nanoAndroid/local.properties.example at main · YueLich/nanoAndroid · GitHub

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## This file is a template for local.properties
# Copy this file to local.properties and fill in your configuration
#
# Location of the SDK. This is only used by Gradle.
sdk.dir=/path/to/android/sdk

# ============================================
# LLM Configuration (NanoAndroid 大模型配置)
# ============================================
#
# 配置说明：https://github.com/yourusername/nanoAndroid/blob/main/docs/LLM_CONFIG.md
#
# 快速开始：
# 1. 复制此文件为 local.properties
# 2. 设置 sdk.dir 为你的 Android SDK 路径
# 3. 选择一个 provider (推荐 openrouter，有免费模型)
# 4. 填写对应的 API Key
# 5. 重新构建项目: ./gradlew :app:installDebug

# Provider 选择 (可选值: openai, claude, groq, openrouter, together, local, mock)
# - openrouter: 推荐！支持多种模型，有免费选项
# - groq: 推理速度快，免费额度大
# - openai: 官方 GPT 模型
# - claude: Anthropic Claude 模型
# - together: Together AI 平台
# - mock: 模拟模式，无需 API Key，用于测试
# - local: 本地模型 (需自建服务)
llm.provider=openrouter

# API Key (必须填写，否则无法调用真实大模型)
# 如何获取 API Key：
# - OpenRouter: https://openrouter.ai/keys
# - OpenAI: https://platform.openai.com/api-keys
# - Claude: https://console.anthropic.com/settings/keys
# - Groq: https://console.groq.com/keys
llm.apiKey=YOUR_API_KEY_HERE

# Model (可选，不填则使用默认模型)
# OpenRouter 免费模型推荐:
#   - google/gemini-2.0-flash-exp:free (免费，速度快)
#   - meta-llama/llama-3.1-8b-instruct:free (免费)
#   - microsoft/phi-3-mini-128k-instruct:free (免费)
#
# OpenAI 模型:
#   - gpt-4o-mini (便宜)
#   - gpt-4o (强大)
#
# Claude 模型:
#   - claude-3-5-sonnet-20241022 (推荐)
#   - claude-3-haiku-20240307 (便宜)
#
# Groq 模型:
#   - mixtral-8x7b-32768 (免费，速度极快)
#   - llama-3.1-70b-versatile (免费)
llm.model=google/gemini-2.0-flash-exp:free

# Base URL (可选，不填则使用默认地址)
# 通常不需要修改，除非使用代理或自建服务
#
# 默认值：
# - OpenRouter: https://openrouter.ai/api/v1
# - OpenAI: https://api.openai.com/v1
# - Claude: https://api.anthropic.com/v1
# - Groq: https://api.groq.com/openai/v1
# - Together: https://api.together.xyz/v1
llm.baseUrl=

# ============================================
# 常见配置示例
# ============================================

# 示例 1: OpenRouter + Gemini 2.0 Flash (免费，推荐新手)
# llm.provider=openrouter
# llm.apiKey=sk-or-v1-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# llm.model=google/gemini-2.0-flash-exp:free
# llm.baseUrl=https://openrouter.ai/api/v1

# 示例 2: Groq + Mixtral (免费，速度快)
# llm.provider=groq
# llm.apiKey=gsk_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# llm.model=mixtral-8x7b-32768
# llm.baseUrl=

# 示例 3: OpenAI GPT-4o-mini
# llm.provider=openai
# llm.apiKey=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# llm.model=gpt-4o-mini
# llm.baseUrl=

# 示例 4: Claude Sonnet
# llm.provider=claude
# llm.apiKey=sk-ant-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# llm.model=claude-3-5-sonnet-20241022
# llm.baseUrl=

# 示例 5: 本地模型 (需要自建 OpenAI 兼容服务)
# llm.provider=local
# llm.apiKey=not-needed
# llm.model=your-model-name
# llm.baseUrl=http://localhost:11434/v1

# 示例 6: 测试模式 (无需 API Key，返回模拟响应)
# llm.provider=mock
# llm.apiKey=
# llm.model=
# llm.baseUrl=