# How to Deal With Errors and Failures in LLM-Powered Applications

DevFeed: [How to Deal With Errors and Failures in LLM-Powered Applications](<https://devfeed.tech/articles/how-to-deal-with-errors-and-failures-in-llm-powered-applications-17991.md>)

Original publisher: [Read original article](<https://blog.bytebytego.com/p/how-to-deal-with-errors-and-failures>)

Author: ByteByteGo

Published: 2026-09-07T15:31:35Z

Content type: tutorial

Language: en

Sources: [ByteByteGo](<https://devfeed.tech/sources/bytebytego.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [App](<https://devfeed.tech/topics/app.md>), [Language models](<https://devfeed.tech/topics/language-models.md>)

Tags: [applications](<https://devfeed.tech/tags/applications.md>), [concurrency-control](<https://devfeed.tech/tags/concurrency-control.md>), [errors](<https://devfeed.tech/tags/errors.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [llm](<https://devfeed.tech/tags/llm.md>), [rate-limiting](<https://devfeed.tech/tags/rate-limiting.md>), [resiliency](<https://devfeed.tech/tags/resiliency.md>), [retry](<https://devfeed.tech/tags/retry.md>)

## AI overview

A tutorial on error handling and resiliency for LLM-powered applications. It covers failures such as unavailable networks, rejected requests, invalid JSON, hallucinations, slow responses, timeouts, retries, fallbacks, circuit breakers, rate limiting, queues, concurrency control, safe tool calls, and response streaming.

## Source excerpt

Apart from normal processing, the application also sends data to a large language model (LLM). It then uses the model's response to carry out a task.