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fix: separate build and run provider types (#2917)
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# What does this PR do? in #2637, I combined the run and build config provider types to both use `Provider` since this includes a provider_id, a user must now specify this when writing a build yaml. This is not very clear because all a user should care about upon build is the code to be installed (the module and the provider_type) introduce `BuildProvider` and fixup the parts of the code impacted by this Signed-off-by: Charlie Doern <cdoern@redhat.com>
This commit is contained in:
parent
025163d8e6
commit
3344d8a9e5
19 changed files with 401 additions and 754 deletions
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@ -9,6 +9,7 @@ from typing import Any
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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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BuildProvider,
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ModelInput,
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Provider,
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ProviderSpec,
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@ -213,131 +214,38 @@ def get_safety_models_for_providers(providers: list[Provider]) -> dict[str, list
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def get_distribution_template() -> DistributionTemplate:
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remote_inference_providers, available_models = get_remote_inference_providers()
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name = "starter"
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vector_io_providers = [
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Provider(
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provider_id="${env.ENABLE_FAISS:=faiss}",
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provider_type="inline::faiss",
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config=FaissVectorIOConfig.sample_run_config(f"~/.llama/distributions/{name}"),
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),
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Provider(
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provider_id="${env.ENABLE_SQLITE_VEC:=__disabled__}",
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provider_type="inline::sqlite-vec",
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config=SQLiteVectorIOConfig.sample_run_config(f"~/.llama/distributions/{name}"),
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),
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Provider(
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provider_id="${env.ENABLE_MILVUS:=__disabled__}",
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provider_type="inline::milvus",
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config=MilvusVectorIOConfig.sample_run_config(f"~/.llama/distributions/{name}"),
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),
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Provider(
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provider_id="${env.ENABLE_CHROMADB:=__disabled__}",
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provider_type="remote::chromadb",
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config=ChromaVectorIOConfig.sample_run_config(
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f"~/.llama/distributions/{name}/",
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url="${env.CHROMADB_URL:=}",
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),
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),
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Provider(
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provider_id="${env.ENABLE_PGVECTOR:=__disabled__}",
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provider_type="remote::pgvector",
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config=PGVectorVectorIOConfig.sample_run_config(
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f"~/.llama/distributions/{name}",
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db="${env.PGVECTOR_DB:=}",
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user="${env.PGVECTOR_USER:=}",
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password="${env.PGVECTOR_PASSWORD:=}",
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),
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),
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]
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# For build config, use BuildProvider with only provider_type and module
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providers = {
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"inference": remote_inference_providers
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+ [
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Provider(
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provider_id="sentence-transformers",
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provider_type="inline::sentence-transformers",
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)
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],
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"vector_io": vector_io_providers,
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"files": [
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Provider(
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provider_id="localfs",
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provider_type="inline::localfs",
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)
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],
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"safety": [
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Provider(
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provider_id="llama-guard",
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provider_type="inline::llama-guard",
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)
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],
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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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)
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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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)
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],
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"post_training": [
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Provider(
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provider_id="huggingface",
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provider_type="inline::huggingface",
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)
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],
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"eval": [
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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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)
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"inference": [BuildProvider(provider_type=p.provider_type, module=p.module) for p in remote_inference_providers]
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+ [BuildProvider(provider_type="inline::sentence-transformers")],
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"vector_io": [
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BuildProvider(provider_type="inline::faiss"),
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BuildProvider(provider_type="inline::sqlite-vec"),
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BuildProvider(provider_type="inline::milvus"),
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BuildProvider(provider_type="remote::chromadb"),
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BuildProvider(provider_type="remote::pgvector"),
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],
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"files": [BuildProvider(provider_type="inline::localfs")],
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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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"post_training": [BuildProvider(provider_type="inline::huggingface")],
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"eval": [BuildProvider(provider_type="inline::meta-reference")],
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"datasetio": [
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Provider(
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provider_id="huggingface",
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provider_type="remote::huggingface",
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),
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Provider(
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provider_id="localfs",
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provider_type="inline::localfs",
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),
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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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Provider(
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provider_id="basic",
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provider_type="inline::basic",
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),
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Provider(
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provider_id="llm-as-judge",
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provider_type="inline::llm-as-judge",
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),
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Provider(
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provider_id="braintrust",
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provider_type="inline::braintrust",
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),
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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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Provider(
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provider_id="brave-search",
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provider_type="remote::brave-search",
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),
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Provider(
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provider_id="tavily-search",
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provider_type="remote::tavily-search",
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),
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Provider(
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provider_id="rag-runtime",
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provider_type="inline::rag-runtime",
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),
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Provider(
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provider_id="model-context-protocol",
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provider_type="remote::model-context-protocol",
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),
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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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files_provider = Provider(
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@ -392,7 +300,41 @@ def get_distribution_template() -> DistributionTemplate:
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"run.yaml": RunConfigSettings(
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provider_overrides={
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"inference": remote_inference_providers + [embedding_provider],
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"vector_io": vector_io_providers,
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"vector_io": [
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Provider(
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provider_id="${env.ENABLE_FAISS:=faiss}",
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provider_type="inline::faiss",
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config=FaissVectorIOConfig.sample_run_config(f"~/.llama/distributions/{name}"),
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),
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Provider(
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provider_id="${env.ENABLE_SQLITE_VEC:=__disabled__}",
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provider_type="inline::sqlite-vec",
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config=SQLiteVectorIOConfig.sample_run_config(f"~/.llama/distributions/{name}"),
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),
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Provider(
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provider_id="${env.ENABLE_MILVUS:=__disabled__}",
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provider_type="inline::milvus",
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config=MilvusVectorIOConfig.sample_run_config(f"~/.llama/distributions/{name}"),
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),
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Provider(
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provider_id="${env.ENABLE_CHROMADB:=__disabled__}",
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provider_type="remote::chromadb",
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config=ChromaVectorIOConfig.sample_run_config(
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f"~/.llama/distributions/{name}/",
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url="${env.CHROMADB_URL:=}",
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),
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),
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Provider(
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provider_id="${env.ENABLE_PGVECTOR:=__disabled__}",
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provider_type="remote::pgvector",
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config=PGVectorVectorIOConfig.sample_run_config(
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f"~/.llama/distributions/{name}",
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db="${env.PGVECTOR_DB:=}",
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user="${env.PGVECTOR_USER:=}",
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password="${env.PGVECTOR_PASSWORD:=}",
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),
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),
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],
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"files": [files_provider],
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"post_training": [post_training_provider],
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},
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