refactor: move OpenAI compat utilities from nvidia to openai_compat (#1258)

# What does this PR do?

This PR:
- refactors code which converts between Llama Stack <> OpenAI compat
servers which was used by the nvidia implementation to be used more
broadly. Next PRs in the stack will show usage.
- adds incremental tool call parsing (when tool calls are streamed
incrementally, not just whole-sale)

## Test Plan

Run 

```bash
pytest -s -v -k nvidia llama_stack/providers/tests/inference/ --env NVIDIA_API_KEY=....
```

Text model tests pass (albeit without completions tests)
```
test_text_inference.py::TestInference::test_model_list[-nvidia] PASSED
test_text_inference.py::TestInference::test_text_completion_non_streaming[-nvidia-inference:completion:non_streaming] FAILED
test_text_inference.py::TestInference::test_text_completion_streaming[-nvidia-inference:completion:streaming] FAILED
test_text_inference.py::TestInference::test_text_completion_logprobs_non_streaming[-nvidia-inference:completion:logprobs_non_streaming] FAILED
test_text_inference.py::TestInference::test_text_completion_logprobs_streaming[-nvidia-inference:completion:logprobs_streaming] FAILED
test_text_inference.py::TestInference::test_text_completion_structured_output[-nvidia-inference:completion:structured_output] FAILED
test_text_inference.py::TestInference::test_text_chat_completion_non_streaming[-nvidia-inference:chat_completion:sample_messages] PASSED
test_text_inference.py::TestInference::test_text_chat_completion_structured_output[-nvidia-inference:chat_completion:structured_output] PASSED
test_text_inference.py::TestInference::test_text_chat_completion_streaming[-nvidia-inference:chat_completion:sample_messages] PASSED
test_text_inference.py::TestInference::test_text_chat_completion_with_tool_calling[-nvidia-inference:chat_completion:sample_messages_tool_calling] PASSED
test_text_inference.py::TestInference::test_text_chat_completion_with_tool_calling_streaming[-nvidia-inference:chat_completion:sample_messages_tool_calling] PASSED
```

Vision model tests don't:
```
FAILED test_vision_inference.py::TestVisionModelInference::test_vision_chat_completion_non_streaming[-nvidia-image0-expected_strings0] - openai.BadRequestError: Error code: 400 - {'type': 'about:blank', 'status': 400, 'title': 'Bad Request', 'detail': 'Inference error'}
FAILED test_vision_inference.py::TestVisionModelInference::test_vision_chat_completion_non_streaming[-nvidia-image1-expected_strings1] - openai.BadRequestError: Error code: 400 - {'type': 'about:blank', 'status': 400, 'title': 'Bad Request', 'detail': 'Inference error'}
FAILED test_vision_inference.py::TestVisionModelInference::test_vision_chat_completion_streaming[-nvidia] - openai.BadRequestError: Error code: 400 - {'object': 'error', 'message': "[{'type': 'string_type', 'loc': ('body', 'messages', 1, 'content'), 'msg': 'Input should be a valid string', 'input': [{'image_url': {'url': 'https://raw.githubusercontent.com/meta-llama/llam...
```
This commit is contained in:
Ashwin Bharambe 2025-02-25 22:02:11 -08:00 committed by GitHub
parent 82799a55bb
commit b0310af177
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
5 changed files with 538 additions and 459 deletions

View file

@ -40,6 +40,10 @@ from llama_stack.models.llama.datatypes import (
from llama_stack.providers.utils.inference.model_registry import (
ModelRegistryHelper,
)
from llama_stack.providers.utils.inference.openai_compat import (
convert_openai_chat_completion_choice,
convert_openai_chat_completion_stream,
)
from llama_stack.providers.utils.inference.prompt_adapter import content_has_media
from . import NVIDIAConfig
@ -47,8 +51,6 @@ from .models import _MODEL_ENTRIES
from .openai_utils import (
convert_chat_completion_request,
convert_completion_request,
convert_openai_chat_completion_choice,
convert_openai_chat_completion_stream,
convert_openai_completion_choice,
convert_openai_completion_stream,
)
@ -201,7 +203,7 @@ class NVIDIAInferenceAdapter(Inference, ModelRegistryHelper):
raise ConnectionError(f"Failed to connect to NVIDIA NIM at {self._config.url}: {e}") from e
if stream:
return convert_openai_chat_completion_stream(response)
return convert_openai_chat_completion_stream(response, enable_incremental_tool_calls=False)
else:
# we pass n=1 to get only one completion
return convert_openai_chat_completion_choice(response.choices[0])