm -rf {} +
|
||||
find . -type f -name "*.pyc" -delete
|
||||
294
README.md
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README.md
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# Claude Vision Auto
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Vision-based auto-approval system for Claude Code CLI using MiniCPM-V vision model.
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|
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## Overview
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Claude Vision Auto automatically detects and responds to approval prompts in Claude Code by:
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1. Monitoring terminal output for approval keywords
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2. Taking screenshots when idle (waiting for input)
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3. Analyzing screenshots with MiniCPM-V vision model via Ollama
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4. Automatically submitting appropriate responses
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|
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## Features
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|
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- **Zero Pattern Matching**: Uses vision AI instead of fragile regex patterns
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- **Universal Compatibility**: Works with any Claude Code prompt format
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- **Intelligent Detection**: Only activates when approval keywords are present
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- **Configurable**: Environment variables for all settings
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||||
- **Lightweight**: Minimal dependencies (only `requests`)
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- **Debug Mode**: Verbose logging for troubleshooting
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|
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## Prerequisites
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|
||||
### Required
|
||||
|
||||
1. **Claude Code CLI** - Anthropic's official CLI tool
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```bash
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npm install -g @anthropic-ai/claude-code
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```
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||||
2. **Ollama with MiniCPM-V** - Vision model server
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```bash
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docker pull ollama/ollama
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docker run -d -p 11434:11434 --name ollama ollama/ollama
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docker exec ollama ollama pull minicpm-v:latest
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```
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||||
3. **Screenshot Tool** (one of):
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- `scrot` (recommended)
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- `gnome-screenshot`
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- `imagemagick` (import command)
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||||
- `maim`
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|
||||
### Install Screenshot Tool
|
||||
|
||||
```bash
|
||||
# Debian/Ubuntu (recommended)
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||||
sudo apt-get install scrot
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||||
|
||||
# Alternative options
|
||||
sudo apt-get install gnome-screenshot
|
||||
sudo apt-get install imagemagick
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||||
sudo apt-get install maim
|
||||
```
|
||||
|
||||
## Installation
|
||||
|
||||
### Quick Install
|
||||
|
||||
```bash
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||||
cd claude-vision-auto
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||||
make deps # Install system dependencies
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||||
make install # Install the package
|
||||
```
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||||
|
||||
### Manual Install
|
||||
|
||||
```bash
|
||||
# Install system dependencies
|
||||
sudo apt-get update
|
||||
sudo apt-get install -y scrot python3-pip
|
||||
|
||||
# Install Python package
|
||||
pip3 install -e .
|
||||
```
|
||||
|
||||
### Verify Installation
|
||||
|
||||
```bash
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||||
# Check if command is available
|
||||
which claude-vision
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||||
|
||||
# Test Ollama connection
|
||||
curl http://localhost:11434/api/tags
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||||
```
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||||
|
||||
## Usage
|
||||
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||||
### Basic Usage
|
||||
|
||||
Replace `claude` with `claude-vision`:
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||||
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||||
```bash
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||||
# Instead of:
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||||
claude
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||||
# Use:
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||||
claude-vision
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||||
```
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||||
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||||
### With Prompts
|
||||
|
||||
```bash
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# Pass prompts directly
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||||
claude-vision "create a test file in /tmp"
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||||
|
||||
# Interactive session
|
||||
claude-vision
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||||
```
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||||
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||||
### Configuration
|
||||
|
||||
Set environment variables to customize behavior:
|
||||
|
||||
```bash
|
||||
# Ollama URL (default: http://localhost:11434/api/generate)
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||||
export OLLAMA_URL="http://custom-host:11434/api/generate"
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||||
# Vision model (default: minicpm-v:latest)
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export VISION_MODEL="llama3.2-vision:latest"
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# Idle threshold in seconds (default: 3.0)
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export IDLE_THRESHOLD="5.0"
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|
||||
# Response delay in seconds (default: 1.0)
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||||
export RESPONSE_DELAY="2.0"
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||||
# Enable debug mode
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||||
export DEBUG="true"
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||||
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||||
# Run with custom settings
|
||||
claude-vision
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```
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||||
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||||
## How It Works
|
||||
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||||
1. **Launch**: Spawns `claude` as subprocess
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2. **Monitor**: Watches output for approval keywords (Yes, No, Approve, etc.)
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3. **Detect Idle**: When output stops for `IDLE_THRESHOLD` seconds
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||||
4. **Screenshot**: Captures terminal window with `scrot`
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||||
5. **Analyze**: Sends to MiniCPM-V via Ollama API
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||||
6. **Respond**: Vision model returns "1", "y", or "WAIT"
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||||
7. **Submit**: Automatically sends response if not "WAIT"
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||||
|
||||
## Configuration Options
|
||||
|
||||
| Variable | Default | Description |
|
||||
|----------|---------|-------------|
|
||||
| `OLLAMA_URL` | `http://localhost:11434/api/generate` | Ollama API endpoint |
|
||||
| `VISION_MODEL` | `minicpm-v:latest` | Vision model to use |
|
||||
| `IDLE_THRESHOLD` | `3.0` | Seconds of idle before screenshot |
|
||||
| `RESPONSE_DELAY` | `1.0` | Seconds to wait before responding |
|
||||
| `OUTPUT_BUFFER_SIZE` | `4096` | Bytes of output to buffer |
|
||||
| `SCREENSHOT_TIMEOUT` | `5` | Screenshot capture timeout |
|
||||
| `VISION_TIMEOUT` | `30` | Vision analysis timeout |
|
||||
| `DEBUG` | `false` | Enable verbose logging |
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Ollama Not Connected
|
||||
|
||||
```bash
|
||||
# Check if Ollama is running
|
||||
docker ps | grep ollama
|
||||
|
||||
# Check if model is available
|
||||
curl http://localhost:11434/api/tags
|
||||
```
|
||||
|
||||
### Screenshot Fails
|
||||
|
||||
```bash
|
||||
# Test screenshot tool
|
||||
scrot /tmp/test.png
|
||||
ls -lh /tmp/test.png
|
||||
|
||||
# Install if missing
|
||||
sudo apt-get install scrot
|
||||
```
|
||||
|
||||
### Debug Mode
|
||||
|
||||
```bash
|
||||
# Run with verbose logging
|
||||
DEBUG=true claude-vision "test command"
|
||||
```
|
||||
|
||||
### Vision Model Not Found
|
||||
|
||||
```bash
|
||||
# Pull the model
|
||||
docker exec ollama ollama pull minicpm-v:latest
|
||||
|
||||
# Or use alternative vision model
|
||||
export VISION_MODEL="llava:latest"
|
||||
claude-vision
|
||||
```
|
||||
|
||||
## Development
|
||||
|
||||
### Setup Development Environment
|
||||
|
||||
```bash
|
||||
# Clone repository
|
||||
git clone https://git.openharbor.io/svrnty/claude-vision-auto.git
|
||||
cd claude-vision-auto
|
||||
|
||||
# Install in development mode
|
||||
pip3 install -e .
|
||||
|
||||
# Run tests
|
||||
make test
|
||||
```
|
||||
|
||||
### Project Structure
|
||||
|
||||
```
|
||||
claude-vision-auto/
|
||||
├── README.md # This file
|
||||
├── LICENSE # MIT License
|
||||
├── setup.py # Package setup
|
||||
├── requirements.txt # Python dependencies
|
||||
├── Makefile # Build automation
|
||||
├── .gitignore # Git ignore rules
|
||||
├── claude_vision_auto/ # Main package
|
||||
│ ├── __init__.py # Package initialization
|
||||
│ ├── main.py # CLI entry point
|
||||
│ ├── config.py # Configuration
|
||||
│ ├── screenshot.py # Screenshot capture
|
||||
│ └── vision_analyzer.py # Vision analysis
|
||||
├── bin/
|
||||
│ └── claude-vision # CLI wrapper script
|
||||
├── tests/ # Test suite
|
||||
│ └── test_vision.py
|
||||
├── docs/ # Documentation
|
||||
│ ├── INSTALLATION.md
|
||||
│ └── USAGE.md
|
||||
└── examples/ # Usage examples
|
||||
└── example_usage.sh
|
||||
```
|
||||
|
||||
## Supported Vision Models
|
||||
|
||||
Tested and working:
|
||||
|
||||
- **minicpm-v:latest** (Recommended) - Best for structured output
|
||||
- **llama3.2-vision:latest** - Good alternative
|
||||
- **llava:latest** - Fallback option
|
||||
|
||||
## Performance
|
||||
|
||||
- **Startup**: < 1 second
|
||||
- **Screenshot**: ~100ms
|
||||
- **Vision Analysis**: 2-5 seconds (depends on model)
|
||||
- **Total Response Time**: 3-7 seconds per approval
|
||||
|
||||
## Limitations
|
||||
|
||||
- **X11 Only**: Requires X11 display server (no Wayland support for scrot)
|
||||
- **Linux Only**: Currently only tested on Debian/Ubuntu
|
||||
- **Vision Dependency**: Requires Ollama and vision model
|
||||
- **Screen Required**: Must have GUI session (no headless support)
|
||||
|
||||
## Future Enhancements
|
||||
|
||||
- [ ] Wayland support (alternative screenshot tools)
|
||||
- [ ] macOS support
|
||||
- [ ] Headless mode (API-only, no screenshots)
|
||||
- [ ] Configurable response patterns
|
||||
- [ ] Multi-terminal support
|
||||
- [ ] Session recording and replay
|
||||
|
||||
## License
|
||||
|
||||
MIT License - See LICENSE file
|
||||
|
||||
## Author
|
||||
|
||||
**Svrnty**
|
||||
- Email: jp@svrnty.io
|
||||
- Repository: https://git.openharbor.io/svrnty/claude-vision-auto
|
||||
|
||||
## Contributing
|
||||
|
||||
Contributions welcome! Please:
|
||||
1. Fork the repository
|
||||
2. Create a feature branch
|
||||
3. Submit a pull request
|
||||
|
||||
## Acknowledgments
|
||||
|
||||
- **Anthropic** - Claude Code CLI
|
||||
- **MiniCPM-V** - Vision model
|
||||
- **Ollama** - Model serving infrastructure
|
||||
10
bin/claude-vision
Executable file
10
bin/claude-vision
Executable file
@ -0,0 +1,10 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Claude Vision Auto - CLI wrapper
|
||||
"""
|
||||
|
||||
import sys
|
||||
from claude_vision_auto.main import main
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
14
claude_vision_auto/__init__.py
Normal file
14
claude_vision_auto/__init__.py
Normal file
@ -0,0 +1,14 @@
|
||||
"""
|
||||
Claude Vision Auto - Vision-based auto-approval for Claude Code
|
||||
|
||||
Automatically analyzes terminal screenshots using MiniCPM-V vision model
|
||||
to respond to Claude Code approval prompts.
|
||||
"""
|
||||
|
||||
__version__ = "1.0.0"
|
||||
__author__ = "Svrnty"
|
||||
__license__ = "MIT"
|
||||
|
||||
from .main import run_claude_with_vision
|
||||
|
||||
__all__ = ["run_claude_with_vision"]
|
||||
46
claude_vision_auto/config.py
Normal file
46
claude_vision_auto/config.py
Normal file
@ -0,0 +1,46 @@
|
||||
"""
|
||||
Configuration for Claude Vision Auto
|
||||
"""
|
||||
|
||||
import os
|
||||
from pathlib import Path
|
||||
|
||||
# Ollama configuration
|
||||
OLLAMA_URL = os.getenv("OLLAMA_URL", "http://localhost:11434/api/generate")
|
||||
VISION_MODEL = os.getenv("VISION_MODEL", "minicpm-v:latest")
|
||||
|
||||
# Timing configuration
|
||||
IDLE_THRESHOLD = float(os.getenv("IDLE_THRESHOLD", "3.0")) # seconds of no output before screenshot
|
||||
RESPONSE_DELAY = float(os.getenv("RESPONSE_DELAY", "1.0")) # seconds to wait before sending response
|
||||
|
||||
# Buffer configuration
|
||||
OUTPUT_BUFFER_SIZE = int(os.getenv("OUTPUT_BUFFER_SIZE", "4096")) # bytes
|
||||
|
||||
# Keywords that suggest we're waiting for approval
|
||||
APPROVAL_KEYWORDS = [
|
||||
"Yes",
|
||||
"No",
|
||||
"(y/n)",
|
||||
"[y/n]",
|
||||
"Approve",
|
||||
"Do you want to",
|
||||
"create",
|
||||
"edit",
|
||||
"delete"
|
||||
]
|
||||
|
||||
# Screenshot configuration
|
||||
SCREENSHOT_TIMEOUT = int(os.getenv("SCREENSHOT_TIMEOUT", "5")) # seconds
|
||||
SCREENSHOT_TOOLS = ["scrot", "gnome-screenshot", "import", "maim"]
|
||||
|
||||
# Vision analysis timeout
|
||||
VISION_TIMEOUT = int(os.getenv("VISION_TIMEOUT", "30")) # seconds
|
||||
|
||||
# Debug mode
|
||||
DEBUG = os.getenv("DEBUG", "false").lower() in ("true", "1", "yes")
|
||||
|
||||
def get_cache_dir() -> Path:
|
||||
"""Get cache directory for screenshots"""
|
||||
cache_dir = Path.home() / ".cache" / "claude-vision-auto"
|
||||
cache_dir.mkdir(parents=True, exist_ok=True)
|
||||
return cache_dir
|
||||
164
claude_vision_auto/main.py
Normal file
164
claude_vision_auto/main.py
Normal file
@ -0,0 +1,164 @@
|
||||
"""
|
||||
Main entry point for Claude Vision Auto
|
||||
"""
|
||||
|
||||
import sys
|
||||
import time
|
||||
import select
|
||||
import subprocess
|
||||
from pathlib import Path
|
||||
|
||||
from . import config
|
||||
from .screenshot import take_screenshot, cleanup_old_screenshots
|
||||
from .vision_analyzer import VisionAnalyzer
|
||||
|
||||
|
||||
def run_claude_with_vision(args: list = None):
|
||||
"""
|
||||
Run Claude Code with vision-based auto-approval
|
||||
|
||||
Args:
|
||||
args: Command line arguments to pass to claude
|
||||
"""
|
||||
args = args or []
|
||||
|
||||
# Initialize vision analyzer
|
||||
analyzer = VisionAnalyzer()
|
||||
|
||||
# Test connection
|
||||
print("[Claude Vision Auto] Testing Ollama connection...")
|
||||
if not analyzer.test_connection():
|
||||
print("[ERROR] Cannot connect to Ollama or model not available")
|
||||
print(f"Make sure Ollama is running and '{config.VISION_MODEL}' is installed")
|
||||
sys.exit(1)
|
||||
|
||||
print(f"[Claude Vision Auto] Connected to Ollama")
|
||||
print(f"[Claude Vision Auto] Using model: {config.VISION_MODEL}")
|
||||
print(f"[Claude Vision Auto] Idle threshold: {config.IDLE_THRESHOLD}s")
|
||||
print()
|
||||
|
||||
# Build command
|
||||
cmd = ['claude'] + args
|
||||
|
||||
# Start Claude Code process
|
||||
try:
|
||||
process = subprocess.Popen(
|
||||
cmd,
|
||||
stdin=subprocess.PIPE,
|
||||
stdout=subprocess.PIPE,
|
||||
stderr=subprocess.STDOUT,
|
||||
bufsize=0
|
||||
)
|
||||
except FileNotFoundError:
|
||||
print("[ERROR] 'claude' command not found")
|
||||
print("Make sure Claude Code CLI is installed")
|
||||
sys.exit(1)
|
||||
|
||||
last_output_time = time.time()
|
||||
output_buffer = bytearray()
|
||||
|
||||
# Cleanup old screenshots
|
||||
cleanup_old_screenshots()
|
||||
|
||||
try:
|
||||
while True:
|
||||
# Check if there's data to read
|
||||
readable, _, _ = select.select([process.stdout], [], [], 0.1)
|
||||
|
||||
if readable:
|
||||
char = process.stdout.read(1)
|
||||
if not char:
|
||||
# Process ended
|
||||
break
|
||||
|
||||
# Print to terminal
|
||||
sys.stdout.buffer.write(char)
|
||||
sys.stdout.buffer.flush()
|
||||
|
||||
output_buffer.extend(char)
|
||||
last_output_time = time.time()
|
||||
|
||||
# Keep buffer reasonable size
|
||||
if len(output_buffer) > config.OUTPUT_BUFFER_SIZE:
|
||||
output_buffer = output_buffer[-config.OUTPUT_BUFFER_SIZE:]
|
||||
|
||||
# Check if idle (no output for threshold seconds)
|
||||
idle_time = time.time() - last_output_time
|
||||
|
||||
if idle_time >= config.IDLE_THRESHOLD:
|
||||
# Check if buffer suggests we're waiting for input
|
||||
buffer_str = output_buffer.decode('utf-8', errors='ignore')
|
||||
|
||||
# Look for approval keywords
|
||||
has_keywords = any(
|
||||
keyword in buffer_str
|
||||
for keyword in config.APPROVAL_KEYWORDS
|
||||
)
|
||||
|
||||
if has_keywords:
|
||||
if config.DEBUG:
|
||||
print("\n[DEBUG] Approval keywords detected in buffer")
|
||||
|
||||
print("\n[Vision] Analyzing prompt...", file=sys.stderr)
|
||||
|
||||
# Take screenshot
|
||||
screenshot_path = take_screenshot()
|
||||
|
||||
if screenshot_path:
|
||||
# Analyze with vision
|
||||
response = analyzer.analyze_screenshot(screenshot_path)
|
||||
|
||||
if response:
|
||||
print(f"[Vision] Response: {response}", file=sys.stderr)
|
||||
|
||||
if response and response.upper() != "WAIT":
|
||||
# Send response
|
||||
time.sleep(config.RESPONSE_DELAY)
|
||||
process.stdin.write(f"{response}\n".encode('utf-8'))
|
||||
process.stdin.flush()
|
||||
|
||||
# Clear buffer
|
||||
output_buffer.clear()
|
||||
last_output_time = time.time()
|
||||
|
||||
print("[Vision] Response sent", file=sys.stderr)
|
||||
else:
|
||||
print("[Vision] No action needed (WAIT)", file=sys.stderr)
|
||||
else:
|
||||
print("[Vision] Analysis failed, waiting for manual input", file=sys.stderr)
|
||||
|
||||
# Clean up screenshot
|
||||
try:
|
||||
Path(screenshot_path).unlink()
|
||||
except Exception:
|
||||
pass
|
||||
else:
|
||||
print("[Vision] Screenshot failed, waiting for manual input", file=sys.stderr)
|
||||
|
||||
# Reset idle detection
|
||||
last_output_time = time.time()
|
||||
|
||||
# Check if process is still running
|
||||
if process.poll() is not None:
|
||||
break
|
||||
|
||||
except KeyboardInterrupt:
|
||||
print("\n[Claude Vision Auto] Interrupted by user")
|
||||
process.terminate()
|
||||
process.wait()
|
||||
sys.exit(130)
|
||||
|
||||
finally:
|
||||
# Wait for process to finish
|
||||
exit_code = process.wait()
|
||||
sys.exit(exit_code)
|
||||
|
||||
|
||||
def main():
|
||||
"""CLI entry point"""
|
||||
args = sys.argv[1:]
|
||||
run_claude_with_vision(args)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
123
claude_vision_auto/screenshot.py
Normal file
123
claude_vision_auto/screenshot.py
Normal file
@ -0,0 +1,123 @@
|
||||
"""
|
||||
Screenshot capture functionality
|
||||
"""
|
||||
|
||||
import subprocess
|
||||
import tempfile
|
||||
import shutil
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
from . import config
|
||||
|
||||
|
||||
class ScreenshotError(Exception):
|
||||
"""Raised when screenshot capture fails"""
|
||||
pass
|
||||
|
||||
|
||||
def find_screenshot_tool() -> Optional[str]:
|
||||
"""Find available screenshot tool on the system"""
|
||||
for tool in config.SCREENSHOT_TOOLS:
|
||||
if shutil.which(tool):
|
||||
return tool
|
||||
return None
|
||||
|
||||
|
||||
def take_screenshot() -> Optional[str]:
|
||||
"""
|
||||
Take screenshot of active terminal window
|
||||
|
||||
Returns:
|
||||
Path to screenshot file, or None if capture failed
|
||||
"""
|
||||
tool = find_screenshot_tool()
|
||||
|
||||
if not tool:
|
||||
if config.DEBUG:
|
||||
print(f"[DEBUG] No screenshot tool found. Tried: {', '.join(config.SCREENSHOT_TOOLS)}")
|
||||
return None
|
||||
|
||||
# Create temporary file
|
||||
cache_dir = config.get_cache_dir()
|
||||
screenshot_path = cache_dir / f"screenshot_{int(subprocess.check_output(['date', '+%s']).decode().strip())}.png"
|
||||
|
||||
try:
|
||||
if tool == "scrot":
|
||||
# Capture active window
|
||||
subprocess.run(
|
||||
["scrot", "-u", str(screenshot_path)],
|
||||
check=True,
|
||||
capture_output=True,
|
||||
timeout=config.SCREENSHOT_TIMEOUT
|
||||
)
|
||||
elif tool == "gnome-screenshot":
|
||||
# Capture active window
|
||||
subprocess.run(
|
||||
["gnome-screenshot", "-w", "-f", str(screenshot_path)],
|
||||
check=True,
|
||||
capture_output=True,
|
||||
timeout=config.SCREENSHOT_TIMEOUT
|
||||
)
|
||||
elif tool == "import":
|
||||
# ImageMagick - capture root window
|
||||
subprocess.run(
|
||||
["import", "-window", "root", str(screenshot_path)],
|
||||
check=True,
|
||||
capture_output=True,
|
||||
timeout=config.SCREENSHOT_TIMEOUT
|
||||
)
|
||||
elif tool == "maim":
|
||||
# Capture active window
|
||||
subprocess.run(
|
||||
["maim", "-i", "$(xdotool getactivewindow)", str(screenshot_path)],
|
||||
shell=True,
|
||||
check=True,
|
||||
capture_output=True,
|
||||
timeout=config.SCREENSHOT_TIMEOUT
|
||||
)
|
||||
else:
|
||||
return None
|
||||
|
||||
if screenshot_path.exists():
|
||||
if config.DEBUG:
|
||||
print(f"[DEBUG] Screenshot saved to {screenshot_path}")
|
||||
return str(screenshot_path)
|
||||
else:
|
||||
return None
|
||||
|
||||
except subprocess.TimeoutExpired:
|
||||
if config.DEBUG:
|
||||
print(f"[DEBUG] Screenshot timeout with tool: {tool}")
|
||||
return None
|
||||
except subprocess.CalledProcessError as e:
|
||||
if config.DEBUG:
|
||||
print(f"[DEBUG] Screenshot failed: {e}")
|
||||
return None
|
||||
except Exception as e:
|
||||
if config.DEBUG:
|
||||
print(f"[DEBUG] Unexpected error: {e}")
|
||||
return None
|
||||
|
||||
|
||||
def cleanup_old_screenshots(max_age_seconds: int = 3600):
|
||||
"""
|
||||
Clean up old screenshots from cache directory
|
||||
|
||||
Args:
|
||||
max_age_seconds: Maximum age of screenshots to keep (default 1 hour)
|
||||
"""
|
||||
import time
|
||||
|
||||
cache_dir = config.get_cache_dir()
|
||||
current_time = time.time()
|
||||
|
||||
for screenshot in cache_dir.glob("screenshot_*.png"):
|
||||
if current_time - screenshot.stat().st_mtime > max_age_seconds:
|
||||
try:
|
||||
screenshot.unlink()
|
||||
if config.DEBUG:
|
||||
print(f"[DEBUG] Cleaned up old screenshot: {screenshot}")
|
||||
except Exception as e:
|
||||
if config.DEBUG:
|
||||
print(f"[DEBUG] Failed to cleanup {screenshot}: {e}")
|
||||
133
claude_vision_auto/vision_analyzer.py
Normal file
133
claude_vision_auto/vision_analyzer.py
Normal file
@ -0,0 +1,133 @@
|
||||
"""
|
||||
Vision analysis using MiniCPM-V via Ollama
|
||||
"""
|
||||
|
||||
import base64
|
||||
import requests
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
from . import config
|
||||
|
||||
|
||||
VISION_PROMPT = """You are analyzing a terminal screenshot showing a Claude Code approval prompt.
|
||||
|
||||
Look for:
|
||||
- Menu options like "1. Yes", "2. Yes, allow all", "3. No"
|
||||
- Questions asking for approval (create/edit/delete files)
|
||||
- Yes/No questions
|
||||
|
||||
If you see an approval prompt with numbered options:
|
||||
- Respond ONLY with the number to select "Yes" (usually "1")
|
||||
- Output format: Just the number, nothing else
|
||||
|
||||
If you see a yes/no question:
|
||||
- Respond with: y
|
||||
|
||||
If you don't see any prompt requiring input:
|
||||
- Respond with: WAIT
|
||||
|
||||
Your response (one word only):"""
|
||||
|
||||
|
||||
class VisionAnalyzer:
|
||||
"""Analyzes screenshots using vision model"""
|
||||
|
||||
def __init__(self, ollama_url: str = None, model: str = None):
|
||||
"""
|
||||
Initialize vision analyzer
|
||||
|
||||
Args:
|
||||
ollama_url: Ollama API URL (default from config)
|
||||
model: Vision model name (default from config)
|
||||
"""
|
||||
self.ollama_url = ollama_url or config.OLLAMA_URL
|
||||
self.model = model or config.VISION_MODEL
|
||||
|
||||
def analyze_screenshot(self, image_path: str) -> Optional[str]:
|
||||
"""
|
||||
Analyze screenshot and determine what response to give
|
||||
|
||||
Args:
|
||||
image_path: Path to screenshot image
|
||||
|
||||
Returns:
|
||||
Response to send ("1", "y", "WAIT", etc.) or None on error
|
||||
"""
|
||||
try:
|
||||
# Read and encode image
|
||||
with open(image_path, 'rb') as f:
|
||||
image_data = base64.b64encode(f.read()).decode('utf-8')
|
||||
|
||||
# Send to Ollama
|
||||
payload = {
|
||||
"model": self.model,
|
||||
"prompt": VISION_PROMPT,
|
||||
"images": [image_data],
|
||||
"stream": False
|
||||
}
|
||||
|
||||
if config.DEBUG:
|
||||
print(f"[DEBUG] Sending to Ollama: {self.ollama_url}")
|
||||
print(f"[DEBUG] Model: {self.model}")
|
||||
|
||||
response = requests.post(
|
||||
self.ollama_url,
|
||||
json=payload,
|
||||
timeout=config.VISION_TIMEOUT
|
||||
)
|
||||
response.raise_for_status()
|
||||
|
||||
result = response.json()
|
||||
answer = result.get('response', '').strip()
|
||||
|
||||
if config.DEBUG:
|
||||
print(f"[DEBUG] Vision model response: {answer}")
|
||||
|
||||
return answer
|
||||
|
||||
except requests.Timeout:
|
||||
if config.DEBUG:
|
||||
print("[DEBUG] Vision analysis timeout")
|
||||
return None
|
||||
except requests.RequestException as e:
|
||||
if config.DEBUG:
|
||||
print(f"[DEBUG] Vision API error: {e}")
|
||||
return None
|
||||
except Exception as e:
|
||||
if config.DEBUG:
|
||||
print(f"[DEBUG] Unexpected error in vision analysis: {e}")
|
||||
return None
|
||||
|
||||
def test_connection(self) -> bool:
|
||||
"""
|
||||
Test if Ollama is accessible and model is available
|
||||
|
||||
Returns:
|
||||
True if connection successful, False otherwise
|
||||
"""
|
||||
try:
|
||||
# Try to list tags
|
||||
tags_url = self.ollama_url.replace('/api/generate', '/api/tags')
|
||||
response = requests.get(tags_url, timeout=5)
|
||||
response.raise_for_status()
|
||||
|
||||
data = response.json()
|
||||
models = [m['name'] for m in data.get('models', [])]
|
||||
|
||||
if config.DEBUG:
|
||||
print(f"[DEBUG] Available models: {models}")
|
||||
|
||||
# Check if our model is available
|
||||
model_available = any(self.model in m for m in models)
|
||||
|
||||
if not model_available:
|
||||
print(f"Warning: Model '{self.model}' not found in Ollama")
|
||||
print(f"Available models: {', '.join(models)}")
|
||||
|
||||
return model_available
|
||||
|
||||
except Exception as e:
|
||||
if config.DEBUG:
|
||||
print(f"[DEBUG] Connection test failed: {e}")
|
||||
return False
|
||||
358
docs/INSTALLATION.md
Normal file
358
docs/INSTALLATION.md
Normal file
@ -0,0 +1,358 @@
|
||||
# Installation Guide
|
||||
|
||||
Detailed installation instructions for Claude Vision Auto.
|
||||
|
||||
## Table of Contents
|
||||
|
||||
1. [Prerequisites](#prerequisites)
|
||||
2. [System Dependencies](#system-dependencies)
|
||||
3. [Ollama Setup](#ollama-setup)
|
||||
4. [Package Installation](#package-installation)
|
||||
5. [Verification](#verification)
|
||||
6. [Troubleshooting](#troubleshooting)
|
||||
|
||||
## Prerequisites
|
||||
|
||||
### 1. Claude Code CLI
|
||||
|
||||
Install Anthropic's official CLI:
|
||||
|
||||
```bash
|
||||
npm install -g @anthropic-ai/claude-code
|
||||
```
|
||||
|
||||
Verify installation:
|
||||
|
||||
```bash
|
||||
claude --version
|
||||
```
|
||||
|
||||
### 2. Python 3.8+
|
||||
|
||||
Check Python version:
|
||||
|
||||
```bash
|
||||
python3 --version
|
||||
```
|
||||
|
||||
If not installed:
|
||||
|
||||
```bash
|
||||
sudo apt-get update
|
||||
sudo apt-get install python3 python3-pip
|
||||
```
|
||||
|
||||
### 3. Docker (for Ollama)
|
||||
|
||||
Install Docker:
|
||||
|
||||
```bash
|
||||
curl -fsSL https://get.docker.com | sh
|
||||
sudo usermod -aG docker $USER
|
||||
```
|
||||
|
||||
Log out and back in for group changes to take effect.
|
||||
|
||||
## System Dependencies
|
||||
|
||||
### Screenshot Tool
|
||||
|
||||
Install `scrot` (recommended):
|
||||
|
||||
```bash
|
||||
sudo apt-get update
|
||||
sudo apt-get install -y scrot
|
||||
```
|
||||
|
||||
Alternative screenshot tools:
|
||||
|
||||
```bash
|
||||
# GNOME Screenshot
|
||||
sudo apt-get install -y gnome-screenshot
|
||||
|
||||
# ImageMagick
|
||||
sudo apt-get install -y imagemagick
|
||||
|
||||
# Maim
|
||||
sudo apt-get install -y maim xdotool
|
||||
```
|
||||
|
||||
### Additional Dependencies
|
||||
|
||||
```bash
|
||||
sudo apt-get install -y \
|
||||
python3-pip \
|
||||
git \
|
||||
curl
|
||||
```
|
||||
|
||||
## Ollama Setup
|
||||
|
||||
### 1. Pull Ollama Docker Image
|
||||
|
||||
```bash
|
||||
docker pull ollama/ollama:latest
|
||||
```
|
||||
|
||||
### 2. Start Ollama Container
|
||||
|
||||
```bash
|
||||
docker run -d \
|
||||
-p 11434:11434 \
|
||||
--name ollama \
|
||||
--restart unless-stopped \
|
||||
ollama/ollama:latest
|
||||
```
|
||||
|
||||
For GPU support (NVIDIA):
|
||||
|
||||
```bash
|
||||
docker run -d \
|
||||
-p 11434:11434 \
|
||||
--name ollama \
|
||||
--gpus all \
|
||||
--restart unless-stopped \
|
||||
ollama/ollama:latest
|
||||
```
|
||||
|
||||
### 3. Pull Vision Model
|
||||
|
||||
```bash
|
||||
# MiniCPM-V (recommended - 5.5GB)
|
||||
docker exec ollama ollama pull minicpm-v:latest
|
||||
|
||||
# Alternative: Llama 3.2 Vision (7.8GB)
|
||||
docker exec ollama ollama pull llama3.2-vision:latest
|
||||
|
||||
# Alternative: LLaVA (4.5GB)
|
||||
docker exec ollama ollama pull llava:latest
|
||||
```
|
||||
|
||||
### 4. Verify Ollama
|
||||
|
||||
```bash
|
||||
# Check container status
|
||||
docker ps | grep ollama
|
||||
|
||||
# Test API
|
||||
curl http://localhost:11434/api/tags
|
||||
|
||||
# List installed models
|
||||
curl -s http://localhost:11434/api/tags | python3 -m json.tool
|
||||
```
|
||||
|
||||
## Package Installation
|
||||
|
||||
### Method 1: Using Makefile (Recommended)
|
||||
|
||||
```bash
|
||||
cd claude-vision-auto
|
||||
|
||||
# Install system dependencies
|
||||
make deps
|
||||
|
||||
# Install package
|
||||
make install
|
||||
```
|
||||
|
||||
### Method 2: Manual Installation
|
||||
|
||||
```bash
|
||||
cd claude-vision-auto
|
||||
|
||||
# Install system dependencies
|
||||
sudo apt-get update
|
||||
sudo apt-get install -y scrot python3-pip
|
||||
|
||||
# Install Python package
|
||||
pip3 install -e .
|
||||
```
|
||||
|
||||
### Method 3: From Git
|
||||
|
||||
```bash
|
||||
# Clone repository
|
||||
git clone https://git.openharbor.io/svrnty/claude-vision-auto.git
|
||||
cd claude-vision-auto
|
||||
|
||||
# Install
|
||||
pip3 install -e .
|
||||
```
|
||||
|
||||
## Verification
|
||||
|
||||
### 1. Check Command Installation
|
||||
|
||||
```bash
|
||||
which claude-vision
|
||||
```
|
||||
|
||||
Expected output: `/home/username/.local/bin/claude-vision`
|
||||
|
||||
### 2. Test Ollama Connection
|
||||
|
||||
```bash
|
||||
curl http://localhost:11434/api/tags
|
||||
```
|
||||
|
||||
Should return JSON with list of models.
|
||||
|
||||
### 3. Test Screenshot
|
||||
|
||||
```bash
|
||||
scrot /tmp/test_screenshot.png
|
||||
ls -lh /tmp/test_screenshot.png
|
||||
```
|
||||
|
||||
Should create a screenshot file.
|
||||
|
||||
### 4. Run Test
|
||||
|
||||
```bash
|
||||
# Start claude-vision
|
||||
claude-vision
|
||||
|
||||
# You should see:
|
||||
# [Claude Vision Auto] Testing Ollama connection...
|
||||
# [Claude Vision Auto] Connected to Ollama
|
||||
# [Claude Vision Auto] Using model: minicpm-v:latest
|
||||
```
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### "claude-vision: command not found"
|
||||
|
||||
Add to PATH in `~/.bashrc` or `~/.zshrc`:
|
||||
|
||||
```bash
|
||||
export PATH="$HOME/.local/bin:$PATH"
|
||||
```
|
||||
|
||||
Then reload:
|
||||
|
||||
```bash
|
||||
source ~/.bashrc # or source ~/.zshrc
|
||||
```
|
||||
|
||||
### "Cannot connect to Ollama"
|
||||
|
||||
Check if Ollama container is running:
|
||||
|
||||
```bash
|
||||
docker ps | grep ollama
|
||||
|
||||
# If not running, start it:
|
||||
docker start ollama
|
||||
```
|
||||
|
||||
Check if port 11434 is open:
|
||||
|
||||
```bash
|
||||
netstat -tulpn | grep 11434
|
||||
# or
|
||||
ss -tulpn | grep 11434
|
||||
```
|
||||
|
||||
### "Model not found"
|
||||
|
||||
Pull the model:
|
||||
|
||||
```bash
|
||||
docker exec ollama ollama pull minicpm-v:latest
|
||||
```
|
||||
|
||||
List available models:
|
||||
|
||||
```bash
|
||||
docker exec ollama ollama list
|
||||
```
|
||||
|
||||
### "Screenshot failed"
|
||||
|
||||
Install scrot:
|
||||
|
||||
```bash
|
||||
sudo apt-get install scrot
|
||||
```
|
||||
|
||||
Test screenshot:
|
||||
|
||||
```bash
|
||||
scrot -u /tmp/test.png
|
||||
```
|
||||
|
||||
If error persists, try alternative tools in config:
|
||||
|
||||
```bash
|
||||
export SCREENSHOT_TOOL="gnome-screenshot"
|
||||
claude-vision
|
||||
```
|
||||
|
||||
### Permission Issues
|
||||
|
||||
If pip install fails with permissions:
|
||||
|
||||
```bash
|
||||
# Install for user only
|
||||
pip3 install --user -e .
|
||||
|
||||
# Or use virtual environment
|
||||
python3 -m venv venv
|
||||
source venv/bin/activate
|
||||
pip install -e .
|
||||
```
|
||||
|
||||
### Docker Permission Denied
|
||||
|
||||
Add user to docker group:
|
||||
|
||||
```bash
|
||||
sudo usermod -aG docker $USER
|
||||
```
|
||||
|
||||
Log out and back in, then:
|
||||
|
||||
```bash
|
||||
docker ps # Should work without sudo
|
||||
```
|
||||
|
||||
## Uninstallation
|
||||
|
||||
### Remove Package
|
||||
|
||||
```bash
|
||||
make uninstall
|
||||
# or
|
||||
pip3 uninstall claude-vision-auto
|
||||
```
|
||||
|
||||
### Remove Ollama
|
||||
|
||||
```bash
|
||||
docker stop ollama
|
||||
docker rm ollama
|
||||
docker rmi ollama/ollama
|
||||
```
|
||||
|
||||
### Remove System Dependencies
|
||||
|
||||
```bash
|
||||
sudo apt-get remove scrot
|
||||
```
|
||||
|
||||
## Next Steps
|
||||
|
||||
After successful installation:
|
||||
|
||||
1. Read [USAGE.md](USAGE.md) for usage examples
|
||||
2. Configure environment variables if needed
|
||||
3. Test with a simple Claude Code command
|
||||
|
||||
## Getting Help
|
||||
|
||||
If you encounter issues not covered here:
|
||||
|
||||
1. Check the main [README.md](../README.md)
|
||||
2. Enable debug mode: `DEBUG=true claude-vision`
|
||||
3. Check logs: `~/.cache/claude-vision-auto/`
|
||||
4. Report issues: https://git.openharbor.io/svrnty/claude-vision-auto/issues
|
||||
439
docs/USAGE.md
Normal file
439
docs/USAGE.md
Normal file
@ -0,0 +1,439 @@
|
||||
# Usage Guide
|
||||
|
||||
Comprehensive usage guide for Claude Vision Auto.
|
||||
|
||||
## Table of Contents
|
||||
|
||||
1. [Basic Usage](#basic-usage)
|
||||
2. [Configuration](#configuration)
|
||||
3. [Common Scenarios](#common-scenarios)
|
||||
4. [Advanced Usage](#advanced-usage)
|
||||
5. [Tips and Best Practices](#tips-and-best-practices)
|
||||
|
||||
## Basic Usage
|
||||
|
||||
### Starting Interactive Session
|
||||
|
||||
Simply replace `claude` with `claude-vision`:
|
||||
|
||||
```bash
|
||||
claude-vision
|
||||
```
|
||||
|
||||
Expected output:
|
||||
|
||||
```
|
||||
[Claude Vision Auto] Testing Ollama connection...
|
||||
[Claude Vision Auto] Connected to Ollama
|
||||
[Claude Vision Auto] Using model: minicpm-v:latest
|
||||
[Claude Vision Auto] Idle threshold: 3.0s
|
||||
|
||||
▐▛███▜▌ Claude Code v2.0.26
|
||||
▝▜█████▛▘ Sonnet 4.5 · Claude Max
|
||||
▘▘ ▝▝ /home/username/project
|
||||
|
||||
>
|
||||
```
|
||||
|
||||
### With Initial Prompt
|
||||
|
||||
```bash
|
||||
claude-vision "create a test.md file in /tmp"
|
||||
```
|
||||
|
||||
### How Auto-Approval Works
|
||||
|
||||
When Claude asks for approval:
|
||||
|
||||
```
|
||||
╭───────────────────────────────────────────╮
|
||||
│ Create file │
|
||||
│ ╭───────────────────────────────────────╮ │
|
||||
│ │ /tmp/test.md │ │
|
||||
│ │ │ │
|
||||
│ │ # Test File │ │
|
||||
│ │ │ │
|
||||
│ │ This is a test. │ │
|
||||
│ ╰───────────────────────────────────────╯ │
|
||||
│ Do you want to create test.md? │
|
||||
│ ❯ 1. Yes │
|
||||
│ 2. Yes, allow all edits │
|
||||
│ 3. No │
|
||||
╰───────────────────────────────────────────╯
|
||||
```
|
||||
|
||||
Claude Vision Auto will:
|
||||
1. Detect idle state (3 seconds)
|
||||
2. Take screenshot
|
||||
3. Analyze with vision model
|
||||
4. Automatically select option 1
|
||||
|
||||
Output:
|
||||
|
||||
```
|
||||
[Vision] Analyzing prompt...
|
||||
[Vision] Response: 1
|
||||
[Vision] Response sent
|
||||
```
|
||||
|
||||
## Configuration
|
||||
|
||||
### Environment Variables
|
||||
|
||||
Set before running `claude-vision`:
|
||||
|
||||
```bash
|
||||
# Example: Custom configuration
|
||||
export OLLAMA_URL="http://192.168.1.100:11434/api/generate"
|
||||
export VISION_MODEL="llama3.2-vision:latest"
|
||||
export IDLE_THRESHOLD="5.0"
|
||||
export RESPONSE_DELAY="2.0"
|
||||
export DEBUG="true"
|
||||
|
||||
claude-vision
|
||||
```
|
||||
|
||||
### Persistent Configuration
|
||||
|
||||
Add to `~/.bashrc` or `~/.zshrc`:
|
||||
|
||||
```bash
|
||||
# Claude Vision Auto Configuration
|
||||
export CLAUDE_VISION_OLLAMA_URL="http://localhost:11434/api/generate"
|
||||
export CLAUDE_VISION_MODEL="minicpm-v:latest"
|
||||
export CLAUDE_VISION_IDLE_THRESHOLD="3.0"
|
||||
export CLAUDE_VISION_RESPONSE_DELAY="1.0"
|
||||
|
||||
# Alias for convenience
|
||||
alias cv="claude-vision"
|
||||
```
|
||||
|
||||
Reload:
|
||||
|
||||
```bash
|
||||
source ~/.bashrc
|
||||
```
|
||||
|
||||
### Configuration Options Reference
|
||||
|
||||
| Variable | Type | Default | Description |
|
||||
|----------|------|---------|-------------|
|
||||
| `OLLAMA_URL` | URL | `http://localhost:11434/api/generate` | Ollama API endpoint |
|
||||
| `VISION_MODEL` | String | `minicpm-v:latest` | Vision model name |
|
||||
| `IDLE_THRESHOLD` | Float | `3.0` | Seconds to wait before screenshot |
|
||||
| `RESPONSE_DELAY` | Float | `1.0` | Seconds to wait before responding |
|
||||
| `OUTPUT_BUFFER_SIZE` | Integer | `4096` | Buffer size in bytes |
|
||||
| `SCREENSHOT_TIMEOUT` | Integer | `5` | Screenshot timeout (seconds) |
|
||||
| `VISION_TIMEOUT` | Integer | `30` | Vision analysis timeout (seconds) |
|
||||
| `DEBUG` | Boolean | `false` | Enable debug logging |
|
||||
|
||||
## Common Scenarios
|
||||
|
||||
### Scenario 1: File Creation
|
||||
|
||||
```bash
|
||||
claude-vision "create a new Python script called hello.py"
|
||||
```
|
||||
|
||||
Auto-approves file creation.
|
||||
|
||||
### Scenario 2: File Editing
|
||||
|
||||
```bash
|
||||
claude-vision "add error handling to main.py"
|
||||
```
|
||||
|
||||
Auto-approves file edits.
|
||||
|
||||
### Scenario 3: Multiple Operations
|
||||
|
||||
```bash
|
||||
claude-vision "refactor the authentication module and add tests"
|
||||
```
|
||||
|
||||
Auto-approves each operation sequentially.
|
||||
|
||||
### Scenario 4: Longer Wait Time
|
||||
|
||||
For slower systems or models:
|
||||
|
||||
```bash
|
||||
IDLE_THRESHOLD="5.0" RESPONSE_DELAY="2.0" claude-vision
|
||||
```
|
||||
|
||||
### Scenario 5: Different Vision Model
|
||||
|
||||
```bash
|
||||
VISION_MODEL="llama3.2-vision:latest" claude-vision
|
||||
```
|
||||
|
||||
### Scenario 6: Remote Ollama
|
||||
|
||||
```bash
|
||||
OLLAMA_URL="http://192.168.1.100:11434/api/generate" claude-vision
|
||||
```
|
||||
|
||||
### Scenario 7: Debug Mode
|
||||
|
||||
When troubleshooting:
|
||||
|
||||
```bash
|
||||
DEBUG=true claude-vision "test command"
|
||||
```
|
||||
|
||||
Output will include:
|
||||
|
||||
```
|
||||
[DEBUG] Screenshot saved to /home/user/.cache/claude-vision-auto/screenshot_1234567890.png
|
||||
[DEBUG] Sending to Ollama: http://localhost:11434/api/generate
|
||||
[DEBUG] Model: minicpm-v:latest
|
||||
[DEBUG] Vision model response: 1
|
||||
```
|
||||
|
||||
## Advanced Usage
|
||||
|
||||
### Using Different Models
|
||||
|
||||
#### MiniCPM-V (Default)
|
||||
|
||||
Best for structured responses:
|
||||
|
||||
```bash
|
||||
VISION_MODEL="minicpm-v:latest" claude-vision
|
||||
```
|
||||
|
||||
#### Llama 3.2 Vision
|
||||
|
||||
Good alternative:
|
||||
|
||||
```bash
|
||||
VISION_MODEL="llama3.2-vision:latest" claude-vision
|
||||
```
|
||||
|
||||
#### LLaVA
|
||||
|
||||
Lightweight option:
|
||||
|
||||
```bash
|
||||
VISION_MODEL="llava:latest" claude-vision
|
||||
```
|
||||
|
||||
### Shell Aliases
|
||||
|
||||
Add to `~/.bashrc`:
|
||||
|
||||
```bash
|
||||
# Quick aliases
|
||||
alias cv="claude-vision"
|
||||
alias cvd="DEBUG=true claude-vision" # Debug mode
|
||||
alias cvs="IDLE_THRESHOLD=5.0 claude-vision" # Slower
|
||||
|
||||
# Model-specific
|
||||
alias cv-mini="VISION_MODEL=minicpm-v:latest claude-vision"
|
||||
alias cv-llama="VISION_MODEL=llama3.2-vision:latest claude-vision"
|
||||
```
|
||||
|
||||
### Integration with Scripts
|
||||
|
||||
```bash
|
||||
#!/bin/bash
|
||||
# auto-refactor.sh
|
||||
|
||||
export DEBUG="false"
|
||||
export IDLE_THRESHOLD="3.0"
|
||||
|
||||
claude-vision "refactor all JavaScript files to use modern ES6 syntax"
|
||||
```
|
||||
|
||||
### Conditional Auto-Approval
|
||||
|
||||
Create wrapper script:
|
||||
|
||||
```bash
|
||||
#!/bin/bash
|
||||
# conditional-claude.sh
|
||||
|
||||
if [ "$AUTO_APPROVE" = "true" ]; then
|
||||
claude-vision "$@"
|
||||
else
|
||||
claude "$@"
|
||||
fi
|
||||
```
|
||||
|
||||
Usage:
|
||||
|
||||
```bash
|
||||
AUTO_APPROVE=true ./conditional-claude.sh "create files"
|
||||
```
|
||||
|
||||
### Multiple Terminal Support
|
||||
|
||||
Each terminal needs separate instance:
|
||||
|
||||
```bash
|
||||
# Terminal 1
|
||||
claude-vision # Project A
|
||||
|
||||
# Terminal 2
|
||||
claude-vision # Project B
|
||||
```
|
||||
|
||||
## Tips and Best Practices
|
||||
|
||||
### 1. Adjust Idle Threshold
|
||||
|
||||
- **Fast system**: `IDLE_THRESHOLD=2.0`
|
||||
- **Slow system**: `IDLE_THRESHOLD=5.0`
|
||||
- **Remote Ollama**: `IDLE_THRESHOLD=4.0`
|
||||
|
||||
### 2. Model Selection
|
||||
|
||||
- **Accuracy**: MiniCPM-V > Llama 3.2 Vision > LLaVA
|
||||
- **Speed**: LLaVA > MiniCPM-V > Llama 3.2 Vision
|
||||
- **Size**: LLaVA (4.5GB) < MiniCPM-V (5.5GB) < Llama 3.2 (7.8GB)
|
||||
|
||||
### 3. Debug When Needed
|
||||
|
||||
Enable debug mode if responses are incorrect:
|
||||
|
||||
```bash
|
||||
DEBUG=true claude-vision
|
||||
```
|
||||
|
||||
Check vision model output to see what it's detecting.
|
||||
|
||||
### 4. Screenshot Quality
|
||||
|
||||
Ensure terminal is visible and not obscured by other windows.
|
||||
|
||||
### 5. Performance Optimization
|
||||
|
||||
For faster responses:
|
||||
|
||||
```bash
|
||||
# Pre-warm the model
|
||||
docker exec ollama ollama run minicpm-v:latest "test" < /dev/null
|
||||
|
||||
# Then use normally
|
||||
claude-vision
|
||||
```
|
||||
|
||||
### 6. Clean Up Old Screenshots
|
||||
|
||||
Screenshots are auto-cleaned after 1 hour, but manual cleanup:
|
||||
|
||||
```bash
|
||||
rm -rf ~/.cache/claude-vision-auto/*.png
|
||||
```
|
||||
|
||||
### 7. Check Model Status
|
||||
|
||||
Before starting long sessions:
|
||||
|
||||
```bash
|
||||
# Verify Ollama is responsive
|
||||
curl -s http://localhost:11434/api/tags | python3 -m json.tool
|
||||
|
||||
# Check model is loaded
|
||||
docker exec ollama ollama ps
|
||||
```
|
||||
|
||||
## Troubleshooting During Use
|
||||
|
||||
### Issue: Not Auto-Responding
|
||||
|
||||
**Symptoms**: Vision analyzes but doesn't respond
|
||||
|
||||
**Solutions**:
|
||||
|
||||
1. Check if "WAIT" is returned:
|
||||
```bash
|
||||
DEBUG=true claude-vision
|
||||
# Look for: [DEBUG] Vision model response: WAIT
|
||||
```
|
||||
|
||||
2. Increase idle threshold:
|
||||
```bash
|
||||
IDLE_THRESHOLD="5.0" claude-vision
|
||||
```
|
||||
|
||||
3. Try different model:
|
||||
```bash
|
||||
VISION_MODEL="llama3.2-vision:latest" claude-vision
|
||||
```
|
||||
|
||||
### Issue: Wrong Response
|
||||
|
||||
**Symptoms**: Selects wrong option or types wrong answer
|
||||
|
||||
**Solutions**:
|
||||
|
||||
1. Enable debug to see what vision model sees:
|
||||
```bash
|
||||
DEBUG=true claude-vision
|
||||
```
|
||||
|
||||
2. Check screenshot manually:
|
||||
```bash
|
||||
# Don't auto-clean
|
||||
ls ~/.cache/claude-vision-auto/
|
||||
```
|
||||
|
||||
3. Adjust response delay:
|
||||
```bash
|
||||
RESPONSE_DELAY="2.0" claude-vision
|
||||
```
|
||||
|
||||
### Issue: Slow Response
|
||||
|
||||
**Symptoms**: Takes too long to respond
|
||||
|
||||
**Solutions**:
|
||||
|
||||
1. Use faster model:
|
||||
```bash
|
||||
VISION_MODEL="llava:latest" claude-vision
|
||||
```
|
||||
|
||||
2. Reduce vision timeout:
|
||||
```bash
|
||||
VISION_TIMEOUT="15" claude-vision
|
||||
```
|
||||
|
||||
3. Check Ollama performance:
|
||||
```bash
|
||||
docker stats ollama
|
||||
```
|
||||
|
||||
### Issue: Too Aggressive
|
||||
|
||||
**Symptoms**: Responds to non-approval prompts
|
||||
|
||||
**Solutions**:
|
||||
|
||||
1. Increase idle threshold:
|
||||
```bash
|
||||
IDLE_THRESHOLD="5.0" claude-vision
|
||||
```
|
||||
|
||||
2. Check approval keywords in config
|
||||
3. Use manual mode for sensitive operations:
|
||||
```bash
|
||||
claude # No auto-approval
|
||||
```
|
||||
|
||||
## Getting Help
|
||||
|
||||
If issues persist:
|
||||
|
||||
1. Check logs with `DEBUG=true`
|
||||
2. Review documentation
|
||||
3. Report issues with debug output
|
||||
4. Include screenshot samples
|
||||
|
||||
## Next Steps
|
||||
|
||||
- Explore [examples/](../examples/) directory
|
||||
- Customize configuration for your workflow
|
||||
- Create shell aliases for common tasks
|
||||
- Integrate with CI/CD pipelines (if applicable)
|
||||
53
examples/example_usage.sh
Executable file
53
examples/example_usage.sh
Executable file
@ -0,0 +1,53 @@
|
||||
#!/bin/bash
|
||||
# Example usage scenarios for Claude Vision Auto
|
||||
|
||||
echo "=== Claude Vision Auto - Example Usage ==="
|
||||
echo ""
|
||||
|
||||
# Example 1: Basic usage
|
||||
echo "Example 1: Basic Interactive Session"
|
||||
echo "Command: claude-vision"
|
||||
echo ""
|
||||
|
||||
# Example 2: With prompt
|
||||
echo "Example 2: With Initial Prompt"
|
||||
echo "Command: claude-vision \"create a test.md file\""
|
||||
echo ""
|
||||
|
||||
# Example 3: Debug mode
|
||||
echo "Example 3: Debug Mode"
|
||||
echo "Command: DEBUG=true claude-vision"
|
||||
echo ""
|
||||
|
||||
# Example 4: Custom timing
|
||||
echo "Example 4: Custom Timing (slower system)"
|
||||
echo "Command: IDLE_THRESHOLD=5.0 RESPONSE_DELAY=2.0 claude-vision"
|
||||
echo ""
|
||||
|
||||
# Example 5: Different model
|
||||
echo "Example 5: Use Llama 3.2 Vision"
|
||||
echo "Command: VISION_MODEL=\"llama3.2-vision:latest\" claude-vision"
|
||||
echo ""
|
||||
|
||||
# Example 6: Remote Ollama
|
||||
echo "Example 6: Remote Ollama Server"
|
||||
echo "Command: OLLAMA_URL=\"http://192.168.1.100:11434/api/generate\" claude-vision"
|
||||
echo ""
|
||||
|
||||
# Example 7: Combined configuration
|
||||
echo "Example 7: Combined Custom Configuration"
|
||||
cat << 'EOF'
|
||||
export OLLAMA_URL="http://localhost:11434/api/generate"
|
||||
export VISION_MODEL="minicpm-v:latest"
|
||||
export IDLE_THRESHOLD="4.0"
|
||||
export RESPONSE_DELAY="1.5"
|
||||
export DEBUG="true"
|
||||
|
||||
claude-vision "refactor authentication module"
|
||||
EOF
|
||||
echo ""
|
||||
|
||||
echo "=== End of Examples ==="
|
||||
echo ""
|
||||
echo "Run any of these commands to test Claude Vision Auto"
|
||||
echo "For more information, see docs/USAGE.md"
|
||||
4
requirements-dev.txt
Normal file
4
requirements-dev.txt
Normal file
@ -0,0 +1,4 @@
|
||||
-r requirements.txt
|
||||
pytest>=7.4.0
|
||||
pytest-cov>=4.1.0
|
||||
pytest-mock>=3.11.1
|
||||
1
requirements.txt
Normal file
1
requirements.txt
Normal file
@ -0,0 +1 @@
|
||||
requests>=2.31.0
|
||||
49
setup.py
Normal file
49
setup.py
Normal file
@ -0,0 +1,49 @@
|
||||
"""
|
||||
Setup script for Claude Vision Auto
|
||||
"""
|
||||
|
||||
from setuptools import setup, find_packages
|
||||
from pathlib import Path
|
||||
|
||||
# Read README
|
||||
readme_file = Path(__file__).parent / "README.md"
|
||||
long_description = readme_file.read_text() if readme_file.exists() else ""
|
||||
|
||||
setup(
|
||||
name="claude-vision-auto",
|
||||
version="1.0.0",
|
||||
author="Svrnty",
|
||||
author_email="jp@svrnty.io",
|
||||
description="Vision-based auto-approval for Claude Code using MiniCPM-V",
|
||||
long_description=long_description,
|
||||
long_description_content_type="text/markdown",
|
||||
url="https://git.openharbor.io/svrnty/claude-vision-auto",
|
||||
packages=find_packages(),
|
||||
classifiers=[
|
||||
"Development Status :: 4 - Beta",
|
||||
"Intended Audience :: Developers",
|
||||
"License :: OSI Approved :: MIT License",
|
||||
"Programming Language :: Python :: 3",
|
||||
"Programming Language :: Python :: 3.8",
|
||||
"Programming Language :: Python :: 3.9",
|
||||
"Programming Language :: Python :: 3.10",
|
||||
"Programming Language :: Python :: 3.11",
|
||||
"Programming Language :: Python :: 3.12",
|
||||
"Programming Language :: Python :: 3.13",
|
||||
"Operating System :: POSIX :: Linux",
|
||||
"Topic :: Software Development :: Libraries :: Python Modules",
|
||||
"Topic :: Terminals",
|
||||
"Topic :: Scientific/Engineering :: Artificial Intelligence",
|
||||
],
|
||||
python_requires=">=3.8",
|
||||
install_requires=[
|
||||
"requests>=2.31.0",
|
||||
],
|
||||
entry_points={
|
||||
"console_scripts": [
|
||||
"claude-vision=claude_vision_auto.main:main",
|
||||
],
|
||||
},
|
||||
include_package_data=True,
|
||||
zip_safe=False,
|
||||
)
|
||||
79
tests/test_vision.py
Normal file
79
tests/test_vision.py
Normal file
@ -0,0 +1,79 @@
|
||||
"""
|
||||
Basic tests for Claude Vision Auto
|
||||
"""
|
||||
|
||||
import pytest
|
||||
from unittest.mock import Mock, patch, MagicMock
|
||||
from claude_vision_auto import config
|
||||
from claude_vision_auto.vision_analyzer import VisionAnalyzer
|
||||
from claude_vision_auto.screenshot import find_screenshot_tool
|
||||
|
||||
|
||||
def test_config_defaults():
|
||||
"""Test default configuration values"""
|
||||
assert config.VISION_MODEL == "minicpm-v:latest"
|
||||
assert config.IDLE_THRESHOLD == 3.0
|
||||
assert config.RESPONSE_DELAY == 1.0
|
||||
assert config.OUTPUT_BUFFER_SIZE == 4096
|
||||
|
||||
|
||||
def test_find_screenshot_tool():
|
||||
"""Test screenshot tool detection"""
|
||||
tool = find_screenshot_tool()
|
||||
# Should find at least one tool or return None
|
||||
assert tool is None or isinstance(tool, str)
|
||||
|
||||
|
||||
@patch('requests.get')
|
||||
def test_vision_analyzer_connection(mock_get):
|
||||
"""Test Ollama connection check"""
|
||||
mock_response = Mock()
|
||||
mock_response.json.return_value = {
|
||||
'models': [
|
||||
{'name': 'minicpm-v:latest'},
|
||||
{'name': 'llama3.2-vision:latest'}
|
||||
]
|
||||
}
|
||||
mock_response.raise_for_status = Mock()
|
||||
mock_get.return_value = mock_response
|
||||
|
||||
analyzer = VisionAnalyzer()
|
||||
assert analyzer.test_connection() is True
|
||||
|
||||
|
||||
@patch('requests.post')
|
||||
def test_vision_analyzer_analyze(mock_post):
|
||||
"""Test vision analysis"""
|
||||
mock_response = Mock()
|
||||
mock_response.json.return_value = {
|
||||
'response': '1'
|
||||
}
|
||||
mock_response.raise_for_status = Mock()
|
||||
mock_post.return_value = mock_response
|
||||
|
||||
analyzer = VisionAnalyzer()
|
||||
|
||||
# Create a temporary test image
|
||||
import tempfile
|
||||
with tempfile.NamedTemporaryFile(suffix='.png', delete=False) as tmp:
|
||||
# Write a minimal PNG header
|
||||
tmp.write(b'\x89PNG\r\n\x1a\n')
|
||||
tmp_path = tmp.name
|
||||
|
||||
result = analyzer.analyze_screenshot(tmp_path)
|
||||
assert result == '1'
|
||||
|
||||
# Cleanup
|
||||
import os
|
||||
os.unlink(tmp_path)
|
||||
|
||||
|
||||
def test_approval_keywords():
|
||||
"""Test approval keyword configuration"""
|
||||
assert 'Yes' in config.APPROVAL_KEYWORDS
|
||||
assert 'No' in config.APPROVAL_KEYWORDS
|
||||
assert '(y/n)' in config.APPROVAL_KEYWORDS
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
pytest.main([__file__, '-v'])
|
||||
Loading…
Reference in New Issue
Block a user