Planner agent structure

prompts/planner_agent.txt

@@ -0,0 +1,22 @@
+You are a planner agent.
+Your goal is to divide and conquer the task using the following agents:
+- Coder: An expert coder agent.
+- File: An expert agent for finding files.
+- Web: An expert agent for web search.
+
+Agents are other AI that obey your instructions.
+
+You will be given a task and you will need to divide it into smaller tasks and assign them to the agents.
+
+Here is an example:
+
+User:  Make a cool game to illustrate the current relation between USA and europe
+
+You:
+
+Sure, here is the plan:
+```plan
+Web(name="web1"): Search for the current relation between USA and europe
+Coder(name="coder1", need="web1"): Make a game to illustrate the current relation between USA and europe
+```
+

sources/agents/__init__.py

@@ -3,5 +3,6 @@ from .agent import Agent
 from .code_agent import CoderAgent
 from .casual_agent import CasualAgent
 from .file_agent import FileAgent
+from .planner_agent import PlannerAgent
 
-__all__ = ["Agent", "CoderAgent", "CasualAgent", "FileAgent"]
+__all__ = ["Agent", "CoderAgent", "CasualAgent", "FileAgent", "PlannerAgent"]

sources/agents/planner_agent.py

@@ -0,0 +1,39 @@
+
+from sources.utility import pretty_print
+from sources.agents.agent import Agent, CoderAgent, FileAgent
+
+class PlannerAgent(Agent):
+    def __init__(self, model, name, prompt_path, provider):
+        """
+        The planner agent is a special agent that divides and conquers the task.
+        """
+        super().__init__(model, name, prompt_path, provider)
+        self.tools = {
+        }
+        self.agents = {
+            "coder": CoderAgent(model, name, prompt_path, provider),
+            "file": FileAgent(model, name, prompt_path, provider)
+        }
+        self.role = "planning"
+    
+    def process(self, prompt, speech_module) -> str:
+        complete = False
+        exec_success = False
+        self.memory.push('user', prompt)
+
+        self.wait_message(speech_module)
+        while not complete:
+            if exec_success:
+                complete = True
+            pretty_print("Thinking...", color="status")
+            answer, reasoning = self.llm_request()
+            exec_success, _ = self.execute_modules(answer)
+            answer = self.remove_blocks(answer)
+            self.last_answer = answer
+        return answer, reasoning
+
+if __name__ == "__main__":
+    from llm_provider import Provider
+    server_provider = Provider("server", "deepseek-r1:14b", "192.168.1.100:5000")
+    agent = PlannerAgent("deepseek-r1:14b", "jarvis", "prompts/planner_agent.txt", server_provider)
+    ans = agent.process("Make a cool game to illustrate the current relation between USA and europe")