README

Modelflow AI
Anthropic

Note: This is part of the modelflow-ai project create issues in the main repository.

Note: This project is heavily under development and any feedback is greatly appreciated.

Installation

To install the Anthropic package, you need to have PHP 8.2 or higher and Composer installed on your machine. Then, you can add the package to your project by running the following command:

composer require modelflow-ai/anthropic

Examples

Here are some examples of how you can use the Anthropic in your PHP applications. You can find more detailed examples in the examples directory.

Usage

Creating a Client

First, you need to create a client. The client is the main entry point to interact with the Anthropic AI model. You can create a client using the Anthropic class:

use ModelflowAi\Anthropic\Anthropic;

$client = Anthropic::client('your-api-key');

Using the Chat Resource

The Chat resource allows you to create chat conversations and get chat completions.

use ModelflowAi\Anthropic\Model;

$chat = $client->chat();

// Create a chat conversation
$parameters = [
    'model' => Model::CLAUDE_3_OPUS->value,
    'messages' => [
        [
            'role' => 'system',
            'content' => 'You are a helpful assistant.'
        ],
        [
            'role' => 'user',
            'content' => 'Who won the world series in 2020?'
        ]
    ]
];
$response = $chat->create($parameters);

// The response is an instance of CreateResponse
echo $response->content[0]->text;

API Documentation

For more detailed information about the Anthropic API, please refer to the official API documentation.

Open Points

Streaming Tools

Streaming of tools are not yet available in the Anthropic API. As soon as they are available, we will provide a the stream option with the tools.

Text completions

The Text Completions resource is not yet in this package.

Embeddings

The Embeddings resource is not yet in the Anthropic API. As soon as it is available, we will provide a resource to generate and manipulate embeddings for your data.

Testing

To run the tests, use PHPUnit:

composer test

Contributing

Contributions are welcome. Please open an issue or submit a pull request in the main repository at https://github.com/modelflow-ai/.github.

License

This project is licensed under the MIT License. For the full copyright and license information, please view the LICENSE file that was distributed with this source code.