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Trubrics 是一个 LLM 用户分析平台,可让您收集、分析和管理 AI 模型上的用户提示和反馈。 请查看 Trubrics 仓库以获取有关 Trubrics 的更多信息。
在本指南中,我们将介绍如何设置 TrubricsCallbackHandler

安装和设置

pip install -qU  trubrics langchain langchain-community

获取 Trubrics 凭证

如果您没有 Trubrics 帐户,请在此处创建一个。在本教程中,我们将使用帐户创建时内置的 default 项目。 现在将您的凭证设置为环境变量:
import os

os.environ["TRUBRICS_EMAIL"] = "***@***"
os.environ["TRUBRICS_PASSWORD"] = "***"
from langchain_community.callbacks.trubrics_callback import TrubricsCallbackHandler

用法

TrubricsCallbackHandler 可以接收各种可选参数。有关可以传递给 Trubrics 提示的 kwargs,请参阅此处
class TrubricsCallbackHandler(BaseCallbackHandler):

    """
    Callback handler for Trubrics.

    Args:
        project: a trubrics project, default project is "default"
        email: a trubrics account email, can equally be set in env variables
        password: a trubrics account password, can equally be set in env variables
        **kwargs: all other kwargs are parsed and set to trubrics prompt variables, or added to the `metadata` dict
    """

示例

以下是两个如何将 TrubricsCallbackHandler 与 LangChain LLM聊天模型一起使用的示例。我们将使用 OpenAI 模型,因此在此处设置您的 OPENAI_API_KEY 密钥
os.environ["OPENAI_API_KEY"] = "sk-***"

1. 使用 LLM

from langchain_openai import OpenAI
llm = OpenAI(callbacks=[TrubricsCallbackHandler()])
2023-09-26 11:30:02.149 | INFO     | trubrics.platform.auth:get_trubrics_auth_token:61 - User jeff.kayne@trubrics.com has been authenticated.
res = llm.generate(["Tell me a joke", "Write me a poem"])
2023-09-26 11:30:07.760 | INFO     | trubrics.platform:log_prompt:102 - User prompt saved to Trubrics.
2023-09-26 11:30:08.042 | INFO     | trubrics.platform:log_prompt:102 - User prompt saved to Trubrics.
print("--> GPT's joke: ", res.generations[0][0].text)
print()
print("--> GPT's poem: ", res.generations[1][0].text)
--> GPT's joke:

Q: What did the fish say when it hit the wall?
A: Dam!

--> GPT's poem:

A Poem of Reflection

I stand here in the night,
The stars above me filling my sight.
I feel such a deep connection,
To the world and all its perfection.

A moment of clarity,
The calmness in the air so serene.
My mind is filled with peace,
And I am released.

The past and the present,
My thoughts create a pleasant sentiment.
My heart is full of joy,
My soul soars like a toy.

I reflect on my life,
And the choices I have made.
My struggles and my strife,
The lessons I have paid.

The future is a mystery,
But I am ready to take the leap.
I am ready to take the lead,
And to create my own destiny.

2. 使用聊天模型

from langchain.messages import HumanMessage, SystemMessage
from langchain_openai import ChatOpenAI
chat_llm = ChatOpenAI(
    callbacks=[
        TrubricsCallbackHandler(
            project="default",
            tags=["chat model"],
            user_id="user-id-1234",
            some_metadata={"hello": [1, 2]},
        )
    ]
)
chat_res = chat_llm.invoke(
    [
        SystemMessage(content="Every answer of yours must be about OpenAI."),
        HumanMessage(content="Tell me a joke"),
    ]
)
2023-09-26 11:30:10.550 | INFO     | trubrics.platform:log_prompt:102 - User prompt saved to Trubrics.
print(chat_res.content)
Why did the OpenAI computer go to the party?

Because it wanted to meet its AI friends and have a byte of fun!

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