from cerebe import AsyncCerebe

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

results = await client.memory.search(
    query="What kind of explanations does the user prefer?",
    session_id="session_abc",
    limit=5,
    types=["semantic", "episodic"],
)

# `search` returns an APIResponse; the payload is a plain dict on `.data`.
for memory in results.data["memories"]:
    print(f"[{memory['memory_type']}] {memory['content']}")
    print(f"  Score: {memory['similarity_score']}")

import Cerebe from '@cerebe/sdk'

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

const results = await client.memory.search({
  query: 'What kind of explanations does the user prefer?',
  sessionId: 'session_abc',
  limit: 5,
  types: ['semantic', 'episodic'],
})

// The payload is on `results.data` (typed `unknown`); narrow it before use.
const { memories } = results.data as {
  memories: Array<{ memory_type: string; content: string; similarity_score: number }>
}
for (const memory of memories) {
  console.log(`[${memory.memory_type}] ${memory.content}`)
  console.log(`  Score: ${memory.similarity_score}`)
}

curl -X POST https://api.cerebe.ai/api/v1/memory/search \
  -H "X-API-Key: ck_live_..." \
  -H "Content-Type: application/json" \
  -d '{
    "query": "What kind of explanations does the user prefer?",
    "session_id": "session_abc",
    "limit": 5,
    "memory_types": ["semantic", "episodic"]
  }'