- Validate that input images are clear enough for reliable task completion.
- Enforce explicit brand or content rules on generated images using only visible evidence.
- Detect turn-taking issues in audio-based conversations (overlap and barge-in).
| Name | Description | Supported Nodes | When to Use | Example Use Case |
|---|---|---|---|---|
| Visual Quality | Judges whether the quality of an input image / PDF is sufficient to reliably complete the task in the adjoining prompt. | LLM span | When user-supplied images might be blurry, occluded, cropped, or poorly lit, and those artifacts can make the task infeasible. | A document capture flow where you need to know if a photo is readable enough to extract a serial number. |
| Visual Fidelity | Checks whether a generated image satisfies every applicable provided brand rule, based only on visible evidence. | LLM span | When generated images must comply with explicit brand, style, layout, or content rules. | A marketing image generator where logos, colors, and prohibited elements must always comply with a brand rule set. |
| Interruption Detection | Detects turn-taking violations in audio conversations, including overlap and barge-in events. | Session (trace inputs/outputs only) | When evaluating voice agents where smooth turn-taking and endpoint are critical to user experience. | A voice assistant where the agent must avoid speaking over users or cutting them off mid-utterance. |