add qwen docs

docs/content/docs/agent-sdk/supported-agents/computer-use-agents.mdx

@@ -77,10 +77,10 @@ async for _ in agent.run("Open Firefox and navigate to github.com"):
 
 Qwen3 VL family:
 
-- `openrouter/qwen/qwen3-vl-235b-a22b-instruct`
+- `cua/qwen/qwen3-vl-235b` (via CUA VLM Router - recommended)
 
 ```python
-agent = ComputerAgent("openrouter/qwen/qwen3-vl-235b-a22b-instruct", tools=[computer])
+agent = ComputerAgent("cua/qwen/qwen3-vl-235b", tools=[computer])
 async for _ in agent.run("Open Firefox and navigate to github.com"):
     pass
 ```

docs/content/docs/agent-sdk/supported-model-providers/cua-vlm-router.mdx

@@ -55,10 +55,12 @@ async for result in agent.run(messages):
 
 The CUA VLM Router currently supports these models:
 
-| Model ID                          | Provider  | Description       | Best For                           |
-| --------------------------------- | --------- | ----------------- | ---------------------------------- |
-| `cua/anthropic/claude-sonnet-4.5` | Anthropic | Claude Sonnet 4.5 | General-purpose tasks, recommended |
-| `cua/anthropic/claude-haiku-4.5`  | Anthropic | Claude Haiku 4.5  | Fast responses, cost-effective     |
+| Model ID                          | Provider  | Description       | Best For                                |
+| --------------------------------- | --------- | ----------------- | --------------------------------------- |
+| `cua/anthropic/claude-sonnet-4.5` | Anthropic | Claude Sonnet 4.5 | General-purpose tasks, recommended      |
+| `cua/anthropic/claude-opus-4.5`   | Anthropic | Claude Opus 4.5   | Enhanced agentic and computer-use tasks |
+| `cua/anthropic/claude-haiku-4.5`  | Anthropic | Claude Haiku 4.5  | Fast responses, cost-effective          |
+| `cua/qwen/qwen3-vl-235b`          | Qwen      | Qwen3 VL 235B     | Large-scale vision-language tasks       |
 
 ## How It Works
 
@@ -347,6 +349,52 @@ agent = ComputerAgent(
 )
 ```
 
+### Using Qwen3 VL 235B
+
+```python
+from agent import ComputerAgent
+from computer import Computer
+
+computer = Computer(os_type="linux", provider_type="docker")
+
+agent = ComputerAgent(
+    model="cua/qwen/qwen3-vl-235b",
+    tools=[computer],
+    only_n_most_recent_images=3
+)
+
+messages = [{"role": "user", "content": "Open a browser and search for Python tutorials"}]
+
+async for result in agent.run(messages):
+    print(result)
+```
+
+### Using Claude Opus 4.5
+
+```python
+from agent import ComputerAgent
+from computer import Computer
+
+computer = Computer(
+    os_type="linux",
+    provider_type="cloud",
+    name="your-container-name",
+    api_key="your-cua-api-key"
+)
+
+agent = ComputerAgent(
+    model="cua/anthropic/claude-opus-4.5",
+    tools=[computer],
+    instructions="You are a helpful assistant that can control computers",
+    only_n_most_recent_images=3
+)
+
+messages = [{"role": "user", "content": "Open a browser and search for Python tutorials"}]
+
+async for result in agent.run(messages):
+    print(result)
+```
+
 ## Migration from Direct Provider Access
 
 Switching from direct provider access (BYOK) to CUA VLM Router is simple:

docs/content/docs/get-started/quickstart.mdx

@@ -367,7 +367,9 @@ Choose how you want to access vision-language models for your agent:
 
     **Available CUA models:**
     - `cua/anthropic/claude-sonnet-4.5` - Claude Sonnet 4.5 (recommended)
-    - `cua/anthropic/claude-haiku-4.5` - Claude Haiku 4.5 (faster)
+    - `cua/anthropic/claude-opus-4.5` - Claude Opus 4.5 (enhanced agentic capabilities)
+    - `cua/anthropic/claude-haiku-4.5` - Claude Haiku 4.5 (faster, cost-effective)
+    - `cua/qwen/qwen3-vl-235b` - Qwen3 VL 235B (large-scale vision-language tasks)
 
     **Benefits:**
     - Single API key for multiple providers