docs[patch]: Update code that checks API keys (#25444)

Check whether the API key is already in the environment

Update:

```python
import getpass
import os

os.environ["DATABRICKS_HOST"] = "https://your-workspace.cloud.databricks.com"
os.environ["DATABRICKS_TOKEN"] = getpass.getpass("Enter your Databricks access token: ")
```

To:

```python
import getpass
import os

os.environ["DATABRICKS_HOST"] = "https://your-workspace.cloud.databricks.com"
if "DATABRICKS_TOKEN" not in os.environ:
    os.environ["DATABRICKS_TOKEN"] = getpass.getpass(
        "Enter your Databricks access token: "
    )
```

grit migration:

```
engine marzano(0.1)
language python

`os.environ[$Q] = getpass.getpass("$X")` as $CHECK where {
    $CHECK <: ! within if_statement(),
    $CHECK => `if $Q not in os.environ:\n    $CHECK`
}
```

docs/docs/integrations/llms/databricks.ipynb

@@ -61,7 +61,10 @@
     "import os\n",
     "\n",
     "os.environ[\"DATABRICKS_HOST\"] = \"https://your-workspace.cloud.databricks.com\"\n",
-    "os.environ[\"DATABRICKS_TOKEN\"] = getpass.getpass(\"Enter your Databricks access token: \")"
+    "if \"DATABRICKS_TOKEN\" not in os.environ:\n",
+    "    os.environ[\"DATABRICKS_TOKEN\"] = getpass.getpass(\n",
+    "        \"Enter your Databricks access token: \"\n",
+    "    )"
    ]
   },
   {

docs/docs/integrations/llms/friendli.ipynb

@@ -40,12 +40,7 @@
    "execution_count": 1,
    "metadata": {},
    "outputs": [],
-   "source": [
+   "source": ["import getpass\nimport os\n\nif \"FRIENDLI_TOKEN\" not in os.environ:\n    os.environ[\"FRIENDLI_TOKEN\"] = getpass.getpass(\"Friendi Personal Access Token: \")"]
-    "import getpass\n",
-    "import os\n",
-    "\n",
-    "os.environ[\"FRIENDLI_TOKEN\"] = getpass.getpass(\"Friendi Personal Access Token: \")"
-   ]
   },
   {
    "cell_type": "markdown",
@@ -59,11 +54,7 @@
    "execution_count": 2,
    "metadata": {},
    "outputs": [],
-   "source": [
+   "source": ["from langchain_community.llms.friendli import Friendli\n\nllm = Friendli(model=\"mixtral-8x7b-instruct-v0-1\", max_tokens=100, temperature=0)"]
-    "from langchain_community.llms.friendli import Friendli\n",
-    "\n",
-    "llm = Friendli(model=\"mixtral-8x7b-instruct-v0-1\", max_tokens=100, temperature=0)"
-   ]
   },
   {
    "cell_type": "markdown",
@@ -97,9 +88,7 @@
      "output_type": "execute_result"
     }
    ],
-   "source": [
+   "source": ["llm.invoke(\"Tell me a joke.\")"]
-    "llm.invoke(\"Tell me a joke.\")"
-   ]
   },
   {
    "cell_type": "code",
@@ -118,9 +107,7 @@
      "output_type": "execute_result"
     }
    ],
-   "source": [
+   "source": ["llm.batch([\"Tell me a joke.\", \"Tell me a joke.\"])"]
-    "llm.batch([\"Tell me a joke.\", \"Tell me a joke.\"])"
-   ]
   },
   {
    "cell_type": "code",
@@ -138,9 +125,7 @@
      "output_type": "execute_result"
     }
    ],
-   "source": [
+   "source": ["llm.generate([\"Tell me a joke.\", \"Tell me a joke.\"])"]
-    "llm.generate([\"Tell me a joke.\", \"Tell me a joke.\"])"
-   ]
   },
   {
    "cell_type": "code",
@@ -158,10 +143,7 @@
      ]
     }
    ],
-   "source": [
+   "source": ["for chunk in llm.stream(\"Tell me a joke.\"):\n    print(chunk, end=\"\", flush=True)"]
-    "for chunk in llm.stream(\"Tell me a joke.\"):\n",
-    "    print(chunk, end=\"\", flush=True)"
-   ]
   },
   {
    "cell_type": "markdown",
@@ -186,9 +168,7 @@
      "output_type": "execute_result"
     }
    ],
-   "source": [
+   "source": ["await llm.ainvoke(\"Tell me a joke.\")"]
-    "await llm.ainvoke(\"Tell me a joke.\")"
-   ]
   },
   {
    "cell_type": "code",
@@ -207,9 +187,7 @@
      "output_type": "execute_result"
     }
    ],
-   "source": [
+   "source": ["await llm.abatch([\"Tell me a joke.\", \"Tell me a joke.\"])"]
-    "await llm.abatch([\"Tell me a joke.\", \"Tell me a joke.\"])"
-   ]
   },
   {
    "cell_type": "code",
@@ -227,9 +205,7 @@
      "output_type": "execute_result"
     }
    ],
-   "source": [
+   "source": ["await llm.agenerate([\"Tell me a joke.\", \"Tell me a joke.\"])"]
-    "await llm.agenerate([\"Tell me a joke.\", \"Tell me a joke.\"])"
-   ]
   },
   {
    "cell_type": "code",
@@ -247,10 +223,7 @@
      ]
     }
    ],
-   "source": [
+   "source": ["async for chunk in llm.astream(\"Tell me a joke.\"):\n    print(chunk, end=\"\", flush=True)"]
-    "async for chunk in llm.astream(\"Tell me a joke.\"):\n",
-    "    print(chunk, end=\"\", flush=True)"
-   ]
   }
  ],
  "metadata": {