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* 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
94 lines
2.6 KiB
Python
94 lines
2.6 KiB
Python
from __future__ import annotations
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from typing import Any
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import pytest
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from agent.reviewer_findings import new_finding
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from evals.reviewer import target
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def test_eval_target_marks_runs_as_eval_dry_run(monkeypatch: pytest.MonkeyPatch) -> None:
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monkeypatch.delenv("REVIEWER_EVAL_MODEL_ID", raising=False)
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monkeypatch.delenv("REVIEWER_EVAL_REASONING_EFFORT", raising=False)
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configurable = target._build_configurable(
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{
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"repo": "acme/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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"head_ref": "branch",
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}
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)
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assert configurable["reviewer_eval"] is True
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assert configurable["eval"] is True
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assert configurable["__is_for_execution__"] is True
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assert "source" not in configurable
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def test_eval_target_passes_model_overrides(monkeypatch: pytest.MonkeyPatch) -> None:
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monkeypatch.setenv("REVIEWER_EVAL_MODEL_ID", "anthropic:claude-opus-4-7")
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monkeypatch.setenv("REVIEWER_EVAL_REASONING_EFFORT", "high")
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configurable = target._build_configurable(
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{
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"repo": "acme/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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"head_ref": "branch",
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}
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)
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assert configurable["reviewer_model_id"] == "anthropic:claude-opus-4-7"
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assert configurable["reviewer_reasoning_effort"] == "high"
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@pytest.mark.asyncio
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async def test_extract_surfaced_comments_uses_publish_filter(
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monkeypatch: pytest.MonkeyPatch,
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) -> None:
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high = new_finding(
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severity="high",
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category="correctness",
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file="a.py",
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start_line=10,
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end_line=10,
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description="high signal",
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sha="head",
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finding_id="f_high",
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)
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low = new_finding(
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severity="low",
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category="style",
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file="b.py",
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start_line=20,
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end_line=20,
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description="low signal",
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sha="head",
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finding_id="f_low",
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)
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class Threads:
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async def get(self, _thread_id: str) -> dict[str, Any]:
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return {"metadata": {"findings": [high, low]}}
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class Client:
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threads = Threads()
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monkeypatch.setenv("REVIEWER_EVAL_SEVERITY_THRESHOLD", "medium")
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monkeypatch.setenv("REVIEWER_EVAL_CAP", "4")
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comments = await target._extract_surfaced_comments(Client(), "tid")
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assert comments == [
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{
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"file": "a.py",
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"line": 10,
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"body": "high signal",
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"severity": "high",
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}
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]
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