Introduction to Oris¶
Oris is an open-source Responsible AI runtime for Python. Define pipelines in YAML (or build them in code), run them through a single executor, and get input and output policy checks plus run- and step-level traces by default—so you can ship LLM and automation workflows with clearer safety defaults and better observability.
The design is modular and framework-agnostic: built-in components and optional LLM providers compose into a validated plan; anything you can invoke like run(dict) can also sit behind SafeRunner with the same policy surface.
Welcome to Oris
To go straight from install to a working pipeline, see Installation and Quickstart.
What you can build with Oris¶
Guarded pipeline runs
Load YAML or construct plans in Python, call Pipeline.run, and rely on consistent validation, guard hooks, and trace shapes—suitable for services and batch jobs.
Observable LLM-style workflows
Use template and provider-backed steps, inspect PipelineResult and to_run_summary() for structured logs and governance-friendly exports.
External models and tools
Wrap Ollama, HTTP APIs, or proprietary runtimes with SafeRunner so external code passes through the same PolicyEnforcer as in-framework execution.
CLI-first operations
Validate definitions and run pipelines from the terminal with oris validate and oris run, matching what you do in code.
How Oris is organized¶
Oris centers on pipelines, components, providers, RAI policy (input/output guards), and tracing. Configuration is parsed with safe YAML loading and validated before execution. Read more in the Concepts section.
Inspiration
This documentation site follows the same intro → get started → concepts → guides flow popularized by frameworks such as Haystack—clear navigation, skimmable pages, and copy-friendly code blocks.
Next steps¶
| Goal | Start here |
|---|---|
| Install the package | Installation |
| Run a minimal pipeline | Quickstart |
| Understand the mental model | Concepts overview |
| Command-line usage | CLI reference |
| Notebooks & samples | Examples |
| Report issues or contribute | Contributing |
Repository¶
Source, issues, and releases: github.com/DevStrikerTech/oris · PyPI: oris-ai