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Description

Gemini Decision 1 is a specialized AI model from Google designed to evaluate information and produce structured decisions instead of generating natural language responses. The model enables developers to ask specific questions about provided content and receive probabilistic answers that can guide automated processes. It supports several decision formats, including yes-or-no classifications, selections from predefined options, and scores based on established criteria. Each evaluation can include confidence measurements and probability distributions to help applications interpret the model's predictions. Gemini Decision 1 offers a context window of approximately 262,144 tokens, allowing it to examine lengthy documents and substantial amounts of contextual data. Applications can use the model to classify incoming requests, prioritize tasks, route information, and assess whether content meets specified requirements. Its structured outputs are particularly useful for AI agents that need to select actions or evaluate conditions within automated workflows. Developers can access the model through supported API services, including Google's Gemini API ecosystem and Vercel AI Gateway. By focusing on decision-oriented inference rather than open-ended text generation, Gemini Decision 1 provides a way to incorporate AI-powered classification and evaluation into software applications.

Description

Span-01 is an advanced hyper-parallel reasoning classifier that identifies intricate patterns within extensive production traces in a single forward pass. Instead of producing tokens one after the other, it analyzes natural-language behavior definitions and provides direct probabilities indicating whether a behavior is present, absent, or not observable. The model undergoes initial training for general classification reasoning using Reinforcement Learning with Human Feedback (RLAIF) before it is fine-tuned specifically for behavior detection. This allows Span-01 to utilize previously unseen definitions for new behaviors and various domains, avoiding limitations imposed by a rigid taxonomy. During the inference phase, its hyper-parallel definition branches assess multiple behaviors simultaneously against the same trace context, and the incorporation of hybrid attention facilitates effective reasoning over lengthy and intricate inputs. Span-01 is meticulously crafted for monitoring production environments with a focus on safety, reliability, grounding, agent behavior, and response quality, addressing challenges such as jailbreak and prompt injection detection, as well as privacy and confidentiality concerns. Its innovative approach positions Span-01 as a significant advancement in the field, enabling more efficient and comprehensive analysis of complex behaviors.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AssemblyAI No 
Cognee No 
Gemini Yes 
Gemini platform Yes 
Google AI Studio Yes 
Google Cloud Platform Yes 
Google GenAI SDK No 
JavaScript No 
LangChain No 
LinkUp No 
LlamaIndex No 
Mastra No 
Mem0 No 
OpenAI No 
OpenAI Agents API No 
PostHog No 
Python No 
TypeScript No 
Vercel No 

Integrations

AssemblyAI Yes 
Cognee Yes 
Gemini No 
Gemini platform No 
Google AI Studio No 
Google Cloud Platform No 
Google GenAI SDK Yes 
JavaScript Yes 
LangChain Yes 
LinkUp Yes 
LlamaIndex Yes 
Mastra Yes 
Mem0 Yes 
OpenAI Yes 
OpenAI Agents API Yes 
PostHog Yes 
Python Yes 
TypeScript Yes 
Vercel Yes 

Pricing Details

$0.10 per 1M tokens (input)
$0.10 per 1 million tokens (input), no charge for output tokens
Free Trial No 
Free Version Yes 

Pricing Details

$199 per month
Free Trial Yes 
Free Version Yes 

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 No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

aistudio.google.com/docs/models/gemini-decision-1

Vendor Details

Company Name

Respan

Founded

2023

Country

United States

Website

www.respan.ai/blog/introducing-span-1

Product Features

Product Features

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