agent-framework-chatkit
OpenAI ChatKit integration for Microsoft Agent Framework.
Decision gist · record as of 2026-08-14
Yes, if you are building an Agent Framework agent and want to expose it through ChatKit's UI. The package is actively maintained, has low install friction, and provides the exact integration layer needed. However, be aware that ChatKit's frontend requires internet connectivity to OpenAI's CDN—this is a hard blocker for air-gapped or highly regulated environments. The package is still in beta; verify that the threading and streaming behavior meets your production requirements before committing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10+.
- ChatKit frontend requires internet connectivity to OpenAI's CDN (cdn.platform.openai.com); not suitable for air-gapped environments.
- Low friction install with two direct dependencies.
License · maintenance · safety
permissive license (permissive) — MIT license (permissive). No restrictions on commercial or private use.
last release 2026-07-30 (15 days) · last repo commit 2026-08-14 · 12,804 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 444,031 downloads/mo, #6,625 on PyPI
Alternatives
Verify before relying
pip install agent-framework-chatkit --pre
from agent_framework_chatkit import simple_to_agent_input, stream_agent_response
# Convert ChatKit thread items to Agent Framework messages
agent_messages = await simple_to_agent_input(thread_items)
# Stream agent responses back to ChatKit events
async for event in stream_agent_response(response_stream, thread_id):
yield event- Whether ThreadItemConverter's extensibility covers all custom message types needed in production deployments
- Performance characteristics when streaming large conversation histories through simple_to_agent_input
- Compatibility guarantees between agent-framework-core and openai-chatkit versions
What it is and what it does
This package is a bridge layer that lets you run a Microsoft Agent Framework agent as the backend for an OpenAI ChatKit chat interface. It handles the translation between the two systems: converting ChatKit thread messages into the format Agent Framework expects, and converting Agent Framework's streamed responses back into ChatKit events that the frontend can display.
The package provides three main helpers: `simple_to_agent_input` to quickly convert a ChatKit thread into Agent Framework messages, `stream_agent_response` to stream agent outputs back to ChatKit, and `ThreadItemConverter` as an extensible class for custom message transformations. It depends on agent-framework-core and openai-chatkit. The frontend UI itself requires internet access to OpenAI's CDN and is not self-hostable, though the backend components are fully open source.
Use it for
- Build a chat application where an Agent Framework agent with custom tools responds to user messages through a ChatKit UI.
- Stream long-running agent operations (tool calls, reasoning steps) to a ChatKit frontend in real time.
- Convert existing ChatKit thread history into Agent Framework message format to maintain conversation context across agent runs.
- Extend ThreadItemConverter to handle domain-specific message types or metadata from ChatKit threads.
- Deploy an agentic backend that integrates with OpenAI's ChatKit platform without building custom frontend code.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building an Agent Framework agent and want to expose it through ChatKit's UI.
The package is actively maintained, has low install friction, and provides the exact integration layer needed. However, be aware that ChatKit's frontend requires internet connectivity to OpenAI's CDN—this is a hard blocker for air-gapped or highly regulated environments. The package is still in beta; verify that the threading and streaming behavior meets your production requirements before committing.
Install
agent-framework-chatkit on PyPI
Before you install
Low friction install with two direct dependencies. Package is in beta (version 1.0.0b260730) but actively maintained—released 15 days ago with recent commits. Supports Python 3.10 through 3.13.
Requires Python 3.10+. ChatKit frontend requires internet connectivity to OpenAI's CDN (cdn.platform.openai.com); not suitable for air-gapped environments.
License in practice
MIT license (permissive). No restrictions on commercial or private use.
Quickstart
pip install agent-framework-chatkit --pre
from agent_framework_chatkit import simple_to_agent_input, stream_agent_response
# Convert ChatKit thread items to Agent Framework messages
agent_messages = await simple_to_agent_input(thread_items)
# Stream agent responses back to ChatKit events
async for event in stream_agent_response(response_stream, thread_id):
yield eventVerify before relying
- Whether ThreadItemConverter's extensibility covers all custom message types needed in production deployments
- Performance characteristics when streaming large conversation histories through simple_to_agent_input
- Compatibility guarantees between agent-framework-core and openai-chatkit versions
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesagent-framework-coreopenai-chatkit |
| Maintenance | Actively maintained 15 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 444,031 / month, #6,625 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 :: 3.13Typing :: Typed |
Evidence: agent_framework_chatkit-1.0.0b260730-py3-none-any.whl
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See also openai-chatkit · agent-framework-openai · agent-framework · agent-framework-core · agent-framework-devui · llama-index-agent-openai · openai-agents · agent-framework-ag-ui · livekit-plugins-azure · assistant-stream