Batching Subagents Concurrency

Overview

When processing long-form tasks (e.g., analyzing 20+ transcript chunks across an 8-hour livestream), spawning all subagents simultaneously exhausts model API rate limits (429 RESOURCE_EXHAUSTED). Batching subagents into controlled groups of maximum 6 per invocation turn guarantees continuous execution without rate limits or fallback hallucinations.

When to Use

• Launching 6 or more parallel subagents for chunk analysis, web scraping, or file processing.
• Experiencing RESOURCE_EXHAUSTED (429) rate limit errors during subagent invocation.
• Processing long livestreams or large multi-file repositories using anibon-chunk-timestamper.

When NOT to use:

• Running 1–5 independent subagents (can be launched directly in a single turn).

Core Recipe (Batching Pattern)