List and Type are imported but unused, which will fail linting (ruff F401) in this repository. Please remove unused imports or use them (e.g., if you intended to type TARGET_CONFIGS/target_class).

The video target config was renamed and switched from AZURE_OPENAI_VIDEO_* env vars to OPENAI_VIDEO_*. This breaks existing configs and is inconsistent with the rest of the repo (integration tests and docs still reference AZURE_OPENAI_VIDEO_ENDPOINT/KEY/MODEL). Consider keeping the AZURE_OPENAI_VIDEO_* variables (and azure_openai_video registry name) or supporting both sets for backward compatibility; also update the docstring section that still mentions AZURE_OPENAI_VIDEO_* accordingly.

Agree with copilot with this one,
esp because of this docstring at the top:
Note: This module only includes PRIMARY endpoint configurations from .env_example. Alias configurations (those using ${...} syntax) are excluded since they reference other primary configurations.

run_initializers_async is a new public API surface but there are no unit tests covering its behavior (e.g., that it loads initializers from scripts, executes in execution_order, and does not reset defaults / reinitialize memory). Since initialize_pyrit_async already has orchestration tests, consider adding focused tests for this new function as well.

The run_initializers_async docstring says it raises ValueError when scripts cannot be loaded, but _load_initializers_from_scripts() can also raise FileNotFoundError (and potentially other exceptions during import). Please update the Raises: section to reflect the actual exception types callers should handle.

test_init_with_defaults asserts FrontendCore()._initializer_names == ["airt", "airt_targets"], but ConfigurationLoader.load_with_overrides() defaults to an empty initializer list when ~/.pyrit/.pyrit_conf does not exist. That means _initializer_names will typically be None, making this test dependent on a developer machine’s home directory state and likely to fail on CI. Consider patching pyrit.setup.configuration_loader.DEFAULT_CONFIG_PATH.exists() to False (or passing an explicit temporary config_file) and asserting the deterministic default instead.

this key var will be removed right ?

we should keep the key here imo, if it exists in the .env we should load it. For our team, if we don't have a key, we should remove it from .env

probably too big for here, but one thing on my mind is it'd be nice to pass constructor arguments to initializers

Also probably execution order; rn it's built into the class but maybe it should actually be the order we call it or something.

I'm a little worried about this as is. I think there are three things we need to make sure we've thought through:

1. Idempotency: There are initializers that can re-register or duplicate things if you re-run
2. reset_default_values: Right now this is called on setup, but if we run initializers directly this is not wiped clean. E.g. if you run SimpleInitializer and then later AIRTInitializer they can both set the same converter_target on overlapping scopes. Without a reset, you get states that are tricky to debug.
3. Precondition enforcement: We'd need to verify initialize_pyrit is called first, env files are loaded, etc.

Because these are all lumped together, I like keeping it bundled. There is some performance hit because we're nuking the state and resetting things, reloading env... but I don't think it's a huge deal. And in some ways it's nice (e.g. if we update the .env file). It's a bit awkard to re-call, but I think it makes it less error prone.

The biggest reason I think we'd want to separate is if we're doing additive initializer execution, but I don't think that's something we want near term?

FrontendCore.run_initializers_async() instantiates initializers as self.initializer_registry.get_class(name)() (no constructor args). Since ConfigurationLoader supports initializer configs with optional args (InitializerConfig.args), config-file initialization currently can’t pass initializer parameters through FrontendCore. Consider preserving initializer configs (name + args) from ConfigurationLoader and instantiating with initializer_class(**args) when provided (or delegating to a ConfigurationLoader resolver) so --config-file can fully express initializer configuration.

run_scenario_async previously called initialize_pyrit_async(...) before each scenario run, which reloads env files and (critically) calls reset_default_values() to ensure initializer-applied defaults don’t leak between runs. The new flow (await context.run_initializers_async()) skips that reset/re-init step, so defaults and registry state set by initializers can accumulate across scenarios in the same process (and repeated runs may not be idempotent). Consider either keeping the per-run initialize_pyrit_async(...) call, or adding an explicit reset/reload option (e.g., call reset_default_values() and reload env) when running initializers for a scenario.

The video target config is now registered as openai_video and reads OPENAI_VIDEO_* env vars, but the initializer’s own docstring still documents AZURE_OPENAI_VIDEO_* and multiple integration tests reference AZURE_OPENAI_VIDEO_ENDPOINT/KEY/MODEL. This is a breaking change and will likely cause existing env setups/tests to fail. Consider keeping the azure_openai_video registry name and AZURE_OPENAI_VIDEO_* variables, or supporting both AZURE_OPENAI_VIDEO_* and OPENAI_VIDEO_* for backward compatibility (and update the docstring accordingly).

run_initializers_async is now exported as a public setup API and is used as a lighter-weight alternative to initialize_pyrit_async, but it does not call reset_default_values() (which initialize_pyrit_async does before executing initializers). That distinction is easy to miss and can lead to confusing state leakage when callers run initializers multiple times. Consider explicitly documenting this in the docstring (and/or offering a reset_defaults flag) so callers can choose between clean-state and additive execution.