init: ssambanova template

llama_stack/templates/ssambanova/__init__.py

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+# 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 .ssambanova import get_distribution_template  # noqa: F401

llama_stack/templates/ssambanova/build.yaml

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+version: "2"
+name: ssambanova
+distribution_spec:
+  description: Use Ssambanova for running LLM inference
+  docker_image: null
+  providers:
+    inference:
+      - remote::ssambanova
+    memory:
+      - inline::faiss
+    safety:
+      - inline::llama-guard
+    agents:
+      - inline::meta-reference
+    telemetry:
+      - inline::meta-reference
+image_type: conda

llama_stack/templates/ssambanova/doc_template.md

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+# Ssambanova Distribution
+
+```{toctree}
+:maxdepth: 2
+:hidden:
+
+self
+```
+
+The `llamastack/distribution-{{ name }}` distribution consists of the following provider configurations.
+
+{{ providers_table }}
+
+{% if run_config_env_vars %}
+
+### Environment Variables
+
+The following environment variables can be configured:
+
+{% for var, (default_value, description) in run_config_env_vars.items() %}
+
+- `{{ var }}`: {{ description }} (default: `{{ default_value }}`)
+  {% endfor %}
+  {% endif %}
+
+{% if default_models %}
+
+### Models
+
+The following models are available by default:
+
+{% for model in default_models %}
+
+- `{{ model.model_id }} ({{ model.provider_model_id }})`
+  {% endfor %}
+  {% endif %}
+
+### Prerequisite: API Keys
+
+Make sure you have access to a Ssambanova API Key. You can get one by visiting [Ssambanova](https://cloud.sambanova.ai/apis).
+
+## Running Llama Stack with Ssambanova
+
+You can do this via Conda (build code) or Docker which has a pre-built image.
+
+### Via Docker
+
+This method allows you to get started quickly without having to build the distribution code.
+
+```bash
+LLAMA_STACK_PORT=5001
+docker run \
+  -it \
+  -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \
+  llamastack/distribution-{{ name }} \
+  --port $LLAMA_STACK_PORT \
+  --env SSAMBANOVA_API_KEY=$SSAMBANOVA_API_KEY
+```
+
+### Via Conda
+
+```bash
+llama stack build --template ssambanova --image-type conda
+llama stack run ./run.yaml \
+  --port $LLAMA_STACK_PORT \
+  --env SSAMBANOVA_API_KEY=$SSAMBANOVA_API_KEY
+```

llama_stack/templates/ssambanova/run.yaml

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+version: "2"
+image_name: ssambanova
+docker_image: null
+conda_env: ssambanova
+apis:
+  - inference
+  - safety
+  - agents
+  - memory
+  - datasetio
+  - scoring
+  - eval
+  - telemetry
+providers:
+  inference:
+    - provider_id: ssambanova
+      provider_type: remote::ssambanova
+      config:
+        url: https://api.sambanova.ai/v1
+        api_key: ${env.SSAMBANOVA_API_KEY}
+  safety:
+    - provider_id: llama-guard
+      provider_type: inline::llama-guard
+      config: {}
+  agents:
+    - provider_id: meta-reference
+      provider_type: inline::meta-reference
+      config:
+        persistence_store:
+          type: sqlite
+          namespace: null
+          db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/ssambanova}/agents_store.db
+  memory:
+    - provider_id: faiss
+      provider_type: inline::faiss
+      config:
+        kvstore:
+          type: sqlite
+          namespace: null
+          db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/ssambanova}/faiss_store.db
+  datasetio:
+    - provider_id: localfs
+      provider_type: inline::localfs
+      config: {}
+  scoring:
+    - provider_id: basic
+      provider_type: inline::basic
+      config: {}
+  eval:
+    - provider_id: meta-reference
+      provider_type: inline::meta-reference
+      config: {}
+  telemetry:
+    - provider_id: meta-reference
+      provider_type: inline::meta-reference
+      config: {}
+metadata_store: null
+models:
+  - metadata: {}
+    model_id: meta-llama/Llama-3.1-8B-Instruct
+    provider_id: null
+    provider_model_id: Meta-Llama-3.1-8B-Instruct
+  - metadata: {}
+    model_id: meta-llama/Llama-3.1-70B-Instruct
+    provider_id: null
+    provider_model_id: Meta-Llama-3.1-70B-Instruct
+  - metadata: {}
+    model_id: meta-llama/Llama-3.1-405B-Instruct-FP8
+    provider_id: null
+    provider_model_id: Meta-Llama-3.1-405B-Instruct
+  - metadata: {}
+    model_id: meta-llama/Llama-3.2-1B-Instruct
+    provider_id: null
+    provider_model_id: Meta-Llama-3.2-1B-Instruct
+  - metadata: {}
+    model_id: meta-llama/Llama-3.2-3B-Instruct
+    provider_id: null
+    provider_model_id: Meta-Llama-3.2-3B-Instruct
+shields:
+  - params: null
+    shield_id: meta-llama/Llama-Guard-3-8B
+    provider_id: null
+    provider_shield_id: null
+memory_banks: []
+datasets: []
+scoring_fns: []
+eval_tasks: []

llama_stack/templates/ssambanova/ssambanova.py

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+# 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_models.sku_list import all_registered_models
+
+from llama_stack.distribution.datatypes import ModelInput, Provider, ShieldInput
+from llama_stack.providers.remote.inference.ssambanova import SsambanovaImplConfig
+from llama_stack.providers.remote.inference.ssambanova.ssambanova import MODEL_ALIASES
+
+from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
+
+
+def get_distribution_template() -> DistributionTemplate:
+    providers = {
+        "inference": ["remote::ssambanova"],
+        "memory": ["inline::faiss", "remote::chromadb", "remote::pgvector"],
+        "safety": ["inline::llama-guard"],
+        "agents": ["inline::meta-reference"],
+        "telemetry": ["inline::meta-reference"],
+    }
+
+    inference_provider = Provider(
+        provider_id="ssambanova",
+        provider_type="remote::ssambanova",
+        config=SsambanovaImplConfig.sample_run_config(),
+    )
+
+    core_model_to_hf_repo = {
+        m.descriptor(): m.huggingface_repo for m in all_registered_models()
+    }
+    default_models = [
+        ModelInput(
+            model_id=core_model_to_hf_repo[m.llama_model],
+            provider_model_id=m.provider_model_id,
+        )
+        for m in MODEL_ALIASES
+    ]
+
+    return DistributionTemplate(
+        name="ssambanova",
+        distro_type="self_hosted",
+        description="Use Ssambanova 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",
+            ),
+            "SSAMBANOVA_API_KEY": (
+                "",
+                "ssambanova API Key",
+            ),
+        },
+    )