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How to add GenAI to your applications with Anthropic Claude API

How to add GenAI to your applications with Anthropic Claude API

How to add GenAI to your applications with Anthropic Claude API

Get an overview of common Claude use cases and then learn how to add generative AI to your applications with the Anthropic Claude API

 

Why use Claude? Sample use cases

Why would you even want to integrate your application with Anthropic’s Claude API?

With GenAI, users can provide prompts to the AI model and receive outputs in natural language. This flexibility gives applications previously unheard of capabilities.

1. Enable open-ended conversation and exploration

One of Claude's greatest strengths is its ability to engage in open-ended dialogue. This capability allows you to add conversational powers to your applications.

2. Create intelligent chatbots and conversational agents

Similarly, Claude can understand natural language prompts and generate appropriate responses. If you integrate the API with your application, you can build advanced chatbots and virtual assistants that can hold natural, contextual conversations.

3. Perform research and analysis

Claude excels at creating, editing, and summarizing articles, stories, scripts, reports, and other content. It can analyze content your users provide and assist with research projects, literature reviews, and even data analysis.

4. Assist with creative ideation

Because Claude was trained on an extensive body of knowledge, it can brainstorm ideas for everything from product design to marketing campaigns and artistic projects. It may be able to provide fresh ideas and unique perspectives for your applications.

5. Improve coding and technical tasks

Because Claude can write and explain code in various programming languages, it can provide guidance on applications that deal with code, such as data platforms or integrated development environments.

A quick look at parameters

Before we dive in to the actual walkthrough, let’s quickly cover the different parameters you’ll see in the Anthropic API. 

In my case, let’s imagine I have an app that helps people be happy and find the meaning of life. I want it to respond to my user’s questions in a helpful manner. To do this, I'll need to configure certain parameters to tune the LLM’s response.

model

This refers to the Claude model that will be used to process your request. As of writing, Claude 3 is the latest version which includes three models: Opus, Sonnet, and Haiku. Opus is the most advanced. Sonnet balances intelligence and speed, making it ideal for enterprise workloads and scaled AI deployments. Haiku is the fastest and most compact model.

max_tokens

This places a limit on the number of tokens that will be generated. The model may finish before this limit is reached. Each model has its own max limit, which means you cannot set max_tokens with a value higher than the model’s limit.

temperature

This indicates the amount of randomness in the response, with values near 0.0 being almost deterministic and values closer to 1.0 being more creative.

system

This corresponds to the system prompt. It’s a way of providing instructions and assigning goals or roles for Claude.

messages

This corresponds to the input messages, or what you send to Claude and what it replies with. Each input message is made up of a role and the content. user refers to what you send, and assistant refers to what the model replies. The content is either what you send or what the model replies.  

If you want to have a conversation, you need to include all of the messages in your request. Here’s an example of a conversation with alternating user and assistant messages.

[  {"role": "user", "content": "Hi, I am Xavier."},  {"role": "assistant", "content": "Hi, I'm Claude. How can I help you Xavier?"},  {"role": "user", "content": "Can you tell me the meaning of life?"}, ]

Other parameters

There are other parameters you can use, like stream to receive the response in a continuous stream instead of all at once, or stop_sequences to specify a condition for the model to stop generating an answer.

How to integrate your application with the Claude API

Now let me show you how to use the Claude API with Python, my language of choice.

To integrate your application with Claude, you need to be able to make calls to its API. There are several ways to connect your app with the Claude API: You can make direct HTTP calls, use the TypeScript SDK, or use the Python System Development Kit (SDK). I’ll be focusing on the Python SDK method. 

Note: Right now, Claude is only available in certain regions. If your region isn’t supported yet, you’ll unfortunately have to wait.

Getting started with the Claude API

To access and use the Claude API, you need to set up a console account. Once you do, you’ll be taken to the Dashboard. You may receive some free credits to get started, but you’ll eventually need to pay to use it.

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Next up, navigate to the API keys screen and create a key. Remember, you are responsible for how your keys are used, so don’t commit them to repositories or post them on any potentially public platform. Store them securely.

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Once you’re set up with access to the Claude API and have a key, it’s time to integrate your application.

Use the Anthropic API Quickstart Colab Notebook

Now it’s time to decide where you’ll run your code. You can use the Anthropic API Quickstart Colab Notebook or run it locally in your machine with Jupyter Notebook. The choice is up to you—I’ll explain how to use both.

Colab is great because it’s a web application that provides a version of Jupyter Notebook that runs in Google. Anthropic provides a Colab notebook you can use to get started—just be sure to make a copy first!

The instructions in this notebook are self explanatory.

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Work locally in your machine with Jupyter Notebook

If you’d prefer not to use the Colab notebook, you can work locally in your development environment. This can give you a better understanding of the environment you’ll need to replicate in your deployment machines.

To get started, you’ll need:

 

  • A version of Python the SDK supports. Check the documentation in the prerequisites section for the minimum version.
  • The Anthropic Python client SDK which is currently hosted in GitHub.

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