mirror of
https://github.com/BerriAI/litellm.git
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191 lines
6.5 KiB
Python
191 lines
6.5 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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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 the request body
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assert request_body["system"][1]["cachePoint"] == {"type": "default"}
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@pytest.mark.asyncio
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async def test_anthropic_cache_control_hook_user_message():
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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_specific_index():
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"""Test injecting cache control at a specific message index"""
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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 = MagicMock()
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mock_response.json.return_value = {
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"output": {"message": {"role": "assistant", "content": "Test response"}},
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"stopReason": "stop_sequence",
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"usage": {"inputTokens": 100, "outputTokens": 200, "totalTokens": 300},
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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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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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{"role": "system", "content": "System message"},
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{"role": "user", "content": "User message"},
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{"role": "assistant", "content": "Assistant message"},
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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, # Target the second message specifically
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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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# Verify cache control was added only to the second message
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assert "cache_control" not in request_body["messages"][0]
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assert request_body["messages"][1]["cache_control"] == {"type": "ephemeral"}
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assert "cache_control" not in request_body["messages"][2]
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