This release is a pre-release and may not be stable for production use.
cimhub_chat
Natural language chat interface for CIMHub power system models. Load any CIMHub-supported model (DSS, GLM, RAW, MATPOWER, CIM XML) and query or edit it in plain English.
Features
- Query — "How many loads are on bus 634?" / "What is the total MW?"
- Edit — "Change load L1 to 500 kW" / "Add a new line from 632 to 645"
- Cross-format awareness — "Show me the DSS command for this EnergyConsumer"
- Write-back — Saves edits to native format files or CIM XML
- Schema-aware — Introspects LinkML-generated dataclasses at runtime so the LLM knows valid field names, types, and relationships without hard-coded prompts
Usage
# Start the chat CLI with a DSS model
cimhub-chat ieee13/Master.dss
# Start with a PSS/E RAW model
cimhub-chat network.raw
# Start with a CIM XML file
cimhub-chat ieee13.xml --cim-profile cimhub_2026
Or from Python:
from cimhub_chat.cli import start_chat
start_chat("ieee13/Master.dss")
Architecture
CLI / REPL
↓
ModelService (loads + manages the active CIM model)
↓
Agent (LLM-backed reasoning loop via LangGraph)
↓
MCP Server (exposes CIM graph as tools via Model Context Protocol)
↓
CIMHub converters (cimhub_opendss, cimhub_raw, cimhub_gridlabd, ...)
The MCP server (mcp_server/) provides typed tools (list_buses, get_load, set_load_power, etc.) backed by runtime introspection of the loaded model's LinkML schema. The agent calls these tools rather than generating raw Python.
Supported LLMs
Configured via environment variables or --model flag:
| Provider | Models |
|---|---|
| Anthropic | claude-sonnet-5, claude-opus-4-8 |
| OpenAI | gpt-4o, gpt-4-turbo |
| Ollama | any locally-served model |
Running Tests
uv run pytest cimhub_chat/tests/ -v
1 maintainer
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