Send messages to an OpenRouter model and get a response

Analyze an image using a vision model

Analyze or transcribe an audio file using a multimodal model

Analyze or transcribe a video file using a multimodal model. Accepts mp4, mpeg, mov, or webm from a local file path, HTTP(S) URL, or base64 data URL. Default model: google/gemini-2.5-flash.

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Generate an image from a text prompt. Optionally conditioned on one or more reference images (file paths, http(s) URLs, or data URLs) for character / style consistency. Sends modalities: ["image","text"] by default; override via the modalities field if needed.

Generate audio from a text prompt. Conversational models (e.g. openai/gpt-audio) respond in spoken audio. Music models (e.g. google/lyria-3-clip-preview) need a structured prompt. Output format is auto-detected and file extension is corrected automatically.

Generate a video from a text prompt using an OpenRouter video-generation model (default: google/veo-3.1). Submits an async job, polls until completion or max_wait_ms, then downloads the result. Optionally conditioned on first/last-frame images or reference images. Large outputs are auto-saved when save_path is provided and path-sandboxed.

Resume a previously submitted video generation job by id. Returns the latest status; if completed, downloads the video (and saves it when save_path is provided).