arcade-mcp/libs/tests/arcade_evals/test_comparative_execution.py
jottakka 98fad93d21
Adding MCP Servers supports to Arcade Evals (#689)
# MCP Server Tool Evaluation Support

## Overview
Add support for evaluating tools from remote MCP servers without
requiring Python callables. Enables direct evaluation of any
MCP-compatible tool server.

## What's New

### Core Features
- **`MCPToolRegistry`**: Evaluate tools from a single MCP server
- **`CompositeMCPRegistry`**: Evaluate tools from multiple MCP servers
simultaneously
- **Automatic loaders**: `load_from_stdio()` and `load_from_http()` to
fetch tools from running servers
- **Automatic namespacing**: Tools prefixed with server name (e.g.,
`server_tool_name`)
- **Smart name resolution**: Use short names if unique, full names if
ambiguous
- **OpenAI strict mode**: Automatic schema conversion prevents parameter
hallucinations

### Usage

**Automatic Loading:**
```python
from arcade_evals import load_from_stdio, MCPToolRegistry

# Load tools automatically from MCP server
tools = load_from_stdio(["npx", "-y", "@modelcontextprotocol/server-github"])
registry = MCPToolRegistry(tools)
```

**Single MCP Server:**
```python
from arcade_evals import MCPToolRegistry, ExpectedToolCall

registry = MCPToolRegistry(mcp_tools)
suite = EvalSuite(catalog=registry)

suite.add_case(
    expected_tool_calls=[
        ExpectedToolCall(tool_name="tool_name", args={...})
    ]
)
```

**Multiple MCP Servers:**
```python
from arcade_evals import CompositeMCPRegistry, load_from_stdio

# Load from multiple servers
github_tools = load_from_stdio(["npx", "-y", "@modelcontextprotocol/server-github"])
slack_tools = load_from_stdio(["npx", "-y", "@modelcontextprotocol/server-slack"])

composite = CompositeMCPRegistry(
    tool_lists={
        "github": github_tools,
        "slack": slack_tools,
    }
)

suite = EvalSuite(catalog=composite)

suite.add_case(
    expected_tool_calls=[
        ExpectedToolCall(tool_name="github_list_issues", args={...})
    ]
)
```

## Implementation

### Files Changed
- **`libs/arcade-evals/arcade_evals/registry.py`** (NEW): Registry
abstractions and implementations
- **`libs/arcade-evals/arcade_evals/loaders.py`** (NEW): Automatic tool
loading from MCP servers
- **`libs/arcade-evals/arcade_evals/eval.py`** (MODIFIED): Enhanced
`ExpectedToolCall` and evaluation logic
- **`libs/arcade-evals/arcade_evals/__init__.py`** (MODIFIED): Exported
new registries and loaders

### Key Technical Details
- Added `BaseToolRegistry` interface for abstraction
- `MCPToolRegistry` handles single server tools
- `CompositeMCPRegistry` manages multiple servers with collision
detection
- `load_from_stdio()` and `load_from_http()` for automatic tool
discovery
- Fixed name normalization bug: MCP tools use underscores (not dots)
- Optimized tool copying: 2.5x faster via shallow copy

## Testing
-  41 tests passing (25 new tests added)
-  `test_eval_mcp_registry.py`: MCPToolRegistry functionality
-  `test_eval_composite_mcp.py`: CompositeMCPRegistry with multiple
servers
-  Verified backward compatibility with Python tools

## Backward Compatibility
 **100% backward compatible** - No breaking changes


## Breaking Changes
**None**


<!-- CURSOR_SUMMARY -->
---

> [!NOTE]
> Adds end-to-end eval UX: examples, a robust CLI runner, and rich
outputs.
> 
> - **New examples**: `eval_arcade_gateway.py`,
`eval_stdio_mcp_server.py`, `eval_http_mcp_server.py`,
`eval_comprehensive_comparison.py` with timeouts, error handling, and
track-based comparisons; detailed `README.md`
> - **CLI runner**: `arcade_cli/evals_runner.py` to execute
evals/capture in parallel with progress, error isolation, failed-only
filtering, context inclusion, and multi-provider/model support
> - **Output formatters**: `arcade_cli/formatters/` (txt, md, html,
json) for evals and capture; comparative and multi-model HTML with tabs
and context rendering
> - **Display refactor**: `display.py` now supports writing multiple
formats, failed-only disclaimers, include-context, and improved console
summaries
> 
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
ff8acf9c34a6b61462a019a1ee9df081006517d0. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->

---------

Co-authored-by: Francisco Liberal <francisco@arcade.dev>
Co-authored-by: Mateo Torres <torresmateo@gmail.com>
2026-01-07 20:26:23 -03:00

249 lines
10 KiB
Python

"""Tests for comparative evaluation execution logic."""
from unittest.mock import AsyncMock, MagicMock
import pytest
from arcade_evals import (
BinaryCritic,
EvalRubric,
EvalSuite,
ExpectedMCPToolCall,
)
# Mark all tests in this module as requiring evals dependencies
pytestmark = pytest.mark.evals
class TestRunComparative:
"""Tests for EvalSuite.run_comparative() method."""
@pytest.mark.asyncio
async def test_for_track_validates_track_exists(self) -> None:
"""Test that for_track raises error if track doesn't exist."""
suite = EvalSuite(name="test", system_message="test")
# Add tools to track1 only
suite.add_tool_definitions([{"name": "tool1", "description": "Test", "inputSchema": {}}], track="track1")
# Try to add comparative case with track2 (doesn't exist)
case = suite.add_comparative_case(name="test", user_message="test")
case.for_track("track1", expected_tool_calls=[ExpectedMCPToolCall("tool1", args={})])
# for_track validates immediately
with pytest.raises(ValueError, match="Track.*not found"):
case.for_track("track2", expected_tool_calls=[ExpectedMCPToolCall("tool2", args={})])
@pytest.mark.asyncio
async def test_run_comparative_returns_track_results(self) -> None:
"""Test that run_comparative returns dict with track results."""
suite = EvalSuite(name="test", system_message="test")
# Add tools to two tracks
suite.add_tool_definitions([{"name": "tool1", "description": "Test", "inputSchema": {}}], track="track1")
suite.add_tool_definitions([{"name": "tool2", "description": "Test", "inputSchema": {}}], track="track2")
# Add comparative case
case = suite.add_comparative_case(name="case1", user_message="test")
case.for_track("track1", expected_tool_calls=[ExpectedMCPToolCall("tool1", args={})])
case.for_track("track2", expected_tool_calls=[ExpectedMCPToolCall("tool2", args={})])
mock_client = AsyncMock()
mock_response = MagicMock()
mock_response.choices = [MagicMock()]
mock_response.choices[0].message.tool_calls = None
mock_client.chat.completions.create.return_value = mock_response
result = await suite.run_comparative(mock_client, "gpt-4o", provider="openai")
# Should return dict with track names as keys
assert isinstance(result, dict)
assert "track1" in result
assert "track2" in result
# Each track should have model, suite_name, track_name, cases
assert result["track1"]["model"] == "gpt-4o"
assert result["track1"]["suite_name"] == "test"
assert result["track1"]["track_name"] == "track1"
assert "cases" in result["track1"]
assert len(result["track1"]["cases"]) == 1
@pytest.mark.asyncio
async def test_run_comparative_raises_without_comparative_cases(self) -> None:
"""Test that run_comparative raises error when no comparative cases defined."""
suite = EvalSuite(name="test", system_message="test")
suite.add_tool_definitions([{"name": "tool1", "description": "Test", "inputSchema": {}}])
mock_client = AsyncMock()
with pytest.raises(ValueError, match="No comparative cases defined"):
await suite.run_comparative(mock_client, "gpt-4o", provider="openai")
@pytest.mark.asyncio
async def test_run_comparative_respects_max_concurrent(self) -> None:
"""Test that run_comparative respects max_concurrent setting."""
suite = EvalSuite(name="test", system_message="test", max_concurrent=2)
# Add tools
suite.add_tool_definitions([{"name": "tool1", "description": "Test", "inputSchema": {}}], track="track1")
# Add 3 cases
for i in range(3):
case = suite.add_comparative_case(name=f"case{i}", user_message=f"test{i}")
case.for_track("track1", expected_tool_calls=[])
mock_client = AsyncMock()
mock_response = MagicMock()
mock_response.choices = [MagicMock()]
mock_response.choices[0].message.tool_calls = None
mock_client.chat.completions.create.return_value = mock_response
# Semaphore with max_concurrent=2 will be used
result = await suite.run_comparative(mock_client, "gpt-4o", provider="openai")
# All cases should complete
assert len(result["track1"]["cases"]) == 3
@pytest.mark.asyncio
async def test_run_comparative_with_anthropic_provider(self) -> None:
"""Test run_comparative works with Anthropic provider."""
suite = EvalSuite(name="test", system_message="test")
suite.add_tool_definitions([{"name": "search", "description": "Search", "inputSchema": {}}], track="track1")
case = suite.add_comparative_case(name="test", user_message="search for cats")
case.for_track("track1", expected_tool_calls=[ExpectedMCPToolCall("search", args={"query": "cats"})])
mock_client = AsyncMock()
mock_response = MagicMock()
mock_response.content = []
mock_client.messages.create.return_value = mock_response
result = await suite.run_comparative(mock_client, "claude-3", provider="anthropic")
assert "track1" in result
assert result["track1"]["model"] == "claude-3"
class TestComparativeCaseBuilder:
"""Tests for ComparativeCaseBuilder fluent API."""
def test_for_track_returns_builder_for_chaining(self) -> None:
"""Test that for_track returns builder for method chaining."""
suite = EvalSuite(name="test", system_message="test")
suite.add_tool_definitions([{"name": "t1", "description": "Test", "inputSchema": {}}], track="track1")
suite.add_tool_definitions([{"name": "t2", "description": "Test", "inputSchema": {}}], track="track2")
builder = suite.add_comparative_case(name="test", user_message="test")
result1 = builder.for_track("track1", expected_tool_calls=[])
result2 = result1.for_track("track2", expected_tool_calls=[])
# Should return same builder for chaining
assert result1 is builder
assert result2 is builder
def test_comparative_case_with_custom_rubric(self) -> None:
"""Test that comparative cases can have custom rubrics."""
suite = EvalSuite(name="test", system_message="test")
suite.add_tool_definitions([{"name": "t1", "description": "Test", "inputSchema": {}}], track="track1")
strict_rubric = EvalRubric(fail_threshold=0.7, warn_threshold=0.9)
# Rubric is set on the case, not per track
builder = suite.add_comparative_case(name="test", user_message="test", rubric=strict_rubric)
builder.for_track("track1", expected_tool_calls=[])
# Build and verify rubric is stored on the case
comp_case = builder.build()
assert comp_case.rubric == strict_rubric
def test_for_track_with_track_specific_critics(self) -> None:
"""Test that tracks can have specific critics."""
suite = EvalSuite(name="test", system_message="test")
suite.add_tool_definitions([{"name": "t1", "description": "Test", "inputSchema": {}}], track="track1")
critics = [BinaryCritic(critic_field="query", weight=1.0)]
builder = suite.add_comparative_case(name="test", user_message="test")
builder.for_track("track1", expected_tool_calls=[], critics=critics)
comp_case = builder.build()
assert comp_case.track_configs["track1"].critics == critics
def test_build_raises_if_no_tracks_configured(self) -> None:
"""Test that build() raises error if no tracks are configured."""
suite = EvalSuite(name="test", system_message="test")
builder = suite.add_comparative_case(name="test", user_message="test")
with pytest.raises(ValueError, match="No tracks configured"):
builder.build()
class TestComparativeTrackValidation:
"""Tests for track validation in comparative evaluations."""
def test_for_track_validates_track_exists(self) -> None:
"""Test that for_track validates track exists immediately."""
suite = EvalSuite(name="test", system_message="test")
# Register only track1
suite.add_tool_definitions([{"name": "t1", "description": "Test", "inputSchema": {}}], track="track1")
# Try to use nonexistent_track
case = suite.add_comparative_case(name="test", user_message="test")
case.for_track("track1", expected_tool_calls=[])
# for_track validates immediately
with pytest.raises(ValueError, match="Track.*not found"):
case.for_track("nonexistent_track", expected_tool_calls=[])
def test_for_track_error_lists_available_tracks(self) -> None:
"""Test that error message lists available tracks."""
suite = EvalSuite(name="test", system_message="test")
suite.add_tool_definitions([{"name": "t1", "description": "Test", "inputSchema": {}}], track="available_track")
case = suite.add_comparative_case(name="test", user_message="test")
with pytest.raises(ValueError) as exc_info:
case.for_track("missing_track", expected_tool_calls=[])
error_msg = str(exc_info.value)
assert "missing_track" in error_msg
assert "available_track" in error_msg
class TestComparativeConcurrencyControl:
"""Tests for concurrency control in comparative execution."""
@pytest.mark.asyncio
async def test_semaphore_limits_concurrent_tasks(self) -> None:
"""Test that semaphore properly limits concurrent API calls."""
suite = EvalSuite(name="test", system_message="test", max_concurrent=1)
suite.add_tool_definitions([{"name": "t1", "description": "Test", "inputSchema": {}}], track="track1")
# Add 3 cases - with max_concurrent=1, they should run sequentially
for i in range(3):
case = suite.add_comparative_case(name=f"case{i}", user_message="test")
case.for_track("track1", expected_tool_calls=[])
call_count = 0
async def mock_create(**kwargs):
nonlocal call_count
call_count += 1
# Simulate some delay
import asyncio
await asyncio.sleep(0.01)
mock_response = MagicMock()
mock_response.choices = [MagicMock()]
mock_response.choices[0].message.tool_calls = None
return mock_response
mock_client = AsyncMock()
mock_client.chat.completions.create = mock_create
await suite.run_comparative(mock_client, "gpt-4o", provider="openai")
# All 3 cases should have been called
assert call_count == 3