# Copyright (c) Meta Platforms, Inc. and affiliates. # All rights reserved. # # This source code is licensed under the terms described in the LICENSE file in # the root directory of this source tree. from llama_stack.apis.models import ModelType from llama_stack.distribution.datatypes import ( ModelInput, Provider, ShieldInput, ToolGroupInput, ) from llama_stack.providers.inline.inference.sentence_transformers import ( SentenceTransformersInferenceConfig, ) from llama_stack.templates.template import DistributionTemplate, RunConfigSettings def get_distribution_template() -> DistributionTemplate: providers = { "inference": ["remote::tgi", "inline::sentence-transformers"], "vector_io": ["inline::faiss", "remote::chromadb", "remote::pgvector"], "safety": ["inline::llama-guard"], "agents": ["inline::meta-reference"], "telemetry": ["inline::meta-reference"], "eval": ["inline::meta-reference"], "datasetio": ["remote::huggingface", "inline::localfs"], "scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"], "tool_runtime": [ "remote::brave-search", "remote::tavily-search", "inline::rag-runtime", ], } name = "dell" inference_provider = Provider( provider_id="tgi0", provider_type="remote::tgi", config={ "url": "${env.DEH_URL}", }, ) safety_inference_provider = Provider( provider_id="tgi1", provider_type="remote::tgi", config={ "url": "${env.DEH_SAFETY_URL}", }, ) embedding_provider = Provider( provider_id="sentence-transformers", provider_type="inline::sentence-transformers", config=SentenceTransformersInferenceConfig.sample_run_config(), ) chromadb_provider = Provider( provider_id="chromadb", provider_type="remote::chromadb", config={ "url": "${env.CHROMA_URL}", }, ) inference_model = ModelInput( model_id="${env.INFERENCE_MODEL}", provider_id="tgi0", ) safety_model = ModelInput( model_id="${env.SAFETY_MODEL}", provider_id="tgi1", ) embedding_model = ModelInput( model_id="all-MiniLM-L6-v2", provider_id="sentence-transformers", model_type=ModelType.embedding, metadata={ "embedding_dimension": 384, }, ) default_tool_groups = [ ToolGroupInput( toolgroup_id="builtin::websearch", provider_id="brave-search", ), ToolGroupInput( toolgroup_id="builtin::rag", provider_id="rag-runtime", ), ] return DistributionTemplate( name=name, distro_type="self_hosted", description="Dell's distribution of Llama Stack. TGI inference via Dell's custom container", container_image=None, providers=providers, run_configs={ "run.yaml": RunConfigSettings( provider_overrides={ "inference": [inference_provider, embedding_provider], "vector_io": [chromadb_provider], }, default_models=[inference_model, embedding_model], default_tool_groups=default_tool_groups, ), "run-with-safety.yaml": RunConfigSettings( provider_overrides={ "inference": [ inference_provider, safety_inference_provider, embedding_provider, ], "vector_io": [chromadb_provider], }, default_models=[inference_model, safety_model, embedding_model], default_shields=[ShieldInput(shield_id="${env.SAFETY_MODEL}")], default_tool_groups=default_tool_groups, ), }, run_config_env_vars={ "DEH_URL": ( "http://0.0.0.0:8181", "URL for the Dell inference server", ), "DEH_SAFETY_URL": ( "http://0.0.0.0:8282", "URL for the Dell safety inference server", ), "CHROMA_URL": ( "http://localhost:6601", "URL for the Chroma server", ), "INFERENCE_MODEL": ( "meta-llama/Llama-3.2-3B-Instruct", "Inference model loaded into the TGI server", ), "SAFETY_MODEL": ( "meta-llama/Llama-Guard-3-1B", "Name of the safety (Llama-Guard) model to use", ), }, )