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Arcbeam is an for LLM applications. It captures complete execution of your RAG pipelines, agent workflows, and model calls.

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Key Capabilities

  • Trace every interaction - Monitor model calls, retrievals, and tool executions with full context
  • Track data lineage - See which vector database documents influenced each output
  • Manage costs - Monitor token usage and API costs across all models
  • Debug effectively - Get complete context for errors including inputs, outputs, and timing
  • Collaborate with teams - Create trace collections for review and feedback

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How It Works

1

Instrument your application

Add the Arcbeam connector to your Python or JavaScript code with a few lines.
2

Traces are sent automatically

Every LLM call, retrieval, and tool use is captured via .
3

Connect your data sources

Link vector databases to see which documents are retrieved in each trace.
4

Analyze in the dashboard

View traces, track costs, and debug issues with full visibility into your AI system.

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What You Can Track

LLM Calls

Monitor all model interactions with token counts, costs, latency, and errors

Data Retrieval

See which documents are retrieved from vector databases and how they’re used

Agent Workflows

Visualize multi-step agent executions with full tool call history

Costs & Performance

Track spending across models and identify performance bottlenecks

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Common Use Cases

Trace wrong answers back to the exact documents that were retrieved. See why your RAG system chose certain content and understand retrieval quality issues.
Identify expensive traces and compare costs across different models. Track token usage patterns and find opportunities to reduce spending without sacrificing quality.
Track error rates, response times, and usage across environments. Set up alerts for anomalies and maintain SLAs with real-time visibility.
Discover which documents are valuable and which go unused. Use data lineage to optimize your vector database and improve retrieval relevance.
Create trace collections for team review and feedback. Share specific examples of issues or successes with stakeholders.

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Next Steps

Quickstart

Get Arcbeam running in 5 minutes

Send Traces

Instrument your application

Connect Data

Link your vector databases

View Traces

Start analyzing your data

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Support

Questions? Contact support@arcbeam.ai.