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This commit is contained in:
2026-08-20 13:12:50 +00:00
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#!/usr/bin/env python3
"""
Quick demonstration of KV cache impact
Shows the difference between correct and incorrect implementations
"""
import os
import sys
try:
from dotenv import load_dotenv
load_dotenv()
except ImportError:
pass
from _bootstrap import add_project_root
add_project_root()
from agent import KVCacheAgent, KVCacheMode
from agentbook.providers import PROVIDERS
def main():
"""Run a quick demo comparing correct vs incorrect implementation"""
# Get API key. 优先 Moonshot/Kimi;缺失时回退 OPENROUTER_API_KEY
# KVCacheAgent 会自动切换到 OpenRouter 端点并映射模型名)。
# 接受哪些环境变量由 agentbook 的 provider 注册表定义。
api_key = PROVIDERS["kimi"].api_key() or os.getenv("OPENROUTER_API_KEY")
if not api_key:
print("❌ Please set MOONSHOT_API_KEY (or KIMI_API_KEY / OPENROUTER_API_KEY)")
print(" export MOONSHOT_API_KEY='your-api-key-here'")
sys.exit(1)
print("🚀 KV Cache Quick Demo")
print("="*60)
# Simple task that requires multiple tool calls
task = """Please do the following:
1. Find all Python files in the chapter1 directory
2. Read the main.py file from the context project
3. Search for the word 'agent' in chapter1 files
4. Provide a brief summary of what you found"""
print(f"📝 Task: {task}")
print("="*60)
# Test 1: Correct implementation
print("\n✅ Testing CORRECT implementation (with KV cache)...")
print("-"*60)
agent_correct = KVCacheAgent(
api_key=api_key,
mode=KVCacheMode.CORRECT,
root_dir="../..",
verbose=False # Set to True for detailed logs
)
result_correct = agent_correct.execute_task(task, max_iterations=10)
metrics_correct = result_correct["metrics"]
print(f"✓ TTFT: {metrics_correct.ttft:.3f}s")
print(f"✓ Total Time: {metrics_correct.total_time:.3f}s")
print(f"✓ Cached Tokens: {metrics_correct.cached_tokens:,}")
print(f"✓ Cache Hits: {metrics_correct.cache_hits}")
print(f"✓ Total Tokens Used: {metrics_correct.prompt_tokens + metrics_correct.completion_tokens:,}")
# Test 2: Incorrect implementation (dynamic system prompt)
print("\n❌ Testing INCORRECT implementation (dynamic system prompt)...")
print("-"*60)
agent_incorrect = KVCacheAgent(
api_key=api_key,
mode=KVCacheMode.DYNAMIC_SYSTEM,
root_dir="../..",
verbose=False
)
result_incorrect = agent_incorrect.execute_task(task, max_iterations=10)
metrics_incorrect = result_incorrect["metrics"]
print(f"✗ TTFT: {metrics_incorrect.ttft:.3f}s")
print(f"✗ Total Time: {metrics_incorrect.total_time:.3f}s")
print(f"✗ Cached Tokens: {metrics_incorrect.cached_tokens:,}")
print(f"✗ Cache Hits: {metrics_incorrect.cache_hits}")
print(f"✗ Total Tokens Used: {metrics_incorrect.prompt_tokens + metrics_incorrect.completion_tokens:,}")
# Comparison
print("\n📊 Performance Impact:")
print("="*60)
ttft_diff = ((metrics_incorrect.ttft - metrics_correct.ttft) / metrics_correct.ttft) * 100
time_diff = ((metrics_incorrect.total_time - metrics_correct.total_time) / metrics_correct.total_time) * 100
cache_lost = metrics_correct.cached_tokens - metrics_incorrect.cached_tokens
print(f"⚡ TTFT increased by: {ttft_diff:.1f}%")
print(f"⏱️ Total time increased by: {time_diff:.1f}%")
print(f"💾 Cache tokens lost: {cache_lost:,}")
if ttft_diff > 50:
print("\n⚠️ Dynamic system prompts severely impact performance!")
print(" Even small context changes can invalidate the entire KV cache.")
print("\n💡 Key Takeaway:")
print(" Maintaining stable context is crucial for LLM performance.")
print(" Small implementation details can have major performance impacts!")
if __name__ == "__main__":
main()