Reference documentation

This reference section documents Baseten’s APIs, CLIs, and Python SDKs for deploying models, managing your workspace, running training jobs, and calling endpoints in production.

​

API reference

Baseten provides APIs for inference, workspace management, training, and the Frontier Gateway:

​

CLI reference

Truss authors and deploys model code; the Baseten CLI manages your workspace. The CLI overview explains when to use each.

• Truss CLI reference: Commands for initializing, deploying, and managing models.
• Baseten CLI reference: Commands for managing organizations, API keys, secrets, and the deployment lifecycle from scripts and CI.
• Chains CLI reference: Commands for orchestrating multi-model workflows.
• Loops CLI reference: Commands for deploying and inspecting Loops sessions, runs, samplers, and checkpoints.
• Training CLI reference: Commands for managing training jobs.
• Baseten Switch CLI reference: Commands for routing Claude Code, Codex CLI, and Pi to Model APIs.

---

​

Truss configuration

The Truss configuration reference documents every key in config.yaml: model resources, dependencies, secrets, and engine settings.

---

​

SDK reference

The Python SDKs provide an abstraction for deploying models, managing deployments, and interacting with models through code.

• Truss SDK reference: Deploy and interact with Truss models using Python.
• Chains SDK reference: Build and manage inference chains programmatically.
• Loops SDK reference: Python clients for Loops training, sampling, and session management.
• Training SDK reference: Deploy and interact with trained models using Python.

---

​

CI/CD

The Truss Push GitHub Action deploys and validates a Truss model or chain from GitHub Actions.