OpenAI chatkit support for Google ADK

This repository provides the backend support for openai/chatkit-js (https://github.com/openai/chatkit-js) for Google ADK based agentic applications.

It uses and extends openai/chatkit-python (https://github.com/openai/chatkit-python) by providing

• ADKStore that wraps BaseSessionService
• A function (stream_agent_response) that translate ADK events into chatkit events
• Provides support to render widgets
  • See examples/backend/src/backend/agents/facts/_tools.py::get_weather
• Provides support for making calls to client tools.
  • Client tools typically run in browser
  • See examples/backend/src/backend/agents/facts/_tools.py::switch_theme

TODO:

• Support for attachments / artifacts

Install

uv add adk-chatkit

Running examples

Make sure you open this repository in vscode devcontainer and all dependencies will be setup for you

# At the root of the repository
# fill in your configuration / settings
cp .env.example .env

There is one backend and one frontend that hosts 4 agents (chatkit servers) and their corresponding user interface.

# Run the backend
uv run poe run-example-backend

# Run the frontend
uv run poe run-example-frontend

Usage

See examples for full usage

from adk_chatkit import ADKAgentContext, ADKContext, ADKStore, ChatkitRunConfig, stream_agent_response

class FactsChatkitServer(ChatKitServer[ADKContext]):
    def __init__(
        self,
        store: ADKStore,
        runner_manager: RunnerManager,
        settings: Settings,
    ) -> None:
        super().__init__(store)
        agent = _make_facts_agent(settings)
        self._runner = runner_manager.add_runner(settings.FACTS_APP_NAME, agent)

    async def respond(
        self,
        thread: ThreadMetadata,
        item: UserMessageItem | None,
        context: ADKContext,
    ) -> AsyncIterator[ThreadStreamEvent]:
        if item is None:
            return

        if _is_tool_completion_item(item):
            return

        message_text = _user_message_text(item)
        if not message_text:
            return

        agent_context = ADKAgentContext(
            app_name=context.app_name,
            user_id=context.user_id,
            thread=thread,
        )

        event_stream = self._runner.run_async(
            user_id=context.user_id,
            session_id=thread.id,
            new_message=content,
            run_config=ChatkitRunConfig(streaming_mode=StreamingMode.SSE, context=agent_context),
        )

        async for event in stream_agent_response(agent_context, event_stream):
            yield event

Examples applications

There are 4 example applications (3 are ported from https://github.com/openai/openai-chatkit-advanced-samples)

Facts & Guide

• Shows Fact Recording
• Displays Weather using Widget
• Theme Switching

http://localhost:5173/guide

Customer Support

• Airline Reservation Management
• Change Seat
• Add bags

http://localhost:5171/customer-support

Knowledge Assistant

• Answers questions based on files and vector store
• Shows files and citations

http://localhost:5171/knowledge

Widget Gallery

• Shows various widgets and how to process actions