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@v1
to 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:
Rate Limiter
,Identify Changes
,Reference Path Visualization
,Florence-2 Model
,Continue If
,Florence-2 Model
,Keypoint Detection Model
,Circle Visualization
,Mask Visualization
,Multi-Label Classification Model
,Stability AI Image Generation
,Polygon Zone Visualization
,SIFT Comparison
,Stitch Images
,LMM For Classification
,Background Color Visualization
,Data Aggregator
,Camera Focus
,Local File Sink
,Single-Label Classification Model
,Detections Transformation
,Expression
,Google Gemini
,Dynamic Zone
,Gaze Detection
,Clip Comparison
,Image Preprocessing
,Absolute Static Crop
,Stability AI Inpainting
,Path Deviation
,Detection Offset
,Template Matching
,Environment Secrets Store
,Halo Visualization
,SIFT
,SIFT Comparison
,Single-Label Classification Model
,Image Threshold
,Time in Zone
,Detections Consensus
,Line Counter Visualization
,Polygon Visualization
,Time in Zone
,VLM as Detector
,Bounding Box Visualization
,Bounding Rectangle
,Buffer
,Size Measurement
,OpenAI
,Object Detection Model
,Model Comparison Visualization
,Cache Set
,Ellipse Visualization
,Slack Notification
,Pixel Color Count
,JSON Parser
,Relative Static Crop
,Crop Visualization
,Image Blur
,Google Vision OCR
,Barcode Detection
,Anthropic Claude
,CogVLM
,Llama 3.2 Vision
,Detections Classes Replacement
,QR Code Detection
,Segment Anything 2 Model
,Image Slicer
,First Non Empty Or Default
,Cache Get
,Dominant Color
,Blur Visualization
,Delta Filter
,Triangle Visualization
,Stitch OCR Detections
,Property Definition
,Dot Visualization
,Velocity
,Classification Label Visualization
,VLM as Detector
,Byte Tracker
,Dimension Collapse
,Image Convert Grayscale
,Color Visualization
,Pixelate Visualization
,Perspective Correction
,Trace Visualization
,Cosine Similarity
,Corner Visualization
,VLM as Classifier
,Keypoint Detection Model
,VLM as Classifier
,Identify Outliers
,Roboflow Custom Metadata
,Keypoint Visualization
,CSV Formatter
,Webhook Sink
,Label Visualization
,Image Contours
,Line Counter
,Twilio SMS Notification
,Instance Segmentation Model
,Byte Tracker
,Object Detection Model
,Detections Filter
,Grid Visualization
,Roboflow Dataset Upload
,Clip Comparison
,Detections Stitch
,Instance Segmentation Model
,YOLO-World Model
,CLIP Embedding Model
,Email Notification
,LMM
,Multi-Label Classification Model
,Distance Measurement
,Model Monitoring Inference Aggregator
,Dynamic Crop
,Line Counter
,Detections Stabilizer
,OCR Model
,Path Deviation
,OpenAI
,Roboflow Dataset Upload
,Byte Tracker
- outputs:
Rate Limiter
,Identify Changes
,Reference Path Visualization
,Florence-2 Model
,Triangle Visualization
,Stitch OCR Detections
,Continue If
,Property Definition
,Florence-2 Model
,Keypoint Detection Model
,Circle Visualization
,Dot Visualization
,Mask Visualization
,Multi-Label Classification Model
,Stability AI Image Generation
,Polygon Zone Visualization
,Velocity
,SIFT Comparison
,Stitch Images
,LMM For Classification
,Classification Label Visualization
,VLM as Detector
,Background Color Visualization
,Byte Tracker
,Data Aggregator
,Camera Focus
,Dimension Collapse
,Local File Sink
,Image Convert Grayscale
,Color Visualization
,Single-Label Classification Model
,Detections Transformation
,Expression
,Google Gemini
,Dynamic Zone
,Gaze Detection
,Pixelate Visualization
,Perspective Correction
,Clip Comparison
,Image Preprocessing
,Trace Visualization
,Cosine Similarity
,Absolute Static Crop
,Corner Visualization
,VLM as Classifier
,Stability AI Inpainting
,Path Deviation
,Keypoint Detection Model
,Detection Offset
,Template Matching
,VLM as Classifier
,Identify Outliers
,Halo Visualization
,Roboflow Custom Metadata
,Keypoint Visualization
,SIFT
,CSV Formatter
,Webhook Sink
,SIFT Comparison
,Label Visualization
,Image Contours
,Single-Label Classification Model
,Line Counter
,Image Threshold
,Time in Zone
,Twilio SMS Notification
,Line Counter Visualization
,Detections Consensus
,Byte Tracker
,Polygon Visualization
,Instance Segmentation Model
,Object Detection Model
,Time in Zone
,Grid Visualization
,Detections Filter
,VLM as Detector
,Bounding Box Visualization
,Bounding Rectangle
,Buffer
,Size Measurement
,Object Detection Model
,OpenAI
,Roboflow Dataset Upload
,Model Comparison Visualization
,Ellipse Visualization
,Cache Set
,Clip Comparison
,Detections Stitch
,Instance Segmentation Model
,Slack Notification
,YOLO-World Model
,Pixel Color Count
,CLIP Embedding Model
,JSON Parser
,Relative Static Crop
,Crop Visualization
,Image Blur
,Email Notification
,LMM
,Google Vision OCR
,Barcode Detection
,CogVLM
,Anthropic Claude
,Llama 3.2 Vision
,Multi-Label Classification Model
,Detections Classes Replacement
,QR Code Detection
,Distance Measurement
,Model Monitoring Inference Aggregator
,Segment Anything 2 Model
,Dynamic Crop
,Line Counter
,Detections Stabilizer
,OCR Model
,Image Slicer
,First Non Empty Or Default
,Path Deviation
,OpenAI
,Cache Get
,Roboflow Dataset Upload
,Byte Tracker
,Dominant Color
,Blur Visualization
,Delta Filter
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"
}