Patched patchwork/steps/DatabaseAgent/README.md

Author: patched.codes[bot]

patchwork/steps/DatabaseAgent/README.md

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+# Database Agent Documentation
+
+This documentation covers the DatabaseAgent module, which facilitates interactions with a database using a conversational agent strategy. Below is an overview of the key files within this module and a description of their functionality.
+
+## Table of Contents
+
+- [DatabaseAgent.py](#databaseagentpy)
+- [typed.py](#typedpy)
+- [__init__.py](#initpy)
+
+## DatabaseAgent.py
+
+### Overview
+
+`DatabaseAgent.py` defines a class `DatabaseAgent` which utilizes a language model to facilitate database queries and interactions. It is part of a larger framework for task execution using configurable agents. The agent is capable of generating and executing database queries based on a given task prompt.
+
+### Inputs
+
+The main class, `DatabaseAgent`, extends from `Step`, and requires the following inputs:
+
+- **task** (str): Describes the database-related task to be performed.
+- **db_dialect** (str): Specifies the SQL dialect being used (e.g., MySQL, PostgreSQL).
+- **prompt_value** (Dict[str, Any]): Optional values to customize the task prompt.
+- **other database connection details** such as `db_driver`, `db_username`, `db_password`, `db_host`, `db_port`, `db_name`, `db_params`, and `db_driver_args`.
+- **max_llm_calls** (int): Maximum number of calls allowed to the language model.
+- **openai_api_key, anthropic_api_key, google_api_key**: API keys for various services, configured with different priorities.
+
+### Outputs
+
+The following outputs are produced by the `DatabaseAgent`:
+
+- **request_tokens** (int): The number of tokens in the request sent to the language model.
+- **response_tokens** (int): The number of tokens in the response received from the language model.
+
+### Usage
+
+This module is used to create an instance of `DatabaseAgent` which takes database task-related inputs and executes these tasks using an AI-driven strategy. It effectively acts as an intelligent assistant capable of querying databases based on complex, natural language prompts.
+
+## typed.py
+
+### Overview
+
+`typed.py` defines input and output data types for the `DatabaseAgent`. It uses `TypedDict` from `typing_extensions` to enforce type checking on the input and output dictionary structures.
+
+### Inputs
+
+- It defines `DatabaseAgentInputs`, which include optional and required database connection parameters, API keys, and configuration details.
+
+### Outputs
+
+- Defines `DatabaseAgentOutputs` describing the response structure, including `request_tokens` and `response_tokens` for tracking language model usage.
+
+## __init__.py
+
+### Overview
+
+`__init__.py` is an empty initializer file marking the directory as a Python package. 
+
+### Usage
+
+No direct usage is associated with this file, but it enables the directory to be imported as a module.
+
+---
+
+This documentation provides a clear understanding of the structure, inputs, outputs, and functionality of the DatabaseAgent module, helping developers integrate and utilize this utility in database query automation tasks effectively.