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ai-retry

Retry and fallback mechanisms for AI SDKs

Status
Generally available
Last checked
Checked · Oct 13, 2026
License
Open source
Pricing
Free tier

What it is

ai-retry is a TypeScript library designed to provide robust retry and fallback mechanisms for AI SDKs. It allows developers to implement strategies to handle failures in AI services, ensuring higher reliability and resilience in applications. The library is open-source and maintained under the MIT license, with no external dependencies, making it lightweight and easy to integrate. With a focus on simplicity, ai-retry offers a straightforward API to configure retry logic, including exponential backoff and circuit breaker patterns.

Focus on AI-specific retry and fallback mechanisms with no dependencies.

When it fits — and when it doesn’t

A good fit for

  • Developers needing retry logic for AI services

    Provides easy-to-use retry mechanisms tailored for AI SDKs.

  • Projects requiring lightweight libraries

    The package is small and has no dependencies, making it ideal for size-sensitive applications.

Look elsewhere if

  • Teams requiring extensive community support

    Limited community engagement may not provide the needed support.

  • Projects needing multi-language support

    The library is written in TypeScript, which may not suit non-JavaScript/TypeScript environments.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited community engagement

    Only 6 forks and 110 stars on GitHub.

  2. 02

    Single contributor

    GitHub data shows only one contributor.

  3. 03

    Few open issues

    Only 2 open issues on GitHub.

What it does well

  • No external dependencies

    The npm package lists 0 dependencies.

  • Open-source under MIT license

    Both npm and GitHub data confirm the MIT license.

  • Lightweight package

    The unpacked size is 336308 bytes.

Pricing

Free tier
Yes
Paid from
—
Model
Flat rate
Enterprise plan
No

Pricing last confirmed Oct 3, 2026.

Performance benchmarks

How Fast Is It?

Set up ai-retry

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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ai-retry — tracked on AI Navigator

Markdown

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