a17cf63d2f77481d987f9dba37fa21832b239d42
InternalAI Agent
A documentation and pattern library that gives LLM agents the context they need to build data analysis workflows against Monadical's internal systems — ContactDB (people directory) and DataIndex (unified data from email, calendar, Zulip, meetings, documents).
The goal is to use opencode (or any LLM-powered coding tool) to iteratively create marimo notebook workflows that query and analyze company data.
Setup
- Install opencode
- Make sure InternalAI is running locally (ContactDB + DataIndex accessible via http://localhost:42000)
- Configure LiteLLM — add to
~/.config/opencode/config.json:
{
"$schema": "https://opencode.ai/config.json",
"provider": {
"litellm": {
"npm": "@ai-sdk/openai-compatible",
"name": "Litellm",
"options": {
"baseURL": "https://litellm.app.monadical.io",
"apiKey": "xxxxx"
},
"models": {
"Kimi-K2.5-dev": {
"name": "Kimi-K2.5-dev"
}
}
}
}
}
Replace xxxxx with your actual LiteLLM API key.
Quickstart
- Run
opencodefrom the project root - Ask it to create a workflow, e.g.: "Create a workflow that shows all meetings about Greyhaven in January"
- The agent reads
AGENTS.md, proposes a plan, and generates a notebook likeworkflows/001_greyhaven_meetings_january.py - Run it:
uvx marimo edit workflows/001_greyhaven_meetings_january.py - Iterate — review the output in marimo, go back to opencode and ask for refinements
How AGENTS.md is Structured
AGENTS.md is the entry point that opencode reads automatically. It routes the agent to the right documentation:
| Topic | File |
|---|---|
| Company context, tools, connectors | docs/company-context.md |
| People, contacts, relationships | docs/contactdb-api.md |
| Querying emails, meetings, chats, docs | docs/dataindex-api.md |
| Connector-to-entity-type mappings | docs/connectors-and-sources.md |
| Notebook templates and patterns | docs/notebook-patterns.md |
It also includes API base URLs, a translation table mapping natural-language questions to API calls, and rules for when/how to create workflow notebooks.
Project Structure
internalai-agent/
├── AGENTS.md # LLM agent routing guide (entry point)
├── docs/
│ ├── company-context.md # Monadical org, tools, key concepts
│ ├── contactdb-api.md # ContactDB REST API reference
│ ├── dataindex-api.md # DataIndex REST API reference
│ ├── connectors-and-sources.md # Connector → entity type mappings
│ └── notebook-patterns.md # Marimo notebook templates and patterns
└── workflows/ # Generated analysis notebooks go here
Description
Languages
Python
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