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attio-rate-limits

Analyze Attio integrations that hit request limits and design separate read and write budgets, controlled queues, and bounded retries. Produce a request control policy with load test evidence and clear rollback thresholds.

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Analyze and design an Attio request governor with separate read and write budgets, query-score awareness, bounded retries, and observable backpressure. Use when an Attio integration receives 429 responses or needs safe concurrency controls. Trigger with "Attio rate limits", "Attio 429", or "throttle Attio requests".

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适用场景

  • Investigating bursts of Attio 429 errors
  • Separating read and write request budgets
  • Reviewing retry rules and queue delays
  • Testing concurrency before rollout

包含的文件(2)

  • SKILL.md3.8 KB
  • references/official-docs.md2.1 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Attio Rate-Limit Governor

Overview

This skill turns Attio's current published limits into a conservative client policy without treating the documented ceilings as reserved capacity.

Prerequisites

  • Request metrics split by workspace, method, and endpoint
  • Queue depth, retry count, and 429 response samples
  • The endpoint-specific pagination and query contract
  • An agreed maximum retry age and failure budget

Tool Discipline

Use Read, Glob, and Grep to inspect concurrency, queues, retries, and pagination. Use WebFetch only to recheck current official Attio limits and response semantics. Use Write or Edit after the governor policy and rollback threshold are explicit.

Current Contract

  • Attio currently publishes global ceilings of 100 read requests per second and 25 write requests per second.
  • Record and entry query endpoints also use a score budget over a 10-second window; complex filters and sorts consume more score.
  • A 429 response can include Retry-After as an HTTP date, so do not assume an integer delay.
  • Limits can change and are shared with other workspace traffic; reverify the official guide before rollout.

Authentication

Keep the existing least-privilege Bearer token and partition governor state by workspace credential. Never expose tokens in rate-limit telemetry.

Instructions

  1. Inventory calls by read, write, workspace, endpoint, and query shape.
  2. Reverify the official limits and endpoint-specific query scoring.
  3. Implement separate conservative read and write token buckets below the published ceilings.
  4. Add per-workspace queues, bounded concurrency, jitter, and backpressure.
  5. On 429, parse Retry-After as an HTTP date when present; otherwise use capped exponential backoff.
  6. Retry only idempotent or explicitly idempotency-protected work and only for 429 or eligible transient 5xx responses.
  7. Load-test below production limits and record throughput, tail latency, queue age, and retry amplification.

Approval Boundaries

Do not increase concurrency, replay non-idempotent writes, or drop queued work without the service owner's approval and a rollback plan.

Output

Return verified limits, queue partitions, bucket settings, retry eligibility, maximum retry age, load-test evidence, and rollback thresholds.

Error Handling

ConditionResponse
Retry-After is malformedUse capped jittered backoff and preserve the response evidence.
Low request count still gets 429Inspect query score and other traffic sharing the workspace.
Queue age exceeds its objectiveShed optional work or pause producers; do not burst harder.
Write result is ambiguousReconcile state before any retry.

Examples

Input:

workload=record queries plus writes; symptom=429 bursts; scope=one workspace

Expected handoff:

governor=split read/write; retry=http-date aware; load-test=pass; rollback=defined

Resources

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