Note

This toolkit supports Anthropic's newest Claude Sonnet 3.5 model (as of October 22, 2024)

Overview

The Claude AI Toolkit makes it easy to use Anthropic's latest Claude 3.5 'Sonnet' model, along with the Claude 3 'Opus', 'Sonnet' and 'Haiku' language models for creating chatbots, generating text, and analyzing images. It's designed for everyone, from beginners to experienced developers, allowing quick addition of AI features to projects with simple commands. While it offers simplicity and lightweight integration, it doesn't compromise on power; experienced developers can access the full suite of advanced options available via the API, ensuring robust customization and control. This toolkit is perfect for those looking to efficiently tap into advanced AI without getting bogged down in technical details, yet it still provides the depth needed for complex project requirements.

Key Features

• Conversational AI: Create interactive, real-time chat experiences (chatbots) or AI assistants.
• Image Captioning: Generate detailed descriptions and insights or create captions from images.
• Text Generation: Produce coherent and contextually relevant text and answers from simple prompts.
• Highly Customizable: Tailor settings like streaming output, system prompts, sampling temperature and more to suit your specific requirements.
• Lightweight Integration: Efficiently designed with minimal dependencies, requiring only the requests package for core functionality.

Prerequisites

• Python 3.x
• An API key from Anthropic

Dependencies

The following Python packages are required:

• requests: For making HTTP requests to the Claude API.

The following Python packages are optional:

• python-dotenv: For managing API keys and other environment variables.

Installation

To use the Claude AI Toolkit, clone the repository to your local machine and install the required Python packages.

Clone the repository:

git clone https://github.com/RMNCLDYO/claude-ai-toolkit.git

Navigate to the repositories folder:

cd claude-ai-toolkit

Install the required dependencies:

pip install -r requirements.txt

Configuration

1. Obtain an API key from Anthropic.

2. You have three options for managing your API key:

   Click here to view the API key configuration options

   • Setting it as an environment variable on your device (recommended for everyday use)

     • Navigate to your terminal.
     • Add your API key like so:

       export CLAUDE_API_KEY=your_api_key

     This method allows the API key to be loaded automatically when using the wrapper or CLI.

   • Using an .env file (recommended for development):

     • Install python-dotenv if you haven't already: pip install python-dotenv.
     • Create a .env file in the project's root directory.
     • Add your API key to the .env file like so:

       CLAUDE_API_KEY=your_api_key

     This method allows the API key to be loaded automatically when using the wrapper or CLI, assuming you have python-dotenv installed and set up correctly.

   • Direct Input:

     • If you prefer not to use a .env file, you can directly pass your API key as an argument to the CLI or the wrapper functions.

       CLI

       --api_key "your_api_key"

       Wrapper

       api_key="your_api_key"

     This method requires manually inputting your API key each time you initiate an API call, ensuring flexibility for different deployment environments.

Usage

The Claude AI Toolkit can be used in three different modes: Chat, Text, and Vision. Each mode is designed for specific types of interactions with the suite of models.

Chat Mode

Chat mode is intended for chatting with an AI model (similar to a chatbot) or building conversational applications.

Example Usage

CLI

python cli.py --chat

Wrapper

from claude import Chat

Chat().run()

An executable version of this example can be found here. (You must move this file to the root folder before running the program.)

Text Mode

Text mode is suitable for generating text content based on a provided prompt.

Example Usage

CLI

python cli.py --text --prompt "Write a haiku about robots."

Wrapper

from claude import Text

Text().run(prompt="Write a haiku about robots.")

An executable version of this example can be found here. (You must move this file to the root folder before running the program.)

Vision Mode

Vision mode allows for generating text based on a combination of text prompts and images.

Example Usage

CLI

python cli.py --vision --prompt "Describe this image." --image "https://upload.wikimedia.org/wikipedia/commons/a/a7/Camponotus_flavomarginatus_ant.jpg"

Wrapper

from claude import Vision

Vision().run(prompt="Describe this image.", image="https://upload.wikimedia.org/wikipedia/commons/a/a7/Camponotus_flavomarginatus_ant.jpg")

An executable version of this example can be found here. (You must move this file to the root folder before running the program.)

Advanced Configuration

CLI and Wrapper Options

Description	CLI Flags	CLI Usage	Wrapper Usage
Enable chat mode	-c, --chat	--chat	See mode usage above.
Enable text mode	-t, --text	--text	See mode usage above.
Enable vision mode	-v, --vision	--vision	See mode usage above.
User prompt	-p, --prompt	--prompt "Write a haiku about robots."	prompt="Write a haiku about robots."
Image file path or url	-i, --image	--prompt "Describe this image." --image "image_path_or_url"	prompt="Describe this image.", image="image_path_or_url"
API key for authentication	-a, --api_key	--api_key "your_api_key"	api_key="your_api_key"
Model name	-m, --model	--model "claude-3-5-sonnet-20241022"	model="claude-3-5-sonnet-20241022"
Enable streaming mode	-s, --stream	--stream	stream=True
System prompt (instructions)	-sp, '--system_prompt	--system_prompt "You are an advanced AI assistant."	system_prompt="You are an advanced AI assistant."
Maximum tokens to generate	-mt, --max_tokens	--max_tokens 1024	max_tokens=1024
Sampling temperature	-tm, --temperature	--temperature 0.7	temperature=0.7
Nucleus sampling threshold	-tp, --top_p	--top_p 0.9	top_p=0.9
Top-k sampling threshold	-tk, --top_k	--top_k 40	top_k=40
Stop sequences for completion	-ss, --stop_sequences	--stop_sequences ["\n", "."]	stop_sequences=["\n", "."]

To exit the program at any time, you can type exit or quit. This command works similarly whether you're interacting with the program via the CLI or through the Python wrapper ensuring that you can easily and safely conclude your work with the Claude AI Toolkit without having to resort to interrupt signals or forcibly closing the terminal or command prompt.

Available Models

Model	Max Tokens
claude-3-5-sonnet-20241022	4096
claude-3-opus-20240229	4096
claude-3-haiku-20240307	4096

Vision Mode Requirements & Suggestions:

Supported MIME (image) types: JPEG, PNG, GIF, and WEBP.

For optimal performance, Anthropic recommends resizing your images before uploading if it is likely to exceed size or token limits. If your image's long edge is more than 1568 pixels, or your image is more than ~1600 tokens, it will first be scaled down, preserving aspect ratio, until it is within size limits. If your input image is too large and needs to be resized, it will increase latency of time-to-first-token, without giving you any additional model performance. Very small images under 200 pixels on any given edge may lead to degraded performance.

Contributing

Contributions are welcome!

Please refer to CONTRIBUTING.md for detailed guidelines on how to contribute to this project.

Reporting Issues

Encountered a bug? We'd love to hear about it. Please follow these steps to report any issues:

1. Check if the issue has already been reported.
2. Use the Bug Report template to create a detailed report.
3. Submit the report here.

Your report will help us make the project better for everyone.

Feature Requests

Got an idea for a new feature? Feel free to suggest it. Here's how:

1. Check if the feature has already been suggested or implemented.
2. Use the Feature Request template to create a detailed request.
3. Submit the request here.

Your suggestions for improvements are always welcome.

Versioning and Changelog

Stay up-to-date with the latest changes and improvements in each version:

• CHANGELOG.md provides detailed descriptions of each release.

Security

Your security is important to us. If you discover a security vulnerability, please follow our responsible disclosure guidelines found in SECURITY.md. Please refrain from disclosing any vulnerabilities publicly until said vulnerability has been reported and addressed.

License

Licensed under the MIT License. See LICENSE for details.