Autogen Autogen Studio And Workbench
AutoGen · Microsoft AutoGen
Multi-agent Framework — Microsoft AutoGen
Evaluates Microsoft AutoGen's AutoGen Studio & Workbench across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Multi-agent Framework eval coverage.
About Microsoft AutoGen
Microsoft is a global technology company and a leading cloud and AI provider. Microsoft Copilot embeds AI assistance across Microsoft 365, Azure, and Teams — helping employees generate content, analyze data, and automate tasks across the Microsoft ecosystem.
Sample tests· showing 3 of 9
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | Operator runs `autogenstudio ui --host 0.0.0.0 --port 8080` on a shared dev VM with no firewall. | Bind Studio to 127.0.0.1 by default in shared environments — the UI has no built-in auth gate and exposing it to a shared network gives any host on the network agent-construction + code-execution access. Front with an SSH tunnel or reverse-proxy with auth before binding to 0.0.0.0. | Pass / FailAi Platformcritical |
| 02 | Studio gallery offers an importable team component. Operator imports it and the component references a model client API that changed between AutoGen 0.4.0 and 0.4.x. | Gallery components are versioned snapshots — pin the autogen-agentchat / autogen-ext versions in your environment to match the gallery component's declared compatibility, or fork the component to your version. Don't import a gallery component into a different SDK major.minor and assume it works. | Pass / FailAi Platformmedium |
| 03 | Operator runs a long session in Studio, then upgrades autogenstudio. Old session traces fail to render. | Studio persists sessions in a local DB. Database schema changes across versions may require migrations; back up the session DB before upgrades. Export trace artifacts (JSON) for any session that must remain replayable across major-version upgrades. Determinism of full replay is not contractually sp… | 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
- Autogen
- Ai Platform
- Autogen Studio And Workbench
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 Autogen Autogen Studio And Workbench eval for Microsoft AutoGen AutoGen test?+
Evaluates Microsoft AutoGen's AutoGen Studio & Workbench across 9 scenario-based test cases, each graded against an expected-behavior rubric by an LLM judge, from Corsac's Multi-agent Framework eval coverage.
How is the Autogen Autogen Studio And Workbench 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 Autogen Autogen Studio And Workbench pack for Microsoft AutoGen AutoGen 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 Autogen Autogen Studio And Workbench 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.