Skip to main content

No project description provided

Project description

Relevance AI

A simple chain

1. Install and login

Install:

pip install relevanceai

Log in and create a project and api key:

import relevanceai as rai
rai.login()

or if you are in an automated environment, set these environment variables:

RELEVANCE_API_KEY=XXXX

2. Getting started

chain = rai.create(
    name = "My chain",
    description = "The greatest chain"
)

3. Add steps to the chain

Create a step for the chain

step = PromptCompletion(
    prompt="Hello world",
)

You can run and test the individual step.

step.run()

Once you are comfortable with the step you can add it by

chain.add(step)

4. Run and test the chain

Run the chain

chain.run()

5. Configuring output

By default it'll return the full state and all outputs from each step. You can control it by:

chain.set_output(["answer"])

A chain with flexible inputs

1. Give your chain flexible inputs

Add input parameters

chain = rai.create(
    name = "My chain",
    description = "The greatest chain"
    parameters = {
        "name" : {"type" : "string"}
    }
)

2. Define the parameters inside a step

step = PromptCompletion(
    prompt="Hello world my name is ${name}",
)

Project details


Download files

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

Source Distribution

relevanceai-chains-1.0.1.tar.gz (9.9 kB view details)

Uploaded Source

Built Distribution

relevanceai_chains-1.0.1-py3-none-any.whl (14.0 kB view details)

Uploaded Python 3

File details

Details for the file relevanceai-chains-1.0.1.tar.gz.

File metadata

  • Download URL: relevanceai-chains-1.0.1.tar.gz
  • Upload date:
  • Size: 9.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for relevanceai-chains-1.0.1.tar.gz
Algorithm Hash digest
SHA256 5fffc6e1f28c74f7bb85b98237373877a772ac873ef34327e9d205b7891568fd
MD5 b0abe4f0651821553fa8b18ea3ec8653
BLAKE2b-256 38dcb8c9acdec5a7b5745cff42e4cd1955ddd3fa741a86819c7bf675de6f8a83

See more details on using hashes here.

File details

Details for the file relevanceai_chains-1.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for relevanceai_chains-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 3373cc3d7290853fa033a9938c853eb30b9a1c61d5dc0f5135191a6324f1de5a
MD5 6af60934ad9f8813518436503294db60
BLAKE2b-256 0cd660ffd3dd2ddfdd49a1a529e898bee1bc37cb4997a107dadba7f2f910bda7

See more details on using hashes here.

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