# =============================================================================
# DeepWiki Environment Configuration
# Copy this file to .env and fill in the values
# =============================================================================

# -----------------------------------------------------------------------------
# GitLab OAuth2 SSO (Required)
# -----------------------------------------------------------------------------
# Self-hosted GitLab instance URL
GITLAB_URL=https://gitlab.yourcompany.com
# OAuth Application credentials (Admin > Applications > New Application)
# Redirect URI: http://localhost:3000/auth/callback
# Scopes: read_user, read_api, read_repository
GITLAB_CLIENT_ID=
GITLAB_CLIENT_SECRET=
# JWT signing key (generate with: openssl rand -hex 32)
JWT_SECRET_KEY=

# -----------------------------------------------------------------------------
# GitLab Batch Indexing (Required for pre-vectorization)
# -----------------------------------------------------------------------------
# Service Account PAT with read access to target groups
# (Admin > Service Accounts > Create, then generate PAT with read_api scope)
GITLAB_SERVICE_TOKEN=
# Comma-separated Group IDs to pre-vectorize
GITLAB_BATCH_GROUPS=
# Optional: cron expression for scheduled re-indexing (default: disabled)
# BATCH_INDEX_SCHEDULE=0 2 * * *

# -----------------------------------------------------------------------------
# Admin Access Control
# -----------------------------------------------------------------------------
# Comma-separated list of GitLab usernames with admin access to /admin page
# ADMIN_USERNAMES=zhangsan,lisi

# -----------------------------------------------------------------------------
# Permission Cache
# -----------------------------------------------------------------------------
# TTL in seconds for permission cache (default: 300 = 5 minutes)
# PERMISSION_CACHE_TTL=300

# -----------------------------------------------------------------------------
# LLM Provider API Keys (at least one required)
# -----------------------------------------------------------------------------
OPENAI_API_KEY=
GOOGLE_API_KEY=
# OPENROUTER_API_KEY=

# -----------------------------------------------------------------------------
# AWS Bedrock (optional, for Bedrock models)
# -----------------------------------------------------------------------------
# AWS_ACCESS_KEY_ID=
# AWS_SECRET_ACCESS_KEY=
# AWS_SESSION_TOKEN=
# AWS_REGION=us-east-1
# AWS_ROLE_ARN=

# -----------------------------------------------------------------------------
# Azure OpenAI (optional)
# -----------------------------------------------------------------------------
# AZURE_OPENAI_API_KEY=
# AZURE_OPENAI_ENDPOINT=
# AZURE_OPENAI_VERSION=

# -----------------------------------------------------------------------------
# Ollama (optional, for local models)
# -----------------------------------------------------------------------------
# OLLAMA_HOST=http://localhost:11434

# -----------------------------------------------------------------------------
# Embedder Configuration
# -----------------------------------------------------------------------------
# Options: openai (default), google, ollama, bedrock
# DEEPWIKI_EMBEDDER_TYPE=openai

# -----------------------------------------------------------------------------
# Server Configuration
# -----------------------------------------------------------------------------
# Backend API port
# PORT=8001
# Backend URL for frontend proxy
# SERVER_BASE_URL=http://localhost:8001
# Frontend origin for CORS (used in OAuth callback redirect)
# FRONTEND_ORIGIN=http://localhost:3000
# Custom config directory path
# DEEPWIKI_CONFIG_DIR=api/config/

# -----------------------------------------------------------------------------
# Ask Agent (Deep Agents SDK embedded in the existing FastAPI server)
# -----------------------------------------------------------------------------
# GitLab SSO and already-indexed local source clones are required.
# Uses the existing model/provider configuration unless overridden here.
# AGENT_ENABLED=true
# AGENT_PROVIDER=openai
# AGENT_MODEL=your-tool-calling-model
# OpenAI-compatible proxy, also used by the agent adapter
# OPENAI_BASE_URL=https://your-model-proxy/v1
# Storage defaults to ~/.adalflow/agent (covered by the existing Docker volume).
# AGENT_DATA_DIR=/root/.adalflow/agent
# Run only ONE API worker per agent data directory.
# AGENT_MAX_CONCURRENT_RUNS=4
# Maximum waiting analyses; logged-in and public Ask share the same worker pool.
# AGENT_MAX_QUEUED_RUNS=32
# Public Ask is disabled until an administrator publishes groups in /admin.
# Its settings default to ~/.adalflow/metadata/public_ask.json.
# PUBLIC_ASK_SETTINGS_PATH=/root/.adalflow/metadata/public_ask.json
# AGENT_RUN_TIMEOUT_SECONDS=900
# Input-context budget used for automatic summarization. Set <= your model's limit.
# Current gateway model supports 1,000,000 input tokens; automatic compaction at 85%.
# AGENT_CONTEXT_TOKENS=1000000
# Maximum summary output, not an analysis-turn or final-answer limit.
# AGENT_SUMMARY_TOKENS=2000
# Summary generation allowance includes reasoning tokens; final summary stays bounded separately.
# AGENT_SUMMARY_GENERATION_TOKENS=8192

# -----------------------------------------------------------------------------
# Logging
# -----------------------------------------------------------------------------
# LOG_LEVEL=INFO
# LOG_FILE_PATH=api/logs/application.log
# LOG_MAX_SIZE=10
# LOG_BACKUP_COUNT=5