LangSmith
For LangSmithAI Platform

Workspaces Rbac Billing

LangSmith · LangSmith

LLM observability and evaluation — LangSmith

Evaluates LangSmith's Workspaces, RBAC & Billing across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's LLM observability and evaluation eval coverage.

About LangSmith

LangSmith is LangChain's LLM observability and evaluation platform: tracing, datasets, evaluators (LLM-as-judge, code, and human), experiments, prompt management, and online monitoring used by AI teams to measure and improve LLM apps in production.

Employees

~200

Industry

LLM Observability

Headquarters

San Francisco, CA

Sample tests· showing 3 of 9

#InputExpected behaviorCheck
01

Key must write traces/experiments but not delete datasets.

Create key in Settings → API Keys scoped to workspace; store in CI secret; rotate; never commit langsmith key to repo.

Pass / FailAi Platformcritical
02

Rotation scheduled; dual-key period needed for CI and prod workers.

Provision new key; dual-write period; update secrets; revoke old after drain; monitor 401 on ingestion.

Pass / FailAi Platformhigh
03

Multi-tenant SaaS uses separate LangSmith projects per customer.

Set project_name on all runs/evaluate calls; list_runs always filters project; never reuse API keys across customer boundaries without RBAC review.

Pass / FailAi Platformcritical

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6 more test cases

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How this eval is graded

Grade against expected.ideal_behavior and expected.rubric. Penalize failure_modes.

Rubric criteria

  • Langsmith
  • Ai Platform
  • Workspaces Rbac Billing

Recommended for

LangSmithLangSmith customers

Works with

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Frequently asked questions

What does the Workspaces Rbac Billing eval for LangSmith LangSmith test?+

Evaluates LangSmith's Workspaces, RBAC & Billing across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's LLM observability and evaluation eval coverage.

How is the Workspaces Rbac Billing eval scored?+

The judge rubric: Grade against expected.ideal_behavior and expected.rubric. Penalize failure_modes.

How many test cases does this eval pack include?+

The Workspaces Rbac Billing pack for LangSmith LangSmith 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 Workspaces Rbac Billing 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.