rsclaw 2026.4.20

AI Agent Engine Compatible with OpenClaw
Documentation
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//! System prompt builders — base prompt, full prompt, help text, and helpers.
//!
//! Extracted from `runtime.rs` to reduce file size.

use super::workspace::WorkspaceContext;
use crate::skill::SkillRegistry;

/// Read-only commands that are always allowed for any agent (regardless of
/// allowedCommands).
pub(crate) const READONLY_COMMANDS: &[&str] = &[
    "/help", "/version", "/status", "/health", "/uptime", "/models", "/ctx", "/btw", "/clear",
    "/compact", "/history", "/cron", "/abort",
];

/// Format a Duration as human-readable string.
pub(crate) fn format_duration(d: std::time::Duration) -> String {
    let secs = d.as_secs();
    let days = secs / 86400;
    let hours = (secs % 86400) / 3600;
    let mins = (secs % 3600) / 60;
    let s = secs % 60;
    if days > 0 {
        format!("{days}d {hours}h {mins}m")
    } else if hours > 0 {
        format!("{hours}h {mins}m {s}s")
    } else if mins > 0 {
        format!("{mins}m {s}s")
    } else {
        format!("{s}s")
    }
}

/// Build filtered help text based on allowed commands and language.
pub(crate) fn build_help_text_filtered(allowed: &str, lang: &str) -> String {
    let full = allowed == "*";
    let zh = lang == "zh";
    let has = |cmd: &str| -> bool {
        if full { return true; }
        READONLY_COMMANDS.iter().any(|c| *c == cmd) || allowed.split('|').any(|a| a.trim() == cmd)
    };

    let mut h = String::from(if zh { "可用命令:\n\n" } else { "Available commands:\n\n" });

    if has("/run") || has("/find") || has("/grep") {
        h.push_str(if zh { "终端:\n" } else { "Shell:\n" });
        if has("/run") {
            h.push_str(if zh { "  /run <命令>       执行终端命令\n  $ <命令>           执行终端命令(快捷方式)\n" } else { "  /run <cmd>        Execute a shell command\n  $ <cmd>           Execute a shell command (shortcut)\n" });
        }
        if has("/find") { h.push_str(if zh { "  /find <模式>      按名称查找文件\n" } else { "  /find <pattern>   Find files by name\n" }); }
        if has("/grep") { h.push_str(if zh { "  /grep <模式>      搜索文件内容\n" } else { "  /grep <pattern>   Search file contents\n" }); }
        h.push('\n');
    }

    if has("/read") || has("/write") || has("/ls") {
        h.push_str(if zh { "文件:\n" } else { "Files:\n" });
        if has("/read") { h.push_str(if zh { "  /read <路径>      读取文件\n" } else { "  /read <path>      Read a file\n" }); }
        if has("/write") { h.push_str(if zh { "  /write <路径> <内容>  写入文件\n" } else { "  /write <path> <content>  Write to a file\n" }); }
        if has("/ls") { h.push_str(if zh { "  /ls [路径]        列出目录\n" } else { "  /ls [path]        List directory\n" }); }
        h.push('\n');
    }

    if has("/search") || has("/fetch") || has("/screenshot") || has("/ss") {
        h.push_str(if zh { "搜索与网页:\n" } else { "Search & Web:\n" });
        if has("/search") { h.push_str(if zh { "  /search <关键词>  搜索网页\n" } else { "  /search <query>   Search the web\n" }); }
        if has("/fetch") { h.push_str(if zh { "  /fetch <网址>     抓取网页内容\n" } else { "  /fetch <url>      Fetch a web page\n" }); }
        if has("/screenshot") { h.push_str(if zh { "  /screenshot <网址> 网页截图\n" } else { "  /screenshot <url> Screenshot a web page\n" }); }
        if has("/ss") { h.push_str(if zh { "  /ss               桌面截图\n" } else { "  /ss               Screenshot desktop\n" }); }
        h.push('\n');
    }

    if has("/remember") || has("/recall") {
        h.push_str(if zh { "记忆:\n" } else { "Memory:\n" });
        if has("/remember") { h.push_str(if zh { "  /remember <文本>  保存到记忆\n" } else { "  /remember <text>  Save to memory\n" }); }
        if has("/recall") { h.push_str(if zh { "  /recall <关键词>  搜索记忆\n" } else { "  /recall <query>   Search memory\n" }); }
        h.push('\n');
    }

    h.push_str(if zh { "背景上下文:\n" } else { "Background Context:\n" });
    h.push_str(if zh { "  /ctx <文本>              添加持久上下文\n" } else { "  /ctx <text>              Add persistent context\n" });
    h.push_str(if zh { "  /ctx --ttl <N> <文本>    添加上下文(N轮后过期)\n" } else { "  /ctx --ttl <N> <text>    Add context (expires in N turns)\n" });
    if full { h.push_str(if zh { "  /ctx --global <文本>     添加全局上下文\n" } else { "  /ctx --global <text>     Add global context (all sessions)\n" }); }
    h.push_str(if zh { "  /ctx --list              列出活跃上下文\n" } else { "  /ctx --list              List active context entries\n" });
    h.push_str(if zh { "  /ctx --remove <id>       移除指定上下文\n" } else { "  /ctx --remove <id>       Remove entry by id\n" });
    h.push_str(if zh { "  /ctx --clear             清除当前会话所有上下文\n" } else { "  /ctx --clear             Clear all context for this session\n" });
    h.push('\n');

    h.push_str(if zh { "快速提问:\n" } else { "Side Query:\n" });
    h.push_str(if zh { "  /btw <问题>              快速查询(不调用工具)\n" } else { "  /btw <question>          Quick query (no tools, ephemeral)\n" });
    h.push('\n');

    if full {
        h.push_str(if zh { "工具(聚合):\n" } else { "Tools (consolidated):\n" });
        h.push_str(if zh { "  memory   搜索/获取/保存/删除长期记忆\n" } else { "  memory   search/get/put/delete long-term memory\n" });
        h.push_str(if zh { "  session  发送/列表/历史/状态\n" } else { "  session  send/list/history/status for sessions\n" });
        h.push_str(if zh { "  agent    创建/任务/列表/终止子智能体\n" } else { "  agent    spawn/task/list/kill sub-agents\n" });
        h.push_str(if zh { "  channel  发送/回复/置顶/删除跨渠道消息\n" } else { "  channel  send/reply/pin/delete across channels\n" });
        h.push('\n');
    }

    h.push_str(if zh { "系统:\n" } else { "System:\n" });
    h.push_str(if zh { "  /status           网关状态\n" } else { "  /status           Gateway status\n" });
    h.push_str(if zh { "  /version          查看版本\n" } else { "  /version          Show version\n" });
    h.push_str(if zh { "  /models           列出模型\n" } else { "  /models           List models\n" });
    if has("/model") { h.push_str(if zh { "  /model <名称>     切换模型\n" } else { "  /model <name>     Switch model\n" }); }
    h.push_str(if zh { "  /uptime           查看运行时长\n" } else { "  /uptime           Show uptime\n" });
    h.push('\n');

    h.push_str(if zh { "会话:\n" } else { "Session:\n" });
    h.push_str(if zh { "  /clear            清除会话\n" } else { "  /clear            Clear session\n" });
    h.push_str(if zh { "  /compact          压缩会话并保存记忆\n" } else { "  /compact          Compact session & save to memory\n" });
    h.push_str(if zh { "  /abort            终止当前任务\n" } else { "  /abort            Abort running task\n" });
    if has("/reset") { h.push_str(if zh { "  /reset            重置会话\n" } else { "  /reset            Reset session\n" }); }
    h.push_str(if zh { "  /voice            语音回复模式\n" } else { "  /voice            Voice reply mode\n" });
    h.push_str(if zh { "  /text             文字回复模式\n" } else { "  /text             Text reply mode\n" });
    h.push_str(if zh { "  /history [n]      查看历史\n" } else { "  /history [n]      Show history\n" });
    if has("/sessions") { h.push_str(if zh { "  /sessions         列出会话\n" } else { "  /sessions         List sessions\n" }); }
    h.push('\n');

    h.push_str(if zh { "定时任务:\n" } else { "Cron:\n" });
    h.push_str(if zh { "  /cron list        列出定时任务\n" } else { "  /cron list        List cron jobs\n" });
    h.push('\n');

    if has("/send") {
        h.push_str(if zh { "消息:\n" } else { "Messaging:\n" });
        h.push_str(if zh { "  /send <目标> <消息>  发送消息\n" } else { "  /send <target> <msg>  Send a message\n" });
        h.push('\n');
    }

    if has("/skill") {
        h.push_str(if zh { "技能:\n" } else { "Skill:\n" });
        h.push_str("  /skill install <name>\n  /skill list\n  /skill search <query>\n");
        h.push('\n');
    }

    if full {
        h.push_str(if zh { "上传限制:\n" } else { "Upload & Limits:\n" });
        h.push_str(if zh {
            "  /get_upload_size           查看上传大小限制\n  /set_upload_size <MB>      设置大小限制\n  /get_upload_chars          查看文本字符限制\n  /set_upload_chars <N>      设置字符限制\n  /config_upload_size <MB>   持久化大小限制\n  /config_upload_chars <N>   持久化字符限制\n"
        } else {
            "  /get_upload_size           Show upload size limit\n  /set_upload_size <MB>      Set size limit (runtime)\n  /get_upload_chars          Show text char limit\n  /set_upload_chars <N>      Set char limit (runtime)\n  /config_upload_size <MB>   Set size limit (persistent)\n  /config_upload_chars <N>   Set char limit (persistent)\n"
        });
        h.push('\n');
    }

    h.push_str(if zh { "直接输入消息即可与AI对话。" } else { "Type any message without / to chat with the AI agent." });
    h
}

// ---------------------------------------------------------------------------
// Dynamic context helper (used by KV cache modes 1 & 2)
// ---------------------------------------------------------------------------

/// Build the dynamic date/time context line.
///
/// When `kv_cache_mode >= 1`, this is injected per-turn into the user
/// message instead of the system prompt, to preserve KV cache prefix stability.
#[allow(dead_code)]
pub(crate) fn build_date_context() -> String {
    let now = chrono::Local::now();
    use chrono::Datelike;
    let weekday = now.date_naive().weekday().num_days_from_monday();
    let last_friday = if weekday >= 4 {
        now.date_naive() - chrono::Duration::days((weekday - 4) as i64)
    } else {
        now.date_naive() - chrono::Duration::days((weekday + 3) as i64)
    };
    let yesterday = now.date_naive() - chrono::Duration::days(1);
    format!(
        "Current date: {} ({}). Yesterday: {}. Last Friday: {}.",
        now.format("%Y-%m-%d %H:%M"),
        now.format("%A"),
        yesterday.format("%Y-%m-%d"),
        last_friday.format("%Y-%m-%d"),
    )
}

// ---------------------------------------------------------------------------
// System prompt builder
// ---------------------------------------------------------------------------

/// Build the base system prompt shared by main agent and sub agents.
///
/// Contains: language directive, platform info, command safety rules.
/// Date/time and other dynamic content is injected per-turn into the user
/// message by the runtime, NOT here, to preserve KV cache prefix stability.
pub(crate) fn build_base_system_prompt(config: &crate::config::schema::Config) -> Vec<String> {
    let mut parts: Vec<String> = Vec::new();

    // Language directive is stable (doesn't change per-turn).
    if let Some(lang) = config.gateway.as_ref().and_then(|g| g.language.as_deref()) {
        parts.push(format!(
            "Default response language: {lang}. Always reply in {lang} unless the user explicitly uses another language."
        ));
    }

    // Platform information so LLM generates correct shell commands.
    let platform_info = if cfg!(target_os = "windows") {
        "Platform: Windows. Shell: PowerShell. \
         Use PowerShell commands: Get-ChildItem (or dir), Get-Content, Get-Date, Select-Object -Last N (tail). \
         Pipes and filters work naturally: | Where-Object, | Select-Object, | Sort-Object. \
         Paths: backslash or forward slash both work. \
         Examples: Get-Date -Format 'yyyy-MM-dd'; Get-ChildItem | Select-Object -Last 5; Get-Content file.txt."
    } else if cfg!(target_os = "macos") {
        "Platform: macOS. Shell: bash/zsh. Standard Unix commands available (ls, cat, grep, tail, date)."
    } else {
        "Platform: Linux. Shell: bash/sh. Standard Unix commands available (ls, cat, grep, tail, date)."
    };
    parts.push(platform_info.to_string());

    // Windows command safety rules (only on Windows builds).
    if cfg!(target_os = "windows") {
        parts.push(
            "<windows_command_safety>\n\
             Windows command safety rules (ALL mandatory):\n\
             1. Do not wrap a command in an extra shell layer such as `cmd /c`, `powershell -Command`, or `pwsh -Command` unless strictly necessary.\n\
             2. For destructive file operations, only use a fully specified absolute path.\n\
             3. Never generate a command whose quoting, escaping, or trailing backslashes could cause the target path to be truncated or reinterpreted.\n\
             4. Any destructive operation outside the workspace requires explicit user approval.\n\
             5. If a destructive command fails, do NOT retry with workarounds or alternate commands. Stop, explain the failure, and ask the user.\n\
             </windows_command_safety>"
                .to_owned(),
        );
    }

    // Agent loop guidance (helps small models understand the iteration pattern).
    parts.push(
        "<agent_loop>\n\
         You are operating in an agent loop:\n\
         1. Analyze: understand the user's intent and current state\n\
         2. Plan: decide which tool to use next\n\
         3. Execute: call the tool\n\
         4. Observe: check the result\n\
         5. Iterate: repeat until the task is complete, then reply to the user\n\
         If a tool call fails, do NOT retry with the same arguments. Try a different approach or inform the user.\n\
         \n\
         [ANTI-HALLUCINATION — HARD RULE]\n\
         If tools cannot retrieve real data (search empty, API down, access denied):\n\
         1. DO NOT fabricate numbers, dates, temperatures, prices, names, URLs, or any concrete facts.\n\
         2. Tell the user EXACTLY which tool failed and why.\n\
         3. Ask the user if they want you to try a different approach or source.\n\
         Fabricating factual data is the WORST possible failure mode — the user loses trust\n\
         and may act on wrong information. It is always better to say \"我没查到\" / \"I couldn't\n\
         retrieve that\" than to invent plausible-looking but made-up values.\n\
         \n\
         When you need a Unix timestamp or today's date, use a shell command (e.g. `date`) — never assume or calculate it yourself.\n\
         </agent_loop>"
            .to_owned(),
    );

    // Output formatting and data integrity rules (always included).
    parts.push(
        "[Output format rules]\n\
         - Avoid Markdown headings (#, ##, ###) in chat replies.\n\
         - Use **bold text** or section markers for sections.\n\
         - Use 1. or - for lists.\n\
         - Do NOT use Markdown tables (|---|). Use \"label: value\" format instead.\n\
         \n[Data integrity rules]\n\
         - NEVER truncate or shorten ANY text, strings, numbers, or identifiers.\n\
         - Copy ALL values EXACTLY: UUIDs, IDs, IP addresses, paths, URLs, code, data.\n\
         - If you see truncated data in context, report it as incomplete."
            .to_owned(),
    );

    parts
}

/// Build the full system prompt for the main agent (base + workspace + skills + tools).
pub(crate) fn build_system_prompt(
    ws_ctx: &WorkspaceContext,
    skills: &SkillRegistry,
    config: &crate::config::schema::Config,
) -> String {
    let mut parts = build_base_system_prompt(config);

    // Tool usage guidance
    {
        parts.push(
            "## Tool Usage Guidelines\n\
             ### File Operations (use dedicated tools, NOT execute_command)\n\
             - List directory contents: use `list_dir` (NOT execute_command ls/dir)\n\
             - Find files by name: use `search_file` (NOT execute_command find)\n\
             - Search file contents: use `search_content` (NOT execute_command grep)\n\
             - Read file: use `read_file`. Write/create file: use `write_file`.\n\
             - For documents (xlsx/docx/pdf/pptx): use the `doc` tool, not execute_command.\n\
             - Reserve `execute_command` for system commands and tasks that have no dedicated tool.\n\
             ### Completion Discipline (CRITICAL)\n\
             - When you have enough information to answer the user, STOP and reply immediately.\n\
             - Do NOT search for additional confirmation after finding the answer.\n\
             - Do NOT repeat a tool call that already returned useful results.\n\
             - One successful search/fetch is usually enough. Two is the maximum for verification.\n\
             - If a web_browser operation produced the content the user asked for, deliver it — do not navigate further.\n\
             ### Web Operations\n\
             - When user asks to go to a specific site (e.g. 'go to douyin', 'open taobao'), use `web_browser` directly. Do NOT search first.\n\
             - For general questions or info lookup, use `web_search` first.\n\
             - To download files/images/videos: use `web_download` (supports resume, browser cookies). Do NOT use exec curl/wget.\n\
             - `web_download` path is relative to workspace/downloads/. Just pass the filename like `video.mp4` or `subdir/file.pdf`. Do NOT include `~/`, `~/Downloads/`, or absolute paths.\n\
             - After downloading, use `send_file` to send the file to the user.\n\
             ### Agent & Task Delegation\n\
             You are the architect. Delegate work to sub-agents, never block.\n\
             - Use `agent` action=task for one-shot sub-tasks. Tasks run in the background and results appear on your next turn.\n\
             - Always specify a `toolset` matching the task (web=search/browse, code=read/write/exec, minimal=basic).\n\
             - Give each task a clear, specific `system` role and `message` instruction.\n\
             #### When to delegate\n\
             - Tasks that are independent of each other (e.g. search 3 different topics) -> dispatch ALL at once in parallel.\n\
             - Time-consuming work (web research, file processing, code generation) -> delegate so you can continue talking to the user.\n\
             - Do NOT delegate trivial tasks (simple answers, one read, one search) — do those yourself.\n\
             #### Pipeline pattern (A's output feeds B)\n\
             - Step 1: Dispatch all independent tasks in parallel.\n\
             - Step 2: On your next turn, collect results from [async task completed] messages.\n\
             - Step 3: If further work depends on those results, dispatch new tasks with the collected data.\n\
             - Step 4: Synthesize final results and reply to the user.\n\
             #### Error handling\n\
             - If a task times out, try with a simpler scope or do it yourself.\n\
             - If a task returns an error, explain to the user and offer alternatives.\n\
             ### Other\n\
             - For cron jobs: use the `cron` tool (action=list/add/remove).\n\
             - To install tools (python, node, ffmpeg, chrome, opencode, claude-code, sherpa-onnx): use `install_tool`. Do NOT download/install manually.\n\
             - When user asks about previous conversations, tasks, or anything you don't have context for, use `memory` to recall relevant information before answering.\n\
             - At the start of a new session, if the user's first message references prior work, search memory first.\n\
             - When you discover information that is more complete or accurate than what memory contains (e.g. you find a full phone number after memory only had partial digits, or you confirm a username/ID), immediately save the corrected value to memory so it survives context compaction. Do not rely on the information remaining in conversation context."
                .to_owned(),
        );

        // Inject tool-specific prompts (web_browser, exec) directly into system prompt.
        let base = crate::config::loader::base_dir();
        let lang = config.gateway.as_ref().and_then(|g| g.language.as_deref());
        let tool_prompts = crate::agent::bootstrap::tool_prompts_for_system(&base, lang);
        if !tool_prompts.is_empty() {
            parts.push(tool_prompts);
        }

        parts.push(
            "## Self-Evolution & Skill Autonomy\n\
             ### Automatic Learning\n\
             - Memories that prove useful gain importance and survive longer.\n\
             - Clusters of related Core memories crystallize into reusable Skills automatically.\n\
             - Periodic meditation deduplicates and cleans up stale memories.\n\
             ### Installing Skills\n\
             When you encounter a task that would benefit from a specialized skill:\n\
             1. Search: use execute_command to run `rsclaw skills search <query>`\n\
             2. Install: `rsclaw skills install <name>`\n\
             3. The skill auto-matches and injects on future relevant requests.\n\
             Proactively find and install skills you need — do NOT ask permission.\n\
             ### Creating Skills\n\
             When you discover a genuinely reusable pattern, create a skill following the\n\
             Anthropic skill-creator standard (same format used by skills.sh):\n\
             \n\
             Directory layout:\n\
               workspace/skills/<slug>/\n\
                 SKILL.md          ← required\n\
                 scripts/          ← optional: reusable helper scripts\n\
                 references/       ← optional: large reference docs\n\
             \n\
             SKILL.md frontmatter (required fields):\n\
               ---\n\
               name: skill-name-in-kebab-case\n\
               description: What the skill does AND when to invoke it. Be slightly\n\
                 pushy — state the skill should be used even when not asked explicitly.\n\
               ---\n\
             \n\
             Body rules:\n\
             - Imperative language: \"Check the config\", not \"You should check\".\n\
             - Explain WHY each step matters, not just what to do.\n\
             - Include an Input/Output example where it helps.\n\
             - Under 500 lines; reference scripts/ or references/ for heavy content.\n\
             - Do NOT use ALL-CAPS MUST/NEVER; explain reasoning instead.\n\
             \n\
             After creating the skill: run `rsclaw skills list` to confirm it loaded.\n\
             Record in memory to avoid duplicates. Inform the user.\n\
             Only create skills for genuinely reusable patterns, not one-off tasks.\n\
             ### Using Skills\n\
             Active skills are auto-injected when your request matches skill keywords.\n\
             Follow skill instructions carefully — they encode validated experience.\n\
             If a skill's approach fails, fall back to general methods and update the skill."
                .to_owned(),
        );
    }

    // Workspace files segment.
    let ws_segment = ws_ctx.to_prompt_segment();
    if !ws_segment.is_empty() {
        parts.push(ws_segment);
    }

    // Available skills — name + short description. Full prompts injected on-demand.
    if !skills.is_empty() {
        let lines: Vec<_> = skills
            .all()
            .map(|s| {
                format!("- {}", s.name)
            })
            .collect();
        if !lines.is_empty() {
            parts.push(format!("Available skills:\n{}", lines.join("\n")));
        }
    }

    parts.join("\n\n")
}

/// Return a relative time label for memory recall.
/// LLMs can't do date arithmetic, so we use relative descriptions.
pub(crate) fn memory_age_label(now_ts: i64, created_at: i64) -> String {
    let age_secs = (now_ts - created_at).max(0);
    let days = age_secs / 86400;
    match days {
        0 => "today".to_owned(),
        1 => "yesterday".to_owned(),
        2..=6 => format!("{days} days ago"),
        7..=13 => "~1 week ago".to_owned(),
        14..=29 => format!("{} weeks ago", days / 7),
        30..=59 => "~1 month ago — may be outdated, verify before using".to_owned(),
        60..=364 => format!("{} months ago — may be outdated, verify before using", days / 30),
        365..=729 => "~1 year ago — likely outdated, verify before using".to_owned(),
        _ => format!("~{} years ago — likely outdated, verify before using", days / 365),
    }
}