PatchWork GenerateREADME

patchwork/steps/GitHubAgent/README.md

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+# GitHubAgent Module Documentation
+
+## Overview
+
+The `GitHubAgent` module is part of a larger codebase named Patchwork, specifically located in the `patchwork/steps/GitHubAgent/` directory. This module contains tools and configuration for creating a GitHub-supported task runner using pre-trained models to assist in data extraction and task automation through GitHub's CLI. It leverages components like `AioLlmClient`, `AgenticStrategyV2`, and a `GitHubTool` for execution, configuration, and API interaction, respectively.
+
+## Files
+
+### 1. GitHubAgent.py
+
+This file defines the `GitHubAgent` class, which serves as a controller for initiating tasks on GitHub using the command-line interface. It incorporates agentic strategy with messaging models for instruction following and execution planning.
+
+#### **Inputs**
+
+- **base_path**: A string specifying the working directory path, defaults to the current working directory.
+- **prompt_value**: A dictionary containing additional data for rendering task templates.
+- **github_api_key**: A required string for authenticating GitHub API requests.
+- **task**: Required task description, typically a string formatted with Mustache templating.
+- **example_json**: JSON-formatted string with example output structure.
+- Optionally, keys for major LLM API platforms (`openai`, `anthropic`, `google`) as annotations for client configuration.
+
+#### **Outputs**
+
+- **result**: Dictionary combining the execution result and usage metrics, such as token counts.
+
+#### **Usage**
+
+To use `GitHubAgent`, instantiate it with the necessary input parameters and invoke `run()`. It operates through LLM models to facilitate data retrieval tasks on GitHub without performing extraneous actions beyond the specified task.
+
+### 2. typed.py
+
+This file provides input and output type definitions for the `GitHubAgent` using TypedDict, enabling structured input validation and documentation.
+
+#### **Inputs**
+
+- **GitHubAgentInputs**: Extends required inputs, annotating key fields for configuration support and API key validation.
+
+#### **Outputs**
+
+- **GitHubAgentOutputs**: Includes `request_tokens` and `response_tokens` for reporting on API usage.
+
+### 3. \_\_init\_\_.py
+
+This file initializes the GitHubAgent module, currently empty but reserved for future package-level imports or configurations.
+
+## Conclusion
+
+The `GitHubAgent` module is ideally suited for developers needing to automate GitHub data fetching tasks. By configuring and deploying these classes, users can harness pre-trained LLMs to interact with GitHub’s architecture efficiently. This module embodies the intersection of LLM application within traditional command-line interfaces, augmenting software task automation.