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  The Arch Family.
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  The Arch family of LLMs are designed to fast and efficient LLMs for common scenarios in agentic application worloads - helping developers stay focused on higher level objectives
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- of their agents. These scenario include fast agent routing and hand-off, tools calls for common agentic scenarios to improve speed, guadrails and input/output validation of prompts.
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- The Arch family of LLMs also serve as the core intelligence for [Arch](https://github.com/katanemo/archgw) (The AI-native proxy server and universal data plane for agents).
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  Current
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- 1. Arch-Guard: a fast and efficient model for jailbreak attempts; improves performance over Meta Prompt Guard
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- 2. Arch-Router: a compact, 1.5B model for LLM routing. A preference-aligned routing model that guides LLM selection by matching queries to user-defined domains (e.g., travel) or action types (e.g., image editing) – offering a practical mechanism to encode preferences in routing decision
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  3. Arch-Agent: Designed to power sophisticated multi-step and multi-turn workflows, Arch-Agent excels at handling complex, multi-step tasks that require intelligent tool selection, adaptive planning, and seamless integration with external APIs and services.
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  History
 
10
  The Arch Family.
11
 
12
  The Arch family of LLMs are designed to fast and efficient LLMs for common scenarios in agentic application worloads - helping developers stay focused on higher level objectives
13
+ of their agents. These scenario include fast agent routing and hand-off, tools calls for common agentic scenarios to improve speed, guadrails and input/output validation of prompts and dynamic routing to LLM based on human preferences.
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+ The Arch family of LLMs power the intelligence for [Arch](https://github.com/katanemo/archgw) (The AI-native proxy server and universal data plane for agents).
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  Current
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+ 1. Arch-Guard: A fast and efficient model for jailbreak attempts; improves performance over Meta Prompt Guard
19
+ 2. Arch-Router: A fast preference-aligned routing model that guides LLM selection by matching queries to user-defined domains (e.g., travel) or action types (e.g., image editing) – offers a practical mechanism to encode preferences in routing decision.
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  3. Arch-Agent: Designed to power sophisticated multi-step and multi-turn workflows, Arch-Agent excels at handling complex, multi-step tasks that require intelligent tool selection, adaptive planning, and seamless integration with external APIs and services.
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  History