First Draft for Anthropic service

[karandeeps18]

Documentation for AnthropicService Python Module

This Python module provides an asynchronous interface to interact with the Anthropic API, specifically targeting the chat/completions endpoint. It is designed to encapsulate the process of making API requests, handling rate limits, and processing responses.

Requirements

• Python 3.7+
• aiohttp library for asynchronous HTTP requests
• Access to Anthropic API and a valid API key

Configuration

Before using the AnthropicService, you need to obtain an API key from Anthropic. Once acquired, you can set it as an environment variable ANTHROPIC_API_KEY or pass it directly to the AnthropicService constructor.

Module Components

AnthropicService Class

This class provides methods to interact with the Anthropic API.

1. Attributes

• base_url (str): The base URL for the Anthropic API.
• available_endpoints (list): A list of available API endpoints.
• schema (dict): The schema defining the structure for API requests. Needs to be defined according to Anthropic's API documentation.
• key_scheme (str): Environment variable key name for the API key.
• token_encoding_name (str): Encoding scheme used for rate limiting tokens.

2. Methods

• __init__(api_key=None, schema=None, token_encoding_name="cl100k_base", **kwargs): Initializes the service with an API key, request schema, and token encoding name.
• async init_endpoint(endpoint): Initializes an API endpoint, setting up any required rate limiters or other configurations.
• async serve(input_, endpoint="chat/completions", method="post", **kwargs): High-level method to serve requests. It initializes endpoints as needed and directs to the appropriate service method based on the endpoint.
• async serve_chat(messages, **kwargs): Handles requests to the chat/completions endpoint.
• async call_api(payload, endpoint, method): Makes the API call. Implementers need to fill in this method with aiohttp or another HTTP client library to perform the actual network request.
• create_payload(messages, schema, **kwargs): Generates the payload for the API request based on input messages and the provided schema.

Usage Example

import asyncio

async def main():
    anthropic_service = AnthropicService(api_key='your_api_key_here')
    prompt = "Hello, Claude. I would like to know about your capabilities."
    response = await anthropic_service.serve(prompt, endpoint="chat/completions")
    print(response)

if __name__ == '__main__':
    asyncio.run(main())

Notes

• Replace 'your_api_key_here' with your actual Anthropic API key.
• The call_api method needs to be implemented to perform HTTP requests.
• This module is designed to be extended with additional functionality, such as more endpoints or sophisticated error handling.

Error Handling

The module raises a ValueError if an unsupported endpoint is requested. Implementers should add try-except blocks to handle network errors, API rate limiting, and other exceptions that might occur during API calls.

Extending the Module

To support more endpoints or add features:

• Update available_endpoints with new endpoints.
• Extend the schema to include new request formats.
• Implement additional methods similar to serve_chat for other endpoints.

Remember to review Anthropic's API documentation for the latest endpoints, request formats, and best practices.