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docs: define ChatGPT message lifecycle and completion detection

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Assessment

Difficulty
3/5
Estimated time
1-2 days
Newbie friendliness
55/100
Issue type
Documentation
Clarity
Mostly clear
Activity status
Active
Domain
documentation

Research direction

Start by locating the existing ChatGPT adapter, queue engine, and documentation structure; the issue names these components but no file paths or tests. Document the READY-to-NEXT_PROMPT lifecycle, semantic events, completion signals and fallbacks, failure paths, UI-automation/API boundaries, and a test strategy for selector or UI changes.

Written by the indexing model from the issue text.

Description

Objective

Document how QueueIt interacts with the ChatGPT web UI and how it decides that a response is complete.

Critical requirement

The next queued prompt must not be sent based on a fixed timeout.

QueueIt must observe reliable UI state and require a completion condition before advancing.

Lifecycle

READY
  -> PROMPT_INSERTED
  -> SUBMITTED
  -> GENERATING
  -> COMPLETED
  -> NEXT_PROMPT

Failure paths must cover:

  • submit failed
  • generation stopped unexpectedly
  • error response
  • page changed
  • conversation unavailable
  • selector changed
  • user manually sends a message
  • user stops generation
  • rate limit / service error

Design requirement

Keep selectors and DOM heuristics isolated in the ChatGPT adapter. The queue engine should receive semantic events such as submitted, generating, completed, and failed.

Important

The document must explicitly distinguish:

  • DOM/UI automation
  • unsupported private APIs
  • official OpenAI APIs

QueueIt MVP is a browser UI automation tool and does not provide API access or extra ChatGPT usage.

Acceptance criteria

The completion detector has documented signals, fallbacks, failure behavior, and a test strategy for UI changes.

Dominant language
CSS
Stars
0
Forks
0
PR merge metrics
No merged PRs in 30d

Getting set up

This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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