Skip to main content
Agent Zero is an open-source autonomous AI assistant framework that performs complex tasks through intelligent planning and execution. The framework supports:
  • Dynamic information gathering and analysis
  • Code and command execution
  • Multi-agent coordination
  • Autonomous objective completion
By integrating SambaCloud, you can leverage enterprise-grade language models with optimized inference performance for Agent Zero’s agentic workflows.

​
Prerequisites

Before getting started, ensure you have:

​
Installation

Deploy Agent Zero using the official Docker image: 
# Pull the Agent Zero Docker image
docker pull agent0ai/agent-zero

# Run the container with port mapping
docker run -p 50001:80 agent0ai/agent-zero

​
Configuration

​
Access settings

Navigate to the settings panel in the Agent Zero web interface.

​
Configure model selection

  1. Open the Agent Settings tab.
  2. Select your preferred SambaCloud model from the model dropdown.
  3. Available models include the latest SambaNova-hosted large language models optimized for agent workflows.

​
Set API credentials

  1. Navigate to the External Services tab
  2. Enter your SambaCloud API key in the designated field
  3. Ensure the API key has appropriate permissions for model access

​
Save configuration

Click Save to persist your settings and establish the connection to SambaCloud.

​
Verification

Once configured, Agent Zero will route inference requests through SambaCloud. You can verify the integration by:
  • Monitoring response latency improvements
  • Checking model attribution in agent responses
  • Reviewing API usage in your SambaCloud dashboard
Your SambaCloud models are now powering Agent Zero assistant, and you’re ready to experience inference that’s up to 5x faster than typical GPU providers. If you need help or run into any issues, reach out to your SambaNova support team.