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Copy pathimo_proofbench_judge.yaml
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59 lines (56 loc) · 2.17 KB
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imo_proofbench_judge:
resources_servers:
imo_proofbench_judge:
entrypoint: app.py
domain: math
verified: false
description: IMO ProofBench grader using a strong LLM judge with the IMO 0-7 rubric
value: Score IMO-style proof submissions with a problem-specific grading rubric
judge_model_server:
type: responses_api_models
name: judge_model
judge_responses_create_params:
input: []
# Gemini-2.5-pro uses internal thinking that draws from this budget;
# 4096 truncates mid-analysis before the `<points>N out of 7</points>`
# block that the prompt requires. 16384 leaves room for reasoning +
# the structured score line.
max_output_tokens: 16384
temperature: 0.0
top_p: 1.0
use_chat_completions_for_judge: true
judge_model:
responses_api_models:
openai_model:
entrypoint: app.py
openai_base_url: ${judge_base_url}
openai_api_key: ${judge_api_key}
openai_model: ${judge_model_name}
imo_proofbench_judge_simple_agent:
responses_api_agents:
simple_agent:
entrypoint: app.py
resources_server:
type: resources_servers
name: imo_proofbench_judge
model_server:
type: responses_api_models
name: policy_model
datasets:
- name: example
type: example
jsonl_fpath: resources_servers/imo_proofbench_judge/data/example.jsonl
license: Apache 2.0
# Default-null judge config keys so OmegaConf can resolve the
# `${judge_base_url}` / `${judge_api_key}` / `${judge_model_name}`
# interpolations on the `judge_model` server even when the consumer
# doesn't supply them. `gym eval prepare` reads the merged config
# but doesn't instantiate the judge — without these defaults, prepare
# crashes with `InterpolationKeyError` before prepare.py runs. CLI
# overrides (`+judge_base_url=…`) supersede the null at server launch.
# Kept at the END of the file so `update_env_list.py`'s YAML visitor
# (which recurses only into the FIRST top-level key) still finds the
# `imo_proofbench_judge` resources_servers block above.
judge_base_url: null
judge_api_key: null
judge_model_name: null