diff --git a/swarms/models/ssd_1b.py b/swarms/models/ssd_1b.py
index ca1a5d32..9cf53c8e 100644
--- a/swarms/models/ssd_1b.py
+++ b/swarms/models/ssd_1b.py
@@ -232,8 +232,10 @@ class SSD1B:
                 except Exception as error:
                     print(
                         colored(
-                            f"Error running SSD1B: {error} try optimizing"
-                            " your api key and or try again",
+                            (
+                                f"Error running SSD1B: {error} try optimizing"
+                                " your api key and or try again"
+                            ),
                             "red",
                         )
                     )
diff --git a/tests/agents/test_idea_to_image.py b/tests/agents/test_idea_to_image.py
new file mode 100644
index 00000000..7aecd5c5
--- /dev/null
+++ b/tests/agents/test_idea_to_image.py
@@ -0,0 +1,65 @@
+import pytest
+import os
+import shutil
+from swarms.agents.idea_to_image_agent import Idea2Image
+
+openai_key = os.getenv("OPENAI_API_KEY")
+dalle_cookie = os.getenv("BING_COOKIE")
+
+# Constants for testing
+TEST_PROMPT = "Happy fish."
+TEST_OUTPUT_FOLDER = "test_images/"
+OPENAI_API_KEY = openai_key
+DALLE_COOKIE = dalle_cookie
+
+
+@pytest.fixture(scope="module")
+def idea2image_instance():
+    # Create an instance of the Idea2Image class
+    idea2image = Idea2Image(
+        image=TEST_PROMPT,
+        openai_api_key=OPENAI_API_KEY,
+        cookie=DALLE_COOKIE,
+        output_folder=TEST_OUTPUT_FOLDER,
+    )
+    yield idea2image
+    # Clean up the test output folder after testing
+    if os.path.exists(TEST_OUTPUT_FOLDER):
+        shutil.rmtree(TEST_OUTPUT_FOLDER)
+
+
+def test_idea2image_instance(idea2image_instance):
+    # Check if the instance is created successfully
+    assert isinstance(idea2image_instance, Idea2Image)
+
+
+def test_llm_prompt(idea2image_instance):
+    # Test the llm_prompt method
+    prompt = idea2image_instance.llm_prompt()
+    assert isinstance(prompt, str)
+
+
+def test_generate_image(idea2image_instance):
+    # Test the generate_image method
+    idea2image_instance.generate_image()
+    # Check if the output folder is created
+    assert os.path.exists(TEST_OUTPUT_FOLDER)
+    # Check if files are downloaded (assuming DALLE-3 responds with URLs)
+    files = os.listdir(TEST_OUTPUT_FOLDER)
+    assert len(files) > 0
+
+
+def test_invalid_openai_api_key():
+    # Test with an invalid OpenAI API key
+    with pytest.raises(Exception) as exc_info:
+        Idea2Image(
+            image=TEST_PROMPT,
+            openai_api_key="invalid_api_key",
+            cookie=DALLE_COOKIE,
+            output_folder=TEST_OUTPUT_FOLDER,
+        )
+    assert "Failed to initialize OpenAIChat" in str(exc_info.value)
+
+
+if __name__ == "__main__":
+    pytest.main()
diff --git a/tests/agents/omni_modal.py b/tests/agents/test_omni_modal.py
similarity index 100%
rename from tests/agents/omni_modal.py
rename to tests/agents/test_omni_modal.py
diff --git a/tests/embeddings/test_pegasus.py b/tests/embeddings/test_pegasus.py
new file mode 100644
index 00000000..e9632eae
--- /dev/null
+++ b/tests/embeddings/test_pegasus.py
@@ -0,0 +1,33 @@
+import pytest
+from unittest.mock import patch
+from swarms.models.pegasus import PegasusEmbedding
+
+
+def test_init():
+    with patch("your_module.Pegasus") as MockPegasus:
+        embedder = PegasusEmbedding(modality="text")
+        MockPegasus.assert_called_once()
+        assert embedder.pegasus == MockPegasus.return_value
+
+
+def test_init_exception():
+    with patch("your_module.Pegasus", side_effect=Exception("Test exception")):
+        with pytest.raises(Exception) as e:
+            PegasusEmbedding(modality="text")
+        assert str(e.value) == "Test exception"
+
+
+def test_embed():
+    with patch("your_module.Pegasus") as MockPegasus:
+        embedder = PegasusEmbedding(modality="text")
+        embedder.embed("Hello world")
+        MockPegasus.return_value.embed.assert_called_once()
+
+
+def test_embed_exception():
+    with patch("your_module.Pegasus") as MockPegasus:
+        MockPegasus.return_value.embed.side_effect = Exception("Test exception")
+        embedder = PegasusEmbedding(modality="text")
+        with pytest.raises(Exception) as e:
+            embedder.embed("Hello world")
+        assert str(e.value) == "Test exception"
diff --git a/tests/memory/test_main.py b/tests/memory/test_main.py
new file mode 100644
index 00000000..851de26a
--- /dev/null
+++ b/tests/memory/test_main.py
@@ -0,0 +1,52 @@
+import pytest
+from unittest.mock import Mock
+from swarms.memory.ocean import OceanDB
+
+
+@pytest.fixture
+def mock_ocean_client():
+    return Mock()
+
+
+@pytest.fixture
+def mock_collection():
+    return Mock()
+
+
+@pytest.fixture
+def ocean_db(mock_ocean_client):
+    OceanDB.client = mock_ocean_client
+    return OceanDB()
+
+
+def test_init(ocean_db, mock_ocean_client):
+    mock_ocean_client.heartbeat.return_value = "OK"
+    assert ocean_db.client.heartbeat() == "OK"
+
+
+def test_create_collection(ocean_db, mock_ocean_client, mock_collection):
+    mock_ocean_client.create_collection.return_value = mock_collection
+    collection = ocean_db.create_collection("test", "text")
+    assert collection == mock_collection
+
+
+def test_append_document(ocean_db, mock_collection):
+    document = "test_document"
+    id = "test_id"
+    ocean_db.append_document(mock_collection, document, id)
+    mock_collection.add.assert_called_once_with(documents=[document], ids=[id])
+
+
+def test_add_documents(ocean_db, mock_collection):
+    documents = ["test_document1", "test_document2"]
+    ids = ["test_id1", "test_id2"]
+    ocean_db.add_documents(mock_collection, documents, ids)
+    mock_collection.add.assert_called_once_with(documents=documents, ids=ids)
+
+
+def test_query(ocean_db, mock_collection):
+    query_texts = ["test_query"]
+    n_results = 10
+    mock_collection.query.return_value = "query_result"
+    result = ocean_db.query(mock_collection, query_texts, n_results)
+    assert result == "query_result"
diff --git a/tests/memory/oceandb.py b/tests/memory/test_oceandb.py
similarity index 100%
rename from tests/memory/oceandb.py
rename to tests/memory/test_oceandb.py
diff --git a/tests/models/bingchat.py b/tests/models/test_bingchat.py
similarity index 100%
rename from tests/models/bingchat.py
rename to tests/models/test_bingchat.py
diff --git a/tests/models/gpt4v.py b/tests/models/test_gpt4v.py
similarity index 100%
rename from tests/models/gpt4v.py
rename to tests/models/test_gpt4v.py
diff --git a/tests/models/revgptv1.py b/tests/models/test_revgptv1.py
similarity index 100%
rename from tests/models/revgptv1.py
rename to tests/models/test_revgptv1.py
diff --git a/tests/models/test_revgptv4.py b/tests/models/test_revgptv4.py
new file mode 100644
index 00000000..7a40ab30
--- /dev/null
+++ b/tests/models/test_revgptv4.py
@@ -0,0 +1,93 @@
+import unittest
+from unittest.mock import patch
+from RevChatGPTModelv4 import RevChatGPTModelv4
+
+
+class TestRevChatGPT(unittest.TestCase):
+    def setUp(self):
+        self.access_token = "123"
+        self.model = RevChatGPTModelv4(access_token=self.access_token)
+
+    def test_run(self):
+        prompt = "What is the capital of France?"
+        self.model.start_time = 10
+        self.model.end_time = 20
+        response = self.model.run(prompt)
+        self.assertEqual(response, "The capital of France is Paris.")
+        self.assertEqual(self.model.start_time, 10)
+        self.assertEqual(self.model.end_time, 20)
+
+    def test_generate_summary(self):
+        text = "Hello world. This is some text. It has multiple sentences."
+        summary = self.model.generate_summary(text)
+        self.assertEqual(summary, "")
+
+    @patch("RevChatGPTModelv4.Chatbot.install_plugin")
+    def test_enable_plugin(self, mock_install_plugin):
+        plugin_id = "plugin123"
+        self.model.enable_plugin(plugin_id)
+        mock_install_plugin.assert_called_with(plugin_id=plugin_id)
+
+    @patch("RevChatGPTModelv4.Chatbot.get_plugins")
+    def test_list_plugins(self, mock_get_plugins):
+        mock_get_plugins.return_value = [{"id": "123", "name": "Test Plugin"}]
+        plugins = self.model.list_plugins()
+        self.assertEqual(len(plugins), 1)
+        self.assertEqual(plugins[0]["id"], "123")
+        self.assertEqual(plugins[0]["name"], "Test Plugin")
+
+    @patch("RevChatGPTModelv4.Chatbot.get_conversations")
+    def test_get_conversations(self, mock_get_conversations):
+        self.model.chatbot.get_conversations()
+        mock_get_conversations.assert_called()
+
+    @patch("RevChatGPTModelv4.Chatbot.get_msg_history")
+    def test_get_msg_history(self, mock_get_msg_history):
+        convo_id = "123"
+        self.model.chatbot.get_msg_history(convo_id)
+        mock_get_msg_history.assert_called_with(convo_id)
+
+    @patch("RevChatGPTModelv4.Chatbot.share_conversation")
+    def test_share_conversation(self, mock_share_conversation):
+        self.model.chatbot.share_conversation()
+        mock_share_conversation.assert_called()
+
+    @patch("RevChatGPTModelv4.Chatbot.gen_title")
+    def test_gen_title(self, mock_gen_title):
+        convo_id = "123"
+        message_id = "456"
+        self.model.chatbot.gen_title(convo_id, message_id)
+        mock_gen_title.assert_called_with(convo_id, message_id)
+
+    @patch("RevChatGPTModelv4.Chatbot.change_title")
+    def test_change_title(self, mock_change_title):
+        convo_id = "123"
+        title = "New Title"
+        self.model.chatbot.change_title(convo_id, title)
+        mock_change_title.assert_called_with(convo_id, title)
+
+    @patch("RevChatGPTModelv4.Chatbot.delete_conversation")
+    def test_delete_conversation(self, mock_delete_conversation):
+        convo_id = "123"
+        self.model.chatbot.delete_conversation(convo_id)
+        mock_delete_conversation.assert_called_with(convo_id)
+
+    @patch("RevChatGPTModelv4.Chatbot.clear_conversations")
+    def test_clear_conversations(self, mock_clear_conversations):
+        self.model.chatbot.clear_conversations()
+        mock_clear_conversations.assert_called()
+
+    @patch("RevChatGPTModelv4.Chatbot.rollback_conversation")
+    def test_rollback_conversation(self, mock_rollback_conversation):
+        num = 2
+        self.model.chatbot.rollback_conversation(num)
+        mock_rollback_conversation.assert_called_with(num)
+
+    @patch("RevChatGPTModelv4.Chatbot.reset_chat")
+    def test_reset_chat(self, mock_reset_chat):
+        self.model.chatbot.reset_chat()
+        mock_reset_chat.assert_called()
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/tests/structs/test_flow.py b/tests/structs/test_flow.py
new file mode 100644
index 00000000..de055d52
--- /dev/null
+++ b/tests/structs/test_flow.py
@@ -0,0 +1,1313 @@
+import json
+import os
+from unittest import mock
+from unittest.mock import MagicMock, patch
+
+import pytest
+from dotenv import load_dotenv
+
+from swarms.models import OpenAIChat
+from swarms.structs.agent import Agent, stop_when_repeats
+from swarms.utils.logger import logger
+
+load_dotenv()
+
+openai_api_key = os.getenv("OPENAI_API_KEY")
+
+
+# Mocks and Fixtures
+@pytest.fixture
+def mocked_llm():
+    return OpenAIChat(
+        openai_api_key=openai_api_key,
+    )
+
+
+@pytest.fixture
+def basic_flow(mocked_llm):
+    return Agent(llm=mocked_llm, max_loops=5)
+
+
+@pytest.fixture
+def flow_with_condition(mocked_llm):
+    return Flow(
+        llm=mocked_llm, max_loops=5, stopping_condition=stop_when_repeats
+    )
+
+
+# Basic Tests
+def test_stop_when_repeats():
+    assert stop_when_repeats("Please Stop now")
+    assert not stop_when_repeats("Continue the process")
+
+
+def test_flow_initialization(basic_flow):
+    assert basic_flow.max_loops == 5
+    assert basic_flow.stopping_condition is None
+    assert basic_flow.loop_interval == 1
+    assert basic_flow.retry_attempts == 3
+    assert basic_flow.retry_interval == 1
+    assert basic_flow.feedback == []
+    assert basic_flow.memory == []
+    assert basic_flow.task is None
+    assert basic_flow.stopping_token == "<DONE>"
+    assert not basic_flow.interactive
+
+
+def test_provide_feedback(basic_flow):
+    feedback = "Test feedback"
+    basic_flow.provide_feedback(feedback)
+    assert feedback in basic_flow.feedback
+
+
+@patch("time.sleep", return_value=None)  # to speed up tests
+def test_run_without_stopping_condition(mocked_sleep, basic_flow):
+    response = basic_flow.run("Test task")
+    assert (
+        response == "Test task"
+    )  # since our mocked llm doesn't modify the response
+
+
+@patch("time.sleep", return_value=None)  # to speed up tests
+def test_run_with_stopping_condition(
+    mocked_sleep, flow_with_condition
+):
+    response = flow_with_condition.run("Stop")
+    assert response == "Stop"
+
+
+@patch("time.sleep", return_value=None)  # to speed up tests
+def test_run_with_exception(mocked_sleep, basic_flow):
+    basic_flow.llm.side_effect = Exception("Test Exception")
+    with pytest.raises(Exception, match="Test Exception"):
+        basic_flow.run("Test task")
+
+
+def test_bulk_run(basic_flow):
+    inputs = [{"task": "Test1"}, {"task": "Test2"}]
+    responses = basic_flow.bulk_run(inputs)
+    assert responses == ["Test1", "Test2"]
+
+
+# Tests involving file IO
+def test_save_and_load(basic_flow, tmp_path):
+    file_path = tmp_path / "memory.json"
+    basic_flow.memory.append(["Test1", "Test2"])
+    basic_flow.save(file_path)
+
+    new_flow = Agent(llm=mocked_llm, max_loops=5)
+    new_flow.load(file_path)
+    assert new_flow.memory == [["Test1", "Test2"]]
+
+
+# Environment variable mock test
+def test_env_variable_handling(monkeypatch):
+    monkeypatch.setenv("API_KEY", "test_key")
+    assert os.getenv("API_KEY") == "test_key"
+
+
+# TODO: Add more tests, especially edge cases and exception cases. Implement parametrized tests for varied inputs.
+
+
+# Test initializing the agent with different stopping conditions
+def test_flow_with_custom_stopping_condition(mocked_llm):
+    def stopping_condition(x):
+        return "terminate" in x.lower()
+
+    flow = Flow(
+        llm=mocked_llm, max_loops=5, stopping_condition=stopping_condition
+    )
+    assert flow.stopping_condition("Please terminate now")
+    assert not flow.stopping_condition("Continue the process")
+
+
+# Test calling the agent directly
+def test_flow_call(basic_flow):
+    response = basic_flow("Test call")
+    assert response == "Test call"
+
+
+# Test formatting the prompt
+def test_format_prompt(basic_flow):
+    formatted_prompt = basic_flow.format_prompt(
+        "Hello {name}", name="John"
+    )
+    assert formatted_prompt == "Hello John"
+
+
+# Test with max loops
+@patch("time.sleep", return_value=None)
+def test_max_loops(mocked_sleep, basic_flow):
+    basic_flow.max_loops = 3
+    response = basic_flow.run("Looping")
+    assert response == "Looping"
+
+
+# Test stopping token
+@patch("time.sleep", return_value=None)
+def test_stopping_token(mocked_sleep, basic_flow):
+    basic_flow.stopping_token = "Terminate"
+    response = basic_flow.run("Loop until Terminate")
+    assert response == "Loop until Terminate"
+
+
+# Test interactive mode
+def test_interactive_mode(basic_flow):
+    basic_flow.interactive = True
+    assert basic_flow.interactive
+
+
+# Test bulk run with varied inputs
+def test_bulk_run_varied_inputs(basic_flow):
+    inputs = [
+        {"task": "Test1"},
+        {"task": "Test2"},
+        {"task": "Stop now"},
+    ]
+    responses = basic_flow.bulk_run(inputs)
+    assert responses == ["Test1", "Test2", "Stop now"]
+
+
+# Test loading non-existent file
+def test_load_non_existent_file(basic_flow, tmp_path):
+    file_path = tmp_path / "non_existent.json"
+    with pytest.raises(FileNotFoundError):
+        basic_flow.load(file_path)
+
+
+# Test saving with different memory data
+def test_save_different_memory(basic_flow, tmp_path):
+    file_path = tmp_path / "memory.json"
+    basic_flow.memory.append(["Task1", "Task2", "Task3"])
+    basic_flow.save(file_path)
+    with open(file_path, "r") as f:
+        data = json.load(f)
+    assert data == [["Task1", "Task2", "Task3"]]
+
+
+# Test the stopping condition check
+def test_check_stopping_condition(flow_with_condition):
+    assert flow_with_condition._check_stopping_condition("Stop this process")
+    assert not flow_with_condition._check_stopping_condition(
+        "Continue the task"
+    )
+
+
+# Test without providing max loops (default value should be 5)
+def test_default_max_loops(mocked_llm):
+    agent = Agent(llm=mocked_llm)
+    assert agent.max_loops == 5
+
+
+# Test creating agent from llm and template
+def test_from_llm_and_template(mocked_llm):
+    agent = Agent.from_llm_and_template(mocked_llm, "Test template")
+    assert isinstance(agent, Agent)
+
+
+# Mocking the OpenAIChat for testing
+@patch("swarms.models.OpenAIChat", autospec=True)
+def test_mocked_openai_chat(MockedOpenAIChat):
+    llm = MockedOpenAIChat(openai_api_key=openai_api_key)
+    llm.return_value = MagicMock()
+    agent = Agent(llm=llm, max_loops=5)
+    agent.run("Mocked run")
+    assert MockedOpenAIChat.called
+
+
+# Test retry attempts
+@patch("time.sleep", return_value=None)
+def test_retry_attempts(mocked_sleep, basic_flow):
+    basic_flow.retry_attempts = 2
+    basic_flow.llm.side_effect = [
+        Exception("Test Exception"),
+        "Valid response",
+    ]
+    response = basic_flow.run("Test retry")
+    assert response == "Valid response"
+
+
+# Test different loop intervals
+@patch("time.sleep", return_value=None)
+def test_different_loop_intervals(mocked_sleep, basic_flow):
+    basic_flow.loop_interval = 2
+    response = basic_flow.run("Test loop interval")
+    assert response == "Test loop interval"
+
+
+# Test different retry intervals
+@patch("time.sleep", return_value=None)
+def test_different_retry_intervals(mocked_sleep, basic_flow):
+    basic_flow.retry_interval = 2
+    response = basic_flow.run("Test retry interval")
+    assert response == "Test retry interval"
+
+
+# Test invoking the agent with additional kwargs
+@patch("time.sleep", return_value=None)
+def test_flow_call_with_kwargs(mocked_sleep, basic_flow):
+    response = basic_flow(
+        "Test call", param1="value1", param2="value2"
+    )
+    assert response == "Test call"
+
+
+# Test initializing the agent with all parameters
+def test_flow_initialization_all_params(mocked_llm):
+    agent = Agent(
+        llm=mocked_llm,
+        max_loops=10,
+        stopping_condition=stop_when_repeats,
+        loop_interval=2,
+        retry_attempts=4,
+        retry_interval=2,
+        interactive=True,
+        param1="value1",
+        param2="value2",
+    )
+    assert agent.max_loops == 10
+    assert agent.loop_interval == 2
+    assert agent.retry_attempts == 4
+    assert agent.retry_interval == 2
+    assert agent.interactive
+
+
+# Test the stopping token is in the response
+@patch("time.sleep", return_value=None)
+def test_stopping_token_in_response(mocked_sleep, basic_flow):
+    response = basic_flow.run("Test stopping token")
+    assert basic_flow.stopping_token in response
+
+
+@pytest.fixture
+def flow_instance():
+    # Create an instance of the Agent class with required parameters for testing
+    # You may need to adjust this based on your actual class initialization
+    llm = OpenAIChat(
+        openai_api_key=openai_api_key,
+    )
+    agent = Agent(
+        llm=llm,
+        max_loops=5,
+        interactive=False,
+        dashboard=False,
+        dynamic_temperature=False,
+    )
+    return agent
+
+
+def test_flow_run(flow_instance):
+    # Test the basic run method of the Agent class
+    response = flow_instance.run("Test task")
+    assert isinstance(response, str)
+    assert len(response) > 0
+
+
+def test_flow_interactive_mode(flow_instance):
+    # Test the interactive mode of the Agent class
+    flow_instance.interactive = True
+    response = flow_instance.run("Test task")
+    assert isinstance(response, str)
+    assert len(response) > 0
+
+
+def test_flow_dashboard_mode(flow_instance):
+    # Test the dashboard mode of the Agent class
+    flow_instance.dashboard = True
+    response = flow_instance.run("Test task")
+    assert isinstance(response, str)
+    assert len(response) > 0
+
+
+def test_flow_autosave(flow_instance):
+    # Test the autosave functionality of the Agent class
+    flow_instance.autosave = True
+    response = flow_instance.run("Test task")
+    assert isinstance(response, str)
+    assert len(response) > 0
+    # Ensure that the state is saved (you may need to implement this logic)
+    assert flow_instance.saved_state_path is not None
+
+
+def test_flow_response_filtering(flow_instance):
+    # Test the response filtering functionality
+    flow_instance.add_response_filter("filter_this")
+    response = flow_instance.filtered_run(
+        "This message should filter_this"
+    )
+    assert "filter_this" not in response
+
+
+def test_flow_undo_last(flow_instance):
+    # Test the undo functionality
+    response1 = flow_instance.run("Task 1")
+    response2 = flow_instance.run("Task 2")
+    previous_state, message = flow_instance.undo_last()
+    assert response1 == previous_state
+    assert "Restored to" in message
+
+
+def test_flow_dynamic_temperature(flow_instance):
+    # Test dynamic temperature adjustment
+    flow_instance.dynamic_temperature = True
+    response = flow_instance.run("Test task")
+    assert isinstance(response, str)
+    assert len(response) > 0
+
+
+def test_flow_streamed_generation(flow_instance):
+    # Test streamed generation
+    response = flow_instance.streamed_generation("Generating...")
+    assert isinstance(response, str)
+    assert len(response) > 0
+
+
+def test_flow_step(flow_instance):
+    # Test the step method
+    response = flow_instance.step("Test step")
+    assert isinstance(response, str)
+    assert len(response) > 0
+
+
+def test_flow_graceful_shutdown(flow_instance):
+    # Test graceful shutdown
+    result = flow_instance.graceful_shutdown()
+    assert result is not None
+
+
+# Add more test cases as needed to cover various aspects of your Agent class
+
+
+def test_flow_max_loops(flow_instance):
+    # Test setting and getting the maximum number of loops
+    flow_instance.set_max_loops(10)
+    assert flow_instance.get_max_loops() == 10
+
+
+def test_flow_autosave_path(flow_instance):
+    # Test setting and getting the autosave path
+    flow_instance.set_autosave_path("text.txt")
+    assert flow_instance.get_autosave_path() == "txt.txt"
+
+
+def test_flow_response_length(flow_instance):
+    # Test checking the length of the response
+    response = flow_instance.run(
+        "Generate a 10,000 word long blog on mental clarity and the benefits of"
+        " meditation."
+    )
+
+
+def test_flow_set_response_length_threshold(flow_instance):
+    # Test setting and getting the response length threshold
+    flow_instance.set_response_length_threshold(100)
+    assert flow_instance.get_response_length_threshold() == 100
+
+
+def test_flow_add_custom_filter(flow_instance):
+    # Test adding a custom response filter
+    flow_instance.add_response_filter("custom_filter")
+    assert "custom_filter" in flow_instance.get_response_filters()
+
+
+def test_flow_remove_custom_filter(flow_instance):
+    # Test removing a custom response filter
+    flow_instance.add_response_filter("custom_filter")
+    flow_instance.remove_response_filter("custom_filter")
+    assert "custom_filter" not in flow_instance.get_response_filters()
+
+
+def test_flow_dynamic_pacing(flow_instance):
+    # Test dynamic pacing
+    flow_instance.enable_dynamic_pacing()
+    assert flow_instance.is_dynamic_pacing_enabled() is True
+
+
+def test_flow_disable_dynamic_pacing(flow_instance):
+    # Test disabling dynamic pacing
+    flow_instance.disable_dynamic_pacing()
+    assert flow_instance.is_dynamic_pacing_enabled() is False
+
+
+def test_flow_change_prompt(flow_instance):
+    # Test changing the current prompt
+    flow_instance.change_prompt("New prompt")
+    assert flow_instance.get_current_prompt() == "New prompt"
+
+
+def test_flow_add_instruction(flow_instance):
+    # Test adding an instruction to the conversation
+    flow_instance.add_instruction("Follow these steps:")
+    assert "Follow these steps:" in flow_instance.get_instructions()
+
+
+def test_flow_clear_instructions(flow_instance):
+    # Test clearing all instructions from the conversation
+    flow_instance.add_instruction("Follow these steps:")
+    flow_instance.clear_instructions()
+    assert len(flow_instance.get_instructions()) == 0
+
+
+def test_flow_add_user_message(flow_instance):
+    # Test adding a user message to the conversation
+    flow_instance.add_user_message("User message")
+    assert "User message" in flow_instance.get_user_messages()
+
+
+def test_flow_clear_user_messages(flow_instance):
+    # Test clearing all user messages from the conversation
+    flow_instance.add_user_message("User message")
+    flow_instance.clear_user_messages()
+    assert len(flow_instance.get_user_messages()) == 0
+
+
+def test_flow_get_response_history(flow_instance):
+    # Test getting the response history
+    flow_instance.run("Message 1")
+    flow_instance.run("Message 2")
+    history = flow_instance.get_response_history()
+    assert len(history) == 2
+    assert "Message 1" in history[0]
+    assert "Message 2" in history[1]
+
+
+def test_flow_clear_response_history(flow_instance):
+    # Test clearing the response history
+    flow_instance.run("Message 1")
+    flow_instance.run("Message 2")
+    flow_instance.clear_response_history()
+    assert len(flow_instance.get_response_history()) == 0
+
+
+def test_flow_get_conversation_log(flow_instance):
+    # Test getting the entire conversation log
+    flow_instance.run("Message 1")
+    flow_instance.run("Message 2")
+    conversation_log = flow_instance.get_conversation_log()
+    assert (
+        len(conversation_log) == 4
+    )  # Including system and user messages
+
+
+def test_flow_clear_conversation_log(flow_instance):
+    # Test clearing the entire conversation log
+    flow_instance.run("Message 1")
+    flow_instance.run("Message 2")
+    flow_instance.clear_conversation_log()
+    assert len(flow_instance.get_conversation_log()) == 0
+
+
+def test_flow_get_state(flow_instance):
+    # Test getting the current state of the Agent instance
+    state = flow_instance.get_state()
+    assert isinstance(state, dict)
+    assert "current_prompt" in state
+    assert "instructions" in state
+    assert "user_messages" in state
+    assert "response_history" in state
+    assert "conversation_log" in state
+    assert "dynamic_pacing_enabled" in state
+    assert "response_length_threshold" in state
+    assert "response_filters" in state
+    assert "max_loops" in state
+    assert "autosave_path" in state
+
+
+def test_flow_load_state(flow_instance):
+    # Test loading the state into the Agent instance
+    state = {
+        "current_prompt": "Loaded prompt",
+        "instructions": ["Step 1", "Step 2"],
+        "user_messages": ["User message 1", "User message 2"],
+        "response_history": ["Response 1", "Response 2"],
+        "conversation_log": [
+            "System message 1",
+            "User message 1",
+            "System message 2",
+            "User message 2",
+        ],
+        "dynamic_pacing_enabled": True,
+        "response_length_threshold": 50,
+        "response_filters": ["filter1", "filter2"],
+        "max_loops": 10,
+        "autosave_path": "/path/to/load",
+    }
+    flow_instance.load_state(state)
+    assert flow_instance.get_current_prompt() == "Loaded prompt"
+    assert "Step 1" in flow_instance.get_instructions()
+    assert "User message 1" in flow_instance.get_user_messages()
+    assert "Response 1" in flow_instance.get_response_history()
+    assert "System message 1" in flow_instance.get_conversation_log()
+    assert flow_instance.is_dynamic_pacing_enabled() is True
+    assert flow_instance.get_response_length_threshold() == 50
+    assert "filter1" in flow_instance.get_response_filters()
+    assert flow_instance.get_max_loops() == 10
+    assert flow_instance.get_autosave_path() == "/path/to/load"
+
+
+def test_flow_save_state(flow_instance):
+    # Test saving the state of the Agent instance
+    flow_instance.change_prompt("New prompt")
+    flow_instance.add_instruction("Step 1")
+    flow_instance.add_user_message("User message")
+    flow_instance.run("Response")
+    state = flow_instance.save_state()
+    assert "current_prompt" in state
+    assert "instructions" in state
+    assert "user_messages" in state
+    assert "response_history" in state
+    assert "conversation_log" in state
+    assert "dynamic_pacing_enabled" in state
+    assert "response_length_threshold" in state
+    assert "response_filters" in state
+    assert "max_loops" in state
+    assert "autosave_path" in state
+
+
+def test_flow_rollback(flow_instance):
+    # Test rolling back to a previous state
+    state1 = flow_instance.get_state()
+    flow_instance.change_prompt("New prompt")
+    state2 = flow_instance.get_state()
+    flow_instance.rollback_to_state(state1)
+    assert (
+        flow_instance.get_current_prompt() == state1["current_prompt"]
+    )
+    assert flow_instance.get_instructions() == state1["instructions"]
+    assert flow_instance.get_user_messages() == state1["user_messages"]
+    assert flow_instance.get_response_history() == state1["response_history"]
+    assert flow_instance.get_conversation_log() == state1["conversation_log"]
+    assert (
+        flow_instance.is_dynamic_pacing_enabled()
+        == state1["dynamic_pacing_enabled"]
+    )
+    assert (
+        flow_instance.get_response_length_threshold()
+        == state1["response_length_threshold"]
+    )
+    assert (
+        flow_instance.get_response_filters()
+        == state1["response_filters"]
+    )
+    assert flow_instance.get_max_loops() == state1["max_loops"]
+    assert (
+        flow_instance.get_autosave_path() == state1["autosave_path"]
+    )
+    assert flow_instance.get_state() == state1
+
+
+def test_flow_contextual_intent(flow_instance):
+    # Test contextual intent handling
+    flow_instance.add_context("location", "New York")
+    flow_instance.add_context("time", "tomorrow")
+    response = flow_instance.run(
+        "What's the weather like in {location} at {time}?"
+    )
+    assert "New York" in response
+    assert "tomorrow" in response
+
+
+def test_flow_contextual_intent_override(flow_instance):
+    # Test contextual intent override
+    flow_instance.add_context("location", "New York")
+    response1 = flow_instance.run(
+        "What's the weather like in {location}?"
+    )
+    flow_instance.add_context("location", "Los Angeles")
+    response2 = flow_instance.run(
+        "What's the weather like in {location}?"
+    )
+    assert "New York" in response1
+    assert "Los Angeles" in response2
+
+
+def test_flow_contextual_intent_reset(flow_instance):
+    # Test resetting contextual intent
+    flow_instance.add_context("location", "New York")
+    response1 = flow_instance.run(
+        "What's the weather like in {location}?"
+    )
+    flow_instance.reset_context()
+    response2 = flow_instance.run(
+        "What's the weather like in {location}?"
+    )
+    assert "New York" in response1
+    assert "New York" in response2
+
+
+# Add more test cases as needed to cover various aspects of your Agent class
+def test_flow_interruptible(flow_instance):
+    # Test interruptible mode
+    flow_instance.interruptible = True
+    response = flow_instance.run("Interrupt me!")
+    assert "Interrupted" in response
+    assert flow_instance.is_interrupted() is True
+
+
+def test_flow_non_interruptible(flow_instance):
+    # Test non-interruptible mode
+    flow_instance.interruptible = False
+    response = flow_instance.run("Do not interrupt me!")
+    assert "Do not interrupt me!" in response
+    assert flow_instance.is_interrupted() is False
+
+
+def test_flow_timeout(flow_instance):
+    # Test conversation timeout
+    flow_instance.timeout = 60  # Set a timeout of 60 seconds
+    response = flow_instance.run(
+        "This should take some time to respond."
+    )
+    assert "Timed out" in response
+    assert flow_instance.is_timed_out() is True
+
+
+def test_flow_no_timeout(flow_instance):
+    # Test no conversation timeout
+    flow_instance.timeout = None
+    response = flow_instance.run("This should not time out.")
+    assert "This should not time out." in response
+    assert flow_instance.is_timed_out() is False
+
+
+def test_flow_custom_delimiter(flow_instance):
+    # Test setting and getting a custom message delimiter
+    flow_instance.set_message_delimiter("|||")
+    assert flow_instance.get_message_delimiter() == "|||"
+
+
+def test_flow_message_history(flow_instance):
+    # Test getting the message history
+    flow_instance.run("Message 1")
+    flow_instance.run("Message 2")
+    history = flow_instance.get_message_history()
+    assert len(history) == 2
+    assert "Message 1" in history[0]
+    assert "Message 2" in history[1]
+
+
+def test_flow_clear_message_history(flow_instance):
+    # Test clearing the message history
+    flow_instance.run("Message 1")
+    flow_instance.run("Message 2")
+    flow_instance.clear_message_history()
+    assert len(flow_instance.get_message_history()) == 0
+
+
+def test_flow_save_and_load_conversation(flow_instance):
+    # Test saving and loading the conversation
+    flow_instance.run("Message 1")
+    flow_instance.run("Message 2")
+    saved_conversation = flow_instance.save_conversation()
+    flow_instance.clear_conversation()
+    flow_instance.load_conversation(saved_conversation)
+    assert len(flow_instance.get_message_history()) == 2
+
+
+def test_flow_inject_custom_system_message(flow_instance):
+    # Test injecting a custom system message into the conversation
+    flow_instance.inject_custom_system_message(
+        "Custom system message"
+    )
+    assert (
+        "Custom system message" in flow_instance.get_message_history()
+    )
+
+
+def test_flow_inject_custom_user_message(flow_instance):
+    # Test injecting a custom user message into the conversation
+    flow_instance.inject_custom_user_message("Custom user message")
+    assert (
+        "Custom user message" in flow_instance.get_message_history()
+    )
+
+
+def test_flow_inject_custom_response(flow_instance):
+    # Test injecting a custom response into the conversation
+    flow_instance.inject_custom_response("Custom response")
+    assert "Custom response" in flow_instance.get_message_history()
+
+
+def test_flow_clear_injected_messages(flow_instance):
+    # Test clearing injected messages from the conversation
+    flow_instance.inject_custom_system_message(
+        "Custom system message"
+    )
+    flow_instance.inject_custom_user_message("Custom user message")
+    flow_instance.inject_custom_response("Custom response")
+    flow_instance.clear_injected_messages()
+    assert (
+        "Custom system message"
+        not in flow_instance.get_message_history()
+    )
+    assert (
+        "Custom user message"
+        not in flow_instance.get_message_history()
+    )
+    assert (
+        "Custom response" not in flow_instance.get_message_history()
+    )
+
+
+def test_flow_disable_message_history(flow_instance):
+    # Test disabling message history recording
+    flow_instance.disable_message_history()
+    response = flow_instance.run(
+        "This message should not be recorded in history."
+    )
+    assert "This message should not be recorded in history." in response
+    assert len(flow_instance.get_message_history()) == 0  # History is empty
+
+
+def test_flow_enable_message_history(flow_instance):
+    # Test enabling message history recording
+    flow_instance.enable_message_history()
+    response = flow_instance.run(
+        "This message should be recorded in history."
+    )
+    assert "This message should be recorded in history." in response
+    assert len(flow_instance.get_message_history()) == 1
+
+
+def test_flow_custom_logger(flow_instance):
+    # Test setting and using a custom logger
+    custom_logger = logger  # Replace with your custom logger class
+    flow_instance.set_logger(custom_logger)
+    response = flow_instance.run("Custom logger test")
+    assert (
+        "Logged using custom logger" in response
+    )  # Verify logging message
+
+
+def test_flow_batch_processing(flow_instance):
+    # Test batch processing of messages
+    messages = ["Message 1", "Message 2", "Message 3"]
+    responses = flow_instance.process_batch(messages)
+    assert isinstance(responses, list)
+    assert len(responses) == len(messages)
+    for response in responses:
+        assert isinstance(response, str)
+
+
+def test_flow_custom_metrics(flow_instance):
+    # Test tracking custom metrics
+    flow_instance.track_custom_metric("custom_metric_1", 42)
+    flow_instance.track_custom_metric("custom_metric_2", 3.14)
+    metrics = flow_instance.get_custom_metrics()
+    assert "custom_metric_1" in metrics
+    assert "custom_metric_2" in metrics
+    assert metrics["custom_metric_1"] == 42
+    assert metrics["custom_metric_2"] == 3.14
+
+
+def test_flow_reset_metrics(flow_instance):
+    # Test resetting custom metrics
+    flow_instance.track_custom_metric("custom_metric_1", 42)
+    flow_instance.track_custom_metric("custom_metric_2", 3.14)
+    flow_instance.reset_custom_metrics()
+    metrics = flow_instance.get_custom_metrics()
+    assert len(metrics) == 0
+
+
+def test_flow_retrieve_context(flow_instance):
+    # Test retrieving context
+    flow_instance.add_context("location", "New York")
+    context = flow_instance.get_context("location")
+    assert context == "New York"
+
+
+def test_flow_update_context(flow_instance):
+    # Test updating context
+    flow_instance.add_context("location", "New York")
+    flow_instance.update_context("location", "Los Angeles")
+    context = flow_instance.get_context("location")
+    assert context == "Los Angeles"
+
+
+def test_flow_remove_context(flow_instance):
+    # Test removing context
+    flow_instance.add_context("location", "New York")
+    flow_instance.remove_context("location")
+    context = flow_instance.get_context("location")
+    assert context is None
+
+
+def test_flow_clear_context(flow_instance):
+    # Test clearing all context
+    flow_instance.add_context("location", "New York")
+    flow_instance.add_context("time", "tomorrow")
+    flow_instance.clear_context()
+    context_location = flow_instance.get_context("location")
+    context_time = flow_instance.get_context("time")
+    assert context_location is None
+    assert context_time is None
+
+
+def test_flow_input_validation(flow_instance):
+    # Test input validation for invalid agent configurations
+    with pytest.raises(ValueError):
+        Agent(config=None)  # Invalid config, should raise ValueError
+
+    with pytest.raises(ValueError):
+        flow_instance.set_message_delimiter(
+            ""
+        )  # Empty delimiter, should raise ValueError
+
+    with pytest.raises(ValueError):
+        flow_instance.set_message_delimiter(
+            None
+        )  # None delimiter, should raise ValueError
+
+    with pytest.raises(ValueError):
+        flow_instance.set_message_delimiter(
+            123
+        )  # Invalid delimiter type, should raise ValueError
+
+    with pytest.raises(ValueError):
+        flow_instance.set_logger(
+            "invalid_logger"
+        )  # Invalid logger type, should raise ValueError
+
+    with pytest.raises(ValueError):
+        flow_instance.add_context(
+            None, "value"
+        )  # None key, should raise ValueError
+
+    with pytest.raises(ValueError):
+        flow_instance.add_context(
+            "key", None
+        )  # None value, should raise ValueError
+
+    with pytest.raises(ValueError):
+        flow_instance.update_context(
+            None, "value"
+        )  # None key, should raise ValueError
+
+    with pytest.raises(ValueError):
+        flow_instance.update_context(
+            "key", None
+        )  # None value, should raise ValueError
+
+
+def test_flow_conversation_reset(flow_instance):
+    # Test conversation reset
+    flow_instance.run("Message 1")
+    flow_instance.run("Message 2")
+    flow_instance.reset_conversation()
+    assert len(flow_instance.get_message_history()) == 0
+
+
+def test_flow_conversation_persistence(flow_instance):
+    # Test conversation persistence across instances
+    flow_instance.run("Message 1")
+    flow_instance.run("Message 2")
+    conversation = flow_instance.get_conversation()
+
+    new_flow_instance = Agent()
+    new_flow_instance.load_conversation(conversation)
+    assert len(new_flow_instance.get_message_history()) == 2
+    assert "Message 1" in new_flow_instance.get_message_history()[0]
+    assert "Message 2" in new_flow_instance.get_message_history()[1]
+
+
+def test_flow_custom_event_listener(flow_instance):
+    # Test custom event listener
+    class CustomEventListener:
+        def on_message_received(self, message):
+            pass
+
+        def on_response_generated(self, response):
+            pass
+
+    custom_event_listener = CustomEventListener()
+    flow_instance.add_event_listener(custom_event_listener)
+
+    # Ensure that the custom event listener methods are called during a conversation
+    with mock.patch.object(
+        custom_event_listener, "on_message_received"
+    ) as mock_received, mock.patch.object(
+        custom_event_listener, "on_response_generated"
+    ) as mock_response:
+        flow_instance.run("Message 1")
+        mock_received.assert_called_once()
+        mock_response.assert_called_once()
+
+
+def test_flow_multiple_event_listeners(flow_instance):
+    # Test multiple event listeners
+    class FirstEventListener:
+        def on_message_received(self, message):
+            pass
+
+        def on_response_generated(self, response):
+            pass
+
+    class SecondEventListener:
+        def on_message_received(self, message):
+            pass
+
+        def on_response_generated(self, response):
+            pass
+
+    first_event_listener = FirstEventListener()
+    second_event_listener = SecondEventListener()
+    flow_instance.add_event_listener(first_event_listener)
+    flow_instance.add_event_listener(second_event_listener)
+
+    # Ensure that both event listeners receive events during a conversation
+    with mock.patch.object(
+        first_event_listener, "on_message_received"
+    ) as mock_first_received, mock.patch.object(
+        first_event_listener, "on_response_generated"
+    ) as mock_first_response, mock.patch.object(
+        second_event_listener, "on_message_received"
+    ) as mock_second_received, mock.patch.object(
+        second_event_listener, "on_response_generated"
+    ) as mock_second_response:
+        flow_instance.run("Message 1")
+        mock_first_received.assert_called_once()
+        mock_first_response.assert_called_once()
+        mock_second_received.assert_called_once()
+        mock_second_response.assert_called_once()
+
+
+# Add more test cases as needed to cover various aspects of your Agent class
+def test_flow_error_handling(flow_instance):
+    # Test error handling and exceptions
+    with pytest.raises(ValueError):
+        flow_instance.set_message_delimiter(
+            ""
+        )  # Empty delimiter, should raise ValueError
+
+    with pytest.raises(ValueError):
+        flow_instance.set_message_delimiter(
+            None
+        )  # None delimiter, should raise ValueError
+
+    with pytest.raises(ValueError):
+        flow_instance.set_logger(
+            "invalid_logger"
+        )  # Invalid logger type, should raise ValueError
+
+    with pytest.raises(ValueError):
+        flow_instance.add_context(
+            None, "value"
+        )  # None key, should raise ValueError
+
+    with pytest.raises(ValueError):
+        flow_instance.add_context(
+            "key", None
+        )  # None value, should raise ValueError
+
+    with pytest.raises(ValueError):
+        flow_instance.update_context(
+            None, "value"
+        )  # None key, should raise ValueError
+
+    with pytest.raises(ValueError):
+        flow_instance.update_context(
+            "key", None
+        )  # None value, should raise ValueError
+
+
+def test_flow_context_operations(flow_instance):
+    # Test context operations
+    flow_instance.add_context("user_id", "12345")
+    assert flow_instance.get_context("user_id") == "12345"
+    flow_instance.update_context("user_id", "54321")
+    assert flow_instance.get_context("user_id") == "54321"
+    flow_instance.remove_context("user_id")
+    assert flow_instance.get_context("user_id") is None
+
+
+# Add more test cases as needed to cover various aspects of your Agent class
+
+
+def test_flow_long_messages(flow_instance):
+    # Test handling of long messages
+    long_message = "A" * 10000  # Create a very long message
+    flow_instance.run(long_message)
+    assert len(flow_instance.get_message_history()) == 1
+    assert flow_instance.get_message_history()[0] == long_message
+
+
+def test_flow_custom_response(flow_instance):
+    # Test custom response generation
+    def custom_response_generator(message):
+        if message == "Hello":
+            return "Hi there!"
+        elif message == "How are you?":
+            return "I'm doing well, thank you."
+        else:
+            return "I don't understand."
+
+    flow_instance.set_response_generator(custom_response_generator)
+
+    assert flow_instance.run("Hello") == "Hi there!"
+    assert (
+        flow_instance.run("How are you?")
+        == "I'm doing well, thank you."
+    )
+    assert (
+        flow_instance.run("What's your name?")
+        == "I don't understand."
+    )
+
+
+def test_flow_message_validation(flow_instance):
+    # Test message validation
+    def custom_message_validator(message):
+        return len(message) > 0  # Reject empty messages
+
+    flow_instance.set_message_validator(custom_message_validator)
+
+    assert flow_instance.run("Valid message") is not None
+    assert (
+        flow_instance.run("") is None
+    )  # Empty message should be rejected
+    assert (
+        flow_instance.run(None) is None
+    )  # None message should be rejected
+
+
+def test_flow_custom_logging(flow_instance):
+    custom_logger = logger
+    flow_instance.set_logger(custom_logger)
+
+    with mock.patch.object(custom_logger, "log") as mock_log:
+        flow_instance.run("Message")
+        mock_log.assert_called_once_with("Message")
+
+
+def test_flow_performance(flow_instance):
+    # Test the performance of the Agent class by running a large number of messages
+    num_messages = 1000
+    for i in range(num_messages):
+        flow_instance.run(f"Message {i}")
+    assert len(flow_instance.get_message_history()) == num_messages
+
+
+def test_flow_complex_use_case(flow_instance):
+    # Test a complex use case scenario
+    flow_instance.add_context("user_id", "12345")
+    flow_instance.run("Hello")
+    flow_instance.run("How can I help you?")
+    assert (
+        flow_instance.get_response() == "Please provide more details."
+    )
+    flow_instance.update_context("user_id", "54321")
+    flow_instance.run("I need help with my order")
+    assert (
+        flow_instance.get_response()
+        == "Sure, I can assist with that."
+    )
+    flow_instance.reset_conversation()
+    assert len(flow_instance.get_message_history()) == 0
+    assert flow_instance.get_context("user_id") is None
+
+
+# Add more test cases as needed to cover various aspects of your Agent class
+def test_flow_context_handling(flow_instance):
+    # Test context handling
+    flow_instance.add_context("user_id", "12345")
+    assert flow_instance.get_context("user_id") == "12345"
+    flow_instance.update_context("user_id", "54321")
+    assert flow_instance.get_context("user_id") == "54321"
+    flow_instance.remove_context("user_id")
+    assert flow_instance.get_context("user_id") is None
+
+
+def test_flow_concurrent_requests(flow_instance):
+    # Test concurrent message processing
+    import threading
+
+    def send_messages():
+        for i in range(100):
+            flow_instance.run(f"Message {i}")
+
+    threads = []
+    for _ in range(5):
+        thread = threading.Thread(target=send_messages)
+        threads.append(thread)
+        thread.start()
+
+    for thread in threads:
+        thread.join()
+
+    assert len(flow_instance.get_message_history()) == 500
+
+
+def test_flow_custom_timeout(flow_instance):
+    # Test custom timeout handling
+    flow_instance.set_timeout(
+        10
+    )  # Set a custom timeout of 10 seconds
+    assert flow_instance.get_timeout() == 10
+
+    import time
+
+    start_time = time.time()
+    flow_instance.run("Long-running operation")
+    end_time = time.time()
+    execution_time = end_time - start_time
+    assert execution_time >= 10  # Ensure the timeout was respected
+
+
+# Add more test cases as needed to thoroughly cover your Agent class
+
+
+def test_flow_interactive_run(flow_instance, capsys):
+    # Test interactive run mode
+    # Simulate user input and check if the AI responds correctly
+    user_input = ["Hello", "How can you help me?", "Exit"]
+
+    def simulate_user_input(input_list):
+        input_index = 0
+        while input_index < len(input_list):
+            user_response = input_list[input_index]
+            flow_instance.interactive_run(max_loops=1)
+
+            # Capture the AI's response
+            captured = capsys.readouterr()
+            ai_response = captured.out.strip()
+
+            assert f"You: {user_response}" in captured.out
+            assert "AI:" in captured.out
+
+            # Check if the AI's response matches the expected response
+            expected_response = f"AI: {ai_response}"
+            assert expected_response in captured.out
+
+            input_index += 1
+
+    simulate_user_input(user_input)
+
+
+# Assuming you have already defined your Agent class and created an instance for testing
+
+
+def test_flow_agent_history_prompt(flow_instance):
+    # Test agent history prompt generation
+    system_prompt = "This is the system prompt."
+    history = ["User: Hi", "AI: Hello"]
+
+    agent_history_prompt = flow_instance.agent_history_prompt(
+        system_prompt, history
+    )
+
+    assert (
+        "SYSTEM_PROMPT: This is the system prompt."
+        in agent_history_prompt
+    )
+    assert (
+        "History: ['User: Hi', 'AI: Hello']" in agent_history_prompt
+    )
+
+
+async def test_flow_run_concurrent(flow_instance):
+    # Test running tasks concurrently
+    tasks = ["Task 1", "Task 2", "Task 3"]
+    completed_tasks = await flow_instance.run_concurrent(tasks)
+
+    # Ensure that all tasks are completed
+    assert len(completed_tasks) == len(tasks)
+
+
+def test_flow_bulk_run(flow_instance):
+    # Test bulk running of tasks
+    input_data = [
+        {"task": "Task 1", "param1": "value1"},
+        {"task": "Task 2", "param2": "value2"},
+        {"task": "Task 3", "param3": "value3"},
+    ]
+    responses = flow_instance.bulk_run(input_data)
+
+    # Ensure that the responses match the input tasks
+    assert responses[0] == "Response for Task 1"
+    assert responses[1] == "Response for Task 2"
+    assert responses[2] == "Response for Task 3"
+
+
+def test_flow_from_llm_and_template():
+    # Test creating Agent instance from an LLM and a template
+    llm_instance = mocked_llm  # Replace with your LLM class
+    template = "This is a template for testing."
+
+    flow_instance = Agent.from_llm_and_template(
+        llm_instance, template
+    )
+
+    assert isinstance(flow_instance, Agent)
+
+
+def test_flow_from_llm_and_template_file():
+    # Test creating Agent instance from an LLM and a template file
+    llm_instance = mocked_llm  # Replace with your LLM class
+    template_file = (  # Create a template file for testing
+        "template.txt"
+    )
+
+    flow_instance = Agent.from_llm_and_template_file(
+        llm_instance, template_file
+    )
+
+    assert isinstance(flow_instance, Agent)
+
+
+def test_flow_save_and_load(flow_instance, tmp_path):
+    # Test saving and loading the agent state
+    file_path = tmp_path / "flow_state.json"
+
+    # Save the state
+    flow_instance.save(file_path)
+
+    # Create a new instance and load the state
+    new_flow_instance = Agent(llm=mocked_llm, max_loops=5)
+    new_flow_instance.load(file_path)
+
+    # Ensure that the loaded state matches the original state
+    assert new_flow_instance.memory == flow_instance.memory
+
+
+def test_flow_validate_response(flow_instance):
+    # Test response validation
+    valid_response = "This is a valid response."
+    invalid_response = "Short."
+
+    assert flow_instance.validate_response(valid_response) is True
+    assert flow_instance.validate_response(invalid_response) is False
+
+
+# Add more test cases as needed for other methods and features of your Agent class
+
+# Finally, don't forget to run your tests using a testing framework like pytest
+
+# Assuming you have already defined your Agent class and created an instance for testing
+
+
+def test_flow_print_history_and_memory(capsys, flow_instance):
+    # Test printing the history and memory of the agent
+    history = ["User: Hi", "AI: Hello"]
+    flow_instance.memory = [history]
+
+    flow_instance.print_history_and_memory()
+
+    captured = capsys.readouterr()
+    assert "Agent History and Memory" in captured.out
+    assert "Loop 1:" in captured.out
+    assert "User: Hi" in captured.out
+    assert "AI: Hello" in captured.out
+
+
+def test_flow_run_with_timeout(flow_instance):
+    # Test running with a timeout
+    task = "Task with a long response time"
+    response = flow_instance.run_with_timeout(task, timeout=1)
+
+    # Ensure that the response is either the actual response or "Timeout"
+    assert response in ["Actual Response", "Timeout"]
+
+
+# Add more test cases as needed for other methods and features of your Agent class
+
+# Finally, don't forget to run your tests using a testing framework like pytest
diff --git a/tests/structs/test_nonlinear_workflow.py b/tests/structs/test_nonlinear_workflow.py
new file mode 100644
index 00000000..ad7e57d0
--- /dev/null
+++ b/tests/structs/test_nonlinear_workflow.py
@@ -0,0 +1,69 @@
+from unittest.mock import patch, MagicMock
+from swarms.structs.nonlinear_workflow import NonLinearWorkflow, Task
+
+
+class MockTask(Task):
+    def can_execute(self):
+        return True
+
+    def execute(self):
+        return "Task executed"
+
+
+def test_nonlinearworkflow_initialization():
+    agents = MagicMock()
+    iters_per_task = MagicMock()
+    workflow = NonLinearWorkflow(agents, iters_per_task)
+    assert isinstance(workflow, NonLinearWorkflow)
+    assert workflow.agents == agents
+    assert workflow.tasks == []
+
+
+def test_nonlinearworkflow_add():
+    agents = MagicMock()
+    iters_per_task = MagicMock()
+    workflow = NonLinearWorkflow(agents, iters_per_task)
+    task = MockTask("task1")
+    workflow.add(task)
+    assert workflow.tasks == [task]
+
+
+@patch("your_module.NonLinearWorkflow.is_finished")
+@patch("your_module.NonLinearWorkflow.output_tasks")
+def test_nonlinearworkflow_run(mock_output_tasks, mock_is_finished):
+    agents = MagicMock()
+    iters_per_task = MagicMock()
+    workflow = NonLinearWorkflow(agents, iters_per_task)
+    task = MockTask("task1")
+    workflow.add(task)
+    mock_is_finished.return_value = False
+    mock_output_tasks.return_value = [task]
+    workflow.run()
+    assert mock_output_tasks.called
+
+
+def test_nonlinearworkflow_output_tasks():
+    agents = MagicMock()
+    iters_per_task = MagicMock()
+    workflow = NonLinearWorkflow(agents, iters_per_task)
+    task = MockTask("task1")
+    workflow.add(task)
+    assert workflow.output_tasks() == [task]
+
+
+def test_nonlinearworkflow_to_graph():
+    agents = MagicMock()
+    iters_per_task = MagicMock()
+    workflow = NonLinearWorkflow(agents, iters_per_task)
+    task = MockTask("task1")
+    workflow.add(task)
+    assert workflow.to_graph() == {"task1": set()}
+
+
+def test_nonlinearworkflow_order_tasks():
+    agents = MagicMock()
+    iters_per_task = MagicMock()
+    workflow = NonLinearWorkflow(agents, iters_per_task)
+    task = MockTask("task1")
+    workflow.add(task)
+    assert workflow.order_tasks() == [task]
diff --git a/tests/structs/test_workflow.py b/tests/structs/test_workflow.py
new file mode 100644
index 00000000..fdc6e85e
--- /dev/null
+++ b/tests/structs/test_workflow.py
@@ -0,0 +1,69 @@
+from unittest.mock import patch, MagicMock
+from swarms.structs.workflow import Workflow
+
+
+def test_workflow_initialization():
+    agent = MagicMock()
+    workflow = Workflow(agent)
+    assert isinstance(workflow, Workflow)
+    assert workflow.agent == agent
+    assert workflow.tasks == []
+    assert workflow.parallel is False
+
+
+def test_workflow_add():
+    agent = MagicMock()
+    workflow = Workflow(agent)
+    task = workflow.add("What's the weather in miami")
+    assert isinstance(task, Workflow.Task)
+    assert task.task == "What's the weather in miami"
+    assert task.parents == []
+    assert task.children == []
+    assert task.output is None
+    assert task.structure == workflow
+
+
+def test_workflow_first_task():
+    agent = MagicMock()
+    workflow = Workflow(agent)
+    assert workflow.first_task() is None
+    workflow.add("What's the weather in miami")
+    assert workflow.first_task().task == "What's the weather in miami"
+
+
+def test_workflow_last_task():
+    agent = MagicMock()
+    workflow = Workflow(agent)
+    assert workflow.last_task() is None
+    workflow.add("What's the weather in miami")
+    assert workflow.last_task().task == "What's the weather in miami"
+
+
+@patch("your_module.Workflow.__run_from_task")
+def test_workflow_run(mock_run_from_task):
+    agent = MagicMock()
+    workflow = Workflow(agent)
+    workflow.add("What's the weather in miami")
+    workflow.run()
+    mock_run_from_task.assert_called_once()
+
+
+def test_workflow_context():
+    agent = MagicMock()
+    workflow = Workflow(agent)
+    task = workflow.add("What's the weather in miami")
+    assert workflow.context(task) == {
+        "parent_output": None,
+        "parent": None,
+        "child": None,
+    }
+
+
+@patch("your_module.Workflow.Task.execute")
+def test_workflow___run_from_task(mock_execute):
+    agent = MagicMock()
+    workflow = Workflow(agent)
+    task = workflow.add("What's the weather in miami")
+    mock_execute.return_value = "Sunny"
+    workflow.__run_from_task(task)
+    mock_execute.assert_called_once()
diff --git a/tests/swarms/test_dialogue_simulator.py b/tests/swarms/test_dialogue_simulator.py
new file mode 100644
index 00000000..52cd6367
--- /dev/null
+++ b/tests/swarms/test_dialogue_simulator.py
@@ -0,0 +1,22 @@
+from unittest.mock import patch
+from swarms.swarms.dialogue_simulator import DialogueSimulator, Worker
+
+
+def test_dialoguesimulator_initialization():
+    dialoguesimulator = DialogueSimulator(agents=[Worker] * 5)
+    assert isinstance(dialoguesimulator, DialogueSimulator)
+    assert len(dialoguesimulator.agents) == 5
+
+
+@patch("swarms.workers.worker.Worker.run")
+def test_dialoguesimulator_run(mock_run):
+    dialoguesimulator = DialogueSimulator(agents=[Worker] * 5)
+    dialoguesimulator.run(max_iters=5, name="Agent 1", message="Hello, world!")
+    assert mock_run.call_count == 30
+
+
+@patch("swarms.workers.worker.Worker.run")
+def test_dialoguesimulator_run_without_name_and_message(mock_run):
+    dialoguesimulator = DialogueSimulator(agents=[Worker] * 5)
+    dialoguesimulator.run(max_iters=5)
+    assert mock_run.call_count == 25
diff --git a/tests/swarms/multi_agent_debate.py b/tests/swarms/test_multi_agent_debate.py
similarity index 100%
rename from tests/swarms/multi_agent_debate.py
rename to tests/swarms/test_multi_agent_debate.py
diff --git a/tests/swarms/test_orchestrate.py b/tests/swarms/test_orchestrate.py
new file mode 100644
index 00000000..7a73d92d
--- /dev/null
+++ b/tests/swarms/test_orchestrate.py
@@ -0,0 +1,68 @@
+import pytest
+from unittest.mock import Mock
+from swarms.swarms.orchestrate import Orchestrator
+
+
+@pytest.fixture
+def mock_agent():
+    return Mock()
+
+
+@pytest.fixture
+def mock_task():
+    return {"task_id": 1, "task_data": "data"}
+
+
+@pytest.fixture
+def mock_vector_db():
+    return Mock()
+
+
+@pytest.fixture
+def orchestrator(mock_agent, mock_vector_db):
+    agent_list = [mock_agent for _ in range(5)]
+    task_queue = []
+    return Orchestrator(mock_agent, agent_list, task_queue, mock_vector_db)
+
+
+def test_assign_task(orchestrator, mock_agent, mock_task, mock_vector_db):
+    orchestrator.task_queue.append(mock_task)
+    orchestrator.assign_task(0, mock_task)
+
+    mock_agent.process_task.assert_called_once()
+    mock_vector_db.add_documents.assert_called_once()
+
+
+def test_retrieve_results(orchestrator, mock_vector_db):
+    mock_vector_db.query.return_value = "expected_result"
+    assert orchestrator.retrieve_results(0) == "expected_result"
+
+
+def test_update_vector_db(orchestrator, mock_vector_db):
+    data = {"vector": [0.1, 0.2, 0.3], "task_id": 1}
+    orchestrator.update_vector_db(data)
+    mock_vector_db.add_documents.assert_called_once_with(
+        [data["vector"]], [str(data["task_id"])]
+    )
+
+
+def test_get_vector_db(orchestrator, mock_vector_db):
+    assert orchestrator.get_vector_db() == mock_vector_db
+
+
+def test_append_to_db(orchestrator, mock_vector_db):
+    collection = "test_collection"
+    result = "test_result"
+    orchestrator.append_to_db(collection, result)
+    mock_vector_db.append_document.assert_called_once_with(
+        collection, result, id=str(id(result))
+    )
+
+
+def test_run(orchestrator, mock_agent, mock_vector_db):
+    objective = "test_objective"
+    collection = "test_collection"
+    orchestrator.run(objective, collection)
+
+    mock_agent.process_task.assert_called()
+    mock_vector_db.append_document.assert_called()
diff --git a/tests/swarms/test_simple_swarm.py b/tests/swarms/test_simple_swarm.py
new file mode 100644
index 00000000..e50b9485
--- /dev/null
+++ b/tests/swarms/test_simple_swarm.py
@@ -0,0 +1,51 @@
+from unittest.mock import patch
+from swarms.swarms.simple_swarm import SimpleSwarm
+
+
+def test_simpleswarm_initialization():
+    simpleswarm = SimpleSwarm(
+        num_workers=5, openai_api_key="api_key", ai_name="ai_name"
+    )
+    assert isinstance(simpleswarm, SimpleSwarm)
+    assert len(simpleswarm.workers) == 5
+    assert simpleswarm.task_queue.qsize() == 0
+    assert simpleswarm.priority_queue.qsize() == 0
+
+
+def test_simpleswarm_distribute():
+    simpleswarm = SimpleSwarm(
+        num_workers=5, openai_api_key="api_key", ai_name="ai_name"
+    )
+    simpleswarm.distribute("task1")
+    assert simpleswarm.task_queue.qsize() == 1
+    simpleswarm.distribute("task2", priority=1)
+    assert simpleswarm.priority_queue.qsize() == 1
+
+
+@patch("swarms.workers.worker.Worker.run")
+def test_simpleswarm_process_task(mock_run):
+    simpleswarm = SimpleSwarm(
+        num_workers=5, openai_api_key="api_key", ai_name="ai_name"
+    )
+    simpleswarm._process_task("task1")
+    assert mock_run.call_count == 5
+
+
+def test_simpleswarm_run():
+    simpleswarm = SimpleSwarm(
+        num_workers=5, openai_api_key="api_key", ai_name="ai_name"
+    )
+    simpleswarm.distribute("task1")
+    simpleswarm.distribute("task2", priority=1)
+    results = simpleswarm.run()
+    assert len(results) == 2
+
+
+@patch("swarms.workers.Worker.run")
+def test_simpleswarm_run_old(mock_run):
+    simpleswarm = SimpleSwarm(
+        num_workers=5, openai_api_key="api_key", ai_name="ai_name"
+    )
+    results = simpleswarm.run_old("task1")
+    assert len(results) == 5
+    assert mock_run.call_count == 5