Paste one AI API error, get the next fix

causely ranks likely OpenAI and Anthropic causes, cites the vendor docs, and returns a safe Python or TypeScript patch to try.

Try the free log auditor →See corpus score

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Error log

sample input

OpenAI RateLimitError: 429 rate_limit_exceeded
endpoint=responses.create request_id=req_oa_rate
retry_after_ms=900 burst=41 requests in 9s

Analyze

Ranked causes

docs + patch

#1OpenAI rate limit window exceeded429, RateLimitError, and retry-after signals point to burst traffic.96%

#2Quota or billing cap reachedPossible when 429 includes quota or billing copy.66%

OpenAI provider hint429 statusrate limit errorretry header

Next step: Reduce burst concurrency, then retry with capped exponential backoff and jitter.

async function withOpenAIBackoff<T>(call: () => Promise<T>): Promise<T> {
  let delayMs = 500;
  for (let attempt = 0; attempt < 5; attempt += 1) {
    try {
      return await call();
    } catch (error: any) {
      if (error?.status !== 429 && error?.name !== "RateLimitError") throw error;
      await new Promise((resolve) => setTimeout(resolve, delayMs + Math.random() * delayMs));
      delayMs = Math.min(delayMs * 2, 8000);
    }
  }
  throw new Error("OpenAI rate limit persisted after capped retries");
}

Incidents need a next action.

Logs show symptoms; causely ranks the safer move.

429 rate limit

rate_limit_exceeded/Throttle before inspecting quota.

Model mismatch

model_not_found/Separate version drift from bad payloads.

529 overload

overloaded_error/Treat provider pressure differently from local bugs.

Ranked hypotheses, not oracles

One ranked fix, with the clue attached.

Probability, evidence, and patch stay in one view.

TypeScript patchreq_8b2c9a

#1 likely cause

Acceleration window exceeded

Confirm account health, then cap concurrency and add jitter.

Trace clues

Model switch preceded the burst
38 requests landed in 7 seconds
Retry loop has no jitter

Hypothesis only. Engineer approves the patch.

const delay = backoff({
  attempt,
  min: 500,
  factor: 2,
  jitter: true,
});

await sleep(delay);

Narrow on purpose

Narrow scope earns trust.

Only trace-backed failures enter the ranking.

Supported first

429s, 529s, quota, request shape, model/version, timeouts, 500s

Not promised

guaranteed root cause, observability, one-click repair

Corpus validation

The prototype records every top suggestion.

Each labeled log is replayed through the same ranker used by the paste flow.

Useful means the expected cause ranked firstMissed means the next corpus edit targets the ruleNo fallback means unmatched logs produce no audit

9/9

top-1 useful

ranked first on the labeled corpus

failure classes

rate, quota, shape, model, timeout, 500, 529

providers

OpenAI and Anthropic covered

100%

usefulness rate

case-by-case expected cause match

CaseTop suggestionResult

oa-429-burst

openai

OpenAI rate limit window exceeded

Expected: OpenAI rate limit window exceeded

Useful

oa-quota-billing

openai

OpenAI quota or billing cap reached

Expected: OpenAI quota or billing cap reached

Useful

oa-invalid-param

openai

OpenAI request shape is invalid

Expected: OpenAI request shape is invalid

Useful

oa-model-missing

openai

OpenAI model name or endpoint mismatch

Expected: OpenAI model name or endpoint mismatch

Useful

oa-timeout

openai

OpenAI request timed out before completion

Expected: OpenAI request timed out before completion

Useful

oa-500-provider

openai

OpenAI 500-class provider error

Expected: OpenAI 500-class provider error

Useful

anthropic-529-overload

anthropic

Anthropic API overloaded

Expected: Anthropic API overloaded

Useful

anthropic-accel-429

anthropic

Anthropic rate or acceleration limit hit

Expected: Anthropic rate or acceleration limit hit

Useful

anthropic-prefill-400

anthropic

Anthropic request body is invalid

Expected: Anthropic request body is invalid

Useful

Founding pilot

Bring incidents, label usefulness.

Access stays invite-only until real teams prove the ranking helps.

01real OpenAI/Anthropic traces
02weekly incident review
03pilot terms with first teams

Specific about what it does not do.

The beta stays narrow enough to trust.

No. It returns ranked hypotheses; engineers own incidents.

Bring one failing AI API trace.

Join if your team can label whether the top suggestion helped.