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https://github.com/Sea-Haven-Industries/open-swe.git
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4e6c445246
* feat: upgrade default agent + reviewer model to Opus 4.8 Replace Opus 4.7 with Opus 4.8 (claude-opus-4-8) as the supported Anthropic model surfaced in the profile editor and used by the main agent and reviewer graphs. Effort levels (low/medium/high/xhigh/max) and the high default are unchanged, matching the official Opus 4.8 docs. Updates eval config comment and tests accordingly. * fix: provider-aware fallback for stale stored model ids Dropping claude-opus-4-7 from the supported set meant persisted profile/team-settings still holding it failed the SUPPORTED_MODEL_IDS check and fell through to default_model_pair() — a cross-provider jump to the OpenAI global default. Add provider_fallback_pair: when a stored id is no longer supported but its provider still has a supported model, resolve to that provider's newest supported model (anthropic:claude-opus-4-7 -> 4.8), preserving effort when valid. Resolution order is now: valid stored pair -> same-provider fallback -> global default_model_pair(). Profile overrides keep deferring to the team default when no model is set or the provider is unknown.
125 lines
3.5 KiB
Python
125 lines
3.5 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-4-8")
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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-4-8"
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assert configurable["reviewer_reasoning_effort"] == "high"
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def _result_with_findings(findings: list[dict[str, Any]]) -> dict[str, Any]:
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return {"messages": [{"tool_calls": [{"name": "add_finding", "args": f} for f in findings]}]}
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def test_extract_comments_includes_all_confidences() -> None:
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result = _result_with_findings(
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[
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{
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"file": "a.py",
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"severity": "high",
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"confidence": "low",
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"description": "lo",
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"start_line": 1,
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"end_line": 1,
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},
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{
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"file": "b.py",
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"severity": "high",
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"confidence": "high",
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"description": "hi",
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"start_line": 2,
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"end_line": 2,
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},
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]
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)
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comments = target._extract_comments(result)
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assert {c["file"] for c in comments} == {"a.py", "b.py"}
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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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confidence="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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confidence="high",
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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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