Replaces the minimal project description with a comprehensive README including a component overview table, quick start instructions, common Ansible operations, and links to detailed documentation. Aligns with Red Panda Approval™ standards.
148 lines
5.7 KiB
Django/Jinja
148 lines
5.7 KiB
Django/Jinja
# Arke Environment Configuration
|
|
# Edit these values as needed before deployment
|
|
|
|
# ============================================================================
|
|
# Server Configuration
|
|
# ============================================================================
|
|
HOST=0.0.0.0
|
|
PORT={{ arke_port }}
|
|
DEBUG=false
|
|
LOG_LEVEL=info
|
|
RELOAD={{ arke_reload | default('false') }}
|
|
|
|
# ============================================================================
|
|
# PostgreSQL Database Configuration
|
|
# ============================================================================
|
|
DB_HOST={{ arke_db_host }}
|
|
DB_PORT={{ arke_db_port }}
|
|
DB_NAME={{ arke_db_name }}
|
|
DB_USER={{ arke_db_user }}
|
|
DB_PASSWORD={{ arke_db_password }}
|
|
|
|
# ============================================================================
|
|
# Memcached Configuration
|
|
# ============================================================================
|
|
MEMCACHED_HOST={{ arke_memcached_host | default('localhost') }}
|
|
MEMCACHED_PORT={{ arke_memcached_port | default('11211') }}
|
|
|
|
# ============================================================================
|
|
# NTTh API Configuration
|
|
# ============================================================================
|
|
# --- NTTh Backend (Token Pool) ---
|
|
# NTTh is treated specially as it manages a pool of tokens with session limits
|
|
NTTH_BACKEND_ENABLED=true
|
|
NTTH_SESSION_LIMIT=90
|
|
NTTH_SESSION_TTL=3600
|
|
NTTH_TOKEN_CACHE_TTL=82800
|
|
|
|
# NTTh Tokens (numbered, add as many as needed)
|
|
NTTH_TOKEN_1_NAME={{ntth_token_1_app_name}}
|
|
NTTH_TOKEN_1_APP_ID={{ntth_token_1_app_id}}
|
|
NTTH_TOKEN_1_APP_SECRET={{ntth_token_1_app_secret}}
|
|
|
|
NTTH_TOKEN_2_NAME={{ntth_token_2_app_name}}
|
|
NTTH_TOKEN_2_APP_ID={{ntth_token_2_app_id}}
|
|
NTTH_TOKEN_2_APP_SECRET={{ntth_token_2_app_secret}}
|
|
|
|
NTTH_TOKEN_3_NAME={{ntth_token_3_app_name}}
|
|
NTTH_TOKEN_3_APP_ID={{ntth_token_3_app_id}}
|
|
NTTH_TOKEN_3_APP_SECRET={{ntth_token_3_app_secret}}
|
|
|
|
NTTH_TOKEN_4_NAME={{ntth_token_4_app_name}}
|
|
NTTH_TOKEN_4_APP_ID={{ntth_token_4_app_id}}
|
|
NTTH_TOKEN_4_APP_SECRET={{ntth_token_4_app_secret}}
|
|
|
|
# Session Management
|
|
SESSION_LIMIT={{ arke_session_limit | default('90') }}
|
|
SESSION_TTL={{ arke_session_ttl | default('3600') }}
|
|
TOKEN_CACHE_TTL={{ arke_token_cache_ttl | default('82800') }}
|
|
|
|
# ============================================================================
|
|
# Embedding Provider Configuration
|
|
# ============================================================================
|
|
# Choose your embedding provider: 'ollama' or 'openai'
|
|
EMBEDDING_PROVIDER={{arke_embedding_provider}}
|
|
|
|
# --- OpenAI-Compatible Configuration (when EMBEDDING_PROVIDER=openai) ---
|
|
# Works with OpenAI API, llama-cpp, LocalAI, and other compatible services
|
|
OPENAI_EMBEDDING_BASE_URL={{arke_openai_embedding_base_url}}
|
|
OPENAI_EMBEDDING_API_KEY={{arke_openai_embedding_api_key}}
|
|
OPENAI_EMBEDDING_MODEL={{arke_openai_embedding_model}}
|
|
|
|
# --- Embedding Configuration ---
|
|
EMBEDDING_TIMEOUT={{ arke_embedding_timeout | default('30.0') }}
|
|
EMBEDDING_BATCH_SIZE={{arke_embedding_batch_size}}
|
|
EMBEDDING_UBATCH_SIZE={{arke_embedding_ubatch_size}}
|
|
EMBEDDING_MAX_CONTEXT={{arke_embedding_max_context}}
|
|
|
|
# ============================================================================
|
|
# Memory System Configuration
|
|
# ============================================================================
|
|
MEMORY_ENABLED={{ arke_memory_enabled | default('true') }}
|
|
MAX_CONTEXT_TOKENS={{ arke_max_context_tokens | default('8000') }}
|
|
SIMILARITY_THRESHOLD={{ arke_similarity_threshold | default('0.7') }}
|
|
MIN_IMPORTANCE_SCORE={{ arke_min_importance_score | default('0.7') }}
|
|
|
|
# ============================================================================
|
|
# Message Size Limits
|
|
# ============================================================================
|
|
# Maximum tokens allowed for incoming messages (default: 32768)
|
|
# This limit prevents excessively large requests that could overwhelm the system
|
|
MESSAGE_MAX_TOKENS=700000
|
|
|
|
# ============================================================================
|
|
# Background Task Configuration (Async Embedding Generation)
|
|
# ============================================================================
|
|
# Enable background task processing for async operations
|
|
BACKGROUND_TASKS_ENABLED=true
|
|
|
|
# Number of worker threads for background tasks
|
|
BACKGROUND_TASK_WORKERS=5
|
|
|
|
# Maximum retry attempts for failed tasks
|
|
BACKGROUND_TASK_MAX_RETRIES=3
|
|
|
|
# Initial retry delay in seconds (uses exponential backoff)
|
|
BACKGROUND_TASK_RETRY_DELAY=1.0
|
|
|
|
# Cleanup interval for old completed/failed tasks (hours)
|
|
BACKGROUND_TASK_CLEANUP_HOURS=24
|
|
|
|
# --- Async Embedding Configuration ---
|
|
# Enable async embedding generation (non-blocking)
|
|
ASYNC_EMBEDDINGS_ENABLED=true
|
|
|
|
# Number of messages to batch together for embedding generation
|
|
ASYNC_EMBEDDING_BATCH_SIZE=50
|
|
|
|
# Priority level for embedding tasks: LOW, NORMAL, HIGH, CRITICAL
|
|
ASYNC_EMBEDDING_PRIORITY=NORMAL
|
|
|
|
# --- Async Deduplication Configuration ---
|
|
# Enable async document enhancement (non-blocking embedding generation for deduplicated documents)
|
|
ASYNC_DEDUPLICATION_ENABLED=true
|
|
|
|
# Number of documents to batch together for enhancement
|
|
DEDUPLICATION_BATCH_SIZE=20
|
|
|
|
# Priority level for document enhancement tasks: LOW, NORMAL, HIGH, CRITICAL
|
|
DEDUPLICATION_ENHANCEMENT_PRIORITY=NORMAL
|
|
|
|
# Enable HTML content extraction and processing
|
|
HTML_CONTENT_EXTRACTION=true
|
|
|
|
# Minimum token count for document deduplication
|
|
MIN_TOKENS_FOR_DEDUP=500
|
|
|
|
# Semantic similarity threshold for duplicate detection (0.0-1.0)
|
|
DEDUPLICATION_THRESHOLD=0.95
|
|
|
|
# Reference expansion strategy: smart, full, summary, minimal
|
|
REFERENCE_EXPANSION_STRATEGY=smart
|
|
|
|
# ============================================================================
|
|
# Monitoring Configuration
|
|
# ============================================================================
|
|
PROMETHEUS_ENABLED=true
|
|
METRICS_PORT={{arke_metrics_port}}
|