Arthur
Arthur 是一個模型監控和可觀察性平台。
以下指南說明如何使用 Arthur 回呼處理器執行已註冊的聊天 LLM，以自動將模型推論記錄到 Arthur。
如果您目前沒有模型加入 Arthur，請瀏覽我們的 生成文本模型的入門指南。如需更多關於如何使用 Arthur SDK 的資訊，請瀏覽我們的 文件。
安裝與設定
在此處放置 Arthur 憑證
arthur_url = "https://app.arthur.ai"
arthur_login = "your-arthur-login-username-here"
arthur_model_id = "your-arthur-model-id-here"
回呼處理器
from langchain_community.callbacks import ArthurCallbackHandler
from langchain_core.callbacks import StreamingStdOutCallbackHandler
from langchain_core.messages import HumanMessage
from langchain_openai import ChatOpenAI
使用 Arthur 回呼處理器建立 Langchain LLM
def make_langchain_chat_llm():
return ChatOpenAI(
streaming=True,
temperature=0.1,
callbacks=[
StreamingStdOutCallbackHandler(),
ArthurCallbackHandler.from_credentials(
arthur_model_id, arthur_url=arthur_url, arthur_login=arthur_login
),
],
)
chatgpt = make_langchain_chat_llm()
Please enter password for admin: ········
執行此 run 函數的聊天 LLM 會將聊天記錄儲存在持續更新的列表中，以便對話可以參考先前的訊息，並將每個回應記錄到 Arthur 平台。您可以在您的 模型儀表板頁面 上查看此模型的推論歷史記錄。
輸入 q 以退出執行迴圈
def run(llm):
history = []
while True:
user_input = input("\n>>> input >>>\n>>>: ")
if user_input == "q":
break
history.append(HumanMessage(content=user_input))
history.append(llm(history))
run(chatgpt)
>>> input >>>
>>>: What is a callback handler?
A callback handler, also known as a callback function or callback method, is a piece of code that is executed in response to a specific event or condition. It is commonly used in programming languages that support event-driven or asynchronous programming paradigms.
The purpose of a callback handler is to provide a way for developers to define custom behavior that should be executed when a certain event occurs. Instead of waiting for a result or blocking the execution, the program registers a callback function and continues with other tasks. When the event is triggered, the callback function is invoked, allowing the program to respond accordingly.
Callback handlers are commonly used in various scenarios, such as handling user input, responding to network requests, processing asynchronous operations, and implementing event-driven architectures. They provide a flexible and modular way to handle events and decouple different components of a system.
>>> input >>>
>>>: What do I need to do to get the full benefits of this
To get the full benefits of using a callback handler, you should consider the following:
1. Understand the event or condition: Identify the specific event or condition that you want to respond to with a callback handler. This could be user input, network requests, or any other asynchronous operation.
2. Define the callback function: Create a function that will be executed when the event or condition occurs. This function should contain the desired behavior or actions you want to take in response to the event.
3. Register the callback function: Depending on the programming language or framework you are using, you may need to register or attach the callback function to the appropriate event or condition. This ensures that the callback function is invoked when the event occurs.
4. Handle the callback: Implement the necessary logic within the callback function to handle the event or condition. This could involve updating the user interface, processing data, making further requests, or triggering other actions.
5. Consider error handling: It's important to handle any potential errors or exceptions that may occur within the callback function. This ensures that your program can gracefully handle unexpected situations and prevent crashes or undesired behavior.
6. Maintain code readability and modularity: As your codebase grows, it's crucial to keep your callback handlers organized and maintainable. Consider using design patterns or architectural principles to structure your code in a modular and scalable way.
By following these steps, you can leverage the benefits of callback handlers, such as asynchronous and event-driven programming, improved responsiveness, and modular code design.
>>> input >>>
>>>: q