Examples of integrating gpt into SAS Viya apps

This repository contains examples of integrating gpt into application targeting
SAS Viya.

The examples use gpt-4 with functions. Many of the functions use
@sassoftware/restaf, @sassoftware/restaflib and @sassoftware/restafedit to make REST API calls to SAS Viya.

!image info

The functions are small and easy to follow. Feel free to change these to suit own
programming style.

The code is in

---

Table of Contents

---

- Data Points
- Running as a cli
- Installation and setup
- Basic example
- Basic example with access to Viya

---;

Data Points

---

1. gpt-4 model is the default openai model.
- OPENAI_MODEL - To change the model, set this enviroment variable
to the desired model.
2. It is the user's reponsibility to get the api key for openai.
- The samples assume that the key is available as environment variable
OPENAI_KEY
3. Most examples make use of SAS REST API to access SAS Viya. The applications
use @sassoftware/restaf, @sassoftware/restaflib and @sassoftware/restafedit to
make these calls. See
for more information.
4. The source code in this repository is provided under
Apache-2.0 licensing model

$3

Please sas-cli auth login|logCode to setup authentication token.

$3

- OPENAI_KEY - Set this to the api key from openai
- OPENAI_MODEL - (optional) set to the model you want to use(defaults to gpt-4)
- VIYASOURCE - set this to either cas, compute or none. Defaults to cas. Used in
prompts that access Viya resources. The 'none' value is useful if you want to
use this cli as a standard chat without accessing Viya.

---

Running as a cli

---

After setting the environment variables listed above, start the application as
follows:

``text
npx @sassoftware/gpt-samples@latest

`

On the prompt, enter chat to start the gpt session

Enter help to get guidance on what is possible

The gpt session will stay active until you enter exit

To exit the cli enter exit again.

Installation and Setup

The instruction below is for those users who wish to clone the code and extend the application.

- git clone https://github.com/sassoftware/restaf-demos gpt-samples -b gpt-samples
- cd gpt-samples
- npm install
- Define the environment variables described below

Getting started - Basic example

This example demonstrates setting up access to gpt and defining a function called
basic. This function's sole purpose is to reformat user provided keywords as
html, array or JavaScript object.
The code is in ./packages/basic/index.js

$3

`text
npm run basic
`

Some sample prompt and results:

$3

`text
SAS Viya is a cloud-based, in-memory analytics engine from SAS Institute, an American multinational developer of analytics software. SAS Viya provides quick, accurate results and reveals valuable insights from large amounts of data. It's capable of machine learning, text analytics, forecasting, optimization, and statistics. It can be used through a variety of programming languages including Python, R, Java, and Lua, or through its visual interface.
`

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`text
Sure, can you provide me with the keywords you want to process?
`

$3

`javascript
[ 'a', 'b', 'c' ]
`

$3

`text

• a
• b
• c

`

Example with access to Viya

This is similar to the previous example The basic function now executes SAS code
or casl code.

The prompt should look something like this:

`text

run file path to your .sas file or .casl file

`

The following starter files are included. Use .sas files if env VIYASOURCE is set to compute

- ../../programs/echo.casl
- ../../programs/datastep.casl
- ../../programs/datastep.sas

$3

`text
npm run basicSAS "run file "
`

$3

`json
{
"casResults": {
"result": {
"Fetch": {
"_ctb": true,
"attributes": {
"Action": {
"type": "string",
"value": "fetch"
},
"Actionset": {
"type": "string",
"value": "table"
},
"CreateTime": {
"type": "double",
"value": 2022787095.92428
}
},
"label": "Selected Rows from Table A",
"name": "Fetch",
"rows": [
[
1,
1
]
],
"schema": [
{
"attributes": {},
"format": "",
"label": "",
"name": "_Index_",
"type": "int",
"width": 8
},
{
"attributes": {},
"format": "",
"label": "",
"name": "x",
"type": "double",
"width": 8
}
],
"title": "Selected Rows from Table A"
}
}
}
}

`

$3

Make sure the env variable VIYASOURCE is set to compute.

`json
[
{
"line": "1 options NOSYNTAXCHECK OBS=MAX;%let syscc=0;",
"type": "source",
"version": 1
},
{
"line": "2 data a;",
"type": "source",
"version": 1
},
{
"line": "3 x=1;",
"type": "source",
"version": 1
},
{
"line": "4 run;",
"type": "source",
"version": 1
},
{
"line": "",
"type": "note",
"version": 1
},
{
"line": "NOTE: The data set WORK.A has 1 observations and 1 variables.",
"type": "note",
"version": 1
},
{
"line": "NOTE: DATA statement used (Total process time):",
"type": "note",
"version": 1
},
{
"line": " real time 0.00 seconds",
"type": "note",
"version": 1
},
{
"line": " cpu time 0.00 seconds",
"type": "note",
"version": 1
},
{
"line": " ",
"type": "note",
"version": 1
},
{
"line": "",
"type": "note",
"version": 1
},
{
"line": "5 ",
"type": "source",
"version": 1
},
{
"line": "6 proc print; run;",
"type": "source",
"version": 1
},
{
"line": "",
"type": "note",
"version": 1
},
{
"line": "NOTE: There were 1 observations read from the data set WORK.A.",
"type": "note",
"version": 1
},
{
"line": "NOTE: The PROCEDURE PRINT printed page 1.",
"type": "note",
"version": 1
},
{
"line": "NOTE: PROCEDURE PRINT used (Total process time):",
"type": "note",
"version": 1
},
{
"line": " real time 0.05 seconds",
"type": "note",
"version": 1
},
{
"line": " cpu time 0.06 seconds",
"type": "note",
"version": 1
},
{
"line": " ",
"type": "note",
"version": 1
},
{
"line": "",
"type": "note",
"version": 1
},
{
"line": "7 ",
"type": "source",
"version": 1
},
{
"line": "8 ;",
"type": "source",
"version": 1
},
{
"line": "",
"type": "note",
"version": 1
}
]


``