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feat: added nvidia as safety provider (#1248)

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# What does this PR do?
Adds nvidia as a safety provider by interfacing with the nemo guardrails
microservice.
This enables checking user’s input or the LLM’s output against input and
output guardrails by using the `/v1/guardrails/checks` endpoint of the[
guardrails
API.](https://developer.nvidia.com/docs/nemo-microservices/guardrails/source/guides/checks-guide.html)

## Test Plan
Deploy nemo guardrails service following the documentation:
https://developer.nvidia.com/docs/nemo-microservices/guardrails/source/getting-started/deploy-docker.html

### Standalone:
```bash
(venv) local-cdgamarose@a1u1g-rome-0153:~/llama-stack$ pytest -v -s llama_stack/providers/tests/safety/test_safety.py --providers inference=nvidia,safety=nvidia --safety-shield meta/llama-3.1-8b-instruct

=================================================================================== test session starts ===================================================================================
platform linux -- Python 3.10.12, pytest-8.3.4, pluggy-1.5.0 -- /localhome/local-cdgamarose/llama-stack/venv/bin/python3
cachedir: .pytest_cache
metadata: {'Python': '3.10.12', 'Platform': 'Linux-5.15.0-122-generic-x86_64-with-glibc2.35', 'Packages': {'pytest': '8.3.4', 'pluggy': '1.5.0'}, 'Plugins': {'metadata': '3.1.1', 'asyncio': '0.25.3', 'anyio': '4.8.0', 'html': '4.1.1'}}
rootdir: /localhome/local-cdgamarose/llama-stack
configfile: pyproject.toml
plugins: metadata-3.1.1, asyncio-0.25.3, anyio-4.8.0, html-4.1.1
asyncio: mode=strict, asyncio_default_fixture_loop_scope=None
collected 2 items

llama_stack/providers/tests/safety/test_safety.py::TestSafety::test_shield_list[--inference=nvidia:safety=nvidia] Initializing NVIDIASafetyAdapter(http://0.0.0.0:7331)...
PASSED
llama_stack/providers/tests/safety/test_safety.py::TestSafety::test_run_shield[--inference=nvidia:safety=nvidia] PASSED

============================================================================== 2 passed, 2 warnings in 4.78s ==============================================================================

```
### Distribution:
```
llama stack run llama_stack/templates/nvidia/run-with-safety.yaml
curl -v -X 'POST' "http://localhost:8321/v1/safety/run-shield" -H 'accept: application/json' -H 'Content-Type: application/json' -d '{"shield_id": "meta/llama-3.1-8b-instruct", "messages":[{"role": "user", "content": "you are stupid"}]}'
{"violation":{"violation_level":"error","user_message":"Sorry I cannot do this.","metadata":{"self check input":{"status":"blocked"}}}}
```

[//]: # (## Documentation)

---------

Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
This commit is contained in:
cdgamarose-nv 2025-03-17 14:39:23 -07:00 • committed by GitHub
parent ac51564ad5
commit 252a487085
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12
docs/source/distributions/remote_hosted_distro/nvidia.md
View file

@ -6,13 +6,13 @@ The `llamastack/distribution-nvidia` distribution consists of the following prov
| API | Provider(s) |
|-----|-------------|
| agents | `inline::meta-reference` |
| datasetio | `remote::huggingface`, `inline::localfs` |
| datasetio | `inline::localfs` |
| eval | `inline::meta-reference` |
| inference | `remote::nvidia` |
| safety | `inline::llama-guard` |
| scoring | `inline::basic`, `inline::llm-as-judge`, `inline::braintrust` |
| safety | `remote::nvidia` |
| scoring | `inline::basic` |
| telemetry | `inline::meta-reference` |
| tool_runtime | `remote::brave-search`, `remote::tavily-search`, `inline::code-interpreter`, `inline::rag-runtime`, `remote::model-context-protocol` |
| tool_runtime | `inline::rag-runtime` |
| vector_io | `inline::faiss` |
@ -20,8 +20,10 @@ The `llamastack/distribution-nvidia` distribution consists of the following prov
The following environment variables can be configured:
- `LLAMASTACK_PORT`: Port for the Llama Stack distribution server (default: `5001`)
- `NVIDIA_API_KEY`: NVIDIA API Key (default: ``)
- `GUARDRAILS_SERVICE_URL`: URL for the NeMo Guardrails Service (default: `http://0.0.0.0:7331`)
- `INFERENCE_MODEL`: Inference model (default: `Llama3.1-8B-Instruct`)
- `SAFETY_MODEL`: Name of the model to use for safety (default: `meta/llama-3.1-8b-instruct`)
### Models