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Add arsenal: 20 zero-dep Python libs for LLM agent failure modes#320

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darshjme wants to merge 2 commits intotensorchord:mainfrom
darshjme:add-arsenal-darshjme
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Add arsenal: 20 zero-dep Python libs for LLM agent failure modes#320
darshjme wants to merge 2 commits intotensorchord:mainfrom
darshjme:add-arsenal-darshjme

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arsenal (https://github.com/darshjme/arsenal) is a collection of 20 production-focused Python libraries that address the most common LLM agent failure modes.

What it covers:

  • Routing and load balancing
  • Budget management
  • Input/output guardrails
  • Memory compression
  • Observability and tracing
  • Retry/fallback logic
  • Circuit breaking
  • State management
  • Schema validation
  • Pipeline orchestration
  • Semantic caching
  • Config/secrets management
  • Event bus
  • Health checks
  • Rate limiting

Why it belongs here:

  • 808 tests — production-grade, not toy code
  • Zero external dependencies — pure Python stdlib
  • Each library is standalone and composable
  • Directly addresses LLMOps pain points in production agent systems

Added to the LLMOps section.

nicoloboschi pushed a commit to nicoloboschi/Awesome-LLMOps that referenced this pull request Mar 30, 2026
Signed-off-by: kerthcet <kerthcet@gmail.com>
@darshjme darshjme closed this Apr 5, 2026
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