GitHub - cleverhoods/sagecompass: Augmented AI decision framework

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SageCompass

SageCompass is an augmented decision system that checks whether a business idea actually needs AI before anyone spends time and money building it.

Getting started

  1. Install tooling

    • Install DDEV
    • Install uv and Python 3.12+.
  2. Create the virtual environments for the different layouts

    # Installing Drupal
    ddev start
    ddev drush site:install --existing-config -y
    ddev drush uli #to get the login url.

    IMPORTANT:

    • Remember to copy the langgraph/.env.example file to langgraph/.env
    • The current implementation was created for OPENAI_API_KEY only
    # Installing Langgraph
    cd langgraph
    uv sync
    # Installing Gradio UI
    cd gradio-ui
    uv sync
  3. Run LangGraph

    uv run langgraph dev
    # or with host IF you want to play around the Drupal - LangGraph integration. See Known errors.
    uv run langgraph dev --host 0.0.0.0
  4. Run Gradio UI

  5. Run tests

    cd langgraph
    uv run pytest -v

You Do What?

“It's a virtual consultant that applies consistent logic to every AI idea and tells you - with numbers - if it’s worth doing or not.”

Storyline:

Human equivalent SagePass equivalent
Consultant asking "What problem are we solving?" Stage 1 – Problem framing & information gathering
Analyst turning that into measurable goals Stage 2 – Goals & KPIs
Data scientist checking "Do we have data for this?" Stage 3 – Feasibility
Executive deciding "Is this worth doing?" Stage 4 – Decision synthesis

Encompassing roles/Agents (v4)

Agent Simple metaphor Stage
Problem Framing Agent Business analysis Stage 1
Business Information Agent Business analysis Stage 1
Business Goal Agent Strategy translator Stage 2
KPI Agent Performance analysis Stage 2
Eligibility Agent Eligibility specialist Stage 3
Solution Design Agent Senior Engineer Stage 4
Cost estimation Agent Operation Manager Stage 4
Decision Agent Executive summarizer Stage 4

Project structure

Local requirements

  • Python 3 (>=v3.13)
  • uv (>=v0.9.13)
  • ddev (>=v1.24.10)

Directory structure

.
├── docs/                     # Documentation assets
│   ├── mermaids/             # Mermaid exports/diagrams
│   └── assets/               # Images, htmls
├── drupal/                   # Drupal site root/
│   ├── .ddev/                # DDEV orchestration
│   └── README.md             
├── gradio-ui/                # Runnable Gradio UI surface (uv-managed)
│   └── README.md         
├── langgraph/                # Runnable LangGraph backend (uv-managed)
│   └── README.md         
├── AGENTS.md                 # Top level AGENTS directives (Codex mirror)
├── CLAUDE.md                 # Top level CLAUDE directives
├── CHANGELOG.md              # Required changelog (update under [Unreleased])
├── README.md                 # This file
└── LICENSE                   # MIT

Known errors:

Docker - LangStudio network issue

On Local, Drupal is running inside a ddev initiated docker container, and it cannot connect to LangGraph Studio, unless the Studio is started via uv run langgraph dev --host 0.0.0.0.

This enables LangSmith endpoint config like this http://host.docker.internal:2024, BUT! it disables the default LangSmith because it doesn't see the http://0.0.0.0:2024 path.

The issue can be mitigated if you replace the 0.0.0.0 address manually to 127.0.0.1. https://eu.smith.langchain.com/studio/?baseUrl=http://127.0.0.1:2024