63969b596d
* 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
160 lines
5.8 KiB
Python
160 lines
5.8 KiB
Python
"""Tests for the auxiliary-model resolver and its middleware scoping.
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Covers ``EvoScientist.EvoScientist._ensure_auxiliary_chat_model`` (fallback to
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the main model when unset) and the wiring in ``_get_default_middleware`` that
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routes the main agent's tool selector to the auxiliary model while keeping
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context editing — and async sub-agents — on the main model.
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"""
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from types import SimpleNamespace
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from unittest.mock import MagicMock, patch
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import pytest
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import EvoScientist.EvoScientist as E
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@pytest.fixture(autouse=True)
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def _reset_model_caches(monkeypatch):
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"""Isolate the module-level model caches per test."""
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monkeypatch.setattr(E, "_chat_model", None, raising=False)
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monkeypatch.setattr(E, "_chat_model_key", None, raising=False)
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monkeypatch.setattr(E, "_auxiliary_chat_model", None, raising=False)
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monkeypatch.setattr(E, "_auxiliary_chat_model_key", None, raising=False)
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def _cfg(**over):
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base = {
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"model": "main-m",
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"provider": "main-p",
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"auxiliary_model": "",
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"auxiliary_provider": "",
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}
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base.update(over)
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return SimpleNamespace(**base)
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class TestAuxiliaryResolver:
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def test_empty_returns_main_instance(self, monkeypatch):
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main = object()
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monkeypatch.setattr(E, "_ensure_config", lambda config=None: _cfg())
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monkeypatch.setattr(E, "_ensure_chat_model", lambda: main)
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assert E._ensure_auxiliary_chat_model() is main
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def test_aux_equal_to_main_reuses_main_instance(self, monkeypatch):
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main = object()
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monkeypatch.setattr(
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E,
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"_ensure_config",
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lambda config=None: _cfg(
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auxiliary_model="main-m", auxiliary_provider="main-p"
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),
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)
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monkeypatch.setattr(E, "_ensure_chat_model", lambda: main)
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assert E._ensure_auxiliary_chat_model() is main
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def test_set_builds_auxiliary(self, monkeypatch):
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fake = object()
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get_chat_model = MagicMock(return_value=fake)
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monkeypatch.setattr(
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E,
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"_ensure_config",
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lambda config=None: _cfg(
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auxiliary_model="aux-m", auxiliary_provider="aux-p"
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),
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)
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monkeypatch.setattr("EvoScientist.llm.get_chat_model", get_chat_model)
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assert E._ensure_auxiliary_chat_model() is fake
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get_chat_model.assert_called_once_with(model="aux-m", provider="aux-p")
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def test_empty_provider_falls_back_to_main_provider(self, monkeypatch):
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get_chat_model = MagicMock(return_value=object())
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monkeypatch.setattr(
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E,
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"_ensure_config",
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lambda config=None: _cfg(auxiliary_model="aux-m", auxiliary_provider=""),
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)
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monkeypatch.setattr("EvoScientist.llm.get_chat_model", get_chat_model)
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E._ensure_auxiliary_chat_model()
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get_chat_model.assert_called_once_with(model="aux-m", provider="main-p")
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def test_set_chat_model_resets_aux_cache(self, monkeypatch):
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monkeypatch.setattr(E, "_auxiliary_chat_model", object(), raising=False)
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monkeypatch.setattr(E, "_auxiliary_chat_model_key", ("x", "y"), raising=False)
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monkeypatch.setattr(
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"EvoScientist.llm.get_chat_model", MagicMock(return_value=object())
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)
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E.set_chat_model("new-m", "new-p")
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assert E._auxiliary_chat_model is None
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assert E._auxiliary_chat_model_key is None
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def _mock_cfg():
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cfg = MagicMock()
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cfg.enable_ask_user = False
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cfg.auto_mode = False
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cfg.auto_approve = False
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cfg.model_fallbacks = None
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cfg.auxiliary_model = ""
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cfg.auxiliary_provider = ""
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return cfg
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class TestAuxiliaryMiddlewareScope:
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"""``_get_default_middleware`` routes only the right components to aux."""
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def _capture(self):
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cap: dict[str, object] = {}
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def fake_tool_selector(*args, model=None, **kwargs):
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cap["tool_selector"] = model
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return [MagicMock()]
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def fake_context_editing(model=None, *args, **kwargs):
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cap["context_editing"] = model
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return MagicMock()
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return cap, fake_tool_selector, fake_context_editing
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def test_main_agent_tool_selector_aux_context_editing_main(self):
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cap, fake_ts, fake_ce = self._capture()
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main_model, aux_model = object(), object()
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with (
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patch.object(E, "_ensure_config", return_value=_mock_cfg()),
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patch.object(E, "_ensure_chat_model", return_value=main_model),
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patch.object(E, "_ensure_auxiliary_chat_model", return_value=aux_model),
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patch(
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"EvoScientist.middleware.create_tool_selector_middleware",
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side_effect=fake_ts,
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),
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patch(
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"EvoScientist.middleware.create_context_editing_middleware",
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side_effect=fake_ce,
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),
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):
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E._get_default_middleware()
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assert cap["tool_selector"] is aux_model
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assert cap["context_editing"] is main_model
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def test_async_subagent_tool_selector_stays_main(self):
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cap, fake_ts, fake_ce = self._capture()
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main_model, aux_model = object(), object()
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with (
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patch.object(E, "_ensure_config", return_value=_mock_cfg()),
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patch.object(E, "_ensure_chat_model", return_value=main_model),
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patch.object(E, "_ensure_auxiliary_chat_model", return_value=aux_model),
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patch(
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"EvoScientist.middleware.create_tool_selector_middleware",
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side_effect=fake_ts,
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),
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patch(
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"EvoScientist.middleware.create_context_editing_middleware",
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side_effect=fake_ce,
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),
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):
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E._get_default_middleware(for_async_subagent=True)
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assert cap["tool_selector"] is main_model
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assert cap["context_editing"] is main_model
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