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update tests

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This commit is contained in:
Chester Curme 2025-04-09 10:10:17 -04:00
parent 0354dec091
commit 35fbe24532
4 changed files with 82 additions and 67 deletions
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2
libs/partners/anthropic/langchain_anthropic/chat_models.py
View File

@ -253,7 +253,7 @@ def _format_data_content_block(block: dict) -> dict:
def _format_messages(
messages: List[BaseMessage],
messages: Sequence[BaseMessage],
) -> Tuple[Union[str, List[Dict], None], List[Dict]]:
"""Format messages for anthropic."""

49
libs/partners/anthropic/tests/integration_tests/test_chat_models.py
View File

@ -663,34 +663,6 @@ def test_pdf_document_input() -> None:
assert isinstance(result.content, str)
assert len(result.content) > 0
# Test cache control with standard format
result = ChatAnthropic(model=IMAGE_MODEL_NAME).invoke(
[
HumanMessage(
[
{
"type": "text",
"text": "Summarize this document:",
},
{
"type": "file",
"source_type": "base64",
"mime_type": "application/pdf",
"source": data,
"metadata": {"cache_control": {"type": "ephemeral"}},
},
]
)
]
)
assert isinstance(result, AIMessage)
assert isinstance(result.content, str)
assert len(result.content) > 0
assert result.usage_metadata is not None
cache_creation = result.usage_metadata["input_token_details"]["cache_creation"]
cache_read = result.usage_metadata["input_token_details"]["cache_read"]
assert cache_creation > 0 or cache_read > 0
def test_citations() -> None:
llm = ChatAnthropic(model="claude-3-5-haiku-latest")
@ -727,27 +699,6 @@ def test_citations() -> None:
assert any("citations" in block for block in full.content)
assert not any("citation" in block for block in full.content)
# Test standard format
messages = [
{
"role": "user",
"content": [
{
"type": "file",
"source_type": "text",
"source": "The grass is green. The sky is blue.",
"mime_type": "text/plain",
"metadata": {"citations": {"enabled": True}},
},
{"type": "text", "text": "What color is the grass and sky?"},
],
}
]
response = llm.invoke(messages)
assert isinstance(response, AIMessage)
assert isinstance(response.content, list)
assert any("citations" in block for block in response.content)
def test_thinking() -> None:
llm = ChatAnthropic(

79
libs/partners/anthropic/tests/unit_tests/test_chat_models.py
View File

@ -690,6 +690,85 @@ def test__format_messages_with_cache_control() -> None:
assert expected_system == actual_system
assert expected_messages == actual_messages
# Test standard multi-modal format
messages = [
HumanMessage(
[
{
"type": "text",
"text": "Summarize this document:",
},
{
"type": "file",
"source_type": "base64",
"mime_type": "application/pdf",
"source": "<base64 data>",
"metadata": {"cache_control": {"type": "ephemeral"}},
},
]
)
]
actual_system, actual_messages = _format_messages(messages)
assert actual_system is None
expected_messages = [
{
"role": "user",
"content": [
{
"type": "text",
"text": "Summarize this document:",
},
{
"type": "document",
"source": {
"type": "base64",
"media_type": "application/pdf",
"data": "<base64 data>",
},
"cache_control": {"type": "ephemeral"},
},
],
}
]
assert actual_messages == expected_messages
def test__format_messages_with_citations() -> None:
input_messages = [
HumanMessage(
content=[
{
"type": "file",
"source_type": "text",
"source": "The grass is green. The sky is blue.",
"mime_type": "text/plain",
"metadata": {"citations": {"enabled": True}},
},
{"type": "text", "text": "What color is the grass and sky?"},
]
)
]
expected_messages = [
{
"role": "user",
"content": [
{
"type": "document",
"source": {
"type": "text",
"media_type": "text/plain",
"data": "The grass is green. The sky is blue.",
},
"citations": {"enabled": True},
},
{"type": "text", "text": "What color is the grass and sky?"},
],
}
]
actual_system, actual_messages = _format_messages(input_messages)
assert actual_system is None
assert actual_messages == expected_messages
def test__format_messages_with_multiple_system() -> None:
messages = [

19
libs/partners/openai/langchain_openai/chat_models/base.py
View File

@ -68,6 +68,7 @@ from langchain_core.messages import (
ToolCall,
ToolMessage,
ToolMessageChunk,
convert_image_content_block_to_image_url,
is_data_content_block,
)
from langchain_core.messages.ai import (
@ -195,23 +196,7 @@ def _convert_dict_to_message(_dict: Mapping[str, Any]) -> BaseMessage:
def _format_data_content_block(block: dict) -> dict:
"""Format standard data content block to format expected by OpenAI."""
if block["type"] == "image":
if block["source_type"] == "url":
formatted_block = {
"type": "image_url",
"image_url": {"url": block["source"]},
}
elif block["source_type"] == "base64":
formatted_block = {
"type": "image_url",
"image_url": {
"url": f"data:{block['mime_type']};base64,{block['source']}"
},
}
else:
raise ValueError(
"OpenAI only supports 'url' and 'base64' source_type for image "
"content blocks."
)
formatted_block = convert_image_content_block_to_image_url(block) # type: ignore[arg-type]
elif block["type"] == "file":
if block["source_type"] == "base64":