HaxiTAG-Assistant instroduction
HaxiTAG Assistant personal chatbot plugin for personalised task. Personalized tasks, local save instructions and private context data. HaxiTAG Assistant will be support some personal centric workflow, especial in infomation and knowledge management.It will make you feel like you have the power of a multitasking superhero when handling data processing and copywriting tasks. 
You can use online chatgpt, Claude ai, kimi and qwen online services. Support the interaction front-end of local models such as openwebui using local models.
- when you visit chatGPT, Claude AI,kimi,Tongyi qianwen chatbot, you can use this plug-in management of the instruction, context text, significantly reducing your work to repeat the information back and forth carry.
- what is instruction, in the HaxiTAG team work language, generally refers to, hope that the chatbot to perform the task and the requirements of the task. In the working framework of the pre-training model, it also refers to the fine-tuning of the task or intent understanding.
- What is context, in the HaxiTAG team work language, generally refers to, the requirements that the chatbot is expected to perform, such as the style of writing the article, the reasoning logic, the CoT path, and so on. There may be minor differences in the details in each session of the task, so inserting a dialog box or copy and paste through a plugin will balance flexibility and stability.
Will support Scheduled tasks,hosted by personlity at localhost, work with chrome and etc. browser.
3，use as the plugin for the chatbot
When you visit chatGPT, Claude AI, kimi, Tongyi qianwen chatbot, you can use the instructional text and context text managed by this plugin to greatly reduce the workload of repetitive information back and forth.
In the HaxiTAG team's work language, it usually refers to the tasks that the chatbot is expected to perform and the requirements for the tasks. In the pre-trained model's work framework, it also refers to the fine-tuning of task or intent understanding.
We hope that when the chatbot performs tasks, it will pay special attention to, refer to, and follow certain aspects, such as the style of writing articles, reasoning logic, CoT path planning, and reasoning guidance, among others. These complex descriptions have a rough framework and do not require rewriting every time, and can be maintained using context management. In each specific chatbot conversation task, if there are detailed modifications, it is also very convenient to make adjustments through HaxiTAG assistant by inserting dialogue boxes or copying and pasting, which will balance flexibility and stability.
After the installation is complete, you can import the default sample,haxitag_contexts,haxitag_instructions, Next you can refer to this example for editing and creating your own assistant instruction and context dataset.
next developing plan will update at github:
https://github.com/zhyr/HaxiTAG-Assistant