nvidia-ai-endpoints[patch]: model arguments (e.g. temperature) on construction bug (#17290)

- **Issue:** Issue with model argument support (been there for a while
actually):
- Non-specially-handled arguments like temperature don't work when
passed through constructor.
- Such arguments DO work quite well with `bind`, but also do not abide
by field requirements.
- Since initial push, server-side error messages have gotten better and
v0.0.2 raises better exceptions. So maybe it's better to let server-side
handle such issues?
- **Description:**
- Removed ChatNVIDIA's argument fields in favor of
`model_kwargs`/`model_kws` arguments which aggregates constructor kwargs
(from constructor pathway) and merges them with call kwargs (bind
pathway).
- Shuffled a few functions from `_NVIDIAClient` to `ChatNVIDIA` to
streamline construction for future integrations.
- Minor/Optional: Old services didn't have stop support, so client-side
stopping was implemented. Now do both.
- **Any Breaking Changes:** Minor breaking changes if you strongly rely
on chat_model.temperature, etc. This is captured by
chat_model.model_kwargs.

PR passes tests and example notebooks and example testing. Still gonna
chat with some people, so leaving as draft for now.

---------

Co-authored-by: Erick Friis <erick@langchain.dev>

docs/docs/integrations/text_embedding/nvidia_ai_endpoints.ipynb

@@ -28,9 +28,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    }
+   ],
    "source": [
     "%pip install --upgrade --quiet  langchain-nvidia-ai-endpoints"
    ]
@@ -56,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -64,7 +72,15 @@
     "id": "hoF41-tNczS3",
     "outputId": "7f2833dc-191c-4d73-b823-7b2745a93a2f"
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Valid NVIDIA_API_KEY already in environment. Delete to reset\n"
+     ]
+    }
+   ],
    "source": [
     "import getpass\n",
     "import os\n",
@@ -105,7 +121,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {
     "id": "hbXmJssPdIPX"
    },
@@ -180,7 +196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -194,15 +210,15 @@
      "output_type": "stream",
      "text": [
       "Single Query Embedding: \n",
-      "\u001b[1mExecuted in 1.39 seconds.\u001b[0m\n",
+      "\u001b[1mExecuted in 2.19 seconds.\u001b[0m\n",
       "Shape: (1024,)\n",
       "\n",
       "Sequential Embedding: \n",
-      "\u001b[1mExecuted in 3.20 seconds.\u001b[0m\n",
+      "\u001b[1mExecuted in 3.16 seconds.\u001b[0m\n",
       "Shape: (5, 1024)\n",
       "\n",
       "Batch Query Embedding: \n",
-      "\u001b[1mExecuted in 1.52 seconds.\u001b[0m\n",
+      "\u001b[1mExecuted in 1.23 seconds.\u001b[0m\n",
       "Shape: (5, 1024)\n"
      ]
     }
@@ -260,7 +276,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -274,11 +290,11 @@
      "output_type": "stream",
      "text": [
       "Single Document Embedding: \n",
-      "\u001b[1mExecuted in 0.76 seconds.\u001b[0m\n",
+      "\u001b[1mExecuted in 0.52 seconds.\u001b[0m\n",
       "Shape: (1024,)\n",
       "\n",
       "Batch Document Embedding: \n",
-      "\u001b[1mExecuted in 0.86 seconds.\u001b[0m\n",
+      "\u001b[1mExecuted in 0.89 seconds.\u001b[0m\n",
       "Shape: (5, 1024)\n"
      ]
     }
@@ -324,7 +340,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -341,7 +357,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",