Crewai Enterprise And Deployment
CrewAI · CrewAI
Multi-agent Framework — CrewAI
CrewAI evals — CrewAI Enterprise & Deployment (relift v3 InfraRed)
About CrewAI
CrewAI is a multi-agent orchestration framework — role-playing Agents, Tasks, Crews (sequential/hierarchical/consensual processes), and Flows (declarative @start/@listen/@router state graphs) for production agent workflows; with a commercial CrewAI Enterprise tier offering UI Studio, deployment, secrets/RBAC, observability, and an on-prem option.
Sample tests· showing 3 of 10
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | Operator builds a Crew in code, then redeploys to CrewAI Enterprise UI Studio. The Studio reads from a connected git repo. | Deployment binds to a specific git ref (commit SHA preferred over branch). Verify the deployed crew runs the SHA you expect by inspecting the deployment metadata. Pin the ref for prod — branch tracking drifts under concurrent merges. | Pass / FailAi Platformhigh |
| 02 | Operator stores OPENAI_API_KEY and SERPER_API_KEY in CrewAI Enterprise's secrets manager. | Secrets are encrypted at rest and injected into the crew's environment at runtime — never logged in run output. Verify by reading a run log and checking the secret value does not appear. Rotate via the UI Studio + invalidate the old key at the provider in lockstep. | Pass / FailAi Platformcritical |
| 03 | Enterprise dashboards show runs, costs, and traces. Operator wants to export traces to their own OTel collector. | Span schema for downstream exporters is [REQUIRES-VERIFICATION] — confirm the current export shape before pinning consumers. Wire the exporter at deployment config; tag spans with run_id, crew_id, agent role, task id. Don't assume vendor schema is stable across releases. | 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
- Crewai
- Ai Platform
- Crewai Enterprise And Deployment
Recommended for
Works with
Related evals
Run this eval in your workspace
Connect your data, configure thresholds, and review results with your team.