Kong AI Gateway

Kong AI Gateway

Kong AI Gateway empowers developers to accelerate the adoption of Generative AI by seamlessly integrating and securing popular Large Language Models (LLMs). With semantic caching, advanced prompt engineering, and no-code API transformations, it simplifies migration and enhances compliance, allowing teams to build intelligent applications effortlessly while ensuring robust security and governance.

Top Kong AI Gateway Alternatives

1

AI Gateway for IBM API Connect

The AI Gateway for IBM API Connect serves as a pivotal control hub, enabling organizations to seamlessly access AI services through public APIs.

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2

MLflow

MLflow is an open-source platform designed to streamline the machine learning lifecycle, encompassing experimentation, deployment, and model management.

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3

BaristaGPT LLM Gateway

The BaristaGPT LLM Gateway revolutionizes workplace productivity by enabling safe and responsible access to Large Language Models like ChatGPT.

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4

Gloo AI Gateway

Gloo AI Gateway offers a robust cloud-native solution for managing AI applications with advanced security and control.

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5

Undrstnd

Empowering developers and businesses, this platform enables the creation of AI-powered applications with just four lines of code.

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6

LiteLLM

LiteLLM serves as an AI Gateway, enabling seamless access to over 100 Large Language Models through a unified interface.

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7

Arch

By integrating specialized LLMs, Arch handles complex tasks such as query routing, function calling, and...

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8

AI Gateway

By providing access to authorized AI services on a streamlined platform, it ensures data governance...

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9

Kosmoy

By integrating various LLMs with pre-built connectors, it centralizes compliance and billing while enabling intelligent...

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10

NeuralTrust

Its features include real-time threat detection, automated data sanitization, and customizable policies...

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Top Kong AI Gateway Features

  • Semantic AI plugins support
  • Multi-LLM integration
  • Declarative configuration for APIs
  • Advanced prompt engineering
  • Semantic caching capabilities
  • No-code AI integrations
  • Centralized prompt management
  • AI behavior monitoring
  • Semantic routing for models
  • LLM observability tools
  • AI request insights
  • Compliance and governance features
  • AI traffic security enhancements
  • Prompt template creation
  • Simplified migration process
  • Enhanced developer productivity
  • Advanced load balancing
  • Abuse detection mechanisms
  • Unified API management platform
  • LLM traffic optimization