docs: update instructions for ollama config command

These tools can be automatically configured using the new ollama config command

docs/integrations/claude-code.mdx

@@ -2,7 +2,7 @@
 title: Claude Code
 ---
 
-Claude Code is Anthropic's agentic coding tool that can read, modify, and execute code in your working directory. 
+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.
 
@@ -26,6 +26,16 @@ irm https://claude.ai/install.ps1 | iex
 
 ## Usage with Ollama
 
+Configure Claude Code to use Ollama:
+
+```shell
+ollama config claude
+```
+
+This will prompt you to select a model and automatically configure Claude Code to use Ollama.
+
+<Accordion title="Manual Configuration">
+
 Claude Code connects to Ollama using the Anthropic-compatible API.
 
 1. Set the environment variables:
@@ -47,7 +57,9 @@ Or run with environment variables inline:
 ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_BASE_URL=http://localhost:11434 claude --model gpt-oss:20b
 ```
 
-**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.
+</Accordion>
+
+<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.</Note>
 
 ## Connecting to ollama.com
 
@@ -75,4 +87,4 @@ claude --model glm-4.7: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
+- `gpt-oss:120b` - Larger general-purpose model for more complex tasks

docs/integrations/codex.mdx

@@ -2,22 +2,31 @@
 title: Codex
 ---
 
+Codex is OpenAI's agentic coding tool for the command line.
 
 ## Install
 
 Install the [Codex CLI](https://developers.openai.com/codex/cli/):
 
-```
+```shell
 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>
+Configure Codex to use Ollama:
+
+```shell
+ollama config codex
+```
+
+This will prompt you to select a model and automatically configure Codex to use Ollama.
+
+<Accordion title="Manual Configuration">
 
 To use `codex` with Ollama, use the `--oss` flag:
 
-```
+```shell
 codex --oss
 ```
 
@@ -25,20 +34,22 @@ codex --oss
 
 By default, codex will use the local `gpt-oss:20b` model. However, you can specify a different model with the `-m` flag:
 
-```
+```shell
 codex --oss -m gpt-oss:120b
 ```
 
 ### Cloud Models
 
-```
+```shell
 codex --oss -m gpt-oss:120b-cloud
 ```
 
+</Accordion>
+
+<Note>Codex requires a larger context window. It is recommended to use a context window of at least 32K tokens.</Note>
 
 ## Connecting to ollama.com
 
-
 Create an [API key](https://ollama.com/settings/keys) from ollama.com and export it as `OLLAMA_API_KEY`.
 
 To use ollama.com directly, edit your `~/.codex/config.toml` file to point to ollama.com.

docs/integrations/droid.mdx

@@ -2,6 +2,7 @@
 title: Droid
 ---
 
+Droid is Factory's agentic coding tool for the command line.
 
 ## Install
 
@@ -11,66 +12,80 @@ 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>
-
 ## Usage with Ollama
 
-Add a local configuration block to `~/.factory/config.json`:
+Configure Droid to use Ollama:
+
+```shell
+ollama config droid
+```
+
+This will prompt you to select models and automatically configure Droid to use Ollama.
+
+<Accordion title="Manual Configuration">
+
+Add a local configuration block to `~/.factory/settings.json`:
 
 ```json
 {
-  "custom_models": [
+  "customModels": [
     {
-      "model_display_name": "qwen3-coder [Ollama]",
       "model": "qwen3-coder",
-      "base_url": "http://localhost:11434/v1/",
-      "api_key": "not-needed",
+      "displayName": "qwen3-coder [Ollama]",
+      "baseUrl": "http://localhost:11434/v1",
+      "apiKey": "ollama",
       "provider": "generic-chat-completion-api",
-      "max_tokens": 32000 
+      "maxOutputTokens": 32000
     }
   ]
 }
 ```
 
+Adjust `maxOutputTokens` based on your model's context length (the automated setup detects this automatically).
+
+### Cloud Models
 
-## Cloud Models
 `qwen3-coder:480b-cloud` is the recommended model for use with Droid.
 
-Add the cloud configuration block to `~/.factory/config.json`:
+Add the cloud configuration block to `~/.factory/settings.json`:
 
 ```json
 {
-  "custom_models": [
+  "customModels": [
     {
-      "model_display_name": "qwen3-coder [Ollama Cloud]",
       "model": "qwen3-coder:480b-cloud",
-      "base_url": "http://localhost:11434/v1/",
-      "api_key": "not-needed",
+      "displayName": "qwen3-coder:480b-cloud [Ollama]",
+      "baseUrl": "http://localhost:11434/v1",
+      "apiKey": "ollama",
       "provider": "generic-chat-completion-api",
-      "max_tokens": 128000
+      "maxOutputTokens": 128000
     }
   ]
 }
 ```
 
+</Accordion>
+
+<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>
+
 ## 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. Add the cloud configuration block to `~/.factory/config.json`:
+2. Add the cloud configuration block to `~/.factory/settings.json`:
 
    ```json
    {
-     "custom_models": [
+     "customModels": [
        {
-         "model_display_name": "qwen3-coder [Ollama Cloud]",
          "model": "qwen3-coder:480b",
-         "base_url": "https://ollama.com/v1/",
-         "api_key": "OLLAMA_API_KEY",
+         "displayName": "qwen3-coder:480b [Ollama Cloud]",
+         "baseUrl": "https://ollama.com/v1",
+         "apiKey": "OLLAMA_API_KEY",
          "provider": "generic-chat-completion-api",
-         "max_tokens": 128000
+         "maxOutputTokens": 128000
        }
      ]
    }
    ```
 
-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 +1,63 @@
+---
+title: OpenCode
+---
+
+OpenCode is an agentic coding tool for the terminal.
+
+## Install
+
+Install [OpenCode](https://opencode.ai):
+
+```shell
+curl -fsSL https://opencode.ai/install | bash
+```
+
+## Usage with Ollama
+
+Configure OpenCode to use Ollama:
+
+```shell
+ollama config opencode
+```
+
+This will prompt you to select models and automatically configure OpenCode to use Ollama.
+
+<Accordion title="Manual Configuration">
+
+Add the Ollama provider 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]"
+        }
+      }
+    }
+  }
+}
+```
+
+</Accordion>
+
+<Note>OpenCode 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>
+
+## Recommended Models
+
+### Cloud models
+- `qwen3-coder:480b` - Large coding model
+- `glm-4.7:cloud` - High-performance cloud model
+- `minimax-m2.1:cloud` - Fast cloud model
+
+### 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