a year ago
research-and-dataThe proxy enables integration between OpenAI chat models and local MCP servers via Function Calling, allowing custom PII checks for sensitive data verification
Overview
what is ZIO-LLM-Proxy?
ZIO-LLM-Proxy is a project that enables integration between OpenAI chat models and local MCP servers through Function Calling, facilitating custom PII checks for sensitive data verification.
how to use ZIO-LLM-Proxy?
To use ZIO-LLM-Proxy, send a message to the proxy, which will then communicate with the LLM and MCP servers to process the request while ensuring sensitive data is handled appropriately.
key features of ZIO-LLM-Proxy?
- Integration with OpenAI chat models for enhanced functionality
- Custom PII checks to verify sensitive data
- User control over sharing sensitive information
use cases of ZIO-LLM-Proxy?
- Securely processing user queries with sensitive data
- Integrating local MCP servers with AI models for enhanced data handling
- Ensuring compliance with data privacy regulations during AI interactions
FAQ from ZIO-LLM-Proxy?
- What programming language is used for ZIO-LLM-Proxy?
The project is built using Scala with the ZIO stack.
- How does the PII check work?
The PII check uses regex to identify sensitive data without exposing it to the user.
- Is there an authentication mechanism?
No authentication mechanism is required for this project.