feat: add psagentai agent with deployment and configuration
Initial project setup including the main agent script, configuration files, profile JSON state, systemd service unit, startup script, deployment documentation, and Python dependencies. Includes .env, venv/, and __pycache__/ which should likely be excluded via .gitignore to avoid committing secrets and artifacts.
This commit is contained in:
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# File generated from our OpenAPI spec by Stainless.
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from __future__ import annotations
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from typing import Union, Mapping, cast
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from typing_extensions import Literal
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import httpx
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from ... import _legacy_response
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from ..._types import NOT_GIVEN, Body, Query, Headers, NotGiven, FileTypes
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from ..._utils import extract_files, maybe_transform, deepcopy_minimal
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from ..._compat import cached_property
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from ..._resource import SyncAPIResource, AsyncAPIResource
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from ..._response import to_streamed_response_wrapper, async_to_streamed_response_wrapper
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from ...types.audio import Translation, translation_create_params
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from ..._base_client import (
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make_request_options,
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)
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__all__ = ["Translations", "AsyncTranslations"]
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class Translations(SyncAPIResource):
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@cached_property
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def with_raw_response(self) -> TranslationsWithRawResponse:
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return TranslationsWithRawResponse(self)
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@cached_property
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def with_streaming_response(self) -> TranslationsWithStreamingResponse:
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return TranslationsWithStreamingResponse(self)
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def create(
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self,
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*,
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file: FileTypes,
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model: Union[str, Literal["whisper-1"]],
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prompt: str | NotGiven = NOT_GIVEN,
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response_format: str | NotGiven = NOT_GIVEN,
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temperature: float | NotGiven = NOT_GIVEN,
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# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
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# The extra values given here take precedence over values defined on the client or passed to this method.
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extra_headers: Headers | None = None,
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extra_query: Query | None = None,
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extra_body: Body | None = None,
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timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
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) -> Translation:
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"""
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Translates audio into English.
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Args:
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file: The audio file object (not file name) translate, in one of these formats: flac,
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mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
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model: ID of the model to use. Only `whisper-1` is currently available.
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prompt: An optional text to guide the model's style or continue a previous audio
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segment. The
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[prompt](https://platform.openai.com/docs/guides/speech-to-text/prompting)
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should be in English.
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response_format: The format of the transcript output, in one of these options: `json`, `text`,
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`srt`, `verbose_json`, or `vtt`.
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temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
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output more random, while lower values like 0.2 will make it more focused and
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deterministic. If set to 0, the model will use
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[log probability](https://en.wikipedia.org/wiki/Log_probability) to
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automatically increase the temperature until certain thresholds are hit.
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extra_headers: Send extra headers
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extra_query: Add additional query parameters to the request
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extra_body: Add additional JSON properties to the request
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timeout: Override the client-level default timeout for this request, in seconds
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"""
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body = deepcopy_minimal(
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{
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"file": file,
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"model": model,
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"prompt": prompt,
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"response_format": response_format,
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"temperature": temperature,
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}
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)
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files = extract_files(cast(Mapping[str, object], body), paths=[["file"]])
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if files:
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# It should be noted that the actual Content-Type header that will be
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# sent to the server will contain a `boundary` parameter, e.g.
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# multipart/form-data; boundary=---abc--
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extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
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return self._post(
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"/audio/translations",
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body=maybe_transform(body, translation_create_params.TranslationCreateParams),
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files=files,
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options=make_request_options(
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extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
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),
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cast_to=Translation,
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)
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class AsyncTranslations(AsyncAPIResource):
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@cached_property
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def with_raw_response(self) -> AsyncTranslationsWithRawResponse:
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return AsyncTranslationsWithRawResponse(self)
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@cached_property
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def with_streaming_response(self) -> AsyncTranslationsWithStreamingResponse:
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return AsyncTranslationsWithStreamingResponse(self)
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async def create(
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self,
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*,
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file: FileTypes,
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model: Union[str, Literal["whisper-1"]],
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prompt: str | NotGiven = NOT_GIVEN,
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response_format: str | NotGiven = NOT_GIVEN,
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temperature: float | NotGiven = NOT_GIVEN,
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# Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
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# The extra values given here take precedence over values defined on the client or passed to this method.
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extra_headers: Headers | None = None,
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extra_query: Query | None = None,
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extra_body: Body | None = None,
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timeout: float | httpx.Timeout | None | NotGiven = NOT_GIVEN,
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) -> Translation:
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"""
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Translates audio into English.
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Args:
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file: The audio file object (not file name) translate, in one of these formats: flac,
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mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
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model: ID of the model to use. Only `whisper-1` is currently available.
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prompt: An optional text to guide the model's style or continue a previous audio
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segment. The
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[prompt](https://platform.openai.com/docs/guides/speech-to-text/prompting)
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should be in English.
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response_format: The format of the transcript output, in one of these options: `json`, `text`,
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`srt`, `verbose_json`, or `vtt`.
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temperature: The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
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output more random, while lower values like 0.2 will make it more focused and
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deterministic. If set to 0, the model will use
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[log probability](https://en.wikipedia.org/wiki/Log_probability) to
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automatically increase the temperature until certain thresholds are hit.
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extra_headers: Send extra headers
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extra_query: Add additional query parameters to the request
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extra_body: Add additional JSON properties to the request
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timeout: Override the client-level default timeout for this request, in seconds
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"""
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body = deepcopy_minimal(
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{
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"file": file,
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"model": model,
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"prompt": prompt,
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"response_format": response_format,
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"temperature": temperature,
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}
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)
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files = extract_files(cast(Mapping[str, object], body), paths=[["file"]])
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if files:
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# It should be noted that the actual Content-Type header that will be
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# sent to the server will contain a `boundary` parameter, e.g.
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# multipart/form-data; boundary=---abc--
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extra_headers = {"Content-Type": "multipart/form-data", **(extra_headers or {})}
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return await self._post(
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"/audio/translations",
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body=maybe_transform(body, translation_create_params.TranslationCreateParams),
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files=files,
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options=make_request_options(
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extra_headers=extra_headers, extra_query=extra_query, extra_body=extra_body, timeout=timeout
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),
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cast_to=Translation,
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)
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class TranslationsWithRawResponse:
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def __init__(self, translations: Translations) -> None:
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self._translations = translations
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self.create = _legacy_response.to_raw_response_wrapper(
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translations.create,
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)
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class AsyncTranslationsWithRawResponse:
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def __init__(self, translations: AsyncTranslations) -> None:
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self._translations = translations
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self.create = _legacy_response.async_to_raw_response_wrapper(
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translations.create,
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)
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class TranslationsWithStreamingResponse:
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def __init__(self, translations: Translations) -> None:
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self._translations = translations
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self.create = to_streamed_response_wrapper(
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translations.create,
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)
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class AsyncTranslationsWithStreamingResponse:
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def __init__(self, translations: AsyncTranslations) -> None:
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self._translations = translations
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self.create = async_to_streamed_response_wrapper(
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translations.create,
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)
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