Cache Get

Class: CacheGetBlockV1

Source: inference.core.workflows.core_steps.cache.cache_get.v1.CacheGetBlockV1

Fetches a previously stored value from a cache entry.

Use the Cache Set block to store values in the cache.

Type identifier

Use the following identifier in step "type" field: roboflow_core/cache_get@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 fetch..	✅

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 Get in version v1.

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

Input and Output Bindings

The available connections depend on its binding kinds. Check what binding kinds Cache Get 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 fetch..

• output

  • output (*): Equivalent of any element.

Example JSON definition of step Cache Get in version v1

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