bolt.diy
bolt.diy is an open-source platform that enables developers to easily create, run, edit, and deploy full-stack web applications with a variety of large language models (LLMs). It supports a wide range of models, including OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, and Groq. The platform offers seamless integration through the Vercel AI SDK, allowing users to customize and extend their applications with the LLMs of their choice. With its intuitive interface, bolt.diy is designed to simplify AI development workflows, making it a great tool for both experimentation and production-ready applications.
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OpenRouter
OpenRouter is a unified interface for LLMs. OpenRouter scouts for the lowest prices and best latencies/throughputs across dozens of providers, and lets you choose how to prioritize them. No need to change your code when switching between models or providers. You can even let users choose and pay for their own. Evals are flawed; instead, compare models by how often they're used for different purposes. Chat with multiple at once in the chatroom. Model usage can be paid by users, developers, or both, and may shift in availability. You can also fetch models, prices, and limits via API. OpenRouter routes requests to the best available providers for your model, given your preferences. By default, requests are load-balanced across the top providers to maximize uptime, but you can customize how this works using the provider object in the request body. Prioritize providers that have not seen significant outages in the last 10 seconds.
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LLMetrics
LLMetrics is LLM cost tracking software for teams shipping AI products, bringing model spend, token usage, feature attribution, and usage alerts into one live dashboard. It supports more than 100 models across OpenAI, Anthropic, Google Gemini, Mistral, Cohere, Together AI, Groq, and other providers, with pricing data synchronized daily. Teams tag each model call with a feature name, provider, model, input tokens, and output tokens, allowing them to see exactly whether a chatbot, summarizer, search feature, lesson generator, or other workflow is driving spend. Real-time updates and daily trend charts reveal how costs change after releases, prompt edits, traffic growth, or model swaps. Spend thresholds and spike-detection rules can alert teams through email or Slack when usage patterns look wrong, helping them catch runaway loops and unexpected cost increases before the provider invoice arrives.
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Tokonomics
Tokonomics is an AI cost metering proxy that sits between your app and any LLM provider. One URL change gives you real-time cost tracking, budget alerts, and hard spending caps across OpenAI, Anthropic, DeepSeek, Google Gemini, Mistral, Groq, and more.
How it works: Replace your LLM base URL with Tokonomics, keep your existing code. Every API call is logged with token counts, cost (8-decimal USD precision), latency, and custom tags for per-team or per-feature attribution.
Key features:
- Budget alerts via email, Slack, or Teams at configurable thresholds
- Hard spending caps that block requests when monthly budget is exceeded
- Analytics dashboard with spend-by-model, daily trends, and cost optimization reports
- BYOK (Bring Your Own Keys) with AES-256 encryption
- Rate limiting per API key
- Works with any language or HTTP client (PHP, Python, Node.js, Go, Ruby)
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