PatchWork GenerateREADME

patchwork/steps/DatabaseAgent/README.md

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+# DatabaseAgent Module Documentation
+
+The `DatabaseAgent` module is designed to execute database query operations utilizing an agentic strategy involving large language models and tools. This module primarily serves as an interface between a database and a language model to facilitate data retrieval and task execution.
+
+## Overview
+
+The module contains several key components:
+
+- **DatabaseAgent**: The main class that configures and executes the database agent strategy.
+- **DatabaseAgentInputs & DatabaseAgentOutputs**: Typed dictionaries that define the expected input and output structures for the `DatabaseAgent`.
+- **Initialization**: An empty `__init__.py` making the module importable.
+
+## Code Components
+
+### File: DatabaseAgent.py
+
+#### Primary Class: `DatabaseAgent`
+
+The `DatabaseAgent` class inherits from the `Step` class and is responsible for executing an agentic strategy using language models to perform database queries.
+
+#### Inputs
+
+- **prompt_value**: A dictionary for dynamic content in the prompt.
+- **task**: A string template rendered with `prompt_value` to define tasks.
+- **db_dialect**: The database dialect/engine to use.
+- **llm_client**: Initializes a language model client using the asynchronous `AioLlmClient`.
+- **task configuration**: Configures the reasoning strategy of the agent, leveraging an AgentConfig.
+
+#### Outputs
+
+- Returns a dictionary containing the execution result and usage metrics of the agentic strategy. Specifically, it provides:
+  - **request_tokens**: The number of tokens sent in the request.
+  - **response_tokens**: The number of tokens received from the response.
+
+#### Usage
+
+This class would be instantiated with specific database and task parameters and then execute its `run()` method to perform operations, logging the data execution tasks and associated metrics.
+
+### File: typed.py
+
+#### Classes: `DatabaseAgentInputs` and `DatabaseAgentOutputs`
+
+- **DatabaseAgentInputs**: Defines possible inputs with required and optional fields, including database connection details, API keys, and example data.
+
+- **DatabaseAgentOutputs**: Structures the expected output, primarily focusing on token usage during the data execution process.
+
+### File: __init__.py
+
+This file is an empty initializer to allow importing of the module components.
+
+## Use Cases
+
+The `DatabaseAgent` is intended for integration in larger systems where automated and intelligent database querying is required. Researchers and developers could employ this tool for tasks demanding dynamic, context-aware interactions with databases, possibly for analytics, reporting, or data mining functions.
+
+Overall, this module simplifies the process of querying databases by employing a smart agent that abstracts interactions through structured prompts and agent strategies.