From d326242667d9ac994dcc07a75112ad0a2d8d9adf Mon Sep 17 00:00:00 2001
From: Ed_ <edwardgz@gmail.com>
Date: Mon, 23 Feb 2026 19:20:24 -0500
Subject: [PATCH] feat(simulation): implement UserSimAgent for human-like
 interaction

---
 simulation/user_agent.py | 47 ++++++++++++++++++++++++++++++++++++++++
 tests/test_user_agent.py | 22 +++++++++++++++++++
 2 files changed, 69 insertions(+)
 create mode 100644 simulation/user_agent.py
 create mode 100644 tests/test_user_agent.py

diff --git a/simulation/user_agent.py b/simulation/user_agent.py
new file mode 100644
index 0000000..6c661e5
--- /dev/null
+++ b/simulation/user_agent.py
@@ -0,0 +1,47 @@
+import time
+import random
+import ai_client
+
+class UserSimAgent:
+    def __init__(self, hook_client, model="gemini-2.0-flash"):
+        self.hook_client = hook_client
+        self.model = model
+        self.system_prompt = (
+            "You are a software engineer testing an AI coding assistant called 'Manual Slop'. "
+            "You want to build a small Python project and verify the assistant's capabilities. "
+            "Keep your responses concise and human-like. "
+            "Do not use markdown blocks for your main message unless you are providing code."
+        )
+
+    def generate_response(self, conversation_history):
+        """
+        Generates a human-like response based on the conversation history.
+        conversation_history: list of dicts with 'role' and 'content'
+        """
+        # Format history for ai_client
+        # ai_client expects md_content and user_message.
+        # It handles its own internal history.
+        # We want the 'User AI' to have context of what the 'Assistant AI' said.
+        
+        # For now, let's just use the last message from Assistant as the prompt.
+        last_ai_msg = ""
+        for entry in reversed(conversation_history):
+            if entry.get('role') == 'AI':
+                last_ai_msg = entry.get('content', '')
+                break
+        
+        # We need to set a custom system prompt for the User Simulator
+        ai_client.set_custom_system_prompt(self.system_prompt)
+        
+        # We'll use a blank md_content for now as the 'User' doesn't need to read its own files 
+        # via the same mechanism, but we could provide it if needed.
+        response = ai_client.send(md_content="", user_message=last_ai_msg)
+        return response
+
+    def perform_action_with_delay(self, action_func, *args, **kwargs):
+        """
+        Executes an action with a human-like delay.
+        """
+        delay = random.uniform(0.5, 2.0)
+        time.sleep(delay)
+        return action_func(*args, **kwargs)
diff --git a/tests/test_user_agent.py b/tests/test_user_agent.py
new file mode 100644
index 0000000..a2584d9
--- /dev/null
+++ b/tests/test_user_agent.py
@@ -0,0 +1,22 @@
+import pytest
+import sys
+import os
+
+# Ensure project root is in path for imports
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
+
+from simulation.user_agent import UserSimAgent
+
+def test_user_agent_instantiation():
+    agent = UserSimAgent(hook_client=None)
+    assert agent is not None
+
+def test_perform_action_with_delay():
+    agent = UserSimAgent(hook_client=None)
+    called = False
+    def action():
+        nonlocal called
+        called = True
+    
+    agent.perform_action_with_delay(action)
+    assert called is True