adaline-logs

name	adaline-logs
description	Send traces and spans to Adaline for AI agent observability. Use when instrumenting LLM calls, tools, retrieval, embeddings, guardrails, or custom operations.

Adaline Logs

Concepts

Adaline Logs captures AI application execution as traces and spans.

Key terms:

• Trace — one end-to-end user request, agent run, job, or conversation turn
• Span — one operation inside a trace, such as an LLM call or retrieval step
• referenceId — caller-supplied ID for stitching traces/spans across services
• sessionId — groups related traces, such as a chat thread
• Content type — semantic span payload: Model, ModelStream, Tool, Retrieval, Embeddings, Function, Guardrail, or Other

Configuration

Set these environment variables when credentials are available:

• ADALINE_API_KEY — workspace API key from Admin > API Keys
• ADALINE_PROJECT_ID — project ID

Base URL: https://api.adaline.ai/v2

Quick Start

TypeScript SDK

import { Adaline } from '@adaline/client';
import type { LogSpanContent } from ;

 adaline =  ();
 monitor = adaline.({ : process..! });

 trace = monitor.({ : , :  });

 span = trace.({
  : ,
  : ,
});



span.({
  : ,
  : {
    : ,
    : ,
    : ,
    : .(openaiRequest),
    : .(openaiResponse),
  }  ,
});
span.();

trace.({ :  });
trace.();

 monitor.();
monitor.();