forked from phoenix-oss/llama-stack-mirror
191cd28831
* Simplified Telemetry API and tying it to logger * small update which adds a METRIC type * move span events one level down into structured log events --------- Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
68 lines
2.2 KiB
Python
68 lines
2.2 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 List
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from llama_toolchain.core.datatypes import * # noqa: F403
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def available_providers() -> List[ProviderSpec]:
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return [
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InlineProviderSpec(
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api=Api.inference,
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provider_type="meta-reference",
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pip_packages=[
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"accelerate",
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"blobfile",
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"codeshield",
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"fairscale",
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"fbgemm-gpu==0.8.0",
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"torch",
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"transformers",
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"zmq",
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],
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module="llama_toolchain.inference.meta_reference",
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config_class="llama_toolchain.inference.meta_reference.MetaReferenceImplConfig",
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),
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remote_provider_spec(
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api=Api.inference,
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adapter=AdapterSpec(
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adapter_id="ollama",
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pip_packages=["ollama"],
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module="llama_toolchain.inference.adapters.ollama",
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),
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),
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remote_provider_spec(
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api=Api.inference,
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adapter=AdapterSpec(
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adapter_id="tgi",
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pip_packages=["text-generation"],
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module="llama_toolchain.inference.adapters.tgi",
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),
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),
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remote_provider_spec(
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api=Api.inference,
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adapter=AdapterSpec(
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adapter_id="fireworks",
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pip_packages=[
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"fireworks-ai",
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],
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module="llama_toolchain.inference.adapters.fireworks",
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config_class="llama_toolchain.inference.adapters.fireworks.FireworksImplConfig",
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),
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),
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remote_provider_spec(
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api=Api.inference,
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adapter=AdapterSpec(
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adapter_id="together",
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pip_packages=[
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"together",
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],
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module="llama_toolchain.inference.adapters.together",
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config_class="llama_toolchain.inference.adapters.together.TogetherImplConfig",
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),
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),
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]
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