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Ship Agents Without the Anxiety.

Traces. Logs. Metrics. Sessions. Costs. Your agents aren't black boxes anymore. Evals powered by LLM-as-Judge, datasets, and scorers. Prompts refined from real feedback. Anomalies caught. Alerts sent.

One continuous loop. Ship with confidence.

Observe
Evaluate
↻
Label
Alert
Observe
Traces, logs, metricsβ€”one place, zero blind spots
Quick Start
$ curl -fsSL https://raw.githubusercontent.com/opensearch-project/agentops/main/install.sh | bash

Works everywhere. Installs everything. πŸ”₯

Deploy to AWS One click to production

5 Minutes to Production Observability

From zero to full tracing in minutes. No complex configuration, no vendor lock-in.

main.py Python
from agentops import Client

# Initialize with one line
agentops.init(api_key="your_key")

# Your existing code works as-is
def process_request(prompt):
    response = llm.generate(prompt)
    return response

# Automatic OTEL traces captured
result = process_request("Hello AI")
Terminal Output
βœ“ Instrumentation initialized
βœ“ OTEL exporter configured
βœ“ Trace captured: process_request
βœ“ Cost tracked: $0.0023
βœ“ Latency: 342ms
β†’ View dashboard at http://localhost:8000

Choose Your Integration Style

Three paths to production observability. Pick the one that fits your workflow.

Pre-Instrumented Framework

Zero configuration. Just import and go. Perfect for getting started fast.

example.pypython
from agentops import Client
# One line initialization
agentops.init(api_key="your_key")
# Your existing code works as-is
def my_agent_function(prompt):
response = llm.generate(prompt)
return response
# Automatic OTEL traces, metrics, and logs
result = my_agent_function("Hello AI")

Key Benefits

  • Zero configuration required
  • Automatic instrumentation of popular frameworks
  • Instant OTEL traces and metrics
  • Works with existing code
  • Production-ready in 5 minutes

Why OpenTelemetry Matters

Built on the industry standard for observability. No compromises, no lock-in.

Industry Standard (CNCF)

OpenTelemetry is a CNCF graduated project, backed by major tech companies and trusted by thousands of organizations worldwide.

Learn more

Your Data, Your Rules

Own your observability data completely. Export to any backend, store locally, or switch providers anytime without losing history.

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Future-Proof Investment

Built on open standards that evolve with the industry. Your instrumentation code stays relevant as technology advances.

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No Vendor Lock-In

Switch observability backends in minutes, not months. Your instrumentation is portable across any OTEL-compatible platform.

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Language Agnostic

Consistent instrumentation across Python, JavaScript, Go, Java, and 10+ languages. One standard for your entire stack.

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Community Driven

Benefit from contributions by thousands of developers. Active community, extensive documentation, and continuous improvements.

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Everything You Need to Build Production AI

A complete platform for observability, evaluation, and optimization of your LLM applications

LLM Tracing

Complete visibility into every LLM call with automatic instrumentation and detailed performance metrics.

  • Auto instrumentation for popular frameworks
  • Cost per request tracking
  • Agent and RAG workflow tracking
python
from agentops import trace

@trace
def my_llm_call(prompt):
    response = openai.chat.completions.create(
        model="gpt-4-turbo",
        messages=[{"role": "user", "content": prompt}]
    )
    return response

# Automatically tracked:
# - Latency, tokens, cost
# - Input/output content
# - Model and parameters

Prompt Management

Version control and A/B test your prompts with a centralized prompt library and deployment system.

  • Version control for prompts
  • A/B testing and rollback
  • Collaborative prompt editing
Customer Support Prompt
Version 3.2 β€’ Production
Active
System Prompt

You are a helpful customer support assistant. Be concise, friendly, and always verify information before providing answers...

94%
Success Rate
1.2K
Uses Today
$0.12
Avg Cost

Evaluation Framework

Comprehensive evaluation suite with 10+ built-in methods and custom evaluator support.

  • Accuracy, relevance, and hallucination detection
  • Custom evaluator support
  • Automated regression testing
Accuracy 94%
Relevance 88%
Hallucination 96%
Toxicity 99%
Bias 92%
Coherence 90%
Fluency 95%
Custom 87%

AI Insights

Intelligent alerts and recommendations powered by automated analysis of your LLM usage patterns.

  • Anomaly detection and alerts
  • Cost optimization recommendations
  • Performance improvement suggestions

Cost Spike Detected

2 min ago

GPT-4 usage increased 340% in the last hour. Consider switching to GPT-3.5 for non-critical requests.

Optimization Opportunity

15 min ago

Your prompt for "summarization" could be 23% shorter without losing quality. Estimated savings: $420/month.

Loved by Developers

See what developers are saying about building with OpenTelemetry standards

Speed Wins

"5-minute setup. Tracing production requests immediately. This is what developer experience should feel like."

⚑ 5-minute setup vs 3-week integration

Sarah Chen

Sarah Chen

Senior Backend Engineer

TechCorp AI

OTEL Love

"Finally, an observability platform that doesn't lock me into proprietary formats. OTEL means I can switch backends anytime without rewriting instrumentation."

⚑ Zero vendor lock-in, full data portability

Marcus Johnson

Marcus Johnson

Staff Engineer

DataFlow Systems

Local Development

"Running everything locally during development is a game-changer. No more waiting for cloud deployments to debug issues."

⚑ Debug locally, deploy confidently

Emily Watson

Emily Watson

Lead Developer

InnovateLabs

Standards-First

"CNCF-backed OpenTelemetry gives me confidence this won't be deprecated next year. Standards matter for long-term projects."

⚑ Future-proof with industry standards

David Park

David Park

Principal Architect

CloudScale Inc

Framework Support

"Works seamlessly with LangChain, LlamaIndex, and our custom frameworks. The auto-instrumentation is brilliant."

⚑ Auto-instrumentation for all major frameworks

Priya Sharma

Priya Sharma

ML Engineer

AI Dynamics

Speed Wins

"From zero to full observability in under 10 minutes. The quickstart guide is the best I've seen in any dev tool."

⚑ 10-minute quickstart, production-ready

Alex Rivera

Alex Rivera

DevOps Engineer

StartupHub

OTEL Love

"OpenTelemetry compatibility means I can use Jaeger, Prometheus, or any OTEL-compatible backend. True flexibility."

⚑ Works with any OTEL backend

Lisa Zhang

Lisa Zhang

Platform Engineer

MegaCorp

Local Development

"Docker Compose setup for local dev is perfect. Spin up the entire stack in seconds, tear it down just as fast."

⚑ Local stack in seconds with Docker

Tom Anderson

Tom Anderson

Full Stack Developer

WebWorks