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Interactive Solution Log for ChatGPT Conversations #2429

Closed as not planned
Closed as not planned
@vlpress

Description

@vlpress

Confirm this is a feature request for the Python library and not the underlying OpenAI API.

  • This is a feature request for the Python library

Describe the feature or improvement you're requesting

Problem Statement
When debugging or working through complex technical issues with ChatGPT, users often go through multiple iterations of commands, code changes, and troubleshooting steps. The current chat UI does not provide an easy way to track which suggestions worked, which didn’t, or to quickly reference key solutions from a long conversation.

This makes it difficult to:
Quickly review what was tried and what succeeded.
Share concise progress reports.
Efficiently find relevant parts of the dialogue after the fact.
Proposed Solution: Interactive Solution Log Sidebar
Core Features
Auto-suggestion to log solutions: ChatGPT can prompt the user after suggesting a solution:
“This step might help fix your issue. Would you like to add it to your solution log?”
User feedback: User confirms success or failure:

✅ Solution worked
❌ Solution didn’t help

Compact sidebar widget: A dedicated, collapsible pane in the UI showing a chronological list of logged solutions, with:

Short descriptive text of the solution or command
Status icon (✅ or ❌)
Timestamp

Clickable link to jump directly to that part of the conversation
Optional tags or categories (#docker, #flask, #search, #debug)

Benefits
Keeps the conversation organized and easier to navigate.
Enables quick summaries and progress tracking.
Helps users create reports or documentation based on logged solutions.
Improves the overall user experience for technical problem solving.

Optional Enhancements
Export logs to text/markdown.

Search/filter within the solution log.
Share logs with collaborators.
Example UI Sketch (textual)
[ Solution Log - 5 items ]

✅ Restarted Docker container on port 5001
[Jump to chat #45]

✅ Set VECTOR_SEARCH_SEARCH_N_RESULTS=50
[Jump to chat #78]

❌ Flask run on port 5001 didn't open in browser
[Jump to chat #52]

✅ Fixed SSL cert issue by preloading model
[Jump to chat #95]

Additional context

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