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Trubrics

Trubrics 是一个 LLM 用户分析平台,您可以收集、分析和管理用户向 AI 模型提供的提示和反馈。

有关 Trubrics 的更多信息,请查看 Trubrics repo

在本指南中,我们将介绍如何设置 TrubricsCallbackHandler

安装与设置

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

获取 Trubrics 凭证

如果您还没有 Trubrics 账户,请在 这里 创建一个。在本教程中,我们将使用账户创建时内置的 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 prompts 的 kwargs,请参见此处

class TrubricsCallbackHandler(BaseCallbackHandler):

"""
Trubrics 的回调处理程序。

Args:
project: 一个 trubrics 项目,默认项目是 "default"
email: 一个 trubrics 账户邮箱,也可以在环境变量中设置
password: 一个 trubrics 账户密码,也可以在环境变量中设置
**kwargs: 所有其他 kwargs 都将被解析并设置为 trubrics prompt 变量,或添加到 `metadata` 字典中
"""

示例

这里有两个如何将 TrubricsCallbackHandler 与 Langchain 的 LLMsChat Models 结合使用的示例。我们将使用 OpenAI 的模型,因此请在此处设置您的 OPENAI_API_KEY

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

1. 使用大型语言模型

from langchain_openai import OpenAI
API Reference: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. 配合聊天模型

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!