From 78da4ce250c623504084bc5b019750c0e3bc90fe Mon Sep 17 00:00:00 2001 From: Eric Zhu Date: Tue, 7 Oct 2025 12:02:44 -0700 Subject: [PATCH 01/29] feat: Add ChatKit integration with a new frontend application - Created a new frontend application using React and Vite for the ChatKit integration. - Added essential files including package.json, vite.config.ts, and Tailwind CSS configuration. - Implemented core components: App, Home, ChatKitPanel, ThemeToggle, and hooks for color scheme management. - Established SQLite-based store implementation for ChatKit data persistence in store.py. - Integrated theme toggling functionality for light and dark modes. - Set up ESLint and TypeScript configurations for better development experience. --- python/.pre-commit-config.yaml | 2 +- python/packages/chatkit/.gitignore | 2 + python/packages/chatkit/LICENSE | 21 + python/packages/chatkit/README.md | 87 + .../agent_framework_chatkit/__init__.py | 25 + .../agent_framework_chatkit/_converter.py | 94 + .../agent_framework_chatkit/_streaming.py | 89 + python/packages/chatkit/pyproject.toml | 86 + python/packages/chatkit/tests/__init__.py | 1 + .../packages/chatkit/tests/test_converter.py | 137 + .../packages/chatkit/tests/test_streaming.py | 127 + .../core/agent_framework/chatkit/__init__.py | 23 + .../core/agent_framework/chatkit/__init__.pyi | 10 + python/samples/chatkit-integration/.gitignore | 95 + python/samples/chatkit-integration/README.md | 236 + .../samples/chatkit-integration/__init__.py | 1 + python/samples/chatkit-integration/app.py | 186 + .../frontend/eslint.config.js | 35 + .../chatkit-integration/frontend/index.html | 13 + .../frontend/package-lock.json | 4912 +++++++++++++++++ .../chatkit-integration/frontend/package.json | 43 + .../frontend/postcss.config.cjs | 6 + .../chatkit-integration/frontend/src/App.tsx | 18 + .../frontend/src/components/ChatKitPanel.tsx | 56 + .../frontend/src/components/Home.tsx | 47 + .../frontend/src/components/ThemeToggle.tsx | 47 + .../frontend/src/hooks/useColorScheme.ts | 45 + .../frontend/src/index.css | 19 + .../chatkit-integration/frontend/src/main.tsx | 16 + .../frontend/src/vite-env.d.ts | 1 + .../frontend/tailwind.config.ts | 23 + .../frontend/tsconfig.json | 21 + .../frontend/tsconfig.node.json | 10 + .../frontend/vite.config.ts | 24 + python/samples/chatkit-integration/store.py | 359 ++ python/uv.lock | 75 +- 36 files changed, 6990 insertions(+), 2 deletions(-) create mode 100644 python/packages/chatkit/.gitignore create mode 100644 python/packages/chatkit/LICENSE create mode 100644 python/packages/chatkit/README.md create mode 100644 python/packages/chatkit/agent_framework_chatkit/__init__.py create mode 100644 python/packages/chatkit/agent_framework_chatkit/_converter.py create mode 100644 python/packages/chatkit/agent_framework_chatkit/_streaming.py create mode 100644 python/packages/chatkit/pyproject.toml create mode 100644 python/packages/chatkit/tests/__init__.py create mode 100644 python/packages/chatkit/tests/test_converter.py create mode 100644 python/packages/chatkit/tests/test_streaming.py create mode 100644 python/packages/core/agent_framework/chatkit/__init__.py create mode 100644 python/packages/core/agent_framework/chatkit/__init__.pyi create mode 100644 python/samples/chatkit-integration/.gitignore create mode 100644 python/samples/chatkit-integration/README.md create mode 100644 python/samples/chatkit-integration/__init__.py create mode 100644 python/samples/chatkit-integration/app.py create mode 100644 python/samples/chatkit-integration/frontend/eslint.config.js create mode 100644 python/samples/chatkit-integration/frontend/index.html create mode 100644 python/samples/chatkit-integration/frontend/package-lock.json create mode 100644 python/samples/chatkit-integration/frontend/package.json create mode 100644 python/samples/chatkit-integration/frontend/postcss.config.cjs create mode 100644 python/samples/chatkit-integration/frontend/src/App.tsx create mode 100644 python/samples/chatkit-integration/frontend/src/components/ChatKitPanel.tsx create mode 100644 python/samples/chatkit-integration/frontend/src/components/Home.tsx create mode 100644 python/samples/chatkit-integration/frontend/src/components/ThemeToggle.tsx create mode 100644 python/samples/chatkit-integration/frontend/src/hooks/useColorScheme.ts create mode 100644 python/samples/chatkit-integration/frontend/src/index.css create mode 100644 python/samples/chatkit-integration/frontend/src/main.tsx create mode 100644 python/samples/chatkit-integration/frontend/src/vite-env.d.ts create mode 100644 python/samples/chatkit-integration/frontend/tailwind.config.ts create mode 100644 python/samples/chatkit-integration/frontend/tsconfig.json create mode 100644 python/samples/chatkit-integration/frontend/tsconfig.node.json create mode 100644 python/samples/chatkit-integration/frontend/vite.config.ts create mode 100644 python/samples/chatkit-integration/store.py diff --git a/python/.pre-commit-config.yaml b/python/.pre-commit-config.yaml index b00f87602d..11dc3be725 100644 --- a/python/.pre-commit-config.yaml +++ b/python/.pre-commit-config.yaml @@ -14,7 +14,7 @@ repos: - id: check-json name: Check JSON files files: \.json$ - exclude: ^.*\.vscode\/.* + exclude: ^.*\.vscode\/.*|^python/samples/chatkit-integration/frontend/(tsconfig.*\.json|package-lock\.json)$ - id: end-of-file-fixer name: Fix End of File files: \.py$ diff --git a/python/packages/chatkit/.gitignore b/python/packages/chatkit/.gitignore new file mode 100644 index 0000000000..91480eb8dd --- /dev/null +++ b/python/packages/chatkit/.gitignore @@ -0,0 +1,2 @@ +chatkit-python +openai-chatkit-advanced-samples \ No newline at end of file diff --git a/python/packages/chatkit/LICENSE b/python/packages/chatkit/LICENSE new file mode 100644 index 0000000000..ce29e72a36 --- /dev/null +++ b/python/packages/chatkit/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) Microsoft Corporation. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. \ No newline at end of file diff --git a/python/packages/chatkit/README.md b/python/packages/chatkit/README.md new file mode 100644 index 0000000000..72f41d88cc --- /dev/null +++ b/python/packages/chatkit/README.md @@ -0,0 +1,87 @@ +# Agent Framework and ChatKit Integration + +This package provides an integration layer between Microsoft Agent Framework +and [OpenAI ChatKit (Python)](https://github.com/openai/chatkit-python/). +Specifically, it mirrors the [Agent SDK integration](https://github.com/openai/chatkit-python/blob/main/docs/server.md#agents-sdk-integration), and provides the following helpers: + +- `stream_agent_response`: A helper to converted a streamed `AgentRunResponseUpdate` + from a Microsoft Agent Framework agent that implements `AgentProtocol` to ChatKit events. +- `ThreadItemConverter`: A extendable helper class to convert ChatKit thread items to + `ChatMessage` objects that can be consumed by an Agent Framework agent. +- `simple_to_agent_input`: A helper function that uses the default implementation + of `ThreadItemConverter` to convert a ChatKit thread to a list of `ChatMessage`, + useful for getting started quickly. + +## Installation + +```bash +pip install agent-framework-chatkit --pre +``` + +This will install `agent-framework-core` and `openai-chatkit` as dependencies. + +## Example Usage + +Here's a minimal example showing how to integrate Agent Framework with ChatKit: + +```python +from collections.abc import AsyncIterator +from typing import Any + +from azure.identity import AzureCliCredential +from fastapi import FastAPI, Request +from fastapi.responses import Response, StreamingResponse + +from agent_framework import ChatAgent +from agent_framework.azure import AzureOpenAIChatClient +from agent_framework.chatkit import simple_to_agent_input, stream_agent_response + +from chatkit.server import ChatKitServer +from chatkit.types import ThreadMetadata, UserMessageItem, ThreadStreamEvent + +# You'll need to implement a Store - see the sample for a SQLiteStore implementation +from your_store import YourStore # Replace with your Store implementation + +# Define your agent with tools +agent = ChatAgent( + chat_client=AzureOpenAIChatClient(credential=AzureCliCredential()), + instructions="You are a helpful assistant.", + tools=[], # Add your tools here +) + +# Create a ChatKit server that uses your agent +class MyChatKitServer(ChatKitServer[dict[str, Any]]): + async def respond( + self, + thread: ThreadMetadata, + input_user_message: UserMessageItem | None, + context: dict[str, Any], + ) -> AsyncIterator[ThreadStreamEvent]: + if input_user_message is None: + return + + # Convert ChatKit message to Agent Framework format + agent_messages = await simple_to_agent_input(input_user_message) + + # Run the agent and stream responses + response_stream = agent.run_stream(agent_messages) + + # Convert agent responses back to ChatKit events + async for event in stream_agent_response(response_stream, thread.id): + yield event + +# Set up FastAPI endpoint +app = FastAPI() +chatkit_server = MyChatKitServer(YourStore()) + +@app.post("/chatkit") +async def chatkit_endpoint(request: Request): + result = await chatkit_server.process(await request.body(), {"request": request}) + + if hasattr(result, '__aiter__'): # Streaming + return StreamingResponse(result, media_type="text/event-stream") # type: ignore[arg-type] + else: # Non-streaming + return Response(content=result.json, media_type="application/json") # type: ignore[union-attr] +``` + +For a complete end-to-end example with a full frontend, see the [weather agent sample](../../samples/chatkit-integration/README.md). diff --git a/python/packages/chatkit/agent_framework_chatkit/__init__.py b/python/packages/chatkit/agent_framework_chatkit/__init__.py new file mode 100644 index 0000000000..8c01a6dfad --- /dev/null +++ b/python/packages/chatkit/agent_framework_chatkit/__init__.py @@ -0,0 +1,25 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Agent Framework and ChatKit Integration. + +This package provides an integration layer between Microsoft Agent Framework +and OpenAI ChatKit (Python). It mirrors the Agent SDK integration and provides +helpers to convert between Agent Framework and ChatKit types. +""" + +import importlib.metadata + +from ._converter import ThreadItemConverter, simple_to_agent_input +from ._streaming import stream_agent_response + +try: + __version__ = importlib.metadata.version(__name__) +except importlib.metadata.PackageNotFoundError: + __version__ = "0.0.0" # Fallback for development mode + +__all__ = [ + "ThreadItemConverter", + "__version__", + "simple_to_agent_input", + "stream_agent_response", +] diff --git a/python/packages/chatkit/agent_framework_chatkit/_converter.py b/python/packages/chatkit/agent_framework_chatkit/_converter.py new file mode 100644 index 0000000000..91ce509dcf --- /dev/null +++ b/python/packages/chatkit/agent_framework_chatkit/_converter.py @@ -0,0 +1,94 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Converter utilities for converting ChatKit thread items to Agent Framework messages.""" + +from typing import Any + +from agent_framework import ChatMessage, Role +from chatkit.types import UserMessageItem + + +class ThreadItemConverter: + """Helper class to convert ChatKit thread items to Agent Framework ChatMessage objects. + + This class provides a base implementation for converting ChatKit thread items + to Agent Framework messages. It can be extended to handle attachments, + @-mentions, hidden context items, and custom thread item formats. + """ + + async def to_agent_input(self, input_item: UserMessageItem | None) -> list[ChatMessage]: + """Convert a ChatKit UserMessageItem to a list of Agent Framework ChatMessage objects. + + Args: + input_item: The ChatKit user message item to convert. + + Returns: + A list of ChatMessage objects that can be consumed by an Agent Framework agent. + """ + if input_item is None: + return [] + + # Extract text content from the user message + text_content = "" + if input_item.content: + for content_part in input_item.content: + if hasattr(content_part, "text"): + text_content += content_part.text + + if not text_content.strip(): + return [] + + return [ChatMessage(role=Role.USER, text=text_content.strip())] + + async def attachment_to_message_content(self, attachment: Any) -> Any: + """Convert a ChatKit attachment to Agent Framework message content. + + This is a placeholder method that should be overridden in subclasses + to handle specific attachment types and storage implementations. + + Args: + attachment: The ChatKit attachment to convert. + + Returns: + Agent Framework message content representing the attachment. + """ + raise NotImplementedError("Subclasses should implement attachment handling") + + def hidden_context_to_input(self, item: Any) -> ChatMessage: + """Convert a ChatKit HiddenContextItem to an Agent Framework ChatMessage. + + Args: + item: The ChatKit hidden context item to convert. + + Returns: + A ChatMessage with system role containing the hidden context. + """ + return ChatMessage(role=Role.SYSTEM, text=f"{item.content}") + + def tag_to_message_content(self, tag: Any) -> str: + """Convert a ChatKit tag (@-mention) to message content. + + Args: + tag: The ChatKit tag to convert. + + Returns: + String representation of the tag for inclusion in message content. + """ + return f"Name:{getattr(tag.data, 'name', 'unknown')}" + + +async def simple_to_agent_input(input_item: UserMessageItem | None) -> list[ChatMessage]: + """Helper function that uses the default ThreadItemConverter. + + This function provides a quick way to get started with ChatKit integration + without needing to create a custom ThreadItemConverter instance. + + Args: + input_item: The ChatKit user message item to convert. + + Returns: + A list of ChatMessage objects that can be consumed by an Agent Framework agent. + """ + # Use the default converter + converter = ThreadItemConverter() + return await converter.to_agent_input(input_item) diff --git a/python/packages/chatkit/agent_framework_chatkit/_streaming.py b/python/packages/chatkit/agent_framework_chatkit/_streaming.py new file mode 100644 index 0000000000..3ef5a95609 --- /dev/null +++ b/python/packages/chatkit/agent_framework_chatkit/_streaming.py @@ -0,0 +1,89 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Streaming utilities for converting Agent Framework responses to ChatKit events.""" + +import uuid +from collections.abc import AsyncIterable, AsyncIterator, Callable +from datetime import datetime + +from agent_framework import AgentRunResponseUpdate, TextContent +from chatkit.types import ( + AssistantMessageContent, + AssistantMessageItem, + ThreadItemAddedEvent, + ThreadItemDoneEvent, + ThreadStreamEvent, +) + + +async def stream_agent_response( + response_stream: AsyncIterable[AgentRunResponseUpdate], + thread_id: str, + generate_id: Callable[[str], str] | None = None, +) -> AsyncIterator[ThreadStreamEvent]: + """Convert a streamed AgentRunResponseUpdate from Agent Framework to ChatKit events. + + This helper function takes a stream of AgentRunResponseUpdate objects from + a Microsoft Agent Framework agent and converts them to ChatKit ThreadStreamEvent + objects that can be consumed by the ChatKit UI. + + Args: + response_stream: An async iterable of AgentRunResponseUpdate objects + from an Agent Framework agent. + thread_id: The ChatKit thread ID for the conversation. + generate_id: Optional function to generate IDs for ChatKit items. + If not provided, simple incremental IDs will be used. + + Yields: + ThreadStreamEvent: ChatKit events representing the agent's response. + """ + # Use provided ID generator or create default one + if generate_id is None: + + def _default_id_generator(item_type: str) -> str: + return f"{item_type}_{uuid.uuid4().hex[:8]}" + + id_generator = _default_id_generator + else: + id_generator = generate_id + + message_id = id_generator("msg") + + # Track if we've started the message + message_started = False + accumulated_text = "" + + async for update in response_stream: + # Start the assistant message if not already started + if not message_started: + assistant_message = AssistantMessageItem( + id=message_id, + thread_id=thread_id, + type="assistant_message", + content=[], + created_at=datetime.now(), + ) + + yield ThreadItemAddedEvent(type="thread.item.added", item=assistant_message) + message_started = True + + # Process the update content + if update.contents: + for content in update.contents: + # Handle text content - only TextContent has a text attribute + if isinstance(content, TextContent) and content.text: + accumulated_text += content.text + + # Finalize the message + if message_started: + final_message = AssistantMessageItem( + id=message_id, + thread_id=thread_id, + type="assistant_message", + content=[AssistantMessageContent(type="output_text", text=accumulated_text, annotations=[])] + if accumulated_text + else [], + created_at=datetime.now(), + ) + + yield ThreadItemDoneEvent(type="thread.item.done", item=final_message) diff --git a/python/packages/chatkit/pyproject.toml b/python/packages/chatkit/pyproject.toml new file mode 100644 index 0000000000..1890970481 --- /dev/null +++ b/python/packages/chatkit/pyproject.toml @@ -0,0 +1,86 @@ +[project] +name = "agent-framework-chatkit" +description = "OpenAI ChatKit integration for Microsoft Agent Framework." +authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] +readme = "README.md" +requires-python = ">=3.10" +version = "1.0.0b251001" +license-files = ["LICENSE"] +urls.homepage = "https://aka.ms/agent-framework" +urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" +urls.release_notes = "https://github.com/microsoft/agent-framework/releases?q=tag%3Apython-1&expanded=true" +urls.issues = "https://github.com/microsoft/agent-framework/issues" +classifiers = [ + "License :: OSI Approved :: MIT License", + "Development Status :: 4 - Beta", + "Intended Audience :: Developers", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", + "Typing :: Typed", +] +dependencies = [ + "agent-framework-core", + "openai-chatkit", +] + +[tool.uv] +prerelease = "if-necessary-or-explicit" +environments = [ + "sys_platform == 'darwin'", + "sys_platform == 'linux'", + "sys_platform == 'win32'" +] + +[tool.uv-dynamic-versioning] +fallback-version = "0.0.0" +[tool.pytest.ini_options] +testpaths = 'tests' +addopts = "-ra -q -r fEX" +asyncio_mode = "auto" +asyncio_default_fixture_loop_scope = "function" +filterwarnings = [] +timeout = 120 + +[tool.ruff] +extend = "../../pyproject.toml" + +[tool.coverage.run] +omit = [ + "**/__init__.py" +] + +[tool.pyright] +extend = "../../pyproject.toml" +exclude = ['tests', 'chatkit-python', 'openai-chatkit-advanced-samples'] + +[tool.mypy] +plugins = ['pydantic.mypy'] +strict = true +python_version = "3.10" +ignore_missing_imports = true +disallow_untyped_defs = true +no_implicit_optional = true +check_untyped_defs = true +warn_return_any = true +show_error_codes = true +warn_unused_ignores = false +disallow_incomplete_defs = true +disallow_untyped_decorators = true + +[tool.bandit] +targets = ["agent_framework_chatkit"] +exclude_dirs = ["tests"] + +[tool.poe] +executor.type = "uv" +include = "../../shared_tasks.toml" +[tool.poe.tasks] +mypy = "mypy --config-file $POE_ROOT/pyproject.toml agent_framework_chatkit" +test = "pytest --cov=agent_framework_chatkit --cov-report=term-missing:skip-covered tests" + +[build-system] +requires = ["flit-core >= 3.11,<4.0"] +build-backend = "flit_core.buildapi" \ No newline at end of file diff --git a/python/packages/chatkit/tests/__init__.py b/python/packages/chatkit/tests/__init__.py new file mode 100644 index 0000000000..2a50eae894 --- /dev/null +++ b/python/packages/chatkit/tests/__init__.py @@ -0,0 +1 @@ +# Copyright (c) Microsoft. All rights reserved. diff --git a/python/packages/chatkit/tests/test_converter.py b/python/packages/chatkit/tests/test_converter.py new file mode 100644 index 0000000000..61eeea328e --- /dev/null +++ b/python/packages/chatkit/tests/test_converter.py @@ -0,0 +1,137 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Tests for ChatKit to Agent Framework converter utilities.""" + +from unittest.mock import Mock + +import pytest +from agent_framework import ChatMessage, Role + +from agent_framework_chatkit import ThreadItemConverter, simple_to_agent_input + + +class TestThreadItemConverter: + """Tests for ThreadItemConverter class.""" + + @pytest.fixture + def converter(self): + """Create a ThreadItemConverter instance for testing.""" + return ThreadItemConverter() + + async def test_to_agent_input_none(self, converter): + """Test converting None input returns empty list.""" + result = await converter.to_agent_input(None) + assert result == [] + + async def test_to_agent_input_with_text(self, converter): + """Test converting user message with text content.""" + # Mock a ChatKit UserMessageItem + content_part = Mock() + content_part.text = "Hello, how can you help me?" + + input_item = Mock() + input_item.content = [content_part] + + result = await converter.to_agent_input(input_item) + + assert len(result) == 1 + assert isinstance(result[0], ChatMessage) + assert result[0].role == Role.USER + assert result[0].text == "Hello, how can you help me?" + + async def test_to_agent_input_empty_text(self, converter): + """Test converting user message with empty or whitespace-only text.""" + content_part = Mock() + content_part.text = " " + + input_item = Mock() + input_item.content = [content_part] + + result = await converter.to_agent_input(input_item) + assert result == [] + + async def test_to_agent_input_no_content(self, converter): + """Test converting user message with no content.""" + input_item = Mock() + input_item.content = None + + result = await converter.to_agent_input(input_item) + assert result == [] + + async def test_to_agent_input_multiple_content_parts(self, converter): + """Test converting user message with multiple text content parts.""" + content_part1 = Mock() + content_part1.text = "Hello " + + content_part2 = Mock() + content_part2.text = "world!" + + input_item = Mock() + input_item.content = [content_part1, content_part2] + + result = await converter.to_agent_input(input_item) + + assert len(result) == 1 + assert result[0].text == "Hello world!" + + def test_hidden_context_to_input(self, converter): + """Test converting hidden context item to ChatMessage.""" + hidden_item = Mock() + hidden_item.content = "This is hidden context information" + + result = converter.hidden_context_to_input(hidden_item) + + assert isinstance(result, ChatMessage) + assert result.role == Role.SYSTEM + assert result.text == "This is hidden context information" + + def test_tag_to_message_content(self, converter): + """Test converting tag to message content.""" + tag_data = Mock() + tag_data.name = "user123" + + tag = Mock() + tag.data = tag_data + + result = converter.tag_to_message_content(tag) + assert result == "Name:user123" + + def test_tag_to_message_content_no_name(self, converter): + """Test converting tag with no name to message content.""" + tag_data = Mock() + del tag_data.name # Remove name attribute + + tag = Mock() + tag.data = tag_data + + result = converter.tag_to_message_content(tag) + assert result == "Name:unknown" + + async def test_attachment_to_message_content_not_implemented(self, converter): + """Test that attachment conversion raises NotImplementedError.""" + with pytest.raises(NotImplementedError): + await converter.attachment_to_message_content(Mock()) + + +class TestSimpleToAgentInput: + """Tests for simple_to_agent_input helper function.""" + + async def test_simple_to_agent_input_none(self): + """Test simple conversion with None input.""" + result = await simple_to_agent_input(None) + assert result == [] + + async def test_simple_to_agent_input_with_text(self): + """Test simple conversion with text content.""" + content_part = Mock() + content_part.text = "Test message" + + input_item = Mock() + input_item.content = [content_part] + + result = await simple_to_agent_input(input_item) + + assert len(result) == 1 + assert isinstance(result[0], ChatMessage) + assert result[0].role == Role.USER + assert result[0].text == "Test message" diff --git a/python/packages/chatkit/tests/test_streaming.py b/python/packages/chatkit/tests/test_streaming.py new file mode 100644 index 0000000000..27379b29d7 --- /dev/null +++ b/python/packages/chatkit/tests/test_streaming.py @@ -0,0 +1,127 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Tests for Agent Framework to ChatKit streaming utilities.""" + +from unittest.mock import Mock + +from agent_framework import AgentRunResponseUpdate, Role, TextContent +from chatkit.types import ( + ThreadItemAddedEvent, + ThreadItemDoneEvent, +) + +from agent_framework_chatkit import stream_agent_response + + +class TestStreamAgentResponse: + """Tests for stream_agent_response function.""" + + async def test_stream_empty_response(self): + """Test streaming empty response.""" + + async def empty_stream(): + return + yield # Make it a generator + + events = [] + async for event in stream_agent_response(empty_stream(), thread_id="test_thread"): + events.append(event) + + assert len(events) == 0 + + async def test_stream_single_text_update(self): + """Test streaming single text update.""" + + async def single_update_stream(): + yield AgentRunResponseUpdate(role=Role.ASSISTANT, contents=[TextContent(text="Hello world")]) + + events = [] + async for event in stream_agent_response(single_update_stream(), thread_id="test_thread"): + events.append(event) + + # Should have: item_added, item_done + assert len(events) == 2 + + # Check event types + assert isinstance(events[0], ThreadItemAddedEvent) + assert isinstance(events[1], ThreadItemDoneEvent) + + # Check final message content + assert len(events[1].item.content) == 1 + assert events[1].item.content[0].text == "Hello world" + + async def test_stream_multiple_text_updates(self): + """Test streaming multiple text updates.""" + + async def multiple_updates_stream(): + yield AgentRunResponseUpdate(role=Role.ASSISTANT, contents=[TextContent(text="Hello ")]) + yield AgentRunResponseUpdate(role=Role.ASSISTANT, contents=[TextContent(text="world!")]) + + events = [] + async for event in stream_agent_response(multiple_updates_stream(), thread_id="test_thread"): + events.append(event) + + # Should have: item_added, item_done + assert len(events) == 2 + + # Check final accumulated text + final_message_event = events[-1] + assert isinstance(final_message_event, ThreadItemDoneEvent) + assert final_message_event.item.content[0].text == "Hello world!" + + async def test_stream_with_custom_id_generator(self): + """Test streaming with custom ID generator.""" + + def custom_id_generator(item_type: str) -> str: + return f"custom_{item_type}_123" + + async def single_update_stream(): + yield AgentRunResponseUpdate(role=Role.ASSISTANT, contents=[TextContent(text="Test")]) + + events = [] + async for event in stream_agent_response( + single_update_stream(), thread_id="test_thread", generate_id=custom_id_generator + ): + events.append(event) + + # Check that custom IDs are used + message_added_event = events[0] + assert message_added_event.item.id == "custom_msg_123" + + async def test_stream_empty_content_updates(self): + """Test streaming updates with empty content.""" + + async def empty_content_stream(): + yield AgentRunResponseUpdate(role=Role.ASSISTANT, contents=[]) + yield AgentRunResponseUpdate(role=Role.ASSISTANT, contents=None) + + events = [] + async for event in stream_agent_response(empty_content_stream(), thread_id="test_thread"): + events.append(event) + + # Should have item_added and item_done + assert len(events) == 2 + assert isinstance(events[0], ThreadItemAddedEvent) + assert isinstance(events[1], ThreadItemDoneEvent) + + # Final message should have empty content + assert len(events[1].item.content) == 0 + + async def test_stream_non_text_content(self): + """Test streaming updates with non-text content.""" + # Mock a content object without text attribute + non_text_content = Mock() + # Don't set text attribute + del non_text_content.text + + async def non_text_stream(): + yield AgentRunResponseUpdate(role=Role.ASSISTANT, contents=[non_text_content]) + + events = [] + async for event in stream_agent_response(non_text_stream(), thread_id="test_thread"): + events.append(event) + + # Should have item_added and item_done, but no content since no text + assert len(events) == 2 + assert isinstance(events[0], ThreadItemAddedEvent) + assert isinstance(events[1], ThreadItemDoneEvent) diff --git a/python/packages/core/agent_framework/chatkit/__init__.py b/python/packages/core/agent_framework/chatkit/__init__.py new file mode 100644 index 0000000000..163e6b412d --- /dev/null +++ b/python/packages/core/agent_framework/chatkit/__init__.py @@ -0,0 +1,23 @@ +# Copyright (c) Microsoft. All rights reserved. + +import importlib +from typing import Any + +PACKAGE_NAME = "agent_framework_chatkit" +PACKAGE_EXTRA = "chatkit" +_IMPORTS = ["__version__", "ThreadItemConverter", "simple_to_agent_input", "stream_agent_response"] + + +def __getattr__(name: str) -> Any: + if name in _IMPORTS: + try: + return getattr(importlib.import_module(PACKAGE_NAME), name) + except ModuleNotFoundError as exc: + raise ModuleNotFoundError( + f"The '{PACKAGE_EXTRA}' extra is not installed, please do `pip install agent-framework-{PACKAGE_EXTRA}`" + ) from exc + raise AttributeError(f"Module {PACKAGE_NAME} has no attribute {name}.") + + +def __dir__() -> list[str]: + return _IMPORTS diff --git a/python/packages/core/agent_framework/chatkit/__init__.pyi b/python/packages/core/agent_framework/chatkit/__init__.pyi new file mode 100644 index 0000000000..9bd90e638d --- /dev/null +++ b/python/packages/core/agent_framework/chatkit/__init__.pyi @@ -0,0 +1,10 @@ +# Copyright (c) Microsoft. All rights reserved. + +from agent_framework_chatkit import ( + ThreadItemConverter, + __version__, + simple_to_agent_input, + stream_agent_response, +) + +__all__ = ["ThreadItemConverter", "__version__", "simple_to_agent_input", "stream_agent_response"] diff --git a/python/samples/chatkit-integration/.gitignore b/python/samples/chatkit-integration/.gitignore new file mode 100644 index 0000000000..db7579b04e --- /dev/null +++ b/python/samples/chatkit-integration/.gitignore @@ -0,0 +1,95 @@ +# Python +__pycache__/ +*.py[cod] +*$py.class +*.so +.Python +*.egg-info/ +.installed.cfg +*.egg +.pytest_cache/ +.coverage +.hypothesis/ +*.log + +# Virtual environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# SQLite databases +*.db +*.sqlite +*.sqlite3 +chatkit_demo.db +chatkit_demo.db* + +# Azurite storage emulator files +__azurite_db_blob__.json +__azurite_db_blob_extent__.json +__blobstorage__/ +__queuestorage__/ + +# Node.js / Frontend +frontend/node_modules/ +frontend/dist/ +frontend/build/ +frontend/.vite/ +frontend/.turbo/ +frontend/coverage/ + +# npm +frontend/npm-debug.log* +frontend/yarn-debug.log* +frontend/yarn-error.log* +frontend/pnpm-debug.log* +frontend/lerna-debug.log* + +# Environment variables +frontend/.env +frontend/.env.local +frontend/.env.development.local +frontend/.env.test.local +frontend/.env.production.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +!.vscode/settings.json +!.vscode/tasks.json +!.vscode/launch.json +.idea/ +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? + +# Temporary files +*.tmp +*.temp +*.~tmp +*.~bak +.tmp/ +.temp/ + +# TypeScript +*.tsbuildinfo + +# Optional npm cache directory +.npm + +# Optional eslint cache +.eslintcache + +# Logs +logs/ +*.log + +# OS files +Thumbs.db diff --git a/python/samples/chatkit-integration/README.md b/python/samples/chatkit-integration/README.md new file mode 100644 index 0000000000..eb2f75a42e --- /dev/null +++ b/python/samples/chatkit-integration/README.md @@ -0,0 +1,236 @@ +# ChatKit Integration Sample with Weather Agent + +This sample demonstrates how to integrate Microsoft Agent Framework with OpenAI ChatKit using a weather assistant. It shows a complete full-stack application with: + +- **Backend**: FastAPI server using Agent Framework with Azure OpenAI +- **Frontend**: React + TypeScript UI using ChatKit React components +- **Features**: Weather information, current time, and a polished chat interface + +## Architecture + +``` +┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐ +│ React Frontend │ ───▶ │ FastAPI Backend │ ───▶ │ Azure OpenAI │ +│ (ChatKit UI) │ ◀─── │ (Agent Framework)│ ◀─── │ │ +└─────────────────┘ └──────────────────┘ └─────────────────┘ +``` + +## Prerequisites + +- Python 3.10+ +- Node.js 18.18+ and npm 9+ +- Azure OpenAI service configured +- Azure CLI for authentication (`az login`) + +## Setup + +### 1. Backend Setup + +Install the required Python packages: + +```bash +cd python/samples/chatkit-integration +pip install agent-framework-chatkit fastapi uvicorn azure-identity +``` + +Set your Azure OpenAI configuration: + +```bash +export AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" +export AZURE_OPENAI_API_VERSION="2024-06-01" +export AZURE_OPENAI_CHAT_DEPLOYMENT_NAME="gpt-4o" +``` + +Authenticate with Azure: + +```bash +az login +``` + +### 2. Frontend Setup + +Install the Node.js dependencies: + +```bash +cd frontend +npm install +``` + +## Running the Application + +### Start the Backend Server + +From the `chatkit-integration` directory: + +```bash +python app.py +``` + +The backend will start on `http://localhost:8001` + +### Start the Frontend Development Server + +In a new terminal, from the `frontend` directory: + +```bash +npm run dev +``` + +The frontend will start on `http://localhost:5171` + +### Access the Application + +Open your browser and navigate to: + +``` +http://localhost:5171 +``` + +You should see the Weather Assistant interface where you can: + +- Ask about weather in any location +- Get the current time +- Use the starter prompts or type your own queries + +## Features + +### Backend Components + +- **`app.py`**: Main FastAPI application with ChatKit integration +- **`store.py`**: SQLite-based store for ChatKit data persistence +- **Weather Agent**: Uses Agent Framework with Azure OpenAI to provide weather information + +### Frontend Components + +- **Modern UI**: Beautiful gradient backgrounds with dark mode support +- **ChatKit Integration**: Full-featured chat interface with streaming responses +- **Responsive Design**: Works on desktop and mobile devices +- **Theme Toggle**: Switch between light and dark modes + +## Project Structure + +``` +chatkit-integration/ +├── app.py # FastAPI backend with Agent Framework +├── store.py # SQLite store implementation +├── chatkit_demo.db # SQLite database (auto-created) +├── README.md # This file +└── frontend/ + ├── package.json # Node.js dependencies + ├── vite.config.ts # Vite configuration + ├── tsconfig.json # TypeScript configuration + ├── tailwind.config.ts # Tailwind CSS configuration + ├── index.html # HTML entry point + └── src/ + ├── main.tsx # React entry point + ├── App.tsx # Main App component + ├── index.css # Global styles + ├── components/ + │ ├── Home.tsx # Main page layout + │ ├── ChatKitPanel.tsx # ChatKit integration + │ └── ThemeToggle.tsx # Theme switcher + ├── hooks/ + │ └── useColorScheme.ts # Theme management + └── lib/ + └── config.ts # Configuration constants +``` + +## Configuration + +### Backend Environment Variables + +- `AZURE_OPENAI_ENDPOINT`: Your Azure OpenAI endpoint URL +- `AZURE_OPENAI_API_VERSION`: API version (e.g., "2024-06-01") +- `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`: Your chat model deployment name + +### Frontend Environment Variables + +You can customize the frontend by creating a `.env` file in the `frontend` directory: + +```bash +# Optional: Custom backend URL (default: http://127.0.0.1:8001) +VITE_BACKEND_URL=http://localhost:8001 + +# Optional: Custom greeting message +VITE_GREETING="Welcome! Ask me about the weather!" + +# Optional: ChatKit domain key (use default for local development) +VITE_CHATKIT_API_DOMAIN_KEY=domain_pk_localhost_dev +``` + +## Development + +### Building for Production + +Backend: + +```bash +# The backend can be deployed using any ASGI server +uvicorn app:app --host 0.0.0.0 --port 8001 +``` + +Frontend: + +```bash +cd frontend +npm run build +``` + +The built files will be in `frontend/dist/` and can be served by any static file server. + +## Customization + +### Adding New Tools + +To add new capabilities to the agent, add functions to `app.py`: + +```python +def my_new_tool(param: str) -> str: + """Tool description for the LLM.""" + # Your tool implementation + return result + +# Add to the agent +weather_agent = ChatAgent( + chat_client=AzureOpenAIChatClient(credential=AzureCliCredential()), + instructions="...", + tools=[get_weather, get_time, my_new_tool], # Add your tool here +) +``` + +### Styling the Frontend + +The frontend uses Tailwind CSS. Modify the components in `frontend/src/components/` to change the appearance. + +## Troubleshooting + +### Backend Issues + +- **Authentication errors**: Run `az login` and ensure you have access to the Azure OpenAI resource +- **Module not found**: Make sure all Python packages are installed +- **Port already in use**: Change the port in `app.py` and update `frontend/vite.config.ts` accordingly + +### Frontend Issues + +- **Dependencies not found**: Run `npm install` in the `frontend` directory +- **Cannot connect to backend**: Ensure the backend is running on port 8001 +- **Build errors**: Check that Node.js version is 18.18 or higher + +## Sample Conversations + +Try these example queries: + +- "What's the weather like in Tokyo?" +- "Tell me the weather in London and Paris" +- "What's the current time?" +- "What's the weather in Seattle and what time is it?" + +## Learn More + +- [Agent Framework Documentation](https://aka.ms/agent-framework) +- [ChatKit Documentation](https://platform.openai.com/docs/guides/chatkit) +- [Azure OpenAI Documentation](https://learn.microsoft.com/en-us/azure/ai-foundry/) + +## License + +This sample is part of the Microsoft Agent Framework project and follows the same license. diff --git a/python/samples/chatkit-integration/__init__.py b/python/samples/chatkit-integration/__init__.py new file mode 100644 index 0000000000..2a50eae894 --- /dev/null +++ b/python/samples/chatkit-integration/__init__.py @@ -0,0 +1 @@ +# Copyright (c) Microsoft. All rights reserved. diff --git a/python/samples/chatkit-integration/app.py b/python/samples/chatkit-integration/app.py new file mode 100644 index 0000000000..120a36219b --- /dev/null +++ b/python/samples/chatkit-integration/app.py @@ -0,0 +1,186 @@ +# Copyright (c) Microsoft. All rights reserved. + +""" +ChatKit Integration Sample with Weather Agent + +This sample demonstrates how to integrate Microsoft Agent Framework with OpenAI ChatKit +using a weather tool and Azure OpenAI. It shows a complete ChatKit server implementation +using Agent Framework agents with proper FastAPI setup. + +Requirements: +- pip install agent-framework-chatkit +- pip install fastapi uvicorn +- Azure OpenAI service configured +- Run `az login` for authentication + +Usage: +1. Set your Azure OpenAI configuration in environment variables: + export AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" + export AZURE_OPENAI_API_VERSION="2024-06-01" + export AZURE_OPENAI_CHAT_DEPLOYMENT_NAME="gpt-4o" + +2. Run the server: + python chatkit_weather_agent.py + +3. The ChatKit UI will be available at http://localhost:8000 +""" + +from collections.abc import AsyncIterator +from datetime import datetime, timezone +from random import randint +from typing import Any, Annotated + +import uvicorn +from azure.identity import AzureCliCredential +from fastapi import FastAPI, Request +from fastapi.middleware.cors import CORSMiddleware +from fastapi.responses import Response, StreamingResponse +from pydantic import Field + +# Agent Framework imports +from agent_framework import ChatAgent +from agent_framework.azure import AzureOpenAIChatClient +from agent_framework.chatkit import simple_to_agent_input, stream_agent_response + +# ChatKit imports +from chatkit.server import ChatKitServer +from chatkit.types import ( + ThreadMetadata, + UserMessageItem, + ThreadStreamEvent, +) + +# Local imports +from store import SQLiteStore + + +def get_weather( + location: Annotated[str, Field(description="The location to get the weather for.")], +) -> str: + """Get the weather for a given location.""" + conditions = ["sunny", "cloudy", "rainy", "stormy", "snowy", "foggy"] + temperature = randint(-5, 35) + condition = conditions[randint(0, len(conditions) - 1)] + + # Add some realistic details + humidity = randint(30, 90) + wind_speed = randint(5, 25) + + return ( + f"Weather in {location}:\n" + f"• Condition: {condition.title()}\n" + f"• Temperature: {temperature}°C\n" + f"• Humidity: {humidity}%\n" + f"• Wind: {wind_speed} km/h" + ) + + +def get_time() -> str: + """Get the current UTC time.""" + current_time = datetime.now(timezone.utc) + return f"Current UTC time: {current_time.strftime('%Y-%m-%d %H:%M:%S')} UTC" + + +class WeatherChatKitServer(ChatKitServer[dict[str, Any]]): + """ChatKit server implementation using Agent Framework. + + This server integrates Agent Framework agents with ChatKit's server protocol, + providing weather information and time queries through Azure OpenAI. + """ + + def __init__(self, data_store: SQLiteStore): + super().__init__(data_store) + + # Create Agent Framework agent with Azure OpenAI + # For authentication, run `az login` command in terminal + self.weather_agent = ChatAgent( + chat_client=AzureOpenAIChatClient(credential=AzureCliCredential()), + instructions=( + "You are a helpful weather assistant. You can provide weather information " + "for any location and tell the current time. Be friendly and informative " + "in your responses. When providing weather information, format it nicely " + "and include relevant details." + ), + tools=[get_weather, get_time], + ) + + async def respond( + self, + thread: ThreadMetadata, + input_user_message: UserMessageItem | None, + context: dict[str, Any], + ) -> AsyncIterator[ThreadStreamEvent]: + """Handle incoming user messages and generate responses. + + This method converts ChatKit messages to Agent Framework format, + runs the agent, and converts the response back to ChatKit events. + """ + if input_user_message is None: + return + + try: + # Convert ChatKit input to Agent Framework messages + agent_messages = await simple_to_agent_input(input_user_message) + + if not agent_messages: + return + + # Run the Agent Framework agent with streaming + response_stream = self.weather_agent.run_stream(agent_messages) + + # Convert Agent Framework response to ChatKit events + async for event in stream_agent_response(response_stream, thread.id): + yield event + + except Exception as e: + # In a real application, you'd want better error handling and logging + print(f"Error processing message: {e}") + # You could yield an ErrorEvent here if needed + + +# FastAPI application setup +app = FastAPI( + title="ChatKit Weather Agent", + description="Weather assistant powered by Agent Framework and Azure OpenAI", + version="1.0.0" +) + +# Add CORS middleware to allow frontend connections +app.add_middleware( + CORSMiddleware, + allow_origins=["*"], # In production, specify exact origins + allow_credentials=True, + allow_methods=["*"], + allow_headers=["*"], +) + +# Initialize data store and ChatKit server +data_store = SQLiteStore() +chatkit_server = WeatherChatKitServer(data_store) + + +@app.post("/chatkit") +async def chatkit_endpoint(request: Request): + """Main ChatKit endpoint that handles all ChatKit requests. + + This endpoint follows the ChatKit server protocol and handles both + streaming and non-streaming responses. + """ + request_body = await request.body() + + # Create context following the working examples pattern + context = {"request": request} + + # Process the request using ChatKit server + result = await chatkit_server.process(request_body, context) + + # Return appropriate response type + if hasattr(result, '__aiter__'): # StreamingResult + return StreamingResponse(result, media_type="text/event-stream") # type: ignore[arg-type] + else: # NonStreamingResult + return Response(content=result.json, media_type="application/json") # type: ignore[union-attr] + + +if __name__ == "__main__": + # Run the server on port 8001 to match frontend proxy configuration + uvicorn.run(app, host="0.0.0.0", port=8001) diff --git a/python/samples/chatkit-integration/frontend/eslint.config.js b/python/samples/chatkit-integration/frontend/eslint.config.js new file mode 100644 index 0000000000..ffe35206cd --- /dev/null +++ b/python/samples/chatkit-integration/frontend/eslint.config.js @@ -0,0 +1,35 @@ +import js from "@eslint/js"; +import globals from "globals"; +import reactHooks from "eslint-plugin-react-hooks"; +import reactRefresh from "eslint-plugin-react-refresh"; +import tseslint from "@typescript-eslint/eslint-plugin"; +import tsParser from "@typescript-eslint/parser"; +import prettier from "eslint-config-prettier"; + +export default [ + { + ignores: ["dist", "node_modules"], + }, + { + files: ["**/*.{ts,tsx}"], + languageOptions: { + ecmaVersion: 2020, + globals: globals.browser, + parser: tsParser, + }, + plugins: { + "@typescript-eslint": tseslint, + "react-hooks": reactHooks, + "react-refresh": reactRefresh, + }, + rules: { + ...js.configs.recommended.rules, + ...reactHooks.configs.recommended.rules, + "react-refresh/only-export-components": [ + "warn", + { allowConstantExport: true }, + ], + }, + }, + prettier, +]; diff --git a/python/samples/chatkit-integration/frontend/index.html b/python/samples/chatkit-integration/frontend/index.html new file mode 100644 index 0000000000..0638562257 --- /dev/null +++ b/python/samples/chatkit-integration/frontend/index.html @@ -0,0 +1,13 @@ + + + + + + Weather Agent - Agent Framework + ChatKit + + + +
+ + + diff --git a/python/samples/chatkit-integration/frontend/package-lock.json b/python/samples/chatkit-integration/frontend/package-lock.json new file mode 100644 index 0000000000..b00dec3a5e --- /dev/null +++ b/python/samples/chatkit-integration/frontend/package-lock.json @@ -0,0 +1,4912 @@ +{ + "name": "weather-agent-frontend", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "weather-agent-frontend", + "version": "0.1.0", + "dependencies": { + "@openai/chatkit-react": "^0", + "clsx": "^2.1.1", + "lucide-react": "^0.544.0", + "react": "^19.2.0", + "react-dom": "^19.2.0" + }, + "devDependencies": { + "@eslint/js": "^8.57.1", + "@types/node": "^24.5.2", + "@types/react": "^19.2.0", + "@types/react-dom": "^19.2.0", + "@typescript-eslint/eslint-plugin": "^7.18.0", + "@typescript-eslint/parser": "^7.18.0", + "@vitejs/plugin-react-swc": "^3.5.0", + "autoprefixer": "^10.4.20", + "eslint": "^8.57.1", + "eslint-config-prettier": "^9.1.0", 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"lint": "eslint . --ext ts,tsx" + }, + "engines": { + "node": ">=18.18", + "npm": ">=9" + }, + "dependencies": { + "@openai/chatkit-react": "^0", + "clsx": "^2.1.1", + "lucide-react": "^0.544.0", + "react": "^19.2.0", + "react-dom": "^19.2.0" + }, + "devDependencies": { + "@eslint/js": "^8.57.1", + "@types/node": "^24.5.2", + "@types/react": "^19.2.0", + "@types/react-dom": "^19.2.0", + "@typescript-eslint/eslint-plugin": "^7.18.0", + "@typescript-eslint/parser": "^7.18.0", + "@vitejs/plugin-react-swc": "^3.5.0", + "autoprefixer": "^10.4.20", + "eslint": "^8.57.1", + "eslint-config-prettier": "^9.1.0", + "eslint-plugin-react-hooks": "^4.6.0", + "eslint-plugin-react-refresh": "^0.4.7", + "globals": "^15.3.0", + "postcss": "^8.4.47", + "tailwindcss": "^3.4.13", + "typescript": "^5.4.0", + "vite": "^7.1.9", + "vitest": "^3.2.4" + } +} \ No newline at end of file diff --git a/python/samples/chatkit-integration/frontend/postcss.config.cjs b/python/samples/chatkit-integration/frontend/postcss.config.cjs new file mode 100644 index 0000000000..12a703d900 --- /dev/null +++ b/python/samples/chatkit-integration/frontend/postcss.config.cjs @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +}; diff --git a/python/samples/chatkit-integration/frontend/src/App.tsx b/python/samples/chatkit-integration/frontend/src/App.tsx new file mode 100644 index 0000000000..1ac48fe284 --- /dev/null +++ b/python/samples/chatkit-integration/frontend/src/App.tsx @@ -0,0 +1,18 @@ +import { useCallback } from "react"; + +import Home from "./components/Home"; +import type { ColorScheme } from "./hooks/useColorScheme"; +import { useColorScheme } from "./hooks/useColorScheme"; + +export default function App() { + const { scheme, setScheme } = useColorScheme(); + + const handleThemeChange = useCallback( + (value: ColorScheme) => { + setScheme(value); + }, + [setScheme], + ); + + return ; +} diff --git a/python/samples/chatkit-integration/frontend/src/components/ChatKitPanel.tsx b/python/samples/chatkit-integration/frontend/src/components/ChatKitPanel.tsx new file mode 100644 index 0000000000..3817a23562 --- /dev/null +++ b/python/samples/chatkit-integration/frontend/src/components/ChatKitPanel.tsx @@ -0,0 +1,56 @@ +import { ChatKit, useChatKit } from "@openai/chatkit-react"; +import type { ColorScheme } from "../hooks/useColorScheme"; +import { + CHATKIT_API_DOMAIN_KEY, + CHATKIT_API_URL, + GREETING, + STARTER_PROMPTS, +} from "../lib/config"; + +type ChatKitPanelProps = { + theme: ColorScheme; +}; + +export function ChatKitPanel({ theme }: ChatKitPanelProps) { + const chatkit = useChatKit({ + api: { + url: CHATKIT_API_URL, + domainKey: CHATKIT_API_DOMAIN_KEY, + }, + theme: { + colorScheme: theme, + color: { + grayscale: { + hue: 220, + tint: 6, + shade: theme === "dark" ? -1 : -4, + }, + accent: { + primary: theme === "dark" ? "#f8fafc" : "#0f172a", + level: 1, + }, + }, + radius: "round", + }, + startScreen: { + greeting: GREETING, + prompts: STARTER_PROMPTS, + }, + composer: { + placeholder: "Ask about the weather or current time...", + }, + threadItemActions: { + feedback: false, + }, + onError: ({ error }) => { + // ChatKit displays surfaced errors; we keep logging for debugging. + console.error("ChatKit error", error); + }, + }); + + return ( +
+ +
+ ); +} diff --git a/python/samples/chatkit-integration/frontend/src/components/Home.tsx b/python/samples/chatkit-integration/frontend/src/components/Home.tsx new file mode 100644 index 0000000000..36dee9f9f8 --- /dev/null +++ b/python/samples/chatkit-integration/frontend/src/components/Home.tsx @@ -0,0 +1,47 @@ +import clsx from "clsx"; + +import { ChatKitPanel } from "./ChatKitPanel"; +import { ThemeToggle } from "./ThemeToggle"; +import type { ColorScheme } from "../hooks/useColorScheme"; + +type HomeProps = { + scheme: ColorScheme; + onThemeChange: (scheme: ColorScheme) => void; +}; + +export default function Home({ scheme, onThemeChange }: HomeProps) { + const containerClass = clsx( + "min-h-screen bg-gradient-to-br transition-colors duration-300", + scheme === "dark" + ? "from-slate-950 via-slate-950 to-slate-900 text-slate-100" + : "from-slate-100 via-white to-slate-200 text-slate-900", + ); + + return ( +
+
+
+
+

+ Agent Framework + ChatKit Demo +

+

+ Weather Assistant +

+

+ Chat with your weather assistant powered by Microsoft Agent Framework and Azure OpenAI. + Ask about the weather in any location or the current time. +

+
+ +
+ +
+
+ +
+
+
+
+ ); +} diff --git a/python/samples/chatkit-integration/frontend/src/components/ThemeToggle.tsx b/python/samples/chatkit-integration/frontend/src/components/ThemeToggle.tsx new file mode 100644 index 0000000000..abd98bbdb8 --- /dev/null +++ b/python/samples/chatkit-integration/frontend/src/components/ThemeToggle.tsx @@ -0,0 +1,47 @@ +import clsx from "clsx"; +import { Moon, Sun } from "lucide-react"; + +import type { ColorScheme } from "../hooks/useColorScheme"; + +type ThemeToggleProps = { + value: ColorScheme; + onChange: (scheme: ColorScheme) => void; +}; + +const buttonBase = + "inline-flex h-9 w-9 items-center justify-center rounded-full text-[0.7rem] transition-colors duration-200"; + +export function ThemeToggle({ value, onChange }: ThemeToggleProps) { + return ( +
+ + +
+ ); +} diff --git a/python/samples/chatkit-integration/frontend/src/hooks/useColorScheme.ts b/python/samples/chatkit-integration/frontend/src/hooks/useColorScheme.ts new file mode 100644 index 0000000000..9ba347a251 --- /dev/null +++ b/python/samples/chatkit-integration/frontend/src/hooks/useColorScheme.ts @@ -0,0 +1,45 @@ +import { useCallback, useEffect, useState } from "react"; + +import { THEME_STORAGE_KEY } from "../lib/config"; + +export type ColorScheme = "light" | "dark"; + +function getInitialScheme(): ColorScheme { + if (typeof window === "undefined") { + return "light"; + } + const stored = window.localStorage.getItem(THEME_STORAGE_KEY) as + | ColorScheme + | null; + if (stored === "light" || stored === "dark") { + return stored; + } + return window.matchMedia("(prefers-color-scheme: dark)").matches + ? "dark" + : "light"; +} + +export function useColorScheme() { + const [scheme, setScheme] = useState(getInitialScheme); + + useEffect(() => { + if (typeof document === "undefined") return; + const root = document.documentElement; + if (scheme === "dark") { + root.classList.add("dark"); + } else { + root.classList.remove("dark"); + } + window.localStorage.setItem(THEME_STORAGE_KEY, scheme); + }, [scheme]); + + const toggle = useCallback(() => { + setScheme((current) => (current === "dark" ? "light" : "dark")); + }, []); + + const setExplicit = useCallback((value: ColorScheme) => { + setScheme(value); + }, []); + + return { scheme, toggle, setScheme: setExplicit }; +} diff --git a/python/samples/chatkit-integration/frontend/src/index.css b/python/samples/chatkit-integration/frontend/src/index.css new file mode 100644 index 0000000000..88a4759971 --- /dev/null +++ b/python/samples/chatkit-integration/frontend/src/index.css @@ -0,0 +1,19 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +:root { + color-scheme: light; +} + +html, +body, +#root { + height: 100%; +} + +body { + margin: 0; + font-family: "Inter", system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif; + background: rgb(241 245 249); +} diff --git a/python/samples/chatkit-integration/frontend/src/main.tsx b/python/samples/chatkit-integration/frontend/src/main.tsx new file mode 100644 index 0000000000..8adf4f2d85 --- /dev/null +++ b/python/samples/chatkit-integration/frontend/src/main.tsx @@ -0,0 +1,16 @@ +import { StrictMode } from "react"; +import { createRoot } from "react-dom/client"; +import App from "./App"; +import "./index.css"; + +const container = document.getElementById("root"); + +if (!container) { + throw new Error("Root element with id 'root' not found"); +} + +createRoot(container).render( + + + , +); diff --git a/python/samples/chatkit-integration/frontend/src/vite-env.d.ts b/python/samples/chatkit-integration/frontend/src/vite-env.d.ts new file mode 100644 index 0000000000..11f02fe2a0 --- /dev/null +++ b/python/samples/chatkit-integration/frontend/src/vite-env.d.ts @@ -0,0 +1 @@ +/// diff --git a/python/samples/chatkit-integration/frontend/tailwind.config.ts b/python/samples/chatkit-integration/frontend/tailwind.config.ts new file mode 100644 index 0000000000..e3c0a542d1 --- /dev/null +++ b/python/samples/chatkit-integration/frontend/tailwind.config.ts @@ -0,0 +1,23 @@ +import type { Config } from "tailwindcss"; + +const config: Config = { + darkMode: "class", + content: ["./index.html", "./src/**/*.{js,ts,jsx,tsx}"], + theme: { + extend: { + fontFamily: { + sans: [ + "Inter", + "system-ui", + "-apple-system", + "BlinkMacSystemFont", + "Segoe UI", + "sans-serif", + ], + }, + }, + }, + plugins: [], +}; + +export default config; diff --git a/python/samples/chatkit-integration/frontend/tsconfig.json b/python/samples/chatkit-integration/frontend/tsconfig.json new file mode 100644 index 0000000000..3934b8f6d6 --- /dev/null +++ b/python/samples/chatkit-integration/frontend/tsconfig.json @@ -0,0 +1,21 @@ +{ + "compilerOptions": { + "target": "ES2020", + "useDefineForClassFields": true, + "lib": ["ES2020", "DOM", "DOM.Iterable"], + "module": "ESNext", + "skipLibCheck": true, + "moduleResolution": "bundler", + "allowImportingTsExtensions": true, + "resolveJsonModule": true, + "isolatedModules": true, + "noEmit": true, + "jsx": "react-jsx", + "strict": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "noFallthroughCasesInSwitch": true + }, + "include": ["src"], + "references": [{ "path": "./tsconfig.node.json" }] +} diff --git a/python/samples/chatkit-integration/frontend/tsconfig.node.json b/python/samples/chatkit-integration/frontend/tsconfig.node.json new file mode 100644 index 0000000000..42872c59f5 --- /dev/null +++ b/python/samples/chatkit-integration/frontend/tsconfig.node.json @@ -0,0 +1,10 @@ +{ + "compilerOptions": { + "composite": true, + "skipLibCheck": true, + "module": "ESNext", + "moduleResolution": "bundler", + "allowSyntheticDefaultImports": true + }, + "include": ["vite.config.ts"] +} diff --git a/python/samples/chatkit-integration/frontend/vite.config.ts b/python/samples/chatkit-integration/frontend/vite.config.ts new file mode 100644 index 0000000000..ebf0200e51 --- /dev/null +++ b/python/samples/chatkit-integration/frontend/vite.config.ts @@ -0,0 +1,24 @@ +import { defineConfig } from "vite"; +import react from "@vitejs/plugin-react-swc"; + +const backendTarget = process.env.BACKEND_URL ?? "http://127.0.0.1:8001"; + +export default defineConfig({ + plugins: [react()], + server: { + host: "0.0.0.0", + port: 5171, + proxy: { + "/chatkit": { + target: backendTarget, + changeOrigin: true, + }, + }, + // For production deployments, you need to add your public domains to this list + allowedHosts: [ + // You can remove these examples added just to demonstrate how to configure the allowlist + ".ngrok.io", + ".trycloudflare.com", + ], + }, +}); diff --git a/python/samples/chatkit-integration/store.py b/python/samples/chatkit-integration/store.py new file mode 100644 index 0000000000..73540c4397 --- /dev/null +++ b/python/samples/chatkit-integration/store.py @@ -0,0 +1,359 @@ +"""SQLite-based store implementation for ChatKit data persistence. + +This module provides a complete Store implementation using SQLite for data persistence. +It includes proper thread safety, user isolation, and follows the ChatKit Store protocol. +""" + +import sqlite3 +import uuid +from typing import Any + +from chatkit.store import Store, NotFoundError +from chatkit.types import ( + Attachment, + Page, + ThreadItem, + ThreadMetadata, +) +from pydantic import BaseModel + + +class ThreadData(BaseModel): + """Model for serializing thread data to SQLite.""" + thread: ThreadMetadata + + +class ItemData(BaseModel): + """Model for serializing thread item data to SQLite.""" + item: ThreadItem + + +class AttachmentData(BaseModel): + """Model for serializing attachment data to SQLite.""" + attachment: Attachment + + +class SQLiteStore(Store[dict[str, Any]]): + """SQLite-based store implementation for ChatKit data. + + This implementation follows the pattern from the ChatKit Python tests + and provides persistent storage for threads, messages, and attachments. + + Features: + - Thread-safe SQLite connections with WAL mode + - User isolation for multi-tenant support + - Proper error handling and transaction management + - Complete Store protocol implementation + + Note: This is for demonstration purposes. In production, you should + implement proper error handling, connection pooling, and migration strategies. + """ + + def __init__(self, db_path: str | None = None): + self.db_path = db_path or "chatkit_demo.db" # Use file-based DB for demo + self._create_tables() + + def _create_connection(self): + # Enable thread safety and WAL mode for better concurrent access + conn = sqlite3.connect(self.db_path, check_same_thread=False) + conn.execute("PRAGMA journal_mode=WAL") + return conn + + def _create_tables(self): + with self._create_connection() as conn: + # Create threads table + conn.execute( + """CREATE TABLE IF NOT EXISTS threads ( + id TEXT PRIMARY KEY, + user_id TEXT NOT NULL, + created_at TEXT NOT NULL, + data TEXT NOT NULL + )""" + ) + + # Create items table + conn.execute( + """CREATE TABLE IF NOT EXISTS items ( + id TEXT PRIMARY KEY, + thread_id TEXT NOT NULL, + user_id TEXT NOT NULL, + created_at TEXT NOT NULL, + data TEXT NOT NULL + )""" + ) + + # Create attachments table + conn.execute( + """CREATE TABLE IF NOT EXISTS attachments ( + id TEXT PRIMARY KEY, + user_id TEXT NOT NULL, + data TEXT NOT NULL + )""" + ) + conn.commit() + + def generate_thread_id(self, context: dict[str, Any]) -> str: + return f"thr_{uuid.uuid4().hex[:8]}" + + def generate_item_id( + self, + item_type: str, + thread: ThreadMetadata, + context: dict[str, Any], + ) -> str: + prefix_map = { + "message": "msg", + "tool_call": "tc", + "task": "tsk", + "workflow": "wf", + "attachment": "atc", + } + prefix = prefix_map.get(item_type, "itm") + return f"{prefix}_{uuid.uuid4().hex[:8]}" + + async def load_thread(self, thread_id: str, context: dict[str, Any]) -> ThreadMetadata: + user_id = context.get("user_id", "demo_user") + + with self._create_connection() as conn: + cursor = conn.execute( + "SELECT data FROM threads WHERE id = ? AND user_id = ?", + (thread_id, user_id), + ).fetchone() + + if cursor is None: + raise NotFoundError(f"Thread {thread_id} not found") + + thread_data = ThreadData.model_validate_json(cursor[0]) + return thread_data.thread + + async def save_thread(self, thread: ThreadMetadata, context: dict[str, Any]) -> None: + user_id = context.get("user_id", "demo_user") + + with self._create_connection() as conn: + thread_data = ThreadData(thread=thread) + + # Replace existing thread data + conn.execute( + "DELETE FROM threads WHERE id = ? AND user_id = ?", + (thread.id, user_id), + ) + conn.execute( + "INSERT INTO threads (id, user_id, created_at, data) VALUES (?, ?, ?, ?)", + ( + thread.id, + user_id, + thread.created_at.isoformat(), + thread_data.model_dump_json(), + ), + ) + conn.commit() + + async def load_thread_items( + self, + thread_id: str, + after: str | None, + limit: int, + order: str, + context: dict[str, Any], + ) -> Page[ThreadItem]: + user_id = context.get("user_id", "demo_user") + + with self._create_connection() as conn: + created_after: str | None = None + if after: + after_cursor = conn.execute( + "SELECT created_at FROM items WHERE id = ? AND user_id = ?", + (after, user_id), + ).fetchone() + if after_cursor is None: + raise NotFoundError(f"Item {after} not found") + created_after = after_cursor[0] + + query = """ + SELECT data FROM items + WHERE thread_id = ? AND user_id = ? + """ + params: list[Any] = [thread_id, user_id] + + if created_after: + query += " AND created_at > ?" if order == "asc" else " AND created_at < ?" + params.append(created_after) + + query += f" ORDER BY created_at {order} LIMIT ?" + params.append(limit + 1) + + items_cursor = conn.execute(query, params).fetchall() + items = [ + ItemData.model_validate_json(row[0]).item for row in items_cursor + ] + + has_more = len(items) > limit + if has_more: + items = items[:limit] + + return Page[ThreadItem]( + data=items, + has_more=has_more, + after=items[-1].id if items else None + ) + + async def save_attachment(self, attachment: Attachment, context: dict[str, Any]) -> None: + user_id = context.get("user_id", "demo_user") + + with self._create_connection() as conn: + attachment_data = AttachmentData(attachment=attachment) + conn.execute( + "INSERT OR REPLACE INTO attachments (id, user_id, data) VALUES (?, ?, ?)", + ( + attachment.id, + user_id, + attachment_data.model_dump_json(), + ), + ) + conn.commit() + + async def load_attachment(self, attachment_id: str, context: dict[str, Any]) -> Attachment: + user_id = context.get("user_id", "demo_user") + + with self._create_connection() as conn: + cursor = conn.execute( + "SELECT data FROM attachments WHERE id = ? AND user_id = ?", + (attachment_id, user_id), + ).fetchone() + + if cursor is None: + raise NotFoundError(f"Attachment {attachment_id} not found") + + attachment_data = AttachmentData.model_validate_json(cursor[0]) + return attachment_data.attachment + + async def delete_attachment(self, attachment_id: str, context: dict[str, Any]) -> None: + user_id = context.get("user_id", "demo_user") + + with self._create_connection() as conn: + conn.execute( + "DELETE FROM attachments WHERE id = ? AND user_id = ?", + (attachment_id, user_id), + ) + conn.commit() + + async def load_threads( + self, + limit: int, + after: str | None, + order: str, + context: dict[str, Any], + ) -> Page[ThreadMetadata]: + user_id = context.get("user_id", "demo_user") + + with self._create_connection() as conn: + created_after: str | None = None + if after: + after_cursor = conn.execute( + "SELECT created_at FROM threads WHERE id = ? AND user_id = ?", + (after, user_id), + ).fetchone() + if after_cursor is None: + raise NotFoundError(f"Thread {after} not found") + created_after = after_cursor[0] + + query = "SELECT data FROM threads WHERE user_id = ?" + params: list[Any] = [user_id] + + if created_after: + query += " AND created_at > ?" if order == "asc" else " AND created_at < ?" + params.append(created_after) + + query += f" ORDER BY created_at {order} LIMIT ?" + params.append(limit + 1) + + threads_cursor = conn.execute(query, params).fetchall() + threads = [ + ThreadData.model_validate_json(row[0]).thread for row in threads_cursor + ] + + has_more = len(threads) > limit + if has_more: + threads = threads[:limit] + + return Page[ThreadMetadata]( + data=threads, + has_more=has_more, + after=threads[-1].id if threads else None + ) + + async def add_thread_item( + self, thread_id: str, item: ThreadItem, context: dict[str, Any] + ) -> None: + user_id = context.get("user_id", "demo_user") + + with self._create_connection() as conn: + item_data = ItemData(item=item) + conn.execute( + "INSERT INTO items (id, thread_id, user_id, created_at, data) VALUES (?, ?, ?, ?, ?)", + ( + item.id, + thread_id, + user_id, + item.created_at.isoformat(), + item_data.model_dump_json(), + ), + ) + conn.commit() + + async def save_item(self, thread_id: str, item: ThreadItem, context: dict[str, Any]) -> None: + user_id = context.get("user_id", "demo_user") + + with self._create_connection() as conn: + item_data = ItemData(item=item) + conn.execute( + "UPDATE items SET data = ? WHERE id = ? AND thread_id = ? AND user_id = ?", + ( + item_data.model_dump_json(), + item.id, + thread_id, + user_id, + ), + ) + conn.commit() + + async def load_item(self, thread_id: str, item_id: str, context: dict[str, Any]) -> ThreadItem: + user_id = context.get("user_id", "demo_user") + + with self._create_connection() as conn: + cursor = conn.execute( + "SELECT data FROM items WHERE id = ? AND thread_id = ? AND user_id = ?", + (item_id, thread_id, user_id), + ).fetchone() + + if cursor is None: + raise NotFoundError(f"Item {item_id} not found in thread {thread_id}") + + item_data = ItemData.model_validate_json(cursor[0]) + return item_data.item + + async def delete_thread(self, thread_id: str, context: dict[str, Any]) -> None: + user_id = context.get("user_id", "demo_user") + + with self._create_connection() as conn: + conn.execute( + "DELETE FROM threads WHERE id = ? AND user_id = ?", + (thread_id, user_id), + ) + conn.execute( + "DELETE FROM items WHERE thread_id = ? AND user_id = ?", + (thread_id, user_id), + ) + conn.commit() + + async def delete_thread_item( + self, thread_id: str, item_id: str, context: dict[str, Any] + ) -> None: + user_id = context.get("user_id", "demo_user") + + with self._create_connection() as conn: + conn.execute( + "DELETE FROM items WHERE id = ? AND thread_id = ? AND user_id = ?", + (item_id, thread_id, user_id), + ) + conn.commit() diff --git a/python/uv.lock b/python/uv.lock index b4884776c4..c582aea02a 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 3 +revision = 2 requires-python = ">=3.10" resolution-markers = [ "python_full_version >= '3.13' and sys_platform == 'darwin'", @@ -26,6 +26,7 @@ members = [ "agent-framework", "agent-framework-a2a", "agent-framework-azure-ai", + "agent-framework-chatkit", "agent-framework-copilotstudio", "agent-framework-core", "agent-framework-devui", @@ -170,6 +171,21 @@ requires-dist = [ { name = "azure-ai-projects", specifier = ">=1.0.0b11" }, ] +[[package]] +name = "agent-framework-chatkit" +version = "1.0.0b251001" +source = { editable = "packages/chatkit" } +dependencies = [ + { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "openai-chatkit", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, +] + +[package.metadata] +requires-dist = [ + { name = "agent-framework-core", editable = "packages/core" }, + { name = "openai-chatkit" }, +] + [[package]] name = "agent-framework-copilotstudio" version = "1.0.0b251001" @@ -1866,6 +1882,18 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/e3/a5/6ddab2b4c112be95601c13428db1d8b6608a8b6039816f2ba09c346c08fc/greenlet-3.2.4-cp314-cp314-win_amd64.whl", hash = "sha256:e37ab26028f12dbb0ff65f29a8d3d44a765c61e729647bf2ddfbbed621726f01", size = 303425, upload-time = "2025-08-07T13:32:27.59Z" }, ] +[[package]] +name = "griffe" +version = "1.14.0" +source = { registry = "https://pypi.org/simple" } +dependencies = [ + { name = "colorama", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, +] +sdist = { url = "https://files.pythonhosted.org/packages/ec/d7/6c09dd7ce4c7837e4cdb11dce980cb45ae3cd87677298dc3b781b6bce7d3/griffe-1.14.0.tar.gz", 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43a5b29c9077254f0dcb4d4c8fba96d6c06c3152 Mon Sep 17 00:00:00 2001 From: Eric Zhu Date: Tue, 7 Oct 2025 13:35:49 -0700 Subject: [PATCH 02/29] git ignore --- python/packages/chatkit/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/python/packages/chatkit/README.md b/python/packages/chatkit/README.md index 72f41d88cc..5c2a9ae29f 100644 --- a/python/packages/chatkit/README.md +++ b/python/packages/chatkit/README.md @@ -40,7 +40,7 @@ from chatkit.server import ChatKitServer from chatkit.types import ThreadMetadata, UserMessageItem, ThreadStreamEvent # You'll need to implement a Store - see the sample for a SQLiteStore implementation -from your_store import YourStore # Replace with your Store implementation +from your_store import YourStore # type: ignore[import-not-found] # Replace with your Store implementation # Define your agent with tools agent = ChatAgent( @@ -72,7 +72,7 @@ class MyChatKitServer(ChatKitServer[dict[str, Any]]): # Set up FastAPI endpoint app = FastAPI() -chatkit_server = MyChatKitServer(YourStore()) +chatkit_server = MyChatKitServer(YourStore()) # type: ignore[misc] @app.post("/chatkit") async def chatkit_endpoint(request: Request): From 06d38b391bc2f6d9d1b8848523c9f812af1128de Mon Sep 17 00:00:00 2001 From: Eric Zhu Date: Tue, 7 Oct 2025 14:12:49 -0700 Subject: [PATCH 03/29] fix mypy --- .../packages/chatkit/agent_framework_chatkit/_streaming.py | 6 ++---- 1 file changed, 2 insertions(+), 4 deletions(-) diff --git a/python/packages/chatkit/agent_framework_chatkit/_streaming.py b/python/packages/chatkit/agent_framework_chatkit/_streaming.py index 3ef5a95609..c9019911ad 100644 --- a/python/packages/chatkit/agent_framework_chatkit/_streaming.py +++ b/python/packages/chatkit/agent_framework_chatkit/_streaming.py @@ -43,11 +43,9 @@ async def stream_agent_response( def _default_id_generator(item_type: str) -> str: return f"{item_type}_{uuid.uuid4().hex[:8]}" - id_generator = _default_id_generator + message_id = 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a/python/samples/chatkit-integration/frontend/src/lib/config.ts b/python/samples/chatkit-integration/frontend/src/lib/config.ts new file mode 100644 index 0000000000..d32dcf7ac4 --- /dev/null +++ b/python/samples/chatkit-integration/frontend/src/lib/config.ts @@ -0,0 +1,40 @@ +// ChatKit configuration for the weather agent demo + +import { StartScreenPrompt } from "@openai/chatkit"; + +export const THEME_STORAGE_KEY = "weather-agent-theme"; + +export const CHATKIT_API_URL = "/chatkit"; +export const CHATKIT_API_DOMAIN_KEY = + import.meta.env.VITE_CHATKIT_API_DOMAIN_KEY ?? "domain_pk_localhost_dev"; + +export const GREETING = + "👋 Hello! I'm your weather assistant. I can help you get weather information for any location and tell you the current time. What would you like to know?"; + +export const STARTER_PROMPTS: StartScreenPrompt[] = [ + { + label: "Weather in New York", + prompt: "What's the weather in New York?", + icon: "compass", + }, + { + label: "Weather in London", + prompt: "Tell me the weather in London", + icon: "compass", + }, + { + label: "Current Time", + prompt: "What time is it?", + icon: "sparkle", + }, + { + label: "Weather in Tokyo", + prompt: "What's the weather like in Tokyo?", + icon: "compass", + }, + { + label: "Weather in San Francisco", + prompt: "Get weather for San Francisco", + icon: "compass", + }, +]; From d0781cb4d3fe9a665e09745dd7c2e078179381c8 Mon Sep 17 00:00:00 2001 From: Eric Zhu Date: Thu, 9 Oct 2025 16:14:30 -0700 Subject: [PATCH 05/29] minimal frontend for chatkit sample --- python/samples/chatkit-integration/README.md | 45 +- .../frontend/eslint.config.js | 35 - .../chatkit-integration/frontend/index.html | 41 +- .../frontend/package-lock.json | 3693 +---------------- .../chatkit-integration/frontend/package.json | 22 +- .../frontend/postcss.config.cjs | 6 - .../chatkit-integration/frontend/src/App.tsx | 30 +- .../frontend/src/components/ChatKitPanel.tsx | 56 - .../frontend/src/components/Home.tsx | 47 - .../frontend/src/components/ThemeToggle.tsx | 47 - .../frontend/src/hooks/useColorScheme.ts | 45 - .../frontend/src/index.css | 19 - .../frontend/src/lib/config.ts | 40 - .../chatkit-integration/frontend/src/main.tsx | 1 - .../frontend/tailwind.config.ts | 23 - 15 files changed, 189 insertions(+), 3961 deletions(-) delete mode 100644 python/samples/chatkit-integration/frontend/eslint.config.js delete mode 100644 python/samples/chatkit-integration/frontend/postcss.config.cjs delete mode 100644 python/samples/chatkit-integration/frontend/src/components/ChatKitPanel.tsx delete mode 100644 python/samples/chatkit-integration/frontend/src/components/Home.tsx delete mode 100644 python/samples/chatkit-integration/frontend/src/components/ThemeToggle.tsx delete mode 100644 python/samples/chatkit-integration/frontend/src/hooks/useColorScheme.ts delete mode 100644 python/samples/chatkit-integration/frontend/src/index.css delete mode 100644 python/samples/chatkit-integration/frontend/src/lib/config.ts delete mode 100644 python/samples/chatkit-integration/frontend/tailwind.config.ts diff --git a/python/samples/chatkit-integration/README.md b/python/samples/chatkit-integration/README.md index eb2f75a42e..c85a9c5dcb 100644 --- a/python/samples/chatkit-integration/README.md +++ b/python/samples/chatkit-integration/README.md @@ -1,10 +1,10 @@ # ChatKit Integration Sample with Weather Agent -This sample demonstrates how to integrate Microsoft Agent Framework with OpenAI ChatKit using a weather assistant. It shows a complete full-stack application with: +This sample demonstrates how to integrate Microsoft Agent Framework with OpenAI ChatKit using a simple weather assistant. It provides a minimal full-stack application with: - **Backend**: FastAPI server using Agent Framework with Azure OpenAI -- **Frontend**: React + TypeScript UI using ChatKit React components -- **Features**: Weather information, current time, and a polished chat interface +- **Frontend**: Minimal React + TypeScript UI using ChatKit React components +- **Features**: Weather information, current time, and a simple chat interface ## Architecture @@ -102,10 +102,9 @@ You should see the Weather Assistant interface where you can: ### Frontend Components -- **Modern UI**: Beautiful gradient backgrounds with dark mode support +- **Minimal UI**: Simple, clean interface focused on ChatKit integration - **ChatKit Integration**: Full-featured chat interface with streaming responses -- **Responsive Design**: Works on desktop and mobile devices -- **Theme Toggle**: Switch between light and dark modes +- **No Complex Dependencies**: Only React and ChatKit - no styling frameworks or extra libraries ## Project Structure @@ -116,23 +115,15 @@ chatkit-integration/ ├── chatkit_demo.db # SQLite database (auto-created) ├── README.md # This file └── frontend/ - ├── package.json # Node.js dependencies + ├── package.json # Node.js dependencies (minimal) ├── vite.config.ts # Vite configuration ├── tsconfig.json # TypeScript configuration - ├── tailwind.config.ts # Tailwind CSS configuration - ├── index.html # HTML entry point + ├── index.html # HTML entry point with inline styles + ├── README.md # Frontend-specific documentation └── src/ ├── main.tsx # React entry point - ├── App.tsx # Main App component - ├── index.css # Global styles - ├── components/ - │ ├── Home.tsx # Main page layout - │ ├── ChatKitPanel.tsx # ChatKit integration - │ └── ThemeToggle.tsx # Theme switcher - ├── hooks/ - │ └── useColorScheme.ts # Theme management - └── lib/ - └── config.ts # Configuration constants + ├── App.tsx # Main App component (ChatKit integration) + └── vite-env.d.ts # Vite type definitions ``` ## Configuration @@ -148,16 +139,12 @@ chatkit-integration/ You can customize the frontend by creating a `.env` file in the `frontend` directory: ```bash -# Optional: Custom backend URL (default: http://127.0.0.1:8001) -VITE_BACKEND_URL=http://localhost:8001 - -# Optional: Custom greeting message -VITE_GREETING="Welcome! Ask me about the weather!" - # Optional: ChatKit domain key (use default for local development) VITE_CHATKIT_API_DOMAIN_KEY=domain_pk_localhost_dev ``` +The backend URL is configured in `frontend/vite.config.ts` and defaults to `http://127.0.0.1:8001`. + ## Development ### Building for Production @@ -200,7 +187,13 @@ weather_agent = ChatAgent( ### Styling the Frontend -The frontend uses Tailwind CSS. Modify the components in `frontend/src/components/` to change the appearance. +The frontend is intentionally minimal with inline styles in `index.html`. To customize: + +- **Basic styling**: Edit the ` +
+

ChatKit + Agent Framework Demo

+

Simple weather assistant powered by Agent Framework and ChatKit

+
diff --git a/python/samples/chatkit-integration/frontend/package-lock.json b/python/samples/chatkit-integration/frontend/package-lock.json index 3b6826e122..9cf6bb6b86 100644 --- a/python/samples/chatkit-integration/frontend/package-lock.json +++ b/python/samples/chatkit-integration/frontend/package-lock.json @@ -1,57 +1,29 @@ { - "name": "weather-agent-frontend", + "name": "chatkit-agent-framework-demo", "version": "0.1.0", "lockfileVersion": 3, "requires": true, "packages": { "": { - "name": "weather-agent-frontend", + "name": "chatkit-agent-framework-demo", "version": "0.1.0", "dependencies": { "@openai/chatkit-react": "^0", - "clsx": "^2.1.1", - "lucide-react": "^0.544.0", "react": "^19.2.0", "react-dom": "^19.2.0" }, "devDependencies": { - "@eslint/js": "^8.57.1", - "@types/node": "^24.5.2", "@types/react": "^19.2.0", "@types/react-dom": "^19.2.0", - "@typescript-eslint/eslint-plugin": "^7.18.0", - "@typescript-eslint/parser": "^7.18.0", "@vitejs/plugin-react-swc": "^3.5.0", - "autoprefixer": "^10.4.20", - 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"integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==", - "dev": true, - "license": "MIT", - "engines": { - "node": ">=10" - }, - "funding": { - "url": "https://github.com/sponsors/sindresorhus" - } } } } diff --git a/python/samples/chatkit-integration/frontend/package.json b/python/samples/chatkit-integration/frontend/package.json index 3836c953ab..65d65d1d53 100644 --- a/python/samples/chatkit-integration/frontend/package.json +++ b/python/samples/chatkit-integration/frontend/package.json @@ -1,13 +1,12 @@ { - "name": "weather-agent-frontend", + "name": "chatkit-agent-framework-demo", "version": "0.1.0", "private": true, "type": "module", "scripts": { "dev": "vite", "build": "vite build", - "preview": "vite preview", - "lint": "eslint . --ext ts,tsx" + "preview": "vite preview" }, "engines": { "node": ">=18.18", @@ -15,29 +14,14 @@ }, "dependencies": { "@openai/chatkit-react": "^0", - "clsx": "^2.1.1", - "lucide-react": "^0.544.0", "react": "^19.2.0", "react-dom": "^19.2.0" }, "devDependencies": { - "@eslint/js": "^8.57.1", - "@types/node": "^24.5.2", "@types/react": "^19.2.0", "@types/react-dom": "^19.2.0", - "@typescript-eslint/eslint-plugin": "^7.18.0", - "@typescript-eslint/parser": "^7.18.0", "@vitejs/plugin-react-swc": "^3.5.0", - "autoprefixer": "^10.4.20", - "eslint": "^8.57.1", - "eslint-config-prettier": "^9.1.0", - "eslint-plugin-react-hooks": "^4.6.0", - "eslint-plugin-react-refresh": "^0.4.7", - "globals": "^15.3.0", - "postcss": "^8.4.47", - "tailwindcss": "^3.4.13", "typescript": "^5.4.0", - "vite": "^7.1.9", - "vitest": "^3.2.4" + "vite": "^7.1.9" } } \ No newline at end of file diff --git a/python/samples/chatkit-integration/frontend/postcss.config.cjs b/python/samples/chatkit-integration/frontend/postcss.config.cjs deleted file mode 100644 index 12a703d900..0000000000 --- a/python/samples/chatkit-integration/frontend/postcss.config.cjs +++ /dev/null @@ -1,6 +0,0 @@ -module.exports = { - plugins: { - tailwindcss: {}, - autoprefixer: {}, - }, -}; diff --git a/python/samples/chatkit-integration/frontend/src/App.tsx b/python/samples/chatkit-integration/frontend/src/App.tsx index 1ac48fe284..040c101b66 100644 --- a/python/samples/chatkit-integration/frontend/src/App.tsx +++ b/python/samples/chatkit-integration/frontend/src/App.tsx @@ -1,18 +1,24 @@ -import { useCallback } from "react"; +import { ChatKit, useChatKit } from "@openai/chatkit-react"; -import Home from "./components/Home"; -import type { ColorScheme } from "./hooks/useColorScheme"; -import { useColorScheme } from "./hooks/useColorScheme"; +const CHATKIT_API_URL = "/chatkit"; +const CHATKIT_API_DOMAIN_KEY = + import.meta.env.VITE_CHATKIT_API_DOMAIN_KEY ?? "domain_pk_localhost_dev"; export default function App() { - const { scheme, setScheme } = useColorScheme(); - - const handleThemeChange = useCallback( - (value: ColorScheme) => { - setScheme(value); + const chatkit = useChatKit({ + api: { + url: CHATKIT_API_URL, + domainKey: CHATKIT_API_DOMAIN_KEY, + }, + startScreen: { + greeting: "Hello! I'm your weather assistant. Ask me about the weather in any location.", + prompts: [ + { label: "Weather in New York", prompt: "What's the weather in New York?" }, + { label: "Weather in London", prompt: "Tell me the weather in London" }, + { label: "Current Time", prompt: "What time is it?" }, + ], }, - [setScheme], - ); + }); - return ; + return ; } diff --git a/python/samples/chatkit-integration/frontend/src/components/ChatKitPanel.tsx b/python/samples/chatkit-integration/frontend/src/components/ChatKitPanel.tsx deleted file mode 100644 index 3817a23562..0000000000 --- a/python/samples/chatkit-integration/frontend/src/components/ChatKitPanel.tsx +++ /dev/null @@ -1,56 +0,0 @@ -import { ChatKit, useChatKit } from "@openai/chatkit-react"; -import type { ColorScheme } from "../hooks/useColorScheme"; -import { - CHATKIT_API_DOMAIN_KEY, - CHATKIT_API_URL, - GREETING, - STARTER_PROMPTS, -} from "../lib/config"; - -type ChatKitPanelProps = { - theme: ColorScheme; -}; - -export function ChatKitPanel({ theme }: ChatKitPanelProps) { - const chatkit = useChatKit({ - api: { - url: CHATKIT_API_URL, - domainKey: CHATKIT_API_DOMAIN_KEY, - }, - theme: { - colorScheme: theme, - color: { - grayscale: { - hue: 220, - tint: 6, - shade: theme === "dark" ? -1 : -4, - }, - accent: { - primary: theme === "dark" ? "#f8fafc" : "#0f172a", - level: 1, - }, - }, - radius: "round", - }, - startScreen: { - greeting: GREETING, - prompts: STARTER_PROMPTS, - }, - composer: { - placeholder: "Ask about the weather or current time...", - }, - threadItemActions: { - feedback: false, - }, - onError: ({ error }) => { - // ChatKit displays surfaced errors; we keep logging for debugging. - console.error("ChatKit error", error); - }, - }); - - return ( -
- -
- ); -} diff --git a/python/samples/chatkit-integration/frontend/src/components/Home.tsx b/python/samples/chatkit-integration/frontend/src/components/Home.tsx deleted file mode 100644 index 36dee9f9f8..0000000000 --- a/python/samples/chatkit-integration/frontend/src/components/Home.tsx +++ /dev/null @@ -1,47 +0,0 @@ -import clsx from "clsx"; - -import { ChatKitPanel } from "./ChatKitPanel"; -import { ThemeToggle } from "./ThemeToggle"; -import type { ColorScheme } from "../hooks/useColorScheme"; - -type HomeProps = { - scheme: ColorScheme; - onThemeChange: (scheme: ColorScheme) => void; -}; - -export default function Home({ scheme, onThemeChange }: HomeProps) { - const containerClass = clsx( - "min-h-screen bg-gradient-to-br transition-colors duration-300", - scheme === "dark" - ? "from-slate-950 via-slate-950 to-slate-900 text-slate-100" - : "from-slate-100 via-white to-slate-200 text-slate-900", - ); - - return ( -
-
-
-
-

- Agent Framework + ChatKit Demo -

-

- Weather Assistant -

-

- Chat with your weather assistant powered by Microsoft Agent Framework and Azure OpenAI. - Ask about the weather in any location or the current time. -

-
- -
- -
-
- -
-
-
-
- ); -} diff --git a/python/samples/chatkit-integration/frontend/src/components/ThemeToggle.tsx b/python/samples/chatkit-integration/frontend/src/components/ThemeToggle.tsx deleted file mode 100644 index abd98bbdb8..0000000000 --- a/python/samples/chatkit-integration/frontend/src/components/ThemeToggle.tsx +++ /dev/null @@ -1,47 +0,0 @@ -import clsx from "clsx"; -import { Moon, Sun } from "lucide-react"; - -import type { ColorScheme } from "../hooks/useColorScheme"; - -type ThemeToggleProps = { - value: ColorScheme; - onChange: (scheme: ColorScheme) => void; -}; - -const buttonBase = - "inline-flex h-9 w-9 items-center justify-center rounded-full text-[0.7rem] transition-colors duration-200"; - -export function ThemeToggle({ value, onChange }: ThemeToggleProps) { - return ( -
- - -
- ); -} diff --git a/python/samples/chatkit-integration/frontend/src/hooks/useColorScheme.ts b/python/samples/chatkit-integration/frontend/src/hooks/useColorScheme.ts deleted file mode 100644 index 9ba347a251..0000000000 --- a/python/samples/chatkit-integration/frontend/src/hooks/useColorScheme.ts +++ /dev/null @@ -1,45 +0,0 @@ -import { useCallback, useEffect, useState } from "react"; - -import { THEME_STORAGE_KEY } from "../lib/config"; - -export type ColorScheme = "light" | "dark"; - -function getInitialScheme(): ColorScheme { - if (typeof window === "undefined") { - return "light"; - } - const stored = window.localStorage.getItem(THEME_STORAGE_KEY) as - | ColorScheme - | null; - if (stored === "light" || stored === "dark") { - return stored; - } - return window.matchMedia("(prefers-color-scheme: dark)").matches - ? "dark" - : "light"; -} - -export function useColorScheme() { - const [scheme, setScheme] = useState(getInitialScheme); - - useEffect(() => { - if (typeof document === "undefined") return; - const root = document.documentElement; - if (scheme === "dark") { - root.classList.add("dark"); - } else { - root.classList.remove("dark"); - } - window.localStorage.setItem(THEME_STORAGE_KEY, scheme); - }, [scheme]); - - const toggle = useCallback(() => { - setScheme((current) => (current === "dark" ? "light" : "dark")); - }, []); - - const setExplicit = useCallback((value: ColorScheme) => { - setScheme(value); - }, []); - - return { scheme, toggle, setScheme: setExplicit }; -} diff --git a/python/samples/chatkit-integration/frontend/src/index.css b/python/samples/chatkit-integration/frontend/src/index.css deleted file mode 100644 index 88a4759971..0000000000 --- a/python/samples/chatkit-integration/frontend/src/index.css +++ /dev/null @@ -1,19 +0,0 @@ -@tailwind base; -@tailwind components; -@tailwind utilities; - -:root { - color-scheme: light; -} - -html, -body, -#root { - height: 100%; -} - -body { - margin: 0; - font-family: "Inter", system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif; - background: rgb(241 245 249); -} diff --git a/python/samples/chatkit-integration/frontend/src/lib/config.ts b/python/samples/chatkit-integration/frontend/src/lib/config.ts deleted file mode 100644 index d32dcf7ac4..0000000000 --- a/python/samples/chatkit-integration/frontend/src/lib/config.ts +++ /dev/null @@ -1,40 +0,0 @@ -// ChatKit configuration for the weather agent demo - -import { StartScreenPrompt } from "@openai/chatkit"; - -export const THEME_STORAGE_KEY = "weather-agent-theme"; - -export const CHATKIT_API_URL = "/chatkit"; -export const CHATKIT_API_DOMAIN_KEY = - import.meta.env.VITE_CHATKIT_API_DOMAIN_KEY ?? "domain_pk_localhost_dev"; - -export const GREETING = - "👋 Hello! I'm your weather assistant. I can help you get weather information for any location and tell you the current time. What would you like to know?"; - -export const STARTER_PROMPTS: StartScreenPrompt[] = [ - { - label: "Weather in New York", - prompt: "What's the weather in New York?", - icon: "compass", - }, - { - label: "Weather in London", - prompt: "Tell me the weather in London", - icon: "compass", - }, - { - label: "Current Time", - prompt: "What time is it?", - icon: "sparkle", - }, - { - label: "Weather in Tokyo", - prompt: "What's the weather like in Tokyo?", - icon: "compass", - }, - { - label: "Weather in San Francisco", - prompt: "Get weather for San Francisco", - icon: "compass", - }, -]; diff --git a/python/samples/chatkit-integration/frontend/src/main.tsx b/python/samples/chatkit-integration/frontend/src/main.tsx index 8adf4f2d85..0937a0fa0f 100644 --- a/python/samples/chatkit-integration/frontend/src/main.tsx +++ b/python/samples/chatkit-integration/frontend/src/main.tsx @@ -1,7 +1,6 @@ import { StrictMode } from "react"; import { createRoot } from "react-dom/client"; import App from "./App"; -import "./index.css"; const container = document.getElementById("root"); diff --git a/python/samples/chatkit-integration/frontend/tailwind.config.ts b/python/samples/chatkit-integration/frontend/tailwind.config.ts deleted file mode 100644 index e3c0a542d1..0000000000 --- a/python/samples/chatkit-integration/frontend/tailwind.config.ts +++ /dev/null @@ -1,23 +0,0 @@ -import type { Config } from "tailwindcss"; - -const config: Config = { - darkMode: "class", - content: ["./index.html", "./src/**/*.{js,ts,jsx,tsx}"], - theme: { - extend: { - fontFamily: { - sans: [ - "Inter", - "system-ui", - "-apple-system", - "BlinkMacSystemFont", - "Segoe UI", - "sans-serif", - ], - }, - }, - }, - plugins: [], -}; - -export default config; From 5587b2d9480741837055e2dc56b2b36cdfbb1099 Mon Sep 17 00:00:00 2001 From: Eric Zhu Date: Thu, 9 Oct 2025 16:50:48 -0700 Subject: [PATCH 06/29] update ignore files --- .gitignore | 10 +- python/samples/chatkit-integration/.gitignore | 95 ------------------- 2 files changed, 9 insertions(+), 96 deletions(-) delete mode 100644 python/samples/chatkit-integration/.gitignore diff --git a/.gitignore b/.gitignore index e50f681ec6..70c1563f5a 100644 --- a/.gitignore +++ b/.gitignore @@ -203,4 +203,12 @@ agents.md # AI .claude/ -WARP.md \ No newline at end of file +WARP.md + +# Frontend +**/frontend/node_modules/ +**/frontend/.vite/ +**/frontend/dist/ + +# Database files +*.db \ No newline at end of file diff --git a/python/samples/chatkit-integration/.gitignore b/python/samples/chatkit-integration/.gitignore deleted file mode 100644 index db7579b04e..0000000000 --- a/python/samples/chatkit-integration/.gitignore +++ /dev/null @@ -1,95 +0,0 @@ -# Python -__pycache__/ -*.py[cod] -*$py.class -*.so -.Python -*.egg-info/ -.installed.cfg -*.egg -.pytest_cache/ -.coverage -.hypothesis/ -*.log - -# Virtual environments -.env -.venv -env/ -venv/ -ENV/ -env.bak/ -venv.bak/ - -# SQLite databases -*.db -*.sqlite -*.sqlite3 -chatkit_demo.db -chatkit_demo.db* - -# Azurite storage emulator files -__azurite_db_blob__.json -__azurite_db_blob_extent__.json -__blobstorage__/ -__queuestorage__/ - -# Node.js / Frontend -frontend/node_modules/ -frontend/dist/ -frontend/build/ -frontend/.vite/ -frontend/.turbo/ -frontend/coverage/ - -# npm -frontend/npm-debug.log* -frontend/yarn-debug.log* -frontend/yarn-error.log* -frontend/pnpm-debug.log* -frontend/lerna-debug.log* - -# Environment variables -frontend/.env -frontend/.env.local -frontend/.env.development.local -frontend/.env.test.local -frontend/.env.production.local - -# Editor directories and files -.vscode/* -!.vscode/extensions.json -!.vscode/settings.json -!.vscode/tasks.json -!.vscode/launch.json -.idea/ -.DS_Store -*.suo -*.ntvs* -*.njsproj -*.sln -*.sw? - -# Temporary files -*.tmp -*.temp -*.~tmp -*.~bak -.tmp/ -.temp/ - -# TypeScript -*.tsbuildinfo - -# Optional npm cache directory -.npm - -# Optional eslint cache -.eslintcache - -# Logs -logs/ -*.log - -# OS files -Thumbs.db From b4d7e10f69076cf8adf4cc4d0bf01a62ac93787f Mon Sep 17 00:00:00 2001 From: Eric Zhu Date: Wed, 15 Oct 2025 09:35:57 -0700 Subject: [PATCH 07/29] version --- python/packages/chatkit/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/packages/chatkit/pyproject.toml b/python/packages/chatkit/pyproject.toml index 1890970481..e73ae30df7 100644 --- a/python/packages/chatkit/pyproject.toml +++ b/python/packages/chatkit/pyproject.toml @@ -23,7 +23,7 @@ classifiers = [ ] dependencies = [ "agent-framework-core", - "openai-chatkit", + "openai-chatkit>=1.0.2,<2.0.0", ] [tool.uv] From b76df006a49437a671ed9e39827a0501eb11a4cb Mon Sep 17 00:00:00 2001 From: Eric Zhu Date: Fri, 17 Oct 2025 10:45:02 -0700 Subject: [PATCH 08/29] set python version lowerbound on chatkit --- python/packages/chatkit/pyproject.toml | 2 +- python/uv.lock | 747 +------------------------ 2 files changed, 19 insertions(+), 730 deletions(-) diff --git a/python/packages/chatkit/pyproject.toml b/python/packages/chatkit/pyproject.toml index e73ae30df7..7f79b67b29 100644 --- a/python/packages/chatkit/pyproject.toml +++ b/python/packages/chatkit/pyproject.toml @@ -3,7 +3,7 @@ name = "agent-framework-chatkit" description = "OpenAI ChatKit integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" -requires-python = ">=3.10" +requires-python = ">=3.11" version = "1.0.0b251001" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" diff --git a/python/uv.lock b/python/uv.lock index 660257e513..e57c7fa00d 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -1,19 +1,16 @@ version = 1 -revision = 2 -requires-python = ">=3.10" +revision = 3 +requires-python = ">=3.11" resolution-markers = [ "python_full_version >= '3.13' and sys_platform == 'darwin'", "python_full_version == '3.12.*' and sys_platform == 'darwin'", - "python_full_version == '3.11.*' and sys_platform == 'darwin'", - "python_full_version < '3.11' and sys_platform == 'darwin'", + "python_full_version < '3.12' and sys_platform == 'darwin'", "python_full_version >= '3.13' and sys_platform == 'linux'", "python_full_version == '3.12.*' and sys_platform == 'linux'", - "python_full_version == '3.11.*' and sys_platform == 'linux'", - "python_full_version < '3.11' and sys_platform == 'linux'", + "python_full_version < '3.12' and sys_platform == 'linux'", "python_full_version >= '3.13' and sys_platform == 'win32'", "python_full_version == '3.12.*' and sys_platform == 'win32'", - "python_full_version == '3.11.*' and sys_platform == 'win32'", - "python_full_version < '3.11' and sys_platform == 'win32'", + "python_full_version < '3.12' and sys_platform == 'win32'", ] supported-markers = [ "sys_platform == 'darwin'", @@ -322,8 +319,7 @@ math = [ ] tau2 = [ { name = "loguru", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, - { name = "numpy", version = "2.3.4", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.11' and sys_platform == 'darwin') or (python_full_version >= '3.11' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform == 'win32')" }, + { name = "numpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "tau2", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "tiktoken", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -425,8 +421,7 @@ version = "1.0.0b251016" source = { editable = "packages/redis" } dependencies = [ { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - 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name: Test with pytest timeout-minutes: 10 - run: uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10 + run: | + if [[ "${{ matrix.python-version }}" == "3.10" ]]; then + uv run poe all-tests --ignore-glob=packages/chatkit/** -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10 + else + uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10 + fi working-directory: ./python + shell: bash - name: Test main samples timeout-minutes: 10 if: env.RUN_SAMPLES_TESTS == 'true' @@ -137,8 +143,14 @@ jobs: subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }} - name: Test with pytest timeout-minutes: 10 - run: uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10 + run: | + if [[ "${{ matrix.python-version }}" == "3.10" ]]; then + uv run poe all-tests --ignore-glob=packages/chatkit/** -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10 + else + uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10 + fi working-directory: ./python + shell: bash - name: Test azure samples timeout-minutes: 10 if: env.RUN_SAMPLES_TESTS == 'true' diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml index 7a6badaba4..583262e68e 100644 --- a/.github/workflows/python-tests.yml +++ b/.github/workflows/python-tests.yml @@ -39,8 +39,14 @@ jobs: UV_CACHE_DIR: /tmp/.uv-cache # Unit tests - name: Run all tests - run: uv run poe all-tests + run: | + if [[ "${{ matrix.python-version }}" == "3.10" ]]; then + uv run poe all-tests --ignore-glob=packages/chatkit/** + else + uv run poe all-tests + fi working-directory: ./python + shell: bash # Surface failing tests - name: Surface failing tests diff --git a/python/pyproject.toml b/python/pyproject.toml index 65f3aeab23..cee2ea4fa1 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -30,6 +30,7 @@ dependencies = [ "agent-framework-redis", "agent-framework-devui", "agent-framework-purview", + "agent-framework-chatkit; python_version >= '3.11'", ] [dependency-groups] @@ -83,6 +84,7 @@ agent-framework-mem0 = { workspace = true } agent-framework-redis = { workspace = true } agent-framework-devui = { workspace = true } agent-framework-purview = { workspace = true } +agent-framework-chatkit = { workspace = true } [tool.ruff] line-length = 120 @@ -236,6 +238,7 @@ pytest --import-mode=importlib --cov=agent_framework_mem0 --cov=agent_framework_redis --cov=agent_framework_purview +--cov=agent_framework_chatkit --cov-report=term-missing:skip-covered --ignore-glob=packages/lab/** --ignore-glob=packages/devui/** diff --git a/python/uv.lock b/python/uv.lock index e57c7fa00d..6182e4ae54 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -1,5 +1,5 @@ version = 1 -revision = 3 +revision = 2 requires-python = ">=3.11" resolution-markers = [ "python_full_version >= '3.13' and sys_platform == 'darwin'", @@ -65,6 +65,7 @@ source = { virtual = "." } dependencies = [ { name = "agent-framework-a2a", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "agent-framework-azure-ai", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "agent-framework-chatkit", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "agent-framework-copilotstudio", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "agent-framework-devui", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -103,6 +104,7 @@ docs = [ requires-dist = [ { name = "agent-framework-a2a", editable = "packages/a2a" }, { name = "agent-framework-azure-ai", editable = "packages/azure-ai" }, + { name = "agent-framework-chatkit", marker = "python_full_version >= '3.11'", editable = "packages/chatkit" }, { name = "agent-framework-copilotstudio", editable = "packages/copilotstudio" }, { name = "agent-framework-core", editable = "packages/core" }, { name = "agent-framework-devui", editable = "packages/devui" }, From 32fb89c6450f309494bae0a74edebe1b8276f790 Mon Sep 17 00:00:00 2001 From: Eric Zhu Date: Fri, 17 Oct 2025 12:25:43 -0700 Subject: [PATCH 10/29] update setup --- .github/actions/python-setup/action.yml | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/.github/actions/python-setup/action.yml b/.github/actions/python-setup/action.yml index 7850392a75..7f0a0e55b0 100644 --- a/.github/actions/python-setup/action.yml +++ b/.github/actions/python-setup/action.yml @@ -22,4 +22,9 @@ runs: - name: Install the project shell: bash run: | - cd python && uv sync --all-packages --all-extras --dev -U --prerelease=if-necessary-or-explicit + cd python + if [[ "${{ inputs.python-version }}" == "3.10" ]]; then + uv sync --all-packages --all-extras --dev -U --prerelease=if-necessary-or-explicit --exclude agent-framework-chatkit + else + uv sync --all-packages --all-extras --dev -U --prerelease=if-necessary-or-explicit + fi From 02fb969811c489efe98f88b5feea84f90cb45335 Mon Sep 17 00:00:00 2001 From: Eric Zhu Date: Fri, 17 Oct 2025 12:28:08 -0700 Subject: [PATCH 11/29] update setup --- .github/actions/python-setup/action.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/actions/python-setup/action.yml b/.github/actions/python-setup/action.yml index 7f0a0e55b0..d1be933525 100644 --- a/.github/actions/python-setup/action.yml +++ b/.github/actions/python-setup/action.yml @@ -24,7 +24,7 @@ runs: run: | cd python if [[ "${{ inputs.python-version }}" == "3.10" ]]; then - uv sync --all-packages --all-extras --dev -U --prerelease=if-necessary-or-explicit --exclude agent-framework-chatkit + uv sync --all-packages --all-extras --dev -U --prerelease=if-necessary-or-explicit --no-install-package agent-framework-chatkit else uv sync --all-packages --all-extras --dev -U --prerelease=if-necessary-or-explicit fi From 414eee5c3bd44a98ecc0a429024e6120c6553684 Mon Sep 17 00:00:00 2001 From: Eric Zhu Date: Fri, 17 Oct 2025 12:34:47 -0700 Subject: [PATCH 12/29] update setup --- .github/actions/python-setup/action.yml | 7 +------ .github/workflows/python-merge-tests.yml | 16 ++-------------- .github/workflows/python-tests.yml | 8 +------- python/pyproject.toml | 6 +++--- 4 files changed, 7 insertions(+), 30 deletions(-) diff --git a/.github/actions/python-setup/action.yml b/.github/actions/python-setup/action.yml index d1be933525..7850392a75 100644 --- a/.github/actions/python-setup/action.yml +++ b/.github/actions/python-setup/action.yml @@ -22,9 +22,4 @@ runs: - name: Install the project shell: bash run: | - cd python - if [[ "${{ inputs.python-version }}" == "3.10" ]]; then - uv sync --all-packages --all-extras --dev -U --prerelease=if-necessary-or-explicit --no-install-package agent-framework-chatkit - else - uv sync --all-packages --all-extras --dev -U --prerelease=if-necessary-or-explicit - fi + cd python && uv sync --all-packages --all-extras --dev -U --prerelease=if-necessary-or-explicit diff --git a/.github/workflows/python-merge-tests.yml b/.github/workflows/python-merge-tests.yml index f3501f3b86..45f9b24f79 100644 --- a/.github/workflows/python-merge-tests.yml +++ b/.github/workflows/python-merge-tests.yml @@ -77,14 +77,8 @@ jobs: UV_CACHE_DIR: /tmp/.uv-cache - name: Test with pytest timeout-minutes: 10 - run: | - if [[ "${{ matrix.python-version }}" == "3.10" ]]; then - uv run poe all-tests --ignore-glob=packages/chatkit/** -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10 - else - uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10 - fi + run: uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10 working-directory: ./python - shell: bash - name: Test main samples timeout-minutes: 10 if: env.RUN_SAMPLES_TESTS == 'true' @@ -143,14 +137,8 @@ jobs: subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }} - name: Test with pytest timeout-minutes: 10 - run: | - if [[ "${{ matrix.python-version }}" == "3.10" ]]; then - uv run poe all-tests --ignore-glob=packages/chatkit/** -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10 - else - uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10 - fi + run: uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10 working-directory: ./python - shell: bash - name: Test azure samples timeout-minutes: 10 if: env.RUN_SAMPLES_TESTS == 'true' diff --git a/.github/workflows/python-tests.yml b/.github/workflows/python-tests.yml index 583262e68e..7a6badaba4 100644 --- a/.github/workflows/python-tests.yml +++ b/.github/workflows/python-tests.yml @@ -39,14 +39,8 @@ jobs: UV_CACHE_DIR: /tmp/.uv-cache # Unit tests - name: Run all tests - run: | - if [[ "${{ matrix.python-version }}" == "3.10" ]]; then - uv run poe all-tests --ignore-glob=packages/chatkit/** - else - uv run poe all-tests - fi + run: uv run poe all-tests working-directory: ./python - shell: bash # Surface failing tests - name: Surface failing tests diff --git a/python/pyproject.toml b/python/pyproject.toml index cee2ea4fa1..99e93a7d9d 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -25,12 +25,12 @@ dependencies = [ "agent-framework-core", "agent-framework-a2a", "agent-framework-azure-ai", + "agent-framework-chatkit", "agent-framework-copilotstudio", "agent-framework-mem0", "agent-framework-redis", "agent-framework-devui", "agent-framework-purview", - "agent-framework-chatkit; python_version >= '3.11'", ] [dependency-groups] @@ -78,13 +78,13 @@ agent-framework = { workspace = true } agent-framework-core = { workspace = true } agent-framework-a2a = { workspace = true } agent-framework-azure-ai = { workspace = true } +agent-framework-chatkit = { workspace = true } agent-framework-copilotstudio = { workspace = true } agent-framework-lab = { workspace = true } agent-framework-mem0 = { workspace = true } agent-framework-redis = { workspace = true } agent-framework-devui = { workspace = true } agent-framework-purview = { workspace = true } -agent-framework-chatkit = { workspace = true } [tool.ruff] line-length = 120 @@ -234,11 +234,11 @@ pytest --import-mode=importlib --cov=agent_framework --cov=agent_framework_a2a --cov=agent_framework_azure_ai +--cov=agent_framework_chatkit --cov=agent_framework_copilotstudio --cov=agent_framework_mem0 --cov=agent_framework_redis --cov=agent_framework_purview ---cov=agent_framework_chatkit --cov-report=term-missing:skip-covered --ignore-glob=packages/lab/** --ignore-glob=packages/devui/** From f8cc62c015f4ce2e9d77c47881ca00b5b08105a6 Mon Sep 17 00:00:00 2001 From: Eric Zhu Date: Fri, 17 Oct 2025 13:37:31 -0700 Subject: [PATCH 13/29] update setup --- python/packages/chatkit/pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/packages/chatkit/pyproject.toml b/python/packages/chatkit/pyproject.toml index 7f79b67b29..e73ae30df7 100644 --- a/python/packages/chatkit/pyproject.toml +++ b/python/packages/chatkit/pyproject.toml @@ -3,7 +3,7 @@ name = "agent-framework-chatkit" description = "OpenAI ChatKit integration for Microsoft Agent Framework." authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] readme = "README.md" -requires-python = ">=3.11" +requires-python = ">=3.10" version = "1.0.0b251001" license-files = ["LICENSE"] urls.homepage = "https://aka.ms/agent-framework" From 671200fbe79472d42beb0a37e3f2ad526e3a5e95 Mon Sep 17 00:00:00 2001 From: Eric Zhu Date: Tue, 21 Oct 2025 12:16:13 -0700 Subject: [PATCH 14/29] weather widget --- python/packages/chatkit/README.md | 4 +- .../agent_framework_chatkit/__init__.py | 2 + .../agent_framework_chatkit/_streaming.py | 2 +- .../agent_framework_chatkit/_widgets.py | 44 ++ .../chatkit/agent_framework_chatkit/py.typed | 0 python/samples/chatkit-integration/README.md | 71 +- python/samples/chatkit-integration/app.py | 86 +- .../chatkit-integration/chatkit_demo.db-shm | Bin 0 -> 32768 bytes .../chatkit-integration/chatkit_demo.db-wal | Bin 0 -> 20632 bytes .../chatkit-integration/weather_widget.py | 290 +++++++ python/uv.lock | 747 +++++++++++++++++- 11 files changed, 1189 insertions(+), 57 deletions(-) create mode 100644 python/packages/chatkit/agent_framework_chatkit/_widgets.py create mode 100644 python/packages/chatkit/agent_framework_chatkit/py.typed create mode 100644 python/samples/chatkit-integration/chatkit_demo.db-shm create mode 100644 python/samples/chatkit-integration/chatkit_demo.db-wal create mode 100644 python/samples/chatkit-integration/weather_widget.py diff --git a/python/packages/chatkit/README.md b/python/packages/chatkit/README.md index 5c2a9ae29f..e08459508d 100644 --- a/python/packages/chatkit/README.md +++ b/python/packages/chatkit/README.md @@ -4,8 +4,10 @@ This package provides an integration layer between Microsoft Agent Framework and [OpenAI ChatKit (Python)](https://github.com/openai/chatkit-python/). Specifically, it mirrors the [Agent SDK integration](https://github.com/openai/chatkit-python/blob/main/docs/server.md#agents-sdk-integration), and provides the following helpers: -- `stream_agent_response`: A helper to converted a streamed `AgentRunResponseUpdate` +- `stream_agent_response`: A helper to convert a streamed `AgentRunResponseUpdate` from a Microsoft Agent Framework agent that implements `AgentProtocol` to ChatKit events. +- `stream_widget`: A helper to stream ChatKit widget events triggered by the agent, typically + as effects of tool calls. - `ThreadItemConverter`: A extendable helper class to convert ChatKit thread items to `ChatMessage` objects that can be consumed by an Agent Framework agent. - `simple_to_agent_input`: A helper function that uses the default implementation diff --git a/python/packages/chatkit/agent_framework_chatkit/__init__.py b/python/packages/chatkit/agent_framework_chatkit/__init__.py index 8c01a6dfad..315323bb23 100644 --- a/python/packages/chatkit/agent_framework_chatkit/__init__.py +++ b/python/packages/chatkit/agent_framework_chatkit/__init__.py @@ -11,6 +11,7 @@ from ._converter import ThreadItemConverter, simple_to_agent_input from ._streaming import stream_agent_response +from ._widgets import stream_widget try: __version__ = importlib.metadata.version(__name__) @@ -22,4 +23,5 @@ "__version__", "simple_to_agent_input", "stream_agent_response", + "stream_widget", ] diff --git a/python/packages/chatkit/agent_framework_chatkit/_streaming.py b/python/packages/chatkit/agent_framework_chatkit/_streaming.py index c9019911ad..2f71b201e8 100644 --- a/python/packages/chatkit/agent_framework_chatkit/_streaming.py +++ b/python/packages/chatkit/agent_framework_chatkit/_streaming.py @@ -69,7 +69,7 @@ def _default_id_generator(item_type: str) -> str: if update.contents: for content in update.contents: # Handle text content - only TextContent has a text attribute - if isinstance(content, TextContent) and content.text: + if isinstance(content, TextContent) and content.text is not None: accumulated_text += content.text # Finalize the message diff --git a/python/packages/chatkit/agent_framework_chatkit/_widgets.py b/python/packages/chatkit/agent_framework_chatkit/_widgets.py new file mode 100644 index 0000000000..c51299ab43 --- /dev/null +++ b/python/packages/chatkit/agent_framework_chatkit/_widgets.py @@ -0,0 +1,44 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Widget utilities for creating and streaming ChatKit widgets from Agent Framework.""" + +from collections.abc import AsyncIterator +from datetime import datetime +from typing import Callable + +from chatkit.server import StoreItemType, default_generate_id +from chatkit.types import ThreadItemDoneEvent, ThreadStreamEvent, WidgetItem +from chatkit.widgets import WidgetRoot + + +async def stream_widget( + thread_id: str, + widget: WidgetRoot, + copy_text: str | None = None, + generate_id: Callable[[StoreItemType], str] = default_generate_id, +) -> AsyncIterator[ThreadStreamEvent]: + """Stream a ChatKit widget as a ThreadStreamEvent. + + This helper function creates a ChatKit widget item and yields it as a + ThreadItemDoneEvent that can be consumed by the ChatKit UI. + + Args: + thread_id: The ChatKit thread ID for the conversation. + widget: The ChatKit widget to display. + copy_text: Optional text representation of the widget for copy/paste. + generate_id: Optional function to generate IDs for ChatKit items. + + Yields: + ThreadStreamEvent: ChatKit event containing the widget. + """ + item_id = generate_id("message") + + widget_item = WidgetItem( + id=item_id, + thread_id=thread_id, + created_at=datetime.now(), + widget=widget, + copy_text=copy_text, + ) + + yield ThreadItemDoneEvent(type="thread.item.done", item=widget_item) diff --git a/python/packages/chatkit/agent_framework_chatkit/py.typed b/python/packages/chatkit/agent_framework_chatkit/py.typed new file mode 100644 index 0000000000..e69de29bb2 diff --git a/python/samples/chatkit-integration/README.md b/python/samples/chatkit-integration/README.md index c85a9c5dcb..cfeea7e1e6 100644 --- a/python/samples/chatkit-integration/README.md +++ b/python/samples/chatkit-integration/README.md @@ -1,10 +1,14 @@ # ChatKit Integration Sample with Weather Agent -This sample demonstrates how to integrate Microsoft Agent Framework with OpenAI ChatKit using a simple weather assistant. It provides a minimal full-stack application with: +This sample demonstrates how to integrate Microsoft Agent Framework with OpenAI ChatKit using a weather assistant with **interactive widget visualization**. It provides a minimal full-stack application with: - **Backend**: FastAPI server using Agent Framework with Azure OpenAI - **Frontend**: Minimal React + TypeScript UI using ChatKit React components -- **Features**: Weather information, current time, and a simple chat interface +- **Features**: + - Weather information with beautiful interactive widgets + - Current time queries + - Chat interface with streaming responses + - Visual weather cards with conditions, temperature, humidity, and wind ## Architecture @@ -12,6 +16,7 @@ This sample demonstrates how to integrate Microsoft Agent Framework with OpenAI ┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐ │ React Frontend │ ───▶ │ FastAPI Backend │ ───▶ │ Azure OpenAI │ │ (ChatKit UI) │ ◀─── │ (Agent Framework)│ ◀─── │ │ +│ │ │ + Widgets │ │ │ └─────────────────┘ └──────────────────┘ └─────────────────┘ ``` @@ -88,24 +93,80 @@ http://localhost:5171 You should see the Weather Assistant interface where you can: -- Ask about weather in any location +- Ask about weather in any location - **Weather widgets will be displayed automatically!** - Get the current time - Use the starter prompts or type your own queries +- View beautiful, interactive weather cards with icons and details ## Features +### Interactive Weather Widgets + +When you ask about weather, the assistant displays a beautiful interactive card showing: + +- **Location and weather condition** +- **Temperature** with a visual icon (sunny, cloudy, rainy, stormy, snowy, foggy) +- **Weather details**: Humidity percentage and wind speed +- **Clean, modern design** following ChatKit widget guidelines + +The widgets are created using ChatKit's widget system and are displayed alongside the text response. + ### Backend Components -- **`app.py`**: Main FastAPI application with ChatKit integration +- **`app.py`**: Main FastAPI application with ChatKit integration and widget support +- **`weather_widget.py`**: Weather widget rendering with SVG icons and ChatKit components - **`store.py`**: SQLite-based store for ChatKit data persistence - **Weather Agent**: Uses Agent Framework with Azure OpenAI to provide weather information ### Frontend Components - **Minimal UI**: Simple, clean interface focused on ChatKit integration -- **ChatKit Integration**: Full-featured chat interface with streaming responses +- **ChatKit Integration**: Full-featured chat interface with streaming responses and widget support - **No Complex Dependencies**: Only React and ChatKit - no styling frameworks or extra libraries +## How Widget Integration Works + +This sample demonstrates the full flow of creating interactive ChatKit widgets from Agent Framework: + +1. **User asks a question** (e.g., "What's the weather in Seattle?") +2. **Agent Framework agent** processes the request using Azure OpenAI +3. **Tool is invoked**: The `get_weather()` function is called with the location +4. **Data is collected**: Weather data (condition, temperature, humidity, wind) is stored +5. **Text response streams**: The agent provides a text description +6. **Widget is created**: After the text response, a ChatKit widget is rendered using: + - `render_weather_widget()`: Creates the widget structure with ChatKit components + - SVG icons for weather conditions + - Structured layout using Box, Card, Row, Col components +7. **Widget streams to frontend**: Using `stream_widget()` from agent_framework_chatkit +8. **ChatKit UI displays**: The interactive widget appears alongside the text + +### Key Files for Widget Integration + +```python +# weather_widget.py - Widget rendering +from chatkit.widgets import Card, Box, Row, Col, Text, Title, Image + +def render_weather_widget(data: WeatherData) -> WidgetRoot: + # Creates a Card widget with weather information + return Card(key="weather", padding=0, children=[...]) + +# app.py - Integration with agent +from agent_framework_chatkit import stream_widget + +# After agent response, create and stream widget +widget = render_weather_widget(weather_data) +async for event in stream_widget(thread_id=thread.id, widget=widget): + yield event +``` + +The `agent_framework_chatkit` package provides the `stream_widget()` helper that: + +- Creates a `WidgetItem` with the provided widget +- Wraps it in a `ThreadItemDoneEvent` +- Yields it as a ChatKit stream event + +This approach keeps the widget logic separate from the agent logic while maintaining clean integration. + ## Project Structure ``` diff --git a/python/samples/chatkit-integration/app.py b/python/samples/chatkit-integration/app.py index 120a36219b..bee864ac79 100644 --- a/python/samples/chatkit-integration/app.py +++ b/python/samples/chatkit-integration/app.py @@ -4,31 +4,15 @@ ChatKit Integration Sample with Weather Agent This sample demonstrates how to integrate Microsoft Agent Framework with OpenAI ChatKit -using a weather tool and Azure OpenAI. It shows a complete ChatKit server implementation -using Agent Framework agents with proper FastAPI setup. - -Requirements: -- pip install agent-framework-chatkit -- pip install fastapi uvicorn -- Azure OpenAI service configured -- Run `az login` for authentication - -Usage: -1. Set your Azure OpenAI configuration in environment variables: - export AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" - export AZURE_OPENAI_API_VERSION="2024-06-01" - export AZURE_OPENAI_CHAT_DEPLOYMENT_NAME="gpt-4o" - -2. Run the server: - python chatkit_weather_agent.py - -3. The ChatKit UI will be available at http://localhost:8000 +using a weather tool with widget visualization and Azure OpenAI. It shows a complete +ChatKit server implementation using Agent Framework agents with proper FastAPI setup +and interactive weather widgets. """ from collections.abc import AsyncIterator from datetime import datetime, timezone from random import randint -from typing import Any, Annotated +from typing import Annotated, Any import uvicorn from azure.identity import AzureCliCredential @@ -40,24 +24,30 @@ # Agent Framework imports from agent_framework import ChatAgent from agent_framework.azure import AzureOpenAIChatClient -from agent_framework.chatkit import simple_to_agent_input, stream_agent_response +from agent_framework_chatkit import simple_to_agent_input, stream_agent_response, stream_widget # ChatKit imports from chatkit.server import ChatKitServer -from chatkit.types import ( - ThreadMetadata, - UserMessageItem, - ThreadStreamEvent, -) +from chatkit.types import ThreadMetadata, ThreadStreamEvent, UserMessageItem # Local imports from store import SQLiteStore +from weather_widget import WeatherData, render_weather_widget, weather_widget_copy_text + + +# Global variable to store weather data for widget creation +_last_weather_data: WeatherData | None = None def get_weather( location: Annotated[str, Field(description="The location to get the weather for.")], ) -> str: - """Get the weather for a given location.""" + """Get the weather for a given location. + + Returns a text description and stores data for widget creation. + """ + global _last_weather_data + conditions = ["sunny", "cloudy", "rainy", "stormy", "snowy", "foggy"] temperature = randint(-5, 35) condition = conditions[randint(0, len(conditions) - 1)] @@ -66,6 +56,16 @@ def get_weather( humidity = randint(30, 90) wind_speed = randint(5, 25) + # Store data for widget creation + _last_weather_data = WeatherData( + location=location, + condition=condition, + temperature=temperature, + humidity=humidity, + wind_speed=wind_speed, + ) + + # Return text description return ( f"Weather in {location}:\n" f"• Condition: {condition.title()}\n" @@ -85,7 +85,7 @@ class WeatherChatKitServer(ChatKitServer[dict[str, Any]]): """ChatKit server implementation using Agent Framework. This server integrates Agent Framework agents with ChatKit's server protocol, - providing weather information and time queries through Azure OpenAI. + providing weather information with interactive widgets and time queries through Azure OpenAI. """ def __init__(self, data_store: SQLiteStore): @@ -98,8 +98,8 @@ def __init__(self, data_store: SQLiteStore): instructions=( "You are a helpful weather assistant. You can provide weather information " "for any location and tell the current time. Be friendly and informative " - "in your responses. When providing weather information, format it nicely " - "and include relevant details." + "in your responses. When you provide weather information, a beautiful " + "interactive weather widget will be displayed to the user automatically." ), tools=[get_weather, get_time], ) @@ -113,12 +113,18 @@ async def respond( """Handle incoming user messages and generate responses. This method converts ChatKit messages to Agent Framework format, - runs the agent, and converts the response back to ChatKit events. + runs the agent, converts the response back to ChatKit events, + and creates interactive weather widgets when weather data is queried. 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All rights reserved. + +"""Weather widget rendering for ChatKit integration sample.""" + +import base64 +from dataclasses import dataclass + +from chatkit.widgets import Box, Card, Col, Image, Row, Text, Title, WidgetRoot + +WEATHER_ICON_COLOR = "#1D4ED8" +WEATHER_ICON_ACCENT = "#DBEAFE" + + +def _sun_svg() -> str: + """Generate SVG for sunny weather icon.""" + color = WEATHER_ICON_COLOR + accent = WEATHER_ICON_ACCENT + return ( + '' + f'' + f'' + '' + '' + '' + '' + '' + '' + '' + '' + "" + "" + ) + + +def _cloud_svg() -> str: + """Generate SVG for cloudy weather icon.""" + color = WEATHER_ICON_COLOR + accent = WEATHER_ICON_ACCENT + return ( + '' + f'' + "" + ) + + +def _rain_svg() -> str: + """Generate SVG for rainy weather icon.""" + color = WEATHER_ICON_COLOR + accent = WEATHER_ICON_ACCENT + return ( + '' + f'' + f'' + '' + '' + '' + "" + "" + ) + + +def _storm_svg() -> str: + """Generate SVG for stormy weather icon.""" + color = WEATHER_ICON_COLOR + accent = WEATHER_ICON_ACCENT + return ( + '' + f'' + f'' + "" + ) + + +def _snow_svg() -> str: + """Generate SVG for snowy weather icon.""" + color = WEATHER_ICON_COLOR + accent = WEATHER_ICON_ACCENT + return ( + '' + f'' + f'' + '' + '' + '' + '' + '' + '' + "" + "" + ) + + +def _fog_svg() -> str: + """Generate SVG for foggy weather icon.""" + color = WEATHER_ICON_COLOR + accent = WEATHER_ICON_ACCENT + return ( + '' + f'' + f'' + '' + '' + "" + "" + ) + + +def _encode_svg(svg: str) -> str: + """Encode SVG as base64 data URI.""" + encoded = base64.b64encode(svg.encode("utf-8")).decode("ascii") + return f"data:image/svg+xml;base64,{encoded}" + + +# Weather condition to icon mapping +WEATHER_ICONS = { + "sunny": _encode_svg(_sun_svg()), + "cloudy": _encode_svg(_cloud_svg()), + "rainy": _encode_svg(_rain_svg()), + "stormy": _encode_svg(_storm_svg()), + "snowy": _encode_svg(_snow_svg()), + "foggy": _encode_svg(_fog_svg()), +} + +DEFAULT_WEATHER_ICON = _encode_svg(_cloud_svg()) + + +@dataclass +class WeatherData: + """Weather data container.""" + + location: str + condition: str + temperature: int + humidity: int + wind_speed: int + + +def render_weather_widget(data: WeatherData) -> WidgetRoot: + """Render a weather widget from weather data. + + Args: + data: WeatherData containing weather information + + Returns: + A ChatKit WidgetRoot (Card) displaying the weather information + """ + # Get weather icon + weather_icon_src = WEATHER_ICONS.get(data.condition.lower(), DEFAULT_WEATHER_ICON) + + # Build the widget + header = Box( + padding=5, + background="surface-tertiary", + children=[ + Row( + justify="between", + align="center", + children=[ + Col( + align="start", + gap=1, + children=[ + Text( + value=data.location, + size="lg", + weight="semibold", + ), + Text( + value="Current conditions", + color="tertiary", + size="xs", + ), + ], + ), + Box( + padding=3, + radius="full", + background="blue-100", + children=[ + Image( + src=weather_icon_src, + alt=data.condition, + size=28, + fit="contain", + ) + ], + ), + ], + ), + Row( + align="start", + gap=4, + children=[ + Title( + value=f"{data.temperature}°C", + size="lg", + weight="semibold", + ), + Col( + align="start", + gap=1, + children=[ + Text( + value=data.condition.title(), + color="secondary", + size="sm", + weight="medium", + ), + ], + ), + ], + ), + ], + ) + + # Details section + details = Box( + padding=5, + gap=4, + children=[ + Text(value="Weather details", weight="semibold", size="sm"), + Row( + gap=3, + wrap="wrap", + children=[ + _detail_chip("Humidity", f"{data.humidity}%"), + _detail_chip("Wind", f"{data.wind_speed} km/h"), + ], + ), + ], + ) + + return Card( + key="weather", + padding=0, + children=[header, details], + ) + + +def _detail_chip(label: str, value: str) -> Box: + """Create a detail chip widget component.""" + return Box( + padding=3, + radius="xl", + background="surface-tertiary", + width=150, + minWidth=150, + maxWidth=150, + minHeight=80, + maxHeight=80, + flex="0 0 auto", + children=[ + Col( + align="stretch", + gap=2, + children=[ + Text(value=label, size="xs", weight="medium", color="tertiary"), + Row( + justify="center", + margin={"top": 2}, + children=[Text(value=value, weight="semibold", size="lg")], + ), + ], + ) + ], + ) + + +def weather_widget_copy_text(data: WeatherData) -> str: + """Generate plain text representation of weather data. + + Args: + data: WeatherData containing weather information + + Returns: + Plain text description for copy/paste functionality + """ + return ( + f"Weather in {data.location}:\n" + f"• Condition: {data.condition.title()}\n" + f"• Temperature: {data.temperature}°C\n" + f"• Humidity: {data.humidity}%\n" + f"• Wind: {data.wind_speed} km/h" + ) diff --git a/python/uv.lock b/python/uv.lock index 6182e4ae54..2b8119b45d 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -1,16 +1,19 @@ version = 1 revision = 2 -requires-python = ">=3.11" +requires-python = ">=3.10" resolution-markers = [ "python_full_version >= '3.13' and sys_platform == 'darwin'", "python_full_version == '3.12.*' and sys_platform == 'darwin'", - "python_full_version < '3.12' and sys_platform == 'darwin'", + "python_full_version == '3.11.*' and sys_platform == 'darwin'", + "python_full_version < '3.11' and sys_platform == 'darwin'", "python_full_version >= '3.13' and sys_platform == 'linux'", "python_full_version == '3.12.*' and sys_platform == 'linux'", - "python_full_version < '3.12' and sys_platform == 'linux'", + "python_full_version == '3.11.*' and sys_platform == 'linux'", + "python_full_version < '3.11' and sys_platform == 'linux'", "python_full_version >= '3.13' and sys_platform == 'win32'", "python_full_version == '3.12.*' and sys_platform == 'win32'", - "python_full_version < '3.12' and sys_platform == 'win32'", + "python_full_version == '3.11.*' and sys_platform == 'win32'", + "python_full_version < '3.11' and sys_platform == 'win32'", ] supported-markers = [ "sys_platform == 'darwin'", @@ -104,7 +107,7 @@ docs = [ requires-dist = [ { name = 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'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "numpy", version = "2.3.4", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.11' and sys_platform == 'darwin') or (python_full_version >= '3.11' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform == 'win32')" }, { name = "pydantic", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "tau2", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "tiktoken", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, @@ -423,7 +427,8 @@ version = "1.0.0b251016" source = { editable = "packages/redis" } dependencies = [ { name = "agent-framework-core", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, - { name = "numpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, + { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version < '3.11' and sys_platform == 'darwin') or (python_full_version < '3.11' and sys_platform == 'linux') or (python_full_version < '3.11' and sys_platform == 'win32')" }, + { name = "numpy", version = "2.3.4", source = { registry = "https://pypi.org/simple" }, marker = "(python_full_version >= '3.11' and sys_platform == 'darwin') or (python_full_version >= '3.11' and sys_platform == 'linux') or (python_full_version >= '3.11' and sys_platform == 'win32')" }, { name = "redis", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, { name = "redisvl", marker = "sys_platform == 'darwin' or sys_platform == 'linux' or sys_platform == 'win32'" }, ] @@ -506,6 +511,7 @@ source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "aiohappyeyeballs", marker = "sys_platform 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.../chatkit-integration/chatkit_demo.db-shm | Bin 32768 -> 0 bytes .../chatkit-integration/chatkit_demo.db-wal | Bin 20632 -> 0 bytes .../chatkit-integration/frontend/src/App.tsx | 2 +- .../chatkit-integration/weather_widget.py | 149 +++++++++++++++++- 8 files changed, 278 insertions(+), 11 deletions(-) create mode 100644 python/samples/chatkit-integration/.gitignore delete mode 100644 python/samples/chatkit-integration/chatkit_demo.db-shm delete mode 100644 python/samples/chatkit-integration/chatkit_demo.db-wal diff --git a/python/packages/chatkit/pyproject.toml b/python/packages/chatkit/pyproject.toml index e73ae30df7..3dd567c167 100644 --- a/python/packages/chatkit/pyproject.toml +++ b/python/packages/chatkit/pyproject.toml @@ -47,6 +47,9 @@ timeout = 120 [tool.ruff] extend = "../../pyproject.toml" +[tool.ruff.lint] +ignore = ["RUF029"] + [tool.coverage.run] omit = [ "**/__init__.py" diff --git a/python/samples/chatkit-integration/.gitignore b/python/samples/chatkit-integration/.gitignore new file mode 100644 index 0000000000..c50ada2bf6 --- /dev/null +++ b/python/samples/chatkit-integration/.gitignore @@ -0,0 +1,3 @@ +*.db +*.db-shm +*.db-wal \ No newline at end of file diff --git a/python/samples/chatkit-integration/README.md b/python/samples/chatkit-integration/README.md index cfeea7e1e6..16aad05417 100644 --- a/python/samples/chatkit-integration/README.md +++ b/python/samples/chatkit-integration/README.md @@ -111,10 +111,24 @@ When you ask about weather, the assistant displays a beautiful interactive card The widgets are created using ChatKit's widget system and are displayed alongside the text response. +### City Selector Widget + +Ask the assistant to show you cities or list available locations, and it will display an interactive city selector widget featuring: + +- **Clickable city buttons**: Each city is a button that automatically asks for its weather +- **One-click weather**: Simply click a city name to get instant weather information +- **Popular locations**: 10 major US cities organized in an easy-to-browse grid +- **Regional coverage**: Cities from Pacific Northwest, East Coast, Bay Area, and more +- **Flexible input**: Users can still type to ask about any city worldwide + +Simply say "show me cities" or "what cities can I choose from?" to see the selector, then click any city! + ### Backend Components - **`app.py`**: Main FastAPI application with ChatKit integration and widget support -- **`weather_widget.py`**: Weather widget rendering with SVG icons and ChatKit components +- **`weather_widget.py`**: Weather and city selector widget rendering with SVG icons and ChatKit components + - `render_weather_widget()`: Creates weather display cards + - `render_city_selector_widget()`: Creates city selection interface - **`store.py`**: SQLite-based store for ChatKit data persistence - **Weather Agent**: Uses Agent Framework with Azure OpenAI to provide weather information @@ -128,6 +142,8 @@ The widgets are created using ChatKit's widget system and are displayed alongsid This sample demonstrates the full flow of creating interactive ChatKit widgets from Agent Framework: +### Weather Widget Flow + 1. **User asks a question** (e.g., "What's the weather in Seattle?") 2. **Agent Framework agent** processes the request using Azure OpenAI 3. **Tool is invoked**: The `get_weather()` function is called with the location @@ -138,7 +154,18 @@ This sample demonstrates the full flow of creating interactive ChatKit widgets f - SVG icons for weather conditions - Structured layout using Box, Card, Row, Col components 7. **Widget streams to frontend**: Using `stream_widget()` from agent_framework_chatkit -8. **ChatKit UI displays**: The interactive widget appears alongside the text + +### City Selector Widget Flow + +1. **User requests city list** (e.g., "show me available cities" or "what cities can I choose from?") +2. **Agent invokes tool**: The `show_city_selector()` function sets a flag +3. **Text response**: Agent confirms it will show the cities +4. **Widget is created**: After the text response, the city selector widget is rendered with clickable buttons +5. **Widget displays**: Shows a grid of clickable city buttons +6. **User clicks a city**: The button automatically sends a message "What's the weather in [City]?" +7. **Agent responds**: Processes the weather request and shows the weather widget + +The buttons use ChatKit's `ActionConfig` with type `add_user_message` to automatically submit the weather query when clicked. 7. **ChatKit UI displays**: The interactive widget appears alongside the text ### Key Files for Widget Integration diff --git a/python/samples/chatkit-integration/app.py b/python/samples/chatkit-integration/app.py index bee864ac79..84cfb6cfee 100644 --- a/python/samples/chatkit-integration/app.py +++ b/python/samples/chatkit-integration/app.py @@ -22,21 +22,30 @@ from pydantic import Field # Agent Framework imports -from agent_framework import ChatAgent +from agent_framework import ChatAgent, ChatMessage, Role from agent_framework.azure import AzureOpenAIChatClient from agent_framework_chatkit import simple_to_agent_input, stream_agent_response, stream_widget # ChatKit imports +from chatkit.actions import Action from chatkit.server import ChatKitServer -from chatkit.types import ThreadMetadata, ThreadStreamEvent, UserMessageItem +from chatkit.types import ThreadMetadata, ThreadStreamEvent, UserMessageItem, WidgetItem # Local imports from store import SQLiteStore -from weather_widget import WeatherData, render_weather_widget, weather_widget_copy_text +from weather_widget import ( + WeatherData, + city_selector_copy_text, + render_city_selector_widget, + render_weather_widget, + weather_widget_copy_text, +) # Global variable to store weather data for widget creation _last_weather_data: WeatherData | None = None +# Global flag to show city selector +_show_city_selector: bool = False def get_weather( @@ -81,6 +90,17 @@ def get_time() -> str: return f"Current UTC time: {current_time.strftime('%Y-%m-%d %H:%M:%S')} UTC" +def show_city_selector() -> str: + """Show an interactive city selector widget to the user. + + This function triggers the display of a widget that allows users + to select from popular cities to get weather information. + """ + global _show_city_selector + _show_city_selector = True + return "I'll show you a list of cities to choose from." + + class WeatherChatKitServer(ChatKitServer[dict[str, Any]]): """ChatKit server implementation using Agent Framework. @@ -99,9 +119,11 @@ def __init__(self, data_store: SQLiteStore): "You are a helpful weather assistant. You can provide weather information " "for any location and tell the current time. Be friendly and informative " "in your responses. When you provide weather information, a beautiful " - "interactive weather widget will be displayed to the user automatically." + "interactive weather widget will be displayed to the user automatically.\n\n" + "If a user asks to see a list of cities or wants to choose from available " + "cities, use the show_city_selector tool to display an interactive city selector." ), - tools=[get_weather, get_time], + tools=[get_weather, get_time, show_city_selector], ) async def respond( @@ -116,14 +138,15 @@ async def respond( runs the agent, converts the response back to ChatKit events, and creates interactive weather widgets when weather data is queried. """ - global _last_weather_data + global _last_weather_data, _show_city_selector if input_user_message is None: return try: - # Reset weather data + # Reset weather data and city selector flag _last_weather_data = None + _show_city_selector = False # Convert ChatKit input to Agent Framework messages agent_messages = await simple_to_agent_input(input_user_message) @@ -150,6 +173,18 @@ async def respond( ): yield widget_event + # If city selector should be shown, create and stream that widget + if _show_city_selector: + # Create city selector widget + selector_widget = render_city_selector_widget() + selector_copy_text = city_selector_copy_text() + + # Stream the widget + async for widget_event in stream_widget( + thread_id=thread.id, widget=selector_widget, copy_text=selector_copy_text + ): + yield widget_event + except Exception as e: # In a real application, you'd want better error handling and logging print(f"Error processing message: {e}") @@ -157,7 +192,59 @@ async def respond( traceback.print_exc() + async def action( + self, + thread: ThreadMetadata, + action: Action[str, Any], + sender: WidgetItem | None, + context: dict[str, Any], + ) -> AsyncIterator[ThreadStreamEvent]: + """Handle widget actions from the frontend. + This method processes actions triggered by interactive widgets, + such as city selection from the city selector widget. + """ + global _last_weather_data + + if action.type == "city_selected": + # Extract city information from the action payload + city_label = action.payload.get("city_label", "Unknown") + + # Debug logging + print(f"[DEBUG] City selected action received") + print(f"[DEBUG] Action payload: {action.payload}") + print(f"[DEBUG] City label: {city_label}") + + # Reset weather data + _last_weather_data = None + + # Create an agent message asking about the weather + agent_messages = [ChatMessage(role=Role.USER, text=f"What's the weather in {city_label}?")] + + print(f"[DEBUG] Sending message to agent: {agent_messages[0].text}") + + # Run the Agent Framework agent with streaming + response_stream = self.weather_agent.run_stream(agent_messages) + + # Convert Agent Framework response to ChatKit events + async for event in stream_agent_response(response_stream, thread.id): + yield event + + # If weather data was collected during the tool call, create a widget + print(f"[DEBUG] After streaming, _last_weather_data: {_last_weather_data}") + if _last_weather_data is not None: + print(f"[DEBUG] Creating weather widget for: {_last_weather_data.location}") + # 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I'm your weather assistant. Ask me about the weather in any location.", prompts: [ { label: "Weather in New York", prompt: "What's the weather in New York?" }, - { label: "Weather in London", prompt: "Tell me the weather in London" }, + { label: "Select City to Get Weather", prompt: "Show me the city selector for weather" }, { label: "Current Time", prompt: "What time is it?" }, ], }, diff --git a/python/samples/chatkit-integration/weather_widget.py b/python/samples/chatkit-integration/weather_widget.py index 55deaabd33..834f7a031d 100644 --- a/python/samples/chatkit-integration/weather_widget.py +++ b/python/samples/chatkit-integration/weather_widget.py @@ -5,11 +5,30 @@ import base64 from dataclasses import dataclass -from chatkit.widgets import Box, Card, Col, Image, Row, Text, Title, WidgetRoot +from chatkit.actions import ActionConfig +from chatkit.widgets import Box, Button, Card, Col, Image, Row, Text, Title, WidgetRoot WEATHER_ICON_COLOR = "#1D4ED8" WEATHER_ICON_ACCENT = "#DBEAFE" +# Popular cities for the selector +POPULAR_CITIES = [ + {"value": "seattle", "label": "Seattle, WA", "description": "Pacific Northwest"}, + {"value": "new_york", "label": "New York, NY", "description": "East Coast"}, + {"value": "san_francisco", "label": "San Francisco, CA", "description": "Bay Area"}, + {"value": "chicago", "label": "Chicago, IL", "description": "Midwest"}, + {"value": "miami", "label": "Miami, FL", "description": "Southeast"}, + {"value": "austin", "label": "Austin, TX", "description": "Southwest"}, + {"value": "boston", "label": "Boston, MA", "description": "New England"}, + {"value": "denver", "label": "Denver, CO", "description": "Mountain West"}, + {"value": "portland", "label": "Portland, OR", "description": "Pacific Northwest"}, + {"value": "atlanta", "label": "Atlanta, GA", "description": "Southeast"}, +] + +# Mapping from city values to display names for weather queries +CITY_VALUE_TO_NAME = {city["value"]: city["label"] for city in POPULAR_CITIES} + + def _sun_svg() -> str: """Generate SVG for sunny weather icon.""" @@ -288,3 +307,131 @@ def weather_widget_copy_text(data: WeatherData) -> str: f"• Humidity: {data.humidity}%\n" f"• Wind: {data.wind_speed} km/h" ) + + +def render_city_selector_widget() -> WidgetRoot: + """Render an interactive city selector widget. + + This widget displays popular cities as a visual selection interface. + Users can click or ask about any city to get weather information. + + Returns: + A ChatKit WidgetRoot (Card) with city selection display + """ + # Create location icon SVG + location_icon = _encode_svg( + '' + f'' + f'' + "" + ) + + # Header section + header = Box( + padding=5, + background="surface-tertiary", + children=[ + Row( + gap=3, + align="center", + children=[ + Box( + padding=3, + radius="full", + background="blue-100", + children=[ + Image( + src=location_icon, + alt="Location", + size=28, + fit="contain", + ) + ], + ), + Col( + align="start", + gap=1, + children=[ + Title( + value="Popular Cities", + size="md", + weight="semibold", + ), + Text( + value="Select a city or ask about any location", + color="tertiary", + size="xs", + ), + ], + ), + ], + ), + ], + ) + + # Create city chips in a grid layout + city_chips: list[Button] = [] + for city in POPULAR_CITIES: + # Create a button that sends an action to query weather for the selected city + chip = Button( + label=city["label"], + variant="outline", + size="md", + onClickAction=ActionConfig( + type="city_selected", + payload={"city_value": city["value"], "city_label": city["label"]}, + handler="server", # Handle on server-side + ), + ) + city_chips.append(chip) + + # Arrange in rows of 3 + city_rows: list[Row] = [] + for i in range(0, len(city_chips), 3): + row_chips: list[Button] = city_chips[i : i + 3] + city_rows.append( + Row( + gap=3, + wrap="wrap", + justify="start", + children=list(row_chips), # Convert to generic list + ) + ) + + # Cities display section + cities_section = Box( + padding=5, + gap=3, + children=[ + *city_rows, + Box( + padding=3, + radius="md", + background="blue-50", + children=[ + Text( + value="💡 Click any city to get its weather, or ask about any other location!", + size="xs", + color="secondary", + ), + ], + ), + ], + ) + + return Card( + key="city_selector", + padding=0, + children=[header, cities_section], + ) + + +def city_selector_copy_text() -> str: + """Generate plain text representation of city selector. + + Returns: + Plain text description for copy/paste functionality + """ + cities_list = "\n".join([f"• {city['label']}" for city in POPULAR_CITIES]) + return f"Popular cities (click to get weather):\n{cities_list}\n\nYou can also ask about weather in any other location!" From cfa5bdf53f2b8764b22339c00d8071fce79632af Mon Sep 17 00:00:00 2001 From: Eric Zhu Date: Thu, 23 Oct 2025 11:10:07 -0700 Subject: [PATCH 16/29] remove widget helper --- python/packages/chatkit/README.md | 2 - .../agent_framework_chatkit/__init__.py | 2 - .../agent_framework_chatkit/_widgets.py | 44 ------------------- python/samples/chatkit-integration/README.md | 8 ++-- python/samples/chatkit-integration/app.py | 41 +++++++++++++++-- 5 files changed, 42 insertions(+), 55 deletions(-) delete mode 100644 python/packages/chatkit/agent_framework_chatkit/_widgets.py diff --git a/python/packages/chatkit/README.md b/python/packages/chatkit/README.md index e08459508d..4590f6d71e 100644 --- a/python/packages/chatkit/README.md +++ b/python/packages/chatkit/README.md @@ -6,8 +6,6 @@ Specifically, it mirrors the [Agent SDK integration](https://github.com/openai/c - `stream_agent_response`: A helper to convert a streamed `AgentRunResponseUpdate` from a Microsoft Agent Framework agent that implements `AgentProtocol` to ChatKit events. -- `stream_widget`: A helper to stream ChatKit widget events triggered by the agent, typically - as effects of tool calls. - `ThreadItemConverter`: A extendable helper class to convert ChatKit thread items to `ChatMessage` objects that can be consumed by an Agent Framework agent. - `simple_to_agent_input`: A helper function that uses the default implementation diff --git a/python/packages/chatkit/agent_framework_chatkit/__init__.py b/python/packages/chatkit/agent_framework_chatkit/__init__.py index 315323bb23..8c01a6dfad 100644 --- a/python/packages/chatkit/agent_framework_chatkit/__init__.py +++ b/python/packages/chatkit/agent_framework_chatkit/__init__.py @@ -11,7 +11,6 @@ from ._converter import ThreadItemConverter, simple_to_agent_input from ._streaming import stream_agent_response -from ._widgets import stream_widget try: __version__ = importlib.metadata.version(__name__) @@ -23,5 +22,4 @@ "__version__", "simple_to_agent_input", "stream_agent_response", - "stream_widget", ] diff --git a/python/packages/chatkit/agent_framework_chatkit/_widgets.py b/python/packages/chatkit/agent_framework_chatkit/_widgets.py deleted file mode 100644 index c51299ab43..0000000000 --- a/python/packages/chatkit/agent_framework_chatkit/_widgets.py +++ /dev/null @@ -1,44 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - -"""Widget utilities for creating and streaming ChatKit widgets from Agent Framework.""" - -from collections.abc import AsyncIterator -from datetime import datetime -from typing import Callable - -from chatkit.server import StoreItemType, default_generate_id -from chatkit.types import ThreadItemDoneEvent, ThreadStreamEvent, WidgetItem -from chatkit.widgets import WidgetRoot - - -async def stream_widget( - thread_id: str, - widget: WidgetRoot, - copy_text: str | None = None, - generate_id: Callable[[StoreItemType], str] = default_generate_id, -) -> AsyncIterator[ThreadStreamEvent]: - """Stream a ChatKit widget as a ThreadStreamEvent. - - This helper function creates a ChatKit widget item and yields it as a - ThreadItemDoneEvent that can be consumed by the ChatKit UI. - - Args: - thread_id: The ChatKit thread ID for the conversation. - widget: The ChatKit widget to display. - copy_text: Optional text representation of the widget for copy/paste. - generate_id: Optional function to generate IDs for ChatKit items. - - Yields: - ThreadStreamEvent: ChatKit event containing the widget. - """ - item_id = generate_id("message") - - widget_item = WidgetItem( - id=item_id, - thread_id=thread_id, - created_at=datetime.now(), - widget=widget, - copy_text=copy_text, - ) - - yield ThreadItemDoneEvent(type="thread.item.done", item=widget_item) diff --git a/python/samples/chatkit-integration/README.md b/python/samples/chatkit-integration/README.md index 16aad05417..d98e9d08b7 100644 --- a/python/samples/chatkit-integration/README.md +++ b/python/samples/chatkit-integration/README.md @@ -177,8 +177,8 @@ def render_weather_widget(data: WeatherData) -> WidgetRoot: # Creates a Card widget with weather information return Card(key="weather", padding=0, children=[...]) -# app.py - Integration with agent -from agent_framework_chatkit import stream_widget +# app.py - Usage with agent and widget streaming +# The stream_widget() helper function is defined directly in app.py # After agent response, create and stream widget widget = render_weather_widget(weather_data) @@ -186,13 +186,13 @@ async for event in stream_widget(thread_id=thread.id, widget=widget): yield event ``` -The `agent_framework_chatkit` package provides the `stream_widget()` helper that: +The `stream_widget()` helper function in `app.py`: - Creates a `WidgetItem` with the provided widget - Wraps it in a `ThreadItemDoneEvent` - Yields it as a ChatKit stream event -This approach keeps the widget logic separate from the agent logic while maintaining clean integration. +This approach demonstrates widget streaming directly in application code, keeping it simple and easy to customize. ## Project Structure diff --git a/python/samples/chatkit-integration/app.py b/python/samples/chatkit-integration/app.py index 84cfb6cfee..0e020245cc 100644 --- a/python/samples/chatkit-integration/app.py +++ b/python/samples/chatkit-integration/app.py @@ -12,7 +12,7 @@ from collections.abc import AsyncIterator from datetime import datetime, timezone from random import randint -from typing import Annotated, Any +from typing import Annotated, Any, Callable import uvicorn from azure.identity import AzureCliCredential @@ -24,12 +24,14 @@ # Agent Framework imports from agent_framework import ChatAgent, ChatMessage, Role from agent_framework.azure import AzureOpenAIChatClient -from agent_framework_chatkit import simple_to_agent_input, stream_agent_response, stream_widget +from agent_framework.chatkit import simple_to_agent_input, stream_agent_response # ChatKit imports from chatkit.actions import Action +from chatkit.store import StoreItemType, default_generate_id from chatkit.server import ChatKitServer -from chatkit.types import ThreadMetadata, ThreadStreamEvent, UserMessageItem, WidgetItem +from chatkit.types import ThreadItemDoneEvent, ThreadMetadata, ThreadStreamEvent, UserMessageItem, WidgetItem +from chatkit.widgets import WidgetRoot # Local imports from store import SQLiteStore @@ -48,6 +50,39 @@ _show_city_selector: bool = False +async def stream_widget( + thread_id: str, + widget: WidgetRoot, + copy_text: str | None = None, + generate_id: Callable[[StoreItemType], str] = default_generate_id, +) -> AsyncIterator[ThreadStreamEvent]: + """Stream a ChatKit widget as a ThreadStreamEvent. + + This helper function creates a ChatKit widget item and yields it as a + ThreadItemDoneEvent that can be consumed by the ChatKit UI. + + Args: + thread_id: The ChatKit thread ID for the conversation. + widget: The ChatKit widget to display. + copy_text: Optional text representation of the widget for copy/paste. + generate_id: Optional function to generate IDs for ChatKit items. + + Yields: + ThreadStreamEvent: ChatKit event containing the widget. + """ + item_id = generate_id("message") + + widget_item = WidgetItem( + id=item_id, + thread_id=thread_id, + created_at=datetime.now(), + widget=widget, + copy_text=copy_text, + ) + + yield ThreadItemDoneEvent(type="thread.item.done", item=widget_item) + + def get_weather( location: Annotated[str, Field(description="The location to get the weather for.")], ) -> str: From a5652322a11f3697f0c59d94605c8556c204975a Mon Sep 17 00:00:00 2001 From: Eric Zhu Date: Thu, 23 Oct 2025 13:11:13 -0700 Subject: [PATCH 17/29] update chatkit to include file attachments and cover more thread item types --- python/packages/chatkit/.gitignore | 3 +- .../agent_framework_chatkit/_converter.py | 578 ++++++++++++++++-- .../packages/chatkit/tests/test_converter.py | 377 ++++++++++-- python/samples/chatkit-integration/.gitignore | 3 +- python/samples/chatkit-integration/README.md | 323 ++++------ python/samples/chatkit-integration/app.py | 300 +++++++-- .../chatkit-integration/attachment_store.py | 121 ++++ .../chatkit-integration/frontend/src/App.tsx | 11 +- 8 files changed, 1354 insertions(+), 362 deletions(-) create mode 100644 python/samples/chatkit-integration/attachment_store.py diff --git a/python/packages/chatkit/.gitignore b/python/packages/chatkit/.gitignore index 91480eb8dd..ae3d2207de 100644 --- a/python/packages/chatkit/.gitignore +++ b/python/packages/chatkit/.gitignore @@ -1,2 +1,3 @@ chatkit-python -openai-chatkit-advanced-samples \ No newline at end of file +openai-chatkit-advanced-samples +chatkit-js \ No newline at end of file diff --git a/python/packages/chatkit/agent_framework_chatkit/_converter.py b/python/packages/chatkit/agent_framework_chatkit/_converter.py index 91ce509dcf..e5df7ba761 100644 --- a/python/packages/chatkit/agent_framework_chatkit/_converter.py +++ b/python/packages/chatkit/agent_framework_chatkit/_converter.py @@ -2,10 +2,36 @@ """Converter utilities for converting ChatKit thread items to Agent Framework messages.""" -from typing import Any +import logging +from collections.abc import Awaitable, Callable, Sequence +from typing import assert_never -from agent_framework import ChatMessage, Role -from chatkit.types import UserMessageItem +from agent_framework import ( + ChatMessage, + DataContent, + FunctionCallContent, + FunctionResultContent, + Role, + TextContent, + UriContent, +) +from chatkit.types import ( + AssistantMessageItem, + Attachment, + ClientToolCallItem, + EndOfTurnItem, + HiddenContextItem, + ImageAttachment, + TaskItem, + ThreadItem, + UserMessageItem, + UserMessageTagContent, + UserMessageTextContent, + WidgetItem, + WorkflowItem, +) + +logger = logging.getLogger(__name__) class ThreadItemConverter: @@ -14,81 +40,559 @@ class ThreadItemConverter: This class provides a base implementation for converting ChatKit thread items to Agent Framework messages. It can be extended to handle attachments, @-mentions, hidden context items, and custom thread item formats. + + Args: + attachment_data_fetcher: Optional async function to fetch attachment binary data. + If provided, it should take an attachment ID and return the binary data as bytes. + If not provided, attachments will be converted to UriContent using available URLs. """ - async def to_agent_input(self, input_item: UserMessageItem | None) -> list[ChatMessage]: - """Convert a ChatKit UserMessageItem to a list of Agent Framework ChatMessage objects. + def __init__( + self, + attachment_data_fetcher: Callable[[str], Awaitable[bytes]] | None = None, + ) -> None: + """Initialize the converter. Args: - input_item: The ChatKit user message item to convert. + attachment_data_fetcher: Optional async function to fetch attachment data by ID. + """ + self.attachment_data_fetcher = attachment_data_fetcher + + async def user_message_to_input( + self, item: UserMessageItem, is_last_message: bool = True + ) -> ChatMessage | list[ChatMessage] | None: + """Convert a ChatKit UserMessageItem to Agent Framework ChatMessage(s). + + This method is called internally by `to_agent_input()`. Override this method + to customize how user messages are converted. + + Args: + item: The ChatKit user message item to convert. + is_last_message: Whether this is the last message in the thread (used for quoted_text handling). Returns: - A list of ChatMessage objects that can be consumed by an Agent Framework agent. - """ - if input_item is None: - return [] + A ChatMessage, list of messages, or None to skip. + Note: + Instead of calling this method directly, use `to_agent_input()` which handles + all ThreadItem types and provides proper message ordering. + """ # Extract text content from the user message text_content = "" - if input_item.content: - for content_part in input_item.content: - if hasattr(content_part, "text"): + if item.content: + for content_part in item.content: + if isinstance(content_part, UserMessageTextContent): text_content += content_part.text - if not text_content.strip(): - return [] + # Convert attachments to DataContent or UriContent + data_contents: list[DataContent | UriContent] = [] + if item.attachments: + for attachment in item.attachments: + content = await self.attachment_to_message_content(attachment) + if content is not None: + data_contents.append(content) + + # Create the message with text and attachments + if not text_content.strip() and not data_contents: + return None + + # If only text and no attachments, use text parameter for simplicity + if text_content.strip() and not data_contents: + user_message = ChatMessage(role=Role.USER, text=text_content.strip()) + else: + # Build contents list with both text and attachments + contents: list[TextContent | DataContent | UriContent] = [] + if text_content.strip(): + contents.append(TextContent(text=text_content.strip())) + contents.extend(data_contents) + user_message = ChatMessage(role=Role.USER, contents=contents) + + # Handle quoted text if this is the last message + messages = [user_message] + if item.quoted_text and is_last_message: + quoted_context = ChatMessage( + role=Role.USER, + text=f"The user is referring to this in particular:\n{item.quoted_text}", + ) + # Prepend quoted context before the main message + messages.insert(0, quoted_context) - return [ChatMessage(role=Role.USER, text=text_content.strip())] + return messages - async def attachment_to_message_content(self, attachment: Any) -> Any: - """Convert a ChatKit attachment to Agent Framework message content. + async def attachment_to_message_content(self, attachment: Attachment) -> DataContent | UriContent | None: + """Convert a ChatKit attachment to Agent Framework content. - This is a placeholder method that should be overridden in subclasses - to handle specific attachment types and storage implementations. + This method is called internally by `user_message_to_input()` to handle attachments. + Override this method to customize attachment handling for your storage backend. + + The default implementation provides two strategies: + 1. If an attachment_data_fetcher was provided, it fetches the binary data + and creates a DataContent object + 2. Otherwise, for ImageAttachment with preview_url, it creates a UriContent object + + For FileAttachment without a data fetcher, returns None (attachment is skipped). Args: - attachment: The ChatKit attachment to convert. + attachment: The ChatKit attachment to convert (FileAttachment or ImageAttachment). Returns: - Agent Framework message content representing the attachment. + DataContent if binary data is available, UriContent if only URL is available, + or None if the attachment cannot be converted. + + Note: + Instead of calling this method directly, use `to_agent_input()` which handles + all ThreadItem types including attachments within user messages. + + Examples: + .. code-block:: python + + # With data fetcher + async def fetch_data(attachment_id: str) -> bytes: + return await my_storage.get_file(attachment_id) + + + converter = ThreadItemConverter(attachment_data_fetcher=fetch_data) + messages = await converter.to_agent_input(thread_items) + + # Without data fetcher (uses URLs for images) + converter = ThreadItemConverter() + messages = await converter.to_agent_input(thread_items) """ - raise NotImplementedError("Subclasses should implement attachment handling") + # If we have a data fetcher, use it to get binary data + if self.attachment_data_fetcher is not None: + try: + data = await self.attachment_data_fetcher(attachment.id) + return DataContent(data=data, media_type=attachment.mime_type) + except Exception as e: + # If fetch fails, fall through to URL-based approach + logger.debug(f"Failed to fetch attachment data for {attachment.id}: {e}") + + # For ImageAttachment, try to use preview_url + if isinstance(attachment, ImageAttachment) and attachment.preview_url: + return UriContent(uri=str(attachment.preview_url), media_type=attachment.mime_type) + + # For FileAttachment without data fetcher, skip the attachment + # Subclasses can override this method to provide custom handling + return None + + def hidden_context_to_input(self, item: HiddenContextItem) -> ChatMessage | list[ChatMessage] | None: + """Convert a ChatKit HiddenContextItem to Agent Framework ChatMessage(s). + + This method is called internally by `to_agent_input()`. Override this method + to customize how hidden context is converted. - def hidden_context_to_input(self, item: Any) -> ChatMessage: - """Convert a ChatKit HiddenContextItem to an Agent Framework ChatMessage. + The default implementation wraps the hidden context in XML tags and returns + a system message. This allows the model to distinguish hidden context from + regular conversation. Args: item: The ChatKit hidden context item to convert. Returns: - A ChatMessage with system role containing the hidden context. + A ChatMessage with system role, a list of messages, or None to skip. + + Note: + Instead of calling this method directly, use `to_agent_input()` which handles + all ThreadItem types and provides proper message ordering. + + Examples: + .. code-block:: python + + # Default behavior + converter = ThreadItemConverter() + hidden_item = HiddenContextItem( + id="ctx_1", + thread_id="thread_1", + created_at=datetime.now(), + content="User's email: user@example.com", + ) + message = converter.hidden_context_to_input(hidden_item) + # Returns: ChatMessage(role=SYSTEM, text="User's email: ...") """ return ChatMessage(role=Role.SYSTEM, text=f"{item.content}") - def tag_to_message_content(self, tag: Any) -> str: - """Convert a ChatKit tag (@-mention) to message content. + def tag_to_message_content(self, tag: UserMessageTagContent) -> TextContent: + """Convert a ChatKit tag (@-mention) to Agent Framework content. + + This method is called internally by `user_message_to_input()` to handle tags. + Override this method to customize tag conversion for your application. + + The default implementation extracts the tag's display name and wraps it in + XML tags to provide context to the model about the @-mention. + + Args: + tag: The ChatKit tag content to convert. + + Returns: + TextContent with the tag information. + + Note: + Instead of calling this method directly, use `to_agent_input()` which handles + all ThreadItem types including tags within user messages. + + Examples: + .. code-block:: python + + # Default behavior + converter = ThreadItemConverter() + tag = UserMessageTagContent( + type="input_tag", id="tag_1", text="john", data={"name": "John Doe"}, interactive=False + ) + content = converter.tag_to_message_content(tag) + # Returns: TextContent(text="Name:John Doe") + """ + name = getattr(tag.data, "name", tag.text if hasattr(tag, "text") else "unknown") + return TextContent(text=f"Name:{name}") + + def task_to_input(self, item: TaskItem) -> ChatMessage | list[ChatMessage] | None: + """Convert a ChatKit TaskItem to Agent Framework ChatMessage(s). + + This method is called internally by `to_agent_input()`. Override this method + to customize how tasks are converted. + + The default implementation converts custom tasks with title/content into + a user message explaining what task was displayed to the user. + + Args: + item: The ChatKit task item to convert. + + Returns: + A ChatMessage, a list of messages, or None to skip the task. + + Note: + Instead of calling this method directly, use `to_agent_input()` which handles + all ThreadItem types and provides proper message ordering. + + Examples: + .. code-block:: python + + # Task with both title and content + from chatkit.types import Task + + task_item = TaskItem( + id="task_1", + thread_id="thread_1", + created_at=datetime.now(), + task=Task(type="custom", title="Data Analysis", content="Analyzed sales data"), + ) + message = converter.task_to_input(task_item) + # Returns message explaining the task was performed + """ + if item.task.type != "custom" or (not item.task.title and not item.task.content): + return None + + title = item.task.title or "" + content = item.task.content or "" + task_text = f"{title}: {content}" if title and content else title or content + text = ( + f"A message was displayed to the user that the following task was performed:\n\n{task_text}\n" + ) + + return ChatMessage(role=Role.USER, text=text) + + def workflow_to_input(self, item: WorkflowItem) -> ChatMessage | list[ChatMessage] | None: + """Convert a ChatKit WorkflowItem to Agent Framework ChatMessage(s). + + This method is called internally by `to_agent_input()`. Override this method + to customize how workflows are converted. + + The default implementation converts each custom task in the workflow into + a separate user message explaining what tasks were performed. + + Args: + item: The ChatKit workflow item to convert. + + Returns: + A list of ChatMessages (one per task), a single message, or None to skip. + + Note: + Instead of calling this method directly, use `to_agent_input()` which handles + all ThreadItem types and provides proper message ordering. + + Examples: + .. code-block:: python + + # Workflow with multiple tasks + from chatkit.types import Workflow, Task + + workflow_item = WorkflowItem( + id="wf_1", + thread_id="thread_1", + created_at=datetime.now(), + workflow=Workflow( + type="custom", + tasks=[ + Task(type="custom", title="Step 1", content="Gathered data"), + Task(type="custom", title="Step 2", content="Analyzed results"), + ], + ), + ) + messages = converter.workflow_to_input(workflow_item) + # Returns list of messages for each task + """ + messages: list[ChatMessage] = [] + for task in item.workflow.tasks: + if task.type != "custom" or (not task.title and not task.content): + continue + + title = task.title or "" + content = task.content or "" + task_text = f"{title}: {content}" if title and content else title or content + text = ( + "A message was displayed to the user that the following task was performed:\n" + f"\n{task_text}\n" + ) + + messages.append(ChatMessage(role=Role.USER, text=text)) + + return messages if messages else None + + def widget_to_input(self, item: WidgetItem) -> ChatMessage | list[ChatMessage] | None: + """Convert a ChatKit WidgetItem to Agent Framework ChatMessage(s). + + This method is called internally by `to_agent_input()`. Override this method + to customize how widgets are converted. + + The default implementation converts the widget to a JSON representation + and includes it in a user message, allowing the model to understand what + UI element was displayed to the user. Args: - tag: The ChatKit tag to convert. + item: The ChatKit widget item to convert. Returns: - String representation of the tag for inclusion in message content. + A ChatMessage describing the widget, or None to skip. + + Note: + Instead of calling this method directly, use `to_agent_input()` which handles + all ThreadItem types and provides proper message ordering. + + Examples: + .. code-block:: python + + # Widget item + from chatkit.widgets import Card, Text + + widget_item = WidgetItem( + id="widget_1", + thread_id="thread_1", + created_at=datetime.now(), + widget=Card(children=[Text(value="Hello")]), + ) + message = converter.widget_to_input(widget_item) + # Returns message with JSON representation of the widget + """ + try: + widget_json = item.widget.model_dump_json(exclude_unset=True, exclude_none=True) + text = f"The following graphical UI widget (id: {item.id}) was displayed to the user:{widget_json}" + return ChatMessage(role=Role.USER, text=text) + except Exception: + # If JSON serialization fails, skip the widget + return None + + async def assistant_message_to_input(self, item: AssistantMessageItem) -> ChatMessage | list[ChatMessage] | None: + """Convert a ChatKit AssistantMessageItem to Agent Framework ChatMessage(s). + + The default implementation extracts text from all content parts and creates + an assistant message. + + Args: + item: The ChatKit assistant message item to convert. + + Returns: + A ChatMessage with assistant role, or None to skip. + + Note: + Instead of calling this method directly, use `to_agent_input()` which handles + all ThreadItem types and provides proper message ordering. """ - return f"Name:{getattr(tag.data, 'name', 'unknown')}" + # Extract text from all content parts + text_parts = [content.text for content in item.content] + if not text_parts: + return None + return ChatMessage(role=Role.ASSISTANT, text="".join(text_parts)) + + async def client_tool_call_to_input(self, item: ClientToolCallItem) -> ChatMessage | list[ChatMessage] | None: + """Convert a ChatKit ClientToolCallItem to Agent Framework ChatMessage(s). + + The default implementation converts completed tool calls into function call + and result content. + + Args: + item: The ChatKit client tool call item to convert. + + Returns: + A list containing function call and result messages, or None for pending calls. + + Note: + Instead of calling this method directly, use `to_agent_input()` which handles + all ThreadItem types and provides proper message ordering. + """ + if item.status == "pending": + # Skip pending tool calls - they cannot be sent to the model + return None + + import json + + # Create function call message + function_call_msg = ChatMessage( + role=Role.ASSISTANT, + contents=[ + FunctionCallContent( + call_id=item.call_id, + name=item.name, + arguments=json.dumps(item.arguments), + ) + ], + ) + + # Create function result message + function_result_msg = ChatMessage( + role=Role.TOOL, + contents=[ + FunctionResultContent( + call_id=item.call_id, + result=json.dumps(item.output) if item.output is not None else "", + ) + ], + ) + + return [function_call_msg, function_result_msg] + + async def end_of_turn_to_input(self, item: EndOfTurnItem) -> ChatMessage | list[ChatMessage] | None: + """Convert a ChatKit EndOfTurnItem to Agent Framework ChatMessage(s). + + The default implementation skips end-of-turn markers as they are only UI hints. + + Args: + item: The ChatKit end-of-turn item to convert. -async def simple_to_agent_input(input_item: UserMessageItem | None) -> list[ChatMessage]: + Returns: + None (end-of-turn items are not converted). + + Note: + Instead of calling this method directly, use `to_agent_input()` which handles + all ThreadItem types and provides proper message ordering. + """ + # End-of-turn is only used for UI hints - skip it + return None + + async def _thread_item_to_input_item( + self, + item: ThreadItem, + is_last_message: bool = True, + ) -> list[ChatMessage]: + """Internal method to convert a single ThreadItem to ChatMessage(s). + + Args: + item: The thread item to convert. + is_last_message: Whether this is the last item in the thread. + + Returns: + A list of ChatMessage objects (may be empty). + """ + match item: + case UserMessageItem(): + out = await self.user_message_to_input(item, is_last_message) or [] + return out if isinstance(out, list) else [out] + case AssistantMessageItem(): + out = await self.assistant_message_to_input(item) or [] + return out if isinstance(out, list) else [out] + case ClientToolCallItem(): + out = await self.client_tool_call_to_input(item) or [] + return out if isinstance(out, list) else [out] + case EndOfTurnItem(): + out = await self.end_of_turn_to_input(item) or [] + return out if isinstance(out, list) else [out] + case WidgetItem(): + out = self.widget_to_input(item) or [] + return out if isinstance(out, list) else [out] + case WorkflowItem(): + out = self.workflow_to_input(item) or [] + return out if isinstance(out, list) else [out] + case TaskItem(): + out = self.task_to_input(item) or [] + return out if isinstance(out, list) else [out] + case HiddenContextItem(): + out = self.hidden_context_to_input(item) or [] + return out if isinstance(out, list) else [out] + case _: + assert_never(item) + + async def to_agent_input( + self, + thread_items: Sequence[ThreadItem] | ThreadItem, + ) -> list[ChatMessage]: + """Convert ChatKit thread items to Agent Framework ChatMessages. + + This is the main entry point for converting ChatKit thread items. It handles + all ThreadItem types (UserMessageItem, AssistantMessageItem, TaskItem, etc.) + and calls the appropriate conversion method for each. + + Args: + thread_items: A single ThreadItem or a sequence of ThreadItems to convert. + + Returns: + A list of ChatMessage objects that can be sent to an Agent Framework agent. + + Examples: + .. code-block:: python + + from agent_framework_chatkit import ThreadItemConverter + + converter = ThreadItemConverter() + + # Convert a single thread item + messages = await converter.to_agent_input(user_message_item) + + # Convert multiple thread items + messages = await converter.to_agent_input([user_message_item, assistant_message_item, task_item]) + + # Use with agent + from agent_framework import ChatAgent + + agent = ChatAgent(...) + response = await agent.run_stream(messages) + """ + thread_items = list(thread_items) if isinstance(thread_items, Sequence) else [thread_items] + + output: list[ChatMessage] = [] + for item in thread_items: + output.extend( + await self._thread_item_to_input_item( + item, + is_last_message=item is thread_items[-1], + ) + ) + return output + + +# Default converter instance +_DEFAULT_CONVERTER = ThreadItemConverter() + + +async def simple_to_agent_input(thread_items: Sequence[ThreadItem] | ThreadItem) -> list[ChatMessage]: """Helper function that uses the default ThreadItemConverter. This function provides a quick way to get started with ChatKit integration without needing to create a custom ThreadItemConverter instance. Args: - input_item: The ChatKit user message item to convert. + thread_items: A single ThreadItem or a sequence of ThreadItems to convert. Returns: - A list of ChatMessage objects that can be consumed by an Agent Framework agent. + A list of ChatMessage objects that can be sent to an Agent Framework agent. + + Examples: + .. code-block:: python + + from agent_framework_chatkit import simple_to_agent_input + + # Convert a single item + messages = await simple_to_agent_input(user_message_item) + + # Convert multiple items + messages = await simple_to_agent_input([user_message_item, assistant_message_item, task_item]) """ - # Use the default converter - converter = ThreadItemConverter() - return await converter.to_agent_input(input_item) + return await _DEFAULT_CONVERTER.to_agent_input(thread_items) diff --git a/python/packages/chatkit/tests/test_converter.py b/python/packages/chatkit/tests/test_converter.py index 61eeea328e..457017f647 100644 --- a/python/packages/chatkit/tests/test_converter.py +++ b/python/packages/chatkit/tests/test_converter.py @@ -5,7 +5,8 @@ from unittest.mock import Mock import pytest -from agent_framework import ChatMessage, Role +from agent_framework import ChatMessage, Role, TextContent +from chatkit.types import UserMessageTextContent from agent_framework_chatkit import ThreadItemConverter, simple_to_agent_input @@ -19,18 +20,25 @@ def converter(self): return ThreadItemConverter() async def test_to_agent_input_none(self, converter): - """Test converting None input returns empty list.""" - result = await converter.to_agent_input(None) + """Test converting empty list returns empty list.""" + result = await converter.to_agent_input([]) assert result == [] async def test_to_agent_input_with_text(self, converter): """Test converting user message with text content.""" - # Mock a ChatKit UserMessageItem - content_part = Mock() - content_part.text = "Hello, how can you help me?" + from datetime import datetime - input_item = Mock() - input_item.content = [content_part] + from chatkit.types import UserMessageItem + + input_item = UserMessageItem( + id="msg_1", + thread_id="thread_1", + created_at=datetime.now(), + type="user_message", + content=[UserMessageTextContent(text="Hello, how can you help me?")], + attachments=[], + inference_options={}, + ) result = await converter.to_agent_input(input_item) @@ -41,33 +49,60 @@ async def test_to_agent_input_with_text(self, converter): async def test_to_agent_input_empty_text(self, converter): """Test converting user message with empty or whitespace-only text.""" - content_part = Mock() - content_part.text = " " + from datetime import datetime + + from chatkit.types import UserMessageItem - input_item = Mock() - input_item.content = [content_part] + input_item = UserMessageItem( + id="msg_1", + thread_id="thread_1", + created_at=datetime.now(), + type="user_message", + content=[UserMessageTextContent(text=" ")], + attachments=[], + inference_options={}, + ) result = await converter.to_agent_input(input_item) assert result == [] async def test_to_agent_input_no_content(self, converter): """Test converting user message with no content.""" - input_item = Mock() - input_item.content = None + from datetime import datetime + + from chatkit.types import UserMessageItem + + input_item = UserMessageItem( + id="msg_1", + thread_id="thread_1", + created_at=datetime.now(), + type="user_message", + content=[], + attachments=[], + inference_options={}, + ) result = await converter.to_agent_input(input_item) assert result == [] async def test_to_agent_input_multiple_content_parts(self, converter): """Test converting user message with multiple text content parts.""" - content_part1 = Mock() - content_part1.text = "Hello " - - content_part2 = Mock() - content_part2.text = "world!" - - input_item = Mock() - input_item.content = [content_part1, content_part2] + from datetime import datetime + + from chatkit.types import UserMessageItem + + input_item = UserMessageItem( + id="msg_1", + thread_id="thread_1", + created_at=datetime.now(), + type="user_message", + content=[ + UserMessageTextContent(text="Hello "), + UserMessageTextContent(text="world!"), + ], + attachments=[], + inference_options={}, + ) result = await converter.to_agent_input(input_item) @@ -87,47 +122,301 @@ def test_hidden_context_to_input(self, converter): def test_tag_to_message_content(self, converter): """Test converting tag to message content.""" - tag_data = Mock() - tag_data.name = "user123" + from chatkit.types import UserMessageTagContent - tag = Mock() - tag.data = tag_data + tag = UserMessageTagContent( + type="input_tag", + id="tag_1", + text="john", + data={"name": "John Doe"}, + interactive=False, + ) result = converter.tag_to_message_content(tag) - assert result == "Name:user123" + assert isinstance(result, TextContent) + # Since data is a dict, getattr won't work, so it will fall back to text + assert result.text == "Name:john" def test_tag_to_message_content_no_name(self, converter): """Test converting tag with no name to message content.""" - tag_data = Mock() - del tag_data.name # Remove name attribute + from chatkit.types import UserMessageTagContent - tag = Mock() - tag.data = tag_data + tag = UserMessageTagContent( + type="input_tag", + id="tag_2", + text="jane", + data={}, + interactive=False, + ) result = converter.tag_to_message_content(tag) - assert result == "Name:unknown" + assert isinstance(result, TextContent) + assert result.text == "Name:jane" + + async def test_attachment_to_message_content_file_without_fetcher(self, converter): + """Test that FileAttachment without data fetcher returns None.""" + from chatkit.types import FileAttachment + + attachment = FileAttachment( + id="file_123", + name="document.pdf", + mime_type="application/pdf", + type="file", + ) + + result = await converter.attachment_to_message_content(attachment) + assert result is None + + async def test_attachment_to_message_content_image_with_preview_url(self, converter): + """Test that ImageAttachment with preview_url creates UriContent.""" + from agent_framework import UriContent + from chatkit.types import ImageAttachment + + attachment = ImageAttachment( + id="img_123", + name="photo.jpg", + mime_type="image/jpeg", + type="image", + preview_url="https://example.com/photo.jpg", + ) + + result = await converter.attachment_to_message_content(attachment) + assert isinstance(result, UriContent) + assert result.uri == "https://example.com/photo.jpg" + assert result.media_type == "image/jpeg" + + async def test_attachment_to_message_content_with_data_fetcher(self): + """Test attachment conversion with data fetcher.""" + from agent_framework import DataContent + from chatkit.types import FileAttachment + + # Mock data fetcher + async def fetch_data(attachment_id: str) -> bytes: + return b"file content data" + + converter = ThreadItemConverter(attachment_data_fetcher=fetch_data) + + attachment = FileAttachment( + id="file_123", + name="document.pdf", + mime_type="application/pdf", + type="file", + ) + + result = await converter.attachment_to_message_content(attachment) + assert isinstance(result, DataContent) + assert result.media_type == "application/pdf" + + async def test_to_agent_input_with_image_attachment(self): + """Test converting user message with text and image attachment.""" + from datetime import datetime + + from agent_framework import UriContent + from chatkit.types import ImageAttachment, UserMessageItem + + attachment = ImageAttachment( + id="img_123", + name="photo.jpg", + mime_type="image/jpeg", + type="image", + preview_url="https://example.com/photo.jpg", + ) + + input_item = UserMessageItem( + id="msg_1", + thread_id="thread_1", + created_at=datetime.now(), + type="user_message", + content=[UserMessageTextContent(text="Check out this photo!")], + attachments=[attachment], + inference_options={}, + ) + + converter = ThreadItemConverter() + result = await converter.to_agent_input(input_item) + + assert len(result) == 1 + message = result[0] + assert message.role == Role.USER + assert len(message.contents) == 2 + + # First content should be text + assert isinstance(message.contents[0], TextContent) + assert message.contents[0].text == "Check out this photo!" + + # Second content should be UriContent for the image + assert isinstance(message.contents[1], UriContent) + assert message.contents[1].uri == "https://example.com/photo.jpg" + assert message.contents[1].media_type == "image/jpeg" + + async def test_to_agent_input_with_file_attachment_and_fetcher(self): + """Test converting user message with file attachment using data fetcher.""" + from datetime import datetime + + from agent_framework import DataContent + from chatkit.types import FileAttachment, UserMessageItem + + attachment = FileAttachment( + id="file_123", + name="report.pdf", + mime_type="application/pdf", + type="file", + ) + + input_item = UserMessageItem( + id="msg_1", + thread_id="thread_1", + created_at=datetime.now(), + type="user_message", + content=[UserMessageTextContent(text="Here's the document")], + attachments=[attachment], + inference_options={}, + ) + + # Create converter with data fetcher + async def fetch_data(attachment_id: str) -> bytes: + return b"PDF content data" + + converter = ThreadItemConverter(attachment_data_fetcher=fetch_data) + result = await converter.to_agent_input(input_item) - async def test_attachment_to_message_content_not_implemented(self, converter): - """Test that attachment conversion raises NotImplementedError.""" - with pytest.raises(NotImplementedError): - await converter.attachment_to_message_content(Mock()) + assert len(result) == 1 + message = result[0] + assert len(message.contents) == 2 + + # First content should be text + assert isinstance(message.contents[0], TextContent) + + # Second content should be DataContent for the file + assert isinstance(message.contents[1], DataContent) + assert message.contents[1].media_type == "application/pdf" + + def test_task_to_input(self, converter): + """Test converting TaskItem to ChatMessage.""" + from datetime import datetime + + from chatkit.types import CustomTask, TaskItem + + task_item = TaskItem( + id="task_1", + thread_id="thread_1", + created_at=datetime.now(), + type="task", + task=CustomTask(type="custom", title="Analysis", content="Analyzed the data"), + ) + + result = converter.task_to_input(task_item) + assert isinstance(result, ChatMessage) + assert result.role == Role.USER + assert "Analysis: Analyzed the data" in result.text + assert "" in result.text + + def test_task_to_input_no_custom_task(self, converter): + """Test that non-custom tasks return None.""" + from datetime import datetime + + from chatkit.types import TaskItem, ThoughtTask + + task_item = TaskItem( + id="task_1", + thread_id="thread_1", + created_at=datetime.now(), + type="task", + task=ThoughtTask(type="thought", title="Think", content="Thinking..."), + ) + + result = converter.task_to_input(task_item) + assert result is None + + def test_workflow_to_input(self, converter): + """Test converting WorkflowItem to ChatMessages.""" + from datetime import datetime + + from chatkit.types import CustomTask, Workflow, WorkflowItem + + workflow_item = WorkflowItem( + id="wf_1", + thread_id="thread_1", + created_at=datetime.now(), + type="workflow", + workflow=Workflow( + type="custom", + tasks=[ + CustomTask(type="custom", title="Step 1", content="First step"), + CustomTask(type="custom", title="Step 2", content="Second step"), + ], + ), + ) + + result = converter.workflow_to_input(workflow_item) + assert isinstance(result, list) + assert len(result) == 2 + assert all(isinstance(msg, ChatMessage) for msg in result) + assert "Step 1: First step" in result[0].text + assert "Step 2: Second step" in result[1].text + + def test_workflow_to_input_empty(self, converter): + """Test that workflows with no custom tasks return None.""" + from datetime import datetime + + from chatkit.types import Workflow, WorkflowItem + + workflow_item = WorkflowItem( + id="wf_1", + thread_id="thread_1", + created_at=datetime.now(), + type="workflow", + workflow=Workflow(type="custom", tasks=[]), + ) + + result = converter.workflow_to_input(workflow_item) + assert result is None + + def test_widget_to_input(self, converter): + """Test converting WidgetItem to ChatMessage.""" + from datetime import datetime + + from chatkit.types import WidgetItem + from chatkit.widgets import Card, Text + + widget_item = WidgetItem( + id="widget_1", + thread_id="thread_1", + created_at=datetime.now(), + type="widget", + widget=Card(key="card1", children=[Text(value="Hello")]), + ) + + result = converter.widget_to_input(widget_item) + assert isinstance(result, ChatMessage) + assert result.role == Role.USER + assert "widget_1" in result.text + assert "graphical UI widget" in result.text class TestSimpleToAgentInput: """Tests for simple_to_agent_input helper function.""" - async def test_simple_to_agent_input_none(self): - """Test simple conversion with None input.""" - result = await simple_to_agent_input(None) + async def test_simple_to_agent_input_empty_list(self): + """Test simple conversion with empty list.""" + result = await simple_to_agent_input([]) assert result == [] async def test_simple_to_agent_input_with_text(self): """Test simple conversion with text content.""" - content_part = Mock() - content_part.text = "Test message" - - input_item = Mock() - input_item.content = [content_part] + from datetime import datetime + + from chatkit.types import UserMessageItem + + input_item = UserMessageItem( + id="msg_1", + thread_id="thread_1", + created_at=datetime.now(), + type="user_message", + content=[UserMessageTextContent(text="Test message")], + attachments=[], + inference_options={}, + ) result = await simple_to_agent_input(input_item) diff --git a/python/samples/chatkit-integration/.gitignore b/python/samples/chatkit-integration/.gitignore index c50ada2bf6..deb912b2f6 100644 --- a/python/samples/chatkit-integration/.gitignore +++ b/python/samples/chatkit-integration/.gitignore @@ -1,3 +1,4 @@ *.db *.db-shm -*.db-wal \ No newline at end of file +*.db-wal +uploads/ \ No newline at end of file diff --git a/python/samples/chatkit-integration/README.md b/python/samples/chatkit-integration/README.md index d98e9d08b7..4693bef7e3 100644 --- a/python/samples/chatkit-integration/README.md +++ b/python/samples/chatkit-integration/README.md @@ -1,44 +1,95 @@ -# ChatKit Integration Sample with Weather Agent +# ChatKit Integration Sample with Weather Agent and Image Analysis -This sample demonstrates how to integrate Microsoft Agent Framework with OpenAI ChatKit using a weather assistant with **interactive widget visualization**. It provides a minimal full-stack application with: +This sample demonstrates how to integrate Microsoft Agent Framework with OpenAI ChatKit. It provides a complete implementation of a weather assistant with interactive widget visualization, image analysis, and file upload support. -- **Backend**: FastAPI server using Agent Framework with Azure OpenAI -- **Frontend**: Minimal React + TypeScript UI using ChatKit React components -- **Features**: - - Weather information with beautiful interactive widgets - - Current time queries - - Chat interface with streaming responses - - Visual weather cards with conditions, temperature, humidity, and wind +**Features:** + +- Weather information with interactive widgets +- Image analysis using vision models +- Current time queries +- File upload with attachment storage +- Chat interface with streaming responses +- City selector widget with one-click weather ## Architecture ``` ┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐ │ React Frontend │ ───▶ │ FastAPI Backend │ ───▶ │ Azure OpenAI │ -│ (ChatKit UI) │ ◀─── │ (Agent Framework)│ ◀─── │ │ -│ │ │ + Widgets │ │ │ +│ (ChatKit UI) │ ◀─── │ (Agent Framework)│ ◀─── │ (GPT-4o) │ +│ + File Upload │ │ + Widgets │ │ with Vision │ └─────────────────┘ └──────────────────┘ └─────────────────┘ ``` -## Prerequisites +### Server Implementation + +The sample implements a ChatKit server using the `ChatKitServer` base class from the `chatkit` package: + +**Core Components:** + +- **`WeatherChatKitServer`**: Custom ChatKit server implementation that: + + - Extends `ChatKitServer[dict[str, Any]]` + - Uses Agent Framework's `ChatAgent` with Azure OpenAI + - Converts ChatKit messages to Agent Framework format using `ThreadItemConverter` + - Streams responses back to ChatKit using `stream_agent_response` + - Creates and streams interactive widgets after agent responses + +- **`SQLiteStore`**: Data persistence layer that: + + - Implements the `Store[dict[str, Any]]` protocol from ChatKit + - Persists threads, messages, and attachment metadata in SQLite + - Provides thread management and item history + - Stores attachment metadata for the upload lifecycle + +- **`FileBasedAttachmentStore`**: File storage implementation that: + - Implements the `AttachmentStore[dict[str, Any]]` protocol from ChatKit + - Stores uploaded files on the local filesystem (in `./uploads` directory) + - Generates upload URLs for two-phase file upload + - Saves attachment metadata to the data store for upload tracking + - Provides preview URLs for images + +**Key Integration Points:** + +```python +# Converting ChatKit messages to Agent Framework +converter = ThreadItemConverter( + attachment_data_fetcher=self._fetch_attachment_data +) +agent_messages = await converter.to_agent_input(user_message_item) + +# Running agent and streaming back to ChatKit +async for event in stream_agent_response( + self.weather_agent.run_stream(agent_messages), + thread_id=thread.id, +): + yield event + +# Streaming widgets +widget = render_weather_widget(weather_data) +async for event in stream_widget(thread_id=thread.id, widget=widget): + yield event +``` + +## Installation and Setup + +### Prerequisites - Python 3.10+ - Node.js 18.18+ and npm 9+ - Azure OpenAI service configured - Azure CLI for authentication (`az login`) -## Setup +### Backend Setup -### 1. Backend Setup - -Install the required Python packages: +1. **Install Python packages:** ```bash cd python/samples/chatkit-integration pip install agent-framework-chatkit fastapi uvicorn azure-identity ``` -Set your Azure OpenAI configuration: +2. **Configure Azure OpenAI:** ```bash export AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" @@ -46,13 +97,13 @@ export AZURE_OPENAI_API_VERSION="2024-06-01" export AZURE_OPENAI_CHAT_DEPLOYMENT_NAME="gpt-4o" ``` -Authenticate with Azure: +3. **Authenticate with Azure:** ```bash az login ``` -### 2. Frontend Setup +### Frontend Setup Install the Node.js dependencies: @@ -61,7 +112,7 @@ cd frontend npm install ``` -## Running the Application +## How to Run ### Start the Backend Server @@ -71,6 +122,12 @@ From the `chatkit-integration` directory: python app.py ``` +Or with auto-reload for development: + +```bash +uvicorn app:app --host 0.0.0.0 --port 8001 --reload +``` + The backend will start on `http://localhost:8001` ### Start the Frontend Development Server @@ -91,227 +148,63 @@ Open your browser and navigate to: http://localhost:5171 ``` -You should see the Weather Assistant interface where you can: +You can now: -- Ask about weather in any location - **Weather widgets will be displayed automatically!** +- Ask about weather in any location (weather widgets display automatically) +- Upload images for analysis using the attachment button - Get the current time -- Use the starter prompts or type your own queries -- View beautiful, interactive weather cards with icons and details - -## Features - -### Interactive Weather Widgets - -When you ask about weather, the assistant displays a beautiful interactive card showing: - -- **Location and weather condition** -- **Temperature** with a visual icon (sunny, cloudy, rainy, stormy, snowy, foggy) -- **Weather details**: Humidity percentage and wind speed -- **Clean, modern design** following ChatKit widget guidelines - -The widgets are created using ChatKit's widget system and are displayed alongside the text response. - -### City Selector Widget - -Ask the assistant to show you cities or list available locations, and it will display an interactive city selector widget featuring: - -- **Clickable city buttons**: Each city is a button that automatically asks for its weather -- **One-click weather**: Simply click a city name to get instant weather information -- **Popular locations**: 10 major US cities organized in an easy-to-browse grid -- **Regional coverage**: Cities from Pacific Northwest, East Coast, Bay Area, and more -- **Flexible input**: Users can still type to ask about any city worldwide - -Simply say "show me cities" or "what cities can I choose from?" to see the selector, then click any city! - -### Backend Components - -- **`app.py`**: Main FastAPI application with ChatKit integration and widget support -- **`weather_widget.py`**: Weather and city selector widget rendering with SVG icons and ChatKit components - - `render_weather_widget()`: Creates weather display cards - - `render_city_selector_widget()`: Creates city selection interface -- **`store.py`**: SQLite-based store for ChatKit data persistence -- **Weather Agent**: Uses Agent Framework with Azure OpenAI to provide weather information - -### Frontend Components - -- **Minimal UI**: Simple, clean interface focused on ChatKit integration -- **ChatKit Integration**: Full-featured chat interface with streaming responses and widget support -- **No Complex Dependencies**: Only React and ChatKit - no styling frameworks or extra libraries - -## How Widget Integration Works - -This sample demonstrates the full flow of creating interactive ChatKit widgets from Agent Framework: - -### Weather Widget Flow - -1. **User asks a question** (e.g., "What's the weather in Seattle?") -2. **Agent Framework agent** processes the request using Azure OpenAI -3. **Tool is invoked**: The `get_weather()` function is called with the location -4. **Data is collected**: Weather data (condition, temperature, humidity, wind) is stored -5. **Text response streams**: The agent provides a text description -6. **Widget is created**: After the text response, a ChatKit widget is rendered using: - - `render_weather_widget()`: Creates the widget structure with ChatKit components - - SVG icons for weather conditions - - Structured layout using Box, Card, Row, Col components -7. **Widget streams to frontend**: Using `stream_widget()` from agent_framework_chatkit - -### City Selector Widget Flow - -1. **User requests city list** (e.g., "show me available cities" or "what cities can I choose from?") -2. **Agent invokes tool**: The `show_city_selector()` function sets a flag -3. **Text response**: Agent confirms it will show the cities -4. **Widget is created**: After the text response, the city selector widget is rendered with clickable buttons -5. **Widget displays**: Shows a grid of clickable city buttons -6. **User clicks a city**: The button automatically sends a message "What's the weather in [City]?" -7. **Agent responds**: Processes the weather request and shows the weather widget - -The buttons use ChatKit's `ActionConfig` with type `add_user_message` to automatically submit the weather query when clicked. 7. **ChatKit UI displays**: The interactive widget appears alongside the text +- Ask to see available cities and click city buttons for instant weather -### Key Files for Widget Integration - -```python -# weather_widget.py - Widget rendering -from chatkit.widgets import Card, Box, Row, Col, Text, Title, Image - -def render_weather_widget(data: WeatherData) -> WidgetRoot: - # Creates a Card widget with weather information - return Card(key="weather", padding=0, children=[...]) - -# app.py - Usage with agent and widget streaming -# The stream_widget() helper function is defined directly in app.py - -# After agent response, create and stream widget -widget = render_weather_widget(weather_data) -async for event in stream_widget(thread_id=thread.id, widget=widget): - yield event -``` - -The `stream_widget()` helper function in `app.py`: - -- Creates a `WidgetItem` with the provided widget -- Wraps it in a `ThreadItemDoneEvent` -- Yields it as a ChatKit stream event - -This approach demonstrates widget streaming directly in application code, keeping it simple and easy to customize. - -## Project Structure +### Project Structure ``` chatkit-integration/ -├── app.py # FastAPI backend with Agent Framework -├── store.py # SQLite store implementation +├── app.py # FastAPI backend with ChatKitServer implementation +├── store.py # SQLiteStore implementation +├── attachment_store.py # FileBasedAttachmentStore implementation +├── weather_widget.py # Widget rendering functions ├── chatkit_demo.db # SQLite database (auto-created) -├── README.md # This file +├── uploads/ # Uploaded files directory (auto-created) └── frontend/ - ├── package.json # Node.js dependencies (minimal) - ├── vite.config.ts # Vite configuration - ├── tsconfig.json # TypeScript configuration - ├── index.html # HTML entry point with inline styles - ├── README.md # Frontend-specific documentation + ├── package.json + ├── vite.config.ts + ├── index.html └── src/ - ├── main.tsx # React entry point - ├── App.tsx # Main App component (ChatKit integration) - └── vite-env.d.ts # Vite type definitions -``` - -## Configuration - -### Backend Environment Variables - -- `AZURE_OPENAI_ENDPOINT`: Your Azure OpenAI endpoint URL -- `AZURE_OPENAI_API_VERSION`: API version (e.g., "2024-06-01") -- `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`: Your chat model deployment name - -### Frontend Environment Variables - -You can customize the frontend by creating a `.env` file in the `frontend` directory: - -```bash -# Optional: ChatKit domain key (use default for local development) -VITE_CHATKIT_API_DOMAIN_KEY=domain_pk_localhost_dev -``` - -The backend URL is configured in `frontend/vite.config.ts` and defaults to `http://127.0.0.1:8001`. - -## Development - -### Building for Production - -Backend: - -```bash -# The backend can be deployed using any ASGI server -uvicorn app:app --host 0.0.0.0 --port 8001 -``` - -Frontend: - -```bash -cd frontend -npm run build + ├── main.tsx + └── App.tsx # ChatKit UI integration ``` -The built files will be in `frontend/dist/` and can be served by any static file server. - -## Customization - -### Adding New Tools +### Configuration -To add new capabilities to the agent, add functions to `app.py`: +You can customize the application by editing constants at the top of `app.py`: ```python -def my_new_tool(param: str) -> str: - """Tool description for the LLM.""" - # Your tool implementation - return result - -# Add to the agent -weather_agent = ChatAgent( - chat_client=AzureOpenAIChatClient(credential=AzureCliCredential()), - instructions="...", - tools=[get_weather, get_time, my_new_tool], # Add your tool here -) -``` - -### Styling the Frontend - -The frontend is intentionally minimal with inline styles in `index.html`. To customize: - -- **Basic styling**: Edit the `