What is Agihalo?

Agihalo LLM Router for Agent connects AI agents to multiple LLMs and routing logic to enable decentralized, always-on agent workflows. It supports x402 payment rails and USDC micro-payments so agents can monitor balances and recharge credits autonomously.

A unified SDK and single-baseURL migration minimize integration effort for developer teams and SaaS platforms. Unlimited API key issuance enables per-agent cost tracking, rate limiting, and granular governance. Real-time usage analytics and call-type breakdowns provide visibility into call volume, cost, and resource allocation.

Autonomous payment handling automates payment requests, retries, and expense categorization to maintain agent uptime. Compatible with Gemini models and other LLMs, and integrates with CI/CD, CRM, and workflow systems. Designed for developers, AI product managers, and enterprises managing multi-agent systems and LLM expenses.

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Agihalo's key features

LLM router for AI agents (multi-model routing to Gemini and other models)
Unified SDK with single-baseURL migration to integrate agent capabilities and x402 payment logic
x402 rail integration for real-time micro-payments in USDC
Autonomous payment/recharging flow (agents monitor balances and perform request/pay/retry via the 402 protocol)
API management with unlimited API keys, per-agent cost limits, and real-time usage analytics

Agihalo use cases

Route a multi-agent customer support and sales system using Agihalo LLM Router to orchestrate the optimal LLM per query, enforce per-agent API keys and per-agent cost tracking, automatically bill customers with autonomous USDC micro-payments and sync interactions into your CRM for accurate invoicing and SLA reporting
Implement autonomous background agents for paid tasks (content generation, lead enrichment, data labeling) using Agihalo's unified SDK to call multiple LLMs, run real-time usage analytics and per-agent cost attribution, and integrate with CI/CD to continuously deploy and update agent logic
Run cost-aware model orchestration and experimentation using Agihalo to A/B route requests to specialized LLMs, track micro-payment billing and per-agent spend in real time, and feed analytics into finance and operations to optimize model selection and reduce overall run costs