Arthur
Arthur 是一个模型监控和可观测性平台。
以下指南展示了如何使用Arthur回调处理程序运行已注册的聊天LLM，以自动将模型推理记录到Arthur。
如果您目前没有在Arthur上载入模型，请访问我们的生成文本模型载入指南。有关如何使用Arthur SDK的更多信息，请访问我们的文档。
安装与设置
在此处放置Arthur凭据
arthur_url = "https://app.arthur.ai"
arthur_login = "your-arthur-login-username-here"
arthur_model_id = "your-arthur-model-id-here"
回调处理程序
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回调处理程序创建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: ········
使用此run函数运行聊天LLM将把聊天历史保存在一个持续更新的列表中，以便对话可以引用先前的消息，并将每个响应记录到Arthur平台。您可以在模型仪表板页面上查看此模型的推理历史。
输入 q 退出运行循环
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