DeepSeekTUI.wiki

RLM parallel workflows

RLM-style tooling helps DeepSeek TUI split large jobs into smaller chunks or parallel subtasks so you get organized outputs instead of one overstuffed prompt.

What this page covers

Terminology shifts between releases, but the user-facing idea stays consistent: give the agent permission to fan out structured subcalls that each tackle part of the workload, then merge summaries. Pair that pattern with inexpensive Flash calls when possible—see pricing.

When RLM-style flows shine

  • Auditing many modules for the same defect pattern.
  • Digesting huge logs or transcripts chunk by chunk.
  • Generating multiple candidate implementations before picking one.
  • Validating cross-cutting refactors across independent files.
Pattern Pros Watch-outs
Single giant prompt Simple to write Harder to debug; may waste tokens
Many small Flash workers + merge Often cheaper; clearer structure Needs a consistent output template
Hybrid (Flash workers + Pro merge) Balances depth and cost Two-stage latency

Prompt templates

Parallel audit

For each path below, analyze independently:
- purpose
- risky logic
- suggested improvement
Return one bullet block per path, then summarize themes.

Chunked log review

Split this log into chunks. For each chunk list errors, warnings,
and suspected root causes. Finish with a merged timeline.

Common pitfalls

  • Parallelizing tasks that are secretly sequential.
  • Chunks so tiny the model loses context.
  • Missing a merge schema— messy syntheses cost extra rounds.

Video

Deep dive on architecture (loads on click).