# 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 pathlib import Path from llama_stack.distribution.datatypes import ModelInput, Provider, ShieldInput from llama_stack.providers.remote.inference.fireworks import FireworksImplConfig from llama_stack.providers.remote.inference.fireworks.fireworks import MODEL_ALIASES from llama_stack.templates.template import DistributionTemplate, RunConfigSettings def get_distribution_template() -> DistributionTemplate: providers = { "inference": ["remote::fireworks"], "memory": ["inline::faiss", "remote::chromadb", "remote::pgvector"], "safety": ["inline::llama-guard"], "agents": ["inline::meta-reference"], "telemetry": ["inline::meta-reference"], } inference_provider = Provider( provider_id="fireworks", provider_type="remote::fireworks", config=FireworksImplConfig.sample_run_config(), ) default_models = [ModelInput(model_id=m.provider_model_id) for m in MODEL_ALIASES] return DistributionTemplate( name="fireworks", distro_type="self_hosted", description="Use Fireworks.AI for running LLM inference", docker_image=None, template_path=Path(__file__).parent / "doc_template.md", providers=providers, default_models=default_models, run_configs={ "run.yaml": RunConfigSettings( provider_overrides={ "inference": [inference_provider], }, default_models=default_models, default_shields=[ShieldInput(shield_id="meta-llama/Llama-Guard-3-8B")], ), }, run_config_env_vars={ "LLAMASTACK_PORT": ( "5001", "Port for the Llama Stack distribution server", ), "FIREWORKS_API_KEY": ( "", "Fireworks.AI API Key", ), }, )