Cairn

Proposals to compress LLM tool output tokens

NousResearch/hermes-agent · cluster 1136 · agent

Data as of

2 open items. No fix on record.

The short answer

2open issues
0open PRs
4items grouped
Known?
Yes. 4 related items grouped here, 2 issues already closed.
Fix event
No merged or attempted fix PR is on record for this cluster.
Tracker
The maintainers' tracker marks this unresolved. That is separate from the fix event.
Still open
2 issues and 0 PRs. Broad area: open items may be separate problems.

These members propose adding a configurable compression layer for tool results and LLM inputs to reduce token usage and associated costs. They include an RFC, feature requests, and a specific integration suggestion, but no confirmed implementation exists.

Open issues2

  • Issue#39691feat(compression): integrate headroom-ai for tool output compression
  • Issue#40269[Feature]: I vibed a hermes-headroom wrapper that saved me 70%, someone should integrate something like it ASAP.

Open PRs0

No open pull requests.

Closed issues · 2
  • Closed#1136[Feature]: Add support for LLM input compression to save 40-60% on LLM costs
  • Closed#31400RFC: Pluggable type-aware output-compressor pipeline for tool results
How this cluster was grouped
  • Link evidence (automated judgement only): no structural link between members; the grouping rests entirely on an automated relevance judgement over their text.
  • Read the members yourself before treating them as one problem.
  • Pairwise link density 0.18: the share of item pairs that carry a link, counting a structural link in full and a relevance-only link at 0.36. 1.00 means every pair is linked.

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Subsystem
agent
Closed issues
2
Attempts
0 PRs closed without merging

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The same facts, typed.

cluster/1136.json
cluster/1136.md