llama-stack/llama_stack/distribution/ui/modules/api.py
Xi Yan c1d18283d2
feat(eval api): (2.2/n) delete eval / scoring / scoring_fn apis (#1700)
# 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)
2025-03-19 11:04:23 -07:00

35 lines
1.3 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import os
from typing import Optional
from llama_stack_client import LlamaStackClient
class LlamaStackApi:
def __init__(self):
self.client = LlamaStackClient(
base_url=os.environ.get("LLAMA_STACK_ENDPOINT", "http://localhost:8321"),
provider_data={
"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY", ""),
"together_api_key": os.environ.get("TOGETHER_API_KEY", ""),
"sambanova_api_key": os.environ.get("SAMBANOVA_API_KEY", ""),
"openai_api_key": os.environ.get("OPENAI_API_KEY", ""),
},
)
def run_scoring(self, row, scoring_function_ids: list[str], scoring_params: Optional[dict]):
"""Run scoring on a single row"""
if not scoring_params:
scoring_params = {fn_id: None for fn_id in scoring_function_ids}
# TODO(xiyan): fix this
# return self.client.scoring.score(input_rows=[row], scoring_functions=scoring_params)
raise NotImplementedError("Scoring is not implemented")
llama_stack_api = LlamaStackApi()