Files
microdao-daarion/scripts/memory/create_agent_collections.sh
Apple ef3473db21 snapshot: NODE1 production state 2026-02-09
Complete snapshot of /opt/microdao-daarion/ from NODE1 (144.76.224.179).
This represents the actual running production code that has diverged
significantly from the previous main branch.

Key changes from old main:
- Gateway (http_api.py): expanded from ~40KB to 164KB with full agent support
- Router: new /v1/agents/{id}/infer endpoint with vision + DeepSeek routing
- Behavior Policy: SOWA v2.2 (3-level: FULL/ACK/SILENT)
- Agent Registry: config/agent_registry.yml as single source of truth
- 13 agents configured (was 3)
- Memory service integration
- CrewAI teams and roles

Excluded from snapshot: venv/, .env, data/, backups, .tgz archives

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-02-09 08:46:46 -08:00

34 lines
819 B
Bash
Executable File

#!/bin/bash
# Create standard Qdrant collections for a new agent
# Usage: ./create_agent_collections.sh <agent_id>
AGENT_ID=$1
QDRANT_URL=${QDRANT_URL:-http://localhost:6333}
DIMENSION=1024
if [ -z "$AGENT_ID" ]; then
echo "Usage: $0 <agent_id>"
exit 1
fi
COLLECTIONS=("messages" "docs" "memory_items" "user_context")
echo "Creating collections for agent: $AGENT_ID"
for type in "${COLLECTIONS[@]}"; do
collection="${AGENT_ID}_${type}"
echo -n " ${collection}... "
RESULT=$(curl -sS -X PUT "${QDRANT_URL}/collections/${collection}" \
-H "Content-Type: application/json" \
-d {vectors: {size: "${DIMENSION}", distance: Cosine}} 2>&1)
if echo "$RESULT" | grep -q "true"; then
echo "created"
else
echo "exists or error"
fi
done
echo "Done!"