What is LoopOS AI?
LoopOS AI is a standalone product that can be used headlessly or integrated within LoopOS applications. It provides a robust set of AI-powered services designed to automate and enhance operations in circular economy marketplaces.Multi-Agent Architecture
Specialized AI agents work together to handle complex workflows like product identification, validation, and pricing.
API-First Design
All services are accessible via REST API, making integration seamless across different platforms and applications.
Context-Aware
Services leverage business context and historical data to provide intelligent, relevant responses.
Observable & Monitored
Built-in observability with Langfuse integration for tracing, token tracking, and cost monitoring.
Core Principles
LoopOS AI is built on several key principles:- Technological isolation: Services are self-contained and can operate independently
- Leverage existing tools: Built on proven frameworks like OpenAI Agents and FastAPI
- Super agile development: Fast deploy cycles with script-based development
- Production testing: MVPs are tested in production with aggressive monitoring
- Continuous improvement: Focus on improving models rather than over-customizing current implementations
Key Components
LoopOS AI Server
The Python-based server hosts all AI agents and services, serving as the backbone of the LoopOS AI ecosystem. It features:- Multi-agent architecture with specialized agents
- Built-in guardrails for safety and compliance
- Scalable and modular infrastructure
- Centralized prompt management
- Performance and cost monitoring
LoopOS Context Provider
Context is everything for LoopOS AI. All context must be managed and provided by LoopOS applications, particularly LoopOS Core. The context includes:- Business operations information
- Use cases and models
- Item data and metadata
- Historical context for comprehensive understanding
Use Cases
Product Submission
Conversational AI agent guides users through product submission, identifying items from catalog and collecting required information.
Marketplace Listings
Generate optimized marketplace listings with pricing, descriptions, and condition assessment for C2C transactions.
Content Validation
Automatically validate marketplace listings, brands, and products against quality standards and catalog references.
Value Estimation
Estimate item values using web search and market analysis for Portuguese marketplaces.
ID Validation
Extract and validate information from ID documents (passports, ID cards) with OCR and validation checks.
Protocol Generation
Automatically generate structured protocols (question sets) for collecting item information by category.
Getting Started
1
Explore the Services
Review the available services in the Services section to understand what LoopOS AI can do.
2
Understand the Architecture
Learn about the Architecture to understand how services are structured and how agents work together.
3
Try the Quickstart
Follow the Quickstart Guide to make your first API call and see LoopOS AI in action.
4
Integrate with Your App
Check the AI Hub for integration guides, prompt examples, and webhook configurations.
Next Steps
- Read the Architecture documentation to understand the system design
- Explore Core Concepts to learn about services and agents
- Check the API Reference for detailed endpoint documentation
- Visit the AI Hub for integration guides and best practices