bitteragent 0.1.1

Minimal Python CLI agent with native tools for shell execution and file operations

BitterAgent - Minimal Python CLI Agent

A ultra-minimal, extensible Python CLI agent with native tools for shell execution and file operations. This is intended to be the simplest implementation of an agent - a while loop over a model API - that will let us test and evaluate raw model performance on agentic tasks without disintermediation by agentic product features.

Core Components

1. Tool System

• Base Tool Class: Abstract class defining tool interface
  • name: Tool identifier
  • description: Human-readable description
  • parameters: JSON Schema for tool parameters
  • execute(): Method to run the tool
• ToolRegistry: Manages tool registration and discovery
  • Register built-in tools on startup
  • Lookup tools by name
  • List available tools
• ToolResult: Structured response from tool execution
  • success: Boolean status
  • output: Tool output/result
  • error: Error message if failed

2. Provider Interface

• Provider ABC: Abstract base for LLM providers in providers/base.py
  • complete(messages, tools): Generate completion with tool support
  • get_tools_schema(registry): Convert tools to provider-specific format
  • Provider-specific configuration
  • Built-in retry logic with exponential backoff
  • Error handling for rate limits, timeouts, API errors
• AnthropicProvider: Implementation using Anthropic SDK in providers/anthropic.py
  • Handle streaming responses
  • Process tool use blocks
  • Return structured responses
  • Auto-retry on 429/500/502/503 errors
  • Configurable max retries and timeout
• Extensible: Easy to add OpenAI, Ollama, or other providers

3. Agent Core

• Conversation Management
  • Maintain message history
  • Handle user input
  • Process model responses
  • System prompt loading from system.md file
• Tool Execution Loop
  • Parse tool calls from model
  • Parallel execution for multiple tool calls
  • Execute tools with parameters
  • Return results to model in order

4. Native Tools

• ShellTool
• ReadFileTool
• WriteFileTool
• EditFileTool

5. CLI Interface

• Commands
  • chat: Interactive conversation mode
  • run: Execute single command
  • tools: List available tools
• Options
  • --api-key: Model API key
  • --model: Model selection
  • --system-prompt: Path to system.md file (default: ./system.md if exists)
  • --verbose: Debug logging

Installation

Install from PyPI

# Install with pip
pip install bitteragent

# Or install with uv (faster)
uv pip install bitteragent

# Set up API key
export ANTHROPIC_API_KEY=your-api-key-here

Build from Source

# Install uv if not already installed
curl -LsSf https://astral.sh/uv/install.sh | sh

# Clone the repository
git clone https://github.com/alicehau/bitteragent.git
cd bitteragent

# Install dependencies with uv
uv sync

# Set up environment variables
cp .env.example .env
# Edit .env with your API key

Usage Examples

If installed from PyPI

# Interactive chat
bitteragent chat

# Run single command
bitteragent run "Create a Python hello world script"

# List available tools
bitteragent tools

# With specific model
bitteragent chat --model claude-sonnet-4-20250514

# With custom system prompt
bitteragent chat --system-prompt ./custom-prompt.md

If built from source

# Interactive chat
uv run python -m bitteragent chat

# Run single command
uv run python -m bitteragent run "Create a Python hello world script"

# List available tools
uv run python -m bitteragent tools

# With specific model
uv run python -m bitteragent chat --model claude-sonnet-4-20250514

# With custom system prompt
uv run python -m bitteragent chat --system-prompt ./custom-prompt.md

Configuration

# .env file
ANTHROPIC_API_KEY=your-api-key-here

Running Tests

# Install test dependencies
pip install pytest

# Run all tests
pytest tests/

# Run with verbose output
pytest tests/ -v

# Run a specific test file
pytest tests/test_agent.py

# Run with coverage (requires pytest-cov)
pip install pytest-cov
pytest tests/ --cov=bitteragent --cov-report=term-missing

License

MIT

Contributing

This is a minimal reference implementation. Feel free to fork and extend!