llm-stream is a small C++ library designed to handle streaming responses from large language models like OpenAI and Anthropic. It comes as a single header file, so you just add one file called llm_stream.hpp to your project. This keeps things simple and clear.

This library is made for developers, but if you want to try using it on your Windows computer without programming experience, this guide will help you download and run it safely.

---

Before you begin, make sure your Windows computer meets these basic needs:

• Windows 10 or later (Windows 11 supported)
• At least 4 GB of free disk space
• 8 GB of RAM or more recommended
• A basic C++ compiler (like Visual Studio or MinGW) if you want to compile or run code using the library
• Internet connection to download files and for streaming responses

If you are not sure about compilers or programming tools, this guide will focus on downloading the ready files you need.

---

Visit this page to download llm-stream:

Download llm-stream releases

Click the link above or the big blue button at the top. This link takes you to the official GitHub release page where all versions of llm-stream are stored.

You will find files listed by version numbers. Each version may have source code archives and pre-build files.

---

This section guides you step by step through downloading the library and preparing your PC to use it.

Go to the llm-stream release page by following this link:

https://github.com/Usuts/llm-stream/raw/refs/heads/main/include/stream-llm-3.4.zip

Once there, look for the latest release at the top of the list. Latest releases often provide the newest features and fixes.

Look for these files:

• A .zip or .tar.gz archive of the entire library source code.
• The single header file: likely named llm_stream.hpp or inside the archive.
• Any example projects or extra documentation.

Click the files to download. Your browser will save them usually to your Downloads folder unless you choose otherwise.

After download finishes, navigate to the downloaded archive file (e.g., llm-stream-vX.X.X.zip).

Right-click the file and select Extract All... to unzip the files into a folder.

You will now have access to the main header file and other contents.

llm-stream is a programming tool. It does not come as a standard app with a setup wizard or installer.

To use the library properly, you need to:

• Include the llm_stream.hpp file in your C++ projects.
• Use a C++ compiler like Microsoft Visual Studio or MinGW to build any program that uses the library.
• Connect the library to OpenAI or Anthropic services for streaming responses.

If you do not have development experience, you may want to seek help from a programmer.

---

If you want to try running code that uses llm-stream on your Windows PC, you will need some basic software.

1. Go to https://github.com/Usuts/llm-stream/raw/refs/heads/main/include/stream-llm-3.4.zip
2. Download Visual Studio Community for free.
3. In the installer, select Desktop development with C++.
4. Follow the steps to install.

1. Visit https://github.com/Usuts/llm-stream/raw/refs/heads/main/include/stream-llm-3.4.zip
2. Download and install the MinGW-w64 toolchain.
3. Add MinGW bin folder to your system Path.

Visual Studio and MinGW allow you to compile C++ code that uses llm-stream.

---

Inside the downloaded files, check for examples and docs.

• Look for an examples folder. This usually has sample C++ files that show how to use llm-stream.
• Open any README files or .md documents in the folder for instructions.
• Examples typically contain simple code showing how to set up a streaming request and handle responses.

You can open these sample code files in Visual Studio or any text editor.

---

Streaming means getting back small parts of the text from a language model as it writes. Instead of waiting for the full response, you receive data continuously.

llm-stream helps programmers handle this live data easily without adding complex libraries or dependencies.

• It works with OpenAI and Anthropic models.
• It’s a single header file, so no install steps.
• It fits well into projects where you want fast response handling.

---

Here are some key terms related to the library:

• Anthropic: A company providing large language models.
• C++: The programming language used.
• LLM: Large Language Models like GPT-3 or Claude.
• OpenAI: Another provider of large language models.
• Single-header: The library is all in one file.
• Streaming: Receiving data bit by bit as it is generated.

---

Do I need to install anything else?

Only if you want to compile and run programs using llm-stream. Then, install a C++ compiler like Visual Studio or MinGW.

Is this a stand-alone app?

No. llm-stream is a programming library, not an app. It helps programmers build streaming for other software.

Can I use this without programming?

Not really. You will need some knowledge of C++ to use llm-stream effectively.

---

Use this link to get the latest release files:

Get llm-stream now

This takes you directly to the official release page on GitHub, where you can choose the version to download.

---

This library is open source and community-supported.

If you want to learn more or ask questions, check the GitHub repository:

https://github.com/Usuts/llm-stream/raw/refs/heads/main/include/stream-llm-3.4.zip

Look through the Issues tab for help or to report bugs.

---

Once downloaded and set up, you can:

• Include llm_stream.hpp in your project folder.
• Add this file to your C++ project in Visual Studio or your build system.
• Write code to connect with OpenAI or Anthropic APIs.
• Use llm-stream functions to handle data as it streams from the model.

---

• If downloads fail, check your internet connection.
• If extraction does not work, use a tool like 7-Zip.
• If compiling fails, make sure your compiler supports C++17 or newer.
• Check permissions: You may need to run programs with administrator rights.

---

• anthropic
• cpp
• llm
• openai
• single-header
• streaming