chore(security): remove credential-like defaults
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.gitignore
vendored
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.gitignore
vendored
@ -17,3 +17,4 @@ ecosystem.config.js.bak-*
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# Codex/editor backup directories
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.codex-backup-*/
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.serena/
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@ -2,21 +2,24 @@
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"""Load blog-training-alpaca.jsonl into PostgreSQL learning_corpus table via psql."""
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import json
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import os
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import subprocess
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import sys
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from pathlib import Path
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from urllib.parse import urlparse
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JSONL_FILE = Path(__file__).parent.parent / "data" / "blog-training-alpaca.jsonl"
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DB_URL = "postgresql://llm:llm_secure_2026@127.0.0.1:15432/llm_gateway"
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DB_URL = os.environ.get("FT_DB_URL", "postgresql://llm@localhost:15432/llm_gateway")
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PSQL_BIN = os.environ.get("PSQL_BIN", "psql")
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TASK_TYPE = "tip_blog"
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# Parse connection details
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parts = DB_URL.replace("postgresql://", "").split("@")
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creds = parts[0].split(":")
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db_user, db_pass = creds[0], creds[1]
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host_port = parts[1].split("/")
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host, port = host_port[0].split(":")
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db_name = host_port[1]
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parsed = urlparse(DB_URL)
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db_user = parsed.username or "llm"
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db_pass = parsed.password or os.environ.get("PGPASSWORD")
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host = parsed.hostname or "localhost"
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port = str(parsed.port or 5432)
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db_name = parsed.path.lstrip("/") or "llm_gateway"
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print("🔄 Loading blog training data into PostgreSQL...")
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print(f" File: {JSONL_FILE}")
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@ -66,10 +69,12 @@ with open(tmpfile, "w") as f:
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# Execute via psql
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try:
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env = {"PGPASSWORD": db_pass}
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env = os.environ.copy()
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if db_pass:
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env["PGPASSWORD"] = db_pass
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result = subprocess.run(
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[
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"/opt/homebrew/bin/psql",
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PSQL_BIN,
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"-h", host,
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"-p", port,
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"-U", db_user,
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@ -1,16 +1,13 @@
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#!/bin/bash
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# Load blog-training-alpaca.jsonl into PostgreSQL learning_corpus table
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JSONL_FILE="/Users/renefichtmueller/Desktop/Claude Code/llm-gateway/packages/fine-tuner/data/blog-training-alpaca.jsonl"
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DB_URL="postgresql://llm:llm_secure_2026@127.0.0.1:15432/llm_gateway"
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JSONL_FILE="${JSONL_FILE:-$(cd "$(dirname "$0")/.." && pwd)/data/blog-training-alpaca.jsonl}"
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DB_HOST="${DB_HOST:-localhost}"
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DB_PORT="${DB_PORT:-15432}"
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DB_NAME="${DB_NAME:-llm_gateway}"
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DB_USER="${DB_USER:-llm}"
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TASK_TYPE="tip_blog"
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# Parse connection string
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DB_HOST=$(echo "$DB_URL" | sed -n 's/.*@\([^:]*\).*/\1/p')
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DB_PORT=$(echo "$DB_URL" | sed -n 's/.*:\([0-9]*\)\/.*/\1/p')
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DB_NAME=$(echo "$DB_URL" | sed -n 's/.*\/\(.*\)$/\1/p')
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DB_USER="llm"
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echo "🔄 Loading blog training data into PostgreSQL..."
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echo " Host: $DB_HOST:$DB_PORT"
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echo " Database: $DB_NAME"
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@ -29,7 +26,7 @@ SELECT COUNT(*) as "Rows before" FROM learning_corpus WHERE task_type = :task_ty
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EOF
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# Use Python to parse JSONL and generate SQL
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python3 << PYEOF
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python3 << PYEOF >> "$TMPFILE"
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import json
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import sys
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@ -63,10 +60,12 @@ print("\n-- Count after")
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print(f"SELECT COUNT(*) as \"Rows after\" FROM learning_corpus WHERE task_type = '{task_type}';")
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print("COMMIT;")
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PYEOF >> "$TMPFILE"
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PYEOF
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# Execute SQL
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PGPASSWORD="llm_secure_2026" psql -h "$DB_HOST" -p "$DB_PORT" -U "$DB_USER" -d "$DB_NAME" -f "$TMPFILE"
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: "${PGPASSWORD:?Set PGPASSWORD before running this script}"
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export PGPASSWORD
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psql -h "$DB_HOST" -p "$DB_PORT" -U "$DB_USER" -d "$DB_NAME" -f "$TMPFILE"
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# Cleanup
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rm "$TMPFILE"
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@ -1,5 +1,5 @@
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#!/bin/bash
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# start.sh — Launch fine-tuner with SSH tunnel to Erik's PostgreSQL
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# start.sh — Launch fine-tuner with SSH tunnel to PostgreSQL
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#
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# Usage:
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# ./scripts/start.sh # run fine-tuner
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@ -9,11 +9,11 @@
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set -euo pipefail
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cd "$(dirname "$0")/.."
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TUNNEL_PORT=5434
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SSH_HOST="erik"
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REMOTE_PG_PORT=5432
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TUNNEL_PORT="${TUNNEL_PORT:-5434}"
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SSH_HOST="${FT_SSH_HOST:?Set FT_SSH_HOST before running this script}"
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REMOTE_PG_PORT="${REMOTE_PG_PORT:-5432}"
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echo "[start.sh] Opening SSH tunnel to Erik:${REMOTE_PG_PORT} → localhost:${TUNNEL_PORT}"
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echo "[start.sh] Opening SSH tunnel to ${SSH_HOST}:${REMOTE_PG_PORT} -> localhost:${TUNNEL_PORT}"
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# Kill any existing tunnel on that port
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pkill -f "ssh.*${TUNNEL_PORT}:localhost:${REMOTE_PG_PORT}" 2>/dev/null || true
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@ -36,9 +36,9 @@ trap cleanup EXIT
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# Run fine-tuner with tunnel DB URL
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# Fine-tuner reads FT_DB_URL (see src/main.py load_config)
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export FT_DB_URL="postgresql://llm:llm_secure_2026@localhost:${TUNNEL_PORT}/llm_gateway"
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export FT_GATEWAY_URL="https://llm-gateway.context-x.org"
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export FT_OLLAMA_URL="http://localhost:11434"
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export FT_DB_URL="${FT_DB_URL:-postgresql://llm@localhost:${TUNNEL_PORT}/llm_gateway}"
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export FT_GATEWAY_URL="${FT_GATEWAY_URL:-http://localhost:3100}"
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export FT_OLLAMA_URL="${FT_OLLAMA_URL:-http://localhost:11434}"
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echo "[start.sh] Starting fine-tuner..."
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# Route --status / --dry-run / --task-type / --general / --dpo to manual_trigger.py
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@ -54,9 +54,9 @@ logger = logging.getLogger(__name__)
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_BASE_DIR = Path(__file__).parent.parent
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_DEFAULT_CONFIG = _BASE_DIR / "config" / "fine_tuner.yaml"
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DEFAULT_DB_URL = "postgresql://llm:llm_secure_password@localhost:5432/llm_gateway"
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DEFAULT_DB_URL = "postgresql://llm@localhost:5432/llm_gateway"
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DEFAULT_GATEWAY_URL = "http://localhost:3100"
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DEFAULT_OLLAMA_URL = "http://192.168.178.169:11434"
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DEFAULT_OLLAMA_URL = "http://localhost:11434"
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def load_config(path: Optional[str] = None) -> dict:
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@ -203,7 +203,7 @@ LIGHTRAG_PORT=3140
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ENVIRONMENT=production
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# LLM Backend
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OLLAMA_URL=http://192.168.178.213:11434
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OLLAMA_URL=http://localhost:11434
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OLLAMA_MODEL=qwen2.5:14b
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# Vector Database
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@ -211,7 +211,7 @@ QDRANT_URL=http://localhost:6333
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EMBEDDING_MODEL=bge-m3
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# PostgreSQL
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DATABASE_URL=postgresql://tip_kg:password@localhost:5432/tip_lightrag
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DATABASE_URL=postgresql://tip_kg@localhost:5432/tip_lightrag
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DB_POOL_SIZE=10
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# Hybrid Retrieval
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@ -230,17 +230,17 @@ pip install -r requirements.txt
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python scripts/init_db.py
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# Run sidecar
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uvicorn app.main:app --host 0.0.0.0 --port 3140 --reload
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uvicorn app.main:app --host localhost --port 3140 --reload
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```
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### Erik Deployment
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### Remote Deployment
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```bash
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# Copy to Erik
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scp -r packages/lightrag-sidecar/ erik:/opt/llm-gateway/packages/
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scp -r packages/lightrag-sidecar/ "$DEPLOY_HOST:$APP_DIR/packages/"
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# Install on Erik
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cd /opt/llm-gateway/packages/lightrag-sidecar
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cd "$APP_DIR/packages/lightrag-sidecar"
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python -m venv venv
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source venv/bin/activate
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pip install -r requirements.txt
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@ -17,7 +17,7 @@ class Settings(BaseSettings):
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# LLM Backend
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LLM_BACKEND: Literal["ollama", "claude"] = "ollama"
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OLLAMA_URL: str = "http://192.168.178.213:11434"
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OLLAMA_URL: str = "http://localhost:11434"
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OLLAMA_MODEL: str = "qwen2.5:14b" # For entity extraction
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# Vector Search
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@ -27,7 +27,7 @@ class Settings(BaseSettings):
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VECTOR_SIMILARITY_THRESHOLD: float = 0.7
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# Database
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DATABASE_URL: str = "postgresql://tip_kg:password@localhost/tip_lightrag"
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DATABASE_URL: str = "postgresql://tip_kg@localhost/tip_lightrag"
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DB_POOL_SIZE: int = 10
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DB_ECHO: bool = False # SQL logging
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@ -1,5 +1,5 @@
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/**
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* PM2 Ecosystem Config — LightRAG Sidecar on Erik (217.154.82.179)
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* PM2 Ecosystem Config - LightRAG Sidecar
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*
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* Deploy: pm2 start packages/lightrag-sidecar/ecosystem.config.cjs
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* Reload: pm2 reload lightrag-sidecar
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@ -12,10 +12,10 @@ module.exports = {
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{
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name: 'lightrag-sidecar',
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script: 'app/main.py',
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cwd: '/opt/llm-gateway/packages/lightrag-sidecar',
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cwd: process.env.LIGHTRAG_CWD || process.cwd(),
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interpreter: '/usr/bin/python3',
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interpreter_args: '-m uvicorn',
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args: 'app.main:app --host 0.0.0.0 --port 3140 --workers 2',
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args: `app.main:app --host ${process.env.HOST || 'localhost'} --port ${process.env.PORT || '3140'} --workers 2`,
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instances: 1,
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exec_mode: 'fork',
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env: {
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@ -24,11 +24,11 @@ module.exports = {
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ENVIRONMENT: 'production',
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LIGHTRAG_DOMAIN: 'transceiver',
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LLM_BACKEND: 'ollama',
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OLLAMA_URL: 'https://ollama.fichtmueller.org',
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OLLAMA_URL: process.env.OLLAMA_URL || 'http://localhost:11434',
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OLLAMA_MODEL: 'qwen2.5:14b',
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QDRANT_URL: 'http://localhost:6333',
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EMBEDDING_MODEL: 'bge-m3',
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DATABASE_URL: 'postgresql://tip_kg:tip_secure_2026@localhost:5432/tip_lightrag',
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DATABASE_URL: process.env.DATABASE_URL || 'postgresql://tip_kg@localhost:5432/tip_lightrag',
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DB_POOL_SIZE: '10',
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MAX_WORKERS: '4',
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LOG_LEVEL: 'info',
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