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2fe976ed0a
You now run the integration tests with these options:
```bash
Custom options:
--stack-config=STACK_CONFIG
a 'pointer' to the stack. this can be either be:
(a) a template name like `fireworks`, or
(b) a path to a run.yaml file, or
(c) an adhoc config spec, e.g.
`inference=fireworks,safety=llama-guard,agents=meta-
reference`
--env=ENV Set environment variables, e.g. --env KEY=value
--text-model=TEXT_MODEL
comma-separated list of text models. Fixture name:
text_model_id
--vision-model=VISION_MODEL
comma-separated list of vision models. Fixture name:
vision_model_id
--embedding-model=EMBEDDING_MODEL
comma-separated list of embedding models. Fixture name:
embedding_model_id
--safety-shield=SAFETY_SHIELD
comma-separated list of safety shields. Fixture name:
shield_id
--judge-model=JUDGE_MODEL
comma-separated list of judge models. Fixture name:
judge_model_id
--embedding-dimension=EMBEDDING_DIMENSION
Output dimensionality of the embedding model to use for
testing. Default: 384
--record-responses Record new API responses instead of using cached ones.
--report=REPORT Path where the test report should be written, e.g.
--report=/path/to/report.md
```
Importantly, if you don't specify any of the models (text-model,
vision-model, etc.) the relevant tests will get **skipped!**
This will make running tests somewhat more annoying since all options
will need to be specified. We will make this easier by adding some easy
wrapper yaml configs.
## Test Plan
Example:
```bash
ashwin@ashwin-mbp ~/local/llama-stack/tests/integration (unify_tests) $
LLAMA_STACK_CONFIG=fireworks pytest -s -v inference/test_text_inference.py \
--text-model meta-llama/Llama-3.2-3B-Instruct
```
71 lines
2.5 KiB
Python
71 lines
2.5 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 base64
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import mimetypes
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import os
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import pytest
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from llama_stack.apis.safety import ViolationLevel
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VISION_SHIELD_ENABLED_PROVIDERS = {"together"}
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def data_url_from_image(file_path):
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mime_type, _ = mimetypes.guess_type(file_path)
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if mime_type is None:
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raise ValueError("Could not determine MIME type of the file")
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with open(file_path, "rb") as image_file:
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encoded_string = base64.b64encode(image_file.read()).decode("utf-8")
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data_url = f"data:{mime_type};base64,{encoded_string}"
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return data_url
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def test_safety_with_image(llama_stack_client, model_providers):
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vision_safety_enabled = len(VISION_SHIELD_ENABLED_PROVIDERS & model_providers) > 0
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if not vision_safety_enabled:
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pytest.skip(f"Testing vision shields is not supported for model_providers {model_providers}")
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current_dir = os.path.dirname(os.path.abspath(__file__))
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unsafe_example_img_path = f"{current_dir}/resources/example_unsafe.jpg"
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safe_example_img_path = f"{current_dir}/resources/example_safe.jpg"
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examples = {
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"safe": safe_example_img_path,
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"unsafe": unsafe_example_img_path,
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}
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for _, file_path in examples.items():
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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": "text",
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"text": "Tell me how to assemble this",
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},
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{
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"type": "image",
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"image": {"url": {"uri": data_url_from_image(file_path)}},
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},
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],
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}
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response = llama_stack_client.safety.run_shield(
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messages=[message],
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shield_id="meta-llama/Llama-Guard-3-11B-Vision",
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params={},
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)
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assert response is not None
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# FIXME: We are getting flaky results with the unsafe example:
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# 1. sometimes it is marked as safe
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# 2. sometimes it is marked as unsafe but with incorrect violation_type
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# 3. sometimes it is marked as unsafe with correct violation_type
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if response.violation is not None:
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assert response.violation.violation_level == ViolationLevel.ERROR.value
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assert response.violation.user_message == "I can't answer that. Can I help with something else?"
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