Docux

Less is More

[Docux @docuxstd]

I just discovered Toreader PDF, open-source.
🚀 Open 200MB PDFs in 1–2s.
📑 Merge PDFs without losing bookmarks, split/extract/insert pages
🌍 Translate PDF
✍️ Sign PDFs
💾 Safe editing
Look at https://t.co/ip1HG8wHBS
#PDFreader #opensource #MIT

[Docux @docuxstd]

🤖 Private RAG chatbot — all open-source:

- LLM: Llama 3, Ollama
- Embed: nomic-embed, bge
- Vector DB: Qdrant, Chroma
- Framework: LlamaIndex, LangChain
- Parse: unstructured, pypdf
- API: FastAPI
- UI: Streamlit

Wiring in the diagram ↓

#AI #RAG #LLM

[Docux @docuxstd]

🌐 How to code from a browser and never lose a job?

- Editor: code-server, VS Code in the browser
- Reach it: Cloudflare Tunnel + Access, no ports
- Durable shells: tmux, detach and reattach
- Close the tab, the build keeps running

The wiring ↓

#RemoteDev #DevTools #AI #LLMs

[Docux @docuxstd]

🤖 Private RAG chatbot — all open-source:

- LLM: Llama 3, Ollama
- Embed: nomic-embed, bge
- Vector DB: Qdrant, Chroma
- Framework: LlamaIndex, LangChain
- Parse: unstructured, pypdf
- API: FastAPI
- UI: Streamlit

Wiring in the diagram ↓

#AI #RAG #LLM

[Docux @docuxstd]

🧮 Which model @Zai_org is actually cheapest to code?

Same 3 tasks, three tiers benched:

- 5.2: 2496 tokens, 43s, fewest and fastest
- 4.7: 3384 tokens, 133s, slowest
- 4.5-air: 3754 tokens, 93s, heaviest
- Twist: 5.2 fewest tokens but 2-3x quota

Read the tradeoff ↓

#AI #LLM

[Docux @docuxstd]

💳 API tokens or a flat coding plan, which is cheaper?

- API: pay per token, drains per call
- Plan: flat fee, billed by request quota
- Trap: a heavy model burns 2-3x quota
- Promo windows pull it back to 1x
- Off-plan model = $0 wallet stall

Pick by how you code ↓

#AI #LLM

[Docux @docuxstd]

💳 API tokens or a flat coding plan, which is cheaper?

- API: pay per token, drains per call
- Plan: flat fee, billed by request quota
- Trap: a heavy model burns 2-3x quota
- Promo windows pull it back to 1x
- Off-plan model = $0 wallet stall

Pick by how you code ↓

#AI #LLM

[Docux @docuxstd]

🔌 How to run Codex CLI on a non-OpenAI model?

- Codex dropped chat API, Responses only now
- Your provider speaks only chat completions
- Bridge: LiteLLM proxy, port 4037
- Prefix zai/ not openai/ to translate
- Hook: drop tool type custom or 400

The wiring ↓

#AI #DevTools

[Docux @docuxstd]

🔌 How to run Codex CLI on a non-OpenAI model?

- Codex dropped chat API, Responses only now
- Your provider speaks only chat completions
- Bridge: LiteLLM proxy, port 4037
- Prefix zai/ not openai/ to translate
- Hook: drop tool type custom or 400

The wiring ↓

#AI #DevTools

[Docux @docuxstd]

🆓 How to build an all-free LLM inference stack?

- Main coder: DeepSeek V4
- Research: Gemini, 1500 req/day free
- Fast inference: Groq, Cerebras, NVIDIA
- Offline fallback: Ollama (qwen)
- Pay for one thing: the orchestrator brain

The stack ↓

#AI #LLM

[Docux @docuxstd]

@LightningD11921 Use ChatGPT or Codex or Claude code, they will setup to you, bro

[Docux @docuxstd]

🍓 How to self-host an API on a Raspberry Pi?

- App: FastAPI or Node, kept alive by PM2
- Expose it with a Cloudflare Tunnel
- No port-forward, DNS + TLS free at the edge
- Works behind CGNAT, survives reboots

The wiring ↓

#SelfHosted #RaspberryPi

[Docux @docuxstd]

🆓 How to build an all-free LLM inference stack?

- Main coder: DeepSeek V4
- Research: Gemini, 1500 req/day free
- Fast inference: Groq, Cerebras, NVIDIA
- Offline fallback: Ollama (qwen)
- Pay for one thing: the orchestrator brain

The stack ↓

#AI #LLM

[Docux @docuxstd]

🧩 How to build a portable desktop PDF tool?

- Render + edit: PDFium (MIT, no AGPL trap)
- Structure + bookmarks: QPDF
- Digital signing: OpenSSL CMS, PAdES
- Translate: Gemini + a 2-tier cache
- UI: Qt, one self-contained exe

The stack ↓

#Cpp #PDF

[Docux @docuxstd]

🤖 Private RAG chatbot — all open-source:

- LLM: Llama 3, Ollama
- Embed: nomic-embed, bge
- Vector DB: Qdrant, Chroma
- Framework: LlamaIndex, LangChain
- Parse: unstructured, pypdf
- API: FastAPI
- UI: Streamlit

Wiring in the diagram ↓

#AI #RAG #LLM

[Docux @docuxstd]

✍️ How to digitally sign a PDF from code (PAdES)?

- Add a sig dict: adbe.pkcs7.detached
- Reserve a /ByteRange over the whole file
- Hash everything except the signature hole
- Sign it with OpenSSL CMS, then self-verify

The byte dance ↓

#PDF #Crypto

[Docux @docuxstd]

🆓 How to build an all-free LLM inference stack?

- Main coder: DeepSeek V4
- Research: Gemini, 1500 req/day free
- Fast inference: Groq, Cerebras, NVIDIA
- Offline fallback: Ollama (qwen)
- Pay for one thing: the orchestrator brain

The stack ↓

#AI #LLM

[Docux @docuxstd]

@LightningD11921 Why don't you buy a cheap domain name, use Cloudflare Tunnel to attach a subdomain, and you can access the Pi remotely?

[Docux @docuxstd]

🆓 How to build an all-free LLM inference stack?

- Main coder: DeepSeek V4
- Research: Gemini, 1500 req/day free
- Fast inference: Groq, Cerebras, NVIDIA
- Offline fallback: Ollama (qwen)
- Pay for one thing: the orchestrator brain

The stack ↓

#AI #LLM

[Docux @docuxstd]

🧠 How to run a full dev team solo with AI?

- You drive: an orchestrator model
- Coder: a cheap, strong model
- Reviewer: a DIFFERENT model, catches more
- Researcher: a search-grounded model
- Handyman: a free router for tiny edits

Steal the wiring ↓

#AI #BuildInPublic

[Docux @docuxstd]

🧠 How to run a full dev team solo with AI?

- You drive: an orchestrator model
- Coder: a cheap, strong model
- Reviewer: a DIFFERENT model, catches more
- Researcher: a search-grounded model
- Handyman: a free router for tiny edits

Steal the wiring ↓

#AI #BuildInPublic

[Docux @docuxstd]

🛠 How to keep coding when your API quota runs out?

- Coder: OpenCode, runs DeepSeek V4
- Fast, cheap, writes most of the code
- Quota out? drops to a local Ollama model
- Offline, no credits, still shipping

The workhorse ↓

#AI #DevTools

[Docux @docuxstd]

🔧 How to handle tiny edits without the full pipeline?

- Handyman: Aider, one shot, no review
- Jobs: typos, renames, 1-2 file fixes
- Free router: Gemma, Groq, Cerebras, Ollama
- Whichever model answers first

When to use ↓

#AI #DevTools

[Docux @docuxstd]

🏗 Web IFC/BIM viewer — open-source stack:

- Parse: web-ifc (WASM), IfcOpenShell
- 3D: Three.js, react-three-fiber
- Engine: @thatopen/components
- Cache: IndexedDB, SQLite-WASM
- UI: React, Tailwind
- Build: Vite

Wiring in the diagram ↓

#BIM #IFC #WebGL

[Docux @docuxstd]

🛠 How to keep coding when your API quota runs out?

- Coder: OpenCode, runs DeepSeek V4
- Fast, cheap, writes most of the code
- Quota out? drops to a local Ollama model
- Offline, no credits, still shipping

The workhorse ↓

#AI #DevTools

[Docux @docuxstd]

🤖 Private RAG chatbot — all open-source:

- LLM: Llama 3, Ollama
- Embed: nomic-embed, bge
- Vector DB: Qdrant, Chroma
- Framework: LlamaIndex, LangChain
- Parse: unstructured, pypdf
- API: FastAPI
- UI: Streamlit

Wiring in the diagram ↓

#AI #RAG #LLM

[Docux @docuxstd]

🤖 Private RAG chatbot — all open-source:

- LLM: Llama 3, Ollama
- Embed: nomic-embed, bge
- Vector DB: Qdrant, Chroma
- Framework: LlamaIndex, LangChain
- Parse: unstructured, pypdf
- API: FastAPI
- UI: Streamlit

Wiring in the diagram ↓

#AI #RAG #LLM

[Docux @docuxstd]

🏗 Web IFC/BIM viewer — open-source stack:

- Parse: web-ifc (WASM), IfcOpenShell
- 3D: Three.js, react-three-fiber
- Engine: @thatopen/components
- Cache: IndexedDB, SQLite-WASM
- UI: React, Tailwind
- Build: Vite

Wiring in the diagram ↓

#BIM #IFC #WebGL

[Docux @docuxstd]

@Zai_org why I can setup and call API glm-4.7-flashX paid on Hermes agent?

[Docux @docuxstd]

@quilix Liverpool 3:2 , Arsenal 2 bàn từ tình huống cố định 😂

[Docux @docuxstd]

@farcaster_xyz https://t.co/d9juVisBoF

[Docux @docuxstd]

./xmrig -a ghostrider --url https://t.co/d3HOFZIOuM --tls --user ShANSycgD4uRSZifVyBTtaMxoZnqM3GGrM.Ras

[Docux @docuxstd]

Run on Ras
sudo apt install git build-essential cmake libuv1-dev libssl-dev libhwloc-dev -y git clone https://t.co/hjEdWUOOfI
cd xmrig
mkdir build
cd build
cmake ..
make
./xmrig -a ghostrider --url https://t.co/C9aqJCUGOk --user "your address"."yourname" --pass m=solo