AI-Memory-Quickstart

curl https://api.conare.ai/api/v1/status \
  -H "Authorization: Bearer $CONARE_KEY"

curl https://api.conare.ai/api/v1/memories \
  -H "Authorization: Bearer $CONARE_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "endUserId": "u_123",
    "content": "User prefers smaller islands, wants to avoid crowds. ASA 104 certified.",
    "containerTag": "profile"
  }'

# Rohe hybride Suche – im Sekundenbruchteil, ohne LLM. Dein Agent übernimmt das Reasoning.
curl https://api.conare.ai/api/v1/search \
  -H "Authorization: Bearer $CONARE_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "endUserId": "u_123", "query": "charter budget boat type", "limit": 10 }'

# Deep Recall – LLM-synthetisierte, mit Zitaten belegte Antwort (~3–6 s).
# Füge `answer` beim Session-Start in den System-Prompt deines Agenten ein.
curl https://api.conare.ai/api/v1/recall \
  -H "Authorization: Bearer $CONARE_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "endUserId": "u_123", "query": "what do we know about this user and their upcoming trip" }'