Agent observability & optimization

Move beyond the black box.

NOMOO is mission control for AI agents. Instrument any agent with a single line, trace every decision as it happens, and let automated optimization tune your prompts and parameters — so the systems you ship get measurably more reliable at scale.

Backed by a startup accelerator
Framework-agnostic instrumentation

One SDK, any stack. Instrument agents built with the frameworks you already use — no rewrites, no lock-in.

LangChain LlamaIndex CrewAI AutoGen Semantic Kernel Haystack
The platform

Put NOMOO to work across the entire agent lifecycle

Autonomous agents make decisions and call tools along paths that are hard to see and harder to debug. NOMOO turns that opacity into a clear, navigable record — then uses it to make your agents better. Instrument, trace, monitor, evaluate, detect, and optimize, all from one place.

One line to full visibility

Add the framework-agnostic SDK and call a single function. Automatic instrumentation wraps your agent and starts capturing every execution — no manual spans, minimal configuration.

# pip install nomoo
import nomoo
from my_agents import support_agent

nomoo.init(project="support-triage")   # one line to connect

# automatic instrumentation — no manual spans
agent = nomoo.instrument(support_agent)

result = agent.run("Where is my refund?")
# every nested call, argument & result is now traced
Quickstart

Start in one line

Install the SDK, wrap your agent, and open the dashboard. Automatic instrumentation handles the rest — capturing nested calls, arguments, results, and timing into a single trace.

# pip install nomoo
import nomoo
from my_agents import support_agent

nomoo.init(project="support-triage")        # 1. connect
agent = nomoo.instrument(support_agent)     # 2. instrument

result = agent.run("Where is my refund?")   # 3. observe
# traces stream to your NOMOO dashboard in real time

1 · Install

Add the SDK from your package manager. No agent infrastructure to stand up, nothing to host.

2 · Instrument

Call a single function. Automatic instrumentation wraps your agent with minimal configuration.

3 · Observe

Open the dashboard and watch traces, sessions, and quality scores arrive in real time.

Observability

Complete visibility into every execution

The NOMOO SDK captures detailed information about every run: nested function calls, the arguments passed, the results returned, and the hierarchical relationships between each step. The result is comprehensive observability into an agent's internal operation — so opaque, autonomous behavior becomes a record you can read.

One-line integration

Connect the SDK and instrument your agent with a single call. The tooling adds to your existing infrastructure in minutes, not sprints.

Automatic instrumentation

No manual spans to write. NOMOO captures nested calls, arguments, results, and the relationships between steps for you, automatically.

Framework-agnostic

Whatever your agents are built on, NOMOO instruments them the same way — so you get one consistent record across your whole stack.

Real-time monitoring

Watch your agents think — live

Real-time session monitoring streams live updates from active agent sessions, while an automated quality-analysis system critiques what it sees — assigning severity-based feedback and offering specific, actionable suggestions tied to the exact step that triggered them.

Live sessions

See active agent sessions update in real time as they run, with each step appearing the moment it executes.

Severity-based feedback

Automated critique grades behavior by severity — info, warning, error — so the issues that matter most rise to the top.

Actionable suggestions

Every critique comes with a concrete next step, pinned to the exact span that triggered it — not a vague score.

Performance & optimization

Agents that get better over time

NOMOO tracks performance across runs and detects regressions the moment behavior degrades. Then it goes further — continuously analyzing performance patterns and automatically tuning prompts and parameters to improve response quality and overall effectiveness, so you spend less time hand-tuning prompts and more time shipping.

Performance trends

Quality and latency tracked run over run, so improvement (or drift) is always visible.

8.6avg quality (last 7 days)trending up

Regression detection

Behavior drops are flagged automatically — before users feel them.

Regression detected · v1.6

Prompt auto-tuning

NOMOO proposes prompt edits drawn from real run patterns.

Answer the question.
Answer the question and cite the source.

Parameter optimization

Sampling parameters tuned toward higher-quality responses.

temperature0.3
top_p0.9

Quality scoring

Each run scored from automated critique, so trends are measurable.

8.6/ 10 mean score

Pattern analysis

Recurring failure modes surfaced across many runs, not one trace.

Redundant tool calls
Missing grounding
Over-long plans
Built to fit in

Drop into your existing AI workflow

NOMOO is designed to integrate into the way you already build — with minimal setup. One-line integration, automatic instrumentation, and a framework-agnostic SDK mean the tooling slots into your existing infrastructure quickly, whatever your agents are built on.

Agent frameworksLangChain · LlamaIndex · CrewAI
LLM providersAny model endpoint
Vector storesRetrieval & memory
OpenTelemetryExport spans & traces
AlertingWebhooks & notifications
CI / CDGate on quality checks
Cloud & VPCYour infra or ours
Data exportStream runs downstream

One-line integration

Connect and instrument with a single call — the fastest path from black box to full trace.

Automatic instrumentation

Calls, arguments, results, and step relationships captured for you — no manual spans.

Framework-agnostic

No lock-in. The same SDK instruments agents on any framework or runtime you choose.

Minimal configuration

Sensible defaults out of the box. Add detail only where you want it; ship the rest as-is.

See it on your agents

Schedule a demonstration

Bring your hardest-to-debug agent. We'll show you complete visibility into its behavior, real-time performance metrics, and AI-driven tuning — live, on your stack.

Complete visibilityReal-time metricsAI-driven tuning

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