forked from phoenix-oss/llama-stack-mirror
b2b00a216b
# What does this PR do? switch sambanova inference adaptor to LiteLLM usage to simplify integration and solve issues with current adaptor when streaming and tool calling, models and templates updated ## Test Plan pytest -s -v tests/integration/inference/test_text_inference.py --stack-config=sambanova --text-model=sambanova/Meta-Llama-3.3-70B-Instruct pytest -s -v tests/integration/inference/test_vision_inference.py --stack-config=sambanova --vision-model=sambanova/Llama-3.2-11B-Vision-Instruct
37 lines
1 KiB
Python
37 lines
1 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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from typing import Any
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from pydantic import BaseModel, Field, SecretStr
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from llama_stack.schema_utils import json_schema_type
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class SambaNovaProviderDataValidator(BaseModel):
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sambanova_api_key: str | None = Field(
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default=None,
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description="Sambanova Cloud API key",
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)
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@json_schema_type
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class SambaNovaImplConfig(BaseModel):
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url: str = Field(
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default="https://api.sambanova.ai/v1",
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description="The URL for the SambaNova AI server",
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)
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api_key: SecretStr | None = Field(
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default=None,
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description="The SambaNova cloud API Key",
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)
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@classmethod
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def sample_run_config(cls, api_key: str = "${env.SAMBANOVA_API_KEY}", **kwargs) -> dict[str, Any]:
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return {
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"url": "https://api.sambanova.ai/v1",
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"api_key": api_key,
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}
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