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Retry on Fail Except for Known Error Template

This workflow implements an intelligent automatic retry mechanism that effectively manages exceptions in automated tasks. It differentiates between "known errors" and other errors; for unknown errors, it will automatically retry until the maximum number of attempts is reached, while known errors are directly marked and skipped for retry. This design enhances the stability of the process and the efficiency of resource utilization, making it particularly suitable for scenarios such as API calls and data synchronization, ensuring a quick recovery in the event of temporary failures.

Workflow Diagram
Retry on Fail Except for Known Error Template Workflow diagram

Workflow Name

Retry on Fail Except for Known Error Template

Key Features and Highlights

This workflow implements an automatic retry mechanism that intelligently distinguishes between "known errors" and other errors. For unknown errors, the workflow automatically waits for a specified interval before retrying, up to a maximum retry count. For specific known errors (e.g., "could not be found"), it skips retries, marks the error as known, and proceeds without retrying. This approach improves efficiency and avoids unnecessary retry attempts.

Core Problems Addressed

In automated processes, operations such as network requests or data retrieval often fail due to transient issues, causing process interruptions or exceptions. This workflow ensures automatic recovery from temporary failures by configuring retry counts and wait times. Meanwhile, it reduces resource waste and false alarms by identifying specific error types and avoiding futile retries.

Application Scenarios

  • Automated workflows involving API calls or data fetching that may encounter intermittent failures
  • System integrations requiring differentiation between business-related "known errors" and transient errors
  • Processes needing automatic retries on failures to ensure stability and high availability
  • Suitable for data synchronization, automated monitoring, task execution, and similar scenarios

Main Process Steps

  1. Manual Trigger to start the workflow
  2. Initialize retry counter (Set tries)
  3. Execute the core node (Replace Me — to be replaced with the actual data retrieval or operation node, with error output enabled)
  4. On success, proceed to the “Success” node for subsequent logic
  5. On failure, determine if the error is a known error (Catch known error)
    • If a known error, proceed to the “Known Error” node and stop retrying
    • If not a known error, wait for a fixed interval (Wait node, default 5 seconds) and increment retry count
  6. Check if retry count exceeds the maximum (default 3 retries)
    • If not exceeded, retry from the beginning
    • If exceeded, stop execution and raise an error (Retry limit reached)

Involved Systems or Services

This template serves as a generic retry mechanism example and does not directly integrate with specific external services. Please replace the “Replace Me” node with concrete invocation nodes (e.g., HTTP requests, database queries, third-party APIs) according to your actual use case to fit different business requirements.

Target Users and Value

  • Automation developers and operations engineers who need stable management of API calls and data extraction tasks
  • Enterprises and teams aiming to enhance failure resilience of automated tasks
  • Technical personnel seeking to optimize retry strategies by differentiating error types
  • Users looking for a simple, customizable retry template to reduce system failure rates

This workflow leverages flexible error recognition and retry design to help users efficiently manage exceptions in automated tasks, improving overall process stability and fault tolerance. By simply replacing the core operation node, it can be rapidly adapted to various business scenarios.