# AnythingLLM Server Environment Configuration
# Managed by Ansible - Red Panda Approved
# Generated for {{ inventory_hostname }}

# ============================================
# Server Configuration
# ============================================
SERVER_PORT={{ anythingllm_port }}
STORAGE_DIR={{ anythingllm_directory }}/storage

# ============================================
# Security
# ============================================
JWT_SECRET={{ anythingllm_jwt_secret }}
SIG_KEY={{ anythingllm_sig_key }}
SIG_SALT={{ anythingllm_sig_salt }}

# ============================================
# PostgreSQL + pgvector (Portia)
# ============================================
VECTOR_DB=pgvector
PGVECTOR_CONNECTION_STRING=postgresql://{{ anythingllm_db_user }}:{{ anythingllm_db_password }}@{{ anythingllm_db_host }}:{{ anythingllm_db_port }}/{{ anythingllm_db_name }}

# ============================================
# LLM Provider - AWS Bedrock
# ============================================
# LLM_PROVIDER='bedrock'
# AWS_BEDROCK_LLM_ACCESS_KEY_ID=
# AWS_BEDROCK_LLM_ACCESS_KEY=
# AWS_BEDROCK_LLM_REGION=us-west-2
# AWS_BEDROCK_LLM_MODEL_PREFERENCE=meta.llama3-1-8b-instruct-v1:0
# AWS_BEDROCK_LLM_MODEL_TOKEN_LIMIT=8191
# AWS_BEDROCK_LLM_CONNECTION_METHOD=iam
# AWS_BEDROCK_LLM_MAX_OUTPUT_TOKENS=4096
# AWS_BEDROCK_LLM_SESSION_TOKEN= # Only required if CONNECTION_METHOD is 'sessionToken'
# or even use Short and Long Term API keys
# AWS_BEDROCK_LLM_CONNECTION_METHOD="apiKey"
# AWS_BEDROCK_LLM_API_KEY=

# ============================================
# LLM Provider - Generic OpenAI (llama-cpp)
# ============================================
LLM_PROVIDER=generic-openai
GENERIC_OPEN_AI_BASE_PATH={{ anythingllm_llm_base_url }}
GENERIC_OPEN_AI_MODEL_PREF={{ anythingllm_llm_model }}
GENERIC_OPEN_AI_MODEL_TOKEN_LIMIT={{ anythingllm_llm_token_limit }}
GENERIC_OPEN_AI_API_KEY={{ anythingllm_llm_api_key }}

# ============================================
# Embedding Configuration
# ============================================
EMBEDDING_ENGINE={{ anythingllm_embedding_engine }}
EMBEDDING_MODEL_PREF={{ anythingllm_embedding_model }}

# ============================================
# TTS Configuration (FastKokoro)
# ============================================
TTS_PROVIDER={{ anythingllm_tts_provider }}
{% if anythingllm_tts_provider == 'openai' %}
TTS_OPEN_AI_KEY={{ anythingllm_tts_api_key }}
TTS_OPEN_AI_ENDPOINT={{ anythingllm_tts_endpoint }}
TTS_OPEN_AI_MODEL={{ anythingllm_tts_model }}
TTS_OPEN_AI_VOICE={{ anythingllm_tts_voice }}
{% endif %}

# ============================================
# Whisper Configuration
# ============================================
WHISPER_PROVIDER=local

# use openai hosted whisper model.
# WHISPER_PROVIDER="openai"
# OPEN_AI_KEY=sk-xxxxxxxx

# ============================================
# Telemetry & Environment
# ============================================
DISABLE_TELEMETRY=true
NODE_ENV=production