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