EnergyChain

EnergyChain is the developer infrastructure through which AI applications can understand, interact with, and safely optimize energy systems—from solar installations and batteries to mini-grids, utilities, and electricity networks.

Status: v0.2.0 alpha. Offline-first, Python-first, and read-only by default. Simulated energy data are not live device measurements.

EnergyChain brings composable, vendor-neutral energy data types, connectors, safe callable tools, storage, deterministic energy calculations, a pluggable agent interface, and in-process workflows to Python developers. EnergyChain is a separate project from Energy Data Network (EDN).

Installation

Install the latest release after publication to the official PyPI index:

python -m pip install --upgrade energychain

To pin the expanded SDK after v0.2.0 has been published:

python -m pip install energychain==0.2.0

Until publication, install this branch locally in a development environment:

python -m pip install -e .

Requires Python 3.10 or newer. The core package uses only Python standard-library runtime dependencies.

Quickstart

from energychain import EnergyChain

chain = EnergyChain.demo()
user = chain.principal("developer", allowed_sites={"demo-site"})

assets = chain.tools.invoke("discover_assets", user, "demo-site")
print([a.name for a in assets])

result = chain.tools.invoke(
    "estimate_battery_runtime", user, "demo-site",
    arguments={"battery_id": "demo-battery", "load_w": 900, "reserve_pct": 20},
)
print(result)

Security: principal() is a local-demo convenience, not a production authentication mechanism. Production applications must authenticate principals, assign site-level permissions from a trusted service, and enforce authorization at API boundaries. The included connector simulator never sends live control commands.

Real-world integrations and safety

New opt-in provider integrations include a read-only Home Assistant REST connector (mapped energy sensors, explicit units and bearer authentication) and an Open-Meteo irradiance forecast source. Both require legal use of the provider service and a trustworthy source configuration. No vendor integration has yet been field-validated by EnergyChain.

The framework provides site-scoped fleets, structured episodic memory, a bounded read/analysis-only planning agent, constrained advisory energy scheduling, signed one-time action approvals, and opt-in checkpointed read-only workflows. Physical device dispatch is disabled by default. These extensions are libraries and reference implementations, not a production-operated cloud backend.

• Full 15-module architecture and readiness gates
• Threat model and authorization boundaries
• Read a Home Assistant energy sensor
• Fleet and episodic memory demo

Expanded components in 0.2

Intentionally not included in 0.2

• Field-tested and authenticated integrations with specific solar/battery vendors (no verified live credentials, calibration or deployment yet)
• A production-ready control or dispatch runtime, remote device command implementation, or energy safety certification
• Unbounded/autonomous LLM tool loops, multi-agent coordination, durable multi-instance streaming and production-safe physical action retries
• Production-grade multi-tenant identity, authorization server, encryption/key management, or high-volume telemetry infrastructure
• Trained and field-validated forecasting models, high-confidence anomaly accuracy, hardware testing or independently measured energy savings
• Managed EnergyChain Cloud, hosted APIs, TypeScript SDK, vector-search services or MCP adapter

These are subsequent product-development efforts, not features to advertise as shipped.

Connect existing CSV exports

Provide asset_id,metric,value,timestamp,source columns and register an explicit EnergySite and its EnergyAsset definitions. See CSVConnector.from_csv(path, site=..., assets=...). The latest row is treated as the last recorded value (not necessarily live); caller must check freshness before operational decisions.

Design principles

1. Developer-first: EnergyChain is software infrastructure for developers, not a national-grid control product.
2. Standard energy semantics: W, Wh, %, UTC-offset-aware timestamps, data-source and quality fields.
3. Composable: Connectors, tools, memory and language models can be independently replaced.
4. Data is not authority: An LLM response cannot issue a physical command. Tools always check policies.
5. Provenance matters: Simulated, estimated and measured values are explicitly labelled.
6. Tests and evidence: Do not confuse synthetic demonstrations with field validation.

Local development

python -m pip install -e '.[dev]'
python -m pytest -q
python -m build
python -m twine check dist/*
python examples/quickstart.py

See architecture for contract boundaries and limitations and release guide for verified distribution steps.

Licensing and safety

EnergyChain is MIT licensed; see LICENSE. PyPI wheels and source archives are publicly downloadable even though the development repository remains private. This alpha-quality SDK is not certified for physical energy-equipment control.

Operational deployment boundary

The package supports read-only integrations and advisory application development; it does not ship an authenticated multi-tenant backend, durable broker, high-availability workflow workers or certified device controls. A developer can deploy an application that imports it, but responsibility for tenancy, secrets, privacy, monitoring and operational availability belongs to that application until EnergyChain Cloud exists. See docs/security.md for release gates.