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| 1 | +# Documentation: GitHubAgent Module |
| 2 | + |
| 3 | +This module is part of the Patchwork project and focuses on the implementation of a GitHub automation agent, which is leveraged to interact with GitHub repositories and obtain necessary data through a conversation-based agentic strategy. It utilizes both new and existing machine learning models and tools such as the GitHub CLI. |
| 4 | + |
| 5 | +## GitHubAgent.py |
| 6 | + |
| 7 | +### Description |
| 8 | + |
| 9 | +This script defines a `GitHubAgent` class which inherits from the `Step` class. It integrates several tools and strategies to facilitate GitHub tasks via AI-driven conversations. The agent is configured to execute specific tasks using the GitHub CLI and provides summaries of the actions undertaken. |
| 10 | + |
| 11 | +### Inputs |
| 12 | + |
| 13 | +- **`github_api_key`** (`str`): Required API key for accessing GitHub. |
| 14 | +- **`task`** (`str`): The task to be executed by the GitHub agent. |
| 15 | +- **Optional Inputs:** |
| 16 | + - **`base_path`** (`str`): The base directory path for operations. Defaults to the current working directory. |
| 17 | + - **`prompt_value`** (`Dict[str, Any]`): Data to be used in task prompt rendering. |
| 18 | + - **`example_json`** (`str`): Example JSON structure showing a summary of actions. |
| 19 | + - **`max_llm_calls`** (`int`): Configuration for maximum large language model calls. |
| 20 | + - **API Keys**: (Can use OpenAI, Anthropic, or Google API keys as alternatives) |
| 21 | + |
| 22 | +### Outputs |
| 23 | + |
| 24 | +- **`request_tokens`** (`int`): Number of tokens consumed during API requests. |
| 25 | +- **`response_tokens`** (`int`): Number of tokens in API responses. |
| 26 | + |
| 27 | +### Usage |
| 28 | + |
| 29 | +The class is initialized with the specified inputs and constructs an agentic strategy that simulates interaction with a GitHub repository. The outcome of the agent's actions are returned alongside token usage statistics. |
| 30 | + |
| 31 | +--- |
| 32 | + |
| 33 | +## typed.py |
| 34 | + |
| 35 | +### Description |
| 36 | + |
| 37 | +This file contains type definitions used by the `GitHubAgent`. It defines the structures for input and output data using Python's `TypedDict`. |
| 38 | + |
| 39 | +### Inputs |
| 40 | + |
| 41 | +- **`GitHubAgentInputs`**: A TypedDict class for input validation and structured configuration. |
| 42 | + - Includes fields for API keys, task descriptions, and configuration flags. |
| 43 | + |
| 44 | +### Outputs |
| 45 | + |
| 46 | +- **`GitHubAgentOutputs`**: A TypedDict class defining fields for tracking the number of tokens used in requests and responses. |
| 47 | + |
| 48 | +### Usage |
| 49 | + |
| 50 | +The types defined here ensure consistent and type-safe usage of inputs and outputs in the `GitHubAgent`. |
| 51 | + |
| 52 | +--- |
| 53 | + |
| 54 | +## __init__.py |
| 55 | + |
| 56 | +### Description |
| 57 | + |
| 58 | +This file serves as the package initializer for the `GitHubAgent` module. It currently does not include any code but typically indicates a package directory in Python. |
| 59 | + |
| 60 | +### Usage |
| 61 | + |
| 62 | +Acts as an entry point to load the module's other components correctly when imported. |
| 63 | + |
| 64 | +--- |
| 65 | + |
| 66 | +By leveraging the components defined in these files, developers can automate interactions with GitHub, execute tasks, and retrieve data programmatically with minimal manual input. |
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