rio
Rio is a fully autonomous, one-shot coding agent. It has no interactive terminal UI, no conversation history, no human steer in the middle and no follow-up turns. Start a task, let it run, and Rio exits only when the task completes or aborts.
Use
Install via uv:
uv tool install rio
Run a adhoc task:
rio run "Fix gh issue 123."
Run a predefined workflow:
rio run task.md
The workflow is to write the task in a Markdown file, then run Rio against it.
You can add a short instruction when invoking it:
uv run rio run "Follow feature.md, run the tests, and finish the implementation"
Use rio login PROVIDER to configure a provider. Use --provider NAME --model MODEL to choose one and
--approve to allow project instructions and extensions for that run. Rio
prints a compact human transcript by default. Use --output json for one JSON
event per line. Each human-mode run prints a session id; continue it with
rio run --resume SESSION_ID "Next task".
Documentation
See the documentation for tutorials, guides, command-line reference, and an explanation of Rio's architecture.
Development
uv run pytest
uv run ruff check .
To run the Lean 4 verification, install elan and build the pinned toolchain from the repository root:
cd tests/lean && lake build
See the Lean behavior models for their scope and limits.
rio.aiis a multi-provider LLM streaming SDK.rio.agentis the SKILL.state runtime.rio.codingsupplies the autonomous coding skill and tools.rio.cliis the public one-shot command-line entry point.
1 maintainer
Release files for rio 0.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rio-0.6.1.tar.gz | 484.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rio-0.6.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 881.4 kB
Release files / rio-0.6.1.tar.gz
| Download URL | rio-0.6.1.tar.gz |
|---|---|
| Size | 484.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / rio-0.6.1-py3-none-any.whl
| Download URL | rio-0.6.1-py3-none-any.whl |
|---|---|
| Size | 397.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 27, 2026.
Transparency log
