feat: Add Chinese documentation and Docker Compose configurations for DeepTutor and llama.cpp

- Created README.zh.md for DeepTutor with comprehensive features, installation steps, and usage instructions in Chinese.
- Added docker-compose.yaml for DeepTutor to define services, environment variables, and resource limits.
- Introduced .env.example for llama.cpp with configuration options for server settings and resource management.
- Added README.md and README.zh.md for llama.cpp detailing features, prerequisites, quick start guides, and API documentation.
- Implemented docker-compose.yaml for llama.cpp to support various server configurations (CPU, CUDA, ROCm) and CLI usage.

apps/deeptutor/.env.example

@@ -0,0 +1,97 @@
+# DeepTutor Configuration
+# Copy this file to .env and fill in your API keys
+
+#! ==================================================
+#! General Settings
+#! ==================================================
+
+# Timezone (default: UTC)
+TZ=UTC
+
+# User and Group ID for file permissions (default: 1000)
+# Adjust if your host user has a different UID/GID
+PUID=1000
+PGID=1000
+
+# Global registry prefix (optional)
+# Example: registry.example.com/ or leave empty for Docker Hub/GHCR
+GLOBAL_REGISTRY=
+
+#! ==================================================
+#! DeepTutor Version
+#! ==================================================
+
+# Image version (default: latest)
+# Available tags: latest, v0.5.x
+# See: https://github.com/HKUDS/DeepTutor/pkgs/container/deeptutor
+DEEPTUTOR_VERSION=latest
+
+#! ==================================================
+#! Port Configuration
+#! ==================================================
+
+# Backend port (internal: 8001)
+BACKEND_PORT=8001
+# Host port override for backend
+DEEPTUTOR_BACKEND_PORT_OVERRIDE=8001
+
+# Frontend port (internal: 3782)
+FRONTEND_PORT=3782
+# Host port override for frontend
+DEEPTUTOR_FRONTEND_PORT_OVERRIDE=3782
+
+#! ==================================================
+#! API Base URLs
+#! ==================================================
+
+# Internal API base URL (used by frontend to communicate with backend)
+NEXT_PUBLIC_API_BASE=http://localhost:8001
+
+# External API base URL (for cloud deployment, set to your public URL)
+# Example: https://your-server.com:8001
+# For local deployment, use the same as NEXT_PUBLIC_API_BASE
+NEXT_PUBLIC_API_BASE_EXTERNAL=http://localhost:8001
+
+#! ==================================================
+#! LLM API Keys (Required)
+#! ==================================================
+
+# OpenAI API Key (Required)
+# Get from: https://platform.openai.com/api-keys
+OPENAI_API_KEY=sk-your-openai-api-key-here
+
+# OpenAI Base URL (default: https://api.openai.com/v1)
+# For OpenAI-compatible APIs (e.g., Azure OpenAI, custom endpoints)
+OPENAI_BASE_URL=https://api.openai.com/v1
+
+# Default LLM Model (default: gpt-4o)
+# Options: gpt-4o, gpt-4-turbo, gpt-4, gpt-3.5-turbo, etc.
+DEFAULT_MODEL=gpt-4o
+
+#! ==================================================
+#! Additional LLM API Keys (Optional)
+#! ==================================================
+
+# Anthropic API Key (Optional, for Claude models)
+# Get from: https://console.anthropic.com/
+ANTHROPIC_API_KEY=
+
+# Perplexity API Key (Optional, for web search)
+# Get from: https://www.perplexity.ai/settings/api
+PERPLEXITY_API_KEY=
+
+# DashScope API Key (Optional, for Alibaba Cloud models)
+# Get from: https://dashscope.console.aliyun.com/
+DASHSCOPE_API_KEY=
+
+#! ==================================================
+#! Resource Limits
+#! ==================================================
+
+# CPU limits (default: 4.00 cores limit, 1.00 cores reservation)
+DEEPTUTOR_CPU_LIMIT=4.00
+DEEPTUTOR_CPU_RESERVATION=1.00
+
+# Memory limits (default: 8G limit, 2G reservation)
+DEEPTUTOR_MEMORY_LIMIT=8G
+DEEPTUTOR_MEMORY_RESERVATION=2G