Google Gemma API¶
Deprecated
Use the Google Gemma v2 block, which adds a Roboflow-managed API key option, user-selectable privacy controls, and the same OpenRouter passthrough capabilities.
Class: GoogleGemmaBlockV1
Source: inference.core.workflows.core_steps.models.foundation.google_gemma.v1.GoogleGemmaBlockV1
Ask a question to Google's Gemma model with vision capabilities.
You can specify arbitrary text prompts or predefined ones, the block supports the following types of prompt:
-
Open Prompt (
unconstrained) - Use any prompt to generate a raw response -
Text Recognition (OCR) (
ocr) - Model recognizes text in the image -
Visual Question Answering (
visual-question-answering) - Model answers the question you submit in the prompt -
Captioning (short) (
caption) - Model provides a short description of the image -
Captioning (
detailed-caption) - Model provides a long description of the image -
Single-Label Classification (
classification) - Model classifies the image content as one of the provided classes -
Multi-Label Classification (
multi-label-classification) - Model classifies the image content as one or more of the provided classes -
Unprompted Object Detection (
object-detection) - Model detects and returns the bounding boxes for prominent objects in the image -
Structured Output Generation (
structured-answering) - Model returns a JSON response with the specified fields
🛠️ API providers and model variants¶
Gemma is exposed via OpenRouter API and we require passing an OpenRouter API Key to run.
Pick a specific model version from the model_version dropdown - new Gemma releases
will be added to this list as they become available on OpenRouter.
API Usage Charges
OpenRouter is an external third party providing access to the model and incurring charges on the usage. Please check pricing on openrouter.ai before use.
💡 Further reading and Acceptable Use Policy¶
Model license
Check the Gemma Terms of Use before use.
Type identifier¶
Use the following identifier in step "type" field: roboflow_core/google_gemma@v1to add the block as
as step in your workflow.
Properties¶
| Name | Type | Description | Refs |
|---|---|---|---|
name |
str |
Enter a unique identifier for this step.. | ❌ |
task_type |
str |
Task type to be performed by model. Value determines required parameters and output response.. | ❌ |
prompt |
str |
Text prompt to the Gemma model. | ✅ |
output_structure |
Dict[str, str] |
Dictionary with structure of expected JSON response. | ❌ |
classes |
List[str] |
List of classes to be used. | ✅ |
api_key |
str |
Your OpenRouter API key. | ✅ |
model_version |
str |
Model to be used. | ✅ |
max_tokens |
int |
Maximum number of tokens the model can generate in it's response.. | ❌ |
temperature |
float |
Temperature to sample from the model - value in range 0.0-2.0, the higher - the more random / "creative" the generations are.. | ✅ |
max_concurrent_requests |
int |
Number of concurrent requests that can be executed by block when batch of input images provided. If not given - block defaults to value configured globally in Workflows Execution Engine. Please restrict if you hit limits.. | ❌ |
The Refs column marks possibility to parametrise the property with dynamic values available
in workflow runtime. See Bindings for more info.
Runtime compatibility¶
-
requires_internet— air-gapped / offline deployments - This block depends on a service that is not reachable from fully offline / air-gapped deployments.
Available Connections¶
Compatible Blocks
Check what blocks you can connect to Google Gemma API in version v1.
- inputs:
Image Preprocessing,Anthropic Claude,Image Slicer,Dynamic Crop,Bounding Box Visualization,Absolute Static Crop,SIFT Comparison,Stitch Images,Stitch OCR Detections,OpenAI,Email Notification,Stability AI Inpainting,Cosine Similarity,EasyOCR,Llama 3.2 Vision,Florence-2 Model,Gaze Detection,Roboflow Custom Metadata,Dynamic Zone,Auto Rotate on Edges,Keypoint Detection Model,Stability AI Outpainting,Model Comparison Visualization,Slack Notification,Line Counter Visualization,Camera Calibration,Single-Label Classification Model,Clip Comparison,VLM As Detector,CogVLM,Camera Focus,Corner Visualization,Ellipse Visualization,PP-OCR,Morphological Transformation,Detections List Roll-Up,Anthropic Claude,Roboflow Visual Search,Color Visualization,Instance Segmentation Model,OpenAI,Triangle Visualization,Image Contours,Image Threshold,Current Time,Roboflow Visual Search Classifier,QR Code Generator,OpenAI-Compatible LLM,Florence-2 Model,Polygon Zone Visualization,Stitch OCR Detections,Roboflow Asset Library Attributes,GeoTag Detection,Microsoft SQL Server Sink,VLM As Classifier,Camera Focus,Image Convert Grayscale,Label Visualization,Llama 3.2 Vision,Stability AI Image Generation,MQTT Writer,Roboflow Dataset Upload,Local File Sink,Google Gemini,Event Writer,Depth Estimation,Google Gemini,OpenAI,Trace Visualization,Twilio SMS Notification,PLC EthernetIP,LMM For Classification,Object Detection Model,Webhook Sink,Halo Visualization,Buffer,Mask Visualization,Pixelate Visualization,Twilio SMS/MMS Notification,MoonshotAI Kimi,Dot Visualization,Multi-Label Classification Model,Image Stack,OPC UA Writer Sink,Google Gemini,Keypoint Visualization,Dimension Collapse,LMM,Image Slicer,OCR Model,Circle Visualization,Contrast Enhancement,Relative Static Crop,Morphological Transformation,Email Notification,Halo Visualization,Clip Comparison,Cosmos 3,Polygon Visualization,Qwen-VL,PLC Writer,Google Gemma,Crop Visualization,Qwen 3.5 API,Model Monitoring Inference Aggregator,Size Measurement,Icon Visualization,Heatmap Visualization,Motion Detection,Google Gemma API,CSV Formatter,Image Blur,Background Color Visualization,Grid Visualization,Blur Visualization,GLM-OCR,Anthropic Claude,Reference Path Visualization,Classification Label Visualization,Google Vision OCR,Perspective Correction,Background Subtraction,Polygon Visualization,Contrast Equalization,SIFT,Qwen 3.6 API,Text Display,MoonshotAI Kimi,OpenRouter,Qwen3.5-VL,Roboflow Vision Events,Identify Changes,OpenAI,PLC ModbusTCP,S3 Sink,Roboflow Dataset Upload - outputs:
SAM 3,Image Preprocessing,Anthropic Claude,Time in Zone,CLIP Embedding Model,Dynamic Crop,Bounding Box Visualization,Cache Get,Object Detection Model,Path Deviation,SIFT Comparison,Stitch OCR Detections,OpenAI,Instance Segmentation Model,Email Notification,Stability AI Inpainting,Distance Measurement,Frame Delay,Llama 3.2 Vision,Florence-2 Model,Roboflow Custom Metadata,YOLO-World Model,Auto Rotate on Edges,Keypoint Detection Model,Stability AI Outpainting,Model Comparison Visualization,Slack Notification,Detections Classes Replacement,Line Counter Visualization,PLC Reader,Clip Comparison,VLM As Detector,CogVLM,Corner Visualization,Ellipse Visualization,Morphological Transformation,Detections List Roll-Up,Anthropic Claude,Roboflow Visual Search,Color Visualization,Instance Segmentation Model,OpenAI,Triangle Visualization,Time in Zone,Object Detection Model,SAM 3,Image Threshold,SAM 3,Current Time,Roboflow Visual Search Classifier,QR Code Generator,OpenAI-Compatible LLM,Florence-2 Model,Semantic Segmentation Model,Polygon Zone Visualization,Stitch OCR Detections,Path Deviation,Roboflow Asset Library Attributes,Microsoft SQL Server Sink,Moondream2,VLM As Classifier,Label Visualization,Llama 3.2 Vision,Stability AI Image Generation,VLM As Detector,Instance Segmentation Model,Perception Encoder Embedding Model,Line Counter,MQTT Writer,Roboflow Dataset Upload,Local File Sink,Cache Set,VLM As Classifier,Event Writer,Google Gemini,Depth Estimation,Seg Preview,Google Gemini,OpenAI,Trace Visualization,Twilio SMS Notification,Pixel Color Count,PLC EthernetIP,LMM For Classification,Object Detection Model,Webhook Sink,Halo Visualization,Buffer,Mask Visualization,Twilio SMS/MMS Notification,MoonshotAI Kimi,Dot Visualization,OPC UA Writer Sink,Google Gemini,Keypoint Visualization,LMM,PTZ Tracking (ONVIF),Time in Zone,Circle Visualization,Morphological Transformation,Email Notification,Halo Visualization,Clip Comparison,Cosmos 3,Polygon Visualization,Qwen-VL,Google Gemma,Crop Visualization,Qwen 3.5 API,Model Monitoring Inference Aggregator,Keypoint Detection Model,Size Measurement,Icon Visualization,Heatmap Visualization,Single-Label Classification Model,Motion Detection,Google Gemma API,Instance Segmentation Model,Detections Consensus,Segment Anything 2 Model,Image Blur,Background Color Visualization,SAM3 Video Tracker,Detections Stitch,Grid Visualization,GLM-OCR,Anthropic Claude,Reference Path Visualization,Classification Label Visualization,Google Vision OCR,Perspective Correction,Polygon Visualization,Contrast Equalization,Qwen 3.6 API,Text Display,JSON Parser,MoonshotAI Kimi,OpenRouter,Qwen3.5-VL,Roboflow Vision Events,Keypoint Detection Model,OpenAI,Multi-Label Classification Model,S3 Sink,Line Counter,Roboflow Dataset Upload
Input and Output Bindings¶
The available connections depend on its binding kinds. Check what binding kinds
Google Gemma API in version v1 has.
Bindings
-
input
images(image): The image to infer on..prompt(string): Text prompt to the Gemma model.classes(list_of_values): List of classes to be used.api_key(Union[secret,string]): Your OpenRouter API key.model_version(string): Model to be used.temperature(float): Temperature to sample from the model - value in range 0.0-2.0, the higher - the more random / "creative" the generations are..
-
output
output(Union[string,language_model_output]): String value ifstringor LLM / VLM output iflanguage_model_output.classes(list_of_values): List of values of any type.
Example JSON definition of step Google Gemma API in version v1
{
"name": "<your_step_name_here>",
"type": "roboflow_core/google_gemma@v1",
"images": "$inputs.image",
"task_type": "<block_does_not_provide_example>",
"prompt": "my prompt",
"output_structure": {
"my_key": "description"
},
"classes": [
"class-a",
"class-b"
],
"api_key": "xxx-xxx",
"model_version": "Gemma 4 31B - OpenRouter",
"max_tokens": "<block_does_not_provide_example>",
"temperature": "<block_does_not_provide_example>",
"max_concurrent_requests": "<block_does_not_provide_example>"
}