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pyscripter edited this page May 9, 2025 · 10 revisions

The Chat Window

The Chat window serves the purpose of interacting with Large Language Models (LLMs) withoug leaving PyScripter. It features the following:

  • Choice of LLMs
  • Both cloud-based and local LLM are supported
  • The chat is organized around multiple topics
  • Each topic can have its own title
  • Can save and restore the chat history and settings
  • Syntax highlighting for almost all programming languages
  • Python code can be easily copied to the clipboard or a new code editor
  • Within each topic the conversation context is maintained
  • Spell-checking the question/prompt

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Toolbar Commands:

New Topic
Adds a new chat topic.

Remove current topic
Remove the current chat topic.

Next/Previous Topic
Show the next/previous topic.

Title
Provide a title to the current topic. The topic title is displayed in the window title.

Print
Print the shown chat topic.

Save Chat history
Save chat topics to a Json file called "Chat history.json" in the same directory as PyScripter.ini. The Chat history is automatically restored whe PyScripter starts.

Settings
Shows and allows you to modify the Chat settings (see below).

Buttons in Code Boxes:

Copy (right-most)
Copies the code inside the code box to the Clipboard.

Copy Code to New Editor
Copies the code inside the code box to a new editor, so that you can readily test it.

Chat Settings

Chat settings are automatically saved when PyScripter exits and restored when PyScripter starts, in a Json file named "Chat Settings.json" in the same directory as PyScripter.ini.

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OpenAI/Gemini/Ollama
Choose whether you want to use cloud-based OpenAI/Gemini models or local Ollama models.

Endpoint
The base URL for accessing the LLM API. You shouldn't need to change the provided defaults:

Model
The model you want to use.

  • OpenAI models
    Use gpt-4.1 or the cheaper gpt-4.1-mini or any newer model.
  • DeepSeek models
    Use deepseek-chat or deepseek-reasoner.
  • Gemini models
    Use gemini-2.0-flash, gemini-2.0-flash-lite or any newer Gemini model.
  • Grok Use grok-3-latest or grok-3-mini-latest, which is a reasoning model.
  • Ollama
    You have a wide choice of good models. See the instructions for choosing and installing Ollama models.

API key
Enter your OpenAI/DeepSeek/Gemini/Grok API key. Leave blank for Ollama models.

Timeout
How long you are prepared to wait for a response in seconds.

Temperature
Decimal value between 0 and 2. Higher values like 1.2 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

Maximum number of response tokens
An integer value that determines the maximum length of the response in number of tokens which roughly correspond to words.

System prompt
A string providing context to the LLM, e.g. "You are my expert python coding assistant".

Entering prompts

When you type a question/prompt you can use parameters and modifiers. For example you can use the following prompt instead of copying and pasting code from the editor

Please explain the following code:
$[SelText]

You can invoke parameter completion with Shift+Ctrl+P and modifier completion with Shift+Ctrl+M.

You can also spell check the prompt by using the prompt context menu.

To submit your request, press Enter or click on the chat icon on the right of the question. To add a new line to the prompt editor press Shift+Enter.

You can see video demos of using the PyScripter Chat at this blog post.

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