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Tracium
Tracium is an open-source observability layer for AI systems that tracks costs, traces requests, and debugs failures.
Tracium is an open-source observability platform designed for developers to monitor AI systems. It captures OpenTelemetry-native traces, metrics, and logs from applications without requiring code changes. Users track token spend, infrastructure costs, and latency across models, tools, and agents in real time. The platform features end-to-end request tracing, automated anomaly detection for cost and error spikes, and failure replay capabilities. It runs via self-hosted infrastructure or a managed cloud service, catering to developers and teams building multi-tenant SaaS and production AI applications.
Tracium at a glance
- Best for: Software engineer
- Runs on: Web, API, self-hosted, open source
- Pricing: Self-hosted core free; Developer $29/month; Startup $99/month; Scale $299/month
- Released: March 2026
- Category: AI research tool
- Website: tracium.ai
Key features
- Track token spend and infrastructure costs in real time
- Capture, classify, and replay request failures
- Trace requests end-to-end across tool hops and model invocations
- Slice usage, cost, latency, and outcomes by customer or workspace
- Inspect prompts and completions behind every call
- Automatically surface unusual spikes in cost, latency, and errors
Use it for
- Monitor AI agent behavior and costs
- Debug production AI system failures
- Track token spend and infrastructure costs
- Analyze usage and latency by workspace or customer
Alternatives to Tracium
- New Relic — Unified visibility across applications, infrastructure, and AI models.
- OpenObserve — Full observability stack at a fraction of the usual storage cost
- OpenLLMetry — Integrates into applications with just two lines of code.
- Middleware — It detects issues across infrastructure and APM and resolves them with an AI SRE agent.
- Laminar — It automatically detects agent failure patterns without manual definitions.
- Opik — It offers comprehensive tracing, automated evaluations, and open-source flexibility.
- OpenLIT — It enables comprehensive monitoring, evaluation, and management of AI agents via OpenTelemetry.
- TRAE — It features an autonomous coding agent that drives the entire development process.
- Parseable — An open, cost-effective observability platform with AI-native querying.
- Senro — Tests WebMCP tools and monitors AI agent behavior without building infrastructure.
- SoL Pi — Saves $8.75 to $13.50 per hour compared to native Codex and Claude Code systems.
- OpenCompass — It offers an objective, comprehensive, and credible open-source AI evaluation system.
All Tracium alternatives