Complete AI Observabilityfor LLM Applications

Monitor, trace, and optimize your LLM applications with automatic cost tracking, performance analytics, and real-time insights across all providers.

✨ Zero-code setup • 🔒 Enterprise security • 📊 Real-time analytics

Start Tracing in 30 Seconds

Just initialize once and all your LLM calls are automatically traced with costs, performance metrics, and errors.

Python SDK

import Palantyra

# Initialize once
Palantyra.initialize(api_key="your-key")

from openai import OpenAI
client = OpenAI()

# All calls automatically traced!
response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Hello!"}]
)
# ↑ Cost, latency, tokens tracked automatically

What You Get

  • Automatic cost tracking
  • Performance monitoring
  • Error detection & alerts
  • Multi-provider support
  • Real-time dashboard
  • Session correlation

Everything You Need for AI Observability

From automatic tracing to advanced analytics, Palantyra provides comprehensive monitoring for your LLM applications.

Cost Tracking

Real-time cost calculation for all providers. Track spending by model, user, or session with detailed breakdowns and projections.

Performance Monitoring

Monitor latency, throughput, and performance metrics. Get insights into bottlenecks and optimization opportunities.

Error Analysis

Automatic error detection and categorization. Get alerts when error rates spike or new issues appear.

Multi-Provider Support

Works with OpenAI, Anthropic, DeepSeek, and any provider using the OpenAI SDK format. Unified monitoring across all.

Simple, Transparent Pricing

Currently only free version is available. Enterprise support coming soon!!

Free

$0/month

Perfect for getting started

  • 10K traces/month
  • 7-day retention
  • Basic analytics
  • Email support

Ready to Level Up Your AI Observability?

Join thousands of AI teams using Palantyra to monitor, optimize, and scale their LLM applications.

Free forever plan • No credit card required • Setup in minutes