Can I use this skill with remote Ollama instances?

Yes, by configuring the OLLAMA_HOST environment variable, you can point this skill to any network-accessible Ollama server, including those running in containers.

How do I check if my local Ollama server is running using this skill?

The skill includes a dedicated connection health check function that verifies the server status and ensures specific models are available before execution.

What is the primary benefit of using the direct REST API skill?

It provides maximum control over HTTP interactions, allowing for custom headers, specific timeouts, and direct debugging of raw JSON responses from the Ollama server.

Does this skill support streaming responses?

Yes, it includes specific implementation patterns for handling line-by-line streaming from both the /api/generate and /api/chat endpoints.

Ollama REST API Integration

Name: Ollama REST API Integration
Author: atrawog

byatrawog

API 开发

Facilitates direct REST API operations for local Ollama instances using the Python requests library.

关于

This skill provides a comprehensive toolkit for developers to interact directly with the Ollama REST API, offering granular control over local Large Language Model (LLM) workflows. It covers the full spectrum of API capabilities, including model management, text generation, chat completions, and embedding extraction. By using the standard requests library, it enables advanced patterns like streaming responses, performance metric tracking, and robust error handling, making it an essential resource for building custom AI integrations or debugging local model interactions.

主要功能

Complete REST API endpoint coverage for all Ollama functionalities
Support for both streaming and non-streaming text generation and chat
Automated model management including listing, copying, and deleting
Detailed response metrics for benchmarking tokens per second and latency
0 GitHub stars
Robust error handling and connection health check implementations

使用场景

Benchmarking LLM performance on local hardware via raw API metrics
Building custom Python-based AI agents and automation scripts
Developing local RAG systems by managing embeddings and model endpoints

关于

主要功能

Complete REST API endpoint coverage for all Ollama functionalities
Support for both streaming and non-streaming text generation and chat
Automated model management including listing, copying, and deleting
Detailed response metrics for benchmarking tokens per second and latency
0 GitHub stars
Robust error handling and connection health check implementations

使用场景

Benchmarking LLM performance on local hardware via raw API metrics
Building custom Python-based AI agents and automation scripts
Developing local RAG systems by managing embeddings and model endpoints