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b69bfab019
Some templates were still using the old environment variable
substition syntax instead of the new one and were not getting
substituted properly.
Also, some places didn't handle the new None vs old empty string ("")
values that come from the conditional environment variable
substitution.
This gets the starter and remote-vllm distributions starting again,
and I tested various permutations of the starter as chroma and
pgvector needed some adjustments to their config classes to handle the
new possible `None` values. And, I had to tweak our `Provider` class
to also handle `None` values, for cases where we disable providers in
the starter config via environment variables.
This may not have caught everything that was missed, but I did grep
around quite a bit to try and find anything lingering.
Signed-off-by: Ben Browning <bbrownin@redhat.com>
137 lines
5 KiB
Python
137 lines
5 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 llama_stack.apis.models import ModelType
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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.inline.inference.sentence_transformers import SentenceTransformersInferenceConfig
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from llama_stack.providers.remote.inference.vllm import VLLMInferenceAdapterConfig
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from llama_stack.providers.remote.vector_io.chroma.config import ChromaVectorIOConfig
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from llama_stack.providers.utils.kvstore.config import PostgresKVStoreConfig
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from llama_stack.providers.utils.sqlstore.sqlstore import PostgresSqlStoreConfig
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from llama_stack.templates.template import (
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DistributionTemplate,
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RunConfigSettings,
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)
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def get_distribution_template() -> DistributionTemplate:
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inference_providers = [
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Provider(
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provider_id="vllm-inference",
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provider_type="remote::vllm",
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config=VLLMInferenceAdapterConfig.sample_run_config(
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url="${env.VLLM_URL:=http://localhost:8000/v1}",
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),
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),
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]
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providers = {
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"inference": ([p.provider_type for p in inference_providers] + ["inline::sentence-transformers"]),
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"vector_io": ["remote::chromadb"],
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"safety": ["inline::llama-guard"],
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"agents": ["inline::meta-reference"],
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"telemetry": ["inline::meta-reference"],
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"tool_runtime": [
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"remote::brave-search",
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"remote::tavily-search",
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"inline::rag-runtime",
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"remote::model-context-protocol",
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],
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}
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name = "postgres-demo"
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vector_io_providers = [
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Provider(
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provider_id="${env.ENABLE_CHROMADB:+chromadb}",
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provider_type="remote::chromadb",
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config=ChromaVectorIOConfig.sample_run_config(url="${env.CHROMADB_URL:+}"),
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),
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]
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default_tool_groups = [
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ToolGroupInput(
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toolgroup_id="builtin::websearch",
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provider_id="tavily-search",
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),
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ToolGroupInput(
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toolgroup_id="builtin::rag",
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provider_id="rag-runtime",
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),
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]
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default_models = [
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ModelInput(
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model_id="${env.INFERENCE_MODEL}",
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provider_id="vllm-inference",
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)
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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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embedding_model = ModelInput(
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model_id="all-MiniLM-L6-v2",
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provider_id=embedding_provider.provider_id,
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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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postgres_config = PostgresSqlStoreConfig.sample_run_config()
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return DistributionTemplate(
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name=name,
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distro_type="self_hosted",
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description="Quick start template for running Llama Stack with several popular providers",
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container_image=None,
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template_path=None,
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providers=providers,
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available_models_by_provider={},
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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_providers + [embedding_provider],
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"vector_io": vector_io_providers,
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"agents": [
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Provider(
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provider_id="meta-reference",
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provider_type="inline::meta-reference",
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config=dict(
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persistence_store=postgres_config,
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responses_store=postgres_config,
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),
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)
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],
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"telemetry": [
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Provider(
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provider_id="meta-reference",
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provider_type="inline::meta-reference",
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config=dict(
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service_name="${env.OTEL_SERVICE_NAME:+}",
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sinks="${env.TELEMETRY_SINKS:=console,otel_trace}",
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otel_trace_endpoint="${env.OTEL_TRACE_ENDPOINT:=http://localhost:4318/v1/traces}",
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),
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)
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],
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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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default_shields=[ShieldInput(shield_id="meta-llama/Llama-Guard-3-8B")],
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metadata_store=PostgresKVStoreConfig.sample_run_config(),
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inference_store=postgres_config,
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),
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},
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run_config_env_vars={
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"LLAMA_STACK_PORT": (
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"8321",
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"Port for the Llama Stack distribution server",
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),
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},
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)
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