# 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="" %} ### **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:** 2️⃣ **Multiple Miners Serving User Inference Requests** * Showcases miners, the router, and Web3/Web2 SDK clients in action. * **Watch here:** As we **migrate from v0 to v1**, these foundational concepts are being **expanded, refined, and optimized** to support a **scalable, decentralized AI inference network**. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.cortensor.network/technical-architecture/development-previews/web3-sdk-client-and-session-session-queue-interaction.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.