Agent Swarm cuts token costs 99% using scripts
Agent Swarm measured production performance of Code Mode, running sandboxed scripts instead of sequential tool calls on their workflow-triage process. The single-script approach reduced context payloads from ~815,000 to ~6,450 tokens and cut per-run Claude Sonnet 5 costs from ~$2.44 to ~$0.02 in 13.12 seconds.
Shifting multi-tool workflows into sandboxed code execution is becoming essential for scalable, cost-effective AI agent architectures.
- –Executing scripts inside a sandbox keeps bulk JSON data out of LLM context, returning only the final summarized output.
- –Replacing 26 sequential tool calls with a single script execution achieved a 99.2% reduction in input tokens and reduced execution costs from $2.44 to $0.02.
- –Production agent frameworks will increasingly require rubrics that enforce script execution for fan-out tasks and bulk API operations.
DISCOVERED
3h ago
2026-07-23
PUBLISHED
5h ago
2026-07-23
RELEVANCE
AUTHOR
tarasyarema