Large Language Models (LLMs) have the potential of transforming the coding experience and increasing programmer productivity to new levels. PyScripter has built-in support for LLM-assisted coding, which comes in two forms.

1. A coding Assistant available in the Editor
2. Integrated Chat for interacting with LLM models

Both cloud-based and local LLM are supported:

• Cloud-based LLM
  • OpenAI models such as (GPT-3.5 Turbo and GPT-4o)
  • Gemini models such as (1.5 Flash and 1.5 Pro) by Google
  • DeepSeek models such as deepseek-chat and deepseek-reasoner
  • Grok models such as grok3 and grok-3-mini
• Local LLM models (support is provided by using Ollama). Choice of models include:
  • llama3 and codellama by Meta
  • gemma by Google
  • starcoder2 by Nvidia
  • phi and wizardlm by Microsoft
  • and many many others

Support for other cloud-based LLM services such as Claude by Anthropic is planned in future versions of PyScripter

• Prerequisites
• The Assistant
• The Chat Window