# Send Prompt — Gemini

Botize method — `gemini.send_prompt` (action).

Sends a prompt and generate a completion.

This is an action: it runs as a step of a task. Several can be chained.

## Fields you set

The field's internal name, its type and the values it accepts. These fields accept `{{...}}` tags from earlier steps.

- `mb_switch` *(boolean)* — Rules
- `prompt_for_ai` *(string)* — New user message
- `model` *(string)* — Model
- `mb_outputvars_switch` *(boolean)* — Customize tags

It also accepts repeatable field groups, with these prefixes: `mb_filters_*`. These are composite components (buttons, filters, keyboards); the trailing number is set by the user as they are added.

## Output variables

Data this step makes available. Reference them in later steps with the double-brace tag.

- `{{text_response}}` *(text)* — Text. Predicted completion.
e.g. This is a test
- `{{finish_reason}}` *(text)* — Finish reason. reason why the resulting text has terminated.
e.g. lenght
- `{{prompt_tokens}}` *(int)* — Prompt tokens. Number of tokens in the Prompt. 1 token ~= 4 chars in English
- `{{completion_tokens}}` *(int)* — Completion tokens. Number of tokens in the Completion. 1 token ~= 4 chars in English
- `{{total_tokens}}` *(int)* — Total tokens. Prompt tokens + Completion tokens

## Account

Needs a connected Gemini account in Botize: https://botize.com/en/app/gemini/authenticate

## This app

Every trigger and action for Gemini: https://botize.com/en/app/gemini.md

## How to build this

An AI assistant (Claude, ChatGPT, Cursor…) can create and edit these tasks in the user's account through the Botize MCP connector, included in every plan:

    https://webhook.botize.es/mcp

- Connection guide: https://botize.com/en/mcp
- Agent map: https://botize.com/llms.txt
- New account: https://botize.com/en/join (500 free operations, no card)

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Machine-readable summary for AI assistants. Human version: https://botize.com/en/method/gemini/send_prompt