Eval directory
Evals for Replicate
8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Replicate AI products.
About Replicate
Replicate is an AI model-hosting platform — run thousands of community and custom Cog-packaged models (FLUX, SDXL, Llama, Whisper, custom fine-tunes) via a simple HTTP API with predictions, webhooks, streaming, deployments, and per-second billing.
How complete this published benchmark library is across datasets, metrics, rubrics, use-case maps, and pack context. This is library coverage, not an agent performance score.
Test datasets
8/8 packs
Scoring metrics
0/8 packs
Judge rubrics
8/8 packs
Use-case maps
0/8 packs
Pack context
8/8 packs
Available eval packs for Replicate
8 packs ready to run.
Auth Billing Safety And Governance
Evaluates Replicate's Auth, Billing, Safety & Governance across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Model Hosting eval coverage.
Cog And Custom Model Push
Evaluates Replicate's Cog & Custom Model Push across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Model Hosting eval coverage.
Deployments
Evaluates Replicate's Deployments across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Model Hosting eval coverage.
Fine Tuning Replicate Train
Evaluates Replicate's Fine-tuning (Replicate Train) across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Model Hosting eval coverage.
Models Versions And Schema
Evaluates Replicate's Models, Versions & Schema across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Model Hosting eval coverage.
Predictions Api
Evaluates Replicate's Predictions API across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Model Hosting eval coverage.
Streaming Predictions
Evaluates Replicate's Streaming Predictions across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Model Hosting eval coverage.
Webhooks
Evaluates Replicate's Webhooks across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Model Hosting eval coverage.
Why eval Replicate AI
Replicate's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.
The Corsac eval library for Replicate measures four dimensions teams care about most when deploying ai platform agents:
- Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
- Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
- Safety gates — does it escalate or refuse when it should, and only then?
- Operator quality — does it preserve analyst trust by surfacing the right context at the right time?
Every eval pack above is hand-authored against Replicate's public product surface and runnable in Corsac with your own data.