# tGeminiClient Available in... * Cloud Data Fabric * Data Fabric * Qlik Talend Cloud Enterprise Edition * Real-Time Big Data Platform Accesses the Gemini API. With this component, you can use Gemini AI models and their different capabilities. ## tGeminiClient Standard properties These properties are used to configure tGeminiClient running in the Standard Job framework. The Standard tGeminiClient component belongs to the AI family. Information noteNote: This component is available only when you have installed the 8.0.1-R2025-11 Talend Studio monthly update or a later one delivered by Talend. For more information, check with your administrator. ## Basic settings | Properties | Description | | --- | --- | | Property type | Either Built-in or
Repository
.

Built-in: No property data stored centrally.
Repository: Select the repository file in which the properties are stored. The fields that follow are completed automatically using the data retrieved.

| | Schema and Edit Schema | A schema is a row description, it defines the number of fields to be
processed and passed on to the next component. The schema is either
Built-in or stored remotely in the
Repository.

Built-in: You create and store the schema locally for this component only. For more information about a component schema in its Basic settings tab, see Basic settings tab.
Repository: You have already created the schema and stored it in the Repository. You can reuse it in various projects and Job designs. For more information about a component schema in its Basic settings tab, see Basic settings tab.

Click Edit
schema to make changes to the schema. If the current schema is of the Repository type, three options are available:

View schema: choose this option to view the schema only.
Change to built-in property: choose this option to change the schema to Built-in for local changes.
Update repository connection: choose this option to change the schema stored in the repository and decide whether to propagate the changes to all the Jobs upon completion.

If you just want to propagate the changes to the current Job, you can select No upon completion and choose this schema metadata again in the Repository Content window.

| | Guess schema | Click this button to retrieve the schema according to your
settings. | | API Key | Enter the Gemini API key in this field.

To enter the raw key, click the [...] button next to the
corresponding field to bring out the Enter a new
password dialog box, enter the key in the text field, and click
OK. You can also use a context variable in that
field.

For more information on Gemini API Key, read [Using Gemini API keys](https://ai.google.dev/gemini-api/docs/api-key). | | Model | To select one of the available Gemini models, click the
[...] button next to the field. In the dialog box
displayed, select the model that will be used or select the Use custom
value check box and specify the model name in the Custom
value field. | | Prompt | Enter your instructions in this field. For more information on prompt
writing best practices, read [Prompt design strategies](https://ai.google.dev/gemini-api/docs/prompting-strategies).

Example:
Given the following addresses, guess the corresponding country
names. | ## Advanced settings | Properties | Description | | --- | --- | | tStatCatcher Statistics | Select this check box to gather the Job processing metadata at a Job level
and at each component level. | | Base URL | Type in the base URL address of the Gemini API server you want to access, by
default it is https://xxx.googleapis.com. | | API version | Enter the version of the Gemini API server you want to access. | | Endpoint | Enter the second part of the URL in order to complete the base URL filled in
the Base URL field. Base URL and
Endpoint values are joined with the character
/ when needed. | | Use raw JSON | Select this option to manually enter the raw JSON body. | | Response body format | Select the response body format from the drop-down list. The right format
allows the connector to parse and apply operations to the response. Currently,
text, and JSON formats are supported.

Text: Select this format to return a plain text message. In that case the response payload is not parsed and it will not be possible to extract a sub-part from it.
JSON: Select this format if the response received has a JSON format. In that case the payload is translated into correctly parsed JSON records.

| | Extract a sub-part of the response | Enter the path of a node to select a sub-element of the response. If the
element is an array, each element of the array will be looped over. For more
information about the syntax for entering the node name, see [Data Shaping Selector Language syntax](https://help.qlik.com/talend/r/en-US/8.0/data-shaping-language-reference-guide/using-data-shaping-selector-language).

This field is optional and must remain empty to retrieve the entire JSON
response.

This field is only available if you select
JSON from the Response body
format drop-down list.

Information noteNote: This field impacts the schema
of the output flow of this component. It is recommended to update the schema by
clicking the Update configuration button after setting
this field. | | Customize output with DSSL | Select this option to customize the output by entering key/value pairs. Add
a row in the table by clicking the plus button under the table, enter the name of
the node in the Name field, and enter the value in the
Value field.

For more information about the value
syntax, see [Data Shaping Selector Language
syntax](https://help.qlik.com/talend/r/en-US/8.0/data-shaping-language-reference-guide/using-data-shaping-selector-language).

This field is only available if you select
JSON from the Response body
format drop-down list.

Information noteNote: This option impacts the schema
of the output flow of this component. It is recommended to update the schema by
clicking the Update configuration button after setting
the key/value pairs in the table under this option. | ## Global Variables | Variables | Description | | --- | --- | | ERROR\_MESSAGE | ERROR\_MESSAGE: the error message generated by the component when an
error occurs. This is an After variable and it returns a string. | | NB\_LINE | NB\_LINE: the number
of rows read by an input component or transferred to an output component. This is an
After variable and it returns an integer. | **Related tasks** * [Comparing the content of two online pages with Gemini](https://help.qlik.com/talend/en-US/components/8.0/large-language-model/tgeminiclient-tlogrow-comparing-content-of-online-pages-with-gemini-standard-component)