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Tool use infinite loops and truncated output handling complexity

6/10 Medium

Developers must manually handle tool use infinite loops (where models repeatedly call the same tool) by implementing iteration counts, and catch truncated output by checking `stop_reason == "max_tokens"`. Without proper handling, production deployments fail silently.

Category
testing
Workaround
partial
Stage
debug
Freshness
persistent
Scope
single_lib
Upstream
open
Recurring
Yes
Buyer Type
team
Maintainer
active

Sources

Collection History

Query: “What are the most common pain points with Anthropic API for developers in 2025?3/30/2026

Common failures include... tool use infinite loop where the model repeatedly calls the same tool (fix with a max iteration count)... and truncated output from `max_tokens` set too low... The SDK includes built-in retry logic with configurable `max_retries`, and you should always check `stop_reason` to detect truncated responses.

Created: 3/30/2026Updated: 3/30/2026