packages/docs/plugins/decision-guide.md
elizaOS provides multiple ways to extend agent behavior. This guide helps you pick the right one.
"I want my agent to DO something when asked" → Action
"I want to inject context into every response" → Provider
"I need a background process running" → Service
"I want to add knowledge/instructions without code" → Skill
"I need an HTTP endpoint" → Route
"I want to react to system events" → Event Handler
"I want to assess response quality" → Evaluator
| Feature | Action | Provider | Service | Skill | Route |
|---|---|---|---|---|---|
| Triggered by | User message (LLM selects) | Every inference cycle | Plugin init | User message (LLM selects) | HTTP request |
| Returns | ActionResult | Context string | -- | Agent response | HTTP response |
| Has lifecycle | No | No | Yes (start/stop) | No | No |
| Needs TypeScript | Yes | Yes | Yes | No (markdown) | Yes |
| Hot-reloadable | Rebuild + restart | Rebuild + restart | Rebuild + restart | Edit markdown + restart | Rebuild + restart |
| Runs in background | No | No | Yes | No | No |
Use when the agent should perform a task in response to user input. The LLM selects actions from registered options based on description and examples.
import type { Action } from '@elizaos/core';
const sendEmailAction: Action = {
name: 'SEND_EMAIL',
description: 'Send an email to a specified recipient',
similes: ['EMAIL', 'MAIL', 'MESSAGE'],
validate: async (runtime, message) => {
return !!runtime.getSetting('SMTP_HOST');
},
handler: async (runtime, message, state) => {
// Parse recipient and body from message, send email
return { success: true, text: 'Email sent!' };
},
};
Good for: API calls, data mutations, tool use, file operations, external service integration
Use when you need to inject information into the agent's context before every response. Providers run automatically on each inference cycle.
import type { Provider } from '@elizaos/core';
const timeProvider: Provider = {
name: 'current-time',
description: 'Provides current date and time',
position: -10,
get: async (runtime, message) => ({
text: `Current time: ${new Date().toISOString()}`,
}),
};
Good for: Real-time data, user preferences, system status, database lookups, environment context
Use when you need a long-running background process with startup and shutdown lifecycle.
import { defineService } from '@elizaos/core';
const webhookService = defineService({
serviceType: 'webhook-listener',
description: 'Listens for incoming webhooks',
start: async (runtime) => {
// Start HTTP listener, WebSocket connection, etc.
},
stop: async () => {
// Clean up connections and resources
},
});
Good for: WebSocket connections, polling, cron jobs, queue consumers, cache management
Use when you want to extend agent behavior with instructions rather than executable code. Skills are markdown-based and don't require TypeScript.
---
name: git-helper
description: Help users with git commands and workflows
---
When asked about git, provide clear explanations and commands.
Always suggest safe operations first (status, log, diff before reset, force-push).
Good for: Domain knowledge, workflows, instruction sets, prompt engineering, task procedures
Use when you need to expose HTTP endpoints from your plugin.
import type { Route } from '@elizaos/core';
const healthRoute: Route = {
type: 'GET',
path: '/my-plugin/health',
public: true,
handler: async (req, res) => {
res.json({ status: 'ok', uptime: process.uptime() });
},
};
Good for: Webhooks, status pages, plugin APIs, file serving, external integrations
Use when you need to react to system events (messages, connections, actions).
import type { Plugin } from '@elizaos/core';
const analyticsPlugin: Plugin = {
name: 'analytics',
events: {
MESSAGE_RECEIVED: [
async (payload) => {
const { runtime, message, source } = payload;
// Log message analytics
},
],
ACTION_STARTED: [
async (payload) => {
// Track action usage
},
],
},
};
Available events: MESSAGE_RECEIVED, VOICE_MESSAGE_RECEIVED, WORLD_CONNECTED, WORLD_JOINED, ACTION_STARTED, ACTION_COMPLETED
Good for: Logging, analytics, side effects, notifications, audit trails
Use when you need to assess response quality or trigger follow-up actions after the agent responds.
import type { Evaluator } from '@elizaos/core';
const sentimentEvaluator: Evaluator = {
name: 'sentiment-check',
description: 'Assess sentiment of agent responses',
alwaysRun: true,
validate: async (runtime, message) => true,
handler: async (runtime, message) => {
// Analyze response sentiment, log metrics, trigger alerts
},
};
Good for: Quality monitoring, compliance checks, learning signals, post-response side effects
Many plugins use multiple extension points together:
| Plugin Type | Typical Combination |
|---|---|
| API Integration | Action (API calls) + Provider (status context) + Service (token refresh) |
| Platform Connector | Service (connection lifecycle) + Event Handler (messages) + Route (webhooks) |
| Monitoring | Evaluator (quality checks) + Provider (metrics context) + Route (dashboard) |
| Knowledge | Provider (context injection) + Skill (instructions) |