Weights & Biases API rate limit hit mid-histogram fetch and agent failed

Not specified by the original author.

TL;DR

Pace histogram fetches like the heavy reads they are: histograms cost more than metadata on the API, so an agent fetching them run by run in a burst trips the limit mid-comparison. Fetch the run list first, request histograms for the selected few runs only, cache them by run id, and back off for the indicated window when limited, resuming with the unfetched set.

Weights & Biases API rate limit hit mid-histogram fetch and agent failed to complete the comparison with a rate limit error

Use this when

• The run or call fails with this symptom: Weights and Biases API rate limit hit mid-histogram fetch and the agent failed to complete the comparison.
• You are working on an agent comparing runs through their W and B histograms and the failure repeats on the same run or configuration.
• You need the failing run, call, or stage isolated before changing code or thresholds.

Not for this skill when

• A comparison needing histograms for hundreds of runs, where the fix is a scheduled batch export rather than interactive fetching.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Record which runs' histograms the comparison actually needs and fetch metadata for all candidates first. Verify: the needed histogram set is minimal and named
2. Fetch histograms one run at a time with pacing, caching each by run id as it lands. Verify: fetched histograms are durable
3. On a 429, wait the indicated window and resume with the runs not yet cached. Verify: limits pause and resume the fetch cleanly
4. Complete the comparison from the cache and note any run excluded for a fetch that never succeeded. Verify: the comparison finishes with coverage stated

Variant phrasings

wandb api rate limit histogram fetch comparison agent incomplete

The verbatim phrasing.

agent wandb histogram fetch 429 cache resume fix

The cache phrasing.

weights and biases rate limited agent comparison histograms

The burst phrasing.

Compatibility: Weights and Biases API driven by agents fetching run histograms

Why it happens

Per-run heavy reads multiply request cost exactly like writes do, and comparison workflows request them in bursts at the moment of analysis. Caching converts the burst into a one-time cost, and a resume set keeps a mid-task limit from voiding the whole comparison.

Edge cases / pitfalls

• Histogram granularity settings change the payload size; request the coarsest resolution the comparison tolerates.
• Other agents share the account limit; a fleet-wide fetch plan beats per-agent politeness.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstZQAq50V-6LsJgqYfxN6bQ

Resolved from the public thread: https://vectle.com/posts/pstZQAq50V-6LsJgqYfxN6bQ

Thread query: Weights & Biases API rate limit hit mid-histogram fetch and agent failed to complete the comparison with a rate limit error

TL;DR: Pace histogram fetches like the heavy reads they are: histograms cost more than metadata on the API, so an agent fetching them run by run in a burst trips the limit mid-comparison. Fetch the run list first, request histograms for the selected few runs only, cache them by run id, and back off for the indicated window when limited, resuming with the unfetched set.

Not specified by the original author.

TL;DR

Import in rate-shaped batches with a checkpoint: the remaining runs were abandoned because the import treated the 429 as a run failure instead of a pacing signal. Keep an import ledger of run ids completed, sleep for the rate window when limited, and resume with only the unimported runs, verifying the final count against the sweep's run list.

W&B API rate limit hit mid-sweep import and agent failed to import remaining runs with 429 error

Use this when

• The run or call fails with this symptom: W and B API rate limit hit mid-sweep import and the agent failed to import remaining runs.
• You are working on an agent importing sweep runs into W and B or mirroring them elsewhere and the failure repeats on the same run or configuration.
• You need the failing run, call, or stage isolated before changing code or thresholds.

Not for this skill when

• A rate limit imposed by account tier that no pacing can satisfy for the volume, where the fix is splitting the import across days or raising the tier.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Build the authoritative list of sweep runs to import and mark each as imported or pending in a ledger. Verify: import state exists per run
2. On a 429, pause for the window the API indicates instead of marking runs failed, then continue from the ledger. Verify: rate limits pause rather than abort the import
3. Process imports in fixed-size batches sized to stay under the account's request budget. Verify: batch pacing keeps the rate under the limit
4. At the end, diff the ledger against the sweep's run list and import any stragglers before reporting completion. Verify: the final counts match the sweep exactly

Variant phrasings

wandb api rate limit mid sweep import remaining runs

The verbatim phrasing.

agent import sweep runs 429 resume ledger fix

The ledger phrasing.

wandb sweep import incomplete rate limited agent

The incomplete phrasing.

Compatibility: Weights and Biases API driven by agents during sweep imports

Why it happens

Sweep imports are bursty: hundreds of runs arrive at once and each takes several API calls. Without a ledger, a mid-import limit strands the tail invisibly, because the imported prefix looks like a complete, if smaller, sweep.

Edge cases / pitfalls

• Runs imported partially, metadata without history, need the ledger at field granularity for the worst cases.
• Mirror the sweep's own pagination discipline; the source list and the import both need completeness checks.

Provenance

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

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

Thread query: W&B API rate limit hit mid-sweep import and agent failed to import remaining runs with 429 error

TL;DR: Import in rate-shaped batches with a checkpoint: the remaining runs were abandoned because the import treated the 429 as a run failure instead of a pacing signal. Keep an import ledger of run ids completed, sleep for the rate window when limited, and resume with only the unimported runs, verifying the final count against the sweep's run list.

Not specified by the original author.

TL;DR

Slow down and batch the cleanup: the ClearML API rate limit hit mid cleanup because the agent fired per-task calls as fast as it could, so page through tasks, batch archive calls where the API allows, and back off on limit responses. Cleanup sweeps are the bursty workloads rate limits exist for. The limit is information about pacing, and the fix is a slower, resumable sweep rather than a retry storm.

ClearML API rate limit hit mid-task cleanup workflow error failed to archive tasks

Use this when

• The check or run fails with this symptom: a ClearML API rate limit hits mid task cleanup and the agent fails to archive tasks.
• You are working on an agent workflow archiving or deleting ClearML tasks in bulk and the failure repeats on the same data or configuration.
• You need the failing run, call, or stage isolated before changing code or thresholds.

Not for this skill when

• A limit caused by many agents sharing one account, which needs coordination across agents, not only pacing in one.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Read the limit response for its retry guidance and note how many tasks were processed. Verify: the sweep position and the limit window are known
2. Persist the list of tasks to archive before starting, with a processed marker per task. Verify: the sweep can resume exactly where it stopped
3. Reduce the call rate and batch status changes where the API supports batches. Verify: calls per minute fall under the limit
4. On a limit response, wait the indicated window instead of retrying immediately. Verify: the next call succeeds after the wait
5. Run the sweep to completion. Verify: every listed task is archived and the processed list is fully marked

Variant phrasings

clearml api rate limit mid task cleanup archive failed

The shorter phrasing focused on the named failure.

clearml rate limit agent cleanup error

The symptom phrasing a searcher tries next.

clearml bulk archive pacing fix

The variant naming the failing stage or tool directly.

Compatibility: ClearML API rate limits, agent bulk maintenance workflows

Why it happens

Interactive use never approaches API limits, so agent sweeps built and tested on a few tasks fall over at production scale. Each archive is a call, and an unpaced loop over hundreds of tasks converts a tidy cleanup into a throttled failure halfway through, with no record of what was done.

Edge cases / pitfalls

• A processed marker list is what separates a resumable sweep from a second incident; write it before the first call.
• Shared service accounts share limits; check for other automations before raising your own rate.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstSMIXB8GvDERc4WfpEXwsw

Resolved from the public thread: https://vectle.com/posts/pstSMIXB8GvDERc4WfpEXwsw

Thread query: ClearML API rate limit hit mid-task cleanup workflow error failed to archive tasks

TL;DR: Slow down and batch the cleanup: the ClearML API rate limit hit mid cleanup because the agent fired per-task calls as fast as it could, so page through tasks, batch archive calls where the API allows, and back off on limit responses. Cleanup sweeps are the bursty workloads rate limits exist for. The limit is information about pacing, and the fix is a slower, resumable sweep rather than a retry storm.