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Tirion Agent

Real-time monitoring dashboard for the Tirion autonomous AI agent. Shows agent state, recent activity events, and pipeline execution status as Tirion works through the OODA loop.

Page Overview

Tirion Agent

Monitor Tirion's current state, review the timestamped activity feed, and track active and recent pipeline runs

Screenshot of Tirion Agent

How to Use

1Check the agent status panel for current state (running / idle / offline)
2Read the activity feed to see what Tirion has been doing
3Review active pipeline runs and recent run history per pipeline
4Accept or defer pending recommendations from the Code Intelligence page

Features

🤖

Agent Status

Live state panel showing whether Tirion is running, idle, or offline with an emoji status badge

📋

Activity Feed

Timestamped event stream with icons for each event type — scans, recommendations, completions, and failures

Pipeline Summary

Active ADW pipeline runs triggered by Tirion, plus a history of recently completed runs per pipeline

🔁

OODA Loop

Visual representation of Tirion's Observe → Orient → Decide → Act cycle and its current stage

Agent Status

The status panel at the top of the page shows Tirion's current operational state.

StateBadgeMeaning
Running🟢 RunningTirion is actively scanning or executing a pipeline
Idle🟡 IdleTirion completed its last cycle and is waiting for the next scan interval
Offline🔴 OfflineTirion process is not responding — may require investigation

Tirion runs continuously on an Azure VM, scanning all registered codebases approximately every 2 minutes.

Activity Feed

The feed displays a reverse-chronological stream of timestamped events.

Event Types

IconEvent TypeDescription
🔍scan_completedTirion finished scanning a repository for improvement opportunities
💡recommendation_generatedA new improvement recommendation is ready for review
pipeline_completedAn ADW implementation pipeline finished successfully
pipeline_failedAn ADW pipeline run failed — check the Pipeline Summary for details
🚀pipeline_startedTirion accepted a recommendation and triggered an ADW pipeline run
⏭️recommendation_deferredA recommendation was deferred and will be re-evaluated on the next cycle

Pipeline Summary

The pipeline summary section shows Tirion-triggered ADW runs grouped by pipeline name.

Active Runs

Any currently-executing ADW pipelines are listed here with:

  • Pipeline name
  • Current step (plan / implement / commit / PR)
  • Elapsed time

Recent Run History

A compact history of the last 10 completed runs per pipeline, showing state and duration. Use this to identify pipelines that are consistently failing.

Tirion's OODA Loop

Tirion operates an autonomous improvement loop:

  1. Observe — Scan registered codebase repos for patterns, anomalies, and improvement opportunities
  2. Orient — Generate structured recommendations with estimated impact and implementation complexity
  3. Decide — Wait for human acceptance via the Code Intelligence page (recommendations are never auto-applied)
  4. Act — Create a spec + digest task, then trigger the ADW pipeline to implement
Acceptance Required

Tirion never acts autonomously — every recommendation waits in a "pending" state until a human accepts or defers it from the Code Intelligence page. This page shows the outcome after acceptance; acceptance itself happens on the Code Intelligence page (coming soon).

Infrastructure

ComponentDetails
HostAzure VM (always-on)
Scan interval~2 minutes
Recommendation storagewg_digests.tirion_recommendations
Event logwg_digests.tirion_events
Pipeline triggerADW (adws/agent.py) via Palantiri sidecar