

Agently AI Application Development Framework
Overview :
Agently is an open-source framework for developing applications with large models, designed to help developers quickly build native AI agent applications based on large language models. It simplifies the interaction process with large language models through a series of tools and interfaces, allowing developers to focus more on implementing business logic. The Agently framework supports multiple models, is easy to install and configure, and has high flexibility and extensibility.
Target Users :
The Agently framework is suitable for developers and teams who need to rapidly develop and deploy AI applications based on large models. Whether it's building a customer service robot, a role-playing robot, or other types of intelligent assistants, Agently can provide powerful support and convenience.
Use Cases
Generate SQL queries based on given database metadata information.
Write advertising slogans based on images and given styles.
Conduct customer interviews based on questionnaire templates.
Features
Simple and easy-to-learn syntax, usable within 5 minutes.
Designed for engineering developers, with high application development flexibility.
Deep architectural design and underlying concepts.
Supports streaming output, convenient for listening and processing results.
Workflow workflow management, supports the division and orderly connection of complex tasks.
How to Use
Install the Agently framework: Use pip install -U Agently to install.
Create an Agent instance: Specify the large model and authentication information for the Agent instance in a few lines of code.
Set Agent roles and user information: Set the Agent's roles and relevant user information according to the application scenario.
Initiate a request: Use the Agent instance to make a request, which can be a basic request or a more complex Workflow management.
Process streaming output: Define event handling methods to listen and process the Agent's streaming output results.
Workflow workflow management: Create and manage complex workflows, divide tasks into blocks and connect them in order.
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