Build AI agents
Design AI agents visually and choose between serverless or custom LLM deployment
All AI agents in xpander are built using our powerful Agent Graph System, which automatically generates and manages multi-step workflows. The journey starts in our visual Agent Builder at app.xpander.ai, where you can design and test your agent’s behavior.
After designing your agent, you have two deployment options:
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Serverless Platform - Deploy directly from the console using our managed LLMs
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SDK with Your Own LLM - Use the same agent with your preferred LLM deployment
Start with the Visual Agent Builder
Regardless of your deployment choice, begin by designing your agent in the visual builder:
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Sign up at app.xpander.ai
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Create a new agent using the Agent Builder
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Design your agent’s workflow and test its behavior
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Choose your deployment option
The Agent Builder provides:
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Visual workflow design
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Automatic Agent Graph System generation
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Real-time testing
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Multiple Source Nodes (Teams, Slack, WebUI, Webhooks)
Choose Your Deployment
Option 1: Serverless Platform
After designing your agent, you can start interacting with it using the serverless platform:
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Choose your Source Node (Slack, WebUI, or Webhook)
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Click “Save” in the Agent Builder
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Your agent is ready to use!
You can add a “task” type source node to your agent to schedule its execution. This will automatically inject the specified “prompt” into the agent and initiate its run.
Option 2: SDK with Your Own LLM
Use the same agent design with your preferred LLM deployment:
Prerequisites
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Install Python 3.8 or higher
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Install node.js 18 or higher
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xpander account and API key
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LLM provider API key
Installation
SDK Setup
Run
Next Steps
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Start Building AI Agents:
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Dive into the visual builder to start crafting your AI agent.
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Discover the power of agentic interfaces and the Agent Graph System.
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Select Your Agent Runtime and LLM:
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Option 1: Serverless Platform:
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Access app.xpander.ai to get started.
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Consult the Agent Builder guide for detailed instructions.
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Investigate the range of Source Nodes available.
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Option 2: Bring your own LLM:
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Refer to the Bring Your Own LLM Guide for setup.
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Understand SDK Source Nodes for integration.
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Need assistance? Join our Discord community or consult our documentation.