google-genai[patch]: release 0.0.9, safety settings docs

docs/docs/integrations/chat/google_generative_ai.ipynb

@@ -320,20 +320,51 @@
     "4. Message may be blocked if they violate the safety checks of the LLM. In this case, the model will return an empty response."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "54793b9e",
+   "metadata": {},
+   "source": [
+    "### Safety Settings\n",
+    "\n",
+    "Gemini models have default safety settings that can be overridden. If you are receiving lots of \"Safety Warnings\" from your models, you can try tweaking the `safety_settings` attribute of the model. For example, to turn off safety blocking for dangerous content, you can construct your LLM as follows:"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "75fdfad6",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "from langchain_google_genai import (\n",
+    "    ChatGoogleGenerativeAI,\n",
+    "    HarmBlockThreshold,\n",
+    "    HarmCategory,\n",
+    ")\n",
+    "\n",
+    "llm = ChatGoogleGenerativeAI(\n",
+    "    model=\"gemini-pro\",\n",
+    "    safety_settings={\n",
+    "        HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_NONE,\n",
+    "    },\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e68e203d",
+   "metadata": {},
+   "source": [
+    "For an enumeration of the categories and thresholds available, see Google's [safety setting types](https://ai.google.dev/api/python/google/generativeai/types/SafetySettingDict)."
+   ]
   },
   {
    "cell_type": "markdown",
    "id": "92b5aca5",
    "metadata": {},
    "source": [
-    "## Additional Configuraation\n",
+    "## Additional Configuration\n",
     "\n",
     "You can pass the following parameters to ChatGoogleGenerativeAI in order to customize the SDK's behavior:\n",
     "\n",

docs/docs/integrations/llms/google_ai.ipynb

@@ -264,13 +264,41 @@
     "    sys.stdout.flush()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "aefe6df7",
+   "metadata": {},
+   "source": [
+    "### Safety Settings\n",
+    "\n",
+    "Gemini models have default safety settings that can be overridden. If you are receiving lots of \"Safety Warnings\" from your models, you can try tweaking the `safety_settings` attribute of the model. For example, to turn off safety blocking for dangerous content, you can construct your LLM as follows:"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "aefe6df7",
+   "id": "7e2682e6",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "from langchain_google_genai import GoogleGenerativeAI, HarmBlockThreshold, HarmCategory\n",
+    "\n",
+    "llm = GoogleGenerativeAI(\n",
+    "    model=\"gemini-pro\",\n",
+    "    google_api_key=api_key,\n",
+    "    safety_settings={\n",
+    "        HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_NONE,\n",
+    "    },\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e8d0ee0b",
+   "metadata": {},
+   "source": [
+    "For an enumeration of the categories and thresholds available, see Google's [safety setting types](https://ai.google.dev/api/python/google/generativeai/types/SafetySettingDict)."
+   ]
   }
  ],
  "metadata": {

docs/docs/integrations/text_embedding/google_generative_ai.ipynb

@@ -200,7 +200,7 @@
    "id": "2e7857e5",
    "metadata": {},
    "source": [
-    "## Additional Configuraation\n",
+    "## Additional Configuration\n",
     "\n",
     "You can pass the following parameters to ChatGoogleGenerativeAI in order to customize the SDK's behavior:\n",
     "\n",

libs/partners/google-genai/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langchain-google-genai"
-version = "0.0.8"
+version = "0.0.9"
 description = "An integration package connecting Google's genai package and LangChain"
 authors = []
 readme = "README.md"
@@ -70,9 +70,9 @@ types-google-cloud-ndb = "^2.2.0.1"
 
 [tool.ruff.lint]
 select = [
-  "E",  # pycodestyle
-  "F",  # pyflakes
-  "I",  # isort
+  "E",    # pycodestyle
+  "F",    # pyflakes
+  "I",    # isort
   "T201", # print
 ]