.env.example

# ─── Embedding API ───
# Use any OpenAI-compatible embedding service, or leave blank for local offline model (Xenova/all-MiniLM-L6-v2)
EMBEDDING_PROVIDER=openai_compatible
EMBEDDING_API_KEY=your-embedding-api-key
EMBEDDING_ENDPOINT=https://your-embedding-api.com/v1
EMBEDDING_MODEL=bge-m3

# ─── Summarizer API ───
# OpenAI-compatible LLM for one-sentence chunk summaries
# Leave blank to use rule-based fallback (no LLM needed)
SUMMARIZER_PROVIDER=openai_compatible
SUMMARIZER_API_KEY=your-summarizer-api-key
SUMMARIZER_ENDPOINT=https://api.openai.com/v1
SUMMARIZER_MODEL=gpt-4o-mini
SUMMARIZER_TEMPERATURE=0

# ─── Memory Viewer ───
# Port for the web-based Memory Viewer (default: 18799)
# VIEWER_PORT=18799

# ─── Tavily Search (optional) ───
# API key for Tavily web search (get from https://app.tavily.com)
# TAVILY_API_KEY=tvly-your-tavily-api-key

# ─── Telemetry (opt-out) ───
# Anonymous usage analytics to help improve the plugin.
# No memory content, queries, or personal data is ever sent — only tool names, latencies, and version info.
# Enabled by default. Set to false to opt-out.
# TELEMETRY_ENABLED=false
#
# Telemetry backend credentials (for maintainers / CI only).
# End users do NOT need to set these — they are bundled into the npm package at publish time.
# If not set and telemetry.credentials.json is absent, telemetry is silently disabled.
# MEMOS_ARMS_ENDPOINT=https://your-arms-endpoint.log.aliyuncs.com/rum/web/v2?workspace=...&service_id=...
# MEMOS_ARMS_PID=your-arms-pid
# MEMOS_ARMS_ENV=prod