feat(llm): add multi-LLM provider support with API key validation#4
Merged
Alenryuichi merged 4 commits intomainfrom Feb 3, 2026
Merged
feat(llm): add multi-LLM provider support with API key validation#4Alenryuichi merged 4 commits intomainfrom
Alenryuichi merged 4 commits intomainfrom
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## Features - Add 6 LLM providers: DeepSeek, MiniMax, ZhiPu, Qwen, OpenAI, Ollama - Add --llm CLI option for non-interactive provider selection - Add Docker Volume mounting strategy for categorization.py patch - Add optional API key validation before saving ## Code Review Fixes - H1: Add providers.test.ts with 22 test cases - H2: Add --llm option tests in install.test.ts - H3: Auto-update .gitignore and show security warning for .env - H4: Fix Ollama envKey empty string bug in generateProviderEnv - M1: Handle invalid provider in non-interactive mode - M2: Add Ollama support in categorization.py - M3: Use getMcpEnvForProvider in showMcpConfig - L1: Auto-generate PROVIDER_CHOICES from LLM_PROVIDERS - L2: Add validateApiKey function with tests ## Files - cli/src/lib/providers.ts (new) - cli/templates/patches/categorization.py (new) - cli/templates/docker-compose.full.yml (new) - cli/tests/providers.test.ts (new) - cli/src/commands/install.ts (modified) - cli/src/index.ts (modified) - cli/tests/install.test.ts (modified) - .env.example (modified) Tests: 119 passed
Add generated templates for self-hosting openmemory-plus: - .augment/commands/memory.md - Augment IDE memory command - .augment/skills/memory-extraction/ - Memory extraction skill - _omp/commands/ - Shared memory command - _omp/skills/ - Shared skills - _omp/workflows/memory/ - Memory workflow (9 steps)
- Merge main branch MCP auto-config features - Re-add multi-LLM provider selection (DeepSeek, MiniMax, ZhiPu, Qwen, OpenAI, Ollama) - Add patches directory copy for categorization.py - Add API key validation and .env generation - All 128 tests passing
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Summary
Add multi-LLM provider support to openmemory-plus, allowing users to choose from 6 different LLM providers for the memory categorization feature.
Features
🚀 LLM Provider Support
💻 CLI Usage
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║ ║
║ 🧠 OpenMemory Plus - Agent Memory Management ║
║ ║
║ 让任何 AI Agent 在 5 分钟内获得持久记忆能力 ║
║ ║
╚═══════════════════════════════════════════════════════════════╝
━━━ 第 1 步: 检测系统依赖 ━━━
当前状态:
🐳 Docker: ✓ 运行中
🐳 Compose: ✓ 可用
🦙 Ollama: ✓ 运行中
📦 Qdrant: ✓ 运行中
🔤 BGE-M3: ✓ 已安装
✅ 所有依赖已就绪!
━━━ 第 2 步: 配置项目 ━━━
使用默认 IDE: augment
📁 创建配置文件...
✓ 创建 _omp/ (核心目录)
✓ 创建 _omp/memory/project.yaml
✓ 创建 _omp/commands/ (1 命令)
✓ 创建 _omp/workflows/ (9 步骤)
✓ 创建 _omp/skills/ (memory-extraction)
✓ 配置 augment (.augment/commands/)
━━━ Phase 3: MCP 配置与验证 ━━━
━━━ 安装完成 ━━━
🎉 OpenMemory Plus 已成功安装!
✓ MCP 已自动配置到 Augment
💡 下一步:
🔐 Security
Code Review Fixes
Testing
✅ 119 tests passed