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Minion Agent
Overview :
Minion Agent is a simple yet powerful proxy framework that can interact with browsers, support deep research, automatic planning, and other functions. It is suitable for users who need to perform complex tasks and research. It provides a flexible toolkit that allows developers to easily integrate different models and tools. This framework not only improves work efficiency but also provides users with a convenient user experience, making it suitable for various scientific research and business applications. The product is open-source, allowing users to use and modify it freely.
Target Users :
Minion Agent is very suitable for researchers, developers, and business users who need efficient data processing. Its flexibility and powerful features enable users to quickly respond to challenges in a changing work environment, especially when integrating different tools and models for complex tasks.
Use Cases
Use Minion Agent for research on the latest developments in the AI field.
Quickly obtain product price information through browser tools.
Analyze market trends and consumer behavior using deep research functions.
Features
Support browser interaction and online information retrieval.
Integrate Model Context Protocol (MCP) tools to enhance tool extensibility.
Automatic planning function that generates new execution plans based on task progress.
Support multiple model configurations, such as Azure and OpenAI models.
Provide deep research functions and support data analysis in multiple formats.
Simplified configuration and environment variable settings for quick startup.
Flexible toolkit that supports custom tools and functional extensions.
How to Use
Install Minion Agent: Use the command 'pip install minion-agent-x' for installation.
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Configure the proxy: Create an AgentConfig object and set parameters such as model ID, name, description, etc.
Create a proxy instance: Call the MinionAgent.create() method to generate a proxy instance.
Run the proxy: Call the run() method of the proxy, passing in the question to be queried.
Process the result: Print or further process the results returned by the proxy.
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