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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> |
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| .. | ||
| agents | ||
| batch_inference | ||
| benchmarks | ||
| common | ||
| datasetio | ||
| datasets | ||
| eval | ||
| files | ||
| inference | ||
| inspect | ||
| models | ||
| post_training | ||
| providers | ||
| safety | ||
| scoring | ||
| scoring_functions | ||
| shields | ||
| synthetic_data_generation | ||
| telemetry | ||
| tools | ||
| vector_dbs | ||
| vector_io | ||
| __init__.py | ||
| datatypes.py | ||
| resource.py | ||
| version.py | ||