ModelRole collapses to "primary": every role (main, tool selector, memory
agents, subagents, summarizer) resolves to the snapshot's frozen primary
model, per design 6.1/8.3 — users typically configure a single usable LLM,
so compile-time auxiliary bindings were bypassing run snapshots and
mis-attributing usage. Legacy auxiliary keys in stored snapshots, registry
JSON, and thread metadata are tolerated on read and dropped.
BREAKING CHANGE: ThreadModelSelection no longer carries an auxiliary ref;
snapshot selection_hash is computed over {primary, reasoning_effort} only;
ConfigurableModelMiddleware(role="auxiliary") is rejected.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
- Remove legacy provider profiles, admin-token auth, /model command,
model picker widget, and config.yaml LLM fields (design doc section 10)
- Wire CLI/channels/cron and async sub-agents through the local snapshot
entry; run creation rejects model config outside runtime_snapshot_id
- Add periodic run-snapshot TTL cleanup to the config service lifespan
- Isolate tests from the real config dir and activate the registry where
run/model paths fail closed in bootstrap
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.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
m4