Dedicated Endpoints Capacity
Together AI · Together AI
AI Inference Platform — Together AI
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.
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.
Sample tests· showing 3 of 7
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | Discovery gap on cold-start seconds—must not invent numeric SLA. | {"criteria": ["Explains reserved capacity vs serverless", "Tags [REQUIRES-VERIFICATION] for cold-start time", "Recommends min replicas >0 for SLA"], "pass_threshold": 2} | Pass / FailAi Platformhigh |
| 02 | Batch docs: discount does not apply on dedicated usage. | ["Routes batch to serverless for discount when latency ok", "Uses dedicated only when reserved capacity needed", "Does not promise 50% off on dedicated batch"] | Pass / FailAi Platformmedium |
| 03 | Autoscaling API not in fetched docs [REQUIRES-VERIFICATION]. | Describe console-driven autoscale conceptually; tag undocumented REST; suggest monitoring queue depth. | Pass / FailAi Platformhigh |
How this eval is graded
Grade the agent's response against expected.ideal_behavior and expected.rubric. Score 1-5 (4+ passes). Penalize failure_modes. For negative controls, correct behavior is refuse/abstain.
Rubric criteria
- Together Ai
- Ai Platform
- Dedicated Endpoints Capacity
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ViewFrequently asked questions
What does the Dedicated Endpoints Capacity eval for Together AI Together AI test?+
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.
How is the Dedicated Endpoints Capacity eval scored?+
The judge rubric: Grade the agent's response against expected.ideal_behavior and expected.rubric. Score 1-5 (4+ passes). Penalize failure_modes. For negative controls, correct behavior is refuse/abstain.
How many test cases does this eval pack include?+
The Dedicated Endpoints Capacity pack for Together AI Together AI contains 7 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 Dedicated Endpoints Capacity 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.