Aleph Alpha Client
Python client for the Aleph Alpha API.
Usage
Synchronous Client
import os
from aleph_alpha_client import Client, CompletionRequest, Prompt
client = Client(token=os.getenv("AA_TOKEN"))
request = CompletionRequest(
prompt=Prompt.from_text("Provide a short description of AI:"),
maximum_tokens=64,
)
response = client.complete(request, model="luminous-extended")
print(response.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("Provide a short description of AI:"),
maximum_tokens=64,
)
response = await client.complete(request, model="luminous-base")
print(response.completions[0].completion)
Interactive Examples
This table contains interactive code examples, further exercises can be found in the examples repository.
| Template | Description | Internal Link | Colab Link |
|---|---|---|---|
| 1 | Calling the API | Template 1 |  |
| 2 | Simple completion | Template 2 | |
| 3 | Simple search | Template 3 | |
| 4 | Symmetric and Asymmetric Search | Template 4 | |
| 5 | Hidden Embeddings | Template 5 | |
| 6 | Task-specific Endpoints | Template 6 | |
Installation
The latest stable version is deployed to PyPi so you can install this package via pip.
pip install aleph-alpha-client
Get started using the client by first creating an account. Afterwards head over to your profile to create an API token. Read more about how you can manage your API tokens here.
Links
1 maintainer
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