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consistent messaging
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@ -41,6 +41,7 @@ You can easily configure an LLM that communicates over the OpenAI API interface,
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For example following code block shows you how to add an ollama-supported LLM in the `arch_config.yaml` file.
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.. code-block:: yaml
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llm_providers:
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- model: some_custom_llm_provider/llama3.2
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provider_interface: openai
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@ -49,6 +50,7 @@ For example following code block shows you how to add an ollama-supported LLM in
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And in the following code block shows you how to add mistral llm provider in the `arch_config.yaml` file.
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.. code-block:: yaml
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llm_providers:
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- name: mistral/ministral-3b-latest
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access_key: $MISTRAL_API_KEY
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@ -20,7 +20,7 @@ Arch is designed to solve these problems by providing a unified, out-of-process
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High-level network flow of where Arch Gateway sits in your agentic stack. Designed for both ingress and egress prompt traffic.
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`Arch <https://github.com/katanemo/arch>`_ is a modular edge and AI gateway for AI-native apps - built by the contributors of Envoy Proxy with the belief that:
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`Arch <https://github.com/katanemo/arch>`_ is a smart edge and AI gateway for AI-native apps - built by the contributors of Envoy Proxy with the belief that:
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*Prompts are nuanced and opaque user requests, which require the same capabilities as traditional HTTP requests
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including secure handling, intelligent routing, robust observability, and integration with backend (API)
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@ -3,9 +3,9 @@
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Overview
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============
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`Arch <https://github.com/katanemo/arch>`_ is a modular edge and AI gateway for AI-native apps - one that is natively designed to handle and process prompts, not just network traffic.
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`Arch <https://github.com/katanemo/arch>`_ is a smart edge and AI gateway for AI-native apps - one that is natively designed to handle and process prompts, not just network traffic.
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Built by contributors to the widely adopted `Envoy Proxy <https://www.envoyproxy.io/>`_, Arch helps you move faster by handling the pesky *low-level* work in AI agent development—fast input clarification, intelligent agent routing, seamless prompt-to-tool integration, and unified LLM access and observability—all without locking you into a framework.
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Built by contributors to the widely adopted `Envoy Proxy <https://www.envoyproxy.io/>`_, Arch handles the *pesky low-level work* in building agentic apps — like applying guardrails, clarifying vague user input, routing prompts to the right agent, and unifying access to any LLM. It’s a language and framework friendly infrastructure layer designed to help you build and ship agentic apps faster.
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In this documentation, you will learn how to quickly set up Arch to trigger API calls via prompts, apply prompt guardrails without writing any application-level logic,
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@ -14,9 +14,9 @@ Welcome to Arch!
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<a href="https://www.producthunt.com/posts/arch-3?embed=true&utm_source=badge-top-post-badge&utm_medium=badge&utm_souce=badge-arch-3" target="_blank"><img src="https://api.producthunt.com/widgets/embed-image/v1/top-post-badge.svg?post_id=565761&theme=dark&period=daily&t=1742433071161" alt="Arch - Build fast, hyper-personalized agents with intelligent infra | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /></a>
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`Arch <https://github.com/katanemo/arch>`_ is a modular edge and AI gateway for AI-native apps - one that is natively designed to handle and process prompts, not just network traffic.
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`Arch <https://github.com/katanemo/arch>`_ is a smart edge and AI gateway for AI-native apps - one that is natively designed to handle and process prompts, not just network traffic.
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Built by contributors to the widely adopted `Envoy Proxy <https://www.envoyproxy.io/>`_, Arch helps you move faster by handling the pesky *low-level* work in AI agent development—fast input clarification, intelligent agent routing, seamless prompt-to-tool integration, and unified LLM access and observability—all without locking you into a framework.
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Built by contributors to the widely adopted `Envoy Proxy <https://www.envoyproxy.io/>`_, Arch handles the *pesky low-level work* in building agentic apps — like applying guardrails, clarifying vague user input, routing prompts to the right agent, and unifying access to any LLM. It’s a language and framework friendly infrastructure layer designed to help you build and ship agentic apps faster.
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.. tab-set::
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