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bf02cd846f
# What does this PR do? update SambaNova inference provider to use OpenAIMixin for openai-compat endpoints ## Test Plan ``` $ SAMBANOVA_API_KEY=... uv run llama stack build --image-type venv --providers inference=remote::sambanova --run ... $ LLAMA_STACK_CONFIG=http://localhost:8321 uv run --group test pytest -v -ra --text-model sambanova/Meta-Llama-3.3-70B-Instruct tests/integration/inference -k 'not store' ... FAILED tests/integration/inference/test_text_inference.py::test_text_chat_completion_tool_calling_tools_not_in_request[txt=sambanova/Meta-Llama-3.3-70B-Instruct-inference:chat_completion:tool_calling_tools_absent-True] - AttributeError: 'NoneType' object has no attribute 'delta' FAILED tests/integration/inference/test_text_inference.py::test_text_chat_completion_tool_calling_tools_not_in_request[txt=sambanova/Meta-Llama-3.3-70B-Instruct-inference:chat_completion:tool_calling_tools_absent-False] - llama_stack_client.InternalServerError: Error code: 500 - {'detail': 'Internal server error: An une... =========== 2 failed, 16 passed, 68 skipped, 8 deselected, 3 xfailed, 13 warnings in 15.85s ============ ``` the two failures also exist before this change. they are part of the deprecated inference.chat_completion tests that flow through litellm. they can be resolved later.
50 lines
1.9 KiB
Python
50 lines
1.9 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 llama_stack.providers.utils.inference.litellm_openai_mixin import LiteLLMOpenAIMixin
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from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin
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from .config import SambaNovaImplConfig
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from .models import MODEL_ENTRIES
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class SambaNovaInferenceAdapter(OpenAIMixin, LiteLLMOpenAIMixin):
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"""
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SambaNova Inference Adapter for Llama Stack.
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Note: The inheritance order is important here. OpenAIMixin must come before
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LiteLLMOpenAIMixin to ensure that OpenAIMixin.check_model_availability()
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is used instead of LiteLLMOpenAIMixin.check_model_availability().
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- OpenAIMixin.check_model_availability() queries the /v1/models to check if a model exists
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- LiteLLMOpenAIMixin.check_model_availability() checks the static registry within LiteLLM
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"""
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def __init__(self, config: SambaNovaImplConfig):
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self.config = config
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self.environment_available_models = []
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LiteLLMOpenAIMixin.__init__(
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self,
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model_entries=MODEL_ENTRIES,
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litellm_provider_name="sambanova",
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api_key_from_config=self.config.api_key.get_secret_value() if self.config.api_key else None,
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provider_data_api_key_field="sambanova_api_key",
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openai_compat_api_base=self.config.url,
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download_images=True, # SambaNova requires base64 image encoding
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json_schema_strict=False, # SambaNova doesn't support strict=True yet
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)
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# Delegate the client data handling get_api_key method to LiteLLMOpenAIMixin
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get_api_key = LiteLLMOpenAIMixin.get_api_key
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def get_base_url(self) -> str:
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"""
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Get the base URL for OpenAI mixin.
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:return: The SambaNova base URL
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"""
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return self.config.url
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