> ## Documentation Index > Fetch the complete documentation index at: https://docs.getbifrost.ai/llms.txt > Use this file to discover all available pages before exploring further. # Create embeddings (Cohere v2 format) > Creates embeddings using Cohere v2 API format. ## OpenAPI ````yaml /openapi/openapi.json post /cohere/v2/embed openapi: 3.1.0 info: title: Bifrost API description: > Bifrost HTTP Transport API for AI model inference and gateway management. This API provides a unified interface for interacting with multiple AI providers including OpenAI, Anthropic, Bedrock, Gemini, and more through a single API, along with comprehensive management APIs for configuring and monitoring the gateway. ## API Structure ### Unified Inference API (`/v1/*`) The primary API using Bifrost's unified format. Model parameters use the format `provider/model` (e.g., `openai/gpt-4`, `anthropic/claude-3-opus`). ### Async Inference API (`/v1/async/*`) Submit inference requests for asynchronous execution. Returns a job ID immediately and allows polling for results. Supports all inference types except batches, files, and containers. ### Provider Integration APIs Native provider-format APIs for drop-in compatibility: - `/openai/*` - OpenAI-compatible API - `/anthropic/*` - Anthropic-compatible API - `/genai/*` - Google GenAI (Gemini) compatible API - `/bedrock/*` - AWS Bedrock compatible API - `/cohere/*` - Cohere compatible API ### Framework Integration APIs Multi-provider proxy endpoints for AI frameworks: - `/litellm/*` - LiteLLM proxy with all provider formats - `/langchain/*` - LangChain compatible endpoints - `/pydanticai/*` - PydanticAI compatible endpoints ### Management APIs (`/api/*`) APIs for managing and monitoring the Bifrost gateway: - `/api/config` - Configuration management - `/api/providers` - Provider and API key management - `/api/plugins` - Plugin management - `/api/governance/*` - Virtual keys, teams, customers, budgets, rate limits, routing rules, and pricing overrides - `/api/logs` - Log search and analytics - `/api/mcp/*` - MCP (Model Context Protocol) client management - `/api/session/*` - Authentication and session management - `/api/cache/*` - Cache management - `/health` - Health check endpoint ## Fallbacks Requests can include fallback models that will be tried if the primary model fails. version: 1.0.0 contact: name: Contact Us url: https://getmaxim.ai/bifrost license: name: Apache 2.0 url: https://opensource.org/licenses/Apache-2.0 servers: - url: '{baseUrl}' description: Your Bifrost instance variables: baseUrl: default: http://localhost:8080 description: Base URL of your Bifrost instance (e.g. https://bifrost.mycompany.com) security: - BearerAuth: [] - BasicAuth: [] - ApiKeyAuth: [] tags: - name: Models description: Model listing and information - name: Chat Completions description: Chat-based text generation - name: Text Completions description: Text completion generation - name: Responses description: OpenAI Responses API compatible endpoints - name: OCR description: Optical character recognition for documents and images - name: Rerank description: Document reranking by relevance to a query - name: Embeddings description: Text embedding generation - name: Images description: Image generations, editing, and variations - name: Videos description: Video generation and management - name: Audio description: Speech synthesis and transcription - name: Count Tokens description: Token counting utilities - name: Batch description: Batch processing operations - name: Files description: File management operations - name: Containers description: Container management operations - name: Async Jobs description: Asynchronous job submission and retrieval endpoints - name: OpenAI Integration description: OpenAI-compatible API endpoints (/openai/*) - name: Azure Integration description: Azure OpenAI integration endpoints - name: Anthropic Integration description: Anthropic-compatible API endpoints (/anthropic/*) - name: GenAI Integration description: Google GenAI (Gemini) compatible API endpoints (/genai/*) - name: Bedrock Integration description: AWS Bedrock compatible API endpoints (/bedrock/*) - name: Cohere Integration description: Cohere compatible API endpoints (/cohere/*) - name: LiteLLM Integration description: LiteLLM proxy endpoints with multi-provider support (/litellm/*) - name: LangChain Integration description: LangChain compatible endpoints with multi-provider support (/langchain/*) - name: PydanticAI Integration description: >- PydanticAI compatible endpoints with multi-provider support (/pydanticai/*) - name: Health description: Health check endpoints - name: Configuration description: Configuration management endpoints - name: Session description: Session and authentication endpoints - name: Providers description: Provider management endpoints - name: Plugins description: Plugin management endpoints - name: MCP description: Model Context Protocol endpoints - name: Governance description: Virtual keys, teams, and customers management - name: Logging description: Log search and management endpoints - name: Cache description: Cache management endpoints paths: /cohere/v2/embed: post: tags: - Cohere Integration summary: Create embeddings (Cohere v2 format) description: | Creates embeddings using Cohere v2 API format. operationId: cohereEmbedV2 requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/CohereEmbeddingRequest' responses: '200': description: Successful response content: application/json: schema: $ref: '#/components/schemas/CohereEmbeddingResponse' '400': description: Bad request content: application/json: schema: $ref: '#/components/schemas/CohereError' '500': description: Internal server error content: application/json: schema: $ref: '#/components/schemas/CohereError' security: - BearerAuth: [] - BasicAuth: [] - VirtualKeyAuth: [] - ApiKeyAuth: [] components: schemas: CohereEmbeddingRequest: type: object required: - model - input_type properties: model: type: string description: ID of an available embedding model example: embed-english-v3.0 input_type: type: string description: >- Specifies the type of input passed to the model. Required for embedding models v3 and higher. texts: type: array items: type: string description: >- Array of strings to embed. Maximum 96 texts per call. At least one of texts, images, or inputs is required. maxItems: 96 images: type: array items: type: string description: >- Array of image data URIs for multimodal embedding. Maximum 1 image per call. Supports JPEG, PNG, WebP, GIF up to 5MB. maxItems: 1 inputs: type: array items: type: object properties: content: type: array items: type: object required: - type properties: type: type: string enum: - text - image_url - thinking - document text: type: string image_url: type: object properties: url: type: string thinking: type: string document: type: object properties: data: type: object id: type: string description: Array of content blocks (reuses chat content blocks) description: >- Array of mixed text/image components for embedding. Maximum 96 per call. maxItems: 96 embedding_types: type: array items: type: string description: >- Specifies the return format types (float, int8, uint8, binary, ubinary, base64). Defaults to float if unspecified. output_dimension: type: integer description: >- Number of dimensions for output embeddings (256, 512, 1024, 1536). Available only for embed-v4 and newer models. max_tokens: type: integer description: Maximum tokens to embed per input before truncation. truncate: type: string description: Handling for inputs exceeding token limits. Defaults to END. CohereEmbeddingResponse: type: object properties: id: type: string description: Response ID embeddings: type: object description: Embedding data object with different types properties: float: type: array items: type: array items: type: number description: Float embeddings int8: type: array items: type: array items: type: integer description: Int8 embeddings uint8: type: array items: type: array items: type: integer description: Uint8 embeddings binary: type: array items: type: array items: type: integer description: Binary embeddings ubinary: type: array items: type: array items: type: integer description: Unsigned binary embeddings base64: type: array items: type: string description: Base64-encoded embeddings response_type: type: string description: Response type (embeddings_floats, embeddings_by_type) texts: type: array items: type: string description: Original text entries images: type: array items: type: object description: Image information in the response properties: width: type: integer description: Width in pixels height: type: integer description: Height in pixels format: type: string description: Image format bit_depth: type: integer description: Bit depth description: Original image entries meta: type: object description: Metadata in embedding response properties: api_version: type: object description: API version information properties: version: type: string description: API version is_deprecated: type: boolean description: Deprecation status is_experimental: type: boolean description: Experimental status billed_units: type: object properties: input_tokens: type: integer description: Number of billed input tokens output_tokens: type: integer description: Number of billed output tokens search_units: type: integer description: Number of billed search units classifications: type: integer description: Number of billed classification units tokens: type: object properties: input_tokens: type: integer description: Number of input tokens used output_tokens: type: integer description: Number of output tokens produced warnings: type: array items: type: string description: Any warnings CohereError: type: object properties: type: type: string description: Error type message: type: string description: Error message code: type: string description: Optional error code securitySchemes: BearerAuth: type: http scheme: bearer description: > Bearer token authentication. Use your provider API key or Bifrost authentication token. Virtual keys (prefixed with `sk-bf-`) can also be passed here. BasicAuth: type: http scheme: basic description: | Basic authentication using username and password. ApiKeyAuth: type: apiKey in: header name: x-api-key description: | API key authentication via the `x-api-key` header. Virtual keys (prefixed with `sk-bf-`) can also be passed here. VirtualKeyAuth: type: apiKey in: header name: x-bf-vk description: > Bifrost Virtual Key for governance, routing, and access control. Supported on all inference endpoints (`/v1/*`, `/openai/*`, `/anthropic/*`, `/bedrock/*`, `/cohere/*`, `/genai/*`, `/langchain/*`, `/litellm/*`, `/pydanticai/*`, `/mcp`), not on management APIs (`/api/*`). Example: `sk-bf-*` prefixed keys. ````