> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agentflow.live/llms.txt
> Use this file to discover all available pages before exploring further.

# What Are AI Connections?

> Understand how AgentFlow connects to AI and distributes it

# What Are AI Connections in AgentFlow?

**Understand how AgentFlow connects to AI and distributes it across organizations.**

AgentFlow is a **connection and distribution platform** for AI. You bring your own AI endpoints (OpenAI, custom workflows, agent builders, etc.), and AgentFlow provides the interface, access control, and multi-organization distribution.

***

## Understanding the Platform

### The Simple Explanation

Think of AgentFlow as **infrastructure for AI deployment**:

* **You create** AI agents, workflows, or endpoints elsewhere
* **You connect** them to AgentFlow via API
* **AgentFlow provides** the chat UI, user management, and distribution
* **You deploy** to multiple organizations with data isolation

### What AgentFlow Provides

| What You Build     | What AgentFlow Provides |
| ------------------ | ----------------------- |
| AI endpoint/agent  | Chat interface          |
| Custom logic       | User management         |
| Agent behavior     | Access control          |
| Prompts & training | Distribution layer      |
| API responses      | Organization isolation  |
| Business logic     | Analytics & monitoring  |

***

## Connection Components

Every AI connection in AgentFlow consists of:

### 1. The Endpoint URL

The AI service or workflow you're connecting to:

<CardGroup cols={2}>
  <Card title="AI Models" icon="brain">
    Direct API connections

    * OpenAI (GPT-4, GPT-3.5)
    * Anthropic (Claude)
    * Google (Gemini)
    * Custom AI services
  </Card>

  <Card title="Workflows" icon="wand-magic-sparkles">
    Automation platforms

    * N8N workflows
    * Make.com scenarios
    * Zapier automations
    * Custom logic flows
  </Card>

  <Card title="Agent Builders" icon="robot">
    Pre-built agent systems

    * ChatGPT Agent Builder
    * LangChain applications
    * Custom agent endpoints
    * OpenAI Assistants
  </Card>

  <Card title="Custom Endpoints" icon="webhook">
    Any webhook service

    * Serverless functions
    * Cloud Run services
    * Microservices
    * HTTP APIs
  </Card>
</CardGroup>

### 2. Request/Response Mapping

How AgentFlow communicates with your AI connection:

**Request Format:**

* AgentFlow sends user messages to your endpoint
* Uses configurable field mapping
* Supports custom headers and authentication
* Works with any JSON structure

**Response Format:**

* Your endpoint returns the AI's response
* AgentFlow extracts the message content
* Displays to the user in the chat interface
* Maintains conversation history

### 3. Access Control

Who can use this AI connection:

* **Groups**: Organize users by team or purpose
* **Permissions**: Control which connections each group can access
* **Organization Isolation**: Each org's data stays separate
* **Distribution**: Deploy connections across multiple organizations

***

## Types of AI Connections

AgentFlow can connect to any AI endpoint. Here are common types:

### Customer Support Agents

Connect to AI-powered support systems that help customers with questions and troubleshooting.

**Typical Connections:**

* OpenAI API with support knowledge
* Custom workflow with CRM integration
* Pre-built support agent APIs

### Coding Assistants

Connect to technical AI systems that help with code, debugging, and technical documentation.

**Typical Connections:**

* GPT-4 API for code generation
* LangChain agent with code tools
* Custom coding endpoint

### Content Writers

Connect to AI systems designed for creating marketing content, blog posts, and copy.

**Typical Connections:**

* Claude API for long-form content
* Custom workflow with brand guidelines
* Content generation endpoints

### Data Analysts

Connect to AI systems that analyze data and generate reports.

**Typical Connections:**

* Custom endpoint with database access
* Workflow automation + AI
* Analytics-focused AI service

### Multi-Step Workflows

Connect to complex automation systems that combine multiple services.

**Typical Connections:**

* N8N workflows with AI integration
* Make.com scenarios
* Custom business logic endpoints

***

## What AgentFlow Provides

AgentFlow acts as the connection and distribution layer:

<AccordionGroup>
  <Accordion title="Conversation Interface" icon="messages">
    * Clean chat UI for users
    * Conversation history
    * Multi-user support
    * Organization management
  </Accordion>

  <Accordion title="Connection Management" icon="plug">
    * Connect any AI endpoint
    * Configure request/response mapping
    * Secure authentication handling
    * Test before deployment
  </Accordion>

  <Accordion title="Access Control" icon="lock">
    * Group-based permissions
    * User management
    * Role assignments
    * Audit trails
  </Accordion>

  <Accordion title="Distribution" icon="share-nodes">
    * Deploy to multiple organizations
    * Data isolation per org
    * Centralized management
    * Scalable architecture
  </Accordion>

  <Accordion title="Analytics" icon="chart-line">
    * Usage tracking
    * Cost monitoring
    * Performance metrics
    * Export capabilities
  </Accordion>
</AccordionGroup>

***

## Important Notes

<Note>
  **AgentFlow is a connection platform.** You connect your own AI agents, workflows, or endpoints to AgentFlow. The platform handles:

  * User interface and conversations
  * Access control and permissions
  * Distribution across organizations
  * Analytics and monitoring
</Note>

<Warning>
  **What AgentFlow Doesn't Do:**

  * Build or train AI models
  * Create agent logic or prompts
  * Host AI inference
  * Provide AI capabilities directly

  You bring your own AI endpoints, and AgentFlow distributes them.
</Warning>

***

## Agent Distribution

One of AgentFlow's most powerful features:

### What is Distribution?

Deploy your agent to multiple organizations while maintaining complete data isolation.

```
     Your Agent
         ↓
    ┌────┴────┐
    ↓         ↓
  Org A     Org B
    ↓         ↓
  Data A    Data B
  (isolated)(isolated)
```

### Why Distribute?

**SaaS Companies:**

* Provide AI to every customer
* Each customer gets isolated instance
* Customize per customer

**Agencies:**

* Deploy same agent to all clients
* Maintain separate data
* Centralized improvements

**Enterprises:**

* Distribute across departments
* Maintain security boundaries
* Consistent capabilities

<Card title="Learn About Distribution" icon="share-nodes" href="/distribution/distribution-overview">
  Complete guide to agent distribution
</Card>

***

## Best Practices

### 1. Start Simple

Don't over-configure your first connection:

* Start with a simple AI API
* Test with one endpoint
* Add complexity as needed
* Verify it works before distributing

### 2. Test Thoroughly

Before deploying to users:

* Test your endpoint independently
* Verify request/response mapping
* Try various questions and scenarios
* Get feedback from team members

### 3. Monitor Performance

Track how your connections perform:

* Review conversation logs
* Monitor response times
* Track costs and usage
* Gather user feedback

### 4. Iterate and Improve

Connections improve over time:

* Update endpoints as needed
* Optimize response mapping
* Refine access controls
* Scale based on usage patterns

***

## Real-World Examples

### Example 1: SaaS Company Support

**Use Case**: Deploy AI support agent to 500+ customers

**Setup:**

* Connected GPT-4 API endpoint
* Distributed to all customer orgs
* Each org's data isolated
* Centralized updates

**Benefits:**

* One configuration, 500 deployments
* Update once, affects all customers
* Complete data isolation
* Easy to manage

### Example 2: E-commerce with Inventory

**Use Case**: Product recommendations with real-time inventory

**Setup:**

* Custom N8N workflow endpoint
* Checks inventory database
* Calls AI for recommendations
* Returns personalized results

**Benefits:**

* Complex logic handled in workflow
* Real-time data integration
* Custom business rules
* Flexible and powerful

### Example 3: Multi-Department Enterprise

**Use Case**: Different AI tools per department

**Setup:**

* HR: Claude API for onboarding
* Sales: Custom CRM + AI workflow
* Support: GPT-4 API
* Each in separate groups

**Benefits:**

* Appropriate AI per department
* Granular access control
* Separate cost tracking
* Unified interface

***

## What's Next?

Ready to create your own agent?

<CardGroup cols={2}>
  <Card title="Create Your First Agent" icon="plus" href="/agents/creating-your-first-agent">
    Step-by-step agent creation guide
  </Card>

  <Card title="Choose an AI Connection" icon="brain" href="/agents/choosing-ai-models">
    Compare AI connections and pick the right one
  </Card>

  <Card title="Configure Your Agent" icon="sliders" href="/agents/configuring-agents">
    Advanced configuration options
  </Card>

  <Card title="Test Your Agent" icon="vial" href="/agents/testing-agents">
    Best practices for testing
  </Card>
</CardGroup>

***

<Card title="Questions About Agents?" icon="circle-question" href="/support/common-issues">
  Check our FAQ or contact [support@agentflow.live](mailto:support@agentflow.live)
</Card>