Command Line Interface

PandaAI comes with a command-line interface (CLI) that helps you manage your datasets and authentication.

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Authentication

Before using PandaAI’s remote features, you need to authenticate with your API key. Use the login command:

pai login PAI-xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx

This will:

1. Validate your API key format
2. Store it in your .env file
3. Preserve any other environment variables you might have

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Dataset Management

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Creating a Dataset

Create a new dataset through a guided process:

pai dataset create

You’ll be prompted for:

• Dataset path (organization/dataset)
• Dataset name (optional)
• Description (optional)
• Source configuration (type, connection details, etc.)

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Pushing a Dataset

Push your local dataset to the remote server:

pai push organization/dataset

After pushing, you can access your dataset at: https://app.pandabi.ai/datasets/organization/dataset

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Pulling a Dataset

Pull a dataset from the remote server:

pai pull organization/dataset

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Command Reference

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Path Format

Dataset paths should follow the format: organization/dataset

Examples:

• my-org/sales-data
• acme-corp/customer-metrics

Requirements:

• Organization and dataset names must be lowercase
• Only hyphens are allowed as separators
• Both organization and dataset names are required