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GoRules AI requires an LLM provider to be configured on your BRMS instance. Your administrator sets this up via environment variables on the server.

Supported LLM providers

Vertex AI and Azure currently support only their native model families. If you need cross-provider model support (e.g., Anthropic models on Vertex AI or Azure), please contact us — we are happy to add it based on customer demand.

Environment variables

Prompt caching

GoRules AI uses prompt caching to reduce token usage and improve response times. Caching behavior depends on the provider: No additional configuration is required — caching is handled automatically for all supported providers. Prompt caching can reduce token costs by up to 90% in some cases, though actual savings depend on the provider, model, and usage patterns.
For self-hosted deployments, ensure your load balancer has response buffering disabled or streaming enabled for optimal AI assistant experience.

Next steps

Once configured, the AI assistant is available to all users on a plan with AI enabled. See AI assistant for usage details.