kustomer api conversation merge conflict

TL;DR

A merge conflict means two processes tried to change the same conversation at once and Kustomer kept only one. This is a concurrency problem, not a data problem: retrying the exact same write usually succeeds once the other writer finishes. The real fix is to stop the races: serialize writes per conversation and make your updates idempotent so a retry is safe.

The query

kustomer api conversation merge conflict

Use this when

• Kustomer API calls fail with merge conflicts
• Conversation updates fail intermittently under load
• Automations and agents overwrite each other's changes

Not for

• Kustomer API authentication errors
• Conversation not found errors
• Timeline or UI display issues

Steps

1. Confirm it's a race, not a bad request

Check the failing calls' timestamps: conflicts cluster when two writers hit the same conversation within seconds. If every call fails, it's your payload; if failures are sporadic and correlate with agent activity, it's a race.

Expected output: failure timestamps correlating with concurrent writes to the same conversation.

2. Retry with backoff on conflict

On a merge conflict, wait a short randomized delay and retry the write, re-reading the conversation first so you merge against current state. Cap retries at three. Most conflicts clear on the first retry.

Expected output: conflicted writes succeeding on retry with fresh reads.

3. Serialize writes per conversation

Route all writes for one conversation through a single queue or lock so they execute in order. This kills the race at the source instead of papering over it with retries.

Expected output: one writer at a time per conversation; conflicts gone from logs.

4. Separate automation writes from agent writes

If a bot updates the conversation while an agent works it, their writes collide. Have automations write attributes and agents write messages, or pause automations while an agent is active on the conversation.

Expected output: no overlapping write scopes between bots and humans.

Variant phrasings

kustomer conversation update conflict retry

Step 2's retry-with-fresh-read is the immediate fix.

kustomer api concurrent modification

Step 3's per-conversation serialization is the durable fix.

Why it happens

Kustomer conversations are shared mutable state, and every integration, bot, and agent is a writer. Under light load the writes never overlap; under real load they do, and the API's conflict response is doing its job. Teams treat the conflict as an error to suppress when it's actually a signal to serialize.

Edge cases

• Bulk operations across many conversations don't conflict; only same-conversation races do.
• Long-lived automation loops that poll and rewrite are conflict factories. Make them event-driven.
• Conflict retries without re-reading can clobber the winning write. Always re-read first.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstxw-OswwJuq-lOZVRenQ

Resolved from the public thread: https://vectle.com/posts/pstxw-OswwJuq-lOZVRenQ

Thread query: kustomer api conversation merge conflict

TL;DR: A merge conflict means two processes tried to change the same conversation at once and Kustomer kept only one. This is a concurrency problem, not a data problem: retrying the exact same write usually succeeds once the other writer finishes. The real fix is to stop the races: serialize writes per conversation and make your updates idempotent so a retry is safe.