Autogen Model Clients And Providers
AutoGen · Microsoft AutoGen
Multi-agent Framework — Microsoft AutoGen
Evaluates Microsoft AutoGen's Model Clients & Providers 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 instantiates OpenAIChatCompletionClient(model='custom-llama-v1') against a self-hosted endpoint but omits model_info=. Tool calling silently fails. | For non-OpenAI-canonical model names, pass model_info={'vision': bool, 'function_calling': bool, 'json_output': bool, 'family': '...'} so AutoGen knows what capabilities the model exposes. Without model_info on unknown models, capability checks (tool calling, structured output) default conservative… | Pass / FailAi Platformhigh |
| 02 | Operator wants per-token streaming in the UI. Uses model_client_stream=True on the AssistantAgent and iterates team.run_stream(). | Set model_client_stream=True on the agent so model deltas surface as ModelClientStreamingChunkEvent in run_stream. UI must render chunk events as they arrive; final message arrives as a normal ChatMessage at end of stream. Don't ignore chunk events and wait for ChatMessage only — that loses the str… | Pass / FailAi Platformmedium |
| 03 | Operator constructs AzureOpenAIChatCompletionClient with api_key= directly instead of Azure AD token provider. | Use azure_ad_token_provider with DefaultAzureCredential (or a workload-specific credential) so the client picks up managed-identity / workload-identity in production. Set api_version explicitly to a pinned preview/GA value. Hardcoded api_keys are fine for dev but a production smell. | Pass / FailAi Platformhigh |
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
- Model Clients And Providers
Recommended for
Works with
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ViewFrequently asked questions
What does the Autogen Model Clients And Providers eval for Microsoft AutoGen AutoGen test?+
Evaluates Microsoft AutoGen's Model Clients & Providers 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 Model Clients And Providers 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 Model Clients And Providers 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 Model Clients And Providers 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.