from cerebe import AsyncCerebe

client = AsyncCerebe(api_key="ck_live_...")

result = await client.memory.harvest(
    session_id="session_abc",
    transcript=[
        {"role": "user", "content": "I really struggle with fractions"},
        {"role": "assistant", "content": "Let me try a visual approach..."},
        {"role": "user", "content": "Oh that makes much more sense! I love diagrams"},
    ],
    entity_id="student_456",
)

# The payload is a plain dict on `.data`.
for memory in result.data["harvested_memories"]:
    print(f"[{memory['memory_type']}] {memory['summary']}")
    print(f"  Confidence: {memory['confidence']}")

import Cerebe from '@cerebe/sdk'

const client = new Cerebe({ apiKey: 'ck_live_...' })

const result = await client.memory.harvest({
  sessionId: 'session_abc',
  transcript: [
    { role: 'user', content: 'I really struggle with fractions' },
    { role: 'assistant', content: 'Let me try a visual approach...' },
    { role: 'user', content: 'Oh that makes much more sense! I love diagrams' },
  ],
  entityId: 'student_456',
})

// The payload is on `result.data` (typed `unknown`); narrow it before use.
const { harvested_memories } = result.data as {
  harvested_memories: Array<{ memory_type: string; summary: string; confidence: number }>
}
for (const memory of harvested_memories) {
  console.log(`[${memory.memory_type}] ${memory.summary}`)
  console.log(`  Confidence: ${memory.confidence}`)
}

curl -X POST https://api.cerebe.ai/api/v1/memory/harvest \
  -H "X-API-Key: ck_live_..." \
  -H "Content-Type: application/json" \
  -d '{
    "session_id": "session_abc",
    "transcript": [
      {"role": "user", "content": "I really struggle with fractions"},
      {"role": "assistant", "content": "Let me try a visual approach..."},
      {"role": "user", "content": "Oh that makes much more sense! I love diagrams"}
    ],
    "entity_id": "student_456"
  }'