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Trubrics

Trubrics 是一個 LLM 使用者分析平台，可讓您收集、分析和管理使用者提示和 AI 模型的回饋。

查看 Trubrics repo 以取得關於 Trubrics 的更多資訊。

在本指南中，我們將介紹如何設定 TrubricsCallbackHandler。

安裝與設定​

%pip install --upgrade --quiet  trubrics langchain langchain-community

取得 Trubrics 憑證​

如果您沒有 Trubrics 帳戶，請在此處 建立一個。在本教學中，我們將使用帳戶建立時預設建立的 default 專案。

現在將您的憑證設定為環境變數

import os

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

用法​

TrubricsCallbackHandler 可以接收各種選用引數。請參閱 此處 以取得可以傳遞至 Trubrics 提示的 kwargs。

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
    """

範例​

以下是如何將 TrubricsCallbackHandler 與 Langchain LLM 或 聊天模型 搭配使用的兩個範例。我們將使用 OpenAI 模型，因此請在此處設定您的 OPENAI_API_KEY 金鑰

os.environ["OPENAI_API_KEY"] = "sk-***"

1. 使用 LLM​

from langchain_openai import OpenAI
API 參考：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_core.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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