> For the complete documentation index, see [llms.txt](https://docs.cortensor.network/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cortensor.network/technical-architecture/development-previews/web3-sdk-client-and-session-session-queue-interaction.md).

# Web3 SDK Client & Session/Session Queue Interaction

This development preview video (**2:30 min**) demonstrates the interaction between **distributed miners** and the **Cortensor Web3 SDK client**. It highlights how the **Session & Session Queue modules** handle user input and distribute AI inference tasks across the decentralized network.

{% embed url="<https://www.canva.com/design/DAGha4JEl3c/J1Z7FaHjeSVmnHeopkyCpA/watch>" %}

### **Key Modules Demonstrated**

* **Web3 SDK Client** – The interface through which users interact with Cortensor’s AI inference system.
* **Session & Session Queue Modules** – Responsible for handling and assigning user input to network miners.
* **Cognitive Module** – Ensures network health, SLA enforcement, and node classification.

### **Demonstration Flow**

1. The user submits inference tasks via the **Web3 SDK Client**.
2. The **Session & Session Queue Modules** dynamically route tasks across the network.
3. Miners process tasks based on availability and hardware capabilities.
4. The system collects and returns results from the miners to the user.

### **What’s Shown in the Video?**

The preview features **three core components** of the Cortensor network:

* **Contabo VPS2 US West** – A miner running on an **AMD CPU**.
* **Vultr A16 Nvidia Instance** – A miner utilizing **GPU inference**.
* **Contabo VPS2 US Central** – A **client instance** running the Web3 SDK, sending inference requests to the network.

### **Development Status**

#### **Early-Stage Implementation**

* Current implementation is still in **early development**, with **latency optimizations underway**.
* The speed will **improve** as we transition to the **v1 codebase**.

#### **Upcoming Integrations**

* **Web2 real-time response** via **WebSocket & REST Stream API**.
* **Router Node & Node Pool support** for improved **scalability & efficiency**.
* **Full v0 to v1 codebase migration** to enhance **performance & reliability**.

### **Future Improvements**

* **Reduced inference latency** for faster response times.
* **Real-time streaming capabilities** for more seamless interactions.
* **Optimized network routing** for improved **task distribution & miner selection**.

### **Reference: Previous Development Preview**

The following **v0 development previews** demonstrate the evolution of Cortensor’s inference request handling. These earlier versions serve as a **blueprint** for the **current v1 development**.

1️⃣ **Single Miner Interacting with Router via Web2/Web3 SDK Client**

* A single miner interacting with the router to serve user requests.
* **Watch here:** <https://www.youtube.com/watch?v=QWaL6rc0cv0>

2️⃣ **Multiple Miners Serving User Inference Requests**

* Showcases miners, the router, and Web3/Web2 SDK clients in action.
* **Watch here:** <https://www.youtube.com/watch?v=2l90bBe0lXA>

As we **migrate from v0 to v1**, these foundational concepts are being **expanded, refined, and optimized** to support a **scalable, decentralized AI inference network**.&#x20;