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Average Ratings 0 Ratings
Description
Clef-flash is a rapid 9B multimodal decision-making model that converts a given state and a framework of typed inquiries into organized decisions. It has the capability to interpret state data in various formats such as text, JSON, images, or video, providing a probability for each possible option related to every question posed. The model accommodates a context window of 24,576 tokens and supports visual input, enabling developers to analyze structured application data alongside visual materials seamlessly. Clef Flash features three specific formats for typed questions: "noul" for estimating the likelihood of a proposition being correct, "choice" for opting among a set of predefined alternatives with individual probabilities, and "score" for assessing input against a hierarchy of criteria to generate a probability-weighted score. Applications can pose between 1 and 64 questions in a single API call, with responses linked to the original question IDs. Potential applications include assessing the urgency of a support request, directing it to the appropriate team, and evaluating the severity of customer impact, thus enhancing operational efficiency in decision-making processes. By utilizing this model, organizations can improve their response strategies and streamline workflows further.
Description
The Decisions API is designed to transform both text and images into structured decisions that applications can utilize, processing inputs approximately ten times faster than the Responses API. Developers must provide a model along with shared input evidence and one or more questions that outline the evaluation criteria, after which the API delivers organized answers suitable for tasks like content classification, request routing, work prioritization, or making decisions based on defined thresholds. It accommodates three types of questions: predicate, which assesses whether a condition holds true and yields a probability ranging from 0 to 1; choice, which chooses a single value from a predetermined set and provides the associated probabilities and confidence levels; and score, which measures an input against a set of ordered rubric levels to return a probability-weighted score. The system is versatile in that it can process inputs as plain text or as user messages that include both text and images, making it effective for evaluating various scenarios such as identifying visible product damage, determining request intent, classifying document types, assessing issue severity, or evaluating answer relevance. This capability empowers developers to create more responsive and intelligent applications tailored to user needs.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
GPT-6 Luna
No
Markdown
Yes
OpenAI
No
Python
Yes
TypeScript
Yes
Integrations
GPT-6 Luna
Yes
Markdown
No
OpenAI
Yes
Python
No
TypeScript
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cloudflare
Founded
2009
Country
United States
Website
developers.cloudflare.com/workers-ai/models/clef-flash/
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
developers.openai.com/api/docs/guides/decisions