> ## Documentation Index
> Fetch the complete documentation index at: https://docs.bindai.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# 08.7 workflow timeout

# Workflow Timeout Template

The **Workflow Timeout** template demonstrates how a workflow can automatically stop execution when an operation exceeds a predefined time limit.

Timeouts protect workflows from hanging indefinitely due to slow services, stalled processes, or unexpected execution delays.

This template introduces execution time limits into workflow orchestration.

***

# Purpose

This template demonstrates how to:

* configure workflow timeouts
* detect excessively long execution
* stop stalled workflows
* improve workflow stability
* protect system resources

It adds execution safety to workflow processing.

***

# Workflow Structure

A timeout-enabled workflow follows the same execution path as a normal workflow.

```text id="wt1" theme={null}
Start

↓

Operation

↓

End
```

The difference is that execution is monitored continuously.

***

# Execution Flow

While the workflow runs, elapsed time is measured.

```text id="wt2" theme={null}
Start

↓

Execute

↓

Monitor Time

↓

Complete
```

If execution finishes before the timeout, the workflow completes normally.

***

# Timeout Trigger

If execution exceeds the configured limit:

```text id="wt3" theme={null}
Execute

↓

Time Limit

↓

Timeout
```

The timeout policy determines what happens next.

***

# Timeout Policy

Timeout behavior is configured with a timeout policy.

Example:

```python id="wt4" theme={null}
TimeoutPolicy(
    seconds=30,
    fail_workflow=True,
)
```

The timeout specifies the maximum execution duration.

***

# Successful Execution

Normal execution completes before the timeout.

```text id="wt5" theme={null}
Start

↓

Execute

↓

Complete

↓

Success
```

The timeout policy is never triggered.

***

# Timeout Occurs

If execution takes too long:

```text id="wt6" theme={null}
Start

↓

Execute

↓

Timeout

↓

Workflow Stops
```

The workflow is marked as timed out.

***

# Long-Running Operations

Timeouts are especially useful when interacting with external systems.

Examples include:

* AI model inference
* external APIs
* document processing
* network communication
* database queries
* cloud services

These operations may occasionally take much longer than expected.

***

# Timeout vs Retry

Timeouts and retries work together but solve different problems.

| Timeout               | Retry                            |
| --------------------- | -------------------------------- |
| Limits execution time | Repeats failed operations        |
| Stops hanging tasks   | Recovers from temporary failures |
| Protects resources    | Improves reliability             |
| Based on elapsed time | Based on execution failure       |

A workflow may timeout before a retry is attempted.

***

# Timeout vs Loop

Loops intentionally repeat workflow logic.

Timeouts prevent loops from running forever.

```text id="wt7" theme={null}
Loop

↓

Timeout

↓

Exit
```

Timeouts provide an additional safety mechanism even when loop predicates are incorrect.

***

# Scheduled Workflows

Timeouts are particularly important for scheduled workflows.

```text id="wt8" theme={null}
Scheduler

↓

Workflow

↓

Timeout

↓

Next Schedule
```

A timeout prevents one execution from blocking future scheduled runs.

***

# Monitoring

Timeout events should be monitored in production.

Useful information includes:

* workflow identifier
* execution duration
* timeout threshold
* node executing
* provider involved
* retry count

These metrics help identify performance bottlenecks.

***

# Choosing a Timeout

Timeout values should reflect the expected workload.

Examples:

| Operation             |       Typical Timeout |
| --------------------- | --------------------: |
| Simple API request    |          5–15 seconds |
| AI inference          |        30–120 seconds |
| Document processing   |       Several minutes |
| Large batch workflows | Longer as appropriate |

Choose values that balance responsiveness with realistic execution time.

***

# Best Practices

* Set realistic timeout limits.
* Use shorter limits for external services.
* Combine timeouts with retry policies.
* Monitor frequent timeout events.
* Avoid excessively long timeout values.
* Design workflows so interrupted operations can be safely restarted when appropriate.

***

# Related Templates

The Timeout template works well alongside:

* Workflow Retry
* Workflow Schedule
* Workflow Parallel

These patterns together improve workflow reliability and operational safety.

***

# Summary

The **Workflow Timeout** template demonstrates how BindAI workflows prevent stalled or excessively long-running execution.

By enforcing maximum execution times, timeout policies improve system stability, protect shared resources, and ensure workflows fail predictably when operations exceed acceptable execution limits.