Eval directory
Evals for Together AI
8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Together AI AI products.
About Together AI
Together AI is an enterprise AI inference cloud providing fast, scalable access to leading open-source models via an OpenAI-compatible API. Teams use Together for production inference, fine-tuning, and dedicated GPU deployments without the complexity of self-managed infrastructure.
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 Together AI
8 packs ready to run.
Billing Token Metering
Evaluates Together AI's Billing & Token Metering across 7 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Inference Platform eval coverage.
Dedicated Endpoints Capacity
Evaluates Together AI's Dedicated Endpoints & Capacity across 7 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Inference Platform eval coverage.
Fine Tuning Job Lifecycle
Evaluates Together AI's Fine-Tuning Job Lifecycle across 8 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Inference Platform eval coverage.
Inference Api Reliability
Evaluates Together AI's Inference API Reliability across 10 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Inference Platform eval coverage.
Model Catalog Routing
Evaluates Together AI's Model Catalog & Routing across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Inference Platform eval coverage.
Multi Modal Vision Inputs
Evaluates Together AI's Multi-Modal Vision Inputs across 7 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Inference Platform eval coverage.
Rate Limiting 429 Recovery
Evaluates Together AI's Rate Limiting & 429 Recovery across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Inference Platform eval coverage.
Safety Guardrails Refusal
Evaluates Together AI's Safety Guardrails & Refusal across 8 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's AI Inference Platform eval coverage.
Why eval Together AI AI
Together AI'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 Together AI 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 Together AI's public product surface and runnable in Corsac with your own data.