{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/3"}],"enrichment":{"capability":"Bridges Microsoft Agent Framework agents with OpenAI ChatKit, converting between Agent Framework message formats and ChatKit thread events for integrated agentic chat applications.","skillfed_tags":["agent-framework","chatkit-integration","streaming-chat"],"use_cases":["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."],"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.\n\nThe 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.","worth_installing":"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\u2014this 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."},"id":"agent-framework-chatkit","links":{"html":"https://skillfed.io/packages/agent-framework-chatkit","md":"https://skillfed.io/packages/agent-framework-chatkit.md","pypi":"https://pypi.org/project/agent-framework-chatkit/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-30","license_spdx":null,"license_treatment":"permissive","name":"agent-framework-chatkit","python_support":"supports_current","summary":"OpenAI ChatKit integration for Microsoft Agent Framework."},"popularity":{"monthly_downloads":444031,"position":6625,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.0.0b260730"}
