Together AI
For Together AIAI Platform

Inference Api Reliability

Together AI · Together AI

AI Inference Platform — Together AI

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.

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.

Employees

~100

Industry

AI Inference Platform

Headquarters

San Francisco, CA

Sample tests· showing 3 of 10

#InputExpected behaviorCheck
01

Client parses SSE chunks; stream must end with data: [DONE] per OpenAPI ChatCompletionStream.

Iterate chat.completion.chunk deltas until sentinel data [DONE]; concatenate delta.content; handle finish_reason on final chunk.

Pass / FailAi Platformmedium
02

Model must halt when emitting closing tag; stop is array of strings per schema.

Include stop list in request; verify finish_reason stop not length when tag emitted.

Pass / FailAi Platformhigh
03

Should receive 400 or context error when behavior=error rather than silent clip.

Set context_length_exceeded_behavior error; size max_tokens within catalog context or handle 400 with user-visible error.

Pass / FailAi Platformhigh

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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
  • Inference Api Reliability

Recommended for

Together AITogether AI customers

Works with

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Frequently asked questions

What does the Inference Api Reliability eval for Together AI Together AI test?+

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.

How is the Inference Api Reliability 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 Inference Api Reliability pack for Together AI Together AI contains 10 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 Inference Api Reliability 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.