b723e2bd7d
- Created skills/ directory - Moved 272 skills to skills/ subfolder - Kept agents/ at root level - Kept installation scripts and docs at root level Repository structure: - skills/ - All 272 skills from skills.sh - agents/ - Agent definitions - *.sh, *.ps1 - Installation scripts - README.md, etc. - Documentation Co-Authored-By: Claude <noreply@anthropic.com>
68 lines
2.5 KiB
Markdown
68 lines
2.5 KiB
Markdown
# Phase 2: Terminal Execution Enhancements - Research Document
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## Research Summary
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### Modular Tool System Architecture
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Based on research of leading AI agent frameworks (AutoGen, Xaibo, ReAct patterns), here are key architectural patterns:
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#### 1. Tool Abstraction Layer
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```python
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# Base tool interface
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class Tool:
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name: str
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description: str
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parameters: dict
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async def execute(self, **kwargs) -> ToolResult:
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pass
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```
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#### 2. Tool Registry Pattern
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```python
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class ToolRegistry:
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def register(self, tool: Tool)
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def get(self, name: str) -> Tool
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def list_available(self) -> List[Tool]
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def execute(self, tool_name: str, **kwargs) -> ToolResult
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```
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#### 3. ReAct Pattern Integration
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- **Thought**: Agent reasoning about what to do
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- **Action**: Selecting and executing a tool
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- **Observation**: Result from tool execution
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- **Iteration**: Loop until completion
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#### 4. Key Features from Research
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- **Xaibo**: Tool providers make Python functions available as tools
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- **AutoGen**: Built-in `PythonCodeExecutionTool` with custom agent support
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- **ReAct**: `agent_loop()` controller that parses reasoning and executes tools
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- **Temporal**: Durable agents that evaluate available tools
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### Implementation Plan for Phase 2
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#### Task 2.1: Create Modular Tool System
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1. **Base Tool Interface** - Abstract class for all tools
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2. **Concrete Tool Implementations**:
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- `ShellTool` - Execute shell commands
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- `FileOperationTool` - File system operations
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- `WebSearchTool` - Web search capabilities
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- `CodeExecutionTool` - Python code execution
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#### Task 2.2: Enhanced Intent Analysis
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1. **Command Classification** - Better detection of command types
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2. **Tool Selection** - Automatic tool selection based on intent
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3. **Context Awareness** - Remember previous commands for suggestions
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#### Task 2.3: Error Handling & Output Formatting
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1. **Structured Error Responses** - Clear, actionable error messages
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2. **Output Formatting** - Rich output with syntax highlighting
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3. **Telemetry** - Track command success rates and patterns
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## Sources
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- [Xaibo - Modular AI Agent Framework](https://xaibo.ai/tutorial/getting-started/)
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- [Microsoft AutoGen Framework](https://github.com/microsoft/autogen)
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- [AutoGen Tools Documentation](https://microsoft.github.io/autogen/stable//user-guide/core-user-guide/components/tools.html)
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- [ReAct Pattern Implementation](https://til.simonwillison.net/llms/python-react-pattern)
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- [Multi-Agent Design Patterns](https://medium.com/aimonks/multi-agent-system-design-patterns-from-scratch-in-python-react-agents-e4480d099f38)
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