github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2025-04-28 20:05:58 +00:00
Code Issues Packages Projects Releases Wiki Activity

update standard-tests (rough)

Browse Source
This commit is contained in:
Chester Curme 2025-04-08 18:03:27 -04:00
parent 99646c143d
commit cbd05c66de
1 changed files with 49 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

49
libs/standard-tests/langchain_tests/integration_tests/chat_models.py
View File

@ -1891,6 +1891,26 @@ class ChatModelIntegrationTests(ChatModelTests):
result = model_with_tools.invoke(messages)
assert isinstance(result, AIMessage)
def test_pdf_inputs(self, model: BaseChatModel) -> None:
url = "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
pdf_data = base64.b64encode(httpx.get(url).content).decode("utf-8")
message = HumanMessage(
[
{
"type": "text",
"text": "Summarize this document:",
},
{
"type": "file",
"source_type": "base64",
"mime_type": "application/pdf",
"source": pdf_data,
},
]
)
_ = model.invoke([message])
def test_image_inputs(self, model: BaseChatModel) -> None:
"""Test that the model can process image inputs.
@ -1932,6 +1952,8 @@ class ChatModelIntegrationTests(ChatModelTests):
pytest.skip("Model does not support image message.")
image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
image_data = base64.b64encode(httpx.get(image_url).content).decode("utf-8")
# OpenAI format, base64 data
message = HumanMessage(
content=[
{"type": "text", "text": "describe the weather in this image"},
@ -1943,6 +1965,33 @@ class ChatModelIntegrationTests(ChatModelTests):
)
model.invoke([message])
# Standard format, base64 data
message = HumanMessage(
content=[
{"type": "text", "text": "describe the weather in this image"},
{
"type": "image",
"source_type": "base64",
"mime_type": "image/jpeg",
"source": image_data,
},
],
)
_ = model.invoke([message])
# Standard format, URL # TODO: gate this behind a property
message = HumanMessage(
content=[
{"type": "text", "text": "describe the weather in this image"},
{
"type": "image",
"source_type": "url",
"source": image_url,
},
],
)
_ = model.invoke([message])
def test_image_tool_message(self, model: BaseChatModel) -> None:
"""Test that the model can process ToolMessages with image inputs.