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59 lines
1.9 KiB
Python
59 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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import logging
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from anthropic import AsyncAnthropic, NotFoundError
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from llama_stack.providers.utils.inference.litellm_openai_mixin import LiteLLMOpenAIMixin
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from .config import AnthropicConfig
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from .models import MODEL_ENTRIES
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logger = logging.getLogger(__name__)
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class AnthropicInferenceAdapter(LiteLLMOpenAIMixin):
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def __init__(self, config: AnthropicConfig) -> None:
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LiteLLMOpenAIMixin.__init__(
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self,
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MODEL_ENTRIES,
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api_key_from_config=config.api_key,
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provider_data_api_key_field="anthropic_api_key",
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)
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self.config = config
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self._client: AsyncAnthropic | None = None
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async def initialize(self) -> None:
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await super().initialize()
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async def shutdown(self) -> None:
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# Clean up the client connection pool
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if self._client:
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await self._client.aclose()
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self._client = None
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await super().shutdown()
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@property
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def client(self) -> AsyncAnthropic:
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if self._client is None:
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api_key = self.config.api_key if self.config.api_key else "no-key"
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self._client = AsyncAnthropic(api_key=api_key)
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return self._client
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async def check_model_availability(self, model: str) -> bool:
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try:
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retrieved_model = await self.client.models.retrieve(model)
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logger.info(f"Model {retrieved_model.id} is available on Anthropic")
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return True
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except NotFoundError:
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logger.info(f"Model {model} was not found on Anthropic")
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except Exception as e:
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logger.error(f"Failed to check model availability for {model} on Anthropic: {e}")
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return False
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