Anthropic Tools: Say Goodbye to Traditional Function Calling
Summary
TLDR这个视频教程向观众展示了如何使用Anthropic工具简化与Anthropic AI模型Claude进行功能调用的过程。首先,演示了如何从GitHub克隆Anthropic工具库并安装必要的依赖项。然后,通过设置工具名称、描述和参数,创建了一个简单的加法工具。最后,演示了如何将此工具分配给Claude,并要求其解决一个涉及水果计数的问题。总的来说,该教程向观众介绍了使用Anthropic工具的基本流程,这种方式比传统的功能调用更加简单高效。
Takeaways
- 🤖 本视频介绍了 Anthropic 工具的使用, 可以简化函数调用的过程。
- 📝 首先需要克隆 github.com/anthropic/anthropic-tools 仓库, 安装相关依赖。
- ✏️ 接着在 app.py 中从 tools 包导入 base_tool 和 tool_user。
- ➕ 定义了一个加法工具, 可以将两个数相加。
- 🔖 为工具添加名称、描述和参数说明, 以帮助 AI 理解工具的功能。
- 🧩 将定义好的工具添加到 tool_user 中。
- ✉️ 在 messages 变量中提出一个需要计算的问题。
- 🚀 调用 tool_user.use_tools 来执行任务, 传入 messages 和执行模式。
- 💻 运行 app.py 后可以看到正确的计算结果。
- 🌐 其他示例工具包括天气、转换器、维基百科搜索等, 可供进一步尝试。
Q & A
什么是Anthropic工具?
-Anthropic工具是一种简化函数调用过程的方法,可以让你直接将自己的函数或知识库集成到大型语言模型中,而不需要处理繁琐的XML标记。
为什么需要Anthropic工具?
-大型语言模型在处理一些任务时表现不佳,比如数学计算。通过Anthropic工具,我们可以将自定义功能集成到语言模型中,弥补其不足。
使用Anthropic工具有哪些步骤?
-一共有三个步骤:1.创建工具及其描述 2.将工具添加到Anthropic API 3.要求语言模型执行任务
视频中演示的是什么样的工具?
-视频中演示的是一个加法计算工具,可以将两个数字相加。
Anthropic工具是如何与语言模型交互的?
-通过ToolUser包中的代码,Anthropic工具会将请求发送到API,语言模型会根据工具的功能给出响应。
Anthropic工具有哪些优势?
-Anthropic工具使得集成自定义功能变得非常简单,无需处理复杂的XML标记,可以更高效地利用语言模型的能力。
除了加法工具,视频中还提到了哪些其他工具?
-视频中还提到了天气工具、信息API转换工具、计算器工具、维基百科搜索工具、Brave搜索工具、ElasticSearch工具和SQL工具。
如何创建自定义的Anthropic工具?
-你需要从basetools包导入BaseTools类,定义工具的名称、描述和参数,然后将其添加到ToolUser中。
为什么大型语言模型在处理某些任务时表现不佳?
-大型语言模型通常在某些特定领域或需要外部数据源的任务中表现不佳,这就是需要Anthropic工具来弥补不足的原因。
除了提供的示例,Anthropic工具还可以用于哪些其他场景?
-Anthropic工具可以用于各种需要调用外部API、数据库或其他服务的场景,为语言模型提供更强大的功能扩展。
Outlines
🔑 介紹 Anthropic 工具
本段詳細介紹了 Anthropic 工具的概念,並說明了它如何簡化函數調用的過程。作者還提到,他將逐步講解如何創建 Anthropic 工具、設置工具描述、將工具添加到 Anthropic API 中以及執行任務。同時,作者邀請觀眾訂閱他的 YouTube 頻道以獲取更多關於人工智能的視頻內容。最後,他演示了如何設置 Python 開發環境、導入所需的包以及創建一個新文件 app.py 供後續編碼使用。
🏁 總結和呼籲參與
本段總結了前面介紹的 Anthropic 工具,並讚揚了它簡化函數調用的優勢。作者提到 Anthropic 還提供了其他工具樣例供用戶嘗試,如天氣工具、消息 API 轉換工具、計算器工具等。最後,作者鼓勵觀眾在評論區分享對本教程的反饋,並宣佈了他計劃製作更多類似的視頻內容,敦促觀眾訂閱他的頻道,對視頻點贊。
Mindmap
Keywords
💡anthropic 工具
💡功能调用
💡cloe
💡api
💡git克隆
💡python 环境
💡安装依赖
💡工具描述
💡自动执行模式
💡github
Highlights
This video demonstrates how to use Anthropic Tools to simplify the process of function calling with Claude.
The first step is to create a tool by defining its functionality, such as an addition tool that adds two numbers.
The second step is to create a description for the tool to help Claude understand what the tool does.
The third step is to assign the tool to Claude and provide a task that requires the tool's functionality.
The video shows how to set up the project environment, including cloning the Anthropic Tools repository, creating a virtual environment, and installing the required packages.
The video demonstrates running the code with the addition tool and how Claude uses the tool to solve a word problem involving addition.
The video highlights that Anthropic Tools simplify the process of function calling by handling the heavy lifting of parsing XML values, making API calls, and defining the model.
The video mentions that Anthropic Tools provide various example tools, such as weather, message API converter, calculator, Wikipedia search, Brave search, Elasticsearch, and SQL tools.
The video encourages viewers to try the example tools and provide feedback in the comments.
The video is part of a series on Artificial Intelligence, and the creator regularly creates videos on this topic.
The video emphasizes the importance of subscribing, clicking the bell icon, and liking the video to stay updated and support the creator's efforts.
The video provides step-by-step instructions for setting up the project environment and running the code with the addition tool.
The video explains how the code is structured, with the base_tool package handling the tool functionality and the tool_user package interacting with the Claude API.
The video demonstrates how to define the tool parameters, including the expected data types.
The video showcases the log output that displays each time Claude calls the addition tool, providing transparency into the tool's usage.
Transcripts
this is amazing now we have anthropic
tools from anthropic so what is
anthropic tool this is similar to
function calling but simplifies the
process of function calling I've already
covered how to do function calling in
anthropic Cloe in my previous video
which I will link that in the
description below in function calling
you can see a lot of XML tags we need to
think about we need to pause these XML
tags then calculate to get a final
response but this anthropic tool will
simplify all that work that's exactly
what we're going to see today let's get
[Music]
started hi everyone I'm really excited
to show you about anthropic Tools in
this we are going to cover how to create
anthropic tool set tool description add
the tool to anthropic API and finally
perform a task I'm going to take you
through step by step but before that I
regularly create videos in regards to
Artificial Intelligence on my YouTube
channel so do subscribe and click the
Bell icon to stay stay tuned make sure
you click the like button so this video
can be helpful for many others like you
first git clone github.com
anthropics anthropic tools and then
click enter next navigate to the
anthropic tools folder now cond create
hyphen and anthropic python 311 and then
click enter Now cond activate anthropic
and click enter export your anthropic AP
key like this and then click enter now
pip install hyphen requirements.txt and
then click enter now let's create a file
called app.py and let's open it so if
you see anthropic tools folder this is
how it will look like in the tool use
package you have tool user and inside
the tools folder we have base tool so
these are the two packages which we are
going to use base tool and Tool user
tool user calls the API using base tool
we are going to create a tool so inside
app.py from Tool use package tool base
tool and import base tool next importing
tool user so the first step defining the
tool we are going to create a addition
tool this is going to add two numbers
together which you can see here return a
plus b a simple tool so as you probably
know function calling is integrating
your own function or own tool own
knowledge base own rag with a lar
language model now second step we need
to create description for the tool so
this is used by the L language model to
understand what this tool does so name
of the tool is perform addition tool
description is add one number to another
number returning a plus b next tool
parameters A and B both float which
means number in simple terms now we
defining the addition tool and pausing
the addition tool name addition tool
description and addition tool parameters
all three together like this now the
third step is to assign the tool and ask
clo to perform a task so as mentioned
before tool user is is where the API
request to Cloe happens so we defining
that and adding the tool here next we
are giving a task it is listed in the
messages variable here you can see as a
user that is me I'm asking Cloe John has
three apples Maggie has nine apples Tim
has four bananas if John gives Maggie
one apple and Tim gives John two bananas
how much total fruits does each person
have so as you properly know large
language model are not good at
mathematical calculation so we need to
have a tool to perform this task so
that's why we added this addition tool
now finally we are going to initiate by
calling tool user.use tools and passing
the messages execution mode is automatic
that's it only three section first we
created a tool this could be your own
tool our own software then we Define a
description for the tool thirdly we
assign that tool and asking Cloe to
complete this task now we are going to
run this code in your terminal Python
app.py and then click enter now you can
see it's adding three and minus one so
I've added the log here so that's what
it's printing here so each and every
single time Cloe is calling this tool
that is the time it is getting printed
here so now it's calculating using this
calculator tool and finally here is the
answer in summary John has four total
fruits two apples and two bananas Maggie
has 10 apples Tim has two bananas that
is correct using anthropic tools is the
most simple approach in regards to do
function calling in anthropic clo this
is just a basic example now to show the
files you can see in this tool use
package this tool user is doing all the
heavy lifting of parsing those XML
values which we saw previous ly making
the API call defining the model and much
more you also have many other example
tools which you can try which is the
weather tool messages API converter tool
calculator tool Wikipedia search tool
Brave Search tool elastic search tool
SQL tool now you can try and let me know
in the comments below what you think
about this I'm really excited about this
I'm going to create more videos similar
to this so stay tuned I hope you like
this video do like sh subscribe and
thanks for watching
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