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 tohttps://api.daft.aiif not specified)dashboard_url: Dashboard UI URL for run links (defaults tohttps://cloud.daft.aiif not specified)
Manual Configuration
While ev configure sets up profile configuration, you can manually edit your config file to:
- Add custom
endpoint_urlanddashboard_urlvalues 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 |
1 maintainer
Metadata
1 maintainer
Release files for ev-sdk 0.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ev_sdk-0.1.5.tar.gz | 40.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ev_sdk-0.1.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 87.6 kB
Release files / ev_sdk-0.1.5.tar.gz
| Download URL | ev_sdk-0.1.5.tar.gz |
|---|---|
| Size | 40.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.7
|
Release files / ev_sdk-0.1.5-py3-none-any.whl
| Download URL | ev_sdk-0.1.5-py3-none-any.whl |
|---|---|
| Size | 47.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.7
|
