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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
60 lines
2.1 KiB
Python
60 lines
2.1 KiB
Python
from __future__ import annotations
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import os
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from unittest.mock import patch
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from evals.reviewer.run_eval import _apply_config_to_env, _coerce_config
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def test_reviewer_eval_config_coerces_known_values() -> None:
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config = _coerce_config(
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{
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"dataset_name": "dataset",
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"experiment_prefix": "experiment",
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"max_concurrency": 2,
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"langgraph_url": "https://example.test",
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"assistant_id": "reviewer",
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"model_id": "anthropic:claude-opus-4-7",
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"reasoning_effort": "high",
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"score_mode": "surfaced_findings",
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"severity_threshold": "medium",
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"cap": 4,
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"unknown": "ignored",
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}
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)
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assert config == {
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"dataset_name": "dataset",
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"experiment_prefix": "experiment",
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"max_concurrency": 2,
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"langgraph_url": "https://example.test",
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"assistant_id": "reviewer",
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"model_id": "anthropic:claude-opus-4-7",
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"reasoning_effort": "high",
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"score_mode": "surfaced_findings",
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"severity_threshold": "medium",
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"cap": 4,
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}
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def test_reviewer_eval_config_sets_target_env() -> None:
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with patch.dict(os.environ, {}, clear=True):
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_apply_config_to_env(
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{
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"langgraph_url": "https://example.test",
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"assistant_id": "reviewer",
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"model_id": "anthropic:claude-opus-4-7",
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"reasoning_effort": "high",
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"score_mode": "surfaced_findings",
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"severity_threshold": "high",
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"cap": 3,
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}
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)
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assert os.environ["LANGGRAPH_URL"] == "https://example.test"
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assert os.environ["REVIEWER_ASSISTANT_ID"] == "reviewer"
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assert os.environ["REVIEWER_EVAL_MODEL_ID"] == "anthropic:claude-opus-4-7"
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assert os.environ["REVIEWER_EVAL_REASONING_EFFORT"] == "high"
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assert os.environ["REVIEWER_EVAL_SCORE_MODE"] == "surfaced_findings"
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assert os.environ["REVIEWER_EVAL_SEVERITY_THRESHOLD"] == "high"
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assert os.environ["REVIEWER_EVAL_CAP"] == "3"
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