An LLM is the reasoning model an agent uses to understand input and decide what to say. The list is a curated set of models Zeptar runs through LiveKit Inference — there’s no API to add or modify models.
The list is flattened: every model appears as one row, and each pinned dated snapshot appears as an additional row with is_checkpoint: true. A checkpoint carries the same provider and display name as its parent, but pins behavior to a fixed date so a deployment can’t drift when the rolling alias updates.
Each entry reports capability hints — context window, max output tokens, image and document input support, parallel tool calls, and any reasoning-effort presets. latency_hint_ms and cost_hint_per_min are editorial display hints for the configuration UI, not authoritative latency or billing figures.
default_deprecation_config describes the lifecycle thresholds Zeptar applies when a model is retired and traffic is shifted to a fallback. Per-model deprecation_info is null until a specific model enters that lifecycle.
Use this endpoint to populate the model picker in the agent configuration UI.