Robert Helewka
b4d60f2f38
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.
80 lines
2.9 KiB
Django/Jinja
80 lines
2.9 KiB
Django/Jinja
# AnythingLLM Server Environment Configuration
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# Managed by Ansible - Red Panda Approved
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# Generated for {{ inventory_hostname }}
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# ============================================
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# Server Configuration
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# ============================================
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SERVER_PORT={{ anythingllm_port }}
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STORAGE_DIR={{ anythingllm_directory }}/storage
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# ============================================
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# Security
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# ============================================
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JWT_SECRET={{ anythingllm_jwt_secret }}
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SIG_KEY={{ anythingllm_sig_key }}
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SIG_SALT={{ anythingllm_sig_salt }}
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# ============================================
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# PostgreSQL + pgvector (Portia)
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# ============================================
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VECTOR_DB=pgvector
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PGVECTOR_CONNECTION_STRING=postgresql://{{ anythingllm_db_user }}:{{ anythingllm_db_password }}@{{ anythingllm_db_host }}:{{ anythingllm_db_port }}/{{ anythingllm_db_name }}
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# ============================================
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# LLM Provider - AWS Bedrock
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# ============================================
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# LLM_PROVIDER='bedrock'
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# AWS_BEDROCK_LLM_ACCESS_KEY_ID=
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# AWS_BEDROCK_LLM_ACCESS_KEY=
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# AWS_BEDROCK_LLM_REGION=us-west-2
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# AWS_BEDROCK_LLM_MODEL_PREFERENCE=meta.llama3-1-8b-instruct-v1:0
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# AWS_BEDROCK_LLM_MODEL_TOKEN_LIMIT=8191
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# AWS_BEDROCK_LLM_CONNECTION_METHOD=iam
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# AWS_BEDROCK_LLM_MAX_OUTPUT_TOKENS=4096
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# AWS_BEDROCK_LLM_SESSION_TOKEN= # Only required if CONNECTION_METHOD is 'sessionToken'
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# or even use Short and Long Term API keys
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# AWS_BEDROCK_LLM_CONNECTION_METHOD="apiKey"
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# AWS_BEDROCK_LLM_API_KEY=
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# ============================================
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# LLM Provider - Generic OpenAI (llama-cpp)
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# ============================================
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LLM_PROVIDER=generic-openai
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GENERIC_OPEN_AI_BASE_PATH={{ anythingllm_llm_base_url }}
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GENERIC_OPEN_AI_MODEL_PREF={{ anythingllm_llm_model }}
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GENERIC_OPEN_AI_MODEL_TOKEN_LIMIT={{ anythingllm_llm_token_limit }}
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GENERIC_OPEN_AI_API_KEY={{ anythingllm_llm_api_key }}
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# ============================================
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# Embedding Configuration
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# ============================================
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EMBEDDING_ENGINE={{ anythingllm_embedding_engine }}
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EMBEDDING_MODEL_PREF={{ anythingllm_embedding_model }}
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# ============================================
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# TTS Configuration (FastKokoro)
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# ============================================
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TTS_PROVIDER={{ anythingllm_tts_provider }}
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{% if anythingllm_tts_provider == 'openai' %}
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TTS_OPEN_AI_KEY={{ anythingllm_tts_api_key }}
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TTS_OPEN_AI_ENDPOINT={{ anythingllm_tts_endpoint }}
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TTS_OPEN_AI_MODEL={{ anythingllm_tts_model }}
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TTS_OPEN_AI_VOICE={{ anythingllm_tts_voice }}
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{% endif %}
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# ============================================
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# Whisper Configuration
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# ============================================
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WHISPER_PROVIDER=local
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# use openai hosted whisper model.
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# WHISPER_PROVIDER="openai"
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# OPEN_AI_KEY=sk-xxxxxxxx
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# ============================================
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# Telemetry & Environment
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# ============================================
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DISABLE_TELEMETRY=true
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NODE_ENV=production
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