Merge pull request #22 from VisActor/feat-vmind-doc-page

feat: update vmind document

docs/assets/guide/en/Basic_Tutorial/Create_VMind_instance.md → docs/assets/guide/en/Basic_Tutorial/Create_VMind_Instance.md

@@ -147,3 +147,4 @@ const { spec } = await vmind.generateChart(userInput, fieldInfo, dataset); //Cal
 This tutorial details how to create a VMind instance and how to set various parameters to meet different needs. We learned how to specify the url of the model service, how to set headers for authentication, how to choose the model type, and how to set the maximum token quantity and temperature of the model-generated content. We also learned how to control whether the model adds the thinking process to the output results through the showThoughts parameter, and how to customize the method of calling the LLM service through the customRequestFunc parameter.
 
 Through this tutorial, you can not only learn how to create and configure VMind instances, but also understand how to adjust and optimize the use of VMind according to your own needs and environment, so as to more effectively use VMind to complete various tasks, including chart generation, data processing, and data aggregation, etc.
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