Dev tools · alternatives · 2026
24 alternatives to Resonance - API rate limiter
Rate limit LLMs/any API calls, avoiding surprises on bills
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Resonance - API rate limiter launched in 2024; newer entries below may have overtaken it.
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Hey HN, we've just finished building a dynamic router for LLMs, which takes each prompt and sends it to the most appropriate model and provider. We'd love to know what you think! Here is a quick(ish) screen-recroding explaining how it works: https://youtu.be/ZpY6SIkBosE Best results when training a custom router on your own prompt data: https://youtu.be/9JYqNbIEac0 The router balances user preferences for quality, speed and cost. The end result is higher quality and faster LLM responses at lower cost. The quality for each candidate LLM is predicted ahead of time…
2024 · unify.ai · its alternatives →
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LLMTest▲125Use the right LLMs in your apps. Setup fallbacks. Be happy.
May 2026 · llmtest.io · its alternatives →
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MakeHub.ai▲118LLM Provider arbitrage to get the best performance for the $
2025 · makehub.ai · its alternatives →
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Bucket4J▲77Rate-limiting based on token bucket algorithm for Java
2021 · github.com · its alternatives →
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Prompt instructions like 'never do X' don't hold up in production. LLMs ignore them when context gets long or users push hard. Limits sits between your agent and the real world. Every action — database writes, API calls, refunds — gets intercepted and checked against your rules before it executes. Deterministically. No LLM involved in enforcement. Three modes: Conditions: hard rules on structured data Guideance: validate LLM output before it reaches the user and give the agent chance to reason and retry Guardrails: scan for PII, toxicity, prompt injection etc One line to integrate: npm…
Feb 2026 · limits.dev · its alternatives →
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Tokenlimits▲64Check if your input satisfies the token limit of an AI model
2023 · tokenlimits.com · its alternatives →
- 11Awan LLM▲95
Cost effective LLM inference API for startups & developers
2024 · awanllm.com · its alternatives →
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Hi! I've found myself repeatedly writing little scripts to do bulk calls to LLMs for various tasks. For example, run some analysis on a large list of records. There are a few "gotchas" to doing this. For example, some service providers have rate limits, and some models will not reliably return JSON (if you're asking for it). So, I've written a command for this. What I've tried to do here is let the user break up prompts and configuration as they see fit. For example, you can have a prompt file which includes the API key, rate limit, settings, etc. all together, or break these up into…
2025 · github.com · its alternatives →
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LLM API▲7Access all AI models you need through a single, reliable API
2025 · llmapi.in · its alternatives →
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Promptly▲13An AI Cost Optimization Infrastructure for LLM Applications
Mar 2026 · getpromptly.in · its alternatives →
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simple daemon for rate limit. Contribute to limitd/limitd development by creating an account on GitHub.
2015 · github.com · its alternatives →
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Hi HN! Stefan here from superglue and today I’d like to share a new benchmark we’ve just open sourced: an Agent-API Benchmark, in which we test how well LLMs handle APIs. We gave LLMs API documentation and asked them to write code that makes actual API calls. Things like "create a Stripe customer" or "send a Slack message". We're not testing if they can use SDKs; we're testing if they can write raw HTTP requests (with proper auth, headers, body formatting) that actually work when executed against real API endpoints and can extract relevant information from that response. tl:dr: LLMs suck at…
2025 · github.com · its alternatives →
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Avoid 429 error by limiting requests made per time frame
2023 · ratelimit.org · its alternatives →
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Hi HN, I was once given the advice: Don't waste expensive frontier model credits (GPT/Claude/etc.) on bulk work. Send the boring, repetitive, high-volume jobs to a smaller model, and save the expensive prompts for when you actually need frontier-level reasoning. I complained and told my manager that I shouldnt have to think about using certain models for certain coding tasks, and that one model should handle everything. Well, here we are anyway. If anyone needs a place to absolutely abuse an LLM with high-volume tasks, come beat ours up at https://yolo-auto.com. Here are…
Jul 2026 · yolo-auto.com · its alternatives →
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AI without limits. Unlimited tokens. Unlimited context. Predictable intelligence capacity without metering every token. Private by design. Production SLAs.
Jul 2026 · liquidbrain.ai · its alternatives →
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The most reliable, cost-effective uncensored LLMs API
2024 · novita.ai · its alternatives →
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Hi HN! I built a distributed rate limiter using the token bucket algorithm with Redis backing. Key highlights: • 50,000+ requests/second throughput with <2ms P95 latency • Redis-backed distributed state for multi-instance deployments • 18 REST API endpoints for rate limiting, config, and monitoring • 265+ tests including load tests and integration tests • Docker/Kubernetes ready with comprehensive documentation Built with Java 21 + Spring Boot. Perfect for protecting APIs, microservices, or SaaS platforms from abuse. The pain point I solved: existing solutions were either too…
2025 · github.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →