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127 lines
4.3 KiB
Python
127 lines
4.3 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 ModelInput, Provider, ToolGroupInput
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from llama_stack.models.llama.sku_list import all_registered_models
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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.post_training.nvidia import NvidiaPostTrainingConfig
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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::nvidia"],
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"vector_io": ["inline::faiss"],
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"safety": ["inline::llama-guard"],
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"post_training": ["remote::nvidia"],
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"agents": ["inline::meta-reference"],
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"telemetry": ["inline::meta-reference"],
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"eval": ["inline::meta-reference"],
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"datasetio": ["remote::huggingface", "inline::localfs"],
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"scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
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"tool_runtime": [
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"remote::brave-search",
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"remote::tavily-search",
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"inline::code-interpreter",
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"inline::rag-runtime",
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"remote::model-context-protocol",
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],
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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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post_training_provider = Provider(
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provider_id="nvidia",
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provider_type="remote::nvidia",
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config=NvidiaPostTrainingConfig.sample_run_config(),
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)
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core_model_to_hf_repo = {m.descriptor(): m.huggingface_repo for m in all_registered_models()}
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default_models = [
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ModelInput(
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model_id=core_model_to_hf_repo[m.llama_model] if m.llama_model else m.provider_model_id,
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provider_model_id=m.provider_model_id,
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provider_id="nvidia",
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model_type=m.model_type,
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metadata=m.metadata,
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)
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for m in _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::websearch",
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provider_id="tavily-search",
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),
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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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ToolGroupInput(
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toolgroup_id="builtin::code_interpreter",
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provider_id="code-interpreter",
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),
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]
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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",
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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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default_models=default_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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},
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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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"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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},
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)
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