> ## Documentation Index > Fetch the complete documentation index at: https://enterprise-docs.dify.ai/llms.txt > Use this file to discover all available pages before exploring further. # Get Available Models > Returns the available models of a given type. Use it to find the `text-embedding` and `rerank` models to configure on a knowledge base. ## OpenAPI ````yaml /en/3.11.x/develop/api/openapi_service.json get /workspaces/current/models/model-types/{model_type} openapi: 3.0.1 info: title: Dify Service API description: >- REST API for Dify applications and knowledge bases. Application endpoints authenticate with an app API key; knowledge endpoints authenticate with a dataset API key. version: 1.0.0 servers: - url: https://{api_base_url} description: >- Base URL of the Dify Service API. Replace it with your deployment's API endpoint. variables: api_base_url: default: api.example.com/v1 description: Host and path of the API base URL, without the `https://` prefix. security: - ApiKeyAuth: [] tags: - name: Chat Messages description: Operations related to chat messages and interactions. - name: Files description: File upload and preview operations. - name: End Users description: Operations related to end user information. - name: Feedback description: User feedback operations. - name: Conversations description: Operations related to managing conversations. - name: Audio description: Text-to-Speech and Speech-to-Text operations. - name: Applications description: Operations to retrieve application settings and information. - name: Annotations description: Operations related to managing annotations for direct replies. - name: Human Input description: Endpoints for resuming paused workflows that require human input. - name: Workflow Runs description: Operations for executing and managing workflows. - name: Completion Messages description: Operations related to text generation and completion. - name: Knowledge Bases description: >- Operations for managing knowledge bases, including creation, configuration, and retrieval. - name: Documents description: >- Operations for creating, updating, and managing documents within a knowledge base. - name: Chunks description: Operations for managing document chunks and child chunks. - name: Metadata description: >- Operations for managing knowledge base metadata fields and document metadata values. - name: Tags description: Operations for managing knowledge base tags and tag bindings. - name: Models description: Operations for retrieving available models. - name: Knowledge Pipeline description: >- Operations for managing and running knowledge pipelines, including datasource plugins and pipeline execution. paths: /workspaces/current/models/model-types/{model_type}: get: tags: - Models summary: Get Available Models description: >- Returns the available models of a given type. Use it to find the `text-embedding` and `rerank` models to configure on a knowledge base. operationId: getAvailableModels parameters: - name: model_type in: path required: true schema: type: string enum: - text-embedding - rerank - llm - tts - speech2text - moderation description: >- Type of model to retrieve. For knowledge base configuration, use `text-embedding` for embedding models or `rerank` for reranking models. responses: '200': description: Available models for the specified type. content: application/json: schema: type: object properties: data: type: array description: List of model providers with their available models. items: type: object properties: provider: type: string description: >- Model provider identifier, formatted as `organization/plugin_name/provider_name` (e.g. `langgenius/openai/openai`). Legacy providers may return the bare short form (e.g. `openai`). label: type: object description: Localized display name of the provider. properties: en_US: type: string description: English display name. zh_Hans: type: string description: Chinese display name. icon_small: type: object description: URL of the provider's small icon. properties: en_US: type: string description: Small icon URL. zh_Hans: type: string description: Chinese icon URL. status: type: string description: >- Provider status. `active` when credentials are configured and valid. models: type: array description: List of available models from this provider. items: type: object properties: model: type: string description: >- Model identifier. Use this as the `embedding_model` value when creating or updating a knowledge base. label: type: object description: Localized display name of the model. properties: en_US: type: string description: English model name. zh_Hans: type: string description: Chinese model name. model_type: type: string description: >- Type of the model, matching the `model_type` path parameter. features: type: array nullable: true description: >- Supported features of the model, `null` if none. items: type: string fetch_from: type: string description: >- Where the model definition comes from. `predefined-model` for built-in models, `customizable-model` for user-configured models. model_properties: type: object description: >- Model-specific properties such as `context_size`. status: type: string description: >- Model availability status. `active` when ready to use. deprecated: type: boolean description: Whether the model is deprecated. load_balancing_enabled: type: boolean description: >- Whether load balancing is enabled for the model. has_invalid_load_balancing_configs: type: boolean description: >- Whether the model has invalid load-balancing configurations. tenant_id: type: string description: Workspace ID the provider configuration belongs to. icon_small_dark: type: object description: >- Dark-mode icon URLs; `null` when the provider has none. properties: en_US: type: string zh_Hans: type: string examples: success: summary: Response Example value: data: - provider: langgenius/openai/openai label: en_US: OpenAI zh_Hans: OpenAI icon_small: en_US: https://example.com/openai-small.svg zh_Hans: https://example.com/openai-small.svg status: active models: - model: text-embedding-3-small label: en_US: text-embedding-3-small zh_Hans: text-embedding-3-small model_type: text-embedding features: null fetch_from: predefined-model model_properties: context_size: 8191 status: active deprecated: false load_balancing_enabled: false has_invalid_load_balancing_configs: false tenant_id: 11223344-5566-7788-99aa-bbccddeeff00 icon_small_dark: null components: securitySchemes: ApiKeyAuth: type: http scheme: bearer bearerFormat: API_KEY description: >- Every request authenticates with an API key: `Authorization: Bearer {API_KEY}`. App endpoints take an app API key; knowledge endpoints take a knowledge base API key ([Get Started](/en/3.11.x/develop/api/guides/get-started)). Keep keys server-side; never embed them in client code. Requests with a missing or invalid key fail with HTTP `401` (`unauthorized`). ````