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97 lines
3.5 KiB
Python
97 lines
3.5 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.distribution.datatypes import ModelInput, Provider, ShieldInput
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from llama_stack.providers.remote.inference.tgi import InferenceEndpointImplConfig
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from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
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def get_distribution_template() -> DistributionTemplate:
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providers = {
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"inference": ["remote::hf::endpoint"],
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"memory": ["inline::faiss", "remote::chromadb", "remote::pgvector"],
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"safety": ["inline::llama-guard"],
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"agents": ["inline::meta-reference"],
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"telemetry": ["inline::meta-reference"],
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}
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inference_provider = Provider(
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provider_id="hf-endpoint",
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provider_type="remote::hf::endpoint",
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config=InferenceEndpointImplConfig.sample_run_config(),
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)
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inference_model = ModelInput(
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model_id="${env.INFERENCE_MODEL}",
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provider_id="hf-endpoint",
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)
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safety_model = ModelInput(
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model_id="${env.SAFETY_MODEL}",
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provider_id="hf-endpoint-safety",
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)
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return DistributionTemplate(
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name="hf-endpoint",
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distro_type="self_hosted",
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description="Use (an external) Hugging Face Inference Endpoint for running LLM inference",
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docker_image=None,
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template_path=None,
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providers=providers,
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default_models=[inference_model, safety_model],
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run_configs={
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"run.yaml": RunConfigSettings(
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provider_overrides={
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"inference": [inference_provider],
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},
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default_models=[inference_model],
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),
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"run-with-safety.yaml": RunConfigSettings(
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provider_overrides={
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"inference": [
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inference_provider,
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Provider(
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provider_id="hf-endpoint-safety",
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provider_type="remote::hf::endpoint",
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config=InferenceEndpointImplConfig.sample_run_config(
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endpoint_name="${env.SAFETY_INFERENCE_ENDPOINT_NAME}",
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),
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),
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]
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},
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default_models=[
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inference_model,
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safety_model,
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],
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default_shields=[ShieldInput(shield_id="${env.SAFETY_MODEL}")],
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),
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},
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run_config_env_vars={
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"LLAMASTACK_PORT": (
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"5001",
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"Port for the Llama Stack distribution server",
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),
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"HF_API_TOKEN": (
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"hf_...",
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"Hugging Face API token",
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),
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"INFERENCE_ENDPOINT_NAME": (
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"",
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"HF Inference endpoint name for the main inference model",
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),
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"SAFETY_INFERENCE_ENDPOINT_NAME": (
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"",
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"HF Inference endpoint for the safety model",
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),
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"INFERENCE_MODEL": (
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"meta-llama/Llama-3.2-3B-Instruct",
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"Inference model served by the HF Inference Endpoint",
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),
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"SAFETY_MODEL": (
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"meta-llama/Llama-Guard-3-1B",
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"Safety model served by the HF Inference Endpoint",
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),
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},
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)
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