Task handover (early access)

Early access: move each task to your own AI only after it passes a test, move it back if quality slips, and keep a record your regulator can check.

Each task moves to your own AI only after it passes a test. If quality slips, it moves back automatically, and every step is recorded for regulators.

Diagram

How it works

Watch: records how each task is done today.
Test: turns that real work into tests.
Hand over: a task moves to your own AI only when it passes.
Roll back: if quality drops, the task moves back automatically.
Record: every handover leaves a record your regulator can check.

Who it is for

Banks, insurers and hospitals that want AI agents but cannot send private data to outside AI services. Keep your data inside, own your AI, and get proof for your regulators.

What it builds on today

The handover is not part of the open-source packages. It is built on parts that are already in the open-source framework, which you can use now:

Tracing

Record what an agent did, step by step

Evaluation with run_trials

Run each test case many times and get a pass rate

Fine-tuning with praisonai-train

Train a model of your own on your own data

Local models

Run agents fully offline on your own computers

Model router

Choose which model handles each task

Local model servers

Ollama, LM Studio, llama.cpp and vLLM

Early access

We are taking on our first design partners. If you run a highly regulated team, such as a bank, insurer or hospital, and want to try the handover, get in touch.

Is the handover available to install?

No. It is in early access and is not part of pip install praisonai. Everything else on this site is open source and available today.

Can I build something like this myself?

Yes. Tracing, evaluation, fine-tuning and local models are all in the open-source framework. The cards above link to each one.

Does this change the open-source framework?

No. PraisonAI is still a general-purpose agent framework, and every feature works as before. See the Introduction.