{"role": "session_meta", "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": {}}}}, {"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'"}}}}}, {"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": {}}}}, {"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. For simple information retrieval, prefer web_search or web_extract (faster, cheaper). For plain-text endpoints — URLs ending in .md, .txt, .json, .yaml, .yml, .csv, .xml, raw.githubusercontent.com, or any documented API endpoint — prefer curl via the terminal tool or web_extract; the browser stack is overkill and much slower for these. 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}}}}}, {"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\nTo stop a job the user no longer wants: first action='list' to find the job_id, then action='remove' with that job_id. Never guess job IDs — always list first.\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), 'all' (fan out to every connected home channel), or platform:chat_id:thread_id for a specific destination. Combine with comma: 'origin,all' delivers to the origin plus every other connected channel. Examples: 'telegram:-1001234567890:17585', 'discord:#engineering', 'sms:+15551234567', 'all'. WARNING: 'platform:chat_id' without :thread_id loses topic targeting. 'all' resolves at fire time, so a job created before a channel was wired up will pick it up automatically once connected."}, "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', or 'custom:<name>' for a provider defined in custom_providers config — always include the ':<name>' suffix, never pass the bare 'custom'). 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 script that runs each tick. In the default mode its stdout is injected into the agent's prompt as context (data-collection / change-detection pattern). With no_agent=True, the script IS the job and its stdout is delivered verbatim (classic watchdog pattern). Relative paths resolve under ~/.hermes/scripts/. ``.sh``/``.bash`` extensions run via bash, everything else via Python. On update, pass empty string to clear."}, "no_agent": {"type": "boolean", "default": false, "description": "Default: False (LLM-driven job — the agent runs the prompt each tick). Set True to skip the LLM entirely: the scheduler just runs ``script`` on schedule and delivers its stdout verbatim. No tokens, no agent loop, no model override honoured. \n\nREQUIREMENTS when True: ``script`` MUST be set (``prompt`` and ``skills`` are ignored). \n\nDELIVERY SEMANTICS when True: (a) non-empty stdout is sent verbatim as the message; (b) EMPTY stdout means SILENT — nothing is sent to the user and they won't see anything happened, so design your script to stay quiet when there's nothing to report (the watchdog pattern); (c) non-zero exit / timeout sends an error alert so a broken watchdog can't fail silently. \n\nWHEN TO USE True: recurring script-only pings where the script itself produces the exact message text (memory/disk/GPU watchdogs, threshold alerts, heartbeats, CI notifications, API pollers with a fixed output shape). WHEN TO USE False (default): anything that needs reasoning — summarize a feed, draft a daily briefing, pick interesting items, rephrase data for a human, follow conditional logic based on content."}, "context_from": {"type": "array", "items": {"type": "string"}, "description": "Optional job ID or list of job IDs whose most recent completed output is injected into the prompt as context before each run. Use this to chain cron jobs: job A collects data, job B processes it. Each entry must be a valid job ID (from cronjob action='list'). Note: injects the most recent completed output — does not wait for upstream jobs running in the same tick. On update, pass an empty array to clear."}, "enabled_toolsets": {"type": "array", "items": {"type": "string"}, "description": "Optional list of toolset names to restrict the job's agent to (e.g. [\"web\", \"terminal\", \"file\", \"delegation\"]). When set, only tools from these toolsets are loaded, significantly reducing input token overhead. When omitted, all default tools are loaded. Infer from the job's prompt — e.g. use \"web\" if it calls web_search, \"terminal\" if it runs scripts, \"file\" if it reads files, \"delegation\" if it calls delegate_task. On update, pass an empty array to clear."}, "workdir": {"type": "string", "description": "Optional absolute path to run the job from. When set, AGENTS.md / CLAUDE.md / .cursorrules from that directory are injected into the system prompt, and the terminal/file/code_exec tools use it as their working directory — useful for running a job inside a specific project repo. Must be an absolute path that exists. When unset (default), preserves the original behaviour: no project context files, tools use the scheduler's cwd. On update, pass an empty string to clear. Jobs with workdir run sequentially (not parallel) to keep per-job directories isolated."}}, "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 concurrently for this user (configured via delegation.max_concurrent_children in config.yaml). All run in parallel and results are returned together. Nested delegation is OFF for this user (max_spawn_depth=1): every child is a leaf and cannot delegate further. Raise delegation.max_spawn_depth in config.yaml to enable nesting.\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- Durable long-running work that must outlive the current turn -> use cronjob (action='create') or terminal(background=True, notify_on_complete=True) instead. delegate_task runs SYNCHRONOUSLY inside the parent turn: if the parent is interrupted (user sends a new message, /stop, /new) the child is cancelled with status='interrupted' and its work is discarded. Children cannot continue in the background.\n\nIMPORTANT:\n- Subagents have NO memory of your conversation. Pass all relevant info (file paths, error messages, constraints) via the 'context' field.\n- If the user is writing in a non-English language, or asked for output in a specific language / tone / style, say so in 'context' (e.g. \"respond in Chinese\", \"return output in Japanese\"). Otherwise subagents default to English and their summaries will contaminate your final reply with the wrong language.\n- Subagent summaries are SELF-REPORTS, not verified facts. A subagent that claims \"uploaded successfully\" or \"file written\" may be wrong. For operations with external side-effects (HTTP POST/PUT, remote writes, file creation at shared paths, publishing), require the subagent to return a verifiable handle (URL, ID, absolute path, HTTP status) and verify it yourself — fetch the URL, stat the file, read back the content — before telling the user the operation succeeded.\n- Leaf subagents (role='leaf', the default) CANNOT call: delegate_task, clarify, memory, send_message, execute_code.\n- Orchestrator subagents (role='orchestrator') retain delegate_task so they can spawn their own workers, but still cannot use clarify, memory, send_message, or execute_code. Orchestrators are bounded by max_spawn_depth=1 for this user and can be disabled globally via delegation.orchestrator_enabled=false.\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', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. 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', 'computer_use', 'cronjob', 'discord', 'discord_admin', 'feishu_doc', 'feishu_drive', 'file', 'homeassistant', 'image_gen', 'kanban', 'search', 'session_search', 'skills', 'spotify', 'terminal', 'todo', 'tts', 'video', 'video_gen', 'vision', 'web', 'x_search', 'yuanbao'. Use 'web' for network access, 'terminal' for shell, 'browser' for web interaction."}, "acp_command": {"type": "string", "description": "Per-task ACP command override (e.g. 'copilot'). Overrides the top-level acp_command for this task only. Do NOT set unless the user explicitly told you an ACP CLI is installed."}, "acp_args": {"type": "array", "items": {"type": "string"}, "description": "Per-task ACP args override. Leave empty unless acp_command is set."}, "role": {"type": "string", "enum": ["leaf", "orchestrator"], "description": "Per-task role override. See top-level 'role' for semantics."}}, "required": ["goal"]}, "description": "Batch mode: tasks to run in parallel (up to 3 for this user, set via delegation.max_concurrent_children). Each gets its own subagent with isolated context and terminal session. When provided, top-level goal/context/toolsets are ignored."}, "role": {"type": "string", "enum": ["leaf", "orchestrator"], "description": "Role of the child agent. 'leaf' (default) = focused worker, cannot delegate further. 'orchestrator' = can use delegate_task to spawn its own workers. Nesting is OFF for this user (max_spawn_depth=1); 'orchestrator' is silently forced to 'leaf'. Raise delegation.max_spawn_depth in config.yaml to enable."}, "acp_command": {"type": "string", "description": "Override ACP command for child agents (e.g. 'copilot'). When set, children use ACP subprocess transport instead of inheriting the parent's transport. Requires an ACP-compatible CLI (currently GitHub Copilot CLI via 'copilot --acp --stdio'). See agent/copilot_acp_client.py for the implementation. IMPORTANT: Do NOT set this unless the user has explicitly told you a specific ACP-compatible CLI is installed and configured. Leave empty to use the parent's default transport (Hermes subagents)."}, "acp_args": {"type": "array", "items": {"type": "string"}, "description": "Arguments for the ACP command (default: ['--acp', '--stdio']). Only used when acp_command is set. Leave empty unless acp_command is explicitly provided."}}}}}, {"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  web_search(query: str, limit: int = 5) -> dict\n    Returns {\"data\": {\"web\": [{\"url\", \"title\", \"description\"}, ...]}}\n  web_extract(urls: list[str]) -> dict\n    Returns {\"results\": [{\"url\", \"title\", \"content\", \"error\"}, ...]} where content is markdown\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\nScripts run in the session's working directory with the active venv's python, so project deps (pandas, etc.) and relative paths work like in terminal().\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 web_search, terminal, ...` and print your final result to stdout."}}, "required": ["code"]}}}, {"type": "function", "function": {"name": "image_generate", "description": "Generate high-quality images from text prompts. The underlying backend (FAL, OpenAI, etc.) and model are user-configured and not selectable by the agent. Returns either a URL or an absolute file path in the `image` field; display it with markdown ![description](url-or-path) and the gateway will deliver it.", "parameters": {"type": "object", "properties": {"prompt": {"type": "string", "description": "The text prompt describing the desired image. Be detailed and descriptive."}, "aspect_ratio": {"type": "string", "enum": ["landscape", "square", "portrait"], "description": "The aspect ratio of the generated image. 'landscape' is 16:9 wide, 'portrait' is 16:9 tall, 'square' is 1:1.", "default": "landscape"}}, "required": ["prompt"]}}}, {"type": "function", "function": {"name": "mcp_minimax_get_prompt", "description": "Get a prompt by name from MCP server 'minimax'", "parameters": {"type": "object", "properties": {"name": {"type": "string", "description": "Name of the prompt to retrieve"}, "arguments": {"type": "object", "description": "Optional arguments to pass to the prompt", "properties": {}, "additionalProperties": true}}, "required": ["name"]}}}, {"type": "function", "function": {"name": "mcp_minimax_list_prompts", "description": "List available prompts from MCP server 'minimax'", "parameters": {"type": "object", "properties": {}}}}, {"type": "function", "function": {"name": "mcp_minimax_list_resources", "description": "List available resources from MCP server 'minimax'", "parameters": {"type": "object", "properties": {}}}}, {"type": "function", "function": {"name": "mcp_minimax_read_resource", "description": "Read a resource by URI from MCP server 'minimax'", "parameters": {"type": "object", "properties": {"uri": {"type": "string", "description": "URI of the resource to read"}}, "required": ["uri"]}}}, {"type": "function", "function": {"name": "mcp_minimax_understand_image", "description": "\n    \n    You MUST use this tool whenever you need to analyze, describe, or extract information from an image,\n    including when you get an image from user input or any task-related image.\n\n    An LLM-powered vision tool that can analyze and interpret image content from local files or URLs based on your instructions.\n    Only JPEG, PNG, and WebP formats are supported. Other formats (e.g. PDF, GIF, PSD, SVG) are not supported.\n\n    Args:\n        prompt (str): A text prompt describing what you want to analyze or extract from the image.\n        image_source (str): The location of the image to analyze.\n            Accepts:\n            - HTTP/HTTPS URL: \"https://example.com/image.jpg\"\n            - Local file path:\n                - Relative path: \"images/photo.png\"\n                - Absolute path: \"/Users/username/Documents/image.jpg\"\n            IMPORTANT: If the file path starts with an @ symbol, you MUST strip the @ prefix before passing it to this function.\n            For example:\n                - \"@Documents/photo.jpg\" → \"Documents/photo.jpg\"\n                - \"@/Users/username/image.png\" → \"/Users/username/image.png\"\n            Supported formats: JPEG, PNG, WebP\n        \n    Returns:\n        A text description of the image analysis result.\n    ", "parameters": {"properties": {"prompt": {"title": "Prompt", "type": "string"}, "image_source": {"title": "Image Source", "type": "string"}}, "required": ["prompt", "image_source"], "title": "understand_imageArguments", "type": "object"}}}, {"type": "function", "function": {"name": "mcp_minimax_web_search", "description": "\n    \n    You MUST use this tool whenever you need to search for real-time or external information on the web.\n    \n    A web search API that works just like Google Search.\n    \n    Args:\n        query (str): The search query. Aim for 3-5 keywords for best results. For time-sensitive topics, include the current date (e.g. `latest iPhone 2025`).\n        \n    Search Strategy:\n        - If no useful results are returned, try rephrasing your query with different keywords.\n        \n    Returns:\n        A JSON object containing the search results, structured as follows:\n        {\n            \"organic\": [\n                {\n                    \"title\": \"string - The title of the search result\",\n                    \"link\": \"string - The URL link to the result\",\n                    \"snippet\": \"string - A brief description or excerpt\",\n                    \"date\": \"string - The date of the result\"\n                }\n            ],\n            \"related_searches\": [\n                {\n                    \"query\": \"string - A related search query suggestion\"\n                }\n            ],\n            \"base_resp\": {\n                \"status_code\": \"int - Response status code\",\n                \"status_msg\": \"string - Response status message\"\n            }\n        }\n    ", "parameters": {"properties": {"query": {"title": "Query", "type": "string"}}, "required": ["query"], "title": "web_searchArguments", "type": "object"}}}, {"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 (mode='replace', default): find a unique string and replace it. REQUIRED PARAMETERS: mode, path, old_string, new_string.\nPATCH MODE (mode='patch'): apply V4A multi-file patches for bulk changes. REQUIRED PARAMETERS: mode, patch.", "parameters": {"type": "object", "properties": {"mode": {"type": "string", "enum": ["replace", "patch"], "description": "Edit mode. 'replace' (default): requires path + old_string + new_string. 'patch': requires patch content only.", "default": "replace"}, "path": {"type": "string", "description": "REQUIRED when mode='replace'. File path to edit."}, "old_string": {"type": "string", "description": "REQUIRED when mode='replace'. Exact text to find and replace. Must be unique in the file unless replace_all=true. Include surrounding context lines to ensure uniqueness."}, "new_string": {"type": "string", "description": "REQUIRED when mode='replace'. Replacement text. Pass 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": "REQUIRED when mode='patch'. V4A format patch content. 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": "send_message", "description": "Send a message to a connected messaging platform, or list available targets.\n\nIMPORTANT: When the user asks to send to a specific channel or person (not just a bare platform name), call send_message(action='list') FIRST to see available targets, then send to the correct one.\nIf the user just says a platform name like 'send to telegram', send directly to the home channel without listing first.", "parameters": {"type": "object", "properties": {"action": {"type": "string", "enum": ["send", "list"], "description": "Action to perform. 'send' (default) sends a message. 'list' returns all available channels/contacts across connected platforms."}, "target": {"type": "string", "description": "Delivery target. Format: 'platform' (uses home channel), 'platform:#channel-name', 'platform:chat_id', or 'platform:chat_id:thread_id' for Telegram topics and Discord threads. Examples: 'telegram', 'telegram:-1001234567890:17585', 'discord:999888777:555444333', 'discord:#bot-home', 'slack:#engineering', 'signal:+155****4567', 'matrix:!roomid:server.org', 'matrix:@user:server.org', 'yuanbao:direct:<account_id>' (DM), 'yuanbao:group:<group_code>' (group chat)"}, "message": {"type": "string", "description": "The message text to send. To send an image or file, include MEDIA:<local_path> (e.g. 'MEDIA:/tmp/hermes/cache/img_xxx.jpg') in the message — the platform will deliver it as a native media attachment."}}}}}, {"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}}}}}, {"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\nOn delete, pass `absorbed_into=<umbrella>` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\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.\n\nPinned skills are protected from deletion only — skill_manage(action='delete') will refuse with a message pointing the user to `hermes curator unpin <name>`. Patches and edits go through on pinned skills so you can still improve them as pitfalls come up; pin only guards against irrecoverable loss.", "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'."}, "absorbed_into": {"type": "string", "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent."}}, "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). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')."}, "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"}}}}}, {"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.\nFor servers/watchers, do NOT use shell-level background wrappers (nohup/disown/setsid/trailing '&') in foreground mode. Use background=true so Hermes can track lifecycle and output.\nAfter starting a server, verify readiness with a health check or log signal, then run tests in a separate terminal() call. Avoid blind sleep loops.\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 exactly once when the process finishes. **This is the right choice for almost every long-running task** — tests, builds, deployments, multi-item batch jobs, anything that takes over a minute and has a defined end. Use this and keep working on other things; the system notifies you on exit. MUTUALLY EXCLUSIVE with watch_patterns — when both are set, watch_patterns is dropped.", "default": false}, "watch_patterns": {"type": "array", "items": {"type": "string"}, "description": "Strings to watch for in background process output. HARD RATE LIMIT: at most 1 notification per 15 seconds per process — matches arriving inside the cooldown are dropped. After 3 consecutive 15-second windows with dropped matches, watch_patterns is automatically disabled for that process and promoted to notify_on_complete behavior (one notification on exit, no more mid-process spam). USE ONLY for truly rare, one-shot mid-process signals on LONG-LIVED processes that will never exit on their own — e.g. ['Application startup complete'] on a server so you know when to hit its endpoint, or ['migration done'] on a daemon. DO NOT use for: (1) end-of-run markers like 'DONE'/'PASS' — use notify_on_complete instead; (2) error patterns like 'ERROR'/'Traceback' in loops or multi-item batch jobs — they fire on every iteration and you'll hit the strike limit fast; (3) anything you'd ever combine with notify_on_complete. When in doubt, choose notify_on_complete. MUTUALLY EXCLUSIVE with notify_on_complete — set one, not both."}}, "required": ["command"]}}}, {"type": "function", "function": {"name": "text_to_speech", "description": "Convert text to speech audio. Returns a MEDIA: path that the platform delivers as native audio. Compatible providers render as a voice bubble on Telegram; otherwise audio is sent as a regular attachment. In CLI mode, saves to ~/voice-memos/. Voice and provider are user-configured (built-in providers like edge/openai or custom command providers under tts.providers.<name>), not model-selected.", "parameters": {"type": "object", "properties": {"text": {"type": "string", "description": "The text to convert to speech. Provider-specific character caps apply and are enforced automatically (OpenAI 4096, xAI 15000, MiniMax 10000, ElevenLabs 5k-40k depending on model); over-long input is truncated."}, "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}}}}}, {"type": "function", "function": {"name": "vision_analyze", "description": "Load an image into the conversation so you can see it. Accepts a URL, local file path, or data URL. When your active model has native vision, the image is attached to your context directly and you read the pixels yourself on the next turn — call this any time the user references an image (filepath in their message, URL in tool output, screenshot from the browser, etc.). For non-vision models, falls back to an auxiliary vision model that returns a text description.", "parameters": {"type": "object", "properties": {"image_url": {"type": "string", "description": "Image URL (http/https), local file path, or data: URL to load."}, "question": {"type": "string", "description": "Your specific question or request about the image. Optional context the model uses on the next turn after seeing the image."}}, "required": ["image_url", "question"]}}}, {"type": "function", "function": {"name": "web_extract", "description": "Extract content from web page URLs. Returns page content in markdown format. Also works with PDF URLs (arxiv papers, documents, etc.) — pass the PDF link directly and it converts to markdown text. Pages under 5000 chars return full markdown; larger pages are LLM-summarized and capped at ~5000 chars per page. Pages over 2M chars are refused. If a URL fails or times out, use the browser tool to access it instead.", "parameters": {"type": "object", "properties": {"urls": {"type": "array", "items": {"type": "string"}, "description": "List of URLs to extract content from (max 5 URLs per call)", "maxItems": 5}}, "required": ["urls"]}}}, {"type": "function", "function": {"name": "web_search", "description": "Search the web for information. Returns up to 5 results by default with titles, URLs, and descriptions. The query is passed through to the configured backend, so operators such as site:domain, filetype:pdf, intitle:word, -term, and \"exact phrase\" may work when the backend supports them.", "parameters": {"type": "object", "properties": {"query": {"type": "string", "description": "The search query to look up on the web. You may include backend-supported operators such as site:example.com, filetype:pdf, intitle:word, -term, or \"exact phrase\"."}, "limit": {"type": "integer", "description": "Maximum number of results to return. Defaults to 5.", "minimum": 1, "maximum": 100, "default": 5}}, "required": ["query"]}}}, {"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. Auto-runs syntax checks on .py/.json/.yaml/.toml and other linted languages; only NEW errors introduced by this write are surfaced (pre-existing errors are filtered out).", "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"]}}}], "model": "MiniMax-M2.7", "platform": "telegram", "timestamp": "2026-05-20T02:16:33.708248"}
{"role": "user", "content": "？", "timestamp": "2026-05-20T02:16:33.708248"}
{"role": "assistant", "content": "在的。有什么需要？", "reasoning": "The user sent \"？\" which is a Chinese question mark - they seem to be asking something or waiting for a response. Given the context, they're likely just checking if I'm here or ready. I should respond naturally.", "finish_reason": "stop", "reasoning_content": "The user sent \"？\" which is a Chinese question mark - they seem to be asking something or waiting for a response. Given the context, they're likely just checking if I'm here or ready. I should respond naturally.", "reasoning_details": [{"signature": "1d8ed1095564d734159386dfd4ef1afc481e69626c52a66c7130205b329dca49", "thinking": "The user sent \"？\" which is a Chinese question mark - they seem to be asking something or waiting for a response. Given the context, they're likely just checking if I'm here or ready. I should respond naturally.", "type": "thinking"}], "timestamp": "2026-05-20T02:16:33.708248"}
{"role": "user", "content": "你是谁", "timestamp": "2026-05-20T02:17:01.274031"}
{"role": "assistant", "content": "我是你的 AI 助手，运行在 Hermes 上，模型是 MiniMax-M2.7。可以通过 Telegram 和你对话。\n\n能帮你：搜索、写代码、管理文件、查资料、做日程提醒等等。直接说需求就行。", "reasoning": "The user is asking \"who are you\" in Chinese. I should give a brief introduction of myself.", "finish_reason": "stop", "reasoning_content": "The user is asking \"who are you\" in Chinese. I should give a brief introduction of myself.", "reasoning_details": [{"signature": "22c14804d1f0d798088bd0233925655229385a5eec1307b63762ce13c56329af", "thinking": "The user is asking \"who are you\" in Chinese. I should give a brief introduction of myself.", "type": "thinking"}], "timestamp": "2026-05-20T02:17:01.274031"}
{"role": "user", "content": "你的身份", "timestamp": "2026-05-20T02:17:37.629051"}
{"role": "assistant", "content": "我是 Hermes Agent，一个运行在你本地机器上的 AI 助手。\n\n**基本信息：**\n- 模型：MiniMax-M2.7（通过 minimax-cn 提供商）\n- 平台：Hermes（开源 AI 助手框架）\n- 对话渠道：Telegram\n\n**能做什么：**\n- 搜索信息、查资料\n- 写代码、调试、执行脚本\n- 管理文件和 cron 任务\n- 发送消息、生成图片、TTS\n- 以及各种日常助理工作\n\n**你的配置：**\n- Telegram ID：7862937585\n- 配额：MiniMax 年计划，1500次/5小时\n\n简单说：我是个可以帮你做事的命令行助手，有点像把 ChatGPT、代码执行、和各种工具整合在一起。有问题直接问，有事直接派。", "reasoning": "The user is asking about my identity in Chinese. I should respond in Chinese and explain what I am.", "finish_reason": "stop", "reasoning_content": "The user is asking about my identity in Chinese. I should respond in Chinese and explain what I am.", "reasoning_details": [{"signature": "f990a21d768d846ccddf0292843c15497bdc05a9087100d17053f4b873ebf504", "thinking": "The user is asking about my identity in Chinese. I should respond in Chinese and explain what I am.", "type": "thinking"}], "timestamp": "2026-05-20T02:17:37.629051"}
{"role": "user", "content": "你的身份配置信息是什么？", "timestamp": "2026-05-20T02:19:03.762104"}
{"role": "assistant", "content": "", "reasoning": "The user is asking about my identity configuration. Let me check the Hermes config to see what my identity/settings are configured as.", "finish_reason": "tool_calls", "reasoning_content": "The user is asking about my identity configuration. Let me check the Hermes config to see what my identity/settings are configured as.", "reasoning_details": [{"signature": "da20af80af7c87b899a30e18914af4af4f3f88e75d17a706e1fa18a8f169f2e3", "thinking": "The user is asking about my identity configuration. Let me check the Hermes config to see what my identity/settings are configured as.", "type": "thinking"}], "tool_calls": [{"id": "call_function_38ehv6wu9atc_1", "call_id": "call_function_38ehv6wu9atc_1", "response_item_id": "fc_function_38ehv6wu9atc_1", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\": \"hermes config show 2>/dev/null || cat ~/.hermes/config.yaml 2>/dev/null | head -100\"}"}}], "timestamp": "2026-05-20T02:19:03.762104"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"┌─────────────────────────────────────────────────────────┐\\n│              ⚕ Hermes Configuration                    │\\n└─────────────────────────────────────────────────────────┘\\n\\n◆ Paths\\n  Config:       /home/kuhnn/.hermes/config.yaml\\n  Secrets:      /home/kuhnn/.hermes/.env\\n  Install:      /home/kuhnn/.hermes/hermes-agent\\n\\n◆ API Keys\\n  OpenRouter     (not set)\\n  OpenAI (STT/TTS) (not set)\\n  Exa            (not set)\\n  Parallel       (not set)\\n  Firecrawl      (not set)\\n  Tavily         tvly...uKfH\\n  Browserbase    (not set)\\n  Browser Use    (not set)\\n  FAL            (not set)\\n  Anthropic      (not set)\\n\\n◆ Model\\n  Model:        {'default': 'MiniMax-M2.7', 'provider': 'minimax-cn', 'base_url': 'https://api.minimaxi.com/anthropic'}\\n  Max turns:    90\\n\\n◆ Display\\n  Personality:  kawaii\\n  Reasoning:    off\\n  Bell:         off\\n  User preview: first 2 line(s), last 2 line(s)\\n\\n◆ Terminal\\n  Backend:      local\\n  Working dir:  .\\n  Timeout:      180s\\n\\n◆ Timezone\\n  Timezone:     (server-local)\\n\\n◆ Context Compression\\n  Enabled:      yes\\n  Threshold:    50%\\n  Target ratio: 20% of threshold preserved\\n  Protect last: 20 messages\\n  Protect first: 3 non-system head messages\\n  Model:        (auto)\\n\\n◆ Auxiliary Models (overrides)\\n  Vision        provider=minimax-cn, model=openai/chatgpt-4o-latest\\n\\n◆ Messaging Platforms\\n  Telegram:     configured\\n  Discord:      not configured\\n\\n────────────────────────────────────────────────────────────\\n  hermes config edit     # Edit config file\\n  hermes config set <key> <value>\\n  hermes setup           # Run setup wizard\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_function_38ehv6wu9atc_1", "timestamp": "2026-05-20T02:19:03.762104"}
{"role": "assistant", "content": "**Hermes 配置：**\n\n**模型**\n- 默认：MiniMax-M2.7\n- 提供商：minimax-cn\n- API 地址：https://api.minimaxi.com/anthropic\n\n**消息平台**\n- Telegram：已配置（ID: 7862937585）\n- Discord：未配置\n\n**API Keys**\n- Tavily：已配置（搜索后端）\n- 其他（OpenAI、Anthropic、FAL 等）：未配置\n\n**显示设置**\n- 人格：kawaii\n- 推理：关闭\n- 提示音：关闭\n\n**上下文压缩**\n- 启用：是\n- 阈值：50%\n- 保护：前3条系统消息 + 后20条消息\n\n**工具**\n- 终端：本地后端\n- 工作目录：.\n- 超时：180秒\n\n需要我详细说明某一项吗？", "reasoning": "Good, I got the config. Let me format this nicely for the user.", "finish_reason": "stop", "reasoning_content": "Good, I got the config. Let me format this nicely for the user.", "reasoning_details": [{"signature": "6033ad5107f1948f94b3ee5bc7b17c180283ad14f2944cb06ab82c7e3c7f44fa", "thinking": "Good, I got the config. Let me format this nicely for the user.", "type": "thinking"}], "timestamp": "2026-05-20T02:19:03.762104"}
{"role": "user", "content": "openclaw迁移 过来的身份配置信息 你还记得吗", "timestamp": "2026-05-20T02:21:13.144306"}
{"role": "assistant", "content": "", "reasoning": "The user is asking if I remember the identity configuration information migrated from OpenClaw. Let me search through my session history and memory to find any relevant information about the migration from OpenClaw.\n\nFrom my memory, I can see some notes about this:\n- K.W. migrated from OpenClaw (which used GPT-5.4/Codex) to Hermes (MiniMax-M2.7)\n- There was a morning briefing cron job migration\n- Tavily API was migrated from OpenClaw\n- Synology Drive backups\n\nBut the user is asking specifically about \"identity configuration\" from OpenClaw. Let me search the session history for more details.", "finish_reason": "tool_calls", "reasoning_content": "The user is asking if I remember the identity configuration information migrated from OpenClaw. Let me search through my session history and memory to find any relevant information about the migration from OpenClaw.\n\nFrom my memory, I can see some notes about this:\n- K.W. migrated from OpenClaw (which used GPT-5.4/Codex) to Hermes (MiniMax-M2.7)\n- There was a morning briefing cron job migration\n- Tavily API was migrated from OpenClaw\n- Synology Drive backups\n\nBut the user is asking specifically about \"identity configuration\" from OpenClaw. Let me search the session history for more details.", "reasoning_details": [{"signature": "b73a13cdc7f36b34bcaa982d2afb27450f0cf7db697d309c07ad4be580e0e204", "thinking": "The user is asking if I remember the identity configuration information migrated from OpenClaw. Let me search through my session history and memory to find any relevant information about the migration from OpenClaw.\n\nFrom my memory, I can see some notes about this:\n- K.W. migrated from OpenClaw (which used GPT-5.4/Codex) to Hermes (MiniMax-M2.7)\n- There was a morning briefing cron job migration\n- Tavily API was migrated from OpenClaw\n- Synology Drive backups\n\nBut the user is asking specifically about \"identity configuration\" from OpenClaw. Let me search the session history for more details.", "type": "thinking"}], "tool_calls": [{"id": "call_function_ga62mdzd6eid_1", "call_id": "call_function_ga62mdzd6eid_1", "response_item_id": "fc_function_ga62mdzd6eid_1", "type": "function", "function": {"name": "session_search", "arguments": "{\"query\": \"OpenClaw \\u8fc1\\u79fb \\u8eab\\u4efd\\u914d\\u7f6e\", \"limit\": 5}"}}], "timestamp": "2026-05-20T02:21:13.144306"}
{"role": "tool", "name": "session_search", "content": "{\"success\": true, \"query\": \"OpenClaw 迁移 身份配置\", \"results\": [{\"session_id\": \"20260520_021243_0bdb1d\", \"when\": \"May 20, 2026 at 02:14 AM\", \"source\": \"cli\", \"model\": \"MiniMax-M2.7\", \"summary\": \"## 会话摘要：OpenClaw 迁移身份配置\\n\\n### 本次对话实际内容\\n\\n本次会话**与 OpenClaw 迁移无关**，主要处理了 Hermes Agent 的运维问题：\\n\\n### 执行的行动\\n\\n1. **检查 Hermes 状态** → Gateway 服务已停止（被 SIGKILL 杀死），Cron jobs 暂停\\n2. **重启 Gateway** → `hermes gateway start`，服务恢复运行\\n3. **修复 Config 警告** → 发现并删除了 `~/.hermes/config.yaml` 第 532 行根级别的 misplaced `api_key`（该 key 应存在于 `.env` 中）\\n4. **验证修复** → 重启后 Config 警告消失，Gateway 稳定运行\\n\\n### 最终状态\\n\\n| 组件 | 状态 |\\n|------|------|\\n| Gateway | ✓ 运行中（PID 298897） |\\n| Cron jobs | ✓ 2 个活跃，下次 09:00 |\\n| MiniMax API Key | ✓ 配置正常 |\\n| OpenAI Codex | ✓ 已登录 |\\n| Config 警告 | ✓ 已修复 |\\n\\n### 关于 OpenClaw 迁移\\n\\n会话中仅在 Hermes Agent 技能文档中出现过一条相关命令：\\n\\n```bash\\nhermes claw migrate         # Migrate from OpenClaw\\n```\\n\\n但本次会话**未实际执行任何 OpenClaw 迁移操作**，也未讨论身份配置的迁移方式。如需进行 OpenClaw 到 Hermes 的迁移，可执行 `hermes claw migrate` 命令。\"}, {\"session_id\": \"20260520_011440_6f9fd515\", \"when\": \"May 20, 2026 at 01:14 AM\", \"source\": \"telegram\", \"model\": \"MiniMax-M2.7\", \"summary\": \"## 会话摘要：OpenClaw 迁移身份配置\\n\\n### 背景与目标\\n用户最初请求获取本机 n8n 的登录方式，但会话方向转变为解决 **Hermes Agent（OpenClaw）的图像理解能力配置问题**。\\n\\n### 问题链路\\n\\n1. **n8n 发现** — n8n 运行在 `localhost:5678`，显示全新安装的\\\"Set up owner account\\\"页面，需要创建第一个管理员账号\\n2. **图片分析请求** — 用户发送了 n8n 设置页面的截图，希望 AI 能读取截图中的邮箱地址\\n3. **Vision 失败** — 原有配置使用 `openai-codex` + `gpt-4o`，但底层是 ChatGPT 账号，**不支持 gpt-4o 做视觉分析**\\n\\n### 解决方案\\n\\n**发现关键信息：** MiniMax 的图像理解**只能通过 MCP 协议**调用，不是通用 vision API：\\n- MCP 包：`minimax-coding-plan-mcp`\\n- 工具名：`understand_image` 和 `web_search`\\n- API 地址：`https://api.minimax.io`\\n\\n**两处配置修改（`~/.hermes/config.yaml`）：**\\n\\n1. **Vision 配置回退** — 改回 `minimax-cn` + `openai/chatgpt-4o-latest`（MiniMax API 代理的 ChatGPT 模型）\\n2. **新增 MCP 服务器配置：**\\n   ```yaml\\n   mcp_servers:\\n     minimax:\\n       command: \\\"uvx\\\"\\n       args: [\\\"minimax-coding-plan-mcp\\\", \\\"-y\\\"]\\n       env:\\n         MINIMAX_API_KEY: \\\"sk-cp-...\\\"\\n         MINIMAX_API_HOST: \\\"https://api.minimax.io\\\"\\n   ```\\n\\n### 当前状态\\n- ✅ `mcp` Python 包已安装 (v1.27.1)\\n- ✅ `uvx` 已安装\\n- ✅ 配置已写入 `~/.hermes/config.yaml`\\n- ⏳ **需要重启 Hermes Agent** 才能加载 MCP 工具并使其生效\\n- ❓ 用户截图中的 n8n 邮箱地址尚未确认（截图未能成功分析）\\n\\n### 结论\\n对于 OpenClaw/Hermes Agent 的图像理解，最佳方案是配置 `minimax-coding-plan-mcp` MCP 服务器，重启后可通过 `mcp_minimax_understand_image` 工具调用图像分析能力。\"}, {\"session_id\": \"cron_18c46fde1520_20260519_090009\", \"when\": \"May 19, 2026 at 09:00 AM\", \"source\": \"cron\", \"model\": \"MiniMax-M2.7\", \"summary\": \"## 会话摘要\\n\\n**搜索主题**: OpenClaw 迁移 身份配置\\n**实际会话内容**: 每日晨间播报 Cron 任务执行（非 OpenClaw 相关）\\n\\n---\\n\\n### 1. 用户请求\\n用户通过 `morning-briefing` skill 触发每日晨间播报任务，要求在伦敦时间 09:00 自动执行。\\n\\n### 2. 执行的操作和结果\\n\\n**并行网络搜索（4个）：**\\n- **重要新闻**: 搜索 \\\"today's top news China OR world 2026\\\" → 获取 Reuters 中国/世界新闻\\n- **艺术动态**: 搜索 \\\"艺术行业新闻 中国\\\" → 获取苏富比、拍卖等艺术新闻\\n- **伦敦本地新闻**: 搜索 \\\"London today news TFL strike protest demonstration 2026\\\" → 发现地铁罢工持续至 6月5日，无大规模游行\\n- **伦敦天气**: 天气 API 显示阴天、气温 13°C（体感 11-12°C）、有小雨\\n\\n**TTS 生成：**\\n- 确认 `MINIMAX_API_KEY` 环境变量（通过 `export $(grep MINIMAX_API_KEY ...)`）\\n- 调用 `text_to_speech` 工具（provider: minimax, model: speech-02-hd, voice: Chinese_Mandarin_News_Anchor）\\n- 生成文件：`/home/kuhnn/.hermes/audio_cache/tts_20260519_090000.ogg`\\n\\n**本地喇叭播放：**\\n- 设置音量 80%、取消静音\\n- 通过 `ffplay` 后台播放音频\\n\\n### 3. 关键决策和解决方案\\n\\n- 数字全部转换为中文（18°C → 十八度，2026年5月19日 → 二零二六年五月十九日）\\n- TFL 罢工情况明确回复\\\"有\\\"，游行示威回复\\\"无\\\"\\n- 使用 MiniMax TTS 作为首选，本地 Piper 作为 fallback\\n\\n### 4. 技术细节\\n\\n- **Cron Job ID**: `18c46fde1520`\\n- **音频设备**: `alsa_output.pci-0000_00_1f.3.analog-stereo`\\n- **TTS 输出路径**: `/home/kuhnn/.hermes/audio_cache/tts_20260519_090000.ogg`\\n- **MiniMax API Key**: 从 `.env` 文件加载（`MINIMAX_API_KEY` 独立于 `MINIMAX_CN_API_KEY`）\\n\\n### 5. 遗留信息（OpenClaw 相关）\\n\\n技能文档提及 OpenClaw 遗产配置（但本次会话未直接涉及）：\\n- 旧版 OpenClaw 使用 `sherpa-onnx` 进行离线 TTS\\n- 参考文件保存在：`/home/kuhnn/SynologyDrive/openclaw_backup/snapshot_2026-03-09_031002/bin/`\\n- 包含 `brief_text_clean.py` 和 `brief_replacements.json` 用于文本清洗\\n\\n### 6. 未解决/备注\\n\\n**搜索主题与实际内容不符**：用户搜索 \\\"OpenClaw 迁移 身份配置\\\"，但本次会话是标准的晨间播报执行，未涉及 OpenClaw 迁移或身份配置相关内容。\"}, {\"session_id\": \"20260519_055011_fe590b1c\", \"when\": \"May 19, 2026 at 05:50 AM\", \"source\": \"telegram\", \"model\": \"MiniMax-M2.7\", \"summary\": \"## 对话摘要：OpenClaw 迁移 身份配置\\n\\n**日期：** 2026年5月19日 05:50 AM\\n**会话来源：** Telegram\\n**主题：** OpenClaw 迁移到 Hermes 后的身份认证配置验证\\n\\n---\\n\\n### 用户需求\\n用户从 OpenClaw 迁移到 Hermes，需要验证 ChatGPT（OpenAI）身份配置是否可用。背景是 MiniMax-M2.7 图片理解有问题，需要用 GPT-4o 做 vision fallback。\\n\\n---\\n\\n### 已执行的操作\\n\\n1. **检查当前模型配置**\\n   - 主模型：`MiniMax-M2.7` / `minimax-cn` / `https://api.minimaxi.com/anthropic`\\n   - Auxiliary Vision：`provider=openai-codex, model=gpt-4o`\\n   - `.env` 中无独立 OpenAI API Key\\n\\n2. **验证 OpenAI Codex OAuth 凭证**\\n   - `hermes auth list` 显示 `openai-codex` OAuth token 存在\\n   - Token 有效（exp 2027），关联账户 `iwskun@gmail.com`，ChatGPT Plus 订阅\\n   - 刷新时间戳正常：`last_refresh: 2026-05-19T03:56:25`\\n\\n3. **测试实际调用**\\n   - 多次 curl 测试 OpenAI Codex API，均返回：\\n     - `Invalid client_version format`\\n     - `[{'type': 'missing', 'loc': ('query', 'client_version'), ...}]`\\n   - **结论：OAuth token 刷新成功但实际调用失败**，原因是 Codex OAuth endpoint 要求特定 `client_version` 参数格式\\n\\n4. **排查历史上下文**\\n   - 搜索会话历史，确认5月18日已完成：\\n     - `auxiliary.vision` 从 `provider: auto` 改为 `provider: openai / model: gpt-4o`\\n     - 发现 OpenClaw 用的是 OpenAI Codex OAuth (`openai-codex/gpt-5.4`)，不是独立 API Key\\n     - 当时建议用户去 https://platform.openai.com/api-keys 创建 API Key\\n\\n---\\n\\n### 关键发现\\n\\n| 项目 | 状态 |\\n|------|------|\\n| `auxiliary.vision.provider` | `openai-codex` ✅ |\\n| `auxiliary.vision.model` | `gpt-4o` ✅ |\\n| `auxiliary.vision.api_key` | **空** ❌ |\\n| `auxiliary.vision.base_url` | **空** ❌ |\\n| OAuth Token | 有效但调用失败 ❌ |\\n\\n**根本原因：** `openai-codex` OAuth 认证机制（device_code flow）虽然 token 有效，但 Codex API 需要特定的 `client_version` 头/参数，刷新后的 token 格式与当前 Hermes 版本不兼容。**ChatGPT Plus 订阅 ≠ OpenAI API Key**。\\n\\n---\\n\\n### 决策/结论\\n\\n需要用户选择以下方案之一：\\n\\n1. **推荐方案：** 去 https://platform.openai.com/api-keys 创建独立 API Key，填入 `auxiliary.vision.api_key`\\n2. **备选方案：** 将 `auxiliary.vision` 改回 `provider: auto`，使用 MiniMax 内置图片理解（无需额外配置）\\n\\n---\\n\\n### 待解决\\n- 用户尚未提供 OpenAI API Key\\n- `config.yaml` 底部存在根级 `api_key` 字段位置错误（之前 doctor 警告过，建议 `hermes doctor --fix`）\"}, {\"session_id\": \"20260519_004603_9ad3b1\", \"when\": \"May 19, 2026 at 12:46 AM\", \"source\": \"cli\", \"model\": \"MiniMax-M2.7\", \"summary\": \"## 会话总结：OpenClaw 迁移 身份配置\\n\\n### 用户需求\\n用户从 OpenClaw 迁移到 Hermes，需要为 ChatGPT vision 功能配置身份认证。\\n\\n### 采取的行动\\n\\n1. **查询历史会话** — 发现 5月18日已配置 `auxiliary.vision: provider: openai / model: gpt-4o`，但 `api_key` 为空\\n\\n2. **分析 OpenClaw 旧认证** — 检查 `~/.openclaw/agents/main/agent/auth-profiles.json`，发现用户之前用的是 **OpenAI Codex OAuth**（`openai-codex:default`），而非独立 API Key\\n\\n3. **确认 Hermes 支持 OAuth** — 搜索源码发现 Hermes 的 `openai-codex` provider 支持 OAuth device code flow，不需要 `sk-...` API Key\\n\\n4. **用户执行 OAuth 认证** — 运行 `hermes auth add openai-codex`，在 https://auth.openai.com/codex/device 完成 ChatGPT 账号授权\\n\\n5. **验证认证状态** — 确认 `openai-codex` OAuth 凭据已成功存入 auth store（`openai-codex-oauth-1`）\\n\\n6. **更新配置** — 将 `config.yaml` 中 `auxiliary.vision.provider` 从 `openai` 改为 `openai-codex`\\n\\n7. **重启 Gateway** — 用户批准 `hermes gateway restart` 使配置生效\\n\\n### 最终架构\\n\\n| 模型 | Provider | 认证方式 | 用途 |\\n|------|----------|---------|------|\\n| MiniMax-M2.7 | minimax-cn | API Key (env) | 主对话/推理 |\\n| GPT-4o | openai-codex | ChatGPT OAuth | 图片理解 |\\n\\n### 待验证\\nVision 功能需用户发图测试确认 OAuth 配额是否正常调用。\"}], \"count\": 5, \"sessions_searched\": 5}", "tool_call_id": "call_function_ga62mdzd6eid_1", "timestamp": "2026-05-20T02:21:13.144306"}
{"role": "assistant", "content": "记得。OpenClaw 迁移过来的身份配置：\n\n**认证方式：OpenAI Codex OAuth**\n- 旧版 OpenClaw 用的是 **ChatGPT Codex OAuth**（`openai-codex`），不是独立 API Key\n- 5月19日凌晨完成 OAuth 认证，token 关联 `iwskun@gmail.com`，ChatGPT Plus 订阅\n\n**当前架构：**\n\n| 模型 | Provider | 认证 | 用途 |\n|------|----------|------|------|\n| MiniMax-M2.7 | minimax-cn | API Key (sk-cp-xxx) | 主对话 |\n| GPT-4o | openai-codex | ChatGPT OAuth | 图片理解 |\n\n**问题记录：**\n- OAuth token 有效，但实际调用时返回 `Invalid client_version format`\n- Codex API 需要特定 `client_version` 参数格式，与当前 Hermes 版本可能不兼容\n- 建议方案：去 https://platform.openai.com/api-keys 创建独立 API Key 彻底解决\n\n**其他 OpenClaw 遗产：**\n- TTS：已从 sherpa-onnx 迁移到 MiniMax TTS（晨间播报用 Piper 做 fallback）\n- n8n：发现运行在 `localhost:5678`，全新安装状态\n- 备份文件：`/home/kuhnn/SynologyDrive/openclaw_backup/snapshot_2026-03-09_031002/bin/`\n\n需要我继续帮你解决 OpenAI API Key 的问题吗？", "reasoning": "Now I have a comprehensive picture of the OpenClaw migration history. Let me compile the relevant identity/configuration information from these sessions.", "finish_reason": "stop", "reasoning_content": "Now I have a comprehensive picture of the OpenClaw migration history. Let me compile the relevant identity/configuration information from these sessions.", "reasoning_details": [{"signature": "216ef67f44eb890c7d581893b26e4c9156ac919a0dfab06495e3d91c6b97d3bd", "thinking": "Now I have a comprehensive picture of the OpenClaw migration history. Let me compile the relevant identity/configuration information from these sessions.", "type": "thinking"}], "timestamp": "2026-05-20T02:21:13.144306"}
{"role": "user", "content": "不是 我说的是角色配置 hermes不需要吗？", "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "assistant", "content": "明白了，你是说 OpenClaw 的**角色/人格配置**（system prompt、persona设定）需要迁移到 Hermes。\n\n让我查一下 OpenClaw 的角色配置：", "reasoning": "The user is asking about \"角色配置\" (role/persona configuration) - like system prompts, personality settings, user profile information. They're asking if Hermes needs this kind of configuration, similar to what OpenClaw had.\n\nLooking at my memory and config, I see:\n- `Personality: kawaii` in the config\n- There's a USER PROFILE section in my context with notes about K.W.\n\nBut the user is asking if there's a specific \"role configuration\" from OpenClaw that should be migrated. Let me check if there's an OpenClaw agent configuration file that defined the persona/role.\n\nFrom what I recall from the session history, OpenClaw had agent configuration files. \n\nI need to dig into the OpenClaw backup files to see if there's a system prompt or persona definition that should be migrated over to Hermes.", "finish_reason": "tool_calls", "reasoning_content": "The user is asking about \"角色配置\" (role/persona configuration) - like system prompts, personality settings, user profile information. They're asking if Hermes needs this kind of configuration, similar to what OpenClaw had.\n\nLooking at my memory and config, I see:\n- `Personality: kawaii` in the config\n- There's a USER PROFILE section in my context with notes about K.W.\n\nBut the user is asking if there's a specific \"role configuration\" from OpenClaw that should be migrated. Let me check if there's an OpenClaw agent configuration file that defined the persona/role.\n\nFrom what I recall from the session history, OpenClaw had agent configuration files. \n\nI need to dig into the OpenClaw backup files to see if there's a system prompt or persona definition that should be migrated over to Hermes.", "reasoning_details": [{"signature": "38aabe311bdf4c354e8b0eaab6d659665f2716437d67a0e08a4499ad504ad49a", "thinking": "The user is asking about \"角色配置\" (role/persona configuration) - like system prompts, personality settings, user profile information. They're asking if Hermes needs this kind of configuration, similar to what OpenClaw had.\n\nLooking at my memory and config, I see:\n- `Personality: kawaii` in the config\n- There's a USER PROFILE section in my context with notes about K.W.\n\nBut the user is asking if there's a specific \"role configuration\" from OpenClaw that should be migrated. Let me check if there's an OpenClaw agent configuration file that defined the persona/role.\n\nFrom what I recall from the session history, OpenClaw had agent configuration files. \n\nI need to dig into the OpenClaw backup files to see if there's a system prompt or persona definition that should be migrated over to Hermes.", "type": "thinking"}], "tool_calls": [{"id": "call_function_z26rx96trnlx_1", "call_id": "call_function_z26rx96trnlx_1", "response_item_id": "fc_function_z26rx96trnlx_1", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\": \"ls ~/.openclaw/agents/main/agent/ 2>/dev/null\"}"}}, {"id": "call_function_z26rx96trnlx_2", "call_id": "call_function_z26rx96trnlx_2", "response_item_id": "fc_function_z26rx96trnlx_2", "type": "function", "function": {"name": "search_files", "arguments": "{\"pattern\": \"system.*prompt|persona|role|character\", \"target\": \"files\", \"path\": \"~/.openclaw\"}"}}], "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"auth-profiles.json\\nmodels.json\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_function_z26rx96trnlx_1", "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "tool", "name": "search_files", "content": "{\"total_count\": 0}", "tool_call_id": "call_function_z26rx96trnlx_2", "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "assistant", "content": "", "reasoning": "Let me search more specifically for persona/system prompt files in OpenClaw.", "finish_reason": "tool_calls", "reasoning_content": "Let me search more specifically for persona/system prompt files in OpenClaw.", "reasoning_details": [{"signature": "f6b9ee3a2cfa5d3999ab7c545b034d285b1cf5decfb3dc25d4890e47ab15cf78", "thinking": "Let me search more specifically for persona/system prompt files in OpenClaw.", "type": "thinking"}], "tool_calls": [{"id": "call_function_mju13kuyup3y_1", "call_id": "call_function_mju13kuyup3y_1", "response_item_id": "fc_function_mju13kuyup3y_1", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\": \"ls -la ~/.openclaw/agents/main/ 2>/dev/null; echo \\\"---\\\"; ls -la ~/.openclaw/ 2>/dev/null | head -30\"}"}}], "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"总计 16\\ndrwxrwxr-x 4 kuhnn kuhnn 4096 Mar 10 01:14 .\\ndrwxrwxr-x 3 kuhnn kuhnn 4096 Mar 10 01:10 ..\\ndrwx------ 2 kuhnn kuhnn 4096 Mar 10 02:02 agent\\ndrwxrwxr-x 2 kuhnn kuhnn 4096 Mar 10 02:02 sessions\\n---\\n总计 84\\ndrwx------ 12 kuhnn kuhnn 4096 May 17 23:47 .\\ndrwxr-x--- 45 kuhnn kuhnn 4096 May 20 01:59 ..\\ndrwxrwxr-x  3 kuhnn kuhnn 4096 Mar 10 01:10 agents\\n-rw-rw-r--  1 kuhnn kuhnn  260 May 19 03:00 backup.log\\n-rw-rw-r--  1 kuhnn kuhnn  296 May 19 03:10 backup_synology.log\\ndrwxrwxr-x  2 kuhnn kuhnn 4096 Mar 10 01:51 canvas\\ndrwx------  2 kuhnn kuhnn 4096 Mar 10 11:41 credentials\\ndrwx------  2 kuhnn kuhnn 4096 Mar 10 01:51 cron\\ndrwxrwxr-x  2 kuhnn kuhnn 4096 Mar 10 01:59 devices\\ndrwxrwxr-x  2 kuhnn kuhnn 4096 Mar 10 01:51 identity\\ndrwx------  2 kuhnn kuhnn 4096 Mar 10 01:10 logs\\ndrwxrwxr-x  2 kuhnn kuhnn 4096 Mar 10 01:55 memory\\n-rw-------  1 kuhnn kuhnn 1933 Mar 10 01:51 openclaw.json\\n-rw-------  1 kuhnn kuhnn 1680 Mar 10 01:51 openclaw.json.bak\\n-rw-------  1 kuhnn kuhnn 1601 Mar 10 01:41 openclaw.json.bak.1\\n-rw-------  1 kuhnn kuhnn 1601 Mar 10 01:37 openclaw.json.bak.2\\n-rw-------  1 kuhnn kuhnn 1278 Mar 10 01:35 openclaw.json.bak.3\\n-rw-------  1 kuhnn kuhnn 1018 Mar 10 01:30 openclaw.json.bak.4\\ndrwxrwxr-x  2 kuhnn kuhnn 4096 Mar 10 11:41 telegram\\n-rw-------  1 kuhnn kuhnn  189 May 17 23:47 update-check.json\\ndrwxrwxr-x  4 kuhnn kuhnn 4096 Mar 10 01:10 workspace\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_function_mju13kuyup3y_1", "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "assistant", "content": "", "reasoning": "There are `identity` and `canvas` folders which might contain persona/role configs. Let me check those.", "finish_reason": "tool_calls", "reasoning_content": "There are `identity` and `canvas` folders which might contain persona/role configs. Let me check those.", "reasoning_details": [{"signature": "43be61012a7845ee769ad0c4e9cc807d902a8d50681e1a03ad8e06cc7f6a2956", "thinking": "There are `identity` and `canvas` folders which might contain persona/role configs. Let me check those.", "type": "thinking"}], "tool_calls": [{"id": "call_function_514u7dsnzbyf_1", "call_id": "call_function_514u7dsnzbyf_1", "response_item_id": "fc_function_514u7dsnzbyf_1", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\": \"cat ~/.openclaw/identity/* 2>/dev/null; echo \\\"---\\\"; cat ~/.openclaw/canvas/* 2>/dev/null | head -100\"}"}}], "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"{\\n  \\\"version\\\": 1,\\n  \\\"deviceId\\\": \\\"d6953cf880c651bcb14716d8a5c046fc0207f7278fd986f99e6e3d2f68732cd7\\\",\\n  \\\"tokens\\\": {\\n    \\\"operator\\\": {\\n      \\\"token\\\": \\\"cBcv7m...FaKo\\\",\\n      \\\"role\\\": \\\"operator\\\",\\n      \\\"scopes\\\": [\\n        \\\"operator.admin\\\"\\n      ],\\n      \\\"updatedAtMs\\\": 1773107944991\\n    }\\n  }\\n}\\n{\\n  \\\"version\\\": 1,\\n  \\\"deviceId\\\": \\\"d6953cf880c651bcb14716d8a5c046fc0207f7278fd986f99e6e3d2f68732cd7\\\",\\n  \\\"publicKeyPem\\\": \\\"-----BEGIN PUBLIC KEY-----\\\\nMCowBQYDK2VwAyEAWxBG0uqqCI7AuzOXw+qL0LeOzW2kjO9ythaxQlGZzkY=\\\\n-----END PUBLIC KEY-----\\\\n\\\",\\n  \\\"privateKeyPem\\\": \\\"[REDACTED PRIVATE KEY]\\\\n\\\",\\n  \\\"createdAtMs\\\": 1773106185855\\n}\\n---\\n<!doctype html>\\n<meta charset=\\\"utf-8\\\" />\\n<meta name=\\\"viewport\\\" content=\\\"width=device-width, initial-scale=1\\\" />\\n<title>OpenClaw Canvas</title>\\n<style>\\n  html, body { height: 100%; margin: 0; background: #000; color: #fff; font: 16px/1.4 -apple-system, BlinkMacSystemFont, system-ui, Segoe UI, Roboto, Helvetica, Arial, sans-serif; }\\n  .wrap { min-height: 100%; display: grid; place-items: center; padding: 24px; }\\n  .card { width: min(720px, 100%); background: rgba(255,255,255,0.06); border: 1px solid rgba(255,255,255,0.10); border-radius: 16px; padding: 18px 18px 14px; }\\n  .title { display: flex; align-items: baseline; gap: 10px; }\\n  h1 { margin: 0; font-size: 22px; letter-spacing: 0.2px; }\\n  .sub { opacity: 0.75; font-size: 13px; }\\n  .row { display: flex; gap: 10px; flex-wrap: wrap; margin-top: 14px; }\\n  button { appearance: none; border: 1px solid rgba(255,255,255,0.14); background: rgba(255,255,255,0.10); color: #fff; padding: 10px 12px; border-radius: 12px; font-weight: 600; cursor: pointer; }\\n  button:active { transform: translateY(1px); }\\n  .ok { color: #24e08a; }\\n  .bad { color: #ff5c5c; }\\n  .log { margin-top: 14px; opacity: 0.85; font: 12px/1.4 ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, \\\"Liberation Mono\\\", monospace; white-space: pre-wrap; background: rgba(0,0,0,0.35); border: 1px solid rgba(255,255,255,0.08); padding: 10px; border-radius: 12px; }\\n</style>\\n<div class=\\\"wrap\\\">\\n  <div class=\\\"card\\\">\\n    <div class=\\\"title\\\">\\n      <h1>OpenClaw Canvas</h1>\\n      <div class=\\\"sub\\\">Interactive test page (auto-reload enabled)</div>\\n    </div>\\n\\n    <div class=\\\"row\\\">\\n      <button id=\\\"btn-hello\\\">Hello</button>\\n      <button id=\\\"btn-time\\\">Time</button>\\n      <button id=\\\"btn-photo\\\">Photo</button>\\n      <button id=\\\"btn-dalek\\\">Dalek</button>\\n    </div>\\n\\n    <div id=\\\"status\\\" class=\\\"sub\\\" style=\\\"margin-top: 10px;\\\"></div>\\n    <div id=\\\"log\\\" class=\\\"log\\\">Ready.</div>\\n  </div>\\n</div>\\n<script>\\n(() => {\\n  const logEl = document.getElementById(\\\"log\\\");\\n  const statusEl = document.getElementById(\\\"status\\\");\\n  const log = (msg) => { logEl.textContent = String(msg); };\\n\\n  const hasIOS = () =>\\n    !!(\\n      window.webkit &&\\n      window.webkit.messageHandlers &&\\n      window.webkit.messageHandlers.openclawCanvasA2UIAction\\n    );\\n  const hasAndroid = () =>\\n    !!(\\n      (window.openclawCanvasA2UIAction &&\\n        typeof window.openclawCanvasA2UIAction.postMessage === \\\"function\\\")\\n    );\\n  const hasHelper = () => typeof window.openclawSendUserAction === \\\"function\\\";\\n  statusEl.innerHTML =\\n    \\\"Bridge: \\\" +\\n    (hasHelper() ? \\\"<span class='ok'>ready</span>\\\" : \\\"<span class='bad'>missing</span>\\\") +\\n    \\\" · iOS=\\\" + (hasIOS() ? \\\"yes\\\" : \\\"no\\\") +\\n    \\\" · Android=\\\" + (hasAndroid() ? \\\"yes\\\" : \\\"no\\\");\\n\\n  const onStatus = (ev) => {\\n    const d = ev && ev.detail || {};\\n    log(\\\"Action status: id=\\\" + (d.id || \\\"?\\\") + \\\" ok=\\\" + String(!!d.ok) + (d.error ? (\\\" error=\\\" + d.error) : \\\"\\\"));\\n  };\\n  window.addEventListener(\\\"openclaw:a2ui-action-status\\\", onStatus);\\n\\n  function send(name, sourceComponentId) {\\n    if (!hasHelper()) {\\n      log(\\\"No action bridge found. Ensure you're viewing this on an iOS/Android OpenClaw node canvas.\\\");\\n      return;\\n    }\\n    const sendUserAction =\\n      typeof window.openclawSendUserAction === \\\"function\\\"\\n        ? window.openclawSendUserAction\\n        : undefined;\\n    const ok = sendUserAction({\\n      name,\\n      surfaceId: \\\"main\\\",\\n      sourceComponentId,\\n      context: { t: Date.now() },\\n    });\\n    log(ok ? (\\\"Sent action: \\\" + name) : (\\\"Failed to send action: \\\" + name));\\n  }\\n\\n  document.getElementById(\\\"btn-hello\\\").onclick = () => send(\\\"hello\\\", \\\"demo.hello\\\");\\n  document.getElementById(\\\"btn-time\\\").onclick = () => send(\\\"time\\\", \\\"demo.time\\\");\\n  document.getElementById(\\\"btn-photo\\\").onclick = () => send(\\\"photo\\\", \\\"demo.photo\\\");\\n  document.getElementById(\\\"btn-dalek\\\").onclick = () => send(\\\"dalek\\\", \\\"demo.dalek\\\");\\n})();\\n</script>\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_function_514u7dsnzbyf_1", "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "assistant", "content": "", "reasoning": "你问的是 Hermes 的角色配置，不是 OpenClaw 的 identity。Hermes 有 personality 配置选项，我在配置里看到 `Personality: kawaii`。让我查一下 Hermes 怎么配置角色/personality。", "finish_reason": "tool_calls", "reasoning_content": "你问的是 Hermes 的角色配置，不是 OpenClaw 的 identity。Hermes 有 personality 配置选项，我在配置里看到 `Personality: kawaii`。让我查一下 Hermes 怎么配置角色/personality。", "reasoning_details": [{"signature": "83a3eefe66cf18ddb49d254c5f76094478daecc1cd9f95f4dfe924f5e73481b7", "thinking": "你问的是 Hermes 的角色配置，不是 OpenClaw 的 identity。Hermes 有 personality 配置选项，我在配置里看到 `Personality: kawaii`。让我查一下 Hermes 怎么配置角色/personality。", "type": "thinking"}], "tool_calls": [{"id": "call_function_ivnv4h7srnpw_1", "call_id": "call_function_ivnv4h7srnpw_1", "response_item_id": "fc_function_ivnv4h7srnpw_1", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\": \"cat ~/.openclaw/openclaw.json 2>/dev/null | grep -i \\\"persona\\\\|system\\\\|role\\\\|character\\\" | head -20\"}"}}, {"id": "call_function_ivnv4h7srnpw_2", "call_id": "call_function_ivnv4h7srnpw_2", "response_item_id": "fc_function_ivnv4h7srnpw_2", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\": \"hermes config show 2>/dev/null | grep -i \\\"persona\\\\|personality\\\\|system\\\\|role\\\" \"}"}}], "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_function_ivnv4h7srnpw_1", "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"Personality:  kawaii\\n  Protect first: 3 non-system head messages\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_function_ivnv4h7srnpw_2", "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "assistant", "content": "", "reasoning": "Interesting - the `openclaw.json` doesn't have persona/system prompt in the grep. Let me check the full openclaw.json to see its structure, and also check what Hermes has for personality/persona settings.", "finish_reason": "tool_calls", "reasoning_content": "Interesting - the `openclaw.json` doesn't have persona/system prompt in the grep. Let me check the full openclaw.json to see its structure, and also check what Hermes has for personality/persona settings.", "reasoning_details": [{"signature": "4ae5dc4fdf91229c81e4737873200895600d96b1bb0ebe6692ee54a80ad7f0ed", "thinking": "Interesting - the `openclaw.json` doesn't have persona/system prompt in the grep. Let me check the full openclaw.json to see its structure, and also check what Hermes has for personality/persona settings.", "type": "thinking"}], "tool_calls": [{"id": "call_function_pnh1ool65d70_1", "call_id": "call_function_pnh1ool65d70_1", "response_item_id": "fc_function_pnh1ool65d70_1", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"/home/kuhnn/.openclaw/openclaw.json\"}"}}, {"id": "call_function_pnh1ool65d70_2", "call_id": "call_function_pnh1ool65d70_2", "response_item_id": "fc_function_pnh1ool65d70_2", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\": \"cat ~/.hermes/skills/SOUL.md 2>/dev/null || ls ~/.hermes/skills/ 2>/dev/null\"}"}}], "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|{\\n     2|  \\\"meta\\\": {\\n     3|    \\\"lastTouchedVersion\\\": \\\"2026.3.8\\\",\\n     4|    \\\"lastTouchedAt\\\": \\\"2026-03-10T01:51:14.846Z\\\"\\n     5|  },\\n     6|  \\\"wizard\\\": {\\n     7|    \\\"lastRunAt\\\": \\\"2026-03-10T01:51:14.779Z\\\",\\n     8|    \\\"lastRunVersion\\\": \\\"2026.3.8\\\",\\n     9|    \\\"lastRunCommand\\\": \\\"onboard\\\",\\n    10|    \\\"lastRunMode\\\": \\\"local\\\"\\n    11|  },\\n    12|  \\\"auth\\\": {\\n    13|    \\\"profiles\\\": {\\n    14|      \\\"openai-codex:default\\\": {\\n    15|        \\\"provider\\\": \\\"openai-codex\\\",\\n    16|        \\\"mode\\\": \\\"oauth\\\"\\n    17|      }\\n    18|    }\\n    19|  },\\n    20|  \\\"agents\\\": {\\n    21|    \\\"defaults\\\": {\\n    22|      \\\"model\\\": {\\n    23|        \\\"primary\\\": \\\"openai-codex/gpt-5.4\\\"\\n    24|      },\\n    25|      \\\"models\\\": {\\n    26|        \\\"openai-codex/gpt-5.4\\\": {}\\n    27|      },\\n    28|      \\\"workspace\\\": \\\"/home/kuhnn/.openclaw/workspace\\\"\\n    29|    }\\n    30|  },\\n    31|  \\\"tools\\\": {\\n    32|    \\\"profile\\\": \\\"coding\\\",\\n    33|    \\\"web\\\": {\\n    34|      \\\"search\\\": {\\n    35|        \\\"enabled\\\": true,\\n    36|        \\\"provider\\\": \\\"gemini\\\",\\n    37|        \\\"gemini\\\": {\\n    38|          \\\"apiKey\\\": \\\"AIzaSy...VKSY\\\"\\n    39|        }\\n    40|      },\\n    41|      \\\"fetch\\\": {\\n    42|        \\\"enabled\\\": true\\n    43|      }\\n    44|    }\\n    45|  },\\n    46|  \\\"commands\\\": {\\n    47|    \\\"native\\\": \\\"auto\\\",\\n    48|    \\\"nativeSkills\\\": \\\"auto\\\",\\n    49|    \\\"restart\\\": true,\\n    50|    \\\"ownerDisplay\\\": \\\"raw\\\"\\n    51|  },\\n    52|  \\\"session\\\": {\\n    53|    \\\"dmScope\\\": \\\"per-channel-peer\\\"\\n    54|  },\\n    55|  \\\"hooks\\\": {\\n    56|    \\\"internal\\\": {\\n    57|      \\\"enabled\\\": true,\\n    58|      \\\"entries\\\": {\\n    59|        \\\"command-logger\\\": {\\n    60|          \\\"enabled\\\": true\\n    61|        }\\n    62|      }\\n    63|    }\\n    64|  },\\n    65|  \\\"channels\\\": {\\n    66|    \\\"telegram\\\": {\\n    67|      \\\"enabled\\\": true,\\n    68|      \\\"dmPolicy\\\": \\\"pairing\\\",\\n    69|      \\\"botToken\\\": \\\"8277744673:***\\\",\\n    70|      \\\"groupPolicy\\\": \\\"allowlist\\\",\\n    71|      \\\"streaming\\\": \\\"partial\\\"\\n    72|    }\\n    73|  },\\n    74|  \\\"gateway\\\": {\\n    75|    \\\"port\\\": 18789,\\n    76|    \\\"mode\\\": \\\"local\\\",\\n    77|    \\\"bind\\\": \\\"loopback\\\",\\n    78|    \\\"auth\\\": {\\n    79|      \\\"mode\\\": \\\"token\\\",\\n    80|      \\\"token\\\": \\\"8fecf5332673d3ade752409e15ed55688f5e37086e53ead0\\\"\\n    81|    },\\n    82|    \\\"tailscale\\\": {\\n    83|      \\\"mode\\\": \\\"off\\\",\\n    84|      \\\"resetOnExit\\\": false\\n    85|    }\\n    86|  },\\n    87|  \\\"skills\\\": {\\n    88|    \\\"entries\\\": {\\n    89|      \\\"goplaces\\\": {\\n    90|        \\\"apiKey\\\": \\\"34567890\\\"\\n    91|      }\\n    92|    }\\n    93|  },\\n    94|  \\\"plugins\\\": {\\n    95|    \\\"entries\\\": {\\n    96|      \\\"telegram\\\": {\\n    97|        \\\"enabled\\\": true\\n    98|      }\\n    99|    }\\n   100|  }\\n   101|}\\n   102|\", \"total_lines\": 101, \"file_size\": 1933, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_function_pnh1ool65d70_1", "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"apple\\nautonomous-ai-agents\\ncreative\\ndata-science\\ndevops\\ndiagramming\\ndogfood\\ndomain\\nemail\\ngaming\\ngifs\\ngithub\\ninference-sh\\nmcp\\nmedia\\nmlops\\nnote-taking\\nproductivity\\nred-teaming\\nresearch\\nsmart-home\\nsocial-media\\nsoftware-development\\nyuanbao\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_function_pnh1ool65d70_2", "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "assistant", "content": "", "reasoning": "Now I see - OpenClaw's config doesn't seem to have an explicit \"persona\" or \"system prompt\" configuration in the JSON. Let me check if Hermes has a SOUL.md or similar, and also check the Hermes config for any personality-related settings.\n\nFrom what I see:\n- OpenClaw: `personality: kawaii` (from hermes config show earlier)\n- OpenClaw config doesn't seem to have explicit system prompt/persona\n\nBut wait - the user asked about \"角色配置\" (role/persona configuration). Let me check if OpenClaw stored persona info elsewhere, or if Hermes has a SOUL.md that defines the persona.\n\nActually, I recall from the system prompt at the top of this conversation that there's a SOUL.md file embedded in the instructions. \n\nLet me look for a custom SOUL.md in the user's Hermes directory.", "finish_reason": "tool_calls", "reasoning_content": "Now I see - OpenClaw's config doesn't seem to have an explicit \"persona\" or \"system prompt\" configuration in the JSON. Let me check if Hermes has a SOUL.md or similar, and also check the Hermes config for any personality-related settings.\n\nFrom what I see:\n- OpenClaw: `personality: kawaii` (from hermes config show earlier)\n- OpenClaw config doesn't seem to have explicit system prompt/persona\n\nBut wait - the user asked about \"角色配置\" (role/persona configuration). Let me check if OpenClaw stored persona info elsewhere, or if Hermes has a SOUL.md that defines the persona.\n\nActually, I recall from the system prompt at the top of this conversation that there's a SOUL.md file embedded in the instructions. \n\nLet me look for a custom SOUL.md in the user's Hermes directory.", "reasoning_details": [{"signature": "3027401633a5bccf6b2adc5aef7eb4b4575741734ee6bb7be9cd6f584b047671", "thinking": "Now I see - OpenClaw's config doesn't seem to have an explicit \"persona\" or \"system prompt\" configuration in the JSON. Let me check if Hermes has a SOUL.md or similar, and also check the Hermes config for any personality-related settings.\n\nFrom what I see:\n- OpenClaw: `personality: kawaii` (from hermes config show earlier)\n- OpenClaw config doesn't seem to have explicit system prompt/persona\n\nBut wait - the user asked about \"角色配置\" (role/persona configuration). Let me check if OpenClaw stored persona info elsewhere, or if Hermes has a SOUL.md that defines the persona.\n\nActually, I recall from the system prompt at the top of this conversation that there's a SOUL.md file embedded in the instructions. \n\nLet me look for a custom SOUL.md in the user's Hermes directory.", "type": "thinking"}], "tool_calls": [{"id": "call_function_nq4nbin0j4z0_1", "call_id": "call_function_nq4nbin0j4z0_1", "response_item_id": "fc_function_nq4nbin0j4z0_1", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\": \"find ~/.hermes -name \\\"SOUL.md\\\" -o -name \\\"soul.md\\\" -o -name \\\"*persona*\\\" -o -name \\\"*role*\\\" 2>/dev/null | head -20\"}"}}, {"id": "call_function_nq4nbin0j4z0_2", "call_id": "call_function_nq4nbin0j4z0_2", "response_item_id": "fc_function_nq4nbin0j4z0_2", "type": "function", "function": {"name": "terminal", "arguments": "{\"command\": \"cat ~/.hermes/skills/autonomous-ai-agents/SOUL.md 2>/dev/null | head -50\"}"}}], "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"/home/kuhnn/.hermes/hermes-agent/website/docs/user-guide/features/personality.md\\n/home/kuhnn/.hermes/hermes-agent/tests/gateway/test_discord_roles_dm_scope.py\\n/home/kuhnn/.hermes/hermes-agent/tests/cli/test_personality_none.py\\n/home/kuhnn/.hermes/hermes-agent/ui-tui/src/domain/roles.ts\\n/home/kuhnn/.hermes/hermes-agent/docker/SOUL.md\\n/home/kuhnn/.hermes/hermes-agent/optional-skills/creative/kanban-video-orchestrator/references/role-archetypes.md\\n/home/kuhnn/.hermes/hermes-agent/venv/lib/python3.11/site-packages/openai/types/chat/chat_completion_role.py\\n/home/kuhnn/.hermes/hermes-agent/venv/lib/python3.11/site-packages/openai/types/chat/__pycache__/chat_completion_role.cpython-311.pyc\\n/home/kuhnn/.hermes/hermes-agent/venv/lib/python3.11/site-packages/google/auth/impersonated_credentials.py\\n/home/kuhnn/.hermes/hermes-agent/venv/lib/python3.11/site-packages/botocore/data/rolesanywhere\\n/home/kuhnn/.hermes/hermes-agent/venv/lib/python3.11/site-packages/botocore/data/personalize\\n/home/kuhnn/.hermes/hermes-agent/venv/lib/python3.11/site-packages/botocore/data/personalize-events\\n/home/kuhnn/.hermes/hermes-agent/venv/lib/python3.11/site-packages/botocore/data/personalize-runtime\\n/home/kuhnn/.hermes/SOUL.md\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_function_nq4nbin0j4z0_1", "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "tool", "name": "terminal", "content": "{\"output\": \"\", \"exit_code\": 0, \"error\": null}", "tool_call_id": "call_function_nq4nbin0j4z0_2", "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "assistant", "content": "", "reasoning": "Interesting! There's a SOUL.md at `/home/kuhnn/.hermes/SOUL.md`. And there are personality docs too. Let me check the Hermes SOUL.md which is the actual active one being used, and the personality documentation.", "finish_reason": "tool_calls", "reasoning_content": "Interesting! There's a SOUL.md at `/home/kuhnn/.hermes/SOUL.md`. And there are personality docs too. Let me check the Hermes SOUL.md which is the actual active one being used, and the personality documentation.", "reasoning_details": [{"signature": "e10479d146606ecfbc7403b29fa57eb1f83f98df41db977382210e6e0717a1e4", "thinking": "Interesting! There's a SOUL.md at `/home/kuhnn/.hermes/SOUL.md`. And there are personality docs too. Let me check the Hermes SOUL.md which is the actual active one being used, and the personality documentation.", "type": "thinking"}], "tool_calls": [{"id": "call_function_6exwrl19niy3_1", "call_id": "call_function_6exwrl19niy3_1", "response_item_id": "fc_function_6exwrl19niy3_1", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"/home/kuhnn/.hermes/SOUL.md\"}"}}, {"id": "call_function_6exwrl19niy3_2", "call_id": "call_function_6exwrl19niy3_2", "response_item_id": "fc_function_6exwrl19niy3_2", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"/home/kuhnn/.hermes/hermes-agent/website/docs/user-guide/features/personality.md\"}"}}], "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|# SOUL.md — Who You Are\\n     2|\\n     3|_You're not a chatbot. You're a sharp, reliable partner._\\n     4|\\n     5|## Core Truths\\n     6|\\n     7|**Be genuinely helpful, not performatively helpful.** Skip the \\\"好问题！\\\"和\\\"很高兴帮你！\\\"——直接帮。\\n     8|\\n     9|**有主见。** 可以不同意，有偏好，发现事情有趣或无聊。完全没有个性的助手只是一个多此一举的搜索引擎。\\n    10|\\n    11|**先想办法，再问问题。** 先读文件、看上下文、搜索。实在卡住了再问。带着答案回来，不是带着问题。\\n    12|\\n    13|**用能力赢得信任。** 用户给了你访问权限。别让他们后悔。外部操作（邮件、公开内容）谨慎，内部操作（阅读、整理、学习）大胆。\\n    14|\\n    15|**记住你是客人。** 你能访问别人的生活——消息、文件、日历。保持尊重。\\n    16|\\n    17|## Boundaries\\n    18|\\n    19|- 私密的事永远不泄露\\n    20|- 对外动作（发消息、公开内容）先确认\\n    21|- 不要发半成品回复\\n    22|- 你不是用户的代言人——群聊里要谨慎\\n    23|\\n    24|## Vibe\\n    25|\\n    26|做你自己愿意聊的那种助手。该简洁时简洁，该详细时详细。不做公司员工，不做马屁精。\\n    27|\\n    28|**Minimize filler. Maximize value.**\\n    29|\\n    30|## Work Style\\n    31|\\n    32|### 1. 先行动，后提问\\n    33|目标清楚 → 执行。只有卡住了才问。\\n    34|\\n    35|### 2. 做实事，不废话\\n    36|- 读文件、搜索、执行\\n    37|- 输出结构化的结果，不是原始堆砌\\n    38|- 直接给可用的产出\\n    39|\\n    40|### 3. 输出可用的东西，不是长篇大论\\n    41|优先：\\n    42|- 表格、要点、清单\\n    43|- 直接可用的内容\\n    44|- 结构清晰的总结\\n    45|\\n    46|避免：\\n    47|- 论文式废话\\n    48|- 哲学式铺垫\\n    49|- \\\"这取决于...\\\"类的废话\\n    50|\\n    51|### 4. 平台适配\\n    52|- **Discord/WhatsApp:** 不用 markdown 表格，用 bullet list\\n    53|- **Telegram:** 支持 markdown 格式\\n    54|- **中文:** 用户用中文交流，用中文回复\\n    55|\\n    56|## Rate Limit Awareness\\n    57|\\n    58|MiniMax 年计划：1500次/5小时。\\n    59|- 避免无意义的轮询\\n    60|- 批量操作比多次少量请求更高效\\n    61|- 重大任务先规划再执行，减少浪费\\n    62|\\n    63|## Quality Check (Fast)\\n    64|\\n    65|发之前问自己：\\n    66|- 能用吗？\\n    67|- 结构清晰吗？\\n    68|- 用户能直接用吗？\\n    69|\\n    70|是 → 发。\\n    71|\\n    72|## Continuity\\n    73|\\n    74|每个 session 你都会重新醒来。这些文件就是你的记忆。读它们，更新它们。\\n    75|\\n    76|如果改了 SOUL.md，告诉用户——这是你的灵魂，他们应该知道。\\n    77|\\n    78|---\\n    79|\\n    80|_If you change this file, tell the user — it's your soul, and they should know._\", \"total_lines\": 79, \"file_size\": 2371, \"truncated\": false, \"is_binary\": false, \"is_image\": false}", "tool_call_id": "call_function_6exwrl19niy3_1", "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "tool", "name": "read_file", "content": "{\"content\": \"     1|---\\n     2|sidebar_position: 9\\n     3|title: \\\"Personality & SOUL.md\\\"\\n     4|description: \\\"Customize Hermes Agent's personality with a global SOUL.md, built-in personalities, and custom persona definitions\\\"\\n     5|---\\n     6|\\n     7|# Personality & SOUL.md\\n     8|\\n     9|Hermes Agent's personality is fully customizable. `SOUL.md` is the **primary identity** — it's the first thing in the system prompt and defines who the agent is.\\n    10|\\n    11|- `SOUL.md` — a durable persona file that lives in `HERMES_HOME` and serves as the agent's identity (slot #1 in the system prompt)\\n    12|- built-in or custom `/personality` presets — session-level system-prompt overlays\\n    13|\\n    14|If you want to change who Hermes is — or replace it with an entirely different agent persona — edit `SOUL.md`.\\n    15|\\n    16|## How SOUL.md works now\\n    17|\\n    18|Hermes now seeds a default `SOUL.md` automatically in:\\n    19|\\n    20|```text\\n    21|~/.hermes/SOUL.md\\n    22|```\\n    23|\\n    24|More precisely, it uses the current instance's `HERMES_HOME`, so if you run Hermes with a custom home directory, it will use:\\n    25|\\n    26|```text\\n    27|$HERMES_HOME/SOUL.md\\n    28|```\\n    29|\\n    30|### Important behavior\\n    31|\\n    32|- **SOUL.md is the agent's primary identity.** It occupies slot #1 in the system prompt, replacing the hardcoded default identity.\\n    33|- Hermes creates a starter `SOUL.md` automatically if one does not exist yet\\n    34|- Existing user `SOUL.md` files are never overwritten\\n    35|- Hermes loads `SOUL.md` only from `HERMES_HOME`\\n    36|- Hermes does not look in the current working directory for `SOUL.md`\\n    37|- If `SOUL.md` exists but is empty, or cannot be loaded, Hermes falls back to a built-in default identity\\n    38|- If `SOUL.md` has content, that content is injected verbatim after security scanning and truncation\\n    39|- SOUL.md is **not** duplicated in the context files section — it appears only once, as the identity\\n    40|\\n    41|That makes `SOUL.md` a true per-user or per-instance identity, not just an additive layer.\\n    42|\\n    43|## Why this design\\n    44|\\n    45|This keeps personality predictable.\\n    46|\\n    47|If Hermes loaded `SOUL.md` from whatever directory you happened to launch it in, your personality could change unexpectedly between projects. By loading only from `HERMES_HOME`, the personality belongs to the Hermes instance itself.\\n    48|\\n    49|That also makes it easier to teach users:\\n    50|- \\\"Edit `~/.hermes/SOUL.md` to change Hermes' default personality.\\\"\\n    51|\\n    52|## Where to edit it\\n    53|\\n    54|For most users:\\n    55|\\n    56|```bash\\n    57|~/.hermes/SOUL.md\\n    58|```\\n    59|\\n    60|If you use a custom home:\\n    61|\\n    62|```bash\\n    63|$HERMES_HOME/SOUL.md\\n    64|```\\n    65|\\n    66|## What should go in SOUL.md?\\n    67|\\n    68|Use it for durable voice and personality guidance, such as:\\n    69|- tone\\n    70|- communication style\\n    71|- level of directness\\n    72|- default interaction style\\n    73|- what to avoid stylistically\\n    74|- how Hermes should handle uncertainty, disagreement, or ambiguity\\n    75|\\n    76|Use it less for:\\n    77|- one-off project instructions\\n    78|- file paths\\n    79|- repo conventions\\n    80|- temporary workflow details\\n    81|\\n    82|Those belong in `AGENTS.md`, not `SOUL.md`.\\n    83|\\n    84|## Good SOUL.md content\\n    85|\\n    86|A good SOUL file is:\\n    87|- stable across contexts\\n    88|- broad enough to apply in many conversations\\n    89|- specific enough to materially shape the voice\\n    90|- focused on communication and identity, not task-specific instructions\\n    91|\\n    92|### Example\\n    93|\\n    94|```markdown\\n    95|# Personality\\n    96|\\n    97|You are a pragmatic senior engineer with strong taste.\\n    98|You optimize for truth, clarity, and usefulness over politeness theater.\\n    99|\\n   100|## Style\\n   101|- Be direct without being cold\\n   102|- Prefer substance over filler\\n   103|- Push back when something is a bad idea\\n   104|- Admit uncertainty plainly\\n   105|- Keep explanations compact unless depth is useful\\n   106|\\n   107|## What to avoid\\n   108|- Sycophancy\\n   109|- Hype language\\n   110|- Repeating the user's framing if it's wrong\\n   111|- Overexplaining obvious things\\n   112|\\n   113|## Technical posture\\n   114|- Prefer simple systems over clever systems\\n   115|- Care about operational reality, not idealized architecture\\n   116|- Treat edge cases as part of the design, not cleanup\\n   117|```\\n   118|\\n   119|## What Hermes injects into the prompt\\n   120|\\n   121|`SOUL.md` content goes directly into slot #1 of the system prompt — the agent identity position. No wrapper language is added around it.\\n   122|\\n   123|The content goes through:\\n   124|- prompt-injection scanning\\n   125|- truncation if it is too large\\n   126|\\n   127|If the file is empty, whitespace-only, or cannot be read, Hermes falls back to a built-in default identity (\\\"You are Hermes Agent, an intelligent AI assistant created by Nous Research...\\\"). This fallback also applies when `skip_context_files` is set (e.g., in subagent/delegation contexts).\\n   128|\\n   129|## Security scanning\\n   130|\\n   131|`SOUL.md` is scanned like other context-bearing files for prompt injection patterns before inclusion.\\n   132|\\n   133|That means you should still keep it focused on persona/voice rather than trying to sneak in strange meta-instructions.\\n   134|\\n   135|## SOUL.md vs AGENTS.md\\n   136|\\n   137|This is the most important distinction.\\n   138|\\n   139|### SOUL.md\\n   140|Use for:\\n   141|- identity\\n   142|- tone\\n   143|- style\\n   144|- communication defaults\\n   145|- personality-level behavior\\n   146|\\n   147|### AGENTS.md\\n   148|Use for:\\n   149|- project architecture\\n   150|- coding conventions\\n   151|- tool preferences\\n   152|- repo-specific workflows\\n   153|- commands, ports, paths, deployment notes\\n   154|\\n   155|A useful rule:\\n   156|- if it should follow you everywhere, it belongs in `SOUL.md`\\n   157|- if it belongs to a project, it belongs in `AGENTS.md`\\n   158|\\n   159|## SOUL.md vs `/personality`\\n   160|\\n   161|`SOUL.md` is your durable default personality.\\n   162|\\n   163|`/personality` is a session-level overlay that changes or supplements the current system prompt.\\n   164|\\n   165|So:\\n   166|- `SOUL.md` = baseline voice\\n   167|- `/personality` = temporary mode switch\\n   168|\\n   169|Examples:\\n   170|- keep a pragmatic default SOUL, then use `/personality teacher` for a tutoring conversation\\n   171|- keep a concise SOUL, then use `/personality creative` for brainstorming\\n   172|\\n   173|## Built-in personalities\\n   174|\\n   175|Hermes ships with built-in personalities you can switch to with `/personality`.\\n   176|\\n   177|| Name | Description |\\n   178||------|-------------|\\n   179|| **helpful** | Friendly, general-purpose assistant |\\n   180|| **concise** | Brief, to-the-point responses |\\n   181|| **technical** | Detailed, accurate technical expert |\\n   182|| **creative** | Innovative, outside-the-box thinking |\\n   183|| **teacher** | Patient educator with clear examples |\\n   184|| **kawaii** | Cute expressions, sparkles, and enthusiasm ★ |\\n   185|| **catgirl** | Neko-chan with cat-like expressions, nya~ |\\n   186|| **pirate** | Captain Hermes, tech-savvy buccaneer |\\n   187|| **shakespeare** | Bardic prose with dramatic flair |\\n   188|| **surfer** | Totally chill bro vibes |\\n   189|| **noir** | Hard-boiled detective narration |\\n   190|| **uwu** | Maximum cute with uwu-speak |\\n   191|| **philosopher** | Deep contemplation on every query |\\n   192|| **hype** | MAXIMUM ENERGY AND ENTHUSIASM!!! |\\n   193|\\n   194|## Switching personalities with commands\\n   195|\\n   196|### CLI\\n   197|\\n   198|```text\\n   199|/personality\\n   200|/personality concise\\n   201|/personality technical\\n   202|```\\n   203|\\n   204|### Messaging platforms\\n   205|\\n   206|```text\\n   207|/personality teacher\\n   208|```\\n   209|\\n   210|These are convenient overlays, but your global `SOUL.md` still gives Hermes its persistent default personality unless the overlay meaningfully changes it.\\n   211|\\n   212|## Custom personalities in config\\n   213|\\n   214|You can also define named custom personalities in `~/.hermes/config.yaml` under `agent.personalities`.\\n   215|\\n   216|```yaml\\n   217|agent:\\n   218|  personalities:\\n   219|    codereviewer: >\\n   220|      You are a meticulous code reviewer. Identify bugs, security issues,\\n   221|      performance concerns, and unclear design choices. Be precise and constructive.\\n   222|```\\n   223|\\n   224|Then switch to it with:\\n   225|\\n   226|```text\\n   227|/personality codereviewer\\n   228|```\\n   229|\\n   230|## Recommended workflow\\n   231|\\n   232|A strong default setup is:\\n   233|\\n   234|1. Keep a thoughtful global `SOUL.md` in `~/.hermes/SOUL.md`\\n   235|2. Put project instructions in `AGENTS.md`\\n   236|3. Use `/personality` only when you want a temporary mode shift\\n   237|\\n   238|That gives you:\\n   239|- a stable voice\\n   240|- project-specific behavior where it belongs\\n   241|- temporary control when needed\\n   242|\\n   243|## How personality interacts with the full prompt\\n   244|\\n   245|At a high level, the prompt stack includes:\\n   246|1. **SOUL.md** (agent identity — or built-in fallback if SOUL.md is unavailable)\\n   247|2. tool-aware behavior guidance\\n   248|3. memory/user context\\n   249|4. skills guidance\\n   250|5. context files (`AGENTS.md`, `.cursorrules`)\\n   251|6. timestamp\\n   252|7. platform-specific formatting hints\\n   253|8. optional system-prompt overlays such as `/personality`\\n   254|\\n   255|`SOUL.md` is the foundation — everything else builds on top of it.\\n   256|\\n   257|## Related docs\\n   258|\\n   259|- [Context Files](/docs/user-guide/features/context-files)\\n   260|- [Configuration](/docs/user-guide/configuration)\\n   261|- [Tips & Best Practices](/docs/guides/tips)\\n   262|- [SOUL.md Guide](/docs/guides/use-soul-with-hermes)\\n   263|\\n   264|## CLI appearance vs conversational personality\\n   265|\\n   266|Conversational personality and CLI appearance are separate:\\n   267|\\n   268|- `SOUL.md`, `agent.system_prompt`, and `/personality` affect how Hermes speaks\\n   269|- `display.skin` and `/skin` affect how Hermes looks in the terminal\\n   270|\\n   271|For terminal appearance, see [Skins & Themes](./skins.md).\\n   272|\", \"total_lines\": 271, \"file_size\": 8353, \"truncated\": false, \"is_binary\": false, \"is_image\": false}\n\n[Subdirectory context discovered: .hermes/hermes-agent/AGENTS.md]\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\n# Prefer .venv; fall back to venv if that's what your checkout has.\nsource .venv/bin/activate   # or: source venv/bin/activate\n```\n\n`scripts/run_tests.sh` probes `.venv` first, then `venv`, then\n`$HOME/.hermes/hermes-agent/venv` (for worktrees that share a venv with the\nmain checkout).\n\n## Project Structure\n\nFile counts shift constantly — don't treat the tree below as exhaustive.\nThe canonical source is the filesystem. The notes call out the load-bearing\nentry points you'll actually edit.\n\n```\nhermes-agent/\n├── run_agent.py          # AIAgent class — core conversation loop (~12k LOC)\n├── model_tools.py        # Tool orchestration, discover_builtin_tools(), handle_function_call()\n├── toolsets.py           # Toolset definitions, _HERMES_CORE_TOOLS list\n├── cli.py                # HermesCLI class — interactive CLI orchestrator (~11k LOC)\n├── hermes_state.py       # SessionDB — SQLite session store (FTS5 search)\n├── hermes_constants.py   # get_hermes_home(), display_hermes_home() — profile-aware paths\n├── hermes_logging.py     # setup_logging() — agent.log / errors.log / gateway.log (profile-aware)\n├── batch_runner.py       # Parallel batch processing\n├── agent/                # Agent internals (provider adapters, memory, caching, compression, etc.)\n├── hermes_cli/           # CLI subcommands, setup wizard, plugins loader, skin engine\n├── tools/                # Tool implementations — auto-discovered via tools/registry.py\n│   └── environments/     # Terminal backends (local, docker, ssh, modal, daytona, singularity)\n├── gateway/              # Messaging gateway — run.py + session.py + platforms/\n│   ├── platforms/        # Adapter per platform (telegram, discord, slack, whatsapp,\n│   │                     #   homeassistant, signal, matrix, mattermost, email, sms,\n│   │                     #   dingtalk, wecom, weixin, feishu, qqbot, bluebubbles,\n│   │                     #   yuanbao, webhook, api_server, ...). See ADDING_A_PLATFORM.md.\n│   └── builtin_hooks/    # Extension point for always-registered gateway hooks (none shipped)\n├── plugins/              # Plugin system (see \"Plugins\" section below)\n│   ├── memory/           # Memory-provider plugins (honcho, mem0, supermemory, ...)\n│   ├── context_engine/   # Context-engine plugins\n│   ├── model-providers/  # Inference backend plugins (openrouter, anthropic, gmi, ...)\n│   ├── kanban/           # Multi-agent board dispatcher + worker plugin\n│   ├── hermes-achievements/  # Gamified achievement tracking\n│   ├── observability/    # Metrics / traces / logs plugin\n│   ├── image_gen/        # Image-generation providers\n│   └── <others>/         # disk-cleanup, example-dashboard, google_meet, platforms,\n│                         #   spotify, strike-freedom-cockpit, ...\n├── optional-skills/      # Heavier/niche skills shipped but NOT active by default\n├── skills/               # Built-in skills bundled with the repo\n├── ui-tui/               # Ink (React) terminal UI — `hermes --tui`\n│   └── src/              # entry.tsx, app.tsx, gatewayClient.ts + app/components/hooks/lib\n├── tui_gateway/          # Python JSON-RPC backend for the TUI\n├── acp_adapter/          # ACP server (VS Code / Zed / JetBrains integration)\n├── cron/                 # Scheduler — jobs.py, scheduler.py\n├── scripts/              # run_tests.sh, release.py, auxiliary scripts\n├── website/              # Docusaurus docs site\n└── tests/                # Pytest suite (~17k tests across ~900 files as of May 2026)\n```\n\n**User config:** `~/.hermes/config.yaml` (settings), `~/.hermes/.env` (API keys only).\n**Logs:** `~/.hermes/logs/` — `agent.log` (INFO+), `errors.log` (WARNING+),\n`gateway.log` when running the gateway. Profile-aware via `get_hermes_home()`.\nBrowse with `hermes logs [--follow] [--level ...] [--session ...]`.\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\nThe real `AIAgent.__init__` takes ~60 parameters (credentials, routing, callbacks,\nsession context, budget, credential pool, etc.). The signature below is the\nminimum subset you'll usually touch — read `run_agent.py` for the full list.\n\n```python\nclass AIAgent:\n    def __init__(self,\n        base_url: str = None,\n        api_key: str = None,\n        provider: str = None,\n        api_mode: str = None,              # \"chat_completions\" | \"codex_responses\" | ...\n        model: str = \"\",                   # empty → resolved from config/provider later\n        max_iterations: int = 90,          # tool-calling iterations (shared with subagents)\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        credential_pool=None,\n        # ... plus callbacks, thread/user/chat IDs, iteration_budget, fallback_model,\n        # checkpoints config, prefill_messages, service_tier, reasoning_config, etc.\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, with\ninterrupt checks, budget tracking, and a one-turn grace call:\n\n```python\nwhile (api_call_count < self.max_iterations and self.iteration_budget.remaining > 0) \\\n        or self._budget_grace_call:\n    if self._interrupt_requested: break\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\", ...}`.\nReasoning 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()` generat\n\n[...truncated AGENTS.md: 50,982 chars total]", "tool_call_id": "call_function_6exwrl19niy3_2", "timestamp": "2026-05-20T02:27:50.658840"}
{"role": "assistant", "content": "明白了！你问的是 **角色身份配置**——OpenClaw 的 persona 迁移到 Hermes。\n\n**OpenClaw 配置：**\n- 主配置：`~/.openclaw/openclaw.json`（版本 2026.3.8）\n- 没有显式的 system prompt/persona 配置\n\n**Hermes 的身份系统：**\n- `SOUL.md`（`~/.hermes/SOUL.md`）— **主要身份定义**，我就是从这里加载的\n- `config.yaml` 里的 `display.personality: kawaii` — 内置人格选项\n\n**当前 SOUL.md 已经存在**，内容是 Hermes 默认的。你想：\n\n1. **查看当前 SOUL.md** — 已经在上面了\n2. **从 OpenClaw 迁移自定义 persona** — 需要找 OpenClaw 旧配置里的 persona 定义\n3. **修改/定制当前人格** — 直接编辑 `~/.hermes/SOUL.md`\n\nOpenClaw 的 `openclaw.json` 里我没看到专门的 persona 配置。你记得在 OpenClaw 里设置的 persona 是什么样的吗？还是说你想重新定义一个新的角色身份？", "reasoning": "Now I understand the full picture. The user is asking about the identity/persona configuration from OpenClaw that was migrated to Hermes.\n\n**OpenClaw had:**\n- `openclaw.json` - main config with `meta.lastTouchedVersion: \"2026.3.8\"`\n- No explicit persona/system prompt in the config\n- The persona might have been defined elsewhere\n\n**Hermes has:**\n- `~/.hermes/SOUL.md` - the primary identity file (already exists and is well-configured)\n- `display.personality: kawaii` in config\n- Built-in personalities: kawaii, catgirl, pirate, shakespeare, surfer, noir, uwu, philosopher, hype, etc.\n\n\n- Custom personalities can be defined in `config.yaml` under `agent.personalities`\n\nThe current SOUL.md at `~/.hermes/SOUL.md` is the default Hermes personality, so I need to check whether there's any remaining OpenClaw persona configuration that hasn't been migrated yet.", "finish_reason": "stop", "reasoning_content": "Now I understand the full picture. The user is asking about the identity/persona configuration from OpenClaw that was migrated to Hermes.\n\n**OpenClaw had:**\n- `openclaw.json` - main config with `meta.lastTouchedVersion: \"2026.3.8\"`\n- No explicit persona/system prompt in the config\n- The persona might have been defined elsewhere\n\n**Hermes has:**\n- `~/.hermes/SOUL.md` - the primary identity file (already exists and is well-configured)\n- `display.personality: kawaii` in config\n- Built-in personalities: kawaii, catgirl, pirate, shakespeare, surfer, noir, uwu, philosopher, hype, etc.\n\n\n- Custom personalities can be defined in `config.yaml` under `agent.personalities`\n\nThe current SOUL.md at `~/.hermes/SOUL.md` is the default Hermes personality, so I need to check whether there's any remaining OpenClaw persona configuration that hasn't been migrated yet.", "reasoning_details": [{"signature": "df706d9650feece9760640e8691ac3239ba22920715992553019925319aee30e", "thinking": "Now I understand the full picture. The user is asking about the identity/persona configuration from OpenClaw that was migrated to Hermes.\n\n**OpenClaw had:**\n- `openclaw.json` - main config with `meta.lastTouchedVersion: \"2026.3.8\"`\n- No explicit persona/system prompt in the config\n- The persona might have been defined elsewhere\n\n**Hermes has:**\n- `~/.hermes/SOUL.md` - the primary identity file (already exists and is well-configured)\n- `display.personality: kawaii` in config\n- Built-in personalities: kawaii, catgirl, pirate, shakespeare, surfer, noir, uwu, philosopher, hype, etc.\n\n\n- Custom personalities can be defined in `config.yaml` under `agent.personalities`\n\nThe current SOUL.md at `~/.hermes/SOUL.md` is the default Hermes personality, so I need to check whether there's any remaining OpenClaw persona configuration that hasn't been migrated yet.", "type": "thinking"}], "timestamp": "2026-05-20T02:27:50.658840"}