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patchwork/steps/GitHubAgent/README.md

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# GitHub Agent Documentation
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The `GitHubAgent` is a software component that acts as an interface to communicate with GitHub using the GitHub CLI. It leverages AI to execute tasks defined through user input, typically involving data retrieval or operations that can be performed via the GitHub API or Git tools.
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## File Overview
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### patchwork/steps/GitHubAgent/GitHubAgent.py
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This file defines the `GitHubAgent` class which extends the `Step` class and incorporates Intuitive Models to perform agentic tasks on GitHub. It integrates various tools and configurations to facilitate interaction with GitHub repositories.
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#### Inputs
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- **Base Inputs:**
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- `base_path`: (Optional) A string representing the path to be used as the base for operations. Defaults to the current working directory.
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- `prompt_value`: A dictionary containing data to be used within prompts.
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- `task`: A string containing a task template to be executed on GitHub.
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- `github_api_key`: A string that provides authentication for accessing GitHub's API.
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- **Optional Configuration Inputs:**
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- `max_llm_calls`: An integer defining the maximum number of calls to the language model.
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- `example_json`: A string containing an example of the expected JSON response.
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- Other API keys (`openai_api_key`, `anthropic_api_key`, `google_api_key`) and client configurations needed for potential integration with AI models.
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#### Outputs
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The method `run()` returns a dictionary which contains:
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- `request_tokens`: An integer indicating the number of tokens used in requests.
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- `response_tokens`: An integer indicating the number of tokens received in responses.
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### patchwork/steps/GitHubAgent/typed.py
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This file contains the type definitions for the inputs and outputs of the `GitHubAgent`, ensuring that each component receives the correct data types and structure. It utilizes `TypedDict` to define expected keys and types for agent configuration.
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#### Key Classes
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- `GitHubAgentInputs`: Extends the required inputs with optional fields and configurations that can alter the agent's behavior.
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- `GitHubAgentOutputs`: Defines the expected output structure when the agent runs a task successfully.
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### patchwork/steps/GitHubAgent/__init__.py
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This file is an initializer for the GitHubAgent module which allows for the proper import of classes and functions from the package.
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## Usage
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The `GitHubAgent` serves developers, DevOps engineers, or data scientists who need to automate interactions with GitHub repositories. It is designed to interface seamlessly with APIs by setting tasks and receiving structured responses. This module is embedded in larger frameworks relying on GitHub for version control and project management, making it integral to various automation workflows.
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To use the `GitHubAgent`, create an instance with the required `inputs`, then call the `run()` method to execute the defined task. The results can be leveraged for reporting, analysis, or further automation processes.

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