Doppler

REST API at api.doppler.com/v3/. The data model: Workplace → Projects → Configs (environments) → Secrets. Secret retrieval: GET /v3/configs/config/secrets with project and config parameters returns all secrets for an environment. Individual secret access: GET /v3/configs/config/secret?project=...&config=...&name=... Secret modification: POST /v3/configs/config/secrets with change payload. The API uses a flat key-value model for secrets — keys are strings, values are strings. Projects organize related secrets. Configs map to environments with inheritance (root config → branch configs). Secret change logs: GET /v3/configs/config/logs. Sync integrations are managed via the dashboard. The CLI (doppler run) injects secrets as environment variables into process execution — useful for local development. The API design is clean and easy to understand.

API errors return JSON with success (boolean), messages array, and status_code. Standard HTTP status codes. Rate limits are generous and documented: 240 requests per minute for most endpoints. Service token auth failures are clear (invalid token, wrong project/config scope). Secret modification conflicts (concurrent edits) are handled by the API with last-write-wins semantics. The managed platform handles availability — no seal/unseal concerns like Vault. Change logs provide a complete audit trail. Secret versioning enables rollback to previous values. The main reliability consideration: Doppler is a cloud service — agents in air-gapped environments can't use it. The CLI's doppler run --fallback flag caches secrets locally for resilience against API unavailability.

Doppler provides cloud-native secrets management as a managed service — the value proposition versus Vault is dramatically lower operational complexity. For agents, the model is: organize secrets in projects and environments (development, staging, production), access secrets via CLI, API, or automatic infrastructure sync. The REST API covers secret CRUD, project/environment management, and audit logs. Automatic syncing pushes secret updates to deployment platforms (Vercel, AWS Parameter Store, Kubernetes, GitHub Actions, etc.) without agent intervention. Change logs track every secret modification with actor and timestamp. Secret referencing enables cross-project secret sharing. For agents that need secrets management without the Vault learning curve, Doppler is the pragmatic choice. The trade-off: no dynamic secrets, no encryption-as-a-service, no certificate management — Doppler is focused on static secrets management.

Service tokens are scoped to a specific project and config (environment) — read-only access to secrets for that scope. Personal tokens grant user-level access across projects based on the user's permissions. CLI tokens are generated per-machine for developer access. Service tokens are the recommended agent auth method: they provide least-privilege access to exactly the secrets the agent needs. Token rotation is supported with zero-downtime rotation (create new token, migrate, revoke old). No OAuth for API integrations. The auth model is simpler than Vault's but provides appropriate scoping for secrets access. SAML/SCIM is available for enterprise identity integration. For agents, creating a service token per environment per service provides clean credential isolation.

Documentation at docs.doppler.com is well-organized with quickstart guides, CLI reference, API reference, and integration guides. The getting started guide walks through project creation, secret management, and CLI usage. Integration documentation covers 20+ platforms (Vercel, AWS, GCP, Azure, Kubernetes, Docker, GitHub Actions, etc.) with step-by-step setup guides. The CLI documentation is thorough — covering installation, authentication, secret access, and the run command. API reference includes all endpoints with examples. The documentation's strength: it focuses on practical workflows rather than abstract concepts. For agents, the 'Integrate with Your App' and 'Service Tokens' guides are the essential starting points. Community resources are limited but the official docs are comprehensive.