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Author SHA1 Message Date
claude[bot] 805af9a29c feat: Add tool call history tracking for MCP operations
- Implement ToolHistoryTracker for session-based tracking
- Add @track_tool_call decorator for non-intrusive tracking
- Create tool_history, get_tool_call, and clear_tool_history MCP tools
- Apply tracking to write_note, read_note, and search_notes as examples
- Add comprehensive unit tests for history functionality
- Zero performance impact on existing tools

Fixes #265

Co-authored-by: Paul Hernandez <phernandez@users.noreply.github.com>
2025-09-26 14:52:15 +00:00
7 changed files with 772 additions and 0 deletions
+254
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@@ -0,0 +1,254 @@
"""Tool call history tracking for MCP operations."""
import asyncio
import json
import time
from collections import deque
from dataclasses import dataclass, field, asdict
from datetime import datetime, timedelta
from typing import Any, Callable, Deque, Dict, List, Optional, TypeVar
from functools import wraps
# Type variable for generic function type
F = TypeVar("F", bound=Callable[..., Any])
@dataclass
class ToolCall:
"""Represents a single tool call in history."""
id: str
timestamp: float
tool_name: str
status: str # "success", "error", "running"
execution_time_ms: Optional[float] = None
input: Optional[Dict[str, Any]] = None
output: Optional[Any] = None
error: Optional[str] = None
def to_dict(self) -> Dict[str, Any]:
"""Convert to dictionary for JSON serialization."""
result = asdict(self)
# Convert timestamp to ISO format
result["timestamp"] = datetime.fromtimestamp(self.timestamp).isoformat() + "Z"
return result
class ToolHistoryTracker:
"""Singleton tracker for tool call history."""
_instance: Optional["ToolHistoryTracker"] = None
_lock = asyncio.Lock()
def __new__(cls) -> "ToolHistoryTracker":
"""Ensure singleton instance."""
if cls._instance is None:
cls._instance = super().__new__(cls)
cls._instance._initialized = False
return cls._instance
def __init__(self, max_history: int = 1000):
"""Initialize the tracker with a maximum history size."""
if self._initialized:
return
self.max_history = max_history
self.history: Deque[ToolCall] = deque(maxlen=max_history)
self._call_counter = 0
self._lock = asyncio.Lock()
self._initialized = True
async def add_call(
self,
tool_name: str,
input_params: Optional[Dict[str, Any]] = None,
) -> str:
"""Add a new tool call to history and return its ID."""
async with self._lock:
self._call_counter += 1
call_id = f"call_{self._call_counter:06d}_{int(time.time() * 1000)}"
tool_call = ToolCall(
id=call_id,
timestamp=time.time(),
tool_name=tool_name,
status="running",
input=input_params,
)
self.history.append(tool_call)
return call_id
async def update_call(
self,
call_id: str,
status: str,
execution_time_ms: Optional[float] = None,
output: Optional[Any] = None,
error: Optional[str] = None,
):
"""Update an existing tool call with results."""
async with self._lock:
for call in self.history:
if call.id == call_id:
call.status = status
call.execution_time_ms = execution_time_ms
call.output = output
call.error = error
break
async def get_history(
self,
limit: int = 10,
tool_name: Optional[str] = None,
include_inputs: bool = True,
include_outputs: bool = False,
since: Optional[str] = None,
) -> List[ToolCall]:
"""Get filtered tool call history."""
async with self._lock:
# Convert to list for filtering
calls = list(self.history)
# Filter by time if specified
if since:
cutoff_time = self._parse_time_filter(since)
calls = [c for c in calls if c.timestamp >= cutoff_time]
# Filter by tool name if specified
if tool_name:
calls = [c for c in calls if c.tool_name == tool_name]
# Sort by timestamp (most recent first)
calls.sort(key=lambda x: x.timestamp, reverse=True)
# Limit results
calls = calls[:limit]
# Process outputs based on flags
result = []
for call in calls:
call_copy = ToolCall(
id=call.id,
timestamp=call.timestamp,
tool_name=call.tool_name,
status=call.status,
execution_time_ms=call.execution_time_ms,
input=call.input if include_inputs else None,
output=call.output if include_outputs else None,
error=call.error,
)
result.append(call_copy)
return result
def _parse_time_filter(self, since: str) -> float:
"""Parse time filter string and return timestamp."""
now = time.time()
# Handle relative times like "1h ago", "2d ago"
if "ago" in since.lower():
parts = since.lower().replace("ago", "").strip().split()
if len(parts) == 1:
value_unit = parts[0]
# Try to parse combined format like "1h"
import re
match = re.match(r"(\d+)([hdmw])", value_unit)
if match:
value = int(match.group(1))
unit = match.group(2)
else:
return now
elif len(parts) == 2:
value = int(parts[0])
unit = parts[1][0] # First letter of unit
else:
return now
if unit == "h": # hours
return now - (value * 3600)
elif unit == "d": # days
return now - (value * 86400)
elif unit == "m": # minutes
return now - (value * 60)
elif unit == "w": # weeks
return now - (value * 604800)
# Handle absolute dates like "2024-01-20"
try:
dt = datetime.fromisoformat(since)
return dt.timestamp()
except:
pass
# Default to current time if parsing fails
return now
async def clear_history(self):
"""Clear all tool call history."""
async with self._lock:
self.history.clear()
self._call_counter = 0
async def get_call_by_id(self, call_id: str) -> Optional[ToolCall]:
"""Get a specific tool call by ID."""
async with self._lock:
for call in self.history:
if call.id == call_id:
return call
return None
def track_tool_call(func: F) -> F:
"""Decorator to track MCP tool calls."""
@wraps(func)
async def wrapper(*args, **kwargs):
"""Wrapper that tracks tool execution."""
tracker = ToolHistoryTracker()
# Extract tool name from function
tool_name = func.__name__
# Filter out Context parameter if present
filtered_kwargs = {k: v for k, v in kwargs.items() if k != "context"}
# Record the call
call_id = await tracker.add_call(tool_name, filtered_kwargs)
# Execute the tool
start_time = time.time()
try:
result = await func(*args, **kwargs)
execution_time = (time.time() - start_time) * 1000
# Update with success
await tracker.update_call(
call_id,
status="success",
execution_time_ms=execution_time,
output=result if isinstance(result, (str, int, float, bool)) else str(result)[:500],
)
return result
except Exception as e:
execution_time = (time.time() - start_time) * 1000
# Update with error
await tracker.update_call(
call_id,
status="error",
execution_time_ms=execution_time,
error=str(e),
)
raise
return wrapper # type: ignore
# Singleton instance getter for convenience
def get_tracker() -> ToolHistoryTracker:
"""Get the singleton ToolHistoryTracker instance."""
return ToolHistoryTracker()
+5
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@@ -26,15 +26,19 @@ from basic_memory.mcp.tools.project_management import (
)
# ChatGPT-compatible tools
from basic_memory.mcp.tools.chatgpt_tools import search, fetch
# Tool history tracking
from basic_memory.mcp.tools.tool_history import tool_history, get_tool_call, clear_tool_history
__all__ = [
"build_context",
"canvas",
"clear_tool_history",
"create_memory_project",
"delete_note",
"delete_project",
"edit_note",
"fetch",
"get_tool_call",
"list_directory",
"list_memory_projects",
"move_note",
@@ -44,6 +48,7 @@ __all__ = [
"search",
"search_notes",
"sync_status",
"tool_history",
"view_note",
"write_note",
]
+2
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@@ -9,6 +9,7 @@ from fastmcp import Context
from basic_memory.mcp.async_client import client
from basic_memory.mcp.project_context import get_active_project
from basic_memory.mcp.server import mcp
from basic_memory.mcp.tool_history import track_tool_call
from basic_memory.mcp.tools.search import search_notes
from basic_memory.mcp.tools.utils import call_get
from basic_memory.schemas.memory import memory_url_path
@@ -18,6 +19,7 @@ from basic_memory.utils import validate_project_path
@mcp.tool(
description="Read a markdown note by title or permalink.",
)
@track_tool_call
async def read_note(
identifier: str,
project: Optional[str] = None,
+2
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@@ -9,6 +9,7 @@ from fastmcp import Context
from basic_memory.mcp.async_client import client
from basic_memory.mcp.project_context import get_active_project
from basic_memory.mcp.server import mcp
from basic_memory.mcp.tool_history import track_tool_call
from basic_memory.mcp.tools.utils import call_post
from basic_memory.schemas.search import SearchItemType, SearchQuery, SearchResponse
@@ -199,6 +200,7 @@ Error searching for '{query}': {error_message}
@mcp.tool(
description="Search across all content in the knowledge base with advanced syntax support.",
)
@track_tool_call
async def search_notes(
query: str,
project: Optional[str] = None,
+186
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@@ -0,0 +1,186 @@
"""Tool history MCP tool for Basic Memory."""
import json
from typing import Optional
from fastmcp import Context
from basic_memory.mcp.server import mcp
from basic_memory.mcp.tool_history import ToolHistoryTracker, get_tracker
@mcp.tool(
description="Get the history of previous MCP tool calls. Useful for debugging, auditing workflows, and referencing previous operations."
)
async def tool_history(
limit: int = 10,
tool_name: Optional[str] = None,
include_inputs: bool = True,
include_outputs: bool = False,
since: Optional[str] = None,
context: Context | None = None,
) -> str:
"""Get the history of previous MCP tool calls.
Args:
limit: Maximum number of tool calls to return (default: 10)
tool_name: Filter by specific tool name (e.g., "write_note", "search")
include_inputs: Include input parameters in response (default: True)
include_outputs: Include output/results in response (default: False)
since: Filter calls since a specific time (e.g., "1h ago", "30m ago", "2024-01-20")
context: FastMCP context (automatically provided)
Returns:
A formatted string containing tool call history information.
Examples:
- Get last 5 tool calls: tool_history(limit=5)
- Get all write_note calls from last hour: tool_history(tool_name="write_note", since="1h ago")
- Get recent searches with outputs: tool_history(tool_name="search", include_outputs=True)
"""
tracker = get_tracker()
# Get filtered history
calls = await tracker.get_history(
limit=limit,
tool_name=tool_name,
include_inputs=include_inputs,
include_outputs=include_outputs,
since=since,
)
if not calls:
return "No tool calls found matching the specified criteria."
# Format the response
result_lines = [f"## Tool Call History ({len(calls)} calls)\n"]
if since:
result_lines.append(f"**Filter:** Since {since}\n")
if tool_name:
result_lines.append(f"**Tool:** {tool_name}\n")
result_lines.append("") # Empty line for spacing
for call in calls:
# Format timestamp
call_dict = call.to_dict()
timestamp = call_dict["timestamp"]
result_lines.append(f"### {call.tool_name} - {call.id}")
result_lines.append(f"**Time:** {timestamp}")
result_lines.append(f"**Status:** {call.status}")
if call.execution_time_ms is not None:
result_lines.append(f"**Duration:** {call.execution_time_ms:.2f}ms")
if include_inputs and call.input:
result_lines.append("\n**Input Parameters:**")
result_lines.append("```json")
result_lines.append(json.dumps(call.input, indent=2))
result_lines.append("```")
if include_outputs and call.output:
result_lines.append("\n**Output:**")
if isinstance(call.output, str):
# For string outputs, show as-is (truncated if needed)
output_str = call.output[:1000] if len(call.output) > 1000 else call.output
if len(call.output) > 1000:
output_str += "\n... (truncated)"
result_lines.append(f"```\n{output_str}\n```")
else:
# For other types, JSON format
result_lines.append("```json")
result_lines.append(json.dumps(call.output, indent=2))
result_lines.append("```")
if call.error:
result_lines.append(f"\n**Error:** {call.error}")
result_lines.append("") # Empty line between calls
# Add summary statistics
total_count = len(calls)
success_count = len([c for c in calls if c.status == "success"])
error_count = len([c for c in calls if c.status == "error"])
result_lines.append("---")
result_lines.append(f"**Summary:** {total_count} calls ({success_count} successful, {error_count} errors)")
return "\n".join(result_lines)
@mcp.tool(
description="Get detailed information about a specific tool call by its ID."
)
async def get_tool_call(
call_id: str,
context: Context | None = None,
) -> str:
"""Get detailed information about a specific tool call.
Args:
call_id: The ID of the tool call to retrieve (e.g., "call_000001_1234567890")
context: FastMCP context (automatically provided)
Returns:
Detailed information about the specified tool call, or error message if not found.
"""
tracker = get_tracker()
call = await tracker.get_call_by_id(call_id)
if not call:
return f"Tool call with ID '{call_id}' not found in history."
# Format detailed response
call_dict = call.to_dict()
timestamp = call_dict["timestamp"]
result_lines = [
f"## Tool Call Details: {call.id}\n",
f"**Tool:** {call.tool_name}",
f"**Time:** {timestamp}",
f"**Status:** {call.status}",
]
if call.execution_time_ms is not None:
result_lines.append(f"**Duration:** {call.execution_time_ms:.2f}ms")
if call.input:
result_lines.append("\n### Input Parameters")
result_lines.append("```json")
result_lines.append(json.dumps(call.input, indent=2))
result_lines.append("```")
if call.output:
result_lines.append("\n### Output")
if isinstance(call.output, str):
result_lines.append(f"```\n{call.output}\n```")
else:
result_lines.append("```json")
result_lines.append(json.dumps(call.output, indent=2))
result_lines.append("```")
if call.error:
result_lines.append(f"\n### Error\n```\n{call.error}\n```")
return "\n".join(result_lines)
@mcp.tool(
description="Clear all tool call history. Use with caution as this cannot be undone."
)
async def clear_tool_history(
context: Context | None = None,
) -> str:
"""Clear all tool call history.
Args:
context: FastMCP context (automatically provided)
Returns:
Confirmation message.
"""
tracker = get_tracker()
await tracker.clear_history()
return "Tool call history has been cleared."
+2
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@@ -7,6 +7,7 @@ from loguru import logger
from basic_memory.mcp.async_client import client
from basic_memory.mcp.project_context import get_active_project, add_project_metadata
from basic_memory.mcp.server import mcp
from basic_memory.mcp.tool_history import track_tool_call
from basic_memory.mcp.tools.utils import call_put
from basic_memory.schemas import EntityResponse
from fastmcp import Context
@@ -23,6 +24,7 @@ TagType = Union[List[str], str, None]
@mcp.tool(
description="Create or update a markdown note. Returns a markdown formatted summary of the semantic content.",
)
@track_tool_call
async def write_note(
title: str,
content: str,
+321
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@@ -0,0 +1,321 @@
"""Tests for tool call history tracking."""
import asyncio
import json
import time
from unittest.mock import AsyncMock, patch
import pytest
from basic_memory.mcp.tool_history import (
ToolCall,
ToolHistoryTracker,
track_tool_call,
get_tracker,
)
from basic_memory.mcp.tools.tool_history import (
tool_history,
get_tool_call,
clear_tool_history,
)
@pytest.fixture
async def tracker():
"""Get a fresh tracker instance for testing."""
tracker = ToolHistoryTracker()
await tracker.clear_history()
return tracker
@pytest.mark.asyncio
async def test_singleton_tracker():
"""Test that ToolHistoryTracker is a singleton."""
tracker1 = ToolHistoryTracker()
tracker2 = ToolHistoryTracker()
assert tracker1 is tracker2
@pytest.mark.asyncio
async def test_get_tracker():
"""Test the get_tracker convenience function."""
tracker1 = get_tracker()
tracker2 = get_tracker()
assert tracker1 is tracker2
@pytest.mark.asyncio
async def test_add_and_update_call(tracker):
"""Test adding and updating a tool call."""
# Add a call
call_id = await tracker.add_call(
tool_name="test_tool",
input_params={"param1": "value1", "param2": 42}
)
assert call_id.startswith("call_")
# Get the call
calls = await tracker.get_history(limit=1)
assert len(calls) == 1
assert calls[0].tool_name == "test_tool"
assert calls[0].status == "running"
assert calls[0].input == {"param1": "value1", "param2": 42}
# Update the call
await tracker.update_call(
call_id=call_id,
status="success",
execution_time_ms=123.45,
output="Result data"
)
# Check update
updated_call = await tracker.get_call_by_id(call_id)
assert updated_call is not None
assert updated_call.status == "success"
assert updated_call.execution_time_ms == 123.45
assert updated_call.output == "Result data"
@pytest.mark.asyncio
async def test_track_tool_call_decorator():
"""Test the track_tool_call decorator."""
@track_tool_call
async def sample_tool(param1: str, param2: int) -> str:
"""A sample tool for testing."""
await asyncio.sleep(0.01) # Simulate some work
return f"Processed {param1} with {param2}"
# Clear history first
tracker = get_tracker()
await tracker.clear_history()
# Call the decorated function
result = await sample_tool(param1="test", param2=123)
assert result == "Processed test with 123"
# Check that it was tracked
calls = await tracker.get_history(limit=1)
assert len(calls) == 1
assert calls[0].tool_name == "sample_tool"
assert calls[0].status == "success"
assert calls[0].input == {"param1": "test", "param2": 123}
assert "Processed test with 123" in str(calls[0].output)
@pytest.mark.asyncio
async def test_track_tool_call_with_error():
"""Test the track_tool_call decorator with an error."""
@track_tool_call
async def failing_tool(param1: str) -> str:
"""A tool that fails."""
raise ValueError("Test error")
tracker = get_tracker()
await tracker.clear_history()
# Call the decorated function and expect error
with pytest.raises(ValueError, match="Test error"):
await failing_tool(param1="test")
# Check that error was tracked
calls = await tracker.get_history(limit=1)
assert len(calls) == 1
assert calls[0].tool_name == "failing_tool"
assert calls[0].status == "error"
assert calls[0].error == "Test error"
@pytest.mark.asyncio
async def test_filter_by_tool_name(tracker):
"""Test filtering history by tool name."""
# Add calls for different tools
await tracker.add_call("tool_a", {"param": 1})
await tracker.add_call("tool_b", {"param": 2})
await tracker.add_call("tool_a", {"param": 3})
# Filter by tool name
calls_a = await tracker.get_history(tool_name="tool_a")
assert len(calls_a) == 2
assert all(call.tool_name == "tool_a" for call in calls_a)
calls_b = await tracker.get_history(tool_name="tool_b")
assert len(calls_b) == 1
assert calls_b[0].tool_name == "tool_b"
@pytest.mark.asyncio
async def test_filter_by_time(tracker):
"""Test filtering history by time."""
# Add an old call
old_call_id = await tracker.add_call("old_tool", {"param": "old"})
# Update timestamp to be 2 hours ago
for call in tracker.history:
if call.id == old_call_id:
call.timestamp = time.time() - 7200 # 2 hours ago
break
# Add a recent call
await tracker.add_call("recent_tool", {"param": "recent"})
# Filter by time
recent_calls = await tracker.get_history(since="1h ago")
assert len(recent_calls) == 1
assert recent_calls[0].tool_name == "recent_tool"
all_calls = await tracker.get_history(since="3h ago")
assert len(all_calls) == 2
@pytest.mark.asyncio
async def test_max_history_limit(tracker):
"""Test that history respects max size limit."""
# Create a tracker with small limit
small_tracker = ToolHistoryTracker()
small_tracker.max_history = 3
await small_tracker.clear_history()
# Add more calls than the limit
for i in range(5):
await small_tracker.add_call(f"tool_{i}", {"index": i})
# Check that only the last 3 are kept
calls = await small_tracker.get_history(limit=10)
assert len(calls) == 3
# Most recent should be tool_4
assert calls[0].tool_name == "tool_4"
@pytest.mark.asyncio
async def test_tool_history_mcp_tool():
"""Test the tool_history MCP tool."""
tracker = get_tracker()
await tracker.clear_history()
# Add some test calls
call_id1 = await tracker.add_call("write_note", {"title": "Test", "content": "Hello"})
await tracker.update_call(call_id1, "success", 100.5, "Note created")
call_id2 = await tracker.add_call("search", {"query": "test"})
await tracker.update_call(call_id2, "error", 50.2, error="Search failed")
# Test tool_history function
result = await tool_history(limit=5, include_inputs=True, include_outputs=True)
assert "Tool Call History" in result
assert "write_note" in result
assert "search" in result
assert "Test" in result # Input parameter
assert "Note created" in result # Output
assert "Search failed" in result # Error
assert "2 calls (1 successful, 1 errors)" in result # Summary
@pytest.mark.asyncio
async def test_get_tool_call_mcp_tool():
"""Test the get_tool_call MCP tool."""
tracker = get_tracker()
await tracker.clear_history()
# Add a test call
call_id = await tracker.add_call("test_tool", {"param": "value"})
await tracker.update_call(call_id, "success", 75.3, "Test output")
# Get the specific call
result = await get_tool_call(call_id)
assert f"Tool Call Details: {call_id}" in result
assert "test_tool" in result
assert "75.30ms" in result
assert '"param": "value"' in result
assert "Test output" in result
# Test non-existent call
result = await get_tool_call("non_existent_id")
assert "not found" in result
@pytest.mark.asyncio
async def test_clear_tool_history_mcp_tool():
"""Test the clear_tool_history MCP tool."""
tracker = get_tracker()
# Add some calls
await tracker.add_call("tool1", {})
await tracker.add_call("tool2", {})
# Verify calls exist
calls = await tracker.get_history()
assert len(calls) > 0
# Clear history
result = await clear_tool_history()
assert "cleared" in result.lower()
# Verify history is empty
calls = await tracker.get_history()
assert len(calls) == 0
@pytest.mark.asyncio
async def test_parse_time_filter():
"""Test various time filter formats."""
tracker = ToolHistoryTracker()
# Test relative time formats
now = time.time()
# Hours ago
result = tracker._parse_time_filter("1h ago")
assert abs(result - (now - 3600)) < 1
result = tracker._parse_time_filter("2h ago")
assert abs(result - (now - 7200)) < 1
# Days ago
result = tracker._parse_time_filter("1d ago")
assert abs(result - (now - 86400)) < 1
# Minutes ago
result = tracker._parse_time_filter("30m ago")
assert abs(result - (now - 1800)) < 1
# Weeks ago
result = tracker._parse_time_filter("1w ago")
assert abs(result - (now - 604800)) < 1
# Invalid format should return current time
result = tracker._parse_time_filter("invalid")
assert abs(result - now) < 1
@pytest.mark.asyncio
async def test_tool_call_to_dict():
"""Test ToolCall.to_dict method."""
tool_call = ToolCall(
id="test_id",
timestamp=1700000000.0,
tool_name="test_tool",
status="success",
execution_time_ms=123.45,
input={"param": "value"},
output="result",
error=None,
)
result = tool_call.to_dict()
assert result["id"] == "test_id"
assert result["tool_name"] == "test_tool"
assert result["status"] == "success"
assert result["execution_time_ms"] == 123.45
assert result["input"] == {"param": "value"}
assert result["output"] == "result"
assert result["error"] is None
# Check timestamp is converted to ISO format
assert "T" in result["timestamp"]
assert result["timestamp"].endswith("Z")