CONNECTION GUIDE

Ahead runs where the release happens.

The interactive review proves the decision loop. In production, the same gate runs in GitHub Actions, queries DataHub MCP live, invokes your evaluator, publishes an auditable required check, and routes non-safe decisions to the responsible Slack channel.

YOUR REPOSITORYGitHub Actionscontract diff + policy

→

YOUR CONTEXTDataHub MCPschema + lineage + owners

→

YOUR COMPUTEModel evaluatorbaseline + proposed predictions

→

GITHUB CHECKPass / Blockevidence + remediation

→

TEAM RESPONSESlackowner alert + action links

DataHub

Connect catalog context

Use a scoped service account for unattended CI. Read tools resolve schemas, owners, and lineage. Mutation tools remain disabled unless an administrator explicitly enables decision writeback.

DATAHUB_GMS_URL=https://datahub.company.internal
DATAHUB_TOKEN=••••••••
# Or: DATAHUB_MCP_URL=https://tenant.acryl.io/integrations/ai/mcp
# Optional repository variable: AHEAD_DATAHUB_WRITEBACK=true

Official DataHub MCP guide

GitHub

Install the required check

Commit the included workflow and semantic contract. Each pull request receives a line annotation, a rich step summary, a JSON artifact, and a non-success result for REVIEW or BLOCK.

name: Ahead release gate
on: pull_request
jobs:
  model-safety:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: pip install -e ".[real-data,integration]"
      - run: python scripts/ci_semantic_gate.py \
          --base-ref origin/main --live-datahub
# Opt-in repository variable:
# AHEAD_DATAHUB_WRITEBACK=true
# AHEAD_SLACK_NOTIFICATIONS=true

GitHub Actions secrets

Evaluator

Point to model evidence

For this repository, Ahead retrains a real model from the included UCI dataset. A company points the command adapter at its approved evaluation extract, batch job, or model endpoint.

# Included reproducible adapter
AHEAD_DATASET_PATH=data/uci_credit_default.csv.gz
ahead --real-data

# Production adapter boundary
AHEAD_EVALUATOR_COMMAND=./run_model_evaluation.sh
# command prints: sample_count + baseline/proposed rates

Inspect the included evaluation

Slack

Route the decision to owners

Create a Slack app with an incoming webhook for the release-review channel. REVIEW and BLOCK include the changed field, model shift, DataHub lineage and owners, GitHub state, remediation, and direct action links. ALLOW stays quiet.

# GitHub Actions secret
SLACK_WEBHOOK_URL=https://hooks.slack.com/services/•••

# Repository variables
AHEAD_SLACK_NOTIFICATIONS=true
AHEAD_REVIEW_URL=https://ahead.example/demo

Official Slack webhook guide

WHAT LEAVES YOUR ENVIRONMENTA pass/block decision and the evidence fields you choose to publish.

No production credentials in the public demo
No raw company rows uploaded to this website
Slack webhook stays in GitHub Actions secrets
ALLOW does not create incident noise
No automatic transformation changes
Writeback is explicit and auditable

TRY THE INCLUDED REAL PATH

One command reproduces the model decision.

pip install -e ".[dev,real-data]"
ahead --real-data --output examples/generated/real-data-decision.json

ALLOW exits 0. BLOCK exits 2. REVIEW exits 3 so a required check cannot silently merge incomplete evidence.