> ## Documentation Index > Fetch the complete documentation index at: https://docs.dify.ai/llms.txt > Use this file to discover all available pages before exploring further. # Model Specs > This document defines in detail the core concepts and structures for Dify model plugin development, including model providers (Provider), AI model entities (AIModelEntity), model types (ModelType), configuration methods (ConfigurateMethod), model features (ModelFeature), parameter rules (ParameterRule), price configuration (PriceConfig), and detailed data structure specifications for various credential modes. * Model provider rules are based on the [Provider](#provider) entity. * Model rules are based on the [AIModelEntity](#aimodelentity) entity. > All entities below are based on `Pydantic BaseModel`, and can be found in the `entities` module. ### Provider Provider identifier, e.g.: `openai` Provider display name, i18n, can set both `en_US` (English) and `zh_Hans` (Chinese) languages Chinese label, if not set, will default to using `en_US` English label Provider description, i18n Chinese description English description Provider small icon, stored in the `_assets` directory under the corresponding provider implementation directory Chinese icon English icon Provider large icon, stored in the `_assets` directory under the corresponding provider implementation directory Chinese icon English icon Background color value, e.g.: #FFFFFF, if empty, will display the frontend default color value Help information Help title, i18n Chinese title English title Help link, i18n Chinese link English link Supported model types Configuration methods Provider credential specifications Model credential specifications ### AIModelEntity Model identifier, e.g.: `gpt-3.5-turbo` Model display name, i18n, can set both `en_US` (English) and `zh_Hans` (Chinese) languages Chinese label English label Model type List of supported features Model properties Mode (available for model type `llm`) Context size (available for model types `llm` and `text-embedding`) Maximum number of chunks (available for model types `text-embedding` and `moderation`) Maximum file upload limit, unit: MB. (available for model type `speech2text`) Supported file extension formats, e.g.: mp3,mp4 (available for model type `speech2text`) Default voice, required: alloy,echo,fable,onyx,nova,shimmer (available for model type `tts`) List of available voices (available for model type `tts`) Voice model Voice model display name Supported languages for voice model Word limit for single conversion, defaults to paragraph segmentation (available for model type `tts`) Supported audio file extension formats, e.g.: mp3,wav (available for model type `tts`) Number of concurrent tasks supported for text-to-audio conversion (available for model type `tts`) Maximum characters per chunk (available for model type `moderation`) Model call parameter rules Pricing information Whether deprecated. If deprecated, the model list will no longer display it, but those already configured can continue to be used. Default is False. ### ModelType Text generation model Text embedding model Rerank model Speech to text Text to speech Content moderation ### ConfigurateMethod Predefined model - Indicates that the user only needs to configure unified provider credentials to use predefined models under the provider. Customizable model - The user needs to add credential configuration for each model. Fetch from remote - Similar to the `predefined-model` configuration method, only unified provider credentials are needed, but the models are fetched from the provider using the credential information. ### ModelFeature Agent reasoning, generally models over 70B have chain-of-thought capabilities. Vision, i.e.: image understanding. Tool calling Multiple tool calling Streaming tool calling ### FetchFrom Predefined model Remote model ### LLMMode Text completion Chat ### ParameterRule Actual parameter name for model call Use template > For details on using templates, you can refer to the examples in [Creating a New Model Provider](/en/develop-plugin/dev-guides-and-walkthroughs/creating-new-model-provider). There are 5 pre-configured variable content templates by default: * `temperature` * `top_p` * `frequency_penalty` * `presence_penalty` * `max_tokens` You can directly set the template variable name in `use_template`, which will use the default configuration from entities.defaults.PARAMETER\_RULE\_TEMPLATE without needing to set any parameters other than `name` and `use_template`. If additional configuration parameters are set, they will override the default configuration. You can refer to `openai/llm/gpt-3.5-turbo.yaml` for examples. Label, i18n Chinese label English label Parameter type Integer Floating point String Boolean Help information Chinese help information English help information Whether required, default is False Default value Minimum value, only applicable to numeric types Maximum value, only applicable to numeric types Precision, decimal places to retain, only applicable to numeric types Dropdown option values, only applicable when `type` is `string`, if not set or is null, then option values are not restricted ### PriceConfig Input unit price, i.e., Prompt unit price Output unit price, i.e., returned content unit price Price unit, e.g., if priced per 1M tokens, then the unit token number corresponding to the unit price is `0.000001` Currency unit ### ProviderCredentialSchema Credential form specifications ### ModelCredentialSchema Model identifier, default variable name is `model` Model form item display name English Chinese Model prompt content English Chinese Credential form specifications ### CredentialFormSchema Form item variable name Form item label English Chinese Form item type Whether required Default value Form item attribute specific to `select` or `radio`, defines dropdown content Form item attribute specific to `text-input`, form item placeholder English Chinese Form item attribute specific to `text-input`, defines maximum input length, 0 means no limit Display when other form item values meet conditions, empty means always display #### FormType Text input component Password input component Single-select dropdown Radio component Switch component, only supports `true` and `false` #### FormOption Label English Chinese Dropdown option value Display when other form item values meet conditions, empty means always display #### FormShowOnObject Other form item variable name Other form item variable value ## Related Resources * [Model Architecture Details](/en/develop-plugin/features-and-specs/plugin-types/model-schema) - Deep dive into the architecture specifications of model plugins * [Quickly Integrate a New Model](/en/develop-plugin/dev-guides-and-walkthroughs/creating-new-model-provider) - Learn how to apply these rules to add new models * [General Specifications](/en/develop-plugin/features-and-specs/plugin-types/general-specifications) - Understand the configuration of plugin manifest files * [Create a New Model Provider](/en/develop-plugin/dev-guides-and-walkthroughs/creating-new-model-provider) - Develop brand new model provider plugins *** [Edit this page](https://github.com/langgenius/dify-docs/edit/main/en/develop-plugin/features-and-specs/plugin-types/model-designing-rules.mdx) | [Report an issue](https://github.com/langgenius/dify-docs/issues/new?template=docs.yml)