forked from phoenix-oss/llama-stack-mirror
140 lines
4.4 KiB
Python
140 lines
4.4 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 pathlib import Path
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from llama_stack.distribution.datatypes import (
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ModelInput,
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Provider,
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ShieldInput,
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ToolGroupInput,
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)
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from llama_stack.providers.remote.inference.nvidia import NVIDIAConfig
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from llama_stack.providers.remote.inference.nvidia.models import MODEL_ENTRIES
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from llama_stack.providers.remote.safety.nvidia import NVIDIASafetyConfig
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from llama_stack.templates.template import (
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DistributionTemplate,
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get_model_registry,
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RunConfigSettings,
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)
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def get_distribution_template() -> DistributionTemplate:
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providers = {
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"inference": ["remote::nvidia"],
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"vector_io": ["inline::faiss"],
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"safety": ["remote::nvidia"],
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"agents": ["inline::meta-reference"],
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"telemetry": ["inline::meta-reference"],
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"post_training": ["remote::nvidia"],
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"datasetio": ["inline::localfs"],
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"tool_runtime": ["inline::rag-runtime"],
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}
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inference_provider = Provider(
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provider_id="nvidia",
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provider_type="remote::nvidia",
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config=NVIDIAConfig.sample_run_config(),
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)
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safety_provider = Provider(
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provider_id="nvidia",
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provider_type="remote::nvidia",
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config=NVIDIASafetyConfig.sample_run_config(),
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)
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inference_model = ModelInput(
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model_id="${env.INFERENCE_MODEL}",
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provider_id="nvidia",
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)
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safety_model = ModelInput(
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model_id="${env.SAFETY_MODEL}",
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provider_id="nvidia",
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)
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available_models = {
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"nvidia": MODEL_ENTRIES,
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}
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default_tool_groups = [
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ToolGroupInput(
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toolgroup_id="builtin::rag",
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provider_id="rag-runtime",
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),
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]
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default_models = get_model_registry(available_models)
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return DistributionTemplate(
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name="nvidia",
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distro_type="remote_hosted",
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description="Use NVIDIA NIM for running LLM inference and safety",
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container_image=None,
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template_path=Path(__file__).parent / "doc_template.md",
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providers=providers,
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available_models_by_provider=available_models,
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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=default_models,
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default_tool_groups=default_tool_groups,
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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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safety_provider,
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]
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},
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default_models=[inference_model, safety_model],
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default_shields=[
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ShieldInput(shield_id="${env.SAFETY_MODEL}", provider_id="nvidia")
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],
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default_tool_groups=default_tool_groups,
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),
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},
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run_config_env_vars={
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"NVIDIA_API_KEY": (
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"",
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"NVIDIA API Key",
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),
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## Nemo Customizer related variables
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"NVIDIA_USER_ID": (
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"llama-stack-user",
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"NVIDIA User ID",
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),
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"NVIDIA_DATASET_NAMESPACE": (
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"default",
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"NVIDIA Dataset Namespace",
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),
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"NVIDIA_ACCESS_POLICIES": (
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"{}",
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"NVIDIA Access Policies",
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),
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"NVIDIA_PROJECT_ID": (
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"test-project",
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"NVIDIA Project ID",
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),
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"NVIDIA_CUSTOMIZER_URL": (
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"https://customizer.api.nvidia.com",
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"NVIDIA Customizer URL",
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),
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"NVIDIA_OUTPUT_MODEL_DIR": (
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"test-example-model@v1",
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"NVIDIA Output Model Directory",
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),
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"GUARDRAILS_SERVICE_URL": (
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"http://0.0.0.0:7331",
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"URL for the NeMo Guardrails Service",
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),
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"INFERENCE_MODEL": (
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"Llama3.1-8B-Instruct",
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"Inference model",
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),
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"SAFETY_MODEL": (
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"meta/llama-3.1-8b-instruct",
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"Name of the model to use for safety",
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),
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},
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)
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