docs: rewrite README with structured overview and quick start guide

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.

ansible/anythingllm/env.j2

@@ -0,0 +1,79 @@
+# 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