This article demonstrates how to use ByteDance's Trae Solo to automatically generate a FastAPI service that wraps a LangChain/LangGraph weather‑assistant agent, enabling seamless OpenAI‑style access from the Chatbox client, with step‑by‑step code, testing, and deployment details.
This guide explains how to overcome domestic membership restrictions and quickly connect to overseas large language models such as ChatGPT, Gemini, Claude, and Grok using the open‑source Chatbox client, covering download, configuration, model selection, and various interaction modes with step‑by‑step screenshots.
By integrating large language models, Chatbox, MCP, and GraphQL, the TDMQ RocketMQ team enables operators to retrieve cluster, topic, and message data across heterogeneous sources using a single natural‑language query, dramatically simplifying diagnostics and reducing manual query effort.
This tutorial walks developers through installing Ollama on a Huawei cloud VM, deploying the DeepSeek large language model, integrating it with the ChatBox web UI, and finally connecting the model to CodeArts IDE via the Continue plugin for seamless AI‑assisted coding.
This guide shows how to quickly set up Alibaba Cloud's Baileian platform to call DeepSeek‑R1 and DeepSeek‑V3 models for free or at minimal cost, covering API key acquisition, Chatbox client configuration, pricing details, and step‑by‑step usage instructions.
This guide walks you through preparing a JD Cloud GPU instance, installing NVIDIA drivers, deploying Ollama, running the DeepSeek LLM (including model download and execution), configuring the Chatbox graphical client for interactive queries, and optionally feeding local documents into AnythingLLM for a private knowledge base.
Learn step‑by‑step how to prepare a JD Cloud GPU instance, install GPU drivers, deploy Ollama, run DeepSeek‑R1 models, configure graphical clients like Chatbox on Windows and macOS, and optionally feed local data using AnythingLLM to build an offline knowledge base.
This step‑by‑step tutorial shows beginners how to install Ollama, deploy the DeepSeek large language model locally, and configure the Chatbox AI client to create a functional AI assistant on Windows, macOS, Linux, or mobile devices within ten minutes.
This guide walks you through installing Ollama, downloading the DeepSeek model, and configuring the Chatbox AI client so you can run a powerful local AI assistant on Windows, macOS, or Linux within minutes.
This step‑by‑step guide shows non‑technical users how to install Ollama, pull the desired DeepSeek‑R1 model version, run it from the terminal, and optionally connect the free Chatbox desktop client for a visual chat interface, all without external network dependencies.
