docs: align ACP agent example

sdk/guides/agent-acp.mdx

@@ -5,7 +5,7 @@
 
 > A ready-to-run example is available [here](#ready-to-run-example)!
 
 `ACPAgent` lets you use any [Agent Client Protocol](https://agentclientprotocol.com/protocol/overview) server as the backend for an OpenHands conversation. Instead of calling an LLM directly, the agent spawns an ACP server subprocess and communicates with it over JSON-RPC. The server manages its own LLM, tools, and execution — your code just sends messages and collects responses.
 
 ## Basic Usage
 
@@ -29,7 +29,7 @@
 **Key difference from standard agents:** With `ACPAgent`, you don't need an `LLM_API_KEY` in your code. The ACP server handles its own LLM authentication and API calls. This is *delegation* — your code sends messages to the ACP server, which manages all LLM interactions internally.
 </Note>
 
 ### What ACPAgent Does Not Support
 
 Because the ACP server manages its own tools and context, these `AgentBase` features are not available on `ACPAgent`:
 
@@ -43,7 +43,7 @@
 
 ## How It Works
 
 - **Subprocess delegation**: `ACPAgent` spawns the ACP server and communicates via JSON-RPC over stdin/stdout
 - **Server-managed execution**: The ACP server handles its own LLM calls, tools, and context — your code just sends messages
 - **Auto-approval**: Permission requests from the server are automatically granted, so ensure you trust the ACP server you're running
 - **Metrics collection**: Token usage and costs from the server are captured into the agent's `LLM.metrics`
@@ -84,7 +84,7 @@
 
 ## Cleanup
 
 Always call `agent.close()` when you are done to terminate the ACP server subprocess. A `try/finally` block is recommended:
 
 ```python icon="python"
 agent = ACPAgent(acp_command=["npx", "-y", "claude-code-acp"])
@@ -106,9 +106,7 @@
 """Example: Using ACPAgent with Claude Code ACP server.
 
 This example shows how to use an ACP-compatible server (claude-code-acp)
-as the agent backend instead of direct LLM calls.  It also demonstrates
-``ask_agent()`` — a stateless side-question that forks the ACP session
-and leaves the main conversation untouched.
+as the agent backend instead of direct LLM calls.
 
 Prerequisites:
     - Node.js / npx available
@@ -124,25 +122,17 @@
 from openhands.sdk.conversation import Conversation
 
 
-agent = ACPAgent(acp_command=["npx", "-y", "@zed-industries/claude-code-acp"])
+agent = ACPAgent(acp_command=["npx", "-y", "claude-code-acp"])
 
 try:
     cwd = os.getcwd()
     conversation = Conversation(agent=agent, workspace=cwd)
 
-    # --- Main conversation turn ---
     conversation.send_message(
         "List the Python source files under openhands-sdk/openhands/sdk/agent/, "
         "then read the __init__.py and summarize what agent classes are exported."
     )
     conversation.run()
-
-    # --- ask_agent: stateless side-question via fork_session ---
-    print("\n--- ask_agent ---")
-    response = conversation.ask_agent(
-        "Based on what you just saw, which agent class is the newest addition?"
-    )
-    print(f"ask_agent response: {response}")
 finally:
     # Clean up the ACP server subprocess
     agent.close()