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https://github.com/meta-llama/llama-stack.git
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9e6561a1ec
# What does this PR do? The goal of this PR is code base modernization. Schema reflection code needed a minor adjustment to handle UnionTypes and collections.abc.AsyncIterator. (Both are preferred for latest Python releases.) Note to reviewers: almost all changes here are automatically generated by pyupgrade. Some additional unused imports were cleaned up. The only change worth of note can be found under `docs/openapi_generator` and `llama_stack/strong_typing/schema.py` where reflection code was updated to deal with "newer" types. Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
32 lines
1.2 KiB
Python
32 lines
1.2 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 llama_stack_client import LlamaStackClient
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class LlamaStackApi:
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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:8321"),
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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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"sambanova_api_key": os.environ.get("SAMBANOVA_API_KEY", ""),
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"openai_api_key": os.environ.get("OPENAI_API_KEY", ""),
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"tavily_search_api_key": os.environ.get("TAVILY_SEARCH_API_KEY", ""),
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},
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)
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def run_scoring(self, row, scoring_function_ids: list[str], scoring_params: dict | None):
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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(input_rows=[row], scoring_functions=scoring_params)
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llama_stack_api = LlamaStackApi()
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