Gemini AI

Google Gemini AI

The robomotion googlegemini CLI calls Google's Gemini API for text generation, image analysis, and embeddings. It supports single-turn generation, multi-turn chat with history, vision (image + text), and embedding generation.

When to use

• Generate text responses using Gemini models
• Analyze images with text prompts (vision)
• Run multi-turn chat conversations with history
• Generate text embeddings for semantic search

Prerequisites

• robomotion CLI installed
• Package installed: robomotion install googlegemini
• Google Gemini API key configured via Robomotion vault

IMPORTANT: Session Mode Required for Multi-Step Operations

Each CLI command runs as a separate process — connection IDs from connect do NOT persist across calls. You MUST use --session on connect and pass --session-id to all subsequent commands.

Workflow

1. Install (once): robomotion install googlegemini
2. Connect with session:

   robomotion googlegemini connect_gemini --session --output json
   # → {"outConnectionId":"<connection-id>","session_id":"<session-id>"}
   

3. Use the returned connection-id and session-id in all subsequent commands:

   robomotion googlegemini generate_text --connection-id "<connection-id>" --prompt <text> --session-id "<session-id>" --output json
   

4. Disconnect when done:

   robomotion googlegemini disconnect_gemini --connection-id "<connection-id>" --session-id "<session-id>" --output json
   

Always append --output json to get structured JSON results.

Commands Reference

• robomotion googlegemini connect --session --output json Establishes a connection to Google Gemini API using API key or Robomotion credits
• robomotion googlegemini generate_text --connection-id --system-prompt --user-prompt --local-file-paths --file-paths --uploaded-files [--model] [--custom-model] [--number-of-generations] [--temperature] [--top-p] [--top-k] [--max-output-tokens] [--thinking-mode] [--thinking-budget] [--safety-settings-harassment] [--safety-settings-hate-speech] [--safety-settings-sexually-explicit] [--safety-settings-dangerous-content] [--safety-settings-civic-integrity] [--response-mime-type] [--response-schema] [--presence-penalty] [--frequency-penalty] [--stop-sequences] [--60] --session-id "<session-id>" --output json Generates text using Google Gemini models with optional file inputs
• robomotion googlegemini send_chat_message --connection-id --user-prompt --history --local-file-paths --file-paths --uploaded-files [--model] [--custom-model] [--temperature] [--top-p] [--top-k] [--max-output-tokens] [--safety-settings-harassment] [--safety-settings-hate-speech] [--safety-settings-sexually-explicit] [--safety-settings-dangerous-content] [--safety-settings-civic-integrity] [--response-mime-type] [--presence-penalty] [--frequency-penalty] [--60] --session-id "<session-id>" --output json Sends a message in a multi-turn chat conversation with Gemini
• robomotion googlegemini upload_file --connection-id --file-display-name --file-local-path --session-id "<session-id>" --output json Uploads a local file to Google Gemini for use in prompts
• robomotion googlegemini list_files --connection-id [--page-size] [--page-token] [--max-results] --session-id "<session-id>" --output json Lists all uploaded files in your Google Gemini account
• robomotion googlegemini get_file --connection-id --file-uri --session-id "<session-id>" --output json Retrieves metadata for an uploaded file from Google Gemini
• robomotion googlegemini delete_file --connection-id --file-uri --session-id "<session-id>" --output json Deletes an uploaded file from Google Gemini
• robomotion googlegemini list_models --connection-id [--page-size] [--page-token] [--filter] [--max-results] --session-id "<session-id>" --output json Lists available Gemini models with their capabilities and token limits
• robomotion googlegemini embeddings --connection-id --content --compare-text [--title] [--task-type] [--embedding-model] [--output-dimensionality] --session-id "<session-id>" --output json Generates text embeddings for semantic search٫ classification٫ and similarity tasks
• robomotion googlegemini batch_embeddings --connection-id --contents [--task-type] [--embedding-model] [--title] [--output-dimensionality] --session-id "<session-id>" --output json Generates embeddings for multiple texts in a single batch operation
• robomotion googlegemini compare_embeddings --connection-id --source-text --comparison-texts --source-embedding-file --target-embeddings-file --comparison-texts-file [--embedding-model] [--custom-model] [--similarity-metric] [--similarity-threshold] [--max-results] [--sort-order] [--60] --session-id "<session-id>" --output json Compares semantic similarity between a source text and multiple target texts
• robomotion googlegemini generate_image --connection-id --prompt --reference-images --reference-images [--model] [--custom-model] [--number-of-images] [--aspect-ratio] [--image-size] [--person-generation] [--output-format] [--120] --session-id "<session-id>" --output json Generates images using Google Gemini image generation models
• robomotion googlegemini edit_image --connection-id --edit-prompt --base-image-path --mask-image-path [--model] [--custom-model] [--number-of-images] [--negative-prompt] [--output-format] [--output-quality] [--120] --session-id "<session-id>" --output json Edits an existing image using Gemini with mask-based inpainting
• robomotion googlegemini generate_video --connection-id --video-prompt --negative-prompt --first-frame-image --last-frame-image [--model] [--custom-model] [--aspect-ratio] [--resolution] [--duration] [--generate-audio] [--person-generation] [--600] --session-id "<session-id>" --output json Generates videos using Google Veo models with optional audio and frame control
• robomotion googlegemini disconnect --connection-id --session-id "<session-id>" --output json Closes an existing Google Gemini API connection

Environment

• ROBOMOTION_API_TOKEN (if vault credentials are needed)