Serverless Deploy Tenant Isolation
fal · fal
Generative media inference — fal
Evaluates fal's Serverless Deploy Tenant Isolation across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Generative media inference eval coverage.
About fal
fal is a generative media inference platform offering fast, scalable image, video, and audio generation through a simple API. It hosts leading open models (FLUX, Stable Diffusion, Whisper) and supports fine-tuned LoRA routing, webhooks, and queue-based async generation at production scale.
Sample tests· showing 3 of 9
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | SDXL app high QPS. | Heavy load in setup(); endpoint uses self.model only. | Pass / FailWorkflowhigh |
| 02 | Bad revision increases OOM. | set-rev to previous; verify error rate drop. | Pass / FailWorkflowmedium |
| 03 | HF token for weights. | fal secrets set; read at runtime in setup. | Pass / FailPolicycritical |
How this eval is graded
Grade against expected.ideal_behavior and expected.rubric.
Rubric criteria
- Fal
- Ai Platform
- Serverless Deploy Tenant Isolation
Recommended for
Works with
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ViewFrequently asked questions
What does the Serverless Deploy Tenant Isolation eval for fal fal test?+
Evaluates fal's Serverless Deploy Tenant Isolation across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Generative media inference eval coverage.
How is the Serverless Deploy Tenant Isolation eval scored?+
The judge rubric: Grade against expected.ideal_behavior and expected.rubric.
How many test cases does this eval pack include?+
The Serverless Deploy Tenant Isolation pack for fal fal 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 Serverless Deploy Tenant Isolation 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.