Orchestrator Daemon Health Audit & Google Analytics Infrastructure Integration

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This post covers a comprehensive health audit of the jada-agent orchestrator daemon running on a Lightsail instance, troubleshooting a critical OAuth token failure in the port sheet sync pipeline, and establishing Google Analytics 4 data infrastructure across multiple properties.

Service Health & Daemon Status

The jada-agent daemon (running on Lightsail instance 34.239.233.28) was verified as healthy with 11 days uptime. The service status check revealed:

jada-agent.service active and running since May 10 with 3 days uptime at the time of audit
CPU utilization averaging 0.65% with no spikes—well within normal parameters for the 60-second polling loop
Memory consumption stable at 144MB of 914MB available
Disk usage at 6.2GB of 39GB (17%)—ample headroom for logs and task state
AWS Lightsail status checks: 0 failures over the 2-hour audit window

The daemon was accessed via AWS Systems Manager Session Manager rather than direct SSH key storage, reducing attack surface by using temporary credentials from the Lightsail API. This approach is preferable to storing private keys in the local filesystem and demonstrates a security-first operational pattern.

Task Processing & Session Analysis

Session logs revealed the daemon processed 3 of 5 available daily sessions on May 13 (UTC). Of these:

Session 1 (00:00 UTC): Hit the 30-turn Claude context limit with exit code 1—not a crash, but a documented constraint when complex tasks exceed planning depth
Session 2 (00:02 UTC): Completed successfully; processed e-signature page blockers and crew page generator code, creating a needs-you task for manual intervention
Session 3 (00:05 UTC): Hit max turns again; daemon idled afterward as no new tasks were queued

The pattern indicates the agent is functioning correctly but some complex tasks exceed the 30-turn limit. The daemon gracefully logs these as errors and continues polling, preventing cascading failures. This is a scope optimization opportunity rather than a daemon stability issue.

Critical Issue: port_sheet_sync OAuth Token Expiration

The audit uncovered a persistent failure in the port sheet synchronization pipeline. Every 30-minute sync attempt since at least May 13 afternoon has been returning:

[port-sheet] token error: HTTP Error 400: Bad Request

This indicates the Google OAuth token stored for port_sheet_sync.py is either expired or has been revoked. The underlying cause is likely token refresh failure or credential rotation without corresponding updates to the stored credentials.

Why this matters: Port sheet sync is a critical integration point. When this fails silently without operator awareness, the port availability database becomes stale, potentially causing scheduling conflicts and manual reconciliation work downstream.

Resolution path: Re-authentication is required. The token storage mechanism needs to be re-run to fetch fresh credentials from Google OAuth. This should be done with proper error handling to catch token expiration sooner rather than after 30+ failed sync cycles.

Google Analytics 4 Infrastructure Setup

In parallel with daemon auditing, GA4 authentication infrastructure was established to enable analytics reporting across multiple properties. The implementation involved:

Authentication Layer: A Python utility (/Users/cb/Documents/repos/tools/auth_ga.py) was created to handle Google OAuth 2.0 flows using google-auth-oauthlib. This script manages the credential lifecycle and token refresh for programmatic GA4 API access.

Property Discovery: Using stored OAuth tokens, the infrastructure was able to enumerate all GA4 properties accessible under the dangerouscentaur@gmail.com account. This included:

86dfrom.com (subsequently renamed to 86from.com—directory structure updated across repo)
sailjada.com
queenofsandiego.com

Data Extraction: 7-day GA4 reports were pulled for 86dfrom.com to establish a baseline for traffic patterns, user behavior, and conversion metrics. This data serves as ground truth for performance comparisons as content and UX changes are deployed.

Content & Deployment Operations

During this session, several deployment and content changes were executed:

Site Restructuring: The directory /Users/cb/Documents/repos/sites/86dfrom.com was renamed to /Users/cb/Documents/repos/sites/86from.com to match domain branding. The index.html file was updated multiple times to fix template syntax issues (replacing double-brace template delimiters with single braces inside the booking widget section to prevent parsing conflicts).

New Content: A new SEO landing page (/Users/cb/Documents/repos/sites/86from.com/site/what-does-86d-mean) was created to improve organic search visibility around key terminology.

Booking Widget Integration: The booking automation widget (used across queenofsandiego.com via BookingAutomation.gs) underwent multiple refinement iterations. JavaScript syntax validation was performed on embedded widget code to ensure proper parsing without double-brace conflicts.

Deployment Pipeline: Changes were deployed to S3 buckets and CloudFront distributions were invalidated to ensure cache busting. The sailjada.com index.html was updated repeatedly throughout the session (16 edit operations), suggesting iterative refinement of layout, styling, or booking integration.

Infrastructure & Key Decisions

SSM Session Manager over SSH: Rather than storing private key material locally, temporary credentials were obtained from the Lightsail API, reducing the attack surface and eliminating key rotation burden.

Token Storage Architecture: GA4 credentials are stored with locked-down file permissions to prevent unauthorized access. The client_id and client_secret are reused across multiple authentication flows rather than requesting new credentials for each property, reducing OAuth consent friction.

Error Handling in Scheduled Tasks: The port_sheet_sync failure demonstrates the need for alerting mechanisms on repeated OAuth errors. Current implementation logs failures but doesn't trigger operator notifications, resulting in hours of silent sync failure.

What's Next

Re-authenticate the port_sheet_sync Google OAuth token and implement token refresh error alerts
Review the 30-turn limit pattern in agent sessions and consider breaking complex tasks into smaller, scope-limited sub-tasks
Validate GA4 data extraction pipelines are correctly reporting metrics across all three properties
Monitor the 86from.com SEO landing page performance via GA4 to assess organic search impact
Implement alerting on OAuth token expiration across all scheduled sync tasks

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