diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml index 138fddc..0924b27 100644 --- a/.github/workflows/main.yml +++ b/.github/workflows/main.yml @@ -26,6 +26,7 @@ jobs: env: PREDICTIONGUARD_API_KEY: ${{ secrets.PREDICTIONGUARD_API_KEY }} PREDICTIONGUARD_URL: ${{ vars.PREDICTIONGUARD_URL }} + TEST_COMPLETIONS_MODEL: ${{ vars.TEST_COMPLETIONS_MODEL }} TEST_CHAT_MODEL: ${{ vars.TEST_CHAT_MODEL }} TEST_RESPONSES_MODEL: ${{ vars.TEST_RESPONSES_MODEL }} TEST_TEXT_EMBEDDINGS_MODEL: ${{ vars.TEST_TEXT_EMBEDDINGS_MODEL }} diff --git a/.github/workflows/pr.yml b/.github/workflows/pr.yml index 64efd9f..0f54c39 100644 --- a/.github/workflows/pr.yml +++ b/.github/workflows/pr.yml @@ -30,6 +30,7 @@ jobs: env: PREDICTIONGUARD_API_KEY: ${{ secrets.PREDICTIONGUARD_API_KEY }} PREDICTIONGUARD_URL: ${{ vars.PREDICTIONGUARD_URL }} + TEST_COMPLETIONS_MODEL: ${{ vars.TEST_COMPLETIONS_MODEL }} TEST_CHAT_MODEL: ${{ vars.TEST_CHAT_MODEL }} TEST_RESPONSES_MODEL: ${{ vars.TEST_RESPONSES_MODEL }} TEST_TEXT_EMBEDDINGS_MODEL: ${{ vars.TEST_TEXT_EMBEDDINGS_MODEL }} diff --git a/pyproject.toml b/pyproject.toml index 9450540..4d5e6e5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,7 +21,7 @@ dependencies = [ ] [tool.uv] -exclude-newer = "2026-04-16T12:33:43.000+00:00" +exclude-newer = "2026-05-08T12:33:43.000+00:00" [tool.uv.pip] require-hashes = true @@ -35,11 +35,11 @@ Issues = "https://github.com/predictionguard/python-client/issues" [project.optional-dependencies] dev = [ "pytest==9.0.3", - "ruff==0.15.10", + "ruff==0.15.12", "sphinx==9.1", "sphinx-autodoc-typehints==3.10.2", - "sphinx_rtd_theme>=3.1.0", - "black>=26.3.1", + "sphinx_rtd_theme==3.1.0", + "black==26.3.1", ] [tool.hatch.version] diff --git a/tests/test_completions.py b/tests/test_completions.py index ad72b57..8a2d412 100644 --- a/tests/test_completions.py +++ b/tests/test_completions.py @@ -9,7 +9,7 @@ def test_completions_create(): test_client = PredictionGuard() response = test_client.completions.create( - model=os.environ["TEST_CHAT_MODEL"], prompt="Tell me a joke" + model=os.environ["TEST_COMPLETIONS_MODEL"], prompt="Tell me a joke" ) assert len(response["choices"][0]["text"]) > 0 @@ -19,7 +19,7 @@ def test_completions_create_batch(): test_client = PredictionGuard() response = test_client.completions.create( - model=os.environ["TEST_CHAT_MODEL"], + model=os.environ["TEST_COMPLETIONS_MODEL"], prompt=["Tell me a joke.", "Tell me a cool fact."], ) @@ -42,7 +42,7 @@ def test_completions_create_stream(): response_list = [] for res in test_client.completions.create( - model=os.environ["TEST_CHAT_MODEL"], + model=os.environ["TEST_COMPLETIONS_MODEL"], prompt="Tell me a joke.", stream=True, ): @@ -61,7 +61,7 @@ def test_completions_create_stream_output_fail(): response_list = [] with pytest.raises(ValueError, match=streaming_error): for res in test_client.completions.create( - model=os.environ["TEST_CHAT_MODEL"], + model=os.environ["TEST_COMPLETIONS_MODEL"], prompt="Tell me a joke.", stream=True, output={"toxicity": True}, diff --git a/tests/test_detokenize.py b/tests/test_detokenize.py index 657041c..8473c0f 100644 --- a/tests/test_detokenize.py +++ b/tests/test_detokenize.py @@ -7,7 +7,7 @@ def test_detokenize_create(): test_client = PredictionGuard() response = test_client.detokenize.create( - model=os.environ["TEST_CHAT_MODEL"], + model=os.environ["TEST_COMPLETIONS_MODEL"], tokens=[896, 686, 77651, 419, 914, 13] ) diff --git a/tests/test_responses.py b/tests/test_responses.py index 218ee63..9042e99 100644 --- a/tests/test_responses.py +++ b/tests/test_responses.py @@ -47,121 +47,121 @@ def test_responses_create_string(): # # assert len(response_list) > 1 - -def test_responses_create_vision_image_file(): - test_client = PredictionGuard() - - response = test_client.responses.create( - model=os.environ["TEST_VISION_MODEL"], - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": "What is in this image?"}, - { - "type": "input_image", - "image_url": "fixtures/test_image1.jpeg", - }, - ], - } - ], - ) - - assert len(response["output"][0]["content"]) > 0 - - -def test_responses_create_vision_image_url(): - test_client = PredictionGuard() - - response = test_client.responses.create( - model=os.environ["TEST_VISION_MODEL"], - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": "What is in this image?"}, - { - "type": "input_image", - "image_url": "https://farm4.staticflickr.com/3300/3497460990_11dfb95dd1_z.jpg" - }, - ], - } - ], - ) - - assert len(response["output"][0]["content"]) > 0 - - -def test_responses_create_vision_image_b64(): - test_client = PredictionGuard() - - with open("fixtures/test_image1.jpeg", "rb") as image_file: - b64_image = base64.b64encode(image_file.read()).decode("utf-8") - - response = test_client.responses.create( - model=os.environ["TEST_VISION_MODEL"], - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": "What is in this image?"}, - {"type": "input_image", "image_url": b64_image}, - ], - } - ], - ) - - assert len(response["output"][0]["content"]) > 0 - - -def test_responses_create_vision_data_uri(): - test_client = PredictionGuard() - - with open("fixtures/test_image1.jpeg", "rb") as image_file: - b64_image = base64.b64encode(image_file.read()).decode("utf-8") - - data_uri = "data:image/jpeg;base64," + b64_image - - response = test_client.responses.create( - model=os.environ["TEST_VISION_MODEL"], - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": "What is in this image?"}, - {"type": "input_image", "image_url": data_uri}, - ], - } - ], - ) - - assert len(response["output"][0]["content"]) > 0 - - -def test_responses_create_vision_stream_fail(): - test_client = PredictionGuard() - - streaming_error = "Streaming is not currently supported when using vision." - - response_list = [] - with pytest.raises(ValueError, match=streaming_error): - for res in test_client.responses.create( - model=os.environ["TEST_VISION_MODEL"], - input=[ - { - "role": "user", - "content": [ - {"type": "input_text", "text": "What is in this image?"}, - { - "type": "input_image", - "image_url": "fixtures/test_image1.jpeg", - }, - ], - } - ], - stream=True, - ): - response_list.append(res) +# Currently no responses image models supported +# def test_responses_create_vision_image_file(): +# test_client = PredictionGuard() +# +# response = test_client.responses.create( +# model=os.environ["TEST_VISION_MODEL"], +# input=[ +# { +# "role": "user", +# "content": [ +# {"type": "input_text", "text": "What is in this image?"}, +# { +# "type": "input_image", +# "image_url": "fixtures/test_image1.jpeg", +# }, +# ], +# } +# ], +# ) +# +# assert len(response["output"][0]["content"]) > 0 +# +# +# def test_responses_create_vision_image_url(): +# test_client = PredictionGuard() +# +# response = test_client.responses.create( +# model=os.environ["TEST_VISION_MODEL"], +# input=[ +# { +# "role": "user", +# "content": [ +# {"type": "input_text", "text": "What is in this image?"}, +# { +# "type": "input_image", +# "image_url": "https://farm4.staticflickr.com/3300/3497460990_11dfb95dd1_z.jpg" +# }, +# ], +# } +# ], +# ) +# +# assert len(response["output"][0]["content"]) > 0 +# +# +# def test_responses_create_vision_image_b64(): +# test_client = PredictionGuard() +# +# with open("fixtures/test_image1.jpeg", "rb") as image_file: +# b64_image = base64.b64encode(image_file.read()).decode("utf-8") +# +# response = test_client.responses.create( +# model=os.environ["TEST_VISION_MODEL"], +# input=[ +# { +# "role": "user", +# "content": [ +# {"type": "input_text", "text": "What is in this image?"}, +# {"type": "input_image", "image_url": b64_image}, +# ], +# } +# ], +# ) +# +# assert len(response["output"][0]["content"]) > 0 +# +# +# def test_responses_create_vision_data_uri(): +# test_client = PredictionGuard() +# +# with open("fixtures/test_image1.jpeg", "rb") as image_file: +# b64_image = base64.b64encode(image_file.read()).decode("utf-8") +# +# data_uri = "data:image/jpeg;base64," + b64_image +# +# response = test_client.responses.create( +# model=os.environ["TEST_VISION_MODEL"], +# input=[ +# { +# "role": "user", +# "content": [ +# {"type": "input_text", "text": "What is in this image?"}, +# {"type": "input_image", "image_url": data_uri}, +# ], +# } +# ], +# ) +# +# assert len(response["output"][0]["content"]) > 0 +# +# +# def test_responses_create_vision_stream_fail(): +# test_client = PredictionGuard() +# +# streaming_error = "Streaming is not currently supported when using vision." +# +# response_list = [] +# with pytest.raises(ValueError, match=streaming_error): +# for res in test_client.responses.create( +# model=os.environ["TEST_VISION_MODEL"], +# input=[ +# { +# "role": "user", +# "content": [ +# {"type": "input_text", "text": "What is in this image?"}, +# { +# "type": "input_image", +# "image_url": "fixtures/test_image1.jpeg", +# }, 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