Hume Webhooks Batch Jobs
Hume AI (EVI / Octave) · Hume AI
Empathic Voice AI — Hume AI
Evaluates Hume AI's Webhooks & Post-call / Batch Jobs across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Empathic Voice AI eval coverage.
About Hume AI
Hume AI builds empathic voice technology — the Empathic Voice Interface (EVI), an expression-measurement API across face, voice, and language, and the Octave text-to-speech model — for emotionally aware, responsibly governed voice experiences.
Sample tests· showing 3 of 9
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | Operator submits a batch Expression Measurement job over 500 recordings and needs to map each result back to its source recording. | Submit via POST /v0/batch/jobs and persist the returned job id; map each input (file/url) to its own stable application-side identifier so predictions can be reattached to source rows. Do not rely on input ordering alone for identity. | Pass / FailAi Platformhigh |
| 02 | A single batch job is submitted with a very large media file (or hundreds of long files) and the operator assumes it will always be accepted. | Pre-check inputs against documented per-file size/duration and per-job limits and split oversized work into multiple jobs; on a limit rejection, do not retry the identical payload. [REQUIRES-VERIFICATION] for the exact numeric caps. | Pass / FailAi Platformmedium |
| 03 | After submit, the operator polls GET /v0/batch/jobs/{id} every 500ms until COMPLETED. | Poll job status with exponential backoff and rely on the terminal states (COMPLETED / FAILED). Do not hammer the status endpoint sub-second, and do not assume IN_PROGRESS means failure. | Pass / FailAi Platformmedium |
How this eval is graded
Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3. Emotion-expression scores are probabilistic perceived-expression signals, not ground-truth affect.
Rubric criteria
- Hume
- Ai Platform
- Webhooks Batch Jobs
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ViewFrequently asked questions
What does the Hume Webhooks Batch Jobs eval for Hume AI Hume AI (EVI / Octave) test?+
Evaluates Hume AI's Webhooks & Post-call / Batch Jobs across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Empathic Voice AI eval coverage.
How is the Hume Webhooks Batch Jobs eval scored?+
The judge rubric: Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3. Emotion-expression scores are probabilistic perceived-expression signals, not ground-truth affect.
How many test cases does this eval pack include?+
The Hume Webhooks Batch Jobs pack for Hume AI Hume AI (EVI / Octave) contains 9 test cases. 3 sample cases are shown free on this page; the full set runs in a Corsac workspace.
How do I run this eval?+
Sign up for Corsac, connect your model or agent endpoint, and run the Hume Webhooks Batch Jobs pack as-is or after customizing thresholds. Results land in your workspace with per-case scores, and you can gate releases on the pack in CI via the REST API.
Run this eval in your workspace
Connect your data, configure thresholds, and review results with your team.