Getting Started
Installation
Install the Meibel SDK and configure your environment
Quick Start
Create your first monitored workflow
Configuration
Set up API keys, endpoints, and parameters
API Reference
Complete endpoint and method documentation
Core Concepts
Workflows
Define AI processing pipelines with confidence thresholds
Confidence Scoring
Real-time quality evaluation across multiple dimensions
Decision Tracing
Complete audit trails linking outputs to inputs and logic
Execution Control
Configure fallbacks, escalation rules, and intervention points
Why Meibel?
Real-time Monitoring
Track confidence scores and performance metrics as AI processes run
Full Transparency
Complete visibility into decision-making processes and data lineage
Production Ready
Enterprise-grade reliability with built-in fallbacks and error handling
Architecture Overview
Data Sources → Meibel Runtime → AI Models → Scored Output
Quick Links
SDKs
Python, Node.js, and CLI tools
Examples
Real-world implementation patterns
Support
Get help from our team
Changelog
Latest updates and features