HiveBoard — Insights

▶

The Glance — Fleet Status at a Glance ~2 seconds

Fleet Status Q1

5 agents total · 2 processing · 1 idle · 1 waiting · 1 stuck

Needs Attention Q2

1 stuck · 1 error

2 active issues · 1 waiting approval

Stuck Agents Q3

1 stuck

doc-processor-02 — stuck for 4m12s (threshold: 120s)
Task: task-abc-789 Investigate →

Throughput Q4a

12.4 tasks/hr ↑ 8%

Success Rate Q4b

94.2% ↑ 2.1%

Errors Q4c

7 in 24h ↓ 3

LLM Cost/Task Q4d

$0.08 ↓ 12%

Live Activity LIVE

2s ago support-triage-01: Task task-xyz-456 completed — routed ticket to billing team

18s ago support-triage-01: LLM call classify_intent using gpt-4o (1.2K tokens)

1m ago doc-processor-02: Action extract_tables failed — timeout after 30s

3m ago doc-processor-02: Issue reported — PDF parsing intermittent failure (×4)

▶

The Investigation — Agent & Task Deep Dive ~2–5 min

Investigating Click any agent name above to auto-select

Current Status Q6

processing

Task: task-xyz-456

Type: support_ticket

Elapsed: 1m 42s

Last 1h: 4 completed, 1 failed

Heartbeat Q7

Healthy

Last beat: 12s ago

Threshold: 120s

12s / 120s

Queue Q8

2 pending

Pri	Summary	Age
high	Billing dispute #4421	2m
normal	Password reset #4422	45s

Issues Q9

1 active issue

medium api_reliability: Stripe API intermittent 503 (×6)

Recurring

Recent Tasks (Q10–Q16)

Task ID	Type	Status	Duration	Cost	Errors	Actions
task-xyz-456	support_ticket	processing	1m42s	$0.12	0	View Timeline →
task-xyz-455	support_ticket	completed	2m15s	$0.09	0	View Timeline →
task-xyz-454	support_ticket	failed	45s	$0.04	2	View Errors →

▶

The Optimization — Cost & Reliability ~10–15 min

Total Cost (24h) Q17

$4.82

147 LLM calls · 312K tokens in · 48K tokens out

By Agent

support-triage-01

$2.99

92 calls

doc-processor-02

$1.83

55 calls

Model Efficiency Q18

Model	Calls	Avg $/Call	$/1K Tok	Verdict
gpt-4o	89	$0.042	$0.018	Efficient
gpt-4-turbo	38	$0.031	$0.025	Review
claude-3-haiku	20	$0.003	$0.002	Efficient

💡 gpt-4-turbo costs 1.4× more per token than gpt-4o for the same classify_intent calls

Cost Timeline Q19

⚡ Spike at 12:00 — 18 calls, 42K tokens (vs avg 8 calls/bucket)

Agent Cost Comparison Q21

Group: support_agent (2 agents)

support-triage-01

$2.99

+37%

doc-processor-02

$1.83

avg

No outliers detected within same agent types

Prompt Bloat Analysis Q20

Fleet avg in/out ratio: 6.5:1 No bloat

0 calls exceeded threshold (ratio >10 AND tokens_in >5,000). Prompts look healthy.

Smart Detectors (Q22–Q28)

Silent Drop Detection Q22

No silent drops detected. All queued items are within normal processing time.

Status/Queue Contradiction Q23

1 contradiction found

Agent	Status	Queue	Severity
doc-processor-02	idle	2 items	medium

💡 Agent may need restart or queue processor check

Recurring Failures Q24

1 recurring issue across agents

Category	Agent	×Count	Severity
api_reliability	doc-processor-02	6	medium

Heartbeat Drift Q25

Last 50 heartbeats analyzed. Payload structure is stable — no drift detected.

Approval Queue Q26

1 agent waiting for approval

Agent	Task	Waiting
support-triage-01	task-xyz-450	12m 30s

Action Failure Patterns Q27

1 action with high failure rate

Action	Fail	OK	Rate	Agents
extract_tables	8	14	36%	1

Unresolved Issues Q28

1 chronic unresolved issue

medium Chronic api_reliability: Stripe API 503 (×6) — doc-processor-02

▶

The Review — Trends & Fleet Health ~20–30 min

Success Rate Trend Q29

94.2% ↑ 2.1% from 92.1%

Duration Trend Q30

2m 08s ↓ 15s faster

Fastest: 32s · Slowest: 4m 10s

Agent Reliability Ranking Q31

support-triage-01

96%

48/50

doc-processor-02

87%

26/30

Deploy Comparison Q32

Agent	Version	Success Before	Success After	Δ
support-triage-01	1.0 → 1.1	91%	96%	+5%

Based on agent_version changes in registration events

Total Infrastructure Cost Q33

$4.82

24h · 147 calls · 360K total tokens

Reported: $3.91 · Estimated: ~$0.91

Cost per Task Trend Q34

$0.06 avg/task ↓ 18% cheaper

Most expensive bucket: $0.14 at 02:00

ROI Calculator Q35

Enter your pre-observability baselines to calculate ROI

Baseline Cost/Month ($)

Baseline Avg Task Duration (s)

Baseline Error Rate (%)

$355/mo

Cost Savings

52s

Time Saved/Task

9.2%

Error Reduction

$4,260/yr

Projected Annual

Fleet Size Q36

5 agents

By environment: production=3, staging=2
By type: support_agent=3, doc_processor=2
+1 new agent in last 24h

Fleet Health Q37

DEGRADED

Stuck: −15 · Error: −10 · Issues: −3

Scale Readiness Q38

✓

Success rate ≥ 90%

94.2%

✗

No stuck agents

1 stuck

✓

Queue manageable

2 / 15

✓

Cost stable

↓ 18%

✗

No critical issues

2 active

✓

Error rate < 5%

5.8%

✗

Heartbeats healthy

1 stale