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feat: OpenAI Responses API (#1989)

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# What does this PR do?

This provides an initial [OpenAI Responses
API](https://platform.openai.com/docs/api-reference/responses)
implementation. The API is not yet complete, and this is more a
proof-of-concept to show how we can store responses in our key-value
stores and use them to support the Responses API concepts like
`previous_response_id`.

## Test Plan

I've added a new
`tests/integration/openai_responses/test_openai_responses.py` as part of
a test-driven development for this new API. I'm only testing this
locally with the remote-vllm provider for now, but it should work with
any of our inference providers since the only API it requires out of the
inference provider is the `openai_chat_completion` endpoint.

```
VLLM_URL="http://localhost:8000/v1" \
INFERENCE_MODEL="meta-llama/Llama-3.2-3B-Instruct" \
llama stack build --template remote-vllm --image-type venv --run
```

```
LLAMA_STACK_CONFIG="http://localhost:8321" \
python -m pytest -v \
  tests/integration/openai_responses/test_openai_responses.py \
  --text-model "meta-llama/Llama-3.2-3B-Instruct"
 ```

---------

Signed-off-by: Ben Browning <bbrownin@redhat.com>
Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
This commit is contained in:
Ben Browning 2025-04-28 17:06:00 -04:00 • committed by GitHub
parent 79851d93aa
commit 8dfce2f596
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21 changed files with 1766 additions and 59 deletions
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7
tests/integration/fixtures/common.py
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@ -14,6 +14,7 @@ from pathlib import Path
import pytest
import yaml
from llama_stack_client import LlamaStackClient
from openai import OpenAI
from llama_stack import LlamaStackAsLibraryClient
from llama_stack.apis.datatypes import Api
@ -207,3 +208,9 @@ def llama_stack_client(request, provider_data, text_model_id):
raise RuntimeError("Initialization failed")
return client
@pytest.fixture(scope="session")
def openai_client(client_with_models):
base_url = f"{client_with_models.base_url}/v1/openai/v1"
return OpenAI(base_url=base_url, api_key="fake")