mirror of
https://github.com/tiennm99/litellm.git
synced 2026-06-18 00:48:01 +00:00
Ishaan Jaff
6ab9b0af9f
* fix: _safe_insert_cache_control_in_message * test_anthropic_cache_control_hook_system_message * docs prompt cache injection * docs fix
906 lines
34 KiB
Python
906 lines
34 KiB
Python
import datetime
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import json
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import os
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import sys
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import unittest
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from typing import List, Optional, Tuple
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from unittest.mock import ANY, MagicMock, Mock, patch
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import httpx
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import pytest
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sys.path.insert(
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0, os.path.abspath("../..")
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) # Adds the parent directory to the system-path
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import litellm
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from litellm.integrations.anthropic_cache_control_hook import AnthropicCacheControlHook
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from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
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from litellm.types.llms.openai import AllMessageValues
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from litellm.types.utils import StandardCallbackDynamicParams
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@pytest.mark.asyncio
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async def test_anthropic_cache_control_hook_system_message():
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# Use patch.dict to mock environment variables instead of setting them directly
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with patch.dict(
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os.environ,
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{
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"AWS_ACCESS_KEY_ID": "fake_access_key_id",
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"AWS_SECRET_ACCESS_KEY": "fake_secret_access_key",
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"AWS_REGION_NAME": "us-west-2",
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},
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):
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anthropic_cache_control_hook = AnthropicCacheControlHook()
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litellm.callbacks = [anthropic_cache_control_hook]
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# Mock response data
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mock_response = MagicMock()
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mock_response.json.return_value = {
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"output": {
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"message": {
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"role": "assistant",
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"content": "Here is my analysis of the key terms and conditions...",
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}
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},
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"stopReason": "stop_sequence",
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"usage": {
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"inputTokens": 100,
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"outputTokens": 200,
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"totalTokens": 300,
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"cacheReadInputTokens": 100,
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"cacheWriteInputTokens": 200,
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},
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}
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mock_response.status_code = 200
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# Mock AsyncHTTPHandler.post method
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client = AsyncHTTPHandler()
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with patch.object(client, "post", return_value=mock_response) as mock_post:
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response = await litellm.acompletion(
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model="bedrock/anthropic.claude-3-5-haiku-20241022-v1:0",
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messages=[
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{
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"role": "system",
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"content": [
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{
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"type": "text",
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"text": "You are an AI assistant tasked with analyzing legal documents.",
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},
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{
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"type": "text",
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"text": "Here is the full text of a complex legal agreement",
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},
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],
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},
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{
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"role": "user",
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"content": "what are the key terms and conditions in this agreement?",
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},
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],
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cache_control_injection_points=[
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{
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"location": "message",
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"role": "system",
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},
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],
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client=client,
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)
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mock_post.assert_called_once()
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request_body = json.loads(mock_post.call_args.kwargs["data"])
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print("request_body: ", json.dumps(request_body, indent=4))
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# Verify that cache control was applied (Bedrock transforms it to a separate item)
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cache_control_count = sum(
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1
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for item in request_body["system"]
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if isinstance(item, dict) and "cachePoint" in item
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)
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assert cache_control_count == 1, f"Expected exactly 1 cache control point, found {cache_control_count}"
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@pytest.mark.asyncio
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async def test_anthropic_cache_control_hook_user_message():
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# Use patch.dict to mock environment variables instead of setting them directly
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with patch.dict(
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os.environ,
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{
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"AWS_ACCESS_KEY_ID": "fake_access_key_id",
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"AWS_SECRET_ACCESS_KEY": "fake_secret_access_key",
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"AWS_REGION_NAME": "us-west-2",
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},
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):
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anthropic_cache_control_hook = AnthropicCacheControlHook()
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litellm.callbacks = [anthropic_cache_control_hook]
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# Mock response data
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mock_response = MagicMock()
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mock_response.json.return_value = {
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"output": {
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"message": {
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"role": "assistant",
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"content": "Here is my analysis of the key terms and conditions...",
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}
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},
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"stopReason": "stop_sequence",
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"usage": {
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"inputTokens": 100,
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"outputTokens": 200,
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"totalTokens": 300,
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"cacheReadInputTokens": 100,
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"cacheWriteInputTokens": 200,
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},
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}
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mock_response.status_code = 200
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# Mock AsyncHTTPHandler.post method
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client = AsyncHTTPHandler()
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with patch.object(client, "post", return_value=mock_response) as mock_post:
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response = await litellm.acompletion(
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model="bedrock/anthropic.claude-3-5-haiku-20241022-v1:0",
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messages=[
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{
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"role": "assistant",
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"content": [
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{
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"type": "text",
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"text": "You are an AI assistant tasked with analyzing legal documents.",
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},
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],
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},
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{
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"role": "user",
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"content": "what are the key terms and conditions in this agreement? <very_long_text>",
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},
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],
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cache_control_injection_points=[
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{
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"location": "message",
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"role": "user",
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},
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],
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client=client,
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)
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mock_post.assert_called_once()
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request_body = json.loads(mock_post.call_args.kwargs["data"])
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print("request_body: ", json.dumps(request_body, indent=4))
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# Verify the request body
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assert request_body["messages"][1]["content"][1]["cachePoint"] == {
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"type": "default"
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}
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@pytest.mark.asyncio
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async def test_anthropic_cache_control_hook_negative_indices():
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"""
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Test the bug fix for handling negative indices in cache control injection points.
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This test verifies that negative indices (-1, -2) are properly converted to positive indices
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and cache control is applied to the correct messages.
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"""
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# Use patch.dict to mock environment variables instead of setting them directly
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with patch.dict(
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os.environ,
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{
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"AWS_ACCESS_KEY_ID": "fake_access_key_id",
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"AWS_SECRET_ACCESS_KEY": "fake_secret_access_key",
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"AWS_REGION_NAME": "us-west-2",
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},
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):
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anthropic_cache_control_hook = AnthropicCacheControlHook()
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litellm.callbacks = [anthropic_cache_control_hook]
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# Mock response data
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mock_response = MagicMock()
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mock_response.json.return_value = {
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"output": {
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"message": {
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"role": "assistant",
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"content": "Here is my analysis of the key terms and conditions...",
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}
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},
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"stopReason": "stop_sequence",
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"usage": {
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"inputTokens": 100,
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"outputTokens": 200,
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"totalTokens": 300,
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"cacheReadInputTokens": 100,
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"cacheWriteInputTokens": 200,
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},
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}
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mock_response.status_code = 200
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# Mock AsyncHTTPHandler.post method
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client = AsyncHTTPHandler()
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with patch.object(client, "post", return_value=mock_response) as mock_post:
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# Test with multiple messages and negative indices
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response = await litellm.acompletion(
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model="bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
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messages=[
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{
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"role": "system",
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"content": "You are an AI assistant tasked with analyzing legal documents.",
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},
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{
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"role": "user",
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"content": "Here is the first part of the document.",
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},
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{
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"role": "assistant",
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"content": "I understand. Please provide the document.",
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},
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{
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"role": "user",
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"content": "Here is the full legal document text that should be cached.",
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},
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],
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cache_control_injection_points=[
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{
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"location": "message",
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"index": -1, # Should target the last message (index 3)
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},
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{
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"location": "message",
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"index": -2, # Should target the second-to-last message (index 2)
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},
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],
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client=client,
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)
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mock_post.assert_called_once()
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request_body = json.loads(mock_post.call_args.kwargs["data"])
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print("request_body: ", json.dumps(request_body, indent=4))
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# The input `messages` has 4 elements. After removing the system message,
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# the `request_body["messages"]` will have 3 elements (indices 0, 1, 2).
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# Verify the last message (input index -1 -> request index 2) has cache control
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last_message_content = request_body["messages"][2]["content"]
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assert isinstance(
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last_message_content, list
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), "Last message content should be a list"
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assert any(
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"cachePoint" in item
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for item in last_message_content
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if isinstance(item, dict)
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), "CachePoint missing in last message"
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# Note: Based on debug output, the hook correctly applies cache control to both messages,
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# but the Bedrock API transformation appears to only preserve cache control for user messages,
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# not assistant messages. This is a limitation of the API transformation layer.
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#
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# The second-to-last message (assistant) gets cache_control from the hook but loses it
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# during API transformation. This test documents this behavior.
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second_last_message_content = request_body["messages"][1]["content"]
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assert isinstance(
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second_last_message_content, list
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), "Second-to-last message content should be a list"
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# Check if assistant message cache control is preserved (currently it's not)
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assistant_has_cache_control = any(
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"cachePoint" in item
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for item in second_last_message_content
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if isinstance(item, dict)
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)
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print(
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f"Assistant message has cache control in final request: {assistant_has_cache_control}"
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)
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# Verify the first user message (request index 0) was NOT modified
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first_user_message_content = request_body["messages"][0]["content"]
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assert isinstance(
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first_user_message_content, list
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), "First user message content should be a list"
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assert not any(
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"cachePoint" in item
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for item in first_user_message_content
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if isinstance(item, dict)
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), "CachePoint unexpectedly found in first user message"
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@pytest.mark.asyncio
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async def test_anthropic_cache_control_hook_out_of_bounds_logging():
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"""
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Test that warning logs are generated when out-of-bounds indices are used.
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This verifies that the verbose_logger.warning is called with the correct message.
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"""
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with patch.dict(
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os.environ,
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{
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"AWS_ACCESS_KEY_ID": "fake_access_key_id",
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"AWS_SECRET_ACCESS_KEY": "fake_secret_access_key",
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"AWS_REGION_NAME": "us-west-2",
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},
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):
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anthropic_cache_control_hook = AnthropicCacheControlHook()
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litellm.callbacks = [anthropic_cache_control_hook]
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# Mock response data
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mock_response = MagicMock()
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mock_response.json.return_value = {
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"output": {
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"message": {
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"role": "assistant",
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"content": "Response",
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}
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},
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"stopReason": "stop_sequence",
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"usage": {
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"inputTokens": 50,
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"outputTokens": 100,
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"totalTokens": 150,
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},
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}
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mock_response.status_code = 200
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client = AsyncHTTPHandler()
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# Mock the verbose_logger to capture warning calls
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with patch(
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"litellm.integrations.anthropic_cache_control_hook.verbose_logger"
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) as mock_logger:
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with patch.object(client, "post", return_value=mock_response) as mock_post:
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messages = [
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{"role": "user", "content": "Message 1"},
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{"role": "user", "content": "Message 2"},
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]
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await litellm.acompletion(
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model="bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
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messages=messages,
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cache_control_injection_points=[
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{"location": "message", "index": 10}
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], # Out of bounds index
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client=client,
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)
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# Verify that warning was called with the expected message
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mock_logger.warning.assert_called_once()
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warning_call = mock_logger.warning.call_args[0][0]
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# Check that the warning message contains the expected information
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assert (
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"AnthropicCacheControlHook: Provided index 10 is out of bounds"
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in warning_call
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)
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assert "message list of length 2" in warning_call
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assert "Targeted index was 10" in warning_call
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assert "Skipping cache control injection for this point" in warning_call
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@pytest.mark.asyncio
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async def test_anthropic_cache_control_hook_negative_out_of_bounds_logging():
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"""
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Test that warning logs are generated for negative indices that are out of bounds.
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"""
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with patch.dict(
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os.environ,
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{
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"AWS_ACCESS_KEY_ID": "fake_access_key_id",
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"AWS_SECRET_ACCESS_KEY": "fake_secret_access_key",
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"AWS_REGION_NAME": "us-west-2",
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},
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):
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anthropic_cache_control_hook = AnthropicCacheControlHook()
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litellm.callbacks = [anthropic_cache_control_hook]
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# Mock response data
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mock_response = MagicMock()
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mock_response.json.return_value = {
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"output": {
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"message": {
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"role": "assistant",
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"content": "Response",
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}
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},
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"stopReason": "stop_sequence",
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"usage": {
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"inputTokens": 50,
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"outputTokens": 100,
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"totalTokens": 150,
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},
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}
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mock_response.status_code = 200
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client = AsyncHTTPHandler()
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# Mock the verbose_logger to capture warning calls
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with patch(
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"litellm.integrations.anthropic_cache_control_hook.verbose_logger"
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) as mock_logger:
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with patch.object(client, "post", return_value=mock_response) as mock_post:
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messages = [
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{"role": "user", "content": "Single message"},
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]
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await litellm.acompletion(
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model="bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
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messages=messages,
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cache_control_injection_points=[
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{
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"location": "message",
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"index": -5,
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} # Negative out of bounds index
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],
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client=client,
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)
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# Verify that warning was called with the expected message
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mock_logger.warning.assert_called_once()
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warning_call = mock_logger.warning.call_args[0][0]
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# Check that the warning message contains the original negative index
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assert (
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"AnthropicCacheControlHook: Provided index -5 is out of bounds"
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in warning_call
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)
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assert "message list of length 1" in warning_call
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assert (
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"Targeted index was -4" in warning_call
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) # -5 + 1 = -4 (converted index)
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assert "Skipping cache control injection for this point" in warning_call
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@pytest.mark.asyncio
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async def test_anthropic_cache_control_hook_multiple_user_messages():
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"""
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Test cache control injection on multiple user messages specifically.
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Note: Bedrock API combines consecutive user messages into a single message with multiple content blocks.
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"""
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with patch.dict(
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os.environ,
|
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{
|
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"AWS_ACCESS_KEY_ID": "fake_access_key_id",
|
|
"AWS_SECRET_ACCESS_KEY": "fake_secret_access_key",
|
|
"AWS_REGION_NAME": "us-west-2",
|
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},
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):
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anthropic_cache_control_hook = AnthropicCacheControlHook()
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litellm.callbacks = [anthropic_cache_control_hook]
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|
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# Mock response data
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mock_response = MagicMock()
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mock_response.json.return_value = {
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"output": {
|
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"message": {
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"role": "assistant",
|
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"content": "Response",
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}
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},
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"stopReason": "stop_sequence",
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"usage": {
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"inputTokens": 100,
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"outputTokens": 200,
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"totalTokens": 300,
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},
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}
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mock_response.status_code = 200
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client = AsyncHTTPHandler()
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with patch.object(client, "post", return_value=mock_response) as mock_post:
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# Test with multiple user messages and negative indices
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response = await litellm.acompletion(
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model="bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
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messages=[
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{
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"role": "user",
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"content": "First user message.",
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},
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{
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"role": "user",
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"content": "Second user message.",
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},
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{
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"role": "user",
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"content": "Third user message that should be cached.",
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},
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],
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cache_control_injection_points=[
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{
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"location": "message",
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"index": -1, # Should target the last message (index 2)
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},
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{
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"location": "message",
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"index": -2, # Should target the second-to-last message (index 1)
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},
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],
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client=client,
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)
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mock_post.assert_called_once()
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request_body = json.loads(mock_post.call_args.kwargs["data"])
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print(
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"Multiple user messages request_body: ",
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json.dumps(request_body, indent=4),
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)
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# Bedrock API combines consecutive user messages into a single message
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assert len(request_body["messages"]) == 1
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# The combined message should have multiple content blocks with cache control
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combined_message_content = request_body["messages"][0]["content"]
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assert isinstance(combined_message_content, list)
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|
|
# Count cache control points - should have 2 since both injection points were applied
|
|
cache_control_count = sum(
|
|
1
|
|
for item in combined_message_content
|
|
if isinstance(item, dict) and "cachePoint" in item
|
|
)
|
|
assert cache_control_count == 2
|
|
|
|
print(
|
|
f"Found {cache_control_count} cache control points in the combined message"
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
@pytest.mark.parametrize("bad_index", [10, -10])
|
|
async def test_anthropic_cache_control_hook_out_of_bounds(bad_index):
|
|
"""
|
|
Verify the hook does not raise an error and makes no changes
|
|
when an out-of-bounds index is provided.
|
|
"""
|
|
with patch.dict(
|
|
os.environ,
|
|
{
|
|
"AWS_ACCESS_KEY_ID": "fake_access_key_id",
|
|
"AWS_SECRET_ACCESS_KEY": "fake_secret_access_key",
|
|
"AWS_REGION_NAME": "us-west-2",
|
|
},
|
|
):
|
|
anthropic_cache_control_hook = AnthropicCacheControlHook()
|
|
litellm.callbacks = [anthropic_cache_control_hook]
|
|
|
|
# Mock response data
|
|
mock_response = MagicMock()
|
|
mock_response.json.return_value = {
|
|
"output": {
|
|
"message": {
|
|
"role": "assistant",
|
|
"content": "Response",
|
|
}
|
|
},
|
|
"stopReason": "stop_sequence",
|
|
"usage": {
|
|
"inputTokens": 50,
|
|
"outputTokens": 100,
|
|
"totalTokens": 150,
|
|
},
|
|
}
|
|
mock_response.status_code = 200
|
|
|
|
client = AsyncHTTPHandler()
|
|
with patch.object(client, "post", return_value=mock_response) as mock_post:
|
|
messages = [
|
|
{"role": "user", "content": "Message 1"},
|
|
{"role": "user", "content": "Message 2"},
|
|
]
|
|
|
|
await litellm.acompletion(
|
|
model="bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
|
|
messages=messages,
|
|
cache_control_injection_points=[
|
|
{"location": "message", "index": bad_index}
|
|
],
|
|
client=client,
|
|
)
|
|
|
|
mock_post.assert_called_once()
|
|
request_body = json.loads(mock_post.call_args.kwargs["data"])
|
|
|
|
# Assert that NO cache control was applied to any message
|
|
for msg in request_body["messages"]:
|
|
content = msg.get("content", [])
|
|
if isinstance(content, list):
|
|
assert not any(
|
|
"cachePoint" in item
|
|
for item in content
|
|
if isinstance(item, dict)
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
@pytest.mark.parametrize(
|
|
"message_list",
|
|
[
|
|
[{"role": "user", "content": "Single message"}]
|
|
], # Single message only - empty list will fail at API level
|
|
)
|
|
async def test_anthropic_cache_control_hook_single_message(message_list):
|
|
"""
|
|
Verify the hook runs without error on very short message lists.
|
|
"""
|
|
with patch.dict(
|
|
os.environ,
|
|
{
|
|
"AWS_ACCESS_KEY_ID": "fake_access_key_id",
|
|
"AWS_SECRET_ACCESS_KEY": "fake_secret_access_key",
|
|
"AWS_REGION_NAME": "us-west-2",
|
|
},
|
|
):
|
|
anthropic_cache_control_hook = AnthropicCacheControlHook()
|
|
litellm.callbacks = [anthropic_cache_control_hook]
|
|
|
|
# Mock response data
|
|
mock_response = MagicMock()
|
|
mock_response.json.return_value = {
|
|
"output": {
|
|
"message": {
|
|
"role": "assistant",
|
|
"content": "Response",
|
|
}
|
|
},
|
|
"stopReason": "stop_sequence",
|
|
"usage": {
|
|
"inputTokens": 50,
|
|
"outputTokens": 100,
|
|
"totalTokens": 150,
|
|
},
|
|
}
|
|
mock_response.status_code = 200
|
|
|
|
client = AsyncHTTPHandler()
|
|
with patch.object(client, "post", return_value=mock_response) as mock_post:
|
|
await litellm.acompletion(
|
|
model="bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
|
|
messages=message_list,
|
|
cache_control_injection_points=[{"location": "message", "index": -1}],
|
|
client=client,
|
|
)
|
|
|
|
mock_post.assert_called_once()
|
|
request_body = json.loads(mock_post.call_args.kwargs["data"])
|
|
# For the single message, verify cache control was applied
|
|
content = request_body["messages"][0]["content"]
|
|
assert isinstance(content, list)
|
|
assert any(
|
|
"cachePoint" in item for item in content if isinstance(item, dict)
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_anthropic_cache_control_hook_empty_message_list():
|
|
"""
|
|
Verify that empty message lists are handled appropriately (should fail at API level, not hook level).
|
|
"""
|
|
with patch.dict(
|
|
os.environ,
|
|
{
|
|
"AWS_ACCESS_KEY_ID": "fake_access_key_id",
|
|
"AWS_SECRET_ACCESS_KEY": "fake_secret_access_key",
|
|
"AWS_REGION_NAME": "us-west-2",
|
|
},
|
|
):
|
|
anthropic_cache_control_hook = AnthropicCacheControlHook()
|
|
litellm.callbacks = [anthropic_cache_control_hook]
|
|
|
|
client = AsyncHTTPHandler()
|
|
with patch.object(client, "post", return_value=MagicMock()) as mock_post:
|
|
# This should fail at the API level, not the hook level
|
|
with pytest.raises(
|
|
litellm.BadRequestError,
|
|
match="bedrock requires at least one non-system message",
|
|
):
|
|
await litellm.acompletion(
|
|
model="bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
|
|
messages=[],
|
|
cache_control_injection_points=[
|
|
{"location": "message", "index": -1}
|
|
],
|
|
client=client,
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_anthropic_cache_control_hook_no_op():
|
|
"""
|
|
Verify that if no injection points are specified, messages remain unmodified.
|
|
"""
|
|
with patch.dict(
|
|
os.environ,
|
|
{
|
|
"AWS_ACCESS_KEY_ID": "fake_access_key_id",
|
|
"AWS_SECRET_ACCESS_KEY": "fake_secret_access_key",
|
|
"AWS_REGION_NAME": "us-west-2",
|
|
},
|
|
):
|
|
anthropic_cache_control_hook = AnthropicCacheControlHook()
|
|
litellm.callbacks = [anthropic_cache_control_hook]
|
|
|
|
# Mock response data
|
|
mock_response = MagicMock()
|
|
mock_response.json.return_value = {
|
|
"output": {
|
|
"message": {
|
|
"role": "assistant",
|
|
"content": "Response",
|
|
}
|
|
},
|
|
"stopReason": "stop_sequence",
|
|
"usage": {
|
|
"inputTokens": 50,
|
|
"outputTokens": 100,
|
|
"totalTokens": 150,
|
|
},
|
|
}
|
|
mock_response.status_code = 200
|
|
|
|
client = AsyncHTTPHandler()
|
|
with patch.object(client, "post", return_value=mock_response) as mock_post:
|
|
messages = [
|
|
{"role": "user", "content": "Message 1"},
|
|
{"role": "user", "content": "Message 2"},
|
|
]
|
|
|
|
await litellm.acompletion(
|
|
model="bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
|
|
messages=messages,
|
|
# No cache_control_injection_points parameter
|
|
client=client,
|
|
)
|
|
|
|
mock_post.assert_called_once()
|
|
request_body = json.loads(mock_post.call_args.kwargs["data"])
|
|
|
|
# Assert that NO cache control was applied
|
|
for msg in request_body["messages"]:
|
|
content = msg.get("content", [])
|
|
if isinstance(content, list):
|
|
assert not any(
|
|
"cachePoint" in item
|
|
for item in content
|
|
if isinstance(item, dict)
|
|
)
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_anthropic_cache_control_hook_multiple_content_items_last_only():
|
|
"""
|
|
Test that cache_control is only applied to the last content item in a list, not all items.
|
|
This verifies the fix for https://github.com/BerriAI/litellm/issues/15696
|
|
"""
|
|
with patch.dict(
|
|
os.environ,
|
|
{
|
|
"AWS_ACCESS_KEY_ID": "fake_access_key_id",
|
|
"AWS_SECRET_ACCESS_KEY": "fake_secret_access_key",
|
|
"AWS_REGION_NAME": "us-west-2",
|
|
},
|
|
):
|
|
anthropic_cache_control_hook = AnthropicCacheControlHook()
|
|
litellm.callbacks = [anthropic_cache_control_hook]
|
|
|
|
mock_response = MagicMock()
|
|
mock_response.json.return_value = {
|
|
"output": {
|
|
"message": {
|
|
"role": "assistant",
|
|
"content": "Response",
|
|
}
|
|
},
|
|
"stopReason": "stop_sequence",
|
|
"usage": {
|
|
"inputTokens": 100,
|
|
"outputTokens": 200,
|
|
"totalTokens": 300,
|
|
},
|
|
}
|
|
mock_response.status_code = 200
|
|
|
|
client = AsyncHTTPHandler()
|
|
with patch.object(client, "post", return_value=mock_response) as mock_post:
|
|
response = await litellm.acompletion(
|
|
model="bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
|
|
messages=[
|
|
{
|
|
"role": "user",
|
|
"content": [
|
|
{"type": "text", "text": "First piece of context"},
|
|
{"type": "text", "text": "Second piece of context"},
|
|
{"type": "text", "text": "Third piece of context"},
|
|
{"type": "text", "text": "Fourth piece of context"},
|
|
{"type": "text", "text": "Fifth piece of context - should be cached"},
|
|
],
|
|
}
|
|
],
|
|
cache_control_injection_points=[
|
|
{"location": "message", "index": -1}
|
|
],
|
|
client=client,
|
|
)
|
|
|
|
mock_post.assert_called_once()
|
|
request_body = json.loads(mock_post.call_args.kwargs["data"])
|
|
|
|
print("Multi-content request_body: ", json.dumps(request_body, indent=4))
|
|
|
|
message_content = request_body["messages"][0]["content"]
|
|
assert isinstance(message_content, list)
|
|
|
|
cache_control_count = sum(
|
|
1
|
|
for item in message_content
|
|
if isinstance(item, dict) and "cachePoint" in item
|
|
)
|
|
assert cache_control_count == 1, f"Expected exactly 1 cache control point, found {cache_control_count}. This test verifies the fix for issue 15696 where cache_control was incorrectly applied to ALL content items."
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_anthropic_cache_control_hook_document_analysis_multiple_pages():
|
|
"""
|
|
Test cache_control with multiple document pages to ensure only the last page gets cached.
|
|
This simulates document analysis with 6 content blocks, verifying the fix for issue 15696.
|
|
"""
|
|
with patch.dict(
|
|
os.environ,
|
|
{
|
|
"AWS_ACCESS_KEY_ID": "fake_access_key_id",
|
|
"AWS_SECRET_ACCESS_KEY": "fake_secret_access_key",
|
|
"AWS_REGION_NAME": "us-west-2",
|
|
},
|
|
):
|
|
anthropic_cache_control_hook = AnthropicCacheControlHook()
|
|
litellm.callbacks = [anthropic_cache_control_hook]
|
|
|
|
mock_response = MagicMock()
|
|
mock_response.json.return_value = {
|
|
"output": {
|
|
"message": {
|
|
"role": "assistant",
|
|
"content": "Summary",
|
|
}
|
|
},
|
|
"stopReason": "stop_sequence",
|
|
"usage": {
|
|
"inputTokens": 100,
|
|
"outputTokens": 200,
|
|
"totalTokens": 300,
|
|
},
|
|
}
|
|
mock_response.status_code = 200
|
|
|
|
client = AsyncHTTPHandler()
|
|
with patch.object(client, "post", return_value=mock_response) as mock_post:
|
|
response = await litellm.acompletion(
|
|
model="bedrock/us.anthropic.claude-3-7-sonnet-20250219-v1:0",
|
|
messages=[
|
|
{
|
|
"role": "user",
|
|
"content": [
|
|
{"type": "text", "text": "Summarize this document"},
|
|
{"type": "text", "text": "Page 1 content"},
|
|
{"type": "text", "text": "Page 2 content"},
|
|
{"type": "text", "text": "Page 3 content"},
|
|
{"type": "text", "text": "Page 4 content"},
|
|
{"type": "text", "text": "Page 5 content - final page to cache"},
|
|
],
|
|
}
|
|
],
|
|
cache_control_injection_points=[
|
|
{"location": "message", "role": "user"}
|
|
],
|
|
client=client,
|
|
)
|
|
|
|
mock_post.assert_called_once()
|
|
request_body = json.loads(mock_post.call_args.kwargs["data"])
|
|
|
|
print("Document analysis request_body: ", json.dumps(request_body, indent=4))
|
|
|
|
message_content = request_body["messages"][0]["content"]
|
|
assert isinstance(message_content, list)
|
|
|
|
cache_control_count = sum(
|
|
1
|
|
for item in message_content
|
|
if isinstance(item, dict) and "cachePoint" in item
|
|
)
|
|
assert cache_control_count == 1, f"Expected exactly 1 cache control point (last item only), found {cache_control_count}. Before fix, this would be 6 (one for each content item)."
|