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feat(api)!: BREAKING CHANGE: support passing extra_body through to providers (#3777)
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# What does this PR do? Allows passing through extra_body parameters to inference providers. With this, we removed the 2 vllm-specific parameters from completions API into `extra_body`. Before/After <img width="1883" height="324" alt="image" src="https://github.com/user-attachments/assets/acb27c08-c748-46c9-b1da-0de64e9908a1" /> closes #2720 ## Test Plan CI and added new test ``` ❯ uv run pytest -s -v tests/integration/ --stack-config=server:starter --inference-mode=record -k 'not( builtin_tool or safety_with_image or code_interpreter or test_rag ) and test_openai_completion_guided_choice' --setup=vllm --suite=base --color=yes Uninstalled 3 packages in 125ms Installed 3 packages in 19ms INFO 2025-10-10 14:29:54,317 tests.integration.conftest:118 tests: Applying setup 'vllm' for suite base INFO 2025-10-10 14:29:54,331 tests.integration.conftest:47 tests: Test stack config type: server (stack_config=server:starter) ============================================================================================================== test session starts ============================================================================================================== platform darwin -- Python 3.12.11, pytest-8.4.2, pluggy-1.6.0 -- /Users/erichuang/projects/llama-stack-1/.venv/bin/python cachedir: .pytest_cache metadata: {'Python': '3.12.11', 'Platform': 'macOS-15.6.1-arm64-arm-64bit', 'Packages': {'pytest': '8.4.2', 'pluggy': '1.6.0'}, 'Plugins': {'anyio': '4.9.0', 'html': '4.1.1', 'socket': '0.7.0', 'asyncio': '1.1.0', 'json-report': '1.5.0', 'timeout': '2.4.0', 'metadata': '3.1.1', 'cov': '6.2.1', 'nbval': '0.11.0'}} rootdir: /Users/erichuang/projects/llama-stack-1 configfile: pyproject.toml plugins: anyio-4.9.0, html-4.1.1, socket-0.7.0, asyncio-1.1.0, json-report-1.5.0, timeout-2.4.0, metadata-3.1.1, cov-6.2.1, nbval-0.11.0 asyncio: mode=Mode.AUTO, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function collected 285 items / 284 deselected / 1 selected tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=vllm/Qwen/Qwen3-0.6B] instantiating llama_stack_client Starting llama stack server with config 'starter' on port 8321... Waiting for server at http://localhost:8321... (0.0s elapsed) Waiting for server at http://localhost:8321... (0.5s elapsed) Waiting for server at http://localhost:8321... (5.1s elapsed) Waiting for server at http://localhost:8321... (5.6s elapsed) Waiting for server at http://localhost:8321... (10.1s elapsed) Waiting for server at http://localhost:8321... (10.6s elapsed) Server is ready at http://localhost:8321 llama_stack_client instantiated in 11.773s PASSEDTerminating llama stack server process... Terminating process 98444 and its group... Server process and children terminated gracefully ============================================================================================================= slowest 10 durations ============================================================================================================== 11.88s setup tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=vllm/Qwen/Qwen3-0.6B] 3.02s call tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=vllm/Qwen/Qwen3-0.6B] 0.01s teardown tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=vllm/Qwen/Qwen3-0.6B] ================================================================================================ 1 passed, 284 deselected, 3 warnings in 16.21s ================================================================================================= ```
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{
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"__type__": "openai.types.completion.Completion",
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{
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"text": ""
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}
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],
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"model": "llama3.2:3b-instruct-fp16",
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"object": "text_completion",
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"system_fingerprint": "fp_ollama",
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"usage": null
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}
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}
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],
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"is_streaming": true
|
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},
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"id_normalization_mapping": {}
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}
|
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|
|
@ -0,0 +1,48 @@
|
|||
{
|
||||
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=vllm/Qwen/Qwen3-0.6B]",
|
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"request": {
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"method": "POST",
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"url": "http://localhost:8000/v1/v1/completions",
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"headers": {},
|
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"body": {
|
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"model": "Qwen/Qwen3-0.6B",
|
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"prompt": "I am feeling really sad today.",
|
||||
"stream": false
|
||||
},
|
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"endpoint": "/v1/completions",
|
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"model": "Qwen/Qwen3-0.6B"
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},
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{
|
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"finish_reason": "length",
|
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"index": 0,
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"logprobs": null,
|
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"text": " I have been working on a project that I feel like I'm not doing well",
|
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"stop_reason": null,
|
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"prompt_logprobs": null
|
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}
|
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],
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"created": 0,
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"model": "Qwen/Qwen3-0.6B",
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"object": "text_completion",
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"system_fingerprint": null,
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"usage": {
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"completion_tokens": 16,
|
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"prompt_tokens": 7,
|
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"total_tokens": 23,
|
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"completion_tokens_details": null,
|
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"prompt_tokens_details": null
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},
|
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"service_tier": null,
|
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"kv_transfer_params": null
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}
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},
|
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"is_streaming": false
|
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},
|
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"id_normalization_mapping": {}
|
||||
}
|
||||
|
|
@ -0,0 +1,54 @@
|
|||
{
|
||||
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=vllm/Qwen/Qwen3-0.6B]",
|
||||
"request": {
|
||||
"method": "POST",
|
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"url": "http://localhost:8000/v1/v1/completions",
|
||||
"headers": {},
|
||||
"body": {
|
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"model": "Qwen/Qwen3-0.6B",
|
||||
"prompt": "I am feeling really sad today.",
|
||||
"stream": false,
|
||||
"extra_body": {
|
||||
"guided_choices": [
|
||||
"joy",
|
||||
"sadness"
|
||||
]
|
||||
}
|
||||
},
|
||||
"endpoint": "/v1/completions",
|
||||
"model": "Qwen/Qwen3-0.6B"
|
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},
|
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"response": {
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"body": {
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"__type__": "openai.types.completion.Completion",
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"__data__": {
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"id": "rec-e3727f6c749a",
|
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"choices": [
|
||||
{
|
||||
"finish_reason": "length",
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": " I feel that I am not good enough, and I feel like I have no",
|
||||
"stop_reason": null,
|
||||
"prompt_logprobs": null
|
||||
}
|
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],
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"created": 0,
|
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"model": "Qwen/Qwen3-0.6B",
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"object": "text_completion",
|
||||
"system_fingerprint": null,
|
||||
"usage": {
|
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"completion_tokens": 16,
|
||||
"prompt_tokens": 7,
|
||||
"total_tokens": 23,
|
||||
"completion_tokens_details": null,
|
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"prompt_tokens_details": null
|
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},
|
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"service_tier": null,
|
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"kv_transfer_params": null
|
||||
}
|
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},
|
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"is_streaming": false
|
||||
},
|
||||
"id_normalization_mapping": {}
|
||||
}
|
||||
|
|
@ -0,0 +1,54 @@
|
|||
{
|
||||
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=vllm/Qwen/Qwen3-0.6B]",
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://localhost:8000/v1/v1/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "Qwen/Qwen3-0.6B",
|
||||
"prompt": "I am feeling really sad today.",
|
||||
"stream": false,
|
||||
"extra_body": {
|
||||
"guided_choice": [
|
||||
"joy",
|
||||
"sadness"
|
||||
]
|
||||
}
|
||||
},
|
||||
"endpoint": "/v1/completions",
|
||||
"model": "Qwen/Qwen3-0.6B"
|
||||
},
|
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"response": {
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"body": {
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"__type__": "openai.types.completion.Completion",
|
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"__data__": {
|
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"id": "rec-f02f1bfd75ad",
|
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"choices": [
|
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{
|
||||
"finish_reason": "stop",
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": "sadness",
|
||||
"stop_reason": null,
|
||||
"prompt_logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 0,
|
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"model": "Qwen/Qwen3-0.6B",
|
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"object": "text_completion",
|
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"system_fingerprint": null,
|
||||
"usage": {
|
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"completion_tokens": 3,
|
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"prompt_tokens": 7,
|
||||
"total_tokens": 10,
|
||||
"completion_tokens_details": null,
|
||||
"prompt_tokens_details": null
|
||||
},
|
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"service_tier": null,
|
||||
"kv_transfer_params": null
|
||||
}
|
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},
|
||||
"is_streaming": false
|
||||
},
|
||||
"id_normalization_mapping": {}
|
||||
}
|
||||
|
|
@ -0,0 +1,44 @@
|
|||
{
|
||||
"test_id": "tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming[txt=ollama/llama3.2:3b-instruct-fp16-inference:completion:sanity]",
|
||||
"request": {
|
||||
"method": "POST",
|
||||
"url": "http://0.0.0.0:11434/v1/v1/completions",
|
||||
"headers": {},
|
||||
"body": {
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"prompt": "Respond to this question and explain your answer. Complete the sentence using one word: Roses are red, violets are ",
|
||||
"stream": false
|
||||
},
|
||||
"endpoint": "/v1/completions",
|
||||
"model": "llama3.2:3b-instruct-fp16"
|
||||
},
|
||||
"response": {
|
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"body": {
|
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"__type__": "openai.types.completion.Completion",
|
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"__data__": {
|
||||
"id": "rec-f0f863b7a352",
|
||||
"choices": [
|
||||
{
|
||||
"finish_reason": "stop",
|
||||
"index": 0,
|
||||
"logprobs": null,
|
||||
"text": "blue.\n\nThe traditional nursery rhyme goes like this:\n\n\"Roses are red,\nViolets are blue.\"\n\nThe reason for this specific color pairing is unclear, but it's often thought to represent the poetical notion of love and relationships. The rhyme has been passed down for generations, and its origins remain a topic of debate among scholars.\n\nIn essence, \"blue\" fits the rhythm and meter of the original phrase, creating a sense of continuity and completion in the rhyming couplet."
|
||||
}
|
||||
],
|
||||
"created": 0,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "text_completion",
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": {
|
||||
"completion_tokens": 100,
|
||||
"prompt_tokens": 50,
|
||||
"total_tokens": 150,
|
||||
"completion_tokens_details": null,
|
||||
"prompt_tokens_details": null
|
||||
}
|
||||
}
|
||||
},
|
||||
"is_streaming": false
|
||||
},
|
||||
"id_normalization_mapping": {}
|
||||
}
|
||||
|
|
@ -223,7 +223,7 @@ def test_openai_completion_guided_choice(llama_stack_client, client_with_models,
|
|||
model=text_model_id,
|
||||
prompt=prompt,
|
||||
stream=False,
|
||||
guided_choice=["joy", "sadness"],
|
||||
extra_body={"guided_choice": ["joy", "sadness"]},
|
||||
)
|
||||
assert len(response.choices) > 0
|
||||
choice = response.choices[0]
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue