# This file was auto-generated by Fern from our API Definition. import typing from json.decoder import JSONDecodeError from ..core.api_error import ApiError from ..core.client_wrapper import AsyncClientWrapper, SyncClientWrapper from ..core.http_response import AsyncHttpResponse, HttpResponse from ..core.request_options import RequestOptions from ..core.serialization import convert_and_respect_annotation_metadata from ..core.unchecked_base_model import construct_type from ..errors.unprocessable_entity_error import UnprocessableEntityError from ..types.http_validation_error import HttpValidationError from ..types.podcast_project_response_model import PodcastProjectResponseModel from .types.body_create_podcast_v_1_studio_podcasts_post_apply_text_normalization import ( BodyCreatePodcastV1StudioPodcastsPostApplyTextNormalization, ) from .types.body_create_podcast_v_1_studio_podcasts_post_duration_scale import ( BodyCreatePodcastV1StudioPodcastsPostDurationScale, ) from .types.body_create_podcast_v_1_studio_podcasts_post_mode import BodyCreatePodcastV1StudioPodcastsPostMode from .types.body_create_podcast_v_1_studio_podcasts_post_quality_preset import ( BodyCreatePodcastV1StudioPodcastsPostQualityPreset, ) from .types.body_create_podcast_v_1_studio_podcasts_post_source import BodyCreatePodcastV1StudioPodcastsPostSource # this is used as the default value for optional parameters OMIT = typing.cast(typing.Any, ...) class RawStudioClient: def __init__(self, *, client_wrapper: SyncClientWrapper): self._client_wrapper = client_wrapper def create_podcast( self, *, model_id: str, mode: BodyCreatePodcastV1StudioPodcastsPostMode, source: BodyCreatePodcastV1StudioPodcastsPostSource, safety_identifier: typing.Optional[str] = None, quality_preset: typing.Optional[BodyCreatePodcastV1StudioPodcastsPostQualityPreset] = OMIT, duration_scale: typing.Optional[BodyCreatePodcastV1StudioPodcastsPostDurationScale] = OMIT, language: typing.Optional[str] = OMIT, intro: typing.Optional[str] = OMIT, outro: typing.Optional[str] = OMIT, instructions_prompt: typing.Optional[str] = OMIT, highlights: typing.Optional[typing.Sequence[str]] = OMIT, callback_url: typing.Optional[str] = OMIT, apply_text_normalization: typing.Optional[BodyCreatePodcastV1StudioPodcastsPostApplyTextNormalization] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> HttpResponse[PodcastProjectResponseModel]: """ Create and auto-convert a podcast project. Currently, the LLM cost is covered by us but you will still be charged for the audio generation. In the future, you will be charged for both the LLM and audio generation costs. Parameters ---------- model_id : str The ID of the model to be used for this Studio project, you can query GET /v1/models to list all available models. mode : BodyCreatePodcastV1StudioPodcastsPostMode The type of podcast to generate. Can be 'conversation', an interaction between two voices, or 'bulletin', a monologue. source : BodyCreatePodcastV1StudioPodcastsPostSource The source content for the Podcast. safety_identifier : typing.Optional[str] Used for moderation. Your workspace must be allowlisted to use this feature. quality_preset : typing.Optional[BodyCreatePodcastV1StudioPodcastsPostQualityPreset] Output quality of the generated audio. Must be one of: standard - standard output format, 128kbps with 44.1kHz sample rate. high - high quality output format, 192kbps with 44.1kHz sample rate and major improvements on our side. Using this setting increases the credit cost by 20%. ultra - ultra quality output format, 192kbps with 44.1kHz sample rate and highest improvements on our side. Using this setting increases the credit cost by 50%. ultra lossless - ultra quality output format, 705.6kbps with 44.1kHz sample rate and highest improvements on our side in a fully lossless format. Using this setting increases the credit cost by 100%. duration_scale : typing.Optional[BodyCreatePodcastV1StudioPodcastsPostDurationScale] Duration of the generated podcast. Must be one of: short - produces podcasts shorter than 3 minutes. default - produces podcasts roughly between 3-7 minutes. long - produces podcasts longer than 7 minutes. language : typing.Optional[str] An optional language of the Studio project. Two-letter language code (ISO 639-1). intro : typing.Optional[str] The intro text that will always be added to the beginning of the podcast. outro : typing.Optional[str] The outro text that will always be added to the end of the podcast. instructions_prompt : typing.Optional[str] Additional instructions prompt for the podcast generation used to adjust the podcast's style and tone. highlights : typing.Optional[typing.Sequence[str]] A brief summary or highlights of the Studio project's content, providing key points or themes. This should be between 10 and 70 characters. callback_url : typing.Optional[str] A url that will be called by our service when the Studio project is converted. Request will contain a json blob containing the status of the conversion Messages: 1. When project was converted successfully: { type: "project_conversion_status", event_timestamp: 1234567890, data: { request_id: "1234567890", project_id: "21m00Tcm4TlvDq8ikWAM", conversion_status: "success", project_snapshot_id: "22m00Tcm4TlvDq8ikMAT", error_details: None, } } 2. When project conversion failed: { type: "project_conversion_status", event_timestamp: 1234567890, data: { request_id: "1234567890", project_id: "21m00Tcm4TlvDq8ikWAM", conversion_status: "error", project_snapshot_id: None, error_details: "Error details if conversion failed" } } 3. When chapter was converted successfully: { type: "chapter_conversion_status", event_timestamp: 1234567890, data: { request_id: "1234567890", project_id: "21m00Tcm4TlvDq8ikWAM", chapter_id: "22m00Tcm4TlvDq8ikMAT", conversion_status: "success", chapter_snapshot_id: "23m00Tcm4TlvDq8ikMAV", error_details: None, } } 4. When chapter conversion failed: { type: "chapter_conversion_status", event_timestamp: 1234567890, data: { request_id: "1234567890", project_id: "21m00Tcm4TlvDq8ikWAM", chapter_id: "22m00Tcm4TlvDq8ikMAT", conversion_status: "error", chapter_snapshot_id: None, error_details: "Error details if conversion failed" } } apply_text_normalization : typing.Optional[BodyCreatePodcastV1StudioPodcastsPostApplyTextNormalization] This parameter controls text normalization with four modes: 'auto', 'on', 'apply_english' and 'off'. When set to 'auto', the system will automatically decide whether to apply text normalization (e.g., spelling out numbers). With 'on', text normalization will always be applied, while with 'off', it will be skipped. 'apply_english' is the same as 'on' but will assume that text is in English. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- HttpResponse[PodcastProjectResponseModel] Successful Response """ _response = self._client_wrapper.httpx_client.request( "v1/studio/podcasts", method="POST", json={ "model_id": model_id, "mode": convert_and_respect_annotation_metadata( object_=mode, annotation=BodyCreatePodcastV1StudioPodcastsPostMode, direction="write" ), "source": convert_and_respect_annotation_metadata( object_=source, annotation=BodyCreatePodcastV1StudioPodcastsPostSource, direction="write" ), "quality_preset": quality_preset, "duration_scale": duration_scale, "language": language, "intro": intro, "outro": outro, "instructions_prompt": instructions_prompt, "highlights": highlights, "callback_url": callback_url, "apply_text_normalization": apply_text_normalization, }, headers={ "content-type": "application/json", "safety-identifier": str(safety_identifier) if safety_identifier is not None else None, }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( PodcastProjectResponseModel, construct_type( type_=PodcastProjectResponseModel, # type: ignore object_=_response.json(), ), ) return HttpResponse(response=_response, data=_data) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( HttpValidationError, construct_type( type_=HttpValidationError, # type: ignore object_=_response.json(), ), ), ) _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, headers=dict(_response.headers), body=_response.text) raise ApiError(status_code=_response.status_code, headers=dict(_response.headers), body=_response_json) class AsyncRawStudioClient: def __init__(self, *, client_wrapper: AsyncClientWrapper): self._client_wrapper = client_wrapper async def create_podcast( self, *, model_id: str, mode: BodyCreatePodcastV1StudioPodcastsPostMode, source: BodyCreatePodcastV1StudioPodcastsPostSource, safety_identifier: typing.Optional[str] = None, quality_preset: typing.Optional[BodyCreatePodcastV1StudioPodcastsPostQualityPreset] = OMIT, duration_scale: typing.Optional[BodyCreatePodcastV1StudioPodcastsPostDurationScale] = OMIT, language: typing.Optional[str] = OMIT, intro: typing.Optional[str] = OMIT, outro: typing.Optional[str] = OMIT, instructions_prompt: typing.Optional[str] = OMIT, highlights: typing.Optional[typing.Sequence[str]] = OMIT, callback_url: typing.Optional[str] = OMIT, apply_text_normalization: typing.Optional[BodyCreatePodcastV1StudioPodcastsPostApplyTextNormalization] = OMIT, request_options: typing.Optional[RequestOptions] = None, ) -> AsyncHttpResponse[PodcastProjectResponseModel]: """ Create and auto-convert a podcast project. Currently, the LLM cost is covered by us but you will still be charged for the audio generation. In the future, you will be charged for both the LLM and audio generation costs. Parameters ---------- model_id : str The ID of the model to be used for this Studio project, you can query GET /v1/models to list all available models. mode : BodyCreatePodcastV1StudioPodcastsPostMode The type of podcast to generate. Can be 'conversation', an interaction between two voices, or 'bulletin', a monologue. source : BodyCreatePodcastV1StudioPodcastsPostSource The source content for the Podcast. safety_identifier : typing.Optional[str] Used for moderation. Your workspace must be allowlisted to use this feature. quality_preset : typing.Optional[BodyCreatePodcastV1StudioPodcastsPostQualityPreset] Output quality of the generated audio. Must be one of: standard - standard output format, 128kbps with 44.1kHz sample rate. high - high quality output format, 192kbps with 44.1kHz sample rate and major improvements on our side. Using this setting increases the credit cost by 20%. ultra - ultra quality output format, 192kbps with 44.1kHz sample rate and highest improvements on our side. Using this setting increases the credit cost by 50%. ultra lossless - ultra quality output format, 705.6kbps with 44.1kHz sample rate and highest improvements on our side in a fully lossless format. Using this setting increases the credit cost by 100%. duration_scale : typing.Optional[BodyCreatePodcastV1StudioPodcastsPostDurationScale] Duration of the generated podcast. Must be one of: short - produces podcasts shorter than 3 minutes. default - produces podcasts roughly between 3-7 minutes. long - produces podcasts longer than 7 minutes. language : typing.Optional[str] An optional language of the Studio project. Two-letter language code (ISO 639-1). intro : typing.Optional[str] The intro text that will always be added to the beginning of the podcast. outro : typing.Optional[str] The outro text that will always be added to the end of the podcast. instructions_prompt : typing.Optional[str] Additional instructions prompt for the podcast generation used to adjust the podcast's style and tone. highlights : typing.Optional[typing.Sequence[str]] A brief summary or highlights of the Studio project's content, providing key points or themes. This should be between 10 and 70 characters. callback_url : typing.Optional[str] A url that will be called by our service when the Studio project is converted. Request will contain a json blob containing the status of the conversion Messages: 1. When project was converted successfully: { type: "project_conversion_status", event_timestamp: 1234567890, data: { request_id: "1234567890", project_id: "21m00Tcm4TlvDq8ikWAM", conversion_status: "success", project_snapshot_id: "22m00Tcm4TlvDq8ikMAT", error_details: None, } } 2. When project conversion failed: { type: "project_conversion_status", event_timestamp: 1234567890, data: { request_id: "1234567890", project_id: "21m00Tcm4TlvDq8ikWAM", conversion_status: "error", project_snapshot_id: None, error_details: "Error details if conversion failed" } } 3. When chapter was converted successfully: { type: "chapter_conversion_status", event_timestamp: 1234567890, data: { request_id: "1234567890", project_id: "21m00Tcm4TlvDq8ikWAM", chapter_id: "22m00Tcm4TlvDq8ikMAT", conversion_status: "success", chapter_snapshot_id: "23m00Tcm4TlvDq8ikMAV", error_details: None, } } 4. When chapter conversion failed: { type: "chapter_conversion_status", event_timestamp: 1234567890, data: { request_id: "1234567890", project_id: "21m00Tcm4TlvDq8ikWAM", chapter_id: "22m00Tcm4TlvDq8ikMAT", conversion_status: "error", chapter_snapshot_id: None, error_details: "Error details if conversion failed" } } apply_text_normalization : typing.Optional[BodyCreatePodcastV1StudioPodcastsPostApplyTextNormalization] This parameter controls text normalization with four modes: 'auto', 'on', 'apply_english' and 'off'. When set to 'auto', the system will automatically decide whether to apply text normalization (e.g., spelling out numbers). With 'on', text normalization will always be applied, while with 'off', it will be skipped. 'apply_english' is the same as 'on' but will assume that text is in English. request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- AsyncHttpResponse[PodcastProjectResponseModel] Successful Response """ _response = await self._client_wrapper.httpx_client.request( "v1/studio/podcasts", method="POST", json={ "model_id": model_id, "mode": convert_and_respect_annotation_metadata( object_=mode, annotation=BodyCreatePodcastV1StudioPodcastsPostMode, direction="write" ), "source": convert_and_respect_annotation_metadata( object_=source, annotation=BodyCreatePodcastV1StudioPodcastsPostSource, direction="write" ), "quality_preset": quality_preset, "duration_scale": duration_scale, "language": language, "intro": intro, "outro": outro, "instructions_prompt": instructions_prompt, "highlights": highlights, "callback_url": callback_url, "apply_text_normalization": apply_text_normalization, }, headers={ "content-type": "application/json", "safety-identifier": str(safety_identifier) if safety_identifier is not None else None, }, request_options=request_options, omit=OMIT, ) try: if 200 <= _response.status_code < 300: _data = typing.cast( PodcastProjectResponseModel, construct_type( type_=PodcastProjectResponseModel, # type: ignore object_=_response.json(), ), ) return AsyncHttpResponse(response=_response, data=_data) if _response.status_code == 422: raise UnprocessableEntityError( headers=dict(_response.headers), body=typing.cast( HttpValidationError, construct_type( type_=HttpValidationError, # type: ignore object_=_response.json(), ), ), ) _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, headers=dict(_response.headers), body=_response.text) raise ApiError(status_code=_response.status_code, headers=dict(_response.headers), body=_response_json)