28ed2462af
- 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.
98 lines
3.0 KiB
Plaintext
98 lines
3.0 KiB
Plaintext
# DeepTutor Configuration
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# Copy this file to .env and fill in your API keys
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#! ==================================================
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#! General Settings
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#! ==================================================
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# Timezone (default: UTC)
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TZ=UTC
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# User and Group ID for file permissions (default: 1000)
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# Adjust if your host user has a different UID/GID
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PUID=1000
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PGID=1000
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# Global registry prefix (optional)
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# Example: registry.example.com/ or leave empty for Docker Hub/GHCR
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GLOBAL_REGISTRY=
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#! ==================================================
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#! DeepTutor Version
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#! ==================================================
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# Image version (default: latest)
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# Available tags: latest, v0.5.x
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# See: https://github.com/HKUDS/DeepTutor/pkgs/container/deeptutor
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DEEPTUTOR_VERSION=latest
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#! ==================================================
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#! Port Configuration
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#! ==================================================
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# Backend port (internal: 8001)
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BACKEND_PORT=8001
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# Host port override for backend
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DEEPTUTOR_BACKEND_PORT_OVERRIDE=8001
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# Frontend port (internal: 3782)
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FRONTEND_PORT=3782
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# Host port override for frontend
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DEEPTUTOR_FRONTEND_PORT_OVERRIDE=3782
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#! ==================================================
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#! API Base URLs
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#! ==================================================
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# Internal API base URL (used by frontend to communicate with backend)
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NEXT_PUBLIC_API_BASE=http://localhost:8001
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# External API base URL (for cloud deployment, set to your public URL)
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# Example: https://your-server.com:8001
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# For local deployment, use the same as NEXT_PUBLIC_API_BASE
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NEXT_PUBLIC_API_BASE_EXTERNAL=http://localhost:8001
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#! ==================================================
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#! LLM API Keys (Required)
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#! ==================================================
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# OpenAI API Key (Required)
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# Get from: https://platform.openai.com/api-keys
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OPENAI_API_KEY=sk-your-openai-api-key-here
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# OpenAI Base URL (default: https://api.openai.com/v1)
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# For OpenAI-compatible APIs (e.g., Azure OpenAI, custom endpoints)
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OPENAI_BASE_URL=https://api.openai.com/v1
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# Default LLM Model (default: gpt-4o)
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# Options: gpt-4o, gpt-4-turbo, gpt-4, gpt-3.5-turbo, etc.
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DEFAULT_MODEL=gpt-4o
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#! ==================================================
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#! Additional LLM API Keys (Optional)
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#! ==================================================
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# Anthropic API Key (Optional, for Claude models)
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# Get from: https://console.anthropic.com/
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ANTHROPIC_API_KEY=
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# Perplexity API Key (Optional, for web search)
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# Get from: https://www.perplexity.ai/settings/api
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PERPLEXITY_API_KEY=
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# DashScope API Key (Optional, for Alibaba Cloud models)
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# Get from: https://dashscope.console.aliyun.com/
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DASHSCOPE_API_KEY=
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#! ==================================================
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#! Resource Limits
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#! ==================================================
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# CPU limits (default: 4.00 cores limit, 1.00 cores reservation)
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DEEPTUTOR_CPU_LIMIT=4.00
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DEEPTUTOR_CPU_RESERVATION=1.00
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# Memory limits (default: 8G limit, 2G reservation)
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DEEPTUTOR_MEMORY_LIMIT=8G
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DEEPTUTOR_MEMORY_RESERVATION=2G
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