Bounded Retry
A retry strategy that sets a maximum number of retry attempts and uses an exponential backoff algorithm, such as 1s, 2s, 4s, 8s, to control retry intervals. Once the limit is reached, it gives up and returns a definite result. It suits interactive scenarios by ensuring requests do not hang indefinitely.
Timeline (last 90 days)
TinyFish's production-grade agentic search architecture is divided into 7 stages, with the core mechanisms being evidence contracts and bounded retries.
Bounded retries set an upper limit on the number of recovery attempts for retrieval failures, preventing the agent from looping endlessly on invalid paths.
Bounded retry is a common reliability pattern in distributed systems and agent engineering, setting an explicit limit on the number of recovery attempts or a budget for operations that may fail, and once the threshold is reached, switching to a degraded path or terminating directly.
In agentic search, bounded retries need to be combined with error classification: transient errors (timeouts, rate limiting) are worth retrying, whereas semantic failures (queries with no results, irrelevant pages) often do not benefit from retries and require switching to query rewriting or a different data source.
In circuit breaker design, exponential backoff addresses not crushing the provider yourself, while bounded retries address not letting one user action turn into thousands of billed calls, and both must exist simultaneously.
The bounded retry strategy uses exponential backoff within a bounded number of attempts (such as 1 second, 2 seconds, 4 seconds, 8 seconds...), ensuring the request eventually returns a definite result rather than hanging indefinitely; the infinite wait mode sets no cap on the number of attempts, trading uncertainty for a higher eventual success rate.
All Facts (6)
TinyFish's production-grade agentic search architecture is divided into 7 stages, with the core mechanisms being evidence contracts and bounded retries.
50%UnverifiedBounded retries set an upper limit on the number of recovery attempts for retrieval failures, preventing the agent from looping endlessly on invalid paths.
50%UnverifiedBounded retry is a common reliability pattern in distributed systems and agent engineering, setting an explicit limit on the number of recovery attempts or a budget for operations that may fail, and once the threshold is reached, switching to a degraded path or terminating directly.
50%UnverifiedIn agentic search, bounded retries need to be combined with error classification: transient errors (timeouts, rate limiting) are worth retrying, whereas semantic failures (queries with no results, irrelevant pages) often do not benefit from retries and require switching to query rewriting or a different data source.
50%UnverifiedIn circuit breaker design, exponential backoff addresses not crushing the provider yourself, while bounded retries address not letting one user action turn into thousands of billed calls, and both must exist simultaneously.
50%UnverifiedThe bounded retry strategy uses exponential backoff within a bounded number of attempts (such as 1 second, 2 seconds, 4 seconds, 8 seconds...), ensuring the request eventually returns a definite result rather than hanging indefinitely; the infinite wait mode sets no cap on the number of attempts, trading uncertainty for a higher eventual success rate.
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