Pass s3:// file URLs directly to API in BedrockConverseModel

docs/input.md

@@ -112,7 +112,7 @@ Some model APIs do not support file URLs at all or for specific file types. In t
 - [`OpenAIResponsesModel`][pydantic_ai.models.openai.OpenAIResponsesModel]: All URLs
 - [`AnthropicModel`][pydantic_ai.models.anthropic.AnthropicModel]: `DocumentUrl` with media type `text/plain`
 - [`GoogleModel`][pydantic_ai.models.google.GoogleModel] using GLA (Gemini Developer API): All URLs except YouTube video URLs and files uploaded to the [Files API](https://ai.google.dev/gemini-api/docs/files).
-- [`BedrockConverseModel`][pydantic_ai.models.bedrock.BedrockConverseModel]: All URLs
+- [`BedrockConverseModel`][pydantic_ai.models.bedrock.BedrockConverseModel]: All URLs except S3 URLs, specifically starting with `s3://`.
 
 If the model API supports file URLs but may not be able to download a file because of crawling or access restrictions, you can instruct Pydantic AI to download the file content and send that instead of the URL by enabling the `force_download` flag on the URL object. For example, [`GoogleModel`][pydantic_ai.models.google.GoogleModel] on Vertex AI limits YouTube video URLs to one URL per request.
 
@@ -138,3 +138,5 @@ result = agent.run_sync(
 )
 print(result.output)
 ```
+
+For `BedrockConverseModel`, you can upload a file to S3 and pass the URL to the API directly. Pyadantic AI will pass it to `bedrock` as is. It expects the URL with the format: `s3://<bucket-name>/<object-key>`. An optional `bucketOwner` query parameter can be added to the URL to specify the owner of the bucket. For example: `s3://my-bucket/my-file.png?bucketOwner=123456789012`.

pydantic_ai_slim/pydantic_ai/models/__init__.py

@@ -1172,6 +1172,8 @@ async def download_item(
     """
     if item.url.startswith('gs://'):
         raise UserError('Downloading from protocol "gs://" is not supported.')
+    elif item.url.startswith('s3://'):
+        raise UserError('Downloading from protocol "s3://" is not supported.')
     elif isinstance(item, VideoUrl) and item.is_youtube:
         raise UserError('Downloading YouTube videos is not supported.')
 

pydantic_ai_slim/pydantic_ai/models/bedrock.py

@@ -11,6 +11,7 @@
 
 import anyio.to_thread
 from botocore.exceptions import ClientError
+from mypy_boto3_bedrock_runtime.type_defs import DocumentSourceTypeDef
 from typing_extensions import ParamSpec, assert_never
 
 from pydantic_ai import (
@@ -733,20 +734,28 @@ async def _map_user_prompt(  # noqa: C901
                     else:
                         raise NotImplementedError('Binary content is not supported yet.')
                 elif isinstance(item, ImageUrl | DocumentUrl | VideoUrl):
-                    downloaded_item = await download_item(item, data_format='bytes', type_format='extension')
-                    format = downloaded_item['data_type']
+                    source: dict[str, Any]
+                    if item.url.startswith('s3://'):
+                        s3_location: dict[str, str] = {'uri': item.url.split('?')[0]}
+                        if '?bucketOwner=' in item.url:
+                            s3_location['bucketOwner'] = item.url.split('?bucketOwner=')[1]
+                        source = {'s3Location': s3_location}
+                    else:
+                        downloaded_item = await download_item(item, data_format='bytes', type_format='extension')
+                        source = {'bytes': downloaded_item['data']}
+
                     if item.kind == 'image-url':
                         format = item.media_type.split('/')[1]
                         assert format in ('jpeg', 'png', 'gif', 'webp'), f'Unsupported image format: {format}'
-                        image: ImageBlockTypeDef = {'format': format, 'source': {'bytes': downloaded_item['data']}}
+                        image: ImageBlockTypeDef = {'format': format, 'source': cast(DocumentSourceTypeDef, source)}
                         content.append({'image': image})
 
                     elif item.kind == 'document-url':
                         name = f'Document {next(document_count)}'
                         document: DocumentBlockTypeDef = {
                             'name': name,
                             'format': item.format,
-                            'source': {'bytes': downloaded_item['data']},
+                            'source': cast(DocumentSourceTypeDef, source),
                         }
                         content.append({'document': document})
 
@@ -763,7 +772,7 @@ async def _map_user_prompt(  # noqa: C901
                             'wmv',
                             'three_gp',
                         ), f'Unsupported video format: {format}'
-                        video: VideoBlockTypeDef = {'format': format, 'source': {'bytes': downloaded_item['data']}}
+                        video: VideoBlockTypeDef = {'format': format, 'source': cast(DocumentSourceTypeDef, source)}
                         content.append({'video': video})
                 elif isinstance(item, AudioUrl):  # pragma: no cover
                     raise NotImplementedError('Audio is not supported yet.')

tests/models/test_bedrock.py

@@ -739,6 +739,128 @@ async def test_text_document_url_input(allow_model_requests: None, bedrock_provi
     )
 
 
+async def test_s3_image_url_input(bedrock_provider: BedrockProvider):
+    """Test that s3:// image URLs are passed directly to Bedrock API without downloading."""
+    model = BedrockConverseModel('us.amazon.nova-pro-v1:0', provider=bedrock_provider)
+    image_url = ImageUrl(url='s3://my-bucket/images/test-image.jpg', media_type='image/jpeg')
+
+    req = [
+        ModelRequest(parts=[UserPromptPart(content=['What is in this image?', image_url])]),
+    ]
+
+    _, bedrock_messages = await model._map_messages(req, ModelRequestParameters(), None)  # type: ignore[reportPrivateUsage]
+
+    assert bedrock_messages == snapshot(
+        [
+            {
+                'role': 'user',
+                'content': [
+                    {'text': 'What is in this image?'},
+                    {
+                        'image': {
+                            'format': 'jpeg',
+                            'source': {'s3Location': {'uri': 's3://my-bucket/images/test-image.jpg'}},
+                        }
+                    },
+                ],
+            }
+        ]
+    )
+
+
+async def test_s3_video_url_input(bedrock_provider: BedrockProvider):
+    """Test that s3:// video URLs are passed directly to Bedrock API."""
+    model = BedrockConverseModel('us.amazon.nova-pro-v1:0', provider=bedrock_provider)
+    video_url = VideoUrl(url='s3://my-bucket/videos/test-video.mp4', media_type='video/mp4')
+
+    req = [
+        ModelRequest(parts=[UserPromptPart(content=['Describe this video', video_url])]),
+    ]
+
+    _, bedrock_messages = await model._map_messages(req, ModelRequestParameters(), None)  # type: ignore[reportPrivateUsage]
+
+    assert bedrock_messages == snapshot(
+        [
+            {
+                'role': 'user',
+                'content': [
+                    {'text': 'Describe this video'},
+                    {
+                        'video': {
+                            'format': 'mp4',
+                            'source': {'s3Location': {'uri': 's3://my-bucket/videos/test-video.mp4'}},
+                        }
+                    },
+                ],
+            }
+        ]
+    )
+
+
+async def test_s3_document_url_input(bedrock_provider: BedrockProvider):
+    """Test that s3:// document URLs are passed directly to Bedrock API."""
+    model = BedrockConverseModel('anthropic.claude-v2', provider=bedrock_provider)
+    document_url = DocumentUrl(url='s3://my-bucket/documents/test-doc.pdf', media_type='application/pdf')
+
+    req = [
+        ModelRequest(parts=[UserPromptPart(content=['What is the main content on this document?', document_url])]),
+    ]
+
+    _, bedrock_messages = await model._map_messages(req, ModelRequestParameters(), None)  # type: ignore[reportPrivateUsage]
+
+    assert bedrock_messages == snapshot(
+        [
+            {
+                'role': 'user',
+                'content': [
+                    {'text': 'What is the main content on this document?'},
+                    {
+                        'document': {
+                            'format': 'pdf',
+                            'name': 'Document 1',
+                            'source': {'s3Location': {'uri': 's3://my-bucket/documents/test-doc.pdf'}},
+                        }
+                    },
+                ],
+            }
+        ]
+    )
+
+
+async def test_s3_url_with_bucket_owner(bedrock_provider: BedrockProvider):
+    """Test that s3:// URLs with bucketOwner parameter are parsed correctly."""
+    model = BedrockConverseModel('us.amazon.nova-pro-v1:0', provider=bedrock_provider)
+    image_url = ImageUrl(url='s3://my-bucket/images/test-image.jpg?bucketOwner=123456789012', media_type='image/jpeg')
+
+    req = [
+        ModelRequest(parts=[UserPromptPart(content=['What is in this image?', image_url])]),
+    ]
+
+    _, bedrock_messages = await model._map_messages(req, ModelRequestParameters(), None)  # type: ignore[reportPrivateUsage]
+
+    assert bedrock_messages == snapshot(
+        [
+            {
+                'role': 'user',
+                'content': [
+                    {'text': 'What is in this image?'},
+                    {
+                        'image': {
+                            'format': 'jpeg',
+                            'source': {
+                                's3Location': {
+                                    'uri': 's3://my-bucket/images/test-image.jpg',
+                                    'bucketOwner': '123456789012',
+                                }
+                            },
+                        }
+                    },
+                ],
+            }
+        ]
+    )
+
+
 @pytest.mark.vcr()
 async def test_text_as_binary_content_input(allow_model_requests: None, bedrock_provider: BedrockProvider):
     m = BedrockConverseModel('us.amazon.nova-pro-v1:0', provider=bedrock_provider)

tests/models/test_download_item.py

@@ -24,6 +24,22 @@ async def test_download_item_raises_user_error_with_gs_uri(
         _ = await download_item(url, data_format='bytes')
 
 
+@pytest.mark.parametrize(
+    'url',
+    (
+        pytest.param(AudioUrl(url='s3://my-bucket/audio.wav')),
+        pytest.param(DocumentUrl(url='s3://my-bucket/document.pdf')),
+        pytest.param(ImageUrl(url='s3://my-bucket/image.png')),
+        pytest.param(VideoUrl(url='s3://my-bucket/video.mp4')),
+    ),
+)
+async def test_download_item_raises_user_error_with_s3_uri(
+    url: AudioUrl | DocumentUrl | ImageUrl | VideoUrl,
+) -> None:
+    with pytest.raises(UserError, match='Downloading from protocol "s3://" is not supported.'):
+        _ = await download_item(url, data_format='bytes')
+
+
 async def test_download_item_raises_user_error_with_youtube_url() -> None:
     with pytest.raises(UserError, match='Downloading YouTube videos is not supported.'):
         _ = await download_item(VideoUrl(url='https://youtu.be/lCdaVNyHtjU'), data_format='bytes')