# 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
PERFORMANCE_LOG_FORMAT=compact # compact|rich
# SESSION_OBSERVERS_LIMIT=10
# GET_CONTEXT_MAX_TOKENS=100000
# MAX_FILE_SIZE=5242880 # Bytes
# MAX_MESSAGE_SIZE=25000 # Characters

# Embedding settings
# EMBED_MESSAGES=true
# EMBEDDING_VECTOR_DIMENSIONS=1536
# EMBEDDING_MAX_INPUT_TOKENS=8192
# EMBEDDING_MAX_TOKENS_PER_REQUEST=300000
# EMBEDDING_MODEL_CONFIG__TRANSPORT=openai
# EMBEDDING_MODEL_CONFIG__MODEL=text-embedding-3-small
# EMBEDDING_MODEL_CONFIG__MAX_BATCH_SIZE=10
# EMBEDDING_MODEL_CONFIG__OVERRIDES__BASE_URL=
# EMBEDDING_MODEL_CONFIG__OVERRIDES__API_KEY_ENV=

# LANGFUSE_HOST=
# LANGFUSE_PUBLIC_KEY=
# LANGFUSE_SECRET_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=5  # seconds a pooled checkout waits for a free connection (QueuePool only)
# DB_POOL_RECYCLE=300
# DB_POOL_PRE_PING=true
# DB_POOL_USE_LIFO=true
# DB_SQL_DEBUG=false
# DB_TRACING=false
# Per-connection establish timeout (seconds) so a single connection attempt
# fails fast instead of hanging when the server/pooler is unreachable.
# DB_CONNECT_TIMEOUT_SECONDS=2

# =============================================================================
# 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 Provider (REQUIRED)
# =============================================================================
# Honcho uses LLMs for memory extraction, summarization, dialectic chat, and
# dream consolidation. The server will fail to start without a provider configured.
#
# Quick start: set LLM_OPENAI_API_KEY below to use the built-in defaults.
# Text-generation features default to transport = "openai" and
# model = "gpt-5.4-mini". Embeddings default to transport = "openai" and
# model = "text-embedding-3-small". For OpenAI-compatible proxies
# (OpenRouter, Together, Fireworks, vLLM, Ollama, LiteLLM), override
# MODEL_CONFIG__MODEL and MODEL_CONFIG__OVERRIDES__BASE_URL on each feature
# section you want to route through that endpoint.
# Models must support tool calling (function calling).
#
# Supported transports: openai, anthropic, gemini
# Each transport picks up its API key from the corresponding LLM_*_API_KEY.
# Base URLs are set per-module via MODEL_CONFIG__OVERRIDES__BASE_URL.
#
LLM_OPENAI_API_KEY=your-api-key-here
# LLM_ANTHROPIC_API_KEY=
# LLM_GEMINI_API_KEY=

# =============================================================================
# LLM Configuration
# =============================================================================
# Global LLM settings
# LLM_DEFAULT_MAX_TOKENS=2500
# 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)
# =============================================================================
# DERIVER_ENABLED=true
# Defaults:
# DERIVER_MODEL_CONFIG__TRANSPORT=openai
# DERIVER_MODEL_CONFIG__MODEL=gpt-5.4-mini
# Optional overrides:
# DERIVER_MODEL_CONFIG__MODEL=your-model-here
# DERIVER_MODEL_CONFIG__OVERRIDES__BASE_URL=https://openrouter.ai/api/v1
# DERIVER_WORKERS=1
# DERIVER_POLLING_SLEEP_INTERVAL_SECONDS=1.0
# Adaptive polling: grows the idle/error sleep from the base toward the max by
# the multiplier each cycle, snapping back to base when work is found.
# DERIVER_POLLING_BACKOFF_ENABLED=true
# DERIVER_POLLING_SLEEP_MAX_INTERVAL_SECONDS=30.0
# DERIVER_POLLING_BACKOFF_MULTIPLIER=2.0
# Jitter so instances that start together don't poll in lockstep. Startup: sleep
# a random delay in [0, value] before the first poll (0.0 disables). Per-cycle:
# multiply every poll sleep by a random factor in [1-ratio, 1+ratio] (0.0 disables).
# DERIVER_POLLING_STARTUP_JITTER_SECONDS=30.0
# DERIVER_POLLING_JITTER_RATIO=0.5
# DERIVER_STALE_SESSION_TIMEOUT_MINUTES=5
# DERIVER_QUEUE_ERROR_RETENTION_SECONDS=2592000  # 30 days
# DERIVER_MODEL_CONFIG__TEMPERATURE=
# DERIVER_MODEL_CONFIG__THINKING_EFFORT=minimal
# DERIVER_MODEL_CONFIG__THINKING_BUDGET_TOKENS=1024  # Gemini/Anthropic only
# DERIVER_MODEL_CONFIG__STRUCTURED_OUTPUT_MODE=json_object  # for providers without json_schema support
# DERIVER_DEDUPLICATE=true
# DERIVER_MODEL_CONFIG__MAX_OUTPUT_TOKENS=4096
# DERIVER_LOG_OBSERVATIONS=false
# DERIVER_MAX_INPUT_TOKENS=25000
# DERIVER_MAX_CUSTOM_INSTRUCTIONS_TOKENS=2000
# DERIVER_WORKING_REPRESENTATION_MAX_OBSERVATIONS=100
# DERIVER_REPRESENTATION_BATCH_WORK_UNIT_TARGET_TOKENS=512  # Min tokens a work unit accumulates before the deriver claims it; 0 disables the gate
# DERIVER_REPRESENTATION_BATCH_TARGET_INPUT_TOKENS=1024  # Max context-window tokens per deriver LLM call
# DERIVER_REPRESENTATION_BATCH_MAX_AGE_SECONDS=1800
# DERIVER_FLUSH_ENABLED=false  # Bypass batch token threshold, process work immediately
# DERIVER_MODEL_CONFIG__FALLBACK__MODEL=
# DERIVER_MODEL_CONFIG__FALLBACK__TRANSPORT=
# DERIVER_MODEL_CONFIG__OVERRIDES__BASE_URL=
# DERIVER_MODEL_CONFIG__OVERRIDES__API_KEY_ENV=

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

# =============================================================================
# Dialectic
# =============================================================================
# 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 has its own nested MODEL_CONFIG, tool iterations, and max output tokens.
# MAX_OUTPUT_TOKENS is optional per level; if not set, uses global DIALECTIC_MAX_OUTPUT_TOKENS.
# Defaults:
# DIALECTIC_LEVELS__minimal__MODEL_CONFIG__TRANSPORT=openai
# DIALECTIC_LEVELS__minimal__MODEL_CONFIG__MODEL=gpt-5.4-mini
# DIALECTIC_LEVELS__minimal__MAX_TOOL_ITERATIONS=1
# DIALECTIC_LEVELS__minimal__MAX_OUTPUT_TOKENS=250
# DIALECTIC_LEVELS__minimal__TOOL_CHOICE=auto
# DIALECTIC_LEVELS__low__MODEL_CONFIG__TRANSPORT=openai
# DIALECTIC_LEVELS__low__MODEL_CONFIG__MODEL=gpt-5.4-mini
# DIALECTIC_LEVELS__low__MAX_TOOL_ITERATIONS=5
# DIALECTIC_LEVELS__low__TOOL_CHOICE=auto
# DIALECTIC_LEVELS__medium__MODEL_CONFIG__TRANSPORT=openai
# DIALECTIC_LEVELS__medium__MODEL_CONFIG__MODEL=gpt-5.4-mini
# DIALECTIC_LEVELS__medium__MAX_TOOL_ITERATIONS=2
# DIALECTIC_LEVELS__high__MODEL_CONFIG__TRANSPORT=openai
# DIALECTIC_LEVELS__high__MODEL_CONFIG__MODEL=gpt-5.4-mini
# DIALECTIC_LEVELS__high__MAX_TOOL_ITERATIONS=4
# DIALECTIC_LEVELS__max__MODEL_CONFIG__TRANSPORT=openai
# DIALECTIC_LEVELS__max__MODEL_CONFIG__MODEL=gpt-5.4-mini
# DIALECTIC_LEVELS__max__MAX_TOOL_ITERATIONS=10
# Optional overrides (model and OpenAI-compatible base URL are per-level):
# DIALECTIC_LEVELS__minimal__MODEL_CONFIG__MODEL=your-model-here
# DIALECTIC_LEVELS__minimal__MODEL_CONFIG__OVERRIDES__BASE_URL=https://openrouter.ai/api/v1
# DIALECTIC_LEVELS__low__MODEL_CONFIG__MODEL=your-model-here
# DIALECTIC_LEVELS__low__MODEL_CONFIG__OVERRIDES__BASE_URL=https://openrouter.ai/api/v1
# DIALECTIC_LEVELS__medium__MODEL_CONFIG__MODEL=your-model-here
# DIALECTIC_LEVELS__medium__MODEL_CONFIG__OVERRIDES__BASE_URL=https://openrouter.ai/api/v1
# DIALECTIC_LEVELS__high__MODEL_CONFIG__MODEL=your-model-here
# DIALECTIC_LEVELS__high__MODEL_CONFIG__OVERRIDES__BASE_URL=https://openrouter.ai/api/v1
# DIALECTIC_LEVELS__max__MODEL_CONFIG__MODEL=your-model-here
# DIALECTIC_LEVELS__max__MODEL_CONFIG__OVERRIDES__BASE_URL=https://openrouter.ai/api/v1
# DIALECTIC_LEVELS__max__MODEL_CONFIG__THINKING_EFFORT=medium
# DIALECTIC_LEVELS__max__MODEL_CONFIG__THINKING_BUDGET_TOKENS=1024
# Optional backup per level (must set both or neither):
# DIALECTIC_LEVELS__max__MODEL_CONFIG__FALLBACK__MODEL=gemini-2.5-pro
# DIALECTIC_LEVELS__max__MODEL_CONFIG__FALLBACK__TRANSPORT=gemini

# =============================================================================
# Summary
# =============================================================================
# SUMMARY_ENABLED=true
# Defaults:
# SUMMARY_MODEL_CONFIG__TRANSPORT=openai
# SUMMARY_MODEL_CONFIG__MODEL=gpt-5.4-mini
# Optional overrides:
# SUMMARY_MODEL_CONFIG__MODEL=your-model-here
# SUMMARY_MODEL_CONFIG__OVERRIDES__BASE_URL=https://openrouter.ai/api/v1
# SUMMARY_MODEL_CONFIG__THINKING_EFFORT=minimal
# SUMMARY_MODEL_CONFIG__THINKING_BUDGET_TOKENS=1024  # Gemini/Anthropic only
# SUMMARY_MESSAGES_PER_SHORT_SUMMARY=20
# SUMMARY_MESSAGES_PER_LONG_SUMMARY=60
# SUMMARY_MAX_TOKENS_SHORT=1000
# SUMMARY_MAX_TOKENS_LONG=4000
# SUMMARY_MODEL_CONFIG__FALLBACK__MODEL=

# =============================================================================
# Dream
# =============================================================================
# DREAM_ENABLED=true
# Defaults:
# DREAM_DEDUCTION_MODEL_CONFIG__TRANSPORT=openai
# DREAM_DEDUCTION_MODEL_CONFIG__MODEL=gpt-5.4-mini
# DREAM_INDUCTION_MODEL_CONFIG__TRANSPORT=openai
# DREAM_INDUCTION_MODEL_CONFIG__MODEL=gpt-5.4-mini
# Optional overrides:
# DREAM_DEDUCTION_MODEL_CONFIG__MODEL=your-model-here
# DREAM_DEDUCTION_MODEL_CONFIG__OVERRIDES__BASE_URL=https://openrouter.ai/api/v1
# DREAM_INDUCTION_MODEL_CONFIG__MODEL=your-model-here
# DREAM_INDUCTION_MODEL_CONFIG__OVERRIDES__BASE_URL=https://openrouter.ai/api/v1
# DREAM_DOCUMENT_THRESHOLD=50
# DREAM_IDLE_TIMEOUT_MINUTES=60
# DREAM_MIN_HOURS_BETWEEN_DREAMS=8
# DREAM_ENABLED_TYPES=["omni"]
# DREAM_MAX_TOOL_ITERATIONS=20
# DREAM_HISTORY_TOKEN_LIMIT=16384

# Surprisal sampling (advanced):
# DREAM_SURPRISAL__ENABLED=false
# DREAM_SURPRISAL__TREE_TYPE=kdtree
# DREAM_SURPRISAL__TREE_K=5
# DREAM_SURPRISAL__SAMPLING_STRATEGY=recent
# DREAM_SURPRISAL__SAMPLE_SIZE=200
# DREAM_SURPRISAL__TOP_PERCENT_SURPRISAL=0.10
# DREAM_SURPRISAL__MIN_HIGH_SURPRISAL_FOR_REPLACE=10
# DREAM_SURPRISAL__INCLUDE_LEVELS=["explicit","deductive"]

# =============================================================================
# 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

# Full-fidelity payload tracing (llm.call.traced / trace.content). Default-off
# TELEMETRY_TRACE_PAYLOADS_ENABLED=false  # Trace events ship to TELEMETRY_ENDPOINT
# TELEMETRY_TRACE_MAX_BYTES=262144  # Per-message cap; oversized content is clipped
# TELEMETRY_TRACE_PURPOSES=[]  # JSON list of CallPurpose values to capture; empty = all

# =============================================================================
# Cache
# =============================================================================
# CACHE_ENABLED=false
# CACHE_URL="redis://localhost:6379/0?suppress=true"
# CACHE_CLUSTER=false  # true when CACHE_URL is a Redis Cluster (e.g. Memorystore for Redis Cluster)
# CACHE_NAMESPACE="honcho"  # Inherits from NAMESPACE if not set
# CACHE_DEFAULT_TTL_SECONDS=300
# CACHE_DEFAULT_LOCK_TTL_SECONDS=5
# CACHE_LOCK_WAIT_CHECK_INTERVAL_SECONDS=0.1

# =============================================================================
# CORS Settings
# =============================================================================
# JSON array of origins allowed by the FastAPI CORSMiddleware. Defaults match
# the previously hardcoded list: localhost, 127.0.0.1:8000 and api.honcho.dev.
# CORS_ORIGINS=["http://localhost","http://127.0.0.1:8000","https://api.honcho.dev"]

# =============================================================================
# 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 are configured via EMBEDDING_VECTOR_DIMENSIONS (see top
# of this file). VECTOR_STORE_DIMENSIONS is deprecated and ignored.

# 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