open-taranis 0.1.0

Minimalist Python framework for AI agents logic-only coding with streaming, tool calls, and multi-LLM provider support

open-taranis

Minimalist Python framework for AI agents logic-only coding with streaming, tool calls, and multi-LLM provider support.

Installation

pip install open-taranis --upgrade

Quick Start

import open_taranis as T

client = T.clients.openrouter("api_key")

messages = [
    T.create_user_prompt("Tell me about yourself")
]

stream = T.clients.openrouter_request(
    client=client,
    messages=messages,
    model="qwen/qwen3-4b:free", 
)

print("assistant : ",end="")
for token, tool, tool_bool in T.handle_streaming(stream) : 
    if token :
        print(token, end="")

Documentation :

• Base of the docs (coding some things before the real docs)

Roadmap

• v0.0.1: start
• v0.0.x: Add and confirm other API providers (in the cloud, not locally)
• v0.1.x: Functionality verifications in examples
• > v0.2.0: Add features for logic-only coding approach
• v0.6.x: Add llama.cpp as backend in addition to APIs
• v0.7.x: Add reverse proxy + server to create a dedicated full relay/backend (like OpenRouter), framework usable as server and client
• v0.8.x: Add PyTorch as backend with transformers to deploy a remote server
• v0.9.x: Total reduction of dependencies for built-in functions (unless counter-optimizations)
• v1.0.0: First complete version in Python without dependencies

Changelog

• v0.0.4 : Add xai and groq provider
• v0.0.6 : Add huggingface provider and args for clients.veniceai_request
• v0.1.0 : Start the docs, add update-checker and preparing for the continuation of the project...

Advanced Examples

• tools call in a JSON database
• tools call in a HR JSON database in multi-rounds

Links

• PyPI
• GitHub Repository