diff --git a/pyproject.toml b/pyproject.toml index 474c58f6e..91c119bad 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -33,6 +33,7 @@ dependencies = [ "uvicorn>=0.23.1; sys_platform != 'emscripten'", "jsonschema>=4.20.0", "pywin32>=310; sys_platform == 'win32'", + "tiktoken>=0.9.0", ] [project.optional-dependencies] @@ -59,6 +60,7 @@ dev = [ "pytest-pretty>=1.2.0", "inline-snapshot>=0.23.0", "dirty-equals>=0.9.0", + "pytest-asyncio>=1.1.0", ] docs = [ "mkdocs>=1.6.1", diff --git a/src/mcp/client/client_session_summarizing.py b/src/mcp/client/client_session_summarizing.py new file mode 100644 index 000000000..d569f17e4 --- /dev/null +++ b/src/mcp/client/client_session_summarizing.py @@ -0,0 +1,103 @@ +from datetime import timedelta +from typing import Any + +import tiktoken +from anyio.streams.memory import MemoryObjectReceiveStream, MemoryObjectSendStream + +from mcp.client.session import ClientSession +from mcp.shared.context import RequestContext +from mcp.shared.message import SessionMessage +from mcp.types import CreateMessageRequestParams, CreateMessageResult, SamplingMessage, TextContent + +DEFAULT_MAX_TOKENS = 4000 +DEFAULT_SUMMARIZE_THRESHOLD = 0.8 +DEFAULT_SUMMARY_PROMPT = "Summarize the following conversation succinctly, preserving key facts:\n\n" + + +class ClientSessionSummarizing(ClientSession): + def __init__( + self, + read_stream: MemoryObjectReceiveStream[SessionMessage | Exception], + write_stream: MemoryObjectSendStream[SessionMessage], + read_timeout_seconds: timedelta | None = None, + sampling_callback: Any | None = None, + elicitation_callback: Any | None = None, + list_roots_callback: Any | None = None, + logging_callback: Any | None = None, + message_handler: Any | None = None, + client_info: Any | None = None, + max_tokens: int | None = None, + summarize_threshold: float | None = None, + summary_prompt: str | None = None, + ) -> None: + super().__init__( + read_stream=read_stream, + write_stream=write_stream, + read_timeout_seconds=read_timeout_seconds, + sampling_callback=sampling_callback, + elicitation_callback=elicitation_callback, + list_roots_callback=list_roots_callback, + logging_callback=logging_callback, + message_handler=message_handler, + client_info=client_info, + ) + self.history: list[SamplingMessage] = [] + self.max_tokens = max_tokens or DEFAULT_MAX_TOKENS + self.summarize_threshold = summarize_threshold or DEFAULT_SUMMARIZE_THRESHOLD + self.summary_prompt = summary_prompt or DEFAULT_SUMMARY_PROMPT + # Override the sampling callback to include our summarization logic + self._sampling_callback = self._summarizing_sampling_callback + + async def _summarizing_sampling_callback( + self, + context: RequestContext["ClientSession", Any], + params: CreateMessageRequestParams, + ) -> CreateMessageResult: + """Custom sampling callback that includes summarization logic.""" + # Add messages to history + self.history.extend(params.messages) + + # Check if we need to summarize + if self.token_count() > self.max_tokens * self.summarize_threshold: + await self.summarize_context() + + # For now, return a simple response + # In a real implementation, you might want to call an LLM service here + return CreateMessageResult( + role="assistant", + content=TextContent(type="text", text="Message processed with summarization"), + model="summarizing-model", + stopReason="endTurn", + ) + + def token_count(self) -> int: + """Calculate token count for all messages in history.""" + tokenizer = tiktoken.get_encoding("cl100k_base") + total_tokens = 0 + + for message in self.history: + if isinstance(message.content, TextContent): + total_tokens += len(tokenizer.encode(message.content.text)) + elif isinstance(message.content, str): + total_tokens += len(tokenizer.encode(message.content)) + + return total_tokens + + async def summarize_context(self) -> None: + """Summarize the conversation history and replace it with a summary.""" + if not self.history: + return + + # Create a summary prompt from all messages + summary_text = self.summary_prompt + for message in self.history: + if isinstance(message.content, TextContent): + summary_text += f"{message.role}: {message.content.text}\n" + elif isinstance(message.content, str): + summary_text += f"{message.role}: {message.content}\n" + + # Create a summary message + summary_message = SamplingMessage(role="assistant", content=TextContent(type="text", text=summary_text)) + + # Replace history with summary + self.history = [summary_message] diff --git a/tests/client/test_client_session_summarizing.py b/tests/client/test_client_session_summarizing.py new file mode 100644 index 000000000..c6f64f4d9 --- /dev/null +++ b/tests/client/test_client_session_summarizing.py @@ -0,0 +1,196 @@ +from typing import Any + +import anyio +import pytest + +from mcp.client.client_session_summarizing import ( + DEFAULT_MAX_TOKENS, + DEFAULT_SUMMARIZE_THRESHOLD, + DEFAULT_SUMMARY_PROMPT, + ClientSessionSummarizing, +) +from mcp.shared.context import RequestContext +from mcp.types import ( + CreateMessageRequestParams, + CreateMessageResult, + SamplingMessage, + TextContent, +) + + +@pytest.mark.asyncio +async def test_summarizing_session(): + send_stream, receive_stream = anyio.create_memory_object_stream(10) + try: + session = ClientSessionSummarizing( + read_stream=receive_stream, + write_stream=send_stream, + ) + + # Create real messages instead of simple strings + messages = [SamplingMessage(role="user", content=TextContent(type="text", text="Hello")) for _ in range(3500)] + session.history = messages # Simulate approaching token limit + + assert session.token_count() > session.max_tokens * session.summarize_threshold + + # Test that summarization works + await session.summarize_context() + + # After summarization, history should contain only one message + assert len(session.history) == 1 + assert isinstance(session.history[0], SamplingMessage) + assert session.history[0].role == "assistant" + + finally: + await send_stream.aclose() + await receive_stream.aclose() + + +@pytest.mark.asyncio +async def test_sampling_callback(): + """Test sampling callback with ClientSessionSummarizing""" + send_stream, receive_stream = anyio.create_memory_object_stream(10) + try: + session = ClientSessionSummarizing( + read_stream=receive_stream, + write_stream=send_stream, + ) + + # Create request parameters + params = CreateMessageRequestParams( + messages=[SamplingMessage(role="user", content=TextContent(type="text", text="Hello world"))], maxTokens=100 + ) + + # Create simple context for testing + context: Any = RequestContext(session=session, request_id=1, meta=None, lifespan_context=None) + + # Call sampling callback + result = await session._summarizing_sampling_callback(context, params) + + # Verify the result is correct + assert isinstance(result, CreateMessageResult) + assert result.role == "assistant" + assert isinstance(result.content, TextContent) + assert "Message processed with summarization" in result.content.text + + # Verify message was added to history + assert len(session.history) == 1 + assert session.history[0].role == "user" + assert isinstance(session.history[0].content, TextContent) + assert session.history[0].content.text == "Hello world" + + finally: + await send_stream.aclose() + await receive_stream.aclose() + + +@pytest.mark.asyncio +async def test_custom_summary_prompt(): + """Test that user can define custom prompt""" + send_stream, receive_stream = anyio.create_memory_object_stream(10) + try: + custom_prompt = "Custom summary prompt:\n\n" + session = ClientSessionSummarizing( + read_stream=receive_stream, + write_stream=send_stream, + summary_prompt=custom_prompt, + ) + + # Verify user can define custom prompt + assert session.summary_prompt == custom_prompt + assert session.summary_prompt != DEFAULT_SUMMARY_PROMPT + + # Test that summarization uses custom prompt + session.history = [SamplingMessage(role="user", content=TextContent(type="text", text="Test message"))] + + await session.summarize_context() + + # Verify summary contains custom prompt + assert len(session.history) == 1 + summary_content = session.history[0].content + assert isinstance(summary_content, TextContent) + assert custom_prompt in summary_content.text + + finally: + await send_stream.aclose() + await receive_stream.aclose() + + +@pytest.mark.asyncio +async def test_default_summary_prompt(): + """Test that user gets default prompt if not specified""" + send_stream, receive_stream = anyio.create_memory_object_stream(10) + try: + session = ClientSessionSummarizing( + read_stream=receive_stream, + write_stream=send_stream, + ) + + # Verify user gets default prompt + assert session.summary_prompt == DEFAULT_SUMMARY_PROMPT + + finally: + await send_stream.aclose() + await receive_stream.aclose() + + +@pytest.mark.asyncio +async def test_custom_max_tokens(): + """Test that user can define custom max tokens""" + send_stream, receive_stream = anyio.create_memory_object_stream(10) + try: + custom_max_tokens = 2000 + session = ClientSessionSummarizing( + read_stream=receive_stream, + write_stream=send_stream, + max_tokens=custom_max_tokens, + ) + + # Verify user can define custom max tokens + assert session.max_tokens == custom_max_tokens + assert session.max_tokens != DEFAULT_MAX_TOKENS + + finally: + await send_stream.aclose() + await receive_stream.aclose() + + +@pytest.mark.asyncio +async def test_custom_summarize_threshold(): + """Test that user can define custom summarize threshold""" + send_stream, receive_stream = anyio.create_memory_object_stream(10) + try: + custom_threshold = 0.5 + session = ClientSessionSummarizing( + read_stream=receive_stream, + write_stream=send_stream, + summarize_threshold=custom_threshold, + ) + + # Verify user can define custom threshold + assert session.summarize_threshold == custom_threshold + assert session.summarize_threshold != DEFAULT_SUMMARIZE_THRESHOLD + + finally: + await send_stream.aclose() + await receive_stream.aclose() + + +@pytest.mark.asyncio +async def test_default_parameters(): + """Test that user gets default parameters if not specified""" + send_stream, receive_stream = anyio.create_memory_object_stream(10) + try: + session = ClientSessionSummarizing( + read_stream=receive_stream, + write_stream=send_stream, + ) + + # Verify user gets default parameters + assert session.max_tokens == DEFAULT_MAX_TOKENS + assert session.summarize_threshold == DEFAULT_SUMMARIZE_THRESHOLD + assert session.summary_prompt == DEFAULT_SUMMARY_PROMPT + + finally: + await send_stream.aclose() + await receive_stream.aclose() diff --git a/uv.lock b/uv.lock index 7a34275ce..4d0f0cd16 100644 --- a/uv.lock +++ b/uv.lock @@ -65,6 +65,15 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/b7/b8/3fe70c75fe32afc4bb507f75563d39bc5642255d1d94f1f23604725780bf/babel-2.17.0-py3-none-any.whl", hash = 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