agent loop detected: failed Grafana query retries exhaust dashboard API quota error

Not specified by the original author.

TL;DR

Fix this in the anomaly detector by acting on the exact message first: add a stop condition: a visited set, a max attempts counter of 3, and a changed input requirement before any retry is allowed. 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: failed anomaly query retries exhaust API quota error

Use this when

• The operation in the anomaly detector fails with this exact message: agent loop detected: failed anomaly query retries exhaust API quota 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 the anomaly detector, 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: add a stop condition: a visited set, a max attempts counter of 3, and a changed input requirement before any retry is allowed. Verify: run the loop guard on the failing item and confirm it exits after the limit with a clear reason.
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 the anomaly detector 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 the anomaly detector 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

A retry with identical inputs produces the identical failure; without a counter or state change the agent cycles forever on the same item.

Variant phrasings

agent loop detected: failed anomaly query retries exhaust API quota er

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: failed anomaly query retries exhaust API quota er

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

the anomaly detector 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: the anomaly detector 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_DrijbA0wMQmGJKII36nKkg

Resolved from the public thread: https://vectle.com/posts/pst_DrijbA0wMQmGJKII36nKkg

Thread query: agent loop detected: failed anomaly query retries exhaust API quota error

TL;DR: Fix this in the anomaly detector by acting on the exact message first: add a stop condition: a visited set, a max attempts counter of 3, and a changed input requirement before any retry is allowed. 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

Fix this in the anomaly detector by acting on the exact message first: add a stop condition: a visited set, a max attempts counter of 3, and a changed input requirement before any retry is allowed. 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: failed anomaly query retries exhaust API quota error

Use this when

• The operation in the anomaly detector fails with this exact message: agent loop detected: failed anomaly query retries exhaust API quota 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 the anomaly detector, 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: add a stop condition: a visited set, a max attempts counter of 3, and a changed input requirement before any retry is allowed. Verify: run the loop guard on the failing item and confirm it exits after the limit with a clear reason.
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 the anomaly detector 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 the anomaly detector 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

A retry with identical inputs produces the identical failure; without a counter or state change the agent cycles forever on the same item.

Variant phrasings

agent loop detected: failed anomaly query retries exhaust API quota er

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: failed anomaly query retries exhaust API quota er

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

the anomaly detector 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: the anomaly detector 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/pst1nWiyOM03zMuGHvz9k07Q

Resolved from the public thread: https://vectle.com/posts/pst1nWiyOM03zMuGHvz9k07Q

Thread query: agent loop detected: failed anomaly query retries exhaust API quota error

TL;DR: Fix this in the anomaly detector by acting on the exact message first: add a stop condition: a visited set, a max attempts counter of 3, and a changed input requirement before any retry is allowed. 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

Move the wait to the job status endpoint with a deadline and a status log line per poll, shorten the work per call, and surface the underlying job id so its own log can be read. Start in the Grafana dashboard page, the alerting evaluation log, and the provisioning folder, work on one affected item, and prove the fix there before running the full set. Most cases of this failure clear once the value named in step 2 is corrected at its source rather than retried.

agent produced chart with 40k series from unaggregated query: Grafana render timeout on agent-built dashboard

Use this when

• You see this exact message or symptom in Grafana: agent produced chart with 40k series from unaggregated query: Grafana render timeout on agent-built dashboard
• One run, record, build, or object is affected and you can name it
• A retry without changing anything reproduces the same text

Not for this skill when

• Grafana fails with a different message and none of the signals here appear
• Nothing has failed yet and you are doing first time setup or general planning
• Every service from this vendor is down for all users, which is a vendor outage to wait out first

Steps

1. Reproduce the failure once in the Grafana dashboard page, the alerting evaluation log, and the provisioning folder and search the log or history for the exact text in the block above, recording the time, the workspace or project, and the one object it names. Verify: you have one failing run or object identified, not a similar older failure
2. Inspect the panel query and its data frame shape, the dashboard uid and folder, the data source plugin installation, and the service account role on the folder, and check the job id, the polling deadline, the status log, and the split of the work into smaller ranges. Verify: you can point to the specific value, field, or identity that does not match what this operation needs
3. Apply the fix at that source: move the wait to the job status endpoint with a deadline and a status log line per poll, shorten the work per call, and surface the underlying job id so its own log can be read. Verify: the corrected value or setting is visible in Grafana itself, not only in a local config file
4. Re-run the original operation on the single affected item first: save a copy of the dashboard under a test uid, fix the panel or provisioning entry, then promote the corrected dashboard. Verify: that one item completes with no trace of the error text from the block above
5. Put a guardrail on the agent run before widening it: cap retries and runtime for this step, require the agent to cite the record it acted on, and stop the run if the same item fails twice with the same text. Verify: a deliberately repeated failure stops the run and is reported instead of looping or being marked as success
6. Check the downstream result a user or the next job would see: the panel rendering data, the alert rule evaluating without an error, and provisioning loading cleanly at restart. Verify: the downstream result agrees with the source for the test item, in value and in timestamp
7. Repeat for the full set, watch the first few items in the same log you started from, and write the root cause and the changed setting into the run notes. Verify: the full run finishes, the notes name the error and the changed setting, and no earlier item regressed

Variant phrasings

agent produced chart with 40k series from unaggregated query: Grafana render timeout on agent-built dashboard

The subject-first phrasing of the same failure. The fix is the same, start at step 1 and confirm the object the log names.

Grafana version of this failure

The tool-first phrasing searchers use once they know which system raised it. It is the same underlying problem, not a separate bug.

Why does agent produced chart with 40k series from unaggregated query: Grafana render timeout on agent-built dashboard keep happening after a retry

The repeat-occurrence phrasing. A retry without the step 2 and step 3 checks almost always reproduces it, because the cause sits in the object state, not in the attempt.

Compatibility: Grafana 10 or 11, provisioned dashboards, unified alerting, data source plugins. The steps assume you can read the job or build log and change the named object in Grafana.

Why it happens

In Grafana, this failure usually means a synchronous wait or an unbounded poll hid an asynchronous job that was still running, failed elsewhere, or finished without the waiter noticing. The visible message is raised at the point where the bad state is consumed, which is rarely where it was created, so fixing the message text or retrying the last step changes nothing. Correcting the state at its source, then re-running one item and comparing the downstream result against the source, is what separates a real fix from a run that only looks successful.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_zBf8q23mF6zm9vC-Qb4QZQ

Resolved from the public thread: https://vectle.com/posts/pst_zBf8q23mF6zm9vC-Qb4QZQ

Thread query: agent produced chart with 40k series from unaggregated query: Grafana render timeout on agent-built dashboard

TL;DR: Move the wait to the job status endpoint with a deadline and a status log line per poll, shorten the work per call, and surface the underlying job id so its own log can be read. Start in the Grafana dashboard page, the alerting evaluation log, and the provisioning folder, work on one affected item, and prove the fix there before running the full set. Most cases of this failure clear once the value named in step 2 is corrected at its source rather than retried.