Observe

import { client } from './agentmark.client';
import { openai } from '@ai-sdk/openai';
import { generateText } from 'ai';

const prompt = await client.loadTextPrompt('greeting.prompt.mdx');
const { messages, text_config } = await prompt.format({
  props: { name: 'Alice' },
});

const result = await generateText({
  model: openai(text_config.model_name.replace(/^openai\//, '')),
  messages,
  experimental_telemetry: {
    isEnabled: true,
    functionId: 'greeting-handler',
    // Session/user keys in metadata must be snake_case to group traces (see Sessions)
    metadata: {
      user_id: 'user-123',
      session_id: 'session-abc',
      session_name: 'Customer Support Chat'
    }
  }
});

# Query traces from the local dev server
curl -fsS "http://localhost:9418/v1/traces?limit=10"

# Get a specific trace with all its spans
curl -fsS "http://localhost:9418/v1/traces/<traceId>"

# Same calls against Cloud — set AGENTMARK_API_KEY + AGENTMARK_APP_ID
curl -fsS "https://api.agentmark.co/v1/traces?limit=10" \
  -H "Authorization: Bearer $AGENTMARK_API_KEY" \
  -H "X-Agentmark-App-Id: $AGENTMARK_APP_ID"

# Check which features are available on a given server
curl -fsS "http://localhost:9418/v1/capabilities"