Kamiwaza Python SDK

Python client library for interacting with the Kamiwaza AI Platform. This SDK provides a type-safe interface to all Kamiwaza API endpoints with built-in authentication, error handling, and resource management.

Installation

pip install kamiwaza-client

Python SDK Usage

from kamiwaza_client import KamiwazaClient

# Initialize the client for local development
client = KamiwazaClient("http://localhost:7777/api/")

Examples

The /examples directory contains Jupyter notebooks demonstrating various use cases:

1. Model Download and Deployment - A comprehensive guide to searching, downloading, deploying, and using models with the Kamiwaza SDK
2. Quick Model Deployment - Streamlined approach to download and deploy models using a single function
3. Model Evaluation - How to evaluate and benchmark multiple language models for performance comparison using the streamlined download_and_deploy_model function
4. Structured Output - Using Kamiwaza's OpenAI-compatible interface to generate structured outputs with specific JSON schemas
5. Function Calling - Demonstrates how to use function calling (tools) with Kamiwaza's OpenAI-compatible API
6. Web Agent - Build an AI agent that can browse and interact with web pages
7. RAG Demo - Retrieval Augmented Generation using Kamiwaza's vector database and embedding services
8. App Garden and Tool Shed - Deploy containerized applications and MCP Tool servers

More examples coming soon!

Service Overview

The Kamiwaza SDK is actively being developed with new features, examples, and documentation being added regularly. Stay tuned for updates including additional example notebooks, enhanced documentation, and expanded functionality across all services.