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AI · June 30, 2026

modelchain

Cost-aware LLM router with streaming and tool calls

modelchain launched on June 30, 2026 with 4 votes, #3,322 of 22,647 launches that month and more than 75% of that year's launches.

What it does

Drop-in, zero-dependency LLM router that routes prompts across OpenAI, Anthropic, Gemini and any HTTP endpoint by cost, latency and observed quality.

You hold keys for OpenAI, Anthropic, and Gemini. Which one should answer this request? The cheapest that clears your quality bar? The fastest? The one that has not started failing yet? modelchain declares a pool of models, picks the best one per request by cost, latency, and observed quality, streams the tokens, normalises tool calls, scores the answer, and feeds that score into the next decision. You give modelchain a list of models for one or more providers (OpenAI, Anthropic, Gemini, or any OpenAI-compatible HTTP endpoint), each with its cost and a key resolver. It hands each request to the model your strategy selects, retries with backoff on a transient failure, fails over to the next…from davccavalcante.github.io

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