Nutanix AI distribution

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Jinan Zhou 2024-11-21 23:45:48 +00:00
parent f2ac4e2a94
commit cb82b1ee9e
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# Copyright (c) Nutanix, 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 .nutanix import get_distribution_template # noqa: F401

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description: Use Nutanix AI Endpoint for running LLM inference
providers:
inference: remote::nutanix
memory: inline::faiss
memory:
- inline::faiss
- remote::chromadb
- remote::pgvector
safety: inline::llama-guard
agents: inline::meta-reference
telemetry: inline::meta-reference

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# Nutanix Distribution
The `llamastack/distribution-nutanix` distribution consists of the following provider configurations.
| **API** | **Inference** | **Agents** | **Memory** | **Safety** | **Telemetry** |
|----------------- |--------------- |---------------- |-------------------------------------------------- |---------------- |---------------- |
| **Provider(s)** | remote::nutanix | meta-reference | meta-reference | meta-reference | meta-reference |
### Start the Distribution (Hosted remote)
> [!NOTE]
> This assumes you have an hosted Nutanix AI endpoint and an API Key.
1. Clone the repo
```
git clone git@github.com:meta-llama/llama-stack.git
cd llama-stack
```
2. Config the model name
Please adjust the `NUTANIX_SUPPORTED_MODELS` variable at line 29 in `llama_stack/providers/adapters/inference/nutanix/nutanix.py` according to your deployment.
3. Build the distrbution
```
pip install -e .
llama stack build --template nutanix --image-type conda
```
4. Edit the yaml file
```
vim
```
5. Serve and enjoy!
```
llama stack run ntnx --port 174
```

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# Copyright (c) Nutanix, 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.templates.template import DistributionTemplate, RunConfigSettings
from llama_stack.providers.remote.inference.nutanix import NutanixImplConfig
from llama_stack.providers.remote.inference.nutanix.nutanix import MODEL_ALIASES
def get_distribution_template() -> DistributionTemplate:
providers = {
"inference": ["remote::nutanix"],
"memory": ["inline::faiss", "remote::chromadb", "remote::pgvector"],
"safety": ["inline::llama-guard"],
"agents": ["inline::meta-reference"],
"telemetry": ["inline::meta-reference"],
}
inference_provider = Provider(
provider_id="nutanix",
provider_type="remote::nutanix",
config=NutanixImplConfig.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="nutanix",
distro_type="remote::nutanix",
description="Use Nutanix AI Endpoint 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",
),
"NUTANIX_API_KEY": (
"",
"Nutanix AI Endpoint API Key",
),
},
)

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version: '2'
image_name: nutanix
docker_image: null
conda_env: nutanix
apis:
- agents
- inference
- memory
- safety
- telemetry
providers:
inference:
- provider_id: nutanix
provider_type: remote::nutanix
config:
url: https://ai.nutanix.com/api/v1
api_key: ${env.NUTANIX_API_KEY}
memory:
- provider_id: faiss
provider_type: inline::faiss
config:
kvstore:
type: sqlite
namespace: null
db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/nutanix}/faiss_store.db
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/nutanix}/agents_store.db
telemetry:
- provider_id: meta-reference
provider_type: inline::meta-reference
config: {}
metadata_store:
namespace: null
type: sqlite
db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/nutanix}/registry.db
models:
- model_id: meta-llama/Llama-3.1-8B-Instruct
provider_id: null
provider_model_id: vllm-llama-3-1
shields: []
memory_banks: []
datasets: []
scoring_fns: []
eval_tasks: []