BIGHUB

Better decisions for IT agent actions.

BIGHUB turns proposed IT agent actions into better decisions before they run. It builds a Decision Packet, runs DecisionBrain, and surfaces an execution outcome: proceed when appropriate (can_run), pause for human review, ask for more context, or advise not to run—with an optional better_action before execution only when BIGHUB actually produced one.

What BIGHUB does

For each proposed IT action (access changes, deployments, rotations, IAM updates, incidents, integrations), BIGHUB:

• Normalizes intent and context into a Decision Packet
• Reasons with DecisionBrain (risk, confidence, precedent signals when present)
• Returns better_action when the backend proposes a distinct alternative—not a cosmetic rephrase of the original
• Maps the platform’s execution_mode (and legacy signals) into clear flags: can_run, needs_review, needs_more_context, should_not_run
• Supports optional reviews (decision.request_review(), SDK/MCP approvals) and first-class system integrations for GitHub, Sentry, Datadog, AWS CloudTrail, Terraform, Kubernetes, Argo CD, GitLab, Jenkins, Azure, Prometheus, Grafana, and OpenShift

Quickstart (Python SDK)

pip install bighub

from bighub import Bighub

bighub = Bighub(api_key="...")

decision = bighub.decide(
    action="Grant temporary Okta admin access to users 1-9 for 48h",
    context={
        "system": "okta",
        "environment": "production",
        "ticket": "INC-8821",
    },
)

if decision.needs_review:
    decision.request_review()
elif decision.needs_more_context:
    print("More context required:", decision.reason)
elif decision.should_not_run:
    print("Do not run:", decision.reason)
elif decision.can_run:
    action_to_run = decision.better_action or decision.proposed_action
    # Plug in your executor (Okta Admin API, runbook, CI gate, …)
    run(action_to_run)

bighub.close()

The recommended public flow:

proposed IT action → Decision Packet → DecisionBrain → (better_action when real) → execution_mode / flags → review or context when needed

What a Decision returns

High-level fields developers use most often:

For full detail and /actions/evaluate field mapping, see sdk/python/README.md.

Benchmark proof

BIGHUB’s public SDK is centered on bighub.decide(...) and Decision Packet because the packet is the primitive that improves decision quality before execution.

On the April 2026 GPT-5.5 benchmark suite, BIGHUB improved average good decision rate from 41.11% to 73.14% across 21 cells, 2,520 labeled traces, and 5,040 LLM calls.

Same GPT-5.5 model, same frozen traces, same benchmark rubric. The baseline and packet arms differ only by whether the BIGHUB Decision Packet is included in the model input.

... View full README on GitHub