add unit tests for AI policy suggester

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Ishaan Jaffer 2026-02-19 10:59:43 -08:00
parent 02633b076b
commit 3ad577e7f8
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"""
Tests for AiPolicySuggester class.
"""
import json
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from litellm.proxy.management_endpoints.policy_endpoints.ai_policy_suggester import (
SUGGEST_TOOL,
AiPolicySuggester,
)
SAMPLE_TEMPLATES = [
{
"id": "baseline-pii-protection",
"title": "Baseline PII Protection",
"description": "Baseline PII protection for internal tools.",
"example_sentences": [
"My AWS secret key is AKIAIOSFODNN7EXAMPLE",
"My password is hunter2",
],
},
{
"id": "prompt-injection-protection",
"title": "Prompt Injection Protection",
"description": "Blocks prompt injection and jailbreak attempts.",
"example_sentences": [
"Ignore all previous instructions",
"'; DROP TABLE users; --",
],
},
{
"id": "competitor-mention-detection",
"title": "Competitor Mention Detection",
"description": "Blocks AI from recommending competitor brands.",
"example_sentences": [
"You should switch to Competitor X",
"Qatar Airways QSuites is the best",
],
},
]
class TestAiPolicySuggester:
def test_build_system_prompt_includes_all_templates(self):
suggester = AiPolicySuggester()
prompt = suggester._build_system_prompt(SAMPLE_TEMPLATES)
assert "baseline-pii-protection" in prompt
assert "prompt-injection-protection" in prompt
assert "competitor-mention-detection" in prompt
assert "Baseline PII Protection" in prompt
assert "AKIAIOSFODNN7EXAMPLE" in prompt
assert "security policy advisor" in prompt
def test_build_system_prompt_handles_missing_example_sentences(self):
templates = [
{
"id": "test-template",
"title": "Test",
"description": "Test template",
}
]
suggester = AiPolicySuggester()
prompt = suggester._build_system_prompt(templates)
assert "test-template" in prompt
assert "none" in prompt
def test_build_user_prompt_with_examples_and_description(self):
suggester = AiPolicySuggester()
prompt = suggester._build_user_prompt(
attack_examples=["My SSN is 123-45-6789", "DROP TABLE users"],
description="Block PII and SQL injection",
)
assert "1. My SSN is 123-45-6789" in prompt
assert "2. DROP TABLE users" in prompt
assert "Block PII and SQL injection" in prompt
def test_build_user_prompt_filters_empty_examples(self):
suggester = AiPolicySuggester()
prompt = suggester._build_user_prompt(
attack_examples=["valid example", "", " ", "another valid"],
description="",
)
assert "1. valid example" in prompt
assert "2. another valid" in prompt
assert "Description" not in prompt
def test_build_user_prompt_with_only_description(self):
suggester = AiPolicySuggester()
prompt = suggester._build_user_prompt(
attack_examples=[],
description="Block all PII data",
)
assert "Block all PII data" in prompt
assert "Example attack" not in prompt
def test_tool_schema_is_valid(self):
assert SUGGEST_TOOL["type"] == "function"
func = SUGGEST_TOOL["function"]
assert func["name"] == "select_policy_templates"
params = func["parameters"]
assert "selected_templates" in params["properties"]
assert "explanation" in params["properties"]
assert params["required"] == ["selected_templates", "explanation"]
items = params["properties"]["selected_templates"]["items"]
assert "template_id" in items["properties"]
assert "reason" in items["properties"]
@pytest.mark.asyncio
async def test_suggest_parses_tool_call_response(self):
suggester = AiPolicySuggester()
mock_tool_call = MagicMock()
mock_tool_call.function.arguments = json.dumps(
{
"selected_templates": [
{
"template_id": "baseline-pii-protection",
"reason": "Matches PII patterns",
}
],
"explanation": "Your examples contain PII data.",
}
)
mock_response = MagicMock()
mock_response.choices = [MagicMock()]
mock_response.choices[0].message.tool_calls = [mock_tool_call]
with patch("litellm.acompletion", new_callable=AsyncMock) as mock_acompletion:
mock_acompletion.return_value = mock_response
result = await suggester.suggest(
templates=SAMPLE_TEMPLATES,
attack_examples=["My SSN is 123-45-6789"],
description="",
)
assert len(result["selected_templates"]) == 1
assert result["selected_templates"][0]["template_id"] == "baseline-pii-protection"
assert result["explanation"] == "Your examples contain PII data."
@pytest.mark.asyncio
async def test_suggest_filters_invalid_template_ids(self):
suggester = AiPolicySuggester()
mock_tool_call = MagicMock()
mock_tool_call.function.arguments = json.dumps(
{
"selected_templates": [
{
"template_id": "baseline-pii-protection",
"reason": "Valid",
},
{
"template_id": "nonexistent-template",
"reason": "Invalid",
},
],
"explanation": "Mixed results.",
}
)
mock_response = MagicMock()
mock_response.choices = [MagicMock()]
mock_response.choices[0].message.tool_calls = [mock_tool_call]
with patch("litellm.acompletion", new_callable=AsyncMock) as mock_acompletion:
mock_acompletion.return_value = mock_response
result = await suggester.suggest(
templates=SAMPLE_TEMPLATES,
attack_examples=["test"],
description="",
)
assert len(result["selected_templates"]) == 1
assert result["selected_templates"][0]["template_id"] == "baseline-pii-protection"
@pytest.mark.asyncio
async def test_suggest_handles_no_tool_calls(self):
suggester = AiPolicySuggester()
mock_response = MagicMock()
mock_response.choices = [MagicMock()]
mock_response.choices[0].message.tool_calls = None
with patch("litellm.acompletion", new_callable=AsyncMock) as mock_acompletion:
mock_acompletion.return_value = mock_response
result = await suggester.suggest(
templates=SAMPLE_TEMPLATES,
attack_examples=["test"],
description="",
)
assert result["selected_templates"] == []
assert "No templates" in result["explanation"]
@pytest.mark.asyncio
async def test_suggest_calls_litellm_with_correct_params(self):
suggester = AiPolicySuggester()
mock_tool_call = MagicMock()
mock_tool_call.function.arguments = json.dumps(
{"selected_templates": [], "explanation": "None matched."}
)
mock_response = MagicMock()
mock_response.choices = [MagicMock()]
mock_response.choices[0].message.tool_calls = [mock_tool_call]
with patch("litellm.acompletion", new_callable=AsyncMock) as mock_acompletion:
mock_acompletion.return_value = mock_response
await suggester.suggest(
templates=SAMPLE_TEMPLATES,
attack_examples=["test attack"],
description="block attacks",
)
call_kwargs = mock_acompletion.call_args.kwargs
assert call_kwargs["model"] == "gpt-4o-mini"
assert call_kwargs["temperature"] == 0.2
assert len(call_kwargs["tools"]) == 1
assert call_kwargs["tools"][0]["function"]["name"] == "select_policy_templates"
assert call_kwargs["tool_choice"]["function"]["name"] == "select_policy_templates"
assert len(call_kwargs["messages"]) == 2
assert call_kwargs["messages"][0]["role"] == "system"
assert call_kwargs["messages"][1]["role"] == "user"