Kong AI Gateway

Kong AI Gateway is the AI-native capability layer built on top of Kong Gateway and managed through Kong Konnect. It exposes a normalized, provider-agnostic LLM API across 16+ providers (OpenAI, Anthropic, Azure AI, Amazon Bedrock, Google Gemini, Vertex AI, Cohere, Hugging Face, Llama, Mistral, xAI, DashScope, Cerebras, Ollama, Databricks, DeepSeek, vLLM), and adds prompt firewalls, PII sanitization, semantic caching, automated RAG injection, token-level observability, per-agent cost allocation, MCP traffic governance, and Agent Gateway support for agent-to-agent (A2A) communication. It is profiled here as a standalone product surface; the parent provider profile lives at github.com/api-evangelist/kong.

Kong AI Gateway is listed with 21 APIs on the APIs.io network. Tagged areas include AI Gateway, LLM, MCP, A2A, and AI Governance.

Kong AI Gateway’s developer surface includes developer portal, documentation, getting-started guide, API reference, changelog, engineering blog, CLI, and 18 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

37.0/100 thin ▬ flat Agent 4/100 human only open core · Apache-2.0 Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

21 APIs 1 MCP Servers 10 Features 5 Use Cases

AI Gateway LLM MCP A2A AI Governance Konnect Kong

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 37.0/100 · thin

Contract Quality 0.0 / 19

Developer Ergonomics 8.9 / 15

Access Clarity 6.3 / 15

Operational Transparency 3.3 / 10

Contract Governance 0.0 / 9

Discoverability 5.1 / 8

Regulatory Posture 0.8 / 15

Open Source Surface 10.0 / 10

Agent readiness — 4/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 75 points between them, because both conditional facets apply and carry 25 points together. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0

11 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Contract Governance scores 0.0 — up to +12.0 composite points
Access Clarity scores 42.1 — up to +11.6 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/kong-ai-gateway/apis.yml: open an issue on github.com/api-evangelist/kong-ai-gateway to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 2

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Agent2Agent

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

APIs 21

Individual APIs this provider publishes, each with its own machine-readable definition.

Kong AI Gateway

Kong AI Gateway is the connectivity and governance layer for AI-native applications. Built on Kong Gateway, it provides a universal LLM API across 16+ providers, semantic cachin...

AI Proxy Plugin

The AI Proxy plugin transforms and proxies requests to a configured AI provider and model, shielding client applications from provider-specific request and response shapes.

AI Proxy Advanced Plugin

The AI Proxy Advanced plugin extends AI Proxy with load balancing, weighted distribution, and fallback across multiple providers and models simultaneously.

AI Rate Limiting Advanced Plugin

Token-aware rate limiting tailored for LLM traffic, with per-consumer and per-model budgets rather than just request counts.

AI Prompt Guard Plugin

Enforces allow- and deny-lists for prompts and text completions, blocking disallowed content before it reaches the model.

AI Semantic Prompt Guard Plugin

Topic-aware variant of AI Prompt Guard that classifies prompts by meaning and blocks restricted topics regardless of phrasing.

AI PII Sanitizer Plugin

Detects and redacts personally identifiable information from prompts and responses traversing the gateway.

AI Semantic Cache Plugin

Caches LLM responses by prompt similarity so semantically equivalent requests can be served from cache, reducing latency and provider spend.

AI RAG Injector Plugin

Automates retrieval-augmented generation by injecting retrieved context into prompts at the gateway, so application code does not need to implement RAG plumbing.

AI Prompt Template Plugin

Provides reusable, fill-in-the-blank prompt templates managed at the gateway layer.

AI Prompt Decorator Plugin

Prepends or appends messages to chat history before requests reach the model.

AI Prompt Compressor Plugin

Reduces prompt token count before forwarding to the provider to lower latency and cost.

AI Azure Content Safety Plugin

Integrates Azure AI Content Safety for content moderation on prompts and responses.

AI AWS Guardrails Plugin

Integrates Amazon Bedrock Guardrails for safety enforcement on traffic passing through Kong AI Gateway.

AI GCP Model Armor Plugin

Integrates Google Cloud Model Armor for safety inspection on prompts and responses.

AI Lakera Guard Plugin

Integrates Lakera Guard for prompt-injection and jailbreak detection.

AI Semantic Response Guard Plugin

Inspects model responses by meaning and blocks responses that violate configured semantic policies.

AI Custom Guardrail Plugin

Lets operators define custom guardrail logic for prompts and responses without writing a full Kong plugin.

AI Request/Response Transformer Plugin

Uses LLMs at the gateway to transform request and response payloads (for example, reshaping JSON or translating fields) on the data path.

Kong Agent Gateway

Kong Agent Gateway is a capability of Kong AI Gateway (GA April 2026 with AI Gateway 3.14) that governs agent-to-agent (A2A) communication. It enforces agent identity verificati...

Kong MCP Registry

Kong MCP Registry (launched February 2026) is an enterprise directory inside Kong Konnect for registering, discovering, and governing MCP servers and AI-native tools. It provide...

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MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Kong Konnect MCP Server

MCP SERVER

Kong AI Gateway API pricing

Prices published by Kong AI Gateway, read 2026-10-07 from konghq.com/pricing.

Plan	Price
AI Management – Plus	From $25/month plus usage, billed monthly Includes: 1 million requests; First 1M requests included/month; 1 Developer Portal; up to 5 serverless AI gate
AI Management – Enterprise	Custom billed annually Includes: Customizable; no limits
API Management – Plus	From $25/month plus usage, billed monthly Includes: 1 million API requests; 1 API Developer Portal; 2 published APIs
API Management – Enterprise	Custom billed annually Includes: Customizable
Event Management – Enterprise	Custom billed annually Includes: 5 virtual clusters included; Unlimited events
Dedicated Cloud Gateway control plane	$500/month per control plane
Hybrid gateway control plane	$200/month per control plane
Serverless gateway control plane	$25/month per control plane

All 11 plans, limits and sources →

Rate limits

Free Tier Default: 10 requests per minute
Pro Tier Default: 120 requests per minute

Compiled by API Evangelist, not yet checked against Kong AI Gateway's documentation. Rate-limit details →

Pricing Plans 1

Published pricing tiers and plan structures.

Kong Ai Gateway Plans Pricing

11 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Kong Ai Gateway Rate Limits

2 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Kong Ai Gateway Finops

FINOPS

Features 10

Notable capabilities this provider offers.

Universal LLM API

One normalized request shape across 16+ providers (OpenAI, Anthropic, Azure AI, Bedrock, Gemini, Vertex AI, Cohere, Hugging Face, Llama, Mistral, xAI, DashScope, Cerebras, Ollam...

Prompt Firewalls and PII Sanitization

AI Prompt Guard, AI Semantic Prompt Guard, and AI PII Sanitizer block disallowed content and redact sensitive data before it hits the model.

Semantic Caching

AI Semantic Cache serves semantically similar prompts from cache to cut latency and provider spend.

Token-Aware Rate Limiting

AI Rate Limiting Advanced enforces per-consumer and per-model token budgets, not just request counts.

Automated RAG Injection

AI RAG Injector pulls retrieved context into prompts at the gateway so application code stays simple.

Multi-Provider Load Balancing

AI Proxy Advanced distributes traffic across providers with weighted distribution and fallback.

Content Safety Integrations

Built-in integrations with Azure Content Safety, AWS Bedrock Guardrails, GCP Model Armor, and Lakera Guard.

MCP Traffic Governance

Kong MCP Registry registers and governs MCP servers and tools that AI agents discover and call through the gateway.

Agent-to-Agent Governance

Kong Agent Gateway (GA April 2026 with AI Gateway 3.14) governs A2A traffic with identity, policy, and observability.

Token-Level Observability

Per-request, per-agent, and per-model token and cost telemetry surfaced into Konnect dashboards.

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Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Kong Ai Gateway Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Use Cases 5

What developers build with this provider.

Provider-Agnostic LLM Access

Give applications a stable LLM endpoint while swapping providers and models behind the gateway.

AI Cost Control

Apply token budgets, semantic caching, and prompt compression to keep LLM spend bounded.

AI Safety and Compliance

Enforce prompt firewalls, PII redaction, jailbreak detection, and content safety on every prompt and response.

Agentic Tool Governance

Govern which MCP tools agents can discover and call, and inspect agent-to-agent traffic in production.

RAG at the Edge

Inject retrieval context into prompts at the gateway without changing client code.

Integrations 5

Pre-built integrations with other platforms and tools.

OpenAI, Anthropic, Azure AI, Bedrock, Gemini, Vertex AI

Native provider integrations exposed through the AI Proxy plugin's normalized API.

Cohere, Hugging Face, Llama, Mistral, xAI, DashScope, Cerebras, Ollama, Databricks, DeepSeek, vLLM

Additional native provider targets for AI Proxy and AI Proxy Advanced.

Lakera Guard

Prompt-injection and jailbreak detection as a guardrail plugin.

Azure AI Content Safety / AWS Bedrock Guardrails / GCP Model Armor

Cloud-native content safety integrations available as Kong AI plugins.

Prometheus, Grafana, OpenTelemetry

Standard Kong Gateway observability stack carries LLM, MCP, and A2A telemetry.

Resources

Get Started 2

Portal, sign-up, and the first successful call

Portal

Portal

GettingStarted

GettingStarted

Documentation 3

Reference material describing how the API behaves

ContributionGuide

ContributionGuide

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LlmsText

LlmsText

Build 5

SDKs, sample code, and the tooling you integrate with

CodeOfConduct

CodeOfConduct

GitHubOrganization

GitHubRepository

SDKs

CLI

Access & Security 2

Authentication, authorization, and security posture

SecurityPolicy

SecurityPolicy

DomainSecurity

DomainSecurity

Operate 5

Status, limits, changes, and where to get help

RateLimits

IssueTracker

Releases

ChangeLog

Support

Commercial 4

Pricing, plans, and the legal terms of use

FinOps

Plans

License

Pricing

Company 2

The organization behind the API

Blog

Blog

LinkedIn

Source (apis.yml)

aid: kong-ai-gateway
name: Kong AI Gateway
description: Kong AI Gateway is the AI-native capability layer built on top of Kong Gateway and managed through Kong Konnect.
  It exposes a normalized, provider-agnostic LLM API across 16+ providers (OpenAI, Anthropic, Azure AI, Amazon Bedrock, Google
  Gemini, Vertex AI, Cohere, Hugging Face, Llama, Mistral, xAI, DashScope, Cerebras, Ollama, Databricks, DeepSeek, vLLM),
  and adds prompt firewalls, PII sanitization, semantic caching, automated RAG injection, token-level observability, per-agent
  cost allocation, MCP traffic governance, and Agent Gateway support for agent-to-agent (A2A) communication. It is profiled
  here as a standalone product surface; the parent provider profile lives at github.com/api-evangelist/kong.
type: Index
deliveryModel:
  model: open-core
  license: Apache-2.0
  open_source: true
  commercial: true
  callable_host: false
  label: Open core · an OSS project plus a commercial hosted product
  confidence: high
  source:
  - license
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/kong-ai-gateway.png
tags:
- AI Gateway
- LLM
- MCP
- A2A
- AI Governance
- Konnect
- Kong
url: https://raw.githubusercontent.com/api-evangelist/kong-ai-gateway/refs/heads/main/apis.yml
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.23'
apis:
- aid: kong-ai-gateway:kong-ai-gateway
  name: Kong AI Gateway
  description: Kong AI Gateway is the connectivity and governance layer for AI-native applications. Built on Kong Gateway,
    it provides a universal LLM API across 16+ providers, semantic caching, prompt firewalls and PII guardrails, automated
    RAG injection, token-level observability, MCP traffic governance, and Agent Gateway support for agent-to-agent (A2A) communication.
    Traffic flows through configurable Kong routes using the AI Proxy and AI Proxy Advanced plugins.
  humanURL: https://konghq.com/products/kong-ai-gateway
  tags:
  - AI Gateway
  - LLM
  - Plugins
  tags_raw:
  - AI Gateway
  - LLM
  - Plugin
  properties:
  - type: Documentation
    url: https://developer.konghq.com/ai-gateway/
  - type: GettingStarted
    url: https://developer.konghq.com/ai-gateway/get-started/
  - type: APIReference
    url: https://developer.konghq.com/ai-gateway/ai-providers/
  - type: ChangeLog
    url: https://developer.konghq.com/gateway/changelog/
  - type: GitHubRepository
    url: https://github.com/Kong/kong
- aid: kong-ai-gateway:ai-proxy-plugin
  name: AI Proxy Plugin
  description: The AI Proxy plugin transforms and proxies requests to a configured AI provider and model, shielding client
    applications from provider-specific request and response shapes.
  humanURL: https://developer.konghq.com/plugins/ai-proxy/
  tags:
  - Plugins
  - AI Proxy
  - LLM
  tags_raw:
  - Plugin
  - AI Proxy
  - LLM
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-proxy/
- aid: kong-ai-gateway:ai-proxy-advanced-plugin
  name: AI Proxy Advanced Plugin
  description: The AI Proxy Advanced plugin extends AI Proxy with load balancing, weighted distribution, and fallback across
    multiple providers and models simultaneously.
  humanURL: https://developer.konghq.com/plugins/ai-proxy-advanced/
  tags:
  - Plugins
  - Load Balancing
  - LLM
  tags_raw:
  - Plugin
  - Load Balancing
  - LLM
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-proxy-advanced/
- aid: kong-ai-gateway:ai-rate-limiting-advanced-plugin
  name: AI Rate Limiting Advanced Plugin
  description: Token-aware rate limiting tailored for LLM traffic, with per-consumer and per-model budgets rather than just
    request counts.
  humanURL: https://developer.konghq.com/plugins/ai-rate-limiting-advanced/
  tags:
  - Plugins
  - Rate Limiting
  - Token Budget
  tags_raw:
  - Plugin
  - Rate Limiting
  - Token Budget
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-rate-limiting-advanced/
- aid: kong-ai-gateway:ai-prompt-guard-plugin
  name: AI Prompt Guard Plugin
  description: Enforces allow- and deny-lists for prompts and text completions, blocking disallowed content before it reaches
    the model.
  humanURL: https://developer.konghq.com/plugins/ai-prompt-guard/
  tags:
  - Plugins
  - Prompt Firewall
  - Safety
  tags_raw:
  - Plugin
  - Prompt Firewall
  - Safety
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-prompt-guard/
- aid: kong-ai-gateway:ai-semantic-prompt-guard-plugin
  name: AI Semantic Prompt Guard Plugin
  description: Topic-aware variant of AI Prompt Guard that classifies prompts by meaning and blocks restricted topics regardless
    of phrasing.
  humanURL: https://developer.konghq.com/plugins/ai-semantic-prompt-guard/
  tags:
  - Plugins
  - Prompt Firewall
  - Semantic
  tags_raw:
  - Plugin
  - Prompt Firewall
  - Semantic
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-semantic-prompt-guard/
- aid: kong-ai-gateway:ai-pii-sanitizer-plugin
  name: AI PII Sanitizer Plugin
  description: Detects and redacts personally identifiable information from prompts and responses traversing the gateway.
  humanURL: https://developer.konghq.com/plugins/ai-pii-sanitizer/
  tags:
  - Plugins
  - PII
  - Privacy
  tags_raw:
  - Plugin
  - PII
  - Privacy
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-pii-sanitizer/
- aid: kong-ai-gateway:ai-semantic-cache-plugin
  name: AI Semantic Cache Plugin
  description: Caches LLM responses by prompt similarity so semantically equivalent requests can be served from cache, reducing
    latency and provider spend.
  humanURL: https://developer.konghq.com/plugins/ai-semantic-cache/
  tags:
  - Plugins
  - Caching
  - Semantic
  tags_raw:
  - Plugin
  - Caching
  - Semantic
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-semantic-cache/
- aid: kong-ai-gateway:ai-rag-injector-plugin
  name: AI RAG Injector Plugin
  description: Automates retrieval-augmented generation by injecting retrieved context into prompts at the gateway, so application
    code does not need to implement RAG plumbing.
  humanURL: https://developer.konghq.com/plugins/ai-rag-injector/
  tags:
  - Plugins
  - RAG
  - Retrieval
  tags_raw:
  - Plugin
  - RAG
  - Retrieval
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-rag-injector/
- aid: kong-ai-gateway:ai-prompt-template-plugin
  name: AI Prompt Template Plugin
  description: Provides reusable, fill-in-the-blank prompt templates managed at the gateway layer.
  humanURL: https://developer.konghq.com/plugins/ai-prompt-template/
  tags:
  - Plugins
  - Prompt Engineering
  tags_raw:
  - Plugin
  - Prompt Engineering
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-prompt-template/
- aid: kong-ai-gateway:ai-prompt-decorator-plugin
  name: AI Prompt Decorator Plugin
  description: Prepends or appends messages to chat history before requests reach the model.
  humanURL: https://developer.konghq.com/plugins/ai-prompt-decorator/
  tags:
  - Plugins
  - Prompt Engineering
  tags_raw:
  - Plugin
  - Prompt Engineering
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-prompt-decorator/
- aid: kong-ai-gateway:ai-prompt-compressor-plugin
  name: AI Prompt Compressor Plugin
  description: Reduces prompt token count before forwarding to the provider to lower latency and cost.
  humanURL: https://developer.konghq.com/plugins/ai-prompt-compressor/
  tags:
  - Plugins
  - Token Optimization
  tags_raw:
  - Plugin
  - Token Optimization
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-prompt-compressor/
- aid: kong-ai-gateway:ai-azure-content-safety-plugin
  name: AI Azure Content Safety Plugin
  description: Integrates Azure AI Content Safety for content moderation on prompts and responses.
  humanURL: https://developer.konghq.com/plugins/ai-azure-content-safety/
  tags:
  - Plugins
  - Content Safety
  - Microsoft Azure
  tags_raw:
  - Plugin
  - Content Safety
  - Azure
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-azure-content-safety/
- aid: kong-ai-gateway:ai-aws-guardrails-plugin
  name: AI AWS Guardrails Plugin
  description: Integrates Amazon Bedrock Guardrails for safety enforcement on traffic passing through Kong AI Gateway.
  humanURL: https://developer.konghq.com/plugins/ai-aws-guardrails/
  tags:
  - Plugins
  - Content Safety
  - Amazon Web Services
  tags_raw:
  - Plugin
  - Content Safety
  - AWS
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-aws-guardrails/
- aid: kong-ai-gateway:ai-gcp-model-armor-plugin
  name: AI GCP Model Armor Plugin
  description: Integrates Google Cloud Model Armor for safety inspection on prompts and responses.
  humanURL: https://developer.konghq.com/plugins/ai-gcp-model-armor/
  tags:
  - Plugins
  - Content Safety
  - GCP
  tags_raw:
  - Plugin
  - Content Safety
  - GCP
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-gcp-model-armor/
- aid: kong-ai-gateway:ai-lakera-guard-plugin
  name: AI Lakera Guard Plugin
  description: Integrates Lakera Guard for prompt-injection and jailbreak detection.
  humanURL: https://developer.konghq.com/plugins/ai-lakera-guard/
  tags:
  - Plugins
  - Prompt Injection
  - Content Safety
  tags_raw:
  - Plugin
  - Prompt Injection
  - Content Safety
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-lakera-guard/
- aid: kong-ai-gateway:ai-semantic-response-guard-plugin
  name: AI Semantic Response Guard Plugin
  description: Inspects model responses by meaning and blocks responses that violate configured semantic policies.
  humanURL: https://developer.konghq.com/plugins/ai-semantic-response-guard/
  tags:
  - Plugins
  - Response Filtering
  - Semantic
  tags_raw:
  - Plugin
  - Response Filtering
  - Semantic
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-semantic-response-guard/
- aid: kong-ai-gateway:ai-custom-guardrail-plugin
  name: AI Custom Guardrail Plugin
  description: Lets operators define custom guardrail logic for prompts and responses without writing a full Kong plugin.
  humanURL: https://developer.konghq.com/plugins/ai-custom-guardrail/
  tags:
  - Plugins
  - Guardrails
  - Customization
  tags_raw:
  - Plugin
  - Guardrails
  - Customization
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-custom-guardrail/
- aid: kong-ai-gateway:ai-request-response-transformer-plugin
  name: AI Request/Response Transformer Plugin
  description: Uses LLMs at the gateway to transform request and response payloads (for example, reshaping JSON or translating
    fields) on the data path.
  humanURL: https://developer.konghq.com/plugins/ai-request-transformer/
  tags:
  - Plugins
  - Transformation
  - LLM
  tags_raw:
  - Plugin
  - Transformation
  - LLM
  properties:
  - type: Documentation
    url: https://developer.konghq.com/plugins/ai-request-transformer/
- aid: kong-ai-gateway:kong-agent-gateway
  name: Kong Agent Gateway
  description: Kong Agent Gateway is a capability of Kong AI Gateway (GA April 2026 with AI Gateway 3.14) that governs agent-to-agent
    (A2A) communication. It enforces agent identity verification, real-time policy and prompt-injection inspection, per-agent
    cost allocation, and unified observability across LLM calls, MCP tool invocations, and A2A messages.
  humanURL: https://konghq.com/blog/product-releases/kong-agent-gateway
  tags:
  - Agent Gateway
  - A2A
  - AI Gateway
  properties:
  - type: Documentation
    url: https://developer.konghq.com/ai-gateway/
  - type: Blog
    url: https://konghq.com/blog/product-releases/kong-agent-gateway
- aid: kong-ai-gateway:kong-mcp-registry
  name: Kong MCP Registry
  description: Kong MCP Registry (launched February 2026) is an enterprise directory inside Kong Konnect for registering,
    discovering, and governing MCP servers and AI-native tools. It provides dynamic discovery for AI agents, governance gates
    on which MCP resources are approved for use, and centralized observability of tool usage, health, and failures.
  humanURL: https://konghq.com/products/mcp-registry
  tags:
  - MCP
  - Registry
  - Konnect
  - AI Agents
  tags_raw:
  - MCP
  - Registry
  - Konnect
  - Agentic AI
  properties:
  - type: Documentation
    url: https://developer.konghq.com/
  - type: Blog
    url: https://konghq.com/blog/product-releases/kong-mcp-registry-tech-preview
common:
- type: RateLimits
  url: rate-limits/kong-ai-gateway-rate-limits.yml
- type: FinOps
  url: finops/kong-ai-gateway-finops.yml
- type: Plans
  url: plans/kong-ai-gateway-plans-pricing.yml
- type: IssueTracker
  url: https://github.com/Kong/kong/issues
- type: Releases
  url: https://github.com/Kong/kong/releases
- type: SecurityPolicy
  url: https://github.com/Kong/kong/blob/master/SECURITY.md
- type: CodeOfConduct
  url: https://github.com/Kong/kong/blob/master/CODE_OF_CONDUCT.md
- type: ContributionGuide
  url: https://github.com/Kong/kong/blob/master/CONTRIBUTING.md
- type: License
  name: Apache-2.0
  url: https://github.com/Kong/kong/blob/master/LICENSE
- type: DomainSecurity
  url: security/kong-ai-gateway-domain-security.yml
- type: Portal
  url: https://konghq.com/products/kong-ai-gateway
- type: Documentation
  url: https://developer.konghq.com/ai-gateway/
- type: GettingStarted
  url: https://developer.konghq.com/ai-gateway/get-started/
- type: APIReference
  url: https://developer.konghq.com/ai-gateway/ai-providers/
- type: ChangeLog
  url: https://developer.konghq.com/gateway/changelog/
- type: Blog
  url: https://konghq.com/blog
- type: GitHubOrganization
  url: https://github.com/Kong
- type: GitHubRepository
  url: https://github.com/Kong/kong
- type: SDKs
  url: https://github.com/Kong/sdk-konnect-go
  name: Kong Konnect Go SDK
- type: CLI
  url: https://github.com/Kong/kongctl
  name: Kong Developer CLI
- type: MCPServer
  url: https://github.com/Kong/mcp-konnect
  name: Kong Konnect MCP Server
- type: Pricing
  url: https://konghq.com/pricing
- type: LinkedIn
  url: https://www.linkedin.com/company/konghq
- type: Support
  url: https://discuss.konghq.com/
- type: Features
  data:
  - name: Universal LLM API
    description: One normalized request shape across 16+ providers (OpenAI, Anthropic, Azure AI, Bedrock, Gemini, Vertex AI,
      Cohere, Hugging Face, Llama, Mistral, xAI, DashScope, Cerebras, Ollama, Databricks, DeepSeek, vLLM).
  - name: Prompt Firewalls and PII Sanitization
    description: AI Prompt Guard, AI Semantic Prompt Guard, and AI PII Sanitizer block disallowed content and redact sensitive
      data before it hits the model.
  - name: Semantic Caching
    description: AI Semantic Cache serves semantically similar prompts from cache to cut latency and provider spend.
  - name: Token-Aware Rate Limiting
    description: AI Rate Limiting Advanced enforces per-consumer and per-model token budgets, not just request counts.
  - name: Automated RAG Injection
    description: AI RAG Injector pulls retrieved context into prompts at the gateway so application code stays simple.
  - name: Multi-Provider Load Balancing
    description: AI Proxy Advanced distributes traffic across providers with weighted distribution and fallback.
  - name: Content Safety Integrations
    description: Built-in integrations with Azure Content Safety, AWS Bedrock Guardrails, GCP Model Armor, and Lakera Guard.
  - name: MCP Traffic Governance
    description: Kong MCP Registry registers and governs MCP servers and tools that AI agents discover and call through the
      gateway.
  - name: Agent-to-Agent Governance
    description: Kong Agent Gateway (GA April 2026 with AI Gateway 3.14) governs A2A traffic with identity, policy, and observability.
  - name: Token-Level Observability
    description: Per-request, per-agent, and per-model token and cost telemetry surfaced into Konnect dashboards.
- type: UseCases
  data:
  - name: Provider-Agnostic LLM Access
    description: Give applications a stable LLM endpoint while swapping providers and models behind the gateway.
  - name: AI Cost Control
    description: Apply token budgets, semantic caching, and prompt compression to keep LLM spend bounded.
  - name: AI Safety and Compliance
    description: Enforce prompt firewalls, PII redaction, jailbreak detection, and content safety on every prompt and response.
  - name: Agentic Tool Governance
    description: Govern which MCP tools agents can discover and call, and inspect agent-to-agent traffic in production.
  - name: RAG at the Edge
    description: Inject retrieval context into prompts at the gateway without changing client code.
- type: Integrations
  data:
  - name: OpenAI, Anthropic, Azure AI, Bedrock, Gemini, Vertex AI
    description: Native provider integrations exposed through the AI Proxy plugin's normalized API.
  - name: Cohere, Hugging Face, Llama, Mistral, xAI, DashScope, Cerebras, Ollama, Databricks, DeepSeek, vLLM
    description: Additional native provider targets for AI Proxy and AI Proxy Advanced.
  - name: Lakera Guard
    description: Prompt-injection and jailbreak detection as a guardrail plugin.
  - name: Azure AI Content Safety / AWS Bedrock Guardrails / GCP Model Armor
    description: Cloud-native content safety integrations available as Kong AI plugins.
  - name: Prometheus, Grafana, OpenTelemetry
    description: Standard Kong Gateway observability stack carries LLM, MCP, and A2A telemetry.
- type: LlmsText
  url: https://developer.konghq.com/llms.txt
maintainers:
- FN: Kin Lane
  url: http://apievangelist.com
  email: kin@apievangelist.com
x-parent: kong
x-relationship: product

Kong AI Gateway API — frequently asked questions

Does Kong AI Gateway have an API?

Yes. APIs.io lists 21 APIs from Kong AI Gateway, including Kong AI Gateway, AI Proxy Plugin and AI Proxy Advanced Plugin, and 18 more.

How much does the Kong AI Gateway API cost?

Kong AI Gateway publishes its prices; its AI Management – Plus plan is From $25/month plus usage, billed monthly as of 2026-10-07. APIs.io lists 11 pricing plans for Kong AI Gateway, with each plan's price, limits and inclusions under Pricing on this page.

Does Kong AI Gateway have an MCP server?

Yes. APIs.io lists 1 MCP server for Kong AI Gateway.

Is the Kong AI Gateway API ready for AI agents?

Kong AI Gateway has a Kin Score of 37.0 out of 100 (thin) and an Agent Readiness score of 3.7 (human-only), scored by API Evangelist on 2026-11-06.

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