chenmingxuan
2ddec53954
Localize the web console and persist custom model and capability settings. Use OpenAI Responses exclusively and move runtime limits into environment configuration. Bootstrap uv and the virtual environment on Windows, support optional China mirrors, and package source distributions without environments, build output, or credentials. Update regression tests and repository quality checks for the new behavior.
84 lines
2.8 KiB
Python
84 lines
2.8 KiB
Python
# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import asyncio
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from artemis.agents.planner.planner import run_async_planner_validation
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from pathlib import Path
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class DummyDataEngine:
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def get_agent_friendly_steps(self):
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return []
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class DummyCtx:
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data_engine = DummyDataEngine()
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project_dir = str(Path(__file__).resolve().parents[2])
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import pytest
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from unittest.mock import AsyncMock, MagicMock, patch
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from artemis.agents.planner.planner import ValidationResult
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@pytest.mark.asyncio
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async def test_planner_validation():
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content_before = "- [/] Click the button\n- [ ] Complete task"
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content_after = (
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"- [/] Click the button\n- [ ] Complete task\n- [ ] New subgoal appended at bottom"
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)
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mock_llm = MagicMock()
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mock_structured = MagicMock()
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mock_structured.ainvoke = AsyncMock(
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return_value=ValidationResult(is_approved=True, feedback="Valid plan modification")
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)
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mock_llm.with_structured_output.return_value = mock_structured
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with patch("artemis.agents.planner.planner.get_llm", return_value=mock_llm) as get_llm:
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res = await run_async_planner_validation(
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ctx=DummyCtx(),
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initial_goal="Do the task",
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content_before=content_before,
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content_after=content_after,
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operator_raw_thinking="I need to add a new subgoal",
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operator_native_thinking="Thinking...",
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)
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assert res is not None
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assert res.get("status") == "success"
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# The review runs on the lightweight judge node, never the Planner model.
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assert get_llm.call_args.kwargs.get("name") == "planner_validation"
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def test_planner_validation_node_defaults_to_lightweight_judge():
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"""Unconfigured planner_validation resolves to the same flash-lite default
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as the pixel safety net (cheap, temperature 0)."""
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from artemis.config import get_default_llm_config
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llm_cfg = get_default_llm_config()
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node = llm_cfg.get_agent("planner_validation")
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safety_net = llm_cfg.get_agent("validator_pixel_safety_net")
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assert node.model == safety_net.model
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assert node.provider == safety_net.provider
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assert node.temperature == 0.0
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from artemis.config.settings import settings
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assert node.provider == "openai"
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assert node.model == settings.OPENAI_MODEL
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if __name__ == "__main__":
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asyncio.run(test_planner_validation())
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