In development · private beta soon

See every step your AI agents take.

Self-hosted monitoring for AI agents and LLM apps. One container and one Postgres, running in your own cloud. Your prompts and data never leave it.

Built on OpenTelemetryRuns in your Azure, AWS or GCPPriced in INR

Preview design · sample data

What you'll get

Know what your agents did, what it cost, and where it broke.

The features planned for the first release.

⌁

Step-by-step traces

Every prompt, model call, tool call and answer in one timeline, so you can see exactly why an agent said what it said.

₹

Cost and tokens

Cost per conversation, per user and per model, so a runaway loop or a pricey prompt shows up the same day.

⏱

Latency and errors

Slow steps, failed tool calls and model errors, with the full trace one click away.

🔔

Alerts

Error rate, cost or latency over your limit? Get told on email, Teams, Slack or WhatsApp.

🛡

Personal data masking

Phone numbers, emails, Aadhaar and PAN masked before they are stored. Retention you control.

⬡

Open standards

Uses OpenTelemetry and the GenAI conventions. Works with OpenAI, Gemini, Claude, LangChain, LlamaIndex and more. No lock-in.

How it works

Ten minutes to your first trace.

1

Run it in your cloud

One Docker image plus PostgreSQL. Ready templates for Azure Container Apps, AWS and Google Cloud Run, or plain Docker Compose.

2

Point OpenTelemetry at it

Use the standard OpenTelemetry libraries you may already have. No custom SDK to learn.

3

See every run

Open the dashboard: traces, costs, latency and errors for every agent and every user.

Planned quick start (subject to change)

# 1. Start NexAITrace and Postgres
docker compose up -d

# 2. Send traces from your Python agent
pip install opentelemetry-sdk opentelemetry-exporter-otlp \
            opentelemetry-instrumentation-openai

export OTEL_EXPORTER_OTLP_ENDPOINT=https://trace.your-company.internal
export OTEL_EXPORTER_OTLP_HEADERS="x-api-key=your-project-key"

# 3. Run your agent as usual: every call is traced
opentelemetry-instrument python agent.py
Why NexAITrace

Built for teams who want it simple, in their own cloud.

How we plan to compare with typical self-hosted LLM monitoring setups.

Typical self-hosted setupNexAITrace
What you runSeveral services, often with ClickHouse, Redis and object storage1 container + PostgreSQL
Where data livesYour cloud, or the vendor's cloud for hosted plansAlways your cloud
PricingEnterprise tiers usually in US dollarsFree community edition · licences in INR with GST invoices
AlertsEmail or SlackEmail, Teams, Slack and WhatsApp
SupportCommunity or overseasIndia time zone, direct
Private beta

Run AI agents in production? Help shape NexAITrace.

We're inviting a small group of teams to try NexAITrace free in their own cloud and tell us what they need. Tell us which cloud you use and roughly how many AI calls you make a day.