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NO.
#27a35ef9
Topic
AGENTS & TOOLS
Source
Hacker News · Show HN AI
Published
2026-05-19 12:23:07
Importance
★ 7/10 — radar 70
`Forge` adds reproducible guardrails for local LLM agents
FIG-0271:1

`Forge` adds reproducible guardrails for local LLM agents

Local tool-calling reliability is framed as a system problem, not a model-size problem. If the evals hold, always-on agents get much cheaper.

[ KEY POINTS ]
  1. Ministral 8B reached 99.3% with guardrails; Claude Sonnet with the same layer hit 100%.
  2. Without retry handling, error recovery scored 0% across local and frontier models. The missing piece is architecture.
  3. Ablations put most lift on retry nudges and error recovery; context compaction helped less in the benchmark.
  4. Serving backend changed Mistral-Nemo 12B from 7% to 83% accuracy, so deployment stack is part of model quality.
Originalgithub.com/antoinezambelli/forgeRead original →

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