forked from phoenix-oss/llama-stack-mirror
b1a63df8cd
# What does this PR do? - Move Llama Stack Playground UI to llama-stack repo under llama_stack/distribution - Original PR in llama-stack-apps: https://github.com/meta-llama/llama-stack-apps/pull/127 ## Test Plan ``` cd llama-stack/llama_stack/distribution/ui streamlit run app.py ``` ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [ ] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests.
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import os
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from typing import Optional
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from llama_stack_client import LlamaStackClient
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class LlamaStackEvaluation:
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def __init__(self):
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self.client = LlamaStackClient(
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base_url=os.environ.get("LLAMA_STACK_ENDPOINT", "http://localhost:5000"),
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provider_data={
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"fireworks_api_key": os.environ.get("FIREWORKS_API_KEY", ""),
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"together_api_key": os.environ.get("TOGETHER_API_KEY", ""),
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"openai_api_key": os.environ.get("OPENAI_API_KEY", ""),
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},
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)
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def list_scoring_functions(self):
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"""List all available scoring functions"""
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return self.client.scoring_functions.list()
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def list_models(self):
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"""List all available judge models"""
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return self.client.models.list()
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def run_scoring(
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self, row, scoring_function_ids: list[str], scoring_params: Optional[dict]
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):
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"""Run scoring on a single row"""
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if not scoring_params:
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scoring_params = {fn_id: None for fn_id in scoring_function_ids}
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return self.client.scoring.score(
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input_rows=[row], scoring_functions=scoring_params
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)
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