Skip to main content

No project description provided

Project description

Vellum Python Library

pypi license badge fern shield

The Vellum Python SDK provides access to the Vellum API from python.

API Docs

You can find Vellum's complete API docs at docs.vellum.ai.

Installation

pip install --upgrade vellum-ai

Usage

Below is how you would invoke a deployed Prompt from the Vellum API. For a complete list of all APIs that Vellum supports, check out our API Reference.

from vellum import (
    StringInputRequest,
)
from vellum.client import Vellum

client = Vellum(
    api_key="YOUR_API_KEY",
)

def execute() -> str:
    result = client.execute_prompt(
        prompt_deployment_name="<example-deployment-name>>",
        release_tag="LATEST",
        inputs=[
            StringInputRequest(
                name="input_a",
                type="STRING",
                value="Hello, world!",
            )
        ],
    )
    
    if result.state == "REJECTED":
        raise Exception(result.error.message)

    return result.outputs[0].value

if __name__ == "__main__":
    print(execute())

[!TIP] You can set a system environment variable VELLUM_API_KEY to avoid writing your api key within your code. To do so, add export VELLUM_API_KEY=<your-api-token> to your ~/.zshrc or ~/.bashrc, open a new terminal, and then any code calling vellum.Vellum() will read this key.

Async Client

This SDK has an async version. Here's how to use it:

import asyncio

import vellum
from vellum.client import AsyncVellum

client = AsyncVellum(api_key="YOUR_API_KEY")

async def execute() -> str:
    result = await client.execute_prompt(
        prompt_deployment_name="<example-deployment-name>>",
        release_tag="LATEST",
        inputs=[
            vellum.StringInputRequest(
                name="input_a",
                value="Hello, world!",
            )
        ],
    )

    if result.state == "REJECTED":
        raise Exception(result.error.message)
    
    return result.outputs[0].value

if __name__ == "__main__":
    print(asyncio.run(execute()))

Contributing

While we value open-source contributions to this SDK, most of this library is generated programmatically.

Please feel free to make contributions to any of the directories or files below:

examples/*
src/vellum/lib/*
tests/*
README.md

Any additions made to files beyond those directories and files above would have to be moved over to our generation code (found in the separate vellum-client-generator repo), otherwise they would be overwritten upon the next generated release. Feel free to open a PR as a proof of concept, but know that we will not be able to merge it as-is. We suggest opening an issue first to discuss with us!

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

vellum_ai-0.8.17.tar.gz (148.8 kB view details)

Uploaded Source

Built Distribution

vellum_ai-0.8.17-py3-none-any.whl (401.3 kB view details)

Uploaded Python 3

File details

Details for the file vellum_ai-0.8.17.tar.gz.

File metadata

  • Download URL: vellum_ai-0.8.17.tar.gz
  • Upload date:
  • Size: 148.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.8.18 Linux/5.15.0-1073-azure

File hashes

Hashes for vellum_ai-0.8.17.tar.gz
Algorithm Hash digest
SHA256 d4943c8274eb0ed068482cfcbe3399f4cdd1e9a391d117ec9d41799d60767992
MD5 004540b3c525cd37e6fd8c437bd3194a
BLAKE2b-256 891dbba5649b9f4bcb92065726e463d0460fdb9aeb97eaa865a9a55843da3547

See more details on using hashes here.

Provenance

File details

Details for the file vellum_ai-0.8.17-py3-none-any.whl.

File metadata

  • Download URL: vellum_ai-0.8.17-py3-none-any.whl
  • Upload date:
  • Size: 401.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.5.1 CPython/3.8.18 Linux/5.15.0-1073-azure

File hashes

Hashes for vellum_ai-0.8.17-py3-none-any.whl
Algorithm Hash digest
SHA256 0dedb2705ad32d0f6241f24d27b915c32d1118ab36faadd30daf387f69c3fd32
MD5 88e211d0ad0adbcd788a6560a90892b5
BLAKE2b-256 dbd6da355372945374f2baff006670e77049e7b51cf10b4e50a1daff2ef2db45

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page