1 files changed, 0 insertions, 237 deletions
diff --git a/tests/unit/test_config.py b/tests/unit/test_config.py
deleted file mode 100644
index b441aa948..000000000
--- a/tests/unit/test_config.py
+++ /dev/null
@@ -1,237 +0,0 @@
-"""
-Test cases for the config class, which handles the configuration settings
-for the AI and ensures it behaves as a singleton.
-"""
-import os
-from unittest import mock
-from unittest.mock import patch
-
-import pytest
-
-from autogpt.config import Config, ConfigBuilder
-from autogpt.configurator import GPT_3_MODEL, GPT_4_MODEL, create_config
-from autogpt.workspace.workspace import Workspace
-
-
-def test_initial_values(config: Config):
-    """
-    Test if the initial values of the config class attributes are set correctly.
-    """
-    assert config.debug_mode == False
-    assert config.continuous_mode == False
-    assert config.speak_mode == False
-    assert config.fast_llm == "gpt-3.5-turbo"
-    assert config.smart_llm == "gpt-4"
-
-
-def test_set_continuous_mode(config: Config):
-    """
-    Test if the set_continuous_mode() method updates the continuous_mode attribute.
-    """
-    # Store continuous mode to reset it after the test
-    continuous_mode = config.continuous_mode
-
-    config.continuous_mode = True
-    assert config.continuous_mode == True
-
-    # Reset continuous mode
-    config.continuous_mode = continuous_mode
-
-
-def test_set_speak_mode(config: Config):
-    """
-    Test if the set_speak_mode() method updates the speak_mode attribute.
-    """
-    # Store speak mode to reset it after the test
-    speak_mode = config.speak_mode
-
-    config.speak_mode = True
-    assert config.speak_mode == True
-
-    # Reset speak mode
-    config.speak_mode = speak_mode
-
-
-def test_set_fast_llm(config: Config):
-    """
-    Test if the set_fast_llm() method updates the fast_llm attribute.
-    """
-    # Store model name to reset it after the test
-    fast_llm = config.fast_llm
-
-    config.fast_llm = "gpt-3.5-turbo-test"
-    assert config.fast_llm == "gpt-3.5-turbo-test"
-
-    # Reset model name
-    config.fast_llm = fast_llm
-
-
-def test_set_smart_llm(config: Config):
-    """
-    Test if the set_smart_llm() method updates the smart_llm attribute.
-    """
-    # Store model name to reset it after the test
-    smart_llm = config.smart_llm
-
-    config.smart_llm = "gpt-4-test"
-    assert config.smart_llm == "gpt-4-test"
-
-    # Reset model name
-    config.smart_llm = smart_llm
-
-
-def test_set_debug_mode(config: Config):
-    """
-    Test if the set_debug_mode() method updates the debug_mode attribute.
-    """
-    # Store debug mode to reset it after the test
-    debug_mode = config.debug_mode
-
-    config.debug_mode = True
-    assert config.debug_mode == True
-
-    # Reset debug mode
-    config.debug_mode = debug_mode
-
-
-@patch("openai.Model.list")
-def test_smart_and_fast_llms_set_to_gpt4(mock_list_models, config: Config):
-    """
-    Test if models update to gpt-3.5-turbo if both are set to gpt-4.
-    """
-    fast_llm = config.fast_llm
-    smart_llm = config.smart_llm
-
-    config.fast_llm = "gpt-4"
-    config.smart_llm = "gpt-4"
-
-    mock_list_models.return_value = {"data": [{"id": "gpt-3.5-turbo"}]}
-
-    create_config(
-        config=config,
-        continuous=False,
-        continuous_limit=False,
-        ai_settings_file="",
-        prompt_settings_file="",
-        skip_reprompt=False,
-        speak=False,
-        debug=False,
-        gpt3only=False,
-        gpt4only=False,
-        memory_type="",
-        browser_name="",
-        allow_downloads=False,
-        skip_news=False,
-    )
-
-    assert config.fast_llm == "gpt-3.5-turbo"
-    assert config.smart_llm == "gpt-3.5-turbo"
-
-    # Reset config
-    config.fast_llm = fast_llm
-    config.smart_llm = smart_llm
-
-
-def test_missing_azure_config(workspace: Workspace):
-    config_file = workspace.get_path("azure_config.yaml")
-    with pytest.raises(FileNotFoundError):
-        ConfigBuilder.load_azure_config(str(config_file))
-
-    config_file.write_text("")
-    azure_config = ConfigBuilder.load_azure_config(str(config_file))
-
-    assert azure_config["openai_api_type"] == "azure"
-    assert azure_config["openai_api_base"] == ""
-    assert azure_config["openai_api_version"] == "2023-03-15-preview"
-    assert azure_config["azure_model_to_deployment_id_map"] == {}
-
-
-def test_azure_config(config: Config, workspace: Workspace) -> None:
-    config_file = workspace.get_path("azure_config.yaml")
-    yaml_content = f"""
-azure_api_type: azure
-azure_api_base: https://dummy.openai.azure.com
-azure_api_version: 2023-06-01-preview
-azure_model_map:
-    fast_llm_deployment_id: FAST-LLM_ID
-    smart_llm_deployment_id: SMART-LLM_ID
-    embedding_model_deployment_id: embedding-deployment-id-for-azure
-"""
-    config_file.write_text(yaml_content)
-
-    os.environ["USE_AZURE"] = "True"
-    os.environ["AZURE_CONFIG_FILE"] = str(config_file)
-    config = ConfigBuilder.build_config_from_env()
-
-    assert config.openai_api_type == "azure"
-    assert config.openai_api_base == "https://dummy.openai.azure.com"
-    assert config.openai_api_version == "2023-06-01-preview"
-    assert config.azure_model_to_deployment_id_map == {
-        "fast_llm_deployment_id": "FAST-LLM_ID",
-        "smart_llm_deployment_id": "SMART-LLM_ID",
-        "embedding_model_deployment_id": "embedding-deployment-id-for-azure",
-    }
-
-    fast_llm = config.fast_llm
-    smart_llm = config.smart_llm
-    assert config.get_azure_kwargs(config.fast_llm)["deployment_id"] == "FAST-LLM_ID"
-    assert config.get_azure_kwargs(config.smart_llm)["deployment_id"] == "SMART-LLM_ID"
-
-    # Emulate --gpt4only
-    config.fast_llm = smart_llm
-    assert config.get_azure_kwargs(config.fast_llm)["deployment_id"] == "SMART-LLM_ID"
-    assert config.get_azure_kwargs(config.smart_llm)["deployment_id"] == "SMART-LLM_ID"
-
-    # Emulate --gpt3only
-    config.fast_llm = config.smart_llm = fast_llm
-    assert config.get_azure_kwargs(config.fast_llm)["deployment_id"] == "FAST-LLM_ID"
-    assert config.get_azure_kwargs(config.smart_llm)["deployment_id"] == "FAST-LLM_ID"
-
-    del os.environ["USE_AZURE"]
-    del os.environ["AZURE_CONFIG_FILE"]
-
-
-def test_create_config_gpt4only(config: Config) -> None:
-    with mock.patch("autogpt.llm.api_manager.ApiManager.get_models") as mock_get_models:
-        mock_get_models.return_value = [{"id": GPT_4_MODEL}]
-        create_config(
-            config=config,
-            continuous=False,
-            continuous_limit=None,
-            ai_settings_file=None,
-            prompt_settings_file=None,
-            skip_reprompt=False,
-            speak=False,
-            debug=False,
-            gpt3only=False,
-            gpt4only=True,
-            memory_type=None,
-            browser_name=None,
-            allow_downloads=False,
-            skip_news=False,
-        )
-        assert config.fast_llm == GPT_4_MODEL
-        assert config.smart_llm == GPT_4_MODEL
-
-
-def test_create_config_gpt3only(config: Config) -> None:
-    with mock.patch("autogpt.llm.api_manager.ApiManager.get_models") as mock_get_models:
-        mock_get_models.return_value = [{"id": GPT_3_MODEL}]
-        create_config(
-            config=config,
-            continuous=False,
-            continuous_limit=None,
-            ai_settings_file=None,
-            prompt_settings_file=None,
-            skip_reprompt=False,
-            speak=False,
-            debug=False,
-            gpt3only=True,
-            gpt4only=False,
-            memory_type=None,
-            browser_name=None,
-            allow_downloads=False,
-            skip_news=False,
-        )
-        assert config.fast_llm == GPT_3_MODEL
-        assert config.smart_llm == GPT_3_MODEL