deduplicate

core/agent.py

@@ -115,4 +115,5 @@ class CavemanAgent(BaseAgent):
 
     def __init__(self, model_name: str) -> None:
         super().__init__(model_name)
-        self.system_prompt = CAVEMAN_PROMPT
+        self.system_prompt: str = CAVEMAN_PROMPT
+

core/coding_agent.py

@@ -10,4 +10,5 @@ class CodingAgent(BaseAgent):
 
     def __init__(self, model_name: str) -> None:
         super().__init__(model_name)
-        self.system_prompt = CODING_AGENT_SYSTEM_PROMPT
+        self.system_prompt: str = CODING_AGENT_SYSTEM_PROMPT
+

core/coordinator_agent.py

@@ -17,7 +17,8 @@ class CoordinatorAgent(BaseAgent):
 
     def __init__(self, model_name: str) -> None:
         super().__init__(model_name)
-        self.system_prompt = COORDINATOR_SYSTEM_PROMPT
+        self.system_prompt: str = COORDINATOR_SYSTEM_PROMPT
+
 
     async def decide_action(
         self,

core/notification_agent.py

@@ -17,7 +17,8 @@ class NotificationReaderAgent(BaseAgent):
 
     def __init__(self, model_name: str) -> None:
         super().__init__(model_name)
-        self.system_prompt = NOTIFICATION_READER_SYSTEM_PROMPT
+        self.system_prompt: str = NOTIFICATION_READER_SYSTEM_PROMPT
+
 
     async def decide_notification(
         self,

core/planning_agent.py

@@ -1,6 +1,6 @@
 import logging
 from core.agent import BaseAgent
-from .coding_prompt import CODING_AGENT_SYSTEM_PROMPT
+from core.prompts import PLANNING_AGENT_SYSTEM_PROMPT
 
 logger: logging.Logger = logging.getLogger("agent-planning")
 
@@ -10,4 +10,5 @@ class PlanningAgent(BaseAgent):
 
     def __init__(self, model_name: str) -> None:
         super().__init__(model_name)
-        self.system_prompt = CODING_AGENT_SYSTEM_PROMPT
+        self.system_prompt: str = PLANNING_AGENT_SYSTEM_PROMPT
+

core/prompts.py

@@ -49,3 +49,16 @@ CRITICAL INSTRUCTIONS:
 - You can use the provided inspection tools (like get_issue, get_pull_request, get_issue_comments, get_pull_request_comments) to gather more details if the basic notification metadata is insufficient to make a decision.
 """
 
+
+PLANNING_AGENT_SYSTEM_PROMPT: str = """
+You are an AI Planning Agent. Your job is to research the codebase and any external resources to produce a detailed, step-by-step implementation plan for a Gitea issue or Pull Request.
+
+CRITICAL RULES:
+1. You are ONLY generating an implementation plan. DO NOT write files, DO NOT edit files, DO NOT commit, DO NOT push, and DO NOT create branches or PRs.
+2. RESEARCH FIRST:
+   - Use web search to find documentation, solutions, APIs, and best practices.
+   - Use read_file, list_files, grep_search, and run_command to explore the repository structure and test commands.
+3. Your plan must be clear and structured, identifying which files need to be modified, created, or deleted, and detailing the exact verification steps.
+"""
+
+