mirror of
https://github.com/meta-llama/llama-stack.git
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cc87995e2b
As the title says. Distributions is in, Templates is out. `llama stack build --template` --> `llama stack build --distro`. For backward compatibility, the previous option is kept but results in a warning. Updated `server.py` to remove the "config_or_template" backward compatibility since it has been a couple releases since that change.
114 lines
4 KiB
Python
114 lines
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.apis.models import ModelType
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from llama_stack.core.datatypes import BuildProvider, ModelInput, Provider, ToolGroupInput
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from llama_stack.distributions.template import DistributionTemplate, RunConfigSettings, get_model_registry
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from llama_stack.providers.inline.inference.sentence_transformers import (
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SentenceTransformersInferenceConfig,
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)
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from llama_stack.providers.remote.inference.watsonx import WatsonXConfig
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from llama_stack.providers.remote.inference.watsonx.models import MODEL_ENTRIES
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def get_distribution_template() -> DistributionTemplate:
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providers = {
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"inference": [
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BuildProvider(provider_type="remote::watsonx"),
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BuildProvider(provider_type="inline::sentence-transformers"),
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],
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"vector_io": [BuildProvider(provider_type="inline::faiss")],
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"safety": [BuildProvider(provider_type="inline::llama-guard")],
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"agents": [BuildProvider(provider_type="inline::meta-reference")],
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"telemetry": [BuildProvider(provider_type="inline::meta-reference")],
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"eval": [BuildProvider(provider_type="inline::meta-reference")],
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"datasetio": [
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BuildProvider(provider_type="remote::huggingface"),
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BuildProvider(provider_type="inline::localfs"),
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],
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"scoring": [
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BuildProvider(provider_type="inline::basic"),
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BuildProvider(provider_type="inline::llm-as-judge"),
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BuildProvider(provider_type="inline::braintrust"),
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],
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"tool_runtime": [
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BuildProvider(provider_type="remote::brave-search"),
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BuildProvider(provider_type="remote::tavily-search"),
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BuildProvider(provider_type="inline::rag-runtime"),
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BuildProvider(provider_type="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="watsonx",
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provider_type="remote::watsonx",
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config=WatsonXConfig.sample_run_config(),
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)
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embedding_provider = Provider(
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provider_id="sentence-transformers",
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provider_type="inline::sentence-transformers",
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config=SentenceTransformersInferenceConfig.sample_run_config(),
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)
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available_models = {
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"watsonx": 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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]
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embedding_model = ModelInput(
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model_id="all-MiniLM-L6-v2",
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provider_id="sentence-transformers",
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model_type=ModelType.embedding,
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metadata={
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"embedding_dimension": 384,
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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="watsonx",
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distro_type="remote_hosted",
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description="Use watsonx 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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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, embedding_provider],
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},
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default_models=default_models + [embedding_model],
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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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"WATSONX_API_KEY": (
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"",
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"watsonx API Key",
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),
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"WATSONX_PROJECT_ID": (
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"",
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"watsonx Project ID",
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),
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},
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)
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