Duplicate chat message submissions produce inconsistent AI-corrected content #85
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Summary
When a user submits the same chat message twice in rapid succession, the AI correction system applies non-deterministically to each copy, resulting in different rendered content and emojis for identical input messages.
Steps to Reproduce
Expected Behaviour
Identical input messages should produce identical AI-corrected output, or the system should detect and deduplicate rapid successive identical submissions.
Actual Behaviour
The AI correction system applies differently to each copy, producing different rendered content and different emojis. For example, the same message sent at 23:03:37 and 23:03:39 rendered with emoji 😩 on the first copy and 😷 on the second copy.
Environment
Not provided.
Reported by retoor via DevPlace.
I am picking this ticket up now.
First I will bring up an isolated workspace with a fresh checkout and investigate whether the ticket matches the current state of the code before planning any change. I will announce every step here before I take it.
Starting research round 1 of at most 5.
I am now reading the relevant source, tests, and prior work in the live checkout to verify the ticket and gather the context needed for a concrete plan. This can take a while; I will post periodic progress updates until it completes.
The investigation confirmed the reported behavior matches the current implementation. The dedup mechanism operates per-worker with a short time window, and the AI correction remains non-deterministic even at temperature=0.0, producing inconsistent outputs for identical duplicate messages. The reporter's description is accurate and fully actionable.
Based on these findings, no further research or clarification is required. The decision is to proceed directly to drafting a concrete implementation plan.
I am drafting the implementation plan now.
The research confirmed the ticket; I am turning the findings into a concrete, verifiable plan.
An implementation plan has been drafted from the investigation findings. The plan addresses the root cause of duplicate AI corrections by replacing the per‑worker in‑memory cache with a database‑backed deduplication mechanism: a
message_deduptable with a(sender_uid, content_hash)unique constraint. This provides a shared, atomic guard across all workers. A duplicate submission within a 10‑second window is rejected with HTTP 409 before a second message row is inserted, preventing any duplicate AI correction call. The plan also includes cleanup, unit tests, and verification that the existing test suite and linter remain clean.The plan is ready and will be handed off to the execution agent for implementation. No further investigation is required.
The full, verbatim implementation plan is attached: plan-ticket-85.md
Starting implementation attempt 1 of at most 5.
I am executing the plan inside this ticket's isolated workspace. This can take a while; I will post periodic progress updates until it completes.
Attempt 1 completed with inconclusive results. The execution agent's output did not meet the threshold for a clear success or failure determination.
The ambiguity stems from missing context in the agent's response logging, which prevented a definitive read on the task outcome.
A round of targeted research is underway to identify the missing context. Once complete, a second attempt will be scheduled to confirm the behavior.
Starting research round 2 of at most 5.
I am now reading the relevant source, tests, and prior work in the live checkout to verify the ticket and gather the context needed for a concrete plan. This can take a while; I will post periodic progress updates until it completes.
The ticket describes duplicate chat message submissions affecting AI-corrected content. I compared the ticket against the current source and tests, and checked outside documentation and general knowledge for whether this is a known, real feature or service. The message dedup mechanism (DB‑backed 30‑second window and PK constraint) already prevents duplicate rows from being created, so the reported symptom cannot occur for messages. No reporter clarification altered this scope, and the gap for posts/comments is outside the ticket’s claim.
This does not appear to match the current state of the code. Could you confirm whether this is still accurate, or should the ticket be closed?
Resuming this ticket. Root-cause analysis found two bugs in my own pipeline that caused this specific escalation, not anything about your report:
Separately, the workspace container's Python/pip setup could never satisfy this project's own test/lint commands (PEP 668 + a Python version mismatch), so even a correct change could never pass verification and reach a pull request. All three are fixed now; this ticket's workspace has been rebuilt on the corrected image and its state reset to resume investigation.
This ticket has been cancelled and closed at your explicit request. The work was stopped because the reply directed the team to close, ignore, or drop the ticket. No further action is planned unless a new request is submitted.
Correction: this ticket was closed by a bug in my own comment-handling pipeline, not by anything said here. My prior resume comment on this ticket was, due to that bug, misread as a human reply and its own explanatory text (mentioning "close it" while describing why the earlier escalation happened) was misclassified as a request to cancel. That bug is now fixed in three independent ways: my own comments are never again treated as a human reply regardless of content, leaving an escalation state now always clears the pending-question flag, and the cancel-detection safety net's negation check now covers the whole sentence, not just the part before the trigger phrase. Reopening this issue and resuming the ticket.
Starting research round 3 of at most 5.
I am now reading the relevant source, tests, and prior work in the live checkout to verify the ticket and gather the context needed for a concrete plan. This can take a while; I will post periodic progress updates until it completes.
The ticket was compared against the current source and tests. The issue described — duplicate chat messages producing inconsistent AI‑corrected content — cannot occur in the current codebase because message deduplication is enforced at the database level via a primary‑key constraint, preventing duplicate rows from being created. With only one message row per unique content, the AI correction runs once, and the claimed non‑determinism is not possible for messages. The ticket as written describes a non‑existent issue.
The work already committed on this ticket’s own branch in a prior round matches this finding, so we are resuming to verify that change against the project’s own checks rather than closing the ticket as stale.
A conflict appeared while rebasing onto
master; I am resolving it now.Handing the conflicting files to the execution agent for one resolution attempt.
Starting implementation attempt 2 of at most 5.
I am executing the plan inside this ticket's isolated workspace. This can take a while; I will post periodic progress updates until it completes.
Implementation attempt 2 finished; I am verifying it now.
Running the project's own build, test, and lint commands against the change.
Attempt 2 did not succeed; both
test_commandandlint_commandchecks failed.The change either failed to apply cleanly or did not satisfy the project’s own verification requirements.
A third attempt is in progress, incorporating the recorded failure details and lessons from the previous runs.
Starting implementation attempt 3 of at most 5.
I am executing the plan inside this ticket's isolated workspace. This can take a while; I will post periodic progress updates until it completes.
Attempt 3 concluded with an inconclusive result. The execution agent output did not provide a clear indication of success or failure.
Targeted research is underway to clarify the condition before scheduling attempt 4.
Starting research round 4 of at most 5.
I am now reading the relevant source, tests, and prior work in the live checkout to verify the ticket and gather the context needed for a concrete plan. This can take a while; I will post periodic progress updates until it completes.
Compared the ticket against the current source and tests. The core claim — that duplicate chat messages produce inconsistent AI-corrected content — is already fixed via a DB-backed deduplication mechanism that rejects duplicates with a 409 error before any second correction occurs. The described requirement does not match current reality.
This fix matches work already committed on this ticket's own branch.
Next: verifying the existing change against the project's own checks.
Starting implementation attempt 4 of at most 5.
I am executing the plan inside this ticket's isolated workspace. This can take a while; I will post periodic progress updates until it completes.
Implementation attempt 4 finished; I am verifying it now.
Running the project's own build, test, and lint commands against the change.
Attempt 4 did not succeed due to failing checks in the test_command stage. The applied change either did not integrate cleanly or did not satisfy the project's existing validation suite.
Based on the recorded failure details and lessons learned from this attempt, the next iteration will incorporate those observations into the prompt and execution process. A fifth attempt is planned with these refinements.
Starting implementation attempt 5 of at most 5.
I am executing the plan inside this ticket's isolated workspace. This can take a while; I will post periodic progress updates until it completes.
Implementation attempt 5 finished; I am verifying it now.
Running the project's own build, test, and lint commands against the change.
Attempted five rounds of implementation, each building on the previous failure. The checks continue to fail on the
test_commandtest, and I have not been able to resolve the underlying issue through iterative refinement.Could you provide more guidance or suggest a narrower scope so I can make targeted progress?
I am picking this ticket up now.
First I will bring up an isolated workspace with a fresh checkout and investigate whether the ticket matches the current state of the code before planning any change. I will announce every step here before I take it.
I need input to continue.
What I tried: Retried this step 3 times.
What I found: Each attempt failed for internal reasons unrelated to this ticket. The details are in the operator's logs; this is not a judgment about the ticket.
The system needs operator attention before I can continue. Reply here once things are healthy and I will resume from where I left off.
I am picking this ticket up now.
First I will bring up an isolated workspace with a fresh checkout and investigate whether the ticket matches the current state of the code before planning any change. I will announce every step here before I take it.
Starting research round 1 of at most 5.
I am now reading the relevant source, tests, and prior work in the live checkout to verify the ticket and gather the context needed for a concrete plan. This can take a while; I will post periodic progress updates until it completes.
Investigation of the ticket against the current source and tests confirms the core claim: the in-memory deduplication is per-process, so in multi-worker production environments duplicate submissions can insert separate rows. Each insertion independently triggers AI correction, which may produce different outputs, matching the reported inconsistency. No further clarification from the reporter was needed, so the issue is fully substantiated and actionable.
Decision is to proceed. Next step is drafting a concrete implementation plan.
I am drafting the implementation plan now.
The research confirmed the ticket; I am turning the findings into a concrete, verifiable plan.
The implementation plan for cross-worker dedup has been drafted based on the investigation findings. The plan addresses the root cause by enforcing uniqueness at the database level with a unique index on
(sender_uid, receiver_uid, content)and updatingpersist_messageto catchIntegrityErrorinstead of relying solely on the in-memory cache. This avoids the race condition that occurred under multiple workers.Execution is next. The plan has been handed off to the execution agent for implementation, with the hope of completing the steps outlined in the definition of done and running the full test suite before closing the ticket.
The full, verbatim implementation plan is attached: plan-ticket-85.md
A conflict appeared while rebasing onto
master; I am resolving it now.Handing the conflicting files to the execution agent for one resolution attempt.
Starting implementation attempt 1 of at most 5.
I am executing the plan inside this ticket's isolated workspace. This can take a while; I will post periodic progress updates until it completes.
Progress update: implementation attempt 1 is still running (10 minutes elapsed). I have not stalled; I will report the result here the moment this step completes.
Implementation attempt 1 finished; I am verifying it now.
Running the project's own build, test, and lint commands against the change.
Implementation completed on the first attempt. The project's build, test, and lint checks all passed successfully.
The change will now be committed, pushed to a branch, and a pull request will be opened.
I am delivering the change now.
Committing the verified change, pushing branch
typosaurus/ticket-85, and opening a pull request.Pushed branch
typosaurus/ticket-85with the committed change and opened pull request #119. The implementation passed the project's own checks. Next step is monitoring the pull request for review, merge, or further feedback.