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

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"
}