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What is TensorZero?

TensorZero is an innovative open-source platform designed specifically for LLMOps, which integrates an LLM gateway, observability, evaluation, optimization, and experimentation into a unified framework. This platform fosters a feedback loop that significantly improves LLM applications by converting production metrics and user feedback into smarter, more efficient, and economical models and agents. By offering a centralized gateway, TensorZero allows teams to connect once and gain access to an extensive selection of top LLM providers through a single, streamlined API. This integration includes both API and self-hosted models and provides various functionalities such as tool usage, structured outputs, batch inference, embeddings, multimodal inputs, caching, routing, retries, fallbacks, load balancing, precise timeouts, usage tracking, personalized rate limits, and the safeguarding of provider keys. Built using Rust, TensorZero emphasizes high performance, ensuring remarkable throughput and reduced latency for production tasks, while giving teams the flexibility to utilize only the features they need. Its observability feature logs inferences and feedback directly within the user’s database, enabling access through programming interfaces or the open-source user interface, which enhances user engagement. By doing so, TensorZero not only improves the overall user experience but also empowers more informed decision-making through comprehensive data analytics, ultimately driving innovation in LLM applications.

What is AI Gateway HQ?

AI Gateway HQ functions as a comprehensive management platform that centralizes AI connectivity, enabling organizations to link their various applications, coding agents, and automation tools with multiple model providers. By offering API endpoints compatible with major players like OpenAI and Anthropic, it efficiently handles requests while managing provider credentials, model aliases, workload keys, and fallback protocols. Administrators can implement strict identity and access controls, monitor request metadata, oversee budgets related to organization and workloads, set rate and concurrency limitations, and analyze routing, usage, costs, and adherence to established policies. Moreover, users have the flexibility to either integrate their own provider API credentials or select a managed solution through Amazon Bedrock, which operates on a prepaid credit basis. Configuration and governance of requests can be easily accomplished via a user-friendly browser-based console and API, which supports established client setups that include Codex CLI, Claude Code, and OpenCode. This platform empowers teams to streamline their AI access, manage both model usage and associated costs, and consistently track operational metrics across various applications and environments, thereby ensuring accountability and efficiency in their AI efforts. Ultimately, the service not only enhances organizational AI strategies but also reinforces control over resource allocation and compliance, fostering a structured approach to AI implementation. Organizations can thus maximize their return on investment while navigating the complexities of AI deployment.

Media

Media

Integrations Supported

Integrations Supported

Amazon Bedrock
Amazon Web Services (AWS)
Anthropic
Azure OpenAI Service
Claude Code
Codex CLI
DeepSeek
Fireworks AI
Gemini
Groq
Microsoft Entra ID
Mistral AI
Okta
OpenAI
OpenCode
OpenRouter
Terraform
Together AI

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

$499/month
A limited free evaluation includes a no-card Test Lab, $1 of gateway-request credit (not model credit), one administrator, two provider credentials, and seven-day metadata retention. Flex has no monthly base charge and costs $0.10 per 1,000 successful requests, prepaid; provider inference is billed separately. Company is $499/month for up to 2 million successful requests per UTC calendar month. Portfolio is $1,500/month base for up to 10 million requests. Hosted enterprise starts at $36,000/year. Private-deployment design starts at $60,000/year; this is not a self-service deployment license. Taxes, provider inference, and separately contracted services may add costs.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

TensorZero

Date Founded

2023

Company Location

United States

Company Website

github.com/tensorzero/tensorzero

Company Facts

Organization Name

AI Gateway HQ

Date Founded

2026

Company Location

United States

Company Website

aigatewayhq.com

Categories and Features

AI Gateways

Not specified

LLM Routers

Not specified

Categories and Features

AI Gateways

Not specified

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