> ## 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. # Generate a video > Creates a video generation job from a text prompt. This is an asynchronous operation that returns immediately with a job ID. Use the retrieve endpoint to check the status and get the video URL when generation is complete. ## OpenAPI ````yaml /openapi/openapi.json post /v1/videos 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: /v1/videos: post: tags: - Videos summary: Generate a video description: > Creates a video generation job from a text prompt. This is an asynchronous operation that returns immediately with a job ID. Use the retrieve endpoint to check the status and get the video URL when generation is complete. operationId: videoGeneration requestBody: required: true content: application/json: schema: type: object required: - model - prompt properties: model: type: string description: Model identifier in format `provider/model` prompt: type: string description: Text prompt describing the video to generate input_reference: type: string description: >- Optional reference image for image-to-video. OpenAI and Gemini require a base64 data URL (e.g., `data:image/png;base64,...`). Runway and Replicate accept both data URLs and plain URLs. seconds: type: string description: Duration of the video in seconds as a string (e.g., "4") size: type: string description: >- Resolution of the generated video (e.g., `1280x720`, `720x1280`, `1920x1080`) negative_prompt: type: string description: Text describing what to avoid in the generated video seed: type: integer description: Seed for reproducible generation video_uri: type: string description: >- Source video URI for video-to-video generation (provider-specific, e.g. GCS URI) audio: type: boolean description: >- Enable audio generation in the video (supported by select providers/models) fallbacks: type: array items: $ref: '#/components/schemas/Fallback' description: Fallback models to try if primary model fails responses: '200': description: > Successful response. Returns a video generation job object with status information. Poll the retrieve endpoint to check completion status. content: application/json: schema: type: object properties: id: type: string description: >- Provider-native job ID. To use in path parameters (retrieve/delete/download), combine as `{id}:{provider}` (e.g., `task_abc123:runway`) object: type: string enum: - video description: Object type, always "video" model: type: string description: Model used for video generation status: type: string enum: - queued - in_progress - completed - failed description: | Current lifecycle status of the video generation job: - `queued`: Job is waiting to be processed - `in_progress`: Video is currently being generated - `completed`: Video generation completed successfully - `failed`: Video generation failed progress: type: number format: float minimum: 0 maximum: 100 description: Approximate completion percentage (0-100) prompt: type: string description: Prompt used to generate the video remixed_from_video_id: type: string description: Source video ID if this is a remix seconds: type: string description: >- Duration of the generated video in seconds as a string (e.g., "4") size: type: string description: Resolution of the generated video (e.g., "1920x1080") created_at: type: integer format: int64 description: Unix timestamp (seconds) when the job was created completed_at: type: integer format: int64 description: Unix timestamp (seconds) when the job completed expires_at: type: integer format: int64 description: Unix timestamp (seconds) when downloadable assets expire videos: type: array description: >- Generated video outputs (only present when status is "completed") items: type: object properties: type: type: string enum: - url - base64 description: Output format of this video url: type: string format: uri description: >- URL to the generated video (present when type is "url") base64: type: string description: >- Base64-encoded video content (present when type is "base64") content_type: type: string description: MIME type of the video (e.g., "video/mp4") error: type: object properties: code: type: string description: Error code message: type: string description: Human-readable error message content_filter: type: object description: >- Information about content that was filtered due to safety policies properties: filtered_count: type: integer description: Number of items filtered reasons: type: array items: type: string description: Human-readable reasons for filtering extra_fields: $ref: '#/components/schemas/BifrostResponseExtraFields' '400': description: Bad request content: application/json: schema: $ref: '#/components/schemas/BifrostError' '500': description: Internal server error content: application/json: schema: $ref: '#/components/schemas/BifrostError' security: - BearerAuth: [] - BasicAuth: [] - VirtualKeyAuth: [] - ApiKeyAuth: [] components: schemas: Fallback: type: object description: Fallback model configuration required: - provider - model properties: provider: $ref: '#/components/schemas/ModelProvider' model: type: string description: Model name BifrostResponseExtraFields: type: object description: Additional fields included in responses properties: request_type: type: string description: Type of request that was made provider: $ref: '#/components/schemas/ModelProvider' model_requested: type: string description: The model that was requested model_deployment: type: string description: The actual model deployment used latency: type: integer format: int64 description: Request latency in milliseconds chunk_index: type: integer description: Index of the chunk for streaming responses raw_request: type: object description: Raw request if enabled raw_response: type: object description: Raw response if enabled cache_debug: $ref: '#/components/schemas/BifrostCacheDebug' BifrostError: type: object description: Error response from Bifrost properties: event_id: type: string type: type: string is_bifrost_error: type: boolean status_code: type: integer error: $ref: '#/components/schemas/ErrorField' extra_fields: $ref: '#/components/schemas/BifrostErrorExtraFields' ModelProvider: type: string description: AI model provider identifier enum: - openai - azure - anthropic - bedrock - cohere - vertex - vllm - mistral - ollama - groq - sgl - parasail - perplexity - replicate - cerebras - gemini - openrouter - elevenlabs - huggingface - nebius - xai - runway - fireworks BifrostCacheDebug: type: object properties: cache_hit: type: boolean cache_id: type: string hit_type: type: string requested_provider: type: string requested_model: type: string provider_used: type: string model_used: type: string input_tokens: type: integer threshold: type: number similarity: type: number ErrorField: type: object properties: type: type: string code: type: string message: type: string param: type: string event_id: type: string BifrostErrorExtraFields: type: object properties: provider: $ref: '#/components/schemas/ModelProvider' model_requested: type: string request_type: type: string 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. ````