gpt-computer-assistant
by Upsonic
Upsonic is a reliability-focused framework designed for real-world applications. It enables trusted agent workflows in your organization through advanced reliability features, including verification layers, triangular architecture, validator agents, and output evaluation systems.
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What is gpt-computer-assistant?
Upsonic is a next-generation framework that makes agents production-ready by solving critical challenges like reliability, model context protocol (MCP) integration, integrated browser and computer use, and secure runtime environments.
How to use gpt-computer-assistant?
To use Upsonic, install the package via pip install upsonic. Set your OpenAI API key as an environment variable. Then, you can define tasks and agents, integrate tools (including MCP servers and custom Python functions), and run them using the Agent.do() or MultiAgent.do() methods. The documentation at docs.upsonic.ai provides detailed examples and concepts.
Key features of gpt-computer-assistant
Production-Ready Scalability
Task-Centric Design (Basic, V1, V2 agents)
MCP Server Support
Tool-Calling Server
Computer Use Integration
Easy Tool Integration (Custom and MCP tools)
Reliability Layers (Verifier Agent, Editor Agent, Rounds, Loops)
Use cases of gpt-computer-assistant
Automated task execution
Web content analysis
Personalized outreach message generation
Company research and analysis
Integration with various tools and MCP servers
FAQ from gpt-computer-assistant
What is Model Context Protocol (MCP)?
What is Model Context Protocol (MCP)?
The MCP allows you to leverage tools with various functionalities developed both officially and by third parties without requiring you to build custom tools from scratch.
How does Upsonic ensure reliability?
How does Upsonic ensure reliability?
Upsonic uses a multi-layered reliability system, including verifier agents, editor agents, rounds, and loops, to ensure output accuracy and consistency.
What are the prerequisites for using Upsonic?
What are the prerequisites for using Upsonic?
You need Python 3.10 or higher and access to OpenAI or Anthropic API keys (Azure and Bedrock Supported).
How can I add custom tools to Upsonic?
How can I add custom tools to Upsonic?
You can add your custom tools and MCP tools with a single line of code. The framework supports Python functions inside a class as tools.
How can I disable telemetry?
How can I disable telemetry?
You can disable telemetry by setting the UPSONIC_TELEMETRY environment variable to false: os.environ["UPSONIC_TELEMETRY"] = "False".