* refactor(agent): make create_cli_agent(config=, chat_model=) pure
Re-applies the #183 purity refactor on top of the observation-memory
lifecycle that landed in #259, integrating the two cleanly.
create_cli_agent gains a pure path: when both `config` and `chat_model`
are passed it builds the agent entirely from locals and writes none of
the cached module globals (`_config`, `_chat_model`, `_chat_model_key`,
`_EvoScientist_agent`). `/model` commits the switch via
`set_active_config` / `set_chat_model_instance` only after a successful
build, so a failed rebuild leaves the session on the original model
(replaces the old snapshot/restore rollback).
Supporting changes:
- Extract `set_active_config` (write-half of `_ensure_config`),
`_apply_env_from_config`, `_build_chat_model`, and
`set_chat_model_instance`.
- Thread `cfg` / `chat_model` through `_get_default_middleware`,
`_build_base_kwargs`, `load_mcp_and_build_kwargs`,
`_maybe_swap_async_subagents`, and `_inject_subagent_middleware` so the
pure path never falls back to the global-writing `_ensure_config()` /
`_ensure_chat_model()`.
- Integrate with #259's memory middleware: subagent context-editing
middleware binds the threaded `chat_model`, and the configured system
prompt / memory controls read the threaded `cfg` (new threading vs the
original #183, required because #259 made these paths read config).
- Consolidate `cfg` resolution to one `cfg if cfg is not None else
_ensure_config()` at the top of each kwargs builder, matching the
pattern already used in the other config-aware helpers.
* fix(agent): keep pure tool selector off global cache
* fix(model): apply config switch in place to preserve reference integrity
---------
Co-authored-by: Xi Zhang <106144707+X-iZhang@users.noreply.github.com>
Co-authored-by: X-iZhang <zacharyzhang2022@gmail.com>
* feat(middleware): reposition code interpreter middleware in the stack
* feat(models): add qwen3.7-plus model entry and update context window comment
* feat(models): add qwen3.7-max and qwen3.7-plus model entries for DashScope
* feat(auxiliary): implement auxiliary model support for background tasks and tool selection
- Added auxiliary model configuration to EvoScientistConfig.
- Introduced _ensure_auxiliary_chat_model function to manage auxiliary model instances.
- Updated onboarding steps to include auxiliary model selection.
- Modified middleware to route tool selection to the auxiliary model when applicable.
- Enhanced tests to cover auxiliary model functionality and configuration.
* feat(steps): update UI backend selection options and descriptions
* Refactor code structure for improved readability and maintainability
* feat(patches): implement OpenRouter response reasoning item stripping to prevent multi-turn errors
* feat: update version to v0.1.4 in badges, README, and pyproject.toml; adjust skill counts in steps.py
* feat(config): add auxiliary model and provider environment variables to test setup
Ziheng Zhang