feat: LLM Provider 管理、Token 用量追踪与 Python 代码执行工具#8
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## 核心变更
### LLM Provider 管理系统
- 新增 `agentpal/providers/` 模块：ProviderConfig、ProviderManager、OpenAIProvider、RetryModel
- 新增 `/api/v1/providers` REST API（CRUD + 连通性测试 + 模型发现）
- 支持多 Provider 配置、api_key 打码展示、自定义 Provider 管理
### Token 用量追踪
- 新增 `LLMCallLog` ORM 模型（`llm_call_logs` 表），按 session + call_round 记录用量
- `PersonalAssistant` 流式/非流式对话均自动写 token 日志
- 新增 `GET /api/v1/sessions/{id}/usage` 用量明细 API
- Dashboard 新增 `input_tokens` / `output_tokens` / `llm_calls` 精确统计
### execute_python_code 工具（#10）
- 在隔离子进程中执行 Python 代码，支持动态 `pip install` 依赖
- stdout / stderr 完整捕获，输出超 8000 字自动截断
- ChatPage 新增 Python 代码输出渲染组件（行号 + 退出码 + 输出块）
### 其他
- 内置 skills_data（find-skills / frontend-design / notion-api）开箱即用
- 新增 `init.sh` 开发环境一键初始化脚本
- 新增 Provider 单元测试 & cron_cli 工具测试
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Summary
providers/模块（ProviderManager、OpenAIProvider、RetryModel）及/api/v1/providersREST API，支持多 Provider 配置、api_key 打码、连通性测试、动态模型发现LLMCallLog模型逐轮记录 token 消耗，PersonalAssistant 自动写日志；新增GET /sessions/{id}/usage用量明细 API；Dashboard 统计升级（input_tokens / output_tokens / llm_calls）变更文件
agentpal/providers/(5 files)api/v1/endpoints/providers.pymodels/llm_usage.pyLLMCallLogORM 模型agents/personal_assistant.pyapi/v1/endpoints/session.py/usage用量明细api/v1/endpoints/dashboard.pytools/builtin.pyexecute_python_code工具frontend/src/pages/ChatPage.tsxtests/unit/test_providers/tests/unit/test_cron/test_cron_cli.pyskills_data/init.shTest plan
cd backend && .venv/bin/pytest tests/unit/ tests/integration/ -v --tb=short全部通过llm_call_logs表有数据写入GET /api/v1/sessions/{id}/usage返回正确 token 数input_tokens/output_tokens/llm_calls有统计值GET /api/v1/providers返回 Provider 列表（api_key 打码）POST /api/v1/providers/{id}/test测试 Provider 连通性execute_python_code工具，让 Agent 执行简单 Python 脚本，ChatPage 正确渲染输出🤖 Generated with Claude Code