Enable URL and binary PDF for Mistral

pydantic_ai_slim/pydantic_ai/models/mistral.py

@@ -52,6 +52,7 @@
         CompletionChunk as MistralCompletionChunk,
         Content as MistralContent,
         ContentChunk as MistralContentChunk,
+        DocumentURLChunk as MistralDocumentURLChunk,
         FunctionCall as MistralFunctionCall,
         ImageURL as MistralImageURL,
         ImageURLChunk as MistralImageURLChunk,
@@ -539,10 +540,19 @@ def _map_user_prompt(self, part: UserPromptPart) -> MistralUserMessage:
                     if item.is_image:
                         image_url = MistralImageURL(url=f'data:{item.media_type};base64,{base64_encoded}')
                         content.append(MistralImageURLChunk(image_url=image_url, type='image_url'))
+                    elif item.media_type == 'application/pdf':
+                        content.append(
+                            MistralDocumentURLChunk(
+                                document_url=f'data:application/pdf;base64,{base64_encoded}', type='document_url'
+                            )
+                        )
                     else:
-                        raise RuntimeError('Only image binary content is supported for Mistral.')
+                        raise RuntimeError('BinaryContent other than image or PDF is not supported in Mistral.')
                 elif isinstance(item, DocumentUrl):
-                    raise RuntimeError('DocumentUrl is not supported in Mistral.')  # pragma: no cover
+                    if item.media_type == 'application/pdf':
+                        content.append(MistralDocumentURLChunk(document_url=item.url, type='document_url'))
+                    else:
+                        raise RuntimeError('DocumentUrl other than PDF is not supported in Mistral.')
                 elif isinstance(item, VideoUrl):
                     raise RuntimeError('VideoUrl is not supported in Mistral.')
                 else:  # pragma: no cover

pydantic_ai_slim/pyproject.toml

@@ -68,7 +68,7 @@ vertexai = ["google-auth>=2.36.0", "requests>=2.32.2"]
 google = ["google-genai>=1.24.0"]
 anthropic = ["anthropic>=0.52.0"]
 groq = ["groq>=0.19.0"]
-mistral = ["mistralai>=1.2.5"]
+mistral = ["mistralai>=1.9.2"]
 bedrock = ["boto3>=1.37.24"]
 huggingface = ["huggingface-hub[inference]>=0.33.2"]
 # Tools

tests/models/test_mistral.py

@@ -16,6 +16,7 @@
 from pydantic_ai.exceptions import ModelHTTPError, ModelRetry
 from pydantic_ai.messages import (
     BinaryContent,
+    DocumentUrl,
     ImageUrl,
     ModelRequest,
     ModelResponse,
@@ -123,7 +124,7 @@ def completion_message(
     return MistralChatCompletionResponse(
         id='123',
         choices=[MistralChatCompletionChoice(finish_reason='stop', index=0, message=message)],
-        created=1704067200 if with_created else None,  # 2024-01-01
+        created=1704067200 if with_created else 0,  # 2024-01-01
         model='mistral-large-123',
         object='chat.completion',
         usage=usage or MistralUsageInfo(prompt_tokens=1, completion_tokens=1, total_tokens=1),
@@ -142,7 +143,7 @@ def chunk(
                 MistralCompletionResponseStreamChoice(index=index, delta=delta, finish_reason=finish_reason)
                 for index, delta in enumerate(delta)
             ],
-            created=1704067200 if with_created else None,  # 2024-01-01
+            created=1704067200 if with_created else 0,  # 2024-01-01
             model='gpt-4',
             object='chat.completion.chunk',
             usage=MistralUsageInfo(prompt_tokens=1, completion_tokens=1, total_tokens=1),
@@ -188,11 +189,13 @@ def test_init():
 
 async def test_multiple_completions(allow_model_requests: None):
     completions = [
+        # First completion: created is "now" (simulate IsNow)
         completion_message(
             MistralAssistantMessage(content='world'),
             usage=MistralUsageInfo(prompt_tokens=1, completion_tokens=1, total_tokens=1),
             with_created=False,
         ),
+        # Second completion: created is fixed 2024-01-01 00:00:00 UTC
         completion_message(MistralAssistantMessage(content='hello again')),
     ]
     mock_client = MockMistralAI.create_mock(completions)
@@ -1909,6 +1912,87 @@ async def test_image_as_binary_content_input(allow_model_requests: None):
     )
 
 
+async def test_pdf_url_input(allow_model_requests: None):
+    c = completion_message(MistralAssistantMessage(content='world', role='assistant'))
+    mock_client = MockMistralAI.create_mock(c)
+    m = MistralModel('mistral-large-latest', provider=MistralProvider(mistral_client=mock_client))
+    agent = Agent(m)
+
+    result = await agent.run(
+        [
+            'hello',
+            DocumentUrl(url='https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf'),
+        ]
+    )
+    assert result.all_messages() == snapshot(
+        [
+            ModelRequest(
+                parts=[
+                    UserPromptPart(
+                        content=[
+                            'hello',
+                            DocumentUrl(url='https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf'),
+                        ],
+                        timestamp=IsDatetime(),
+                    )
+                ]
+            ),
+            ModelResponse(
+                parts=[TextPart(content='world')],
+                usage=Usage(requests=1, request_tokens=1, response_tokens=1, total_tokens=1),
+                model_name='mistral-large-123',
+                timestamp=IsDatetime(),
+                vendor_id='123',
+            ),
+        ]
+    )
+
+
+async def test_pdf_as_binary_content_input(allow_model_requests: None):
+    c = completion_message(MistralAssistantMessage(content='world', role='assistant'))
+    mock_client = MockMistralAI.create_mock(c)
+    m = MistralModel('mistral-large-latest', provider=MistralProvider(mistral_client=mock_client))
+    agent = Agent(m)
+
+    base64_content = b'%PDF-1.\rtrailer<</Root<</Pages<</Kids[<</MediaBox[0 0 3 3]>>>>>>>>>'
+
+    result = await agent.run(['hello', BinaryContent(data=base64_content, media_type='application/pdf')])
+    assert result.all_messages() == snapshot(
+        [
+            ModelRequest(
+                parts=[
+                    UserPromptPart(
+                        content=['hello', BinaryContent(data=base64_content, media_type='application/pdf')],
+                        timestamp=IsDatetime(),
+                    )
+                ]
+            ),
+            ModelResponse(
+                parts=[TextPart(content='world')],
+                usage=Usage(requests=1, request_tokens=1, response_tokens=1, total_tokens=1),
+                model_name='mistral-large-123',
+                timestamp=IsDatetime(),
+                vendor_id='123',
+            ),
+        ]
+    )
+
+
+async def test_txt_url_input(allow_model_requests: None):
+    c = completion_message(MistralAssistantMessage(content='world', role='assistant'))
+    mock_client = MockMistralAI.create_mock(c)
+    m = MistralModel('mistral-large-latest', provider=MistralProvider(mistral_client=mock_client))
+    agent = Agent(m)
+
+    with pytest.raises(RuntimeError, match='DocumentUrl other than PDF is not supported in Mistral.'):
+        await agent.run(
+            [
+                'hello',
+                DocumentUrl(url='https://examplefiles.org/files/documents/plaintext-example-file-download.txt'),
+            ]
+        )
+
+
 async def test_audio_as_binary_content_input(allow_model_requests: None):
     c = completion_message(MistralAssistantMessage(content='world', role='assistant'))
     mock_client = MockMistralAI.create_mock(c)
@@ -1917,7 +2001,7 @@ async def test_audio_as_binary_content_input(allow_model_requests: None):
 
     base64_content = b'//uQZ'
 
-    with pytest.raises(RuntimeError, match='Only image binary content is supported for Mistral.'):
+    with pytest.raises(RuntimeError, match='BinaryContent other than image or PDF is not supported in Mistral.'):
         await agent.run(['hello', BinaryContent(data=base64_content, media_type='audio/wav')])