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pyscripter edited this page Jun 30, 2024 · 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
  • Python code is syntax highlighted
  • Python code can be easily copied to a 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.

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.

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

Next/Previous Topic
Show the next/previous topic.

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

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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The following settings can be modified:

Openai/Ollama
Choose whether you want to use cloud-based OpenAI 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 GPT-3.5 Turbo is good for coding tasks. GPT-4o model is newer, ten times more expensive, but possibly better.
  • Ollama You have a wide choice of good models. See the instructions for chosing and installing Ollama models

API key
Enter your OpenAI API key. Leave blank for Ollama models.

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

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".

The Chat context menu

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Commands:

Copy
Copies a the question or response under the cursor to the Clipboard.

Copy code
Copies the python code under the cursor to the Clipboard.

Copy code
Copies the python code under the cursor to a new editor, so that you can readliy test it.

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.

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

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