When interactive mode is enabled (TUI), the guard that prevents sending a
trailing assistant message to the Anthropic API was incorrectly skipped. The
Anthropic API rejects such requests with
"This model does not support assistant message prefill." regardless of
whether the caller is in interactive or non-interactive mode.
Updated the condition to also apply the guard when `_is_anthropic()` is
true, so Anthropic models are always protected while non-Anthropic models
that may support assistant prefill continue to be unaffected in interactive
mode.
Added three unit tests covering all three branches of the new condition.
Co-Authored-By: Octopus <liyuan851277048@icloud.com>
* fix: --config flag now fully overrides ~/.strix/cli-config.json (fixes#377)
Previously, env vars applied from the default config at module import time
were not cleared when --config was later processed, causing settings from
~/.strix/cli-config.json to leak into runs that specified a custom config.
Track which vars were applied by the initial default-config load in
Config._applied_from_default. In apply_config_override, clear those vars
before applying the custom config so only the custom file's settings take effect.
* Add config override regression test
* Make config override test setup explicit
---------
Co-authored-by: octo-patch <octo-patch@github.com>
Co-authored-by: bearsyankees <bearsyankees@gmail.com>
- Change default model from gpt-5 to gpt-5.4 across docs, tests, and examples
- Remove Strix Router references from docs, quickstart, overview, and README
- Delete models.mdx (Strix Router page) and its nav entry
- Simplify install script to suggest openai/ prefix directly
- Keep strix/ model routing support intact in code
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add comprehensive test suite for the argument_parser module including:
- Tests for _convert_to_bool with truthy/falsy values
- Tests for _convert_to_list with JSON and comma-separated inputs
- Tests for _convert_to_dict with valid/invalid JSON
- Tests for convert_string_to_type with various type annotations
- Tests for convert_arguments with typed functions
- Tests for ArgumentConversionError exception class
This establishes the foundation for the project's test infrastructure
with pytest configuration already in place.
