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About

PromptUnit is an AI inference proxy that reduces AI costs automatically by sitting between an app and its AI providers with no code changes required. Teams swap the base URL, keep the same SDK, endpoints, response parsing, and error handling, then PromptUnit handles routing, failover, cost tracking, and quality validation. It logs every API call by model, feature, user segment, token count, latency, and cost, giving real-time visibility into where AI spend is going before any routing changes go live. In observation mode, PromptUnit watches traffic, shadow-classifies requests, forecasts savings, and explains routing decisions so teams can see exact savings before enabling live routing. Once enabled, Smart Routing uses task classification to route each request to the cheapest model that clears the configured quality bar. PromptUnit also includes prompt compression, token inflation defense, prompt efficiency scoring, semantic request caching, and multi-model consensus.

About

TensorBlock is an open source AI infrastructure platform designed to democratize access to large language models through two complementary components. It has a self-hosted, privacy-first API gateway that unifies connections to any LLM provider under a single, OpenAI-compatible endpoint, with encrypted key management, dynamic model routing, usage analytics, and cost-optimized orchestration. TensorBlock Studio delivers a lightweight, developer-friendly multi-LLM interaction workspace featuring a plugin-based UI, extensible prompt workflows, real-time conversation history, and integrated natural-language APIs for seamless prompt engineering and model comparison. Built on a modular, scalable architecture and guided by principles of openness, composability, and fairness, TensorBlock enables organizations to experiment, deploy, and manage AI agents with full control and minimal infrastructure overhead.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI product, engineering, and platform teams that need to reduce inference costs, track usage, and route model calls intelligently without rewriting their production stack

Audience

Developers, AI engineers, and organizations wanting a solution to integrate, manage, and interact with multiple large language models through a consistent API and extensible workspace

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

PromptUnit
United States
www.promptunit.ai/

Company Information

TensorBlock
United States
tensorblock.co

Alternatives

Alternatives

Portkey

Portkey

Portkey.ai

Categories

Categories

Integrations

Claude
DeepSeek
OpenAI
Cloudflare
GPT-4
Gemini
Gemini Enterprise Agent Platform
Go
Google Cloud Platform
Groq
Lambda
Meta AI
Microsoft 365
Microsoft Azure
Mistral AI
Model Context Protocol (MCP)
NVIDIA DRIVE
Node.js
Python
Ruby

Integrations

Claude
DeepSeek
OpenAI
Cloudflare
GPT-4
Gemini
Gemini Enterprise Agent Platform
Go
Google Cloud Platform
Groq
Lambda
Meta AI
Microsoft 365
Microsoft Azure
Mistral AI
Model Context Protocol (MCP)
NVIDIA DRIVE
Node.js
Python
Ruby
Claim PromptUnit and update features and information
Claim PromptUnit and update features and information
Claim TensorBlock and update features and information
Claim TensorBlock and update features and information