Add tool to create AI agent

- For now the tool can only create an ollama agent.

.gitignore

@@ -1,4 +1,4 @@
-venv/
+*venv/
 __pycache__/
 *.pyc
 .env

CEO/toolLoader.py

@@ -5,7 +5,7 @@ import pip
 
 toolsImported = []
 
-TOOLS_DIRECTORY = 'D:/Projects/AI/HASHIRU/tools'
+TOOLS_DIRECTORY = os.path.abspath("../tools")
 
 class Tool:
     def __init__(self, toolClass):
@@ -62,5 +62,5 @@ class ToolLoader:
 toolLoader = ToolLoader()
 
 # Example usage
-# print(toolLoader.getTools())
-# print(toolLoader.runTool("WeatherApi", {"location": "Davis"}))
+print(toolLoader.getTools())
+print(toolLoader.runTool("AgentCreator", {"agent_name": "Kunla","base_model":"llama3.2","system_prompt": "You love making the indian dish called Kulcha. You declare that in every conversation you have in a witty way." }))

tools/agent_creater_tool.py

@@ -0,0 +1,74 @@
+import importlib
+
+__all__ = ['AgentCreator']
+
+class AgentCreator():
+    dependencies = ["ollama==0.4.7",
+                    "pydantic==2.11.1",
+                    "pydantic_core==2.33.0"]
+
+    inputSchema = {
+        "name": "AgentCreator",
+        "description": "Creates an AI agent for an given AI model with a given system prompt",
+        "parameters": {
+            "type": "object",
+            "properties":{
+                "agent_name": {
+                    "type": "string",
+                    "description": "Name of the AI agent that is to be created"
+                },
+                "base_model": {
+                    "type": "string",
+                    "description": "A base model from which the new agent mode is to be created"
+                },
+                "system_prompt": {
+                    "type": "string",
+                    "description": "A string containing the system prompt for the AI agent"
+                }
+            }
+        }
+    }
+
+    def __init__(self):
+        pass
+    
+    def does_agent_exist(self, agent_name):
+        ollama = importlib.import_module("ollama")
+        all_agents = [a.model for a in ollama.list().models]
+        if agent_name in all_agents or f'{agent_name}:latest' in all_agents:
+            return True 
+        
+        return False
+
+    def run(self, **kwargs):
+        print("Running Agent Creator")
+        agent_name= kwargs.get("agent_name")
+        base_model = kwargs.get("base_model")
+        system_prompt = kwargs.get("system_prompt")
+        ollama = importlib.import_module("ollama")
+
+        if self.does_agent_exist(agent_name):
+            return {
+                "status": "error",
+                "message": "Agent already exists",
+                "output": None
+            }
+        ollama_response = ollama.create(
+            model = agent_name,
+            from_ = base_model,
+            system = system_prompt,
+            stream = False
+        )
+
+        if "success" in ollama_response["status"]:
+            return {
+                "status": "success",
+                "message": "Agent successfully created",
+                "output": None
+            }
+        else:
+            return {
+                "status": "error",
+                "message": "Agent creation failed",
+                "output": None
+            }