Add monitoring TG service

.env.example

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+# Telegram MTProto credentials — get from https://my.telegram.org
+TG_API_ID=
+TG_API_HASH=
+TG_PHONE=
+
+# --- ONE OF THE TWO BELOW IS REQUIRED ---
+# Preferred (no volumes, k8s-friendly): get the string by running
+#   docker compose run --rm -it app python -m parser_bot.auth
+# It prints `TG_SESSION_STRING=...` — paste that line here.
+TG_SESSION_STRING=
+
+# Fallback (file-based): only used if TG_SESSION_STRING is empty.
+# Requires mounting ./data/session as a volume.
+TG_SESSION_PATH=/data/session/parser.session
+
+# Postgres
+POSTGRES_USER=parser
+POSTGRES_PASSWORD=parser
+POSTGRES_DB=parser
+POSTGRES_HOST=db
+POSTGRES_PORT=5432
+
+# Polling
+POLL_INTERVAL_SECONDS=60
+POLL_HISTORY_LIMIT=50
+
+# API
+API_HOST=0.0.0.0
+API_PORT=8000
+
+# Media (downloaded photos / small videos / docs from parsed messages)
+MEDIA_DIR=/data/media
+MEDIA_MAX_BYTES=20971520
+
+# Local LLM (Ollama) — runs Qwen 2.5 7B Q4 on CPU. Set LLM_ENABLED=false to disable.
+LLM_ENABLED=true
+LLM_BASE_URL=http://ollama:11434
+LLM_MODEL=qwen2.5:7b-instruct-q4_K_M
+LLM_TIMEOUT_SECONDS=120
+LLM_MIN_TEXT_LENGTH=20
+# How often the background classifier wakes up and how many messages it
+# processes per tick. With 5/20s ≈ 900 messages/hour at ~3-6s per call.
+LLM_CLASSIFY_INTERVAL_SECONDS=20
+LLM_CLASSIFY_BATCH_SIZE=5
+
+# Admin allowlist for /auth.html, /docs, /openapi.json, /redoc and the
+# /api/v1/auth/* endpoints. Comma-separated list of client IPs.
+# Empty = no restriction (everyone is admin) — convenient for local dev.
+# Example: ADMIN_ALLOWED_IPS=89.110.109.221,127.0.0.1
+ADMIN_ALLOWED_IPS=
+# Honor X-Forwarded-For / X-Real-IP from a reverse proxy (Docker port-
+# forward, nginx, traefik) when resolving the client IP for the allowlist.
+TRUST_PROXY_HEADERS=true
+