BeeAI Platform can be deployed as a centralized instance for your team, providing a shared environment where developers can publish agents and end users can discover and run them through a unified interface.

Internal Use Only: BeeAI is not secure for public internet exposure. It includes an unprotected LLM API endpoint (/chat/completions) that would allow anyone to use your LLM credits for free. Deploy only on internal networks behind firewalls.

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Why Deploy BeeAI?

Moving from individual BeeAI instances to a team deployment provides several key advantages:

  • Centralized Catalog: All team agents in one searchable location
  • Shared Configuration: Manage LLM providers and API keys centrally
  • Agent Sharing: Developers can easily share and discover agents
  • Resource Management: Automatic scaling and resource allocation

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Deployment

BeeAI deploys on Kubernetes using Helm charts. See the Kubernetes guide for detailed instructions.

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Requirements

  • Kubernetes 1.24+ with admin access
  • Helm 3.8+
  • Persistent storage (20GB+ for PostgreSQL)
  • LLM provider API access (OpenAI, Anthropic, etc.)

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Quick Start

  1. Follow the Kubernetes guide
  2. Configure your LLM provider using environment variables
  3. Enable authentication for shared access
  4. Add agents from the public registry or your own sources