For AI agents: the complete documentation index is available at https://docs.flezise.com/llms.txt, the full documentation bundle is available at https://docs.flezise.com/llms-full.txt, and this page is available as Markdown at https://docs.flezise.com/administration/ai-runtime-settings.md.
Docs

AI runtime settings

AI Runtime Settings controls the supporting models the platform uses for knowledge indexing, generation, vision tasks, and voice input. These settings apply platform-wide. Projects inherit them and cannot override them individually.

::::note Read this if you administer the platform AI configuration. Changing these settings needs the Manage Providers permission. ::::

Configure supporting models

Open Settings → AI Runtime Settings ("Configure platform-wide supporting AI settings.").

AI Runtime Settings with four knob sections: Knowledge Base, Generation and Q&A, Vision, and Experiments, each showing a Provider selector and a Model selector

Knobs group into four sections. Each knob has a Provider and Model selector drawn from the gateway's connected providers:

SectionPurpose
Knowledge BaseEmbedding model for all stored knowledge
Generation & Q&AModel for artifact generation and assistant responses
VisionModel for image, PDF, and diagram analysis
ExperimentsModels powering experimental platform features

If providers cannot be reached, the page shows "Configured gateway providers could not load…". If no provider exposes models, it shows "No configured gateway providers expose models. Connect a provider in AI Gateway before changing model settings."

Change the knowledge-base embedding model

Changing the Knowledge Base embedding model triggers a full re-index of all stored knowledge. Before the change takes effect, you must confirm by typing REEMBED ALL in the confirmation dialog.

Re-embedding runs as a background job. Knowledge search returns results from the previous index until the job completes.

Speech and voice settings

The page includes a Voice Input section below the AI knobs. Speech settings control the speech-to-text provider and model used for voice input across the platform.

Next steps