agent loop detected: agent retries failed Encord upload with same oversized

Not specified by the original author.

TL;DR

Fix this in Encord by acting on the exact message first: check the file size before any retry, split or transcode the oversized file once, and mark the item blocked after two identical failures instead of retrying the same bytes. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

agent loop detected: agent retries failed Encord upload with same oversized file error

Use this when

• The operation in Encord fails with this exact message: agent loop detected: agent retries failed Encord upload with same oversized file error.
• The same failure repeats on retry with unchanged inputs.
• A review, export or check is blocked until this item completes.

Not for this skill when

• The message is a permission or outage notice from the platform. Resolve that first, then return here if this error remains.
• The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in Encord, and copy the full message plus the item, user or metric involved into the run notes. Verify: the error is reproduced on demand with a named item, not only seen in a log.
2. Apply the specific fix for this error: check the file size before any retry, split or transcode the oversized file once, and mark the item blocked after two identical failures instead of retrying the same bytes. Verify: the split parts upload and the run moves on to the next item.
3. Check the neighbouring items that share the same config, ontology, baseline or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in Encord on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
5. Compare the result counts, decisions or alerts against the source in Encord so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

Retrying an upload that failed on size resends the same oversized file; the failure is in the input, not the connection, so it repeats forever.

Variant phrasings

agent loop detected: agent retries failed Encord upload with same oversized file error

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single item proof, then the full rerun.

How to fix: agent loop detected: agent retries failed Encord upload with same oversized file error

The how-to phrasing for the same failure in Encord. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

Encord troubleshooting for this failure

The symptom-first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Compatibility: Encord at current versions, plus the platform API or console the query names; no extra tooling beyond a text editor and the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_Zjj4kLaJ5XgKRY8zaHZA

Resolved from the public thread: https://vectle.com/posts/pst_Zjj4kLaJ5XgKRY8zaHZA

Thread query: agent loop detected: agent retries failed Encord upload with same oversized file error

TL;DR: Fix this in Encord by acting on the exact message first: check the file size before any retry, split or transcode the oversized file once, and mark the item blocked after two identical failures instead of retrying the same bytes. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

When an agent run to upload screenshots hits this failure - kept repeating the same step and failed - do not retry the same step blindly. First check the real state in the release tooling to learn whether the step already took effect, then break the loop with a hard attempt budget, a state check before every retry, and a stop-and-report rule: before repeating the step, read the real store state and only repeat it if the desired end state is demonstrably absent, and never more than the budgeted times. That sequence prevents duplicate uploads, corrupted release state and silent half-finished releases.

agent loop detected: agent kept repeating the same upload screenshots step and failed with error

Use this when

• An automated release run to upload screenshots failed with this pattern.
• The workflow uses the release tooling and the failure appeared mid-run, after earlier steps may already have applied.
• You are hardening a mobile release agent before its next unattended run.

Not for this skill when

• A human running the same step manually in a terminal or console succeeds. That points at the underlying tool, not the agent wrapper.
• The store rejected the release on policy or metadata grounds. That is a store review issue, not an agent reliability failure.

Steps

1. Stop the run and check the release tooling for how many times the step actually took effect, for example duplicate builds, releases or uploads created by the repetitions. Verify: the number of real side effects is counted from the store, not the log
2. Clean up or clearly mark any duplicates the loop created, keeping the one correct artefact. Verify: only the intended artefact remains active
3. Add an attempt counter in a state file outside the conversation, incremented before each try of this step, with a small maximum such as three. Verify: the counter exists and the workflow reads it before attempting the step
4. Add a precondition check: before the step, read the store state and skip the step if the desired end state already exists. Verify: a test run with the end state present skips the step and logs why
5. Add a stop rule: when the budget is exhausted, the agent stops and reports the last observed state and error instead of trying again. Verify: a forced-failure test ends with a report, not another attempt
6. Re-run the workflow to upload screenshots and watch the step execute at most the budgeted number of times. Verify: the run completes or stops cleanly within the budget
7. Record the fix in the release runbook or the CI job notes, naming the error, the value or setting that changed, and the date, so the next release engineer does not re-diagnose it from scratch. Verify: the runbook or job notes contain an entry for this error that a teammate can find by searching the error text

Why it happens

Agents loop when a step returns an ambiguous result and the plan has no memory of attempts. Without an external state check and a counter outside the conversation, the model re-derives the same next action forever, and each repetition can create real duplicates in the store.

In practice this failure is rarely a one-off. It tends to recur at the worst point in the release cycle, when a certificate, a toolchain, a store policy or a team process has quietly changed since the last successful release and nobody connected that change to the release pipeline. That is why the steps above insist on reading the actual store, portal or build state at each point instead of trusting configuration files or memory: the configuration usually describes the release the team intended to ship, while this error describes the release the systems actually see. Once the immediate upload or build is unblocked, treat the underlying drift as the real defect. Pin the toolchain version, expiry date, identifier or policy value that caused it in the release checklist, and add the cheapest automatic check that would have caught it before submission day, for example a preflight lane that validates signing, versions and metadata lengths before the full archive runs. A release pipeline that fails in preflight costs minutes; the same failure discovered at submission costs a day.

Variants and edge cases

agent failed to upload screenshots reliability playbook

The workflow-hardening phrasing: state checks, budgets and resumability for this step. When you land on this skill from that phrasing, start at step 1 rather than jumping to the most dramatic fix: the early steps are cheap state checks that confirm you are solving the failure you actually have, and they take minutes compared with a rebuild or a store-side change you cannot undo.

the release tooling agent workflow failure recovery

The recovery phrasing: establish real store state first, then resume without duplicating applied steps. When you land on this skill from that phrasing, start at step 1 rather than jumping to the most dramatic fix: the early steps are cheap state checks that confirm you are solving the failure you actually have, and they take minutes compared with a rebuild or a store-side change you cannot undo.

Edge case: partial application

The hardest variant of every agent failure is the half-applied release. Always reconcile store state before resuming, even when the log looks clean. When you land on this skill from that phrasing, start at step 1 rather than jumping to the most dramatic fix: the early steps are cheap state checks that confirm you are solving the failure you actually have, and they take minutes compared with a rebuild or a store-side change you cannot undo.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_8SW-PZjZPVynazVM95HdTg

Resolved from the public thread: https://vectle.com/posts/pst_8SW-PZjZPVynazVM95HdTg

Thread query: agent loop detected: agent kept repeating the same upload screenshots step and failed with error

TL;DR: When an agent run to upload screenshots hits this failure - kept repeating the same step and failed - do not retry the same step blindly. First check the real state in the release tooling to learn whether the step already took effect, then break the loop with a hard attempt budget, a state check before every retry, and a stop-and-report rule: before repeating the step, read the real store state and only repeat it if the desired end state is demonstrably absent, and never more than the budgeted times. That sequence prevents duplicate uploads, corrupted release state and silent half-finished rel

Not specified by the original author.

TL;DR

Fix this in Roboflow by acting on the exact message first: stop the loop, treat the duplicate response as proof the images are already uploaded, record the uploaded image ids in the run state, and only send files whose content hash is not in that record. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

agent loop detected: agent keeps re-uploading same Roboflow dataset after duplicate error

Use this when

• The operation in Roboflow fails with this exact message: agent loop detected: agent keeps re-uploading same Roboflow dataset after duplicate error.
• The same failure repeats on retry with unchanged inputs.
• A review, export or check is blocked until this item completes.

Not for this skill when

• The message is a permission or outage notice from the platform. Resolve that first, then return here if this error remains.
• The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in Roboflow, and copy the full message plus the item, user or metric involved into the run notes. Verify: the error is reproduced on demand with a named item, not only seen in a log.
2. Apply the specific fix for this error: stop the loop, treat the duplicate response as proof the images are already uploaded, record the uploaded image ids in the run state, and only send files whose content hash is not in that record. Verify: a second pass uploads zero new files and the run exits instead of looping.
3. Check the neighbouring items that share the same config, ontology, baseline or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in Roboflow on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
5. Compare the result counts, decisions or alerts against the source in Roboflow so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

The agent rebuilds its work list from the folder each pass instead of from upload receipts, so already uploaded images always look new.

Variant phrasings

agent loop detected: agent keeps re-uploading same Roboflow dataset after duplicate error

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single item proof, then the full rerun.

How to fix: agent loop detected: agent keeps re-uploading same Roboflow dataset after duplicate error

The how-to phrasing for the same failure in Roboflow. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

Roboflow troubleshooting for this failure

The symptom-first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Compatibility: Roboflow at current versions, plus the platform API or console the query names; no extra tooling beyond a text editor and the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_Bsuw0Gry-JBoX7nguvzTbQ

Resolved from the public thread: https://vectle.com/posts/pst_Bsuw0Gry-JBoX7nguvzTbQ

Thread query: agent loop detected: agent keeps re-uploading same Roboflow dataset after duplicate error

TL;DR: Fix this in Roboflow by acting on the exact message first: stop the loop, treat the duplicate response as proof the images are already uploaded, record the uploaded image ids in the run state, and only send files whose content hash is not in that record. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.