We launched Scribe v2, the new state of the art transcription model. Learn more about Scribe v2 in the docs.
cascade_timeout_seconds configuration option for agent backup LLM configs, allowing control over how long to wait before cascading to the next LLM. Default is 8 seconds with an allowed range of 2-15 seconds.use_llm_generated_message option to soft timeout configuration. When enabled, the agent will generate a contextual message using the LLM instead of using a predefined message when soft timeout triggers.folder_path field showing the path segments from root to parent folder, making it easier to understand document hierarchy.conversation_initiation_source query parameter.GET /v1/dubbing/{dubbing_id}/transcripts/{language_code}/format/{format_type} endpoint supporting srt, webvtt, and json output formats. The previous GET /v1/dubbing/{dubbing_id}/transcript/{language_code} endpoint is now deprecated.filename field.entity_detection option to Speech-to-Text requests. Accepts 'all', specific entity type strings, or an array of entity types. Detected entities are returned in a new entities response field using the DetectedEntity schema.keyterms array parameter to Speech-to-Text requests for biasing transcription toward specific terms or phrases.output_directory and missing base_pathGET /v1/dubbing/{dubbing_id}/transcripts/{language_code}/format/{format_type} - Retrieve dubbing transcripts in SRT, WebVTT, or JSON formatGET /v1/convai/knowledge-base/{documentation_id}/source-file-url - Get the original source file URL for a knowledge base documentGET /v1/dubbing/{dubbing_id}/transcript/{language_code} - Use the new format-specific endpoint insteadtimezone (string, optional) to request body for timezone-aware schedulingscheduled_time (string, optional) as ISO string alternative to scheduled_time_unixtimezone (string, required) to batch call response modelscascade_timeout_seconds (integer, default 8, range 2-15, nullable) to backup LLM configurationuse_llm_generated_message (boolean, default false) to soft timeout configurationconversation_initiation_source (string, optional) query parameter for filtering conversations by initiation sourceentity_detection to accept 'all', strings, or string arrays instead of booleanuse_typesense query parameterfolder_path (array of path segments) to document response modelsfilename (string, required) to knowledge base file modelskeyterms (array of strings, optional) for biasing transcription toward specific termsentity_detection (string, array, or 'all', optional) for detecting entities in transcribed textentities (array of DetectedEntity, optional) to response modelmode description to note that manual mode is experimental and not recommended for production use