What's New in Version 1.0.13

April 8, 2026 9:17 PM UTC

Version 1.0.13 of the relationalai Python package is now available!

To upgrade, activate your virtual environment and run the following command:

pip install --upgrade relationalai

New Features and Enhancements

Expanded graph APIs:
- Graph.adamic_adar() now supports weighted and directed graphs.
- Graph.is_acyclic() adds a built-in DAG check for directed graphs.
Added cumsum_asc() for cumulative sums over ascending keys.
Added global --json and --no-color options to the rai CLI to make output easier to handle in automation. --json returns structured output for reasoners:list, reasoners:get, jobs:list, and jobs:get. For example:
Terminal window
```
rai --json jobs:list
rai --no-color reasoners:list
```
Updated rai CLI wait flows so they make fewer unnecessary backend status and result checks before returning. These flows occur when you use --wait with commands like rai reasoners:create and rai reasoners:resume:
Terminal window
```
rai reasoners:create --type Logic --name my_reasoner --wait
rai reasoners:resume --type Logic --name my_reasoner --wait
```
The same improvements also apply when PyRel waits on jobs and reasoners.

If you work with multiple prescriptive solutions, keep the ProblemVariable returned by problem.solve_for(...) and query it directly instead of calling Problem.variable_values(). For example:
```
var = problem.solve_for(...)
sol_idx = Integer.ref()
value = Float.ref()

model.select(sol_idx, value).where(var.values(sol_idx, value))
```
This returns (sol_idx, value) pairs, so you can inspect every solution or filter to one specific solution index. Problem.variable_values() still works, but it is deprecated and no longer preferred.
Problem.load_point() still works as a deprecated no-op for load_point(0), but load_point(k) for k > 0 is no longer supported.