Cache Set

Class: CacheSetBlockV1

Source: inference.core.workflows.core_steps.cache.cache_set.v1.CacheSetBlockV1

Stores a value in a cache entry for later retrieval.

Use the Cache Get block to fetch values from the cache.

Type identifier

Use the following identifier in step "type" field: roboflow_core/cache_set@v1to add the block as as step in your workflow.

Properties

Name	Type	Description	Refs
name	str	Enter a unique identifier for this step..	❌
key	str	The key of the cache entry to set..	✅

The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.

Available Connections

Compatible Blocks

Check what blocks you can connect to Cache Set in version v1.

• inputs: Florence-2 Model, Detection Offset, Identify Changes, Llama 3.2 Vision, Detections Merge, Reference Path Visualization, JSON Parser, Segment Anything 2 Model, SIFT Comparison, Stability AI Outpainting, Ellipse Visualization, Identify Outliers, Relative Static Crop, Twilio SMS Notification, Continue If, Bounding Rectangle, Path Deviation, Rate Limiter, Line Counter, Email Notification, QR Code Detection, Detections Classes Replacement, Roboflow Custom Metadata, Color Visualization, Classification Label Visualization, Multi-Label Classification Model, Perspective Correction, YOLO-World Model, Detections Stabilizer, Environment Secrets Store, SIFT Comparison, Velocity, Model Comparison Visualization, Time in Zone, Stability AI Image Generation, First Non Empty Or Default, Slack Notification, Model Monitoring Inference Aggregator, Pixelate Visualization, Object Detection Model, Line Counter, Detections Consensus, Image Blur, Property Definition, Keypoint Detection Model, Pixel Color Count, Image Slicer, Image Slicer, Circle Visualization, SmolVLM2, Template Matching, Perception Encoder Embedding Model, Multi-Label Classification Model, Overlap Filter, Dimension Collapse, Instance Segmentation Model, Google Vision OCR, Cache Set, Stitch Images, Data Aggregator, Clip Comparison, LMM For Classification, Single-Label Classification Model, Moondream2, Background Color Visualization, Anthropic Claude, Webhook Sink, Halo Visualization, OpenAI, Camera Calibration, Detections Filter, Delta Filter, Expression, Triangle Visualization, Mask Visualization, Dynamic Crop, Byte Tracker, Image Threshold, Qwen2.5-VL, VLM as Classifier, Dominant Color, Object Detection Model, Depth Estimation, Time in Zone, Roboflow Dataset Upload, Bounding Box Visualization, Path Deviation, VLM as Classifier, LMM, Instance Segmentation Model, PTZ Tracking (ONVIF).md), Local File Sink, Distance Measurement, CogVLM, Polygon Zone Visualization, Detections Transformation, Size Measurement, Trace Visualization, Byte Tracker, Polygon Visualization, Byte Tracker, Stitch OCR Detections, Stability AI Inpainting, Label Visualization, CSV Formatter, Detections Stitch, Keypoint Detection Model, Absolute Static Crop, Dynamic Zone, Camera Focus, Keypoint Visualization, OpenAI, Image Contours, Blur Visualization, Clip Comparison, OpenAI, Grid Visualization, VLM as Detector, Image Convert Grayscale, Corner Visualization, SIFT, Cache Get, Crop Visualization, Dot Visualization, Google Gemini, Single-Label Classification Model, Barcode Detection, Buffer, Florence-2 Model, Cosine Similarity, OCR Model, CLIP Embedding Model, VLM as Detector, Roboflow Dataset Upload, Gaze Detection, Image Preprocessing, Line Counter Visualization
• outputs: Florence-2 Model, Detection Offset, Identify Changes, Llama 3.2 Vision, Reference Path Visualization, Detections Merge, JSON Parser, Segment Anything 2 Model, SIFT Comparison, Stability AI Outpainting, Ellipse Visualization, Identify Outliers, Relative Static Crop, Twilio SMS Notification, Continue If, Bounding Rectangle, Path Deviation, Rate Limiter, Line Counter, Email Notification, QR Code Detection, Detections Classes Replacement, Roboflow Custom Metadata, Color Visualization, Classification Label Visualization, Multi-Label Classification Model, YOLO-World Model, Perspective Correction, Detections Stabilizer, Velocity, SIFT Comparison, Time in Zone, Model Comparison Visualization, Stability AI Image Generation, First Non Empty Or Default, Slack Notification, Model Monitoring Inference Aggregator, Pixelate Visualization, Object Detection Model, Line Counter, Detections Consensus, Image Blur, Keypoint Detection Model, Property Definition, Pixel Color Count, Image Slicer, Image Slicer, Circle Visualization, SmolVLM2, Template Matching, Multi-Label Classification Model, Perception Encoder Embedding Model, Overlap Filter, Dimension Collapse, Instance Segmentation Model, Google Vision OCR, Cache Set, Stitch Images, Data Aggregator, Clip Comparison, LMM For Classification, Single-Label Classification Model, Moondream2, Background Color Visualization, Anthropic Claude, Webhook Sink, Halo Visualization, OpenAI, Camera Calibration, Detections Filter, Delta Filter, Expression, Triangle Visualization, Mask Visualization, Dynamic Crop, Byte Tracker, Image Threshold, Qwen2.5-VL, VLM as Classifier, Dominant Color, Object Detection Model, Depth Estimation, Time in Zone, Roboflow Dataset Upload, Bounding Box Visualization, Path Deviation, VLM as Classifier, LMM, Instance Segmentation Model, PTZ Tracking (ONVIF).md), Local File Sink, Distance Measurement, CogVLM, Polygon Zone Visualization, Detections Transformation, Trace Visualization, Size Measurement, Byte Tracker, Polygon Visualization, Byte Tracker, Stability AI Inpainting, Stitch OCR Detections, Label Visualization, Detections Stitch, CSV Formatter, Keypoint Detection Model, Absolute Static Crop, Dynamic Zone, Camera Focus, Keypoint Visualization, OpenAI, Image Contours, Blur Visualization, Clip Comparison, OpenAI, Grid Visualization, VLM as Detector, Image Convert Grayscale, Corner Visualization, SIFT, Cache Get, Crop Visualization, Dot Visualization, Google Gemini, Single-Label Classification Model, Barcode Detection, Buffer, Florence-2 Model, Cosine Similarity, OCR Model, CLIP Embedding Model, VLM as Detector, Roboflow Dataset Upload, Gaze Detection, Line Counter Visualization, Image Preprocessing

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Cache Set in version v1 has.

Bindings

• input

  • image (image): The image data to use as a reference for the cache namespace..
  • key (string): The key of the cache entry to set..
  • value (Union[*, list_of_values]): The value to store in the cache..

• output

  • output (*): Equivalent of any element.

Example JSON definition of step Cache Set in version v1

{
    "name": "<your_step_name_here>",
    "type": "roboflow_core/cache_set@v1",
    "image": "$inputs.image",
    "key": "my_cache_key",
    "value": "any_value"
}