diff --git a/_images/arch-logo.png b/_images/arch-logo.png
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diff --git a/_images/arch_network_diagram_high_level.png b/_images/arch_network_diagram_high_level.png
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diff --git a/_static/img/arch-logo.png b/_static/img/arch-logo.png
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diff --git a/_static/img/arch_network_diagram_high_level.png b/_static/img/arch_network_diagram_high_level.png
index 8a66686f..e83e7165 100755
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diff --git a/build_with_arch/agent.html b/build_with_arch/agent.html
index 55748a0f..94c1e629 100755
--- a/build_with_arch/agent.html
+++ b/build_with_arch/agent.html
@@ -412,7 +412,7 @@ the user’s intent.
diff --git a/build_with_arch/multi_turn.html b/build_with_arch/multi_turn.html
index 2cc71828..9b110634 100755
--- a/build_with_arch/multi_turn.html
+++ b/build_with_arch/multi_turn.html
@@ -348,7 +348,7 @@ that you can test and modify locally for multi-turn RAG scenarios.
diff --git a/build_with_arch/rag.html b/build_with_arch/rag.html
index 3415339a..25ebe538 100755
--- a/build_with_arch/rag.html
+++ b/build_with_arch/rag.html
@@ -296,7 +296,7 @@ minutes. For additional details on how to build multi-turn RAG applications plea
diff --git a/concepts/llm_provider.html b/concepts/llm_provider.html
index 28903a33..18cc50ec 100755
--- a/concepts/llm_provider.html
+++ b/concepts/llm_provider.html
@@ -269,7 +269,7 @@ make outbound LLM calls.
diff --git a/concepts/prompt_target.html b/concepts/prompt_target.html
index d0de1e5f..144ba755 100755
--- a/concepts/prompt_target.html
+++ b/concepts/prompt_target.html
@@ -366,7 +366,7 @@ Each parameter can be marked as required or optional. Here is a full list of par
diff --git a/concepts/tech_overview/error_target.html b/concepts/tech_overview/error_target.html
index 57cae56e..e522b977 100755
--- a/concepts/tech_overview/error_target.html
+++ b/concepts/tech_overview/error_target.html
@@ -233,7 +233,7 @@ The errors are communicated to the application via headers like
diff --git a/concepts/tech_overview/listener.html b/concepts/tech_overview/listener.html
index 3cdd7685..60fed7c7 100755
--- a/concepts/tech_overview/listener.html
+++ b/concepts/tech_overview/listener.html
@@ -237,7 +237,7 @@ address like arch.l
diff --git a/concepts/tech_overview/model_serving.html b/concepts/tech_overview/model_serving.html
index 314d4131..81bc9af8 100755
--- a/concepts/tech_overview/model_serving.html
+++ b/concepts/tech_overview/model_serving.html
@@ -224,7 +224,7 @@ how to generate API keys for model serving
diff --git a/concepts/tech_overview/prompt.html b/concepts/tech_overview/prompt.html
index 4a1a5459..33accc8f 100755
--- a/concepts/tech_overview/prompt.html
+++ b/concepts/tech_overview/prompt.html
@@ -398,7 +398,7 @@ This setup allows you to take advantage of Arch’s advanced traffic management
diff --git a/concepts/tech_overview/request_lifecycle.html b/concepts/tech_overview/request_lifecycle.html
index 4a51e6c5..74e8ac45 100755
--- a/concepts/tech_overview/request_lifecycle.html
+++ b/concepts/tech_overview/request_lifecycle.html
@@ -398,7 +398,7 @@ processing request headers and then finalized by the HCM during post-request pro
diff --git a/concepts/tech_overview/tech_overview.html b/concepts/tech_overview/tech_overview.html
index 78b9e8f2..f751251b 100755
--- a/concepts/tech_overview/tech_overview.html
+++ b/concepts/tech_overview/tech_overview.html
@@ -220,7 +220,7 @@
diff --git a/concepts/tech_overview/terminology.html b/concepts/tech_overview/terminology.html
index c31925dc..76820253 100755
--- a/concepts/tech_overview/terminology.html
+++ b/concepts/tech_overview/terminology.html
@@ -217,7 +217,7 @@ and take appropriate actions.
diff --git a/concepts/tech_overview/threading_model.html b/concepts/tech_overview/threading_model.html
index 0b80065e..44e23c07 100755
--- a/concepts/tech_overview/threading_model.html
+++ b/concepts/tech_overview/threading_model.html
@@ -195,7 +195,7 @@ hardware threads on the machine.
diff --git a/get_started/intro_to_arch.html b/get_started/intro_to_arch.html
index 2274c50a..ee00121b 100755
--- a/get_started/intro_to_arch.html
+++ b/get_started/intro_to_arch.html
@@ -157,16 +157,16 @@
Intro to Arch
-
Arch is an intelligent proxy server designed agentic applications. Move faster by letting Arch handle the pesky heavy lifting in building agents:
-fast input clarification, agent routing, seamless integration of prompts with tools for common tasks, and unified access and observability of LLMs.
-
Past the thrill of an AI demo, have you found yourself hitting these walls? You know, the all too familiar ones:
+
AI demos are easy to build. But past the thrill of a quick hack, you are left building, maintaining and scaling low-level plumbing code for agents that slows down AI innovation.
+For example:
-
You break a prompt into specialized ones, but get stuck writing routing and handoff logic?
-
You want use new LLMs, but struggle to quickly add LLMs without writing integration logic?
-
You’re trapped in tedious prompting work to clarify inputs and user intents?
-
You’re wasting cycles choosing and integrating code for observability instead of it just happening transparently?
+
You want to build specialized agents, but get stuck writing routing and handoff code.
+
You bogged down with prompt engineering work to clarify user intent and validate inputs.
+
You want to quickly and safely use new LLMs but get stuck writing integration code.
+
You waste cycles writing and maintaining observability code, when it can be transparent.
+
You want to apply guardrails, but have to write custom code for each prompt and LLM.
-
And you think to yourself, can’t I move faster by focusing on higher-level objectives in a language and framework agnostic way? Well, you can!
+
Arch is designed to solve these problems by providing a unified, out-of-process architecture that integrates with your existing application stack, enabling you to focus on building high-level features rather than plumbing — all without locking you into a framework.
@@ -174,7 +174,7 @@ fast input clarification, agent routing, seamless integration of prompts with to
High-level network flow of where Arch Gateway sits in your agentic stack. Designed for both ingress and egress prompt traffic.
-
Arch Gateway was built by the contributors of Envoy Proxy with the belief that:
+
Arch is an AI-native proxy server and the universal data plane for AI built by the contributors of Envoy Proxy with the belief that:
Prompts are nuanced and opaque user requests, which require the same capabilities as traditional HTTP requests
including secure handling, intelligent routing, robust observability, and integration with backend (API)
@@ -190,8 +190,8 @@ This gives Arch several advantages:
Arch works with any application language. A single Arch deployment can act as gateway for AI applications written in Python, Java, C++, Go, Php, etc.
Arch can be deployed and upgraded quickly across your infrastructure transparently without the horrid pain of deploying library upgrades in your applications.
-
Engineered with Fast LLMs: Arch is engineered with specialized small LLMs that are designed for fast, cost-effective and accurate handling of prompts.
-These LLMs are designed to be best-in-class for critical prompt-related tasks like:
+
Engineered with Fast Task-Specific LLMs (TLMs): Arch is engineered with specialized LLMs that are designed for the fast, cost-effective and accurate handling of prompts.
+These LLMs are designed to be best-in-class for critical tasks like:
Function Calling: Arch helps you easily personalize your applications by enabling calls to application-specific (API) operations via user prompts.
This involves any predefined functions or APIs you want to expose to users to perform tasks, gather information, or manipulate data.
@@ -239,7 +239,7 @@ For more details, read
Welcome to Arch, The intelligent (edge and LLM) proxy server for agentic applications.
-
Move faster by letting Arch handle the pesky heavy lifting in building agents: fast input clarification, agent routing,
-seamless integration of prompts with tools for common tasks, and unified access and observability of LLMs.
+
Arch is an AI-native proxy server and the universal data plane for AI - one that is natively designed to handle and process AI prompts, not just network traffic.
+
Built by contributors to the widely adopted Envoy Proxy, 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.
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,
simplify the interaction with upstream LLMs, and improve observability all while simplifying your application development process.
@@ -333,7 +332,7 @@ simplify the interaction with upstream LLMs, and improve observability all while
LLM Router is an intelligent routing system that automatically selects the most appropriate large language model (LLM) for each user request based on the intent, domain, and complexity of the prompt. This enables optimal performance, cost efficiency, and response quality by matching requests with the most suitable model from your available LLM fleet.
+
With the rapid proliferation of large language models (LLM) — each optimized for different strengths, style, or latency/cost profile — routing has become an essential technique to operationalize the use of different models.
+
Arch Router is an intelligent routing system that automatically selects the most appropriate LLM for each user request based on user-defined usage preferences. Specifically Arch-Router guides model selection by matching queries to user-defined domains (e.g., finance and healthcare) and action types (e.g., code generation, image editing, etc.).
+Our preference-aligned approach matches practical definitions of performance in the real world and makes routing decisions more transparent and adaptable.
+
This enables optimal performance, cost efficiency, and response quality by matching requests with the most suitable model from your available LLM fleet.
Routing Workflow
@@ -327,7 +330,7 @@
diff --git a/guides/observability/access_logging.html b/guides/observability/access_logging.html
index 950de95e..72aab072 100755
--- a/guides/observability/access_logging.html
+++ b/guides/observability/access_logging.html
@@ -243,7 +243,7 @@ Access logs can be exported to centralized logging systems (e.g., ELK stack or F
diff --git a/guides/observability/monitoring.html b/guides/observability/monitoring.html
index 3f085dd5..2595c478 100755
--- a/guides/observability/monitoring.html
+++ b/guides/observability/monitoring.html
@@ -255,7 +255,7 @@ are some sample configuration files for both, respectively.
diff --git a/guides/observability/observability.html b/guides/observability/observability.html
index b9d8e15a..2d2afbdc 100755
--- a/guides/observability/observability.html
+++ b/guides/observability/observability.html
@@ -207,7 +207,7 @@
diff --git a/guides/observability/tracing.html b/guides/observability/tracing.html
index 92ced786..41cf09cb 100755
--- a/guides/observability/tracing.html
+++ b/guides/observability/tracing.html
@@ -577,7 +577,7 @@ tools like AWS X-Ray and Datadog, enhancing observability and facilitating faste
diff --git a/guides/prompt_guard.html b/guides/prompt_guard.html
index 2a29a154..a79bafb7 100755
--- a/guides/prompt_guard.html
+++ b/guides/prompt_guard.html
@@ -267,7 +267,7 @@ By implementing Prompt Guard, developers can provide a robust layer of input val
diff --git a/index.html b/index.html
index eeff5919..0e4343d5 100755
--- a/index.html
+++ b/index.html
@@ -151,10 +151,10 @@
-
Build fast, observable, and personalized GenAI apps
+
Build faster, multi-LLM agents for the enterprise.
-
Arch is an intelligent (edge and LLM) proxy, exclusively designed for prompts and agents - and built by the contributors of the widely adopted and loved Envoy ).
-
Move faster by letting Arch handle the pesky heavy lifting in building agents: fast input clarification, agent routing, seamless integration of prompts with tools for common tasks, and unified access and observability of LLMs - all outside business logic.
+
Arch is an AI-native proxy server and the universal data plane for AI - one that is natively designed to handle and process AI prompts, not just network traffic.
+
Built by contributors to the widely adopted Envoy Proxy, 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.
diff --git a/resources/configuration_reference.html b/resources/configuration_reference.html
index a9bd349f..0562e452 100755
--- a/resources/configuration_reference.html
+++ b/resources/configuration_reference.html
@@ -275,7 +275,7 @@ where prompts get routed to, apply guardrails, and enable critical agent observa
diff --git a/search.html b/search.html
index 03b3d928..3657e66f 100755
--- a/search.html
+++ b/search.html
@@ -215,7 +215,7 @@
diff --git a/searchindex.js b/searchindex.js
index 7b757a53..ff277928 100755
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
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@@ -174,7 +174,7 @@ fast input clarification, agent routing, seamless integration of prompts with to
