管理代理記憶體
使用 Hugging Face smolagents 的 AI 代理
Adel Nehme
VP of AI Curriculum, DataCamp
預設無狀態
每次呼叫 .run() 都是全新開始。
- 範例：
career_advisor.run("What career skills should I highlight?")
You should highlight Python, SQL, data visualization,
machine learning fundamentals, and communication skills tailored to business outcomes.
career_advisor.run("Can you format those skills as bullet points?")
Sorry, I'm not sure which skills you're referring to. Could you clarify?
在互動間保留記憶
career_advisor.run("What career skills should I highlight?")
You should highlight Python, SQL, data visualization,
machine learning fundamentals, and communication skills tailored to business outcomes.
- 傳入
reset=False：
career_advisor.run("Can you format those skills as bullet points?", reset=False)
Sure! Here are the skills as bullet points:
- Python
- SQL
- Data visualization
...
記憶體也能幫你除錯
User: What's the expected salary?
Agent: It's $80,000
User: Wait, that seems wrong...
Agent: Sorry, I'm not sure what you mean
檢視代理在此次執行中發生了什麼：
- 檢閱代理產生的所有程式碼
- 追蹤其推理、動作與工具使用
- 偵錯錯誤答案或有問題的邏輯
代理實際執行了哪些程式碼？
.return_full_code() 方法可讓你查看所有已執行的程式碼。
executed_code = career_advisor.memory.return_full_code()
print(executed_code)
# ...other steps omitted for brevity
salary = 80000 # <- hardcoded?
# script continues...
代理在想什麼？
conversation_steps = career_advisor.memory.get_succinct_steps()
print(conversation_steps[5])
{
"step_number": 5,
"tool_calls": [
{"function": {"name": "python_interpreter"}},
{"function": {"name": "web_search"}}
],
"code_action": "import requests\nskills = requests.get('api.jobsearch.com').json()",
"observations": "resume_agent found 15 relevant skills for transition",
"token_usage": {"total_tokens": 334},
...
}
儲存代理工作階段以供分析
import json
def save_agent_memory(agent):
with open("agent_memory.json", "w") as f:
json.dump(agent.memory.get_succinct_steps(), f, indent=2, default=str)
# Save memory to a file
save_agent_memory(career_advisor)
記錄可協助你：
- 事後分析
- 回歸測試
- 隨時間改善代理行為
修正代理失敗：可調整項目
- 記憶體問題： 使用
reset=False，或有意地重設 - 推理問題： 嘗試更強的模型
- 行為不一致： 改善系統提示
- 工具混淆： 釐清工具的 docstring
一起來練習吧！
使用 Hugging Face smolagents 的 AI 代理
