# This file was auto-generated by Fern from our API Definition. import typing import urllib.parse from json.decoder import JSONDecodeError from ...core.api_error import ApiError from ...core.client_wrapper import AsyncClientWrapper, SyncClientWrapper from ...core.jsonable_encoder import jsonable_encoder from ...core.pydantic_utilities import pydantic_v1 from ...core.remove_none_from_dict import remove_none_from_dict from ...core.request_options import RequestOptions from ..commons.errors.access_denied_error import AccessDeniedError from ..commons.errors.error import Error from ..commons.errors.method_not_allowed_error import MethodNotAllowedError from ..commons.errors.not_found_error import NotFoundError from ..commons.errors.unauthorized_error import UnauthorizedError from ..commons.types.model import Model from .types.create_model_request import CreateModelRequest from .types.paginated_models import PaginatedModels # this is used as the default value for optional parameters OMIT = typing.cast(typing.Any, ...) class ModelsClient: def __init__(self, *, client_wrapper: SyncClientWrapper): self._client_wrapper = client_wrapper def create( self, *, request: CreateModelRequest, request_options: typing.Optional[RequestOptions] = None, ) -> Model: """ Create a model Parameters: - request: CreateModelRequest. - request_options: typing.Optional[RequestOptions]. Request-specific configuration. --- import datetime from finto import CreateModelRequest, ModelUsageUnit from finto.client import FernLangfuse client = FernLangfuse( x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME", x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION", x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY", username="YOUR_USERNAME", password="YOUR_PASSWORD", base_url="https://yourhost.com/path/to/api", ) client.models.create( request=CreateModelRequest( model_name="string", match_pattern="string", start_date=datetime.date.fromisoformat( "2023-01-15", ), unit=ModelUsageUnit.CHARACTERS, input_price=1.1, output_price=1.1, total_price=1.1, tokenizer_id="string", tokenizer_config={"key": "value"}, ), ) """ _response = self._client_wrapper.httpx_client.request( "POST", urllib.parse.urljoin( f"{self._client_wrapper.get_base_url()}/", "api/public/models" ), params=jsonable_encoder( request_options.get("additional_query_parameters") if request_options is not None else None ), json=jsonable_encoder(request) if request_options is None or request_options.get("additional_body_parameters") is None else { **jsonable_encoder(request), **( jsonable_encoder( remove_none_from_dict( request_options.get("additional_body_parameters", {}) ) ) ), }, headers=jsonable_encoder( remove_none_from_dict( { **self._client_wrapper.get_headers(), **( request_options.get("additional_headers", {}) if request_options is not None else {} ), } ) ), timeout=request_options.get("timeout_in_seconds") if request_options is not None and request_options.get("timeout_in_seconds") is not None else self._client_wrapper.get_timeout(), retries=0, max_retries=request_options.get("max_retries") if request_options is not None else 0, # type: ignore ) if 200 <= _response.status_code < 300: return pydantic_v1.parse_obj_as(Model, _response.json()) # type: ignore if _response.status_code == 400: raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore if _response.status_code == 401: raise UnauthorizedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 403: raise AccessDeniedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 405: raise MethodNotAllowedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 404: raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore try: _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, body=_response.text) raise ApiError(status_code=_response.status_code, body=_response_json) def list( self, *, page: typing.Optional[int] = None, limit: typing.Optional[int] = None, request_options: typing.Optional[RequestOptions] = None, ) -> PaginatedModels: """ Get all models Parameters: - page: typing.Optional[int]. page number, starts at 1 - limit: typing.Optional[int]. limit of items per page - request_options: typing.Optional[RequestOptions]. Request-specific configuration. --- from finto.client import FernLangfuse client = FernLangfuse( x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME", x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION", x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY", username="YOUR_USERNAME", password="YOUR_PASSWORD", base_url="https://yourhost.com/path/to/api", ) client.models.list( page=1, limit=1, ) """ _response = self._client_wrapper.httpx_client.request( "GET", urllib.parse.urljoin( f"{self._client_wrapper.get_base_url()}/", "api/public/models" ), params=jsonable_encoder( remove_none_from_dict( { "page": page, "limit": limit, **( request_options.get("additional_query_parameters", {}) if request_options is not None else {} ), } ) ), headers=jsonable_encoder( remove_none_from_dict( { **self._client_wrapper.get_headers(), **( request_options.get("additional_headers", {}) if request_options is not None else {} ), } ) ), timeout=request_options.get("timeout_in_seconds") if request_options is not None and request_options.get("timeout_in_seconds") is not None else self._client_wrapper.get_timeout(), retries=0, max_retries=request_options.get("max_retries") if request_options is not None else 0, # type: ignore ) if 200 <= _response.status_code < 300: return pydantic_v1.parse_obj_as(PaginatedModels, _response.json()) # type: ignore if _response.status_code == 400: raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore if _response.status_code == 401: raise UnauthorizedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 403: raise AccessDeniedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 405: raise MethodNotAllowedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 404: raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore try: _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, body=_response.text) raise ApiError(status_code=_response.status_code, body=_response_json) def get( self, id: str, *, request_options: typing.Optional[RequestOptions] = None ) -> Model: """ Get a model Parameters: - id: str. - request_options: typing.Optional[RequestOptions]. Request-specific configuration. --- from finto.client import FernLangfuse client = FernLangfuse( x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME", x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION", x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY", username="YOUR_USERNAME", password="YOUR_PASSWORD", base_url="https://yourhost.com/path/to/api", ) client.models.get( id="string", ) """ _response = self._client_wrapper.httpx_client.request( "GET", urllib.parse.urljoin( f"{self._client_wrapper.get_base_url()}/", f"api/public/models/{jsonable_encoder(id)}", ), params=jsonable_encoder( request_options.get("additional_query_parameters") if request_options is not None else None ), headers=jsonable_encoder( remove_none_from_dict( { **self._client_wrapper.get_headers(), **( request_options.get("additional_headers", {}) if request_options is not None else {} ), } ) ), timeout=request_options.get("timeout_in_seconds") if request_options is not None and request_options.get("timeout_in_seconds") is not None else self._client_wrapper.get_timeout(), retries=0, max_retries=request_options.get("max_retries") if request_options is not None else 0, # type: ignore ) if 200 <= _response.status_code < 300: return pydantic_v1.parse_obj_as(Model, _response.json()) # type: ignore if _response.status_code == 400: raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore if _response.status_code == 401: raise UnauthorizedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 403: raise AccessDeniedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 405: raise MethodNotAllowedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 404: raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore try: _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, body=_response.text) raise ApiError(status_code=_response.status_code, body=_response_json) def delete( self, id: str, *, request_options: typing.Optional[RequestOptions] = None ) -> None: """ Delete a model. Cannot delete models managed by Langfuse. You can create your own definition with the same modelName to override the definition though. Parameters: - id: str. - request_options: typing.Optional[RequestOptions]. Request-specific configuration. --- from finto.client import FernLangfuse client = FernLangfuse( x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME", x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION", x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY", username="YOUR_USERNAME", password="YOUR_PASSWORD", base_url="https://yourhost.com/path/to/api", ) client.models.delete( id="string", ) """ _response = self._client_wrapper.httpx_client.request( "DELETE", urllib.parse.urljoin( f"{self._client_wrapper.get_base_url()}/", f"api/public/models/{jsonable_encoder(id)}", ), params=jsonable_encoder( request_options.get("additional_query_parameters") if request_options is not None else None ), headers=jsonable_encoder( remove_none_from_dict( { **self._client_wrapper.get_headers(), **( request_options.get("additional_headers", {}) if request_options is not None else {} ), } ) ), timeout=request_options.get("timeout_in_seconds") if request_options is not None and request_options.get("timeout_in_seconds") is not None else self._client_wrapper.get_timeout(), retries=0, max_retries=request_options.get("max_retries") if request_options is not None else 0, # type: ignore ) if 200 <= _response.status_code < 300: return if _response.status_code == 400: raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore if _response.status_code == 401: raise UnauthorizedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 403: raise AccessDeniedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 405: raise MethodNotAllowedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 404: raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore try: _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, body=_response.text) raise ApiError(status_code=_response.status_code, body=_response_json) class AsyncModelsClient: def __init__(self, *, client_wrapper: AsyncClientWrapper): self._client_wrapper = client_wrapper async def create( self, *, request: CreateModelRequest, request_options: typing.Optional[RequestOptions] = None, ) -> Model: """ Create a model Parameters: - request: CreateModelRequest. - request_options: typing.Optional[RequestOptions]. Request-specific configuration. --- import datetime from finto import CreateModelRequest, ModelUsageUnit from finto.client import AsyncFernLangfuse client = AsyncFernLangfuse( x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME", x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION", x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY", username="YOUR_USERNAME", password="YOUR_PASSWORD", base_url="https://yourhost.com/path/to/api", ) await client.models.create( request=CreateModelRequest( model_name="string", match_pattern="string", start_date=datetime.date.fromisoformat( "2023-01-15", ), unit=ModelUsageUnit.CHARACTERS, input_price=1.1, output_price=1.1, total_price=1.1, tokenizer_id="string", tokenizer_config={"key": "value"}, ), ) """ _response = await self._client_wrapper.httpx_client.request( "POST", urllib.parse.urljoin( f"{self._client_wrapper.get_base_url()}/", "api/public/models" ), params=jsonable_encoder( request_options.get("additional_query_parameters") if request_options is not None else None ), json=jsonable_encoder(request) if request_options is None or request_options.get("additional_body_parameters") is None else { **jsonable_encoder(request), **( jsonable_encoder( remove_none_from_dict( request_options.get("additional_body_parameters", {}) ) ) ), }, headers=jsonable_encoder( remove_none_from_dict( { **self._client_wrapper.get_headers(), **( request_options.get("additional_headers", {}) if request_options is not None else {} ), } ) ), timeout=request_options.get("timeout_in_seconds") if request_options is not None and request_options.get("timeout_in_seconds") is not None else self._client_wrapper.get_timeout(), retries=0, max_retries=request_options.get("max_retries") if request_options is not None else 0, # type: ignore ) if 200 <= _response.status_code < 300: return pydantic_v1.parse_obj_as(Model, _response.json()) # type: ignore if _response.status_code == 400: raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore if _response.status_code == 401: raise UnauthorizedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 403: raise AccessDeniedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 405: raise MethodNotAllowedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 404: raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore try: _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, body=_response.text) raise ApiError(status_code=_response.status_code, body=_response_json) async def list( self, *, page: typing.Optional[int] = None, limit: typing.Optional[int] = None, request_options: typing.Optional[RequestOptions] = None, ) -> PaginatedModels: """ Get all models Parameters: - page: typing.Optional[int]. page number, starts at 1 - limit: typing.Optional[int]. limit of items per page - request_options: typing.Optional[RequestOptions]. Request-specific configuration. --- from finto.client import AsyncFernLangfuse client = AsyncFernLangfuse( x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME", x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION", x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY", username="YOUR_USERNAME", password="YOUR_PASSWORD", base_url="https://yourhost.com/path/to/api", ) await client.models.list( page=1, limit=1, ) """ _response = await self._client_wrapper.httpx_client.request( "GET", urllib.parse.urljoin( f"{self._client_wrapper.get_base_url()}/", "api/public/models" ), params=jsonable_encoder( remove_none_from_dict( { "page": page, "limit": limit, **( request_options.get("additional_query_parameters", {}) if request_options is not None else {} ), } ) ), headers=jsonable_encoder( remove_none_from_dict( { **self._client_wrapper.get_headers(), **( request_options.get("additional_headers", {}) if request_options is not None else {} ), } ) ), timeout=request_options.get("timeout_in_seconds") if request_options is not None and request_options.get("timeout_in_seconds") is not None else self._client_wrapper.get_timeout(), retries=0, max_retries=request_options.get("max_retries") if request_options is not None else 0, # type: ignore ) if 200 <= _response.status_code < 300: return pydantic_v1.parse_obj_as(PaginatedModels, _response.json()) # type: ignore if _response.status_code == 400: raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore if _response.status_code == 401: raise UnauthorizedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 403: raise AccessDeniedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 405: raise MethodNotAllowedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 404: raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore try: _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, body=_response.text) raise ApiError(status_code=_response.status_code, body=_response_json) async def get( self, id: str, *, request_options: typing.Optional[RequestOptions] = None ) -> Model: """ Get a model Parameters: - id: str. - request_options: typing.Optional[RequestOptions]. Request-specific configuration. --- from finto.client import AsyncFernLangfuse client = AsyncFernLangfuse( x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME", x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION", x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY", username="YOUR_USERNAME", password="YOUR_PASSWORD", base_url="https://yourhost.com/path/to/api", ) await client.models.get( id="string", ) """ _response = await self._client_wrapper.httpx_client.request( "GET", urllib.parse.urljoin( f"{self._client_wrapper.get_base_url()}/", f"api/public/models/{jsonable_encoder(id)}", ), params=jsonable_encoder( request_options.get("additional_query_parameters") if request_options is not None else None ), headers=jsonable_encoder( remove_none_from_dict( { **self._client_wrapper.get_headers(), **( request_options.get("additional_headers", {}) if request_options is not None else {} ), } ) ), timeout=request_options.get("timeout_in_seconds") if request_options is not None and request_options.get("timeout_in_seconds") is not None else self._client_wrapper.get_timeout(), retries=0, max_retries=request_options.get("max_retries") if request_options is not None else 0, # type: ignore ) if 200 <= _response.status_code < 300: return pydantic_v1.parse_obj_as(Model, _response.json()) # type: ignore if _response.status_code == 400: raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore if _response.status_code == 401: raise UnauthorizedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 403: raise AccessDeniedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 405: raise MethodNotAllowedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 404: raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore try: _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, body=_response.text) raise ApiError(status_code=_response.status_code, body=_response_json) async def delete( self, id: str, *, request_options: typing.Optional[RequestOptions] = None ) -> None: """ Delete a model. Cannot delete models managed by Langfuse. You can create your own definition with the same modelName to override the definition though. Parameters: - id: str. - request_options: typing.Optional[RequestOptions]. Request-specific configuration. --- from finto.client import AsyncFernLangfuse client = AsyncFernLangfuse( x_langfuse_sdk_name="YOUR_X_LANGFUSE_SDK_NAME", x_langfuse_sdk_version="YOUR_X_LANGFUSE_SDK_VERSION", x_langfuse_public_key="YOUR_X_LANGFUSE_PUBLIC_KEY", username="YOUR_USERNAME", password="YOUR_PASSWORD", base_url="https://yourhost.com/path/to/api", ) await client.models.delete( id="string", ) """ _response = await self._client_wrapper.httpx_client.request( "DELETE", urllib.parse.urljoin( f"{self._client_wrapper.get_base_url()}/", f"api/public/models/{jsonable_encoder(id)}", ), params=jsonable_encoder( request_options.get("additional_query_parameters") if request_options is not None else None ), headers=jsonable_encoder( remove_none_from_dict( { **self._client_wrapper.get_headers(), **( request_options.get("additional_headers", {}) if request_options is not None else {} ), } ) ), timeout=request_options.get("timeout_in_seconds") if request_options is not None and request_options.get("timeout_in_seconds") is not None else self._client_wrapper.get_timeout(), retries=0, max_retries=request_options.get("max_retries") if request_options is not None else 0, # type: ignore ) if 200 <= _response.status_code < 300: return if _response.status_code == 400: raise Error(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore if _response.status_code == 401: raise UnauthorizedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 403: raise AccessDeniedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 405: raise MethodNotAllowedError( pydantic_v1.parse_obj_as(typing.Any, _response.json()) ) # type: ignore if _response.status_code == 404: raise NotFoundError(pydantic_v1.parse_obj_as(typing.Any, _response.json())) # type: ignore try: _response_json = _response.json() except JSONDecodeError: raise ApiError(status_code=_response.status_code, body=_response.text) raise ApiError(status_code=_response.status_code, body=_response_json)
Memory