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Documentation Index

Fetch the complete documentation index at: https://docs.praison.ai/llms.txt

Use this file to discover all available pages before exploring further.

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Router Agent CLI Commands

The praisonai-ts CLI provides the router command for request routing analysis.

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Analyze Routing

# Analyze input and suggest routing
praisonai-ts router analyze "Help me debug this code"

# Get JSON output
praisonai-ts router analyze "What is 2+2?" --json
Example Output: 
{
  "success": true,
  "data": {
    "input": "Help me debug this code",
    "selectedRoute": "code",
    "confidence": 0.95,
    "matchedRoutes": ["code", "question", "general"]
  }
}

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Route Categories

The router analyzes input and suggests appropriate routing:
RouteTriggers
codecode, debug, function, programming
mathcalculate, math, equation
researchresearch, find, search
creativewrite, create, generate
questionwhat, how, why, explain
greetinghello, hi, hey
generalDefault fallback

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SDK Usage

For programmatic routing: 
import { RouterAgent, Agent } from 'praisonai';

const codeAgent = new Agent({ name: 'CodeExpert', instructions: '...' });
const mathAgent = new Agent({ name: 'MathExpert', instructions: '...' });

const router = new RouterAgent({
  routes: [
    { agent: codeAgent, condition: (input) => /code|debug/i.test(input) },
    { agent: mathAgent, condition: (input) => /math|calculate/i.test(input) }
  ]
});

const result = await router.route('Help me debug this');
For more details, see the Router Agent SDK documentation.