Zentrix Agentic Workbench
A short summary of what the server does. Example: Modular agentic AI workflows for dataset cleaning and orchestration.
Overview
what is Zentrix Agentic Workbench?
Zentrix Agentic Workbench is a modular AI workflow platform designed for dataset cleaning and orchestration, specifically aimed at generating high-quality datasets for training conversational AI models.
how to use Zentrix Agentic Workbench?
To use the workbench, you can run the main script in two modes: quick training set creation using existing datasets or full pipeline execution to generate everything from scratch.
key features of Zentrix Agentic Workbench?
- Comprehensive pipeline for dataset generation and cleaning.
- Integration of synthetic data generation with external datasets.
- Validation and normalization of datasets to ensure quality.
use cases of Zentrix Agentic Workbench?
- Generating balanced datasets for training conversational AI models.
- Cleaning and normalizing datasets for improved model performance.
- Orchestrating workflows for multi-tool and file-access tasks.
FAQ from Zentrix Agentic Workbench?
- Can I use my own datasets with Zentrix?
Yes! You can integrate your own datasets into the pipeline for cleaning and normalization.
- Is there a way to evaluate the dataset quality?
Yes! The project includes tools for evaluating dataset quality using MCP.so.
- What programming language is used?
The project is implemented in Python.
Server Config
{
"mcpServers": {
"zentrix": {
"command": "node",
"args": [
"dist/server.js"
],
"env": {
"PORT": "3000",
"NODE_ENV": "production",
"DATASET_PATH": "/app/datasets/training_set.jsonl",
"KIMI_API_KEY": "your-kimi-api-key",
"KIMI_MODEL": "kimi-v1",
"LOCAL_API_URL": "http://localhost:3000",
"PROD_API_URL": "https://your-service-name.mcp.so"
},
"mounts": {
"../final_datasets": "/app/datasets"
}
}
}
}Project Info
Created At
8 months agoUpdated At
8 months agoAuthor Name
deslitoStar
-Language
-License
-Category
research-and-data
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