MQTTX 1.9.7: Introducing Copilot - Your AI-Powered MQTT Assistant
Table of Contents
The MQTT 5.0 client tool MQTTX has recently rolled out its version 1.9.7. A significant highlight of this release is the introduction of MQTTX Copilot, our innovative MQTT AI assistant, specially designed to offer crucial convenience to users. This feature improves user interaction by providing intuitive assistance for better understanding and utilization of MQTT and EMQX. The update also addresses several bug fixes, leading to a notable improvement in the overall user experience.
Download the latest version here: https://mqttx.app/downloads
MQTTX Copilot
MQTTX Copilot is an AI assistant designed to help with MQTT-related queries, provide solutions for common issues, and offer insights on best practices.
Using MQTTX and EMQX can be easier than ever with this tool. It simplifies testing MQTT connections, publishing and subscribing to topics, debugging, and developing MQTT applications and brokers, enriching your MQTT experience.
Preparation Before Getting Started
MQTTX Copilot is powered by OpenAI's GPT models. To use it, you need to configure your OpenAI API key on the MQTTX settings page located at the bottom. You can find detailed steps and information for getting your API key on the OpenAI API Keys page.
Also, remember to choose a language model version(e.g. GPT-3.5 or GPT-4) that aligns with your specific needs and OpenAI API Key requirements.
Error Analysis with One Click
When encountering errors during connection or subscription, you can swiftly click the “Ask Copilot” button within the error prompt. Upon activation, MQTTX Copilot will assist you in analyzing potential causes for the issue, enabling you to methodically check and troubleshoot each possibility to identify and resolve the error.
AI-Powered Code Generation
MQTTX Copilot now offers a one-click solution for generating MQTT client codes tailored to your current test connections. This feature greatly simplifies setting up MQTT clients in various programming languages. Currently, MQTTX Copilot supports code generation for several languages, including:
- JavaScript
- Python
- Java
- Golang
- ...
This functionality ensures a more streamlined and efficient development process, making it easier for users to integrate MQTT into their projects.
MQTT FAQs and EMQX Tutorials
MQTTX Copilot offers tutorials on EMQX installation and usage, along with MQTT FAQs guidance, to enhance users' proficiency in MQTT and EMQX.
Automated Test Data Generation
MQTTX Copilot simplifies test payload generation, allowing users to analyze and optimize MQTT data implementations quickly.
Current Connection Information
With just one click, MQTTX Copilot offers valuable insights into MQTT connections by analyzing and interpreting connection information. This feature empowers users to effectively manage and optimize their MQTT connections.
Besides, MQTTX Copilot allows users to edit prompt messages and quickly access relevant information using the @connection
keyword. This enables customization and other upcoming features like topic management, automatic payload filling, and EMQX log analysis to enhance the MQTTX Copilot experience.
Fixes and Improvements
In addition to the launch of MQTTX Copilot, MQTTX 1.9.7 includes a variety of optimizations and fixes:
JSON Data Precision (Desktop, CLI, Web)
The issue of data precision loss in JSON messages has been solved, ensuring an accurate representation of long-type numerical data. (BigInt Support)
SSL Option Clarified (Desktop)
It enhanced the SSL option to include CA Signed server certificates
and CA or Self-Signed certificates
for improved clarity.
Topic-Alias Issue Fix (Web, CLI):
The topic-alias maximum error in web and CLI connections has been resolved. This fixes the issue of MQTTX CLI not receiving messages with topic aliases properly, and also addresses the problem of not being able to set a maximum topic alias.
Others
- Reconnection Issue Fixed (Desktop): Addressed issues with reconnection after disconnection.
- Unused Placeholders Removed (Desktop): Cleaned up unused placeholders in code.
- Translation Updates (Desktop, Web): Improved translations for specific languages.
- Typo Corrections (Desktop): Corrected typographical errors in documentation or code.
- Web README Update: Improved the README documentation for MQTTX Web.
Special Thanks
Huge thanks to @ni00 for resolving critical issues like JSON precision and topic alias, and to @Rotzbua for documentation and engineering fixes in MQTTX.
Roadmap
MQTTX Copilot Enhancements: Upgrades to include stream output, payload autofill, payload analysis, and automatic creation of connections and subscriptions to topics.
IoT Scenario Data Simulation: Sync this feature to the desktop client to simplify the testing of IoT scenarios.
- Sparkplug B Support: Extend the functionalities of MQTTX to include support for Sparkplug B.
- QoS 0 Message Storage Optimization: Reduce storage space usage through configurable options.
- MQTT Debug Functionality: Introduce features to assist users in debugging MQTT communications.
- Automatic Chart Drawing: Automatically transform received messages into charts for more straightforward analysis.
- Plugin Functionality: Launch a plugin system that supports protocol extensions such as CoAP and MQTT-SN.
- Avro Message Format Support: Introduce encoding and decoding functionalities for Avro message format.
- Script Test Automation (Flow): Simplify the creation and management of automated testing workflows.