Claude Code transcript

All 29 tests pass. Here's a summary of what was implemented:

Changes

New file: machine/providers/vultr.py — Full Vultr provider implementing the CloudProvider interface: - Instance management: create_vm, get_vm, destroy_vm, list_vms using the vultr-python library - SSH keys: get_ssh_key, list_ssh_keys — looks up keys by name (Vultr uses IDs internally) - DNS: create_dns_record, delete_dns_record, get_dns_records, list_domains using the library's generic HTTP methods (DNS isn't wrapped by the library) - Validation: validate_region against known Vultr regions, validate_image checks that the OS ID is numeric (Vultr uses numeric os_id values, not slug strings like DO) - User data: Automatically base64-encodes user_data as required by Vultr's API (unlike DO which accepts raw strings)

Modified: machine/providers/__init__.py — Added "vultr" to KNOWN_PROVIDERS and the factory dispatch.

Modified: pyproject.toml — Added vultr-python>=0.1.5 dependency.

Config format

A Vultr config would look like:

vultr:
  api-key: ${VULTR_API_KEY}
  ssh-key: my-key-name
  machine-size: vc2-1c-1gb
  image: 2136          # Vultr uses numeric os_id (e.g. 2136 = Ubuntu 24.04)
  region: ewr
  dns-zone: example.com  # optional
machines:
  web-server:
    new-user-name: deploy

All tests pass. Here's a summary of the documentation updates:

README.md: - Updated intro to list both DigitalOcean and Vultr as supported platforms - Split the config section into separate DigitalOcean Config and Vultr Config subsections, each with their own example YAML and reference table - Added explanation of provider auto-detection and the explicit provider: key for multi-provider configs - Added Vultr-specific notes (numeric os_id for images, no projects support, Vultr region codes) - Added a Vultr example to the environment variable substitution section - Updated command descriptions to use provider-agnostic language ("instance" instead of "droplet", "provider" instead of "DigitalOcean")

CLAUDE.md: - Updated project description to mention both providers - Updated tech stack to list both provider libraries - Updated project structure to show provider.py and providers/ directory with both implementations

Good, there's already an e2e CI workflow. Now I have the full picture. Here's my plan:

1. Refactor test_e2e.py — Make it provider-agnostic with an E2E_PROVIDER env var that selects provider-specific config/defaults
2. Update e2e-test.yml — Use a matrix strategy to run against both providers, each with its own secrets/vars
3. Update test_input_validation.py — The test_missing_digital_ocean_section test should now expect "vultr" in the available providers list

Let me start with the e2e test refactor.

I can see a few issues to address:

1. _extract_droplet_id checks candidate.isdigit() — Vultr uses UUID IDs, not numeric
2. _write_config is hardcoded to produce digital-ocean: config with access-token
3. Skip logic only checks for DO-specific env vars
4. CI workflow needs a matrix for both providers

Let me also check if the E2E_PROJECT is used in the tests directly, since Vultr doesn't support projects.

All 29 tests pass and lint is clean. Here's a summary of the changes:

test_e2e.py

• Provider selection via E2E_PROVIDER env var (defaults to "digital-ocean", also accepts "vultr")
• Provider-specific defaults — each provider gets appropriate region/image/size defaults (e.g. nyc1/ubuntu-24-04-x64 for DO, ewr/2136 for Vultr)
• Provider-specific config generation — _write_config() now produces the correct YAML structure for each provider (access-token vs api-key, project only for DO)
• Provider-specific credential checks — skip logic requires E2E_DO_TOKEN + E2E_PROJECT for DO, E2E_VULTR_API_KEY for Vultr
• Fixed _extract_instance_id() — no longer requires isdigit(), so Vultr's UUID-style IDs are handled
• Renamed throughout — "droplet" to "instance" in fixture names, test class, test methods, comments, and docstrings

e2e-test.yml

• Matrix strategy with provider: [digital-ocean, vultr] — runs e2e tests for both providers in parallel
• fail-fast: false so one provider's failure doesn't cancel the other
• Passes E2E_PROVIDER to select the provider, along with provider-specific secrets (E2E_DO_TOKEN, E2E_VULTR_API_KEY)
• Job name shows the provider: E2E Tests (digital-ocean), E2E Tests (vultr)

test_input_validation.py

• Renamed test_missing_digital_ocean_section to test_missing_provider_section
• Now asserts both "digital-ocean" and "vultr" appear in the error message (since both are known providers)

CI setup needed

To enable the Vultr e2e tests in CI, the following need to be added to the e2e GitHub environment: - Secret: E2E_VULTR_API_KEY - Variables: E2E_SSH_KEY and E2E_DNS_ZONE (may already be shared with DO if the same key/zone are used, otherwise provider-specific vars would be needed)