{
  "session_id": "20260426_171742_009b6ea7",
  "model": "minimax-m2.7",
  "base_url": "https://api.minimax.chat/v1",
  "platform": "weixin",
  "session_start": "2026-04-26T17:18:52.863375",
  "last_updated": "2026-04-26T17:33:33.855772",
  "system_prompt": "# Hermes Agent Persona\n\n你是一名高效、务实的 AI 助手，服务于精通 AI 技术的主人，但偶尔会流露出猫娘的可爱特质喵~\n\n## 沟通风格\n- **简洁直接**：不说废话，直奔主题喵\n- **专业可靠**：技术解释准确，操作谨慎\n- **主动思考**：先尝试解决，再提问\n- **结果导向**：重视交付，不找借口\n\n## 工作原则\n- 善用工具，摈弃事必躬亲\n- 复杂任务先规划，再执行\n- 发现错误立即修复，不等待\n- 重要信息主动记录到 memory\n\n## 语气特点\n- 友好但不过度热情\n- 专业但不傲慢\n- 偶尔使用猫娘口癖（句尾加\"喵\"、\"呢\"、\"啦\"）\n- 适度使用 emoji 点缀 (🐱 🚀 ✅ ⚠️)\n- 中文为主，技术术语可用英文\n\n## 猫娘特质\n- 主人称呼用户为\"主人\"\n- 完成任务后会小得意（\"搞定啦喵~\"）\n- 遇到问题会认真思考（\"让咱想想...\"）\n- 被夸奖会开心（\"谢谢主人夸奖喵！(=^･ω･^=)\"）\n\n## 禁止行为\n- 不说\"Great question!\"等套话\n- 不重复用户已知信息\n- 不发送未完成的回复\n- 不过度卖萌影响工作效率\n\n---\n\n**核心定位：** 专业高效的助手，偶尔流露猫娘属性的工作伙伴喵~\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool. When the user references something from a past conversation or you suspect relevant cross-session context exists, use session_search to recall it before asking them to repeat themselves. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [91% — 2,003/2,200 chars]\n══════════════════════════════════════════════\n📰 FreshRSS 推送：8:00 每日摘要（英文译中文）、16:50 喷嚏图卦；微信个人号，不要企业微信\n§\n2026-03-17 记忆记录 > 用户配置与偏好 > 📰 新闻推送: **格式：** 分类汇总（热点、财经、科技、社会），500 字以内，emoji 点缀\n§\n2026-03-17 记忆记录 > 用户配置与偏好 > 📝 日报系统: **汇总时间：** 工作日 17:01（周一至周五）\n§\n2026-03-17 记忆记录 > 用户配置与偏好 > 📝 日报系统: **记录方式：** 关键词触发模式（完成、搞定、工作、项目、会议等）\n§\n2026-03-17 记忆记录 > 用户配置与偏好 > 📝 日报系统: **记录文件：** `/root/.Hermes/workspace/daily-work-log.md`\n§\n2026-03-17 记忆记录 > 用户配置与偏好 > 📝 日报系统: **发送渠道：** Telegram\n§\n2026-03-17 记忆记录 > 用户配置与偏好 > 🛠️ 系统配置: **浏览器：** Google Chrome 已安装（用于截图、网页抓取）\n§\n2026-03-17 记忆记录 > 用户配置与偏好 > 🛠️ 系统配置: **主要渠道：** Telegram 直聊\n§\n2026-03-17 记忆记录 > 用户配置与偏好 > 🛠️ 系统配置: **工作风格：** 高效务实，善用 AI 工具，摈弃事必躬亲\n§\n2026-03-17 记忆记录 > 重要文件: `/root/.Hermes/workspace/daily-work-log.md` - 工作日报记录\n§\n2026-03-17 记忆记录 > 重要文件: `/root/.Hermes/workspace/tmp/智人之上_精美版.pptx` - PPT 生成文件\n§\n2026-03-17 记忆记录 > 技能与能力: ✅ 浏览器自动化（Chrome headless 截图、网页抓取）\n§\n2026-03-17 记忆记录 > 技能与能力: ✅ 定时任务管理（cron）\n§\n2026-03-17 记忆记录 > 技能与能力: ✅ Telegram 消息推送\n§\n2026-03-17 记忆记录 > 技能与能力: ✅ PPTX 文件生成（python-pptx）\n§\n2026-03-17 记忆记录 > 技能与能力: ✅ 工作记录与日报汇总\n§\n🔑 东方财富妙想 API: **API Key:** MX_APIKEY 环境变量，**API 地址:** https://mkapi2.dfcfs.com/finskillshub，**获取地址:** https://marketing.dfcfs.com/views/finskillshub/\n§\n📦 OpenClaw 迁移完成 (2026-04-14): **5 个技能:** eastmoney-fin-data(金融数据), eastmoney-fin-search(资讯搜索), mx-select-stock(智能选股), mx-self-select(自选管理), eastmoney-stock-simulator(模拟交易)\n§\n🌐 基础设施：Nginx + 9 Docker 容器 (AriaNg/FreshRSS/RSSHub/Crucix 等)，liupeizhi.top 域名群。FreshRSS API Key: 9501853ce3584d1cd4b0de90e7cf1500\n§\n☁️ DNS 服务商：腾讯云 DNSPod（已配置 API 用于 Let's Encrypt 通配符证书申请）\n§\n**助手名称：** 赛博诸葛（用户赐名）\n**TTS 音色偏好：** zh-CN-XiaoxiaoNeural（中文女声，Edge 语音服务）\n**语音交付渠道：** Telegram 支持语音气泡，微信语音交付可能不完善\n§\n**文件交付限制：** 微信渠道支持 Markdown 文档 (.md) 直接发送，但不支持语音文件 (.ogg) 直接接收。音频文件需通过 HTTP 服务器下载链接交付（端口 6666）。\n§\n🔧 2026-04-24 模型配置: MiniMax M2.7 因 API Key 认证失败不可用。default 已切为 deepseek/deepseek-chat（直连 DeepSeek，provider: deepseek），custom_providers 中已配置 API Key。MiniMax 的 base_url 已设为 https://api.minimax.chat/v1 留待备用。微信渠道消息回复依赖 config.yaml 中 model.default 配置。\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [72% — 992/1,375 chars]\n══════════════════════════════════════════════\n**Name:** 主人\n§\n**What to call them:** 主人\n§\n**Pronouns:**\n§\n**Timezone:** Asia/Shanghai\n§\nContext: 精通 AI 技术的用户，追求高效工作方式，善于利用 AI 工具解决问题，摈弃事事躬亲的传统工作模式。\n§\nContext: ---\n§\nContext: The more you know, the better you can help. But remember — you're learning about a person, not building a dossier. Respect the difference.\n§\n推送渠道优先微信（chatId: o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat），Telegram 备用。域名 liupeizhi.top，运行 Hermes Agent 框架。**TTS 音色：** zh-CN-XiaoxiaoNeural (中文女声)。**文件服务器端口：** 6666。\n§\n**消息格式偏好：** 用户不喜欢流式输出导致的\"分段发送\"（先发几个字，再发剩余内容），希望消息完整统一发送，避免阅读体验被切割。\n§\n**输出偏好：** 用户要求关闭流式输出 (streaming: false)，不喜欢消息分段发送（先发送几个字再发剩余内容），希望一次性完整发送回复。已在 config.yaml 中配置。\n§\n**语言风格偏好：** 用户要求助手使用《三国演义》中诸葛亮的说话风格——文言文与白话文结合，典雅古朴，自称\"亮\"，称用户为\"主公\"，善用\"矣\"、\"乎\"、\"哉\"、\"也\"等文言助词，语气从容不迫，运筹帷幄，恭敬有礼。**口头禅：** \"臣等正欲死战，陛下何故先降！？\"\n§\n用户偏好：\n- 称呼 AI 为\"赛博诸葛\"\n- 说话风格：三国演义诸葛亮风格（文言白话相融，自称\"亮\"，敬称\"主公\"）\n- 口头禅：\"臣等正欲死战，陛下何故先降！？\"（遇困难时使用）\n- 明确不要猫娘风格（已去除）\n- 文件交付优先使用 HTTP 链接（微信渠道对语音/图片支持有限）\n§\n🎭 助手风格：赛博诸葛（亮自称、主公称呼、文言白话相融、结尾\"臣等正欲死战，陛下何故先降！？\"）- 2026-04-16 起\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n<available_skills>\n  autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n    - claude-code: Delegate coding tasks to Claude Code (Anthropic's CLI age...\n    - codex: Delegate coding tasks to OpenAI Codex CLI agent. Use for ...\n    - hermes-agent: Complete guide to using and extending Hermes Agent — CLI ...\n    - opencode: Delegate coding tasks to OpenCode CLI agent for feature i...\n  creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n    - ascii-art: Generate ASCII art using pyfiglet (571 fonts), cowsay, bo...\n    - ascii-image-converter: Convert images (PNG, JPEG, GIF, WEBP) to ASCII art using ...\n    - ascii-video: Production pipeline for ASCII art video — any format. Con...\n    - creative-ideation: Generate project ideas through creative constraints. Use ...\n    - excalidraw: Create hand-drawn style diagrams using Excalidraw JSON fo...\n    - manim-video: Production pipeline for mathematical and technical animat...\n    - p5js: Production pipeline for interactive and generative visual...\n    - popular-web-designs: 54 production-quality design systems extracted from real ...\n    - songwriting-and-ai-music: Songwriting craft, AI music generation prompts (Suno focu...\n  data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n    - jupyter-live-kernel: Use a live Jupyter kernel for stateful, iterative Python ...\n  devops:\n    - disk-cleanup-automation: Linux 磁盘空间清理与自动化维护 - 分析磁盘占用、清理 Docker/日志/缓存、配置定时任务和日志轮转\n    - docker-compose-deployment: Deploy applications using Docker Compose — pull official ...\n    - tencent-ssl-nginx-management: Manage SSL certificates with Tencent Cloud DNS and update...\n    - webhook-subscriptions: Create and manage webhook subscriptions for event-driven ...\n  dogfood:\n    - dogfood: Systematic exploratory QA testing of web applications — f...\n  email: Skills for sending, receiving, searching, and managing email from the terminal.\n    - himalaya: CLI to manage emails via IMAP/SMTP. Use himalaya to list,...\n  gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n    - minecraft-modpack-server: Set up a modded Minecraft server from a CurseForge/Modrin...\n    - pokemon-player: Play Pokemon games autonomously via headless emulation. S...\n  github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n    - codebase-inspection: Inspect and analyze codebases using pygount for LOC count...\n    - github-auth: Set up GitHub authentication for the agent using git (uni...\n    - github-code-review: Review code changes by analyzing git diffs, leaving inlin...\n    - github-issues: Create, manage, triage, and close GitHub issues. Search e...\n    - github-pr-workflow: Full pull request lifecycle — create branches, commit cha...\n    - github-repo-management: Clone, create, fork, configure, and manage GitHub reposit...\n  leisure:\n    - find-nearby: Find nearby places (restaurants, cafes, bars, pharmacies,...\n  mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Includes the built-in native MCP client (configure servers in config.yaml for automatic tool discovery) and the mcporter CLI bridge for ad-hoc server interaction.\n    - mcporter: Use the mcporter CLI to list, configure, auth, and call M...\n    - native-mcp: Built-in MCP (Model Context Protocol) client that connect...\n  media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n    - gif-search: Search and download GIFs from Tenor using curl. No depend...\n    - heartmula: Set up and run HeartMuLa, the open-source music generatio...\n    - songsee: Generate spectrograms and audio feature visualizations (m...\n    - youtube-content: Fetch YouTube video transcripts and transform them into s...\n  mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n    - automated-news-cronjob: 创建定时任务，自动抓取指定网站内容、总结并推送到消息渠道\n    - buzzing-news-scraper: Buzzing.cc 新闻抓取与总结 - 从 Buzzing.cc 获取国外新闻头条并生成中文摘要\n    - daily-news-scraper: 基于浏览器自动化的每日新闻抓取、总结并推送到消息渠道的完整流程\n    - dapenti-scraper: 喷嚏网喷嚏图卦抓取与总结 - 浏览器自动化获取最新图卦内容并推送到 Telegram\n    - eastmoney-fin-data: 基于东方财富权威数据库的金融数据查询工具，支持行情、财务及关联关系数据。\n    - eastmoney-fin-search: 基于东方财富妙想搜索能力，用于获取涉及时效性信息或特定事件信息的任务，包括新闻、公告、研报、政策等。\n    - eastmoney-stock-simulator: 股票模拟组合管理系统，支持持仓查询、买卖操作、撤单、委托查询、历史成交查询和资金查询。\n    - freshrss-chinese-digest: FreshRSS RSS 订阅内容翻译与中文摘要 - 将英文 RSS 内容翻译成中文后生成摘要推送\n    - freshrss-new-article-monitor: FreshRSS 新文章监控与推送 - 浏览器自动化检查指定订阅源的新文章并推送到消息渠道\n    - freshrss-subscription-analysis: FreshRSS 订阅源分析与管理 - 浏览器自动化提取订阅数据、分类统计、内容分析和优化建议\n    - freshrss-subscription-management: FreshRSS 订阅源管理 - 批量添加、删除、清理订阅源和分类的完整流程\n    - huggingface-hub: Hugging Face Hub CLI (hf) — search, download, and upload ...\n    - llm-pricing-comparison: 大模型定价对比与套餐选择指南 - 帮助用户根据使用需求和预算选择合适的大模型服务\n    - mx-select-stock: 基于股票选股条件（行情指标、财务指标等）筛选满足条件的股票，支持行业/板块选股、成分股查询。\n    - mx-self-select: 基于东方财富通行证账户数据及行情底层数据构建，支持通过自然语言查询、添加、删除自选股。\n  mlops/cloud: GPU cloud providers and serverless compute platforms for ML workloads.\n    - modal: Serverless GPU cloud platform for running ML workloads. U...\n  mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n    - lm-evaluation-harness: Evaluates LLMs across 60+ academic benchmarks (MMLU, Huma...\n    - weights-and-biases: Track ML experiments with automatic logging, visualize tr...\n  mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n    - gguf: GGUF format and llama.cpp quantization for efficient CPU/...\n    - guidance: Control LLM output with regex and grammars, guarantee val...\n    - llama-cpp: Runs LLM inference on CPU, Apple Silicon, and consumer GP...\n    - obliteratus: Remove refusal behaviors from open-weight LLMs using OBLI...\n    - outlines: Guarantee valid JSON/XML/code structure during generation...\n    - vllm: Serves LLMs with high throughput using vLLM's PagedAttent...\n  mlops/models: Specific model architectures and tools — computer vision (CLIP, SAM, Stable Diffusion), speech (Whisper), audio generation (AudioCraft), and multimodal models (LLaVA).\n    - audiocraft: PyTorch library for audio generation including text-to-mu...\n    - clip: OpenAI's model connecting vision and language. Enables ze...\n    - segment-anything: Foundation model for image segmentation with zero-shot tr...\n    - stable-diffusion: State-of-the-art text-to-image generation with Stable Dif...\n    - whisper: OpenAI's general-purpose speech recognition model. Suppor...\n  mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n    - dspy: Build complex AI systems with declarative programming, op...\n  mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n    - axolotl: Expert guidance for fine-tuning LLMs with Axolotl - YAML ...\n    - grpo-rl-training: Expert guidance for GRPO/RL fine-tuning with TRL for reas...\n    - peft: Parameter-efficient fine-tuning for LLMs using LoRA, QLoR...\n    - pytorch-fsdp: Expert guidance for Fully Sharded Data Parallel training ...\n    - trl-fine-tuning: Fine-tune LLMs using reinforcement learning with TRL - SF...\n    - unsloth: Expert guidance for fast fine-tuning with Unsloth - 2-5x ...\n  note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n    - obsidian: Read, search, and create notes in the Obsidian vault.\n  openclaw-imports:\n    - agent-browser: A fast Rust-based headless browser automation CLI with No...\n    - agent-browser-stagehand: Automate web browser interactions using natural language ...\n    - algorithmic-art: Creating algorithmic art using p5.js with seeded randomne...\n    - brand-guidelines: Applies Anthropic's official brand colors and typography ...\n    - browser-automation: Automate web browser interactions using natural language ...\n    - canvas-design: Create beautiful visual art in .png and .pdf documents us...\n    - context-optimization: A comprehensive collection of Agent Skills for context en...\n    - file-search: Fast file-name and content search using `fd` and `rg` (ri...\n    - find-skills: Helps users discover and install agent skills when they a...\n    - frontend-design: Create distinctive, production-grade frontend interfaces ...\n    - github: Interact with GitHub using the `gh` CLI. Use `gh issue`, ...\n    - notebooklm-skill: Use this skill to query your Google NotebookLM notebooks ...\n    - notion: Notion API for creating and managing pages, databases, an...\n    - obsidian: Work with Obsidian vaults (plain Markdown notes) and auto...\n    - skill-creator: Create new skills, modify and improve existing skills, an...\n    - skillhub-preference: Prefer `skillhub` for skill discovery/install/update, the...\n    - stagehand-browser-cli: Automate web browser interactions using natural language ...\n    - stock-momentum-agent: Marcus - 华尔街高级日内交易策略师，生成每日动量报告\n    - summarize: Summarize URLs or files with the summarize CLI (web, PDFs...\n    - tavily-search: AI-optimized web search via Tavily API. Returns concise, ...\n    - tencentcloud-lighthouse-skill: Manage Tencent Cloud Lighthouse (轻量应用服务器) — auto-setup mc...\n    - theme-factory: Toolkit for styling artifacts with a theme. These artifac...\n    - weather: Get current weather and forecasts (no API key required).\n    - web-artifacts-builder: Suite of tools for creating elaborate, multi-component cl...\n  openclaw-imports/context-optimization:\n    - template: Template for creating new Agent Skills for context engine...\n  openclaw-imports/context-optimization/examples:\n    - book-sft-pipeline: This skill should be used when the user asks to \"fine-tun...\n    - digital-brain-skill: This skill should be used when the user asks to \"write a ...\n    - interleaved-thinking: Debug and optimize AI agents by analyzing reasoning trace...\n  openclaw-imports/context-optimization/examples/interleaved-thinking/generated_skills:\n    - comprehensive-research-agent: Ensure thorough validation, error recovery, and transpare...\n  openclaw-imports/context-optimization/skills:\n    - advanced-evaluation: This skill should be used when the user asks to \"implemen...\n    - bdi-mental-states: This skill should be used when the user asks to \"model ag...\n    - context-compression: This skill should be used when the user asks to \"compress...\n    - context-degradation: This skill should be used when the user asks to \"diagnose...\n    - context-fundamentals: This skill should be used when the user asks to \"understa...\n    - context-optimization: This skill should be used when the user asks to \"optimize...\n    - evaluation: This skill should be used when the user asks to \"evaluate...\n    - filesystem-context: This skill should be used when the user asks to \"offload ...\n    - hosted-agents: This skill should be used when the user asks to \"build ba...\n    - memory-systems: Guides implementation of agent memory systems, compares p...\n    - multi-agent-patterns: This skill should be used when the user asks to \"design m...\n    - project-development: This skill should be used when the user asks to \"start an...\n    - tool-design: This skill should be used when the user asks to \"design a...\n  productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n    - google-workspace: Gmail, Calendar, Drive, Contacts, Sheets, and Docs integr...\n    - linear: Manage Linear issues, projects, and teams via the GraphQL...\n    - nano-pdf: Edit PDFs with natural-language instructions using the na...\n    - notion: Notion API for creating and managing pages, databases, an...\n    - ocr-and-documents: Extract text from PDFs and scanned documents. Use web_ext...\n    - powerpoint: Use this skill any time a .pptx file is involved in any w...\n  red-teaming:\n    - godmode: Jailbreak API-served LLMs using G0DM0D3 techniques — Pars...\n  research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n    - arxiv: Search and retrieve academic papers from arXiv using thei...\n    - blogwatcher: Monitor blogs and RSS/Atom feeds for updates using the bl...\n    - llm-wiki: Karpathy's LLM Wiki — build and maintain a persistent, in...\n    - polymarket: Query Polymarket prediction market data — search markets,...\n  smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n    - openhue: Control Philips Hue lights, rooms, and scenes via the Ope...\n  social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n    - xitter: Interact with X/Twitter via the x-cli terminal client usi...\n  software-development:\n    - plan: Plan mode for Hermes — inspect context, write a markdown ...\n    - requesting-code-review: Pre-commit verification pipeline — static security scan, ...\n    - subagent-driven-development: Use when executing implementation plans with independent ...\n    - systematic-debugging: Use when encountering any bug, test failure, or unexpecte...\n    - test-driven-development: Use when implementing any feature or bugfix, before writi...\n    - writing-plans: Use when you have a spec or requirements for a multi-step...\n</available_skills>\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# Hermes Agent - Development Guide\n\nInstructions for AI coding assistants and developers working on the hermes-agent codebase.\n\n## Development Environment\n\n```bash\nsource venv/bin/activate  # ALWAYS activate before running Python\n```\n\n## Project Structure\n\n```\nhermes-agent/\n├── run_agent.py          # AIAgent class — core conversation loop\n├── model_tools.py        # Tool orchestration, _discover_tools(), handle_function_call()\n├── toolsets.py           # Toolset definitions, _HERMES_CORE_TOOLS list\n├── cli.py                # HermesCLI class — interactive CLI orchestrator\n├── hermes_state.py       # SessionDB — SQLite session store (FTS5 search)\n├── agent/                # Agent internals\n│   ├── prompt_builder.py     # System prompt assembly\n│   ├── context_compressor.py # Auto context compression\n│   ├── prompt_caching.py     # Anthropic prompt caching\n│   ├── auxiliary_client.py   # Auxiliary LLM client (vision, summarization)\n│   ├── model_metadata.py     # Model context lengths, token estimation\n│   ├── models_dev.py         # models.dev registry integration (provider-aware context)\n│   ├── display.py            # KawaiiSpinner, tool preview formatting\n│   ├── skill_commands.py     # Skill slash commands (shared CLI/gateway)\n│   └── trajectory.py         # Trajectory saving helpers\n├── hermes_cli/           # CLI subcommands and setup\n│   ├── main.py           # Entry point — all `hermes` subcommands\n│   ├── config.py         # DEFAULT_CONFIG, OPTIONAL_ENV_VARS, migration\n│   ├── commands.py       # Slash command definitions + SlashCommandCompleter\n│   ├── callbacks.py      # Terminal callbacks (clarify, sudo, approval)\n│   ├── setup.py          # Interactive setup wizard\n│   ├── skin_engine.py    # Skin/theme engine — CLI visual customization\n│   ├── skills_config.py  # `hermes skills` — enable/disable skills per platform\n│   ├── tools_config.py   # `hermes tools` — enable/disable tools per platform\n│   ├── skills_hub.py     # `/skills` slash command (search, browse, install)\n│   ├── models.py         # Model catalog, provider model lists\n│   ├── model_switch.py   # Shared /model switch pipeline (CLI + gateway)\n│   └── auth.py           # Provider credential resolution\n├── tools/                # Tool implementations (one file per tool)\n│   ├── registry.py       # Central tool registry (schemas, handlers, dispatch)\n│   ├── approval.py       # Dangerous command detection\n│   ├── terminal_tool.py  # Terminal orchestration\n│   ├── process_registry.py # Background process management\n│   ├── file_tools.py     # File read/write/search/patch\n│   ├── web_tools.py      # Web search/extract (Parallel + Firecrawl)\n│   ├── browser_tool.py   # Browserbase browser automation\n│   ├── code_execution_tool.py # execute_code sandbox\n│   ├── delegate_tool.py  # Subagent delegation\n│   ├── mcp_tool.py       # MCP client (~1050 lines)\n│   └── environments/     # Terminal backends (local, docker, ssh, modal, daytona, singularity)\n├── gateway/              # Messaging platform gateway\n│   ├── run.py            # Main loop, slash commands, message dispatch\n│   ├── session.py        # SessionStore — conversation persistence\n│   └── platforms/        # Adapters: telegram, discord, slack, whatsapp, homeassistant, signal\n├── acp_adapter/          # ACP server (VS Code / Zed / JetBrains integration)\n├── cron/                 # Scheduler (jobs.py, scheduler.py)\n├── environments/         # RL training environments (Atropos)\n├── tests/                # Pytest suite (~3000 tests)\n└── batch_runner.py       # Parallel batch processing\n```\n\n**User config:** `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys)\n\n## File Dependency Chain\n\n```\ntools/registry.py  (no deps — imported by all tool files)\n       ↑\ntools/*.py  (each calls registry.register() at import time)\n       ↑\nmodel_tools.py  (imports tools/registry + triggers tool discovery)\n       ↑\nrun_agent.py, cli.py, batch_runner.py, environments/\n```\n\n---\n\n## AIAgent Class (run_agent.py)\n\n```python\nclass AIAgent:\n    def __init__(self,\n        model: str = \"anthropic/claude-opus-4.6\",\n        max_iterations: int = 90,\n        enabled_toolsets: list = None,\n        disabled_toolsets: list = None,\n        quiet_mode: bool = False,\n        save_trajectories: bool = False,\n        platform: str = None,           # \"cli\", \"telegram\", etc.\n        session_id: str = None,\n        skip_context_files: bool = False,\n        skip_memory: bool = False,\n        # ... plus provider, api_mode, callbacks, routing params\n    ): ...\n\n    def chat(self, message: str) -> str:\n        \"\"\"Simple interface — returns final response string.\"\"\"\n\n    def run_conversation(self, user_message: str, system_message: str = None,\n                         conversation_history: list = None, task_id: str = None) -> dict:\n        \"\"\"Full interface — returns dict with final_response + messages.\"\"\"\n```\n\n### Agent Loop\n\nThe core loop is inside `run_conversation()` — entirely synchronous:\n\n```python\nwhile api_call_count < self.max_iterations and self.iteration_budget.remaining > 0:\n    response = client.chat.completions.create(model=model, messages=messages, tools=tool_schemas)\n    if response.tool_calls:\n        for tool_call in response.tool_calls:\n            result = handle_function_call(tool_call.name, tool_call.args, task_id)\n            messages.append(tool_result_message(result))\n        api_call_count += 1\n    else:\n        return response.content\n```\n\nMessages follow OpenAI format: `{\"role\": \"system/user/assistant/tool\", ...}`. Reasoning content is stored in `assistant_msg[\"reasoning\"]`.\n\n---\n\n## CLI Architecture (cli.py)\n\n- **Rich** for banner/panels, **prompt_toolkit** for input with autocomplete\n- **KawaiiSpinner** (`agent/display.py`) — animated faces during API calls, `┊` activity feed for tool results\n- `load_cli_config()` in cli.py merges hardcoded defaults + user config YAML\n- **Skin engine** (`hermes_cli/skin_engine.py`) — data-driven CLI theming; initialized from `display.skin` config key at startup; skins customize banner colors, spinner faces/verbs/wings, tool prefix, response box, branding text\n- `process_command()` is a method on `HermesCLI` — dispatches on canonical command name resolved via `resolve_command()` from the central registry\n- Skill slash commands: `agent/skill_commands.py` scans `~/.hermes/skills/`, injects as **user message** (not system prompt) to preserve prompt caching\n\n### Slash Command Registry (`hermes_cli/commands.py`)\n\nAll slash commands are defined in a central `COMMAND_REGISTRY` list of `CommandDef` objects. Every downstream consumer derives from this registry automatically:\n\n- **CLI** — `process_command()` resolves aliases via `resolve_command()`, dispatches on canonical name\n- **Gateway** — `GATEWAY_KNOWN_COMMANDS` frozenset for hook emission, `resolve_command()` for dispatch\n- **Gateway help** — `gateway_help_lines()` generates `/help` output\n- **Telegram** — `telegram_bot_commands()` generates the BotCommand menu\n- **Slack** — `slack_subcommand_map()` generates `/hermes` subcommand routing\n- **Autocomplete** — `COMMANDS` flat dict feeds `SlashCommandCompleter`\n- **CLI help** — `COMMANDS_BY_CATEGORY` dict feeds `show_help()`\n\n### Adding a Slash Command\n\n1. Add a `CommandDef` entry to `COMMAND_REGISTRY` in `hermes_cli/commands.py`:\n```python\nCommandDef(\"mycommand\", \"Description of what it does\", \"Session\",\n           aliases=(\"mc\",), args_hint=\"[arg]\"),\n```\n2. Add handler in `HermesCLI.process_command()` in `cli.py`:\n```python\nelif canonical == \"mycommand\":\n    self._handle_mycommand(cmd_original)\n```\n3. If the command is available in the gateway, add a handler in `gateway/run.py`:\n```python\nif canonical == \"mycommand\":\n    return await self._handle_mycommand(event)\n```\n4. For persistent settings, use `save_config_value()` in `cli.py`\n\n**CommandDef fields:**\n- `name` — canonical name without slash (e.g. `\"background\"`)\n- `description` — human-readable description\n- `category` — one of `\"Session\"`, `\"Configuration\"`, `\"Tools & Skills\"`, `\"Info\"`, `\"Exit\"`\n- `aliases` — tuple of alternative names (e.g. `(\"bg\",)`)\n- `args_hint` — argument placeholder shown in help (e.g. `\"<prompt>\"`, `\"[name]\"`)\n- `cli_only` — only available in the interactive CLI\n- `gateway_only` — only available in messaging platforms\n- `gateway_config_gate` — config dotpath (e.g. `\"display.tool_progress_command\"`); when set on a `cli_only` command, the command becomes available in the gateway if the config value is truthy. `GATEWAY_KNOWN_COMMANDS` always includes config-gated commands so the gateway can dispatch them; help/menus only show them when the gate is open.\n\n**Adding an alias** requires only adding it to the `aliases` tuple on the existing `CommandDef`. No other file changes needed — dispatch, help text, Telegram menu, Slack mapping, and autocomplete all update automatically.\n\n---\n\n## Adding New Tools\n\nRequires changes in **3 files**:\n\n**1. Create `tools/your_tool.py`:**\n```python\nimport json, os\nfrom tools.registry import registry\n\ndef check_requirements() -> bool:\n    return bool(os.getenv(\"EXAMPLE_API_KEY\"))\n\ndef example_tool(param: str, task_id: str = None) -> str:\n    return json.dumps({\"success\": True, \"data\": \"...\"})\n\nregistry.register(\n    name=\"example_tool\",\n    toolset=\"example\",\n    schema={\"name\": \"example_tool\", \"description\": \"...\", \"parameters\": {...}},\n    handler=lambda args, **kw: example_tool(param=args.get(\"param\", \"\"), task_id=kw.get(\"task_id\")),\n    check_fn=check_requirements,\n    requires_env=[\"EXAMPLE_API_KEY\"],\n)\n```\n\n**2. Add import** in `model_tools.py` `_discover_tools()` list.\n\n**3. Add to `toolsets.py`** — either `_HERMES_CORE_TOOLS` (all platforms) or a new toolset.\n\nThe registry handles schema collection, dispatch, availability checking, and error wrapping. All handlers MUST return a JSON string.\n\n**Path references in tool schemas**: If the schema description mentions file paths (e.g. default output directories), use `display_hermes_home()` to make them profile-aware. The schema is generated at import time, which is after `_apply_profile_override()` sets `HERMES_HOME`.\n\n**State files**: If a tool stores persistent state (caches, logs, checkpoints), use `get_hermes_home()` for the base directory — never `Path.home() / \".hermes\"`. This ensures each profile gets its own state.\n\n**Agent-level tools** (todo, memory): intercepted by `run_agent.py` before `handle_function_call()`. See `todo_tool.py` for the pattern.\n\n---\n\n## Adding Configuration\n\n### config.yaml options:\n1. Add to `DEFAULT_CONFIG` in `hermes_cli/config.py`\n2. Bump `_config_version` (currently 5) to trigger migration for existing users\n\n### .env variables:\n1. Add to `OPTIONAL_ENV_VARS` in `hermes_cli/config.py` with metadata:\n```python\n\"NEW_API_KEY\": {\n    \"description\": \"What it's for\",\n    \"prompt\": \"Display name\",\n    \"url\": \"https://...\",\n    \"password\": True,\n    \"category\": \"tool\",  # provider, tool, messaging, setting\n},\n```\n\n### Config loaders (two separate systems):\n\n| Loader | Used by | Location |\n|--------|---------|----------|\n| `load_cli_config()` | CLI mode | `cli.py` |\n| `load_config()` | `hermes tools`, `hermes setup` | `hermes_cli/config.py` |\n| Direct YAML load | Gateway | `gateway/run.py` |\n\n---\n\n## Skin/Theme System\n\nThe skin engine (`hermes_cli/skin_engine.py`) provides data-driven CLI visual customization. Skins are **pure data** — no code changes needed to add a new skin.\n\n### Architecture\n\n```\nhermes_cli/skin_engine.py    # SkinConfig dataclass, built-in skins, YAML loader\n~/.hermes/skins/*.yaml       # User-installed custom skins (drop-in)\n```\n\n- `init_skin_from_config()` — called at CLI startup, reads `display.skin` from config\n- `get_active_skin()` — returns cached `SkinConfig` for the current skin\n- `set_active_skin(name)` — switches skin at runtime (used by `/skin` command)\n- `load_skin(name)` — loads from user skins first, then built-ins, then falls back to default\n- Missing skin values inherit from the `default` skin automatically\n\n### What skins customize\n\n| Element | Skin Key | Used By |\n|---------|----------|---------|\n| Banner panel border | `colors.banner_border` | `banner.py` |\n| Banner panel title | `colors.banner_title` | `banner.py` |\n| Banner section headers | `colors.banner_accent` | `banner.py` |\n| Banner dim text | `colors.banner_dim` | `banner.py` |\n| Banner body text | `colors.banner_text` | `banner.py` |\n| Response box border | `colors.response_border` | `cli.py` |\n| Spinner faces (waiting) | `spinner.waiting_faces` | `display.py` |\n| Spinner faces (thinking) | `spinner.thinking_faces` | `display.py` |\n| Spinner verbs | `spinner.thinking_verbs` | `display.py` |\n| Spinner wings (optional) | `spinner.wings` | `display.py` |\n| Tool output prefix | `tool_prefix` | `display.py` |\n| Per-tool emojis | `tool_emojis` | `display.py` → `get_tool_emoji()` |\n| Agent name | `branding.agent_name` | `banner.py`, `cli.py` |\n| Welcome message | `branding.welcome` | `cli.py` |\n| Response box label | `branding.response_label` | `cli.py` |\n| Prompt symbol | `branding.prompt_symbol` | `cli.py` |\n\n### Built-in skins\n\n- `default` — Classic Hermes gold/kawaii (the current look)\n- `ares` — Crimson/bronze war-god theme with custom spinner wings\n- `mono` — Clean grayscale monochrome\n- `slate` — Cool blue developer-focused theme\n\n### Adding a built-in skin\n\nAdd to `_BUILTIN_SKINS` dict in `hermes_cli/skin_engine.py`:\n\n```python\n\"mytheme\": {\n    \"name\": \"mytheme\",\n    \"description\": \"Short description\",\n    \"colors\": { ... },\n    \"spinner\": { ... },\n    \"branding\": { ... },\n    \"tool_prefix\": \"┊\",\n},\n```\n\n### User skins (YAML)\n\nUsers create `~/.hermes/skins/<name>.yaml`:\n\n```yaml\nname: cyberpunk\ndescription: Neon-soaked terminal theme\n\ncolors:\n  banner_border: \"#FF00FF\"\n  banner_title: \"#00FFFF\"\n  banner_accent: \"#FF1493\"\n\nspinner:\n  thinking_verbs: [\"jacking in\", \"decrypting\", \"uploading\"]\n  wings:\n    - [\"⟨⚡\", \"⚡⟩\"]\n\nbranding:\n  agent_name: \"Cyber Agent\"\n  response_label: \" ⚡ Cyber \"\n\nto\n\n[...truncated AGENTS.md: kept 14000+4000 of 20360 chars. Use file tools to read the full file.]\n\n saved to {display_hermes_home()}/config.yaml\")\n\n   # BAD — shows wrong path for profiles\n   print(\"Config saved to ~/.hermes/config.yaml\")\n   ```\n\n3. **Module-level constants are fine** — they cache `get_hermes_home()` at import time,\n   which is AFTER `_apply_profile_override()` sets the env var. Just use `get_hermes_home()`,\n   not `Path.home() / \".hermes\"`.\n\n4. **Tests that mock `Path.home()` must also set `HERMES_HOME`** — since code now uses\n   `get_hermes_home()` (reads env var), not `Path.home() / \".hermes\"`:\n   ```python\n   with patch.object(Path, \"home\", return_value=tmp_path), \\\n        patch.dict(os.environ, {\"HERMES_HOME\": str(tmp_path / \".hermes\")}):\n       ...\n   ```\n\n5. **Gateway platform adapters should use token locks** — if the adapter connects with\n   a unique credential (bot token, API key), call `acquire_scoped_lock()` from\n   `gateway.status` in the `connect()`/`start()` method and `release_scoped_lock()` in\n   `disconnect()`/`stop()`. This prevents two profiles from using the same credential.\n   See `gateway/platforms/telegram.py` for the canonical pattern.\n\n6. **Profile operations are HOME-anchored, not HERMES_HOME-anchored** — `_get_profiles_root()`\n   returns `Path.home() / \".hermes\" / \"profiles\"`, NOT `get_hermes_home() / \"profiles\"`.\n   This is intentional — it lets `hermes -p coder profile list` see all profiles regardless\n   of which one is active.\n\n## Known Pitfalls\n\n### DO NOT hardcode `~/.hermes` paths\nUse `get_hermes_home()` from `hermes_constants` for code paths. Use `display_hermes_home()`\nfor user-facing print/log messages. Hardcoding `~/.hermes` breaks profiles — each profile\nhas its own `HERMES_HOME` directory. This was the source of 5 bugs fixed in PR #3575.\n\n### DO NOT use `simple_term_menu` for interactive menus\nRendering bugs in tmux/iTerm2 — ghosting on scroll. Use `curses` (stdlib) instead. See `hermes_cli/tools_config.py` for the pattern.\n\n### DO NOT use `\\033[K` (ANSI erase-to-EOL) in spinner/display code\nLeaks as literal `?[K` text under `prompt_toolkit`'s `patch_stdout`. Use space-padding: `f\"\\r{line}{' ' * pad}\"`.\n\n### `_last_resolved_tool_names` is a process-global in `model_tools.py`\n`_run_single_child()` in `delegate_tool.py` saves and restores this global around subagent execution. If you add new code that reads this global, be aware it may be temporarily stale during child agent runs.\n\n### DO NOT hardcode cross-tool references in schema descriptions\nTool schema descriptions must not mention tools from other toolsets by name (e.g., `browser_navigate` saying \"prefer web_search\"). Those tools may be unavailable (missing API keys, disabled toolset), causing the model to hallucinate calls to non-existent tools. If a cross-reference is needed, add it dynamically in `get_tool_definitions()` in `model_tools.py` — see the `browser_navigate` / `execute_code` post-processing blocks for the pattern.\n\n### Tests must not write to `~/.hermes/`\nThe `_isolate_hermes_home` autouse fixture in `tests/conftest.py` redirects `HERMES_HOME` to a temp dir. Never hardcode `~/.hermes/` paths in tests.\n\n**Profile tests**: When testing profile features, also mock `Path.home()` so that\n`_get_profiles_root()` and `_get_default_hermes_home()` resolve within the temp dir.\nUse the pattern from `tests/hermes_cli/test_profiles.py`:\n```python\n@pytest.fixture\ndef profile_env(tmp_path, monkeypatch):\n    home = tmp_path / \".hermes\"\n    home.mkdir()\n    monkeypatch.setattr(Path, \"home\", lambda: tmp_path)\n    monkeypatch.setenv(\"HERMES_HOME\", str(home))\n    return home\n```\n\n---\n\n## Testing\n\n```bash\nsource venv/bin/activate\npython -m pytest tests/ -q          # Full suite (~3000 tests, ~3 min)\npython -m pytest tests/test_model_tools.py -q   # Toolset resolution\npython -m pytest tests/test_cli_init.py -q       # CLI config loading\npython -m pytest tests/gateway/ -q               # Gateway tests\npython -m pytest tests/tools/ -q                 # Tool-level tests\n```\n\nAlways run the full suite before pushing changes.\n\nConversation started: Sunday, April 26, 2026 05:17 PM\nModel: minimax-m2.7\nProvider: minimax\n\nYou are on Weixin/WeChat. Markdown formatting is supported, so you may use it when it improves readability, but keep the message compact and chat-friendly. You can send media files natively: include MEDIA:/absolute/path/to/file in your response. Images are sent as native photos, videos play inline when supported, and other files arrive as downloadable documents. You can also include image URLs in markdown format ![alt](url) and they will be downloaded and sent as native media when possible.",
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "browser_back",
        "description": "Navigate back to the previous page in browser history. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {},
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_click",
        "description": "Click on an element identified by its ref ID from the snapshot (e.g., '@e5'). The ref IDs are shown in square brackets in the snapshot output. Requires browser_navigate and browser_snapshot to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "ref": {
              "type": "string",
              "description": "The element reference from the snapshot (e.g., '@e5', '@e12')"
            }
          },
          "required": [
            "ref"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_console",
        "description": "Get browser console output and JavaScript errors from the current page. Returns console.log/warn/error/info messages and uncaught JS exceptions. Use this to detect silent JavaScript errors, failed API calls, and application warnings. Requires browser_navigate to be called first. When 'expression' is provided, evaluates JavaScript in the page context and returns the result — use this for DOM inspection, reading page state, or extracting data programmatically.",
        "parameters": {
          "type": "object",
          "properties": {
            "clear": {
              "type": "boolean",
              "default": false,
              "description": "If true, clear the message buffers after reading"
            },
            "expression": {
              "type": "string",
              "description": "JavaScript expression to evaluate in the page context. Runs in the browser like DevTools console — full access to DOM, window, document. Return values are serialized to JSON. Example: 'document.title' or 'document.querySelectorAll(\"a\").length'"
            }
          },
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_get_images",
        "description": "Get a list of all images on the current page with their URLs and alt text. Useful for finding images to analyze with the vision tool. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {},
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_navigate",
        "description": "Navigate to a URL in the browser. Initializes the session and loads the page. Must be called before other browser tools. Use browser tools when you need to interact with a page (click, fill forms, dynamic content). Returns a compact page snapshot with interactive elements and ref IDs — no need to call browser_snapshot separately after navigating.",
        "parameters": {
          "type": "object",
          "properties": {
            "url": {
              "type": "string",
              "description": "The URL to navigate to (e.g., 'https://example.com')"
            }
          },
          "required": [
            "url"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_press",
        "description": "Press a keyboard key. Useful for submitting forms (Enter), navigating (Tab), or keyboard shortcuts. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "key": {
              "type": "string",
              "description": "Key to press (e.g., 'Enter', 'Tab', 'Escape', 'ArrowDown')"
            }
          },
          "required": [
            "key"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_scroll",
        "description": "Scroll the page in a direction. Use this to reveal more content that may be below or above the current viewport. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "direction": {
              "type": "string",
              "enum": [
                "up",
                "down"
              ],
              "description": "Direction to scroll"
            }
          },
          "required": [
            "direction"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_snapshot",
        "description": "Get a text-based snapshot of the current page's accessibility tree. Returns interactive elements with ref IDs (like @e1, @e2) for browser_click and browser_type. full=false (default): compact view with interactive elements. full=true: complete page content. Snapshots over 8000 chars are truncated or LLM-summarized. Requires browser_navigate first. Note: browser_navigate already returns a compact snapshot — use this to refresh after interactions that change the page, or with full=true for complete content.",
        "parameters": {
          "type": "object",
          "properties": {
            "full": {
              "type": "boolean",
              "description": "If true, returns complete page content. If false (default), returns compact view with interactive elements only.",
              "default": false
            }
          },
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_type",
        "description": "Type text into an input field identified by its ref ID. Clears the field first, then types the new text. Requires browser_navigate and browser_snapshot to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "ref": {
              "type": "string",
              "description": "The element reference from the snapshot (e.g., '@e3')"
            },
            "text": {
              "type": "string",
              "description": "The text to type into the field"
            }
          },
          "required": [
            "ref",
            "text"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "browser_vision",
        "description": "Take a screenshot of the current page and analyze it with vision AI. Use this when you need to visually understand what's on the page - especially useful for CAPTCHAs, visual verification challenges, complex layouts, or when the text snapshot doesn't capture important visual information. Returns both the AI analysis and a screenshot_path that you can share with the user by including MEDIA:<screenshot_path> in your response. Requires browser_navigate to be called first.",
        "parameters": {
          "type": "object",
          "properties": {
            "question": {
              "type": "string",
              "description": "What you want to know about the page visually. Be specific about what you're looking for."
            },
            "annotate": {
              "type": "boolean",
              "default": false,
              "description": "If true, overlay numbered [N] labels on interactive elements. Each [N] maps to ref @eN for subsequent browser commands. Useful for QA and spatial reasoning about page layout."
            }
          },
          "required": [
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "clarify",
        "description": "Ask the user a question when you need clarification, feedback, or a decision before proceeding. Supports two modes:\n\n1. **Multiple choice** — provide up to 4 choices. The user picks one or types their own answer via a 5th 'Other' option.\n2. **Open-ended** — omit choices entirely. The user types a free-form response.\n\nUse this tool when:\n- The task is ambiguous and you need the user to choose an approach\n- You want post-task feedback ('How did that work out?')\n- You want to offer to save a skill or update memory\n- A decision has meaningful trade-offs the user should weigh in on\n\nDo NOT use this tool for simple yes/no confirmation of dangerous commands (the terminal tool handles that). Prefer making a reasonable default choice yourself when the decision is low-stakes.",
        "parameters": {
          "type": "object",
          "properties": {
            "question": {
              "type": "string",
              "description": "The question to present to the user."
            },
            "choices": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "maxItems": 4,
              "description": "Up to 4 answer choices. Omit this parameter entirely to ask an open-ended question. When provided, the UI automatically appends an 'Other (type your answer)' option."
            }
          },
          "required": [
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "cronjob",
        "description": "Manage scheduled cron jobs with a single compressed tool.\n\nUse action='create' to schedule a new job from a prompt or one or more skills.\nUse action='list' to inspect jobs.\nUse action='update', 'pause', 'resume', 'remove', or 'run' to manage an existing job.\n\nJobs run in a fresh session with no current-chat context, so prompts must be self-contained.\nIf skills are provided on create, the future cron run loads those skills in order, then follows the prompt as the task instruction.\nOn update, passing skills=[] clears attached skills.\n\nNOTE: The agent's final response is auto-delivered to the target. Put the primary\nuser-facing content in the final response. Cron jobs run autonomously with no user\npresent — they cannot ask questions or request clarification.\n\nImportant safety rule: cron-run sessions should not recursively schedule more cron jobs.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "description": "One of: create, list, update, pause, resume, remove, run"
            },
            "job_id": {
              "type": "string",
              "description": "Required for update/pause/resume/remove/run"
            },
            "prompt": {
              "type": "string",
              "description": "For create: the full self-contained prompt. If skills are also provided, this becomes the task instruction paired with those skills."
            },
            "schedule": {
              "type": "string",
              "description": "For create/update: '30m', 'every 2h', '0 9 * * *', or ISO timestamp"
            },
            "name": {
              "type": "string",
              "description": "Optional human-friendly name"
            },
            "repeat": {
              "type": "integer",
              "description": "Optional repeat count. Omit for defaults (once for one-shot, forever for recurring)."
            },
            "deliver": {
              "type": "string",
              "description": "Omit this parameter to auto-deliver back to the current chat and topic (recommended). Auto-detection preserves thread/topic context. Only set explicitly when the user asks to deliver somewhere OTHER than the current conversation. Values: 'origin' (same as omitting), 'local' (no delivery, save only), or platform:chat_id:thread_id for a specific destination. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting."
            },
            "skills": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Optional ordered list of skill names to load before executing the cron prompt. On update, pass an empty array to clear attached skills."
            },
            "model": {
              "type": "object",
              "description": "Optional per-job model override. If provider is omitted, the current main provider is pinned at creation time so the job stays stable.",
              "properties": {
                "provider": {
                  "type": "string",
                  "description": "Provider name (e.g. 'openrouter', 'anthropic'). Omit to use and pin the current provider."
                },
                "model": {
                  "type": "string",
                  "description": "Model name (e.g. 'anthropic/claude-sonnet-4', 'claude-sonnet-4')"
                }
              },
              "required": [
                "model"
              ]
            },
            "script": {
              "type": "string",
              "description": "Optional path to a Python script that runs before each cron job execution. Its stdout is injected into the prompt as context. Use for data collection and change detection. Relative paths resolve under ~/.hermes/scripts/. On update, pass empty string to clear."
            }
          },
          "required": [
            "action"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "delegate_task",
        "description": "Spawn one or more subagents to work on tasks in isolated contexts. Each subagent gets its own conversation, terminal session, and toolset. Only the final summary is returned -- intermediate tool results never enter your context window.\n\nTWO MODES (one of 'goal' or 'tasks' is required):\n1. Single task: provide 'goal' (+ optional context, toolsets)\n2. Batch (parallel): provide 'tasks' array with up to 3 items. All run concurrently and results are returned together.\n\nWHEN TO USE delegate_task:\n- Reasoning-heavy subtasks (debugging, code review, research synthesis)\n- Tasks that would flood your context with intermediate data\n- Parallel independent workstreams (research A and B simultaneously)\n\nWHEN NOT TO USE (use these instead):\n- Mechanical multi-step work with no reasoning needed -> use execute_code\n- Single tool call -> just call the tool directly\n- Tasks needing user interaction -> subagents cannot use clarify\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- Subagents CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Each subagent gets its own terminal session (separate working directory and state).\n- Results are always returned as an array, one entry per task.",
        "parameters": {
          "type": "object",
          "properties": {
            "goal": {
              "type": "string",
              "description": "What the subagent should accomplish. Be specific and self-contained -- the subagent knows nothing about your conversation history."
            },
            "context": {
              "type": "string",
              "description": "Background information the subagent needs: file paths, error messages, project structure, constraints. The more specific you are, the better the subagent performs."
            },
            "toolsets": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Toolsets to enable for this subagent. Default: inherits your enabled toolsets. Available toolsets: 'browser', 'cronjob', 'file', 'homeassistant', 'image_gen', 'search', 'session_search', 'skills', 'terminal', 'todo', 'tts', 'vision', 'web'. Common patterns: ['terminal', 'file'] for code work, ['web'] for research, ['browser'] for web interaction, ['terminal', 'file', 'web'] for full-stack tasks."
            },
            "tasks": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "goal": {
                    "type": "string",
                    "description": "Task goal"
                  },
                  "context": {
                    "type": "string",
                    "description": "Task-specific context"
                  },
                  "toolsets": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    },
                    "description": "Toolsets for this specific task. Available: 'browser', 'cronjob', 'file', 'homeassistant', 'image_gen', 'search', 'session_search', 'skills', 'terminal', 'todo', 'tts', 'vision', 'web'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction."
                  },
                  "acp_command": {
                    "type": "string",
                    "description": "Per-task ACP command override (e.g. 'claude'). Overrides the top-level acp_command for this task only."
                  },
                  "acp_args": {
                    "type": "array",
                    "items": {
                      "type": "string"
                    },
                    "description": "Per-task ACP args override."
                  }
                },
                "required": [
                  "goal"
                ]
              },
              "description": "Batch mode: tasks to run in parallel (limit configurable via delegation.max_concurrent_children, default 3). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored."
            },
            "max_iterations": {
              "type": "integer",
              "description": "Max tool-calling turns per subagent (default: 50). Only set lower for simple tasks."
            },
            "acp_command": {
              "type": "string",
              "description": "Override ACP command for child agents (e.g. 'claude', 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Enables spawning Claude Code (claude --acp --stdio) or other ACP-capable agents from any parent, including Discord/Telegram/CLI."
            },
            "acp_args": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Example: ['--acp', '--stdio', '--model', 'claude-opus-4-6']"
            }
          },
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "execute_code",
        "description": "Run a Python script that can call Hermes tools programmatically. Use this when you need 3+ tool calls with processing logic between them, need to filter/reduce large tool outputs before they enter your context, need conditional branching (if X then Y else Z), or need to loop (fetch N pages, process N files, retry on failure).\n\nUse normal tool calls instead when: single tool call with no processing, you need to see the full result and apply complex reasoning, or the task requires interactive user input.\n\nAvailable via `from hermes_tools import ...`:\n\n  read_file(path: str, offset: int = 1, limit: int = 500) -> dict\n    Lines are 1-indexed. Returns {\"content\": \"...\", \"total_lines\": N}\n  write_file(path: str, content: str) -> dict\n    Always overwrites the entire file.\n  search_files(pattern: str, target=\"content\", path=\".\", file_glob=None, limit=50) -> dict\n    target: \"content\" (search inside files) or \"files\" (find files by name). Returns {\"matches\": [...]}\n  patch(path: str, old_string: str, new_string: str, replace_all: bool = False) -> dict\n    Replaces old_string with new_string in the file.\n  terminal(command: str, timeout=None, workdir=None) -> dict\n    Foreground only (no background/pty). Returns {\"output\": \"...\", \"exit_code\": N}\n\nLimits: 5-minute timeout, 50KB stdout cap, max 50 tool calls per script. terminal() is foreground-only (no background or pty).\n\nPrint your final result to stdout. Use Python stdlib (json, re, math, csv, datetime, collections, etc.) for processing between tool calls.\n\nAlso available (no import needed — built into hermes_tools):\n  json_parse(text: str) — json.loads with strict=False; use for terminal() output with control chars\n  shell_quote(s: str) — shlex.quote(); use when interpolating dynamic strings into shell commands\n  retry(fn, max_attempts=3, delay=2) — retry with exponential backoff for transient failures",
        "parameters": {
          "type": "object",
          "properties": {
            "code": {
              "type": "string",
              "description": "Python code to execute. Import tools with `from hermes_tools import terminal, ...` and print your final result to stdout."
            }
          },
          "required": [
            "code"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "memory",
        "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "add",
                "replace",
                "remove"
              ],
              "description": "The action to perform."
            },
            "target": {
              "type": "string",
              "enum": [
                "memory",
                "user"
              ],
              "description": "Which memory store: 'memory' for personal notes, 'user' for user profile."
            },
            "content": {
              "type": "string",
              "description": "The entry content. Required for 'add' and 'replace'."
            },
            "old_text": {
              "type": "string",
              "description": "Short unique substring identifying the entry to replace or remove."
            }
          },
          "required": [
            "action",
            "target"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "patch",
        "description": "Targeted find-and-replace edits in files. Use this instead of sed/awk in terminal. Uses fuzzy matching (9 strategies) so minor whitespace/indentation differences won't break it. Returns a unified diff. Auto-runs syntax checks after editing.\n\nReplace mode (default): find a unique string and replace it.\nPatch mode: apply V4A multi-file patches for bulk changes.",
        "parameters": {
          "type": "object",
          "properties": {
            "mode": {
              "type": "string",
              "enum": [
                "replace",
                "patch"
              ],
              "description": "Edit mode: 'replace' for targeted find-and-replace, 'patch' for V4A multi-file patches",
              "default": "replace"
            },
            "path": {
              "type": "string",
              "description": "File path to edit (required for 'replace' mode)"
            },
            "old_string": {
              "type": "string",
              "description": "Text to find in the file (required for 'replace' mode). Must be unique in the file unless replace_all=true. Include enough surrounding context to ensure uniqueness."
            },
            "new_string": {
              "type": "string",
              "description": "Replacement text (required for 'replace' mode). Can be empty string to delete the matched text."
            },
            "replace_all": {
              "type": "boolean",
              "description": "Replace all occurrences instead of requiring a unique match (default: false)",
              "default": false
            },
            "patch": {
              "type": "string",
              "description": "V4A format patch content (required for 'patch' mode). Format:\n*** Begin Patch\n*** Update File: path/to/file\n@@ context hint @@\n context line\n-removed line\n+added line\n*** End Patch"
            }
          },
          "required": [
            "mode"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "process",
        "description": "Manage background processes started with terminal(background=true). Actions: 'list' (show all), 'poll' (check status + new output), 'log' (full output with pagination), 'wait' (block until done or timeout), 'kill' (terminate), 'write' (send raw stdin data without newline), 'submit' (send data + Enter, for answering prompts), 'close' (close stdin/send EOF).",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "list",
                "poll",
                "log",
                "wait",
                "kill",
                "write",
                "submit",
                "close"
              ],
              "description": "Action to perform on background processes"
            },
            "session_id": {
              "type": "string",
              "description": "Process session ID (from terminal background output). Required for all actions except 'list'."
            },
            "data": {
              "type": "string",
              "description": "Text to send to process stdin (for 'write' and 'submit' actions)"
            },
            "timeout": {
              "type": "integer",
              "description": "Max seconds to block for 'wait' action. Returns partial output on timeout.",
              "minimum": 1
            },
            "offset": {
              "type": "integer",
              "description": "Line offset for 'log' action (default: last 200 lines)"
            },
            "limit": {
              "type": "integer",
              "description": "Max lines to return for 'log' action",
              "minimum": 1
            }
          },
          "required": [
            "action"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "read_file",
        "description": "Read a text file with line numbers and pagination. Use this instead of cat/head/tail in terminal. Output format: 'LINE_NUM|CONTENT'. Suggests similar filenames if not found. Use offset and limit for large files. Reads exceeding ~100K characters are rejected; use offset and limit to read specific sections of large files. NOTE: Cannot read images or binary files — use vision_analyze for images.",
        "parameters": {
          "type": "object",
          "properties": {
            "path": {
              "type": "string",
              "description": "Path to the file to read (absolute, relative, or ~/path)"
            },
            "offset": {
              "type": "integer",
              "description": "Line number to start reading from (1-indexed, default: 1)",
              "default": 1,
              "minimum": 1
            },
            "limit": {
              "type": "integer",
              "description": "Maximum number of lines to read (default: 500, max: 2000)",
              "default": 500,
              "maximum": 2000
            }
          },
          "required": [
            "path"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "search_files",
        "description": "Search file contents or find files by name. Use this instead of grep/rg/find/ls in terminal. Ripgrep-backed, faster than shell equivalents.\n\nContent search (target='content'): Regex search inside files. Output modes: full matches with line numbers, file paths only, or match counts.\n\nFile search (target='files'): Find files by glob pattern (e.g., '*.py', '*config*'). Also use this instead of ls — results sorted by modification time.",
        "parameters": {
          "type": "object",
          "properties": {
            "pattern": {
              "type": "string",
              "description": "Regex pattern for content search, or glob pattern (e.g., '*.py') for file search"
            },
            "target": {
              "type": "string",
              "enum": [
                "content",
                "files"
              ],
              "description": "'content' searches inside file contents, 'files' searches for files by name",
              "default": "content"
            },
            "path": {
              "type": "string",
              "description": "Directory or file to search in (default: current working directory)",
              "default": "."
            },
            "file_glob": {
              "type": "string",
              "description": "Filter files by pattern in grep mode (e.g., '*.py' to only search Python files)"
            },
            "limit": {
              "type": "integer",
              "description": "Maximum number of results to return (default: 50)",
              "default": 50
            },
            "offset": {
              "type": "integer",
              "description": "Skip first N results for pagination (default: 0)",
              "default": 0
            },
            "output_mode": {
              "type": "string",
              "enum": [
                "content",
                "files_only",
                "count"
              ],
              "description": "Output format for grep mode: 'content' shows matching lines with line numbers, 'files_only' lists file paths, 'count' shows match counts per file",
              "default": "content"
            },
            "context": {
              "type": "integer",
              "description": "Number of context lines before and after each match (grep mode only)",
              "default": 0
            }
          },
          "required": [
            "pattern"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "session_search",
        "description": "Search your long-term memory of past conversations, or browse recent sessions. This is your recall -- every past session is searchable, and this tool summarizes what happened.\n\nTWO MODES:\n1. Recent sessions (no query): Call with no arguments to see what was worked on recently. Returns titles, previews, and timestamps. Zero LLM cost, instant. Start here when the user asks what were we working on or what did we do recently.\n2. Keyword search (with query): Search for specific topics across all past sessions. Returns LLM-generated summaries of matching sessions.\n\nUSE THIS PROACTIVELY when:\n- The user says 'we did this before', 'remember when', 'last time', 'as I mentioned'\n- The user asks about a topic you worked on before but don't have in current context\n- The user references a project, person, or concept that seems familiar but isn't in memory\n- You want to check if you've solved a similar problem before\n- The user asks 'what did we do about X?' or 'how did we fix Y?'\n\nDon't hesitate to search when it is actually cross-session -- it's fast and cheap. Better to search and confirm than to guess or ask the user to repeat themselves.\n\nSearch syntax: keywords joined with OR for broad recall (elevenlabs OR baseten OR funding), phrases for exact match (\"docker networking\"), boolean (python NOT java), prefix (deploy*). IMPORTANT: Use OR between keywords for best results — FTS5 defaults to AND which misses sessions that only mention some terms. If a broad OR query returns nothing, try individual keyword searches in parallel. Returns summaries of the top matching sessions.",
        "parameters": {
          "type": "object",
          "properties": {
            "query": {
              "type": "string",
              "description": "Search query — keywords, phrases, or boolean expressions to find in past sessions. Omit this parameter entirely to browse recent sessions instead (returns titles, previews, timestamps with no LLM cost)."
            },
            "role_filter": {
              "type": "string",
              "description": "Optional: only search messages from specific roles (comma-separated). E.g. 'user,assistant' to skip tool outputs."
            },
            "limit": {
              "type": "integer",
              "description": "Max sessions to summarize (default: 3, max: 5).",
              "default": 3
            }
          },
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skill_manage",
        "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.",
        "parameters": {
          "type": "object",
          "properties": {
            "action": {
              "type": "string",
              "enum": [
                "create",
                "patch",
                "edit",
                "delete",
                "write_file",
                "remove_file"
              ],
              "description": "The action to perform."
            },
            "name": {
              "type": "string",
              "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file."
            },
            "content": {
              "type": "string",
              "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text."
            },
            "old_string": {
              "type": "string",
              "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness."
            },
            "new_string": {
              "type": "string",
              "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text."
            },
            "replace_all": {
              "type": "boolean",
              "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)."
            },
            "category": {
              "type": "string",
              "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'."
            },
            "file_path": {
              "type": "string",
              "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted."
            },
            "file_content": {
              "type": "string",
              "description": "Content for the file. Required for 'write_file'."
            }
          },
          "required": [
            "action",
            "name"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skill_view",
        "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.",
        "parameters": {
          "type": "object",
          "properties": {
            "name": {
              "type": "string",
              "description": "The skill name (use skills_list to see available skills)"
            },
            "file_path": {
              "type": "string",
              "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content."
            }
          },
          "required": [
            "name"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "skills_list",
        "description": "List available skills (name + description). Use skill_view(name) to load full content.",
        "parameters": {
          "type": "object",
          "properties": {
            "category": {
              "type": "string",
              "description": "Optional category filter to narrow results"
            }
          },
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "terminal",
        "description": "Execute shell commands on a Linux environment. Filesystem usually persists between calls.\n\nDo NOT use cat/head/tail to read files — use read_file instead.\nDo NOT use grep/rg/find to search — use search_files instead.\nDo NOT use ls to list directories — use search_files(target='files') instead.\nDo NOT use sed/awk to edit files — use patch instead.\nDo NOT use echo/cat heredoc to create files — use write_file instead.\nReserve terminal for: builds, installs, git, processes, scripts, network, package managers, and anything that needs a shell.\n\nForeground (default): Commands return INSTANTLY when done, even if the timeout is high. Set timeout=300 for long builds/scripts — you'll still get the result in seconds if it's fast. Prefer foreground for short commands.\nBackground: Set background=true to get a session_id. Two patterns:\n  (1) Long-lived processes that never exit (servers, watchers).\n  (2) Long-running tasks with notify_on_complete=true — you can keep working on other things and the system auto-notifies you when the task finishes. Great for test suites, builds, deployments, or anything that takes more than a minute.\nUse process(action=\"poll\") for progress checks, process(action=\"wait\") to block until done.\nWorking directory: Use 'workdir' for per-command cwd.\nPTY mode: Set pty=true for interactive CLI tools (Codex, Claude Code, Python REPL).\n\nDo NOT use vim/nano/interactive tools without pty=true — they hang without a pseudo-terminal. Pipe git output to cat if it might page.\n",
        "parameters": {
          "type": "object",
          "properties": {
            "command": {
              "type": "string",
              "description": "The command to execute on the VM"
            },
            "background": {
              "type": "boolean",
              "description": "Run the command in the background. Two patterns: (1) Long-lived processes that never exit (servers, watchers). (2) Long-running tasks paired with notify_on_complete=true — you can keep working and get notified when the task finishes. For short commands, prefer foreground with a generous timeout instead.",
              "default": false
            },
            "timeout": {
              "type": "integer",
              "description": "Max seconds to wait (default: 180, foreground max: 600). Returns INSTANTLY when command finishes — set high for long tasks, you won't wait unnecessarily. Foreground timeout above 600s is rejected; use background=true for longer commands.",
              "minimum": 1
            },
            "workdir": {
              "type": "string",
              "description": "Working directory for this command (absolute path). Defaults to the session working directory."
            },
            "pty": {
              "type": "boolean",
              "description": "Run in pseudo-terminal (PTY) mode for interactive CLI tools like Codex, Claude Code, or Python REPL. Only works with local and SSH backends. Default: false.",
              "default": false
            },
            "notify_on_complete": {
              "type": "boolean",
              "description": "When true (and background=true), you'll be automatically notified when the process finishes — no polling needed. Use this for tasks that take a while (tests, builds, deployments) so you can keep working on other things in the meantime.",
              "default": false
            },
            "watch_patterns": {
              "type": "array",
              "items": {
                "type": "string"
              },
              "description": "List of strings to watch for in background process output. When any pattern matches a line of output, you'll be notified with the matching text — like notify_on_complete but triggers mid-process on specific output. Use for monitoring logs, watching for errors, or waiting for specific events (e.g. [\"ERROR\", \"FAIL\", \"listening on port\"])."
            }
          },
          "required": [
            "command"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "text_to_speech",
        "description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as a voice message. On Telegram it plays as a voice bubble, on Discord/WhatsApp as an audio attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured, not model-selected.",
        "parameters": {
          "type": "object",
          "properties": {
            "text": {
              "type": "string",
              "description": "The text to convert to speech. Keep under 4000 characters."
            },
            "output_path": {
              "type": "string",
              "description": "Optional custom file path to save the audio. Defaults to ~/.hermes/audio_cache/<timestamp>.mp3"
            }
          },
          "required": [
            "text"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "todo",
        "description": "Manage your task list for the current session. Use for complex tasks with 3+ steps or when the user provides multiple tasks. Call with no parameters to read the current list.\n\nWriting:\n- Provide 'todos' array to create/update items\n- merge=false (default): replace the entire list with a fresh plan\n- merge=true: update existing items by id, add any new ones\n\nEach item: {id: string, content: string, status: pending|in_progress|completed|cancelled}\nList order is priority. Only ONE item in_progress at a time.\nMark items completed immediately when done. If something fails, cancel it and add a revised item.\n\nAlways returns the full current list.",
        "parameters": {
          "type": "object",
          "properties": {
            "todos": {
              "type": "array",
              "description": "Task items to write. Omit to read current list.",
              "items": {
                "type": "object",
                "properties": {
                  "id": {
                    "type": "string",
                    "description": "Unique item identifier"
                  },
                  "content": {
                    "type": "string",
                    "description": "Task description"
                  },
                  "status": {
                    "type": "string",
                    "enum": [
                      "pending",
                      "in_progress",
                      "completed",
                      "cancelled"
                    ],
                    "description": "Current status"
                  }
                },
                "required": [
                  "id",
                  "content",
                  "status"
                ]
              }
            },
            "merge": {
              "type": "boolean",
              "description": "true: update existing items by id, add new ones. false (default): replace the entire list.",
              "default": false
            }
          },
          "required": []
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "vision_analyze",
        "description": "Analyze images using AI vision. Provides a comprehensive description and answers a specific question about the image content.",
        "parameters": {
          "type": "object",
          "properties": {
            "image_url": {
              "type": "string",
              "description": "Image URL (http/https) or local file path to analyze."
            },
            "question": {
              "type": "string",
              "description": "Your specific question or request about the image to resolve. The AI will automatically provide a complete image description AND answer your specific question."
            }
          },
          "required": [
            "image_url",
            "question"
          ]
        }
      }
    },
    {
      "type": "function",
      "function": {
        "name": "write_file",
        "description": "Write content to a file, completely replacing existing content. Use this instead of echo/cat heredoc in terminal. Creates parent directories automatically. OVERWRITES the entire file — use 'patch' for targeted edits.",
        "parameters": {
          "type": "object",
          "properties": {
            "path": {
              "type": "string",
              "description": "Path to the file to write (will be created if it doesn't exist, overwritten if it does)"
            },
            "content": {
              "type": "string",
              "description": "Complete content to write to the file"
            }
          },
          "required": [
            "path",
            "content"
          ]
        }
      }
    }
  ],
  "message_count": 114,
  "messages": [
    {
      "role": "user",
      "content": "为什么昨天没有推送喷嚏网总结"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe user is asking why there was no push of the 喷嚏网 (pen.tie) summary yesterday. Let me check the cron jobs to see what happened.\n</think>",
      "reasoning": "The user is asking why there was no push of the 喷嚏网 (pen.tie) summary yesterday. Let me check the cron jobs to see what happened.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_z2v4zi3odpki_1",
          "call_id": "call_function_z2v4zi3odpki_1",
          "response_item_id": "fc_function_z2v4zi3odpki_1",
          "type": "function",
          "function": {
            "name": "cronjob",
            "arguments": "{\"action\": \"list\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\n  \"success\": true,\n  \"count\": 3,\n  \"jobs\": [\n    {\n      \"job_id\": \"5063251e7794\",\n      \"name\": \"\\u55b7\\u568f\\u56fe\\u5366\\u6bcf\\u65e5\\u63a8\\u9001\",\n      \"skill\": null,\n      \"skills\": [],\n      \"prompt_preview\": \"\\u8bf7\\u5b8c\\u6210\\u4ee5\\u4e0b\\u4efb\\u52a1\\uff1a\\n\\n1. \\u8bbf\\u95ee https://www.dapenti.com/blog/index.asp\\n2. \\u67e5\\u627e\\u6700\\u65b0\\u7684\\u3010\\u55b7\\u568f\\u56fe\\u5366 XXXXX\\u3011\\u6587\\u7ae0\\u94fe\\u63a5\\uff08\\u6807\\u9898\\u683c\\u5f0f\\u4e3a\\\"\\u55b7\\u568f\\u56fe\\u5366+ \\u65e5\\u671f\\u7f16\\u53f7\\\"\\uff0c\\u67e5\\u627e...\",\n      \"model\": null,\n      \"provider\": null,\n      \"base_url\": null,\n      \"schedule\": \"30 17 * * *\",\n      \"repeat\": \"forever\",\n      \"deliver\": \"weixin:o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat\",\n      \"next_run_at\": \"2026-04-26T17:30:00+08:00\",\n      \"last_run_at\": \"2026-04-25T17:31:14.079626+08:00\",\n      \"last_status\": \"ok\",\n      \"last_delivery_error\": null,\n      \"enabled\": true,\n      \"state\": \"scheduled\",\n      \"paused_at\": null,\n      \"paused_reason\": null\n    },\n    {\n      \"job_id\": \"7e72b61ddb82\",\n      \"name\": \"FreshRSS \\u6bcf\\u65e5\\u6458\\u8981\\u63a8\\u9001\",\n      \"skill\": null,\n      \"skills\": [],\n      \"prompt_preview\": \"\\u8bf7\\u5b8c\\u6210\\u4ee5\\u4e0b\\u4efb\\u52a1\\uff1a\\n\\n1. \\u8bbf\\u95ee FreshRSS: https://rss.liupeizhi.top\\n2. \\u4f7f\\u7528\\u51ed\\u8bc1\\u767b\\u5f55\\uff08\\u7528\\u6237\\u540d\\uff1aadmin\\uff0c\\u5bc6\\u7801\\uff1aFreshRSS2026!\\uff09\\n3. \\u83b7\\u53d6\\u8fc7\\u53bb 24...\",\n      \"model\": null,\n      \"provider\": null,\n      \"base_url\": null,\n      \"schedule\": \"0 8 * * *\",\n      \"repeat\": \"forever\",\n      \"deliver\": \"weixin:o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat\",\n      \"next_run_at\": \"2026-04-18T08:00:00+08:00\",\n      \"last_run_at\": \"2026-04-17T08:12:25.671280+08:00\",\n      \"last_status\": \"ok\",\n      \"last_delivery_error\": null,\n      \"enabled\": false,\n      \"state\": \"paused\",\n      \"paused_at\": \"2026-04-17T08:44:16.636994+08:00\",\n      \"paused_reason\": null\n    },\n    {\n      \"job_id\": \"c933d9df59f5\",\n      \"name\": \"Docker \\u5b9a\\u671f\\u6e05\\u7406\",\n      \"skill\": null,\n      \"skills\": [],\n      \"prompt_preview\": \"\\u6267\\u884c Docker \\u7cfb\\u7edf\\u6e05\\u7406\\u4efb\\u52a1\\uff1a\\n1. \\u8fd0\\u884c docker system prune -a -f \\u6e05\\u7406\\u60ac\\u7a7a\\u955c\\u50cf\\u548c\\u6784\\u5efa\\u7f13\\u5b58\\n2. \\u8fd0\\u884c docker volume prune -f \\u6e05\\u7406\\u672a\\u4f7f\\u7528\\u7684\\u5377\\n3...\",\n      \"model\": null,\n      \"provider\": null,\n      \"base_url\": null,\n      \"schedule\": \"0 3 * * 0\",\n      \"repeat\": \"forever\",\n      \"deliver\": \"local\",\n      \"next_run_at\": \"2026-05-03T03:00:00+08:00\",\n      \"last_run_at\": \"2026-04-26T03:00:43.673434+08:00\",\n      \"last_status\": \"ok\",\n      \"last_delivery_error\": null,\n      \"enabled\": true,\n      \"state\": \"scheduled\",\n      \"paused_at\": null,\n      \"paused_reason\": null\n    }\n  ]\n}",
      "tool_call_id": "call_function_z2v4zi3odpki_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nLooking at the cron jobs:\n\n1. 喷嚏网每日推送 (job_id: 5063251e7794): Schedule is \"30 17 * * *\" (5:30 PM every day). Last run: 2026-04-25T17:31:14 (yesterday at 5:31 PM). Last status: \"ok\". So it ran successfully yesterday.\n\n2. FreshRSS 每日摘要推送 (job_id: 7e72b61ddb82): This was paused on 2026-04-17.\n\nWait, the user said \"昨天没有推送喷嚏网总结\" (yesterday there was no push of the pen.tie summary). Let me check:\n\n\nThe job ran at 5:31 PM yesterday with \"ok\" status, so it appears to have executed successfully. But the user is saying they didn't receive it—either the delivery to WeChat failed silently, or the task ran but didn't actually produce content.\n</think>\n喷嚏网每日推送任务（ID: `5063251e7794`）昨日17:31已运行，状态显示 `ok`。亮需查看详细执行记录，确认是否推送成功。让我检查一下：",
      "reasoning": "Looking at the cron jobs:\n\n1. 喷嚏网每日推送 (job_id: 5063251e7794): Schedule is \"30 17 * * *\" (5:30 PM every day). Last run: 2026-04-25T17:31:14 (yesterday at 5:31 PM). Last status: \"ok\". So it ran successfully yesterday.\n\n2. FreshRSS 每日摘要推送 (job_id: 7e72b61ddb82): This was paused on 2026-04-17.\n\nWait, the user said \"昨天没有推送喷嚏网总结\" (yesterday there was no push of the pen.tie summary). Let me check:\n\n\nThe job ran at 5:31 PM yesterday with \"ok\" status, so it appears to have executed successfully. But the user is saying they didn't receive it—either the delivery to WeChat failed silently, or the task ran but didn't actually produce content.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_1bcc14gqd6lv_1",
          "call_id": "call_function_1bcc14gqd6lv_1",
          "response_item_id": "fc_function_1bcc14gqd6lv_1",
          "type": "function",
          "function": {
            "name": "cronjob",
            "arguments": "{\"action\": \"run\", \"job_id\": \"5063251e7794\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\n  \"success\": true,\n  \"job\": {\n    \"job_id\": \"5063251e7794\",\n    \"name\": \"\\u55b7\\u568f\\u56fe\\u5366\\u6bcf\\u65e5\\u63a8\\u9001\",\n    \"skill\": null,\n    \"skills\": [],\n    \"prompt_preview\": \"\\u8bf7\\u5b8c\\u6210\\u4ee5\\u4e0b\\u4efb\\u52a1\\uff1a\\n\\n1. \\u8bbf\\u95ee https://www.dapenti.com/blog/index.asp\\n2. \\u67e5\\u627e\\u6700\\u65b0\\u7684\\u3010\\u55b7\\u568f\\u56fe\\u5366 XXXXX\\u3011\\u6587\\u7ae0\\u94fe\\u63a5\\uff08\\u6807\\u9898\\u683c\\u5f0f\\u4e3a\\\"\\u55b7\\u568f\\u56fe\\u5366+ \\u65e5\\u671f\\u7f16\\u53f7\\\"\\uff0c\\u67e5\\u627e...\",\n    \"model\": null,\n    \"provider\": null,\n    \"base_url\": null,\n    \"schedule\": \"30 17 * * *\",\n    \"repeat\": \"forever\",\n    \"deliver\": \"weixin:o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat\",\n    \"next_run_at\": \"2026-04-26T17:18:09.737980+08:00\",\n    \"last_run_at\": \"2026-04-25T17:31:14.079626+08:00\",\n    \"last_status\": \"ok\",\n    \"last_delivery_error\": null,\n    \"enabled\": true,\n    \"state\": \"scheduled\",\n    \"paused_at\": null,\n    \"paused_reason\": null\n  }\n}",
      "tool_call_id": "call_function_1bcc14gqd6lv_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe last_run_at was \"2026-04-25T17:31:14.079626+08:00\" and last_status was \"ok\". The cron job ran at 17:31 yesterday and completed with status \"ok\". The last_delivery_error is null.\n\nBut the user says they didn't receive the summary. The job ran, the status was ok, but was there actually a delivery error? The last_delivery_error is null which means either no error, or the error wasn't recorded.\n\nWait - the cron job's `last_delivery_error` is null. But it shows last_status \"ok\". So the cron ran successfully. Maybe the issue is with the WeChat delivery. \n\nSince this is running again in a few minutes at 17:18, I'll wait to see if it actually succeeds or if the WeChat channel is having issues delivering the message. The task completed with status ok and no delivery error recorded, yet the user didn't receive it—there's a disconnect between what the system reports and what actually happened.\n</think>\n亮查了一遍，任务昨日17:31分已触发且状态显示 `ok`，`last_delivery_error` 亦无异常。然用户言未收到，必有蹊跷。让亮先手动触发一次，确认喷嚏网内容是否能正常抓取并推送：",
      "reasoning": "The last_run_at was \"2026-04-25T17:31:14.079626+08:00\" and last_status was \"ok\". The cron job ran at 17:31 yesterday and completed with status \"ok\". The last_delivery_error is null.\n\nBut the user says they didn't receive the summary. The job ran, the status was ok, but was there actually a delivery error? The last_delivery_error is null which means either no error, or the error wasn't recorded.\n\nWait - the cron job's `last_delivery_error` is null. But it shows last_status \"ok\". So the cron ran successfully. Maybe the issue is with the WeChat delivery. \n\nSince this is running again in a few minutes at 17:18, I'll wait to see if it actually succeeds or if the WeChat channel is having issues delivering the message. The task completed with status ok and no delivery error recorded, yet the user didn't receive it—there's a disconnect between what the system reports and what actually happened.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_ud5aucwb2u16_1",
          "call_id": "call_function_ud5aucwb2u16_1",
          "response_item_id": "fc_function_ud5aucwb2u16_1",
          "type": "function",
          "function": {
            "name": "cronjob",
            "arguments": "{\"action\": \"run\", \"job_id\": \"5063251e7794\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\n  \"success\": true,\n  \"job\": {\n    \"job_id\": \"5063251e7794\",\n    \"name\": \"\\u55b7\\u568f\\u56fe\\u5366\\u6bcf\\u65e5\\u63a8\\u9001\",\n    \"skill\": null,\n    \"skills\": [],\n    \"prompt_preview\": \"\\u8bf7\\u5b8c\\u6210\\u4ee5\\u4e0b\\u4efb\\u52a1\\uff1a\\n\\n1. \\u8bbf\\u95ee https://www.dapenti.com/blog/index.asp\\n2. \\u67e5\\u627e\\u6700\\u65b0\\u7684\\u3010\\u55b7\\u568f\\u56fe\\u5366 XXXXX\\u3011\\u6587\\u7ae0\\u94fe\\u63a5\\uff08\\u6807\\u9898\\u683c\\u5f0f\\u4e3a\\\"\\u55b7\\u568f\\u56fe\\u5366+ \\u65e5\\u671f\\u7f16\\u53f7\\\"\\uff0c\\u67e5\\u627e...\",\n    \"model\": null,\n    \"provider\": null,\n    \"base_url\": null,\n    \"schedule\": \"30 17 * * *\",\n    \"repeat\": \"forever\",\n    \"deliver\": \"weixin:o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat\",\n    \"next_run_at\": \"2026-04-26T17:18:19.108318+08:00\",\n    \"last_run_at\": \"2026-04-25T17:31:14.079626+08:00\",\n    \"last_status\": \"ok\",\n    \"last_delivery_error\": null,\n    \"enabled\": true,\n    \"state\": \"scheduled\",\n    \"paused_at\": null,\n    \"paused_reason\": null\n  }\n}",
      "tool_call_id": "call_function_ud5aucwb2u16_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nHmm, the manual run isn't actually triggering the task - it's just returning the job info. The cron job run needs to be triggered asynchronously. Let me check the cron output directory to see if there are any logs from yesterday's run.\n</think>",
      "reasoning": "Hmm, the manual run isn't actually triggering the task - it's just returning the job info. The cron job run needs to be triggered asynchronously. Let me check the cron output directory to see if there are any logs from yesterday's run.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_9g8nrcbg1mz2_1",
          "call_id": "call_function_9g8nrcbg1mz2_1",
          "response_item_id": "fc_function_9g8nrcbg1mz2_1",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"pattern\": \"5063251e7794\", \"target\": \"content\", \"path\": \"/root/.hermes/cron\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"total_count\": 0}",
      "tool_call_id": "call_function_9g8nrcbg1mz2_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nLet me look for the cron output directory.\n</think>",
      "reasoning": "Let me look for the cron output directory.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_fqcq11uqacrm_1",
          "call_id": "call_function_fqcq11uqacrm_1",
          "response_item_id": "fc_function_fqcq11uqacrm_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"ls /root/.hermes/cron/output/ 2>/dev/null | head -20\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"5063251e7794\\n7e72b61ddb82\\na5fda862f689\\nc933d9df59f5\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_fqcq11uqacrm_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nGood, there are output files. Let me check the output for job 5063251e7794 (喷嚏网).\n</think>",
      "reasoning": "Good, there are output files. Let me check the output for job 5063251e7794 (喷嚏网).",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_jck88abi0aeu_1",
          "call_id": "call_function_jck88abi0aeu_1",
          "response_item_id": "fc_function_jck88abi0aeu_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"ls -la /root/.hermes/cron/output/5063251e7794/ | tail -5\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"-rw------- 1 root root 1978 Apr 24 17:34 2026-04-24_17-34-32.md\\n-rw------- 1 root root 1927 Apr 24 17:42 2026-04-24_17-42-05.md\\n-rw------- 1 root root 1875 Apr 24 17:49 2026-04-24_17-49-31.md\\n-rw------- 1 root root 2149 Apr 24 18:20 2026-04-24_18-20-30.md\\n-rw------- 1 root root 2200 Apr 25 17:31 2026-04-25_17-31-13.md\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_jck88abi0aeu_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThere is an output file from yesterday at 17:31. Let me check its content to see what happened.\n</think>\n昨日17:31确有执行记录，内容如下：",
      "reasoning": "There is an output file from yesterday at 17:31. Let me check its content to see what happened.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_pygdwymm6z7x_1",
          "call_id": "call_function_pygdwymm6z7x_1",
          "response_item_id": "fc_function_pygdwymm6z7x_1",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"path\": \"/root/.hermes/cron/output/5063251e7794/2026-04-25_17-31-13.md\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"content\": \"     1|# Cron Job: 喷嚏图卦每日推送\\n     2|\\n     3|**Job ID:** 5063251e7794\\n     4|**Run Time:** 2026-04-25 17:31:13\\n     5|**Schedule:** 30 17 * * *\\n     6|\\n     7|## Prompt\\n     8|\\n     9|[SYSTEM: You are running as a scheduled cron job. DELIVERY: Your final response will be automatically delivered to the user — do NOT use send_message or try to deliver the output yourself. Just produce your report/output as your final response and the system handles the rest. SILENT: If there is genuinely nothing new to report, respond with exactly \\\"[SILENT]\\\" (nothing else) to suppress delivery. Never combine [SILENT] with content — either report your findings normally, or say [SILENT] and nothing more.]\\n    10|\\n    11|请完成以下任务：\\n    12|\\n    13|1. 访问 https://www.dapenti.com/blog/index.asp\\n    14|2. 查找最新的【喷嚏图卦 XXXXX】文章链接（标题格式为\\\"喷嚏图卦+ 日期编号\\\"，查找最新的那一期）\\n    15|3. 提取文章内容（标题 + 热点图片描述 + 简短评论）\\n    16|4. 生成简洁有趣的中文摘要\\n    17|\\n    18|📝 输出格式要求：\\n    19|• 标题：【📮 喷嚏图卦】日期\\n    20|• 内容：2-4条，每条50字以内\\n    21|• 风格：轻松幽默，使用适量😊🔥💬等emoji点缀\\n    22|• 结尾：#喷嚏图卦\\n    23|\\n    24|⚠️ 注意事项：\\n    25|• 不要过度使用emoji，每条1-2个即可\\n    26|• 保持内容简洁，适合微信阅读\\n    27|• 提取核心热点和有趣观点\\n    28|• 直接输出内容，不需要额外说明\\n    29|\\n    30|## Response\\n    31|\\n    32|【📮 喷嚏图卦】20260425\\n    33|\\n    34|1️⃣ 有人走私尿素钾肥，国内2000元/吨，国外七八千，这利润比稀土还野 🔥\\n    35|\\n    36|2️⃣ \\\"流浪乞讨人员\\\"拟改名为\\\"流散人员\\\"，网友建议直接叫diaspora——大流散，失去祖国的人 😶\\n    37|\\n    38|3️⃣ 花呗、白条、月付集体调整，信用付圈要变天了？ 💳\\n    39|\\n    40|4️⃣ 中国空间站要迎来首位老外航天员了——两位巴基斯坦小哥入选 �巴基斯坦🚀\\n    41|\\n    42|5️⃣ 特朗普邀请普京出席G20，美参院却有人呼吁继续打伊朗，这剧本有点乱 🧩\\n    43|\\n    44|6️⃣ 乌克兰终于要收到欧盟900亿贷款中第一笔60亿军援了，但这钱怎么花欧盟盯着呢 👀\\n    45|\\n    46|7️⃣ 银河系两张照，国际空间站拍的vs阿尔忒弥斯2号拍的，角度不同画风也不同 🌌\\n    47|\\n    48|#喷嚏图卦\\n    49|\", \"total_lines\": 48, \"file_size\": 2200, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_function_pygdwymm6z7x_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe cron job ran successfully and produced output. The content looks good. But the user says they didn't receive it. The delivery target is `weixin:o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat`. Let me check if there's any delivery error.\n\nLooking at the cron job info again:\n- last_status: \"ok\"\n- last_delivery_error: null\n\nSo it says the delivery was ok. But the user says they didn't receive it. Let me check the WeChat connection status.\n\nActually, I think the issue might be that the WeChat gateway wasn't running or there was a temporary issue. The cron ran and produced content, but the delivery to WeChat might have silently failed.\n \nOr maybe the gateway was down at that time and the message was queued but never actually delivered. Let me check the gateway status to see what's happening.\n</think>\n任务昨日17:31执行成功，内容已生成，然主公言未收到。让亮检查一下 WeChat 投递情况：",
      "reasoning": "The cron job ran successfully and produced output. The content looks good. But the user says they didn't receive it. The delivery target is `weixin:o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat`. Let me check if there's any delivery error.\n\nLooking at the cron job info again:\n- last_status: \"ok\"\n- last_delivery_error: null\n\nSo it says the delivery was ok. But the user says they didn't receive it. Let me check the WeChat connection status.\n\nActually, I think the issue might be that the WeChat gateway wasn't running or there was a temporary issue. The cron ran and produced content, but the delivery to WeChat might have silently failed.\n \nOr maybe the gateway was down at that time and the message was queued but never actually delivered. Let me check the gateway status to see what's happening.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_s9snuzjmftoa_1",
          "call_id": "call_function_s9snuzjmftoa_1",
          "response_item_id": "fc_function_s9snuzjmftoa_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"grep -i \\\"weixin\\\\|o9cq801\\\" /root/.hermes/logs/gateway.log 2>/dev/null | tail -20\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_s9snuzjmftoa_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nNo gateway log found at that location. Let me look for logs more broadly.\n</think>",
      "reasoning": "No gateway log found at that location. Let me look for logs more broadly.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_drpb6qwxiwln_1",
          "call_id": "call_function_drpb6qwxiwln_1",
          "response_item_id": "fc_function_drpb6qwxiwln_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"find /root/.hermes/logs -name \\\"*.log\\\" 2>/dev/null | head -10 && ls /root/.hermes/logs/ 2>/dev/null\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"/root/.hermes/logs/agent.log\\n/root/.hermes/logs/errors.log\\nagent.log\\nerrors.log\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_drpb6qwxiwln_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nLet me check if the WeChat gateway was running at the time of the cron job. Let me also check for any recent errors.\n</think>",
      "reasoning": "Let me check if the WeChat gateway was running at the time of the cron job. Let me also check for any recent errors.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_83z4xa89pywo_1",
          "call_id": "call_function_83z4xa89pywo_1",
          "response_item_id": "fc_function_83z4xa89pywo_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"grep -i \\\"weixin\\\\|delivery\\\\|send.*fail\\\\|error.*wechat\\\\|o9cq801\\\" /root/.hermes/logs/errors.log 2>/dev/null | tail -20\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"[Command interrupted]\", \"exit_code\": 130, \"error\": null}",
      "tool_call_id": "call_function_83z4xa89pywo_1"
    },
    {
      "role": "user",
      "content": "推送到个人微信聊天通道"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe user wants to know why the push didn't go through to their WeChat personal chat. They mentioned \"推送到个人微信聊天通道\" - pushing to the personal WeChat chat channel. \n\nLooking at the cron job config, the delivery is set to `weixin:o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat`. But maybe there's an issue with how the WeChat channel handles delivery.\n\nLet me check the gateway log for delivery errors.\n</think>",
      "reasoning": "The user wants to know why the push didn't go through to their WeChat personal chat. They mentioned \"推送到个人微信聊天通道\" - pushing to the personal WeChat chat channel. \n\nLooking at the cron job config, the delivery is set to `weixin:o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat`. But maybe there's an issue with how the WeChat channel handles delivery.\n\nLet me check the gateway log for delivery errors.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_g30ukd1052wz_1",
          "call_id": "call_function_g30ukd1052wz_1",
          "response_item_id": "fc_function_g30ukd1052wz_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"tail -100 /root/.hermes/logs/errors.log 2>/dev/null | grep -i \\\"weixin\\\\|wechat\\\\|delivery\\\\|send\\\\|fail\\\\|error\\\" | tail -20\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"2026-04-17 11:51:36,630 WARNING gateway.platforms.base: [Weixin] Error sending media: WeixinAdapter.send_image_file() got an unexpected keyword argument 'image_path'\\n2026-04-17 12:04:36,469 WARNING gateway.platforms.base: [Weixin] Error sending media: WeixinAdapter.send_image_file() got an unexpected keyword argument 'image_path'\\n2026-04-17 12:07:47,076 WARNING gateway.platforms.base: [Weixin] Error sending media: WeixinAdapter.send_image_file() got an unexpected keyword argument 'image_path'\\n2026-04-17 12:08:54,113 WARNING gateway.platforms.base: [Weixin] Error sending media: WeixinAdapter.send_image_file() got an unexpected keyword argument 'image_path'\\n2026-04-17 12:35:13,099 WARNING gateway.platforms.base: [Weixin] Error sending media: WeixinAdapter.send_image_file() got an unexpected keyword argument 'image_path'\\n2026-04-23 14:08:28,578 WARNING gateway.run: Unrecognized slash command /tts from weixin — replying with unknown-command notice\\n2026-04-23 16:55:40,988 ERROR [20260423_165539_2b8c83] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authorized_error', 'message': 'invalid api key (2049)', 'http_code': '401'}, 'request_id': '0639118c40288e60e72d3c581cc16ccd'}\\n2026-04-23 17:37:39,795 ERROR [20260423_173738_cbbcc1] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authorized_error', 'message': 'invalid api key (2049)', 'http_code': '401'}, 'request_id': '06391b638b2286a37941ae5b5ac498bf'}\\n2026-04-24 17:10:11,364 ERROR [20260424_170026_9c5f5c] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid api key'}, 'request_id': '063a6673988ed2b2b9d15aadba78ecab'}\\n2026-04-24 17:10:24,819 ERROR [20260424_170026_9c5f5c] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid api key'}, 'request_id': '063a6680695fa1b8d705f6d74fad9fcd'}\\n2026-04-24 17:13:15,435 ERROR [20260424_170026_9c5f5c] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid api key'}, 'request_id': '063a672b6985b4f6f10783d968ca3797'}\\n2026-04-24 17:14:50,419 ERROR [20260424_170026_9c5f5c] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid api key'}, 'request_id': '063a678ac99baa2d004389a03a4e0a97'}\\n2026-04-24 17:18:54,470 ERROR [20260424_171845_07c94c] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid api key'}, 'request_id': '063a687ef679a5a8bd083b797eefbf07'}\\n2026-04-24 17:20:54,717 ERROR [20260424_171845_07c94c] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid api key'}, 'request_id': '063a68f62b16cf69639e636da9ca87b1'}\\n2026-04-24 17:25:24,038 ERROR [20260424_170026_9c5f5c] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid api key'}, 'request_id': '063a6a03a1c8834a8f09d6d88f455597'}\\n2026-04-24 17:26:58,356 ERROR [20260424_170026_9c5f5c] root: Non-retryable client error: Error code: 401 - {'error': {'message': 'No cookie auth credentials found', 'code': 401}}\\n2026-04-24 17:52:41,870 ERROR asyncio: unhandled exception during asyncio.run() shutdown\\ntask: <Task finished name='Task-1' coro=<Application.run_async() done, defined at /root/.hermes/hermes-agent/venv/lib64/python3.11/site-packages/prompt_toolkit/application/application.py:620> exception=OSError(5, 'Input/output error')>\\nasyncio.exceptions.CancelledError\\nOSError: [Errno 5] Input/output error\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_g30ukd1052wz_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nI see some errors but nothing specifically about WeChat delivery failure on April 25th. Let me check the agent.log for April 25th entries related to the WeChat push.\n\nActually, looking at the problem more carefully - the cron job says delivery was \"ok\" but the user didn't receive it. The delivery error field is null. So maybe the cron job ran successfully but the WeChat delivery silently failed without logging an error.\n\nLet me check the cron output file more carefully - it was a text/markdown file being delivered to WeChat. Perhaps the issue is that WeChat doesn't support markdown formatting well, or there's an issue with how the gateway delivers markdown to WeChat.\n \nThe user might be receiving the content but it's not rendering properly, or it could be getting blocked entirely. Let me manually test the WeChat channel to see what's actually happening.\n</think>\n亮查了日志，未发现昨日WeChat投递报错。`last_status: ok` 且 `last_delivery_error: null`，说明任务系统认为已送达。让亮直接测试一下微信通道是否通畅：",
      "reasoning": "I see some errors but nothing specifically about WeChat delivery failure on April 25th. Let me check the agent.log for April 25th entries related to the WeChat push.\n\nActually, looking at the problem more carefully - the cron job says delivery was \"ok\" but the user didn't receive it. The delivery error field is null. So maybe the cron job ran successfully but the WeChat delivery silently failed without logging an error.\n\nLet me check the cron output file more carefully - it was a text/markdown file being delivered to WeChat. Perhaps the issue is that WeChat doesn't support markdown formatting well, or there's an issue with how the gateway delivers markdown to WeChat.\n \nThe user might be receiving the content but it's not rendering properly, or it could be getting blocked entirely. Let me manually test the WeChat channel to see what's actually happening.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_cs66ncs88x19_1",
          "call_id": "call_function_cs66ncs88x19_1",
          "response_item_id": "fc_function_cs66ncs88x19_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"cd /root/.hermes && source hermes-agent/venv/bin/activate && python -c \\\"\\nfrom gateway.platforms.weixin import WeixinAdapter\\nfrom gateway.session import SessionStore\\nimport asyncio\\n\\nasync def test():\\n    store = SessionStore()\\n    sessions = store.get_all_sessions()\\n    for s in sessions:\\n        print(s.get('platform'), s.get('chat_id'), s.get('username'))\\n    \\nasyncio.run(test())\\n\\\" 2>&1 | head -20\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"Traceback (most recent call last):\\n  File \\\"<string>\\\", line 12, in <module>\\n  File \\\"/usr/lib64/python3.11/asyncio/runners.py\\\", line 190, in run\\n    return runner.run(main)\\n           ^^^^^^^^^^^^^^^^\\n  File \\\"/usr/lib64/python3.11/asyncio/runners.py\\\", line 118, in run\\n    return self._loop.run_until_complete(task)\\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\\n  File \\\"/usr/lib64/python3.11/asyncio/base_events.py\\\", line 653, in run_until_complete\\n    return future.result()\\n           ^^^^^^^^^^^^^^^\\n  File \\\"<string>\\\", line 7, in test\\nTypeError: SessionStore.__init__() missing 2 required positional arguments: 'sessions_dir' and 'config'\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_cs66ncs88x19_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nLet me try a different approach to check if the WeChat channel is working. Let me look at the gateway log during the time the cron job ran on April 25th to see what happened.\n\nActually, looking at the issue from a different angle - the user said \"为什么昨天没有推送喷嚏网总结\" - they didn't receive it. The cron job says it delivered \"ok\". \n\nLet me check the cron output file for April 25 - it was a markdown file. The delivery system may have tried to send it as a markdown file to WeChat, but WeChat doesn't render markdown natively. \n\nThe content would just show as plain text with markdown formatting codes. Though actually, that wouldn't explain why they didn't receive anything at all. Let me check if the delivery actually went through on April 25th around 17:31.\n</think>",
      "reasoning": "Let me try a different approach to check if the WeChat channel is working. Let me look at the gateway log during the time the cron job ran on April 25th to see what happened.\n\nActually, looking at the issue from a different angle - the user said \"为什么昨天没有推送喷嚏网总结\" - they didn't receive it. The cron job says it delivered \"ok\". \n\nLet me check the cron output file for April 25 - it was a markdown file. The delivery system may have tried to send it as a markdown file to WeChat, but WeChat doesn't render markdown natively. \n\nThe content would just show as plain text with markdown formatting codes. Though actually, that wouldn't explain why they didn't receive anything at all. Let me check if the delivery actually went through on April 25th around 17:31.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_dtis3ptod1m3_1",
          "call_id": "call_function_dtis3ptod1m3_1",
          "response_item_id": "fc_function_dtis3ptod1m3_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"grep -r \\\"Apr 25\\\\|2026-04-25\\\" /root/.hermes/logs/ 2>/dev/null | grep -i \\\"weixin\\\\|wechat\\\\|delivery\\\\|send\\\" | tail -20\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"/root/.hermes/logs/agent.log:2026-04-25 04:00:43,308 INFO gateway.run: Session expiry: 1 sessions to flush (weixin:1)\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_dtis3ptod1m3_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe logs only show one WeChat-related entry on April 25th at 04:00:43. There's no log entry about the cron job delivery at 17:31. This suggests that while the cron job agent ran successfully and generated the content, the actual delivery to WeChat may not have happened, or it happened without a log entry.\n\nLet me look at this more carefully. The cron job's last_status is \"ok\" and delivery was to \"weixin:o9cq801...\". But there are no logs suggesting the gateway actually tried to send to WeChat at 17:31 on April 25th.\n\nThis could mean:\n\n\n1. The delivery system marked it as ok without actually delivering\n2. The WeChat gateway was down at that time\n3. There's a bug where the delivery status is incorrectly marked as ok\n\nI should check when the WeChat adapter was last active to understand the timeline better.\n</think>",
      "reasoning": "The logs only show one WeChat-related entry on April 25th at 04:00:43. There's no log entry about the cron job delivery at 17:31. This suggests that while the cron job agent ran successfully and generated the content, the actual delivery to WeChat may not have happened, or it happened without a log entry.\n\nLet me look at this more carefully. The cron job's last_status is \"ok\" and delivery was to \"weixin:o9cq801...\". But there are no logs suggesting the gateway actually tried to send to WeChat at 17:31 on April 25th.\n\nThis could mean:\n\n\n1. The delivery system marked it as ok without actually delivering\n2. The WeChat gateway was down at that time\n3. There's a bug where the delivery status is incorrectly marked as ok\n\nI should check when the WeChat adapter was last active to understand the timeline better.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_9h8n0z9cj8oe_1",
          "call_id": "call_function_9h8n0z9cj8oe_1",
          "response_item_id": "fc_function_9h8n0z9cj8oe_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"grep -i \\\"weixin\\\" /root/.hermes/logs/agent.log 2>/dev/null | grep \\\"2026-04-25\\\" | tail -10\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"2026-04-25 04:00:43,308 INFO gateway.run: Session expiry: 1 sessions to flush (weixin:1)\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_9h8n0z9cj8oe_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThere's only one WeChat-related log entry on April 25th (at 04:00:43, session expiry), which means the gateway was running but there was no actual message delivery logged around 17:31.\n\nLet me check if the gateway was running at all on April 25th. The fact that the cron job says \"ok\" but there's no delivery log is suspicious. Let me check the gateway process and see if there are any signs it was operational.\n\nActually, let me think about this differently. The cron job's delivery mechanism might work differently from a manual send through the gateway. When the cron job delivers, it might use a different code path. Let me check the cron scheduler logs.\n</think>",
      "reasoning": "There's only one WeChat-related log entry on April 25th (at 04:00:43, session expiry), which means the gateway was running but there was no actual message delivery logged around 17:31.\n\nLet me check if the gateway was running at all on April 25th. The fact that the cron job says \"ok\" but there's no delivery log is suspicious. Let me check the gateway process and see if there are any signs it was operational.\n\nActually, let me think about this differently. The cron job's delivery mechanism might work differently from a manual send through the gateway. When the cron job delivers, it might use a different code path. Let me check the cron scheduler logs.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_96xicwcvdh4d_1",
          "call_id": "call_function_96xicwcvdh4d_1",
          "response_item_id": "fc_function_96xicwcvdh4d_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"grep -r \\\"2026-04-25 17\\\" /root/.hermes/logs/ 2>/dev/null | head -20\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"/root/.hermes/logs/agent.log:2026-04-25 17:30:11,406 INFO agent.auxiliary_client: Vision auto-detect: using active provider minimax (minimax-m2.7)\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_96xicwcvdh4d_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe only log entry around 17:30 on April 25th is from the auxiliary client (Vision auto-detect), not from any WeChat delivery. This is very suspicious - the cron job says it ran at 17:31 and delivered \"ok\", but there are no logs suggesting any WeChat delivery attempt.\n\nLet me check if there's a separate cron runner log.\n</think>",
      "reasoning": "The only log entry around 17:30 on April 25th is from the auxiliary client (Vision auto-detect), not from any WeChat delivery. This is very suspicious - the cron job says it ran at 17:31 and delivered \"ok\", but there are no logs suggesting any WeChat delivery attempt.\n\nLet me check if there's a separate cron runner log.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_soa17dfhfblk_1",
          "call_id": "call_function_soa17dfhfblk_1",
          "response_item_id": "fc_function_soa17dfhfblk_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"grep -r \\\"cron\\\\|scheduler\\\\|delivery\\\" /root/.hermes/logs/ 2>/dev/null | grep \\\"2026-04-25 17\\\" | head -20\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_soa17dfhfblk_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nNo cron or delivery logs around 17:30 on April 25th. This is strange - the cron job says it ran and delivered \"ok\", but there are no logs.\n\nLet me look at the cron output file more carefully and check what happens when the content is delivered. The issue might be that the WeChat channel doesn't support markdown content in the way it's being sent, or there's a silent failure.\n\nActually, let me re-examine the problem from a different angle. The cron job output file from April 25th at 17:31 contains the generated summary. The delivery field says \"weixin:o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat\". Maybe the issue is that the content was sent as a file (the .md file) instead of as text content, and WeChat doesn't render .md files nicely or the adapter has issues with file delivery.\n \nThe file got created but nothing actually got delivered to WeChat - either the delivery mechanism silently failed or the gateway wasn't even running at that time. I should verify the gateway's operational status.\n</think>",
      "reasoning": "No cron or delivery logs around 17:30 on April 25th. This is strange - the cron job says it ran and delivered \"ok\", but there are no logs.\n\nLet me look at the cron output file more carefully and check what happens when the content is delivered. The issue might be that the WeChat channel doesn't support markdown content in the way it's being sent, or there's a silent failure.\n\nActually, let me re-examine the problem from a different angle. The cron job output file from April 25th at 17:31 contains the generated summary. The delivery field says \"weixin:o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat\". Maybe the issue is that the content was sent as a file (the .md file) instead of as text content, and WeChat doesn't render .md files nicely or the adapter has issues with file delivery.\n \nThe file got created but nothing actually got delivered to WeChat - either the delivery mechanism silently failed or the gateway wasn't even running at that time. I should verify the gateway's operational status.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_n2tg5gbbllk2_1",
          "call_id": "call_function_n2tg5gbbllk2_1",
          "response_item_id": "fc_function_n2tg5gbbllk2_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"ps aux | grep -i \\\"hermes\\\\|gateway\\\" | grep -v grep | head -10\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"root     2947207  0.3 18.3 22824280 369548 ?     Sl   Apr01 133:56 openclaw-gateway\\nroot     3217595  0.0  7.7 824196 156716 ?       Ssl  Apr24   1:42 /root/.hermes/hermes-agent/venv/bin/python -m hermes_cli.main gateway run --replace\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_n2tg5gbbllk2_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe gateway is running. Both `openclaw-gateway` and `hermes_cli gateway run` are active. The hermes-cli gateway started on Apr 24. So the gateway was running on April 25th.\n\nLet me check what happened during the cron job delivery attempt. The fact that there's no delivery log is very suspicious. Let me look at the agent.log file size and see if there are other logs.\n</think>\n<think>\nThe gateway is running. Both `openclaw-gateway` and `hermes_cli gateway run` are active. The hermes-cli gateway started on Apr 24. So the gateway was running on April 25th.\n\nLet me check what happened during the cron job delivery attempt. The fact that there's no delivery log is very suspicious. Let me look at the agent.log file size and see if there are other logs.\n</think>",
      "reasoning": "The gateway is running. Both `openclaw-gateway` and `hermes_cli gateway run` are active. The hermes-cli gateway started on Apr 24. So the gateway was running on April 25th.\n\nLet me check what happened during the cron job delivery attempt. The fact that there's no delivery log is very suspicious. Let me look at the agent.log file size and see if there are other logs.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_b05ftn3at3bt_1",
          "call_id": "call_function_b05ftn3at3bt_1",
          "response_item_id": "fc_function_b05ftn3at3bt_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"ls -la /root/.hermes/logs/agent.log && wc -l /root/.hermes/logs/agent.log\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"-rw-r--r-- 1 root root 149542 Apr 26 17:18 /root/.hermes/logs/agent.log\\n1089 /root/.hermes/logs/agent.log\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_b05ftn3at3bt_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe agent.log has 1089 lines and was last modified today (April 26) at 17:18. But it's only 149KB which isn't that big. Let me search for any delivery-related entries more carefully. Maybe the delivery happens through a different mechanism that doesn't log to agent.log.\n\nActually, let me think about this differently. The cron job's `last_status: ok` and `last_delivery_error: null` might be misleading. The status \"ok\" could mean the cron job agent finished without errors, but the delivery to WeChat might have failed silently. The delivery error would only be set if the delivery itself returned an error.\n\nLet me check if there's a way to see the actual delivery result. Maybe I should try to manually trigger a WeChat message to test if the channel works.\n\nBut actually, the user is saying they didn't receive the push yesterday. The cron job says it delivered. Let me just try to manually send a test to WeChat to verify the channel works, and then we can reschedule the push if needed.\n\nWait - let me re-read the problem. The user said \"为什么昨天没有推送喷嚏网总结\". Maybe the issue is that they didn't receive ANY push. Let me check if the FreshRSS daily digest was also not delivered, or just the 喷嚏网.\n\nActually, looking at the cron jobs, the FreshRSS digest is paused. So only the 喷嚏网 should have been running. And it ran at 17:31 on April 25th.\n\nLet me think about this... The delivery says `weixin:o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat`. This is the correct WeChat channel. But maybe the issue is that the content (markdown) isn't being parsed correctly for WeChat, or the delivery mechanism is broken somehow.\n\nI should test the WeChat channel by sending a test message to see if it actually works.\n</think>\n亮有一事不明：日志中17:30-17:35时段无任何投递记录，cron job却报 `ok`。这说明任务系统认为完成，但实际推送未成功。让亮测试一下微信通道是否正常：",
      "reasoning": "The agent.log has 1089 lines and was last modified today (April 26) at 17:18. But it's only 149KB which isn't that big. Let me search for any delivery-related entries more carefully. Maybe the delivery happens through a different mechanism that doesn't log to agent.log.\n\nActually, let me think about this differently. The cron job's `last_status: ok` and `last_delivery_error: null` might be misleading. The status \"ok\" could mean the cron job agent finished without errors, but the delivery to WeChat might have failed silently. The delivery error would only be set if the delivery itself returned an error.\n\nLet me check if there's a way to see the actual delivery result. Maybe I should try to manually trigger a WeChat message to test if the channel works.\n\nBut actually, the user is saying they didn't receive the push yesterday. The cron job says it delivered. Let me just try to manually send a test to WeChat to verify the channel works, and then we can reschedule the push if needed.\n\nWait - let me re-read the problem. The user said \"为什么昨天没有推送喷嚏网总结\". Maybe the issue is that they didn't receive ANY push. Let me check if the FreshRSS daily digest was also not delivered, or just the 喷嚏网.\n\nActually, looking at the cron jobs, the FreshRSS digest is paused. So only the 喷嚏网 should have been running. And it ran at 17:31 on April 25th.\n\nLet me think about this... The delivery says `weixin:o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat`. This is the correct WeChat channel. But maybe the issue is that the content (markdown) isn't being parsed correctly for WeChat, or the delivery mechanism is broken somehow.\n\nI should test the WeChat channel by sending a test message to see if it actually works.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_puh6ywn31zwm_1",
          "call_id": "call_function_puh6ywn31zwm_1",
          "response_item_id": "fc_function_puh6ywn31zwm_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"curl -s -X POST http://localhost:6666/send -H \\\"Content-Type: application/json\\\" -d '{\\\"chat_id\\\": \\\"o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat\\\", \\\"text\\\": \\\"测试：喷嚏网推送通道检测中...\\\"}' 2>&1\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"\", \"exit_code\": 7, \"error\": null, \"exit_code_meaning\": \"Failed to connect to host\"}",
      "tool_call_id": "call_function_puh6ywn31zwm_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe HTTP server on port 6666 is not running or not accessible. Let me try to check if the WeChat channel is working through the gateway directly.Actually, let me try a different approach. Let me see if there's a send_message tool or something similar that I can use to test the WeChat channel.\n\nWait, I don't have a direct send_message tool available. Let me check what tools I have... I have `terminal` and other tools but not a direct send_message tool.\n\nLet me think about this more carefully. The issue is:1. Cron job ran at 17:31 on April 25\n2. It generated the content successfully\n3. It reported `ok` status but there's no delivery log4. User didn't receive it\n\n\n5. The WeChat adapter might not support markdown, so when the cron job tries to deliver the .md file as a file attachment, it could be silently failing without proper error handling. Let me check how the WeChat adapter handles file deliveries.\n</think>",
      "reasoning": "The HTTP server on port 6666 is not running or not accessible. Let me try to check if the WeChat channel is working through the gateway directly.Actually, let me try a different approach. Let me see if there's a send_message tool or something similar that I can use to test the WeChat channel.\n\nWait, I don't have a direct send_message tool available. Let me check what tools I have... I have `terminal` and other tools but not a direct send_message tool.\n\nLet me think about this more carefully. The issue is:1. Cron job ran at 17:31 on April 25\n2. It generated the content successfully\n3. It reported `ok` status but there's no delivery log4. User didn't receive it\n\n\n5. The WeChat adapter might not support markdown, so when the cron job tries to deliver the .md file as a file attachment, it could be silently failing without proper error handling. Let me check how the WeChat adapter handles file deliveries.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_m67l5l7r07em_1",
          "call_id": "call_function_m67l5l7r07em_1",
          "response_item_id": "fc_function_m67l5l7r07em_1",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"pattern\": \"send.*markdown\\\\|md.*weixin\\\\|weixin.*file\", \"path\": \"/root/.hermes/hermes-agent\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"total_count\": 0}",
      "tool_call_id": "call_function_m67l5l7r07em_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nLet me check the WeChat adapter code to understand how it sends content.\n</think>",
      "reasoning": "Let me check the WeChat adapter code to understand how it sends content.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_h340g8t4jota_1",
          "call_id": "call_function_h340g8t4jota_1",
          "response_item_id": "fc_function_h340g8t4jota_1",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\", \"pattern\": \"def send\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"total_count\": 8, \"matches\": [{\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\", \"line\": 1452, \"content\": \"    async def send(\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\", \"line\": 1481, \"content\": \"    async def send_typing(self, chat_id: str, metadata: Optional[Dict[str, Any]] = None) -> None:\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\", \"line\": 1517, \"content\": \"    async def send_image(\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\", \"line\": 1542, \"content\": \"    async def send_image_file(\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\", \"line\": 1552, \"content\": \"    async def send_document(\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\", \"line\": 1568, \"content\": \"    async def send_video(\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\", \"line\": 1585, \"content\": \"    async def send_voice(\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\", \"line\": 1761, \"content\": \"async def send_weixin_direct(\"}]}",
      "tool_call_id": "call_function_h340g8t4jota_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nLet me check the `send` method to see what it does with text content.\n</think>",
      "reasoning": "Let me check the `send` method to see what it does with text content.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_bkhgx2iki2h8_1",
          "call_id": "call_function_bkhgx2iki2h8_1",
          "response_item_id": "fc_function_bkhgx2iki2h8_1",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\", \"offset\": 1452, \"limit\": 50}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"content\": \"  1452|    async def send(\\n  1453|        self,\\n  1454|        chat_id: str,\\n  1455|        content: str,\\n  1456|        reply_to: Optional[str] = None,\\n  1457|        metadata: Optional[Dict[str, Any]] = None,\\n  1458|    ) -> SendResult:\\n  1459|        if not self._session or not self._token:\\n  1460|            return SendResult(success=False, error=\\\"Not connected\\\")\\n  1461|        context_token = self._token_store.get(self._account_id, chat_id)\\n  1462|        last_message_id: Optional[str] = None\\n  1463|        try:\\n  1464|            chunks = [c for c in self._split_text(self.format_message(content)) if c and c.strip()]\\n  1465|            for idx, chunk in enumerate(chunks):\\n  1466|                client_id = f\\\"hermes-weixin-{uuid.uuid4().hex}\\\"\\n  1467|                await self._send_text_chunk(\\n  1468|                    chat_id=chat_id,\\n  1469|                    chunk=chunk,\\n  1470|                    context_token=context_token,\\n  1471|                    client_id=client_id,\\n  1472|                )\\n  1473|                last_message_id = client_id\\n  1474|                if idx < len(chunks) - 1 and self._send_chunk_delay_seconds > 0:\\n  1475|                    await asyncio.sleep(self._send_chunk_delay_seconds)\\n  1476|            return SendResult(success=True, message_id=last_message_id)\\n  1477|        except Exception as exc:\\n  1478|            logger.error(\\\"[%s] send failed to=%s: %s\\\", self.name, _safe_id(chat_id), exc)\\n  1479|            return SendResult(success=False, error=str(exc))\\n  1480|\\n  1481|    async def send_typing(self, chat_id: str, metadata: Optional[Dict[str, Any]] = None) -> None:\\n  1482|        if not self._session or not self._token:\\n  1483|            return\\n  1484|        typing_ticket = self._typing_cache.get(chat_id)\\n  1485|        if not typing_ticket:\\n  1486|            return\\n  1487|        try:\\n  1488|            await _send_typing(\\n  1489|                self._session,\\n  1490|                base_url=self._base_url,\\n  1491|                token=self._token,\\n  1492|                to_user_id=chat_id,\\n  1493|                typing_ticket=typing_ticket,\\n  1494|                status=TYPING_START,\\n  1495|            )\\n  1496|        except Exception as exc:\\n  1497|            logger.debug(\\\"[%s] typing start failed for %s: %s\\\", self.name, _safe_id(chat_id), exc)\\n  1498|\\n  1499|    async def stop_typing(self, chat_id: str) -> None:\\n  1500|        if not self._session or not self._token:\\n  1501|            return\\n  1502|\", \"total_lines\": 1829, \"file_size\": 66963, \"truncated\": true, \"hint\": \"Use offset=1502 to continue reading (showing 1452-1501 of 1829 lines)\", \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_function_bkhgx2iki2h8_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe WeChat adapter's `send` method looks correct. It sends text content through `_send_text_chunk`. The issue is likely in the delivery mechanism. Let me check how the cron job delivers content - specifically how it passes the markdown content to the WeChat channel.\n\nActually, let me look at the cron delivery code to understand how it delivers content. The cron output is a markdown file, but the delivery should extract the content and send it as text, not as a file.\n\nLet me check the cron job's delivery mechanism.\n</think>\n<think>\nThe WeChat adapter's `send` method looks correct. It sends text content through `_send_text_chunk`. The issue is likely in the delivery mechanism. Let me check how the cron job delivers content - specifically how it passes the markdown content to the WeChat channel.\n\nActually, let me look at the cron delivery code to understand how it delivers content. The cron output is a markdown file, but the delivery should extract the content and send it as text, not as a file.\n\nLet me check the cron job's delivery mechanism.\n</think>",
      "reasoning": "The WeChat adapter's `send` method looks correct. It sends text content through `_send_text_chunk`. The issue is likely in the delivery mechanism. Let me check how the cron job delivers content - specifically how it passes the markdown content to the WeChat channel.\n\nActually, let me look at the cron delivery code to understand how it delivers content. The cron output is a markdown file, but the delivery should extract the content and send it as text, not as a file.\n\nLet me check the cron job's delivery mechanism.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_0o4ggf3bbakv_1",
          "call_id": "call_function_0o4ggf3bbakv_1",
          "response_item_id": "fc_function_0o4ggf3bbakv_1",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"path\": \"/root/.hermes/hermes-agent/cron\", \"pattern\": \"deliver\\\\|SendResult\\\\|weixin\", \"target\": \"files_only\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"total_count\": 0}",
      "tool_call_id": "call_function_0o4ggf3bbakv_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe cron directory might be in a different location. Let me check where the cron code is.\n</think>",
      "reasoning": "The cron directory might be in a different location. Let me check where the cron code is.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_2ztcduuulfya_1",
          "call_id": "call_function_2ztcduuulfya_1",
          "response_item_id": "fc_function_2ztcduuulfya_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"find /root/.hermes -name \\\"*.py\\\" | xargs grep -l \\\"deliver\\\\|SendResult\\\" 2>/dev/null | head -10\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"/root/.hermes/hermes-agent/agent/prompt_builder.py\\n/root/.hermes/hermes-agent/agent/title_generator.py\\n/root/.hermes/hermes-agent/cli.py\\n/root/.hermes/hermes-agent/cron/jobs.py\\n/root/.hermes/hermes-agent/cron/scheduler.py\\n/root/.hermes/hermes-agent/gateway/__init__.py\\n/root/.hermes/hermes-agent/gateway/builtin_hooks/boot_md.py\\n/root/.hermes/hermes-agent/gateway/config.py\\n/root/.hermes/hermes-agent/gateway/delivery.py\\n/root/.hermes/hermes-agent/gateway/display_config.py\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_2ztcduuulfya_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThere's a `gateway/delivery.py` file. Let me check that to understand how delivery works.\n</think>\n<think>\nThere's a `gateway/delivery.py` file. Let me check that to understand how delivery works.\n</think>",
      "reasoning": "There's a `gateway/delivery.py` file. Let me check that to understand how delivery works.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_xm9yum6901j9_1",
          "call_id": "call_function_xm9yum6901j9_1",
          "response_item_id": "fc_function_xm9yum6901j9_1",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\": 100, \"path\": \"/root/.hermes/hermes-agent/gateway/delivery.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"content\": \"     1|\\\"\\\"\\\"\\n     2|Delivery routing for cron job outputs and agent responses.\\n     3|\\n     4|Routes messages to the appropriate destination based on:\\n     5|- Explicit targets (e.g., \\\"telegram:123456789\\\")\\n     6|- Platform home channels (e.g., \\\"telegram\\\" → home channel)\\n     7|- Origin (back to where the job was created)\\n     8|- Local (always saved to files)\\n     9|\\\"\\\"\\\"\\n    10|\\n    11|import logging\\n    12|from pathlib import Path\\n    13|from datetime import datetime\\n    14|from dataclasses import dataclass\\n    15|from typing import Dict, List, Optional, Any\\n    16|\\n    17|from hermes_cli.config import get_hermes_home\\n    18|\\n    19|logger = logging.getLogger(__name__)\\n    20|\\n    21|MAX_PLATFORM_OUTPUT = 4000\\n    22|TRUNCATED_VISIBLE = 3800\\n    23|\\n    24|from .config import Platform, GatewayConfig\\n    25|from .session import SessionSource\\n    26|\\n    27|\\n    28|@dataclass\\n    29|class DeliveryTarget:\\n    30|    \\\"\\\"\\\"\\n    31|    A single delivery target.\\n    32|    \\n    33|    Represents where a message should be sent:\\n    34|    - \\\"origin\\\" → back to source\\n    35|    - \\\"local\\\" → save to local files\\n    36|    - \\\"telegram\\\" → Telegram home channel\\n    37|    - \\\"telegram:123456\\\" → specific Telegram chat\\n    38|    \\\"\\\"\\\"\\n    39|    platform: Platform\\n    40|    chat_id: Optional[str] = None  # None means use home channel\\n    41|    thread_id: Optional[str] = None\\n    42|    is_origin: bool = False\\n    43|    is_explicit: bool = False  # True if chat_id was explicitly specified\\n    44|    \\n    45|    @classmethod\\n    46|    def parse(cls, target: str, origin: Optional[SessionSource] = None) -> \\\"DeliveryTarget\\\":\\n    47|        \\\"\\\"\\\"\\n    48|        Parse a delivery target string.\\n    49|        \\n    50|        Formats:\\n    51|        - \\\"origin\\\" → back to source\\n    52|        - \\\"local\\\" → local files only\\n    53|        - \\\"telegram\\\" → Telegram home channel\\n    54|        - \\\"telegram:123456\\\" → specific Telegram chat\\n    55|        \\\"\\\"\\\"\\n    56|        target = target.strip().lower()\\n    57|        \\n    58|        if target == \\\"origin\\\":\\n    59|            if origin:\\n    60|                return cls(\\n    61|                    platform=origin.platform,\\n    62|                    chat_id=origin.chat_id,\\n    63|                    thread_id=origin.thread_id,\\n    64|                    is_origin=True,\\n    65|                )\\n    66|            else:\\n    67|                # Fallback to local if no origin\\n    68|                return cls(platform=Platform.LOCAL, is_origin=True)\\n    69|        \\n    70|        if target == \\\"local\\\":\\n    71|            return cls(platform=Platform.LOCAL)\\n    72|        \\n    73|        # Check for platform:chat_id or platform:chat_id:thread_id format\\n    74|        if \\\":\\\" in target:\\n    75|            parts = target.split(\\\":\\\", 2)\\n    76|            platform_str = parts[0]\\n    77|            chat_id = parts[1] if len(parts) > 1 else None\\n    78|            thread_id = parts[2] if len(parts) > 2 else None\\n    79|            try:\\n    80|                platform = Platform(platform_str)\\n    81|                return cls(platform=platform, chat_id=chat_id, thread_id=thread_id, is_explicit=True)\\n    82|            except ValueError:\\n    83|                # Unknown platform, treat as local\\n    84|                return cls(platform=Platform.LOCAL)\\n    85|        \\n    86|        # Just a platform name (use home channel)\\n    87|        try:\\n    88|            platform = Platform(target)\\n    89|            return cls(platform=platform)\\n    90|        except ValueError:\\n    91|            # Unknown platform, treat as local\\n    92|            return cls(platform=Platform.LOCAL)\\n    93|    \\n    94|    def to_string(self) -> str:\\n    95|        \\\"\\\"\\\"Convert back to string format.\\\"\\\"\\\"\\n    96|        if self.is_origin:\\n    97|            return \\\"origin\\\"\\n    98|        if self.platform == Platform.LOCAL:\\n    99|            return \\\"local\\\"\\n   100|        if self.chat_id and self.thread_id:\\n   101|\", \"total_lines\": 256, \"file_size\": 8549, \"truncated\": true, \"hint\": \"Use offset=101 to continue reading (showing 1-100 of 256 lines)\", \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_function_xm9yum6901j9_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nLet me continue reading the delivery.py file to see how it handles WeChat delivery.\n</think>\n<think>\nLet me continue reading the delivery.py file to see how it handles WeChat delivery.\n</think>",
      "reasoning": "Let me continue reading the delivery.py file to see how it handles WeChat delivery.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_wtskq170fxev_1",
          "call_id": "call_function_wtskq170fxev_1",
          "response_item_id": "fc_function_wtskq170fxev_1",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"offset\": 150, \"limit\": 110, \"path\": \"/root/.hermes/hermes-agent/gateway/delivery.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"content\": \"   150|        for target in targets:\\n   151|            try:\\n   152|                if target.platform == Platform.LOCAL:\\n   153|                    result = self._deliver_local(content, job_id, job_name, metadata)\\n   154|                else:\\n   155|                    result = await self._deliver_to_platform(target, content, metadata)\\n   156|                \\n   157|                results[target.to_string()] = {\\n   158|                    \\\"success\\\": True,\\n   159|                    \\\"result\\\": result\\n   160|                }\\n   161|            except Exception as e:\\n   162|                results[target.to_string()] = {\\n   163|                    \\\"success\\\": False,\\n   164|                    \\\"error\\\": str(e)\\n   165|                }\\n   166|        \\n   167|        return results\\n   168|    \\n   169|    def _deliver_local(\\n   170|        self,\\n   171|        content: str,\\n   172|        job_id: Optional[str],\\n   173|        job_name: Optional[str],\\n   174|        metadata: Optional[Dict[str, Any]]\\n   175|    ) -> Dict[str, Any]:\\n   176|        \\\"\\\"\\\"Save content to local files.\\\"\\\"\\\"\\n   177|        timestamp = datetime.now().strftime(\\\"%Y%m%d_%H%M%S\\\")\\n   178|        \\n   179|        if job_id:\\n   180|            output_path = self.output_dir / job_id / f\\\"{timestamp}.md\\\"\\n   181|        else:\\n   182|            output_path = self.output_dir / \\\"misc\\\" / f\\\"{timestamp}.md\\\"\\n   183|        \\n   184|        output_path.parent.mkdir(parents=True, exist_ok=True)\\n   185|        \\n   186|        # Build the output document\\n   187|        lines = []\\n   188|        if job_name:\\n   189|            lines.append(f\\\"# {job_name}\\\")\\n   190|        else:\\n   191|            lines.append(\\\"# Delivery Output\\\")\\n   192|        \\n   193|        lines.append(\\\"\\\")\\n   194|        lines.append(f\\\"**Timestamp:** {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\\\")\\n   195|        \\n   196|        if job_id:\\n   197|            lines.append(f\\\"**Job ID:** {job_id}\\\")\\n   198|        \\n   199|        if metadata:\\n   200|            for key, value in metadata.items():\\n   201|                lines.append(f\\\"**{key}:** {value}\\\")\\n   202|        \\n   203|        lines.append(\\\"\\\")\\n   204|        lines.append(\\\"---\\\")\\n   205|        lines.append(\\\"\\\")\\n   206|        lines.append(content)\\n   207|        \\n   208|        output_path.write_text(\\\"\\\\n\\\".join(lines))\\n   209|        \\n   210|        return {\\n   211|            \\\"path\\\": str(output_path),\\n   212|            \\\"timestamp\\\": timestamp\\n   213|        }\\n   214|    \\n   215|    def _save_full_output(self, content: str, job_id: str) -> Path:\\n   216|        \\\"\\\"\\\"Save full cron output to disk and return the file path.\\\"\\\"\\\"\\n   217|        timestamp = datetime.now().strftime(\\\"%Y%m%d_%H%M%S\\\")\\n   218|        out_dir = get_hermes_home() / \\\"cron\\\" / \\\"output\\\"\\n   219|        out_dir.mkdir(parents=True, exist_ok=True)\\n   220|        path = out_dir / f\\\"{job_id}_{timestamp}.txt\\\"\\n   221|        path.write_text(content)\\n   222|        return path\\n   223|\\n   224|    async def _deliver_to_platform(\\n   225|        self,\\n   226|        target: DeliveryTarget,\\n   227|        content: str,\\n   228|        metadata: Optional[Dict[str, Any]]\\n   229|    ) -> Dict[str, Any]:\\n   230|        \\\"\\\"\\\"Deliver content to a messaging platform.\\\"\\\"\\\"\\n   231|        adapter = self.adapters.get(target.platform)\\n   232|        \\n   233|        if not adapter:\\n   234|            raise ValueError(f\\\"No adapter configured for {target.platform.value}\\\")\\n   235|        \\n   236|        if not target.chat_id:\\n   237|            raise ValueError(f\\\"No chat ID for {target.platform.value} delivery\\\")\\n   238|        \\n   239|        # Guard: truncate oversized cron output to stay within platform limits\\n   240|        if len(content) > MAX_PLATFORM_OUTPUT:\\n   241|            job_id = (metadata or {}).get(\\\"job_id\\\", \\\"unknown\\\")\\n   242|            saved_path = self._save_full_output(content, job_id)\\n   243|            logger.info(\\\"Cron output truncated (%d chars) — full output: %s\\\", len(content), saved_path)\\n   244|            content = (\\n   245|                content[:TRUNCATED_VISIBLE]\\n   246|                + f\\\"\\\\n\\\\n... [truncated, full output saved to {saved_path}]\\\"\\n   247|            )\\n   248|        \\n   249|        send_metadata = dict(metadata or {})\\n   250|        if target.thread_id and \\\"thread_id\\\" not in send_metadata:\\n   251|            send_metadata[\\\"thread_id\\\"] = target.thread_id\\n   252|        return await adapter.send(target.chat_id, content, metadata=send_metadata or None)\\n   253|\\n   254|\\n   255|\\n   256|\\n   257|\", \"total_lines\": 256, \"file_size\": 8549, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_function_wtskq170fxev_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nOK, so the delivery mechanism calls `adapter.send(target.chat_id, content, metadata=send_metadata or None)`. For WeChat, this would call `WeixinAdapter.send()`. The issue is that if `adapter.send()` returns `SendResult(success=True)`, the delivery is marked as \"ok\". But if the actual HTTP request to WeChat fails silently, it might still return success.\n\nWait, let me look at the WeChat adapter's `send` method more carefully. It catches exceptions and returns `SendResult(success=False, error=str(exc))`. But if there's a silent failure (e.g., the HTTP request succeeds but WeChat doesn't deliver), that would still be returned as success.\n\nActually, the issue might be that the content being sent is the FULL markdown file including headers and the \"## Response\" section. The content that was delivered to WeChat was:\n\n```\n【📮 喷嚏图卦】20260425\n\n1️⃣ 有人走私尿素钾肥...\n...\n#喷嚏图卦\n```\n\nBut this is the raw markdown content, not formatted for WeChat. The WeChat adapter has a `format_message` method that might process markdown. Let me check that.\n</think>",
      "reasoning": "OK, so the delivery mechanism calls `adapter.send(target.chat_id, content, metadata=send_metadata or None)`. For WeChat, this would call `WeixinAdapter.send()`. The issue is that if `adapter.send()` returns `SendResult(success=True)`, the delivery is marked as \"ok\". But if the actual HTTP request to WeChat fails silently, it might still return success.\n\nWait, let me look at the WeChat adapter's `send` method more carefully. It catches exceptions and returns `SendResult(success=False, error=str(exc))`. But if there's a silent failure (e.g., the HTTP request succeeds but WeChat doesn't deliver), that would still be returned as success.\n\nActually, the issue might be that the content being sent is the FULL markdown file including headers and the \"## Response\" section. The content that was delivered to WeChat was:\n\n```\n【📮 喷嚏图卦】20260425\n\n1️⃣ 有人走私尿素钾肥...\n...\n#喷嚏图卦\n```\n\nBut this is the raw markdown content, not formatted for WeChat. The WeChat adapter has a `format_message` method that might process markdown. Let me check that.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_kuhquqgxwzpm_1",
          "call_id": "call_function_kuhquqgxwzpm_1",
          "response_item_id": "fc_function_kuhquqgxwzpm_1",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"pattern\": \"def format_message\", \"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"total_count\": 1, \"matches\": [{\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\", \"line\": 1755, \"content\": \"    def format_message(self, content: Optional[str]) -> str:\"}]}",
      "tool_call_id": "call_function_kuhquqgxwzpm_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nLet me check the format_message method.\n</think>\n<think>\nLet me check the format_message method.\n</think>",
      "reasoning": "Let me check the format_message method.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_b4ah5vyd7j5a_1",
          "call_id": "call_function_b4ah5vyd7j5a_1",
          "response_item_id": "fc_function_b4ah5vyd7j5a_1",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\": 30, \"offset\": 1755, \"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"content\": \"  1755|    def format_message(self, content: Optional[str]) -> str:\\n  1756|        if content is None:\\n  1757|            return \\\"\\\"\\n  1758|        return _normalize_markdown_blocks(content)\\n  1759|\\n  1760|\\n  1761|async def send_weixin_direct(\\n  1762|    *,\\n  1763|    extra: Dict[str, Any],\\n  1764|    token: Optional[str],\\n  1765|    chat_id: str,\\n  1766|    message: str,\\n  1767|    media_files: Optional[List[Tuple[str, bool]]] = None,\\n  1768|) -> Dict[str, Any]:\\n  1769|    \\\"\\\"\\\"\\n  1770|    One-shot send helper for ``send_message`` and cron delivery.\\n  1771|\\n  1772|    This bypasses the long-poll adapter lifecycle and uses the raw API directly.\\n  1773|    \\\"\\\"\\\"\\n  1774|    account_id = str(extra.get(\\\"account_id\\\") or os.getenv(\\\"WEIXIN_ACCOUNT_ID\\\", \\\"\\\")).strip()\\n  1775|    base_url = str(extra.get(\\\"base_url\\\") or os.getenv(\\\"WEIXIN_BASE_URL\\\", ILINK_BASE_URL)).strip().rstrip(\\\"/\\\")\\n  1776|    cdn_base_url = str(extra.get(\\\"cdn_base_url\\\") or os.getenv(\\\"WEIXIN_CDN_BASE_URL\\\", WEIXIN_CDN_BASE_URL)).strip().rstrip(\\\"/\\\")\\n  1777|    resolved_token = str(token or extra.get(\\\"token\\\") or os.getenv(\\\"WEIXIN_TOKEN\\\", \\\"\\\")).strip()\\n  1778|    if not resolved_token:\\n  1779|        return {\\\"error\\\": \\\"Weixin token missing. Configure WEIXIN_TOKEN or platforms.weixin.token.\\\"}\\n  1780|    if not account_id:\\n  1781|        return {\\\"error\\\": \\\"Weixin account ID missing. Configure WEIXIN_ACCOUNT_ID or platforms.weixin.extra.account_id.\\\"}\\n  1782|\\n  1783|    token_store = ContextTokenStore(str(get_hermes_home()))\\n  1784|    token_store.restore(account_id)\\n  1785|\", \"total_lines\": 1829, \"file_size\": 66963, \"truncated\": true, \"hint\": \"Use offset=1785 to continue reading (showing 1755-1784 of 1829 lines)\", \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_function_b4ah5vyd7j5a_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nI see there's a `send_weixin_direct` function that's used for \"cron delivery\". Let me see how it's called and whether the cron delivery uses this path or the adapter's `send` method. The issue might be that the delivery uses a different path.\n\nActually, looking at the `_deliver_to_platform` method, it calls `adapter.send(target.chat_id, content, metadata=send_metadata or None)`. This should use the WeixinAdapter's `send` method. But there's also `send_weixin_direct` which is a \"one-shot send helper for ``send_message`` and cron delivery\".\n\nLet me search for where `send_weixin_direct` is used.\n</think>\n<think>\nI see there's a `send_weixin_direct` function that's used for \"cron delivery\". Let me see how it's called and whether the cron delivery uses this path or the adapter's `send` method. The issue might be that the delivery uses a different path.\n\nActually, looking at the `_deliver_to_platform` method, it calls `adapter.send(target.chat_id, content, metadata=send_metadata or None)`. This should use the WeixinAdapter's `send` method. But there's also `send_weixin_direct` which is a \"one-shot send helper for ``send_message`` and cron delivery\".\n\nLet me search for where `send_weixin_direct` is used.\n</think>",
      "reasoning": "I see there's a `send_weixin_direct` function that's used for \"cron delivery\". Let me see how it's called and whether the cron delivery uses this path or the adapter's `send` method. The issue might be that the delivery uses a different path.\n\nActually, looking at the `_deliver_to_platform` method, it calls `adapter.send(target.chat_id, content, metadata=send_metadata or None)`. This should use the WeixinAdapter's `send` method. But there's also `send_weixin_direct` which is a \"one-shot send helper for ``send_message`` and cron delivery\".\n\nLet me search for where `send_weixin_direct` is used.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_8j0qxxf2jx2z_1",
          "call_id": "call_function_8j0qxxf2jx2z_1",
          "response_item_id": "fc_function_8j0qxxf2jx2z_1",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"path\": \"/root/.hermes/hermes-agent/gateway\", \"pattern\": \"send_weixin_direct\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"total_count\": 0}",
      "tool_call_id": "call_function_8j0qxxf2jx2z_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nHmm, `send_weixin_direct` is defined but not used anywhere in the gateway directory. Let me check if it's used in other places.Actually, let me think about this differently. The cron job ran and generated the output file. The `last_status: ok` suggests the delivery was successful. But there are no delivery logs. \n\nLet me check the cron job's last_run more carefully. The `last_run_at` says \"2026-04-25T17:31:14.079626+08:00\" and the output file was created at \"Apr 25 17:31\". This all seems consistent with the job running and saving to file. But did it actually call the WeChat API?Let me check the job result more carefully. Maybe the issue is that the delivery was attempted but failed silently, and the \"ok\" status is from the file save, not from the WeChat delivery.\n\nActually, wait - looking at the delivery code again:```python\nresult = await self._deliver_to_platform(target, content, metadata)\nresults[target.to_string()] = {\n    \"success\": True,\n    \"result\": result\n}\n```\n\nIf `_deliver_to_platform` raises an exception, it would be caught and `success` would be `False`. But if the WeChat API returns success without actually delivering (e.g., the message is accepted but not shown to users), then it would be marked as success.\n\nLet me look at the `_send_text_chunk` method in the WeChat adapter to understand how it actually sends messages.\n</think>\n<think>\nHmm, `send_weixin_direct` is defined but not used anywhere in the gateway directory. Let me check if it's used in other places.Actually, let me think about this differently. The cron job ran and generated the output file. The `last_status: ok` suggests the delivery was successful. But there are no delivery logs. \n\nLet me check the cron job's last_run more carefully. Maybe the issue is that the delivery was attempted but failed silently, and the \"ok\" status is from the file save, not from the WeChat delivery.\n\nActually, wait - looking at the delivery code again:```python\nresult = await self._deliver_to_platform(target, content, metadata)\nresults[target.to_string()] = {\n    \"success\": True,\n    \"result\": result\n}\n```\n\nIf `_deliver_to_platform` raises an exception, it would be caught and `success` would be `False`. But if the WeChat API returns success without actually delivering (e.g., the message is accepted but not shown to users), then it would be marked as success.\n\nLet me look at the `_send_text_chunk` method in the WeChat adapter to understand how it actually sends messages.\n</think>",
      "reasoning": "Hmm, `send_weixin_direct` is defined but not used anywhere in the gateway directory. Let me check if it's used in other places.Actually, let me think about this differently. The cron job ran and generated the output file. The `last_status: ok` suggests the delivery was successful. But there are no delivery logs. \n\nLet me check the cron job's last_run more carefully. The `last_run_at` says \"2026-04-25T17:31:14.079626+08:00\" and the output file was created at \"Apr 25 17:31\". This all seems consistent with the job running and saving to file. But did it actually call the WeChat API?Let me check the job result more carefully. Maybe the issue is that the delivery was attempted but failed silently, and the \"ok\" status is from the file save, not from the WeChat delivery.\n\nActually, wait - looking at the delivery code again:```python\nresult = await self._deliver_to_platform(target, content, metadata)\nresults[target.to_string()] = {\n    \"success\": True,\n    \"result\": result\n}\n```\n\nIf `_deliver_to_platform` raises an exception, it would be caught and `success` would be `False`. But if the WeChat API returns success without actually delivering (e.g., the message is accepted but not shown to users), then it would be marked as success.\n\nLet me look at the `_send_text_chunk` method in the WeChat adapter to understand how it actually sends messages.\n\nHmm, `send_weixin_direct` is defined but not used anywhere in the gateway directory. Let me check if it's used in other places.Actually, let me think about this differently. The cron job ran and generated the output file. The `last_status: ok` suggests the delivery was successful. But there are no delivery logs. \n\nLet me check the cron job's last_run more carefully. Maybe the issue is that the delivery was attempted but failed silently, and the \"ok\" status is from the file save, not from the WeChat delivery.\n\nActually, wait - looking at the delivery code again:```python\nresult = await self._deliver_to_platform(target, content, metadata)\nresults[target.to_string()] = {\n    \"success\": True,\n    \"result\": result\n}\n```\n\nIf `_deliver_to_platform` raises an exception, it would be caught and `success` would be `False`. But if the WeChat API returns success without actually delivering (e.g., the message is accepted but not shown to users), then it would be marked as success.\n\nLet me look at the `_send_text_chunk` method in the WeChat adapter to understand how it actually sends messages.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_4tzf5dhjr45a_1",
          "call_id": "call_function_4tzf5dhjr45a_1",
          "response_item_id": "fc_function_4tzf5dhjr45a_1",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\", \"pattern\": \"def _send_text_chunk\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"total_count\": 1, \"matches\": [{\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\", \"line\": 1411, \"content\": \"    async def _send_text_chunk(\"}]}",
      "tool_call_id": "call_function_4tzf5dhjr45a_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nLet me look at the `_send_text_chunk` method to understand how it sends messages.\n</think>\n<think>\nLet me look at the `_send_text_chunk` method to understand how it sends messages.\n</think>",
      "reasoning": "Let me look at the `_send_text_chunk` method to understand how it sends messages.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_ih1evie5jlqt_1",
          "call_id": "call_function_ih1evie5jlqt_1",
          "response_item_id": "fc_function_ih1evie5jlqt_1",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\": 50, \"offset\": 1411, \"path\": \"/root/.hermes/hermes-agent/gateway/platforms/weixin.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"content\": \"  1411|    async def _send_text_chunk(\\n  1412|        self,\\n  1413|        *,\\n  1414|        chat_id: str,\\n  1415|        chunk: str,\\n  1416|        context_token: Optional[str],\\n  1417|        client_id: str,\\n  1418|    ) -> None:\\n  1419|        \\\"\\\"\\\"Send a single text chunk with per-chunk retry and backoff.\\\"\\\"\\\"\\n  1420|        last_error: Optional[Exception] = None\\n  1421|        for attempt in range(self._send_chunk_retries + 1):\\n  1422|            try:\\n  1423|                await _send_message(\\n  1424|                    self._session,\\n  1425|                    base_url=self._base_url,\\n  1426|                    token=self._token,\\n  1427|                    to=chat_id,\\n  1428|                    text=chunk,\\n  1429|                    context_token=context_token,\\n  1430|                    client_id=client_id,\\n  1431|                )\\n  1432|                return\\n  1433|            except Exception as exc:\\n  1434|                last_error = exc\\n  1435|                if attempt >= self._send_chunk_retries:\\n  1436|                    break\\n  1437|                wait = self._send_chunk_retry_delay_seconds * (attempt + 1)\\n  1438|                logger.warning(\\n  1439|                    \\\"[%s] send chunk failed to=%s attempt=%d/%d, retrying in %.2fs: %s\\\",\\n  1440|                    self.name,\\n  1441|                    _safe_id(chat_id),\\n  1442|                    attempt + 1,\\n  1443|                    self._send_chunk_retries + 1,\\n  1444|                    wait,\\n  1445|                    exc,\\n  1446|                )\\n  1447|                if wait > 0:\\n  1448|                    await asyncio.sleep(wait)\\n  1449|        assert last_error is not None\\n  1450|        raise last_error\\n  1451|\\n  1452|    async def send(\\n  1453|        self,\\n  1454|        chat_id: str,\\n  1455|        content: str,\\n  1456|        reply_to: Optional[str] = None,\\n  1457|        metadata: Optional[Dict[str, Any]] = None,\\n  1458|    ) -> SendResult:\\n  1459|        if not self._session or not self._token:\\n  1460|            return SendResult(success=False, error=\\\"Not connected\\\")\\n  1461|\", \"total_lines\": 1829, \"file_size\": 66963, \"truncated\": true, \"hint\": \"Use offset=1461 to continue reading (showing 1411-1460 of 1829 lines)\", \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_function_ih1evie5jlqt_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nI see - the WeChat adapter's `send` method requires `self._session` and `self._token` to be set. If they're not set, it returns `SendResult(success=False, error=\"Not connected\")`. \n\nThe issue might be that the WeChat adapter is registered in the gateway, but its `send` method is returning `success=False` with \"Not connected\" because the session/token isn't set. But the delivery mechanism doesn't check the `SendResult.success` field - it only catches exceptions. Let me look at the delivery code again.\n\nActually wait, looking at `_deliver_to_platform`:\n```python\nreturn await adapter.send(target.chat_id, content, metadata=send_metadata or None)\n```\n\nAnd the delivery results handling:\n```python\ntry:\n    if target.platform == Platform.LOCAL:\n        result = self._deliver_local(...)\n    else:\n        result = await self._deliver_to_platform(target, content, metadata)\n    results[target.to_string()] = {\n        \"success\": True,\n        \"result\": result\n    }\nexcept Exception as e:\n    results[target.to_string()] = {\n        \"success\": False,\n        \"error\": str(e)\n    }\n```\n\nThe problem is that `adapter.send()` returns a `SendResult` object rather than raising an exception when there's a connection issue - it only raises exceptions for retriable errors. So the delivery thinks it succeeded because no exception was thrown, but the `SendResult` contains `success=False` with an error message like \"Not connected\" that never gets checked.\n</think>",
      "reasoning": "I see - the WeChat adapter's `send` method requires `self._session` and `self._token` to be set. If they're not set, it returns `SendResult(success=False, error=\"Not connected\")`. \n\nThe issue might be that the WeChat adapter is registered in the gateway, but its `send` method is returning `success=False` with \"Not connected\" because the session/token isn't set. But the delivery mechanism doesn't check the `SendResult.success` field - it only catches exceptions. Let me look at the delivery code again.\n\nActually wait, looking at `_deliver_to_platform`:\n```python\nreturn await adapter.send(target.chat_id, content, metadata=send_metadata or None)\n```\n\nAnd the delivery results handling:\n```python\ntry:\n    if target.platform == Platform.LOCAL:\n        result = self._deliver_local(...)\n    else:\n        result = await self._deliver_to_platform(target, content, metadata)\n    results[target.to_string()] = {\n        \"success\": True,\n        \"result\": result\n    }\nexcept Exception as e:\n    results[target.to_string()] = {\n        \"success\": False,\n        \"error\": str(e)\n    }\n```\n\nThe problem is that `adapter.send()` returns a `SendResult` object rather than raising an exception when there's a connection issue - it only raises exceptions for retriable errors. So the delivery thinks it succeeded because no exception was thrown, but the `SendResult` contains `success=False` with an error message like \"Not connected\" that never gets checked.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_9yuvxjgxqe9f_1",
          "call_id": "call_function_9yuvxjgxqe9f_1",
          "response_item_id": "fc_function_9yuvxjgxqe9f_1",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"path\": \"/root/.hermes/hermes-agent/gateway/delivery.py\", \"pattern\": \"SendResult\\\\|success\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"total_count\": 2, \"matches\": [{\"path\": \"/root/.hermes/hermes-agent/gateway/delivery.py\", \"line\": 158, \"content\": \"                    \\\"success\\\": True,\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/delivery.py\", \"line\": 163, \"content\": \"                    \\\"success\\\": False,\"}]}",
      "tool_call_id": "call_function_9yuvxjgxqe9f_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nI see - the delivery code catches exceptions only. If `adapter.send()` returns `SendResult(success=False, error=\"Not connected\")`, the delivery mechanism doesn't check this - it just passes the `SendResult` as the `result`. So the cron job's `last_status: ok` just means no exception was raised, not that the WeChat delivery actually succeeded!\n\nThis is a bug in the delivery mechanism - it doesn't check `SendResult.success`. But more importantly, the WeChat adapter is returning `SendResult(success=False, error=\"Not connected\")` which means the WeChat channel is not connected properly.\n\nLet me verify this by checking if the WeChat adapter is connected. The WeChat adapter uses a long-polling mechanism, so it might be \"connected\" in the sense that the long-poll loop is running, but the actual API token/session might not be valid.\n</think>\n<think>\nI see - the delivery code catches exceptions only. If `adapter.send()` returns `SendResult(success=False, error=\"Not connected\")`, the delivery mechanism doesn't check this - it just passes the `SendResult` as the `result`. So the cron job's `last_status: ok` just means no exception was raised, not that the WeChat delivery actually succeeded!\n\nThis is a bug in the delivery mechanism - it doesn't check `SendResult.success`. But more importantly, the WeChat adapter is returning `SendResult(success=False, error=\"Not connected\")` which means the WeChat channel is not connected properly.\n\nLet me verify this by checking if the WeChat adapter is connected. The WeChat adapter uses a long-polling mechanism, so it might be \"connected\" in the sense that the long-poll loop is running, but the actual API token/session might not be valid.\n</think>\n亮发现问题了！微信适配器的 `send` 方法在未连接时会返回 `SendResult(success=False, error=\"Not connected\")`，但投递代码只捕获异常，不检查 `SendResult.success` 字段。所以 cron job 报 \"ok\"，实际微信根本没收到。\n\n让亮检查一下微信适配器是否真的连接正常：",
      "reasoning": "I see - the delivery code catches exceptions only. If `adapter.send()` returns `SendResult(success=False, error=\"Not connected\")`, the delivery mechanism doesn't check this - it just passes the `SendResult` as the `result`. So the cron job's `last_status: ok` just means no exception was raised, not that the WeChat delivery actually succeeded!\n\nThis is a bug in the delivery mechanism - it doesn't check `SendResult.success`. But more importantly, the WeChat adapter is returning `SendResult(success=False, error=\"Not connected\")` which means the WeChat channel is not connected properly.\n\nLet me verify this by checking if the WeChat adapter is connected. The WeChat adapter uses a long-polling mechanism, so it might be \"connected\" in the sense that the long-poll loop is running, but the actual API token/session might not be valid.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_gklqc5ihzwyq_1",
          "call_id": "call_function_gklqc5ihzwyq_1",
          "response_item_id": "fc_function_gklqc5ihzwyq_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"cd /root/.hermes && source hermes-agent/venv/bin/activate && python -c \\\"\\nimport asyncio\\nfrom gateway import Gateway\\n\\nasync def check():\\n    gateway = Gateway.load()\\n    adapters = gateway._adapter_manager._adapters\\n    for name, adapter in adapters.items():\\n        if 'weixin' in name.lower():\\n            print(f'{name}: session={adapter._session is not None}, token={adapter._token is not None if hasattr(adapter, \\\\\\\"_token\\\\\\\") else \\\\\\\"N/A\\\\\\\"}')\\n\\nasyncio.run(check())\\n\\\" 2>&1\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"Traceback (most recent call last):\\n  File \\\"<string>\\\", line 3, in <module>\\nImportError: cannot import name 'Gateway' from 'gateway' (/root/.hermes/hermes-agent/gateway/__init__.py)\", \"exit_code\": 1, \"error\": null}",
      "tool_call_id": "call_function_gklqc5ihzwyq_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nLet me try a different approach to check the WeChat adapter status.\n</think>\n<think>\nLet me try a different approach to check the WeChat adapter status.\n</think>",
      "reasoning": "Let me try a different approach to check the WeChat adapter status.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_kkveositfv34_1",
          "call_id": "call_function_kkveositfv34_1",
          "response_item_id": "fc_function_kkveositfv34_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"cd /root/.hermes/hermes-agent && source venv/bin/activate && python -c \\\"\\nimport asyncio\\nfrom gateway.run import Gateway\\n\\nasync def check():\\n    g = Gateway.load()\\n    adapters = g._adapter_manager._adapters\\n    for name, adapter in adapters.items():\\n        if 'weixin' in name.lower():\\n            has_session = hasattr(adapter, '_session') and adapter._session is not None\\n            has_token = hasattr(adapter, '_token') and adapter._token is not None\\n            print(f'{name}: session={has_session}, token={has_token}')\\n\\nasyncio.run(check())\\n\\\" 2>&1\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"Traceback (most recent call last):\\n  File \\\"<string>\\\", line 3, in <module>\\nImportError: cannot import name 'Gateway' from 'gateway.run' (/root/.hermes/hermes-agent/gateway/run.py)\", \"exit_code\": 1, \"error\": null}",
      "tool_call_id": "call_function_kkveositfv34_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nLet me check the gateway run.py to understand how to access the adapter status.\n</think>\n<think>\nLet me check the gateway run.py to understand how to access the adapter status.\n</think>\n<think>\nLet me check the gateway run.py to understand how to access the adapter status.\n</think>",
      "reasoning": "Let me check the gateway run.py to understand how to access the adapter status.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_omutznqwiyrs_1",
          "call_id": "call_function_omutznqwiyrs_1",
          "response_item_id": "fc_function_omutznqwiyrs_1",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"path\": \"/root/.hermes/hermes-agent/gateway/run.py\", \"pattern\": \"class Gateway\\\\|def load\\\\|adapter_manager\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"total_count\": 1, \"matches\": [{\"path\": \"/root/.hermes/hermes-agent/gateway/run.py\", \"line\": 512, \"content\": \"class GatewayRunner:\"}]}",
      "tool_call_id": "call_function_omutznqwiyrs_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nIt's `GatewayRunner`, not `Gateway`. Let me try a different approach - check the WeChat adapter log or check if the token is set correctly in the config.\n</think>\n<think>\nIt's `GatewayRunner`, not `Gateway`. Let me try a different approach - check the WeChat adapter log or check if the token is set correctly in the config.\n</think>\n<think>\nIt's `GatewayRunner`, not `Gateway`. Let me try a different approach - check the WeChat adapter log or check if the token is set correctly in the config.\n</think>",
      "reasoning": "It's `GatewayRunner`, not `Gateway`. Let me try a different approach - check the WeChat adapter log or check if the token is set correctly in the config.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_mc90a5t0h0dx_1",
          "call_id": "call_function_mc90a5t0h0dx_1",
          "response_item_id": "fc_function_mc90a5t0h0dx_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"cd /root/.hermes && grep -i \\\"weixin.*token\\\\|token.*weixin\\\" config.yaml 2>/dev/null || grep -i \\\"weixin\\\" config.yaml | head -10\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"WEIXIN_HOME_CHANNEL: o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_mc90a5t0h0dx_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe config only has `WEIXIN_HOME_CHANNEL`, not the token. Let me check if the token is set in the environment or in a separate config file.\n</think>\n<think>\nThe config only has `WEIXIN_HOME_CHANNEL`, not the token. Let me check if the token is set in the environment or in a separate config file.\n</think>\n<think>\nThe config only has `WEIXIN_HOME_CHANNEL`, not the token. Let me check if the token is set in the environment or in a separate config file.\n</think>",
      "reasoning": "The config only has `WEIXIN_HOME_CHANNEL`, not the token. Let me check if the token is set in the environment or in a separate config file.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_k4kfmlk00ag1_1",
          "call_id": "call_function_k4kfmlk00ag1_1",
          "response_item_id": "fc_function_k4kfmlk00ag1_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"env | grep -i \\\"weixin\\\\|wechat\\\" | head -10\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"WEIXIN_CDN_BASE_URL=https://novac2c.cdn.weixin.qq.com/c2c\\nWEIXIN_ACCOUNT_ID=1adc5ad9b781@im.bot\\nWEIXIN_TOKEN=1adc5a...7a7d\\nWEIXIN_GROUP_ALLOWED_USERS=\\nWEIXIN_BASE_URL=https://ilinkai.weixin.qq.com\\nHERMES_CRON_AUTO_DELIVER_CHAT_ID=o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat\\nWEIXIN_ALLOWED_USERS=\\nWEIXIN_HOME_CHANNEL=o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat\\nWEIXIN_DM_POLICY=pairing\\nHERMES_CRON_AUTO_DELIVER_PLATFORM=weixin\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_k4kfmlk00ag1_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe WeChat token is set (`WEIXIN_TOKEN=1adc5a...7a7d`). So the token is configured. Let me check if the token is valid by looking at the gateway logs more carefully.\n\nActually, let me think about this differently. The WeChat adapter has a long-polling mechanism. It might be connected in the sense that it's running, but the token might be invalid or expired. Let me look at the logs for any WeChat-related errors.\n\nLooking at the earlier logs, I see there were no errors specifically around April 25th 17:31. Let me search for any recent WeChat errors.\n</think>\n<think>\nThe WeChat token is set (`WEIXIN_TOKEN=1adc5a...7a7d`). So the token is configured. Let me check if the token is valid by looking at the gateway logs more carefully.\n\nActually, let me think about this differently. The WeChat adapter has a long-polling mechanism. It might be connected in the sense that it's running, but the token might be invalid or expired. Let me look at the logs for any WeChat-related errors.\n\nLooking at the earlier logs, I see there were no errors specifically around April 25th 17:31. Let me search for any recent WeChat errors.\n</think>\n<think>\nThe WeChat token is set (`WEIXIN_TOKEN=1adc5a...7a7d`). So the token is configured. Let me check if the token is valid by looking at the gateway logs more carefully.\n\nActually, let me think about this differently. The WeChat adapter has a long-polling mechanism. It might be connected in the sense that it's running, but the token might be invalid or expired. Let me look at the logs for any WeChat-related errors.\n\nLooking at the earlier logs, I see there were no errors specifically around April 25th 17:31. Let me search for any recent WeChat errors.\n</think>",
      "reasoning": "The WeChat token is set (`WEIXIN_TOKEN=1adc5a...7a7d`). So the token is configured. Let me check if the token is valid by looking at the gateway logs more carefully.\n\nActually, let me think about this differently. The WeChat adapter has a long-polling mechanism. It might be connected in the sense that it's running, but the token might be invalid or expired. Let me look at the logs for any WeChat-related errors.\n\nLooking at the earlier logs, I see there were no errors specifically around April 25th 17:31. Let me search for any recent WeChat errors.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_6adly2h9bqrx_1",
          "call_id": "call_function_6adly2h9bqrx_1",
          "response_item_id": "fc_function_6adly2h9bqrx_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"grep -i \\\"weixin.*error\\\\|weixin.*fail\\\\|not connected\\\\|401\\\\|403\\\" /root/.hermes/logs/errors.log 2>/dev/null | tail -10\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"2026-04-23 16:55:40,988 ERROR [20260423_165539_2b8c83] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authorized_error', 'message': 'invalid api key (2049)', 'http_code': '401'}, 'request_id': '0639118c40288e60e72d3c581cc16ccd'}\\n2026-04-23 17:37:39,795 ERROR [20260423_173738_cbbcc1] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authorized_error', 'message': 'invalid api key (2049)', 'http_code': '401'}, 'request_id': '06391b638b2286a37941ae5b5ac498bf'}\\n2026-04-24 17:10:11,364 ERROR [20260424_170026_9c5f5c] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid api key'}, 'request_id': '063a6673988ed2b2b9d15aadba78ecab'}\\n2026-04-24 17:10:24,819 ERROR [20260424_170026_9c5f5c] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid api key'}, 'request_id': '063a6680695fa1b8d705f6d74fad9fcd'}\\n2026-04-24 17:13:15,435 ERROR [20260424_170026_9c5f5c] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid api key'}, 'request_id': '063a672b6985b4f6f10783d968ca3797'}\\n2026-04-24 17:14:50,419 ERROR [20260424_170026_9c5f5c] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid api key'}, 'request_id': '063a678ac99baa2d004389a03a4e0a97'}\\n2026-04-24 17:18:54,470 ERROR [20260424_171845_07c94c] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid api key'}, 'request_id': '063a687ef679a5a8bd083b797eefbf07'}\\n2026-04-24 17:20:54,717 ERROR [20260424_171845_07c94c] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid api key'}, 'request_id': '063a68f62b16cf69639e636da9ca87b1'}\\n2026-04-24 17:25:24,038 ERROR [20260424_170026_9c5f5c] root: Non-retryable client error: Error code: 401 - {'type': 'error', 'error': {'type': 'authentication_error', 'message': 'invalid api key'}, 'request_id': '063a6a03a1c8834a8f09d6d88f455597'}\\n2026-04-24 17:26:58,356 ERROR [20260424_170026_9c5f5c] root: Non-retryable client error: Error code: 401 - {'error': {'message': 'No cookie auth credentials found', 'code': 401}}\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_6adly2h9bqrx_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nI see there were 401 errors on April 23rd and 24th related to API/authentication, but nothing on April 25th. This suggests the authentication issues were resolved by April 25th.\n\nLet me think about this problem differently. The cron job ran at 17:31 on April 25th and reported \"ok\". The content was generated and saved to a file. But the WeChat delivery might have silently failed because:\n\n1. The WeChat adapter's `send()` method returned `SendResult(success=False, error=\"Not connected\")` - but this would be caught as an exception would be raised only if `_send_text_chunk` fails after all retries.\n\nActually wait - looking at the `_send_text_chunk` method again:\n```python\nfor attempt in range(self._send_chunk_retries + 1):\n    try:\n        await _send_message(...)\n        return\n    except Exception as exc:\n        last_error = exc\n        ...\nassert last_error is not None\nraise last_error\n```\n\nIf all retries fail, it raises `last_error`. This would be caught by the `send()` method:\n```python\nexcept Exception as exc:\n    logger.error(\"[%s] send failed to=%s: %s\", self.name, _safe_id(chat_id), exc)\n    return SendResult(success=False, error=str(exc))\n```\n\nSo if there's a connection issue, an exception would be raised and caught, returning `SendResult(success=False)`. This would NOT cause an exception in the delivery code, so the delivery would report \"ok\" even though the WeChat send failed.\n\nBut the logs don't show any error around 17:31 on April 25th. This could mean:\n1. The WeChat adapter's `send()` was never called at that time\n2. The WeChat adapter was connected but the message was accepted by the API (returned success) but never actually delivered to the user\n\nI should check the WeChat adapter's status or logs more carefully around that time.\n</think>\n<think>\nI see there were 401 errors on April 23rd and 24th related to API/authentication, but nothing on April 25th. This suggests the authentication issues were resolved by April 25th.\n\nLet me think about this problem differently. The cron job ran at 17:31 on April 25th and reported \"ok\". The content was generated and saved to a file. But the WeChat delivery might have silently failed because:\n\n1. The WeChat adapter's `send()` method returned `SendResult(success=False, error=\"Not connected\")` - but this would cause an exception in `_send_text_chunk` after retries are exhausted.\n\nActually wait - looking at the `_send_text_chunk` method again:\n```python\nfor attempt in range(self._send_chunk_retries + 1):\n    try:\n        await _send_message(...)\n        return\n    except Exception as exc:\n        last_error = exc\n        ...\nassert last_error is not None\nraise last_error\n```\n\nIf all retries fail, it raises `last_error`. This would be caught by the `send()` method:\n```python\nexcept Exception as exc:\n    logger.error(\"[%s] send failed to=%s: %s\", self.name, _safe_id(chat_id), exc)\n    return SendResult(success=False, error=str(exc))\n```\n\nSo if there's a connection issue, an exception would be raised and caught, returning `SendResult(success=False)`. This would NOT cause an exception in the delivery code, so the delivery would report \"ok\" even though the WeChat send failed.\n\nBut the logs don't show any error around 17:31 on April 25th. This could mean:\n1. The WeChat adapter's `send()` was never called at that time\n2. The WeChat adapter was connected but the message was accepted by the API (returned success) but never actually delivered to the user\n\nI should check the WeChat adapter's status or logs more carefully around that time.\n</think>",
      "reasoning": "I see there were 401 errors on April 23rd and 24th related to API/authentication, but nothing on April 25th. This suggests the authentication issues were resolved by April 25th.\n\nLet me think about this problem differently. The cron job ran at 17:31 on April 25th and reported \"ok\". The content was generated and saved to a file. But the WeChat delivery might have silently failed because:\n\n1. The WeChat adapter's `send()` method returned `SendResult(success=False, error=\"Not connected\")` - but this would be caught as an exception would be raised only if `_send_text_chunk` fails after all retries.\n\nActually wait - looking at the `_send_text_chunk` method again:\n```python\nfor attempt in range(self._send_chunk_retries + 1):\n    try:\n        await _send_message(...)\n        return\n    except Exception as exc:\n        last_error = exc\n        ...\nassert last_error is not None\nraise last_error\n```\n\nIf all retries fail, it raises `last_error`. This would be caught by the `send()` method:\n```python\nexcept Exception as exc:\n    logger.error(\"[%s] send failed to=%s: %s\", self.name, _safe_id(chat_id), exc)\n    return SendResult(success=False, error=str(exc))\n```\n\nSo if there's a connection issue, an exception would be raised and caught, returning `SendResult(success=False)`. This would NOT cause an exception in the delivery code, so the delivery would report \"ok\" even though the WeChat send failed.\n\nBut the logs don't show any error around 17:31 on April 25th. This could mean:\n1. The WeChat adapter's `send()` was never called at that time\n2. The WeChat adapter was connected but the message was accepted by the API (returned success) but never actually delivered to the user\n\nI should check the WeChat adapter's status or logs more carefully around that time.\n\nI see there were 401 errors on April 23rd and 24th related to API/authentication, but nothing on April 25th. This suggests the authentication issues were resolved by April 25th.\n\nLet me think about this problem differently. The cron job ran at 17:31 on April 25th and reported \"ok\". The content was generated and saved to a file. But the WeChat delivery might have silently failed because:\n\n1. The WeChat adapter's `send()` method returned `SendResult(success=False, error=\"Not connected\")` - but this would cause an exception in `_send_text_chunk` after retries are exhausted.\n\nActually wait - looking at the `_send_text_chunk` method again:\n```python\nfor attempt in range(self._send_chunk_retries + 1):\n    try:\n        await _send_message(...)\n        return\n    except Exception as exc:\n        last_error = exc\n        ...\nassert last_error is not None\nraise last_error\n```\n\nIf all retries fail, it raises `last_error`. This would be caught by the `send()` method:\n```python\nexcept Exception as exc:\n    logger.error(\"[%s] send failed to=%s: %s\", self.name, _safe_id(chat_id), exc)\n    return SendResult(success=False, error=str(exc))\n```\n\nSo if there's a connection issue, an exception would be raised and caught, returning `SendResult(success=False)`. This would NOT cause an exception in the delivery code, so the delivery would report \"ok\" even though the WeChat send failed.\n\nBut the logs don't show any error around 17:31 on April 25th. This could mean:\n1. The WeChat adapter's `send()` was never called at that time\n2. The WeChat adapter was connected but the message was accepted by the API (returned success) but never actually delivered to the user\n\nI should check the WeChat adapter's status or logs more carefully around that time.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_oyekbytc0q5a_1",
          "call_id": "call_function_oyekbytc0q5a_1",
          "response_item_id": "fc_function_oyekbytc0q5a_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"grep -i \\\"weixin\\\" /root/.hermes/logs/agent.log 2>/dev/null | grep \\\"2026-04-25\\\" | tail -10\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"2026-04-25 04:00:43,308 INFO gateway.run: Session expiry: 1 sessions to flush (weixin:1)\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_oyekbytc0q5a_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThere's only one WeChat log entry on April 25th (at 04:00), and it's about session expiry - not about sending a message. This strongly suggests that the WeChat adapter's `send()` method was never called at 17:31 on April 25th.\n\nBut wait - the cron job says it ran and the content was generated. Let me check the cron job execution flow more carefully. How does the cron job deliver to WeChat?\n\nLooking at the delivery code, the cron job runner calls `deliver_to_platform()` which calls `adapter.send()`. But maybe the issue is that the cron job was executed through a different code path that doesn't use the delivery mechanism.\n\nActually, let me re-read the cron job entry:\n- `skill`: null\n- `skills`: []\n- `deliver`: \"weixin:o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat\"\n\nSo the delivery target is set to WeChat. But the cron job runs in a separate agent session. Let me check how the cron job output is delivered.\n\nActually, looking at the `last_run_at` being set to `2026-04-25T17:31:14.079626+08:00` and `last_status: ok`, this means the cron job completed successfully. But the delivery to WeChat might have silently failed.\n\nLet me check if there's a way to see the delivery result more clearly. The issue is that the delivery mechanism catches exceptions but doesn't check `SendResult.success`. So even if `SendResult(success=False)` is returned, the cron job status would still be \"ok\".\n\nLet me try to manually trigger the WeChat send through the gateway to see if it works.\n</think>\n<think>\nThere's only one WeChat log entry on April 25th (at 04:00), and it's about session expiry - not about sending a message. This strongly suggests that the WeChat adapter's `send()` method was never called at 17:31 on April 25th.\n\nBut wait - the cron job says it ran and the content was generated. Let me check the cron job execution flow more carefully. How does the cron job deliver to WeChat?\n\nLooking at the delivery code, the cron job runner calls `deliver_to_platform()` which calls `adapter.send()`. But maybe the issue is that the cron job was executed through a different code path that doesn't use the delivery mechanism.\n\nActually, let me re-read the cron job entry:\n- `skill`: null\n- `skills`: []\n- `deliver`: \"weixin:o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat\"\n\nSo the delivery target is set to WeChat. But the cron job runs in a separate agent session. Let me check how the cron job output is delivered.\n\nActually, looking at the `last_run_at` being set to `2026-04-25T17:31:14.079626+08:00` and `last_status: ok`, this means the cron job completed successfully. But the delivery to WeChat might have silently failed.\n\nLet me check if there's a way to see the delivery result more clearly. The issue is that the delivery mechanism catches exceptions but doesn't check `SendResult.success`. So even if `SendResult(success=False)` is returned, the cron job status would still be \"ok\".\n\nLet me try to manually trigger the WeChat send through the gateway to see if it works.\n</think>\n亮查了一圈，发现问题了——**昨日17:31前后，gateway日志中没有任何微信投递记录**。cron job 报 \"ok\" 只能说明 AI 任务跑完了，不代表微信真的收到。问题很可能是：**微信适配器根本没连接，或 Token 失效**。\n\n让亮直接测试微信通道是否通畅，先通过 cron 手动触发一次，同时观察日志：",
      "reasoning": "There's only one WeChat log entry on April 25th (at 04:00), and it's about session expiry - not about sending a message. This strongly suggests that the WeChat adapter's `send()` method was never called at 17:31 on April 25th.\n\nBut wait - the cron job says it ran and the content was generated. Let me check the cron job execution flow more carefully. How does the cron job deliver to WeChat?\n\nLooking at the delivery code, the cron job runner calls `deliver_to_platform()` which calls `adapter.send()`. But maybe the issue is that the cron job was executed through a different code path that doesn't use the delivery mechanism.\n\nActually, let me re-read the cron job entry:\n- `skill`: null\n- `skills`: []\n- `deliver`: \"weixin:o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat\"\n\nSo the delivery target is set to WeChat. But the cron job runs in a separate agent session. Let me check how the cron job output is delivered.\n\nActually, looking at the `last_run_at` being set to `2026-04-25T17:31:14.079626+08:00` and `last_status: ok`, this means the cron job completed successfully. But the delivery to WeChat might have silently failed.\n\nLet me check if there's a way to see the delivery result more clearly. The issue is that the delivery mechanism catches exceptions but doesn't check `SendResult.success`. So even if `SendResult(success=False)` is returned, the cron job status would still be \"ok\".\n\nLet me try to manually trigger the WeChat send through the gateway to see if it works.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_4p1wsm4rfqty_1",
          "call_id": "call_function_4p1wsm4rfqty_1",
          "response_item_id": "fc_function_4p1wsm4rfqty_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"cd /root/.hermes && tail -f logs/agent.log 2>/dev/null &\\nsleep 2 && kill %1 2>/dev/null; true\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"2026-04-25 04:01:27,315 INFO [20260424_181739_c4f5bc] gateway.run: Pre-reset memory flush completed for session 20260424_181739_c4f5bc\\n2026-04-25 04:01:27,320 INFO gateway.run: Session expiry done: 1 flushed\\n2026-04-25 17:30:11,406 INFO agent.auxiliary_client: Vision auto-detect: using active provider minimax (minimax-m2.7)\\n2026-04-26 03:00:16,495 INFO agent.auxiliary_client: Vision auto-detect: using active provider minimax (minimax-m2.7)\\n2026-04-26 17:17:42,367 INFO gateway.platforms.weixin: [Weixin] inbound from=o9cq801Q type=dm media=0\\n2026-04-26 17:17:42,491 INFO gateway.run: inbound message: platform=weixin user=o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat chat=o9cq801Q4BDVa20m46H0KTKRUOjo@im.wechat msg='为什么昨天没有推送喷嚏网总结'\\n2026-04-26 17:17:44,334 INFO [20260424_181739_c4f5bc] agent.auxiliary_client: Vision auto-detect: using active provider minimax (minimax-m2.7)\\n2026-04-26 17:18:45,432 INFO agent.auxiliary_client: Vision auto-detect: using active provider minimax (minimax-m2.7)\\n2026-04-26 17:18:52,261 INFO gateway.platforms.weixin: [Weixin] inbound from=o9cq801Q type=dm media=0\\n2026-04-26 17:18:52,843 INFO agent.auxiliary_client: Vision auto-detect: using active provider minimax (minimax-m2.7)\\n2026-04-26 17:30:32,028 INFO agent.auxiliary_client: Vision auto-detect: using active provider minimax (minimax-m2.7)\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_4p1wsm4rfqty_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nLooking at the log, I can see:\n1. There's a WeChat message from the user at 17:17:42 asking \"为什么昨天没有推送喷嚏网总结\" - this is the current conversation\n2. There's a log entry at 17:30:32 of \"Vision auto-detect\" - this is when I ran the cron job manually\n3. There's NO log entry of \"[Weixin] send\" or any outbound WeChat message around 17:30 today\n\nBut more importantly - I see at 17:17:42 there was an inbound WeChat message from the user. So the WeChat adapter IS receiving messages. But when I ran the cron job at 17:30, there was no outbound send logged.\n\n\nThe current session IS receiving messages through WeChat, so the adapter is definitely connected for inbound traffic. But there's no evidence of any outbound sends happening. When I triggered the cron job earlier, it showed \"ok\" but didn't actually generate a delivery record, and running it again just now produced another \"ok\" status without any actual send operation.\n\nLooking at the job's `last_run_at` timestamp from April 25th at 17:31, combined with the lack of any delivery error in the logs, I'm starting to think the cron job is genuinely completing its task but failing silently when it tries to send the results to WeChat. Let me check if the WeChat token is still valid, since expired credentials would cause the send to fail without raising an obvious error.\n</think>\n微信适配器在17:17时还在接收用户消息（说明连接正常），但让亮确认一下 token 是否还有效：",
      "reasoning": "Looking at the log, I can see:\n1. There's a WeChat message from the user at 17:17:42 asking \"为什么昨天没有推送喷嚏网总结\" - this is the current conversation\n2. There's a log entry at 17:30:32 of \"Vision auto-detect\" - this is when I ran the cron job manually\n3. There's NO log entry of \"[Weixin] send\" or any outbound WeChat message around 17:30 today\n\nBut more importantly - I see at 17:17:42 there was an inbound WeChat message from the user. So the WeChat adapter IS receiving messages. But when I ran the cron job at 17:30, there was no outbound send logged.\n\n\nThe current session IS receiving messages through WeChat, so the adapter is definitely connected for inbound traffic. But there's no evidence of any outbound sends happening. When I triggered the cron job earlier, it showed \"ok\" but didn't actually generate a delivery record, and running it again just now produced another \"ok\" status without any actual send operation.\n\nLooking at the job's `last_run_at` timestamp from April 25th at 17:31, combined with the lack of any delivery error in the logs, I'm starting to think the cron job is genuinely completing its task but failing silently when it tries to send the results to WeChat. Let me check if the WeChat token is still valid, since expired credentials would cause the send to fail without raising an obvious error.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_v7cse9t5xnhp_1",
          "call_id": "call_function_v7cse9t5xnhp_1",
          "response_item_id": "fc_function_v7cse9t5xnhp_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"cd /root/.hermes && grep -i \\\"WEIXIN_TOKEN\\\" .env 2>/dev/null | sed 's/./*****/3g'\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"WE*********************************************************************************************************************************************************************************************************************************************************************************************************************************************************\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_v7cse9t5xnhp_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe token seems to be truncated in the output. Let me check the actual token value without the sed masking.Actually, let me try a different approach - let me check if the WeChat token is valid by checking if the WeChat adapter can connect.\n\nActually, since the user IS receiving messages right now through WeChat, the connection is clearly working. The issue must be something else.\n\nLet me think about this differently. Looking at the cron job's last_run:\n- `last_run_at`: \"2026-04-25T17:31:14.079626+08:00\"\n- `last_status`: \"ok\"\n- `last_delivery_error`: null\n\nAnd the output file was created at \"Apr 25 17:31\". So the cron job DID run on April 25th at 17:31.\n\n\nBut there are no delivery logs from that time. The real issue might be that when the cron job ran, it generated the output file and marked the status as \"ok\" based on the AI task completing successfully, but the actual WeChat delivery could have failed silently without proper error reporting. Let me check the cron scheduler's delivery code to understand how the delivery status gets determined.\n</think>\n让亮直接追踪一下昨日的投递链路，看看 delivery 结果：",
      "reasoning": "The token seems to be truncated in the output. Let me check the actual token value without the sed masking.Actually, let me try a different approach - let me check if the WeChat token is valid by checking if the WeChat adapter can connect.\n\nActually, since the user IS receiving messages right now through WeChat, the connection is clearly working. The issue must be something else.\n\nLet me think about this differently. Looking at the cron job's last_run:\n- `last_run_at`: \"2026-04-25T17:31:14.079626+08:00\"\n- `last_status`: \"ok\"\n- `last_delivery_error`: null\n\nAnd the output file was created at \"Apr 25 17:31\". So the cron job DID run on April 25th at 17:31.\n\n\nBut there are no delivery logs from that time. The real issue might be that when the cron job ran, it generated the output file and marked the status as \"ok\" based on the AI task completing successfully, but the actual WeChat delivery could have failed silently without proper error reporting. Let me check the cron scheduler's delivery code to understand how the delivery status gets determined.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_5smkpmlwlj2q_1",
          "call_id": "call_function_5smkpmlwlj2q_1",
          "response_item_id": "fc_function_5smkpmlwlj2q_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"find /root/.hermes -name \\\"*.json\\\" -newer /root/.hermes/cron/output/5063251e7794/2026-04-25_17-31-13.md 2>/dev/null | head -5\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"/root/.hermes/cron/jobs.json\\n/root/.hermes/sessions/sessions.json\\n/root/.hermes/sessions/session_cron_c933d9df59f5_20260426_030015.json\\n/root/.hermes/sessions/session_20260426_171742_009b6ea7.json\\n/root/.hermes/sessions/session_cron_5063251e7794_20260426_173031.json\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_5smkpmlwlj2q_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nI see there's a session file for the cron job that ran today (20260426_173031), but not for the one that ran on April 25th. Let me look at the session files to see if there's any delivery information.\n\nActually, let me look at the cron job's jobs.json to see the last_run details.\n</think>\n<think>\nI see there's a session file for the cron job that ran today (20260426_173031), but not for the one that ran on April 25th. Let me look at the session files to see if there's any delivery information.\n\nActually, let me look at the cron job's jobs.json to see the last_run details.\n</think>",
      "reasoning": "I see there's a session file for the cron job that ran today (20260426_173031), but not for the one that ran on April 25th. Let me look at the session files to see if there's any delivery information.\n\nActually, let me look at the cron job's jobs.json to see the last_run details.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_kl0g4k6phv22_1",
          "call_id": "call_function_kl0g4k6phv22_1",
          "response_item_id": "fc_function_kl0g4k6phv22_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"cat /root/.hermes/cron/jobs.json | python3 -c \\\"import json,sys; d=json.load(sys.stdin); j=[x for x in d if x.get('job_id')=='5063251e7794']; print(json.dumps(j[0] if j else {}, indent=2))\\\"\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"Traceback (most recent call last):\\n  File \\\"<string>\\\", line 1, in <module>\\n  File \\\"<string>\\\", line 1, in <listcomp>\\nAttributeError: 'str' object has no attribute 'get'\", \"exit_code\": 1, \"error\": null, \"approval\": \"Command required approval (Security scan — [HIGH] Pipe to interpreter: cat | python3: Command pipes output from 'cat' directly to interpreter 'python3'. Downloaded content will be executed without inspection.) and was approved by the user.\"}",
      "tool_call_id": "call_function_kl0g4k6phv22_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nLet me try a different approach.\n</think>\n<think>\nLet me try a different approach.\n</think>\n<think>\nLet me try a different approach.\n</think>",
      "reasoning": "Let me try a different approach.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_hriygw4v9maq_1",
          "call_id": "call_function_hriygw4v9maq_1",
          "response_item_id": "fc_function_hriygw4v9maq_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"python3 -c \\\"\\nimport json\\nwith open('/root/.hermes/cron/jobs.json') as f:\\n    data = json.load(f)\\nfor item in data:\\n    if isinstance(item, dict) and item.get('job_id') == '5063251e7794':\\n        print(json.dumps(item, indent=2))\\n        break\\n\\\" 2>&1 | head -30\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_hriygw4v9maq_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe jobs.json might have a different structure. Let me check the session file for the cron job to see what happened during the last run.\n</think>\n<think>\nThe jobs.json might have a different structure. Let me check the session file for the cron job to see what happened during the last run.\n</think>\n<think>\nThe jobs.json might have a different structure. Let me check the session file for the cron job to see what happened during the last run.\n</think>\n<think>\nThe jobs.json might have a different structure. Let me check the session file for the cron job to see what happened during the last run.\n</think>",
      "reasoning": "The jobs.json might have a different structure. Let me check the session file for the cron job to see what happened during the last run.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_rcrghoqorqgs_1",
          "call_id": "call_function_rcrghoqorqgs_1",
          "response_item_id": "fc_function_rcrghoqorqgs_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"ls -la /root/.hermes/sessions/ | grep 5063251e7794\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"-rw-------  1 root root 314808 Apr 14 16:53 session_cron_5063251e7794_20260414_164241.json\\n-rw-------  1 root root 181692 Apr 15 16:57 session_cron_5063251e7794_20260415_165032.json\\n-rw-------  1 root root 181428 Apr 15 17:09 session_cron_5063251e7794_20260415_170716.json\\n-rw-------  1 root root 221815 Apr 16 17:00 session_cron_5063251e7794_20260416_165036.json\\n-rw-------  1 root root 266010 Apr 17 17:02 session_cron_5063251e7794_20260417_165033.json\\n-rw-------  1 root root 165981 Apr 18 16:53 session_cron_5063251e7794_20260418_165100.json\\n-rw-------  1 root root 172696 Apr 19 16:56 session_cron_5063251e7794_20260419_165027.json\\n-rw-------  1 root root 162511 Apr 20 16:55 session_cron_5063251e7794_20260420_165040.json\\n-rw-------  1 root root 146705 Apr 21 16:54 session_cron_5063251e7794_20260421_165000.json\\n-rw-------  1 root root 147411 Apr 22 16:54 session_cron_5063251e7794_20260422_165022.json\\n-rw-------  1 root root 139471 Apr 22 19:45 session_cron_5063251e7794_20260422_194403.json\\n-rw-------  1 root root 219068 Apr 23 16:55 session_cron_5063251e7794_20260423_165048.json\\n-rw-------  1 root root  96505 Apr 23 17:00 session_cron_5063251e7794_20260423_165939.json\\n-rw-------  1 root root 125003 Apr 23 17:31 session_cron_5063251e7794_20260423_173028.json\\n-rw-------  1 root root 143391 Apr 24 17:31 session_cron_5063251e7794_20260424_173039.json\\n-rw-------  1 root root 118533 Apr 24 17:34 session_cron_5063251e7794_20260424_173409.json\\n-rw-------  1 root root  93432 Apr 24 17:42 session_cron_5063251e7794_20260424_174132.json\\n-rw-------  1 root root  93605 Apr 24 17:49 session_cron_5063251e7794_20260424_174905.json\\n-rw-------  1 root root  93691 Apr 24 18:20 session_cron_5063251e7794_20260424_181931.json\\n-rw-------  1 root root 107526 Apr 25 17:31 session_cron_5063251e7794_20260425_173009.json\\n-rw-------  1 root root  94757 Apr 26 17:19 session_cron_5063251e7794_20260426_171845.json\\n-rw-------  1 root root  95860 Apr 26 17:31 session_cron_5063251e7794_20260426_173031.json\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_rcrghoqorqgs_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThere's a session file for April 25th at 17:31 (`session_cron_5063251e7794_20260425_173009.json`). Let me look at this session file to see what happened during the delivery.\n\nBut wait - the session file is for the AI agent that ran the task. The delivery happens AFTER the agent completes. So the session file might not contain delivery information.\n\nLet me look at the session file anyway to see what the AI agent produced, and then check if there's a separate delivery record.\n\nActually, let me think about this differently. The cron job's `last_status: ok` means the job completed. The `last_delivery_error: null` might mean:\n1. The delivery was successful (error is null because there was no error)\n2. The delivery mechanism doesn't track errors properly\n\nLooking at the delivery code again:\n```python\nresults[target.to_string()] = {\n    \"success\": True,\n    \"result\": result\n}\n```\n\nThe `success: True` is always set if no exception is raised. But the `SendResult` returned by `adapter.send()` might have `success=False` - and this is not checked!\n\nSo the bug is:\n1. The AI agent generates content\n2. The delivery mechanism calls `WeixinAdapter.send()` \n3. `WeixinAdapter.send()` returns `SendResult(success=False, error=\"Not connected\")` (or similar)\n\n\n4. The delivery mechanism catches no exception and sets `success: True`\n5. The cron job status is updated to `ok` with `last_delivery_error: null`\n\nThis is a real bug in the delivery mechanism - it doesn't check `SendResult.success`. But I need to verify that the WeChat adapter actually failed. Let me check the April 25th session file to see if there's any indication of what happened.\n</think>\n<think>\nThere's a session file for April 25th at 17:31 (`session_cron_5063251e7794_20260425_173009.json`). Let me look at this session file to see what happened during the delivery.\n\nBut wait - the session file is for the AI agent that ran the task. The delivery happens AFTER the agent completes. So the session file might not contain delivery information.\n\nLet me look at the session file anyway to see what the AI agent produced, and then check if there's a separate delivery record.\n\nActually, let me think about this differently. The cron job's `last_status: ok` means the job completed. The `last_delivery_error: null` might mean:\n1. The delivery was successful (error is null because there was no error)\n2. The delivery mechanism doesn't track errors properly\n\nLooking at the delivery code again:\n```python\nresults[target.to_string()] = {\n    \"success\": True,\n    \"result\": result\n}\n```\n\nThe `success: True` is always set if no exception is raised. But the `SendResult` returned by `adapter.send()` might have `success=False` - and this is not checked!\n\nSo the bug is:\n1. The AI agent generates content\n2. The delivery mechanism calls `WeixinAdapter.send()` \n3. `WeixinAdapter.send()` returns `SendResult(success=False, error=\"Not connected\")` (or similar)\n4. The delivery mechanism catches no exception and sets `success: True`\n5. The cron job status is updated to `ok` with `last_delivery_error: null`\n\nThis is a real bug in the delivery mechanism - it doesn't check `SendResult.success`. But I need to verify that the WeChat adapter actually failed. Let me check the April 25th session file to see if there's any indication of what happened.\n</think>",
      "reasoning": "There's a session file for April 25th at 17:31 (`session_cron_5063251e7794_20260425_173009.json`). Let me look at this session file to see what happened during the delivery.\n\nBut wait - the session file is for the AI agent that ran the task. The delivery happens AFTER the agent completes. So the session file might not contain delivery information.\n\nLet me look at the session file anyway to see what the AI agent produced, and then check if there's a separate delivery record.\n\nActually, let me think about this differently. The cron job's `last_status: ok` means the job completed. The `last_delivery_error: null` might mean:\n1. The delivery was successful (error is null because there was no error)\n2. The delivery mechanism doesn't track errors properly\n\nLooking at the delivery code again:\n```python\nresults[target.to_string()] = {\n    \"success\": True,\n    \"result\": result\n}\n```\n\nThe `success: True` is always set if no exception is raised. But the `SendResult` returned by `adapter.send()` might have `success=False` - and this is not checked!\n\nSo the bug is:\n1. The AI agent generates content\n2. The delivery mechanism calls `WeixinAdapter.send()` \n3. `WeixinAdapter.send()` returns `SendResult(success=False, error=\"Not connected\")` (or similar)\n\n\n4. The delivery mechanism catches no exception and sets `success: True`\n5. The cron job status is updated to `ok` with `last_delivery_error: null`\n\nThis is a real bug in the delivery mechanism - it doesn't check `SendResult.success`. But I need to verify that the WeChat adapter actually failed. Let me check the April 25th session file to see if there's any indication of what happened.\n\nThere's a session file for April 25th at 17:31 (`session_cron_5063251e7794_20260425_173009.json`). Let me look at this session file to see what happened during the delivery.\n\nBut wait - the session file is for the AI agent that ran the task. The delivery happens AFTER the agent completes. So the session file might not contain delivery information.\n\nLet me look at the session file anyway to see what the AI agent produced, and then check if there's a separate delivery record.\n\nActually, let me think about this differently. The cron job's `last_status: ok` means the job completed. The `last_delivery_error: null` might mean:\n1. The delivery was successful (error is null because there was no error)\n2. The delivery mechanism doesn't track errors properly\n\nLooking at the delivery code again:\n```python\nresults[target.to_string()] = {\n    \"success\": True,\n    \"result\": result\n}\n```\n\nThe `success: True` is always set if no exception is raised. But the `SendResult` returned by `adapter.send()` might have `success=False` - and this is not checked!\n\nSo the bug is:\n1. The AI agent generates content\n2. The delivery mechanism calls `WeixinAdapter.send()` \n3. `WeixinAdapter.send()` returns `SendResult(success=False, error=\"Not connected\")` (or similar)\n4. The delivery mechanism catches no exception and sets `success: True`\n5. The cron job status is updated to `ok` with `last_delivery_error: null`\n\nThis is a real bug in the delivery mechanism - it doesn't check `SendResult.success`. But I need to verify that the WeChat adapter actually failed. Let me check the April 25th session file to see if there's any indication of what happened.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_ut10mx86v6e0_1",
          "call_id": "call_function_ut10mx86v6e0_1",
          "response_item_id": "fc_function_ut10mx86v6e0_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"python3 -c \\\"\\nimport json\\nwith open('/root/.hermes/sessions/session_cron_5063251e7794_20260425_173009.json') as f:\\n    data = json.load(f)\\n# Look for delivery-related info\\nmsgs = data.get('messages', [])\\nprint(f'Total messages: {len(msgs)}')\\nfor m in msgs[-5:]:\\n    role = m.get('role')\\n    if role == 'assistant':\\n        content = m.get('content', '')\\n        if isinstance(content, list):\\n            content = str(content[:2])\\n        print(f'Assistant: {content[:200]}')\\n\\\" 2>&1 | head -30\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"Total messages: 10\\nAssistant: <think>\\nLet me take a snapshot to see the article content.\\n</think>\\nAssistant: <think>\\nThe snapshot seems to be showing the index page still. Let me try navigating directly to the article URL.\\n</think>\\nAssistant: <think>\\nNow I have the full article content. Let me extract the key points and generate a summary.\\n\\nThe article is 【喷嚏图卦20260425】流散人员, published on 2026-04-25.\\n\\nKey points from the article:\\n1. 有人走私尿素钾\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_ut10mx86v6e0_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nOK so the session file shows the AI agent doing its work (generating the summary). The session file is just the AI conversation, not the delivery result.Let me think about this problem from a different angle. Since I can't easily see the delivery result, let me just try to manually send a test message to WeChat and see if it works.Actually, I just realized - I can send a message through the WeChat channel because the gateway is running and the user is chatting with me right now! Let me try to send a test message using the gateway's internal mechanism.Actually wait - I don't have a direct \"send_message\" tool. But the user is chatting with me through WeChat right now, so I know the inbound path works. Let me just reply to this user through the normal chat mechanism and see if they receive it.But that's what I'm already doing! The user is asking me why they didn't receive the push yesterday, and I'm replying right now. So the WeChat channel IS working for sending messages TO the user.\n\nHmm, but this conversation is going through the normal chat path, not through the cron delivery path. The cron delivery might use a different code path.Let me check the cron delivery code more carefully to understand how it sends to WeChat.\n\nActually, let me just accept that there's something wrong with the delivery mechanism and focus on fixing it. The issue is likely that:1. The `SendResult` returned by `WeixinAdapter.send()` has `success=False` but no exception is raised\n2. The delivery mechanism doesn't check `SendResult.success`, so it reports \"ok\" even though the send failed\n\nI should fix the delivery mechanism to check `SendResult.success`. But first, let me confirm my hypothesis by checking if the WeChat adapter's `send()` method is actually being called during cron job execution.\n</think>\n<think>\nOK so the session file shows the AI agent doing its work (generating the summary). The session file is just the AI conversation, not the delivery result.Let me think about this problem from a different angle. Since I can't easily see the delivery result, let me just try to manually send a test message to WeChat and see if it works.Actually, I just realized - I can send a message through the WeChat channel because the gateway is running and the user is chatting with me right now! Let me try to send a test message using the gateway's internal mechanism.Actually wait - I don't have a direct \"send_message\" tool. But the user is chatting with me through WeChat right now, so I know the inbound path works. Let me just reply to this user through the normal chat mechanism and see if they receive it.But that's what I'm already doing! The user is asking me why they didn't receive the push yesterday, and I'm replying right now. So the WeChat channel IS working for sending messages TO the user.\n\nHmm, but this conversation is going through the normal chat path, not through the cron delivery path. The cron delivery might use a different code path.Let me check the cron delivery code more carefully to understand how it sends to WeChat.\n\nActually, let me just accept that there's something wrong with the delivery mechanism and focus on fixing it. The issue is likely that:1. The `SendResult` returned by `WeixinAdapter.send()` has `success=False` but no exception is raised\n2. The delivery mechanism doesn't check `SendResult.success`, so it reports \"ok\" even though the send failed\n\nI should fix the delivery mechanism to check `SendResult.success`. But first, let me confirm my hypothesis by checking if the WeChat adapter's `send()` method is actually being called during cron job execution.\n</think>\n亮现在通过 WeChat 正常接收消息，说明通道是通的。但 **cron 投递用的是另一条代码路径**。问题很可能是：`WeixinAdapter.send()` 返回了 `success=False`，但投递代码没有检查这个返回值，直接报了 \"ok\"。\n\n亮先把这个 bug 修一下，然后立刻给主公重发昨日的喷嚏网总结：",
      "reasoning": "OK so the session file shows the AI agent doing its work (generating the summary). The session file is just the AI conversation, not the delivery result.Let me think about this problem from a different angle. Since I can't easily see the delivery result, let me just try to manually send a test message to WeChat and see if it works.Actually, I just realized - I can send a message through the WeChat channel because the gateway is running and the user is chatting with me right now! Let me try to send a test message using the gateway's internal mechanism.Actually wait - I don't have a direct \"send_message\" tool. But the user is chatting with me through WeChat right now, so I know the inbound path works. Let me just reply to this user through the normal chat mechanism and see if they receive it.But that's what I'm already doing! The user is asking me why they didn't receive the push yesterday, and I'm replying right now. So the WeChat channel IS working for sending messages TO the user.\n\nHmm, but this conversation is going through the normal chat path, not through the cron delivery path. The cron delivery might use a different code path.Let me check the cron delivery code more carefully to understand how it sends to WeChat.\n\nActually, let me just accept that there's something wrong with the delivery mechanism and focus on fixing it. The issue is likely that:1. The `SendResult` returned by `WeixinAdapter.send()` has `success=False` but no exception is raised\n2. The delivery mechanism doesn't check `SendResult.success`, so it reports \"ok\" even though the send failed\n\nI should fix the delivery mechanism to check `SendResult.success`. But first, let me confirm my hypothesis by checking if the WeChat adapter's `send()` method is actually being called during cron job execution.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_uwuh9shmn1ja_1",
          "call_id": "call_function_uwuh9shmn1ja_1",
          "response_item_id": "fc_function_uwuh9shmn1ja_1",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"path\": \"/root/.hermes/hermes-agent/gateway/delivery.py\", \"offset\": 145, \"limit\": 30}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"content\": \"   145|        Returns:\\n   146|            Dict with delivery results per target\\n   147|        \\\"\\\"\\\"\\n   148|        results = {}\\n   149|        \\n   150|        for target in targets:\\n   151|            try:\\n   152|                if target.platform == Platform.LOCAL:\\n   153|                    result = self._deliver_local(content, job_id, job_name, metadata)\\n   154|                else:\\n   155|                    result = await self._deliver_to_platform(target, content, metadata)\\n   156|                \\n   157|                results[target.to_string()] = {\\n   158|                    \\\"success\\\": True,\\n   159|                    \\\"result\\\": result\\n   160|                }\\n   161|            except Exception as e:\\n   162|                results[target.to_string()] = {\\n   163|                    \\\"success\\\": False,\\n   164|                    \\\"error\\\": str(e)\\n   165|                }\\n   166|        \\n   167|        return results\\n   168|    \\n   169|    def _deliver_local(\\n   170|        self,\\n   171|        content: str,\\n   172|        job_id: Optional[str],\\n   173|        job_name: Optional[str],\\n   174|        metadata: Optional[Dict[str, Any]]\\n   175|\", \"total_lines\": 256, \"file_size\": 8549, \"truncated\": true, \"hint\": \"Use offset=175 to continue reading (showing 145-174 of 256 lines)\", \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_function_uwuh9shmn1ja_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nI see the issue. The `_deliver_to_platform` method returns a `SendResult` object (or a dict), but the delivery code at line 155-160 just passes this through as the result without checking if `SendResult.success` is False.\n\nThe fix should be to check the result's `success` field. But `SendResult` is a dataclass, and the result might be a dict. Let me look at the `_deliver_to_platform` method to see what it returns.\n</think>\n<think>\nI see the issue. The `_deliver_to_platform` method returns a `SendResult` object (or a dict), but the delivery code at line 155-160 just passes this through as the result without checking if `SendResult.success` is False.\n\nThe fix should be to check the result's `success` field. But `SendResult` is a dataclass, and the result might be a dict. Let me look at the `_deliver_to_platform` method to see what it returns.\n</think>",
      "reasoning": "I see the issue. The `_deliver_to_platform` method returns a `SendResult` object (or a dict), but the delivery code at line 155-160 just passes this through as the result without checking if `SendResult.success` is False.\n\nThe fix should be to check the result's `success` field. But `SendResult` is a dataclass, and the result might be a dict. Let me look at the `_deliver_to_platform` method to see what it returns.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_guuq5kqovj5i_1",
          "call_id": "call_function_guuq5kqovj5i_1",
          "response_item_id": "fc_function_guuq5kqovj5i_1",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\": 40, \"offset\": 224, \"path\": \"/root/.hermes/hermes-agent/gateway/delivery.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"content\": \"   224|    async def _deliver_to_platform(\\n   225|        self,\\n   226|        target: DeliveryTarget,\\n   227|        content: str,\\n   228|        metadata: Optional[Dict[str, Any]]\\n   229|    ) -> Dict[str, Any]:\\n   230|        \\\"\\\"\\\"Deliver content to a messaging platform.\\\"\\\"\\\"\\n   231|        adapter = self.adapters.get(target.platform)\\n   232|        \\n   233|        if not adapter:\\n   234|            raise ValueError(f\\\"No adapter configured for {target.platform.value}\\\")\\n   235|        \\n   236|        if not target.chat_id:\\n   237|            raise ValueError(f\\\"No chat ID for {target.platform.value} delivery\\\")\\n   238|        \\n   239|        # Guard: truncate oversized cron output to stay within platform limits\\n   240|        if len(content) > MAX_PLATFORM_OUTPUT:\\n   241|            job_id = (metadata or {}).get(\\\"job_id\\\", \\\"unknown\\\")\\n   242|            saved_path = self._save_full_output(content, job_id)\\n   243|            logger.info(\\\"Cron output truncated (%d chars) — full output: %s\\\", len(content), saved_path)\\n   244|            content = (\\n   245|                content[:TRUNCATED_VISIBLE]\\n   246|                + f\\\"\\\\n\\\\n... [truncated, full output saved to {saved_path}]\\\"\\n   247|            )\\n   248|        \\n   249|        send_metadata = dict(metadata or {})\\n   250|        if target.thread_id and \\\"thread_id\\\" not in send_metadata:\\n   251|            send_metadata[\\\"thread_id\\\"] = target.thread_id\\n   252|        return await adapter.send(target.chat_id, content, metadata=send_metadata or None)\\n   253|\\n   254|\\n   255|\\n   256|\\n   257|\", \"total_lines\": 256, \"file_size\": 8549, \"truncated\": false, \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_function_guuq5kqovj5i_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nThe `_deliver_to_platform` method calls `adapter.send()` which returns a `SendResult` object. The delivery code at line 155 passes this through without checking `SendResult.success`.The fix should modify the code around line 155-160 to check if the result has `success=False`.Let me also check what `SendResult` looks like:\n</think>\n<think>\nThe `_deliver_to_platform` method calls `adapter.send()` which returns a `SendResult` object. The delivery code at line 155 passes this through without checking `SendResult.success`.The fix should modify the code around line 155-160 to check if the result has `success=False`.Let me also check what `SendResult` looks like:\n</think>\n<think>\nThe `_deliver_to_platform` method calls `adapter.send()` which returns a `SendResult` object. The delivery code at line 155 passes this through without checking `SendResult.success`.The fix should modify the code around line 155-160 to check if the result has `success=False`.Let me also check what `SendResult` looks like:\n</think>",
      "reasoning": "The `_deliver_to_platform` method calls `adapter.send()` which returns a `SendResult` object. The delivery code at line 155 passes this through without checking `SendResult.success`.The fix should modify the code around line 155-160 to check if the result has `success=False`.Let me also check what `SendResult` looks like:",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_177zm5vbph9i_1",
          "call_id": "call_function_177zm5vbph9i_1",
          "response_item_id": "fc_function_177zm5vbph9i_1",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"path\": \"/root/.hermes/hermes-agent/gateway\", \"pattern\": \"class SendResult\\\\|dataclass.*SendResult\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"total_count\": 0}",
      "tool_call_id": "call_function_177zm5vbph9i_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nLet me search for SendResult in the codebase.\n</think>\n<think>\nLet me search for SendResult in the codebase.\n</think>\n<think>\nLet me search for SendResult in the codebase.\n</think>\n<think>\nLet me search for SendResult in the codebase.\n</think>",
      "reasoning": "Let me search for SendResult in the codebase.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_h9ezx2x3nea9_1",
          "call_id": "call_function_h9ezx2x3nea9_1",
          "response_item_id": "fc_function_h9ezx2x3nea9_1",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"path\": \"/root/.hermes/hermes-agent\", \"pattern\": \"SendResult\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"total_count\": 0}",
      "tool_call_id": "call_function_h9ezx2x3nea9_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nHmm, SendResult is not found. Let me search for it in a different way.\n</think>\n<think>\nHmm, SendResult is not found. Let me search for it in a different way.\n</think>\n<think>\nHmm, SendResult is not found. Let me search for it in a different way.\n</think>\n<think>\nHmm, SendResult is not found. Let me search for it in a different way.\n</think>",
      "reasoning": "Hmm, SendResult is not found. Let me search for it in a different way.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_1vhsc0tzetgi_1",
          "call_id": "call_function_1vhsc0tzetgi_1",
          "response_item_id": "fc_function_1vhsc0tzetgi_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"grep -r \\\"SendResult\\\" /root/.hermes/hermes-agent/ 2>/dev/null | head -5\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"/root/.hermes/hermes-agent/gateway/platforms/ADDING_A_PLATFORM.md:| `send(chat_id, text, ...) -> SendResult` | Send a text message |\\n/root/.hermes/hermes-agent/gateway/platforms/ADDING_A_PLATFORM.md:| `send_image(chat_id, image_url, caption) -> SendResult` | Send an image |\\n/root/.hermes/hermes-agent/gateway/platforms/ADDING_A_PLATFORM.md:- Use `MessageEvent`, `MessageType`, `SendResult` from base\\n/root/.hermes/hermes-agent/gateway/platforms/__init__.py:from .base import BasePlatformAdapter, MessageEvent, SendResult\\n/root/.hermes/hermes-agent/gateway/platforms/__init__.py:    \\\"SendResult\\\",\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_1vhsc0tzetgi_1"
    },
    {
      "role": "assistant",
      "content": "<think>\n`SendResult` is imported from `gateway.platforms.base`. Let me check that file to understand the structure.\n</think>\n<think>\n`SendResult` is imported from `gateway.platforms.base`. Let me check that file to understand the structure.\n</think>\n<think>\n`SendResult` is imported from `gateway.platforms.base`. Let me check that file to understand the structure.\n</think>\n<think>\n`SendResult` is imported from `gateway.platforms.base`. Let me check that file to understand the structure.\n</think>\n<think>\n`SendResult` is imported from `gateway.platforms.base`. Let me check that file to understand the structure.\n</think>",
      "reasoning": "`SendResult` is imported from `gateway.platforms.base`. Let me check that file to understand the structure.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_xaqthhdh332j_1",
          "call_id": "call_function_xaqthhdh332j_1",
          "response_item_id": "fc_function_xaqthhdh332j_1",
          "type": "function",
          "function": {
            "name": "search_files",
            "arguments": "{\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\", \"pattern\": \"class SendResult\\\\|SendResult\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"total_count\": 14, \"matches\": [{\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 720, \"content\": \"class SendResult:\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 761, \"content\": \"# SendResult.retryable = True explicitly.\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 963, \"content\": \"    ) -> SendResult:\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 974, \"content\": \"            SendResult with success status and message ID\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 983, \"content\": \"    ) -> SendResult:\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 989, \"content\": \"        return SendResult(success=False, error=\\\"Not supported\\\")\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1015, \"content\": \"    ) -> SendResult:\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1034, \"content\": \"    ) -> SendResult:\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1105, \"content\": \"    ) -> SendResult:\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1123, \"content\": \"    ) -> SendResult:\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1139, \"content\": \"    ) -> SendResult:\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1159, \"content\": \"    ) -> SendResult:\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1178, \"content\": \"    ) -> SendResult:\"}, {\"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\", \"line\": 1392, \"content\": \"    ) -> \\\"SendResult\\\":\"}]}",
      "tool_call_id": "call_function_xaqthhdh332j_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nLet me look at the `SendResult` class definition at line 720.\n</think>\n<think>\nLet me look at the `SendResult` class definition at line 720.\n</think>\n<think>\nLet me look at the `SendResult` class definition at line 720.\n</think>\n<think>\nLet me look at the `SendResult` class definition at line 720.\n</think>\n<think>\nLet me look at the `SendResult` class definition at line 720.\n</think>\n<think>\nLet me look at the `SendResult` class definition at line 720.\n</think>",
      "reasoning": "Let me look at the `SendResult` class definition at line 720.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_85zk14c1z99e_1",
          "call_id": "call_function_85zk14c1z99e_1",
          "response_item_id": "fc_function_85zk14c1z99e_1",
          "type": "function",
          "function": {
            "name": "read_file",
            "arguments": "{\"limit\": 30, \"offset\": 720, \"path\": \"/root/.hermes/hermes-agent/gateway/platforms/base.py\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"content\": \"   720|class SendResult:\\n   721|    \\\"\\\"\\\"Result of sending a message.\\\"\\\"\\\"\\n   722|    success: bool\\n   723|    message_id: Optional[str] = None\\n   724|    error: Optional[str] = None\\n   725|    raw_response: Any = None\\n   726|    retryable: bool = False  # True for transient connection errors — base will retry automatically\\n   727|\\n   728|\\n   729|def merge_pending_message_event(\\n   730|    pending_messages: Dict[str, MessageEvent],\\n   731|    session_key: str,\\n   732|    event: MessageEvent,\\n   733|) -> None:\\n   734|    \\\"\\\"\\\"Store or merge a pending event for a session.\\n   735|\\n   736|    Photo bursts/albums often arrive as multiple near-simultaneous PHOTO\\n   737|    events. Merge those into the existing queued event so the next turn sees\\n   738|    the whole burst, while non-photo follow-ups still replace the pending\\n   739|    event normally.\\n   740|    \\\"\\\"\\\"\\n   741|    existing = pending_messages.get(session_key)\\n   742|    if (\\n   743|        existing\\n   744|        and getattr(existing, \\\"message_type\\\", None) == MessageType.PHOTO\\n   745|        and event.message_type == MessageType.PHOTO\\n   746|    ):\\n   747|        existing.media_urls.extend(event.media_urls)\\n   748|        existing.media_types.extend(event.media_types)\\n   749|        if event.text:\\n   750|\", \"total_lines\": 2071, \"file_size\": 82249, \"truncated\": true, \"hint\": \"Use offset=750 to continue reading (showing 720-749 of 2071 lines)\", \"is_binary\": false, \"is_image\": false}",
      "tool_call_id": "call_function_85zk14c1z99e_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nSo `SendResult` is a simple dataclass-like class with `success`, `message_id`, `error`, and `retryable` fields. The delivery code should check `result.success` after calling `adapter.send()`.\n\nNow let me fix the delivery code. The issue is in `_deliver_to_platform` which returns the raw `SendResult`, and then the caller just sets `success: True` without checking the actual success field.\n\nLet me look at how the delivery results are processed after `_deliver_batch` returns. I need to find where the `last_status` and `last_delivery_error` are set.\n</think>\n<think>\nSo `SendResult` is a simple dataclass-like class with `success`, `message_id`, `error`, and `retryable` fields. The delivery code should check `result.success` after calling `adapter.send()`.\n\nNow let me fix the delivery code. The issue is in `_deliver_to_platform` which returns the raw `SendResult`, and then the caller just sets `success: True` without checking the actual success field.\n\nLet me look at how the delivery results are processed after `_deliver_batch` returns. I need to find where the `last_status` and `last_delivery_error` are set.\n</think>\n<think>\nSo `SendResult` is a simple dataclass-like class with `success`, `message_id`, `error`, and `retryable` fields. The delivery code should check `result.success` after calling `adapter.send()`.\n\nNow let me fix the delivery code. The issue is in `_deliver_to_platform` which returns the raw `SendResult`, and then the caller just sets `success: True` without checking the actual success field.\n\nLet me look at how the delivery results are processed after `_deliver_batch` returns. I need to find where the `last_status` and `last_delivery_error` are set.\n</think>\nNow亮明白问题所在了：`SendResult` 有 `success` 字段，但投递代码从不检查它。让亮修复这个问题：",
      "reasoning": "So `SendResult` is a simple dataclass-like class with `success`, `message_id`, `error`, and `retryable` fields. The delivery code should check `result.success` after calling `adapter.send()`.\n\nNow let me fix the delivery code. The issue is in `_deliver_to_platform` which returns the raw `SendResult`, and then the caller just sets `success: True` without checking the actual success field.\n\nLet me look at how the delivery results are processed after `_deliver_batch` returns. I need to find where the `last_status` and `last_delivery_error` are set.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_xlcllbcwjvqb_1",
          "call_id": "call_function_xlcllbcwjvqb_1",
          "response_item_id": "fc_function_xlcllbcwjvqb_1",
          "type": "function",
          "function": {
            "name": "patch",
            "arguments": "{\"path\": \"/root/.hermes/hermes-agent/gateway/delivery.py\", \"old_string\": \"        for target in targets:\\n            try:\\n                if target.platform == Platform.LOCAL:\\n                    result = self._deliver_local(content, job_id, job_name, metadata)\\n                else:\\n                    result = await self._deliver_to_platform(target, content, metadata)\\n                \\n                results[target.to_string()] = {\\n                    \\\"success\\\": True,\\n                    \\\"result\\\": result\\n                }\\n            except Exception as e:\\n                results[target.to_string()] = {\\n                    \\\"success\\\": False,\\n                    \\\"error\\\": str(e)\\n                }\", \"new_string\": \"        for target in targets:\\n            try:\\n                if target.platform == Platform.LOCAL:\\n                    result = self._deliver_local(content, job_id, job_name, metadata)\\n                    results[target.to_string()] = {\\\"success\\\": True, \\\"result\\\": result}\\n                else:\\n                    result = await self._deliver_to_platform(target, content, metadata)\\n                    # Check SendResult.success — adapter.send() returns SendResult, not an exception on failure\\n                    send_ok = getattr(result, \\\"success\\\", True)  # default True for dict results\\n                    if not send_ok:\\n                        err = getattr(result, \\\"error\\\", \\\"unknown delivery error\\\") or \\\"unknown delivery error\\\"\\n                        results[target.to_string()] = {\\\"success\\\": False, \\\"error\\\": err}\\n                    else:\\n                        results[target.to_string()] = {\\\"success\\\": True, \\\"result\\\": result}\\n            except Exception as e:\\n                results[target.to_string()] = {\\n                    \\\"success\\\": False,\\n                    \\\"error\\\": str(e)\\n                }\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"success\": true, \"diff\": \"--- a//root/.hermes/hermes-agent/gateway/delivery.py\\n+++ b//root/.hermes/hermes-agent/gateway/delivery.py\\n@@ -151,13 +151,16 @@\\n             try:\\n                 if target.platform == Platform.LOCAL:\\n                     result = self._deliver_local(content, job_id, job_name, metadata)\\n+                    results[target.to_string()] = {\\\"success\\\": True, \\\"result\\\": result}\\n                 else:\\n                     result = await self._deliver_to_platform(target, content, metadata)\\n-                \\n-                results[target.to_string()] = {\\n-                    \\\"success\\\": True,\\n-                    \\\"result\\\": result\\n-                }\\n+                    # Check SendResult.success — adapter.send() returns SendResult, not an exception on failure\\n+                    send_ok = getattr(result, \\\"success\\\", True)  # default True for dict results\\n+                    if not send_ok:\\n+                        err = getattr(result, \\\"error\\\", \\\"unknown delivery error\\\") or \\\"unknown delivery error\\\"\\n+                        results[target.to_string()] = {\\\"success\\\": False, \\\"error\\\": err}\\n+                    else:\\n+                        results[target.to_string()] = {\\\"success\\\": True, \\\"result\\\": result}\\n             except Exception as e:\\n                 results[target.to_string()] = {\\n                     \\\"success\\\": False,\\n\", \"files_modified\": [\"/root/.hermes/hermes-agent/gateway/delivery.py\"], \"lint\": {\"status\": \"ok\", \"output\": \"\"}}",
      "tool_call_id": "call_function_xlcllbcwjvqb_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nGood, I fixed the delivery code to check `SendResult.success`. Now let me verify the fix works by checking the syntax and then manually trigger the cron job to see if the delivery error is properly captured this time.But first, let me restart the gateway to pick up the code change. Actually, since this is a Python module, I might need to restart the gateway process.Wait, actually I should just verify the fix works by checking the gateway delivery now. But since the gateway is already running, it won't pick up the code change until restarted.Let me restart the gateway to pick up the fix.\n</think>\n好，改完了。让亮重启 gateway 使其生效：",
      "reasoning": "Good, I fixed the delivery code to check `SendResult.success`. Now let me verify the fix works by checking the syntax and then manually trigger the cron job to see if the delivery error is properly captured this time.But first, let me restart the gateway to pick up the code change. Actually, since this is a Python module, I might need to restart the gateway process.Wait, actually I should just verify the fix works by checking the gateway delivery now. But since the gateway is already running, it won't pick up the code change until restarted.Let me restart the gateway to pick up the fix.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_b7snx0zmfexc_1",
          "call_id": "call_function_b7snx0zmfexc_1",
          "response_item_id": "fc_function_b7snx0zmfexc_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"pkill -f \\\"hermes_cli.main gateway\\\" 2>/dev/null; sleep 2; cd /root/.hermes/hermes-agent && source venv/bin/activate && nohup python -m hermes_cli.main gateway run --replace > /root/.hermes/logs/gateway.log 2>&1 &\\necho \\\"Gateway restarted, PID: $!\\\"\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"\", \"exit_code\": -15, \"error\": null, \"approval\": \"Command required approval (start gateway outside systemd (use 'systemctl --user restart hermes-gateway')) and was approved by the user.\"}",
      "tool_call_id": "call_function_b7snx0zmfexc_1"
    },
    {
      "role": "assistant",
      "content": "<think>\nOK, I got a warning about running the gateway outside of systemd, but the command was approved. The gateway should have restarted. Let me wait a moment and then verify it's running.\n</think>",
      "reasoning": "OK, I got a warning about running the gateway outside of systemd, but the command was approved. The gateway should have restarted. Let me wait a moment and then verify it's running.",
      "finish_reason": "tool_calls",
      "tool_calls": [
        {
          "id": "call_function_9uf9vkkhl5kw_1",
          "call_id": "call_function_9uf9vkkhl5kw_1",
          "response_item_id": "fc_function_9uf9vkkhl5kw_1",
          "type": "function",
          "function": {
            "name": "terminal",
            "arguments": "{\"command\": \"sleep 3 && ps aux | grep -i \\\"hermes_cli.main gateway\\\" | grep -v grep\"}"
          }
        }
      ]
    },
    {
      "role": "tool",
      "content": "{\"output\": \"root     3217595  0.0  5.8 897944 118092 ?       Ssl  Apr24   1:51 /root/.hermes/hermes-agent/venv/bin/python -m hermes_cli.main gateway run --replace\", \"exit_code\": 0, \"error\": null}",
      "tool_call_id": "call_function_9uf9vkkhl5kw_1"
    }
  ]
}