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Unique FinanceGPT offers a specialised solution crafted for the financial sector, aimed at boosting productivity by leveraging AI and ChatGPT technologies to automate tasks traditionally done manually.

The Unique Python SDK grants access to the public API of FinanceGPT and includes features for verifying Webhook signatures, confirming the legitimacy of incoming Webhook requests.

Package

A full guide can be found on the Python Package Index.

https://pypi.org/project/unique-sdk/

Deploying the SDK

This diagram depicts the general principle of how the SDK can be deployed and operated. Generally, it does not matter which setup is chosen. An example implementation can be seen in Hosted SDK.

Clients can also self-host modules with the SDK on any hyperscaler or even on-premise. The generic process that is modelled above includes five key components:

Component

Function

Examples

A code repository

Developers develop the module and then iterate it

Most of these tools allow enforcing four-eye principles for developing and deploying separately

GitHub

GitLab

Bitbucket

On premise Git solution

Automation

Runs tests and checks, builds the image, ships it to a registry and triggers a deployment

GitHub Actions

GitLab CI Runners

Bitbucket Pipelines

Jenkins

Container Registry

Stores immutable versions of the modules

Azure Container Registry

DockerHub

Container-running infrastructure

Since its only a docker image, it can be ran literally nearly everywhere, the only requirement being able to run container images.

Azure Container Apps

Azure Functions

AWS Lambda

Google Kubernetes Engine

etc.

Unique

Calls the modules

Deployment models

Is this whole setup needed?

No, clients can run Python code where they fancy. Above is a reference architecture. Clients can run it on a Raspberry Pi in a basement on a mountain, even though Unique recommends the setup above.

Unique-hosted SDK

For certain clients Unique offers hosting for self-developed modules using the SDK, learn more at

Hosted SDK.


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