Workflow Retry Template

The Workflow Retry template demonstrates how a workflow automatically retries failed operations before reporting an error. Rather than failing immediately because of a temporary issue, the workflow follows a retry policy and attempts the operation again. This template is useful for building resilient workflows that interact with external systems.

Purpose

This template demonstrates how to:

configure retry behavior
recover from temporary failures
repeat failed operations automatically
improve workflow reliability
continue execution after a successful retry

It introduces fault tolerance into workflow execution.

Workflow Structure

A retry-enabled workflow typically follows this pattern.

Start

↓

Operation

↓

Success?

↙        ↘

Yes      No

↓         ↓

End    Retry Policy

If the operation succeeds, the workflow continues normally.

Execution Flow

The workflow performs the operation.

Execute

↓

Failure

↓

Retry

↓

Execute Again

This continues until either:

the operation succeeds, or
the retry limit is reached.

Retry Lifecycle

A complete retry sequence may look like this.

Attempt 1

↓

Failure

↓

Attempt 2

↓

Failure

↓

Attempt 3

↓

Success

The workflow resumes immediately after a successful attempt.

Retry Policy

Retry behavior is controlled by a retry policy. Typical settings include:

maximum attempts
delay between attempts
exponential backoff

Example:

RetryPolicy(
    max_attempts=3,
    delay_seconds=5,
    exponential_backoff=True,
)

Successful Recovery

Temporary failures are often resolved automatically.

Failure

↓

Retry

↓

Success

↓

Continue Workflow

The remaining workflow executes normally.

Retry Limit

Retries do not continue indefinitely.

Attempt 1

↓

Attempt 2

↓

Attempt 3

↓

Failure

Once the maximum number of attempts is reached, the workflow reports an error.

Delay Between Attempts

Most retry policies wait before retrying.

Failure

↓

Wait

↓

Retry

A delay gives external systems time to recover.

Exponential Backoff

The waiting period may increase after each failure.

Attempt 1

↓

5 seconds

↓

Attempt 2

↓

10 seconds

↓

Attempt 3

Exponential backoff reduces unnecessary load on external services.

Typical Use Cases

Retry policies are valuable for operations involving:

AI model providers
external APIs
database connections
document retrieval
cloud storage
network communication
authentication services

These systems occasionally experience temporary interruptions.

Retry vs Loop

Retries and loops both repeat execution but have different purposes.

Retry	Loop
Handles failures	Repeats workflow logic
Automatic	Controlled by workflow predicates
Stops after success or limit	Stops when condition becomes false
Reliability feature	Business logic feature

Retries recover from errors. Loops implement intentional iteration.

Retry vs Timeout

Retries and timeouts are complementary.

Retry	Timeout
Handles failed execution	Limits execution duration
Executes again	Stops long-running tasks
Focuses on reliability	Focuses on stability

Production workflows often combine both.

The Retry template works well alongside:

Workflow Timeout
Workflow Parallel
Workflow Schedule

These templates together improve workflow robustness in production environments.

Best Practices

Retry only transient failures.
Limit the maximum number of attempts.
Use exponential backoff for external services.
Avoid retrying invalid requests.
Log retry attempts for troubleshooting.
Combine retries with timeout policies.

Summary

The Workflow Retry template demonstrates how BindAI workflows automatically recover from temporary failures. By applying retry policies, workflows become significantly more reliable when interacting with external systems, AI providers, and network services while avoiding unnecessary failures caused by short-lived interruptions.

Getting Started

Core

Tools

Memory

Knowledge

Workflows

Projects

Templates

API Reference

08.6 workflow retry

Workflow Retry Template

Purpose

Workflow Structure

Execution Flow

Retry Lifecycle

Retry Policy

Successful Recovery

Retry Limit

Delay Between Attempts

Exponential Backoff

Typical Use Cases

Retry vs Loop

Retry vs Timeout

Best Practices

Summary

​Workflow Retry Template

​Purpose

​Workflow Structure

​Execution Flow

​Retry Lifecycle

​Retry Policy

​Successful Recovery

​Retry Limit

​Delay Between Attempts

​Exponential Backoff

​Typical Use Cases

​Retry vs Loop

​Retry vs Timeout

​Related Templates

​Best Practices

​Summary

Workflow Retry Template

Purpose

Workflow Structure

Execution Flow

Retry Lifecycle

Retry Policy

Successful Recovery

Retry Limit

Delay Between Attempts

Exponential Backoff

Typical Use Cases

Retry vs Loop

Retry vs Timeout

Related Templates

Best Practices

Summary