python-sdk

Name: python-sdk
Availability: InStock
Author: maximoseo

Run inference.sh apps and build agents with a Python SDK.

Updated Aug 23, 2026

Search Tags:#automation #python #sdk #agents #tool-builder #inference.sh

Ready to run

npx skills add https://github.com/maximoseo/html-redesign-vps --skill python-sdk-maximoseo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python-sdk
Source: https://github.com/maximoseo/html-redesign-vps/tree/main/.agents/skills/python-sdk
Command: npx skills add https://github.com/maximoseo/html-redesign-vps --skill python-sdk-maximoseo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Developers need a unified Python interface to run inference.sh apps, build agents, and integrate with 150+ models across workflows.

Core Features & Use Cases

Python SDK to run AI apps, manage agents, and orchestrate tool-building workflows with the Inference.sh platform.
Supports synchronous and asynchronous execution, streaming, and agent/tool builder APIs.
Ideal for building AI-powered apps, automation pipelines, and research workflows.

Quick Start

Install the inferencesh package and import the SDK to start building AI apps.

Frequently Asked Questions about python-sdk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build AI agents and automate workflows using a Python SDK?▼

You can build AI agents and automate workflows using the Python SDK by installing the inferencesh package, which provides a unified interface to run inference.sh apps, manage agents, and orchestrate tool-building workflows across 150+ models.

Does the Python SDK support asynchronous execution and streaming for AI inference?▼

Yes, the Python SDK supports asynchronous execution and streaming for AI inference. It allows developers to run synchronous and asynchronous workflows, making it ideal for building responsive AI-powered apps and automation pipelines.

What Python version is required to use the inference.sh SDK for agent development?▼

The inference.sh SDK requires Python 3.8 or higher for agent development. You need to install the inferencesh package to start integrating with 150+ models and using the tool builder API.

Can I integrate 150+ AI models into my data science app using a single Python interface?▼

Yes, you can integrate 150+ AI models into your data science app using the Python SDK. It provides a single interface to run inference.sh apps, build agents, and orchestrate tool-building workflows for research and product applications.

What is the best way to orchestrate tool-building workflows for AI automation in Python?▼

The best way to orchestrate tool-building workflows for AI automation in Python is using the SDK's tool builder API. It enables developers to build agents, manage workflows, and integrate with 150+ models across research, data science, and product apps.

Are there limitations when using the Python SDK for synchronous and asynchronous execution?▼

The Python SDK supports both synchronous and asynchronous execution without explicit limitations mentioned. It requires Python 3.8+ and the inferencesh package to function across AI automation, agent development, and workflow tooling tasks.