Repository: langchain
Issue: AzureMLChatOnlineEndpoint not compatible with create_react_agent (NotImplementedError for bind_tool method)
Labels: Ɑ:  core

### Checked other resources

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

### Example Code

```python
import os
from langchain_community.chat_models.azureml_endpoint import AzureMLChatOnlineEndpoint,  AzureMLEndpointApiType, CustomOpenAIChatContentFormatter
from langchain_community.utilities import SQLDatabase
from langchain_community.agent_toolkits.sql.toolkit import SQLDatabaseToolkit
from langchain import hub
from langgraph.prebuilt import create_react_agent

if __name__ == "__main__":
    db = SQLDatabase.from_uri("sqlite:///Chinook.db")

    url = os.environ.get("AZUREML_ENDPOINT_URL")
    key = os.environ.get("AZUREML_ENDPOINT_KEY")
    timeout = 60 * 5  # default = 60 * 5 = 5 minutes

    llm = AzureMLChatOnlineEndpoint(
        endpoint_url=url,
        endpoint_api_type=AzureMLEndpointApiType.serverless,
        endpoint_api_key=key,
        content_formatter=CustomOpenAIChatContentFormatter(),
        timeout=timeout  # default = 60 * 5 = 5 minutes
    )

    toolkit = SQLDatabaseToolkit(db=db, llm=llm)

    prompt_template = hub.pull("langchain-ai/sql-agent-system-prompt")

    system_message = prompt_template.format(dialect="SQLite", top_k=5)

    agent_executor = create_react_agent(llm, toolkit.get_tools(), state_modifier=system_message)

    example_query = "Which country's customers spent the most?"

    events = agent_executor.stream(
        {"messages": [("user", example_query)]},
        stream_mode="values",
    )
    for event in events:
        event["messages"][-1].pretty_print()
```

### Error Message and Stack Trace (if applicable)

```
"C:\Users\...\git\Text2SQL\Text2SQL - ENV\Scripts\python.exe" C:\Users\...\git\Text2SQL\text2sql\main_agent_llama.py 
C:\Users\...\git\Text2SQL\Text2SQL - ENV\Lib\site-packages\langsmith\client.py:221: LangSmithMissingAPIKeyWarning: API key must be provided when using hosted LangSmith API
  warnings.warn(
Traceback (most recent call last):
  File "C:\Users\...\git\Text2SQL\text2sql\main_agent_llama.py", line 571, in <module>
    agent_executor = create_react_agent(llm, toolkit.get_tools(), state_modifier=system_message)
                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\...\git\Text2SQL\Text2SQL - ENV\Lib\site-packages\langgraph\_api\deprecation.py", line 80, in wrapper
    return func(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\...\git\Text2SQL\Text2SQL - ENV\Lib\site-packages\langgraph\prebuilt\chat_agent_executor.py", line 512, in create_react_agent
    model = cast(BaseChatModel, model).bind_tools(tool_classes)
            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\...\git\Text2SQL\Text2SQL - ENV\Lib\site-packages\langchain_core\language_models\chat_models.py", line 1115, in bind_tools
    raise NotImplementedError
NotImplementedError

```

### Description

I'm trying to implement a future-ready **SQL Agent** with an open weights model  (Meta LLama) hosted into an **Azure AI infrastructure**.
My code is pretty simple and it's just one of the various how-to guides in which I switched from the original OpenAI model to a **AzureMLChatOnlineEndpoint**.

But the execution interrupts pretty soon since the flow relies on the BaseModel bind_tool implementation that just throw a "**NotImplementedError**".

**Is there ant chance to make AzureMLChatOnlineEndpoint compatible with this method?** 
Consider that the direction in which LangChain is moving is LangGraph so makes no sense now to create an agent using create_sql_agent from from langchain_community.agent_toolkits

### System Info


System Information
------------------
> OS:  Windows
> OS Version:  10.0.22631
> Python Version:  3.11.7 | packaged by Anaconda, Inc. | (main, Dec 15 2023, 18:05:47) [MSC v.1916 64 bit (AMD64)]

Package Information
-------------------
> langchain_core: 0.3.15
> langchain: 0.3.6
> langchain_community: 0.3.4
> langsmith: 0.1.138
> langchain_groq: 0.2.1
> langchain_openai: 0.2.4
> langchain_text_splitters: 0.3.1
> langgraph: 0.2.41

Optional packages not installed
-------------------------------
> langserve

Other Dependencies
------------------
> aiohttp: 3.10.10
> async-timeout: Installed. No version info available.
> dataclasses-json: 0.6.7
> groq: 0.11.0
> httpx: 0.27.2
> httpx-sse: 0.4.0
> jsonpatch: 1.33
> langgraph-checkpoint: 2.0.2
> langgraph-sdk: 0.1.35
> numpy: 1.26.4
> openai: 1.53.0
> orjson: 3.10.10
> packaging: 24.1
> pydantic: 2.9.2
> pydantic-settings: 2.6.0
> PyYAML: 6.0.2
> requests: 2.32.3
> requests-toolbelt: 1.0.0
> SQLAlchemy: 2.0.36
> tenacity: 8.5.0
> tiktoken: 0.8.0
> typing-extensions: 4.12.2