Fix: Pass full conversation context to web search enabled bots

Previously, when web search was enabled, only the current user message was
passed to the AI, discarding all prior conversation history. This caused
bots to lose context in multi-turn conversations.

Now uses the full message_list which contains the complete conversation
context (system message + prior messages + current query).

Also removes a broken test that tested legacy code (create_agent) that
no longer exists.

Author: tpaulshippy

back/bots/models/chat.py

@@ -122,14 +122,12 @@ def web_search(query: str) -> str:
             # Bind tools to the model for proper tool calling
             model_with_tools = chat_model.bind_tools(tools)
 
-            # Extract text input from message_list for agent
-            agent_input = self._extract_agent_input(message_list)
-            
-            logger.info(f"Invoking agent with input: {agent_input[:100]}...")
+            # Use the full message_list which already contains conversation history
+            logger.info(f"Invoking agent with full context ({len(message_list)} messages)")
             logger.info("🤖 AGENT_INVOKE_START: web_search tool available")
 
-            # Build and run the agent loop manually
-            messages = [SystemMessage(content=self.get_system_message()), HumanMessage(content=agent_input)]
+            # Build and run the agent loop manually with full conversation context
+            messages = message_list
 
             # Agentagent loop - keep invoking until no more tool calls
             max_iterations = 5

back/bots/tests/test_chat.py

@@ -124,46 +124,7 @@ def it_should_record_rate_limit_if_cost_goes_over_daily_limit(load_fixture, chat
             assert chat.user.user_account.usage_limit_hits.first().total_output_tokens == 3571500
             assert chat.user.user_account.usage_limit_hits.first().subscription_level == 1
 
-        def it_should_use_web_search_when_enabled():
-            from bots.models.bot import Bot
-            from unittest.mock import patch, MagicMock
-            from django.conf import settings
-            
-            call_command('loaddata', 'ai_models.json')
-            
-            user = User.objects.create()
-            bot = Bot.objects.create(
-                user=user,
-                name="Test Bot",
-                enable_web_search=True,
-                system_prompt="You are a helpful assistant."
-            )
-            chat = Chat.objects.create(user=user, bot=bot)
-            
-            mock_ai = MagicMock()
-            mock_response = MagicMock()
-            mock_response.content = "Web search result"
-            mock_response.usage_metadata = {'input_tokens': 1, 'output_tokens': 2}
-            mock_ai.invoke = MagicMock(return_value=mock_response)
-            
-            with patch.object(settings, 'TAVILY_API_KEY', 'test-api-key'):
-                with patch('bots.models.chat.TavilyClient') as mock_tavily:
-                    with patch('bots.models.chat.ChatBedrock') as mock_chat_bedrock:
-                        mock_tavily_instance = MagicMock()
-                        mock_tavily.return_value = mock_tavily_instance
-                        
-                        mock_chat_instance = MagicMock()
-                        mock_chat_bedrock.return_value = mock_chat_instance
-                        
-                        with patch('bots.models.chat.create_agent') as mock_create_agent:
-                            mock_executor = MagicMock()
-                            mock_executor.invoke = MagicMock(return_value={'output': 'Web search result'})
-                            mock_create_agent.return_value = mock_executor
-                            
-                            chat.messages.create(text="What's the latest news?", role="user")
-                            chat.get_response(ai=mock_ai)
-                            
-                            assert mock_tavily.called
+        
 
         def it_should_not_use_web_search_when_disabled(load_fixture, chat, ai, ai_output):
             from bots.models.bot import Bot