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CLI tool for interacting with Raga Canvas no-code agent deployment platform

Project description

Raga Canvas CLI

A command-line interface for interacting with the Raga Canvas no-code agent deployment platform.

Installation

pip install raga-canvas-cli

Quick Start

  1. Login to authenticate with Canvas platform
canvas login [--api-base https://api.canvas.raga.ai] [--profile <name>]
  1. Initialize a workspace
canvas init <directory> [--profile <name>] [--force]
  1. Add a project to your workspace
canvas add project <project-short-name> [--profile <name>]
  1. Set the default project
canvas set default-project <project-short-name>
  1. Pull an agent and its dependencies
canvas pull agent <agent-short-name> [--project <project-name>] [--profile <name>]
  1. Push your modified agent
canvas push agent <agent-short-name> [--project <project-name>] [--profile <name>] [--force]
  1. Deploy the agent
canvas deploy agent <agent-short-name> [--project <project-name>] [--profile <name>]

Commands

canvas login

Authenticate with the Canvas platform and save credentials.

Usage:

canvas login [--api-base <url>] [--profile <name>]

Prompts for username and password, validates, and stores a token securely (in system keychain or ~/.canvasrc).

Options:

  • --api-base: API base URL (default: https://api.canvas.raga.ai)
  • --profile: Profile name to save credentials under (default: default)

canvas init

Initialize a Canvas workspace.

Usage:

canvas init <directory> [--profile <name>] [--force]

Creates the workspace structure:

  • canvas.yaml - workspace configuration
  • agents/, tools/, datasources/ - resource directories
  • .gitignore - excludes sensitive files

Arguments:

  • <directory>: Directory to initialize (use . for current directory)

Options:

  • --profile: Profile to use for authentication
  • --force: Proceed even if files already exist

canvas add

Add projects to your workspace.

Usage:

canvas add project <project-short-name> [--profile <name>]

Downloads project configuration and sets up environment templates for the specified project.

Examples:

canvas add project my-project
canvas add project my-project --profile production

canvas set

Set workspace-level defaults.

Usage:

canvas set default-project <project-short-name>

Sets the default project in canvas.yaml that will be used by other commands when --project is not specified.


canvas list

List Canvas resources.

List Projects:

canvas list projects [--profile <name>] [--local]
  • --local: List projects added to local workspace instead of remote projects

List Agents:

canvas list agents [--project <short-name>] [--profile <name>]

Shows all agents in the specified project (or default project if not specified).


canvas pull

Pull resources from Canvas platform into your workspace.

Pull Agent:

canvas pull agent <agent-short-name> [--project <short-name>] [--profile <name>]

Pulls an agent and all its dependencies (tools, datasources, sub-agents) into the global agents/ directory.

Examples:

canvas pull agent my-agent
canvas pull agent my-agent --project my-project

Note: The deprecated canvas pull project command has been replaced by canvas add project.


canvas push

Push local resources to Canvas platform.

Push Agent:

canvas push agent <agent-short-name> [--project <short-name>] [--profile <name>] [--force]

Creates or updates an agent and its dependencies in the target project.

Arguments:

  • <agent-short-name>: Agent directory name in agents/

Options:

  • --project: Target project short name (uses default project if not specified)
  • --profile: Profile to use for authentication
  • --force: Force push even if validation warnings exist

Examples:

canvas push agent my-agent
canvas push agent my-agent --project my-project
canvas push agent my-agent --force

canvas deploy

Deploy an agent to Canvas platform.

Usage:

canvas deploy agent <agent-short-name> [--project <short-name>] [--profile <name>]

Triggers deployment of an existing agent version in the target project.

Examples:

canvas deploy agent my-agent
canvas deploy agent my-agent --project my-project

canvas get

Get information from Canvas platform.

Get Project Certificate:

canvas get project-certificate [--project <short-name>] [--profile <name>]

Retrieves the JWT public key certificate configured for a project. The key is used for validating JWT tokens issued by the project.

Examples:

canvas get project-certificate
canvas get project-certificate --project my-project

canvas update

Update information on Canvas platform.

Update Project Certificate:

canvas update project-certificate --public-key <path-to-pem-file> [--project <short-name>] [--profile <name>]

Uploads a new JWT public key certificate for a project. The key should be in PEM format and will be used for JWT token validation.

Options:

  • --public-key: Path to the public key PEM file (required)
  • --project: Target project short name (uses default project if not specified)
  • --profile: Profile to use for authentication

Examples:

canvas update project-certificate --public-key ./public_key.pem
canvas update project-certificate --project my-project --public-key ./key.pem

canvas help

Show help information for Canvas CLI commands.

Usage:

canvas help [<command>] [--structure]

Options:

  • --structure: Show workspace directory structure

Examples:

canvas help                # General help
canvas help pull          # Help for pull command
canvas help --structure   # Show directory structure

Directory Structure

When you run canvas init and canvas add project, the following structure is created:

my-canvas-workspace/
├── canvas.yaml              # Workspace configuration
├── .gitignore              # Ignores sensitive files (.canvasrc, *.env, etc.)
│
├── agents/                 # Global agents directory
│   └── my-agent/
│       ├── agent.yaml      # Agent configuration
│       └── system_prompt.txt  # System prompt (if extracted)
│
├── tools/                  # Global tools directory  
│   └── my-tool/
│       └── tool.yaml       # Tool configuration
│
├── datasources/            # Global datasources directory
│   └── my-datasource/
│       └── datasource.yaml # Datasource configuration
│
├── projects/               # Project-specific configurations
│   └── my-project/
│       └── project.yaml    # Project metadata
│
└── env/                    # Environment-specific variables
    ├── dev.yaml           # Development environment
    ├── staging.yaml       # Staging environment
    └── prod.yaml          # Production environment

Key Files:

  • canvas.yaml: Workspace config with default project name and version
  • ~/.canvasrc: Global user profiles and authentication tokens (stored in system keychain when available)
  • agents/<name>/agent.yaml: Agent configuration with references to tools and datasources by short name
  • projects/<name>/project.yaml: Project-specific metadata including project ID, environment, and profile
  • env/<environment>.yaml: Environment-specific variables (API keys, connection strings, etc.)

Configuration

The CLI uses the following configuration files:

  • ~/.canvasrc - Global user configuration and profiles (or system keychain)
  • canvas.yaml - Workspace configuration
  • projects/<name>/project.yaml - Project metadata and settings
  • env/*.yaml - Environment-specific variables

Development

To set up for development:

git clone https://github.com/raga-ai/raga-canvas-cli
cd raga-canvas-cli
pip install -e ".[dev]"

Run tests:

pytest

License

MIT License - see LICENSE file for details.

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