> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cognigy.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Google Gemini
export const largeLanguageModelId_0 = undefined
Added in 2026.9
To start using a Google Gemini model with Cognigy.AI features, follow these steps:
1. [Add a Model](#add-models)
2. [Apply the Model](#apply-the-model)
## Add Models
You can add a model using one of the following interfaces:
* [GUI](#add-models-via-gui)
* [API](#add-models-via-the-api)
### Add Models via GUI
You can add a model provided by Google Gemini to Cognigy.AI in **Build > LLM**. To add the model, you will need the following parameters:
| Parameter | Description |
| --------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| JSON | To upload the JSON file with a key for your model, you need to obtain this key. If you have previously used a key for the Google Vertex AI connection, you can also use this key for Google Gemini. If you're setting up the connection for the first time, go to the Google Cloud console and find Vertex AI via the search bar. On the **Vertex AI** page, click the **Enable All Recommended APIs** button to activate an API connection, if it is not activated. Ensure that the Vertex AI API is enabled. In the left-side menu, go to the **IAM & Admin > Service Accounts**. Select **Actions** and click **Manage Keys**. On the **Keys** page, select **Add Key** and click **Create new Key**. In the appeared window, select the **JSON** key type and click **Create**. The file will be downloaded. |
| Location | Add a [region](https://cloud.google.com/vertex-ai/docs/general/locations) for the model. For example, `us-central1`. |
| Parameter | Description |
| ---------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Model Type | Select the **Chat** type. |
| Model Name | Enter the name of the model that you want to use as a custom model. To find model names, refer to the [Google Gemini](https://ai.google.dev/gemini-api/docs/models/gemini) documentation. Note that, within this connection, Cognigy supports only the `gemini` models. |
| JSON | To upload the JSON file with a key for your model, you need to obtain this key. If you have previously used a key for the Google Vertex AI connection, you can also use this key for Google Gemini. If you're setting up the connection for the first time, go to the Google Cloud console and find Vertex AI via the search bar. On the **Vertex AI** page, click the **Enable All Recommended APIs** button to activate an API connection, if it is not activated. Ensure that the Vertex AI API is enabled. In the left-side menu, go to the **IAM & Admin > Service Accounts**. Select **Actions** and click **Manage Keys**. On the **Keys** page, select **Add Key** and click **Create new Key**. In the appeared window, select the **JSON** key type and click **Create**. The file will be downloaded. |
| Location | Add a [region](https://cloud.google.com/vertex-ai/docs/general/locations) for the model. For example, `us-central1`. |
Apply changes. Check if the connection was set up by clicking **Test**.
### Add Models via the API
You can add either a standard or custom model using the [Cognigy.AI API POST /v2.0/largelanguagemodels](https://api-trial.cognigy.ai/openapi#post-/v2.0/largelanguagemodels) request.
Then, test your connection for the created model via the [Cognigy.AI API POST /v2.0/largelanguagemodels/{largeLanguageModelId_0}/test](https://api-trial.cognigy.ai/openapi#post-/v2.0/largelanguagemodels/-largeLanguageModelId-/test).
## Apply the Model
To apply a model, follow these steps:
1. In the left-side menu of the Project, go to **Manage > Settings**.
2. Go to the section based on your use case for using a model:
* **Generative AI Settings**. In the **Generative AI Settings** section, activate **Enable Generative AI Features**. This setting is toggled on by default if you have previously set up the Generative AI credentials.
* **Knowledge AI Settings**. Use this section if you need to add a model for Knowledge AI. Select a model for the **Knowledge Search** and **Answer Extraction** features. Refer to the [list of standard models](https://docs.cognigy.com/ai/empower/llms/model-support-by-feature/) and find the models that support these features.
3. Navigate to the desired feature and select a model from the list. If there are no models available for the selected feature, the system will automatically select **None**. Save changes.
## More Information
* [Other LLM Operations](/ai/agents/develop/gen-ai-and-llms/other-operations)
* [Overview](/ai/agents/develop/gen-ai-and-llms/llms)
* [All LLM Providers](/ai/agents/develop/gen-ai-and-llms/providers/all-providers)
* [Model support by feature](/ai/agents/develop/gen-ai-and-llms/model-support-by-feature)