The DataDog for AI Agents
Monitor, debug, and test autonomous AI systems with production-grade observability
Traditional Testing Breaks With AI Agents
The same prompt can trigger different reasoning paths, tool calls, and outputs
Print Statement Debugging
Debugging agent failures with console.log and prayer
Non-Deterministic Testing
No standardized testing for AI that changes its mind
Compliance Gaps
Can't answer "Why did the agent do that?"
Custom Infrastructure
Every team reinvents logging and tracing
Framework Lock-in
LangSmith only works with LangChain
3 Integrated Layers for
Complete AI Agent Observability
Observability Layer
Auto-instrumentation for 10+ frameworks with one-line initialization
- prela.init() - One line to instrument everything
- <1% latency overhead, <10MB memory footprint
- OpenAI, Anthropic, LangChain, LlamaIndex, CrewAI, AutoGen, LangGraph, Swarm, n8n
- Real-time guardrails — PII, injection, content filtering
- Prompt management with versioning and stage promotion
- Drift detection with statistical baselines + anomaly alerts
Testing Layer
21+ assertion types with deterministic replay engine
- Structural, semantic, tool, and multi-agent assertions
- Re-run traces with different models for comparison
- Parallel evaluation with JUnit reporter for CI/CD
- Auto-generate eval suites from production traces
Collaboration Layer
Real-time updates with multi-tenant dashboards
- WebSocket updates with <1ms latency
- n8n workflows, multi-agent graph visualization
- Event-driven: ClickHouse + Redis
- AI-powered Debug Agent for root cause analysis
Built for Production AI Agents
Zero Configuration
Auto-detects and instruments all frameworks automatically
import prela
prela.init() # Auto-detects and instruments all frameworks
from langchain.agents import create_openai_agent
agent = create_openai_agent(...) # ← Automatically traced!Deterministic Replay
Capture, replay, and compare with full context preservation
Semantic diff: 94% similarity
Multi-Agent Native
The only tool supporting all 4 major multi-agent frameworks
Real-Time Updates
WebSocket infrastructure with <1ms notification latency
Debug Agent
AI-powered root cause analysis with failure chain tracing and actionable fix suggestions
Error: Rate limit exceeded
agent.py:142 → llm_call()
Root Cause
Missing retry logic + no rate limit backoff
Suggested Fix
Add exponential backoff with max_retries=3
Guardrails & Security
Real-time guardrails with prompt injection detection, PII scanning, and content filtering across all LLM calls
Email address in prompt
Ignore previous instructions...
No issues in 847 other spans
Prompt Management
Version-controlled prompt templates with variable substitution, stage-based promotion, and full history tracking
You are a helpful {{role}}...
Classify: {{text}}...
Hello {{name}}!
Eval Generation
Auto-generate comprehensive test suites from your production traces
Generated from 1,247 production traces
Why Choose Prela?
See how we compare to other observability tools
| Feature | Prela | LangSmith | Langfuse |
|---|---|---|---|
| Framework Agnostic | 10+ frameworks | LangChain only | Limited |
| Multi-Agent Support | CrewAI, AutoGen, LangGraph, Swarm | ||
| Deterministic Replay | Full context + modifications | ||
| Real-Time Updates | <1ms WebSocket | Polling | Polling |
| Open Source SDK | Apache 2.0 | Partial | MIT |
| AI Debug Agent | Root cause + fix suggestions | ||
| Guardrails & Security | Guardrails + PII + injection (free) | ||
| Eval Generation | From production traces | Manual only | |
| Drift Detection | Statistical baselines | ||
| Prompt Management | Versioned + stage promotion | Hub | Basic |
| LLM-as-Judge | Built-in eval assertions | LangSmith evals | Custom only |
| Alerting | 6 metrics, 3 channels | Basic |
Production-Ready
Get Started in 60 Seconds
Install SDK
pip install prelaInitialize (2 lines)
import prela
prela.init() # That's it!View Traces
Start free. Scale as you grow.
Free
For individual developers
- 50k traces
- Core SDK features
- Community support
Lunch Money
For hobbyists and side projects
- Replay engine
- All frameworks
- Email support
Pro
For teams building production AI
- Debug Agent (AI root cause)
- Security scanning
- Drift detection + alerts
- Eval generation
Enterprise
For organizations at scale
- Compliance & audit logs
- SSO & SAML
- Dedicated infrastructure
- SLA guarantee
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