AsyncAPI is a machine-readable specification, inspired by the OpenAPI Specification (OAS), designed to define asynchronous APIs and event-driven architectures. It provides a standardized format to describe message formats (using JSON Schema), communication channels, operations (publish/subscribe), and server configurations. This allows tools to automatically generate documentation, client code, server stubs, and perform validation, similar to how OpenAPI works for RESTful APIs.
Glossary
AsyncAPI

What is AsyncAPI?
AsyncAPI is an open-source specification for describing asynchronous, event-driven APIs, enabling machine-readable documentation and code generation for systems using message brokers like Kafka, MQTT, or WebSockets.
The specification is foundational for API schema integration within AI agent systems, enabling dynamic invocation of event-based services. By ingesting an AsyncAPI document, an AI agent can understand available message brokers, the structure of events it can consume or produce, and the necessary authentication. This facilitates secure, structured interaction with real-time data streams and backend systems as part of tool calling and API execution workflows, ensuring agents operate within a well-defined contract.
Core Components of an AsyncAPI Document
An AsyncAPI document is a machine-readable specification that defines an asynchronous, event-driven API. It is structured as a single JSON or YAML object containing several required and optional sections.
Info Object
The Info Object provides metadata about the API. This is the root-level info field and contains essential identification details.
- title: A human-readable title for the application/API.
- version: The version of the AsyncAPI document (not the API implementation).
- description: A rich text description of the API.
- contact and license: Optional objects for maintainer and usage rights information.
This section is analogous to the info object in an OpenAPI document and is crucial for documentation and tooling.
Servers Object
The Servers Object defines the network locations where the application's channels are hosted. It is a map of server definitions under the servers field.
Each server definition includes:
- url: The network address (e.g.,
mqtt://broker.example.com:1883,kafka://cluster.prod:9092). - protocol: The communication protocol (e.g.,
mqtt,kafka,amqp,ws). - description: A human-readable explanation.
- variables: For parameterized server URLs.
- security: An array of required security schemes.
Servers provide the runtime connection context for channels.
Channels Object
The Channels Object is the core of the specification, describing the available event pathways. It is a map under the channels field where each key is a channel name, often representing a topic, queue, or event name.
A channel item defines:
- address: A runtime expression for the full channel path (often derived from the key).
- description: Explains the channel's purpose.
- publish and/or subscribe Operation Objects: Describe the messages that can be sent or received on this channel.
- parameters: For channels with variable path segments (e.g.,
user/{userId}/events).
Channels abstract the specific messaging infrastructure.
Operations Object
An Operations Object defines an action that can be taken on a channel, specified within a channel's publish or subscribe field. It describes the intent and characteristics of message flow.
Key fields include:
- operationId: A unique string used to identify the operation in code generation.
- message: A reference to or definition of the Message Object sent or received.
- summary and description: Human-readable details.
- security: Security requirements specific to this operation.
- traits: For applying reusable operation patterns.
The publish operation sends a message to the channel; subscribe receives from it.
Messages Object
The Messages Object defines the format and semantics of a discrete piece of data communicated via a channel. It can be defined inline within an operation or referenced from the top-level components.messages section.
A message definition includes:
- payload: A JSON Schema object defining the structure of the message body.
- headers: A schema for protocol-specific headers or metadata.
- correlationId: Describes an identifier for tracing message causality.
- contentType: The MIME type of the payload (e.g.,
application/json,avro/binary). - name and title: For identification.
Messages ensure producers and consumers agree on data contracts.
Components Object
The Components Object is a container for reusable schema elements, located at components. It promotes modularity and reduces duplication within the AsyncAPI document.
Common reusable component sections include:
- schemas: Reusable data models defined with JSON Schema.
- messages: Reusable message definitions.
- securitySchemes: Authentication and authorization definitions (e.g.,
userPassword,X509,httpApiKey). - parameters: Reusable channel parameters.
- correlationIds: Reusable correlation ID objects.
- operationTraits and messageTraits: Reusable sets of operation or message properties.
Objects within components are referenced using the $ref keyword.
AsyncAPI vs. OpenAPI: Key Differences
A technical comparison of the two primary machine-readable API specification standards, highlighting their distinct design goals and application domains.
| Feature / Aspect | AsyncAPI | OpenAPI (Swagger) |
|---|---|---|
Primary Communication Paradigm | Asynchronous, Event-Driven | Synchronous, Request-Response |
Core Abstraction | Messages & Channels | Operations & Paths |
Transport Protocol Support | Kafka, MQTT, AMQP, WebSockets, STOMP, NATS, JMS, SNS, SQS | HTTP/HTTPS, HTTP/2 |
Primary Document Structure |
|
|
Message Payload Definition | Via | Via |
Server & Broker Configuration | Explicit |
|
Security Schemes | Supported (user/password, API key, OAuth2, etc.) for broker/client auth | Supported (API key, OAuth2, HTTP auth, etc.) for endpoint auth |
Code Generation & Tooling | Client/Server SDKs, documentation, mock servers for async patterns | Client/Server SDKs, documentation, mock servers for REST APIs |
Inherent State Management | Implied via message sequencing and correlation IDs | Stateless; state managed via session tokens or client context |
Common Use Case | Microservices communication, IoT data streams, real-time notifications, event sourcing | CRUD web services, external developer APIs, server-to-server integration |
Schema Reference Standard | JSON Schema (Draft 07, 2020-12) | JSON Schema (subset, typically Draft 04/2020-12) |
Binding Specifications | Protocol-specific | N/A (HTTP semantics are inherent) |
Frequently Asked Questions
AsyncAPI is an open-source specification for describing asynchronous, event-driven APIs. This FAQ addresses common questions about its purpose, mechanics, and role in AI agent integration.
AsyncAPI is an open-source specification, inspired by OpenAPI, that provides a machine-readable format for describing asynchronous, event-driven APIs. It works by defining a standard YAML or JSON document that specifies the message formats, communication channels, and operations (publish/subscribe) of an API that uses protocols like Kafka, MQTT, AMQP, or WebSockets. For an AI agent, ingesting an AsyncAPI document allows it to understand what events it can consume, what data those events contain, and where to send messages, enabling dynamic interaction with event-driven microservices and IoT systems.
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Related Terms
AsyncAPI exists within a broader ecosystem of specifications and tools for describing, validating, and integrating APIs. These related concepts are essential for building robust, machine-readable interfaces for AI agents and event-driven systems.
Event-Driven Architecture (EDA)
Event-Driven Architecture (EDA) is a software design paradigm where system components communicate by producing and consuming events. AsyncAPI is the specification standard for formally describing the APIs within an EDA.
- Core Principles: Decoupling, asynchronous communication, and reactivity. Components are notified of state changes (events) rather than being called directly.
- AsyncAPI's Role: Provides the contract for the event mesh, detailing the available event
channels, message formats, and the protocols used (e.g., Kafka, MQTT, WebSockets). - AI Agent Role: Agents act as event producers or consumers, using the AsyncAPI document as a map to participate in the EDA.

About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
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