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# What does this PR do? This adds the missing `text` parameter to the Responses API that is how users control structured outputs. All we do with that parameter is map it to the corresponding chat completion response_format. ## Test Plan The new unit tests exercise the various permutations allowed for this property, while a couple of new verification tests actually use it for real to verify the model outputs are following the format as expected. Unit tests: `python -m pytest -s -v tests/unit/providers/agents/meta_reference/test_openai_responses.py` Verification tests: ``` llama stack run llama_stack/templates/together/run.yaml pytest -s -vv 'tests/verifications/openai_api/test_responses.py' \ --base-url=http://localhost:8321/v1/openai/v1 \ --model meta-llama/Llama-4-Scout-17B-16E-Instruct ``` Note that the verification tests can only be run with a real Llama Stack server (as opposed to using the library client via `--provider=stack:together`) because the Llama Stack python client is not yet updated to accept this text field. Signed-off-by: Ben Browning <bbrownin@redhat.com> |
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| .. | ||
| client-sdk/post_training | ||
| common | ||
| external-provider/llama-stack-provider-ollama | ||
| integration | ||
| unit | ||
| verifications | ||
| __init__.py | ||
| README.md | ||
Llama Stack Tests
Llama Stack has multiple layers of testing done to ensure continuous functionality and prevent regressions to the codebase.
| Testing Type | Details |
|---|---|
| Unit | unit/README.md |
| Integration | integration/README.md |
| Verification | verifications/README.md |