• View
• Edit
• History
• Print

Andrius: I'm learning how to access AI programmatically through an API using Python.

• My notes for setting this up on my computer: Artificial Intelligence Set Up
• My project to automate the systematization of the epistemology of a discipline or personality: Automated Epistemology

Artificial Intelligence

Tutorial

• (Epistemologist) David Kinney. Foundations & Applications of Humanities Analytics

API

Daniel recommended a free and low-cost LLM: https://openrouter.ai/

• OpenRouter API Reference
• OpenRouter Parameters

https://openrouter.ai/openai/gpt-oss-20b:free OpenAI: gpt-oss-20b

Currently, I am making use of ollama on my desktop, which is free of charge.

Programming languages

---

Python

---

requests HTTP library for Python

langextract Daniel recommended https://github.com/google/langextract "Python library that uses LLMs to extract structured information from unstructured text documents based on user-defined instructions." I could try to craft instructions and examples related to the ideas I want to parse from documents.

• Step-by-Step Guide: Using LangExtract with OpenAI
• Kanwal Mehreen. Beginner’s Guide to Data Extraction with LangExtract and LLMs.
• LangExtract Discussions

Installation (for Linux)

 python3 -m venv langextract_env
 source langextract_env/bin/activate 
 pip3 install langextract

On-device models don't require an API key. For developers using local LLMs, LangExtract offers built-in support for Ollama. So first I run

 ollama serve

langextract alternatives

• Top 10 LangExtract Alternatives & Competitors IBM watsonx Orchestrate, Datasaur

AI Tools

https://insight7.io/5-best-ai-tools-for-qualitative-research-in-2025/

https://huggingface.co/tasks/zero-shot-classification

https://intelgic.com/text-processing-ai

Julia

Look at:

• ActiveInference.jl
• https://examples.rxinfer.com/