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5.7 KiB
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1 line
5.7 KiB
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{"repo": "1692775560/paperclaw", "files": {"config.paperclaw.yaml": {"fb0ff81587c97c8b3366dde9f0a6f94218aa3207": {"t": 1785745201.2840576, "n": 4678, "h": "83f563e85b64d05b", "c": "# ============================================================================\n# PaperClaw 配置文件\n# 面向学术科研工作者的高能动性AI自动化辅助系统\n# 三层协同架构: 大脑(LLM决策引擎) + 手脚(Skill插件执行层) + 记忆(Memory知识管理)\n# ============================================================================\n\nproject:\n name: \"my-research\"\n mode: \"full-auto\" # docs-first | semi-auto | full-auto\n\nresearch:\n topic: \"你的研究主题\"\n domains:\n - \"machine-learning\"\n - \"nlp\"\n daily_paper_count: 10\n quality_threshold: 4.0\n\nruntime:\n timezone: \"Asia/Shanghai\"\n max_parallel_tasks: 3\n approval_timeout_hours: 12\n retry_limit: 2\n\nnotifications:\n channel: \"console\"\n target: \"\"\n on_stage_start: true\n on_stage_fail: true\n on_gate_required: true\n\nknowledge_base:\n backend: \"markdown\" # markdown | obsidian\n root: \"docs/kb\"\n\n# ============================================================================\n# 大脑层配置 — LLM决策引擎\n# ============================================================================\n\nllm:\n provider: \"openai-compatible\"\n base_url: \"https://api.deepseek.com/v1\"\n api_key_env: \"DEEPSEEK_API_KEY\"\n api_key: \"sk-f31e2e0f6c064c4f86a08b0a4df5cf6a\"\n primary_model: \"deepseek-chat\"\n fallback_models:\n - \"deepseek-chat\"\n s2_api_key: \"\" # Semantic Scholar API key (可选，提高文献检索速率限制)\n\nsecurity:\n hitl_required_stages: [5, 9, 20] # 需要人工审批的门控阶段\n allow_publish_without_approval: false\n redact_sensitive_logs: true\n\n# ============================================================================\n# 手脚层配置 — Skill插件执行层\n# ============================================================================\n\nexperiment:\n # 实验执行模式\n # \"sandbox\" — 本地沙盒执行，产出真实实验数据\n # \"docker\" — Docker容器执行，支持GPU、依赖自动安装、内存隔离\n # \"ssh_remote\"— SSH远程服务器执行（适合GPU集群）\n # \"simulated\" — 模拟模式（仅用于开发调试）\n mode: \"simulated\"\n time_budget_sec: 300\n max_iterations: 10\n metric_key: \"primary_metric\"\n metric_direction: \"minimize\"\n \n # Sandbox配置\n sandbox:\n python_path: \".venv/bin/python3\"\n gpu_required: false\n max_memory_mb: 4096\n \n # Docker配置（需先构建镜像: docker build -t paperclaw/experiment:latest）\n docker:\n image: \"paperclaw/experiment:latest\"\n gpu_enabled: true\n memory_limit_mb: 8192\n network_policy: \"setup_only\" # none | setup_only | pip_only | full\n auto_install_deps: true\n shm_size_mb: 2048\n keep_containers: false\n \n # SSH远程执行配置\n ssh_remote:\n host: \"\"\n user: \"\"\n port: 22\n key_path: \"\"\n gpu_ids: []\n remote_workdir: \"/tmp/paperclaw_experiments\"\n remote_python: \"python3\"\n setup_commands: []\n use_docker: false\n docker_image: \"paperclaw/experiment:latest\"\n docker_network_policy: \"none\"\n docker_memory_limit_mb: 8192\n docker_shm_size_mb: 2048\n \n # OpenCode Beast Mode — 复杂实验自动路由到外部AI编码Agent\n opencode:\n enabled: true\n auto: true\n complexity_threshold: 0.2 # 0.0-1.0，越高越只在复杂实验时触发\n model: \"\" # 留空则使用 llm.primary_model\n timeout_sec: 600\n max_retries: 1\n workspace_cleanup: true\n \n # Colab Drive模式（无需SSH，通过Google Drive同步）\n colab_drive:\n drive_root: \"\"\n poll_interval_sec: 30\n timeout_sec: 3600\n setup_script: \"\"\n \n # 科学可视化Agent（代码生成图表 + Nano Banana图像生成）\n figure_agent:\n enabled: true\n min_figures: 3\n max_figures: 10\n max_iterations: 3\n render_timeout_sec: 30\n docker_image: \"paperclaw/experiment:latest\"\n output_format: \"python\" # python | latex\n nano_banana_enabled: true\n gemini_model: \"gemini-2.5-flash-image\"\n strict_mode: false\n dpi: 300\n\n# ============================================================================\n# 记忆层配置 — Memory知识管理\n# ============================================================================\n\n# MetaClaw集成 — 跨运行学习与自我进化\nmetaclaw_bridge:\n enabled: false\n proxy_url: \"http://localhost:30000\"\n skills_dir: \"~/.metaclaw/skills\"\n fallback_url: \"\"\n fallback_api_key: \"\"\n \n # PRM质量门控（LLM-as-judge评分）\n prm:\n enabled: false\n api_base: \"\"\n api_key_env: \"PRM_API_KEY\"\n api_key: \"\"\n model: \"gpt-4o\"\n votes: 3\n gate_stages: [5, 9, 15, 20]\n \n # Lesson转Skill（从失败中自动学习）\n lesson_to_skill:\n enabled: true\n min_severity: \"warning\" # info | warning | error\n max_skills_per_run: 3\n\n# OpenClaw桥接（可选 — 与OpenClaw生态集成）\nopenclaw_bridge:\n use_cron: false\n use_message: false\n use_memory: false\n use_sessions_spawn: false\n use_web_fetch: false\n use_browser: false\n\n# ============================================================================\n# 输出配置\n# ============================================================================\n\nexport:\n target_conference: \"neurips_2025\" # neurips_2025 | iclr_2026 | icml_2026\n authors: \"Anonymous\"\n bib_file: \"references\"\n\n# 自定义提示词（可选）\nprompts:\n custom_file: \"\" # 留空则使用内置默认提示词\n"}}}} |