example.env

ORIGIN=http://localhost:5173

# LLM provider (OpenAI-compatible)
PROVIDER_API_KEY=your-api-key-here
LLM_PROVIDER_BASE_URL=http://localhost:1234/v1
MAIN_MODEL=your-model-here

MAX_TOKENS=50000
FIRST_ROUND_MAX_STEPS=10
TOOL_CLASSIFY_TIMEOUT_MS=15000
TOOL_CLASSIFY_MODEL=your-model-here
RELEVANCE_CHECK_MODEL=your-model-here

# Multi-MCP servers for chat tool calling (JSON array, $VAR resolved from env)
# If MCP_SERVERS is not set, falls back to GITHUB_TOKEN/GITHUB_MCP_URL
MCP_SERVERS='[{"id":"github","label":"GitHub","url":"https://api.githubcopilot.com/mcp/","token":"$GITHUB_TOKEN","readonly":true,"tools":"list_issues,get_me,list_pull_requests,pull_request_read,issue_read,search_repositories,get_tag,search_issues,get_file_contents"},{"id":"macula","label":"Macula","url":"https://u.macula.link/mcp","token":"public","readonly":true,"homepage":"https://macula.link"}]'
GITHUB_TOKEN=

# Webhook for notifications
WOSS_USER_WEBHOOK_URL=
WOSS_USER_WEBHOOK_ERROR_URL=
WOSS_USER_WEBHOOK_TOKEN=

# LLM cache toggle (set false to bypass semantic cache for testing)
LLM_CACHE_ENABLED=true

PUBLIC_WOSS_MAX_MESSAGES=50
PUBLIC_WOSS_MAX_CHATS=100

# Datadog APM + Logs
DD_API_KEY=
DD_ENV=production
DD_SITE=datadoghq.eu

# Datadog RUM (public-safe — prefix must be PUBLIC_)
PUBLIC_DD_RUM_APP_ID=
PUBLIC_DD_RUM_CLIENT_TOKEN=
PUBLIC_APP_VERSION=0.0.0