Reliability
See the full decision chain
Trace planning, model calls, tool usage, and delegation paths in one timeline your team can act on.
Lumiqtrace gives engineering, AI Ops, and FinOps teams one place to trace, evaluate, and control real-world agent behavior before issues reach users.

Built to work with the AI stack your team already runs
Reliability
Trace planning, model calls, tool usage, and delegation paths in one timeline your team can act on.
Cost
Attribute costs by agent, operation, and model so optimization work happens with shared context, not guesswork.
Operations
Surface anomalies and root-cause context quickly so engineers, AI Ops, and PMs can respond with confidence.
One package. TypeScript or Python. No config files, no environment variables, no build steps.
Two lines of code. Your existing calls stay exactly the same. We capture everything silently.
Costs, latency, errors, traces, and AI-powered insights — all live in your dashboard within seconds.
Not just LLM call logs. Full agent lifecycle visibility — planning, delegation, tool execution, and quality evaluation.
See how your triage agent delegates to the order agent, which calls tools and makes LLM decisions. Interactive tree shows every span with cost, latency, and token counts.

No manual registration. Lumiqtrace detects agents from your telemetry and builds a live registry showing traces, cost, latency, error rates, memory usage, and which tools each agent uses.

Every trace shows which agents and tools were involved, not just which model was called. Filter by span kind — Agent, LLM, Tool, Planning, RAG, Chain — to find exactly what you need.

Auto-discovered tool usage table shows invocations, success rate, latency, cost, and which agents call each tool. Find the bottleneck before your users do.

Deploy evaluation templates for relevance, groundedness, coherence, toxicity, and agent-specific metrics. LLM-as-judge scores every trace automatically.

Lumiqtrace doesn't just show you what happened — it tells you why, and what to do about it. AI-powered intelligence surfaces incidents, correlates causes, and recommends fixes.

Wrap your existing SDK calls — we handle the rest. Automatic tracing across multi-step agent pipelines.
Lumiqtrace automatically detects and traces agent patterns from popular frameworks. No manual instrumentation required.
Function calling, tool_use, assistants API — auto-detected as agent tool spans
Tool use blocks, multi-turn agents — auto-detected with span kind inference
Gemini function calling, ADK agents — auto-traced with delegation tracking
Chains, agents, tools, callbacks — full graph traced via callback handler
Built around agent planning, delegation, tooling, and execution context — not only raw LLM requests.
Connect quality, latency, and cost signals so teams can triage faster with shared operational context.
From detection to root-cause exploration and follow-up decisions in one product flow.
| Lumiqtrace | Helicone | LangSmith | Langfuse | Braintrust | |
|---|---|---|---|---|---|
| Setup | Minimal code changes | Proxy config | SDK + config | SDK + config | SDK + config |
| Cost tracking | ✓ | ✓ | ◐ | ✓ | ✗ |
| P50/P90/P99 latency | ✓ | ✓ | ◐ | ◐ | ✗ |
| Trace flame graph | ✓ | ✗ | ✓ | ✓ | ✓ |
| AI Cost Optimizer | ✓ | ✗ | ✗ | ✗ | ✗ |
| AI Anomaly Detection | ✓ | ✗ | ✗ | ✗ | ✗ |
| Natural Language Query | ✓ | ✗ | ✗ | ✗ | ✗ |
| Root Cause Analysis | ✓ | ✗ | ✗ | ✗ | ✗ |
| Agent-native tracing | ✓ | ✗ | ◐ | ◐ | ◐ |
| Auto tool discovery | ✓ | ✗ | ✗ | ✗ | ✗ |
| Agent registry | ✓ | ✗ | ✗ | ✗ | ✗ |
| Multi-agent delegation | ✓ | ✗ | ✗ | ✗ | ✗ |
| Evaluation templates | ✓ | ✗ | ◐ | ◐ | ✓ |
| Free tier | 10K traces | 10K events | 5K traces | 50K obs. | 1K logs |
| Starting price | $29/mo | $50/mo | $39/mo | $59/mo | $50/mo |
Comparison reflects publicly available documentation and product behavior observed at the time of writing; features and pricing may change over time.
Most teams start with Pro and move to Team as agent volume and governance needs grow.
Agent observability is the practice of tracing, evaluating, and monitoring AI agent behavior in production. Unlike traditional LLM monitoring that tracks individual API calls, agent observability captures the full decision lifecycle — planning steps, tool usage, model calls, and delegation between agents — giving teams the context needed to debug failures, control costs, and ensure quality.
Lumiqtrace is built agent-first rather than LLM-first. It automatically discovers agents, tools, and delegation chains from your telemetry without manual registration. It also includes AI-powered cost optimization, anomaly detection, natural language querying, and root cause analysis — capabilities not available in LangSmith or Langfuse.
Setup takes under 5 minutes. Install the SDK (npm or pip), wrap your existing AI client with two lines of code, and traces appear in your dashboard within seconds. No config files, environment variables, or build steps required.
Lumiqtrace supports OpenAI, Anthropic, Google Gemini, LangChain, LangGraph, CrewAI, Google ADK, AutoGen, OpenRouter, and Vercel AI SDK. Agent patterns are auto-detected from popular frameworks with zero manual instrumentation.
Yes. The Starter plan is free and includes 10,000 traces per month, 14-day retention, and 2 projects. No credit card required. Most teams start with Pro ($79/month) for agent tracing, evaluation templates, and the AI Hub.
Yes. Lumiqtrace provides a swimlane timeline that visualizes agent delegation chains, tool execution, and LLM reasoning across multiple agents. You can click any span to inspect inputs, outputs, token usage, and cost attribution per agent.
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