AI & LLMs
GPT_API_free · Project Dossier
LLM application in AI & LLMs: 未标注, MIT, GitHub stars 45.3k
About this listing
- Role: LLM application for developers and small teams building AI prototypes
- Stack: 未标注; difficulty medium
- License: MIT (permissive)
- Source: GitHub · fetched 2026-11-02
- Activity: pushed within 3 days
Problem: provides ready-made model access, prompt orchestration or retrieval layers, focused on API and Claude. Audience: developers and small teams building AI prototypes. Stack & setup: 未标注, configure the endpoint and key, and watch token cost, rate limits and data-residency rules, difficulty medium. Difference: it currently appears in only one source (GitHub), so cross-checking is advisable. Risk: permissive terms still require preserving copyright and license notices, and trademark/patent clauses may apply.
A licensed delivery file is generated after payment and downloadable from the delivery page.
Public fact metadata
| License | MIT |
|---|---|
| Primary language | unknown (not verified) |
| Platform / topics | GitHub · api · chatgpt · claude |
| GitHub stars | 45.4k |
| Last push | 2026-10-30 |
| Source | https://github.com/chatanywhere/GPT_API_free |
| Homepage | https://api.chatanywhere.tech |
| Docs | https://github.com/chatanywhere/GPT_API_free#readme |
| Demo | https://api.chatanywhere.tech |
| Verified at | 2026-11-04 |
Fact fields come from public sources; timestamps are shown above. Missing fields are marked unknown and never guessed.
What you get
1 份 Markdown 交付文件，共 9 个章节：
- 一句话定位
- 公开事实元数据（抓取时快照）
- 1. 解决什么问题
- 2. 适用人群
- 3. 技术栈与部署门槛
- 4. 与同类项目的差异
- 5. 已知短板与风险
- 上手路径建议
- 合规与使用边界
Compatibility
| Platform / topics | api · chatgpt · claude |
|---|---|
| License | MIT |
FAQ
买到的是什么形式？
一份 Markdown 交付文件，含 9 个章节（一句话定位 / 公开事实元数据（抓取时快照） / 1. 解决什么问题 / 2. 适用人群 等），付款后生成带授权码的下载文件。
许可证是否允许商用？
元数据记录为 MIT；具体商用范围以原仓库 LICENSE 原文为准，本店不额外授予权利。
项目还在维护吗？
最近一次上游提交：2026-10-30，数据抓取时间 2026-11-04。
Comparison
| 商品 | 价格 | License | Last push |
|---|---|---|---|
| coze-studio · 生态位观察 | ¥2.9 | Apache-2.0 | 2026-07-29 |
| machine-learning-for-trading · 项目档案 | ¥2.9 | MIT | 2026-11-03 |
| FinGPT · 上手避坑卡 | ¥2.9 | MIT | 2026-10-25 |