Quickstart - Agent Builder

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Set Up Your Environment

Before diving into xpander.ai, let’s set up your development environment.

mkdir my_project
cd my_project
python -m venv .venv

# On macOS/Linux
source .venv/bin/activate

# On Windows
.venv\Scripts\activate

pip install xpander-sdk

# Set environment variables
export XPANDER_API_KEY=xpd_sk_...
export OPENAI_API_KEY=sk_...  # If you'll be using OpenAI models

# Alternative: create a .env file
echo "XPANDER_API_KEY=xpd_sk_..." >> .env
echo "OPENAI_API_KEY=sk_..." >> .env

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Build new agent in the xpander platform

Scenario : Build an AI agent that retrieves top AI news from Hacker News. You can make any of your’s choice.

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Model & Framework Flexibility

xpander.ai is completely model-agnostic and framework-agnostic, giving you maximum flexibility in how you build and deploy your AI agents:

• No-Code Option: The xpander platform UI demonstrated above lets you create fully functional agents without writing a single line of code. Simply define your agent through the AI Builder interface, and the platform handles the rest.

• Any LLM Model: Use OpenAI, Anthropic Claude, Google Gemini, or other LLM providers based on your specific needs and preferences.

• Any Agent Framework: Seamlessly integrate with popular agent frameworks like LlamaIndex, CrewAI, or HuggingFace’s Smoleagents while leveraging xpander’s enhanced capabilities.

For more advanced code-based implementations after creating your agent in the platform:

• See Start with LLM Models for direct integration with various LLM providers
• See Start with Agent Frameworks for using xpander with existing agent frameworks

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Troubleshooting / FAQ

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Next Steps