Files
Dorod-Sky/skyvern/client/prompts/raw_client.py
2025-11-22 02:13:42 +00:00

170 lines
5.7 KiB
Python

# 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.pydantic_utilities import parse_obj_as
from ..core.request_options import RequestOptions
from ..errors.unprocessable_entity_error import UnprocessableEntityError
from ..types.improve_prompt_response import ImprovePromptResponse
# this is used as the default value for optional parameters
OMIT = typing.cast(typing.Any, ...)
class RawPromptsClient:
def __init__(self, *, client_wrapper: SyncClientWrapper):
self._client_wrapper = client_wrapper
def improve_prompt(
self,
*,
use_case: str,
prompt: str,
context: typing.Optional[str] = OMIT,
request_options: typing.Optional[RequestOptions] = None,
) -> HttpResponse[ImprovePromptResponse]:
"""
Improve a prompt based on a specific use-case
Parameters
----------
use_case : str
The use-case for prompt improvement
prompt : str
The original prompt to improve
context : typing.Optional[str]
Additional context about the user's needs
request_options : typing.Optional[RequestOptions]
Request-specific configuration.
Returns
-------
HttpResponse[ImprovePromptResponse]
Successful Response
"""
_response = self._client_wrapper.httpx_client.request(
"v1/prompts/improve",
method="POST",
params={
"use-case": use_case,
},
json={
"context": context,
"prompt": prompt,
},
headers={
"content-type": "application/json",
},
request_options=request_options,
omit=OMIT,
)
try:
if 200 <= _response.status_code < 300:
_data = typing.cast(
ImprovePromptResponse,
parse_obj_as(
type_=ImprovePromptResponse, # 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(
typing.Optional[typing.Any],
parse_obj_as(
type_=typing.Optional[typing.Any], # 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 AsyncRawPromptsClient:
def __init__(self, *, client_wrapper: AsyncClientWrapper):
self._client_wrapper = client_wrapper
async def improve_prompt(
self,
*,
use_case: str,
prompt: str,
context: typing.Optional[str] = OMIT,
request_options: typing.Optional[RequestOptions] = None,
) -> AsyncHttpResponse[ImprovePromptResponse]:
"""
Improve a prompt based on a specific use-case
Parameters
----------
use_case : str
The use-case for prompt improvement
prompt : str
The original prompt to improve
context : typing.Optional[str]
Additional context about the user's needs
request_options : typing.Optional[RequestOptions]
Request-specific configuration.
Returns
-------
AsyncHttpResponse[ImprovePromptResponse]
Successful Response
"""
_response = await self._client_wrapper.httpx_client.request(
"v1/prompts/improve",
method="POST",
params={
"use-case": use_case,
},
json={
"context": context,
"prompt": prompt,
},
headers={
"content-type": "application/json",
},
request_options=request_options,
omit=OMIT,
)
try:
if 200 <= _response.status_code < 300:
_data = typing.cast(
ImprovePromptResponse,
parse_obj_as(
type_=ImprovePromptResponse, # 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(
typing.Optional[typing.Any],
parse_obj_as(
type_=typing.Optional[typing.Any], # 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)