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feat: Add nemo customizer (#1448)

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# What does this PR do?

This PR adds support for NVIDIA's NeMo Customizer API to the Llama Stack
post-training module. The integration enables users to fine-tune models
using NVIDIA's cloud-based customization service through a consistent
Llama Stack interface.


[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])

## Test Plan
[Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.*]
Yet to be done

Things pending under this PR:

- [x] Integration of fine-tuned model(new checkpoint) for inference with
nvidia llm distribution
- [x] distribution integration of API
- [x] Add test cases for customizer(In Progress)
- [x] Documentation

```

LLAMA_STACK_BASE_URL=http://localhost:5002 pytest -v tests/client-sdk/post_training/test_supervised_fine_tuning.py 

============================================================================================================================================================================ test session starts =============================================================================================================================================================================
platform linux -- Python 3.10.0, pytest-8.3.4, pluggy-1.5.0 -- /home/ubuntu/llama-stack/.venv/bin/python
cachedir: .pytest_cache
metadata: {'Python': '3.10.0', 'Platform': 'Linux-6.8.0-1021-gcp-x86_64-with-glibc2.35', 'Packages': {'pytest': '8.3.4', 'pluggy': '1.5.0'}, 'Plugins': {'nbval': '0.11.0', 'metadata': '3.1.1', 'anyio': '4.8.0', 'html': '4.1.1', 'asyncio': '0.25.3'}}
rootdir: /home/ubuntu/llama-stack
configfile: pyproject.toml
plugins: nbval-0.11.0, metadata-3.1.1, anyio-4.8.0, html-4.1.1, asyncio-0.25.3
asyncio: mode=strict, asyncio_default_fixture_loop_scope=None
collected 2 items                                                                                                                                                                                                                                                                                                                                                            

tests/client-sdk/post_training/test_supervised_fine_tuning.py::test_post_training_provider_registration[txt=8B] PASSED                                                                                                                                                                                                                                                 [ 50%]
tests/client-sdk/post_training/test_supervised_fine_tuning.py::test_list_training_jobs[txt=8B] PASSED                                                                                                                                                                                                                                                                  [100%]

======================================================================================================================================================================== 2 passed, 1 warning in 0.10s ========================================================================================================================================================================
```
cc: @mattf @dglogo @sumitb

---------

Co-authored-by: Ubuntu <ubuntu@llama-stack-customizer-dev-inst-2tx95fyisatvlic4we8hidx5tfj.us-central1-a.c.brevdevprod.internal>
This commit is contained in:
Rashmi Pawar 2025-03-25 23:31:10 +05:30 • committed by GitHub
parent ba14552a32
commit 1a73f8305b
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26 changed files with 1571 additions and 8 deletions
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8
llama_stack/providers/remote/inference/nvidia/nvidia.py
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@ -55,7 +55,7 @@ from .openai_utils import (
convert_openai_completion_choice,
convert_openai_completion_stream,
)
from .utils import _is_nvidia_hosted, check_health
from .utils import _is_nvidia_hosted
logger = logging.getLogger(__name__)
@ -134,7 +134,9 @@ class NVIDIAInferenceAdapter(Inference, ModelRegistryHelper):
if content_has_media(content):
raise NotImplementedError("Media is not supported")
await check_health(self._config) # this raises errors
# ToDo: check health of NeMo endpoints and enable this
# removing this health check as NeMo customizer endpoint health check is returning 404
# await check_health(self._config) # this raises errors
provider_model_id = self.get_provider_model_id(model_id)
request = convert_completion_request(
@ -236,7 +238,7 @@ class NVIDIAInferenceAdapter(Inference, ModelRegistryHelper):
if tool_prompt_format:
warnings.warn("tool_prompt_format is not supported by NVIDIA NIM, ignoring", stacklevel=2)
await check_health(self._config) # this raises errors
# await check_health(self._config) # this raises errors
provider_model_id = self.get_provider_model_id(model_id)
request = await convert_chat_completion_request(