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The Python SDK for the EV Cloud.

Project description

Daft Cloud SDK

Usage

# Initialize a project
ev init

# Run a workflow
ev run my_module.py

# Configure a profile e.g. staging with endpoint overrides
ev configure

Installation

The CLI is installed in the project's virtualenv. It can also be added to a project's pyproject.toml with ev-sdk = { path = "../ev-cloud/ev-sdk", editable = true }. You can also run CLI with uv via uv run ev <command>.

dependencies = [ "ev-sdk" ]

[tool.uv.sources]
ev-sdk = { path = "../ev-cloud/ev-sdk", editable = true }

Configuration

The configuration uses profiles and is located at ~/.ev/config.toml (or $EV_HOME/config.toml).

[default]
profile = "default"

[profiles.default]
endpoint_url = "https://api.daft.ai"
dashboard_url = "https://cloud.daft.ai"

[profiles.development]
endpoint_url = "http://localhost:3000"
dashboard_url = "http://localhost:3003"

[profiles.staging]
endpoint_url = "https://staging.api.daft.ai"
dashboard_url = "https://staging.cloud.daft.ai"

Configuration Fields

  • endpoint_url: API endpoint URL (defaults to https://api.daft.ai if not specified)
  • dashboard_url: Dashboard UI URL for run links (defaults to https://cloud.daft.ai if not specified)

Manual Configuration

While ev configure sets up profile configuration, you can manually edit your config file to:

  • Add custom endpoint_url and dashboard_url values for different environments
  • Create multiple profiles for testing, staging, and production
  • Switch between local development and hosted environments

Commands

# Interactive configuration wizard
ev configure

# Initialize project in current repository
ev init [--template TEMPLATE]

# Run python scripts on Daft Cloud
ev run script.py                    # Python file
ev run module                       # Python module
ev run module:function --key=value  # Function with args

# List resources
ev list projects

# Use specific profile
ev --profile work run script.py

Provider

The Daft Provider is a simple implementation of the Provider interface with a set of known implementations that are resolved against our control plane.

We can move this into open source post launch, but it doesn't make a difference.

Configuration

We inject these environment variables to trigger using the Daft Provider.

DAFT_PROVIDER="daft"
DAFT_PROVIDER_BASE_URL="https://...."
DAFT_PROVIDER_API_KEY="sk-..."
Stage Endpoint
Tilt n/a
Staging https://ai-eventual-provider-staging.onrender.com/
Production n/a

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