open-swe/evals/reviewer/config.toml
Adam Moussa 032d3889e4
fix: align reviewer eval with published findings (upstream #1713) (#201)
* fix: align reviewer eval with published findings (#1713)

* fix: make reviewer eval reflect published findings

Serialize and deduplicate finding persistence, align review calibration around the final six-finding publication, and make judge matching order-independent and auditable.

* fix: honor reviewer eval limits

Forward configured caps into publication snapshots and keep recall-at-cap bounded for diagnostic all-findings runs.

(cherry picked from commit 71e3b8183882bcc42e318f3f220c291617ebcb67)
Co-authored-by: Johannes du Plessis <johannes@langchain.dev>

* Empty commit to trigger CI

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Co-authored-by: Johannes du Plessis <johannes@langchain.dev>
2026-07-17 12:10:54 -04:00

22 lines
831 B
TOML

dataset_name = "openswe-reviewer-v1"
experiment_prefix = "openswe-review-confidence"
max_concurrency = 5
# LangSmith tracing project for eval runs. Keeps eval traces out of the
# deployment's production project.
langsmith_project = "open-swe-evals"
# Leave blank to use LANGGRAPH_URL or local dev.
langgraph_url = ""
assistant_id = "reviewer"
# models (post Bedrock/Fireworks migration): bedrock_converse:us.anthropic.claude-opus-4-8,
# or any fireworks:* id in agent/dashboard/options.py SUPPORTED_MODELS.
model_id = "bedrock_converse:us.anthropic.claude-opus-4-8"
reasoning_effort = "medium"
# score_mode:
# - "all_findings" — diagnostic mode for deduplicated add_finding calls.
# - "surfaced_findings" — score the exact final eval publication snapshot.
score_mode = "surfaced_findings"
severity_threshold = "low"
cap = 6