Dynamic context window suggestion and other ChatGPT Ideas)

ChatGPT Feature requests
1

Suggestion Summary: :slight_smile:
“Implement an automated system for managing the context window. When a certain percentage of the window is reached, a background process could dynamically summarize or condense older content. This would optimize token usage, preserve relevant context, and ensure seamless long-form conversations without requiring manual interventions or explicit summarization prompts.”

2

Feature Suggestion: Context Window Utilization Indicator

Summary:
Implement a graphical UI element that provides an estimate or, ideally, a real-time reference to the current utilization of the context window.

Purpose:

Helps users track how much of the context window has been consumed.

Allows for informed decisions on whether to continue in the same conversation or start a new one.

Use Cases:

Project Management: Users managing large discussions (e.g., software design, documentation, research) can track context usage without guesswork.

Coding Support: Developers sharing extensive code snippets and context-heavy requirements can gauge when the conversation risks hitting the token limit.

General Long-Form Use: For brainstorming, summaries, or knowledge retention, users can monitor how close they are to the limit.

Proposed Implementation:

  1. Progress Bar: A simple bar indicating the percentage of the context window used.

  2. Real-Time Metrics: Optionally display tokens used/remaining (e.g., 10k/128k tokens used).

  3. Warnings: Provide a subtle visual warning or notification when the usage exceeds key thresholds (e.g., 75%, 90%).