docs: remove edit links, rename Console to App, clean CLI titles

app/layout.config.tsx

@@ -44,7 +44,7 @@ export const baseOptions: BaseLayoutProps = {
 			children: (
 				<div className="flex items-center gap-2 text-sm">
 					<NavButton href="https://agentuity.com/blog" target="_blank" rel="noopener noreferrer">Blog</NavButton>
-					<NavButton href="https://app.agentuity.com" target="_blank" rel="noopener noreferrer">Console</NavButton>
+					<NavButton href="https://app.agentuity.com" target="_blank" rel="noopener noreferrer">Cloud App</NavButton>
 					<CommunityButton target="_blank" rel="noopener noreferrer" />
 					<XButton className="h-9" />
 					<NavButton href="https://github.com/agentuity" className="h-9" target="_blank" rel="noopener noreferrer">

content/CLI/agent.mdx

@@ -1,5 +1,5 @@
 ---
-title: Agent Commands
+title: Agent
 description: Commands for managing agents
 ---
 

content/CLI/apikey.mdx

@@ -1,5 +1,5 @@
 ---
-title: API Key Commands
+title: API Key
 description: Commands for managing API keys
 ---
 
@@ -73,4 +73,4 @@ Lists all available API keys for your account.
 - `-h, --help` - help for list
 - `-m, --mask` - Mask the API key value
 - `-o, --org-id string` - The organization ID to filter by
-- `-p, --project-id string` - The project ID to filter by
+- `-p, --project-id string` - The project ID to filter by

content/CLI/auth.mdx

@@ -1,5 +1,5 @@
 ---
-title: Authentication Commands
+title: Authentication
 description: Commands for authenticating with Agentuity
 ---
 

content/CLI/cloud.mdx

@@ -1,5 +1,5 @@
 ---
-title: Cloud Commands
+title: Cloud
 description: Commands for deploying and managing agents
 ---
 

content/CLI/dev.mdx

@@ -1,5 +1,5 @@
 ---
-title: Development Commands
+title: Development
 description: Commands for local development of agents using DevMode
 ---
 
@@ -34,4 +34,4 @@ Run a development server for a project in a specific directory:
 ✓ Development server started
 </CLICommand>
 
-> See the [DevMode](/Guides/devmode) documentation for more information on how to use DevMode.
+> See the [DevMode](/Concepts/devmode) documentation for more information on how to use DevMode.

content/CLI/env.mdx

@@ -1,5 +1,5 @@
 ---
-title: Environment Commands
+title: Environment
 description: Commands for managing environment variables and secrets
 ---
 
@@ -120,4 +120,4 @@ Delete multiple environment variables:
 ✓ Environment variables and secrets deleted
 </CLICommand>
 
-> You can also manage your environment variables and secrets in the [Console](/Cloud/api-keys).
+> You can also manage your environment variables and secrets in the [App](/Cloud/api-keys).

content/CLI/mcp.mdx

@@ -1,5 +1,5 @@
 ---
-title: MCP Commands
+title: MCP
 description: Commands for the Model Context Protocol (MCP) integration
 ---
 

content/CLI/project.mdx

@@ -1,5 +1,5 @@
 ---
-title: Project Commands
+title: Project
 description: Commands for creating and managing projects
 ---
 

content/CLI/version.mdx

@@ -1,5 +1,5 @@
 ---
-title: Version Commands
+title: Version
 description: Commands for checking the version of the CLI
 ---
 

content/Cloud/agents.mdx

@@ -58,7 +58,7 @@ graph TD
 
 You can think of the agent as an intelligent black box that receives data from sources and responds with data which is sent to the configured destinations.
 
-Read the [Agent IO](/Guides/agent-io) guide for more information.
+Read the [Agent IO](/Concepts/agent-io) guide for more information.
 
 You can add a new input or output by clicking the plus button in the agent IO visualization.
 

content/Cloud/aigateway.mdx

@@ -9,7 +9,7 @@ description: The AI Gateway page is for understanding your AI Gateway usage
 
 ## Viewing Your Session Usage
 
-When you navigate to the AI Gateway > Sessions page in the Cloud Console, you'll see a table listing all your sessions with the following information:
+When you navigate to the AI Gateway > Sessions page in the Cloud App, you'll see a table listing all your sessions with the following information:
 
 - **Agent**: The name of your agent
 - **Provider**: The AI provider used for the session

content/Cloud/api-keys.mdx

@@ -5,7 +5,7 @@ description: The API Keys page is for managing your API keys
 
 ## Viewing Your API Keys
 
-When you navigate to the API Keys page in the Cloud Console (under Settings), you'll see a table listing all your API keys with the following information:
+When you navigate to the API Keys page in the Cloud App (under Settings), you'll see a table listing all your API keys with the following information:
 
 - **Name**: The descriptive name you've given to the API key
 - **Key**: The actual API key value (hidden by default for security)
@@ -19,7 +19,7 @@ When you navigate to the API Keys page in the Cloud Console (under Settings), yo
 
 To create a new API key:
 
-1. Navigate to the API Keys page in the Cloud Console (under Settings)
+1. Navigate to the API Keys page in the Cloud App (under Settings)
 2. Click the "Create API Key" button in the top-right corner
 3. In the dialog that appears:
    - Enter a descriptive name for the key (e.g., "Production API Key")
@@ -37,4 +37,4 @@ You can use the CLI to manage your API keys using the following command:
 
 <CLICommand command="agentuity apikey" />
 
-See the [CLI documentation](/CLI/apikey) for more information on specific command usage and flags.
+See the [CLI documentation](/CLI/apikey) for more information on specific command usage and flags.

content/Cloud/index.mdx

@@ -1,9 +1,9 @@
 ---
 title: Overview
-description: Introduction to the Agentuity Cloud Console and its features
+description: Introduction to the Agentuity Cloud App and its features
 ---
 
-The Agentuity Cloud Console is a web-based interface for managing your Agentuity resources, projects, and settings. This guide provides an overview of the main features and functionality available in the Cloud Console.
+The Agentuity Cloud App is a web-based interface for managing your Agentuity resources, projects, and settings. This guide provides an overview of the main features and functionality available in the Cloud App.
 
 - Create and manage projects via the [Project Dashboard](/Cloud/project)
 - Configure settings and API keys [API Keys](/Cloud/api-keys)

content/Cloud/key-value-memory.mdx

@@ -18,7 +18,7 @@ Key value memory storage is designed for fast, simple, or temporary data storage
 
 ## Viewing Your Key Value Instances
 
-When you navigate to the Memory > Key Value page in the Cloud Console, you'll see a table listing all your key value instances with the following information:
+When you navigate to the Memory > Key Value page in the Cloud App, you'll see a table listing all your key value instances with the following information:
 
 - **Name**: The name of your key value instance
 - **Size**: The storage size used by the key value instance
@@ -35,7 +35,7 @@ You can select a key value instance to view and manage its data.
 
 There are two ways to create a new key value instance:
 
-1. From the Services > Key Value page in the Cloud Console
+1. From the Services > Key Value page in the Cloud App
 2. In code, using the Agentuity SDK
 
-<ThemeImage baseName="keyvalue-new" alt="New Key Value Memory Storage"  />
+<ThemeImage baseName="keyvalue-new" alt="New Key Value Memory Storage"  />

content/Cloud/meta.json

@@ -1,5 +1,5 @@
 {
-	"title": "Console",
+	"title": "App",
 	"pages": [
 		"index",
 		"project",

content/Cloud/vector-memory.mdx

@@ -15,7 +15,7 @@ Vector memory storage is designed for semantic search and large context windows,
 
 ## Viewing Your Vector Instances
 
-When you navigate to the Memory > Vector page in the Cloud Console, you'll see a table listing all your vector instances with the following information:
+When you navigate to the Services > Vector page in the Cloud App, you'll see a table listing all your vector instances with the following information:
 
 - **Name**: The name of your vector instance
 - **Size**: The storage size used by the vector instance
@@ -34,7 +34,7 @@ You can select a vector instance to view and manage its data.
 
 There are two ways to create a new vector instance:
 
-1. From the Services > Vector page in the Cloud Console
+1. From the Services > Vector page in the Cloud App
 2. In code, using the Agentuity SDK
 
-<ThemeImage baseName="vector-new" alt="New Vector Memory Storage"  />
+<ThemeImage baseName="vector-new" alt="New Vector Memory Storage"  />

content/Guides/agent-data-handling.mdx → content/Concepts/agent-data-handling.mdx

@@ -161,7 +161,7 @@ async def run(request: AgentRequest, response: AgentResponse, context: AgentCont
 
 You must await the `stream` method to get a stream of the raw binary data.  The stream will be a `ReadableStream` object for JavaScript and a `IO[bytes]` object for Python.
 
-See the [Streaming](/guides/agent-streaming) guide for more information on how Agent Streaming works.
+See the [Streaming](/Concepts/agent-streaming) guide for more information on how Agent Streaming works.
 
 
 #### Base64

content/Guides/agent-engineering.mdx → content/Concepts/agent-engineering.mdx

@@ -7,7 +7,7 @@ description: Effective software engineering in an agentic future
 
 Traditional software engineering is built around deterministic logic, tightly scoped inputs and outputs, and rigid control flows. When you start building agents, you're no longer programming every behavior—you're designing systems that can interpret goals, reason about context, and act autonomously.
 
-> 🤔 Not sure what an agent is? Check out [What is an Agent?](/Guides/what-is-an-agent)
+> 🤔 Not sure what an agent is? Check out [What is an Agent?](/Concepts/what-is-an-agent)
 
 Building agents isn't just about writing code—it's about shaping intelligent behavior.
 
@@ -129,4 +129,4 @@ Modern AI can also not only return output, it can return structured output too (
 
 Agents represent a new abstraction layer — between human goals and system actions. As an engineer, your job shifts from building every bridge to empowering an intelligent system to build those bridges for you. That's not just a technical challenge—it's a creative one.
 
-Make sure you understand the differences between today's cloud computing paradigm and the [Agent-Native Cloud](/Guides/agent-native-cloud).
+Make sure you understand the differences between today's cloud computing paradigm and the [Agent-Native Cloud](/Concepts/agent-native-cloud).

content/Guides/agent-native-cloud.mdx → content/Concepts/agent-native-cloud.mdx

@@ -110,7 +110,7 @@ If your infrastructure can't help agents learn, adapt, and coordinate at machine
 
 • **Leadership** – Faster time-to-value, lower TCO, and infrastructure that *gets better with age*.
 
-If you're in software engineering, you need to think like an [Agent Builder](/Guides/agent-engineering).
+If you're in software engineering, you need to think like an [Agent Builder](/Concepts/agent-engineering).
 
 ---
 

content/Guides/meta.json → content/Concepts/meta.json

@@ -1,5 +1,5 @@
 {
-	"title": "Guides",
+	"title": "Concepts",
 	"pages": [
 		"what-is-an-agent",
 		"agent-native-cloud",

content/Guides/what-is-an-agent.mdx → content/Concepts/what-is-an-agent.mdx

@@ -70,8 +70,8 @@ We have optimized cloud computing largely by moving the compute to the edge, foc
 
 Agents demands a new paradigm.  Agents aren't focused on low latency, they are focused on long-running, complex tasks that require a lot of context and coordination.  They are not sessionless, they are stateful and both short and long term memory is required.  They are not distributed, they are centralized  —  often close to the data resources or as close to low latency, high bandwith GPU clusters.
 
-Learn more details about the differences in today's cloud computing paradigm and the [Agent-Native Cloud](/Guides/agent-native-cloud).
+Learn more details about the differences in today's cloud computing paradigm and the [Agent-Native Cloud](/Concepts/agent-native-cloud).
 
 ----
 
-If you're a software engineer and you need to build agents, you need to think like an [Agent Builder](/Guides/agent-engineering).
+If you're a software engineer and you need to build agents, you need to think like an [Agent Builder](/Concepts/agent-engineering).

content/Introduction/architecture.mdx

@@ -46,7 +46,7 @@ Agentuity consists of five primary components:
    - Integration capabilities with external systems
    - Enhanced agent capabilities and extensions which work cross-framework and cross-runtime
 
-4. **Web Console** - A management interface offering:
+4. **Web App** - A management interface offering:
    - Real-time agent monitoring and metrics
    - Deployment and configuration management
    - Usage analytics, logging, monitoring and performance insights

content/Introduction/getting-started.mdx

@@ -72,14 +72,14 @@ If you're using an Agentic Code Editor such as [Cursor](https://www.cursor.com),
 
 <Cards>
   <Card
-    title="Guides"
-    href="/Guides/what-is-an-agent"
-    description="Advanced guides for using Agentuity."
+    title="Concepts"
+    href="/Concepts/what-is-an-agent"
+    description="Advanced concepts for using Agentuity."
   />
   <Card
-    title="Cloud Console"
+    title="Cloud App"
     href="/Cloud/"
-    description="Learn about the Agentuity Console capabilities."
+    description="Learn about the Agentuity App capabilities."
   />
   <Card
     title="Command Line Interface"

content/SDKs/javascript/index.mdx

@@ -38,9 +38,9 @@ You can start your project by running the following command:
 
 <CLICommand command="agentuity dev" />
 
-This will start your project in development mode and open a new browser window connecting your Agent to the Agentuity Console in Live Mode.
+This will start your project in development mode and open a new browser window connecting your Agent to the Agentuity App in Live Mode.
 
-You can also start your project in development mode without connecting to the Agentuity Console by running the following command:
+You can also start your project in development mode without connecting to the Agentuity App by running the following command:
 
 <CLICommand command="npm start" />
 

content/SDKs/javascript/llm.mdx

@@ -27,5 +27,5 @@ To use the zero config LLM integrations, you can use the following SDK integrati
 - [Anthropic JavaScript SDK](https://github.com/anthropics/anthropic-sdk-node)
 - [Vercel AI SDK](https://github.com/vercel/ai)
 
-When any of the above SDKs are installed, the Agentuity Project will automatically detect it and route your requests to the AI Gateway.  However, we will only route requests if you do not provide your own LLM API Key.  By providing your own LLM API Key, the AI Gateway detection will be disabled and you will need to manually configure the LLM integration in the Agentuity Console.
+When any of the above SDKs are installed, the Agentuity Project will automatically detect it and route your requests to the AI Gateway.  However, we will only route requests if you do not provide your own LLM API Key.  By providing your own LLM API Key, the AI Gateway detection will be disabled and you will need to manually configure the LLM integration in the Agentuity App.
 

content/SDKs/python/index.mdx

@@ -37,9 +37,9 @@ You can start your project by running the following command:
 
 <CLICommand command="agentuity dev" />
 
-This will start your project in development mode and open a new browser window connecting your Agent to the Agentuity Console in Live Mode.
+This will start your project in development mode and open a new browser window connecting your Agent to the Agentuity App in Live Mode.
 
-You can also start your project in development mode without connecting to the Agentuity Console by running the following command:
+You can also start your project in development mode without connecting to the Agentuity App by running the following command:
 
 <CLICommand command="uv run server.py" />
 

content/SDKs/python/llm.mdx

@@ -27,5 +27,5 @@ To use the zero config LLM integrations, you can use the following SDK integrati
 - [Anthropic Python SDK](https://github.com/anthropics/anthropic-sdk-python)
 - [LiteLLM Python SDK](https://github.com/BerriAI/litellm)
 
-When any of the above SDKs are installed, the Agentuity Project will automatically detect it and route your requests to the AI Gateway.  However, we will only route requests if you do not provide your own LLM API Key.  By providing your own LLM API Key, the AI Gateway detection will be disabled and you will need to manually configure the LLM integration in the Agentuity Console.
+When any of the above SDKs are installed, the Agentuity Project will automatically detect it and route your requests to the AI Gateway.  However, we will only route requests if you do not provide your own LLM API Key.  By providing your own LLM API Key, the AI Gateway detection will be disabled and you will need to manually configure the LLM integration in the Agentuity App.
 

content/meta.json

@@ -2,7 +2,7 @@
 	"title": "Agentuity Docs",
 	"pages": [
 		"Introduction",
-		"Guides",
+		"Concepts",
 		"Cloud",
 		"CLI",
 		"SDKs",

next.config.mjs

@@ -17,6 +17,11 @@ const config = {
 			source: "/docs",
 			destination: "/",
 			permanent: true,
+		},
+		{
+			source: "/Guides/:path*",
+			destination: "/Concepts/:path*",
+			permanent: true,
 		}
 	],
 };