“retries”的搜索结果

用于设计和检查TypeScript、Python、Go应用的错误处理，整理错误分类、重试、API错误响应和用户提示，并区分用户说明与开发诊断日志。

• 为新服务设计错误分类
• 重试外部服务的临时故障
• 检查API错误响应与日志

Add retries and timeouts to Python service calls, with increasing and randomized waits between attempts. Use examples to distinguish temporary failures from permanent errors, limit retry duration, and record retries in logs.

中文简介正在准备中。当前显示英语简介。

• Adding retries to external API calls
• Setting timeouts for network operations
• Handling rate limits and temporary service failures

Building resilient distributed systems with circuit breakers, retries with full-jitter exponential backoff, retry budgets (per-request 3-attempt + per-client 10% ratio per Google SRE), deadline propagation, and the cascading-failure math (4 layers × 3 retries = 64x amplification). Grounded in Resilience4j, Microsoft Cloud Patterns, AWS Architecture Blog (Marc Brooker), and Google SRE Book.

中文简介正在准备中。当前显示原文说明。

Building resilient distributed systems with circuit breakers, retries with full-jitter exponential backoff, retry budgets (per-request 3-attempt + per-client 10% ratio per Google SRE), deadline propagation, and the cascading-failure math (4 layers × 3 retries = 64x amplification). Grounded in Resilience4j, Microsoft Cloud Patterns, AWS Architecture Blog (Marc Brooker), and Google SRE Book. NOT for server-side rate limiting, bulkhead isolation, backpressure protocols, or database-specific retry.

中文简介正在准备中。当前显示原文说明。

帮助在Django中用Celery将邮件发送、PDF生成等工作转为后台任务，并设计定期运行、失败重试、任务串联、并行执行、监控与测试。

• 在后台发送邮件和生成PDF
• 定期更新库存和发送通知
• 设计重试并防止重复更新

设计和调整AI智能体使用的工具、输入与返回格式，明确出错后的恢复、重试和停止条件，管理上下文信息量，并以完成率、重试次数和成功任务成本评估改进。

• 设计智能体工具及输入格式
• 明确工具结果与下一步行动
• 制定安全重试与停止条件

Register and manage webhook endpoints, which receive event notifications from OmniRoute. Choose events such as completed requests or exceeded quotas, test delivery, inspect delivery history, and manage retries when notifications need another attempt.

中文简介正在准备中。当前显示英语简介。

• Set up notifications for completed or failed requests
• Configure quota exceeded notifications
• Validate and test notification destinations

Trace queued jobs from submission to their eventual effects in a CTF sandbox. Compare request-time and worker-time settings, follow retries and failed-message handling, and document the smallest sequence that explains a worker-specific result.

中文简介正在准备中。当前显示英语简介。

• Trace a queued payload to its eventual downstream effect
• Compare request-time settings with worker runtime state
• Investigate retries and dead-letter queue handling

Implement Zoom webhooks, HTTP notifications sent when events occur, such as meetings starting or recordings becoming available. Use reference guidance for event selection, subscriptions, signature verification, endpoint validation, delivery handling, and retries.

中文简介正在准备中。当前显示英语简介。

• Receiving notifications when cloud recordings are ready
• Choosing meeting and participant events to subscribe to
• Implementing webhook signature verification

Review the scope and process of Apache Pinot changes, including pull request descriptions, reverts, retries, and compatibility notes. Use it to examine large changes, test workarounds, and documentation needed for changes that break backward compatibility.

中文简介正在准备中。当前显示英语简介。

• Reviewing large changes across multiple modules
• Reviewing Revert or Hotfix pull requests
• Checking retries and sleeps added to tests

设计或检查AI智能体的反复作业，明确机器可判定的完成条件、不可更改的边界、独立验证和重试上限，防止空转、失控或错误完成。

• 定义反复作业的完成条件
• 检查空转和验证漏洞
• 划分规划、实现与验证职责

追踪ECC Tools的GitHub App代码，调查PR过度创建、使用上限失效及意外调用高价模型的问题，查明费用增长原因并验证针对性修复。

• 调查PR过度创建的原因
• 检查并发处理超出使用上限
• 检查免费用户调用高价模型

提供LLM API费用管理的设计示例，将按任务复杂度选择模型、记录预算、重试临时错误和缓存共用提示词结合起来，用于检查累计费用与调整调用方式。

• 检查LLM应用的API费用
• 按批处理难度选择模型
• 对照预算检查累计费用

为主要由AI智能体实施的开发工作制定完成条件，拆分可独立验证的任务，并比较实施前后的评估结果；同时按难度选择模型，记录费用、耗时与重试情况。

• 规划交给AI智能体的开发工作
• 将大型变更拆成可验证的任务
• 比较实施前后的评估结果

Plan and implement migrations for data, APIs, configuration, and dependencies while preserving existing data and compatibility. Define rollback steps, check old and new behavior, and handle retries and partial failures during staged transitions.

中文简介正在准备中。当前显示英语简介。

• Migrate data while preserving existing records
• Roll out changes while old and new versions coexist
• Prepare rollback steps before a migration

Diagnose failed, timed-out, or incomplete terminal commands using command output and environment checks. The skill guides targeted retries, avoids duplicate long-running jobs, and verifies that the intended files, processes, or service state were produced.

中文简介正在准备中。当前显示英语简介。

• Diagnose a command failure from its error output
• Investigate missing dependencies or incorrect paths
• Check a long-running command after a timeout

Design subscription retention workflows for customers who choose to cancel and those whose payments fail. The skill covers cancellation surveys, relevant offers, pauses, payment retries, reminder emails, usage-based warning signals, and metrics for evaluating retention efforts.

中文简介正在准备中。当前显示英语简介。

• Designing a cancellation flow with a reason survey
• Matching pause or plan-change offers to cancellation reasons
• Planning payment retries and reminder emails

Design, build, debug, and optimize connections to external APIs. The skill covers REST, GraphQL, event notifications through webhooks, authentication, retries, request limits, and logging to help produce integrations whose failures can be traced.

中文简介正在准备中。当前显示英语简介。

• Designing a new external API integration
• Building an API client with retries and authentication
• Investigating failed requests or missing results

Generate client libraries for REST APIs, with authentication, retries, typed request and response models, error classes, and pagination helpers. Language-specific patterns and usage examples show how applications can call API resources.

中文简介正在准备中。当前显示英语简介。

• Create a Python client for a REST API
• Generate TypeScript request and response types
• Standardize retries and API error handling

Design scheduled AI workflows for document ingestion, batch processing, and model training using Prefect, Airflow, or Dagster. Compare orchestration tools and plan task dependencies, retries, caching, and monitoring through implementation fragments.

中文简介正在准备中。当前显示英语简介。

• Schedule document ingestion and RAG index refreshes
• Design batch workflows for LLM requests
• Connect model training with quality evaluation

Turns supplied AI agent evaluation results into reports that distinguish autonomous success, human-assisted success, failure, timeout, and invalid runs. Makes metric denominators, retries, timing, costs, and comparison conditions explicit to support evidence-based decisions.

中文简介正在准备中。当前显示英语简介。

• Separating autonomous and human-assisted success rates
• Reporting evaluations with retries and invalid runs
• Comparing agents or releases under matched conditions

Design application and API behavior when operations fail. Choose between exceptions and Result types, which explicitly represent success or failure, and improve retries, error messages, logging, and resource cleanup so failures are easier to handle and investigate.

中文简介正在准备中。当前显示英语简介。

• Add error handling to a new feature
• Design API behavior for failures
• Improve error messages and logs for production debugging

Configure how traffic moves between services in Istio, a system for managing service communication. Includes routing, load balancing, gradual releases, retries, failure isolation, copied traffic for testing, and commands for inspecting configuration.

中文简介正在准备中。当前显示英语简介。

• Send a small share of traffic to a new service version
• Configure retries, timeouts, and failure isolation
• Copy traffic to a test environment

Design long-running processes across services with Temporal, a system that preserves workflow progress. Covers separating coordination from external operations, handling retries and failures, and structuring workflows so they can resume after interruptions.

中文简介正在准备中。当前显示英语简介。

• Designing order or booking processes across services
• Building approval flows with timeouts and escalation
• Planning recovery for distributed transactions