Python: Fix Multimodal input bug (#799)

* fix multimodal bug python

* update file names

* precommit fixes

* Update python/samples/getting_started/multimodal_input/README.md

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* udpate readme

* add copyright line, remove audio example function

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
This commit is contained in:
Victor Dibia
2025-09-17 14:44:42 -07:00
committed by GitHub
Unverified
parent 2015f0dc09
commit f3264966ff
5 changed files with 314 additions and 0 deletions
@@ -25,11 +25,13 @@ from .._types import (
ChatResponse,
ChatResponseUpdate,
Contents,
DataContent,
FinishReason,
FunctionCallContent,
FunctionResultContent,
Role,
TextContent,
UriContent,
UsageContent,
UsageDetails,
)
@@ -378,6 +380,53 @@ class OpenAIBaseChatClient(OpenAIBase, BaseChatClient):
"tool_call_id": content.call_id,
"content": content.result,
}
case DataContent() | UriContent() if content.has_top_level_media_type("image"):
return {
"type": "image_url",
"image_url": {"url": content.uri},
}
case DataContent() | UriContent() if content.has_top_level_media_type("audio"):
if content.media_type and "wav" in content.media_type:
audio_format = "wav"
elif content.media_type and "mp3" in content.media_type:
audio_format = "mp3"
else:
# Fallback to default model_dump for unsupported audio formats
return content.model_dump(exclude_none=True)
# Extract base64 data from data URI
audio_data = content.uri
if audio_data.startswith("data:"):
# Extract just the base64 part after "data:audio/format;base64,"
audio_data = audio_data.split(",", 1)[-1]
return {
"type": "input_audio",
"input_audio": {
"data": audio_data,
"format": audio_format,
},
}
case DataContent() | UriContent() if content.media_type and content.media_type.startswith("application/"):
if content.media_type == "application/pdf":
if content.uri.startswith("data:"):
filename = (
getattr(content, "filename", None)
or content.additional_properties.get("filename", "document.pdf")
if hasattr(content, "additional_properties") and content.additional_properties
else "document.pdf"
)
return {
"type": "file",
"file": {
"file_data": content.uri, # Send full data URI
"filename": filename,
},
}
return content.model_dump(exclude_none=True)
return content.model_dump(exclude_none=True)
case _:
return content.model_dump(exclude_none=True)
@@ -16,6 +16,7 @@ from agent_framework import (
ChatOptions,
ChatResponse,
ChatResponseUpdate,
DataContent,
HostedWebSearchTool,
TextContent,
ToolProtocol,
@@ -589,3 +590,83 @@ async def test_exception_message_includes_original_error_details() -> None:
exception_message = str(exc_info.value)
assert "service failed to complete the prompt:" in exception_message
assert original_error_message in exception_message
def test_openai_content_parser_data_content_image(openai_unit_test_env: dict[str, str]) -> None:
"""Test _openai_content_parser converts DataContent with image media type to OpenAI format."""
client = OpenAIChatClient()
# Test DataContent with image media type
image_data_content = DataContent(
uri="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAYAAAAfFcSJAAAADUlEQVR42mP8/5+hHgAHggJ/PchI7wAAAABJRU5ErkJggg==",
media_type="image/png",
)
result = client._openai_content_parser(image_data_content) # type: ignore
# Should convert to OpenAI image_url format
assert result["type"] == "image_url"
assert result["image_url"]["url"] == image_data_content.uri
# Test DataContent with non-image media type should use default model_dump
text_data_content = DataContent(uri="data:text/plain;base64,SGVsbG8gV29ybGQ=", media_type="text/plain")
result = client._openai_content_parser(text_data_content) # type: ignore
# Should use default model_dump format
assert result["type"] == "data"
assert result["uri"] == text_data_content.uri
assert result["media_type"] == "text/plain"
# Test DataContent with audio media type
audio_data_content = DataContent(
uri="data:audio/wav;base64,UklGRjBEAABXQVZFZm10IBAAAAABAAEAQB8AAEAfAAABAAgAZGF0YQwEAAAAAAAAAAAA",
media_type="audio/wav",
)
result = client._openai_content_parser(audio_data_content) # type: ignore
# Should convert to OpenAI input_audio format
assert result["type"] == "input_audio"
# Data should contain just the base64 part, not the full data URI
assert result["input_audio"]["data"] == "UklGRjBEAABXQVZFZm10IBAAAAABAAEAQB8AAEAfAAABAAgAZGF0YQwEAAAAAAAAAAAA"
assert result["input_audio"]["format"] == "wav"
# Test DataContent with MP3 audio
mp3_data_content = DataContent(uri="data:audio/mp3;base64,//uQAAAAWGluZwAAAA8AAAACAAACcQ==", media_type="audio/mp3")
result = client._openai_content_parser(mp3_data_content) # type: ignore
# Should convert to OpenAI input_audio format with mp3
assert result["type"] == "input_audio"
# Data should contain just the base64 part, not the full data URI
assert result["input_audio"]["data"] == "//uQAAAAWGluZwAAAA8AAAACAAACcQ=="
assert result["input_audio"]["format"] == "mp3"
# Test DataContent with PDF file
pdf_data_content = DataContent(
uri="data:application/pdf;base64,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",
media_type="application/pdf",
)
result = client._openai_content_parser(pdf_data_content) # type: ignore
# Should convert to OpenAI file format
assert result["type"] == "file"
assert result["file"]["filename"] == "document.pdf"
assert "file_data" in result["file"]
# Base64 data should be the full data URI (OpenAI requirement)
assert result["file"]["file_data"].startswith("data:application/pdf;base64,")
# Test DataContent with PDF and custom filename
pdf_with_filename = DataContent(
uri="data:application/pdf;base64,JVBERi0xLjQ=",
media_type="application/pdf",
additional_properties={"filename": "report.pdf"},
)
result = client._openai_content_parser(pdf_with_filename) # type: ignore
# Should use custom filename
assert result["type"] == "file"
assert result["file"]["filename"] == "report.pdf"