Documentation

Comprehensive guides, tutorials, and references for the NAYAFlOW AI agent orchestration platform.

Getting Started Architecture Orchestration Patterns API Reference Framework Integration Code Examples

Getting Started

Platform Overview

NAYAFlOW provides a robust infrastructure for designing, deploying, and managing AI agent workflows. Our platform supports various orchestration patterns, model integrations, and enterprise features.

Before diving into the technical details, familiarize yourself with the core concepts of AI agent orchestration and how NAYAFlOW implements them.

Learn about system architecture

Installation & Setup

1. Register for API Access

# Example API key (replace with your own)
NAYAFLOW_API_KEY=naya_sk_e8a7d4f2c1b9a6e3d5c2b8a7f4e1d9c6

2. Install the SDK

NAYAFlOW provides SDKs for multiple languages. Choose the one that best fits your development environment.

# For JavaScript/TypeScript environments
npm install @nayaflow/sdk

# For Python environments
pip install nayaflow

3. Initialize the Client

Create a client instance to connect to the NAYAFlOW API.

JavaScript

import { NayaFlow } from '@nayaflow/sdk';

const nayaflow = new NayaFlow({
  apiKey: 'your_api_key',
  environment: 'production' // or 'development'
});

Python

from nayaflow import NayaFlow

nayaflow = NayaFlow(
  api_key="your_api_key",
  environment="production"  # or "development"
)

NAYAFlOW Architecture

System Components

NAYAFlOW's architecture consists of several key components that work together to enable seamless AI agent orchestration:

Orchestration Engine: Coordinates the execution of workflows and manages agent interactions
Agent Registry: Catalogs available agents and their capabilities
Workflow Designer: Visual interface for creating and editing agent workflows
Model Integrations: Connectors to various AI models and services
Monitoring & Observability: Tools for tracking performance and debugging
Security Layer: Ensures data privacy and access control

Data Flow

Understanding how data flows through the NAYAFlOW platform is essential for designing effective agent orchestrations:

Input Processing

The platform receives input through various channels (API calls, webhooks, scheduled triggers) and routes it to the appropriate workflow. Input data is validated, transformed if necessary, and prepared for processing by the first agent in the workflow.

Agent Communication

Agents communicate through standardized message passing. Each agent receives input, performs its designated task, and produces output that can be consumed by other agents. The orchestration engine manages this communication flow according to the workflow definition.

State Management

NAYAFlOW maintains workflow state, allowing for both stateless and stateful agent interactions. The platform handles persistence, retrieval, and updating of state information throughout the workflow execution.

Output Handling

Once the workflow completes, the platform formats the final output according to the specified requirements and delivers it through the appropriate channel (API response, webhook, database update, etc.).

Orchestration Patterns

React Pattern

The React Pattern implements a think-act cycle where agents continuously observe, reason, and act until a goal is reached. This pattern is ideal for complex problem-solving scenarios requiring iterative refinement.

Effective for reasoning-heavy tasks
Supports self-correction and reflection
Enables emergent behavior through iteration

See implementation examples

Graph-based Orchestration

Graph-based orchestration allows for complex agent interaction patterns with conditional paths, parallel execution, and dynamic routing. This approach provides maximum flexibility for designing sophisticated workflows.

Supports complex decision trees
Enables parallel processing for efficiency
Handles conditional logic and branching

See implementation examples

Code Examples

Explore practical code examples for implementing AI agent orchestration with NAYAFlOW.

Quick Start

Get started quickly with NAYAFlOW using this simple integration template.

Quickstart Pattern

NAYAFlOW

→

Connect your agents with just a few lines of code

Framework Integration

NAYAFlOW integrates seamlessly with popular AI frameworks and ecosystems, enabling you to leverage existing tools and models within your orchestrated workflows.

LangChain

Integrate LangChain agents and chains into NAYAFlOW orchestrations, combining the best of both ecosystems.

View integration guide

LlamaIndex

Leverage LlamaIndex for efficient data retrieval and RAG capabilities within your NAYAFlOW workflows.

View integration guide

Custom Models

Connect your proprietary or specialized AI models to NAYAFlOW for unique capabilities and competitive advantage.

View integration guide

API Reference

Explore our comprehensive API documentation for detailed information on endpoints, parameters, and response formats.

Need Help?

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