diff --git a/public/.well-known/skills/agents-sdk/references/codemode.md b/public/.well-known/skills/agents-sdk/references/codemode.md
index f95ab384443..b2a3719cb3a 100644
--- a/public/.well-known/skills/agents-sdk/references/codemode.md
+++ b/public/.well-known/skills/agents-sdk/references/codemode.md
@@ -118,6 +118,7 @@ export class MyAgent extends Agent<Env, State> {
     this.tools = { ...tools, ...this.mcp.getAITools() };
 
     const { prompt, tools: wrappedTools } = await codemode({
+      model: openai("gpt-4o"),  // Optional: defaults to openai("gpt-4.1")
       prompt: "You are a helpful assistant...",
       tools: this.tools,
       globalOutbound: env.globalOutbound,
@@ -143,6 +144,45 @@ export class MyAgent extends Agent<Env, State> {
 }
 ```
 
+## API Reference
+
+### `experimental_codemode(options)`
+
+Wraps your tools to enable code generation mode for the LLM.
+
+**Parameters:**
+
+- `options.model` (optional): `LanguageModel` - AI SDK-compatible model instance (defaults to `openai("gpt-4.1")`)
+- `options.tools`: `ToolSet` - Object containing tool definitions
+- `options.prompt`: `string` - System prompt for the agent
+- `options.globalOutbound`: `Fetcher` - Outbound fetch handler for security filtering
+- `options.loader`: `WorkerLoader` - Worker loader binding for dynamic code execution
+- `options.proxy`: `Fetcher<CodeModeProxy>` - Proxy for routing tool calls back to the agent
+
+**Returns:**
+
+```typescript
+Promise<{
+  prompt: string;
+  tools: ToolSet;
+}>
+```
+
+The returned `tools` should be used instead of your original tools when calling `streamText()`.
+
+**Example:**
+
+```typescript
+const { prompt, tools: wrappedTools } = await codemode({
+  model: openai("gpt-4o"),  // Optional: defaults to openai("gpt-4.1")
+  prompt: "You are a helpful assistant...",
+  tools: myTools,
+  globalOutbound: env.globalOutbound,
+  loader: env.LOADER,
+  proxy: this.ctx.exports.CodeModeProxy({ props: { ... } })
+});
+```
+
 ## Generated Code Example
 
 When user asks "Check the weather in NYC and email me the forecast", codemode generates:
@@ -199,6 +239,39 @@ async function executeTask() {
 | Token budget constrained | Yes |
 | Simple Q&A chat | No |
 
+## Model Configuration
+
+The `model` parameter is optional and defaults to `openai("gpt-4.1")`. You can specify any AI SDK-compatible model:
+
+```typescript
+import { openai } from "@ai-sdk/openai";
+import { anthropic } from "@ai-sdk/anthropic";
+
+// Using a different OpenAI model
+const { prompt, tools: wrappedTools } = await codemode({
+  model: openai("gpt-4o"),
+  prompt: "You are a helpful assistant...",
+  tools: myTools,
+  // ... other options
+});
+
+// Or use a different provider entirely
+const { prompt, tools: wrappedTools } = await codemode({
+  model: anthropic("claude-3-5-sonnet-20241022"),
+  prompt: "You are a helpful assistant...",
+  tools: myTools,
+  // ... other options
+});
+
+// Or omit to use the default
+const { prompt, tools: wrappedTools } = await codemode({
+  prompt: "You are a helpful assistant...",
+  tools: myTools,
+  // ... other options
+  // model defaults to openai("gpt-4.1")
+});
+```
+
 ## Limitations
 
 - Experimental - API may change