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Documentation Index

Fetch the complete documentation index at: https://docs.uselumina.io/docs/llms.txt

Use this file to discover all available pages before exploring further.

Track individual LLM calls with automatic attribute extraction.

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Basic Usage

const response = await lumina.traceLLM(
  () =>
    openai.chat.completions.create({
      model: 'gpt-4',
      messages: [{ role: 'user', content: 'Hello!' }],
    }),
  {
    name: 'chat-completion',
    system: 'openai',
    prompt: 'Hello!',
  }
);

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Automatic Attributes

Lumina automatically extracts:
  • Model name
  • Token counts (prompt, completion)
  • Latency (milliseconds)
  • Cost (USD)
  • Status (success/error)
  • Response text

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Custom Metadata

Add custom attributes: 
await lumina.traceLLM(
  () => llm.generate(prompt),
  {
    name: 'chat',
    metadata: {
      userId: 'user-123',
      sessionId: 'session-456',
      feature: 'customer-support',
    },
  }
);

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Next Steps

Multi-Span Tracing

Track complex workflows with hierarchical spans