Inferensys

Glossary

Plugin Manifest

A plugin manifest is a structured metadata file, typically in JSON or YAML format, that declares a plugin's identity, capabilities, dependencies, and configuration schema to a host system or AI agent framework.
Developer demonstrating multi-agent tool use, agent tool selection interface on laptop, casual tech demo moment.
PLUGIN ARCHITECTURES

What is a Plugin Manifest?

A plugin manifest is a declarative metadata file that defines a plugin's identity, capabilities, and requirements to its host system.

A Plugin Manifest is a metadata file, typically in JSON or YAML format, that declares a plugin's identity, capabilities, dependencies, and configuration schema to a host system. It acts as a formal API contract and deployment descriptor, enabling the host to discover, validate, and safely integrate the plugin without executing its core logic. The manifest defines essential attributes like a unique identifier, version using Semantic Versioning (SemVer), required permissions, and entry points.

Within an orchestration layer, the manifest allows for secure tool discovery and registration, ensuring plugins comply with the host's security model and capability model. It enables features like dependency injection, lazy loading, and the construction of a plugin dependency graph for correct initialization order. This declarative approach is foundational to extensible systems, providing the host with the information needed to manage the plugin lifecycle and enforce backwards compatibility and graceful degradation policies.

PLUGIN ARCHITECTURES

Key Components of a Plugin Manifest

A plugin manifest is a structured metadata file that acts as a contract between a plugin and its host system. It defines the plugin's identity, capabilities, and operational requirements.

01

Identity and Metadata

The foundational section that uniquely identifies the plugin and provides human-readable information.

  • name: A unique, machine-readable identifier (e.g., company.awesome-tool).
  • version: A version string, ideally following Semantic Versioning (SemVer) (e.g., 1.2.3).
  • displayName: A human-friendly name for UI presentation.
  • description: A concise summary of the plugin's purpose and functionality.
  • author: The individual or organization responsible for the plugin.
  • license: The software license under which the plugin is distributed (e.g., MIT, Apache-2.0).
02

Capability Declaration (Tools/Extensions)

The core of the manifest, detailing the specific functionalities the plugin provides to the host system.

  • tools or extensions: An array defining executable functions or integration points.
  • Each tool includes:
    • name: The function's identifier.
    • description: What the tool does, used by the AI for tool discovery.
    • parameters: A schema (often JSON Schema) defining required and optional inputs.
    • returns: A schema defining the expected output structure.
  • This section forms the API contract that the host's orchestration layer uses to validate and route requests.
03

Configuration Schema

Defines how the plugin can be customized by an end-user or administrator at runtime.

  • configurationSchema: A schema (e.g., JSON Schema) that describes valid configuration options.
  • This allows the host system to generate configuration UIs and validate settings before plugin initialization.
  • Example properties include API endpoints, feature toggles, or connection timeouts.
  • This enables dependency injection (DI) of settings by the host, adhering to the Inversion of Control (IoC) principle.
04

Dependencies and Host Requirements

Specifies the environment and other components the plugin needs to function correctly.

  • hostVersion: The minimum (or compatible) version of the host application or framework.
  • dependencies: A list of other plugins or libraries this plugin requires.
  • capabilities: A declaration of system-level permissions or features needed (e.g., network_access, file_system_write), forming part of a capability model for security.
  • The host uses this to build a plugin dependency graph for correct loading order and conflict resolution.
05

Lifecycle Hooks

Defines entry points for the host to manage the plugin's plugin lifecycle.

  • initialize: A function called when the plugin is loaded. Often receives configuration.
  • onActivate / onDeactivate: Functions called when the plugin is enabled or disabled.
  • healthCheck: An optional endpoint or function for the host to perform plugin health checks.
  • cleanup: A function called before the plugin is unloaded to release resources.
  • These hooks give the host framework control over plugin state, enabling features like hot reloading.
06

Security and Permissions

Critical for enterprise and agentic systems, this section outlines security constraints and data handling.

  • permissions: An explicit list of actions the plugin is allowed to perform, scrutinized during agentic threat modeling.
  • authentication: Declares required API authentication flows (e.g., OAuth scopes, API key headers).
  • dataAccess: Describes the categories of data the plugin will read or write.
  • sandboxed: A boolean indicating if the plugin requires sandboxing or secure enclave execution.
  • This information is used by zero-trust API gateways and permission systems to enforce access control.
PLUGIN MANIFEST

Frequently Asked Questions

A plugin manifest is a metadata file that declares a plugin's identity, capabilities, and configuration to a host system. These questions address its core purpose, structure, and role in secure AI tool-calling architectures.

A plugin manifest is a declarative metadata file, typically in JSON or YAML format, that describes a plugin's identity, capabilities, dependencies, and configuration schema to a host system. Its primary purpose is to enable dynamic discovery and secure integration by providing the host with all necessary information to load, validate, and execute the plugin without inspecting its source code. The manifest acts as a formal API contract between the plugin and the host, defining the available tools or extension points, required permissions, and version compatibility. This allows AI agents and orchestration layers to safely understand what external functions a plugin can perform before invoking them.

Prasad Kumkar

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.