ZenML
ZenML is an open-source MLOps and LLMOps framework that unifies machine learning and generative AI workflows through a single orchestration, versioning, and governance layer. It provides a Python SDK, CLI, REST API, and server for managing pipelines, stacks, artifacts, models, and deployments across any infrastructure backend, with 60+ integrations spanning orchestrators, ML frameworks, GenAI tools, cloud storage, and experiment tracking platforms.
APIs
ZenML OSS REST API
The ZenML open-source REST API exposes endpoints for managing ML pipelines, stacks, components, artifacts, models, deployments, runs, schedules, secrets, users, and projects in ...
ZenML Pro REST API
The ZenML Pro REST API extends the OSS API with managed control-plane features for teams, including organization and tenant management, role-based access control, audit logs, an...
Collections
ZenML OSS REST API
POSTMANZenML OSS REST API
OPENArazzo Workflows
ZenML Audit Pipeline Runs
Walk from a named pipeline to its run history and drill into the most recent run.
ARAZZOZenML Authenticate and List Pipelines
Exchange credentials for a token, confirm the session identity, and list pipelines.
ARAZZOZenML Bootstrap Project Pipeline
Identify the caller, resolve a project workspace, register a pipeline, and confirm it.
ARAZZOZenML Inspect Run Artifacts
Select a pipeline run, confirm it succeeded, and inspect an artifact produced in the deployment.
ARAZZOZenML Inspect Stack Topology
Pick a stack, read its component wiring, and cross-reference the component catalog.
ARAZZOZenML Monitor Pipeline Run
Find the latest run of a pipeline, poll its status to completion, and branch on success or failure.
ARAZZOZenML Provision Pipeline
Resolve a project, register a new pipeline in it, and confirm the pipeline was created.
ARAZZOZenML Provision Secret
Confirm the caller identity, create a scoped secret, and confirm it appears in the secret store.
ARAZZOZenML Register Model
Register a new model in the model control plane and enumerate its versions.
ARAZZOZenML Register Stack
Discover available stack components, assemble them into a new stack, and confirm the stack was created.
ARAZZOZenML Trace Deployment Runs
Select a pipeline deployment, resolve its pipeline, and read the latest run it produced.
ARAZZOZenML Track Scheduled Pipeline
Resolve a schedule, find the run it produced for its pipeline, and read that run.
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