As discussed in the development mode overview, to make Openlayer part of your pipeline, you must set up a way to push your artifacts to the Openlayer platform after each development cycle.

This guide shows how to use the Openlayer CLI to push artifacts and retrieve test results.

To follow this guide, feel free to use one of the template projects from the Template gallery. We use the OpenAI in Python as an example.

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Directory structure

Before you start, make sure that the directory you want to push to Openlayer adheres to one of the options below.

In the first option, besides the openlayer.json, there is a run script (openlayer_run.py). This option represents the scenario where Openlayer will use your script to get your model outputs for your datasets.

On the other hand, option 2 illustrates the situation when you already provide your model’s outputs for your datasets. Refer to the Configuring output generation page for details.

Option 1 is more common. However, option 2 is suitable for users who don’t want to give Openlayer access to their source code and for users whose execution runtime is not supported by Openlayer.

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Pushing to Openlayer

To push the directory to Openlayer, you must:

1

Login to Openlayer using the CLI

Inside your directory, run the command:

openlayer login

This will prompt you for the Openlayer API URL (which should be kept as https://api.openlayer.com if you are using app.openlayer.com) and for your API key (which you can find here).

> Enter the Openlayer API URL: https://api.openlayer.com
> Enter your API key: ********************************
> Done! The Openlayer CLI is configured for <Your username> under the workspace <Your workspace name>

Refer to the login command reference for more information.

2

Link to an Openlayer project

Then, run the command:

openlayer link

You must answer a few questions, such as whether to create a new project on Openlayer, the project directory, and others.

? Set up “~/Desktop/openai-chatbot”? Yes
? Link to existing project? No
? What's your project's name? openai-chatbot
? What's the directory of your project? ./
✅ Linked to openlayer/openai-chatbot (created .openlayer)

Refer to the link command reference for more information.

3

Push to the Openlayer project

Finally, run:

openlayer push

This command creates and pushes a new commit to your Openlayer project. It then waits for the evaluation of your tests to display the results:

Running "openlayer validate"
Config is valid
Running "openlayer bundle"
Bundle completed [9ms]
Running "openlayer upload"
Uploading bundle [0.29 MB]...
Upload completed [5.904s]
Push completed [7.423s]
⠇ Waiting for results

Refer to the push command reference for more information.

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Poll the results

After following the steps above, you should see a new commit in your Openlayer project. You can view the test results using the openlayer inspect CLI command:

Version Information:
-------------------
Version ID: 5979c341-fa08-4a72-9bc9-c7e6296ee9dc
More Details: https://app.openlayer.com/openlayer/7dd13019-5bba-4138-aeb0-6a60226c31d1?mode=development&projectVersionId=5979c341-fa08-4a72-9bc9-c7e6296ee9dc
Date Created: April 29, 2024 at 3:54 PM
Commit Message: Pushed from Openlayer CLI
Source of Commit: cli
Status: completed
Status Message: Generated insights

Test Result Summary:
-------------------
|     TYPE      | COUNT |
|---------------|-------|
| Passing Tests | 4     |
| Failing Tests | 1     |
| Total Tests   | 7     |
|---------------|-------|

Failing / Errored Tests:
-------------
| #  |           TEST NAME            | DETAILS |
+----+--------------------------------+---------+
| 01 | Validation answer relevancy >= | failing |
|    | 0.8                            |         |
+----+--------------------------------+---------+

If the push fails (status failed), you can check the logs on the Openlayer platform to debug the issue. Refer to the inspect command reference for more information.

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GitHub Actions with OpenlayerPush and poll using the Openlayer REST API