Updates to sync 0.4.1 to master

autogpt/app.py

@@ -3,12 +3,6 @@ import json
 from typing import Dict
 
 from autogpt.agent.agent import Agent
-from autogpt.agent.agent_manager import AgentManager
-from autogpt.commands.command import command
-from autogpt.commands.web_requests import scrape_links, scrape_text
-from autogpt.processing.text import summarize_text
-from autogpt.speech import say_text
-from autogpt.url_utils.validators import validate_url
 
 
 def is_valid_int(value: str) -> bool:

tests/unit/test_api_manager.py

@@ -1,4 +1,4 @@
-from unittest.mock import patch
+from unittest.mock import MagicMock, patch
 
 import pytest
 from pytest_mock import MockerFixture
@@ -29,6 +29,68 @@ def mock_costs(mocker: MockerFixture):
 
 
 class TestApiManager:
+    @staticmethod
+    def test_create_chat_completion_debug_mode(caplog):
+        """Test if debug mode logs response."""
+        api_manager_debug = ApiManager(debug=True)
+        messages = [
+            {"role": "system", "content": "You are a helpful assistant."},
+            {"role": "user", "content": "Who won the world series in 2020?"},
+        ]
+        model = "gpt-3.5-turbo"
+
+        with patch("openai.ChatCompletion.create") as mock_create:
+            mock_response = MagicMock()
+            del mock_response.error
+            mock_response.usage.prompt_tokens = 10
+            mock_response.usage.completion_tokens = 20
+            mock_create.return_value = mock_response
+
+            api_manager_debug.create_chat_completion(messages, model=model)
+
+            assert "Response" in caplog.text
+
+    @staticmethod
+    def test_create_chat_completion_empty_messages():
+        """Test if empty messages result in zero tokens and cost."""
+        messages = []
+        model = "gpt-3.5-turbo"
+
+        with patch("openai.ChatCompletion.create") as mock_create:
+            mock_response = MagicMock()
+            del mock_response.error
+            mock_response.usage.prompt_tokens = 0
+            mock_response.usage.completion_tokens = 0
+            mock_create.return_value = mock_response
+
+            api_manager.create_chat_completion(messages, model=model)
+
+            assert api_manager.get_total_prompt_tokens() == 0
+            assert api_manager.get_total_completion_tokens() == 0
+            assert api_manager.get_total_cost() == 0
+
+    @staticmethod
+    def test_create_chat_completion_valid_inputs():
+        """Test if valid inputs result in correct tokens and cost."""
+        messages = [
+            {"role": "system", "content": "You are a helpful assistant."},
+            {"role": "user", "content": "Who won the world series in 2020?"},
+        ]
+        model = "gpt-3.5-turbo"
+
+        with patch("openai.ChatCompletion.create") as mock_create:
+            mock_response = MagicMock()
+            del mock_response.error
+            mock_response.usage.prompt_tokens = 10
+            mock_response.usage.completion_tokens = 20
+            mock_create.return_value = mock_response
+
+            api_manager.create_chat_completion(messages, model=model)
+
+            assert api_manager.get_total_prompt_tokens() == 10
+            assert api_manager.get_total_completion_tokens() == 20
+            assert api_manager.get_total_cost() == (10 * 0.0013 + 20 * 0.0025) / 1000
+
     def test_getter_methods(self):
         """Test the getter methods for total tokens, cost, and budget."""
         api_manager.update_cost(600, 1200, "gpt-3.5-turbo")