ChatSambaNovaCloud with_structured_output json_mode is always failing since kwargs are always not None if they are not used

[orlandokaramani]

Checked other resources

• I added a very descriptive title to this issue.
• I searched the LangChain documentation with the integrated search.
• I used the GitHub search to find a similar question and didn't find it.
• I am sure that this is a bug in LangChain rather than my code.
• The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).

Example Code

The following:

from langchain_community.chat_models.sambanova import ChatSambaNovaCloud
from pydantic import BaseModel

llm = ChatSambaNovaCloud(
    sambanova_api_key="37d19d6b-2c13-4658-a157-bb9bb0362096",
    model="Qwen2.5-72B-Instruct",
    temperature=0,
)

structured_llm = llm.with_structured_output(method="json_mode")

Raises exception:
raise ValueError(f"Received unsupported arguments {kwargs}")

Error Message and Stack Trace (if applicable)

---

ValueError                               
 Traceback (most recent call last) Cell In[15], line 10
      2 from pydantic import BaseModel
      4 llm = ChatSambaNovaCloud(
      5     sambanova_api_key="37d19d6b-2c13-4658-a157-bb9bb0362096",
      6     model="Qwen2.5-72B-Instruct",
      7     temperature=0,
      8 )
---> 10 structured_llm = llm.with_structured_output(method="json_mode")
     12 structured_llm.invoke(
     13                     "Answer the following question. "
     14                     "Make sure to return a JSON blob with keys 'answer' and 'justification'.\n\n"
     15                     "What's heavier a pound of bricks or a pound of feathers?"
     16                 )

File ~/.pyenv/versions/3.10.0/lib/python3.10/site-packages/langchain_community/chat_models/sambanova.py:620, in ChatSambaNovaCloud.with_structured_output(self, schema, method, include_raw, **kwargs)
    382 """Model wrapper that returns outputs formatted to match the given schema.
    383 
    384 Args:
   (...)
    617         # }
    618 """  # noqa: E501
    619 if kwargs is not None:
--> 620     raise ValueError(f"Received unsupported arguments {kwargs}")
    621 is_pydantic_schema = _is_pydantic_class(schema)
    622 if method == "function_calling":

ValueError: Received unsupported arguments {}

Description

• I'm trying to use json_mode of ChatSambaNovaCloud using method with_structured_output
• I think the patch should be as below, since {} is interpreted as not None

 if kwargs:
    raise ValueError(f"Received unsupported arguments {kwargs}")

System Info

System Information
------------------
> OS:  Darwin
> OS Version:  Darwin Kernel Version 24.0.0: Tue Sep 24 23:37:36 PDT 2024; root:xnu-11215.1.12~1/RELEASE_ARM64_T6020
> Python Version:  3.12.6 (main, Sep  6 2024, 19:03:47) [Clang 15.0.0 (clang-1500.3.9.4)]

Package Information
-------------------
> langchain_core: 0.3.25
> langchain: 0.3.12
> langchain_community: 0.3.12
> langsmith: 0.2.3
> langchain_chroma: 0.1.2
> langchain_google_vertexai: 2.0.9
> langchain_groq: 0.2.1
> langchain_openai: 0.2.12
> langchain_text_splitters: 0.3.3

Optional packages not installed
-------------------------------
> langserve

Other Dependencies
------------------
> aiohttp: 3.11.10
> anthropic[vertexai]: Installed. No version info available.
> async-timeout: Installed. No version info available.
> chromadb: 0.5.23
> dataclasses-json: 0.6.7
> fastapi: 0.115.6
> google-cloud-aiplatform: 1.74.0
> google-cloud-storage: 2.19.0
> groq: 0.13.1
> httpx: 0.27.2
> httpx-sse: 0.4.0
> jsonpatch: 1.33
> langchain-mistralai: Installed. No version info available.
> langsmith-pyo3: Installed. No version info available.
> numpy: 2.2.0
> openai: 1.58.1
> orjson: 3.10.12
> packaging: 24.2
> pydantic: 2.9.2
> pydantic-settings: 2.7.0
> PyYAML: 6.0.2
> requests: 2.32.3
> requests-toolbelt: 1.0.0
> SQLAlchemy: 2.0.36
> tenacity: 9.0.0
> tiktoken: 0.8.0
> typing-extensions: 4.12.2

[keenborder786]

@orlandokaramani fixed