PotreeConverter SIGSEGV — memory safety violation on malformed pointcloud

Now I'll invoke the RCA skill to perform the analysis.

Good - I have clear evidence. Exit code 139 = SIGSEGV (segmentation fault) from the PotreeConverter

Now I have good evidence. Let me also look at the earlier error (06:23:00 UTC) and check the regions

Now let me search for the specific pointcloud IDs that failed around the error times to understand t

Interesting - the IDs `108456` and `199894` are significantly lower than the other IDs in the `1063x

All 6 errors (3 occurrences x 2 log entries each) are only from today (2026-04-30), and only in the

Now I have enough evidence to write the RCA report. Let me create the output directory and write the

RCA report written. Per the user's instruction, I will **not** modify the cluster frontmatter (the p

RCA complete. Report written to `content/docs/incidents/eab4be3a-502e-4fc6-8034-f4694b433e9f/rca.mdx

Now I have the cluster details. Let me invoke the RCA skill.

Let me search Datadog logs and identify the repository in parallel.

Excellent data. Now let me get info logs around the failing times and identify the repo. Let me also

The potree-agent is not in the sparse checkout. Let me search across all repos for PotreeService.

Found it. It's in `cupixworks/applications/agents/packages/cupix-tesla-potree-agent/`. Let me read t

Now I have the complete picture. Let me also check how `child_process.exec` is used — specifically,

The download file logs are debug-level only (not available in Datadog). Let me now check the exact I

Now let me correlate the failing IDs with queue regions. Let me also check if there's a historical p

All 6 errors are from the same day (April 30). Let me check the shared-config for memory/resource li

Now I have enough evidence to write the RCA. Let me compile the analysis:

Now I have everything I need. Let me write the RCA report.

There's already a draft RCA report. Let me review it carefully against the evidence I gathered. The

Now I can see the second failure more clearly. The crash at 15:56:02 corresponds to a message from `

The IDs around 06:55-06:56 are all 1063xxx (normal US region). The crash at 06:56:02 came from the `

I can see that multiple agents are processing in parallel. The `exec` at 15:55:56 corresponds to an

RCA report written. The instructions say not to modify the cluster frontmatter (the pipeline manages

RCA complete. Here's the summary:

Now let me invoke the RCA skill.

Let me search Datadog logs and identify the repository in parallel.

The potree agent is not a standalone directory — it's likely under the `agents` monorepo. Let me sea

Found it. Let me read the source code and search for more log context in parallel.

Excellent. Now let me search for more context — the IDs involved in the failures and the error handl

Let me get more context — the affected pointcloud IDs for the failing runs, the version file, and ch

Now let me correlate the failed IDs with the error timestamps. I need to find which IDs were being p

Now let me find which specific IDs were processing when the segfaults happened. I need to look at ti

Now I have the complete picture for the first failure. Let me check the other two as well to correla

Now I have a clear picture. Let me check which regions were involved and if the issue is region-spec

Now I have all the evidence. Let me check the CPPointcloud model and the get_dependency script to un

I now have all the evidence needed. Let me check if the incident directory exists and then write the

The directory exists and there's already an rca.mdx. Let me read it first as required, then overwrit

The existing RCA report is already comprehensive and well-evidenced. It was generated from a previou

Now let me update the todo and confirm the report is complete.

RCA report written to `./content/docs/incidents/eab4be3a-502e-4fc6-8034-f4694b433e9f/rca.mdx`. Per i

RCA complete for cluster `eab4be3a-502e-4fc6-8034-f4694b433e9f`. Report written to `./content/docs/i

Now I'll invoke the RCA skill.

Let me search Datadog logs, identify the repository, and gather initial context in parallel.

No `potree-agent` directory directly. The service name contains `any-potree-agent` — let me check if

Found it. Let me explore the potree agent code and search for `PotreeService` and `runPotreeConverto

Now let me read the constants file for the PotreeConverter path, and search for broader context logs

Now let me search for info-level logs around the error times to understand which pointclouds were be

Now let me look for the specific pointcloud IDs that failed. The errors at 15:56:02 and 15:56:41 — l

Now let me get the pointcloud IDs that failed. Let me search more specifically.

Now I have a clear picture. Let me search for the pointcloud IDs that actually segfaulted and check

Now let me find the Dockerfile to understand the PotreeConverter binary setup, and also check for hi

Now let me check historical frequency of this error pattern and look for the specific pointcloud IDs

So all 3 occurrences happened on the same day (2026-04-30). No prior history in the last 14 days. Le

Good — many successful conversions in the same time window. Now let me understand the error handling

Now I have all the evidence I need. Let me compile the findings:

The file already exists. Let me read it first.

The file already has a comprehensive RCA report. Let me now write the updated version with my analys

Now the user asked me NOT to modify the cluster frontmatter. Let me confirm the task is complete.

RCA report written to `./content/docs/incidents/eab4be3a-502e-4fc6-8034-f4694b433e9f/rca.mdx`. Clust

Now I'll invoke the RCA skill to perform the analysis.

Good, I have the error logs. Now let me search for broader context — info/warn logs around these tim

Now let me search for the specific IDs that failed and check region information.

Good. The warn log "getApiErrorToDeleteMessage | undefined error" is important — it confirms the err

Now let me read the constants and Dockerfile for configuration details.

Now let me check the shared config for MaxReceiveCount and other relevant constants.

Critical finding: The `reject()` at line 312 is called without an argument, so the error is `undefin

Excellent — key finding: the standard potree agent has **4GB memory** (`container_memory = 1024 * 4`

The directory exists and there's already an `rca.mdx`. Let me read it before overwriting.

There's already a comprehensive RCA report. Let me verify it against the evidence I gathered to see

The existing RCA report is accurate and well-evidenced. The IDs (108456, 199894) and queue URLs matc

I see that between 06:56:02 and 06:56:41, the only relevant ID started is 199894 (at 06:56:04). The

RCA report written to `./content/docs/incidents/eab4be3a-502e-4fc6-8034-f4694b433e9f/rca.mdx`. Per y

RCA complete for cluster `eab4be3a-502e-4fc6-8034-f4694b433e9f`. Report written to `./content/docs/i

Now I have the cluster details. Let me invoke the RCA skill.