Metadata-Version: 2.4
Name: agent-sim-bridge
Version: 0.1.0
Summary: Simulation-to-reality bridge for AI agents with environment adapters
Project-URL: Homepage, https://github.com/aumos-ai/agent-sim-bridge
Project-URL: Documentation, https://github.com/aumos-ai/agent-sim-bridge#readme
Project-URL: Repository, https://github.com/aumos-ai/agent-sim-bridge
Project-URL: Issues, https://github.com/aumos-ai/agent-sim-bridge/issues
Author: AumOS Contributors
License-Expression: Apache-2.0
License-File: LICENSE
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Typing :: Typed
Requires-Python: >=3.10
Requires-Dist: click>=8.0
Requires-Dist: pydantic>=2.0
Requires-Dist: pyyaml>=6.0
Requires-Dist: rich>=13.0
Provides-Extra: agentcore
Requires-Dist: agentcore-sdk>=0.1.0; extra == 'agentcore'
Provides-Extra: dev
Requires-Dist: mypy>=1.8; extra == 'dev'
Requires-Dist: pip-audit; extra == 'dev'
Requires-Dist: pytest-asyncio>=0.23; extra == 'dev'
Requires-Dist: pytest-cov>=4.0; extra == 'dev'
Requires-Dist: pytest>=8.0; extra == 'dev'
Requires-Dist: ruff>=0.3; extra == 'dev'
Description-Content-Type: text/markdown

# agent-sim-bridge

Simulation-to-reality bridge for AI agents with environment adapters

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Part of the [AumOS](https://github.com/aumos-ai) open-source agent infrastructure portfolio.

---

## Features

- `TransferBridge` applies a `CalibrationProfile` (per-dimension linear scale + offset + noise model) to translate observations and actions between simulator coordinates and real-world distributions
- `Calibrator` fits calibration profiles by regression on paired sim/real observation datasets, with support for iterative recalibration as new data arrives
- `DomainRandomization` perturbs simulation parameters (friction, mass, sensor noise, lighting) across configurable ranges to produce policies that transfer without fine-tuning
- Simulation scenario recorder and replay engine lets you capture real-world trajectories, replay them in simulation, and measure the fidelity gap
- `SafetyMonitor` enforces physical and policy constraints during both simulated and real execution, with configurable boundary definitions and emergency stop hooks
- Sensor fusion module combines readings from multiple simulated or real sensors with configurable noise injection and covariance-weighted fusion
- Backend adapters for Gazebo and PyBullet expose a uniform `SimulationEnvironment` interface so agents can be tested against either simulator without code changes

## Quick Start

Install from PyPI:

```bash
pip install agent-sim-bridge
```

Verify the installation:

```bash
agent-sim-bridge version
```

Basic usage:

```python
import agent_sim_bridge

# See examples/01_quickstart.py for a working example
```

## Documentation

- [Architecture](docs/architecture.md)
- [Contributing](CONTRIBUTING.md)
- [Changelog](CHANGELOG.md)
- [Examples](examples/README.md)

## Enterprise Upgrade

For production deployments requiring SLA-backed support and advanced
integrations, contact the maintainers or see the commercial extensions documentation.

## Contributing

Contributions are welcome. Please read [CONTRIBUTING.md](CONTRIBUTING.md)
before opening a pull request.

## License

Apache 2.0 — see [LICENSE](LICENSE) for full terms.

---

Part of [AumOS](https://github.com/aumos-ai) — open-source agent infrastructure.
