# Honcho Environment Variables Template
# Copy this file to .env and fill in the appropriate values
#
# Required variables are marked with (REQUIRED)
# Optional variables have default values and can be left commented out

# =============================================================================
# Application Settings
# =============================================================================
LOG_LEVEL=INFO
# SESSION_OBSERVERS_LIMIT=10
# GET_CONTEXT_MAX_TOKENS=100000
# MAX_FILE_SIZE=5242880 # Bytes
# MAX_MESSAGE_SIZE=25000 # Characters

# Embedding settings
# EMBED_MESSAGES=true
# MAX_EMBEDDING_TOKENS=8192
# MAX_EMBEDDING_TOKENS_PER_REQUEST=300000

# LANGFUSE_HOST=
# LANGFUSE_PUBLIC_KEY=

# COLLECT_METRICS_LOCAL=false
# LOCAL_METRICS_FILE=metrics.jsonl
# REASONING_TRACES_FILE=traces.jsonl  # Path to JSONL file for reasoning traces

# NAMESPACE="honcho"

# =============================================================================
# Database Settings (REQUIRED)
# =============================================================================
# Connection URI for PostgreSQL database with pgvector support
# Must use postgresql+psycopg prefix for SQLAlchemy compatibility
DB_CONNECTION_URI=postgresql+psycopg://postgres:postgres@localhost:5432/postgres

# Optional database settings
# DB_SCHEMA=public
# DB_POOL_CLASS=default
# DB_POOL_SIZE=10
# DB_MAX_OVERFLOW=20
# DB_POOL_TIMEOUT=30
# DB_POOL_RECYCLE=300
# DB_POOL_PRE_PING=true
# DB_POOL_USE_LIFO=true
# DB_SQL_DEBUG=false
# DB_TRACING=false

# =============================================================================
# Authentication Settings
# =============================================================================
# Whether to enable authentication (set to true for production)
AUTH_USE_AUTH=false

# JWT secret key (REQUIRED if AUTH_USE_AUTH=true)
# Generate with: python scripts/generate_jwt_secret.py
# AUTH_JWT_SECRET=your-secret-key-here

# =============================================================================
# LLM API Keys (REQUIRED for full functionality)
# =============================================================================
# OpenAI API key for embeddings
LLM_OPENAI_API_KEY=your-openai-api-key-here

# Anthropic API key for dialectic and deriver functionality
LLM_ANTHROPIC_API_KEY=your-anthropic-api-key-here

# Google API key for summarization (if using Gemini)
# LLM_GEMINI_API_KEY=your-google-api-key-here

# Groq API key for query generation (if using Groq)
# LLM_GROQ_API_KEY=your-groq-api-key-here

# Base URL for OpenAI Compatible Requests if you want to use a different provider
# LLM_OPENAI_COMPATIBLE_BASE_URL=
# LLM_OPENAI_COMPATIBLE_API_KEY=

# Separate vLLM endpoint (for local models)
# LLM_VLLM_API_KEY=
# LLM_VLLM_BASE_URL=

# =============================================================================
# LLM Configuration
# =============================================================================
# Global LLM settings
# LLM_DEFAULT_MAX_TOKENS=2500
# LLM_EMBEDDING_PROVIDER=openai
# LLM_MAX_TOOL_OUTPUT_CHARS=10000  # Max chars for tool output (~2500 tokens)
# LLM_MAX_MESSAGE_CONTENT_CHARS=2000  # Max chars per message in tool results

# =============================================================================
# Deriver (Background Worker) Settings
# =============================================================================
# DERIVER_ENABLED=true
# DERIVER_WORKERS=1
# DERIVER_POLLING_SLEEP_INTERVAL_SECONDS=1.0
# DERIVER_STALE_SESSION_TIMEOUT_MINUTES=5
# DERIVER_QUEUE_ERROR_RETENTION_SECONDS=2592000  # 30 days
# DERIVER_PROVIDER=google
# DERIVER_MODEL=gemini-2.5-flash-lite
# DERIVER_TEMPERATURE=
# DERIVER_DEDUPLICATE=true
# DERIVER_MAX_OUTPUT_TOKENS=4096
# DERIVER_THINKING_BUDGET_TOKENS=1024
# DERIVER_LOG_OBSERVATIONS=false
# DERIVER_MAX_INPUT_TOKENS=23000
# DERIVER_WORKING_REPRESENTATION_MAX_OBSERVATIONS=100
# DERIVER_REPRESENTATION_BATCH_MAX_TOKENS=1024
# DERIVER_FLUSH_ENABLED=false  # Bypass batch token threshold, process work immediately
# DERIVER_BACKUP_PROVIDER=
# DERIVER_BACKUP_MODEL=

# =============================================================================
# Peer Card Configuration
# =============================================================================
# PEER_CARD_ENABLED=true

# =============================================================================
# Dialectic Settings
# =============================================================================
# Global dialectic settings
# DIALECTIC_MAX_OUTPUT_TOKENS=8192
# DIALECTIC_MAX_INPUT_TOKENS=100000
# DIALECTIC_HISTORY_TOKEN_LIMIT=8192
# DIALECTIC_SESSION_HISTORY_MAX_TOKENS=4096

# Per-level settings (reasoning_level parameter in API)
# Each level can have its own provider, model, thinking budget, tool iterations, and max output tokens
# MAX_OUTPUT_TOKENS is optional per level; if not set, uses global DIALECTIC_MAX_OUTPUT_TOKENS

# Minimal level
# DIALECTIC_LEVELS__minimal__PROVIDER=google
# DIALECTIC_LEVELS__minimal__MODEL=gemini-2.5-flash-lite
# DIALECTIC_LEVELS__minimal__THINKING_BUDGET_TOKENS=0
# DIALECTIC_LEVELS__minimal__MAX_TOOL_ITERATIONS=1
# DIALECTIC_LEVELS__minimal__MAX_OUTPUT_TOKENS=250  # Reduced output for cost savings

# Low level
# DIALECTIC_LEVELS__low__PROVIDER=google
# DIALECTIC_LEVELS__low__MODEL=gemini-2.5-flash-lite
# DIALECTIC_LEVELS__low__THINKING_BUDGET_TOKENS=0
# DIALECTIC_LEVELS__low__MAX_TOOL_ITERATIONS=5
# DIALECTIC_LEVELS__low__MAX_OUTPUT_TOKENS=8192  # Optional: override global default

# Medium level
# DIALECTIC_LEVELS__medium__PROVIDER=anthropic
# DIALECTIC_LEVELS__medium__MODEL=claude-haiku-4-5
# DIALECTIC_LEVELS__medium__THINKING_BUDGET_TOKENS=1024
# DIALECTIC_LEVELS__medium__MAX_TOOL_ITERATIONS=2
# DIALECTIC_LEVELS__medium__MAX_OUTPUT_TOKENS=8192  # Optional: override global default
# DIALECTIC_LEVELS__medium__TOOL_CHOICE=

# High level
# DIALECTIC_LEVELS__high__PROVIDER=anthropic
# DIALECTIC_LEVELS__high__MODEL=claude-haiku-4-5
# DIALECTIC_LEVELS__high__THINKING_BUDGET_TOKENS=1024
# DIALECTIC_LEVELS__high__MAX_TOOL_ITERATIONS=4
# DIALECTIC_LEVELS__high__MAX_OUTPUT_TOKENS=8192  # Optional: override global default

# Max level
# DIALECTIC_LEVELS__max__PROVIDER=anthropic
# DIALECTIC_LEVELS__max__MODEL=claude-haiku-4-5
# DIALECTIC_LEVELS__max__THINKING_BUDGET_TOKENS=2048
# DIALECTIC_LEVELS__max__MAX_TOOL_ITERATIONS=10
# DIALECTIC_LEVELS__max__MAX_OUTPUT_TOKENS=8192  # Optional: override global default
# Optional backup per level (must set both or neither):
# DIALECTIC_LEVELS__max__BACKUP_PROVIDER=google
# DIALECTIC_LEVELS__max__BACKUP_MODEL=gemini-2.5-pro

# =============================================================================
# Summary Settings
# =============================================================================
# SUMMARY_ENABLED=true
# SUMMARY_MESSAGES_PER_SHORT_SUMMARY=20
# SUMMARY_MESSAGES_PER_LONG_SUMMARY=60
# SUMMARY_PROVIDER=google
# SUMMARY_MODEL=gemini-2.5-flash
# SUMMARY_MAX_TOKENS_SHORT=1000
# SUMMARY_MAX_TOKENS_LONG=4000
# SUMMARY_THINKING_BUDGET_TOKENS=512
# SUMMARY_BACKUP_PROVIDER=
# SUMMARY_BACKUP_MODEL=

# =============================================================================
# Dream Settings
# =============================================================================
# DREAM_ENABLED=true
# DREAM_DOCUMENT_THRESHOLD=50
# DREAM_IDLE_TIMEOUT_MINUTES=60
# DREAM_MIN_HOURS_BETWEEN_DREAMS=8
# DREAM_ENABLED_TYPES=["omni"]
# DREAM_PROVIDER=anthropic
# DREAM_MODEL=claude-sonnet-4-20250514
# DREAM_MAX_OUTPUT_TOKENS=16384
# DREAM_THINKING_BUDGET_TOKENS=8192
# DREAM_MAX_TOOL_ITERATIONS=20
# DREAM_HISTORY_TOKEN_LIMIT=16384
# DREAM_BACKUP_PROVIDER=
# DREAM_BACKUP_MODEL=

# Specialist models (use same provider as main model)
# DREAM_DEDUCTION_MODEL=claude-haiku-4-5
# DREAM_INDUCTION_MODEL=claude-haiku-4-5

# Dream Surprisal Settings (Tree-based observation sampling for targeted reasoning)
# DREAM_SURPRISAL__ENABLED=false
# DREAM_SURPRISAL__TREE_TYPE=kdtree  # Options: kdtree, balltree, rptree, covertree, lsh, graph, prototype
# DREAM_SURPRISAL__TREE_K=5  # Number of neighbors for kNN-based trees
# DREAM_SURPRISAL__SAMPLING_STRATEGY=recent  # Options: recent, random, all
# DREAM_SURPRISAL__SAMPLE_SIZE=200  # Number of observations to sample for tree building
# DREAM_SURPRISAL__TOP_PERCENT_SURPRISAL=0.10  # Top percentage of observations (0.10 = top 10%)
# DREAM_SURPRISAL__MIN_HIGH_SURPRISAL_FOR_REPLACE=10  # Hybrid mode: min observations to replace standard questions
# DREAM_SURPRISAL__INCLUDE_LEVELS=["explicit","deductive"]  # Observation levels to include

# =============================================================================
# Webhook Settings
# =============================================================================
# WEBHOOK_SECRET=
# WEBHOOK_MAX_WORKSPACE_LIMIT=10

# =============================================================================
# Monitoring and Observability (Optional)
# =============================================================================
# Sentry error tracking
# SENTRY_ENABLED=false
# SENTRY_DSN=your-sentry-dsn-here
# SENTRY_RELEASE=your-release-semver
# SENTRY_ENVIRONMENT=development
# SENTRY_TRACES_SAMPLE_RATE=0.1
# SENTRY_PROFILES_SAMPLE_RATE=0.1

# =============================================================================
# Prometheus Metrics Settings (Pull-based metrics)
# =============================================================================
# METRICS_ENABLED=false
# METRICS_NAMESPACE=honcho  # Inherits from NAMESPACE if not set

# =============================================================================
# CloudEvents Telemetry Settings (Analytics events)
# =============================================================================
# TELEMETRY_ENABLED=false
# TELEMETRY_ENDPOINT=https://telemetry.honcho.dev/v1/events
# TELEMETRY_HEADERS={"Authorization": "Bearer your-token"}  # JSON string for auth headers
# TELEMETRY_BATCH_SIZE=100
# TELEMETRY_FLUSH_INTERVAL_SECONDS=1.0
# TELEMETRY_FLUSH_THRESHOLD=50
# TELEMETRY_MAX_RETRIES=3
# TELEMETRY_MAX_BUFFER_SIZE=10000
# TELEMETRY_NAMESPACE=honcho  # Inherits from NAMESPACE if not set

# =============================================================================
# Cache
# =============================================================================
# CACHE_ENABLED=false
# CACHE_URL="redis://localhost:6379/0?suppress=true"
# CACHE_NAMESPACE="honcho"  # Inherits from NAMESPACE if not set
# CACHE_DEFAULT_TTL_SECONDS=300
# CACHE_DEFAULT_LOCK_TTL_SECONDS=5

# =============================================================================
# Vector Store Settings
# =============================================================================
# Vector store type: "pgvector", "turbopuffer", or "lancedb"
VECTOR_STORE_TYPE=pgvector

# Migration flag: set to true when migration from pgvector is complete
VECTOR_STORE_MIGRATED=false

# Global namespace prefix for all vector namespaces
# Namespaces follow the pattern: {NAMESPACE}.{type}.{hash}
# where hash is a base64url-encoded SHA-256 of the workspace/peer names
# - Documents: {NAMESPACE}.doc.{hash(workspace, observer, observed)}
# - Messages: {NAMESPACE}.msg.{hash(workspace)}
# VECTOR_STORE_NAMESPACE=honcho  # Inherits from NAMESPACE if not set

# Embedding dimensions (default: 1536 for OpenAI text-embedding-3-small)
# VECTOR_STORE_DIMENSIONS=1536

# Turbopuffer-specific settings (required if TYPE is "turbopuffer")
# VECTOR_STORE_TURBOPUFFER_API_KEY=your-turbopuffer-api-key
# VECTOR_STORE_TURBOPUFFER_REGION=gcp-us-east4

# LanceDB-specific settings (local embedded mode)
# VECTOR_STORE_LANCEDB_PATH=./lancedb_data

# Reconciliation interval for background sync (default: 5 minutes)
# VECTOR_STORE_RECONCILIATION_INTERVAL_SECONDS=300