51 lines
2.0 KiB
Python
51 lines
2.0 KiB
Python
import time
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import random
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import ai_client
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class UserSimAgent:
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def __init__(self, hook_client, model="gemini-2.5-flash-lite"):
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self.hook_client = hook_client
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self.model = model
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self.system_prompt = (
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"You are a software engineer testing an AI coding assistant called 'Manual Slop'. "
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"You want to build a small Python project and verify the assistant's capabilities. "
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"Keep your responses concise and human-like. "
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"Do not use markdown blocks for your main message unless you are providing code."
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)
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def generate_response(self, conversation_history):
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"""
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Generates a human-like response based on the conversation history.
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conversation_history: list of dicts with 'role' and 'content'
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"""
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# Format history for ai_client
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# ai_client expects md_content and user_message.
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# It handles its own internal history.
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# We want the 'User AI' to have context of what the 'Assistant AI' said.
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# For now, let's just use the last message from Assistant as the prompt.
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last_ai_msg = ""
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for entry in reversed(conversation_history):
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if entry.get('role') == 'AI':
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last_ai_msg = entry.get('content', '')
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break
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# We need to set a custom system prompt for the User Simulator
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try:
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ai_client.set_custom_system_prompt(self.system_prompt)
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# We'll use a blank md_content for now as the 'User' doesn't need to read its own files
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# via the same mechanism, but we could provide it if needed.
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response = ai_client.send(md_content="", user_message=last_ai_msg)
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finally:
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ai_client.set_custom_system_prompt("")
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return response
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def perform_action_with_delay(self, action_func, *args, **kwargs):
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"""
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Executes an action with a human-like delay.
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"""
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delay = random.uniform(0.5, 2.0)
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time.sleep(delay)
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return action_func(*args, **kwargs)
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