Include launch command after opencode configuration

Added instructions to launch after configuration.

docs/api/anthropic-compatibility.mdx

@@ -4,16 +4,6 @@ title: Anthropic compatibility
 
 Ollama provides compatibility with the [Anthropic Messages API](https://docs.anthropic.com/en/api/messages) to help connect existing applications to Ollama, including tools like Claude Code.
 
-## Recommended models
-
-For coding use cases, models like `glm-4.7:cloud`, `minimax-m2.1:cloud`, and `qwen3-coder` are recommended.
-
-Pull a model before use:
-```shell
-ollama pull qwen3-coder
-ollama pull glm-4.7:cloud
-```
-
 ## Usage
 
 ### Environment variables
@@ -22,8 +12,8 @@ To use Ollama with tools that expect the Anthropic API (like Claude Code), set t
 
 ```shell
 export ANTHROPIC_AUTH_TOKEN=ollama  # required but ignored
+export ANTHROPIC_API_KEY="" # required but ignored
 export ANTHROPIC_BASE_URL=http://localhost:11434
-export ANTHROPIC_API_KEY=ollama  # required but ignored
 ```
 
 ### Simple `/v1/messages` example
@@ -245,10 +235,41 @@ curl -X POST http://localhost:11434/v1/messages \
 
 ## Using with Claude Code
 
-[Claude Code](https://code.claude.com/docs/en/overview) can be configured to use Ollama as its backend:
+[Claude Code](https://code.claude.com/docs/en/overview) can be configured to use Ollama as its backend. 
+
+### Recommended models
+
+For coding use cases, models like `glm-4.7`, `minimax-m2.1`, and `qwen3-coder` are recommended.
+
+Download a model before use:
 
 ```shell
-ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_BASE_URL=http://localhost:11434 ANTHROPIC_API_KEY=ollama claude --model qwen3-coder
+ollama pull qwen3-coder
+```
+> Note: Qwen 3 coder is a 30B parameter model requiring at least 24GB of VRAM to run smoothly. More is required for longer context lengths. 
+
+```shell
+ollama pull glm-4.7:cloud
+```
+
+### Quick setup
+
+```shell
+ollama config claude
+```
+
+This will prompt you to select a model and configure Claude Code automatically. To launch after configuring:
+
+```shell
+ollama config claude --launch
+```
+
+### Manual setup
+
+Set the environment variables and run Claude Code:
+
+```shell
+ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_BASE_URL=http://localhost:11434 ANTHROPIC_API_KEY="" claude --model qwen3-coder
 ```
 
 Or set the environment variables in your shell profile:
@@ -256,19 +277,13 @@ Or set the environment variables in your shell profile:
 ```shell
 export ANTHROPIC_AUTH_TOKEN=ollama
 export ANTHROPIC_BASE_URL=http://localhost:11434
-export ANTHROPIC_API_KEY=ollama
+export ANTHROPIC_API_KEY=""
 ```
 
 Then run Claude Code with any Ollama model:
 
 ```shell
-# Local models
 claude --model qwen3-coder
-claude --model gpt-oss:20b
-
-# Cloud models
-claude --model glm-4.7:cloud
-claude --model minimax-m2.1:cloud
 ```
 
 ## Endpoints

docs/cli.mdx

@@ -8,6 +8,47 @@ title: CLI Reference
 ollama run gemma3
 ```
 
+### Configure integrations
+
+```
+ollama config
+```
+
+Configure external applications to use Ollama models. This provides an interactive way to set up integrations with supported apps.
+
+#### Supported integrations
+
+- **OpenCode** - Open-source coding assistant
+- **Claude Code** - Anthropic's agentic coding tool
+- **Codex** - OpenAI's coding assistant
+- **Droid** - Factory's AI coding agent
+
+#### Examples
+
+Configure an integration interactively:
+
+```
+ollama config
+```
+
+Configure a specific integration:
+
+```
+ollama config claude
+```
+
+Configure with a specific model:
+
+```
+ollama config claude --model qwen3-coder
+```
+
+Configure and launch:
+
+```
+ollama config droid --launch
+```
+
 #### Multiline input
 
 For multiline input, you can wrap text with `"""`:

docs/docs.json

@@ -107,6 +107,7 @@
               "/integrations/codex",
               "/integrations/cline",
               "/integrations/droid",
+              "/integrations/opencode",
               "/integrations/goose",
               "/integrations/zed",
               "/integrations/roo-code",

docs/integrations/claude-code.mdx

@@ -4,7 +4,7 @@ title: Claude Code
 
 Claude Code is Anthropic's agentic coding tool that can read, modify, and execute code in your working directory. 
 
-Open models can be used with Claude Code through Ollama's Anthropic-compatible API, enabling you to use models such as `qwen3-coder`, `gpt-oss:20b`, or other models.
+Open models can be used with Claude Code through Ollama's Anthropic-compatible API, enabling you to use models such as `glm-4.7`, `qwen3-coder`, `gpt-oss`. 
 
 ![Claude Code with Ollama](https://files.ollama.com/claude-code.png)
 
@@ -26,12 +26,29 @@ irm https://claude.ai/install.ps1 | iex
 
 ## Usage with Ollama
 
+### Quick setup
+
+```shell
+ollama config claude
+```
+
+To launch after configuration:
+
+```shell
+ollama config claude --launch
+```
+
+See [Quickstart](/quickstart#configure-coding-agents) for more options.
+
+### Manual setup
+
 Claude Code connects to Ollama using the Anthropic-compatible API.
 
 1. Set the environment variables:
 
 ```shell
 export ANTHROPIC_AUTH_TOKEN=ollama
+export ANTHROPIC_API_KEY=""
 export ANTHROPIC_BASE_URL=http://localhost:11434
 ```
 
@@ -44,35 +61,17 @@ claude --model gpt-oss:20b
 Or run with environment variables inline:
 
 ```shell
-ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_BASE_URL=http://localhost:11434 claude --model gpt-oss:20b
+ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_BASE_URL=http://localhost:11434 ANTHROPIC_API_KEY="" claude --model qwen3-coder 
 ```
 
-**Note:** Claude Code requires a large context window. We recommend at least 32K tokens. See the [context length documentation](/context-length) for how to adjust context length in Ollama.
-
-## Connecting to ollama.com
-
-1. Create an [API key](https://ollama.com/settings/keys) on ollama.com
-2. Set the environment variables:
-
-```shell
-export ANTHROPIC_BASE_URL=https://ollama.com
-export ANTHROPIC_API_KEY=<your-api-key>
-```
-
-3. Run Claude Code with a cloud model:
-
-```shell
-claude --model glm-4.7:cloud
-```
+**Note:** Claude Code requires a large context window. We recommend at least 64k tokens. See the [context length documentation](/context-length) for how to adjust context length in Ollama.
 
 ## Recommended Models
 
-### Cloud models
-- `glm-4.7:cloud` - High-performance cloud model
-- `minimax-m2.1:cloud` - Fast cloud model
-- `qwen3-coder:480b` - Large coding model
+- `qwen3-coder` 
+- `glm-4.7`
+- `gpt-oss:20b`
+- `gpt-oss:120b`
+
+Cloud models are also available at [ollama.com/search?c=cloud](https://ollama.com/search?c=cloud).
 
-### Local models
-- `qwen3-coder` - Excellent for coding tasks
-- `gpt-oss:20b` - Strong general-purpose model
-- `gpt-oss:120b` - Larger general-purpose model for more complex tasks

docs/integrations/codex.mdx

@@ -13,7 +13,23 @@ npm install -g @openai/codex
 
 ## Usage with Ollama
 
-<Note>Codex requires a larger context window. It is recommended to use a context window of at least 32K tokens.</Note>
+<Note>Codex requires a larger context window. It is recommended to use a context window of at least 64k tokens.</Note>
+
+### Quick setup
+
+```
+ollama config codex
+```
+
+To launch after configuration:
+
+```shell
+ollama config codex --launch
+```
+
+See [Quickstart](/quickstart#configure-coding-agents) for more options.
+
+### Manual setup
 
 To use `codex` with Ollama, use the `--oss` flag:
 

docs/integrations/droid.mdx

@@ -11,10 +11,26 @@ Install the [Droid CLI](https://factory.ai/):
 curl -fsSL https://app.factory.ai/cli | sh
 ```
 
-<Note>Droid requires a larger context window. It is recommended to use a context window of at least 32K tokens. See [Context length](/context-length) for more information.</Note>
+<Note>Droid requires a larger context window. It is recommended to use a context window of at least 64k tokens. See [Context length](/context-length) for more information.</Note>
 
 ## Usage with Ollama
 
+### Quick setup
+
+```bash
+ollama config droid
+```
+
+To launch after configuration:
+
+```shell
+ollama config droid --launch
+```
+
+See [Quickstart](/quickstart#configure-coding-agents) for more options.
+
+### Manual setup
+
 Add a local configuration block to `~/.factory/config.json`:
 
 ```json
@@ -73,4 +89,4 @@ Add the cloud configuration block to `~/.factory/config.json`:
    }
    ```
 
-Run `droid` in a new terminal to load the new settings.
+Run `droid` in a new terminal to load the new settings.

docs/integrations/opencode.mdx

@@ -0,0 +1,108 @@
+---
+title: OpenCode
+---
+
+OpenCode is an open-source AI coding assistant that runs in your terminal.
+
+## Install
+
+Install the [OpenCode CLI](https://opencode.ai):
+
+```bash
+curl -fsSL https://opencode.ai/install.sh | bash
+```
+
+<Note>OpenCode requires a larger context window. It is recommended to use a context window of at least 64k tokens. See [Context length](/context-length) for more information.</Note>
+
+## Usage with Ollama
+
+### Quick setup
+
+```bash
+ollama config opencode
+```
+
+To launch after configuration:
+
+```shell
+ollama config opencode --launch
+```
+
+See [Quickstart](/quickstart#configure-coding-agents) for more options.
+
+### Manual setup
+
+Add a configuration block to `~/.config/opencode/opencode.json`:
+
+```json
+{
+  "$schema": "https://opencode.ai/config.json",
+  "provider": {
+    "ollama": {
+      "npm": "@ai-sdk/openai-compatible",
+      "name": "Ollama (local)",
+      "options": {
+        "baseURL": "http://localhost:11434/v1"
+      },
+      "models": {
+        "qwen3-coder": {
+          "name": "qwen3-coder [Ollama]"
+        }
+      }
+    }
+  }
+}
+```
+
+## Cloud Models
+
+`qwen3-coder:480b-cloud` is the recommended model for use with OpenCode.
+
+Add the cloud configuration to `~/.config/opencode/opencode.json`:
+
+```json
+{
+  "$schema": "https://opencode.ai/config.json",
+  "provider": {
+    "ollama": {
+      "npm": "@ai-sdk/openai-compatible",
+      "name": "Ollama (local)",
+      "options": {
+        "baseURL": "http://localhost:11434/v1"
+      },
+      "models": {
+        "qwen3-coder:480b-cloud": {
+          "name": "qwen3-coder:480b-cloud [Ollama]"
+        }
+      }
+    }
+  }
+}
+```
+
+## Connecting to ollama.com
+
+1. Create an [API key](https://ollama.com/settings/keys) from ollama.com and export it as `OLLAMA_API_KEY`.
+2. Update `~/.config/opencode/opencode.json` to point to ollama.com:
+
+```json
+{
+  "$schema": "https://opencode.ai/config.json",
+  "provider": {
+    "ollama": {
+      "npm": "@ai-sdk/openai-compatible",
+      "name": "Ollama Cloud",
+      "options": {
+        "baseURL": "https://ollama.com/v1"
+      },
+      "models": {
+        "qwen3-coder:480b": {
+          "name": "qwen3-coder:480b [Ollama Cloud]"
+        }
+      }
+    }
+  }
+}
+```
+
+Run `opencode` in a new terminal to load the new settings.

docs/quickstart.mdx

@@ -101,3 +101,48 @@ This quickstart will walk your through running your first model with Ollama. To
 </Tabs>
 
 See a full list of available models [here](https://ollama.com/models).
+
+## Configure coding agents
+
+Use `ollama config` to quickly set up coding agents to use Ollama models:
+
+```
+ollama config
+```
+
+This will prompt you to select an integration and choose which models to use.
+
+### Supported integrations
+
+<CardGroup cols={2}>
+  <Card title="OpenCode" icon="laptop-code" href="/integrations/opencode">
+    Open-source coding assistant
+  </Card>
+  <Card title="Claude Code" icon="terminal" href="/integrations/claude-code">
+    Anthropic's agentic coding tool
+  </Card>
+  <Card title="Codex" icon="code" href="/integrations/codex">
+    OpenAI's coding assistant
+  </Card>
+  <Card title="Droid" icon="robot" href="/integrations/droid">
+    Factory's AI coding agent
+  </Card>
+</CardGroup>
+
+### Configure an integration
+
+```
+ollama config claude
+```
+
+### Configure with a specific model
+
+```
+ollama config claude --model qwen3-coder
+```
+
+### Launch an existing configuration
+
+```
+ollama config claude --launch
+```