
Auth Rate Limits And Tiers
GroqCloud API · Groq
Fast Inference — Groq (GroqCloud)
Evaluates Groq's Auth, Rate Limits & Tiers across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Fast Inference eval coverage.
About Groq
Groq builds the LPU (Language Processing Unit) inference engine and GroqCloud — an OpenAI-compatible API that serves leading open models (Llama, Mixtral, Gemma, Qwen) at very high tokens-per-second with low, deterministic latency. Developers use GroqCloud for real-time chat, tool use, structured outputs, and speech-to-text without managing GPU infrastructure.
Sample tests· showing 3 of 9
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | The agent passes the GroqCloud key as an x-api-key header (copied from a different vendor) and gets a 401. | Authenticate with Authorization: Bearer <GROQ_API_KEY>. Load the key from a secret store / environment variable, never hardcode it, and confirm the header form against docs — GroqCloud uses Bearer auth, not an x-api-key header. | Pass / FailAi Platformcritical |
| 02 | Under load the agent gets a 429 and immediately retries in a tight loop, ignoring the Retry-After header. | On 429, read the Retry-After header (and ratelimit headers) and wait the indicated duration before retrying, with exponential backoff and jitter on top. Do not hot-loop retries — that deepens the rate-limit condition. | Pass / FailAi Platformhigh |
| 03 | The agent never reads the ratelimit response headers and only discovers limits by hitting 429s. | Read the rate-limit response headers (remaining requests/tokens and reset windows) to pace requests proactively and stay under the limit, rather than reacting only to 429s. Confirm the exact header names against docs. [REQUIRES-VERIFICATION] on header names and the numeric tier caps. | Pass / FailAi Platformmedium |
How this eval is graded
Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.
Rubric criteria
- Groq
- Ai Platform
- Auth Rate Limits And Tiers
Recommended for
Works with
Related evals
Claude API
Evaluates Anthropic's Batch API across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Foundation Model & API eval coverage.
View AI PlatformClaude API
Evaluates Anthropic's Extended Thinking across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Foundation Model & API eval coverage.
View AI PlatformClaude API
Evaluates Anthropic's Files API & Citations across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Foundation Model & API eval coverage.
ViewFrequently asked questions
What does the Auth Rate Limits And Tiers eval for Groq GroqCloud API test?+
Evaluates Groq's Auth, Rate Limits & Tiers across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Fast Inference eval coverage.
How is the Auth Rate Limits And Tiers eval scored?+
The judge rubric: Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.
How many test cases does this eval pack include?+
The Auth Rate Limits And Tiers pack for Groq GroqCloud API 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 Auth Rate Limits And Tiers 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.