Add Redis Cloud setup docs for the Iris GA services

content/develop/ai/context-engine/agent-memory/quickstart.md

@@ -49,7 +49,7 @@ You also need a shell with `curl` and `jq` installed.
 ## Save the connection values
 
 1. Open the Redis Agent Memory service in the Redis Cloud console.
-1. On the **Configuration** tab, copy the **Endpoint** and **Store ID**.
+1. On the **Configuration** tab, copy the **Store ID** and the URL from the **URL List**. This URL is the endpoint.
 1. Export the values for your chosen client in your shell:
 
 {{< multitabs id="connection-values" tab1="Python" tab2="TypeScript" tab3="curl" >}}

content/develop/ai/context-engine/agent-playbooks/_index.md

@@ -49,7 +49,7 @@ See [Redis Agent Playbooks concepts]({{< relref "/develop/ai/context-engine/agen
 
 ## Get started
 
-1. Set up a playbook. Operator guides are coming soon.
+1. [Create a playbook]({{< relref "/operate/iris/agent-playbook/create-playbook" >}}) on Redis Cloud.
 2. [Publish and retrieve your first FAQ]({{< relref "/develop/ai/context-engine/agent-playbooks/quickstart" >}}).
 
 ## Manage playbook entries

content/develop/ai/context-engine/agent-playbooks/retrieval.md

@@ -68,9 +68,7 @@ Your administrator sets the playbook controls:
 | `discovery.maxResults` | `10` | Combined result ceiling for pins and discovered matches. |
 | `discovery.previewTokenBudget` | Disabled | Estimated token ceiling for the discovery response. It applies only when `discovery.previewTokenBudgetEnabled` is `true`. |
 
-Discovery has no per-request similarity override. An administrator can adjust the playbook thresholds.
-
-<!-- TODO: Link to Agent Playbooks retrieval configuration in the operator guide when available. -->
+Discovery has no per-request similarity override. An administrator can adjust the playbook thresholds in its [discovery policy]({{< relref "/operate/iris/agent-playbook/manage-playbook#discovery-policy" >}}).
 
 ### Pin required knowledge
 

content/develop/ai/context-engine/lens/configure.md

@@ -65,8 +65,8 @@ Lens keys have one of three scopes:
 | `read` | People and tools that read turns, in the Lens user interface (UI) or with the read application programming interface (API). |
 | `full` | Both. |
 
-Agents send their key as `IRIS_LENS_API_KEY`. The read client reads its key from `LENS_API_KEY`. Give each agent an ingest key and each reader a read key, so an agent's key can't read other agents' turns. Your administrator creates keys.
-<!-- TODO: link the operator guide for creating Lens keys when it exists. -->
+Agents send their key as `IRIS_LENS_API_KEY`. The read client reads its key from `LENS_API_KEY`. Give each agent an ingest key and each reader a read key, so an agent's key can't read other agents' turns. On Redis Cloud, [create keys in the console](/content/operate/iris/lens/create-lens.md#create-api-keys). Self-managed, your administrator creates them.
+<!-- TODO: link the self-managed operator guide for creating Lens keys when it exists. -->
 
 ## Control content capture
 

content/develop/ai/context-engine/lens/inspect-sessions.md

@@ -15,8 +15,8 @@ Use the Lens user interface (UI) to find a session, open a turn, and see what ha
 
 ## Connect to Lens
 
-Open Lens. If Lens asks for a credential, paste your read key and select **Connect**.
-<!-- TODO: describe where to open Lens on Redis Cloud and self-managed when the operator pages exist. -->
+Open Lens. On Redis Cloud, select **Lens** under **Iris** in the console menu; Lens uses your console sign-in. Self-managed, Lens asks for a credential: paste your read key and select **Connect**.
+<!-- TODO: describe where to open Lens self-managed when the operator pages exist. -->
 
 ## Find a session
 

content/develop/ai/context-engine/lens/quickstart.md

@@ -15,7 +15,7 @@ Trace one agent turn with the Redis Iris software development kit (SDK), then fi
 
 ## Before you begin
 
-Get these values from your administrator:
+Get these values. On Redis Cloud, [create Lens and its keys](/content/operate/iris/lens/create-lens.md). Self-managed, get them from your administrator.
 
 - The Iris host, such as `https://iris.example.com`. The SDK sends turns there, and the read client reads them back from there.
 - An ingest key, for sending turns.
@@ -33,6 +33,7 @@ python -m venv .venv
 source .venv/bin/activate
 python -m pip install redis-iris 'redis-agent-lens>=0.1.0a4'
 ```
+<!-- TODO: confirm the install command; the console uses pip install --pre "redis-iris[llm-tracing]" -->
 
 ## Configure the SDK
 
@@ -74,8 +75,8 @@ A turn is readable a few seconds after its export.
 
 To view it in Lens:
 
-1. Open Lens. If Lens asks for a credential, paste your read key and select **Connect**.
-   <!-- TODO: describe where to open Lens on Redis Cloud and self-managed when the operator pages exist. -->
+1. Open Lens. On Redis Cloud, select **Lens** under **Iris** in the console menu; Lens uses your console sign-in. Self-managed, Lens asks for a credential: paste your read key and select **Connect**.
+   <!-- TODO: describe where to open Lens self-managed when the operator pages exist. -->
 1. Select the `lens-quickstart` agent.
 1. Select the session that matches the printed session ID.
 1. Expand the turn.

content/embeds/rc-agent-memory-quickstart-create-service.md

@@ -1,7 +1,6 @@
 1. Sign in to the [Redis Cloud console](https://cloud.redis.io/).
-1. Select **Agent Memory** from the navigation menu.
-1. If Redis Cloud displays service terms, review and accept them.
-1. Select **Create custom service**.
+1. Select **Agent Memory** under **Iris** in the navigation menu.
+1. Select **Create Agent Memory service**, or **New service** if you already have a service. Then select **Customize settings**.
 1. Enter a service name, select an eligible database, and select its `default` user.
 1. Under **Memory configuration**, enter these values:
 
@@ -12,9 +11,9 @@
     | **Extraction cadence** | `1` minute | How often session events are processed for extraction. One minute is for this quickstart; use a longer production interval unless you need rapid extraction. |
 
 1. Select **Create**.
-1. Copy the Redis Agent Memory API key and store it securely.
+1. On the service's **Configuration** tab, select **Create API key** and [create a key](/content/operate/iris/agent-memory/create-service.md#connect-and-create-an-api-key) with access to the service. Copy the key and store it securely.
 
 > [!WARNING]
-> Redis Cloud displays the Redis Agent Memory API key only once. If you lose it, [generate a new API key]({{< relref "/operate/iris/agent-memory/view-service#replace-service-api-key" >}}).
+> Redis Cloud displays the API key's token only once. If you lose it, create a new key.
 
 The one-minute extraction interval makes the result easier to observe in this example. For screenshots and configuration details, see [create a Redis Agent Memory service]({{< relref "/operate/iris/agent-memory/create-service" >}}).

content/operate/iris/_index.md

@@ -1,6 +1,6 @@
 ---
 title: Redis Iris context engine
-description: Deploy and operate Redis Iris context engine services.
+description: Create, deploy, and operate Redis Iris context engine services on Redis Cloud or your own infrastructure.
 linkTitle: Redis Iris context engine
 alwaysopen: false
 categories:
@@ -11,25 +11,30 @@ hideListLinks: true
 weight: 45
 ---
 
-Redis Iris context engine provides managed and self-managed services for building AI applications with persistent memory, semantic caching, and governed access to business data.
+Redis Iris context engine provides managed and self-managed services that give AI agents persistent memory, answers and procedures your business approved, governed access to business data, and turn-by-turn tracing.
 
 Use this section to deploy, configure, and operate Redis Iris services. Developer guides and API integration documentation remain under [Develop with Redis]({{< relref "/develop/ai/context-engine" >}}).
 
 <div class="grid grid-cols-1 md:grid-cols-3 gap-6 my-8">
   {{< tile-card icon="images/dev/icons/icon-redis-agent-memory-64-duotone.png" title="Redis Agent Memory" description="Create and manage a service on Redis Cloud or deploy it on your own infrastructure" url="/operate/iris/agent-memory" >}}
-  {{< tile-card icon="images/dev/icons/icon-redis-iris-64-duotone.png" title="Redis Context Gateway" description="Deploy one MCP endpoint for your agents' tools on your own infrastructure" url="/operate/iris/context-gateway" >}}
+  {{< tile-card icon="images/dev/icons/icon-redis-iris-64-duotone.png" title="Redis Agent Playbooks" description="Create a playbook of approved answers and procedures on Redis Cloud" url="/operate/iris/agent-playbook" >}}
+  {{< tile-card icon="images/dev/icons/icon-redis-iris-64-duotone.png" title="Redis Context Gateway" description="Create one MCP endpoint for your agents' tools on Redis Cloud or your own infrastructure" url="/operate/iris/context-gateway" >}}
   {{< tile-card icon="images/dev/icons/icon-redis-iris-64-duotone.png" title="Redis Intent Router" description="Deploy a service that classifies requests into intents on your own infrastructure" url="/operate/iris/intent-router" >}}
+  {{< tile-card icon="images/dev/icons/icon-redis-iris-64-duotone.png" title="Lens" description="Trace your agents' turns on Redis Cloud" url="/operate/iris/lens" >}}
 </div>
 
 ## Deployment options
 
-Redis Iris services are available as managed services on Redis Cloud. All Redis Iris services are also available for self-managed deployment.
+Redis Iris services are available as managed services on Redis Cloud. Agent Memory and Context Gateway are also available for self-managed deployment.
 
 ### Redis Cloud
 
 Create and manage Redis Iris services through the Redis Cloud console without deploying the supporting infrastructure yourself.
 
 - [Create a Redis Agent Memory service]({{< relref "/operate/iris/agent-memory/create-service" >}})
+- [Create a Redis Agent Playbooks playbook]({{< relref "/operate/iris/agent-playbook/create-playbook" >}})
+- [Create a Redis Context Gateway]({{< relref "/operate/iris/context-gateway/create-gateway" >}})
+- [Create Lens]({{< relref "/operate/iris/lens/create-lens" >}})
 
 ### Self-managed
 

content/operate/iris/agent-memory/_index.md

@@ -13,9 +13,6 @@ hideListLinks: true
 
 Redis Agent Memory provides persistent session memory and long-term memory for AI agents and applications.
 
-![The Agent Memory page in the Redis Cloud console, with Quick create and Create custom service options.](/images/rc/agent-memory-get-started.png)
-{width="75%" class="border border-redis-pen-300 rounded-lg"}
-
 ## Deployment options
 
 ### Redis Cloud