AsyncCompletions Class — anthropic-sdk-python Architecture

Architecture documentation for the AsyncCompletions class in completions.py from the anthropic-sdk-python codebase.

Class python AnthropicClient

Entity Profile

AnthropicClient→ AsyncCompletions Class — anthropic-sdk-python Architecture

Dependency Diagram

graph TD
  239057dd_0ecb_e90d_0d61_ae3f0bfadde4["AsyncCompletions"]
  f98629a5_73f4_23f2_1f7f_c8db837848d1["AsyncAPIResource"]
  239057dd_0ecb_e90d_0d61_ae3f0bfadde4 -->|extends| f98629a5_73f4_23f2_1f7f_c8db837848d1
  f5340606_93f4_b0e0_a723_bb2136763e51["completions.py"]
  239057dd_0ecb_e90d_0d61_ae3f0bfadde4 -->|defined in| f5340606_93f4_b0e0_a723_bb2136763e51
  b85740cf_acfb_13af_8c4d_20f22920c4b1["with_raw_response()"]
  239057dd_0ecb_e90d_0d61_ae3f0bfadde4 -->|method| b85740cf_acfb_13af_8c4d_20f22920c4b1
  7d14b601_aec7_1ecc_e441_032a31e50410["with_streaming_response()"]
  239057dd_0ecb_e90d_0d61_ae3f0bfadde4 -->|method| 7d14b601_aec7_1ecc_e441_032a31e50410
  9c317a4f_95bc_c2b1_0575_0c4abd5aa170["create()"]
  239057dd_0ecb_e90d_0d61_ae3f0bfadde4 -->|method| 9c317a4f_95bc_c2b1_0575_0c4abd5aa170

Relationship Graph

Source Code

src/anthropic/resources/completions.py lines 420–809

class AsyncCompletions(AsyncAPIResource):
    @cached_property
    def with_raw_response(self) -> AsyncCompletionsWithRawResponse:
        """
        This property can be used as a prefix for any HTTP method call to return
        the raw response object instead of the parsed content.

        For more information, see https://www.github.com/anthropics/anthropic-sdk-python#accessing-raw-response-data-eg-headers
        """
        return AsyncCompletionsWithRawResponse(self)

    @cached_property
    def with_streaming_response(self) -> AsyncCompletionsWithStreamingResponse:
        """
        An alternative to `.with_raw_response` that doesn't eagerly read the response body.

        For more information, see https://www.github.com/anthropics/anthropic-sdk-python#with_streaming_response
        """
        return AsyncCompletionsWithStreamingResponse(self)

    @overload
    async def create(
        self,
        *,
        max_tokens_to_sample: int,
        model: ModelParam,
        prompt: str,
        metadata: MetadataParam | Omit = omit,
        stop_sequences: SequenceNotStr[str] | Omit = omit,
        stream: Literal[False] | Omit = omit,
        temperature: float | Omit = omit,
        top_k: int | Omit = omit,
        top_p: float | Omit = omit,
        betas: List[AnthropicBetaParam] | Omit = omit,
        # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
        # The extra values given here take precedence over values defined on the client or passed to this method.
        extra_headers: Headers | None = None,
        extra_query: Query | None = None,
        extra_body: Body | None = None,
        timeout: float | httpx.Timeout | None | NotGiven = not_given,
    ) -> Completion:
        """[Legacy] Create a Text Completion.

        The Text Completions API is a legacy API.

        We recommend using the
        [Messages API](https://docs.claude.com/en/api/messages) going forward.

        Future models and features will not be compatible with Text Completions. See our
        [migration guide](https://docs.claude.com/en/api/migrating-from-text-completions-to-messages)
        for guidance in migrating from Text Completions to Messages.

        Args:
          max_tokens_to_sample: The maximum number of tokens to generate before stopping.

              Note that our models may stop _before_ reaching this maximum. This parameter
              only specifies the absolute maximum number of tokens to generate.

          model: The model that will complete your prompt.\n\nSee
              [models](https://docs.anthropic.com/en/docs/models-overview) for additional
              details and options.

          prompt: The prompt that you want Claude to complete.

              For proper response generation you will need to format your prompt using
              alternating `\n\nHuman:` and `\n\nAssistant:` conversational turns. For example:

              ```
              "\n\nHuman: {userQuestion}\n\nAssistant:"
              ```

              See [prompt validation](https://docs.claude.com/en/api/prompt-validation) and
              our guide to [prompt design](https://docs.claude.com/en/docs/intro-to-prompting)
              for more details.

          metadata: An object describing metadata about the request.

          stop_sequences: Sequences that will cause the model to stop generating.

              Our models stop on `"\n\nHuman:"`, and may include additional built-in stop
              sequences in the future. By providing the stop_sequences parameter, you may