mirror of
https://github.com/meta-llama/llama-stack.git
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98 lines
2.9 KiB
Python
98 lines
2.9 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 functools import lru_cache
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from typing import List, Optional
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from llama_toolchain.inference.adapters import available_inference_adapters
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from .datatypes import ApiSurface, Distribution, PassthroughApiAdapter
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# This is currently duplicated from `requirements.txt` with a few minor changes
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# dev-dependencies like "ufmt" etc. are nuked. A few specialized dependencies
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# are moved to the appropriate distribution.
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COMMON_DEPENDENCIES = [
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"accelerate",
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"black==24.4.2",
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"blobfile",
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"codeshield",
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"fairscale",
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"fastapi",
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"fire",
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"flake8",
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"httpx",
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"huggingface-hub",
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"hydra-core",
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"hydra-zen",
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"json-strong-typing",
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"git+ssh://git@github.com/meta-llama/llama-models.git",
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"omegaconf",
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"pandas",
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"Pillow",
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"pydantic==1.10.13",
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"pydantic_core==2.18.2",
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"python-dotenv",
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"python-openapi",
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"requests",
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"tiktoken",
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"torch",
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"transformers",
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"uvicorn",
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]
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@lru_cache()
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def available_distributions() -> List[Distribution]:
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inference_adapters_by_id = {a.adapter_id: a for a in available_inference_adapters()}
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return [
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Distribution(
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name="local-source",
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description="Use code from `llama_toolchain` itself to serve all llama stack APIs",
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additional_pip_packages=COMMON_DEPENDENCIES,
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adapters={
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ApiSurface.inference: inference_adapters_by_id["meta-reference"],
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},
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),
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Distribution(
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name="full-passthrough",
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description="Point to remote services for all llama stack APIs",
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additional_pip_packages=[
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"python-dotenv",
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"blobfile",
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"codeshield",
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"fairscale",
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"fastapi",
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"fire",
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"flake8",
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"httpx",
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"huggingface-hub",
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],
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adapters={
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ApiSurface.inference: PassthroughApiAdapter(
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api_surface=ApiSurface.inference,
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adapter_id="inference-passthrough",
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base_url="http://localhost:5001",
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),
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},
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),
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Distribution(
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name="local-ollama",
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description="Like local-source, but use ollama for running LLM inference",
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additional_pip_packages=COMMON_DEPENDENCIES,
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adapters={
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ApiSurface.inference: inference_adapters_by_id["meta-ollama"],
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},
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),
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]
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@lru_cache()
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def resolve_distribution(name: str) -> Optional[Distribution]:
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for dist in available_distributions():
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if dist.name == name:
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return dist
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return None
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