@cooky_dance: Holy cow! I connected Muse to 4 model channels using pi agent, seamless switching, and didn't spend a single penny!!! C…
Summary
作者分享了用 pi agent 通过 models.json 配置四个免费/低成本模型渠道（OpenRouter、百度灵积、阿里云 MaaS、opencode-go）的零成本 AI 编程方案，并给出了避免被静默回退到付费模型的配置踩坑经验，全文以推文串形式展开。
View Cached Full Text
Cached at: 10/10/26, 04:41 AM
Holy cow! I connected Muse to 4 model channels using pi agent, seamless switching, and didn’t spend a single penny!!!
Channel list 👇 ① OpenRouter: Free models, automatically scans the list every morning at 8 AM ② Ant Baidu Ling: Official API, Ling-3.1-flash free for two weeks ③ Ant Digital Tech: MaaS channel ④ opencode-go: Subscribe and use directly
Defining channels only requires changing one file: ~/.pi/agent/models.json, write provider id + baseUrl + api + key (reference via environment variables, don’t hardcode)
Hard-earned lesson: defaultModel must write the bare model ID, defaultProvider on a separate line! Writing it as “provider/id” will be silently ignored by pi, falling back to paid models and then 402, I’ve been burned by this
The same pi setup can also schedule image generation: ModelScope Qwen-Image-2.1 async output, 98 keyframes stitched into 148-second 1080p MV. Comment below with 1 if you want the full tutorial
1/ Zero-cost way to set up 4-channel AI coding agent: OpenRouter free models updated daily, all personally tested and working, note: Recharge $5, daily calls increase to 1000 times 2/ Step 1: npm one command to install pi agent 3/ Step 2: models.json defines channels. OpenRouter uses free, Baidu Ling/Digital Tech uses official API, opencode uses subscription, all keys referenced via environment variables 4/ Step 3: Scheduled task scans OpenRouter free list every morning at 8 AM, auto-notify for additions/removals, only enable models verified for both “chat + tool calling” 5/ Step 4: /model or Ctrl+P for seamless switching, –model for single calls. Bookmark this, follow the setup and done in 10 minutes Preview webpage:
muse用自带的工具做的完整mv， 只用了一次提示 预览网页地址：…https://manatsu-mv-v1.deploy-preview.workers.dev
Similar Articles
@Lonely__MH: All rise! Muse - Token Perpetual Motion Machine is born! You'll probably never use it up in your lifetime Steps ultra-s…
用户分享了一个借助 Muse 与 pi agent 动态接入 OpenRouter 免费模型的技能（min-skill/FreeToken-Bots），实现免费额度的持续利用。
@kfk_ai: Poor Man's Agent Setup - Main model: deepseek-v4-flash (1M context), use SenseTime's free quota, register multiple keys, then bundle them with 9router to avoid rate limiting. Vision model: Qwen3-VL-30B-A3B-Thinking, SiliconFlow…
A user shares a configuration plan for building an Agent using a combination of multiple free or low-cost AI models, including modules for main model, vision, image generation, video, and voice.
@geekbb: Nice, nice. Using this project to combine free models from major tech companies and pool their quotas together. Don't underestimate the free quotas from these 16 LLM providers (totaling about 1.7 billion tokens per month). If used well, it can save a lot. I'll find time to tinker with it. https://github.com/ta…
Introduces an open-source project that aggregates free quotas (totaling about 1.7 billion tokens per month) from 16 LLM providers for unified usage, and mentions Google AI Studio's free API tier, aiming to help developers save costs.
@yibie: https://x.com/yibie/status/2102913925843161297
This article provides a detailed guide on using the Jev AI model cost-effectively through batch queries and its stateful billing mechanism, with specific configurations and code examples.
@GitTrend0x: AI gateway at its peak! One endpoint connects 268+ providers, 500+ models, directly usable with Cursor/Claude Code. Most annoying issues when using AI coding: • Too many models, switching is a hassle • Free credits scattered, often hitting limits • Token consumption too high, costs…
OmniRoute is a free, open-source AI gateway that unifies access to 268+ providers and 500+ models through a single local endpoint, featuring smart routing, token compression, and free tier aggregation to reduce costs and complexity for developers.