forked from phoenix-oss/llama-stack-mirror
# What does this PR do? This PR introduces more non-llama model support to llama stack. Providers introduced: openai, anthropic and gemini. All of these providers use essentially the same piece of code -- the implementation works via the `litellm` library. We will expose only specific models for providers we enable making sure they all work well and pass tests. This setup (instead of automatically enabling _all_ providers and models allowed by LiteLLM) ensures we can also perform any needed prompt tuning on a per-model basis as needed (just like we do it for llama models.) ## Test Plan ```bash #!/bin/bash args=("$@") for model in openai/gpt-4o anthropic/claude-3-5-sonnet-latest gemini/gemini-1.5-flash; do LLAMA_STACK_CONFIG=dev pytest -s -v tests/client-sdk/inference/test_text_inference.py \ --embedding-model=all-MiniLM-L6-v2 \ --vision-inference-model="" \ --inference-model=$model "${args[@]}" done ```
22 lines
657 B
Python
22 lines
657 B
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 .config import OpenAIConfig
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from .models import MODEL_ENTRIES
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class OpenAIInferenceAdapter(LiteLLMOpenAIMixin):
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def __init__(self, config: OpenAIConfig) -> None:
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LiteLLMOpenAIMixin.__init__(self, MODEL_ENTRIES)
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self.config = config
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async def initialize(self) -> None:
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pass
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async def shutdown(self) -> None:
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pass
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