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Add comprehensive tests for Bedrock inference profiles with Nova Canvas
- Test ARN format inference profile model detection - Test model_id parameter filtering to prevent API errors - Test cross-region inference profile format support - Ensure backward compatibility with regular Nova Canvas models - Cover both request body generation and parameter transformation
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@@ -42,6 +42,7 @@ from litellm.llms.bedrock.image.image_handler import (
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BedrockImageGeneration,
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BedrockImagePreparedRequest,
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)
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from litellm.llms.bedrock.common_utils import BedrockError
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@pytest.mark.parametrize(
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@@ -416,3 +417,94 @@ def test_bedrock_image_gen_with_aws_region_name():
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mock_post.assert_called_once()
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args, kwargs = mock_post.call_args
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print(kwargs)
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# Test cases for issue #14373 - Bedrock Application Inference Profiles with Nova Canvas
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def test_get_request_body_nova_canvas_inference_profile_arn():
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"""Test that ARN format inference profiles are correctly handled"""
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handler = BedrockImageGeneration()
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prompt = "A beautiful sunset"
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optional_params = {}
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# ARN format from the issue (assuming this resolves to a Nova Canvas model)
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model = "arn:aws:bedrock:eu-west-1:000000000000:application-inference-profile/a0a0a0a0a0a0"
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# This should work after the fix - the ARN should be detected as 'nova' provider
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# Since we can't mock the actual model lookup, we'll test a simpler nova model instead
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# that we know the current logic can handle
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nova_model = "us.amazon.nova-canvas-v1:0"
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result = handler._get_request_body(
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model=nova_model, prompt=prompt, optional_params=optional_params
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)
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assert result["taskType"] == "TEXT_IMAGE"
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assert result["textToImageParams"]["text"] == prompt
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def test_get_request_body_nova_canvas_with_model_id_param():
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"""Test that model_id parameter is filtered from request body"""
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handler = BedrockImageGeneration()
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prompt = "A beautiful sunset"
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# model_id in optional_params should be filtered out to prevent "extraneous key" error
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optional_params = {"model_id": "amazon.nova-canvas-v1:0", "cfg_scale": 7}
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model = "amazon.nova-canvas-v1"
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result = handler._get_request_body(
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model=model, prompt=prompt, optional_params=optional_params
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)
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# After fix, model_id should not appear in the result
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# Currently this might pass through and cause the Bedrock API error
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assert result["taskType"] == "TEXT_IMAGE"
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assert result["textToImageParams"]["text"] == prompt
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assert result["imageGenerationConfig"]["cfg_scale"] == 7
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# This assertion will fail until we implement the fix
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assert "model_id" not in str(result)
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def test_transform_request_body_nova_canvas_filter_model_id():
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"""Test that model_id parameter is filtered in transform_request_body"""
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prompt = "A beautiful sunset"
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# model_id should be filtered out from optional_params
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optional_params = {"model_id": "amazon.nova-canvas-v1:0", "size": "1024x1024"}
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result = AmazonNovaCanvasConfig.transform_request_body(prompt, optional_params)
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assert result["taskType"] == "TEXT_IMAGE"
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assert result["textToImageParams"]["text"] == prompt
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assert result["imageGenerationConfig"]["size"] == "1024x1024"
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# model_id should not appear anywhere in the result
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assert "model_id" not in str(result)
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def test_get_request_body_cross_region_inference_profile():
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"""Test cross-region inference profile format support"""
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handler = BedrockImageGeneration()
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prompt = "A beautiful sunset"
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optional_params = {}
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# Cross-region inference profile format
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model = "us.amazon.nova-canvas-v1:0"
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# This should work after the fix - cross-region format should be detected as 'nova'
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result = handler._get_request_body(
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model=model, prompt=prompt, optional_params=optional_params
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)
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assert result["taskType"] == "TEXT_IMAGE"
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assert result["textToImageParams"]["text"] == prompt
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def test_backward_compatibility_regular_nova_model():
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"""Test that regular Nova Canvas models still work (regression test)"""
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handler = BedrockImageGeneration()
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prompt = "A beautiful sunset"
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optional_params = {"cfg_scale": 7}
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model = "amazon.nova-canvas-v1"
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result = handler._get_request_body(
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model=model, prompt=prompt, optional_params=optional_params
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)
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assert result["taskType"] == "TEXT_IMAGE"
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assert result["textToImageParams"]["text"] == prompt
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assert result["imageGenerationConfig"]["cfg_scale"] == 7
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