AutoGen + Azure OpenAI
by Microsoft · paid · Last verified 2026-03-17
Integrate the AutoGen multi-agent framework with Azure OpenAI Service to build sophisticated, enterprise-grade AI applications. This connector enables developers to leverage Azure's security features, including RBAC and private endpoints, while using all standard AutoGen agents like AssistantAgent and UserProxyAgent for complex, collaborative tasks.
https://microsoft.github.io/autogen/docs/topics/llm-configuration/ ↗B
B—Above Average
Adoption: B+Quality: AFreshness: ACitations: BEngagement: F
Specifications
- License
- MIT
- Pricing
- paid
- Capabilities
- Multi-agent conversations, Azure OpenAI model compatibility (GPT-4, etc.), Enterprise-grade security and compliance, Role-Based Access Control (RBAC) integration, Private endpoint support for secure networking, Group chat simulations with multiple agents, Automated function calling and tool execution, Human-in-the-loop workflows, Conversational code generation and execution
- Integrations
- Azure OpenAI Service, Azure Active Directory (for RBAC), Azure Virtual Network (for private endpoints), Python libraries (via code execution), External APIs (via function calling)
- Use Cases
- [object Object], [object Object], [object Object], [object Object], [object Object]
- API Available
- Yes
- Tags
- autogen, azure-openai, multi-agent-systems, llm-orchestration, enterprise-ai, conversational-ai, python, generative-ai, tool-use, rbac
- Added
- 2026-03-17
- Completeness
- 0.85%
Index Score
60.4Adoption
72
Quality
83
Freshness
85
Citations
60
Engagement
0