.env.example

# --- Slack Configuration ---
# Get these from api.slack.com/apps
SLACK_APP_TOKEN=xapp-1-XXXXXXXXX
SLACK_BOT_TOKEN=xoxb-XXXXXXXXX

# --- LLM Configuration (llama.cpp / vLLM) ---
LLM_PROVIDER=openai
LLM_BASE_URL=http://0.0.0.0:8003
LLM_MODEL=qwen3-coder
LLM_API_KEY=  # Optional for local LLMs
LLM_TEMPERATURE=0.8
LLM_TOP_P=0.95
LLM_TOP_K=40
LLM_MAX_TOKENS=-1
LLM_PRESENCE_PENALTY=0.0
LLM_FREQUENCY_PENALTY=0.0
# LLM_SEED=42
LLM_MIN_P=0.05
LLM_TYPICAL_P=1.0

# --- MCP Servers ---
# Comma-separated list of HTTP/SSE endpoints for your MCP servers.
# These would typically be sidecars (localhost) or cluster-internal services.
MCP_SERVERS=http://localhost:8080,http://localhost:8081,http://localhost:8082

# --- Access Control ---
# Comma-separated Slack User IDs allowed to perform destructive actions.
ALLOWED_USER_IDS=U12345678,U87654321
# Comma-separated Slack Channel IDs where the bot is allowed to operate.
ALLOWED_CHANNEL_IDS=C12345678

# --- Automated Remediation ---
# Maps alert patterns to Argo Workflow templates
RECIPE_MAPPINGS=pod_restart:restart-pod-workflow,oom_killed:scale-up-memory

# --- Memory System Configuration ---
# Set to 'true' to enable persistent memory via Qdrant & SQLite
MEMORY_ENABLED=false
MEMORY_QDRANT_ADDR=localhost:6334
MEMORY_QDRANT_COLLECTION=eve
MEMORY_QDRANT_API_KEY=your_qdrant_api_key_here
MEMORY_SQLITE_PATH=./eve_memory.db

# Embedder (ollama, openai, or llama-cpp) for multi-vector search
MEMORY_EMBEDDER_TYPE=llama-cpp
MEMORY_EMBEDDER_MODEL=bge-m3-q8_0
MEMORY_EMBEDDER_URL=http://localhost:8080
# MEMORY_EMBEDDER_API_KEY=xoxb-XXXXXXXXX  # Required if using openai

# Memory search options
MEMORY_SEARCH_LIMIT=10
MEMORY_MIN_SCORE=0.7