AI Infrastructure · PyPI

dual-llm-bench

Benchmark prompt-injection resilience and tool safety for dual-LLM agent architectures.

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Details

Author
Rudraksh Karpe
GitHub profile
@rudrakshkarpe
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/rudrakshkarpe/dual-llm-bench
Framework
unknown
Language
python
Stars
0
First indexed
2026-05-15
Last active
—
Directory sync
2026-05-15
@rudrakshkarpe

Overview

Benchmark prompt-injection resilience and tool safety for dual-LLM agent architectures.

Quick start

pip

pip install dual-llm-bench

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What dual-llm-bench can do

agentllmaiai-agentsllm-security
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Llm — llm task automation.
  • Ai — ai task automation.
  • Ai Agents — ai-agents task automation.
  • Llm Security — llm-security task automation.

Frequently asked questions

What is dual-llm-bench?
Benchmark prompt-injection resilience and tool safety for dual-LLM agent architectures.
How do I install dual-llm-bench?
Use pip: `pip install dual-llm-bench`. Full setup details on the source page linked above.
Is dual-llm-bench open source?
dual-llm-bench is published on PyPI.
What are alternatives to dual-llm-bench?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for dual-llm-bench is sourced from PyPI, published by Rudraksh Karpe.

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