Monitor your AI agents in production

Catch and handle agent loops before they reach your users.

One platform to catch and improve agent behavior

Catch screenshot
Filters
Modes

Mode 1

user rephrases or corrects the agent multiple times, indicating dissatisfaction with the response.

N

Mode 2

agent makes a choice without referencing available evidence, constraints, or stated goals.

N
Add a failure condition...
Catch Issues

Detect Silent Failures

Catch beyond basic failure modes. Define custom modes for your domain and your agent's tasks and goals for Nexus to catch in real-time in production from traces and user sessions.

Monitored Out of the Box

  • Failed tool calls
  • User frustration in sessions
  • Agent looping
  • Information misrepresentation
Deep Analysis

Root-cause on autopilot

Analyze, triage, and track issues in one continuous flow.

Autopilot Analysis

Pull in context from code, logs, and prompts

Every issue gets automatically analyzed with runtime context from code, ticketing, traces, and prompts to pinpoint the root-cause.

Code

41 def summarize_deal_flow(

42 self, date_range):

43 range = fallback(90)

44 return self.query(range)

Traces

__start__

retrieve_deals 0.3s

summarize_deal_flow 1.2s

format_output 0.4s

__end__

Prompts

Summarize pipeline deals

for the given date range.

No mention of actual_range_used

Root-cause identified

summarize_deal_flow silently overrides date_range to "last 90 days" via probabilistic fallback. System prompt does not instruct agent to use actual_range_used.

Cross-reference check

5 issues → 3 high-signal
ISS-401summarize_deal_flow returns wrong date range silently4 pattern matches
ISS-402Agent uses verbose formatting on low-complexity queriesno match
ISS-403Agent misrepresents actual_range_used in summary3 pattern matches
ISS-404Agent occasionally re-fetches cached tool resultsno match
ISS-405Prompt fails to enforce actual_range_used over requested_range5 pattern matches

3 high-signal issues cross-referenced across patterns. 2 filtered as noise

High-Signal Triage

Surface only issues that matter

Issues are cross-referenced across patterns so only high-signal ones get surfaced.

Performance Tracking

Track failure modes and agent performance over time

Track which failure modes fire most and how the agent trajectories are responding for each custom mode

Agent trajectories

SuccessConcerningFailed

Tool hallucination

52%
21%
27%

Extended date range

60%
26%
14%

Skips confirmation

80%

Failure mode frequency

Tool hallucination

built-in

23

18% of all issues

Extended date range

custom

41

32% of all issues

Skips confirmation

custom

15

12% of all issues

Take Action

Know and fix silent failures fast

Get alerted and ship solutions faster before more users get impacted

#nexus-alerts

N

Tool hallucination detected

checkout-agent · just now

Prompt v4.2 removed inventory fallback on line 14

View in Nexus →

Slack Alerts

Get notified the moment a silent failure is detected, straight to the right channel with full context.

NEX-247High

Tool hallucination in checkout flow

Root-cause attached
Logs & traces linked

Linear Tickets

Auto-create tickets with root-cause analysis, logs, and reproduction steps so your team can act immediately.

Cursor
Cursor
Claude Code
Claude Code

Nexus MCP

Plug Nexus MCP into Claude Code or Cursor and jump straight into fixing with full issue context loaded without needing to do additional investigation

fix: tool selection fallback
+3−1checkout/agent.py

Auto-generated by Nexus · ready to merge

Automated PRs

Ship code fixes automatically. Nexus drafts pull requests with the changes needed to resolve the issue.

Connect with tools you already use

Langfuse
Braintrust
LangSmith
PostHog
GitHub
Linear
Slack

Don't have observability?

Just use Nexus.

pip install nexus-library

Don't let AI bugs in prod affect your customer's experience. Use Nexus.