core,groq,openai,mistralai,robocorp,fireworks,anthropic[patch]: Update BaseModel subclass and instance checks to handle both v1 and proper namespaces (#24417)

After this PR chat models will correctly handle pydantic 2 with
bind_tools and with_structured_output.


```python
import pydantic
print(pydantic.__version__)
```
2.8.2

```python
from langchain_openai import ChatOpenAI
from pydantic import BaseModel, Field

class Add(BaseModel):
    x: int
    y: int

model = ChatOpenAI().bind_tools([Add])
print(model.invoke('2 + 5').tool_calls)

model = ChatOpenAI().with_structured_output(Add)
print(type(model.invoke('2 + 5')))
```

```
[{'name': 'Add', 'args': {'x': 2, 'y': 5}, 'id': 'call_PNUFa4pdfNOYXxIMHc6ps2Do', 'type': 'tool_call'}]
<class '__main__.Add'>
```


```python
from langchain_openai import ChatOpenAI
from pydantic.v1 import BaseModel, Field

class Add(BaseModel):
    x: int
    y: int

model = ChatOpenAI().bind_tools([Add])
print(model.invoke('2 + 5').tool_calls)

model = ChatOpenAI().with_structured_output(Add)
print(type(model.invoke('2 + 5')))
```

```python
[{'name': 'Add', 'args': {'x': 2, 'y': 5}, 'id': 'call_hhiHYP441cp14TtrHKx3Upg0', 'type': 'tool_call'}]
<class '__main__.Add'>
```

Addresses issues: https://github.com/langchain-ai/langchain/issues/22782

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>

libs/core/tests/unit_tests/prompts/test_structured.py

@@ -8,12 +8,13 @@ from langchain_core.load.load import loads
 from langchain_core.prompts.structured import StructuredPrompt
 from langchain_core.pydantic_v1 import BaseModel
 from langchain_core.runnables.base import Runnable, RunnableLambda
+from langchain_core.utils.pydantic import is_basemodel_subclass
 
 
 def _fake_runnable(
     schema: Union[Dict, Type[BaseModel]], _: Any
 ) -> Union[BaseModel, Dict]:
-    if isclass(schema) and issubclass(schema, BaseModel):
+    if isclass(schema) and is_basemodel_subclass(schema):
         return schema(name="yo", value=42)
     else:
         params = cast(Dict, schema)["parameters"]