Eval-First LLM Observability. Not Another APM.

Auto-evaluate every trace. Detect prompt drift. Auto-curate datasets from production — and alert your team the moment quality drops. Not just observability. A feedback loop.

TRUSTED BY 500+ LEADING AI COMPANIES

Evals ran to date[-17,646,832,289+]

HOW IT WORKS

Your users shouldn't be your QA team.

1. 01

Instrument with two lines of code.

Drop in our SDK or use OpenTelemetry, LangChain, or any major framework. Full traces in minutes.

2. 02

Evaluate every trace automatically.

Run eval metrics on 100% of traces — no sampling. See exactly what changed across versions.

3. 03

Know the moment quality drops.

Set thresholds on any metric. Get notified the moment quality drops — before users do.

4. 04

Let your next eval dataset builds itself.

Production traces auto-curate into eval datasets — filtered, tagged, ready to regress against.

Integration

2 lines / OpenTelemetry

from deepeval import observe
@observe(type="agent")

Frameworks & SDKs

OpenAI
LangChain
LangGraph
OpenTelemetry
LlamaIndex
Pydantic AI
CrewAI
Vercel AI
LiteLLM
Portkey
Bedrock
Claude

Frameworks 12+
OTel native
Setup <2m

Online Evaluations

Metrics auto-evaluated on every ingested trace.

Configure Trace Alerts

This alert will ring when the number of trace count per hour falls below 30

1. Configure Alert Event

   • Data Model: Trace
   • Aggregation: Trace Count

2. Customize Advanced Filters

   Faithfulness

   • 1 Passing

3. Set Alert Conditions

   • Threshold: Above 12
   • Frequency: Daily

Preview

See how the alert graph will look based on your selected alert settings.

Dataset Auto-Curation

Production traces flow into evaluation datasets — filtered, tagged, and ready.

Rows Curated: 1,247
Unique Tags: 18
Last Sync: 2m ago

PLATFORM

LLM tracing that closes the loop.

User Input Request 1 msg Router Router 14ms Planner Agent Span 1.2s Retriever Retrieval 440ms Executor Agent Span 2.8s Search Tool Call 210ms Vector DB Tool Call 390ms Code Tool Tool Call 1.9s Aggregator Merge 88ms Response Output OK

Agent graph view

Visualize every tool call, handoff, and decision branch in your agent workflows. Debug complex chains without reading logs line by line.

Trace annotations

Leave feedback directly on any trace or span. Flag hallucinations, tag edge cases, and build institutional knowledge right where the data lives.

Model endpoint, cost, & latency tracking

Track spend and response times across models, prompts, and endpoints. Know exactly where your budget is going and what's slowing things down.

Live alerting

Get notified the moment eval scores drop, latency spikes, or error rates climb. Slack, PagerDuty, email — wherever your team already lives.

BUILT TO SCALE

$1/GB tracing. No retention surprises.

Other platforms advertise big storage tiers, then silently expire your traces in 14-30 days. We're $1/GB — one of the lowest in the market — and you choose how long your data lives.

TESTIMONIALS

Trusted by companies that take AI seriously.

Finom: Before Confident AI, a single improvement cycle took 10 days — I'd create a task, assign it to an engineer, wait for availability, and go back and forth. Now the same cycle takes three hours, and our product managers can run it themselves.

Anoop Mahajan, Director of QA, Amdocs: Confident AI saves us 480+ hours of manual AI evaluation every month.

Sean Austin, Chief AI Officer, Humach: We run a lot of large-scale, multi-turn simulations, and Confident AI made it far easier to design scenarios and execute those tests without piecing together external tools.

John Lemmon, AI Lead, Supernormal: Thanks to Confident AI, we were able to move to a fine-tuned model and cut our LLM costs by 80%.

FAQ

Have a Question?

What can I monitor in production?

Track latency, cost, token usage, error rates, and response quality in real time. Set up alerts for anomalies — like latency spikes or sudden drops in quality scores.

Can I trace complex agent workflows?

Yes — no matter how deep the nesting goes. Every step in your agent's chain is captured in a nested trace.

I use [insert your framework here] — can I use tracing?

Almost certainly. We integrate with various frameworks.

I have millions of traces per month. How does pricing scale?

Tracing is billed at $1 per extra GB ingested or retained.

What alerting systems do you support?

Email, Slack, Discord, and Microsoft Teams today.

I don't want to be vendor-locked. How easy is it to export my traces?

Your data is yours. We provide full APIs to export any trace at any time.