Build intelligent, autonomous AI agents that understand context, take actions, and deliver results at enterprise scale.
Get Started
| |
|---|
| Quickstart | Create your first AI agent in minutes |
| Core Concepts | Understand agents, tools, and orchestration |
| API Reference | Integrate with REST APIs and SDKs |
| Capability | Description |
|---|
| Multi-Agent Orchestration | Build intelligent systems where multiple AI agents collaborate autonomously. Choose supervisor or adaptive network patterns based on your needs. |
| Tools & Integrations | Connect agents to external systems with workflow tools, code tools, and MCP protocol. Access any API, database, or enterprise service. |
| Knowledge & RAG | Enable context-aware responses with retrieval-augmented generation. Connect 100+ data sources including Confluence, SharePoint, and databases. |
| Model Hub | Use any AI model—OpenAI, Anthropic, Google, or custom fine-tuned models. Manage deployments and optimize for cost and performance. |
| Prompt Studio | Design, test, and optimize prompts collaboratively. Compare across models, use variables, and deploy with version control. |
| Evaluation Studio | Measure AI performance with built-in and custom evaluators. Test models and full agentic workflows before deployment. |
| AI Safety & Guardrails | Built-in protection for toxicity, PII, prompt injection, and bias. Configure input/output scanning for compliance. |
| Analytics & Observability | Monitor performance with traces, sessions, and metrics. Debug issues and optimize with comprehensive logging. |
┌──────────────────────────────────────────────────────────┐
│ User Request │
└──────────────────────────────┬───────────────────────────┘
│ ▼
┌──────────────────────────────────────────────────────────┐
│ Orchestrator │
│ Analyzes intent, selects agents, coordinates │
└───────────────────────────────┬──────────────────────────┘
│ ┌───────────────────┼───────────────────┐
│ ▼ ▼ ▼
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ │ Agent A │ │ Agent B │ │ Agent C │
│ │ Specialist │ │ Specialist │ │ Specialist │
│ └──────┬──────┘ └──────┬──────┘ └──────┬──────┘
│ ▼ ▼ ▼
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ │ Tools │ │ Knowledge │ │ Tools │
│ └─────────────┘ └──────┬──────┘ └─────────────┘
│ ▼
┌───────────────────────────────────────────────────────────┐
│ Unified Response │
└───────────────────────────────────────────────────────────┘
Build Your First Agent
1. Create an Agentic App
name: Customer Support Bot
description: Handles customer inquiries about orders and products
model: gpt-4o
2. Add an Agent
name: Order Assistant
scope: Order status, tracking, returns, modifications
instructions: |
You help customers with order-related questions.
Always verify the order number before providing details.
Be concise and friendly.
tools:
- get_order_status # Fetch order details
- track_shipment # Get tracking info
- initiate_return # Start return process
4. Deploy
Publish to web widget, API, Slack, Teams, or voice channels.
Start the Quickstart →
Documentation
Building Agents
| Section | Description |
|---|
| Agents | Create agents with instructions, tools, and knowledge |
| Orchestration | Single agent, supervisor, and adaptive network patterns |
| Tools | Workflow, code, and MCP tool development |
| Knowledge | RAG configuration and data source connections |
| Memory | Session and persistent state management |
| Section | Description |
|---|
| Models | Configure OpenAI, Anthropic, Google, and custom models |
| Prompt Studio | Design and test prompts across models |
| Evaluation | Measure and improve AI quality |
| Guardrails | Safety scanning and compliance |
Operations
| Section | Description |
|---|
| Deployment | Versioning, environments, and channels |
| Analytics | Monitoring, traces, and metrics |
| API Reference | REST API and SDK documentation |
