Overview

Discover how Fiberwise AI platform transforms your workflow automation with intelligent agents and seamless integrations.

What is Fiberwise?

Fiberwise is a comprehensive AI-powered platform designed to streamline and automate complex workflows through intelligent agents. Built for developers, businesses, and enterprises, Fiberwise combines the power of Large Language Models (LLMs) with robust integration capabilities to create sophisticated automation solutions.

🚀 Key Benefits

Intelligent Automation: Create smart agents that understand and process natural language
Seamless Integration: Connect with existing tools and services through OAuth and APIs
Scalable Architecture: From simple scripts to enterprise-grade deployments
Developer-Friendly: Comprehensive SDKs and APIs for Python and Node.js

How It Works

Fiberwiseprovides a complete development lifecycle for AI-powered applications, from initial setup to production deployment and monitoring.

Platform Initialization & Configuration

Begin by setting up your Fiberwiseenvironment with your preferred deployment method. Configure LLM providers for AI capabilities and establish secure connections to external services through OAuth integration.

Deployment Options:

Local development with fiber start
Self-hosted production with fiberwise-core-web
Managed cloud platform at app.fiberwise.ai

Provider Integration:

OpenAI GPT models (GPT-4, GPT-3.5)
Anthropic Claude models
Local LLM providers (Ollama, custom endpoints)

pip install fiberwise → fiber setup → fiber provider add openai --api-key YOUR_KEY

Agent Development & Function Creation

Develop intelligent agents using Python with built-in dependency injection and LLM integration. Create reusable functions for common operations and leverage the platform's service ecosystem.

Agent Architecture:

Function-based executions for simple tasks
Class-based agents for complex workflows
Multi-service agents with dependency injection

Built-in Services:

LLM providers with model selection
Dynamic data storage and querying
OAuth credential management
Real-time communication via WebSockets

Application Assembly & Pipeline Orchestration

Package your agents and apps into production-ready applications with web interfaces, REST APIs, and real-time features. Build sophisticated workflows that orchestrate multiple agents and external services.

Application Components:

Interactive web applications with JavaScript SDK
RESTful API endpoints with api authentication
WebSocket connections for real-time updates
Scheduled tasks and background processing

Workflow Capabilities:

Multi-agent coordination and chaining
Conditional logic and branching
Error handling and retry mechanisms
External API integration and data flow

Deployment, Monitoring & Operations

Deploy applications with single-command installation, monitor performance through comprehensive dashboards, and maintain your solutions with version management and scaling capabilities.

Deployment Features:

One-command installation and updates
Automatic dependency resolution
Environment-specific configuration
Rollback and version management

Operations & Monitoring:

Real-time performance dashboards
Execution history and debugging tools
System health and resource monitoring
API access and programmatic control

fiber app install → Monitor via web dashboard → fiber app update when needed

Platform Architecture

Fiberwise employs a modular, service-oriented architecture designed for scalability, security, and developer productivity.

🎯 Application Layer

Frontend

Fiberwise Core Web FastAPI + Web Components dashboard for comprehensive platform management

CLI Interface Python-based command-line tools for development and deployment automation

Custom Applications User-built apps with JavaScript SDK integration and real-time capabilities

⚡ Processing Layer

Runtime

Activation Processor Intelligent agent execution engine with dependency injection and lifecycle management

Worker System Distributed background processing with horizontal scaling and fault tolerance

Pipeline Orchestrator Multi-agent workflow coordination with conditional logic and error handling

🔧 Service Layer

APIs

LLM Provider Integration Multi-provider AI services (OpenAI, Anthropic, Ollama) with intelligent routing

OAuth & Credentials Secure external service integration with token management and refresh handling

Real-time Communication WebSocket-based live updates, streaming responses, and event broadcasting

Dynamic Data Layer Schema-flexible data storage with powerful querying and relationship management

🗄️ Infrastructure Layer

Foundation

Cross-Database Support SQLite, PostgreSQL, DuckDB, MySQL, MariaDB with automatic query adapter for "write once, run anywhere" SQL

Security & Authentication Multi-layer auth (sessions, API keys, agent keys) with CSRF protection and CORS handling

Storage & Assets Configurable storage backends (local, S3, Azure) for applications and static assets

Monitoring & Logging Health checks, performance metrics, execution tracking, and comprehensive error handling

Key Architectural Principles

🔄

Microservices Ready Loosely coupled services with clear interfaces and independent scaling

🛡️

Security First Zero-trust architecture with comprehensive authentication and authorization

📈

Horizontally Scalable Container-ready with distributed processing and load balancing capabilities

🔌

Extensible Plugin architecture with comprehensive APIs and SDK integration points