forked from phoenix-oss/llama-stack-mirror
5736c7d682
This PR moves the client-sdk tests to the api directory to better reflect their purpose and improve code organization.
119 lines
4.2 KiB
Python
119 lines
4.2 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
|
|
# All rights reserved.
|
|
#
|
|
# This source code is licensed under the terms described in the LICENSE file in
|
|
# the root directory of this source tree.
|
|
|
|
import base64
|
|
from pathlib import Path
|
|
|
|
import pytest
|
|
|
|
from llama_stack.apis.common.content_types import URL, ImageContentItem, TextContentItem
|
|
from llama_stack.apis.inference import (
|
|
ChatCompletionResponse,
|
|
ChatCompletionResponseEventType,
|
|
ChatCompletionResponseStreamChunk,
|
|
SamplingParams,
|
|
UserMessage,
|
|
)
|
|
|
|
from .utils import group_chunks
|
|
|
|
THIS_DIR = Path(__file__).parent
|
|
|
|
with open(THIS_DIR / "pasta.jpeg", "rb") as f:
|
|
PASTA_IMAGE = base64.b64encode(f.read()).decode("utf-8")
|
|
|
|
|
|
class TestVisionModelInference:
|
|
@pytest.mark.asyncio
|
|
@pytest.mark.parametrize(
|
|
"image, expected_strings",
|
|
[
|
|
(
|
|
ImageContentItem(image=dict(data=PASTA_IMAGE)),
|
|
["spaghetti"],
|
|
),
|
|
(
|
|
ImageContentItem(
|
|
image=dict(
|
|
url=URL(
|
|
uri="https://raw.githubusercontent.com/meta-llama/llama-stack/main/tests/api/inference/dog.png"
|
|
)
|
|
)
|
|
),
|
|
["puppy"],
|
|
),
|
|
],
|
|
)
|
|
async def test_vision_chat_completion_non_streaming(
|
|
self, inference_model, inference_stack, image, expected_strings
|
|
):
|
|
inference_impl, _ = inference_stack
|
|
response = await inference_impl.chat_completion(
|
|
model_id=inference_model,
|
|
messages=[
|
|
UserMessage(content="You are a helpful assistant."),
|
|
UserMessage(
|
|
content=[
|
|
image,
|
|
TextContentItem(text="Describe this image in two sentences."),
|
|
]
|
|
),
|
|
],
|
|
stream=False,
|
|
sampling_params=SamplingParams(max_tokens=100),
|
|
)
|
|
|
|
assert isinstance(response, ChatCompletionResponse)
|
|
assert response.completion_message.role == "assistant"
|
|
assert isinstance(response.completion_message.content, str)
|
|
for expected_string in expected_strings:
|
|
assert expected_string in response.completion_message.content
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_vision_chat_completion_streaming(self, inference_model, inference_stack):
|
|
inference_impl, _ = inference_stack
|
|
|
|
images = [
|
|
ImageContentItem(
|
|
image=dict(
|
|
url=URL(
|
|
uri="https://raw.githubusercontent.com/meta-llama/llama-stack/main/tests/api/inference/dog.png"
|
|
)
|
|
)
|
|
),
|
|
]
|
|
expected_strings_to_check = [
|
|
["puppy"],
|
|
]
|
|
for image, expected_strings in zip(images, expected_strings_to_check, strict=False):
|
|
response = [
|
|
r
|
|
async for r in await inference_impl.chat_completion(
|
|
model_id=inference_model,
|
|
messages=[
|
|
UserMessage(content="You are a helpful assistant."),
|
|
UserMessage(
|
|
content=[
|
|
image,
|
|
TextContentItem(text="Describe this image in two sentences."),
|
|
]
|
|
),
|
|
],
|
|
stream=True,
|
|
sampling_params=SamplingParams(max_tokens=100),
|
|
)
|
|
]
|
|
|
|
assert len(response) > 0
|
|
assert all(isinstance(chunk, ChatCompletionResponseStreamChunk) for chunk in response)
|
|
grouped = group_chunks(response)
|
|
assert len(grouped[ChatCompletionResponseEventType.start]) == 1
|
|
assert len(grouped[ChatCompletionResponseEventType.progress]) > 0
|
|
assert len(grouped[ChatCompletionResponseEventType.complete]) == 1
|
|
|
|
content = "".join(chunk.event.delta.text for chunk in grouped[ChatCompletionResponseEventType.progress])
|
|
for expected_string in expected_strings:
|
|
assert expected_string in content
|