Modules
The OneEntry Platform consists of modules, which are sections containing information and tools for working with different entities. A complete list of modules can be found in the "Settings" section, under the "Modules" subsection. The modules are linked to the left vertical menu, which you can customize to your liking.
Custom Modules
You can deploy your module with your own functionality using the developer API.
mtls
Setting up and configuring mTLS certificate for Platform OneEntry using tokens and mTLS, as well as deploying the application on a server with Nginx, Docker, and GitLab
Application Tokens
Tokens are necessary for additional protection of your application when using it on the internet.
General Settings
The General settings tab in the Settings section gathers in one place the parameters that affect the entire project: date display format, time zone, list of domains, system tokens and regulations, log retention periods, and IP address checks.
Attributes
4 items
File Content Search
The File Search tab in the Settings section manages the text search within files uploaded to the project: which files to process, how much text to extract from them, and how to determine the language of documents and queries. It also shows which part of the files has already been indexed and allows you to initiate reindexing.
Languages
2 items
Templates
Templates help change the structure and appearance of your project without altering its source code. Components can be initially described in your project's code and marked with templates created in the OneEntry Platform. They can differ in design solutions, behavior, etc. By switching templates, you can influence the operation of your entities, whether it's a page, block, form, etc.
Preview Templates
Preview templates allow you to configure the image parameters used in attributes.
AI Agents
The AI Agents tab in the Settings section allows you to connect external AI provider accounts to the project. Each account stores an access key, a list of available models, a default model, and a spending limit. These models are used in the platform's capabilities, such as for content translation or AI assistant functionality.