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import sys
import os
import io, asyncio
import pytest
sys.path.insert(0, os.path.abspath("../.."))
import litellm
from litellm.proxy.guardrails.guardrail_hooks.bedrock_guardrails import BedrockGuardrail
from litellm.proxy._types import UserAPIKeyAuth
from litellm.caching import DualCache
from unittest.mock import MagicMock, AsyncMock, patch
@pytest.mark.asyncio
async def test_bedrock_guardrails():
# Create proper mock objects
mock_user_api_key_dict = UserAPIKeyAuth()
guardrail = BedrockGuardrail(
guardrailIdentifier="wf0hkdb5x07f",
guardrailVersion="DRAFT",
mask_request_content=True,
)
request_data = {
"model": "gpt-4o",
"messages": [
{"role": "user", "content": "Hello, my phone number is +1 412 555 1212"},
{"role": "assistant", "content": "Hello, how can I help you today?"},
{"role": "user", "content": "I need to cancel my order"},
{"role": "user", "content": "ok, my credit card number is 1234-5678-9012-3456"},
],
}
response = await guardrail.async_moderation_hook(
data=request_data,
user_api_key_dict=mock_user_api_key_dict,
call_type="completion"
)
print(response)
if response: # Only assert if response is not None
assert response["messages"][0]["content"] == "Hello, my phone number is {PHONE}"
assert response["messages"][1]["content"] == "Hello, how can I help you today?"
assert response["messages"][2]["content"] == "I need to cancel my order"
assert response["messages"][3]["content"] == "ok, my credit card number is {CREDIT_DEBIT_CARD_NUMBER}"
@pytest.mark.asyncio
async def test_bedrock_guardrails_content_list():
# Create proper mock objects
mock_user_api_key_dict = UserAPIKeyAuth()
guardrail = BedrockGuardrail(
guardrailIdentifier="wf0hkdb5x07f",
guardrailVersion="DRAFT",
mask_request_content=True,
)
request_data = {
"model": "gpt-4o",
"messages": [
{"role": "user", "content": [
{"type": "text", "text": "Hello, my phone number is +1 412 555 1212"},
{"type": "text", "text": "what time is it?"},
]},
{"role": "assistant", "content": "Hello, how can I help you today?"},
{
"role": "user",
"content": "who is the president of the united states?"
}
],
}
response = await guardrail.async_moderation_hook(
data=request_data,
user_api_key_dict=mock_user_api_key_dict,
call_type="completion"
)
print(response)
if response: # Only assert if response is not None
# Verify that the list content is properly masked
assert isinstance(response["messages"][0]["content"], list)
assert response["messages"][0]["content"][0]["text"] == "Hello, my phone number is {PHONE}"
assert response["messages"][0]["content"][1]["text"] == "what time is it?"
assert response["messages"][1]["content"] == "Hello, how can I help you today?"
assert response["messages"][2]["content"] == "who is the president of the united states?"
@pytest.mark.asyncio
async def test_bedrock_guardrails_with_streaming():
from litellm.proxy.utils import ProxyLogging
from litellm.types.guardrails import GuardrailEventHooks
# Create proper mock objects
mock_user_api_key_cache = MagicMock(spec=DualCache)
mock_user_api_key_dict = UserAPIKeyAuth()
with pytest.raises(Exception): # Assert that this raises an exception
proxy_logging_obj = ProxyLogging(
user_api_key_cache=mock_user_api_key_cache,
premium_user=True,
)
guardrail = BedrockGuardrail(
guardrailIdentifier="wf0hkdb5x07f",
guardrailVersion="DRAFT",
supported_event_hooks=[GuardrailEventHooks.post_call],
guardrail_name="bedrock-post-guard",
)
litellm.callbacks.append(guardrail)
request_data = {
"model": "gpt-4o",
"messages": [
{
"role": "user",
"content": "My name is ishaan@gmail.com"
}
],
"stream": True,
"metadata": {"guardrails": ["bedrock-post-guard"]}
}
response = await litellm.acompletion(
**request_data,
)
response = proxy_logging_obj.async_post_call_streaming_iterator_hook(
user_api_key_dict=mock_user_api_key_dict,
response=response,
request_data=request_data,
)
async for chunk in response:
print(chunk)
@pytest.mark.asyncio
async def test_bedrock_guardrails_with_streaming_no_violation():
from litellm.proxy.utils import ProxyLogging
from litellm.types.guardrails import GuardrailEventHooks
# Create proper mock objects
mock_user_api_key_cache = MagicMock(spec=DualCache)
mock_user_api_key_dict = UserAPIKeyAuth()
proxy_logging_obj = ProxyLogging(
user_api_key_cache=mock_user_api_key_cache,
premium_user=True,
)
guardrail = BedrockGuardrail(
guardrailIdentifier="wf0hkdb5x07f",
guardrailVersion="DRAFT",
supported_event_hooks=[GuardrailEventHooks.post_call],
guardrail_name="bedrock-post-guard",
)
litellm.callbacks.append(guardrail)
request_data = {
"model": "gpt-4o",
"messages": [
{
"role": "user",
"content": "hi"
}
],
"stream": True,
"metadata": {"guardrails": ["bedrock-post-guard"]}
}
response = await litellm.acompletion(
**request_data,
)
response = proxy_logging_obj.async_post_call_streaming_iterator_hook(
user_api_key_dict=mock_user_api_key_dict,
response=response,
request_data=request_data,
)
async for chunk in response:
print(chunk)
@pytest.mark.asyncio
async def test_bedrock_guardrails_streaming_request_body_mock():
"""Test that the exact request body sent to Bedrock matches expected format when using streaming"""
import json
from unittest.mock import AsyncMock, MagicMock, patch
from litellm.proxy._types import UserAPIKeyAuth
from litellm.caching import DualCache
from litellm.types.guardrails import GuardrailEventHooks
# Create mock objects
mock_user_api_key_dict = UserAPIKeyAuth()
mock_cache = MagicMock(spec=DualCache)
# Create the guardrail
guardrail = BedrockGuardrail(
guardrailIdentifier="wf0hkdb5x07f",
guardrailVersion="DRAFT",
supported_event_hooks=[GuardrailEventHooks.post_call],
guardrail_name="bedrock-post-guard",
)
# Mock the assembled response from streaming
mock_response = litellm.ModelResponse(
id="test-id",
choices=[
litellm.Choices(
index=0,
message=litellm.Message(
role="assistant",
content="The capital of Spain is Madrid."
),
finish_reason="stop"
)
],
created=1234567890,
model="gpt-4o",
object="chat.completion"
)
# Mock Bedrock API response
mock_bedrock_response = MagicMock()
mock_bedrock_response.status_code = 200
mock_bedrock_response.json.return_value = {
"action": "NONE",
"outputs": []
}
# Patch the async_handler.post method to capture the request body
with patch.object(guardrail, 'async_handler') as mock_async_handler:
mock_async_handler.post = AsyncMock(return_value=mock_bedrock_response)
# Test data - simulating request data and assembled response
request_data = {
"model": "gpt-4o",
"messages": [
{
"role": "user",
"content": "what's the capital of spain?"
}
],
"stream": True,
"metadata": {"guardrails": ["bedrock-post-guard"]}
}
# Call the method that should make the Bedrock API request
await guardrail.make_bedrock_api_request(
kwargs=request_data,
response=mock_response
)
# Verify the API call was made
mock_async_handler.post.assert_called_once()
# Get the request data that was passed
call_args = mock_async_handler.post.call_args
# The data should be in the 'data' parameter of the prepared request
# We need to parse the JSON from the prepared request body
prepared_request_body = call_args.kwargs.get('data')
# Parse the JSON body
if isinstance(prepared_request_body, bytes):
actual_body = json.loads(prepared_request_body.decode('utf-8'))
else:
actual_body = json.loads(prepared_request_body)
# Expected body based on the convert_to_bedrock_format method behavior
expected_body = {
'source': 'OUTPUT',
'content': [
{'text': {'text': "what's the capital of spain?"}},
{'text': {'text': 'The capital of Spain is Madrid.'}}
]
}
print("Actual Bedrock request body:", json.dumps(actual_body, indent=2))
print("Expected Bedrock request body:", json.dumps(expected_body, indent=2))
# Assert the request body matches exactly
assert actual_body == expected_body, f"Request body mismatch. Expected: {expected_body}, Got: {actual_body}"
@pytest.mark.asyncio
async def test_bedrock_guardrail_aws_param_persistence():
"""Test that AWS auth params set on init are used for every request and not popped out."""
from litellm.proxy._types import UserAPIKeyAuth
from litellm.types.guardrails import GuardrailEventHooks
guardrail = BedrockGuardrail(
guardrailIdentifier="wf0hkdb5x07f",
guardrailVersion="DRAFT",
aws_access_key_id="test-access-key",
aws_secret_access_key="test-secret-key",
aws_region_name="us-east-1",
supported_event_hooks=[GuardrailEventHooks.post_call],
guardrail_name="bedrock-post-guard",
)
with patch.object(guardrail, "get_credentials", wraps=guardrail.get_credentials) as mock_get_creds:
for i in range(3):
request_data = {
"model": "gpt-4o",
"messages": [
{"role": "user", "content": f"request {i}"}
],
"stream": False,
"metadata": {"guardrails": ["bedrock-post-guard"]}
}
with patch.object(guardrail.async_handler, "post", new_callable=AsyncMock) as mock_post:
# Configure the mock response properly
mock_response = AsyncMock()
mock_response.status_code = 200
mock_response.json = MagicMock(return_value={"action": "NONE", "outputs": []})
mock_post.return_value = mock_response
await guardrail.make_bedrock_api_request(kwargs=request_data, response=None)
assert mock_get_creds.call_count == 3
for call in mock_get_creds.call_args_list:
kwargs = call.kwargs
print("used the following kwargs to get credentials=", kwargs)
assert kwargs["aws_access_key_id"] == "test-access-key"
assert kwargs["aws_secret_access_key"] == "test-secret-key"
assert kwargs["aws_region_name"] == "us-east-1"
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