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feat(eval api): (2.2/n) delete eval / scoring / scoring_fn apis (#1700)

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# What does this PR do?
- To make it easier, delete existing `eval/scoring/scoring_function`
apis. There will be a bunch of broken impls here. The sequence is:
1. migrate benchmark graders
2. clean up existing scoring functions

- Add a skeleton evaluation impl to make tests pass. 

## Test Plan
tested in following PRs

[//]: # (## Documentation)
This commit is contained in:
Xi Yan 2025-03-19 11:04:23 -07:00 • committed by GitHub
parent 0048274ec0
commit c1d18283d2
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113 changed files with 408 additions and 3900 deletions
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60
llama_stack/templates/open-benchmark/open_benchmark.py
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@ -9,7 +9,6 @@ from typing import Dict, List, Tuple
from llama_stack.apis.datasets import DatasetPurpose, URIDataSource
from llama_stack.apis.models.models import ModelType
from llama_stack.distribution.datatypes import (
BenchmarkInput,
DatasetInput,
ModelInput,
Provider,
@ -102,9 +101,7 @@ def get_distribution_template() -> DistributionTemplate:
"safety": ["inline::llama-guard"],
"agents": ["inline::meta-reference"],
"telemetry": ["inline::meta-reference"],
"eval": ["inline::meta-reference"],
"datasetio": ["remote::huggingface", "inline::localfs"],
"scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
"tool_runtime": [
"remote::brave-search",
"remote::tavily-search",
@ -210,33 +207,35 @@ def get_distribution_template() -> DistributionTemplate:
),
]
default_benchmarks = [
BenchmarkInput(
benchmark_id="meta-reference-simpleqa",
dataset_id="simpleqa",
grader_ids=["llm-as-judge::405b-simpleqa"],
),
BenchmarkInput(
benchmark_id="meta-reference-mmlu-cot",
dataset_id="mmlu_cot",
grader_ids=["basic::regex_parser_multiple_choice_answer"],
),
BenchmarkInput(
benchmark_id="meta-reference-gpqa-cot",
dataset_id="gpqa_cot",
grader_ids=["basic::regex_parser_multiple_choice_answer"],
),
BenchmarkInput(
benchmark_id="meta-reference-math-500",
dataset_id="math_500",
grader_ids=["basic::regex_parser_math_response"],
),
BenchmarkInput(
benchmark_id="meta-reference-bfcl",
dataset_id="bfcl",
grader_ids=["basic::bfcl"],
),
]
# TODO(xiyan): fix this back as registerable resources
# default_benchmarks = [
# BenchmarkInput(
# benchmark_id="meta-reference-simpleqa",
# dataset_id="simpleqa",
# grader_ids=["llm-as-judge::405b-simpleqa"],
# ),
# BenchmarkInput(
# benchmark_id="meta-reference-mmlu-cot",
# dataset_id="mmlu_cot",
# grader_ids=["basic::regex_parser_multiple_choice_answer"],
# ),
# BenchmarkInput(
# benchmark_id="meta-reference-gpqa-cot",
# dataset_id="gpqa_cot",
# grader_ids=["basic::regex_parser_multiple_choice_answer"],
# ),
# BenchmarkInput(
# benchmark_id="meta-reference-math-500",
# dataset_id="math_500",
# grader_ids=["basic::regex_parser_math_response"],
# ),
# BenchmarkInput(
# benchmark_id="meta-reference-bfcl",
# dataset_id="bfcl",
# grader_ids=["basic::bfcl"],
# ),
# ]
return DistributionTemplate(
name=name,
distro_type="self_hosted",
@ -255,7 +254,6 @@ def get_distribution_template() -> DistributionTemplate:
default_tool_groups=default_tool_groups,
default_shields=[ShieldInput(shield_id="meta-llama/Llama-Guard-3-8B")],
default_datasets=default_datasets,
default_benchmarks=default_benchmarks,
),
},
run_config_env_vars={