MPL-2.0 的 Go 語言 LLM 閘道，對 DeepSeek 提供深度相容：npx/Docker 一鍵安裝，程式碼代理接入其 OpenAI/Anthropic 相容端點，本機 Web UI 管理路由。
DSH 整合
相容
作者聲明
安全稽核
未稽核
最後核實
2026-08-21
授權條款
MPL-2.0
01它能幫你完成什麼？
Give coding agents a unified model endpoint with DeepSeek best compatibility
OpenAI- and Anthropic-compatible endpoints (http://localhost:12580/tingly/openai/v1 and /tingly/anthropic) with protocol translation, Thinking-workflow reasoning support, cache-hit optimization, vision proxy and web search for DeepSeek
Developers running DeepSeek models in coding agents who want one local endpoint with broad protocol compatibility
Wire coding agents to the gateway with one click
One-click configuration for Claude Code and OpenCode (manual guides in-app for Xcode and others), with transparent proxying for SDKs and CLI tools
Teams using coding agents or custom AI tools that need a quick, low-friction model endpoint setup
Control AI agents remotely from IM apps
Remote task execution and monitoring through Telegram, DingTalk, Feishu, Lark, Weixin, WeCom, Slack and Discord bots configured in the web UI's Remote section
Builders who want to run and check on agents from a phone or share agent access across a team
02如何將外掛接入 DeepSeek Harness？
先決條件
- Node.js LTS with npx for the recommended install path (the README provides install steps via nvm for macOS/Linux and winget or nodejs.org for Windows); or Docker for the container paths
- Go 1.26+ only applies to building from source (source build is documented under the Contributing Guide)
安裝步驟
- 01
Run `npx tingly-box@latest` (or `npx -y tingly-box@latest`) — installs and runs the binary, auto-restarts, migrates and opens the Web UI when run without args
$ npx tingly-box@latest
- 02
If you hit network issues, use the bundled binary: `npx -y tingly-box-bundle@latest` (CN npm mirrors are supported, e.g. `npx --registry=https://registry.npmmirror.com -y tingly-box-bundle@latest`)
$ npx -y tingly-box-bundle@latest
- 03
Or run from Docker: `mkdir tingly-data` then `docker run -d --name tingly-box -p 12580:12580 -v `pwd`/tingly-data:/home/tingly/.tingly-box ghcr.io/tingly-dev/tingly-box`
- 04
Or use Docker Compose for an isolated environment: `docker-compose up -d` (Web UI at http://localhost:12581; `docker-compose down` to stop)
- 05
Open the Web UI at http://localhost:12580 and configure providers, routes and agent integrations there
驗證整合成功
作者未說明
03DSH 整合程度與能力邊界
Runs as a standalone local LLM gateway beside DSH (not installed inside the harness): agents connect to its OpenAI/Anthropic-compatible endpoints, while the repo is tagged as a dsh plugin and the README documents DeepSeek best compatibility
Agent-first model gateway
model providers (API keys and OAuth providers like Claude.ai / Codex)→unified OpenAI/Anthropic-compatible endpoint for agents with automatic protocol translation; adds typically < 1ms of overhead
proxies requests to remote model providers (network egress); stores per-user configuration and usage data locallySmart routing engine
models, tokens and custom policies→requests routed across models and tokens based on cost, speed, or custom policies — beyond simple load balancing
Visual control plane (Web UI)
browser on http://localhost:12580→manage providers, routes, aliases, models and remote bots at a glance — no config files needed; includes client-side usage analytics (token consumption, latency, cost estimates)
writes configuration locally instead of config filesLocal stdio MCP web tools
an MCP client→local stdio MCP server exposing `web_search` / `web_fetch` tools
fetches web content over the network when called
04適合誰？何時不該用？
適合
- Developers running DeepSeek models in coding agents who want one local endpoint with broad protocol compatibility
- Teams using coding agents or custom AI tools that need a quick, low-friction model endpoint setup
- Builders who want to run and check on agents from a phone or share agent access across a team
不適合
- Known issues have been recorded in a public fault record; the maintainers ask users to update to the latest version to resolve them, so staying on the latest release is effectively required.
05相容性、維護與安全提醒
- Known issues have been recorded in a public fault record; the maintainers ask users to update to the latest version to resolve them, so staying on the latest release is effectively required.
- The gateway serves local agents but forwards requests to remote model providers, so it needs network access and valid API keys or OAuth authorizations for the providers you route to.
- The recommended install path requires Node.js LTS with npx; container paths require Docker, and Docker Compose uses port 12581 to avoid conflicting with a host install on 12580.
MPL-2.0 · actively maintained (latest release v0.260819.0, 2026-08-19)
06常見問題
Tingly Box 如何與 DeepSeek Harness 搭配？
Tingly Box 作為獨立本機閘道執行在 harness 旁邊，而不是安裝到 harness 內部：代理程式連接它的 OpenAI/Anthropic 相容端點（http://localhost:12580/tingly/openai/v1 或 /tingly/anthropic）。儲存庫標記為 dsh plugin，README 也說明了 DeepSeek 最佳相容性——協定轉接、推理思考鏈、快取最佳化、視覺代理、網頁搜尋和 1M 上下文。
安裝前需要準備什麼？
推薦的 `npx tingly-box@latest` 安裝方式需要 Node.js LTS 與 npx；容器方式需要 Docker / Docker Compose。只有從原始碼建置時才需要 Go 1.26+。
請求和資料會流向哪裡？
閘道在本機 12580 連接埠執行，把請求透明代理到你透過 API Key 或 OAuth（Claude.ai、Codex 等）設定的模型供應商；設定與每位使用者的用量資料儲存在本機。Guardrails 文件介紹了基於策略的安全檢查與敏感憑證遮罩。
支援 MCP 嗎？
支援——Tingly Box 附帶一個本機 stdio MCP 伺服器，提供 `web_search` / `web_fetch` 工具，詳見 docs/mcp-web-tools.md。
有哪些限制？
已知問題記錄在公開的 fault record 中，維護者要求更新到最新版本來解決。此外閘道需要連網，並且你路由到的模型供應商要有有效的 API Key 或 OAuth 授權。
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08資料與來源
DeepSeek is optimized for mainstream agent workflows, offering broad compatibility across protocol adapters, agent clien…
Tingly Box **serves agents, coordinates AI models, optimizes context, and routes requests** for maximum efficiency — wit…
此頁面根據專案公開文件、儲存庫中繼資料與 DSH Plugins 的結構化解析所產生；最後核實於 2026-08-21。發現錯誤？提交更正。
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