Choose the relevant tools, such as a knowledge base, a search engine,…

… or a database, based on the task requirements and the agent's mode.

agent_configurator.py

@@ -3,6 +3,9 @@
 import pymongo
 
 from chatbot import Chatbot
+from database import Database
+from knowledge_base import KnowledgeBase
+from search_engine import SearchEngine
 from voice_assistant import VoiceAssistant
 from web_interface import WebInterface
 
@@ -11,16 +14,13 @@ class AgentConfigurator:
     def __init__(self):
         self.llm_models = {}
         self.human_input_sources = {}
+        self.tools = {}
         self.input_sources = ["text", "voice", "image"]
-        self.tools = ["NLTK", "spaCy", "gensim"]
 
     # Configure agent's parameters based on mode
     def configure_agent(self, agent_id, mode, source):
         # Select the appropriate LLM model based on the task requirements and the agent's mode
         llm_model = self._select_llm_model(mode, source)
-        input_source = self._select_input_source(mode)
-        tools = self._select_tools(mode)
-
         if not llm_model:
             print("Error: No compatible LLM model found.")
             return False
@@ -31,15 +31,19 @@ def configure_agent(self, agent_id, mode, source):
             print("Error: No compatible human input source found.")
             return False
 
-        if not llm_model or not input_source or not tools:
-            print("Error: Invalid mode for agent.")
+        # Choose the relevant tools based on the task requirements and the agent's mode
+        tools = self._choose_tools(mode)
+        if not tools:
+            print("Error: No compatible tools found.")
             return False
 
         # Configure agent's parameters based on mode and user's specifications
         if not self._configure_llm_model(agent_id, llm_model):
             return False
         if not self._configure_human_input_source(agent_id, human_input_source):
             return False
+        if not self._configure_tools(agent_id, tools):
+            return False
 
         return True
 
@@ -63,6 +67,18 @@ def _define_human_input_source(self, mode):
         if mode in self.human_input_sources:
             return self.human_input_sources[mode]
 
+    # Choose the relevant tools based on the task requirements and the agent's mode
+    def _choose_tools(self, mode):
+        # Check if tools have been loaded
+        if not self.tools:
+            self._load_tools(mode)
+
+        # Choose the relevant tools based on the task requirements and the agent's mode
+        if mode in self.tools:
+            return self.tools[mode]
+        else:
+            return None
+
     def _select_input_source(self, mode):
         if mode == "text":
             return "text"
@@ -142,3 +158,33 @@ def _configure_human_input_source(self, agent_id, human_input_source):
         # ...
 
         return True
+
+        # Load tools from database or file system
+
+    # Load tools from database or file system
+    def _load_tools(self, mode):
+        # Load tools from database or file system
+        # ...
+
+        # Choose relevant tools based on mode and task requirements
+        if mode == "mode1":
+            self.tools["knowledge_base"] = KnowledgeBase()
+        elif mode == "mode2":
+            self.tools["search_engine"] = SearchEngine()
+        elif mode == "mode3":
+            self.tools["database"] = Database()
+
+        # Store tools in dictionary
+        self.tools = {
+            "mode1": self.tools["knowledge_base"],
+            "mode2": self.tools["search_engine"],
+            "mode3": self.tools["database"],
+            # ...
+        }
+
+    # Configure agent's tools based on user's specifications
+    def _configure_tools(self, agent_id, tools):
+        # Configure agent's tools based on user's specifications
+        # ...
+
+        return True

database.py

@@ -0,0 +1,35 @@
+class Database:
+    def __init__(self):
+        self.connection = None
+        self.host = None
+        self.port = None
+        self.username = None
+        self.password = None
+        self.database_name = None
+
+    def connect(self):
+        if self.connection is not None:
+            raise ValueError("Already connected")
+
+        # Connect to the database using the configured parameters
+        # ...
+
+        self.connection = ...  # store the connection object
+
+    def disconnect(self):
+        if self.connection is None:
+            raise ValueError("Not connected")
+
+        # Disconnect from the database
+        # ...
+
+        self.connection = None
+
+    def execute_query(self, query):
+        if self.connection is None:
+            raise ValueError("Not connected")
+
+        # Execute the given query on the database and return the result
+        # ...
+
+        # return result

knowledge_base.py

@@ -0,0 +1,9 @@
+class KnowledgeBase:
+    def __init__(self):
+        self.data = {}
+
+    def add_data(self, key, value):
+        self.data[key] = value
+
+    def get_data(self, key):
+        return self.data.get(key)

search_engine.py

@@ -0,0 +1,19 @@
+class SearchEngine:
+    def __init__(self):
+        self.name = "search_engine"
+        self.parameters = {
+            "model": "BERT",
+            "input_source": "text",
+            "output_format": "text",
+            # ...
+        }
+        self.tools = {
+            "search_engine": {
+                "name": "Elasticsearch",
+                "version": "7.14.0",
+                "host": "localhost",
+                "port": 9200,
+                # ...
+            },
+            # ...
+        }