physicsos 0.1.1

AI-native physics simulation OS with TAPS-first physics IR, solver planning, and cloud runner tooling.

PhysicsOS

PhysicsOS is an AI-native physics simulation scaffold built around a TAPS-first workflow:

• compile physics problems into typed weak-form / solver IR;
• route executable IR blocks to local TAPS kernels;
• prepare audited fallback bundles for FEniCSx, MFEM, PETSc, or cloud runners;
• expose a CLI for PhysicsOS Cloud / foamvm device-login and job submission.

The project is currently alpha-stage research infrastructure. Local TAPS kernels are intentionally lightweight and deterministic; full-solver execution is prepared through manifests and approval gates rather than silently running external software.

Install

From a local checkout:

pip install -e .

The default install includes the DeepAgents runtime, LangGraph, and the OpenAI-compatible model adapter, so physicsos can start the natural-language agent loop immediately after model credentials are configured.

With Gmsh / meshio geometry tooling:

pip install -e ".[geometry]"

For package build and test tooling:

pip install -e ".[dev]"

CLI

physicsos
physicsos paths
physicsos auth login
physicsos account
physicsos runner submit path/to/manifest.json
physicsos runner status JOB_ID
physicsos runner logs JOB_ID
physicsos runner artifacts JOB_ID

Running physicsos with no arguments starts the interactive CLI shell. Plain text input is sent to the DeepAgents-powered PhysicsOS orchestrator as a natural-language chat turn. Local control commands are prefixed with /, for example /paths, /login, and /exit. The shell records user inputs, assistant outputs, and errors to a session file plus the global history file. Device-login tokens are stored under the user config directory, not in the repository.

To enable model calls, configure an OpenAI-compatible model:

$env:PHYSICSOS_OPENAI_API_KEY="..."
$env:PHYSICSOS_OPENAI_BASE_URL="https://api.tu-zi.com/v1"
$env:PHYSICSOS_OPENAI_MODEL="gpt-5.4"

Local Data

PhysicsOS uses PHYSICSOS_HOME when set. Otherwise, pip-installed usage stores runtime state under:

~/.physicsos/

In a source checkout, runtime artifacts stay under the repository so tests and development remain reproducible.

Default paths:

• Cloud auth config: ~/.physicsos/config.toml
• Interactive sessions: ~/.physicsos/sessions/session-*.jsonl for pip installs, or ./sessions/session-*.jsonl in a source checkout
• Command history: ~/.physicsos/history.jsonl for pip installs, or ./history.jsonl in a source checkout
• Solver/session artifacts: ~/.physicsos/scratch/... for pip installs, or ./scratch/... in a source checkout
• Case memory: ~/.physicsos/data/case_memory.jsonl for pip installs, or ./data/case_memory.jsonl in a source checkout
• Knowledge base: ~/.physicsos/data/knowledge/physicsos_knowledge.sqlite for pip installs, or ./data/knowledge/physicsos_knowledge.sqlite in a source checkout

Set PHYSICSOS_HOME=/path/to/physicsos-home to relocate these files. Run physicsos paths to print the exact paths used by the current environment.

Development

python -B -m pytest -q
python -m build
python -m twine check dist/*

Notes

• ARCHITECTURE.md is the main design document.
• taps.md describes the TAPS-first solver strategy.
• vm.md describes PhysicsOS Cloud / foamvm integration.
• Heavy model weights, generated scratch artifacts, local secrets, and knowledge databases are excluded from package distribution.