diff --git a/_images/arch-logo.png b/_images/arch-logo.png
index fa51c69a..5b6c0b15 100755
Binary files a/_images/arch-logo.png and b/_images/arch-logo.png differ
diff --git a/_static/img/arch-logo.png b/_static/img/arch-logo.png
index fa51c69a..5b6c0b15 100755
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diff --git a/concepts/llm_provider.html b/concepts/llm_provider.html
index 3b6a3caa..7c228e74 100755
--- a/concepts/llm_provider.html
+++ b/concepts/llm_provider.html
@@ -203,39 +203,27 @@ LLMs. Simply configure the details of the LLMs your application will use, and Ar
make outbound LLM calls.
Adding custom LLM Provider
-
We support any OpenAI compliant LLM for example mistral, openai, ollama etc. We offer first class support for openai and ollama. You can easily configure an LLM that communicates over the OpenAI API interface, by following the below guide.
+
We support any OpenAI compliant LLM for example mistral, openai, ollama etc. We also offer first class support for OpenAI, Anthropic, DeepSeek, Mistral, Groq, and Ollama based models.
+You can easily configure an LLM that communicates over the OpenAI API interface, by following the below guide.
For example following code block shows you how to add an ollama-supported LLM in the arch_config.yaml file.
And in the following code block shows you how to add mistral llm provider in the arch_config.yaml file.
Example: Using the OpenAI Python SDK
fromopenaiimportOpenAI
-# Initialize the Arch client
-client=OpenAI(base_url="http://127.0.0.12000/")
+# Initialize the Arch client
+client=OpenAI(base_url="http://127.0.0.1:2000/")
-# Define your LLM provider and prompt
-llm_provider="openai"
-prompt="What is the capital of France?"
+# Define your model and messages
+model="llama3.2"
+messages=[{"role":"user","content":"What is the capital of France?"}]
-# Send the prompt to the LLM through Arch
-response=client.completions.create(llm_provider=llm_provider,prompt=prompt)
+# Send the messages to the LLM through Arch
+response=client.chat.completions.create(model=model,messages=messages)
-# Print the response
-print("LLM Response:",response)
+# Print the response
+print("LLM Response:",response.choices[0].message.content)
diff --git a/get_started/intro_to_arch.html b/get_started/intro_to_arch.html
index 77d11afc..5a773e42 100755
--- a/get_started/intro_to_arch.html
+++ b/get_started/intro_to_arch.html
@@ -174,7 +174,7 @@ For example:
High-level network flow of where Arch Gateway sits in your agentic stack. Designed for both ingress and egress prompt traffic.
-
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:
+
Arch is a modular edge and AI gateway for AI-native apps - 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)
diff --git a/get_started/overview.html b/get_started/overview.html
index 604757b9..f09208ac 100755
--- a/get_started/overview.html
+++ b/get_started/overview.html
@@ -157,7 +157,7 @@
Overview
-
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.
+
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.
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.
Build faster, multi-LLM agents for the enterprise.
-
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.
+
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.
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/searchindex.js b/searchindex.js
index 0367c2dd..94439ba4 100755
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
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