feat: consolidate most distros into "starter" (#2516)

# What does this PR do?

* Removes a bunch of distros
* Removed distros were added into the "starter" distribution
* Doc for "starter" has been added
* Partially reverts https://github.com/meta-llama/llama-stack/pull/2482
  since inference providers are disabled by default and can be turned on
  manually via env variable.
* Disables safety in starter distro

Closes: https://github.com/meta-llama/llama-stack/issues/2502.

~Needs: https://github.com/meta-llama/llama-stack/pull/2482 for Ollama
to work properly in the CI.~

TODO:

- [ ] We can only update `install.sh` when we get a new release.
- [x] Update providers documentation
- [ ] Update notebooks to reference starter instead of ollama

Signed-off-by: Sébastien Han <seb@redhat.com>

llama_stack/templates/sambanova/sambanova.py

@@ -1,147 +0,0 @@
-# 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.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.providers.inline.vector_io.faiss.config import FaissVectorIOConfig
-from llama_stack.providers.remote.inference.sambanova import SambaNovaImplConfig
-from llama_stack.providers.remote.inference.sambanova.models import MODEL_ENTRIES
-from llama_stack.providers.remote.vector_io.chroma.config import ChromaVectorIOConfig
-from llama_stack.providers.remote.vector_io.pgvector.config import (
-    PGVectorVectorIOConfig,
-)
-from llama_stack.templates.template import (
-    DistributionTemplate,
-    RunConfigSettings,
-    get_model_registry,
-)
-
-
-def get_distribution_template() -> DistributionTemplate:
-    providers = {
-        "inference": ["remote::sambanova", "inline::sentence-transformers"],
-        "vector_io": ["inline::faiss", "remote::chromadb", "remote::pgvector"],
-        "safety": ["remote::sambanova"],
-        "agents": ["inline::meta-reference"],
-        "telemetry": ["inline::meta-reference"],
-        "tool_runtime": [
-            "remote::brave-search",
-            "remote::tavily-search",
-            "inline::rag-runtime",
-            "remote::model-context-protocol",
-            "remote::wolfram-alpha",
-        ],
-    }
-    name = "sambanova"
-    inference_provider = Provider(
-        provider_id=name,
-        provider_type=f"remote::{name}",
-        config=SambaNovaImplConfig.sample_run_config(),
-    )
-    embedding_provider = Provider(
-        provider_id="sentence-transformers",
-        provider_type="inline::sentence-transformers",
-        config=SentenceTransformersInferenceConfig.sample_run_config(),
-    )
-    embedding_model = ModelInput(
-        model_id="all-MiniLM-L6-v2",
-        provider_id="sentence-transformers",
-        model_type=ModelType.embedding,
-        metadata={
-            "embedding_dimension": 384,
-        },
-    )
-    vector_io_providers = [
-        Provider(
-            provider_id="faiss",
-            provider_type="inline::faiss",
-            config=FaissVectorIOConfig.sample_run_config(
-                __distro_dir__=f"~/.llama/distributions/{name}",
-            ),
-        ),
-        Provider(
-            provider_id="${env.ENABLE_CHROMADB:+chromadb}",
-            provider_type="remote::chromadb",
-            config=ChromaVectorIOConfig.sample_run_config(url="${env.CHROMADB_URL:=}"),
-        ),
-        Provider(
-            provider_id="${env.ENABLE_PGVECTOR:+pgvector}",
-            provider_type="remote::pgvector",
-            config=PGVectorVectorIOConfig.sample_run_config(
-                db="${env.PGVECTOR_DB:=}",
-                user="${env.PGVECTOR_USER:=}",
-                password="${env.PGVECTOR_PASSWORD:=}",
-            ),
-        ),
-    ]
-
-    available_models = {
-        name: MODEL_ENTRIES,
-    }
-    default_models = get_model_registry(available_models)
-    default_tool_groups = [
-        ToolGroupInput(
-            toolgroup_id="builtin::websearch",
-            provider_id="tavily-search",
-        ),
-        ToolGroupInput(
-            toolgroup_id="builtin::rag",
-            provider_id="rag-runtime",
-        ),
-        ToolGroupInput(
-            toolgroup_id="builtin::wolfram_alpha",
-            provider_id="wolfram-alpha",
-        ),
-    ]
-
-    return DistributionTemplate(
-        name=name,
-        distro_type="self_hosted",
-        description="Use SambaNova for running LLM inference and safety",
-        container_image=None,
-        template_path=Path(__file__).parent / "doc_template.md",
-        providers=providers,
-        available_models_by_provider=available_models,
-        run_configs={
-            "run.yaml": RunConfigSettings(
-                provider_overrides={
-                    "inference": [inference_provider, embedding_provider],
-                    "vector_io": vector_io_providers,
-                },
-                default_models=default_models + [embedding_model],
-                default_shields=[
-                    ShieldInput(
-                        shield_id="meta-llama/Llama-Guard-3-8B", provider_shield_id="sambanova/Meta-Llama-Guard-3-8B"
-                    ),
-                    ShieldInput(
-                        shield_id="sambanova/Meta-Llama-Guard-3-8B",
-                        provider_shield_id="sambanova/Meta-Llama-Guard-3-8B",
-                    ),
-                ],
-                default_tool_groups=default_tool_groups,
-            ),
-        },
-        run_config_env_vars={
-            "LLAMASTACK_PORT": (
-                "8321",
-                "Port for the Llama Stack distribution server",
-            ),
-            "SAMBANOVA_API_KEY": (
-                "",
-                "SambaNova API Key",
-            ),
-        },
-    )