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78 lines
2.3 KiB
Python
78 lines
2.3 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import pytest
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from llama_stack_client.lib.inference.event_logger import EventLogger
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def test_text_chat_completion(llama_stack_client):
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# non-streaming
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available_models = [
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model.identifier
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for model in llama_stack_client.models.list()
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if model.identifier.startswith("meta-llama")
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]
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assert len(available_models) > 0
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model_id = available_models[0]
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response = llama_stack_client.inference.chat_completion(
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model_id=model_id,
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messages=[
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{
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"role": "user",
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"content": "Hello, world!",
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}
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],
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stream=False,
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)
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assert len(response.completion_message.content) > 0
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# streaming
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response = llama_stack_client.inference.chat_completion(
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model_id=model_id,
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messages=[{"role": "user", "content": "Hello, world!"}],
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stream=True,
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)
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logs = [str(log.content) for log in EventLogger().log(response) if log is not None]
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assert len(logs) > 0
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assert "Assistant> " in logs[0]
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def test_image_chat_completion(llama_stack_client):
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available_models = [
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model.identifier
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for model in llama_stack_client.models.list()
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if "vision" in model.identifier.lower()
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]
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if len(available_models) == 0:
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pytest.skip("No vision models available")
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model_id = available_models[0]
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# non-streaming
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message = {
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"role": "user",
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"content": [
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{
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"type": "image",
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"url": {
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"uri": "https://www.healthypawspetinsurance.com/Images/V3/DogAndPuppyInsurance/Dog_CTA_Desktop_HeroImage.jpg"
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},
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},
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{
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"type": "text",
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"text": "Describe what is in this image.",
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},
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],
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}
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response = llama_stack_client.inference.chat_completion(
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model_id=model_id,
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messages=[message],
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stream=False,
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)
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assert len(response.completion_message.content) > 0
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assert (
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"dog" in response.completion_message.content.lower()
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or "puppy" in response.completion_message.content.lower()
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)
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