🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
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Updated
Feb 21, 2026 - TypeScript
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
Nadir is a Python package designed to dynamically choose the best llm for your prompt by balancing complexity and cost and response time.
An LLM Cost Calculator for all the major services
🚀 Run OpenClaw in Docker for secure, isolated environments with persistent storage. Easily configure it with your API key and get started quickly.
Just like synapses optimize neural transmission with precise weights, Synapse TOON optimizes your API payloads with precision encoding. 30-60% fewer tokens, neural-grade efficiency.
Static cost analysis for LLM workloads. Catch budget overruns before they hit production — like Infracost, but for AI. Offline-first, single binary.
Monitor and control OpenClaw token usage & costs. Daily budgets, auto-model-downgrade, usage tracking. Stop burning money while you sleep.
Cut your AI coding agent costs by 60%. Battle-tested efficiency skills for Claude Code, Cursor, and any AI coding agent.
Just-In-Time (JIT) Speculative Decoding across LLMs
Token cost is a design problem, not a billing problem. Most LLM cost overruns come from architectural waste, not model pricing. This tool is a token waste profiler that helps you understand where your tokens are going and which ones are useless.
Token Price Estimation for LLMs
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