azure-ai-agentserver-agentframework
Agents server adapter for Azure AI
Decision gist · record as of 2026-08-14
Yes, if you have an existing Agent-framework agent and want to host it on Azure with minimal code changes. The low install friction, active maintenance, and straightforward API make it practical. However, verify the license terms before use, and be aware the package is in beta—expect potential API changes. Not suitable if you need a stable, production-hardened adapter or are not targeting Azure.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; your agent must be compatible with the adapter.
- Low friction install with a pure-Python wheel.
- Active maintenance status and recent commits suggest ongoing support, though the package is in beta (Development Status 4) and has been in circulation for less than a year.
License · maintenance · safety
(unclear) — License treatment is unclear—no SPDX identifier or raw license text is recorded. Verify the actual license terms in the repository before adopting in a commercial or restricted-distribution context.
last release 2026-03-16 (151 days) · last repo commit 2026-08-14 · 5,588 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 106,812 downloads/mo, #12,638 on PyPI
Alternatives
Verify before relying
pip install azure-ai-agentserver-agentframework
from azure.ai.agentserver.agentframework import from_agent_framework
# Wrap and run an existing agent
from_agent_framework(agent).run()- What license governs this package (MIT, Apache-2.0, proprietary, or other)?
- Does the package require Azure credentials or subscription setup beyond local testing?
- What observability/telemetry does opentelemetry-exporter-otlp-proto-grpc integration enable by default?
- What is the expected API stability timeline given the beta status?
What it is and what it does
This package is an adapter that wraps an existing Agent-framework agent for deployment on Azure AI Agent Server. It bridges the gap between a local agent implementation and cloud hosting, allowing you to expose your agent as an HTTP service with a single method call. The adapter handles the boilerplate of server setup and Azure integration, including telemetry export via opentelemetry-exporter-otlp-proto-grpc.
The package is designed for developers who have already built an agent using agent-framework-core or agent-framework-azure-ai and want to move it to Azure without rewriting it. It runs locally on port 8088 for testing and can be deployed to Azure AI Foundry for production use. The beta status and recent activity suggest the API may evolve, but the core workflow is straightforward.
Use it for
- Migrate an existing Agent-framework agent to Azure AI Agent Server for cloud hosting.
- Test a local agent before deploying it to Azure, using the local HTTP endpoint.
- Integrate OpenTelemetry observability into your agent for monitoring and debugging.
- Expose an agent as an HTTP service without writing custom server boilerplate.
- Debug deployment issues by comparing local behavior against cloud logs in Application Insights.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you have an existing Agent-framework agent and want to host it on Azure with minimal code changes.
The low install friction, active maintenance, and straightforward API make it practical. However, verify the license terms before use, and be aware the package is in beta—expect potential API changes. Not suitable if you need a stable, production-hardened adapter or are not targeting Azure.
Install
azure-ai-agentserver-agentframework on PyPI
Before you install
Low friction install with a pure-Python wheel. Active maintenance status and recent commits suggest ongoing support, though the package is in beta (Development Status 4) and has been in circulation for less than a year.
Requires Python 3.10 or later; your agent must be compatible with the adapter.
License in practice
License treatment is unclear—no SPDX identifier or raw license text is recorded. Verify the actual license terms in the repository before adopting in a commercial or restricted-distribution context.
Quickstart
pip install azure-ai-agentserver-agentframework
from azure.ai.agentserver.agentframework import from_agent_framework
# Wrap and run an existing agent
from_agent_framework(agent).run()Verify before relying
- What license governs this package (MIT, Apache-2.0, proprietary, or other)?
- Does the package require Azure credentials or subscription setup beyond local testing?
- What observability/telemetry does opentelemetry-exporter-otlp-proto-grpc integration enable by default?
- What is the expected API stability timeline given the beta status?
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesazure-ai-agentserver-coreagent-framework-azure-aiagent-framework-coreopentelemetry-exporter-otlp-proto-grpc |
| Maintenance | Actively maintained 151 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 106,812 / month, #12,638 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: azure_ai_agentserver_agentframework-1.0.0b17-py3-none-any.whl
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See also azure-ai-agentserver-core · agent-framework-azure-ai · agent-framework · azure-ai-agentserver-invocations · agent-framework-foundry-hosting · agent-framework-azurefunctions · azure-ai-agentserver-responses · agent-framework-core · agent-framework-ollama · microsoft-agents-hosting-aiohttp