mirror of
https://github.com/Sea-Haven-Industries/open-swe.git
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834efbc33c
* feat: tighten reviewer eval workflow Require the reviewer to verify and dedupe findings before recording them, and make benchmark runs safe to execute against deployed reviewer graphs without posting GitHub reviews. * chore: move reviewer eval settings to config Load reviewer benchmark settings from the default eval config file so deployed eval runs do not require a wide CLI surface. * feat: allow reviewer eval model overrides Pass reviewer model and reasoning effort from the eval config into reviewer runs so isolated benchmark deployments can test Opus 4.7 high thinking. * fix: use adaptive thinking for Opus 4.7 Switch Opus 4.7 model overrides to Anthropic adaptive thinking with effort instead of the deprecated budgeted thinking payload rejected by the API. * refactor: use latest Anthropic effort API Remove legacy Anthropic budget-token thinking support and route Anthropic efforts through adaptive thinking plus effort. * revert prompting
95 lines
3.1 KiB
Python
95 lines
3.1 KiB
Python
from __future__ import annotations
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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from langgraph.graph.state import RunnableConfig
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from agent import reviewer
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class _DummyAgent:
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def with_config(self, config: dict[str, object]) -> _DummyAgent:
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self.config = config
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return self
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@pytest.mark.asyncio
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async def test_reviewer_uses_cached_thread_token_for_slack_review_request() -> None:
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config: RunnableConfig = {
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"configurable": {
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"__is_for_execution__": True,
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"thread_id": "reviewer-thread-id",
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"source": "slack",
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"review_requested": True,
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},
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"metadata": {},
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}
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dummy_agent = _DummyAgent()
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with (
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patch(
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"agent.reviewer.get_github_token_from_thread",
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new_callable=AsyncMock,
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return_value=("app-token", "encrypted-token", None),
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) as mock_get_thread_token,
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patch("agent.reviewer.resolve_github_token", new_callable=AsyncMock) as mock_resolve_token,
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patch(
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"agent.reviewer.ensure_sandbox_for_thread",
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new_callable=AsyncMock,
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return_value=MagicMock(),
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),
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patch(
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"agent.reviewer.aresolve_sandbox_work_dir",
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new_callable=AsyncMock,
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return_value="/workspace",
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),
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patch("agent.reviewer.make_model", return_value=MagicMock()),
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patch("agent.reviewer.create_deep_agent", return_value=dummy_agent),
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):
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await reviewer.get_reviewer_agent(config)
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metadata = config["metadata"]
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assert isinstance(metadata, dict)
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assert metadata["github_token_encrypted"] == "encrypted-token"
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mock_get_thread_token.assert_awaited_once_with("reviewer-thread-id")
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mock_resolve_token.assert_not_called()
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@pytest.mark.asyncio
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async def test_reviewer_applies_eval_model_and_effort_overrides() -> None:
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config: RunnableConfig = {
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"configurable": {
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"__is_for_execution__": True,
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"thread_id": "reviewer-thread-id",
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"repo": {"owner": "acme", "name": "repo"},
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"pr_number": 1,
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"pr_url": "https://github.com/acme/repo/pull/1",
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"base_sha": "base",
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"head_sha": "head",
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"reviewer_model_id": "anthropic:claude-opus-4-7",
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"reviewer_reasoning_effort": "high",
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},
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"metadata": {},
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}
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dummy_agent = _DummyAgent()
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with (
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patch(
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"agent.reviewer.ensure_sandbox_for_thread",
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new_callable=AsyncMock,
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return_value=MagicMock(),
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),
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patch(
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"agent.reviewer.aresolve_sandbox_work_dir",
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new_callable=AsyncMock,
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return_value="/workspace",
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),
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patch("agent.reviewer.make_model", return_value=MagicMock()) as make_model,
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patch("agent.reviewer.create_deep_agent", return_value=dummy_agent),
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):
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await reviewer.get_reviewer_agent(config)
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assert make_model.call_args.args == ("anthropic:claude-opus-4-7",)
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assert make_model.call_args.kwargs["thinking"] == {"type": "adaptive"}
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assert make_model.call_args.kwargs["effort"] == "high"
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