Welcome to aleph-alpha-client’s documentation!
Python client for the Aleph Alpha API.
Usage
Synchronous client.
from aleph_alpha_client import Client, CompletionRequest, Prompt
import os
client = Client(token=os.getenv("AA_TOKEN"))
prompt = Prompt.from_text("Provide a short description of AI:")
request = CompletionRequest(prompt=prompt, maximum_tokens=20)
result = client.complete(request, model="luminous-extended")
print(result.completions[0].completion)
Asynchronous client.
import os
from aleph_alpha_client import AsyncClient, CompletionRequest, Prompt
# Can enter context manager within an async function
async with AsyncClient(token=os.environ["AA_TOKEN"]) as client:
request = CompletionRequest(
prompt=Prompt.from_text("Request"),
maximum_tokens=64,
)
response = await client.complete(request, model="luminous-base")
Contents:
- aleph_alpha_client
- aleph_alpha_client package
- Module contents
AsyncClientClientCompletionRequestCompletionResponseControlTokenOverlapCustomGranularityDetokenizationRequestDetokenizationResponseDocumentEmbeddingRequestEmbeddingResponseEvaluationRequestEvaluationResponseExplanationExplanationPostprocessingExplanationRequestExplanationResponseImageImageControlImagePromptItemExplanationImageScorePromptQaRequestQaResponseQuotaErrorSearchRequestSearchResponseSearchResultSemanticEmbeddingRequestSemanticEmbeddingResponseSemanticRepresentationSummarizationRequestSummarizationResponseTargetGranularityTargetPromptItemExplanationTargetScoreTextTextControlTextPromptItemExplanationTextScoreTokenControlTokenPromptItemExplanationTokenScoreTokenizationRequestTokenizationResponseTokens
- Module contents
- aleph_alpha_client package