agent-framework-devui
Debug UI for Microsoft Agent Framework with OpenAI-compatible API server.
Decision gist · record as of 2026-08-14
Yes, if you are developing or prototyping agents and want a quick, low-friction way to test them locally. The permissive MIT license, low install friction, and active maintenance make it a practical development tool. However, do not use it for production—it is explicitly a sample app, and the documentation recommends building your own custom interface for production deployments.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- OpenAI API credentials must be configured for agent execution.
- Low install friction with a pure-Python wheel distribution.
License · maintenance · safety
permissive license (permissive) — Licensed under MIT (permissive), allowing use, modification, and distribution with minimal restrictions.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 12,803 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 713,559 downloads/mo, #5,252 on PyPI
Alternatives
Verify before relying
pip install agent-framework-devui --pre
from agent_framework_devui import serve
from agent_framework_core import Agent
agent = Agent(name="MyAgent")
serve(entities=[agent], auto_open=True)- Whether the sample entity gallery examples are comprehensive enough for typical development workflows.
- Performance characteristics when running many agents or workflows concurrently through the UI.
- Whether MCP tool connection cleanup is reliable across all shutdown scenarios.
- Production readiness and scalability beyond the stated sample app scope.
What it is and what it does
DevUI is a sample application interface that provides both a web UI and an OpenAI-compatible REST API for running agents and workflows. It supports directory-based discovery of agent definitions, in-memory entity registration, and includes a curated gallery of sample entities to help new users get started. The UI runs on localhost with token-based authentication and can be launched either programmatically via the serve() function or from the command line with the devui CLI tool.
The package is built on fastapi and uvicorn and integrates with opentelemetry-sdk for trace visibility. It is explicitly positioned as a development and testing tool, not a production deployment platform. It supports multi-turn conversations, OpenAI proxy mode for direct model testing, and automatic cleanup of resources like MCP tool connections.
Use it for
- Test and debug agents locally during development without building a custom UI.
- Discover and run pre-built agent examples to learn the framework.
- Expose agents via an OpenAI-compatible API for integration testing or prototyping.
- View OpenTelemetry traces of agent execution to troubleshoot behavior.
- Run multi-turn conversations with agents while managing message history automatically.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are developing or prototyping agents and want a quick, low-friction way to test them locally.
The permissive MIT license, low install friction, and active maintenance make it a practical development tool. However, do not use it for production—it is explicitly a sample app, and the documentation recommends building your own custom interface for production deployments.
Install
agent-framework-devui on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. The package is actively maintained with a recent release and depends on established libraries (fastapi, uvicorn, opentelemetry-sdk, openai, agent-framework-core).
Requires Python 3.10 or later. OpenAI API credentials must be configured for agent execution.
License in practice
Licensed under MIT (permissive), allowing use, modification, and distribution with minimal restrictions.
Quickstart
pip install agent-framework-devui --pre
from agent_framework_devui import serve
from agent_framework_core import Agent
agent = Agent(name="MyAgent")
serve(entities=[agent], auto_open=True)Verify before relying
- Whether the sample entity gallery examples are comprehensive enough for typical development workflows.
- Performance characteristics when running many agents or workflows concurrently through the UI.
- Whether MCP tool connection cleanup is reliable across all shutdown scenarios.
- Production readiness and scalability beyond the stated sample app scope.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesagent-framework-coreopenaiopentelemetry-sdkfastapiuvicorn |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 713,559 / month, #5,252 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Typing :: Typed |
Evidence: agent_framework_devui-1.0.0b260813-py3-none-any.whl
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See also agent-framework · agent-framework-openai · agent-framework-core · agent-framework-ag-ui · openai-agents · agent-framework-chatkit · opentelemetry-instrumentation-openai-agents · knx-frontend · exa-py · metaphor-python