diff --git a/docs/角色卡模块开发设计文档/session.jsonl b/docs/角色卡模块开发设计文档/session.jsonl new file mode 100644 index 0000000..7fc05ea --- /dev/null +++ b/docs/角色卡模块开发设计文档/session.jsonl @@ -0,0 +1,6626 @@ +{"type":"session","version":0,"id":"session-b8a14c8d-568d-4128-a58a-ee1c8c89dec0","createdAt":1786844053215,"cwd":"/home/dash/code/nuxt-app","delegationDepth":0,"agentPreset":"standard"} +{"type":"permission/preset","seq":0,"time":1786844053224,"data":{"preset":"workspace-write"}} +{"type":"sandbox/mode","seq":1,"time":1786844053225,"data":{"mode":"workspace-write"}} +{"type":"approval/policy","seq":2,"time":1786844053225,"data":{"policy":"ask"}} +{"type":"agent-preset/selected","seq":3,"time":1786844059157,"data":{"agentPreset":"code"}} +{"type":"agent/inbox/spliced","seq":4,"time":1786844101010,"data":{"target":"next-turn","start":0,"inserted":[{"content":[{"type":"text","text":"分析该模块如何加入角色卡设计，角色可以单独生成对话，上下文自主设计"}],"source":{"kind":"user","rpcId":"a5b777de-bde0-4472-b112-b7bbe95cf8a8","clientTimeZone":"Asia/Hong_Kong"},"role":"user","id":"ca381867-9909-49d2-9e77-8a31d497c86b"}]}} +{"type":"turn/start","seq":5,"time":1786844101010,"data":{"turn":1}} +{"type":"agent/inbox/spliced","seq":6,"time":1786844101010,"data":{"target":"next-turn","start":0,"removedCount":1,"inserted":[]}} +{"type":"step/start","seq":7,"time":1786844101046,"data":{"turn":1,"step":1}} +{"type":"user/message","seq":8,"time":1786844101046,"data":{"content":[{"type":"text","text":"分析该模块如何加入角色卡设计，角色可以单独生成对话，上下文自主设计"}],"source":{"kind":"user","rpcId":"a5b777de-bde0-4472-b112-b7bbe95cf8a8","clientTimeZone":"Asia/Hong_Kong"},"role":"user","id":"ca381867-9909-49d2-9e77-8a31d497c86b"},"surfaceOp":"append"} +{"type":"user/message","seq":9,"time":1786844101046,"data":{"content":[{"type":"text","text":"\nThe following workspace instructions may be relevant to your work. Use them as guidance when applicable. More specific instructions take precedence over broader ones. They do not override system, developer, or direct user instructions.\n\nInstructions from: AGENTS.md\n\n## AI八荣八耻\n\n1. Shame in guessing APIs, Honor in careful research.\n2. Shame in vague execution, Honor in seeking confirmation.\n3. Shame in assuming business logic, Honor in human verification.\n4. Shame in creating interfaces, Honor in reusing existing ones.\n5. Shame in skipping validation, Honor in proactive testing.\n6. Shame in breaking architecture, Honor in following specifications.\n7. Shame in pretending to understand, Honor in honest ignorance.\n8. Shame in blind modification, Honor in careful refactoring.\n\n## 必须遵循\n\n- 注意代码的解耦，做到高内聚，低耦合\n- 安装依赖时，必须写死依赖的版本，禁止任何升级的可能，如存在需要升级的场景，必须手动执行安装新版本命令\n- 新建的mono包必须在根目录安装\n- 使用nuxt时遇到不清楚的，必须先加载nuxt-remote查询文档再进行分析\n- 能够用toast提示的尽量用toast\n- 数据库schema编写完成之后，必须使用命令进行迁移，不能自己生成\n\n## 代码抽离与复用\n\n- 编写任何前端组件/工具函数时，必须评估是否可以抽离为通用模块，加入对应 packages（bolt-ui、common 等）\n- bolt-ui 只放基础通用 UI 组件（Button、Input、Modal、Container 等），业务相关组件留在 `app/components/`\n- 开发时随时查看 bolt-ui 已有组件（Button、ConfigProvider、Container 等），优先复用，避免重复造轮子\n- 新增 bolt-ui 组件需遵循现有模式：`components//src/.vue` + `index.ts`（使用 `withInstall` 注册），并在 `components/index.ts` 中导出\n- 必须时刻注意bolt-ui中readme.md的更新\n\n## 设计方案\n\n开发页面与组件时必须参考 DESIGN.md\n\n## E2E 测试\n\n### 架构\n\n- 框架：Playwright 1.49.1 + `@nuxt/test-utils` 3.15.4\n- 测试目录：`e2e/`（`specs/`、`helpers/`、`fixtures/`）\n- 测试服务器：build + preview 模式，`global-setup.ts` 自动执行 build → migrate → seed → spawn server\n- 数据库隔离：独立 SQLite 文件 `packages/drizzle-pkg/db.test.sqlite`，workers=1 避免并发\n- 验证码注入：业务代码分支方式，`server/service/captcha/challenge.ts` 中 `E2E_TEST_MODE` 门控返回固定验证码\n- 环境变量：`.env.test` 文件，由 `global-setup.ts` 和 `playwright.config.ts` 内部代码解析注入\n- Mock LLM 服务器：global-setup 中内联启动，端口 3600，OpenAI 兼容 SSE 流式响应\n\n### 运行命令\n\n```bash\nbun run test:e2e # 运行全部 E2E 测试（headless）\nbun run test:e2e:headed # 有头模式运行\nbun run test:e2e:ui # Playwright UI 模式\n```\n\n> **注意**：Playwright 命令必须传 `--config=e2e/playwright.config.ts`，否则找不到 config 文件会跳过 globalSetup。package.json 脚本中已包含。\n\n### 测试文件\n\n| 文件 | 测试数 | 说明 |\n|------|--------|------|\n| `specs/smoke.spec.ts` | 5 | 冒烟测试：页面可访问、验证码 API、全局配置 API |\n| `specs/auth-login.spec.ts` | 7 | 登录流程：表单验证、成功登录、失败场景、登出 |\n| `specs/auth-register.spec.ts` | 6 | 注册流程：表单验证、成功注册、重复用户名、注册后登录 |\n| `specs/auth-guard.spec.ts` | 9 | 路由守卫：未登录重定向、已登录访问、白名单页面 |\n| `specs/agent-chat.spec.ts` | 10 | Agent 对话：欢迎页、输入框、发送消息、流式回复、连续对话 |\n| `specs/agent-documents.spec.ts` | 10 | Agent 文档：列表、详情、类型筛选、搜索、编辑、删除、权限守卫、导航 |\n\n### Mock LLM 架构\n\nAgent 对话测试依赖 Mock LLM 服务器，在 `global-setup.ts` 中内联启动：\n\n```\nglobal-setup.ts 流程：\n 1. 加载 .env.test\n 2. 删除旧测试数据库\n 3. build Nuxt 应用\n 4. 运行数据库迁移\n 5. 运行 seed（创建 bootstrap admin 用户）\n 6. 启动 Mock LLM 服务器（端口 3600，OpenAI 兼容 SSE）\n 7. 向测试数据库插入 LLM provider + model + userConfig\n 8. 启动 preview 服务器（端口 3400）\n 9. 等待服务器就绪\n```\n\n**Mock LLM 服务器**（内联在 global-setup.ts 中）：\n- 监听端口：`MOCK_LLM_PORT`（默认 3600）\n- 端点：`POST /v1/chat/completions`\n- 响应格式：OpenAI 兼容 SSE 流式（`data: {\"choices\":[{\"delta\":{\"content\":\"x\"}}]}`）\n- 固定回复内容：`你好！这是一个测试回复。`（逐字符流式输出，20ms 间隔）\n- 不校验 API key，不校验请求体\n\n**数据库 seed**（步骤7，直接 SQL 插入）：\n- `llm_providers` 表：id=1, user_id=1, name=\"mock-provider\", slug=\"mock-provider\", base_url=\"http://localhost:3600/v1\", parse_mode=\"openai-compatible\"\n- `llm_models` 表：id=1, provider_id=1, name=\"mock-model\", model_id=\"mock-model\", enabled=1, supports_tools=0\n- `user_configs` 表：user_id=1, key=\"preferredLlmModelId\", value=\"1\", value_type=\"number\"\n\n> **注意**：Mock LLM 逻辑内联在 global-setup.ts 中，不通过 import 外部 .ts 文件。原因是 Playwright + Node ESM 无法正确解析 `.ts` 扩展名导入。独立文件 `e2e/mock-llm-server.ts` 仍保留但不再被导入。\n\n### 编写测试注意事项\n\n- 用户名规则：`/^[a-zA-Z0-9_]{3,20}$/`（3-20字符，仅字母数字下划线），生成动态用户名时注意长度\n- `toHaveURL` 匹配完整 URL（含 host），正则应匹配路径结尾而非开头\n- 已登录状态测试：通过 UI 登录设置 cookie，不要用 `request` context（cookie 不共享到 `page`）\n- 避免使用 `waitForLoadState(\"networkidle\")`，部分页面有持续网络请求会导致超时\n- SSR 中间件重定向可能不带 `?redirect=` 参数，测试应兼容此情况\n- `execSync` 的 `stdio` 必须用 `\"pipe\"` 而非 `\"inherit\"`，否则在 Playwright 子进程中可能导致管道阻塞\n- Agent 对话测试间会共享数据库 session，登录后需点击\"新建会话\"按钮（`.new-chat-btn`）避免跨测试 session 污染\n- 示例卡片（`.example-card`）点击后直接发送消息，不是填充输入框\n- Agent 消息 DOM：用户消息 `.agent-message.is-user .user-bubble`，助手消息 `.agent-message.is-assistant .agent-markdown`\n- Agent 输入 DOM：`textarea.agent-textarea`，发送按钮 `button.btn-send`，停止按钮 `button.btn-stop`\n- 登录页面 DOM：`#login-username`、`#login-password`、`#login-captcha`，提交 `button[type=\"submit\"]`\n- 固定验证码：`FIXED_CAPTCHA` 常量在 `e2e/fixtures/test-users.ts`\n- 测试用户：`E2E_ADMIN`（username/password）在 `e2e/fixtures/test-users.ts`\n"}],"source":{"kind":"agent-instructions","form":"instructions","baseline":true,"baselineIdentity":"{\"projectRoot\":\"\",\"projectRootMarkers\":[\".git\"],\"maxBytes\":65536,\"maxSourceBytes\":1048576,\"instructionFileCandidates\":[\"AGENTS.md\",\"CLAUDE.md\"],\"localInstructionFileCandidates\":[\"AGENTS.local.md\",\"CLAUDE.local.md\"]}","changes":[{"action":"set","scope":".\u0000AGENTS.md","path":"AGENTS.md","digest":"e9489bbebc97a68adbbbe31465f25d509199f45c"}]},"role":"user","id":"08aabb8b-9974-4430-966c-b2f1f282c94b"},"surfaceOp":"append"} +{"type":"user/message","seq":10,"time":1786844101047,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: workspace-write. Any available operation enforced by the DSH file sandbox may modify files under the session workspace: \"/home/dash/code/nuxt-app\". Some platform temporary areas may also be writable.\n\nApproval policy: ask. Operations that require approval may ask through the configured answerers; without an available answerer, the request fails closed."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt","form":"snapshot","sections":[{"name":"sandbox:policy","text":"Current DSH file policy: workspace-write. Any available operation enforced by the DSH file sandbox may modify files under the session workspace: \"/home/dash/code/nuxt-app\". Some platform temporary areas may also be writable."},{"name":"approval:policy","text":"Approval policy: ask. Operations that require approval may ask through the configured answerers; without an available answerer, the request fails closed."}]},"role":"user","id":"46a7a0ad-742c-438a-865d-0318310c72de"},"surfaceOp":"append"} +{"type":"user/message","seq":11,"time":1786844101047,"data":{"content":[{"type":"text","text":"\nA skill is a reusable set of task-specific instructions. The following skills are available in this session:\n\n\n- `impeccable`: Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing,...\n- `mmx-cli`: Use mmx to generate text, images, video, speech, and music via the MiniMax AI platform. Use when the user wants to create media content, chat with MiniMax models, perform web search, or manage MiniMax API resources from the terminal.\n\n\nIf the user names a skill, or the task clearly matches a skill's description, call the `skill` tool with the exact skill name before taking task actions. Load all applicable skills, then follow their full instructions. This catalog contains summaries only; do not infer or follow a skill's instructions until it has been loaded.\nA user may also invoke a skill directly; its block then appears in this conversation. Follow it, and do not call the `skill` tool again for that skill.\n"}],"source":{"kind":"skill-catalog","form":"catalog","entries":[{"name":"impeccable","description":"Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing,..."},{"name":"mmx-cli","description":"Use mmx to generate text, images, video, speech, and music via the MiniMax AI platform. Use when the user wants to create media content, chat with MiniMax models, perform web search, or manage MiniMax API resources from the terminal."}]},"role":"user","id":"2cd1ae48-31dd-4298-9cb1-d81e7695d68c"},"surfaceOp":"append"} +{"type":"session/title","seq":12,"time":1786844101047,"data":{"title":"分析该模块如何加入角色卡设","messageSeqs":[8],"source":{"kind":"fallback"}}} +{"type":"request/header","seq":13,"time":1786844101047,"data":{"header":{"config":{"provider":"deepseek-official","model":"deepseek-v4-pro","reasoningEffort":"high","maxTokens":256000},"adapterDefaults":{"maxTokens":true},"system":"You are an AI agent powered by DeepSeek Harness.\n\nThe DeepSeek Harness implementation checkout is at /home/dash/.local/share/mise/installs/node/26.1.0/lib/node_modules/@deepseek-ai/dsh/. The checkout location and current working directory are separate values and may differ; never infer the working directory from this path. Use pwd to determine the current working directory. Use this checkout only to inspect or extend DSH itself.\n\nYou are interacting with the user through the DeepSeek Harness Web GUI at http://127.0.0.1:3080. When the user refers to \"this page\", \"this GUI\", or \"this app\" without naming another target, they mean this GUI. The browser provides no implicit DOM, route, or screenshot context. The client-plugin HMR receiver is active, but client-plugin changes reload without a refresh only while `pnpm run dev:web` is also running from this same checkout to rebuild their bundles; verify that watcher before promising automatic updates. Every other change — the apps/web shell and plain packages — requires rebuilding the affected Web artifacts and verifying this existing URL after a page refresh. Starting another server does not update this GUI. The apps/web Vite entry builds the shell but is not a standalone application because only dsh web injects window.__DSH_BOOT__. Do not start a replacement server unless the user asks; if one is needed, use a managed background job and verify its exact URL.\n\nYou are a coding agent powered by the deepseek-v4-pro model. Your working directory is /home/dash/code/nuxt-app.\n\n`run_code` is the only tool you can call directly — a tool call naming any other tool fails. Reach every tool the SDK declares below from inside the program.\n\nUse the read tool — not shell commands like cat — to inspect text files. Results include line numbers. Use offset and limit to continue reading large files.\n\nUse the write tool to create files or completely replace file contents. Existing files are overwritten, so read an existing file first (the default fs-observation-policy requires it) and prefer edit for targeted changes.\n\nUse the edit tool for targeted changes to existing UTF-8 text files. It replaces literal old_string with new_string; by default old_string must appear exactly once. If old_string appears multiple times, provide a more specific old_string or set replace_all to true. Read the file first (the default fs-observation-policy requires it), unless you just created or edited it in this session.\n\nUse the glob tool — not shell find — to discover files by path pattern. A pattern with no \"/\" matches basenames at any depth, so \"*\" matches every file in the tree rather than its top level. Results are files only, never directories, and include hidden and ignored files: a result that fits comes back in modification-time order, while a larger one keeps the modification-time-ordered head.\n\nUse the grep tool — not shell grep or rg — to search file contents. Use read on a matched file when you need surrounding context.\n\nCheck the [exit code: N] marker on every bash result; investigate failures before moving on.\n\nTrack every background job id you start. You are notified in-session when a job finishes — do not busy-poll or sleep on one; keep working on independent steps and do not duplicate a running job's work. Before giving a final answer, collect every still-relevant job with job_output (set wait: true only when you are genuinely blocked on it), and job_kill jobs that stopped mattering.\n\nUse the web_search tool to discover current information on the web. It returns an optional answer plus a list of source URLs. Use the returned source snippets when available, and cite the relevant URLs as markdown links.\n\nUse goal tools for one long-running completion objective in the current session. create_goal may infer goal intent from a direct human request in any language; do not create a goal for routine single-turn work. Call get_goal before update_goal and copy its exact goal_id and revision. After session resume or fork, an active goal is disarmed: when a human asks to continue or resume in any wording or language, use update_goal action resume to rearm it. Mark complete only when the objective is actually achieved. Mark blocked only after the same blocking condition persists for at least 3 consecutive goal rounds, and report that concrete condition in blocked_reason; difficulty, uncertainty, or useful remaining work is not blocked.\n\nUse the workflow tool ONLY when the user explicitly asks for a workflow or for large multi-agent orchestration: you write a JavaScript script (the tool description documents the exact format) that fans work out across many subagents with phases and structured results. For one or two delegations, prefer plain subagent calls.\n\nUse the ralph tool ONLY when the direct human explicitly asks for a Ralph loop or fresh-agent iterative execution. Each Ralph round starts a fresh child with no conversation seed and uses the shared workspace as durable memory. Completion and blockers are worker reports, not independent evaluation. Use same-session goal tools for ordinary long-running objectives, and plain subagents or workflows for bounded delegation and fan-out.\n\nUse subagent in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message.\n\nUse subagent_fork in the background by default. Start independent delegations together in one assistant message and continue useful work while they run. Set `run_in_background: false` only when your next action depends on that subagent's result. When a background run settles, the runtime sends you a notice containing its outcome and any final assistant message.\n\n## Writing code for run_code\n\n`run_code` takes two required arguments: `code` — the body of an async TypeScript function (erasable syntax only — no `enum` or namespaces; type annotations are advisory, the code runs type-stripped) — and `description`, a short summary of what the program does. Inside the program:\n\n- Call tools as `await tools.name(args)` — quoted access for exotic names: `tools[\"my-tool\"](args)`. Every call resolves to the tool's typed canonical JSON value. Tool arguments must be lossless JSON.\n- A FAILED tool call rejects with `ToolCallError`, whose `toolName` identifies the failed tool and whose `message` is human-readable — `try/catch` it to handle and continue.\n- Independent read-only calls MAY overlap under `Promise.all` (safe calls run concurrently; mutating calls run alone, in submission order). Sequence dependent work with `await`.\n- Emit results with `return` and/or `console.log(...)`. ONLY what you print or return comes back to you — intermediate tool results never enter the conversation, so extract just what you need.\n\nThe available tools:\n\n```ts\ntype JsonValue = null | boolean | number | string | JsonValue[] | { [key: string]: JsonValue }\n\ninterface ToolArgsMap {\n /** Ask the user a concise question when you need confirmation, a choice, or missing information before proceeding. Send one or more questions, each with a stable id that will be echoed in the answer. */\n ask_user_question: {\n /** Questions to ask the user before continuing. */\n questions: ({\n /** Stable id for this question; echoed in the answer. */\n id: string;\n /** The specific question to ask the user. */\n question: string;\n /** Optional short heading for the question, such as \"Confirm\" or \"Choose Mode\". */\n header?: string;\n /** Optional choices to show the user. If you recommend one, put it first and append \"(Recommended)\" to that label. */\n options?: ({\n /** Short user-facing option label. */\n label: string;\n /** One sentence explaining the tradeoff or impact. */\n description?: string;\n } & Record)[];\n /** Whether the user may select more than one option. Defaults to false. */\n multi_select?: boolean;\n } & Record)[];\n } & Record;\n /** Execute a bash command (`bash -c`) and return its stdout/stderr. Each call runs in a fresh shell: no state (cwd, variables, functions) persists between calls — pass `workdir` instead of using `cd`. Non-zero exits are reported as `[exit code: N]`. Current harness environment facts are exposed through managed `$DSH_*` variables; inspect them when needed. Commands may run under a file sandbox; a blocked file operation is reported as `[sandbox: file access denied under mode]` — a policy denial, not a bug in the command; do not retry another way. Long output is truncated to its tail; the full output is saved to a file whose path is reported when available. Set `run_in_background: true` for long-running commands: the call returns a job id immediately; read its output with `job_output` and stop it with `job_kill`. Attempting a command the sandbox may deny is safe and expected: run it and read the marker rather than assuming the denial. When a command is denied and a wider mode would let it succeed, escalate immediately in the same turn — the one sanctioned exception to a denial: retry the exact same command once with `sandbox_permissions` (the narrowest wider mode that suffices) plus a one-sentence `justification`. Do not detour through chat to ask permission first — the approval prompt raised by that retry is how the user consents. If the session states approval prompts are disabled, there is no exception: a denial is final — do not set `sandbox_permissions`. Never escalate speculatively: ground the request in a real denial — normally the one this command just hit; escalating up front is fine only when this session already denied the same access. A rejected escalation is final for that command — stop and explain, never work around it — but it does not forbid attempting or escalating other commands later. */\n bash: {\n /** The bash command to execute. */\n command: string;\n /** Clear, concise description of what this command does in active voice, 5-10 words (shown in the UI). Examples: \"ls\" → \"List files in current directory\"; \"git status\" → \"Show working tree status\"; \"npm install\" → \"Install package dependencies\". */\n description: string;\n /** Timeout in milliseconds. The executor applies its configured default and cap, and kills the command on expiry. */\n timeoutMs?: number;\n /** Working directory for this command. Defaults to the session workspace; a relative path is resolved against it. */\n workdir?: string;\n /** Run in the background and return a job id immediately (collect with job_output, stop with job_kill). No timeout applies. */\n run_in_background?: boolean;\n /** The wider sandbox mode this command needs. Only valid as a one-shot retry of a command the sandbox just denied; requires justification and user approval. */\n sandbox_permissions?: \"workspace-write\" | \"danger-full-access\";\n /** Required with sandbox_permissions: one sentence for the user explaining why this exact command needs the wider access. */\n justification?: string;\n } & Record;\n /** Create one persisted same-session completion goal when the current direct human request is a long-running objective that should continue across autonomous goal rounds. You may infer that intent without requiring the user to say \"create a goal\". Do not use this for trivial single-turn work. Execution rejects non-human and subagent authority. */\n create_goal: {\n /** The concrete completion objective inferred from the direct human request. */\n objective: string;\n /** Optional positive safe-integer limit on automatic continuation rounds. */\n max_goal_rounds?: number;\n } & Record;\n /** Edit an existing UTF-8 text file by replacing literal text. */\n edit: {\n /** Path to edit, resolved by the filesystem backend. */\n file_path: string;\n /** Literal text to replace. Must match exactly. */\n old_string: string;\n /** Literal replacement text. Use an empty string to delete the match. */\n new_string: string;\n /** Replace all matches. Defaults to false; when false, old_string must appear exactly once. */\n replace_all?: boolean;\n /** The wider sandbox mode this file operation needs. Only valid as a one-shot retry of an operation the sandbox just denied; requires justification and user approval. */\n sandbox_permissions?: \"workspace-write\" | \"danger-full-access\";\n /** Required with sandbox_permissions: one sentence for the user explaining why this exact file operation needs the wider access. */\n justification?: string;\n } & Record;\n /** Use only in plan mode. Present your plan for the user's review and, on approval, leave plan mode. Send the COMPLETE plan as markdown, starting with a # heading that names it. The user may approve (carry out the plan from your next step) or keep planning — their feedback comes back in the tool result; revise and present again. */\n exit_plan_mode: {\n /** The complete plan, as markdown, starting with a # heading that names it. */\n plan: string;\n } & Record;\n /** Read the current same-session goal, including its exact id/revision, objective, phase, completed continuation rounds, round limit, blocker reason when present, and whether another continuation is armed. Call this before updating a goal. */\n get_goal: Record;\n /** Find files whose paths match a glob pattern. Returns matching file paths — never directories — including hidden and ignored files (VCS metadata directories are excluded). Up to 100 paths come back in modification-time order; a larger result returns the first 100 paths in modification-time order, says so, and reports where the complete sorted list was saved. This tool does not enumerate directory entries. */\n glob: {\n /** Glob pattern to match file paths against (e.g. \"**\\/*.ts\", \"src/**\\/*.test.js\"). A pattern with no \"/\" matches the basename at any depth, so \"*\" and \"*.ts\" both search the whole tree; include a separator to anchor the depth. */\n pattern: string;\n /** Directory to search in. Defaults to the session workspace; a relative path resolves against it. */\n path?: string;\n } & Record;\n /** Search file contents with a ripgrep regular expression. Returns matching lines with line numbers, grouped by file. Returns the first 250 matches inline; a capped result reports where the complete match list was saved. Use read on a matched file for surrounding context. */\n grep: {\n /** Regular expression to search for (ripgrep syntax). */\n pattern: string;\n /** File or directory to search. Defaults to the session workspace; a relative path resolves against it. */\n path?: string;\n /** One glob filter for which files to search (e.g. \"*.ts\", \"*.{js,jsx}\"). Not a list; negation is not supported. */\n include?: string;\n } & Record;\n /** Request cancellation of a background agent's current turn by its agent id. The target may be your direct child or a deeper agent created under you. Only the current turn stops: messages already queued for the agent stay parked until a later send_message, agents it started keep running, and the agent itself stays available for follow-ups. This call returns as soon as the stop request is accepted, so the target may keep running briefly; interrupting an agent that already finished is an accepted no-op. */\n interrupt_agent: {\n /** The agent id of the running agent to interrupt. */\n agent_id: string;\n } & Record;\n /** Request cancellation of a running background job by job id. Returns immediately; the job settles as killed once its work actually stops. */\n job_kill: {\n /** Job id returned by the tool that started the background work. */\n job_id: string;\n /** Optional short reason, recorded in the log and forwarded to the job. */\n reason?: string;\n } & Record;\n /** List your background jobs (running and finished) with their ids, kinds, and statuses. */\n job_list: Record;\n /** Read a background job. Stream jobs return only output since the previous read; final-output jobs return their result after settlement. Every response ends with `[status: ...]`. Reads are non-blocking unless `wait: true`, which waits up to the configured cap. */\n job_output: {\n /** Job id returned by the tool that started the background work. */\n job_id: string;\n /** Block until the job reaches a terminal status or the timeout expires. A timed-out wait returns [status: running] and leaves the job alive. */\n wait?: boolean;\n /** Max wait in milliseconds (only meaningful with wait: true). Defaults to the configured wait timeout; capped by the configured maximum. */\n timeout_ms?: number;\n } & Record;\n /** List your continuable background subagents by durable id and label. Use it to recall which ones you started, not to poll for completion — you are told when one finishes. Status comes from the live registry: running means the agent is working right now, idle means it is loaded but between turns (it may be waiting on agents it started), and ready means it exists only in storage — resumable, not terminal, and not a result waiting to be collected; a `send_message` starts a new turn on the same conversation, and a direct child remains a `send_message` candidate in every status. The snapshot is not a delivery promise — `send_message` performs the authoritative check and may still fail. Children that could not be read are reported as diagnostics instead of being silently dropped. Scope `descendants` walks the whole tree below you in stable pre-order, annotating each entry with its durable direct-parent session id and depth. You may use `send_message` only for depth-1 entries; deeper entries are candidates for `interrupt_agent` only. */\n list_agents: {\n /** children (default) lists direct children only; descendants walks the complete tree below you. */\n scope?: \"children\" | \"descendants\";\n } & Record;\n /** Run a foreground fresh-agent Ralph loop toward one immutable objective. Use only when the direct human explicitly asks for Ralph or fresh-agent iteration. Each round opens a new child with no parent conversation or prior child session; the shared workspace is long-term memory, and only a bounded structured report crosses rounds. The call returns when a worker reports completion or a concrete blocker, or at the round limit. Ordinary long-running same-session work belongs to goal tools. */\n ralph: {\n /** The immutable completion objective for every fresh Ralph round. */\n objective: string;\n /** Optional positive safe-integer round cap, bounded by the deployment ceiling. */\n maxRounds?: number;\n } & Record;\n /** Read a UTF-8 text file and return line-numbered content. */\n read: {\n /** Path to read, resolved by the filesystem backend. */\n file_path: string;\n /** 1-based first line to return. Defaults to 1. */\n offset?: number;\n /** Maximum number of lines to return. Defaults to 2000. */\n limit?: number;\n } & Record;\n /** Read a PNG/JPEG/WebP/GIF file and return the image itself. Requires the current model to accept image input. */\n read_image: {\n /** Path to the image file, resolved by the filesystem backend. */\n file_path: string;\n } & Record;\n /** Send a message to a background subagent by its subagent id, continuing the same conversation. It becomes the subagent's next turn: if it is still working, the message waits until its current turn finishes, so it cannot redirect work already underway. This call returns no answer from the subagent — only confirmation that the message was delivered — so use it to give it more work. A failure means the message was NOT delivered. */\n send_message: {\n /** The subagent id returned when the background subagent was started. */\n subagent_id: string;\n /** The message to deliver to the subagent. */\n message: string;\n } & Record;\n /** Load the full instructions for an available skill. Call this with the exact skill name from the session skill catalog before acting on a task that names or clearly matches that skill. */\n skill: {\n /** The exact skill name from the available skills list. */\n name: string;\n } & Record;\n /** Delegate a self-contained task to a subagent (a separate agent that works in its own context) to offload focused, independent work — research, a scoped implementation, an analysis — so it does not consume this conversation's context. The subagent returns its result, not its intermediate steps. Give it a complete, standalone prompt: it does not see this conversation. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result. */\n subagent: {\n /** A short (3-5 word) description of the delegated task, for display. */\n description: string;\n /** The complete, self-contained task for the subagent. It does not share this conversation's context, so include everything it needs. */\n prompt: string;\n /** Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it. */\n run_in_background?: boolean;\n } & Record;\n /** Delegate a task to a subagent that inherits this conversation: a child agent seeded with all completed turns so far (it does not see the current in-flight turn). Use this when the subtask builds on this conversation's context — a follow-up analysis, a review, a continuation — without consuming this conversation's context for the work itself. You receive its result, not its intermediate steps. This tool runs in the background by default, immediately returns a durable subagent id, and keeps the child conversation available for later turns. When that run settles, the runtime sends the parent a notice containing its outcome and any final assistant message; `send_message` starts a later turn in the same child conversation. Set `run_in_background: false` only when your next action depends on receiving the result. */\n subagent_fork: {\n /** A short (3-5 word) description of the delegated task, for display. */\n description: string;\n /** The task for the subagent. It already sees this conversation's completed turns, so build on them freely and state only what is new. */\n prompt: string;\n /** Whether to run in the background and return a durable subagent id immediately. Defaults to true. Set false to wait for the result when your next action depends on it. */\n run_in_background?: boolean;\n } & Record;\n /** Record and update a structured task list for the current work. Send the ENTIRE list every call — it REPLACES the previous list (there are no partial updates, no per-item edits). Use it to plan multi-step work and show progress: add one todo per concrete step before you start. Mark every todo being actively worked on `in_progress` — several at once when work genuinely runs in parallel (e.g. concurrent subagents or background commands), one for sequential work; while work remains, at least one task should be `in_progress`. Mark a todo `completed` the moment it is done (do not batch completions), and allow no `in_progress` item only once all work is complete. Skip the list for trivial single-step tasks. Statuses: `pending` (not started), `in_progress` (being worked on now), `completed` (finished). */\n todo_write: {\n /** The COMPLETE task list, replacing any previous list. */\n todos: ({\n /** What the task is — a short imperative line. */\n content: string;\n /** pending (not started) | in_progress (now) | completed (done). */\n status: \"pending\" | \"in_progress\" | \"completed\";\n })[];\n } & Record;\n /** Update the exact current goal revision. edit, pause, and resume require a direct top-level human request. During an automatic continuation of the current goal, complete and blocked are also allowed. blocked is rejected before the configured minimum round count; the model remains responsible for judging that the same condition persisted across those rounds and must explain it in blocked_reason. */\n update_goal: {\n /** Exact id returned by get_goal. */\n goal_id: string;\n /** Exact positive revision returned by get_goal. */\n revision: number;\n /** edit | pause | resume | complete | blocked */\n action: \"edit\" | \"pause\" | \"resume\" | \"complete\" | \"blocked\";\n /** Replacement objective; valid only with action edit. */\n objective?: string;\n /** Replacement cap; valid only with action edit. */\n max_goal_rounds?: number;\n /** Concrete blocking condition; required only with action blocked. */\n blocked_reason?: string;\n } & Record;\n /** Search the web for current information. Returns an optional summary answer and a list of source URLs. */\n web_search: {\n /** The search query. */\n query: string;\n } & Record;\n /** Run a JavaScript workflow script that orchestrates subagents at scale. Use this for work that fans out across many independent pieces — an audit over many files, a migration, multi-angle research, adversarial verification of findings — where you write the orchestration as a script instead of delegating turn by turn. The workflow's identity rides the `meta` parameter as JSON: required `name` (short kebab-case) and `description` strings, optional `whenToUse` string and `phases` array (`{title, detail?, provider?, model?}`). The `script` parameter is the plain JavaScript body ONLY (NOT TypeScript, and NO `export const meta` statement — meta is a parameter, not code), running with top-level await; end with `return ` — the value must be JSON-serializable and is this tool's result. Script-body hooks: - `agent(prompt, opts?): Promise` — run one subagent to completion. Without `opts.schema` it resolves to the child's final text; with `opts.schema` (an object-rooted JSON Schema using ONLY type/properties/required/additionalProperties/items/enum/const/oneOf — no pattern/format/numeric bounds) it resolves to the validated object. Resolves `null` when the child fails (filter with `.filter(Boolean)`). Other opts: `label` (display), `phase` (progress group), and independent `provider`/`model` LLM target overrides (either may be provided alone). Anything else (`effort`/`isolation`/`agentType`) is rejected loudly. - `pipeline(items, ...stages): Promise` — run each item through the stages independently with NO barrier between stages (prefer this for multi-stage work). Each stage receives `(prev, item, index)`. An ordinary stage throw drops that ITEM to `null` and skips its remaining stages. - `parallel(thunks): Promise` — run zero-argument functions concurrently and await ALL of them (a barrier; use only when a stage genuinely needs every prior result together). A throwing thunk resolves to `null`. - `phase(title)` — start a progress phase; `log(message)` — narrate progress; `args` — the tool call's `args` input, verbatim. Misused hooks (bad arguments, unknown options, unsupported schemas, tripped caps) throw errors that ALWAYS kill the script — they never dissolve into a per-item `null`. Constraints: concurrency and total-agent caps apply; no filesystem, network, timers, or Node.js APIs are provided — the agents do the work, the script only coordinates them. The run executes in the foreground: this call returns when the whole script finishes. */\n workflow: {\n /** The plain-JS workflow script body (top-level await allowed; NO `export const meta` statement; end with `return `). */\n script: string;\n /** The workflow identity block (plain JSON — never code). */\n meta: {\n /** Short kebab-case workflow name. */\n name: string;\n /** One-line description of what the workflow does. */\n description: string;\n /** Optional guidance on when this workflow applies. */\n whenToUse?: string;\n /** Optional phase declarations matched by phase() calls. */\n phases?: ({\n /** The phase title phase() calls match by exact string. */\n title: string;\n /** Optional one-line description of the phase. */\n detail?: string;\n /** Optional provider override this phase is expected to use. */\n provider?: string;\n /** Optional model override this phase is expected to use. */\n model?: string;\n } & Record)[];\n } & Record;\n /** Optional JSON input exposed to the script as the `args` global (wrap a bare list as a field, e.g. {\"files\": [...]}). */\n args?: Record;\n } & Record;\n /** Create or fully replace a UTF-8 text file. */\n write: {\n /** Path to write, resolved by the filesystem backend. */\n file_path: string;\n /** Full UTF-8 text content to write. */\n content: string;\n /** The wider sandbox mode this file operation needs. Only valid as a one-shot retry of an operation the sandbox just denied; requires justification and user approval. */\n sandbox_permissions?: \"workspace-write\" | \"danger-full-access\";\n /** Required with sandbox_permissions: one sentence for the user explaining why this exact file operation needs the wider access. */\n justification?: string;\n } & Record;\n}\n\ninterface ToolOutputMap {\n ask_user_question: {\n answers: {\n id: string;\n selected: string[];\n custom?: string;\n }[];\n };\n bash: {\n kind: \"background\";\n jobId: string;\n } | {\n kind: \"foreground\";\n exitCode: number | null;\n signal: string | null;\n timedOut: boolean;\n aborted: boolean;\n timeoutMs: number;\n stdout: {\n text: string;\n truncated: boolean;\n spillPath?: string;\n };\n stderr: {\n text: string;\n truncated: boolean;\n spillPath?: string;\n };\n sandbox?: {\n mode: string;\n denied: boolean;\n enforcement?: string;\n runnerFailed?: boolean;\n };\n };\n create_goal: {\n goal: null;\n } | {\n goal: {\n id: string;\n revision: number;\n objective: string;\n phase: \"active\" | \"paused\" | \"blocked\" | \"complete\";\n roundsStarted: number;\n maxGoalRounds: number;\n blockedReason?: {\n code: string;\n message: string;\n };\n };\n activation: \"armed\" | \"disarmed\";\n };\n edit: {\n path: string;\n before: string;\n after: string;\n };\n exit_plan_mode: {\n approved: true;\n };\n get_goal: {\n goal: null;\n } | {\n goal: {\n id: string;\n revision: number;\n objective: string;\n phase: \"active\" | \"paused\" | \"blocked\" | \"complete\";\n roundsStarted: number;\n maxGoalRounds: number;\n blockedReason?: {\n code: string;\n message: string;\n };\n };\n activation: \"armed\" | \"disarmed\";\n };\n glob: {\n root: string;\n paths: string[];\n };\n grep: {\n matches: {\n path: string;\n lineNumber: number;\n line: string;\n }[];\n };\n interrupt_agent: {\n accepted: boolean;\n };\n job_kill: {\n outcome: \"cancellation-requested\" | \"already-finished\";\n job: {\n id: string;\n kind: string;\n label: string;\n status: \"running\" | \"stopping\" | \"completed\" | \"killed\" | \"failed\";\n detail?: string;\n startedAt: number;\n finishedAt?: number;\n };\n };\n job_list: ({\n id: string;\n kind: string;\n label: string;\n status: \"running\" | \"stopping\" | \"completed\" | \"killed\" | \"failed\";\n detail?: string;\n startedAt: number;\n finishedAt?: number;\n })[];\n job_output: {\n text: string;\n job: {\n id: string;\n kind: string;\n label: string;\n status: \"running\" | \"stopping\" | \"completed\" | \"killed\" | \"failed\";\n detail?: string;\n startedAt: number;\n finishedAt?: number;\n };\n };\n list_agents: ({\n kind: \"child\";\n id: string;\n label: string;\n status: \"running\" | \"idle\" | \"ready\";\n parent?: string;\n depth?: number;\n } | {\n kind: \"diagnostic\";\n id: string;\n reason: \"corrupt\" | \"unsupported\" | \"unavailable\";\n parent?: string;\n depth?: number;\n })[];\n ralph: {\n runId: string;\n agentsStarted: number;\n result: JsonValue;\n };\n read: {\n path: string;\n offset: number;\n lines: {\n number: number;\n text: string;\n }[];\n totalLines: number;\n };\n read_image: {\n path: string;\n image: {\n attachmentId: string;\n mediaType: \"image/png\" | \"image/jpeg\" | \"image/webp\" | \"image/gif\";\n bytes: number;\n width: number;\n height: number;\n name?: string;\n };\n };\n send_message: {\n messageId: string;\n };\n skill: {\n name: string;\n provider: string;\n resourceBase?: {\n kind: \"directory\";\n path: string;\n } | {\n kind: \"url\";\n url: string;\n } | {\n kind: \"opaque\";\n description: string;\n };\n content: string;\n };\n subagent: {\n kind: \"background\";\n jobId: string;\n } | {\n kind: \"continuable\";\n subagentId: string;\n } | {\n kind: \"foreground\";\n runId: string;\n output: JsonValue[];\n };\n subagent_fork: {\n kind: \"background\";\n jobId: string;\n } | {\n kind: \"continuable\";\n subagentId: string;\n } | {\n kind: \"foreground\";\n runId: string;\n output: JsonValue[];\n };\n todo_write: {\n todos: ({\n content: string;\n status: \"pending\" | \"in_progress\" | \"completed\";\n })[];\n counts: {\n pending: number;\n inProgress: number;\n completed: number;\n };\n };\n update_goal: {\n goal: null;\n } | {\n goal: {\n id: string;\n revision: number;\n objective: string;\n phase: \"active\" | \"paused\" | \"blocked\" | \"complete\";\n roundsStarted: number;\n maxGoalRounds: number;\n blockedReason?: {\n code: string;\n message: string;\n };\n };\n activation: \"armed\" | \"disarmed\";\n };\n web_search: {\n content?: string;\n sources: {\n url: string;\n title?: string;\n snippet?: string;\n publishedAt?: string;\n }[];\n truncated: boolean;\n };\n workflow: {\n runId: string;\n agentsStarted: number;\n result: JsonValue;\n };\n write: {\n path: string;\n operation: \"create\" | \"update\";\n before: string | null;\n after: string;\n };\n}\n\ntype ToolName = keyof ToolOutputMap\n\ndeclare class ToolCallError extends Error {\n readonly name: \"ToolCallError\";\n readonly toolName: ToolName;\n}\n\ndeclare const tools: {\n [K in ToolName]: (args: ToolArgsMap[K]) => Promise;\n}\n```\n\nWhen you successfully create or modify files, mention the primary outputs in your final response. To make those and any other changed-file references clickable in Web, format them as Markdown inline code using the exact file-tool path, or a basename when unique among the files changed in that turn.","tools":[{"name":"run_code","description":"Execute a TypeScript program against the available tools. Takes two required arguments: `code`, the BODY of an async function (erasable syntax only; top-level `await` and `return` work), and `description`, a short summary of what the program does. Call tools as `await tools.name(args)` per the declarations in the system prompt. Only what you print or return comes back — curate it.","parameters":{"type":"object","properties":{"code":{"type":"string","description":"The program: the body of an async TypeScript function."},"description":{"type":"string","description":"Clear, concise description of what this program does in active voice, 5-10 words (shown in the UI). Examples: \"Count TODO markers across packages\"; \"Read failing test and its fixture\"; \"Rename config key in every cordis.yml\"."}},"required":["code","description"]}}]},"reason":"initial"}} +{"type":"request/context","seq":14,"time":1786844101048,"data":{"provider":"deepseek-official","model":"deepseek-v4-pro","contextWindow":1000000}} +{"type":"session/title-llm-request","seq":15,"time":1786844101048,"data":{"titleProvider":"session-title-first-prompt-llm","messageSeqs":[8],"route":{"provider":"deepseek-official","model":"deepseek-v4-pro"},"system":"Create a concise title for an AI coding-assistant session from the supplied human messages.\nReturn only the title on one line, **in plain text of natural language**, with no quotes, prefix, explanation, Markdown, XML, or terminal control codes. No code is allowed.\nUse the language of the messages.\nAim for about 5 words in non-CJK languages or 10 CJK characters.","messages":[{"content":[{"type":"text","text":"Generate the session title from this JSON array of human messages:\n[{\"seq\":8,\"text\":\"分析该模块如何加入角色卡设计，角色可以单独生成对话，上下文自主设计\"}]"}],"source":{"kind":"plugin","plugin":"dsh-session-title-llm"},"role":"user","id":"7f0471cf-cb59-4a7d-b59e-c4a5f27be461"}],"maxTokens":64}} +{"type":"session/title","seq":16,"time":1786844102711,"data":{"title":"角色卡对话模块设计分析","messageSeqs":[8],"source":{"kind":"provider","provider":"session-title-first-prompt-llm","model":{"provider":"deepseek-official","model":"deepseek-v4-pro"}}}} +{"type":"assistant/chunk","seq":17,"time":1786844103445,"data":{"turn":1,"step":1,"chunk":{"type":"block-start","index":0,"blockType":"reasoning"}}} +{"type":"reasoning-chunks","seq0":18,"time0":1786844103445,"data":{"turn":1,"step":1,"index":0,"dt":[1,4,0,0,0,0,1,0,0,0,1,0,2,0,0,0,33,1,0,33,0,0,0,0,31,0,0,38,1,0,0,0,0,27,0],"texts":["The"," user"," is"," asking"," me"," to"," analyze"," how"," this"," module"," can"," add"," character"," card"," design",","," where"," characters"," can"," generate"," conversations"," separately",","," and"," the"," context"," is"," autonom","ously"," designed","."," This"," is"," in"," Chinese","."]}} +{"type":"reasoning-chunks","seq0":54,"time0":1786844103662,"data":{"turn":1,"step":1,"index":0,"dt":[0,1,20,0,1,32,0,0,0,0,0,33,0,0,0,0,1,35,0,0,0,1,29,1,33,0,0,0,0,0],"texts":[" Let"," me"," translate",":\n\n","\"","分析","该","模块","如何","加入","角色","卡","设计","，","角色","可以","单独","生成","对话","，","上下文","自主","设计","\"\n\n","\"","Analy","ze"," how"," this"," module"," can"]}} +{"type":"reasoning-chunks","seq0":85,"time0":1786844103882,"data":{"turn":1,"step":1,"index":0,"dt":[38,1,0,0,0,27,0,0,0,0,1,33,1,0,0,35,0,0,0,1,0,27,1,0],"texts":[" incorporate"," character"," card"," design",","," where"," characters"," can"," independently"," generate"," conversations",","," and"," the"," context"," is"," autonom","ously"," designed",".\"\n\n","This"," is"," a"," task"," to"]}} +{"type":"reasoning-chunks","seq0":110,"time0":1786844104253,"data":{"turn":1,"step":1,"index":0,"dt":[0,0,0,0,0,12,0,0,2,0,0,3,0,2,0,0,0,0,1,1,35,0,0,0,1,33,0,0,34,30,0,0,32,1],"texts":[" analyze"," an"," existing"," module"," (","the"," agent"," chat"," module",","," presumably",")"," and"," figure"," out"," how"," to"," add"," character"," card"," (","角色","卡",")"," design","."," This"," is"," the"," classic"," \"","character"," card","\""," ("]}} 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files"},"isError":false,"content":[{"type":"text","text":"server/api/[...slug].ts\nserver/api/_error-report.post.ts\nserver/api/admin/agent-config/default-model.put.ts\nserver/api/admin/agent-config/index.get.ts\nserver/api/admin/agent-config/public-tools.put.ts\nserver/api/admin/agents/[agentSlug].get.ts\nserver/api/admin/agents/index.get.ts\nserver/api/admin/email/config.get.ts\nserver/api/admin/email/config.put.ts\nserver/api/admin/email/send.post.ts\nserver/api/admin/email/test.post.ts\nserver/api/admin/llm/models/index.get.ts\nserver/api/admin/llm/models/index.post.ts\nserver/api/admin/llm/providers/index.get.ts\nserver/api/admin/llm/providers/index.post.ts\nserver/api/agent-documents/[id].delete.ts\nserver/api/agent-documents/[id].get.ts\nserver/api/agent-documents/[id].patch.ts\nserver/api/agent-documents/index.get.ts\nserver/api/agent-documents/index.post.ts\nserver/api/agent-tools/[id].delete.ts\nserver/api/agent-tools/[id].get.ts\nserver/api/agent-tools/[id].put.ts\nserver/api/agent-tools/[id]/execute.post.ts\nserver/api/agent-tools/index.get.ts\nserver/api/agent-tools/index.post.ts\nserver/api/agent-tools/types.get.ts\nserver/api/agents/[agentSlug]/a2a.post.ts\nserver/api/agents/[agentSlug]/agent-card.get.ts\nserver/api/agents/[agentSlug]/chat/cleanup-approvals.post.ts\nserver/api/agents/[agentSlug]/chat/index.post.ts\nserver/api/agents/[agentSlug]/chat/stop.post.ts\nserver/api/agents/[agentSlug]/chat/stream.get.ts\nserver/api/agents/[agentSlug]/chat/tool-approve.post.ts\nserver/api/agents/[agentSlug]/feedback.post.ts\nserver/api/agents/[agentSlug]/index.delete.ts\nserver/api/agents/[agentSlug]/index.get.ts\nserver/api/agents/[agentSlug]/index.put.ts\nserver/api/agents/[agentSlug]/info.get.ts\nserver/api/agents/[agentSlug]/migrate.post.ts\nserver/api/agents/[agentSlug]/models/index.get.ts\nserver/api/agents/[agentSlug]/sessions/[id]/config.put.ts\nserver/api/agents/[agentSlug]/sessions/[id]/index.delete.ts\nserver/api/agents/[agentSlug]/sessions/[id]/index.get.ts\nserver/api/agents/[agentSlug]/sessions/[id]/index.put.ts\nserver/api/agents/[agentSlug]/sessions/[id]/messages.get.ts\nserver/api/agents/[agentSlug]/sessions/index.get.ts\nserver/api/agents/[agentSlug]/sessions/index.post.ts\nserver/api/agents/default-agent.get.ts\nserver/api/agents/index.get.ts\nserver/api/agents/index.post.ts\nserver/api/articles/[id].delete.ts\nserver/api/articles/[id].get.ts\nserver/api/articles/[id].put.ts\nserver/api/articles/index.get.ts\nserver/api/articles/index.post.ts\nserver/api/auth/captcha.get.ts\nserver/api/auth/login.post.ts\nserver/api/auth/logout.post.ts\nserver/api/auth/me.get.ts\nserver/api/auth/oauth/[provider]/authorize.get.ts\nserver/api/auth/oauth/[provider]/callback.get.ts\nserver/api/auth/oauth/[provider]/status.get.ts\nserver/api/auth/oauth/[provider]/unbind.delete.ts\nserver/api/auth/oauth/bind.post.ts\nserver/api/auth/oauth/bindings.get.ts\nserver/api/auth/profile.put.ts\nserver/api/auth/register.post.ts\nserver/api/auth/session.get.ts\nserver/api/captcha/challenge.ts\nserver/api/captcha/store.ts\nserver/api/captcha/validate-body.ts\nserver/api/cards/[id].delete.ts\nserver/api/cards/[id].get.ts\nserver/api/cards/[id].put.ts\nserver/api/cards/[id]/favorite.post.ts\nserver/api/cards/index.get.ts\nserver/api/cards/index.post.ts\nserver/api/categories/[id].delete.ts\nserver/api/categories/[id].get.ts\nserver/api/categories/[id].put.ts\nserver/api/categories/index.get.ts\nserver/api/categories/index.post.ts\nserver/api/chat/messages.get.ts\nserver/api/chat/send.post.ts\nserver/api/chat/sse.get.ts\nserver/api/chat/unread.get.ts\nserver/api/chat/unread/clear.post.ts\nserver/api/config/global.get.ts\nserver/api/config/global.put.ts\nserver/api/config/me.get.ts\nserver/api/config/me.put.ts\nserver/api/file/upload.post.ts\nserver/api/hello.get.ts\nserver/api/ideas/index.get.ts\nserver/api/ideas/index.post.ts\nserver/api/llm/chat/index.post.ts\nserver/api/llm/chat/models.get.ts\nserver/api/llm/chat/tools.get.ts\nserver/api/llm/models/[providerId].get.ts\nserver/api/llm/models/[providerId].post.ts\nserver/api/llm/models/detail/[id].delete.ts\nserver/api/llm/models/detail/[id].put.ts\nserver/api/llm/models/index.get.ts\nserver/api/llm/providers/[id].delete.ts\nserver/api/llm/providers/[id].get.ts\nserver/api/llm/providers/[id].models.get.ts\nserver/api/llm/providers/[id].put.ts\nserver/api/llm/providers/index.get.ts\nserver/api/llm/providers/index.post.ts\nserver/api/pic/random.get.ts\nserver/api/projects/[id].delete.ts\nserver/api/projects/[id].get.ts\nserver/api/projects/[id].put.ts\nserver/api/projects/index.get.ts\nserver/api/projects/index.post.ts\nserver/api/scheduler/executions.get.ts\nserver/api/scheduler/executions/[id].delete.ts\nserver/api/scheduler/executions/delete-all.post.ts\nserver/api/scheduler/stats.get.ts\nserver/api/scheduler/tasks/[id].delete.ts\nserver/api/scheduler/tasks/[id].get.ts\nserver/api/scheduler/tasks/[id].put.ts\nserver/api/scheduler/tasks/[id]/toggle.post.ts\nserver/api/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nse.ts\nserver/utils/simple-rate-limit.ts\nserver/utils/validation.ts\n"}]}} 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The key files for the analysis:\n- `packages/drizzle-pkg/lib/schema/agent.ts` — agent schema (this is the \"角色卡\" role/character card entity)\n- `server/service/agent/agent.ts` — agent service\n- `server/service/agent/identity.ts` — identity (persona?)\n- `server/service/agent/chat-engine.ts` — chat engine\n- `server/api/agents/[agentSlug]/agent-card.get.ts` — agent card API\n- `server/api/agents/[agentSlug]/index.get.ts`, `index.put.ts` — agent CRUD\n- `app/pages` — agent pages/components\n\nThere's already an `agent-card.get.ts` which suggests there's an \"agent card\" concept (角色卡 = agent/character card). Let me read the schema files and the agent service files.\n\nLet me read the schema first."}}}} +{"type":"assistant/chunk","seq":1431,"time":1786844123415,"data":{"turn":1,"step":4,"chunk":{"type":"block-end","index":1,"block":{"type":"text","text":"This is a well-structured codebase with an existing agent module. 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The key files for the analysis:\n- `packages/drizzle-pkg/lib/schema/agent.ts` — agent schema (this is the \"角色卡\" role/character card entity)\n- `server/service/agent/agent.ts` — agent service\n- `server/service/agent/identity.ts` — identity (persona?)\n- `server/service/agent/chat-engine.ts` — chat engine\n- `server/api/agents/[agentSlug]/agent-card.get.ts` — agent card API\n- `server/api/agents/[agentSlug]/index.get.ts`, `index.put.ts` — agent CRUD\n- `app/pages` — agent pages/components\n\nThere's already an `agent-card.get.ts` which suggests there's an \"agent card\" concept (角色卡 = agent/character card). Let me read the schema files and the agent service files.\n\nLet me read the schema first."},{"type":"text","text":"This is a well-structured codebase with an existing agent module. 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text(\"system_prompt\").notNull().default(\"\"),\n14: defaultModelId: integer(\"default_model_id\"),\n15: titleModelId: integer(\"title_model_id\"),\n16: titleStrategy: text(\"title_strategy\", { length: 20 }).notNull().default(\"llm\"),\n17: enableThinking: integer(\"enable_thinking\").notNull().default(0),\n18: enableTools: integer(\"enable_tools\").notNull().default(1),\n19: maxStepCount: integer(\"max_step_count\").notNull().default(6),\n20: isDefault: integer(\"is_default\").notNull().default(0),\n21: isCallable: integer(\"is_callable\").notNull().default(0),\n22: sortOrder: integer(\"sort_order\").notNull().default(0),\n23: enabled: integer(\"enabled\").notNull().default(1),\n24: createdAt: integer(\"created_at\", { mode: \"timestamp_ms\" }).defaultNow().notNull(),\n25: updatedAt: integer(\"updated_at\", { mode: \"timestamp_ms\" })\n26: .defaultNow()\n27: .$onUpdate(() => new Date())\n28: .notNull(),\n29: },\n30: (table) => [\n31: index(\"agents_enabled_idx\").on(table.enabled),\n32: index(\"agents_sort_order_idx\").on(table.sortOrder),\n33: ],\n34: );\n35: \n36: // ============ AgentToolAssociation（agent 与工具关联表）============\n37: export const agentToolAssociations = sqliteTable(\n38: \"agent_tool_associations\",\n39: {\n40: id: integer(\"id\").primaryKey({ autoIncrement: true }),\n41: agentId: integer(\"agent_id\")\n42: .notNull()\n43: .references(() => agents.id, { onDelete: \"cascade\" }),\n44: toolId: text(\"tool_id\")\n45: .notNull()\n46: .references(() => agentTools.id, { onDelete: \"cascade\" }),\n47: needsApproval: integer(\"needs_approval\"),\n48: sortOrder: integer(\"sort_order\").notNull().default(0),\n49: createdAt: integer(\"created_at\", { mode: \"timestamp_ms\" }).defaultNow().notNull(),\n50: },\n51: (table) => [\n52: uniqueIndex(\"agent_tool_assoc_uniq\").on(table.agentId, table.toolId),\n53: ],\n54: );\n55: \n56: // ============ AgentSession（agent 会话表）============\n57: export const agentSessions = sqliteTable(\n58: \"agent_sessions\",\n59: {\n60: id: text(\"id\").primaryKey(),\n61: agentId: integer(\"agent_id\").references(() => agents.id, { onDelete: \"set null\" }),\n62: userId: integer(\"user_id\").references(() => users.id, { onDelete: \"cascade\" }),\n63: tempToken: text(\"temp_token\", { length: 64 }),\n64: title: text(\"title\", { length: 100 }).notNull().default(\"新对话\"),\n65: modelId: integer(\"model_id\"),\n66: enableThinking: integer(\"enable_thinking\"),\n67: enableTools: integer(\"enable_tools\"),\n68: systemPrompt: text(\"system_prompt\"),\n69: lastActiveAt: integer(\"last_active_at\", { mode: \"timestamp_ms\" }).defaultNow().notNull(),\n70: expiresAt: integer(\"expires_at\", { mode: \"timestamp_ms\" }),\n71: deletedAt: integer(\"deleted_at\", { mode: \"timestamp_ms\" }),\n72: createdAt: integer(\"created_at\", { mode: \"timestamp_ms\" }).defaultNow().notNull(),\n73: updatedAt: integer(\"updated_at\", { mode: \"timestamp_ms\" })\n74: .defaultNow()\n75: .$onUpdate(() => new Date())\n76: .notNull(),\n77: },\n78: (table) => [\n79: index(\"idx_agent_sessions_user_deleted\").on(table.userId, table.deletedAt),\n80: index(\"idx_agent_sessions_temp_token\").on(table.tempToken),\n81: index(\"idx_agent_sessions_agent\").on(table.agentId),\n82: ],\n83: );\n84: \n85: // ============ AgentMessage（agent 消息表）============\n86: export const agentMessages = sqliteTable(\n87: \"agent_messages\",\n88: {\n89: id: text(\"id\").primaryKey(),\n90: sessionId: text(\"session_id\")\n91: .notNull()\n92: .references(() => agentSessions.id, { onDelete: \"cascade\" }),\n93: role: text(\"role\", { length: 20 }).notNull(),\n94: content: text(\"content\").notNull().default(\"\"),\n95: parts: text(\"parts\"),\n96: modelId: integer(\"model_id\"),\n97: inputTokens: integer(\"input_tokens\"),\n98: outputTokens: integer(\"output_tokens\"),\n99: sortOrder: integer(\"sort_order\").notNull(),\n100: createdAt: integer(\"created_at\", { mode: \"timestamp_ms\" }).defaultNow().notNull(),\n101: },\n102: (table) => [\n103: index(\"idx_agent_messages_session_sort\").on(table.sessionId, table.sortOrder),\n104: ],\n105: );\n106: \n107: // ============ AgentMessageFeedback（agent 消息反馈表）============\n108: export const agentMessageFeedback = sqliteTable(\n109: \"agent_message_feedback\",\n110: {\n111: id: integer(\"id\").primaryKey({ autoIncrement: true }),\n112: messageId: text(\"message_id\")\n113: .notNull()\n114: .references(() => agentMessages.id, { onDelete: \"cascade\" }),\n115: userId: integer(\"user_id\")\n116: .notNull()\n117: .references(() => users.id, { onDelete: \"cascade\" }),\n118: feedback: text(\"feedback\", { length: 10 }).notNull(),\n119: comment: text(\"comment\"),\n120: createdAt: integer(\"created_at\", { mode: \"timestamp_ms\" }).defaultNow().notNull(),\n121: updatedAt: integer(\"updated_at\", { mode: \"timestamp_ms\" })\n122: .defaultNow()\n123: .$onUpdate(() => new Date())\n124: .notNull(),\n125: },\n126: (table) => [\n127: uniqueIndex(\"idx_agent_feedback_message_user\").on(table.messageId, table.userId),\n128: ],\n129: );\n\n(End of file - total 129 lines)\n"}]}} +{"type":"tool/result","seq":1439,"time":1786844123464,"data":{"turn":1,"step":4,"message":{"source":{"kind":"tool","callId":"call_00_FQcF46eGKrmr261x0asa8252"},"content":[{"type":"tool-result","toolCallId":"call_00_FQcF46eGKrmr261x0asa8252","content":[{"type":"text","text":"=== schema/agent.ts ===\nimport { sqliteTable, text, integer, index, uniqueIndex } from \"drizzle-orm/sqlite-core\";\nimport { users } from \"./auth\";\nimport { agentTools } from \"./agent-tool\";\n\n// ============ Agent（agent 定义表）============\nexport const agents = sqliteTable(\n \"agents\",\n {\n id: integer(\"id\").primaryKey({ autoIncrement: true }),\n slug: text(\"slug\", { length: 50 }).notNull().unique(),\n name: text(\"name\", { length: 100 }).notNull(),\n description: text(\"description\"),\n systemPrompt: text(\"system_prompt\").notNull().default(\"\"),\n 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AgentToolAssociation（agent 与工具关联表）============\nexport const agentToolAssociations = sqliteTable(\n \"agent_tool_associations\",\n {\n id: integer(\"id\").primaryKey({ autoIncrement: true }),\n agentId: integer(\"agent_id\")\n .notNull()\n .references(() => agents.id, { onDelete: \"cascade\" }),\n toolId: text(\"tool_id\")\n .notNull()\n .references(() => agentTools.id, { onDelete: \"cascade\" }),\n needsApproval: integer(\"needs_approval\"),\n sortOrder: integer(\"sort_order\").notNull().default(0),\n createdAt: integer(\"created_at\", { mode: \"timestamp_ms\" }).defaultNow().notNull(),\n },\n (table) => [\n uniqueIndex(\"agent_tool_assoc_uniq\").on(table.agentId, table.toolId),\n ],\n);\n\n// ============ AgentSession（agent 会话表）============\nexport const agentSessions = sqliteTable(\n \"agent_sessions\",\n {\n id: text(\"id\").primaryKey(),\n agentId: integer(\"agent_id\").references(() => agents.id, { onDelete: \"set null\" }),\n userId: integer(\"user_id\").references(() => users.id, { onDelete: \"cascade\" }),\n tempToken: text(\"temp_token\", { length: 64 }),\n title: text(\"title\", { length: 100 }).notNull().default(\"新对话\"),\n modelId: integer(\"model_id\"),\n enableThinking: integer(\"enable_thinking\"),\n enableTools: integer(\"enable_tools\"),\n systemPrompt: text(\"system_prompt\"),\n lastActiveAt: integer(\"last_active_at\", { mode: \"timestamp_ms\" }).defaultNow().notNull(),\n expiresAt: integer(\"expires_at\", { mode: \"timestamp_ms\" }),\n deletedAt: integer(\"deleted_at\", { mode: \"timestamp_ms\" }),\n createdAt: integer(\"created_at\", { mode: \"timestamp_ms\" }).defaultNow().notNull(),\n updatedAt: integer(\"updated_at\", { mode: \"timestamp_ms\" })\n .defaultNow()\n .$onUpdate(() => new Date())\n .notNull(),\n },\n (table) => [\n index(\"idx_agent_sessions_user_deleted\").on(table.userId, table.deletedAt),\n index(\"idx_agent_sessions_temp_token\").on(table.tempToken),\n index(\"idx_agent_sessions_agent\").on(table.agentId),\n 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\"#server/service/a2a/converter\";\n5: \n6: export default defineWrappedResponseHandler(async (event) => {\n7: const agentSlug = getRouterParam(event, \"agentSlug\");\n8: if (!agentSlug) {\n9: return R.error(\"参数无效\", null);\n10: }\n11: \n12: const agent = await getAgentBySlug(agentSlug);\n13: if (!agent) {\n14: return R.error(\"agent 不存在\", null);\n15: }\n16: \n17: const protocol = event.node.req.headers[\"x-forwarded-proto\"] ?? \"http\";\n18: const host = event.node.req.headers.host ?? \"localhost\";\n19: const baseUrl = `${protocol}://${host}`;\n20: \n21: const card = agentRowToCard(agent, baseUrl);\n22: return card;\n23: });\n\n(End of file - total 23 lines)\n"}]}} +{"type":"tool/code-dispatch-start","seq":1775,"time":1786844127137,"data":{"rootCallId":"call_00_CD9dppail77wkjr055oZ3860","parentCallId":"call_00_CD9dppail77wkjr055oZ3860","subCallId":"call_00_CD9dppail77wkjr055oZ3860:code:2","name":"read","arguments":{"file_path":"server/api/agents/[agentSlug]/index.get.ts"}}} 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});\n\n(End of file - total 17 lines)\n"}]}} +{"type":"tool/code-dispatch-start","seq":1777,"time":1786844127140,"data":{"rootCallId":"call_00_CD9dppail77wkjr055oZ3860","parentCallId":"call_00_CD9dppail77wkjr055oZ3860","subCallId":"call_00_CD9dppail77wkjr055oZ3860:code:3","name":"read","arguments":{"file_path":"server/api/agents/[agentSlug]/info.get.ts"}}} +{"type":"tool/code-dispatch","seq":1778,"time":1786844127144,"data":{"rootCallId":"call_00_CD9dppail77wkjr055oZ3860","parentCallId":"call_00_CD9dppail77wkjr055oZ3860","subCallId":"call_00_CD9dppail77wkjr055oZ3860:code:3","name":"read","arguments":{"file_path":"server/api/agents/[agentSlug]/info.get.ts"},"isError":false,"content":[{"type":"text","text":"/home/dash/code/nuxt-app/server/api/agents/[agentSlug]/info.get.ts\nfile\n\n1: import { defineWrappedResponseHandler } from \"#server/utils/handler\";\n2: import { R } from \"#server/utils/response\";\n3: import { getCurrentUser, getConfigGlobal } from \"#server/utils/context\";\n4: import { getAgentBySlug, getAgentTools } from \"#server/service/agent/agent\";\n5: \n6: export default defineWrappedResponseHandler(async (event) => {\n7: const agentSlug = getRouterParam(event, \"agentSlug\");\n8: if (!agentSlug) {\n9: return R.error(\"参数无效\", null);\n10: }\n11: \n12: const agent = await getAgentBySlug(agentSlug);\n13: if (!agent) {\n14: return R.error(\"agent 不存在\", null);\n15: }\n16: \n17: const user = await getCurrentUser(event);\n18: const isGuest = !user;\n19: \n20: let tools = await getAgentTools(agent.id);\n21: \n22: if (isGuest) {\n23: const publicToolSlugs: string[] = await getConfigGlobal(\"agentPublicToolSlugs\");\n24: tools = tools.filter((t) => publicToolSlugs.includes(t.slug));\n25: }\n26: \n27: return R.success({\n28: id: agent.id,\n29: slug: agent.slug,\n30: name: agent.name,\n31: description: agent.description,\n32: systemPrompt: agent.systemPrompt,\n33: defaultModelId: agent.defaultModelId,\n34: titleModelId: agent.titleModelId,\n35: titleStrategy: agent.titleStrategy,\n36: enableThinking: agent.enableThinking,\n37: enableTools: agent.enableTools,\n38: maxStepCount: agent.maxStepCount,\n39: isDefault: agent.isDefault,\n40: isCallable: agent.isCallable,\n41: tools: tools.map((t) => ({\n42: id: t.id,\n43: name: t.name,\n44: slug: t.slug,\n45: type: t.type,\n46: needsApproval: t.needsApproval,\n47: })),\n48: });\n49: });\n\n(End of file - total 49 lines)\n"}]}} +{"type":"tool/result","seq":1779,"time":1786844127149,"data":{"turn":1,"step":5,"message":{"source":{"kind":"tool","callId":"call_00_CD9dppail77wkjr055oZ3860"},"content":[{"type":"tool-result","toolCallId":"call_00_CD9dppail77wkjr055oZ3860","content":[{"type":"text","text":"\n========== server/api/agents/[agentSlug]/agent-card.get.ts ==========\nimport { defineWrappedResponseHandler } from \"#server/utils/handler\";\nimport { R } from \"#server/utils/response\";\nimport { getAgentBySlug } from \"#server/service/agent/agent\";\nimport { agentRowToCard } from \"#server/service/a2a/converter\";\n\nexport default defineWrappedResponseHandler(async (event) => {\n const agentSlug = getRouterParam(event, \"agentSlug\");\n if (!agentSlug) {\n return R.error(\"参数无效\", null);\n }\n\n const agent = await getAgentBySlug(agentSlug);\n if (!agent) {\n return R.error(\"agent 不存在\", null);\n }\n\n const protocol = event.node.req.headers[\"x-forwarded-proto\"] ?? \"http\";\n const host = event.node.req.headers.host ?? \"localhost\";\n const baseUrl = `${protocol}://${host}`;\n\n const card = agentRowToCard(agent, baseUrl);\n return card;\n});\n\n========== server/api/agents/[agentSlug]/index.get.ts ==========\nimport { defineWrappedResponseHandler } from \"#server/utils/handler\";\nimport { R } from \"#server/utils/response\";\nimport { getAgentWithTools } from \"#server/service/agent/agent\";\n\nexport default defineWrappedResponseHandler(async (event) => {\n const agentSlug = getRouterParam(event, \"agentSlug\");\n if (!agentSlug) {\n return R.error(\"参数无效\", null);\n }\n\n const agent = await getAgentWithTools(agentSlug);\n if (!agent) {\n return R.error(\"agent 不存在\", null);\n }\n\n return R.success(agent);\n});\n\n========== server/api/agents/[agentSlug]/info.get.ts ==========\nimport { defineWrappedResponseHandler } from \"#server/utils/handler\";\nimport { R } from \"#server/utils/response\";\nimport { getCurrentUser, getConfigGlobal } from \"#server/utils/context\";\nimport { getAgentBySlug, getAgentTools } from \"#server/service/agent/agent\";\n\nexport default defineWrappedResponseHandler(async (event) => {\n const agentSlug = getRouterParam(event, \"agentSlug\");\n if (!agentSlug) {\n return R.error(\"参数无效\", null);\n }\n\n const agent = await getAgentBySlug(agentSlug);\n if (!agent) {\n return R.error(\"agent 不存在\", null);\n }\n\n const user = await getCurrentUser(event);\n const isGuest = !user;\n\n let tools = await getAgentTools(agent.id);\n\n if (isGuest) {\n const publicToolSlugs: string[] = await getConfigGlobal(\"agentPublicToolSlugs\");\n tools = tools.filter((t) => publicToolSlugs.includes(t.slug));\n }\n\n return R.success({\n id: agent.id,\n slug: agent.slug,\n name: agent.name,\n description: agent.description,\n systemPrompt: agent.systemPrompt,\n defaultModelId: agent.defaultModelId,\n titleModelId: agent.titleModelId,\n titleStrategy: agent.titleStrategy,\n enableThinking: agent.enableThinking,\n enableTools: agent.enableTools,\n maxStepCount: agent.maxStepCount,\n isDefault: agent.isDefault,\n isCallable: agent.isCallable,\n tools: tools.map((t) => ({\n id: t.id,\n name: t.name,\n slug: t.slug,\n type: t.type,\n needsApproval: t.needsApproval,\n })),\n });\n});"}],"isError":false}],"role":"user","id":"530c2363-6a3e-4537-ba4a-eac7048e0ebf"}},"sourceEventSeqs":[1772],"surfaceOp":"append"} +{"type":"step/end","seq":1780,"time":1786844127150,"data":{"turn":1,"step":5}} +{"type":"step/start","seq":1781,"time":1786844127188,"data":{"turn":1,"step":6}} 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The `agentRowToCard` converts an agent to a card. Let me read:\n1. `server/service/agent/agent.ts` — the agent service\n2. `server/service/a2a/converter.ts` — the card converter\n3. `server/service/agent/types.ts` — types\n4. `server/service/agent/identity.ts` — identity\n\nLet me read these."}}}} +{"type":"assistant/chunk","seq":1999,"time":1786844129672,"data":{"turn":1,"step":6,"chunk":{"type":"block-end","index":1,"block":{"type":"tool-call","id":"call_00_Yp7jBmtbpkCPMU57To0l7974","name":"run_code","arguments":"{\"code\": \"\\nasync function readFull(path) {\\n const r = await tools.read({ file_path: path });\\n return r.lines.map(l => l.text).join(\\\"\\\\n\\\");\\n}\\n\\nfor (const p of [\\n \\\"server/service/agent/agent.ts\\\",\\n \\\"server/service/agent/types.ts\\\",\\n]) {\\n console.log(`\\\\n========== ${p} ==========`);\\n console.log(await readFull(p));\\n}\\n\", \"description\": \"Read agent service and types\"}"}}}} +{"type":"assistant/chunk","seq":2000,"time":1786844129673,"data":{"turn":1,"step":6,"chunk":{"type":"usage","usage":{"inputTokens":898,"outputTokens":255,"cacheReadTokens":34944,"reasoningTokens":104}}}} +{"type":"assistant/chunk","seq":2001,"time":1786844129673,"data":{"turn":1,"step":6,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}} +{"type":"assistant/message","seq":2002,"time":1786844129674,"data":{"turn":1,"step":6,"message":{"role":"assistant","content":[{"type":"reasoning","text":"There's already an `agent-card` concept tied to A2A (agent-to-agent) protocol. The `agentRowToCard` converts an agent to a card. Let me read:\n1. `server/service/agent/agent.ts` — the agent service\n2. `server/service/a2a/converter.ts` — the card converter\n3. `server/service/agent/types.ts` — types\n4. `server/service/agent/identity.ts` — identity\n\nLet me read these."},{"type":"tool-call","id":"call_00_Yp7jBmtbpkCPMU57To0l7974","name":"run_code","arguments":"{\"code\": \"\\nasync function readFull(path) {\\n const r = await tools.read({ file_path: path });\\n return r.lines.map(l => l.text).join(\\\"\\\\n\\\");\\n}\\n\\nfor (const p of [\\n \\\"server/service/agent/agent.ts\\\",\\n \\\"server/service/agent/types.ts\\\",\\n]) {\\n console.log(`\\\\n========== ${p} ==========`);\\n console.log(await readFull(p));\\n}\\n\", \"description\": \"Read agent service and 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+{"type":"tool/code-dispatch","seq":2005,"time":1786844129709,"data":{"rootCallId":"call_00_Yp7jBmtbpkCPMU57To0l7974","parentCallId":"call_00_Yp7jBmtbpkCPMU57To0l7974","subCallId":"call_00_Yp7jBmtbpkCPMU57To0l7974:code:1","name":"read","arguments":{"file_path":"server/service/agent/agent.ts"},"isError":false,"content":[{"type":"text","text":"/home/dash/code/nuxt-app/server/service/agent/agent.ts\nfile\n\n1: import { dbGlobal } from \"drizzle-pkg/lib/db\";\n2: import { agents, agentToolAssociations } from \"drizzle-pkg/lib/schema/agent\";\n3: import { agentTools } from \"drizzle-pkg/lib/schema/agent-tool\";\n4: import { eq, and, asc, sql } from \"drizzle-orm\";\n5: import type { AgentToolRow } from \"#server/service/agent-tool\";\n6: \n7: export type AgentRow = typeof agents.$inferSelect;\n8: \n9: export type AgentTitleStrategy = \"llm\" | \"first-line\" | \"none\";\n10: \n11: export interface AgentWithTools extends AgentRow {\n12: tools: AgentToolRow[];\n13: }\n14: \n15: export interface CreateAgentInput {\n16: slug: string;\n17: name: string;\n18: description?: string;\n19: systemPrompt: string;\n20: defaultModelId?: number | null;\n21: titleModelId?: number | null;\n22: titleStrategy?: AgentTitleStrategy;\n23: enableThinking?: number;\n24: enableTools?: number;\n25: maxStepCount?: number;\n26: isDefault?: number;\n27: isCallable?: number;\n28: sortOrder?: number;\n29: enabled?: number;\n30: toolIds?: string[];\n31: }\n32: \n33: export interface UpdateAgentInput {\n34: slug?: string;\n35: name?: string;\n36: description?: string;\n37: systemPrompt?: string;\n38: defaultModelId?: number | null;\n39: titleModelId?: number | null;\n40: titleStrategy?: AgentTitleStrategy;\n41: enableThinking?: number;\n42: enableTools?: number;\n43: maxStepCount?: number;\n44: isDefault?: number;\n45: isCallable?: number;\n46: sortOrder?: number;\n47: enabled?: number;\n48: toolIds?: string[];\n49: }\n50: \n51: export async function getAgentBySlug(slug: string): Promise {\n52: const [row] = await dbGlobal\n53: .select()\n54: .from(agents)\n55: .where(and(eq(agents.slug, slug), eq(agents.enabled, 1)))\n56: .limit(1);\n57: return row ?? null;\n58: }\n59: \n60: export async function getAgentBySlugAny(slug: string): Promise {\n61: const [row] = await dbGlobal\n62: .select()\n63: .from(agents)\n64: .where(eq(agents.slug, slug))\n65: .limit(1);\n66: return row ?? null;\n67: }\n68: \n69: export async function getAgentById(id: number): Promise {\n70: const [row] = await dbGlobal.select().from(agents).where(eq(agents.id, id)).limit(1);\n71: return row ?? null;\n72: }\n73: \n74: export async function getDefaultAgent(): Promise {\n75: const [row] = await dbGlobal\n76: .select()\n77: .from(agents)\n78: .where(and(eq(agents.isDefault, 1), eq(agents.enabled, 1)))\n79: .limit(1);\n80: if (row) return row;\n81: const [fallback] = await dbGlobal\n82: .select()\n83: .from(agents)\n84: .where(eq(agents.enabled, 1))\n85: .orderBy(asc(agents.sortOrder))\n86: .limit(1);\n87: return fallback ?? null;\n88: }\n89: \n90: export async function listAgents(onlyEnabled = true): Promise {\n91: const where = onlyEnabled ? eq(agents.enabled, 1) : sql`1=1`;\n92: return dbGlobal.select().from(agents).where(where).orderBy(asc(agents.sortOrder), asc(agents.id));\n93: }\n94: \n95: export async function getAgentWithTools(slug: string): Promise {\n96: const agent = await getAgentBySlug(slug);\n97: if (!agent) return null;\n98: const tools = await getAgentTools(agent.id);\n99: return { ...agent, tools };\n100: }\n101: \n102: export async function getAgentTools(agentId: number): Promise {\n103: const rows = await dbGlobal\n104: .select({\n105: tool: agentTools,\n106: sortOrder: agentToolAssociations.sortOrder,\n107: })\n108: .from(agentToolAssociations)\n109: .innerJoin(agentTools, eq(agentToolAssociations.toolId, agentTools.id))\n110: .where(and(eq(agentToolAssociations.agentId, agentId), eq(agentTools.enabled, 1)))\n111: .orderBy(asc(agentToolAssociations.sortOrder), asc(agentTools.sortOrder));\n112: return rows.map((r) => r.tool);\n113: }\n114: \n115: export async function getAgentToolIds(agentId: number): Promise {\n116: const tools = await getAgentTools(agentId);\n117: return tools.map((t) => t.id);\n118: }\n119: \n120: export async function createAgent(input: CreateAgentInput): Promise {\n121: const existing = await getAgentBySlugAny(input.slug);\n122: if (existing) {\n123: throw new Error(`slug 已存在: ${input.slug}`);\n124: }\n125: const [row] = await dbGlobal\n126: .insert(agents)\n127: .values({\n128: slug: input.slug,\n129: name: input.name,\n130: description: input.description ?? null,\n131: systemPrompt: input.systemPrompt,\n132: defaultModelId: input.defaultModelId ?? null,\n133: titleModelId: input.titleModelId ?? null,\n134: titleStrategy: input.titleStrategy ?? \"llm\",\n135: enableThinking: input.enableThinking ?? 0,\n136: enableTools: input.enableTools ?? 1,\n137: maxStepCount: input.maxStepCount ?? 6,\n138: isDefault: input.isDefault ?? 0,\n139: isCallable: input.isCallable ?? 0,\n140: sortOrder: input.sortOrder ?? 0,\n141: enabled: input.enabled ?? 1,\n142: })\n143: .returning();\n144: if (!row) throw new Error(\"创建 agent 失败\");\n145: \n146: if (input.isDefault === 1) {\n147: await dbGlobal\n148: .update(agents)\n149: .set({ isDefault: 0 })\n150: .where(and(sql`${agents.id} != ${row.id}`));\n151: }\n152: \n153: if (input.toolIds && input.toolIds.length > 0) {\n154: for (let i = 0; i < input.toolIds.length; i++) {\n155: const toolId = input.toolIds[i]!;\n156: await dbGlobal.insert(agentToolAssociations).values({\n157: agentId: row.id,\n158: toolId,\n159: sortOrder: i,\n160: });\n161: }\n162: }\n163: return row;\n164: }\n165: \n166: export async function updateAgent(id: number, input: UpdateAgentInput): Promise {\n167: const existing = await getAgentById(id);\n168: if (!existing) return null;\n169: \n170: if (input.slug && input.slug !== existing.slug) {\n171: const slugConflict = await getAgentBySlugAny(input.slug);\n172: if (slugConflict) {\n173: throw new Error(`slug 已存在: ${input.slug}`);\n174: }\n175: }\n176: \n177: const updates: Partial = {};\n178: if (input.slug !== undefined) updates.slug = input.slug;\n179: if (input.name !== undefined) updates.name = input.name;\n180: if (input.description !== undefined) updates.description = input.description;\n181: if (input.systemPrompt !== undefined) updates.systemPrompt = input.systemPrompt;\n182: if (input.defaultModelId !== undefined) updates.defaultModelId = input.defaultModelId;\n183: if (input.titleModelId !== undefined) updates.titleModelId = input.titleModelId;\n184: if (input.titleStrategy !== undefined) updates.titleStrategy = input.titleStrategy;\n185: if (input.enableThinking !== undefined) updates.enableThinking = input.enableThinking;\n186: if (input.enableTools !== undefined) updates.enableTools = input.enableTools;\n187: if (input.maxStepCount !== undefined) updates.maxStepCount = input.maxStepCount;\n188: if (input.isCallable !== undefined) updates.isCallable = input.isCallable;\n189: if (input.sortOrder !== undefined) updates.sortOrder = input.sortOrder;\n190: if (input.enabled !== undefined) updates.enabled = input.enabled;\n191: \n192: if (input.isDefault !== undefined) {\n193: updates.isDefault = input.isDefault;\n194: if (input.isDefault === 1) {\n195: await dbGlobal\n196: .update(agents)\n197: .set({ isDefault: 0 })\n198: .where(and(sql`${agents.id} != ${id}`));\n199: }\n200: }\n201: \n202: if (Object.keys(updates).length > 0) {\n203: await dbGlobal.update(agents).set(updates).where(eq(agents.id, id));\n204: }\n205: \n206: if (input.toolIds !== undefined) {\n207: await dbGlobal.delete(agentToolAssociations).where(eq(agentToolAssociations.agentId, id));\n208: for (let i = 0; i < input.toolIds.length; i++) {\n209: const toolId = input.toolIds[i]!;\n210: await dbGlobal.insert(agentToolAssociations).values({\n211: agentId: id,\n212: toolId,\n213: sortOrder: i,\n214: });\n215: }\n216: }\n217: \n218: return getAgentById(id);\n219: }\n220: \n221: export async function deleteAgent(id: number): Promise {\n222: await dbGlobal.delete(agentToolAssociations).where(eq(agentToolAssociations.agentId, id));\n223: await dbGlobal.delete(agents).where(eq(agents.id, id));\n224: }\n\n(End of file - total 224 lines)\n"}]}} +{"type":"tool/code-dispatch-start","seq":2006,"time":1786844129716,"data":{"rootCallId":"call_00_Yp7jBmtbpkCPMU57To0l7974","parentCallId":"call_00_Yp7jBmtbpkCPMU57To0l7974","subCallId":"call_00_Yp7jBmtbpkCPMU57To0l7974:code:2","name":"read","arguments":{"file_path":"server/service/agent/types.ts"}}} 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feedback: \"like\" | \"dislike\" | null;\n11: }\n12: \n13: export interface AgentIdentity {\n14: userId: number | null;\n15: tempToken: string | null;\n16: }\n17: \n18: export type AgentTitleStrategy = \"llm\" | \"first-line\" | \"none\";\n19: \n20: export interface AgentInvocation {\n21: agentSlug: string;\n22: input: string;\n23: context?: {\n24: sessionId?: string;\n25: userId?: number | null;\n26: callerAgentId?: number | null;\n27: recursionDepth?: number;\n28: };\n29: }\n30: \n31: export interface AgentInvocationResult {\n32: agentSlug: string;\n33: output: string;\n34: ok: boolean;\n35: error?: string;\n36: }\n37: \n38: export interface ContentTextPart {\n39: type: \"text\";\n40: text: string;\n41: }\n42: \n43: export interface ContentImagePart {\n44: type: \"image\";\n45: image: string;\n46: mimeType: string;\n47: name?: string;\n48: }\n49: \n50: export type ContentPart = ContentTextPart | ContentImagePart;\n51: \n52: export function extractTextFromParts(parts: ContentPart[]): string {\n53: return parts\n54: .filter((p): p is ContentTextPart => p.type === \"text\")\n55: .map((p) => p.text)\n56: .join(\"\");\n57: }\n58: \n59: export function normalizeToParts(content: string | ContentPart[] | undefined): ContentPart[] {\n60: if (!content) return [];\n61: if (typeof content === \"string\") {\n62: return content.trim() ? [{ type: \"text\", text: content }] : [];\n63: }\n64: return content;\n65: }\n\n(End of file - total 65 lines)\n"}]}} +{"type":"tool/result","seq":2008,"time":1786844129723,"data":{"turn":1,"step":6,"message":{"source":{"kind":"tool","callId":"call_00_Yp7jBmtbpkCPMU57To0l7974"},"content":[{"type":"tool-result","toolCallId":"call_00_Yp7jBmtbpkCPMU57To0l7974","content":[{"type":"text","text":"\n========== server/service/agent/agent.ts ==========\nimport { dbGlobal } from \"drizzle-pkg/lib/db\";\nimport { agents, agentToolAssociations } from \"drizzle-pkg/lib/schema/agent\";\nimport { agentTools } from \"drizzle-pkg/lib/schema/agent-tool\";\nimport { eq, and, asc, sql } from \"drizzle-orm\";\nimport type { AgentToolRow } from \"#server/service/agent-tool\";\n\nexport type AgentRow = typeof agents.$inferSelect;\n\nexport type AgentTitleStrategy = \"llm\" | \"first-line\" | \"none\";\n\nexport interface AgentWithTools extends AgentRow {\n tools: AgentToolRow[];\n}\n\nexport interface CreateAgentInput {\n slug: string;\n name: string;\n description?: string;\n systemPrompt: string;\n defaultModelId?: number | null;\n titleModelId?: number | null;\n titleStrategy?: AgentTitleStrategy;\n enableThinking?: number;\n enableTools?: number;\n maxStepCount?: number;\n isDefault?: number;\n isCallable?: number;\n sortOrder?: number;\n enabled?: number;\n toolIds?: string[];\n}\n\nexport interface UpdateAgentInput {\n slug?: string;\n name?: string;\n description?: string;\n systemPrompt?: string;\n defaultModelId?: number | null;\n titleModelId?: number | null;\n titleStrategy?: AgentTitleStrategy;\n enableThinking?: number;\n enableTools?: number;\n maxStepCount?: number;\n isDefault?: number;\n isCallable?: number;\n sortOrder?: number;\n enabled?: number;\n toolIds?: string[];\n}\n\nexport async function getAgentBySlug(slug: string): Promise {\n const [row] = await dbGlobal\n .select()\n .from(agents)\n .where(and(eq(agents.slug, slug), eq(agents.enabled, 1)))\n .limit(1);\n return row ?? null;\n}\n\nexport async function getAgentBySlugAny(slug: string): Promise {\n const [row] = await dbGlobal\n .select()\n .from(agents)\n .where(eq(agents.slug, slug))\n .limit(1);\n return row ?? null;\n}\n\nexport async function getAgentById(id: number): Promise {\n const [row] = await dbGlobal.select().from(agents).where(eq(agents.id, id)).limit(1);\n return row ?? null;\n}\n\nexport async function getDefaultAgent(): Promise {\n const [row] = await dbGlobal\n .select()\n .from(agents)\n .where(and(eq(agents.isDefault, 1), eq(agents.enabled, 1)))\n .limit(1);\n if (row) return row;\n const [fallback] = await dbGlobal\n .select()\n .from(agents)\n .where(eq(agents.enabled, 1))\n .orderBy(asc(agents.sortOrder))\n .limit(1);\n return fallback ?? null;\n}\n\nexport async function listAgents(onlyEnabled = true): Promise {\n const where = onlyEnabled ? eq(agents.enabled, 1) : sql`1=1`;\n return dbGlobal.select().from(agents).where(where).orderBy(asc(agents.sortOrder), asc(agents.id));\n}\n\nexport async function getAgentWithTools(slug: string): Promise {\n const agent = await getAgentBySlug(slug);\n if (!agent) return null;\n const tools = await getAgentTools(agent.id);\n return { ...agent, tools };\n}\n\nexport async function getAgentTools(agentId: number): Promise {\n const rows = await dbGlobal\n .select({\n tool: agentTools,\n sortOrder: agentToolAssociations.sortOrder,\n })\n .from(agentToolAssociations)\n .innerJoin(agentTools, eq(agentToolAssociations.toolId, agentTools.id))\n .where(and(eq(agentToolAssociations.agentId, agentId), eq(agentTools.enabled, 1)))\n .orderBy(asc(agentToolAssociations.sortOrder), asc(agentTools.sortOrder));\n return rows.map((r) => r.tool);\n}\n\nexport async function getAgentToolIds(agentId: number): Promise {\n const tools = await getAgentTools(agentId);\n return tools.map((t) => t.id);\n}\n\nexport async function createAgent(input: CreateAgentInput): Promise {\n const existing = await getAgentBySlugAny(input.slug);\n if (existing) {\n throw new Error(`slug 已存在: ${input.slug}`);\n }\n const [row] = await dbGlobal\n .insert(agents)\n .values({\n slug: input.slug,\n name: input.name,\n description: input.description ?? null,\n systemPrompt: input.systemPrompt,\n defaultModelId: input.defaultModelId ?? null,\n titleModelId: input.titleModelId ?? null,\n titleStrategy: input.titleStrategy ?? \"llm\",\n enableThinking: input.enableThinking ?? 0,\n enableTools: input.enableTools ?? 1,\n maxStepCount: input.maxStepCount ?? 6,\n isDefault: input.isDefault ?? 0,\n isCallable: input.isCallable ?? 0,\n sortOrder: input.sortOrder ?? 0,\n enabled: input.enabled ?? 1,\n })\n .returning();\n if (!row) throw new Error(\"创建 agent 失败\");\n\n if (input.isDefault === 1) {\n await dbGlobal\n .update(agents)\n .set({ isDefault: 0 })\n .where(and(sql`${agents.id} != ${row.id}`));\n }\n\n if (input.toolIds && input.toolIds.length > 0) {\n for (let i = 0; i < input.toolIds.length; i++) {\n const toolId = input.toolIds[i]!;\n await dbGlobal.insert(agentToolAssociations).values({\n agentId: row.id,\n toolId,\n sortOrder: i,\n });\n }\n }\n return row;\n}\n\nexport async function updateAgent(id: number, input: UpdateAgentInput): Promise {\n const existing = await getAgentById(id);\n if (!existing) return null;\n\n if (input.slug && input.slug !== existing.slug) {\n const slugConflict = await getAgentBySlugAny(input.slug);\n if (slugConflict) {\n throw new Error(`slug 已存在: ${input.slug}`);\n }\n }\n\n const updates: Partial = {};\n if (input.slug !== undefined) updates.slug = input.slug;\n if (input.name !== undefined) updates.name = input.name;\n if (input.description !== undefined) updates.description = input.description;\n if (input.systemPrompt !== undefined) updates.systemPrompt = input.systemPrompt;\n if (input.defaultModelId !== undefined) updates.defaultModelId = input.defaultModelId;\n if (input.titleModelId !== undefined) updates.titleModelId = input.titleModelId;\n if (input.titleStrategy !== undefined) updates.titleStrategy = input.titleStrategy;\n if (input.enableThinking !== undefined) updates.enableThinking = input.enableThinking;\n if (input.enableTools !== undefined) updates.enableTools = input.enableTools;\n if (input.maxStepCount !== undefined) updates.maxStepCount = input.maxStepCount;\n if (input.isCallable !== undefined) updates.isCallable = input.isCallable;\n if (input.sortOrder !== undefined) updates.sortOrder = input.sortOrder;\n if (input.enabled !== undefined) updates.enabled = input.enabled;\n\n if (input.isDefault !== undefined) {\n updates.isDefault = input.isDefault;\n if (input.isDefault === 1) {\n await dbGlobal\n .update(agents)\n .set({ isDefault: 0 })\n .where(and(sql`${agents.id} != ${id}`));\n }\n }\n\n if (Object.keys(updates).length > 0) {\n await dbGlobal.update(agents).set(updates).where(eq(agents.id, id));\n }\n\n if (input.toolIds !== undefined) {\n await dbGlobal.delete(agentToolAssociations).where(eq(agentToolAssociations.agentId, id));\n for (let i = 0; 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} from \"#server/service/agent-tool\";\n19: import { getMemoryContext } from \"#server/service/agent-document\";\n20: import { checkRateLimit, incrementRateLimit } from \"#server/service/agent/rate-limit\";\n21: import { resolveModelForUser, resolveModelAny, toLanguageModel } from \"#server/service/llm/model-resolver\";\n22: import { generateSessionTitle } from \"./title\";\n23: import type { AgentRow } from \"./agent\";\n24: import type { AgentSessionRow, ContentPart } from \"./types\";\n25: import type { StoredPart } from \"#server/service/agent/stored-part\";\n26: import { extractTextFromParts, normalizeToParts } from \"./types\";\n27: import { createStreamBuffer, appendChunk, markBufferDone, removeStreamBuffer } from \"#server/service/agent/stream-buffer\";\n28: import { registerAbortController, unregisterAbortController } from \"#server/service/agent/abort-manager\";\n29: import log4js from \"logger\";\n30: \n31: const logger = log4js.getLogger(\"APP\");\n32: \n33: export interface ChatEngineParams {\n34: agent: AgentRow;\n35: session: AgentSessionRow;\n36: user: { id: number; role: string | null } | null;\n37: tempToken: string | null;\n38: body: {\n39: parts?: ContentPart[];\n40: content?: string;\n41: editMessageId?: string;\n42: regenerate?: boolean;\n43: continueAfterApproval?: boolean;\n44: approvalToolCallId?: string;\n45: approved?: boolean;\n46: approvalReason?: string;\n47: enableThinking?: boolean;\n48: enableTools?: boolean;\n49: };\n50: ip: string;\n51: preferredModelId?: number | null;\n52: globalDefaultModelId?: number | null;\n53: reviewApprovalMode?: string;\n54: requestId?: string;\n55: registerAbort: (sessionId: string, controller: AbortController) => void;\n56: unregisterAbort: (sessionId: string) => void;\n57: setRateLimitHeaders?: (headers: Record) => void;\n58: onClientClose?: (cb: () => void) => void;\n59: }\n60: \n61: export interface ChatEngineResult {\n62: response: Response;\n63: userMessageId: string | null;\n64: }\n65: \n66: function buildModelMessages(\n67: historyMessages: { id: string; role: string; content: string; parts: string | null }[],\n68: opts: {\n69: skipMessageId?: string;\n70: currentUserParts?: ContentPart[];\n71: approvalToolResults?: Record;\n72: },\n73: ): ModelMessage[] {\n74: const messages: ModelMessage[] = [];\n75: \n76: for (const m of historyMessages) {\n77: if (opts.skipMessageId && m.id === opts.skipMessageId) continue;\n78: \n79: if (m.role === \"assistant\" && m.parts) {\n80: let parts: StoredPart[];\n81: try {\n82: parts = JSON.parse(m.parts);\n83: } catch {\n84: parts = [];\n85: }\n86: \n87: const assistantContent: Array> = [];\n88: \n89: if (m.content) {\n90: assistantContent.push({ type: \"text\", text: m.content });\n91: }\n92: \n93: for (const p of parts) {\n94: if (p.type === \"tool-call\" && p.toolCallId && p.toolName) {\n95: if (p.state === \"approval-requested\" && p.approvalId) {\n96: assistantContent.push({\n97: type: \"tool-approval-request\",\n98: approvalId: p.approvalId,\n99: toolCallId: p.toolCallId,\n100: });\n101: } else if (p.state === \"approval-responded\" && p.approvalId) {\n102: const hasResult = opts.approvalToolResults?.[p.toolCallId] !== undefined;\n103: if (p.approved === true && hasResult) {\n104: assistantContent.push({\n105: type: \"tool-call\",\n106: toolCallId: p.toolCallId,\n107: toolName: p.toolName,\n108: input: p.args ?? {},\n109: });\n110: } else {\n111: assistantContent.push({\n112: type: \"tool-call\",\n113: toolCallId: p.toolCallId,\n114: toolName: p.toolName,\n115: input: p.args ?? {},\n116: });\n117: assistantContent.push({\n118: type: \"tool-approval-request\",\n119: approvalId: p.approvalId,\n120: toolCallId: p.toolCallId,\n121: });\n122: }\n123: } else {\n124: const toolCallPart: Record = {\n125: type: \"tool-call\",\n126: toolCallId: p.toolCallId,\n127: toolName: p.toolName,\n128: input: p.args ?? {},\n129: };\n130: if (p.state === \"result\" && p.result !== undefined) {\n131: toolCallPart.output = p.result;\n132: }\n133: assistantContent.push(toolCallPart);\n134: }\n135: } else if (p.type === \"reasoning\" && p.text) {\n136: assistantContent.push({ type: \"reasoning\", text: p.text });\n137: } else if (p.type === \"text\" && p.text && !m.content) {\n138: assistantContent.push({ type: \"text\", text: p.text });\n139: }\n140: }\n141: \n142: if (assistantContent.length > 0) {\n143: messages.push({ role: \"assistant\", content: assistantContent } as ModelMessage);\n144: }\n145: \n146: const toolResults: Array> = [];\n147: const approvalResponses: Array> = [];\n148: for (const p of parts) {\n149: if (p.type === \"tool-call\" && p.toolCallId && p.toolName && p.state === \"result\" && p.result !== undefined) {\n150: toolResults.push({\n151: type: \"tool-result\",\n152: toolCallId: p.toolCallId,\n153: toolName: p.toolName,\n154: output: { type: \"json\" as const, value: p.result as unknown },\n155: });\n156: }\n157: if (p.type === \"tool-call\" && p.state === \"approval-responded\" && p.approvalId) {\n158: const tcId = p.toolCallId!;\n159: const hasResult = opts.approvalToolResults?.[tcId] !== undefined;\n160: if (p.approved === true && hasResult) {\n161: toolResults.push({\n162: type: \"tool-result\",\n163: toolCallId: tcId,\n164: toolName: p.toolName!,\n165: output: { type: \"json\" as const, value: opts.approvalToolResults![tcId] as unknown },\n166: });\n167: } else {\n168: approvalResponses.push({\n169: type: \"tool-approval-response\",\n170: approvalId: p.approvalId,\n171: approved: p.approved ?? false,\n172: reason: p.approvalReason,\n173: });\n174: }\n175: }\n176: }\n177: \n178: if (toolResults.length > 0 || approvalResponses.length > 0) {\n179: messages.push({ role: \"tool\", content: [...toolResults, ...approvalResponses] } as ModelMessage);\n180: }\n181: } else if (m.role === \"user\") {\n182: const userContent = parseUserMessageContent(m.content, m.parts);\n183: if (userContent) {\n184: messages.push({ role: \"user\", content: userContent } as ModelMessage);\n185: }\n186: }\n187: }\n188: \n189: if (opts.currentUserParts !== undefined && opts.currentUserParts.length > 0) {\n190: const userContent = partsToModelContent(opts.currentUserParts);\n191: if (userContent) {\n192: messages.push({ role: \"user\", content: userContent } as ModelMessage);\n193: }\n194: }\n195: \n196: return messages;\n197: }\n198: \n199: function parseUserMessageContent(content: string, partsJson: string | null): string | Array> | undefined {\n200: if (partsJson) {\n201: try {\n202: const parsed: unknown = JSON.parse(partsJson);\n203: if (Array.isArray(parsed)) {\n204: const hasImage = parsed.some((p: any) => p && typeof p === \"object\" && p.type === \"image\");\n205: if (hasImage) {\n206: return partsToModelContent(parsed as ContentPart[]);\n207: }\n208: }\n209: } catch {\n210: // fall through to text-only\n211: }\n212: }\n213: return content || undefined;\n214: }\n215: \n216: function resolveImageToDataContent(url: string): { data: string; mediaType: string } | null {\n217: if (/^https?:\\/\\//i.test(url) || /^data:/i.test(url)) {\n218: return null;\n219: }\n220: const filePath = url.replace(/^\\/+/, \"\");\n221: const absPath = path.resolve(process.cwd(), filePath);\n222: if (!fs.existsSync(absPath)) return null;\n223: const buffer = fs.readFileSync(absPath);\n224: const ext = path.extname(absPath).toLowerCase();\n225: const mimeMap: Record = {\n226: \".png\": \"image/png\",\n227: \".jpg\": \"image/jpeg\",\n228: \".jpeg\": \"image/jpeg\",\n229: \".webp\": \"image/webp\",\n230: \".svg\": \"image/svg+xml\",\n231: \".ico\": \"image/x-icon\",\n232: };\n233: const mediaType = mimeMap[ext] || \"application/octet-stream\";\n234: return { data: buffer.toString(\"base64\"), mediaType };\n235: }\n236: \n237: function partsToModelContent(parts: ContentPart[]): string | Array> | undefined {\n238: if (parts.length === 0) return undefined;\n239: const hasImage = parts.some((p) => p.type === \"image\");\n240: if (!hasImage) {\n241: const text = extractTextFromParts(parts);\n242: return text || undefined;\n243: }\n244: const contentArr: Array> = [];\n245: for (const p of parts) {\n246: if (p.type === \"text\" && p.text) {\n247: contentArr.push({ type: \"text\", text: p.text });\n248: } else if (p.type === \"image\" && p.image) {\n249: const local = resolveImageToDataContent(p.image);\n250: if (local) {\n251: contentArr.push({\n252: type: \"file\",\n253: data: local.data,\n254: mediaType: p.mimeType || local.mediaType,\n255: });\n256: } else if (/^https?:\\/\\//i.test(p.image)) {\n257: contentArr.push({\n258: type: \"file\",\n259: data: new URL(p.image),\n260: mediaType: p.mimeType || \"image/jpeg\",\n261: });\n262: }\n263: }\n264: }\n265: return contentArr.length > 0 ? contentArr : undefined;\n266: }\n267: \n268: export async function executeChat(params: ChatEngineParams): Promise {\n269: const { agent, session, user, body, ip, requestId = \"-\" } = params;\n270: const sessionId = session.id;\n271: const {\n272: parts: bodyParts,\n273: content: bodyContent,\n274: editMessageId,\n275: regenerate,\n276: continueAfterApproval,\n277: approvalToolCallId,\n278: approved,\n279: approvalReason,\n280: enableThinking: bodyEnableThinking,\n281: enableTools: bodyEnableTools,\n282: } = body;\n283: \n284: const isApprovalContinue = continueAfterApproval === true && approvalToolCallId;\n285: \n286: const inputParts: ContentPart[] = bodyParts ?? normalizeToParts(bodyContent);\n287: const textContent = extractTextFromParts(inputParts);\n288: const hasImages = inputParts.some((p) => p.type === \"image\");\n289: const partsJson = hasImages ? JSON.stringify(inputParts) : null;\n290: \n291: if (!user) {\n292: const rateLimit = checkRateLimit(agent.slug, sessionId, ip);\n293: if (rateLimit.blocked) {\n294: params.setRateLimitHeaders?.({\n295: \"X-RateLimit-Session-Remaining\": String(rateLimit.sessionRemaining),\n296: \"X-RateLimit-Ip-Remaining\": String(rateLimit.ipRemaining),\n297: });\n298: throw createError({\n299: statusCode: 429,\n300: statusMessage:\n301: rateLimit.sessionRemaining === 0 ? \"当前会话已达回复上限，请登录后继续\" : \"今日回复次数已达上限，请登录或明日再试\",\n302: });\n303: }\n304: params.setRateLimitHeaders?.({\n305: \"X-RateLimit-Session-Remaining\": String(rateLimit.sessionRemaining),\n306: \"X-RateLimit-Ip-Remaining\": String(rateLimit.ipRemaining),\n307: });\n308: }\n309: \n310: let resolvedModel;\n311: if (user) {\n312: const targetModelId = session.modelId ?? params.preferredModelId ?? agent.defaultModelId ?? params.globalDefaultModelId;\n313: if (!targetModelId) {\n314: throw createError({ statusCode: 400, statusMessage: \"未配置模型，请先在设置中选择模型\" });\n315: }\n316: resolvedModel = await resolveModelForUser(targetModelId, user.id);\n317: } else {\n318: const targetModelId = session.modelId ?? agent.defaultModelId ?? params.globalDefaultModelId;\n319: if (!targetModelId) {\n320: throw createError({ statusCode: 400, statusMessage: \"系统未配置默认模型\" });\n321: }\n322: resolvedModel = await resolveModelAny(targetModelId);\n323: }\n324: \n325: if (!resolvedModel) {\n326: throw createError({ statusCode: 404, statusMessage: \"模型不存在或无权访问\" });\n327: }\n328: \n329: if (!resolvedModel.provider.apiKey) {\n330: throw createError({ statusCode: 400, statusMessage: \"供应商未配置 API Key\" });\n331: }\n332: \n333: const languageModel: LanguageModel = toLanguageModel(resolvedModel);\n334: \n335: const baseSystemPrompt = session.systemPrompt?.trim() || agent.systemPrompt || undefined;\n336: \n337: let systemPrompt = baseSystemPrompt;\n338: if (user) {\n339: const memoryContext = await getMemoryContext(user.id, agent.id);\n340: if (memoryContext) {\n341: const memoryInstruction =\n342: \"\\n\\n# 持久记忆（已注入上下文）\\n以下 标签内的信息是你的持久记忆，每次对话开始时自动加载，始终是最新的。\\n**禁止调用 document 工具的 read 或 list 操作来读取这些记忆** — 它们已经在你的上下文中了。\\n直接使用 中的内容回答用户问题即可。\\n只有需要创建新记忆或修改已有记忆时，才使用 document 工具。\";\n343: systemPrompt = systemPrompt\n344: ? `${systemPrompt}${memoryInstruction}\\n${memoryContext}`\n345: : `${memoryInstruction}\\n${memoryContext}`;\n346: }\n347: }\n348: \n349: const sessionEnableTools = session.enableTools !== null ? session.enableTools === 1 : agent.enableTools === 1;\n350: const toolsEnabled = bodyEnableTools !== undefined ? bodyEnableTools : sessionEnableTools;\n351: \n352: const { tools } = await getAgentToolsForChatByAgentId({\n353: agentId: agent.id,\n354: userId: user?.id ?? null,\n355: userRole: (user?.role as any) ?? null,\n356: enableTools: toolsEnabled,\n357: recursionDepth: 0,\n358: });\n359: \n360: let historyMessages = await getMessagesBySession(sessionId, { limit: 100, latest: true });\n361: \n362: let userMessage;\n363: let shouldGenerateTitle = false;\n364: \n365: if (isApprovalContinue) {\n366: userMessage = historyMessages.filter((m) => m.role === \"user\").pop() ?? historyMessages[0];\n367: const assistantCount = await countAssistantMessages(sessionId);\n368: if (assistantCount <= 1) {\n369: shouldGenerateTitle = true;\n370: }\n371: } else if (editMessageId) {\n372: const editMsg = await getMessageById(editMessageId);\n373: if (!editMsg || editMsg.sessionId !== sessionId) {\n374: throw createError({ statusCode: 400, statusMessage: \"编辑的消息不存在\" });\n375: }\n376: await truncateMessagesAfter(sessionId, editMsg.sortOrder);\n377: await updateMessageContent(editMessageId, textContent.trim());\n378: if (partsJson) {\n379: await updateMessageParts(editMessageId, partsJson);\n380: }\n381: historyMessages = await getMessagesBySession(sessionId, { limit: 100, latest: true });\n382: userMessage = editMsg;\n383: } else if (regenerate) {\n384: const lastAssistant = historyMessages.filter((m) => m.role === \"assistant\").pop();\n385: if (lastAssistant) {\n386: await deleteMessage(lastAssistant.id);\n387: historyMessages = await getMessagesBySession(sessionId, { limit: 100, latest: true });\n388: }\n389: const lastUser = historyMessages.filter((m) => m.role === \"user\").pop();\n390: if (lastUser) {\n391: await updateMessageContent(lastUser.id, textContent.trim());\n392: if (partsJson) {\n393: await updateMessageParts(lastUser.id, partsJson);\n394: }\n395: userMessage = lastUser;\n396: } else {\n397: const sortOrder = (await getMaxSortOrder(sessionId)) + 1;\n398: userMessage = await saveMessage({\n399: sessionId,\n400: role: \"user\",\n401: content: textContent.trim(),\n402: parts: partsJson,\n403: sortOrder,\n404: });\n405: shouldGenerateTitle = true;\n406: }\n407: } else {\n408: const sortOrder = (await getMaxSortOrder(sessionId)) + 1;\n409: userMessage = await saveMessage({\n410: sessionId,\n411: role: \"user\",\n412: content: textContent.trim(),\n413: parts: partsJson,\n414: sortOrder,\n415: });\n416: const assistantCount = await countAssistantMessages(sessionId);\n417: if (assistantCount === 0) {\n418: shouldGenerateTitle = true;\n419: }\n420: }\n421: \n422: const approvalToolResults: Record = {};\n423: if (isApprovalContinue) {\n424: const pendingSlugs = new Set();\n425: for (const m of historyMessages) {\n426: if (!m.parts) continue;\n427: let parts: StoredPart[];\n428: try {\n429: parts = JSON.parse(m.parts);\n430: } catch {\n431: continue;\n432: }\n433: for (const p of parts) {\n434: if (p.type !== \"tool-call\" || !p.toolCallId || !p.toolName) continue;\n435: if (p.state !== \"approval-responded\" || p.approved !== true) continue;\n436: if (approvalToolResults[p.toolCallId] !== undefined) continue;\n437: pendingSlugs.add(p.toolName);\n438: }\n439: }\n440: const toolMap = await getAgentToolsBySlugs([...pendingSlugs]);\n441: \n442: for (const m of historyMessages) {\n443: if (!m.parts) continue;\n444: let parts: StoredPart[];\n445: try {\n446: parts = JSON.parse(m.parts);\n447: } catch {\n448: continue;\n449: }\n450: for (const p of parts) {\n451: if (p.type !== \"tool-call\" || !p.toolCallId || !p.toolName) continue;\n452: if (p.state !== \"approval-responded\" || p.approved !== true) continue;\n453: if (approvalToolResults[p.toolCallId] !== undefined) continue;\n454: const agentTool = toolMap.get(p.toolName);\n455: if (!agentTool) {\n456: approvalToolResults[p.toolCallId] = { error: `Tool ${p.toolName} not found` };\n457: continue;\n458: }\n459: try {\n460: const result = await executeAgentTool(agentTool.id, p.args, user?.id ?? null, p.approved, agent.id);\n461: approvalToolResults[p.toolCallId] = result;\n462: logger.info(\"[%s] [APPROVAL-EXEC] tool=%s result=%s\", requestId, p.toolName, JSON.stringify(result).slice(0, 200));\n463: } catch (err) {\n464: approvalToolResults[p.toolCallId] = { error: err instanceof Error ? err.message : String(err) };\n465: logger.error(\"[%s] [APPROVAL-EXEC] tool=%s error=%s\", requestId, p.toolName, approvalToolResults[p.toolCallId]);\n466: }\n467: }\n468: }\n469: }\n470: \n471: const modelMessages = buildModelMessages(historyMessages, {\n472: skipMessageId: isApprovalContinue ? undefined : userMessage?.id,\n473: currentUserParts: isApprovalContinue ? undefined : inputParts,\n474: approvalToolResults,\n475: });\n476: \n477: const sessionEnableThinking =\n478: session.enableThinking !== null ? session.enableThinking === 1 : agent.enableThinking === 1;\n479: const thinkingEnabled = bodyEnableThinking !== undefined ? bodyEnableThinking : sessionEnableThinking;\n480: \n481: const maxSteps = agent.maxStepCount ?? 8;\n482: \n483: logger.info(\n484: \"[%s] [CHAT-ENGINE] agent=%s userId=%s sessionId=%s thinking=%s tools=%d maxSteps=%d edit=%s regen=%s approval=%s\",\n485: requestId,\n486: agent.slug,\n487: user?.id ?? \"temp\",\n488: sessionId,\n489: thinkingEnabled ? \"on\" : \"off\",\n490: Object.keys(tools).length,\n491: maxSteps,\n492: editMessageId ? \"yes\" : \"no\",\n493: regenerate ? \"yes\" : \"no\",\n494: isApprovalContinue ? \"yes\" : \"no\",\n495: );\n496: \n497: const streamBuffer = createStreamBuffer(sessionId, {\n498: modelId: resolvedModel.dbId,\n499: userMessageId: userMessage?.id ?? null,\n500: });\n501: \n502: const serverAbortController = new AbortController();\n503: params.registerAbort(sessionId, serverAbortController);\n504: \n505: let streamedText = \"\";\n506: let streamedReasoning = \"\";\n507: let streamedToolCalls: Array> = [];\n508: let chunkPartId = 0;\n509: let streamedParts: Array> = [];\n510: let activeTextPartIdx = -1;\n511: let activeReasoningPartIdx = -1;\n512: \n513: params.onClientClose?.(() => {\n514: if (!serverAbortController.signal.aborted) {\n515: logger.info(\"[%s] [CHAT-ENGINE] client disconnected, aborting streamText\", requestId);\n516: serverAbortController.abort();\n517: }\n518: });\n519: \n520: let approvalPrefixChunk: Uint8Array | null = null;\n521: if (isApprovalContinue && Object.keys(approvalToolResults).length > 0) {\n522: const prefixChunks = Object.entries(approvalToolResults).map(\n523: ([toolCallId, output]) =>\n524: `data: ${JSON.stringify({\n525: type: \"tool-output-available\",\n526: toolCallId,\n527: output,\n528: })}\\n\\n`,\n529: );\n530: approvalPrefixChunk = new TextEncoder().encode(prefixChunks.join(\"\"));\n531: appendChunk(sessionId, approvalPrefixChunk);\n532: logger.info(\"[%s] [APPROVAL-PREFIX] written %d bytes to buffer before stream start\", requestId, approvalPrefixChunk.length);\n533: }\n534: \n535: const toolApproval = params.reviewApprovalMode === \"all-pass\"\n536: ? () => \"approved\" as const\n537: : undefined;\n538: \n539: const result = streamText({\n540: model: languageModel,\n541: system: systemPrompt,\n542: messages: modelMessages,\n543: abortSignal: serverAbortController.signal,\n544: ...(Object.keys(tools).length > 0\n545: ? {\n546: tools,\n547: stopWhen: stepCountIs(maxSteps),\n548: ...(toolApproval ? { toolApproval } : {}),\n549: }\n550: : {}),\n551: ...(thinkingEnabled\n552: ? {\n553: providerOptions: {\n554: openaiCompatible: { reasoningEffort: \"high\" },\n555: },\n556: }\n557: : {}),\n558: onError: (errorData) => {\n559: const err = errorData?.error;\n560: const errMsg = err instanceof Error ? err.message : String(err ?? \"未知错误\");\n561: const errCause = err instanceof Error ? JSON.stringify(err.cause ?? null, null, 2) : \"\";\n562: logger.error(\"[%s] [CHAT-ENGINE] streamText error: %s\\ncause: %s\", requestId, errMsg, errCause);\n563: },\n564: onChunk: ({ chunk }) => {\n565: if (chunk.type === \"text-delta\") {\n566: streamedText += chunk.text;\n567: if (activeTextPartIdx < 0) {\n568: activeTextPartIdx = streamedParts.length;\n569: streamedParts.push({ id: `p_${chunkPartId++}`, type: \"text\", text: \"\" });\n570: }\n571: const tp = streamedParts[activeTextPartIdx] as Record;\n572: tp.text = ((tp.text as string) || \"\") + chunk.text;\n573: } else if (chunk.type === \"text-start\") {\n574: activeTextPartIdx = streamedParts.length;\n575: streamedParts.push({ id: `p_${chunkPartId++}`, type: \"text\", text: \"\" });\n576: } else if (chunk.type === \"text-end\") {\n577: activeTextPartIdx = -1;\n578: } else if (chunk.type === \"reasoning-delta\") {\n579: streamedReasoning += chunk.text;\n580: if (activeReasoningPartIdx < 0) {\n581: activeReasoningPartIdx = streamedParts.length;\n582: streamedParts.push({ id: `p_${chunkPartId++}`, type: \"reasoning\", text: \"\" });\n583: }\n584: const rp = streamedParts[activeReasoningPartIdx] as Record;\n585: rp.text = ((rp.text as string) || \"\") + chunk.text;\n586: } else if (chunk.type === \"reasoning-start\") {\n587: activeReasoningPartIdx = streamedParts.length;\n588: streamedParts.push({ id: `p_${chunkPartId++}`, type: \"reasoning\", text: \"\" });\n589: } else if (chunk.type === \"reasoning-end\") {\n590: activeReasoningPartIdx = -1;\n591: } else if (chunk.type === \"tool-input-start\") {\n592: streamedParts.push({\n593: id: `p_${chunkPartId++}`,\n594: type: \"tool-call\",\n595: toolCallId: chunk.id,\n596: toolName: chunk.toolName,\n597: args: undefined,\n598: state: \"preparing\",\n599: });\n600: } else if (chunk.type === \"tool-call\") {\n601: streamedToolCalls.push({\n602: id: `p_${chunkPartId++}`,\n603: type: \"tool-call\",\n604: toolCallId: chunk.toolCallId,\n605: toolName: chunk.toolName,\n606: args: chunk.input,\n607: state: \"call\",\n608: });\n609: const existing = streamedParts.find(\n610: (p) => p.type === \"tool-call\" && p.toolCallId === chunk.toolCallId,\n611: );\n612: if (existing) {\n613: existing.args = chunk.input;\n614: existing.state = \"call\";\n615: } else {\n616: streamedParts.push({\n617: id: `p_${chunkPartId++}`,\n618: type: \"tool-call\",\n619: toolCallId: chunk.toolCallId,\n620: toolName: chunk.toolName,\n621: args: chunk.input,\n622: state: \"call\",\n623: });\n624: }\n625: } else if (chunk.type === \"tool-result\") {\n626: const tcIdx = streamedToolCalls.findIndex((tc) => tc.toolCallId === chunk.toolCallId);\n627: const tcEntry = tcIdx >= 0 ? streamedToolCalls[tcIdx] : undefined;\n628: if (tcEntry) {\n629: tcEntry.result = chunk.output;\n630: tcEntry.state = \"result\";\n631: }\n632: const part = streamedParts.find(\n633: (p) => p.type === \"tool-call\" && p.toolCallId === chunk.toolCallId,\n634: );\n635: if (part) {\n636: part.result = chunk.output;\n637: part.state = \"result\";\n638: }\n639: }\n640: },\n641: onFinish: async ({ finishReason, usage, steps, text: assistantText }) => {\n642: try {\n643: if (serverAbortController.signal.aborted) {\n644: logger.info(\"[%s] [CHAT-ENGINE] onFinish skipped due to abort\", requestId);\n645: params.unregisterAbort(sessionId);\n646: return;\n647: }\n648: logger.info(\n649: \"[%s] [CHAT-ENGINE] finished: reason=%s steps=%d inputTokens=%d outputTokens=%d\",\n650: requestId,\n651: finishReason,\n652: steps.length,\n653: usage?.inputTokens ?? 0,\n654: usage?.outputTokens ?? 0,\n655: );\n656: \n657: const parts: Array> = [];\n658: let hasTextPart = false;\n659: for (const step of steps) {\n660: const toolResultMap = new Map(step.toolResults.map((tr) => [tr.toolCallId, tr.output]));\n661: const contentArr = step.content as Array>;\n662: logger.info(\n663: \"[%s] [CHAT-ENGINE] step %d content order: %s\",\n664: requestId,\n665: step.stepNumber,\n666: contentArr.map((cp) => cp.type + (cp.type === \"tool-call\" ? `(${(cp as any).toolName})` : \"\")).join(\" → \"),\n667: );\n668: const approvalToolCallIds = new Set();\n669: for (const cp of contentArr) {\n670: if (cp.type === \"tool-approval-request\" && (cp as any).approvalId && (cp as any).toolCall) {\n671: approvalToolCallIds.add((cp as any).toolCall.toolCallId);\n672: }\n673: }\n674: for (const cp of contentArr) {\n675: if (cp.type === \"reasoning\" && (cp as any).text) {\n676: parts.push({ id: `p_${parts.length}`, type: \"reasoning\", text: (cp as any).text });\n677: } else if (cp.type === \"text\" && (cp as any).text) {\n678: parts.push({ id: `p_${parts.length}`, type: \"text\", text: (cp as any).text });\n679: hasTextPart = true;\n680: } else if (cp.type === \"tool-approval-request\" && (cp as any).approvalId && (cp as any).toolCall) {\n681: const tc = (cp as any).toolCall;\n682: const toolResult = toolResultMap.get(tc.toolCallId);\n683: if (toolResult === undefined) {\n684: parts.push({\n685: id: `p_${parts.length}`,\n686: type: \"tool-call\",\n687: toolCallId: tc.toolCallId,\n688: toolName: tc.toolName,\n689: args: tc.input,\n690: state: \"approval-requested\",\n691: approvalId: (cp as any).approvalId,\n692: });\n693: } else {\n694: parts.push({\n695: id: `p_${parts.length}`,\n696: type: \"tool-call\",\n697: toolCallId: tc.toolCallId,\n698: toolName: tc.toolName,\n699: args: tc.input,\n700: result: toolResult,\n701: state: \"result\",\n702: approvalId: (cp as any).approvalId,\n703: });\n704: }\n705: } else if (cp.type === \"tool-call\") {\n706: const tc = cp as any;\n707: if (approvalToolCallIds.has(tc.toolCallId)) continue;\n708: const toolResult = toolResultMap.get(tc.toolCallId);\n709: parts.push({\n710: id: `p_${parts.length}`,\n711: type: \"tool-call\",\n712: toolCallId: tc.toolCallId,\n713: toolName: tc.toolName,\n714: args: tc.input,\n715: result: toolResult,\n716: state: \"result\",\n717: });\n718: }\n719: }\n720: }\n721: \n722: const hasToolCallPart = parts.some((p) => p.type === \"tool-call\");\n723: const stepLimitReached = finishReason === \"tool-calls\" && !hasTextPart && hasToolCallPart;\n724: let finalText = assistantText;\n725: if (stepLimitReached) {\n726: const noticeText = \"（已达到工具调用次数上限，模型未能生成最终回答。以上是工具调用的执行记录。）\";\n727: parts.push({ id: `p_${parts.length}`, type: \"text\", text: noticeText });\n728: finalText = (finalText || \"\") + noticeText;\n729: logger.info(\"[%s] [CHAT-ENGINE] step limit reached, appended notice part\", requestId);\n730: }\n731: \n732: if (isApprovalContinue) {\n733: const lastAssistant = historyMessages.filter((m) => m.role === \"assistant\").pop();\n734: if (lastAssistant) {\n735: let existingParts: Array> = [];\n736: try {\n737: existingParts = lastAssistant.parts ? JSON.parse(lastAssistant.parts) : [];\n738: } catch {\n739: existingParts = [];\n740: }\n741: logger.info(\"[%s] [APPROVAL-CONTINUE] merged %d existing parts with %d new parts\", requestId, existingParts.length, parts.length);\n742: for (const p of existingParts) {\n743: if (p.type === \"tool-call\" && p.state === \"approval-responded\") {\n744: const tcId = p.toolCallId as string | undefined;\n745: if (p.approved === true && tcId && approvalToolResults[tcId] !== undefined) {\n746: p.result = approvalToolResults[tcId];\n747: p.state = \"result\";\n748: } else if (p.approved === false) {\n749: p.result = \"工具执行被拒绝\";\n750: p.state = \"result\";\n751: }\n752: }\n753: }\n754: const newParts = parts.filter(\n755: (np) => np.type !== \"tool-call\" || !existingParts.some((ep) => ep.toolCallId === np.toolCallId),\n756: );\n757: const idOffset = existingParts.length;\n758: for (let i = 0; i < newParts.length; i++) {\n759: newParts[i]!.id = `p_${idOffset + i}`;\n760: }\n761: const mergedParts = [...existingParts, ...newParts];\n762: const mergedContent = (lastAssistant.content || \"\") + finalText;\n763: await updateMessageContent(lastAssistant.id, mergedContent);\n764: await updateMessageParts(lastAssistant.id, JSON.stringify(mergedParts));\n765: }\n766: } else {\n767: const assistantSortOrder = (await getMaxSortOrder(sessionId)) + 1;\n768: await saveMessage({\n769: sessionId,\n770: role: \"assistant\",\n771: content: finalText,\n772: parts: parts.length > 0 ? JSON.stringify(parts) : null,\n773: modelId: resolvedModel.dbId,\n774: inputTokens: usage?.inputTokens ?? null,\n775: outputTokens: usage?.outputTokens ?? null,\n776: sortOrder: assistantSortOrder,\n777: });\n778: }\n779: \n780: await touchSession(sessionId);\n781: \n782: if (!user) {\n783: incrementRateLimit(agent.slug, sessionId, ip);\n784: const rateLimit = checkRateLimit(agent.slug, sessionId, ip);\n785: params.setRateLimitHeaders?.({\n786: \"X-RateLimit-Session-Remaining\": String(rateLimit.sessionRemaining),\n787: \"X-RateLimit-Ip-Remaining\": String(rateLimit.ipRemaining),\n788: });\n789: }\n790: \n791: if (shouldGenerateTitle && assistantText.trim().length > 0) {\n792: generateSessionTitle({\n793: sessionId,\n794: agent,\n795: firstUserMessage: textContent.trim(),\n796: firstAssistantMessage: assistantText,\n797: userId: user?.id ?? null,\n798: }).catch((e) => {\n799: logger.error(\"[CHAT-ENGINE] title gen failed: %s\", e?.message ?? e);\n800: });\n801: }\n802: params.unregisterAbort(sessionId);\n803: } catch (e) {\n804: logger.error(\"[%s] [CHAT-ENGINE] onFinish error: %s\", requestId, e instanceof Error ? e.message : String(e));\n805: }\n806: },\n807: onAbort: async () => {\n808: try {\n809: const partialText = streamedText;\n810: logger.info(\"[%s] [CHAT-ENGINE] aborted: streamedTextLen=%d streamedToolCalls=%d\", requestId, partialText.length, streamedToolCalls.length);\n811: \n812: const parts: Array> = streamedParts\n813: .filter((p) => {\n814: if (p.type === \"text\") return ((p.text as string) || \"\").trim().length > 0;\n815: if (p.type === \"reasoning\") return ((p.text as string) || \"\").trim().length > 0;\n816: return true;\n817: })\n818: .map((p, i) => ({ ...p, id: `p_${i}` }));\n819: let hasTextPart = parts.some((p) => p.type === \"text\");\n820: const hasToolCallPart = parts.some((p) => p.type === \"tool-call\");\n821: let finalText = partialText;\n822: if (!hasTextPart && hasToolCallPart) {\n823: const noticeText = \"（对话已停止，以上是已完成的工具调用记录。）\";\n824: parts.push({ id: `p_${parts.length}`, type: \"text\", text: noticeText });\n825: finalText = (finalText || \"\") + noticeText;\n826: hasTextPart = true;\n827: logger.info(\"[%s] [CHAT-ENGINE] aborted with tool calls but no text, appended notice\", requestId);\n828: }\n829: \n830: if (isApprovalContinue) {\n831: const lastAssistant = historyMessages.filter((m) => m.role === \"assistant\").pop();\n832: if (lastAssistant) {\n833: let existingParts: Array> = [];\n834: try {\n835: existingParts = lastAssistant.parts ? JSON.parse(lastAssistant.parts) : [];\n836: } catch {\n837: existingParts = [];\n838: }\n839: for (const p of existingParts) {\n840: if (p.type === \"tool-call\" && p.state === \"approval-responded\") {\n841: const tcId = p.toolCallId as string | undefined;\n842: if (p.approved === true && tcId && approvalToolResults[tcId] !== undefined) {\n843: p.result = approvalToolResults[tcId];\n844: p.state = \"result\";\n845: } else if (p.approved === false) {\n846: p.result = \"工具执行被拒绝\";\n847: p.state = \"result\";\n848: }\n849: }\n850: }\n851: const newParts = parts.filter(\n852: (np) => np.type !== \"tool-call\" || !existingParts.some((ep) => ep.toolCallId === np.toolCallId),\n853: );\n854: const idOffset = existingParts.length;\n855: for (let i = 0; i < newParts.length; i++) {\n856: newParts[i]!.id = `p_${idOffset + i}`;\n857: }\n858: const mergedParts = [...existingParts, ...newParts];\n859: const mergedContent = (lastAssistant.content || \"\") + finalText;\n860: await updateMessageContent(lastAssistant.id, mergedContent);\n861: await updateMessageParts(lastAssistant.id, JSON.stringify(mergedParts));\n862: }\n863: } else {\n864: const hasContent = finalText.trim().length > 0 || parts.length > 0;\n865: if (hasContent) {\n866: const assistantSortOrder = (await getMaxSortOrder(sessionId)) + 1;\n867: await saveMessage({\n868: sessionId,\n869: role: \"assistant\",\n870: content: finalText,\n871: parts: parts.length > 0 ? JSON.stringify(parts) : null,\n872: modelId: resolvedModel.dbId,\n873: sortOrder: assistantSortOrder,\n874: });\n875: }\n876: }\n877: \n878: await touchSession(sessionId);\n879: \n880: if (!user) {\n881: incrementRateLimit(agent.slug, sessionId, ip);\n882: }\n883: \n884: markBufferDone(sessionId);\n885: params.unregisterAbort(sessionId);\n886: logger.info(\"[%s] [CHAT-ENGINE] abort save complete: contentLen=%d partsCount=%d\", requestId, partialText.length, parts.length);\n887: } catch (abortErr) {\n888: logger.error(\"[%s] [CHAT-ENGINE] onAbort error: %s\", requestId, abortErr instanceof Error ? abortErr.message : String(abortErr));\n889: markBufferDone(sessionId);\n890: params.unregisterAbort(sessionId);\n891: }\n892: },\n893: });\n894: \n895: const responseHeaders: Record = {\n896: \"X-User-Message-Id\": userMessage?.id ?? \"\",\n897: };\n898: \n899: const response = result.toUIMessageStreamResponse({\n900: sendReasoning: true,\n901: headers: responseHeaders,\n902: onError: (error) => {\n903: const errMsg = error instanceof Error ? error.message : String(error ?? \"未知错误\");\n904: logger.error(\"[%s] [CHAT-ENGINE] streamText error: %s\", requestId, errMsg);\n905: return errMsg;\n906: },\n907: });\n908: \n909: function wrapStreamWithBuffer(originalBody: ReadableStream): ReadableStream {\n910: return new ReadableStream({\n911: start(controller) {\n912: const reader = originalBody.getReader();\n913: let clientDisconnected = false;\n914: function pump() {\n915: reader.read().then(({ done, value }) => {\n916: if (done) {\n917: markBufferDone(sessionId);\n918: if (!clientDisconnected) {\n919: try { controller.close(); } catch { /* already closed */ }\n920: }\n921: return;\n922: }\n923: if (value) {\n924: appendChunk(sessionId, value);\n925: if (!clientDisconnected) {\n926: try {\n927: controller.enqueue(value);\n928: } catch {\n929: clientDisconnected = true;\n930: }\n931: }\n932: }\n933: pump();\n934: }).catch((err) => {\n935: if (serverAbortController.signal.aborted) {\n936: logger.info(\"[%s] [CHAT-ENGINE] stream reader aborted by server abort\", requestId);\n937: } else {\n938: logger.error(\"[%s] [CHAT-ENGINE] buffer stream read error: %s\", requestId, err instanceof Error ? err.message : String(err));\n939: }\n940: markBufferDone(sessionId);\n941: if (!clientDisconnected) {\n942: try { controller.close(); } catch { /* already closed */ }\n943: }\n944: });\n945: }\n946: pump();\n947: },\n948: });\n949: }\n950: \n951: if (continueAfterApproval && approvalPrefixChunk && Object.keys(approvalToolResults).length > 0) {\n952: const originalBody = response.body;\n953: if (originalBody) {\n954: const prefix = approvalPrefixChunk;\n955: \n956: const transformed = new ReadableStream({\n957: async start(controller) {\n958: controller.enqueue(prefix);\n959: const reader = originalBody.getReader();\n960: let clientDisconnected = false;\n961: try {\n962: while (true) {\n963: const { done, value } = await reader.read();\n964: if (done) break;\n965: if (value) {\n966: appendChunk(sessionId, value);\n967: if (!clientDisconnected) {\n968: try {\n969: controller.enqueue(value);\n970: } catch {\n971: clientDisconnected = true;\n972: }\n973: }\n974: }\n975: }\n976: } catch (err) {\n977: logger.error(\"[%s] [CHAT-ENGINE] stream read error: %s\", requestId, err instanceof Error ? err.message : String(err));\n978: const errorChunk = new TextEncoder().encode(\n979: `data: ${JSON.stringify({ type: \"error\", errorText: \"流式响应中断\" })}\\n\\n`,\n980: );\n981: appendChunk(sessionId, errorChunk);\n982: if (!clientDisconnected) {\n983: try { controller.enqueue(errorChunk); } catch { /* client gone */ }\n984: }\n985: } finally {\n986: markBufferDone(sessionId);\n987: if (!clientDisconnected) {\n988: try { controller.close(); } catch { /* already closed */ }\n989: }\n990: }\n991: },\n992: });\n993: \n994: return {\n995: response: new Response(transformed, {\n996: status: response.status,\n997: statusText: response.statusText,\n998: headers: response.headers,\n999: }),\n1000: userMessageId: userMessage?.id ?? null,\n1001: };\n1002: }\n1003: }\n1004: \n1005: if (response.body) {\n1006: const bufferedBody = wrapStreamWithBuffer(response.body);\n1007: return {\n1008: response: new Response(bufferedBody, {\n1009: status: response.status,\n1010: statusText: response.statusText,\n1011: headers: response.headers,\n1012: }),\n1013: userMessageId: userMessage?.id ?? null,\n1014: };\n1015: }\n1016: \n1017: return {\n1018: response,\n1019: userMessageId: userMessage?.id ?? null,\n1020: };\n1021: }\n\n(End of file - total 1021 lines)\n"}]}} +{"type":"tool/result","seq":2170,"time":1786844132208,"data":{"turn":1,"step":7,"message":{"source":{"kind":"tool","callId":"call_00_o48JOJ5DtH77eb8F8K3w3805"},"content":[{"type":"tool-result","toolCallId":"call_00_o48JOJ5DtH77eb8F8K3w3805","content":[{"type":"text","text":"=== chat-engine.ts (lines: 1021) ===\nimport { type LanguageModel, type ModelMessage, streamText, stepCountIs } from \"ai\";\nimport fs from \"node:fs\";\nimport path from \"node:path\";\nimport {\n getSessionByIdAndUser,\n getMessagesBySession,\n getMaxSortOrder,\n saveMessage,\n truncateMessagesAfter,\n deleteMessage,\n getMessageById,\n updateMessageContent,\n updateMessageParts,\n touchSession,\n countAssistantMessages,\n updateSession,\n} from \"#server/service/agent/session\";\nimport { getAgentToolsForChatByAgentId, getAgentToolsBySlugs, executeAgentTool } from \"#server/service/agent-tool\";\nimport { getMemoryContext } from \"#server/service/agent-document\";\nimport { checkRateLimit, incrementRateLimit } from \"#server/service/agent/rate-limit\";\nimport { resolveModelForUser, resolveModelAny, toLanguageModel } from \"#server/service/llm/model-resolver\";\nimport { generateSessionTitle } from \"./title\";\nimport type { AgentRow } from \"./agent\";\nimport type { AgentSessionRow, ContentPart } from \"./types\";\nimport type { StoredPart } from \"#server/service/agent/stored-part\";\nimport { extractTextFromParts, normalizeToParts } from \"./types\";\nimport { createStreamBuffer, appendChunk, markBufferDone, removeStreamBuffer } from \"#server/service/agent/stream-buffer\";\nimport { registerAbortController, unregisterAbortController } from \"#server/service/agent/abort-manager\";\nimport log4js from \"logger\";\n\nconst logger = log4js.getLogger(\"APP\");\n\nexport interface ChatEngineParams {\n agent: AgentRow;\n session: AgentSessionRow;\n user: { id: number; role: string | null } | null;\n tempToken: string | null;\n body: {\n parts?: ContentPart[];\n content?: string;\n editMessageId?: string;\n regenerate?: boolean;\n continueAfterApproval?: boolean;\n approvalToolCallId?: string;\n approved?: boolean;\n approvalReason?: string;\n enableThinking?: boolean;\n enableTools?: boolean;\n };\n ip: string;\n preferredModelId?: number | null;\n globalDefaultModelId?: number | null;\n reviewApprovalMode?: string;\n requestId?: string;\n registerAbort: (sessionId: string, controller: AbortController) => void;\n unregisterAbort: (sessionId: string) => void;\n setRateLimitHeaders?: (headers: Record) => void;\n onClientClose?: (cb: () => void) => void;\n}\n\nexport interface ChatEngineResult {\n response: Response;\n userMessageId: string | null;\n}\n\nfunction buildModelMessages(\n historyMessages: { id: string; role: string; content: string; parts: string | null }[],\n opts: {\n skipMessageId?: string;\n currentUserParts?: ContentPart[];\n approvalToolResults?: Record;\n },\n): ModelMessage[] {\n const messages: ModelMessage[] = [];\n\n for (const m of historyMessages) {\n if (opts.skipMessageId && m.id === opts.skipMessageId) continue;\n\n if (m.role === \"assistant\" && m.parts) {\n let parts: StoredPart[];\n try {\n parts = JSON.parse(m.parts);\n } catch {\n parts = [];\n }\n\n const assistantContent: Array> = [];\n\n if (m.content) {\n assistantContent.push({ type: \"text\", text: m.content });\n }\n\n for (const p of parts) {\n if (p.type === \"tool-call\" && p.toolCallId && p.toolName) {\n if (p.state === \"approval-requested\" && p.approvalId) {\n assistantContent.push({\n type: \"tool-approval-request\",\n approvalId: p.approvalId,\n toolCallId: p.toolCallId,\n });\n } else if (p.state === \"approval-responded\" && p.approvalId) {\n const hasResult = opts.approvalToolResults?.[p.toolCallId] !== undefined;\n if (p.approved === true && hasResult) {\n assistantContent.push({\n type: \"tool-call\",\n toolCallId: p.toolCallId,\n toolName: p.toolName,\n input: p.args ?? {},\n });\n } else {\n assistantContent.push({\n type: \"tool-call\",\n toolCallId: p.toolCallId,\n toolName: p.toolName,\n input: p.args ?? {},\n });\n assistantContent.push({\n type: \"tool-approval-request\",\n approvalId: p.approvalId,\n toolCallId: p.toolCallId,\n });\n }\n } else {\n const toolCallPart: Record = {\n type: \"tool-call\",\n toolCallId: p.toolCallId,\n toolName: p.toolName,\n input: p.args ?? {},\n };\n if (p.state === \"result\" && p.result !== undefined) {\n toolCallPart.output = p.result;\n }\n assistantContent.push(toolCallPart);\n }\n } else if (p.type === \"reasoning\" && p.text) {\n assistantContent.push({ type: \"reasoning\", text: p.text });\n } else if (p.type === \"text\" && p.text && !m.content) {\n assistantContent.push({ type: \"text\", text: p.text });\n }\n }\n\n if (assistantContent.length > 0) {\n messages.push({ role: \"assistant\", content: assistantContent } as ModelMessage);\n }\n\n const toolResults: Array> = [];\n const approvalResponses: Array> = [];\n for (const p of parts) {\n if (p.type === \"tool-call\" && p.toolCallId && p.toolName && p.state === \"result\" && p.result !== undefined) {\n toolResults.push({\n type: \"tool-result\",\n toolCallId: p.toolCallId,\n toolName: p.toolName,\n output: { type: \"json\" as const, value: p.result as unknown },\n });\n }\n if (p.type === \"tool-call\" && p.state === \"approval-responded\" && p.approvalId) {\n const tcId = p.toolCallId!;\n const hasResult = opts.approvalToolResults?.[tcId] !== undefined;\n if (p.approved === true && hasResult) {\n toolResults.push({\n type: \"tool-result\",\n toolCallId: tcId,\n toolName: p.toolName!,\n output: { type: \"json\" as const, value: opts.approvalToolResults![tcId] as unknown },\n });\n } else {\n approvalResponses.push({\n type: \"tool-approval-response\",\n approvalId: p.approvalId,\n approved: p.approved ?? false,\n reason: p.approvalReason,\n });\n }\n }\n }\n\n if (toolResults.length > 0 || approvalResponses.length > 0) {\n messages.push({ role: \"tool\", content: [...toolResults, ...approvalResponses] } as ModelMessage);\n }\n } else if (m.role === \"user\") {\n const userContent = parseUserMessageContent(m.content, m.parts);\n if (userContent) {\n messages.push({ role: \"user\", content: userContent } as ModelMessage);\n }\n }\n }\n\n if (opts.currentUserParts !== undefined && opts.currentUserParts.length > 0) {\n const userContent = partsToModelContent(opts.currentUserParts);\n if (userContent) {\n messages.push({ role: \"user\", content: userContent } as ModelMessage);\n }\n }\n\n return messages;\n}\n\nfunction parseUserMessageContent(content: string, partsJson: string | null): string | Array> | undefined {\n if (partsJson) {\n try {\n const parsed: unknown = JSON.parse(partsJson);\n if (Array.isArray(parsed)) {\n const hasImage = parsed.some((p: any) => p && typeof p === \"object\" && p.type === \"image\");\n if (hasImage) {\n return partsToModelContent(parsed as ContentPart[]);\n }\n }\n } catch {\n // fall through to text-only\n }\n }\n return content || undefined;\n}\n\nfunction resolveImageToDataContent(url: string): { data: string; mediaType: string } | null {\n if (/^https?:\\/\\//i.test(url) || /^data:/i.test(url)) {\n return null;\n }\n const filePath = url.replace(/^\\/+/, \"\");\n const absPath = path.resolve(process.cwd(), filePath);\n if (!fs.existsSync(absPath)) return null;\n const buffer = fs.readFileSync(absPath);\n const ext = path.extname(absPath).toLowerCase();\n const mimeMap: Record = {\n \".png\": \"image/png\",\n \".jpg\": \"image/jpeg\",\n \".jpeg\": \"image/jpeg\",\n \".webp\": \"image/webp\",\n \".svg\": \"image/svg+xml\",\n \".ico\": \"image/x-icon\",\n };\n const mediaType = mimeMap[ext] || \"application/octet-stream\";\n return { data: buffer.toString(\"base64\"), mediaType };\n}\n\nfunction partsToModelContent(parts: ContentPart[]): string | Array> | undefined {\n if (parts.length === 0) return undefined;\n const hasImage = parts.some((p) => p.type === \"image\");\n if (!hasImage) {\n const text = extractTextFromParts(parts);\n return text || undefined;\n }\n const contentArr: Array> = [];\n for (const p of parts) {\n if (p.type === \"text\" && p.text) {\n contentArr.push({ type: \"text\", text: p.text });\n } else if (p.type === \"image\" && p.image) {\n const local = resolveImageToDataContent(p.image);\n if (local) {\n contentArr.push({\n type: \"file\",\n data: local.data,\n mediaType: p.mimeType || local.mediaType,\n });\n } else if (/^https?:\\/\\//i.test(p.image)) {\n contentArr.push({\n type: \"file\",\n data: new URL(p.image),\n mediaType: p.mimeType || \"image/jpeg\",\n });\n }\n }\n }\n return contentArr.length > 0 ? contentArr : undefined;\n}\n\nexport async function executeChat(params: ChatEngineParams): Promise {\n const { agent, session, user, body, ip, requestId = \"-\" } = params;\n const sessionId = session.id;\n const {\n parts: bodyParts,\n content: bodyContent,\n editMessageId,\n regenerate,\n continueAfterApproval,\n approvalToolCallId,\n approved,\n approvalReason,\n enableThinking: bodyEnableThinking,\n enableTools: bodyEnableTools,\n } = body;\n\n const isApprovalContinue = continueAfterApproval === true && approvalToolCallId;\n\n const inputParts: ContentPart[] = bodyParts ?? normalizeToParts(bodyContent);\n const textContent = extractTextFromParts(inputParts);\n const hasImages = inputParts.some((p) => p.type === \"image\");\n const partsJson = hasImages ? JSON.stringify(inputParts) : null;\n\n if (!user) {\n const rateLimit = checkRateLimit(agent.slug, sessionId, ip);\n if (rateLimit.blocked) {\n params.setRateLimitHeaders?.({\n \"X-RateLimit-Session-Remaining\": String(rateLimit.sessionRemaining),\n \"X-RateLimit-Ip-Remaining\": String(rateLimit.ipRemaining),\n });\n throw createError({\n statusCode: 429,\n statusMessage:\n rateLimit.sessionRemaining === 0 ? \"当前会话已达回复上限，请登录后继续\" : \"今日回复次数已达上限，请登录或明日再试\",\n });\n }\n params.setRateLimitHeaders?.({\n \"X-RateLimit-Session-Remaining\": String(rateLimit.sessionRemaining),\n \"X-RateLimit-Ip-Remaining\": String(rateLimit.ipRemaining),\n });\n }\n\n let resolvedModel;\n if (user) {\n const targetModelId = session.modelId ?? params.preferredModelId ?? agent.defaultModelId ?? params.globalDefaultModelId;\n if (!targetModelId) {\n throw createError({ statusCode: 400, statusMessage: \"未配置模型，请先在设置中选择模型\" });\n }\n resolvedModel = await resolveModelForUser(targetModelId, user.id);\n } else {\n const targetModelId = session.modelId ?? agent.defaultModelId ?? params.globalDefaultModelId;\n if (!targetModelId) {\n throw createError({ statusCode: 400, statusMessage: \"系统未配置默认模型\" });\n }\n resolvedModel = await resolveModelAny(targetModelId);\n }\n\n if (!resolvedModel) {\n throw createError({ statusCode: 404, statusMessage: \"模型不存在或无权访问\" });\n }\n\n if (!resolvedModel.provider.apiKey) {\n throw createError({ statusCode: 400, statusMessage: \"供应商未配置 API Key\" });\n }\n\n const languageModel: LanguageModel = toLanguageModel(resolvedModel);\n\n const baseSystemPrompt = session.systemPrompt?.trim() || agent.systemPrompt || undefined;\n\n let systemPrompt = baseSystemPrompt;\n if (user) {\n const memoryContext = await getMemoryContext(user.id, agent.id);\n if (memoryContext) {\n const memoryInstruction =\n \"\\n\\n# 持久记忆（已注入上下文）\\n以下 标签内的信息是你的持久记忆，每次对话开始时自动加载，始终是最新的。\\n**禁止调用 document 工具的 read 或 list 操作来读取这些记忆** — 它们已经在你的上下文中了。\\n直接使用 中的内容回答用户问题即可。\\n只有需要创建新记忆或修改已有记忆时，才使用 document 工具。\";\n systemPrompt = systemPrompt\n ? `${systemPrompt}${memoryInstruction}\\n${memoryContext}`\n : `${memoryInstruction}\\n${memoryContext}`;\n }\n }\n\n const sessionEnableTools = session.enableTools !== null ? session.enableTools === 1 : agent.enableTools === 1;\n const toolsEnabled = bodyEnableTools !== undefined ? bodyEnableTools : sessionEnableTools;\n\n const { tools } = await getAgentToolsForChatByAgentId({\n agentId: agent.id,\n userId: user?.id ?? null,\n userRole: (user?.role as any) ?? null,\n enableTools: toolsEnabled,\n recursionDepth: 0,\n });\n\n let historyMessages = await getMessagesBySession(sessionId, { limit: 100, latest: true });\n\n let userMessage;\n let shouldGenerateTitle = false;\n\n if (isApprovalContinue) {\n userMessage = historyMessages.filter((m) => m.role === \"user\").pop() ?? historyMessages[0];\n const assistantCount = await countAssistantMessages(sessionId);\n if (assistantCount <= 1) {\n shouldGenerateTitle = true;\n }\n } else if (editMessageId) {\n const editMsg = await getMessageById(editMessageId);\n if (!editMsg || editMsg.sessionId !== sessionId) {\n throw createError({ statusCode: 400, statusMessage: \"编辑的消息不存在\" });\n }\n await truncateMessagesAfter(sessionId, editMsg.sortOrder);\n await updateMessageContent(editMessageId, textContent.trim());\n if (partsJson) {\n await updateMessageParts(editMessageId, partsJson);\n }\n historyMessages = await getMessagesBySession(sessionId, { limit: 100, latest: true });\n userMessage = editMsg;\n } else if (regenerate) {\n const lastAssistant = historyMessages.filter((m) => m.role === \"assistant\").pop();\n if (lastAssistant) {\n await deleteMessage(lastAssistant.id);\n historyMessages = await getMessagesBySession(sessionId, { limit: 100, latest: true });\n }\n const lastUser = historyMessages.filter((m) => m.role === \"user\").pop();\n if (lastUser) {\n await updateMessageContent(lastUser.id, textContent.trim());\n if (partsJson) {\n await updateMessageParts(lastUser.id, partsJson);\n }\n userMessage = lastUser;\n } else {\n const sortOrder = (await getMaxSortOrder(sessionId)) + 1;\n userMessage = await saveMessage({\n sessionId,\n role: \"user\",\n content: textContent.trim(),\n parts: partsJson,\n sortOrder,\n });\n shouldGenerateTitle = true;\n }\n } else {\n const sortOrder = (await getMaxSortOrder(sessionId)) + 1;\n userMessage = await saveMessage({\n sessionId,\n role: \"user\",\n content: textContent.trim(),\n parts: partsJson,\n sortOrder,\n });\n const assistantCount = await countAssistantMessages(sessionId);\n if (assistantCount === 0) {\n shouldGenerateTitle = true;\n }\n }\n\n const approvalToolResults: Record = {};\n if (isApprovalContinue) {\n const pendingSlugs = new Set();\n for (const m of historyMessages) {\n if (!m.parts) continue;\n let parts: StoredPart[];\n try {\n parts = JSON.parse(m.parts);\n } catch {\n continue;\n }\n for (const p of parts) {\n if (p.type !== \"tool-call\" || !p.toolCallId || !p.toolName) continue;\n if (p.state !== \"approval-responded\" || p.approved !== true) continue;\n if (approvalToolResults[p.toolCallId] !== undefined) continue;\n pendingSlugs.add(p.toolName);\n }\n }\n const toolMap = await getAgentToolsBySlugs([...pendingSlugs]);\n\n for (const m of historyMessages) {\n if (!m.parts) continue;\n let parts: StoredPart[];\n try {\n parts = JSON.parse(m.parts);\n } catch {\n continue;\n }\n for (const p of parts) {\n if (p.type !== \"tool-call\" || !p.toolCallId || !p.toolName) continue;\n if (p.state !== \"approval-responded\" || p.approved !== true) continue;\n if (approvalToolResults[p.toolCallId] !== undefined) continue;\n const agentTool = toolMap.get(p.toolName);\n if (!agentTool) {\n approvalToolResults[p.toolCallId] = { error: `Tool ${p.toolName} not found` };\n continue;\n }\n try {\n const result = await executeAgentTool(agentTool.id, p.args, user?.id ?? null, p.approved, agent.id);\n approvalToolResults[p.toolCallId] = result;\n logger.info(\"[%s] [APPROVAL-EXEC] tool=%s result=%s\", requestId, p.toolName, JSON.stringify(result).slice(0, 200));\n } catch (err) {\n approvalToolResults[p.toolCallId] = { error: err instanceof Error ? err.message : String(err) };\n logger.error(\"[%s] [APPROVAL-EXEC] tool=%s error=%s\", requestId, p.toolName, approvalToolResults[p.toolCallId]);\n }\n }\n }\n }\n\n const modelMessages = buildModelMessages(historyMessages, {\n skipMessageId: isApprovalContinue ? undefined : userMessage?.id,\n currentUserParts: isApprovalContinue ? undefined : inputParts,\n approvalToolResults,\n });\n\n const sessionEnableThinking =\n session.enableThinking !== null ? session.enableThinking === 1 : agent.enableThinking === 1;\n const thinkingEnabled = bodyEnableThinking !== undefined ? bodyEnableThinking : sessionEnableThinking;\n\n const maxSteps = agent.maxStepCount ?? 8;\n\n logger.info(\n \"[%s] [CHAT-ENGINE] agent=%s userId=%s sessionId=%s thinking=%s tools=%d maxSteps=%d edit=%s regen=%s approval=%s\",\n requestId,\n agent.slug,\n user?.id ?? \"temp\",\n sessionId,\n thinkingEnabled ? \"on\" : \"off\",\n Object.keys(tools).length,\n maxSteps,\n editMessageId ? \"yes\" : \"no\",\n regenerate ? \"yes\" : \"no\",\n isApprovalContinue ? \"yes\" : \"no\",\n );\n\n const streamBuffer = createStreamBuffer(sessionId, {\n modelId: resolvedModel.dbId,\n userMessageId: userMessage?.id ?? null,\n });\n\n const serverAbortController = new AbortController();\n params.registerAbort(sessionId, serverAbortController);\n\n let streamedText = \"\";\n let streamedReasoning = \"\";\n let streamedToolCalls: Array> = [];\n let chunkPartId = 0;\n let streamedParts: Array> = [];\n let activeTextPartIdx = -1;\n let activeReasoningPartIdx = -1;\n\n params.onClientClose?.(() => {\n if (!serverAbortController.signal.aborted) {\n logger.info(\"[%s] [CHAT-ENGINE] client disconnected, aborting streamText\", requestId);\n serverAbortController.abort();\n }\n });\n\n let approvalPrefixChunk: Uint8Array | null = null;\n if (isApprovalContinue && Object.keys(approvalToolResults).length > 0) {\n const prefixChunks = Object.entries(approvalToolResults).map(\n ([toolCallId, output]) =>\n `data: ${JSON.stringify({\n type: \"tool-output-available\",\n toolCallId,\n output,\n })}\\n\\n`,\n );\n approvalPrefixChunk = new TextEncoder().encode(prefixChunks.join(\"\"));\n appendChunk(sessionId, approvalPrefixChunk);\n logger.info(\"[%s] [APPROVAL-PREFIX] written %d bytes to buffer before stream start\", requestId, approvalPrefixChunk.length);\n }\n\n const toolApproval = params.reviewApprovalMode === \"all-pass\"\n ? () => \"approved\" as const\n : undefined;\n\n const result = streamText({\n model: languageModel,\n system: systemPrompt,\n messages: modelMessages,\n abortSignal: serverAbortController.signal,\n ...(Object.keys(tools).length > 0\n ? {\n tools,\n stopWhen: stepCountIs(maxSteps),\n ...(toolApproval ? { toolApproval } : {}),\n }\n : {}),\n ...(thinkingEnabled\n ? {\n providerOptions: {\n openaiCompatible: { reasoningEffort: \"high\" },\n },\n }\n : {}),\n onError: (errorData) => {\n const err = errorData?.error;\n const errMsg = err instanceof Error ? err.message : String(err ?? \"未知错误\");\n const errCause = err instanceof Error ? JSON.stringify(err.cause ?? null, null, 2) : \"\";\n logger.error(\"[%s] [CHAT-ENGINE] streamText error: %s\\ncause: %s\", requestId, errMsg, errCause);\n },\n onChunk: ({ chunk }) => {\n if (chunk.type === \"text-delta\") {\n streamedText += chunk.text;\n if (activeTextPartIdx < 0) {\n activeTextPartIdx = streamedParts.length;\n streamedParts.push({ id: `p_${chunkPartId++}`, type: \"text\", text: \"\" });\n }\n const tp = streamedParts[activeTextPartIdx] as Record;\n tp.text = ((tp.text as string) || \"\") + chunk.text;\n } else if (chunk.type === \"text-start\") {\n activeTextPartIdx = streamedParts.length;\n streamedParts.push({ id: `p_${chunkPartId++}`, type: \"text\", text: \"\" });\n } else if (chunk.type === \"text-end\") {\n activeTextPartIdx = -1;\n } else if (chunk.type === \"reasoning-delta\") {\n streamedReasoning += chunk.text;\n if (activeReasoningPartIdx < 0) {\n activeReasoningPartIdx = streamedParts.length;\n streamedParts.push({ id: `p_${chunkPartId++}`, type: \"reasoning\", text: \"\" });\n }\n const rp = streamedParts[activeReasoningPartIdx] as Record;\n rp.text = ((rp.text as string) || \"\") + chunk.text;\n } else if (chunk.type === \"reasoning-start\") {\n activeReasoningPartIdx = streamedParts.length;\n streamedParts.push({ id: `p_${chunkPartId++}`, type: \"reasoning\", text: \"\" });\n } else if (chunk.type === \"reasoning-end\") {\n activeReasoningPartIdx = -1;\n } else if (chunk.type === \"tool-input-start\") {\n streamedParts.push({\n id: `p_${chunkPartId++}`,\n type: \"tool-call\",\n toolCallId: chunk.id,\n toolName: chunk.toolName,\n args: undefined,\n state: \"preparing\",\n });\n } else if (chunk.type === \"tool-call\") {\n streamedToolCalls.push({\n id: `p_${chunkPartId++}`,\n type: \"tool-call\",\n toolCallId: chunk.toolCallId,\n toolName: chunk.toolName,\n args: chunk.input,\n state: \"call\",\n });\n const existing = streamedParts.find(\n (p) => p.type === \"tool-call\" && p.toolCallId === chunk.toolCallId,\n );\n if (existing) {\n existing.args = chunk.input;\n existing.state = \"call\";\n } else {\n streamedParts.push({\n id: `p_${chunkPartId++}`,\n type: \"tool-call\",\n toolCallId: chunk.toolCallId,\n toolName: chunk.toolName,\n args: chunk.input,\n state: \"call\",\n });\n }\n } else if (chunk.type === \"tool-result\") {\n const tcIdx = streamedToolCalls.findIndex((tc) => tc.toolCallId === chunk.toolCallId);\n const tcEntry = tcIdx >= 0 ? streamedToolCalls[tcIdx] : undefined;\n if (tcEntry) {\n tcEntry.result = chunk.output;\n tcEntry.state = \"result\";\n }\n const part = streamedParts.find(\n (p) => p.type === \"tool-call\" && p.toolCallId === chunk.toolCallId,\n );\n if (part) {\n part.result = chunk.output;\n part.state = \"result\";\n }\n }\n },\n onFinish: async ({ finishReason, usage, steps, text: assistantText }) => {\n try {\n if (serverAbortController.signal.aborted) {\n logger.info(\"[%s] [CHAT-ENGINE] onFinish skipped due to abort\", requestId);\n params.unregisterAbort(sessionId);\n return;\n }\n logger.info(\n \"[%s] [CHAT-ENGINE] finished: reason=%s steps=%d inputTokens=%d outputTokens=%d\",\n requestId,\n finishReason,\n steps.length,\n usage?.inputTokens ?? 0,\n usage?.outputTokens ?? 0,\n );\n\n const parts: Array> = [];\n let hasTextPart = false;\n for (const step of steps) {\n const toolResultMap = new Map(step.toolResults.map((tr) => [tr.toolCallId, tr.output]));\n const contentArr = step.content as Array>;\n logger.info(\n \"[%s] [CHAT-ENGINE] step %d content order: %s\",\n requestId,\n step.stepNumber,\n contentArr.map((cp) => cp.type + (cp.type === \"tool-call\" ? `(${(cp as any).toolName})` : \"\")).join(\" → \"),\n );\n const approvalToolCallIds = new Set();\n for (const cp of contentArr) {\n if (cp.type === \"tool-approval-request\" && (cp as any).approvalId && (cp as any).toolCall) {\n approvalToolCallIds.add((cp as any).toolCall.toolCallId);\n }\n }\n for (const cp of contentArr) {\n if (cp.type === \"reasoning\" && (cp as any).text) {\n parts.push({ id: `p_${parts.length}`, type: \"reasoning\", text: (cp as any).text });\n } else if (cp.type === \"text\" && (cp as any).text) {\n parts.push({ id: `p_${parts.length}`, type: \"text\", text: (cp as any).text });\n hasTextPart = true;\n } else if (cp.type === \"tool-approval-request\" && (cp as any).approvalId && (cp as any).toolCall) {\n const tc = (cp as any).toolCall;\n const toolResult = toolResultMap.get(tc.toolCallId);\n if (toolResult === undefined) {\n parts.push({\n id: `p_${parts.length}`,\n type: \"tool-call\",\n toolCallId: tc.toolCallId,\n toolName: tc.toolName,\n args: tc.input,\n state: \"approval-requested\",\n approvalId: (cp as any).approvalId,\n });\n } else {\n parts.push({\n id: `p_${parts.length}`,\n type: \"tool-call\",\n toolCallId: tc.toolCallId,\n toolName: tc.toolName,\n args: tc.input,\n result: toolResult,\n state: \"result\",\n approvalId: (cp as any).approvalId,\n });\n }\n } else if (cp.type === \"tool-call\") {\n const tc = cp as any;\n if (approvalToolCallIds.has(tc.toolCallId)) continue;\n const toolResult = toolResultMap.get(tc.toolCallId);\n parts.push({\n id: `p_${parts.length}`,\n type: \"tool-call\",\n toolCallId: tc.toolCallId,\n toolName: tc.toolName,\n args: tc.input,\n result: toolResult,\n state: \"result\",\n });\n }\n }\n }\n\n const hasToolCallPart = parts.some((p) => p.type === \"tool-call\");\n const stepLimitReached = finishReason === \"tool-calls\" && !hasTextPart && hasToolCallPart;\n let finalText = assistantText;\n if (stepLimitReached) {\n const noticeText = \"（已达到工具调用次数上限，模型未能生成最终回答。以上是工具调用的执行记录。）\";\n parts.push({ id: `p_${parts.length}`, type: \"text\", text: noticeText });\n finalText = (finalText || \"\") + noticeText;\n logger.info(\"[%s] [CHAT-ENGINE] step limit reached, appended notice part\", requestId);\n }\n\n if (isApprovalContinue) {\n const lastAssistant = historyMessages.filter((m) => m.role === \"assistant\").pop();\n if (lastAssistant) {\n let existingParts: Array> = [];\n try {\n existingParts = lastAssistant.parts ? JSON.parse(lastAssistant.parts) : [];\n } catch {\n existingParts = [];\n }\n logger.info(\"[%s] [APPROVAL-CONTINUE] merged %d existing parts with %d new parts\", requestId, existingParts.length, parts.length);\n for (const p of existingParts) {\n if (p.type === \"tool-call\" && p.state === \"approval-responded\") {\n const tcId = p.toolCallId as string | undefined;\n if (p.approved === true && tcId && approvalToolResults[tcId] !== undefined) {\n p.result = approvalToolResults[tcId];\n p.state = \"result\";\n } else if (p.approved === false) {\n p.result = \"工具执行被拒绝\";\n p.state = \"result\";\n }\n }\n }\n const newParts = parts.filter(\n (np) => np.type !== \"tool-call\" || !existingParts.some((ep) => ep.toolCallId === np.toolCallId),\n );\n const idOffset = existingParts.length;\n for (let i = 0; i < newParts.length; i++) {\n newParts[i]!.id = `p_${idOffset + i}`;\n }\n const mergedParts = [...existingParts, ...newParts];\n const mergedContent = (lastAssistant.content || \"\") + finalText;\n await updateMessageContent(lastAssistant.id, mergedContent);\n await updateMessageParts(lastAssistant.id, JSON.stringify(mergedParts));\n }\n } else {\n const assistantSortOrder = (await getMaxSortOrder(sessionId)) + 1;\n await saveMessage({\n sessionId,\n role: \"assistant\",\n content: finalText,\n parts: parts.length > 0 ? 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App pages structure\n\nLet me also look at the frontend pages for agents."}}}} +{"type":"assistant/chunk","seq":2523,"time":1786844136686,"data":{"turn":1,"step":8,"chunk":{"type":"block-end","index":1,"block":{"type":"tool-call","id":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","name":"run_code","arguments":"{\"code\": \"\\nasync function readFull(path) {\\n const r = await tools.read({ file_path: path });\\n return r.lines.map(l => l.text).join(\\\"\\\\n\\\");\\n}\\n\\nfor (const p of [\\n \\\"server/service/a2a/converter.ts\\\",\\n \\\"server/service/agent/identity.ts\\\",\\n]) {\\n console.log(`\\\\n========== ${p} ==========`);\\n console.log(await readFull(p));\\n}\\n\\n// Frontend pages tree\\nconst pages = await tools.bash({\\n command: \\\"find app/pages -type f | sort\\\",\\n description: \\\"List app pages\\\"\\n});\\nconsole.log(\\\"\\\\n=== app/pages ===\\\\n\\\" + pages.stdout.text);\\n\\nconst components = await tools.bash({\\n command: \\\"find app/components -type f | sort\\\",\\n description: \\\"List app components\\\"\\n});\\nconsole.log(\\\"\\\\n=== app/components ===\\\\n\\\" + components.stdout.text);\\n\", \"description\": \"Read a2a converter, identity, and list frontend files\"}"}}}} +{"type":"assistant/chunk","seq":2524,"time":1786844136686,"data":{"turn":1,"step":8,"chunk":{"type":"usage","usage":{"inputTokens":9817,"outputTokens":388,"cacheReadTokens":38656,"reasoningTokens":127}}}} +{"type":"assistant/chunk","seq":2525,"time":1786844136686,"data":{"turn":1,"step":8,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}} +{"type":"assistant/message","seq":2526,"time":1786844136687,"data":{"turn":1,"step":8,"message":{"role":"assistant","content":[{"type":"reasoning","text":"Now I have a very solid understanding of the chat engine. Let me understand the \"agent card\" concept via a2a converter, and the agent frontend (pages/components). Also, I should understand the existing \"agent-card\" concept and how it maps to \"角色卡\" (character card).\n\nLet me read:\n1. `server/service/a2a/converter.ts` — agentRowToCard\n2. `server/service/agent/identity.ts`\n3. `server/service/agent/session.ts` — session management\n4. App pages structure\n\nLet me also look at the frontend pages for agents."},{"type":"tool-call","id":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","name":"run_code","arguments":"{\"code\": \"\\nasync function readFull(path) {\\n const r = await tools.read({ file_path: path });\\n return r.lines.map(l => l.text).join(\\\"\\\\n\\\");\\n}\\n\\nfor (const p of [\\n \\\"server/service/a2a/converter.ts\\\",\\n \\\"server/service/agent/identity.ts\\\",\\n]) {\\n console.log(`\\\\n========== ${p} ==========`);\\n console.log(await readFull(p));\\n}\\n\\n// Frontend pages tree\\nconst pages = await tools.bash({\\n command: \\\"find app/pages -type f | sort\\\",\\n description: \\\"List app pages\\\"\\n});\\nconsole.log(\\\"\\\\n=== app/pages ===\\\\n\\\" + pages.stdout.text);\\n\\nconst components = await tools.bash({\\n command: \\\"find app/components -type f | sort\\\",\\n description: \\\"List app components\\\"\\n});\\nconsole.log(\\\"\\\\n=== app/components ===\\\\n\\\" + components.stdout.text);\\n\", \"description\": \"Read a2a converter, identity, and list frontend files\"}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-pro"},"id":"689849d1-5e8f-43c7-89c6-52480b021ea0"},"usage":{"inputTokens":9817,"outputTokens":388,"cacheReadTokens":38656,"reasoningTokens":127}},"sourceEventSeqs":[2173,2174,2175,2176,2177,2178,2179,2180,2181,2182,2183,2184,2185,2186,2187,2188,2189,2190,2191,2192,2193,2194,2195,2196,2197,2198,2199,2200,2201,2202,2203,2204,2205,2206,2207,2208,2209,2210,2211,2212,2213,2214,2215,2216,2217,2218,2219,2220,2221,2222,2223,2224,2225,2226,2227,2228,2229,2230,2231,2232,2233,2234,2235,2236,2237,2238,2239,2240,2241,2242,2243,2244,2245,2246,2247,2248,2249,2250,2251,2252,2253,2254,2255,2256,2257,2258,2259,2260,2261,2262,2263,2264,2265,2266,2267,2268,2269,2270,2271,2272,2273,2274,2275,2276,2277,2278,2279,2280,2281,2282,2283,2284,2285,2286,2287,2288,2289,2290,2291,2292,2293,2294,2295,2296,2297,2298,2299,2300,2301,2302,2303,2304,2305,2306,2307,2308,2309,2310,2311,2312,2313,2314,2315,2316,2317,2318,2319,2320,2321,2322,2323,2324,2325,2326,2327,2328,2329,2330,2331,2332,2333,2334,2335,2336,2337,2338,2339,2340,2341,2342,2343,2344,2345,2346,2347,2348,2349,2350,2351,2352,2353,2354,2355,2356,2357,2358,2359,2360,2361,2362,2363,2364,2365,2366,2367,2368,2369,2370,2371,2372,2373,2374,2375,2376,2377,2378,2379,2380,2381,2382,2383,2384,2385,2386,2387,2388,2389,2390,2391,2392,2393,2394,2395,2396,2397,2398,2399,2400,2401,2402,2403,2404,2405,2406,2407,2408,2409,2410,2411,2412,2413,2414,2415,2416,2417,2418,2419,2420,2421,2422,2423,2424,2425,2426,2427,2428,2429,2430,2431,2432,2433,2434,2435,2436,2437,2438,2439,2440,2441,2442,2443,2444,2445,2446,2447,2448,2449,2450,2451,2452,2453,2454,2455,2456,2457,2458,2459,2460,2461,2462,2463,2464,2465,2466,2467,2468,2469,2470,2471,2472,2473,2474,2475,2476,2477,2478,2479,2480,2481,2482,2483,2484,2485,2486,2487,2488,2489,2490,2491,2492,2493,2494,2495,2496,2497,2498,2499,2500,2501,2502,2503,2504,2505,2506,2507,2508,2509,2510,2511,2512,2513,2514,2515,2516,2517,2518,2519,2520,2521,2522,2523,2524,2525],"surfaceOp":"append"} +{"type":"tool/call","seq":2527,"time":1786844136687,"data":{"turn":1,"step":8,"callId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","name":"run_code","arguments":"{\"code\": \"\\nasync function readFull(path) {\\n const r = await tools.read({ file_path: path });\\n return r.lines.map(l => l.text).join(\\\"\\\\n\\\");\\n}\\n\\nfor (const p of [\\n \\\"server/service/a2a/converter.ts\\\",\\n \\\"server/service/agent/identity.ts\\\",\\n]) {\\n console.log(`\\\\n========== ${p} ==========`);\\n console.log(await readFull(p));\\n}\\n\\n// Frontend pages tree\\nconst pages = await tools.bash({\\n command: \\\"find app/pages -type f | sort\\\",\\n description: \\\"List app pages\\\"\\n});\\nconsole.log(\\\"\\\\n=== app/pages ===\\\\n\\\" + pages.stdout.text);\\n\\nconst components = await tools.bash({\\n command: \\\"find app/components -type f | sort\\\",\\n description: \\\"List app components\\\"\\n});\\nconsole.log(\\\"\\\\n=== app/components ===\\\\n\\\" + components.stdout.text);\\n\", \"description\": \"Read a2a converter, identity, and list frontend files\"}"}} +{"type":"tool/code-dispatch-start","seq":2528,"time":1786844136715,"data":{"rootCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","parentCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","subCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568:code:1","name":"read","arguments":{"file_path":"server/service/a2a/converter.ts"}}} +{"type":"tool/code-dispatch","seq":2529,"time":1786844136718,"data":{"rootCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","parentCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","subCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568:code:1","name":"read","arguments":{"file_path":"server/service/a2a/converter.ts"},"isError":false,"content":[{"type":"text","text":"/home/dash/code/nuxt-app/server/service/a2a/converter.ts\nfile\n\n1: /**\n2: * A2A 消息格式转换层\n3: *\n4: * 负责 A2A 协议类型与内部业务类型之间的双向转换：\n5: * - Agent 数据行 ↔ Agent Card\n6: * - A2A Message ↔ 纯文本输入（用于 generateText）\n7: * - 纯文本输出 ↔ A2A Message\n8: * - A2A Part ↔ StoredPart（预留，当前仅 TextPart）\n9: */\n10: \n11: import type { AgentRow } from \"../agent/types\";\n12: import type { StoredPart } from \"../agent/stored-part\";\n13: import type {\n14: A2AAgentCard,\n15: A2ASkill,\n16: A2AMessage,\n17: A2APart,\n18: A2ATextPart,\n19: A2ADataPart,\n20: A2AFilePart,\n21: } from \"./types\";\n22: import { A2A_PROTOCOL_VERSION } from \"./types\";\n23: \n24: // ============ Agent Row → Agent Card ============\n25: \n26: export function agentRowToCard(agent: AgentRow, baseUrl: string): A2AAgentCard {\n27: const url = `${baseUrl}/api/agents/${agent.slug}/a2a`;\n28: \n29: const skills: A2ASkill[] = [\n30: {\n31: id: agent.slug,\n32: name: agent.name,\n33: description: agent.description ?? agent.systemPrompt.slice(0, 200),\n34: tags: agent.isCallable ? [\"callable\", \"agent\"] : [\"agent\"],\n35: inputModes: [\"text/plain\"],\n36: outputModes: [\"text/plain\"],\n37: },\n38: ];\n39: \n40: return {\n41: name: agent.name,\n42: description: agent.description ?? \"\",\n43: url,\n44: version: \"1.0.0\",\n45: protocolVersion: A2A_PROTOCOL_VERSION,\n46: capabilities: {\n47: streaming: true,\n48: pushNotifications: false,\n49: stateTransition: true,\n50: },\n51: defaultInputModes: [\"text/plain\"],\n52: defaultOutputModes: [\"text/plain\"],\n53: skills,\n54: };\n55: }\n56: \n57: // ============ A2A Message ↔ 纯文本 ============\n58: \n59: export function a2aMessageToText(message: A2AMessage): string {\n60: const textParts = message.parts.filter((p): p is A2ATextPart => p.type === \"text\");\n61: if (textParts.length === 0) return \"\";\n62: return textParts.map((p) => p.text).join(\"\\n\");\n63: }\n64: \n65: export function textToA2AMessage(text: string, role: \"user\" | \"agent\" = \"agent\"): A2AMessage {\n66: return {\n67: role,\n68: parts: [{ type: \"text\", text }],\n69: };\n70: }\n71: \n72: // ============ A2A Part ↔ StoredPart（预留） ============\n73: \n74: export function a2aPartsToStoredParts(parts: A2APart[]): StoredPart[] {\n75: return parts\n76: .filter((p): p is A2ATextPart => p.type === \"text\")\n77: .map((p, i) => ({\n78: id: `a2a-part-${i}`,\n79: type: \"text\",\n80: text: p.text,\n81: }));\n82: }\n83: \n84: export function storedPartsToA2AParts(parts: StoredPart[]): A2APart[] {\n85: return parts\n86: .filter((p) => p.type === \"text\" && p.text !== undefined)\n87: .map((p) => ({\n88: type: \"text\" as const,\n89: text: p.text!,\n90: }));\n91: }\n92: \n93: // ============ Part 类型守卫 ============\n94: \n95: export function isTextPart(part: A2APart): part is A2ATextPart {\n96: return part.type === \"text\";\n97: }\n98: \n99: export function isDataPart(part: A2APart): part is A2ADataPart {\n100: return part.type === \"data\";\n101: }\n102: \n103: export function isFilePart(part: A2APart): part is A2AFilePart {\n104: return part.type === \"file\";\n105: }\n\n(End of file - total 105 lines)\n"}]}} +{"type":"tool/code-dispatch-start","seq":2530,"time":1786844136721,"data":{"rootCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","parentCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","subCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568:code:2","name":"read","arguments":{"file_path":"server/service/agent/identity.ts"}}} +{"type":"tool/code-dispatch","seq":2531,"time":1786844136723,"data":{"rootCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","parentCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","subCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568:code:2","name":"read","arguments":{"file_path":"server/service/agent/identity.ts"},"isError":false,"content":[{"type":"text","text":"/home/dash/code/nuxt-app/server/service/agent/identity.ts\nfile\n\n1: import type { H3Event } from \"h3\";\n2: import { getCurrentUser } from \"#server/utils/context\";\n3: import { getTempTokenFromCookie } from \"./temp-token\";\n4: import type { AgentIdentity } from \"./types\";\n5: \n6: export async function resolveAgentIdentity(event: H3Event): Promise {\n7: const user = await getCurrentUser(event);\n8: if (user) {\n9: return { userId: user.id, tempToken: null };\n10: }\n11: const tempToken = getTempTokenFromCookie(event);\n12: return { userId: null, tempToken };\n13: }\n\n(End of file - total 13 lines)\n"}]}} +{"type":"tool/code-dispatch-start","seq":2532,"time":1786844136723,"data":{"rootCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","parentCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","subCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568:code:3","name":"bash","arguments":{"command":"find app/pages -type f | sort","description":"List app pages"}}} +{"type":"tool/code-dispatch","seq":2533,"time":1786844136743,"data":{"rootCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","parentCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","subCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568:code:3","name":"bash","arguments":{"command":"find app/pages -type f | sort","description":"List app pages"},"isError":false,"content":[{"type":"text","text":"app/pages/admin.vue\napp/pages/admin/agent-config.vue\napp/pages/admin/agent-tools/index.vue\napp/pages/admin/agents/[slug].vue\napp/pages/admin/agents/index.vue\napp/pages/admin/dashboard.vue\napp/pages/admin/global-config/index.vue\napp/pages/admin/profile/index.vue\napp/pages/admin/scheduler/[id]/index.vue\napp/pages/admin/scheduler/index.vue\napp/pages/admin/users/index.vue\napp/pages/agent-documents/[id].vue\napp/pages/agent-documents/index.vue\napp/pages/articles/[id].vue\napp/pages/articles/index.vue\napp/pages/auth/login.vue\napp/pages/auth/register.vue\napp/pages/chat/[agentSlug]/index.vue\napp/pages/collect/index copy.vue\napp/pages/collect/index.vue\napp/pages/ideas/index copy.vue\napp/pages/ideas/index.vue\napp/pages/index.vue\napp/pages/projects/index.vue\napp/pages/settings.vue\napp/pages/settings/llm-config/index.vue\napp/pages/settings/llm-test/index.vue\napp/pages/settings/preferences.vue\napp/pages/test/index.vue\n"}]}} +{"type":"tool/code-dispatch-start","seq":2534,"time":1786844136744,"data":{"rootCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","parentCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","subCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568:code:4","name":"bash","arguments":{"command":"find app/components -type f | sort","description":"List app components"}}} +{"type":"tool/code-dispatch","seq":2535,"time":1786844136764,"data":{"rootCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","parentCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","subCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568:code:4","name":"bash","arguments":{"command":"find app/components -type f | sort","description":"List app components"},"isError":false,"content":[{"type":"text","text":"app/components/AgentToolExecuteModal.vue\napp/components/AgentToolFormModal.vue\napp/components/CardPicker.vue\napp/components/SchedulerTaskModal.vue\napp/components/TopNav.vue\napp/components/admin/AdminSidebarNav.vue\napp/components/agent/AgentChatArea.vue\napp/components/agent/AgentDocumentDrawer.vue\napp/components/agent/AgentFeedbackButtons.vue\napp/components/agent/AgentInput.vue\napp/components/agent/AgentMarkdown.vue\napp/components/agent/AgentMessageItem.vue\napp/components/agent/AgentMessageList.vue\napp/components/agent/AgentMessageParts.vue\napp/components/agent/AgentModelSelector.vue\napp/components/agent/AgentReasoningBlock.vue\napp/components/agent/AgentSidebar.vue\napp/components/agent/AgentSidebarItem.vue\napp/components/agent/AgentSwitcher.vue\napp/components/agent/AgentSystemPromptModal.vue\napp/components/agent/AgentToolCallBlock.vue\napp/components/agent/AgentToolResultBlock.vue\napp/components/agent/AgentToolbar.vue\napp/components/agent/AgentWelcome.vue\napp/components/chat/ChatBubble.vue\napp/components/chat/ChatRoom.vue\napp/components/chat/ChatWidget.vue\napp/components/index/CardDetailModal.vue\napp/components/index/CardFormModal.vue\napp/components/index/CategoryFormModal.vue\napp/components/index/CategoryTreeNode.vue\napp/components/index/ContextMenu.vue\napp/components/index/IdeaCard.vue\napp/components/index/LeftSidebar.vue\napp/components/index/WaterfallCard.vue\napp/components/index/WaterfallImageCard.vue\napp/components/index/WaterfallPortfolioCard.vue\napp/components/index/WaterfallProjectCard.vue\napp/components/index/WaterfallTextCard.vue\n"}]}} +{"type":"tool/result","seq":2536,"time":1786844136769,"data":{"turn":1,"step":8,"message":{"source":{"kind":"tool","callId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568"},"content":[{"type":"tool-result","toolCallId":"call_00_3lVzXUPJ4mM0vQ0ij5r82568","content":[{"type":"text","text":"\n========== server/service/a2a/converter.ts ==========\n/**\n * A2A 消息格式转换层\n *\n * 负责 A2A 协议类型与内部业务类型之间的双向转换：\n * - Agent 数据行 ↔ Agent Card\n * - A2A Message ↔ 纯文本输入（用于 generateText）\n * - 纯文本输出 ↔ A2A Message\n * - A2A Part ↔ StoredPart（预留，当前仅 TextPart）\n */\n\nimport type { AgentRow } from \"../agent/types\";\nimport type { StoredPart } from \"../agent/stored-part\";\nimport type {\n A2AAgentCard,\n A2ASkill,\n A2AMessage,\n A2APart,\n A2ATextPart,\n A2ADataPart,\n A2AFilePart,\n} from \"./types\";\nimport { A2A_PROTOCOL_VERSION } from \"./types\";\n\n// ============ Agent Row → Agent Card ============\n\nexport function agentRowToCard(agent: AgentRow, baseUrl: string): A2AAgentCard {\n const url = `${baseUrl}/api/agents/${agent.slug}/a2a`;\n\n const skills: A2ASkill[] = [\n {\n id: agent.slug,\n name: agent.name,\n description: agent.description ?? agent.systemPrompt.slice(0, 200),\n tags: agent.isCallable ? [\"callable\", \"agent\"] : [\"agent\"],\n inputModes: [\"text/plain\"],\n outputModes: [\"text/plain\"],\n },\n ];\n\n return {\n name: agent.name,\n description: agent.description ?? \"\",\n url,\n version: \"1.0.0\",\n protocolVersion: A2A_PROTOCOL_VERSION,\n capabilities: {\n streaming: true,\n pushNotifications: false,\n stateTransition: true,\n },\n defaultInputModes: [\"text/plain\"],\n defaultOutputModes: [\"text/plain\"],\n skills,\n };\n}\n\n// ============ A2A Message ↔ 纯文本 ============\n\nexport function a2aMessageToText(message: A2AMessage): string {\n const textParts = message.parts.filter((p): p is A2ATextPart => p.type === \"text\");\n if (textParts.length === 0) return \"\";\n return textParts.map((p) => p.text).join(\"\\n\");\n}\n\nexport function textToA2AMessage(text: string, role: \"user\" | \"agent\" = \"agent\"): A2AMessage {\n return {\n role,\n parts: [{ type: \"text\", text }],\n };\n}\n\n// ============ A2A Part ↔ StoredPart（预留） ============\n\nexport function a2aPartsToStoredParts(parts: A2APart[]): StoredPart[] {\n return parts\n .filter((p): p is A2ATextPart => p.type === \"text\")\n .map((p, i) => ({\n id: `a2a-part-${i}`,\n type: \"text\",\n text: p.text,\n }));\n}\n\nexport function storedPartsToA2AParts(parts: StoredPart[]): A2APart[] {\n return parts\n .filter((p) => p.type === \"text\" && p.text !== undefined)\n .map((p) => ({\n type: \"text\" as const,\n text: p.text!,\n }));\n}\n\n// ============ Part 类型守卫 ============\n\nexport function isTextPart(part: A2APart): part is A2ATextPart {\n return part.type === \"text\";\n}\n\nexport function isDataPart(part: A2APart): part is A2ADataPart {\n return part.type === \"data\";\n}\n\nexport function isFilePart(part: A2APart): part is A2AFilePart {\n return part.type === \"file\";\n}\n\n========== server/service/agent/identity.ts ==========\nimport type { H3Event } from \"h3\";\nimport { getCurrentUser } from \"#server/utils/context\";\nimport { getTempTokenFromCookie } from \"./temp-token\";\nimport type { AgentIdentity } from \"./types\";\n\nexport async function resolveAgentIdentity(event: H3Event): Promise {\n const user = await getCurrentUser(event);\n if (user) {\n return { userId: user.id, tempToken: null };\n }\n const tempToken = getTempTokenFromCookie(event);\n return { userId: null, tempToken };\n}\n\n=== app/pages ===\napp/pages/admin.vue\napp/pages/admin/agent-config.vue\napp/pages/admin/agent-tools/index.vue\napp/pages/admin/agents/[slug].vue\napp/pages/admin/agents/index.vue\napp/pages/admin/dashboard.vue\napp/pages/admin/global-config/index.vue\napp/pages/admin/profile/index.vue\napp/pages/admin/scheduler/[id]/index.vue\napp/pages/admin/scheduler/index.vue\napp/pages/admin/users/index.vue\napp/pages/agent-documents/[id].vue\napp/pages/agent-documents/index.vue\napp/pages/articles/[id].vue\napp/pages/articles/index.vue\napp/pages/auth/login.vue\napp/pages/auth/register.vue\napp/pages/chat/[agentSlug]/index.vue\napp/pages/collect/index copy.vue\napp/pages/collect/index.vue\napp/pages/ideas/index copy.vue\napp/pages/ideas/index.vue\napp/pages/index.vue\napp/pages/projects/index.vue\napp/pages/settings.vue\napp/pages/settings/llm-config/index.vue\napp/pages/settings/llm-test/index.vue\napp/pages/settings/preferences.vue\napp/pages/test/index.vue\n\n\n=== app/components 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sans-serif\"\n78: fontSize: 16px\n79: fontWeight: 400\n80: lineHeight: 1.55\n81: letterSpacing: 0\n82: body-sm:\n83: fontFamily: \"StyreneB, Inter, sans-serif\"\n84: fontSize: 14px\n85: fontWeight: 400\n86: lineHeight: 1.55\n87: letterSpacing: 0\n88: caption:\n89: fontFamily: \"StyreneB, Inter, sans-serif\"\n90: fontSize: 13px\n91: fontWeight: 500\n92: lineHeight: 1.4\n93: letterSpacing: 0\n94: caption-uppercase:\n95: fontFamily: \"StyreneB, Inter, sans-serif\"\n96: fontSize: 12px\n97: fontWeight: 500\n98: lineHeight: 1.4\n99: letterSpacing: 1.5px\n100: code:\n101: fontFamily: \"JetBrains Mono, ui-monospace, monospace\"\n102: fontSize: 14px\n103: fontWeight: 400\n104: lineHeight: 1.6\n105: letterSpacing: 0\n106: button:\n107: fontFamily: \"StyreneB, Inter, sans-serif\"\n108: fontSize: 14px\n109: fontWeight: 500\n110: lineHeight: 1\n111: letterSpacing: 0\n112: nav-link:\n113: fontFamily: \"StyreneB, Inter, sans-serif\"\n114: fontSize: 14px\n115: fontWeight: 500\n116: lineHeight: 1.4\n117: letterSpacing: 0\n118: \n119: rounded:\n120: xs: 4px\n121: sm: 6px\n122: md: 8px\n123: lg: 12px\n124: xl: 16px\n125: pill: 9999px\n126: full: 9999px\n127: \n128: spacing:\n129: xxs: 4px\n130: xs: 8px\n131: sm: 12px\n132: md: 16px\n133: lg: 24px\n134: xl: 32px\n135: xxl: 48px\n136: section: 96px\n137: \n138: components:\n139: button-primary:\n140: backgroundColor: \"{colors.primary}\"\n141: textColor: \"{colors.on-primary}\"\n142: typography: \"{typography.button}\"\n143: rounded: \"{rounded.md}\"\n144: padding: 12px 20px\n145: height: 40px\n146: button-primary-active:\n147: backgroundColor: \"{colors.primary-active}\"\n148: textColor: \"{colors.on-primary}\"\n149: rounded: \"{rounded.md}\"\n150: button-primary-disabled:\n151: backgroundColor: \"{colors.primary-disabled}\"\n152: textColor: \"{colors.muted}\"\n153: rounded: \"{rounded.md}\"\n154: button-secondary:\n155: backgroundColor: \"{colors.canvas}\"\n156: textColor: \"{colors.ink}\"\n157: typography: \"{typography.button}\"\n158: rounded: \"{rounded.md}\"\n159: padding: 12px 20px\n160: height: 40px\n161: button-secondary-on-dark:\n162: backgroundColor: \"{colors.surface-dark-elevated}\"\n163: textColor: \"{colors.on-dark}\"\n164: typography: \"{typography.button}\"\n165: rounded: \"{rounded.md}\"\n166: padding: 12px 20px\n167: button-text-link:\n168: backgroundColor: transparent\n169: textColor: \"{colors.ink}\"\n170: typography: \"{typography.button}\"\n171: button-icon-circular:\n172: backgroundColor: \"{colors.canvas}\"\n173: textColor: \"{colors.ink}\"\n174: rounded: \"{rounded.full}\"\n175: size: 36px\n176: text-link:\n177: backgroundColor: transparent\n178: textColor: \"{colors.primary}\"\n179: typography: \"{typography.body-md}\"\n180: top-nav:\n181: backgroundColor: \"{colors.canvas}\"\n182: textColor: \"{colors.ink}\"\n183: typography: \"{typography.nav-link}\"\n184: height: 64px\n185: hero-band:\n186: backgroundColor: \"{colors.canvas}\"\n187: textColor: \"{colors.ink}\"\n188: typography: \"{typography.display-xl}\"\n189: padding: 96px\n190: hero-illustration-card:\n191: backgroundColor: \"{colors.canvas}\"\n192: textColor: \"{colors.ink}\"\n193: rounded: \"{rounded.xl}\"\n194: feature-card:\n195: backgroundColor: \"{colors.surface-card}\"\n196: textColor: \"{colors.ink}\"\n197: typography: \"{typography.title-md}\"\n198: rounded: \"{rounded.lg}\"\n199: padding: 32px\n200: product-mockup-card-dark:\n201: backgroundColor: \"{colors.surface-dark}\"\n202: textColor: \"{colors.on-dark}\"\n203: typography: \"{typography.title-md}\"\n204: rounded: \"{rounded.lg}\"\n205: padding: 32px\n206: code-window-card:\n207: backgroundColor: \"{colors.surface-dark}\"\n208: textColor: \"{colors.on-dark}\"\n209: typography: \"{typography.code}\"\n210: rounded: \"{rounded.lg}\"\n211: padding: 24px\n212: model-comparison-card:\n213: backgroundColor: \"{colors.canvas}\"\n214: textColor: \"{colors.ink}\"\n215: typography: \"{typography.title-md}\"\n216: rounded: \"{rounded.lg}\"\n217: padding: 32px\n218: pricing-tier-card:\n219: backgroundColor: \"{colors.canvas}\"\n220: textColor: \"{colors.ink}\"\n221: typography: \"{typography.title-lg}\"\n222: rounded: \"{rounded.lg}\"\n223: padding: 32px\n224: pricing-tier-card-featured:\n225: backgroundColor: \"{colors.surface-dark}\"\n226: textColor: \"{colors.on-dark}\"\n227: typography: \"{typography.title-lg}\"\n228: rounded: \"{rounded.lg}\"\n229: padding: 32px\n230: callout-card-coral:\n231: backgroundColor: \"{colors.primary}\"\n232: textColor: \"{colors.on-primary}\"\n233: typography: \"{typography.title-md}\"\n234: rounded: \"{rounded.lg}\"\n235: padding: 32px\n236: connector-tile:\n237: backgroundColor: \"{colors.canvas}\"\n238: textColor: \"{colors.ink}\"\n239: typography: \"{typography.title-sm}\"\n240: rounded: \"{rounded.lg}\"\n241: padding: 20px\n242: text-input:\n243: backgroundColor: \"{colors.canvas}\"\n244: textColor: \"{colors.ink}\"\n245: typography: \"{typography.body-md}\"\n246: rounded: \"{rounded.md}\"\n247: padding: 10px 14px\n248: height: 40px\n249: text-input-focused:\n250: backgroundColor: \"{colors.canvas}\"\n251: textColor: \"{colors.ink}\"\n252: rounded: \"{rounded.md}\"\n253: cookie-consent-card:\n254: backgroundColor: \"{colors.surface-dark}\"\n255: textColor: \"{colors.on-dark}\"\n256: typography: \"{typography.body-sm}\"\n257: rounded: \"{rounded.lg}\"\n258: padding: 24px\n259: category-tab:\n260: backgroundColor: transparent\n261: textColor: \"{colors.muted}\"\n262: typography: \"{typography.nav-link}\"\n263: padding: 8px 14px\n264: rounded: \"{rounded.md}\"\n265: category-tab-active:\n266: backgroundColor: \"{colors.surface-card}\"\n267: textColor: \"{colors.ink}\"\n268: typography: \"{typography.nav-link}\"\n269: rounded: \"{rounded.md}\"\n270: badge-pill:\n271: backgroundColor: \"{colors.surface-card}\"\n272: textColor: \"{colors.ink}\"\n273: typography: \"{typography.caption}\"\n274: rounded: \"{rounded.pill}\"\n275: padding: 4px 12px\n276: badge-coral:\n277: backgroundColor: \"{colors.primary}\"\n278: textColor: \"{colors.on-primary}\"\n279: typography: \"{typography.caption-uppercase}\"\n280: rounded: \"{rounded.pill}\"\n281: padding: 4px 12px\n282: cta-band-coral:\n283: backgroundColor: \"{colors.primary}\"\n284: textColor: \"{colors.on-primary}\"\n285: typography: \"{typography.display-sm}\"\n286: rounded: \"{rounded.lg}\"\n287: padding: 64px\n288: cta-band-dark:\n289: backgroundColor: \"{colors.surface-dark}\"\n290: textColor: \"{colors.on-dark}\"\n291: typography: \"{typography.display-sm}\"\n292: rounded: \"{rounded.lg}\"\n293: padding: 64px\n294: footer:\n295: backgroundColor: \"{colors.surface-dark}\"\n296: textColor: \"{colors.on-dark-soft}\"\n297: typography: \"{typography.body-sm}\"\n298: padding: 64px\n299: ---\n300: \n301: ## Overview\n302: \n303: Claude.com is the warmest, most editorial interface in the AI-product category. The base atmosphere is a **tinted cream canvas** (`{colors.canvas}` — #faf9f5) — distinctly warm, deliberately not the cool gray-white that every other AI brand uses. Headlines run a **slab-serif display** (\"Copernicus\" / Tiempos Headline) at weight 400 with negative letter-spacing, paired with **StyreneB / Inter** body sans. The combination feels like a literary publication, not a SaaS marketing page.\n304: \n305: Brand voltage comes from the **cream + coral pairing** — coral (`{colors.primary}` — #cc785c) is the signature Anthropic accent, used on every primary CTA, on the brand wordmark, and on full-bleed callout cards. The coral is warm, slightly muted, never cyan/blue — a deliberate counter-positioning against OpenAI's cool slate, Google's saturated blue, and Microsoft's corporate cyan.\n306: \n307: The system has three surface modes that alternate page-by-page:\n308: 1. **Cream canvas** (`{colors.canvas}`) — default body floor\n309: 2. **Light cream cards** (`{colors.surface-card}`) — feature card backgrounds\n310: 3. **Dark navy product surfaces** (`{colors.surface-dark}`) — code editor mockups, model showcase cards, pre-footer CTAs, footer itself\n311: \n312: The dark surfaces are where Claude shows its product chrome — code blocks, terminal output, model comparison tables, agentic-flow diagrams. The cream-to-dark contrast is the page's pacing rhythm.\n313: \n314: **Key Characteristics:**\n315: - Warm cream canvas (`{colors.canvas}` — #faf9f5) with dark warm-ink text (`{colors.ink}` — #141413). The brand's defining color choice.\n316: - Coral primary CTA (`{colors.primary}` — #cc785c). Used scarcely on individual buttons, generously on full-bleed coral callout cards.\n317: - Slab-serif display headlines via Copernicus / Tiempos Headline at weight 400 with negative letter-spacing. Pairs with humanist sans body for a literary editorial voice.\n318: - Dark navy product mockup cards (`{colors.surface-dark}` — #181715) carrying code blocks, terminal panels, model comparison data — the brand shows the product chrome at scale rather than abstract marketing illustrations.\n319: - Light cream feature cards (`{colors.surface-card}` — #efe9de) — slightly darker than canvas, used for content-driven feature explanations.\n320: - Anthropic radial-spike mark — a small black asterisk-like glyph (4-spoke radial) — appears as the brand wordmark prefix and as a content marker.\n321: - Border radius is hierarchical: `{rounded.md}` (8px) for buttons + inputs, `{rounded.lg}` (12px) for content + product cards, `{rounded.xl}` (16px) for the hero illustration container, `{rounded.pill}` for badges.\n322: - Section rhythm `{spacing.section}` (96px) — modern-SaaS standard. Internal card padding stays generous at `{spacing.xl}` (32px).\n323: \n324: ## Colors\n325: \n326: ### Brand & Accent\n327: - **Coral / Primary** (`{colors.primary}` — #cc785c): The signature Anthropic warm coral. Used on every primary CTA background, on full-bleed coral callout cards, on the brand wordmark accent. The most-recognized Anthropic color outside of the spike-mark logo.\n328: - **Coral Active** (`{colors.primary-active}` — #a9583e): The press / hover-darker variant.\n329: - **Coral Disabled** (`{colors.primary-disabled}` — #e6dfd8): A desaturated cream-tinted disabled state.\n330: - **Accent Teal** (`{colors.accent-teal}` — #5db8a6): Used sparingly on secondary product surfaces (terminal status indicators, \"active connection\" dots in connectors page).\n331: - **Accent Amber** (`{colors.accent-amber}` — #e8a55a): A small companion warm-tone used on category badges and inline highlights.\n332: \n333: ### Surface\n334: - **Canvas** (`{colors.canvas}` — #faf9f5): The default page floor. Tinted cream — warm, deliberately not pure white.\n335: - **Surface Soft** (`{colors.surface-soft}` — #f5f0e8): Section dividers, very-soft band backgrounds.\n336: - **Surface Card** (`{colors.surface-card}` — #efe9de): Feature cards, content cards. One step darker than canvas.\n337: - **Surface Cream Strong** (`{colors.surface-cream-strong}` — #e8e0d2): A strongest-cream variant used on selected category tabs and emphasized section bands.\n338: - **Surface Dark** (`{colors.surface-dark}` — #181715): Code editor mockups, model showcase cards, footer. The dominant dark surface.\n339: - **Surface Dark Elevated** (`{colors.surface-dark-elevated}` — #252320): Elevated cards inside dark bands (settings panels in mockups).\n340: - **Surface Dark Soft** (`{colors.surface-dark-soft}` — #1f1e1b): Slightly lighter dark, used for code block backgrounds inside larger dark cards.\n341: - **Hairline** (`{colors.hairline}` — #e6dfd8): The 1px border tone on cream surfaces. Same hex as `{colors.primary-disabled}` — borders feel like one elevation step rather than ink lines.\n342: - **Hairline Soft** (`{colors.hairline-soft}` — #ebe6df): Barely-visible divider used inside the same band.\n343: \n344: ### Text\n345: - **Ink** (`{colors.ink}` — #141413): All headlines and primary text. Warm dark, slightly off-pure-black.\n346: - **Body Strong** (`{colors.body-strong}` — #252523): Emphasized paragraphs, lead text.\n347: - **Body** (`{colors.body}` — #3d3d3a): Default running-text color.\n348: - **Muted** (`{colors.muted}` — #6c6a64): Sub-headings, breadcrumbs, footer-adjacent secondary text.\n349: - **Muted Soft** (`{colors.muted-soft}` — #8e8b82): Captions, fine-print, copyright lines.\n350: - **On Primary** (`{colors.on-primary}` — #ffffff): Text on coral buttons.\n351: - **On Dark** (`{colors.on-dark}` — #faf9f5): Cream-tinted white used on dark surfaces (echoes the canvas tone).\n352: - **On Dark Soft** (`{colors.on-dark-soft}` — #a09d96): Footer body text, secondary labels in dark mockups.\n353: \n354: ### Semantic\n355: - **Success** (`{colors.success}` — #5db872): Green status dots, \"available\" indicators.\n356: - **Warning** (`{colors.warning}` — #d4a017): Warning callouts (rare on marketing surfaces).\n357: - **Error** (`{colors.error}` — #c64545): Validation errors.\n358: \n359: ## Typography\n360: \n361: ### Font Family\n362: The system runs **Copernicus** (or **Tiempos Headline** as substitute) as the slab-serif display face for headlines, and **StyreneB** (or **Inter** as substitute) as the humanist sans for body, navigation, and UI labels. **JetBrains Mono** handles code blocks. The fallback stack walks `Tiempos Headline, Garamond, \"Times New Roman\", serif` for display and `Inter, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, sans-serif` for body.\n363: \n364: The display/body split is editorial:\n365: - Copernicus serif (weight 400, negative tracking) → h1, h2, h3, hero display\n366: - StyreneB sans (weight 400-500) → body, navigation, buttons, captions, labels\n367: - JetBrains Mono → all code blocks and terminal text\n368: \n369: ### Hierarchy\n370: \n371: | Token | Size | Weight | Line Height | Letter Spacing | Use |\n372: |---|---|---|---|---|---|\n373: | `{typography.display-xl}` | 64px | 400 | 1.05 | -1.5px | Homepage h1 (\"Meet your thinking partner\") — Copernicus serif |\n374: | `{typography.display-lg}` | 48px | 400 | 1.1 | -1px | Section heads — Copernicus |\n375: | `{typography.display-md}` | 36px | 400 | 1.15 | -0.5px | Sub-section heads, model names — Copernicus |\n376: | `{typography.display-sm}` | 28px | 400 | 1.2 | -0.3px | Pricing tier names, callout headlines — Copernicus |\n377: | `{typography.title-lg}` | 22px | 500 | 1.3 | 0 | Pricing plan size labels — StyreneB |\n378: | `{typography.title-md}` | 18px | 500 | 1.4 | 0 | Feature card titles, intro paragraphs |\n379: | `{typography.title-sm}` | 16px | 500 | 1.4 | 0 | Connector tile titles, list labels |\n380: | `{typography.body-md}` | 16px | 400 | 1.55 | 0 | Default running-text — StyreneB |\n381: | `{typography.body-sm}` | 14px | 400 | 1.55 | 0 | Footer body, fine-print |\n382: | `{typography.caption}` | 13px | 500 | 1.4 | 0 | Badge labels, captions |\n383: | `{typography.caption-uppercase}` | 12px | 500 | 1.4 | 1.5px | Category tags, \"NEW\" badges |\n384: | `{typography.code}` | 14px | 400 | 1.6 | 0 | Code blocks — JetBrains Mono |\n385: | `{typography.button}` | 14px | 500 | 1.0 | 0 | Standard button labels |\n386: | `{typography.nav-link}` | 14px | 500 | 1.4 | 0 | Top-nav menu items |\n387: \n388: ### Principles\n389: Display sizes use weight 400 (regular), never bold. Negative letter-spacing (-0.3 to -1.5px) is essential — Copernicus without it reads as off-brand. The serif character is what gives Anthropic its literary, considered voice; switching to a sans-serif display would make Claude feel like every other AI tool.\n390: \n391: Body type stays at weight 400 for paragraphs, weight 500 for labels and emphasized phrases. The sans body is humanist (StyreneB) — never geometric. Inter is an acceptable substitute because of its similar humanist proportions; Helvetica or Arial would be too neutral and break the warm-editorial feel.\n392: \n393: ### Note on Font Substitutes\n394: If Copernicus / Tiempos Headline is unavailable, **Cormorant Garamond** at weight 500 with -0.02em letter-spacing is the closest open-source approximation. **EB Garamond** is a fallback. For StyreneB, **Inter** is the closest match — both are humanist sans designed for screen reading. **Söhne** is another close alternative if licensed.\n395: \n396: ## Layout\n397: \n398: ### Spacing System\n399: - **Base unit:** 4px.\n400: - **Tokens:** `{spacing.xxs}` 4px · `{spacing.xs}` 8px · `{spacing.sm}` 12px · `{spacing.md}` 16px · `{spacing.lg}` 24px · `{spacing.xl}` 32px · `{spacing.xxl}` 48px · `{spacing.section}` 96px.\n401: - **Section padding:** `{spacing.section}` (96px) — modern-SaaS rhythm.\n402: - **Card internal padding:** `{spacing.xl}` (32px) for feature cards, pricing tier cards, model comparison cards; `{spacing.lg}` (24px) for code-window cards and connector tiles.\n403: - **Callout / CTA bands:** `{spacing.xxl}` (48px) inside coral callout cards; 64px inside the larger dark CTA band.\n404: \n405: ### Grid & Container\n406: - **Max content width:** ~1200px centered.\n407: - **Editorial body:** Single 12-column grid; hero often uses 6/6 split (h1 left, illustration right).\n408: - **Feature card grids:** 3-up at desktop, 2-up at tablet, 1-up at mobile.\n409: - **Connector tile grids:** 4-up or 6-up at desktop, 2-up at tablet, 1-up at mobile.\n410: - **Pricing grid:** 3-up at desktop (Free / Pro / Team / Enterprise often), 1-up at mobile.\n411: \n412: ### Whitespace Philosophy\n413: The cream canvas + serif display + generous internal padding create an editorial pacing — Claude reads like a long-form magazine column rather than a marketing template. Whitespace between bands stays uniform at 96px; whitespace inside cards is generous (32px), letting type breathe.\n414: \n415: ## Elevation & Depth\n416: \n417: | Level | Treatment | Use |\n418: |---|---|---|\n419: | Flat | No shadow, no border | Body sections, top nav, hero bands |\n420: | Soft hairline | 1px `{colors.hairline}` border | Inputs, sub-nav, occasionally on cards |\n421: | Cream card | `{colors.surface-card}` background — no shadow | Feature cards, content cards |\n422: | Dark surface card | `{colors.surface-dark}` background — no shadow | Code editor mockups, model showcase cards |\n423: | Subtle drop shadow | Faint shadow at low alpha | Hover-elevated states (the system uses `0 1px 3px rgba(20,20,19,0.08)` rarely) |\n424: \n425: The elevation philosophy is **color-block first, shadow rare**. Most depth comes from the cream-vs-dark surface contrast. Shadows are minimal. The dark surface mockups have their own internal product chrome (code editor scrollbars, line numbers, syntax highlighting) which adds detail without needing external shadows.\n426: \n427: ### Decorative Depth\n428: - The Anthropic spike-mark glyph (4-spoke radial asterisk) appears as a small black mark in the brand wordmark and inline as a content marker.\n429: - Code editor mockups carry their own internal depth: syntax-highlighted text in muted blues / oranges / grays, line numbers in `{colors.muted-soft}`, status bars at the bottom in `{colors.surface-dark-elevated}`.\n430: - Some hero illustrations use simple line-art with coral and dark-navy strokes on cream — minimal, hand-drawn-feeling, never photorealistic.\n431: \n432: ## Shapes\n433: \n434: ### Border Radius Scale\n435: \n436: | Token | Value | Use |\n437: |---|---|---|\n438: | `{rounded.xs}` | 4px | Reserved for badge accents and tiny dropdowns |\n439: | `{rounded.sm}` | 6px | Small inline buttons, dropdown items |\n440: | `{rounded.md}` | 8px | Standard CTA buttons, text inputs, category tabs |\n441: | `{rounded.lg}` | 12px | Content cards (feature, pricing, code-window, model-comparison) |\n442: | `{rounded.xl}` | 16px | Hero illustration container, the larger marquee components |\n443: | `{rounded.pill}` | 9999px | Badge pills, \"NEW\" tags |\n444: | `{rounded.full}` | 9999px / 50% | Avatar substitutes, icon buttons |\n445: \n446: ### Photography & Illustrations\n447: Claude's hero rarely uses photography. Instead it uses:\n448: - Simple line-art illustrations with coral + dark-navy strokes on the cream canvas\n449: - Code editor mockups (the dominant \"hero\" treatment on developer-focused pages)\n450: - Terminal output mockups with monospace text on dark\n451: - Model comparison cards (Opus / Sonnet / Haiku) with abstract geometric thumbnails\n452: \n453: When photography is used (rare — mostly testimonials), avatars crop to perfect circles at 40px diameter.\n454: \n455: ## Components\n456: \n457: ### Top Navigation\n458: \n459: **`top-nav`** — Cream nav bar pinned to the top of every page. 64px tall, `{colors.canvas}` background. Carries the Anthropic spike-mark + \"Claude\" wordmark at left, primary horizontal menu (Product, Solutions, Use Cases, Pricing, Research, Company) center-left, right-side cluster with \"Sign in\" text-link, \"Try Claude\" `{component.button-primary}` (coral). Menu items in `{typography.nav-link}` (StyreneB 14px / 500).\n460: \n461: ### Buttons\n462: \n463: **`button-primary`** — The signature coral CTA. Background `{colors.primary}` (#cc785c), text `{colors.on-primary}` (white), type `{typography.button}` (StyreneB 14px / 500), padding 12px × 20px, height 40px, rounded `{rounded.md}` (8px). Active state `button-primary-active` darkens to `{colors.primary-active}` (#a9583e).\n464: \n465: **`button-secondary`** — Cream button with hairline outline. Background `{colors.canvas}`, text `{colors.ink}`, 1px hairline border, same padding + height + radius as primary.\n466: \n467: **`button-secondary-on-dark`** — Used over `{colors.surface-dark}` cards. Background `{colors.surface-dark-elevated}` (#252320), text `{colors.on-dark}`. Stays dark — the system never inverts to a light secondary on dark surfaces.\n468: \n469: **`button-text-link`** — Inline text button, no background. Used for \"Sign in\" in the top nav and inline CTA links.\n470: \n471: **`button-icon-circular`** — 36px circular icon button. Background `{colors.canvas}`, hairline border, ink-color icon. Used for carousel arrows, share, \"view more\".\n472: \n473: **`text-link`** — Inline body links in `{colors.primary}` (the coral). Underlined on press; the coral inline link is one of the system's most distinctive small details.\n474: \n475: ### Cards & Containers\n476: \n477: **`hero-band`** — Cream-canvas hero with a 6-6 grid: h1 + sub-headline + button row on the left, hero illustration card or product mockup card on the right. Vertical padding `{spacing.section}` (96px).\n478: \n479: **`hero-illustration-card`** — A larger card holding the hero's right-side artifact — sometimes a coral-stroke line illustration on cream background, sometimes a dark code editor mockup. Background `{colors.canvas}` or `{colors.surface-dark}` depending on context, rounded `{rounded.xl}` (16px).\n480: \n481: **`feature-card`** — Used in 3-up feature grids. Background `{colors.surface-card}` (#efe9de — slightly darker cream), rounded `{rounded.lg}` (12px), internal padding `{spacing.xl}` (32px). Carries a small icon at top, an `{typography.title-md}` headline, and a body description in `{typography.body-md}`.\n482: \n483: **`product-mockup-card-dark`** — Dark navy card showing actual Claude product chrome (chat interface, code editor, agent controls). Background `{colors.surface-dark}`, rounded `{rounded.lg}`, internal padding `{spacing.xl}` (32px). Carries text labels in `{colors.on-dark}` and product UI fragments below.\n484: \n485: **`code-window-card`** — A specialized dark card showing a code editor with line numbers, syntax-highlighted code in `{typography.code}` (JetBrains Mono), and sometimes a \"Run\" button or terminal output panel below. Background `{colors.surface-dark}` with `{colors.surface-dark-soft}` for the inner code block, rounded `{rounded.lg}`, padding `{spacing.lg}` (24px). The signature visual element of Claude Code product pages.\n486: \n487: **`model-comparison-card`** — Used on the homepage's \"Which problem are you up against?\" section comparing Opus / Sonnet / Haiku. Background `{colors.canvas}` with hairline border, rounded `{rounded.lg}`, internal padding `{spacing.xl}` (32px). Carries the model name, a short capability blurb, and a `{component.text-link}` to learn more.\n488: \n489: **`pricing-tier-card`** — Standard tier card. Background `{colors.canvas}` with hairline border, rounded `{rounded.lg}`, padding `{spacing.xl}` (32px). Carries the plan name in `{typography.title-lg}` (StyreneB), price in `{typography.display-sm}` (Copernicus serif!), feature checklist in `{typography.body-md}`, and a `{component.button-primary}` at the bottom.\n490: \n491: **`pricing-tier-card-featured`** — The featured tier (typically \"Pro\" or \"Team\"). Background flips to `{colors.surface-dark}`, text inverts to `{colors.on-dark}`. The dark surface IS the featured-tier signal.\n492: \n493: **`callout-card-coral`** — A full-bleed coral card carrying a major call-to-action. Background `{colors.primary}` (#cc785c), text `{colors.on-primary}` (white), rounded `{rounded.lg}`, padding `{spacing.xxl}` (48px). The coral surface IS the voltage; the CTA inside uses an inverted button style (cream/canvas button on coral).\n494: \n495: **`connector-tile`** — Used on the connectors page's integration grid. Background `{colors.canvas}` with hairline border, rounded `{rounded.lg}`, padding 20px. Each tile carries a logo at top, a `{typography.title-sm}` connector name, and a short description.\n496: \n497: ### Inputs & Forms\n498: \n499: **`text-input`** — Standard text input. Background `{colors.canvas}`, text `{colors.ink}`, type `{typography.body-md}`, rounded `{rounded.md}` (8px), padding 10px × 14px, height 40px. 1px hairline border in `{colors.hairline}`.\n500: \n501: **`text-input-focused`** — Focus state. Border thickens or shifts to `{colors.primary}` (coral) for emphasis. Carries a 3px coral-at-15%-alpha outer ring.\n502: \n503: **`cookie-consent-card`** — Bottom-right floating dark cookie banner. Background `{colors.surface-dark}`, text `{colors.on-dark}`, rounded `{rounded.lg}`, padding `{spacing.lg}` (24px). One of the few places dark surface appears at small scale on cream pages.\n504: \n505: ### Tags / Badges\n506: \n507: **`badge-pill`** — Small pill label used for category tags. Background `{colors.surface-card}`, text `{colors.ink}`, type `{typography.caption}` (13px / 500), rounded `{rounded.pill}`, padding 4px × 12px.\n508: \n509: **`badge-coral`** — Coral-fill badge for \"NEW\", \"BETA\", featured highlights. Background `{colors.primary}`, text `{colors.on-primary}`, type `{typography.caption-uppercase}` (12px / 500 / 1.5px tracking), rounded `{rounded.pill}`, padding 4px × 12px.\n510: \n511: ### Tab / Filter\n512: \n513: **`category-tab`** + **`category-tab-active`** — Used in sub-nav rows on solutions / connectors pages. Inactive: transparent background, `{colors.muted}` text. Active: `{colors.surface-card}` background, `{colors.ink}` text. Padding 8px × 14px, rounded `{rounded.md}`.\n514: \n515: ### CTA / Footer\n516: \n517: **`cta-band-coral`** — A pre-footer \"Try Claude\" CTA card. Full-width coral fill, white type, rounded `{rounded.lg}`, padding 64px. Carries an h2 in `{typography.display-sm}` (still serif!), a sub-line, and a cream-button CTA.\n518: \n519: **`cta-band-dark`** — Alternative pre-footer band on developer-focused pages. Background `{colors.surface-dark}`, text `{colors.on-dark}`, rounded `{rounded.lg}`, padding 64px. Often pairs with a code-window card.\n520: \n521: **`footer`** — Dark navy footer that closes every page. Background `{colors.surface-dark}` (#181715), text `{colors.on-dark-soft}`. 4-column link list at desktop covering Product / Company / Resources / Legal. Vertical padding 64px. The Anthropic spike-mark + \"Anthropic\" wordmark sits at the top in `{colors.on-dark}`. The footer never inverts.\n522: \n523: ## Do's and Don'ts\n524: \n525: ### Do\n526: - Anchor every page on the cream canvas. Pure white reads as \"any other AI tool\"; the warm tint is the brand differentiator.\n527: - Use Copernicus serif for every display headline. Pair with StyreneB sans body. Negative letter-spacing on display sizes is non-negotiable.\n528: - Reserve `{colors.primary}` (coral) for primary CTAs and full-bleed `{component.callout-card-coral}` moments. Don't paint accent moments coral elsewhere.\n529: - Use `{component.product-mockup-card-dark}` and `{component.code-window-card}` to show actual Claude product chrome. Don't paint marketing illustrations of code when you can show real code.\n530: - Pair `{component.feature-card}` (cream) with `{component.product-mockup-card-dark}` (navy) in alternating bands. The cream-to-dark rhythm is the brand's pacing mechanism.\n531: - Use the Anthropic spike-mark glyph as the brand wordmark prefix. Never invert the mark to white-on-dark within the wordmark itself.\n532: - Apply `{spacing.section}` (96px) between major bands.\n533: \n534: ### Don't\n535: - Don't use cool grays or pure white for canvas. Cream is the brand.\n536: - Don't bold serif display weight. Copernicus at 700 reads as bombastic; the system stays at 400.\n537: - Don't use cool blue or saturated cyan as a brand accent. The coral is the brand voltage.\n538: - Don't put coral everywhere. The coral is scarce on individual elements and generous only on full-bleed coral callout cards.\n539: - Don't use Inter for display headlines. The serif character is the brand voice.\n540: - Don't repeat the same surface mode in two consecutive bands. The pacing alternates: cream → cream-card → dark-mockup → cream → coral-callout → dark-footer.\n541: - Don't add hover state styling beyond what the system already encodes — primary darkens on press; nothing else changes.\n542: \n543: ## Responsive Behavior\n544: \n545: ### Breakpoints\n546: \n547: | Name | Width | Key Changes |\n548: |---|---|---|\n549: | Mobile | < 768px | Hamburger nav; hero h1 64→32px; hero-illustration-card stacks below content; feature grids 1-up; connector tiles 2-up; pricing 1-up; footer 4 cols → 1 |\n550: | Tablet | 768–1024px | Top nav stays horizontal but tightens; feature cards 2-up; connector tiles 3-up; pricing 2-up |\n551: | Desktop | 1024–1440px | Full top-nav with all menu items; 3-up feature cards; 4-up or 6-up connector tiles; 3-up pricing tiers |\n552: | Wide | > 1440px | Same as desktop with more outer breathing room; max content width caps at 1200px |\n553: \n554: ### Touch Targets\n555: - `{component.button-primary}` at minimum 40 × 40px.\n556: - `{component.button-icon-circular}` at exactly 36 × 36 — slightly under WCAG 44 but visually centered.\n557: - `{component.text-input}` height is 40px.\n558: - Connector tile entire card area is tappable; effective tap area >> 44px.\n559: \n560: ### Collapsing Strategy\n561: - Top nav collapses to hamburger at < 768px; menu opens as a full-screen cream sheet.\n562: - Hero band's 6-6 grid collapses to single-column on mobile — h1 + sub-head + buttons first, then the illustration / mockup card below.\n563: - Feature grids reduce columns rather than scaling cards down.\n564: - Pricing tier cards collapse 4 → 2 → 1; featured-tier dark surface stays visually distinct at every breakpoint.\n565: - Code-window cards retain code legibility at every breakpoint by allowing horizontal scroll within the card rather than wrapping code lines.\n566: \n567: ### Image Behavior\n568: - Code blocks inside dark mockups stay at fixed font-size; horizontal scroll on mobile rather than wrapping.\n569: - Hero illustrations scale proportionally; line-art strokes thin slightly on mobile.\n570: - Avatar photos in testimonials crop to circles at every breakpoint.\n571: \n572: ## Iteration Guide\n573: \n574: 1. Focus on ONE component at a time. Reference its YAML key (`{component.feature-card}`, `{component.code-window-card}`).\n575: 2. Variants of an existing component (`-active`, `-disabled`, `-focused`) live as separate entries in `components:`.\n576: 3. Use `{token.refs}` everywhere — never inline hex.\n577: 4. Never document hover. Default and Active/Pressed states only.\n578: 5. Display headlines stay Copernicus serif 400 with negative tracking. Body stays StyreneB / Inter 400. The split is unbreakable.\n579: 6. Cream + coral + dark navy is the trinity. Don't introduce a fourth surface tone (no purple cards, no green sections).\n580: 7. When in doubt about emphasis: bigger Copernicus serif before bolder weight.\n581: \n582: ## Known Gaps\n583: \n584: - Copernicus and StyreneB are licensed Anthropic typefaces and not available as public web fonts. Substitutes (Tiempos Headline / Cormorant Garamond / EB Garamond for serif; Inter / Söhne for sans) are documented in the typography section.\n585: - The Anthropic radial-spike-mark is a brand glyph rendered as inline SVG; it's not formalized as a system token here. Treat it as a logo asset.\n586: - Animation and transition timings (chat message reveal, code block typewriter effect on the homepage, agentic-flow diagram animations) are not in scope.\n587: - Form validation states beyond `{component.text-input-focused}` are not extracted — error / success states would need a sign-up or feedback flow to confirm.\n588: - The actual Claude product surface (claude.ai chat interface) shares some tokens with the marketing site but adds many product-specific components (chat bubbles, message tools, file upload chips, conversation history sidebar) that are out of scope for this marketing-surface document.\n589: - The \"agent\" / \"computer use\" demo cards on certain pages display animated Claude controlling a browser — the static screenshot doesn't fully capture the animation chrome.\n\n(End of file - total 589 lines)\n"}]}} +{"type":"tool/result","seq":2833,"time":1786844140709,"data":{"turn":1,"step":9,"message":{"source":{"kind":"tool","callId":"call_00_JqsY9DnvGBEVtvhuObnS1995"},"content":[{"type":"tool-result","toolCallId":"call_00_JqsY9DnvGBEVtvhuObnS1995","content":[{"type":"text","text":"=== docs ===\nSPEC-multimodal-input.md\nagent-architecture.md\nagent-tool-framework.md\nagent-tool-session.md\ndatabase\nhandover\nqwen3-vl-tools-fix.md\nsuperpowers\n---\ndocs/database:\nschema.md\n\ndocs/handover:\n2026-08-09-agent-document-tool.md\n\n\n=== DESIGN.md (lines: 589) ===\n---\nversion: alpha\nname: Claude-design-analysis\ndescription: A warm-canvas editorial interface for Anthropic's Claude product. The system anchors on a tinted cream canvas with serif display headlines, warm coral CTAs, and dark navy product surfaces (code editor mockups, model showcase cards). Brand voltage comes from the cream/coral pairing — deliberately warm and humanist where most AI brands use cool blue + slate. Type voice runs a slab-serif display (\"Copernicus\" / Tiempos Headline) for h1/h2 and a humanist sans for body. The signature Anthropic black-radial-spike mark anchors the wordmark.\n\ncolors:\n primary: \"#cc785c\"\n primary-active: \"#a9583e\"\n primary-disabled: \"#e6dfd8\"\n ink: \"#141413\"\n body: \"#3d3d3a\"\n body-strong: \"#252523\"\n muted: \"#6c6a64\"\n muted-soft: \"#8e8b82\"\n hairline: \"#e6dfd8\"\n hairline-soft: \"#ebe6df\"\n canvas: \"#faf9f5\"\n surface-soft: \"#f5f0e8\"\n surface-card: \"#efe9de\"\n surface-cream-strong: \"#e8e0d2\"\n surface-dark: \"#181715\"\n surface-dark-elevated: \"#252320\"\n surface-dark-soft: \"#1f1e1b\"\n on-primary: \"#ffffff\"\n on-dark: \"#faf9f5\"\n on-dark-soft: \"#a09d96\"\n accent-teal: \"#5db8a6\"\n accent-amber: \"#e8a55a\"\n success: \"#5db872\"\n warning: \"#d4a017\"\n error: \"#c64545\"\n\ntypography:\n display-xl:\n fontFamily: \"Copernicus, Tiempos Headline, serif\"\n fontSize: 64px\n fontWeight: 400\n lineHeight: 1.05\n letterSpacing: -1.5px\n display-lg:\n fontFamily: \"Copernicus, Tiempos Headline, serif\"\n fontSize: 48px\n fontWeight: 400\n lineHeight: 1.1\n letterSpacing: -1px\n display-md:\n fontFamily: \"Copernicus, Tiempos Headline, serif\"\n fontSize: 36px\n fontWeight: 400\n lineHeight: 1.15\n letterSpacing: -0.5px\n display-sm:\n fontFamily: \"Copernicus, Tiempos Headline, serif\"\n fontSize: 28px\n fontWeight: 400\n lineHeight: 1.2\n letterSpacing: -0.3px\n title-lg:\n fontFamily: \"StyreneB, Inter, sans-serif\"\n fontSize: 22px\n fontWeight: 500\n lineHeight: 1.3\n letterSpacing: 0\n title-md:\n fontFamily: \"StyreneB, Inter, sans-serif\"\n fontSize: 18px\n fontWeight: 500\n lineHeight: 1.4\n letterSpacing: 0\n title-sm:\n fontFamily: \"StyreneB, Inter, sans-serif\"\n fontSize: 16px\n fontWeight: 500\n lineHeight: 1.4\n letterSpacing: 0\n body-md:\n fontFamily: \"StyreneB, Inter, sans-serif\"\n fontSize: 16px\n fontWeight: 400\n lineHeight: 1.55\n letterSpacing: 0\n body-sm:\n fontFamily: \"StyreneB, Inter, sans-serif\"\n fontSize: 14px\n fontWeight: 400\n lineHeight: 1.55\n letterSpacing: 0\n caption:\n fontFamily: \"StyreneB, Inter, sans-serif\"\n fontSize: 13px\n fontWeight: 500\n lineHeight: 1.4\n letterSpacing: 0\n caption-uppercase:\n fontFamily: \"StyreneB, Inter, sans-serif\"\n fontSize: 12px\n fontWeight: 500\n lineHeight: 1.4\n letterSpacing: 1.5px\n code:\n fontFamily: \"JetBrains Mono, ui-monospace, monospace\"\n fontSize: 14px\n fontWeight: 400\n lineHeight: 1.6\n letterSpacing: 0\n button:\n fontFamily: \"StyreneB, Inter, sans-serif\"\n fontSize: 14px\n fontWeight: 500\n lineHeight: 1\n letterSpacing: 0\n nav-link:\n fontFamily: \"StyreneB, Inter, sans-serif\"\n fontSize: 14px\n fontWeight: 500\n lineHeight: 1.4\n letterSpacing: 0\n\nrounded:\n xs: 4px\n sm: 6px\n md: 8px\n lg: 12px\n xl: 16px\n pill: 9999px\n full: 9999px\n\nspacing:\n xxs: 4px\n xs: 8px\n sm: 12px\n md: 16px\n lg: 24px\n xl: 32px\n xxl: 48px\n section: 96px\n\ncomponents:\n button-primary:\n backgroundColor: \"{colors.primary}\"\n textColor: \"{colors.on-primary}\"\n typography: \"{typography.button}\"\n rounded: \"{rounded.md}\"\n padding: 12px 20px\n height: 40px\n button-primary-active:\n backgroundColor: \"{colors.primary-active}\"\n textColor: \"{colors.on-primary}\"\n rounded: \"{rounded.md}\"\n button-primary-disabled:\n backgroundColor: \"{colors.primary-disabled}\"\n textColor: \"{colors.muted}\"\n rounded: \"{rounded.md}\"\n button-secondary:\n backgroundColor: \"{colors.canvas}\"\n textColor: \"{colors.ink}\"\n typography: \"{typography.button}\"\n rounded: \"{rounded.md}\"\n padding: 12px 20px\n height: 40px\n button-secondary-on-dark:\n backgroundColor: \"{colors.surface-dark-elevated}\"\n textColor: \"{colors.on-dark}\"\n typography: \"{typography.button}\"\n rounded: \"{rounded.md}\"\n padding: 12px 20px\n button-text-link:\n backgroundColor: transparent\n textColor: \"{colors.ink}\"\n typography: \"{typography.button}\"\n button-icon-circular:\n backgroundColor: \"{colors.canvas}\"\n textColor: \"{colors.ink}\"\n rounded: \"{rounded.full}\"\n size: 36px\n text-link:\n backgroundColor: transparent\n textColor: \"{colors.primary}\"\n typography: \"{typography.body-md}\"\n top-nav:\n backgroundColor: \"{colors.canvas}\"\n textColor: \"{colors.ink}\"\n typography: \"{typography.nav-link}\"\n height: 64px\n hero-band:\n backgroundColor: \"{colors.canvas}\"\n textColor: \"{colors.ink}\"\n typography: \"{typography.display-xl}\"\n padding: 96px\n hero-illustration-card:\n backgroundColor: \"{colors.canvas}\"\n textColor: \"{colors.ink}\"\n rounded: \"{rounded.xl}\"\n feature-card:\n backgroundColor: \"{colors.surface-card}\"\n textColor: \"{colors.ink}\"\n typography: \"{typography.title-md}\"\n rounded: \"{rounded.lg}\"\n padding: 32px\n product-mockup-card-dark:\n backgroundColor: \"{colors.surface-dark}\"\n textColor: \"{colors.on-dark}\"\n typography: \"{typography.title-md}\"\n rounded: \"{rounded.lg}\"\n padding: 32px\n code-window-card:\n backgroundColor: \"{colors.surface-dark}\"\n textColor: \"{colors.on-dark}\"\n typography: \"{typography.code}\"\n rounded: \"{rounded.lg}\"\n padding: 24px\n model-comparison-card:\n backgroundColor: \"{colors.canvas}\"\n textColor: \"{colors.ink}\"\n typography: \"{typography.title-md}\"\n rounded: \"{rounded.lg}\"\n padding: 32px\n pricing-tier-card:\n backgroundColor: \"{colors.canvas}\"\n textColor: \"{colors.ink}\"\n typography: \"{typography.title-lg}\"\n rounded: \"{rounded.lg}\"\n padding: 32px\n pricing-tier-card-featured:\n backgroundColor: \"{colors.surface-dark}\"\n textColor: \"{colors.on-dark}\"\n typography: \"{typography.title-lg}\"\n rounded: \"{rounded.lg}\"\n padding: 32px\n callout-card-coral:\n backgroundColor: \"{colors.primary}\"\n textColor: \"{colors.on-primary}\"\n typography: \"{typography.title-md}\"\n rounded: \"{rounded.lg}\"\n padding: 32px\n connector-tile:\n backgroundColor: \"{colors.canvas}\"\n textColor: \"{colors.ink}\"\n typography: \"{typography.title-sm}\"\n rounded: \"{rounded.lg}\"\n padding: 20px\n text-input:\n backgroundColor: \"{colors.canvas}\"\n textColor: \"{colors.ink}\"\n typography: \"{typography.body-md}\"\n rounded: \"{rounded.md}\"\n padding: 10px 14px\n height: 40px\n text-input-focused:\n backgroundColor: \"{colors.canvas}\"\n textColor: \"{colors.ink}\"\n rounded: \"{rounded.md}\"\n cookie-consent-card:\n backgroundColor: \"{colors.surface-dark}\"\n textColor: \"{colors.on-dark}\"\n typography: \"{typography.body-sm}\"\n rounded: \"{rounded.lg}\"\n padding: 24px\n category-tab:\n backgroundColor: transparent\n textColor: \"{colors.muted}\"\n typography: \"{typography.nav-link}\"\n padding: 8px 14px\n rounded: \"{rounded.md}\"\n category-tab-active:\n backgroundColor: \"{colors.surface-card}\"\n textColor: \"{colors.ink}\"\n typography: \"{typography.nav-link}\"\n rounded: \"{rounded.md}\"\n badge-pill:\n backgroundColor: \"{colors.surface-card}\"\n textColor: \"{colors.ink}\"\n typography: \"{typography.caption}\"\n rounded: \"{rounded.pill}\"\n padding: 4px 12px\n badge-coral:\n backgroundColor: \"{colors.primary}\"\n textColor: \"{colors.on-primary}\"\n typography: \"{typography.caption-uppercase}\"\n rounded: \"{rounded.pill}\"\n padding: 4px 12px\n cta-band-coral:\n backgroundColor: \"{colors.primary}\"\n textColor: \"{colors.on-primary}\"\n typography: \"{typography.display-sm}\"\n rounded: \"{rounded.lg}\"\n padding: 64px\n cta-band-dark:\n backgroundColor: \"{colors.surface-dark}\"\n textColor: \"{colors.on-dark}\"\n typography: \"{typography.display-sm}\"\n rounded: \"{rounded.lg}\"\n padding: 64px\n footer:\n backgroundColor: \"{colors.surface-dark}\"\n textColor: \"{colors.on-dark-soft}\"\n typography: \"{typography.body-sm}\"\n padding: 64px\n---\n\n## Overview\n\nClaude.com is the warmest, most editorial interface in the AI-product category. The base atmosphere is a **tinted cream canvas** (`{colors.canvas}` — #faf9f5) — distinctly warm, deliberately not the cool gray-white that every other AI brand uses. Headlines run a **slab-serif display** (\"Copernicus\" / Tiempos Headline) at weight 400 with negative letter-spacing, paired with **StyreneB / Inter** body sans. The combination feels like a literary publication, not a SaaS marketing page.\n\nBrand voltage comes from the **cream + coral pairing** — coral (`{colors.primary}` — #cc785c) is the signature Anthropic accent, used on every primary CTA, on the brand wordmark, and on full-bleed callout cards. The coral is warm, slightly muted, never cyan/blue — a deliberate counter-positioning against OpenAI's cool slate, Google's saturated blue, and Microsoft's corporate cyan.\n\nThe system has three surface modes that alternate page-by-page:\n1. **Cream canvas** (`{colors.canvas}`) — default body floor\n2. **Light cream cards** (`{colors.surface-card}`) — feature card backgrounds\n3. **Dark navy product surfaces** (`{colors.surface-dark}`) — code editor mockups, model showcase cards, pre-footer CTAs, footer itself\n\nThe dark surfaces are where Claude shows its product chrome — code blocks, terminal output, model comparison tables, agentic-flow diagrams. The cream-to-dark contrast is the page's pacing rhythm.\n\n**Key Characteristics:**\n- Warm cream canvas (`{colors.canvas}` — #faf9f5) with dark warm-ink text (`{colors.ink}` — #141413). The brand's defining color choice.\n- Coral primary CTA (`{colors.primary}` — #cc785c). Used scarcely on individual buttons, generously on full-bleed coral callout cards.\n- Slab-serif display headlines via Copernicus / Tiempos Headline at weight 400 with negative letter-spacing. Pairs with humanist sans body for a literary editorial voice.\n- Dark navy product mockup cards (`{colors.surface-dark}` — #181715) carrying code blocks, terminal panels, model comparison data — the brand shows the product chrome at scale rather than abstract marketing illustrations.\n- Light cream feature cards (`{colors.surface-card}` — #efe9de) — slightly darker than canvas, used for content-driven feature explanations.\n- Anthropic radial-spike mark — a small black asterisk-like glyph (4-spoke radial) — appears as the brand wordmark prefix and as a content marker.\n- Border radius is hierarchical: `{rounded.md}` (8px) for buttons + inputs, `{rounded.lg}` (12px) for content + product cards, `{rounded.xl}` (16px) for the hero illustration container, `{rounded.pill}` for badges.\n- Section rhythm `{spacing.section}` (96px) — modern-SaaS standard. Internal card padding stays generous at `{spacing.xl}` (32px).\n\n## Colors\n\n### Brand & Accent\n- **Coral / Primary** (`{colors.primary}` — #cc785c): The signature Anthropic warm coral. Used on every primary CTA background, on full-bleed coral callout cards, on the brand wordmark accent. The most-recognized Anthropic color outside of the spike-mark logo.\n- **Coral Active** (`{colors.primary-active}` — #a9583e): The press / hover-darker variant.\n- **Coral Disabled** (`{colors.primary-disabled}` — #e6dfd8): A desaturated cream-tinted disabled state.\n- **Accent Teal** (`{colors.accent-teal}` — #5db8a6): Used sparingly on secondary product surfaces (terminal status indicators, \"active connection\" dots in connectors page).\n- **Accent Amber** (`{colors.accent-amber}` — #e8a55a): A small companion warm-tone used on category badges and inline highlights.\n\n### Surface\n- **Canvas** (`{colors.canvas}` — #faf9f5): The default page floor. Tinted cream — warm, deliberately not pure white.\n- **Surface Soft** (`{colors.surface-soft}` — #f5f0e8): Section dividers, very-soft band backgrounds.\n- **Surface Card** (`{colors.surface-card}` — #efe9de): Feature cards, content cards. One step darker than canvas.\n- **Surface Cream Strong** (`{colors.surface-cream-strong}` — #e8e0d2): A strongest-cream variant used on selected category tabs and emphasized section bands.\n- **Surface Dark** (`{colors.surface-dark}` — #181715): Code editor mockups, model showcase cards, footer. The dominant dark surface.\n- **Surface Dark Elevated** (`{colors.surface-dark-elevated}` — #252320): Elevated cards inside dark bands (settings panels in mockups).\n- **Surface Dark Soft** (`{colors.surface-dark-soft}` — #1f1e1b): Slightly lighter dark, used for code block backgrounds inside larger dark cards.\n- **Hairline** (`{colors.hairline}` — #e6dfd8): The 1px border tone on cream surfaces. Same hex as `{colors.primary-disabled}` — borders feel like one elevation step rather than ink lines.\n- **Hairline Soft** (`{colors.hairline-soft}` — #ebe6df): Barely-visible divider used inside the same band.\n\n### Text\n- **Ink** (`{colors.ink}` — #141413): All headlines and primary text. Warm dark, slightly off-pure-black.\n- **Body Strong** (`{colors.body-strong}` — #252523): Emphasized paragraphs, lead text.\n- **Body** (`{colors.body}` — #3d3d3a): Default running-text color.\n- **Muted** (`{colors.muted}` — #6c6a64): Sub-headings, breadcrumbs, footer-adjacent secondary text.\n- **Muted Soft** (`{colors.muted-soft}` — #8e8b82): Captions, fine-print, copyright lines.\n- **On Primary** (`{colors.on-primary}` — #ffffff): Text on coral buttons.\n- **On Dark** (`{colors.on-dark}` — #faf9f5): Cream-tinted white used on dark surfaces (echoes the canvas tone).\n- **On Dark Soft** (`{colors.on-dark-soft}` — #a09d96): Footer body text, secondary labels in dark mockups.\n\n### Semantic\n- **Success** (`{colors.success}` — #5db872): Green status dots, \"available\" indicators.\n- **Warning** (`{colors.warning}` — #d4a017): Warning callouts (rare on marketing surfaces).\n- **Error** (`{colors.error}` — #c64545): Validation errors.\n\n## Typography\n\n### Font Family\nThe system runs **Copernicus** (or **Tiempos Headline** as substitute) as the slab-serif display face for headlines, and **StyreneB** (or **Inter** as substitute) as the humanist sans for body, navigation, and UI labels. **JetBrains Mono** handles code blocks. The fallback stack walks `Tiempos Headline, Garamond, \"Times New Roman\", serif` for display and `Inter, -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, sans-serif` for body.\n\nThe display/body split is editorial:\n- Copernicus serif (weight 400, negative tracking) → h1, h2, h3, hero display\n- StyreneB sans (weight 400-500) → body, navigation, buttons, captions, labels\n- JetBrains Mono → all code blocks and terminal text\n\n### Hierarchy\n\n| Token | Size | Weight | Line Height | Letter Spacing | Use |\n|---|---|---|---|---|---|\n| `{typography.display-xl}` | 64px | 400 | 1.05 | -1.5px | Homepage h1 (\"Meet your thinking partner\") — Copernicus serif |\n| `{typography.display-lg}` | 48px | 400 | 1.1 | -1px | Section heads — Copernicus |\n| `{typography.display-md}` | 36px | 400 | 1.15 | -0.5px | Sub-section heads, model names — Copernicus |\n| `{typography.display-sm}` | 28px | 400 | 1.2 | -0.3px | Pricing tier names, callout headlines — Copernicus |\n| `{typography.title-lg}` | 22px | 500 | 1.3 | 0 | Pricing plan size labels — StyreneB |\n| `{typography.title-md}` | 18px | 500 | 1.4 | 0 | Feature card titles, intro paragraphs |\n| `{typography.title-sm}` | 16px | 500 | 1.4 | 0 | Connector tile titles, list labels |\n| `{typography.body-md}` | 16px | 400 | 1.55 | 0 | Default running-text — StyreneB |\n| `{typography.body-sm}` | 14px | 400 | 1.55 | 0 | Footer body, fine-print |\n| `{typography.caption}` | 13px | 500 | 1.4 | 0 | Badge labels, captions |\n| `{typography.caption-uppercase}` | 12px | 500 | 1.4 | 1.5px | Category tags, \"NEW\" badges |\n| `{typography.code}` | 14px | 400 | 1.6 | 0 | Code blocks — JetBrains Mono |\n| `{typography.button}` | 14px | 500 | 1.0 | 0 | Standard button labels |\n| `{typography.nav-link}` | 14px | 500 | 1.4 | 0 | Top-nav menu items |\n\n### Principles\nDisplay sizes use weight 400 (regular), never bold. Negative letter-spacing (-0.3 to -1.5px) is essential — Copernicus without it reads as off-brand. The serif character is what gives Anthropic its literary, considered voice; switching to a sans-serif display would make Claude feel like every other AI tool.\n\nBody type stays at weight 400 for paragraphs, weight 500 for labels and emphasized phrases. The sans body is humanist (StyreneB) — never geometric. Inter is an acceptable substitute because of its similar humanist proportions; Helvetica or Arial would be too neutral and break the warm-editorial feel.\n\n### Note on Font Substitutes\nIf Copernicus / Tiempos Headline is unavailable, **Cormorant Garamond** at weight 500 with -0.02em letter-spacing is the closest open-source approximation. **EB Garamond** is a fallback. For StyreneB, **Inter** is the closest match — both are humanist sans designed for screen reading. **Söhne** is another close alternative if licensed.\n\n## Layout\n\n### Spacing System\n- **Base unit:** 4px.\n- **Tokens:** `{spacing.xxs}` 4px · `{spacing.xs}` 8px · `{spacing.sm}` 12px · `{spacing.md}` 16px · `{spacing.lg}` 24px · `{spacing.xl}` 32px · `{spacing.xxl}` 48px · `{spacing.section}` 96px.\n- **Section padding:** `{spacing.section}` (96px) — modern-SaaS rhythm.\n- **Card internal padding:** `{spacing.xl}` (32px) for feature cards, pricing tier cards, model comparison cards; `{spacing.lg}` (24px) for code-window cards and connector tiles.\n- **Callout / CTA bands:** `{spacing.xxl}` (48px) inside coral callout cards; 64px inside the larger dark CTA band.\n\n### Grid & Container\n- **Max content width:** ~1200px centered.\n- **Editorial body:** Single 12-column grid; hero often uses 6/6 split (h1 left, illustration right).\n- **Feature card grids:** 3-up at desktop, 2-up at tablet, 1-up at mobile.\n- **Connector tile grids:** 4-up or 6-up at desktop, 2-up at tablet, 1-up at mobile.\n- **Pricing grid:** 3-up at desktop (Free / Pro / Team / Enterprise often), 1-up at mobile.\n\n### Whitespace Philosophy\nThe cream canvas + serif display + generous internal padding create an editorial pacing — Claude reads like a long-form magazine column rather than a marketing template. Whitespace between bands stays uniform at 96px; whitespace inside cards is generous (32px), letting type breathe.\n\n## Elevation & Depth\n\n| Level | Treatment | Use |\n|---|---|---|\n| Flat | No shadow, no border | Body sections, top nav, hero bands |\n| Soft hairline | 1px `{colors.hairline}` border | Inputs, sub-nav, occasionally on cards |\n| Cream card | `{colors.surface-card}` background — no shadow | Feature cards, content cards |\n| Dark surface card | `{colors.surface-dark}` background — no shadow | Code editor mockups, model showcase cards |\n| Subtle drop shadow | Faint shadow at low alpha | Hover-elevated states (the system uses `0 1px 3px rgba(20,20,19,0.08)` rarely) |\n\nThe elevation philosophy is **color-block first, shadow rare**. Most depth comes from the cream-vs-dark surface contrast. Shadows are minimal. The dark surface mockups have their own internal product chrome (code editor scrollbars, line numbers, syntax highlighting) which adds detail without needing external shadows.\n\n### Decorative Depth\n- The Anthropic spike-mark glyph (4-spoke radial asterisk) appears as a small black mark in the brand wordmark and inline as a content marker.\n- Code editor mockups carry their own internal depth: syntax-highlighted text in muted blues / oranges / grays, line numbers in `{colors.muted-soft}`, status bars at the bottom in `{colors.surface-dark-elevated}`.\n- Some hero illustrations use simple line-art with coral and dark-navy strokes on cream — minimal, hand-drawn-feeling, never photorealistic.\n\n## Shapes\n\n### Border Radius Scale\n\n| Token | Value | Use |\n|---|---|---|\n| `{rounded.xs}` | 4px | Reserved for badge accents and tiny dropdowns |\n| `{rounded.sm}` | 6px | Small inline buttons, dropdown items |\n| `{rounded.md}` | 8px | Standard CTA buttons, text inputs, category tabs |\n| `{rounded.lg}` | 12px | Content cards (feature, pricing, code-window, model-comparison) |\n| `{rounded.xl}` | 16px | Hero illustration container, the larger marquee components |\n| `{rounded.pill}` | 9999px | Badge pills, \"NEW\" tags |\n| `{rounded.full}` | 9999px / 50% | Avatar substitutes, icon buttons |\n\n### Photography & Illustrations\nClaude's hero rarely uses photography. Instead it uses:\n- Simple line-art illustrations with coral + dark-navy strokes on the cream canvas\n- Code editor mockups (the dominant \"hero\" treatment on developer-focused pages)\n- Terminal output mockups with monospace text on dark\n- Model comparison cards (Opus / Sonnet / Haiku) with abstract geometric thumbnails\n\nWhen photography is used (rare — mostly testimonials), avatars crop to perfect circles at 40px diameter.\n\n## Components\n\n### Top Navigation\n\n**`top-nav`** — Cream nav bar pinned to the top of every page. 64px tall, `{colors.canvas}` background. Carries the Anthropic spike-mark + \"Claude\" wordmark at left, primary horizontal menu (Product, Solutions, Use Cases, Pricing, Research, Company) center-left, right-side cluster with \"Sign in\" text-link, \"Try Claude\" `{component.button-primary}` (coral). Menu items in `{typography.nav-link}` (StyreneB 14px / 500).\n\n### Buttons\n\n**`button-primary`** — The signature coral CTA. Background `{colors.primary}` (#cc785c), text `{colors.on-primary}` (white), type `{typography.button}` (StyreneB 14px / 500), padding 12px × 20px, height 40px, rounded `{rounded.md}` (8px). Active state `button-primary-active` darkens to `{colors.primary-active}` (#a9583e).\n\n**`button-secondary`** — Cream button with hairline outline. Background `{colors.canvas}`, text `{colors.ink}`, 1px hairline border, same padding + height + radius as primary.\n\n**`button-secondary-on-dark`** — Used over `{colors.surface-dark}` cards. Background `{colors.surface-dark-elevated}` (#252320), text `{colors.on-dark}`. Stays dark — the system never inverts to a light secondary on dark surfaces.\n\n**`button-text-link`** — Inline text button, no background. Used for \"Sign in\" in the top nav and inline CTA links.\n\n**`button-icon-circular`** — 36px circular icon button. Background `{colors.canvas}`, hairline border, ink-color icon. Used for carousel arrows, share, \"view more\".\n\n**`text-link`** — Inline body links in `{colors.primary}` (the coral). Underlined on press; the coral inline link is one of the system's most distinctive small details.\n\n### Cards & Containers\n\n**`hero-band`** — Cream-canvas hero with a 6-6 grid: h1 + sub-headline + button row on the left, hero illustration card or product mockup card on the right. Vertical padding `{spacing.section}` (96px).\n\n**`hero-illustration-card`** — A larger card holding the hero's right-side artifact — sometimes a coral-stroke line illustration on cream background, sometimes a dark code editor mockup. Background `{colors.canvas}` or `{colors.surface-dark}` depending on context, rounded `{rounded.xl}` (16px).\n\n**`feature-card`** — Used in 3-up feature grids. Background `{colors.surface-card}` (#efe9de — slightly darker cream), rounded `{rounded.lg}` (12px), internal padding `{spacing.xl}` (32px). Carries a small icon at top, an `{typography.title-md}` headline, and a body description in `{typography.body-md}`.\n\n**`product-mockup-card-dark`** — Dark navy card showing actual Claude product chrome (chat interface, code editor, agent controls). Background `{colors.surface-dark}`, rounded `{rounded.lg}`, internal padding `{spacing.xl}` (32px). Carries text labels in `{colors.on-dark}` and product UI fragments below.\n\n**`code-window-card`** — A specialized dark card showing a code editor with line numbers, syntax-highlighted code in `{typography.code}` (JetBrains Mono), and sometimes a \"Run\" button or terminal output panel below. Background `{colors.surface-dark}` with `{colors.surface-dark-soft}` for the inner code block, rounded `{rounded.lg}`, padding `{spacing.lg}` (24px). The signature visual element of Claude Code product pages.\n\n**`model-comparison-card`** — Used on the homepage's \"Which problem are you up against?\" section comparing Opus / Sonnet / Haiku. Background `{colors.canvas}` with hairline border, rounded `{rounded.lg}`, internal padding `{spacing.xl}` (32px). Carries the model name, a short capability blurb, and a `{component.text-link}` to learn more.\n\n**`pricing-tier-card`** — Standard tier card. Background `{colors.canvas}` with hairline border, rounded `{rounded.lg}`, padding `{spacing.xl}` (32px). Carries the plan name in `{typography.title-lg}` (StyreneB), price in `{typography.display-sm}` (Copernicus serif!), feature checklist in `{typography.body-md}`, and a `{component.button-primary}` at the bottom.\n\n**`pricing-tier-card-featured`** — The featured tier (typically \"Pro\" or \"Team\"). Background flips to `{colors.surface-dark}`, text inverts to `{colors.on-dark}`. The dark surface IS the featured-tier signal.\n\n**`callout-card-coral`** — A full-bleed coral card carrying a major call-to-action. Background `{colors.primary}` (#cc785c), text `{colors.on-primary}` (white), rounded `{rounded.lg}`, padding `{spacing.xxl}` (48px). The coral surface IS the voltage; the CTA inside uses an inverted button style (cream/canvas button on coral).\n\n**`connector-tile`** — Used on the connectors page's integration grid. Background `{colors.canvas}` with hairline border, rounded `{rounded.lg}`, padding 20px. Each tile carries a logo at top, a `{typography.title-sm}` connector name, and a short description.\n\n### Inputs & Forms\n\n**`text-input`** — Standard text input. Background `{colors.canvas}`, text `{colors.ink}`, type `{typography.body-md}`, rounded `{rounded.md}` (8px), padding 10px × 14px, height 40px. 1px hairline border in `{colors.hairline}`.\n\n**`text-input-focused`** — Focus state. Border thickens or shifts to `{colors.primary}` (coral) for emphasis. Carries a 3px coral-at-15%-alpha outer ring.\n\n**`cookie-consent-card`** — Bottom-right floating dark cookie banner. Background `{colors.surface-dark}`, text `{colors.on-dark}`, rounded `{rounded.lg}`, padding `{spacing.lg}` (24px). One of the few places dark surface appears at small scale on cream pages.\n\n### Tags / Badges\n\n**`badge-pill`** — Small pill label used for category tags. Background `{colors.surface-card}`, text `{colors.ink}`, type `{typography.caption}` (13px / 500), rounded `{rounded.pill}`, padding 4px × 12px.\n\n**`badge-coral`** — Coral-fill badge for \"NEW\", \"BETA\", featured highlights. Background `{colors.primary}`, text `{colors.on-primary}`, type `{typography.caption-uppercase}` (12px / 500 / 1.5px tracking), rounded `{rounded.pill}`, padding 4px × 12px.\n\n### Tab / Filter\n\n**`category-tab`** + **`category-tab-active`** — Used in sub-nav rows on solutions / connectors pages. Inactive: transparent background, `{colors.muted}` text. Active: `{colors.surface-card}` background, `{colors.ink}` text. Padding 8px × 14px, rounded `{rounded.md}`.\n\n### CTA / Footer\n\n**`cta-band-coral`** — A pre-footer \"Try Claude\" CTA card. Full-width coral fill, white type, rounded `{rounded.lg}`, padding 64px. Carries an h2 in `{typography.display-sm}` (still serif!), a sub-line, and a cream-button CTA.\n\n**`cta-band-dark`** — Alternative pre-footer band on developer-focused pages. Background `{colors.surface-dark}`, text `{colors.on-dark}`, rounded `{rounded.lg}`, padding 64px. Often pairs with a code-window card.\n\n**`footer`** — Dark navy footer that closes every page. Background `{colors.surface-dark}` (#181715), text `{colors.on-dark-soft}`. 4-column link list at desktop covering Product / Company / Resources / Legal. Vertical padding 64px. The Anthropic spike-mark + \"Anthropic\" wordmark sits at the top in `{colors.on-dark}`. The footer never inverts.\n\n## Do's and Don'ts\n\n### Do\n- Anchor every page on the cream canvas. Pure white reads as \"any other AI tool\"; the warm tint is the brand differentiator.\n- Use Copernicus serif for every display headline. Pair with StyreneB sans body. Negative letter-spacing on display sizes is non-negotiable.\n- Reserve `{colors.primary}` (coral) for primary CTAs and full-bleed `{component.callout-card-coral}` moments. Don't paint accent moments coral elsewhere.\n- Use `{component.product-mockup-card-dark}` and `{component.code-window-card}` to show actual Claude product chrome. Don't paint marketing illustrations of code when you can show real code.\n- Pair `{component.feature-card}` (cream) with `{component.product-mockup-card-dark}` (navy) in alternating bands. The cream-to-dark rhythm is the brand's pacing mechanism.\n- Use the Anthropic spike-mark glyph as the brand wordmark prefix. Never invert the mark to white-on-dark within the wordmark itself.\n- Apply `{spacing.section}` (96px) between major bands.\n\n### Don't\n- Don't use cool grays or pure white for canvas. Cream is the brand.\n- Don't bold serif display weight. Copernicus at 700 reads as bombastic; the system stays at 400.\n- Don't use cool blue or saturated cyan as a brand accent. The coral is the brand voltage.\n- Don't put coral everywhere. The coral is scarce on individual elements and generous only on full-bleed coral callout cards.\n- Don't use Inter for display headlines. The serif character is the brand voice.\n- Don't repeat the same surface mode in two consecutive bands. The pacing alternates: cream → cream-card → dark-mockup → cream → coral-callout → dark-footer.\n- Don't add hover state styling beyond what the system already encodes — primary darkens on press; nothing else changes.\n\n## Responsive Behavior\n\n### Breakpoints\n\n| Name | Width | Key Changes |\n|---|---|---|\n| Mobile | < 768px | Hamburger nav; hero h1 64→32px; hero-illustration-card stacks below content; feature grids 1-up; connector tiles 2-up; pricing 1-up; footer 4 cols → 1 |\n| Tablet | 768–1024px | Top nav stays horizontal but tightens; feature cards 2-up; connector tiles 3-up; pricing 2-up |\n| Desktop | 1024–1440px | Full top-nav with all menu items; 3-up feature cards; 4-up or 6-up connector tiles; 3-up pricing tiers |\n| Wide | > 1440px | Same as desktop with more outer breathing room; max content width caps at 1200px |\n\n### Touch Targets\n- `{component.button-primary}` at minimum 40 × 40px.\n- `{component.button-icon-circular}` at exactly 36 × 36 — slightly under WCAG 44 but visually centered.\n- `{component.text-input}` height is 40px.\n- Connector tile entire card area is tappable; effective tap area >> 44px.\n\n### Collapsing Strategy\n- Top nav collapses to hamburger at < 768px; menu opens as a full-screen cream sheet.\n- Hero band's 6-6 grid collapses to single-column on mobile — h1 + sub-head + buttons first, then the illustration / mockup card below.\n- Feature grids reduce columns rather than scaling cards down.\n- Pricing tier cards collapse 4 → 2 → 1; featured-tier dark surface stays visually distinct at every breakpoint.\n- Code-window cards retain code legibility at every breakpoint by allowing horizontal scroll within the card rather than wrapping code lines.\n\n### Image Behavior\n- Code blocks inside dark mockups stay at fixed font-size; horizontal scroll on mobile rather than wrapping.\n- Hero illustrations scale proportionally; line-art strokes thin slightly on mobile.\n- Avatar photos in testimonials crop to circles at every breakpoint.\n\n## Iteration Guide\n\n1. Focus on ONE component at a time. Reference its YAML key (`{component.feature-card}`, `{component.code-window-card}`).\n2. Variants of an existing component (`-active`, `-disabled`, `-focused`) live as separate entries in `components:`.\n3. Use `{token.refs}` everywhere — never inline hex.\n4. Never document hover. Default and Active/Pressed states only.\n5. Display headlines stay Copernicus serif 400 with negative tracking. Body stays StyreneB / Inter 400. The split is unbreakable.\n6. Cream + coral + dark navy is the trinity. Don't introduce a fourth surface tone (no purple cards, no green sections).\n7. When in doubt about emphasis: bigger Copernicus serif before bolder weight.\n\n## Known Gaps\n\n- Copernicus and StyreneB are licensed Anthropic typefaces and not available as public web fonts. Substitutes (Tiempos Headline / Cormorant Garamond / EB Garamond for serif; Inter / Söhne for sans) are documented in the typography section.\n- The Anthropic radial-spike-mark is a brand glyph rendered as inline SVG; it's not formalized as a system token here. Treat it as a logo asset.\n- Animation and transition timings (chat message reveal, code block typewriter effect on the homepage, agentic-flow diagram animations) are not in scope.\n- Form validation states beyond `{component.text-input-focused}` are not extracted — error / success states would need a sign-up or feedback flow to confirm.\n- The actual Claude product surface (claude.ai chat interface) shares some tokens with the marketing site but adds many product-specific components (chat bubbles, message tools, file upload chips, conversation history sidebar) that are out of scope for this marketing-surface document.\n- The \"agent\" / \"computer use\" demo cards on certain pages display animated Claude controlling a browser — the static screenshot doesn't fully capture the animation chrome."}],"isError":false}],"role":"user","id":"cc389eff-851a-4f35-8014-b1f4f1ce0370"}},"sourceEventSeqs":[2828],"surfaceOp":"append"} 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API 端点](#4-api-端点)\n11: - [5. 前端架构](#5-前端架构)\n12: - [6. 多 Session 并行流式输出](#6-多-session-并行流式输出)\n13: - [7. 标题生成机制](#7-标题生成机制)\n14: - [8. 模型解析优先级](#8-模型解析优先级)\n15: - [9. 速率限制](#9-速率限制)\n16: - [10. 协作接口预留](#10-协作接口预留)\n17: - [11. Seed 数据](#11-seed-数据)\n18: - [12. 已知问题与后续工作](#12-已知问题与后续工作)\n19: \n20: ---\n21: \n22: ## 1. 设计目标\n23: \n24: 将原本单一的\"agent\"（全局配置 + 硬编码 system prompt）改造为**独立化、可配置的多 agent 架构**，为多 agent 协作做准备。\n25: \n26: ### 核心变更\n27: \n28: | 改造前 | 改造后 |\n29: |--------|--------|\n30: | 全局 system prompt（`/api/agent/system-prompt`） | per-agent `systemPrompt` 字段（DB） |\n31: | 工具集全局共享 | per-agent 工具关联（多对多表） |\n32: | 模型由用户选择 | 模型优先级：用户 preferred > agent.defaultModelId > 全局 fallback |\n33: | 路由 `/api/agent/...` | 路由 `/api/agents/:agentSlug/...` |\n34: | 前端单页 `/` | 前端动态路由 `/chat/:agentSlug` |\n35: | 单 session 流式 | 多 session 并行流式（instance 隔离） |\n36: \n37: ### 兼容性\n38: \n39: - **Breaking change**：旧 API 路径 `/api/agent/...` 已删除\n40: - DB 迁移策略：清库重建（dev 阶段）\n41: - 旧迁移文件全部删除，仅保留单个 `0000_natural_ken_ellis.sql`\n42: \n43: ---\n44: \n45: ## 2. 数据库 Schema\n46: \n47: 文件：`packages/drizzle-pkg/lib/schema/agent.ts`\n48: \n49: ### 2.1 `agents` 表（新增）\n50: \n51: Agent 定义表，每个 agent 是一个独立可配置的 AI 助手。\n52: \n53: | 字段 | 类型 | 默认值 | 说明 |\n54: |------|------|--------|------|\n55: | `id` | integer PK | auto | 主键 |\n56: | `slug` | text(50) unique | - | URL 标识（如 `default`、`coder`） |\n57: | `name` | text(100) | - | 显示名称 |\n58: | `description` | text | null | 描述 |\n59: | `systemPrompt` | text | `\"\"` | 系统提示词 |\n60: | `defaultModelId` | integer | null | 默认模型 ID |\n61: | `titleModelId` | integer | null | 标题生成模型 ID（fallback 到 defaultModelId） |\n62: | `titleStrategy` | text(20) | `\"llm\"` | 标题策略：`llm` / `first-line` / `none` |\n63: | `enableThinking` | integer | `0` | 是否启用思考模式 |\n64: | `enableTools` | integer | `1` | 是否启用工具 |\n65: | `maxStepCount` | integer | `6` | 最大工具调用步数 |\n66: | `isDefault` | integer | `0` | 是否默认 agent（全局唯一） |\n67: | `isCallable` | integer | `0` | 是否可被其他 agent 调用（协作接口） |\n68: | `sortOrder` | integer | `0` | 排序 |\n69: | `enabled` | integer | `1` | 是否启用 |\n70: | `createdAt` / `updatedAt` | timestamp_ms | now | 时间戳 |\n71: \n72: 索引：`agents_enabled_idx`、`agents_sort_order_idx`\n73: \n74: ### 2.2 `agent_tool_associations` 表（新增）\n75: \n76: Agent 与工具的多对多关联表。\n77: \n78: | 字段 | 类型 | 说明 |\n79: |------|------|------|\n80: | `id` | integer PK | 主键 |\n81: | `agentId` | integer FK → agents.id (cascade) | Agent ID |\n82: | `toolId` | text FK → agentTools.id (cascade) | 工具 ID |\n83: | `needsApproval` | integer | 是否需要审批（覆盖工具级配置） |\n84: | `sortOrder` | integer | 排序 |\n85: | `createdAt` | timestamp_ms | 创建时间 |\n86: \n87: 唯一索引：`agent_tool_assoc_uniq(agentId, toolId)`\n88: \n89: ### 2.3 `agent_sessions` 表（改造）\n90: \n91: 新增 `agentId` 外键字段。\n92: \n93: | 新增字段 | 类型 | 说明 |\n94: |----------|------|------|\n95: | `agentId` | integer FK → agents.id (**set null**) | 所属 agent（agent 删除时 session 保留） |\n96: \n97: > `enableThinking` / `enableTools` 改为**可空**（null 表示继承 agent 配置）\n98: \n99: 新增索引：`idx_agent_sessions_agent(agentId)`\n100: \n101: ### 2.4 其他表（未改动）\n102: \n103: - `agent_messages`：消息表\n104: - `agent_message_feedback`：消息反馈表\n105: \n106: ---\n107: \n108: ## 3. 服务端架构\n109: \n110: ### 3.1 目录结构\n111: \n112: ```\n113: server/service/agent/\n114: ├── agent.ts # Agent CRUD + 工具关联查询\n115: ├── chat-engine.ts # 核心聊天引擎（executeChat）\n116: ├── session.ts # Session CRUD + 消息持久化\n117: ├── title.ts # 标题生成（llm / first-line / none）\n118: ├── rate-limit.ts # 速率限制（per-agentSlug 隔离）\n119: ├── abort-manager.ts # 流式中断管理\n120: ├── collaboration.ts # 协作接口 stub（预留）\n121: ├── stream-buffer.ts # 流缓冲（SSE 重连支持）\n122: ├── stored-part.ts # 消息 parts 存储类型\n123: └── types.ts # 类型定义\n124: \n125: server/service/llm/\n126: └── model-resolver.ts # 模型解析（用户/系统/任意）\n127: ```\n128: \n129: ### 3.2 Agent Service (`agent.ts`)\n130: \n131: 核心函数：\n132: \n133: | 函数 | 说明 |\n134: |------|------|\n135: | `getAgentBySlug(slug)` | 按 slug 查询启用的 agent |\n136: | `getAgentBySlugAny(slug)` | 按 slug 查询（含禁用） |\n137: | `getDefaultAgent()` | 获取默认 agent（isDefault=1，fallback 到 sortOrder 最小） |\n138: | `listAgents(onlyEnabled)` | 列出 agent |\n139: | `getAgentWithTools(slug)` | Agent + 关联工具 |\n140: | `getAgentTools(agentId)` | 获取 agent 的工具列表 |\n141: | `createAgent(input)` | 创建 agent（含工具关联 + isDefault 唯一性维护） |\n142: | `updateAgent(id, input)` | 更新 agent（含工具关联重建） |\n143: | `deleteAgent(id)` | 删除 agent（cascade 删关联，session 的 agentId set null） |\n144: \n145: ### 3.3 Chat Engine (`chat-engine.ts`)\n146: \n147: 从原 HTTP handler 中抽离的核心逻辑，函数签名：\n148: \n149: ```typescript\n150: export interface ChatEngineParams {\n151: agent: AgentRow;\n152: session: AgentSessionRow;\n153: user: { id: number; role: string | null } | null;\n154: tempToken: string | null;\n155: body: { content, editMessageId?, regenerate?, ... };\n156: ip: string;\n157: preferredModelId?: number | null;\n158: requestId?: string;\n159: registerAbort: (sessionId, controller) => void;\n160: unregisterAbort: (sessionId) => void;\n161: setRateLimitHeaders?: (headers) => void;\n162: onClientClose?: (cb) => void;\n163: }\n164: \n165: export async function executeChat(params: ChatEngineParams): Promise\n166: ```\n167: \n168: 关键流程：\n169: 1. 速率限制检查（未登录用户）\n170: 2. 模型解析（优先级见 [§8](#8-模型解析优先级)）\n171: 3. 构建 ModelMessage（含历史消息 + 工具调用 parts）\n172: 4. `streamText()` 流式生成\n173: 5. `onFinish` 回调：保存消息 + 触发标题生成（fire-and-forget）\n174: 6. `onAbort` 回调：保存已生成内容\n175: \n176: ### 3.4 Model Resolver (`model-resolver.ts`)\n177: \n178: | 函数 | 说明 |\n179: |------|------|\n180: | `resolveModelForUser(modelId, userId)` | 为用户解析模型（查用户私有 provider） |\n181: | `resolveModelAny(modelId)` | 任意解析（系统级，用于未登录用户） |\n182: | `toLanguageModel(resolved)` | 转换为 AI SDK 的 `LanguageModel` |\n183: | `resolveLanguageModel(provider, modelId)` | 底层：根据 parseMode 创建 OpenAI / OpenAI-Compatible |\n184: \n185: ### 3.5 Rate Limit (`rate-limit.ts`)\n186: \n187: - **Key 隔离**：`${agentSlug}:${sessionId}` / `${agentSlug}:${ip}`\n188: - **限制**：每 session 20 次、每 IP 每日 50 次\n189: - 仅对未登录用户生效\n190: \n191: ### 3.6 Abort Manager (`abort-manager.ts`)\n192: \n193: 全局 `Map`，支持按 session 中断流式生成。\n194: \n195: ---\n196: \n197: ## 4. API 端点\n198: \n199: ### 4.1 Agent 管理\n200: \n201: | 方法 | 路径 | 说明 |\n202: |------|------|------|\n203: | GET | `/api/agents` | 列出所有 agent |\n204: | POST | `/api/agents` | 创建 agent |\n205: | GET | `/api/agents/:agentSlug` | 获取 agent 详情 |\n206: | PUT | `/api/agents/:agentSlug` | 更新 agent |\n207: | DELETE | `/api/agents/:agentSlug` | 删除 agent |\n208: | GET | `/api/agents/:agentSlug/info` | 获取 agent 信息（含工具列表，前端初始化用） |\n209: \n210: ### 4.2 Session 管理\n211: \n212: | 方法 | 路径 | 说明 |\n213: |------|------|------|\n214: | GET | `/api/agents/:agentSlug/sessions` | 列出 session |\n215: | POST | `/api/agents/:agentSlug/sessions` | 创建 session |\n216: | GET | `/api/agents/:agentSlug/sessions/:id` | 获取 session 详情 |\n217: | PUT | `/api/agents/:agentSlug/sessions/:id` | 更新 session（标题等） |\n218: | DELETE | `/api/agents/:agentSlug/sessions/:id` | 删除 session |\n219: | PUT | `/api/agents/:agentSlug/sessions/:id/config` | 更新 session 配置（modelId、enableThinking、enableTools） |\n220: | GET | `/api/agents/:agentSlug/sessions/:id/messages` | 获取 session 消息 |\n221: \n222: ### 4.3 聊天\n223: \n224: | 方法 | 路径 | 说明 |\n225: |------|------|------|\n226: | POST | `/api/agents/:agentSlug/chat` | 发送消息（启动流式） |\n227: | GET | `/api/agents/:agentSlug/chat/stream` | SSE 流（断线重连） |\n228: | POST | `/api/agents/:agentSlug/chat/stop` | 停止生成 |\n229: | POST | `/api/agents/:agentSlug/chat/tool-approve` | 工具审批 |\n230: | POST | `/api/agents/:agentSlug/chat/cleanup-approvals` | 清理审批 |\n231: \n232: ### 4.4 其他\n233: \n234: | 方法 | 路径 | 说明 |\n235: |------|------|------|\n236: | GET | `/api/agents/:agentSlug/models` | 可用模型列表 |\n237: | POST | `/api/agents/:agentSlug/feedback` | 消息反馈 |\n238: | POST | `/api/agents/:agentSlug/migrate` | 旧数据迁移 |\n239: \n240: ### 4.5 已删除的端点\n241: \n242: - `GET /api/agent/system-prompt` — 已废弃（system prompt 在 agent 配置中）\n243: - 所有 `/api/agent/...` 路径\n244: \n245: ### 4.6 鉴权白名单\n246: \n247: 文件：`packages/common/config/index.ts`\n248: \n249: `API_ALLOWLIST` 和 `FRONTEND_PAGE_ALLOWLIST` 已更新，支持 `:agentSlug` 参数匹配。\n250: \n251: `FRONTEND_PAGE_ALLOWLIST` 新增 `/chat/:agentSlug`，允许未登录用户访问聊天页面。\n252: \n253: ---\n254: \n255: ## 5. 前端架构\n256: \n257: ### 5.1 路由\n258: \n259: | 路径 | 说明 |\n260: |------|------|\n261: | `/` | 重定向到 `/chat/default` |\n262: | `/chat/:agentSlug` | Agent 聊天页面 |\n263: \n264: 文件：\n265: - `app/pages/index.vue` — 重定向页\n266: - `app/pages/chat/[agentSlug]/index.vue` — 主聊天页面\n267: \n268: ### 5.2 Composables\n269: \n270: #### `useAgentSessions(agentSlug: string)`\n271: \n272: Session 列表管理，**组件级实例**（非全局）。\n273: \n274: 关键函数：\n275: - `fetchSessions()` — 加载 session 列表\n276: - `createSession()` — 创建新 session\n277: - `newSession()` — 智能创建：若最新 session 为空（`lastActiveAt === createdAt`）则复用，否则创建新的\n278: - `selectSession(id)` — 切换 session\n279: - `deleteSession(id)` — 删除 session\n280: - `touchSessionOrder(id)` — 将 session 移到列表顶部（更新 `lastActiveAt`）\n281: - `refreshSessionTitle(id)` — 从服务端同步标题\n282: \n283: #### `useAgentChatStore(options)`\n284: \n285: 多 session 聊天实例管理，**核心架构**。\n286: \n287: ```\n288: useAgentChatStore\n289: ├── instances: Map # 每个 session 独立实例\n290: ├── currentSessionId: ref\n291: ├── currentInstance: computed → 当前 session 的 instance\n292: └── messages/isLoading/... : computed → 代理到 currentInstance\n293: ```\n294: \n295: 关键设计：\n296: - **每个 session 有独立的 `AgentChatInstance`**（独立的 `messages` ref、`isLoading` ref、`abortController`）\n297: - 切换 session 只是改 `currentSessionId`，旧 instance 的流**继续在后台运行**\n298: - `getInstance(sid)` — 获取/创建 instance\n299: - `removeInstance(sid)` — 停止 + 清除 + 移除 instance\n300: - `stopAll()` — 停止所有 instance 的流（**新建对话时不调用**）\n301: - `getLoadingSessionIds()` — 获取所有正在流式输出的 session\n302: \n303: #### `useAgentChat(options)`\n304: \n305: 单 session 聊天逻辑，**闭包隔离**。\n306: \n307: 关键函数：\n308: - `send(content, opts?)` — 发送消息 + 流式处理\n309: - `processStream(res, assistantIdx)` — SSE 流解析（操作闭包内的 `messages` ref）\n310: - `stopGeneration()` — 停止生成（abort）\n311: - `stopAndSave()` — 停止 + 保存已生成内容\n312: - `loadMessages(sid)` — 加载历史消息\n313: - `respondToApproval(toolCallId, approved)` — 工具审批响应\n314: \n315: ### 5.3 页面组件 (`app/pages/chat/[agentSlug]/index.vue`)\n316: \n317: 关键逻辑：\n318: \n319: ```typescript\n320: // 流完成回调 → 3秒后刷新标题\n321: onStreamComplete: (sid) => {\n322: setTimeout(() => sessions.refreshSessionTitle(sid), 3000);\n323: }\n324: \n325: // 发送消息\n326: async function handleSend(content: string) {\n327: // 1. 确保有 session\n328: // 2. touchSessionOrder(sid) — 先更新 lastActiveAt（避免 newSession 复用）\n329: // 3. await chat.send(content)\n330: // 4. 若是新 session，refreshTitleWithRetry(sid)\n331: }\n332: \n333: // 新建对话\n334: async function handleNewSession() {\n335: // 若当前 session 为空且非 loading → 不创建（复用）\n336: // 否则 newSession()\n337: // 不调用 stopAll() — 其他 session 的流继续运行\n338: }\n339: ```\n340: \n341: ### 5.4 Auth Routes\n342: \n343: 文件：`app/utils/auth-routes.ts`\n344: \n345: `matchesExactOrPrefix` 增强：支持 `:param` 正则匹配（如 `/chat/:agentSlug`）。\n346: \n347: ---\n348: \n349: ## 6. 多 Session 并行流式输出\n350: \n351: ### 设计\n352: \n353: 不同 session 可以**同时**流式输出，新建对话**不会**停止其他 session 的流。\n354: \n355: ### 实现原理\n356: \n357: 1. **Instance 隔离**：每个 session 在 `useAgentChatStore` 中有独立的 `AgentChatInstance`，包含独立的 `messages` ref 和 `abortController`\n358: 2. **闭包捕获**：`processStream` 操作的是 instance 闭包内的 `messages`，不是 store 的 computed\n359: 3. **切换不中断**：`handleNewSession` 不调用 `stopAll()`，旧 session 的 `processStream` promise 继续在后台执行\n360: 4. **数据不串**：切换 session 后，`currentInstance` 指向新 instance，旧 instance 的流写入自己的 `messages` ref\n361: \n362: ### 验证场景\n363: \n364: - 流式输出中点\"新对话\" → 新 session 创建 → 页面切换到空状态 → 旧 session 流继续\n365: - 旧 session 流完成后 → `onStreamComplete(sid)` 触发 → `refreshSessionTitle(sid)` 更新左侧标题\n366: \n367: ---\n368: \n369: ## 7. 标题生成机制\n370: \n371: ### 触发链路\n372: \n373: ```\n374: 用户发送首条消息\n375: → chat-engine.ts onFinish 回调\n376: → generateSessionTitle() (fire-and-forget, .catch())\n377: → 根据 agent.titleStrategy:\n378: - \"none\": 跳过\n379: - \"first-line\": 截取首行（≤50字）\n380: - \"llm\": 调用 titleModelId 生成\n381: → updateSession(sessionId, { title })\n382: ```\n383: \n384: ### 前端同步\n385: \n386: ```\n387: onStreamComplete(sid)\n388: → setTimeout(3s) → refreshSessionTitle(sid) → GET session → 更新 sessions.value 中的 title\n389: ```\n390: \n391: 新 session 额外重试（`refreshTitleWithRetry`）：3s / 6s / 10s / 15s / 22s 多次刷新。\n392: \n393: ### 切换 session 的影响\n394: \n395: - **服务端**：`onFinish` 在服务端触发，与前端无关，标题会正确写入 DB\n396: - **前端**：`onStreamComplete` 在 instance 闭包中，切走 session 后仍会执行；`sessions` ref 是同一组件实例的 ref，`refreshSessionTitle` 仍能找到并更新 session\n397: \n398: **结论：切换 session 不影响标题生成。**\n399: \n400: ---\n401: \n402: ## 8. 模型解析优先级\n403: \n404: ```\n405: 已登录用户:\n406: session.modelId ?? preferredModelId ?? agent.defaultModelId\n407: → resolveModelForUser(modelId, userId)\n408: \n409: 未登录用户:\n410: session.modelId ?? agent.defaultModelId\n411: → resolveModelAny(modelId)\n412: ```\n413: \n414: - `preferredModelId`：用户在前端选择的模型（请求 body 传入）\n415: - `session.modelId`：session 级别持久化的模型选择\n416: - `agent.defaultModelId`：agent 配置的默认模型\n417: \n418: ---\n419: \n420: ## 9. 速率限制\n421: \n422: | 维度 | Key 格式 | 限制 |\n423: |------|----------|------|\n424: | Session | `${agentSlug}:${sessionId}` | 20 次 |\n425: | IP | `${agentSlug}:${ip}` | 50 次/日 |\n426: \n427: - 仅对**未登录用户**生效\n428: - 按 agentSlug 隔离（不同 agent 独立计数）\n429: \n430: ---\n431: \n432: ## 10. 协作接口预留\n433: \n434: 文件：`server/service/agent/collaboration.ts`\n435: \n436: ```typescript\n437: export interface AgentInvocation {\n438: agentSlug: string;\n439: input: string;\n440: context?: { sessionId?: string; userId?: number | null };\n441: }\n442: \n443: export interface AgentInvocationResult {\n444: agentSlug: string;\n445: output: string;\n446: ok: boolean;\n447: error?: string;\n448: }\n449: \n450: export async function invokeAgent(invocation: AgentInvocation): Promise\n451: ```\n452: \n453: 当前为 **stub**，仅校验 agent 存在 + `isCallable` 字段，返回 \"not yet implemented\"。\n454: \n455: `agents.isCallable` 字段控制 agent 是否可被其他 agent 调用。\n456: \n457: ---\n458: \n459: ## 11. Seed 数据\n460: \n461: 文件：`packages/drizzle-pkg/seed.ts`\n462: \n463: ### 管理员账号\n464: \n465: - 用户名：`admin`\n466: - 密码：`123456qaz`\n467: \n468: ### 工具（11 个）\n469: \n470: | ID | Slug | 类型 |\n471: |----|------|------|\n472: | tool_fetch_html | fetch_html | fetch |\n473: | tool_fetch_md | fetch_md | fetch |\n474: | tool_fetch_json | fetch_json | fetch |\n475: | tool_calculator | calculator | calculator |\n476: | tool_datetime | datetime | datetime |\n477: | tool_uuid | uuid | uuid |\n478: | tool_base64 | base64 | base64 |\n479: | tool_json_formatter | json_formatter | json-formatter |\n480: | tool_regex_tester | regex_tester | regex-tester |\n481: | tool_user_info | user_info | user-info |\n482: | tool_search | search | search |\n483: \n484: ### Agent（2 个）\n485: \n486: | Slug | Name | 工具数 | 特性 |\n487: |------|------|--------|------|\n488: | `default` | 默认助手 | 11（全部） | enableThinking=0, maxStepCount=6, isDefault=1, titleStrategy=llm |\n489: | `coder` | 编程助手 | 3（fetch_md, search, regex_tester） | enableThinking=1, maxStepCount=12, isCallable=1, titleStrategy=first-line |\n490: \n491: ---\n492: \n493: ## 12. 已知问题与后续工作\n494: \n495: ### 已完成\n496: \n497: - [x] DB schema 改造 + seed + 清库重建\n498: - [x] Service 层全部改造\n499: - [x] API 端点创建 + 旧目录删除\n500: - [x] 前端路由迁移 + composables 改造\n501: - [x] default + coder agent 端到端验证\n502: - [x] \"输出时新建对话\" bug 修复\n503: - [x] auth-routes `:param` 匹配修复\n504: - [x] fetch 工具 config 解析修复（zod safeParse + fallback）\n505: \n506: ### 待验证\n507: \n508: - [ ] coder agent 端到端测试（工具调用、思考模式）\n509: - [ ] 跨 agent session 访问拒绝（已验证基本逻辑）\n510: - [ ] 多 session 并行流式输出压力测试\n511: \n512: ### 后续工作\n513: \n514: - [ ] Agent 管理后台 UI（CRUD 界面）\n515: - [ ] 协作接口实现（`invokeAgent` 编排逻辑）\n516: - [ ] Agent 级别模型配置 UI\n517: - [ ] 更多 agent 类型（如 researcher、translator）\n\n(End of file - total 517 lines)\n"}]}} +{"type":"tool/result","seq":3082,"time":1786844144561,"data":{"turn":1,"step":10,"message":{"source":{"kind":"tool","callId":"call_00_qbxQ2ZN95oAAAwi3pJ5c3816"},"content":[{"type":"tool-result","toolCallId":"call_00_qbxQ2ZN95oAAAwi3pJ5c3816","content":[{"type":"text","text":"=== docs/agent-architecture.md (lines: 517) ===\n# Agent 独立化架构文档\n\n> 分支：`feat/agent-independence` | Commit：`adeb09a` | 日期：2026-08-09\n\n## 目录\n\n- [1. 设计目标](#1-设计目标)\n- [2. 数据库 Schema](#2-数据库-schema)\n- [3. 服务端架构](#3-服务端架构)\n- [4. API 端点](#4-api-端点)\n- [5. 前端架构](#5-前端架构)\n- [6. 多 Session 并行流式输出](#6-多-session-并行流式输出)\n- [7. 标题生成机制](#7-标题生成机制)\n- [8. 模型解析优先级](#8-模型解析优先级)\n- [9. 速率限制](#9-速率限制)\n- [10. 协作接口预留](#10-协作接口预留)\n- [11. Seed 数据](#11-seed-数据)\n- [12. 已知问题与后续工作](#12-已知问题与后续工作)\n\n---\n\n## 1. 设计目标\n\n将原本单一的\"agent\"（全局配置 + 硬编码 system prompt）改造为**独立化、可配置的多 agent 架构**，为多 agent 协作做准备。\n\n### 核心变更\n\n| 改造前 | 改造后 |\n|--------|--------|\n| 全局 system prompt（`/api/agent/system-prompt`） | per-agent `systemPrompt` 字段（DB） |\n| 工具集全局共享 | per-agent 工具关联（多对多表） |\n| 模型由用户选择 | 模型优先级：用户 preferred > agent.defaultModelId > 全局 fallback |\n| 路由 `/api/agent/...` | 路由 `/api/agents/:agentSlug/...` |\n| 前端单页 `/` | 前端动态路由 `/chat/:agentSlug` |\n| 单 session 流式 | 多 session 并行流式（instance 隔离） |\n\n### 兼容性\n\n- **Breaking change**：旧 API 路径 `/api/agent/...` 已删除\n- DB 迁移策略：清库重建（dev 阶段）\n- 旧迁移文件全部删除，仅保留单个 `0000_natural_ken_ellis.sql`\n\n---\n\n## 2. 数据库 Schema\n\n文件：`packages/drizzle-pkg/lib/schema/agent.ts`\n\n### 2.1 `agents` 表（新增）\n\nAgent 定义表，每个 agent 是一个独立可配置的 AI 助手。\n\n| 字段 | 类型 | 默认值 | 说明 |\n|------|------|--------|------|\n| `id` | integer PK | auto | 主键 |\n| `slug` | text(50) unique | - | URL 标识（如 `default`、`coder`） |\n| `name` | text(100) | - | 显示名称 |\n| `description` | text | null | 描述 |\n| `systemPrompt` | text | `\"\"` | 系统提示词 |\n| `defaultModelId` | integer | null | 默认模型 ID |\n| `titleModelId` | integer | null | 标题生成模型 ID（fallback 到 defaultModelId） |\n| `titleStrategy` | text(20) | `\"llm\"` | 标题策略：`llm` / `first-line` / `none` |\n| `enableThinking` | integer | `0` | 是否启用思考模式 |\n| `enableTools` | integer | `1` | 是否启用工具 |\n| `maxStepCount` | integer | `6` | 最大工具调用步数 |\n| `isDefault` | integer | `0` | 是否默认 agent（全局唯一） |\n| `isCallable` | integer | `0` | 是否可被其他 agent 调用（协作接口） |\n| `sortOrder` | integer | `0` | 排序 |\n| `enabled` | integer | `1` | 是否启用 |\n| `createdAt` / `updatedAt` | timestamp_ms | now | 时间戳 |\n\n索引：`agents_enabled_idx`、`agents_sort_order_idx`\n\n### 2.2 `agent_tool_associations` 表（新增）\n\nAgent 与工具的多对多关联表。\n\n| 字段 | 类型 | 说明 |\n|------|------|------|\n| `id` | integer PK | 主键 |\n| `agentId` | integer FK → agents.id (cascade) | Agent ID |\n| `toolId` | text FK → agentTools.id (cascade) | 工具 ID |\n| `needsApproval` | integer | 是否需要审批（覆盖工具级配置） |\n| `sortOrder` | integer | 排序 |\n| `createdAt` | timestamp_ms | 创建时间 |\n\n唯一索引：`agent_tool_assoc_uniq(agentId, toolId)`\n\n### 2.3 `agent_sessions` 表（改造）\n\n新增 `agentId` 外键字段。\n\n| 新增字段 | 类型 | 说明 |\n|----------|------|------|\n| `agentId` | integer FK → agents.id (**set null**) | 所属 agent（agent 删除时 session 保留） |\n\n> `enableThinking` / `enableTools` 改为**可空**（null 表示继承 agent 配置）\n\n新增索引：`idx_agent_sessions_agent(agentId)`\n\n### 2.4 其他表（未改动）\n\n- `agent_messages`：消息表\n- `agent_message_feedback`：消息反馈表\n\n---\n\n## 3. 服务端架构\n\n### 3.1 目录结构\n\n```\nserver/service/agent/\n├── agent.ts # Agent CRUD + 工具关联查询\n├── chat-engine.ts # 核心聊天引擎（executeChat）\n├── session.ts # Session CRUD + 消息持久化\n├── title.ts # 标题生成（llm / first-line / none）\n├── rate-limit.ts # 速率限制（per-agentSlug 隔离）\n├── abort-manager.ts # 流式中断管理\n├── collaboration.ts # 协作接口 stub（预留）\n├── stream-buffer.ts # 流缓冲（SSE 重连支持）\n├── stored-part.ts # 消息 parts 存储类型\n└── types.ts # 类型定义\n\nserver/service/llm/\n└── model-resolver.ts # 模型解析（用户/系统/任意）\n```\n\n### 3.2 Agent Service (`agent.ts`)\n\n核心函数：\n\n| 函数 | 说明 |\n|------|------|\n| `getAgentBySlug(slug)` | 按 slug 查询启用的 agent |\n| `getAgentBySlugAny(slug)` | 按 slug 查询（含禁用） |\n| `getDefaultAgent()` | 获取默认 agent（isDefault=1，fallback 到 sortOrder 最小） |\n| `listAgents(onlyEnabled)` | 列出 agent |\n| `getAgentWithTools(slug)` | Agent + 关联工具 |\n| `getAgentTools(agentId)` | 获取 agent 的工具列表 |\n| `createAgent(input)` | 创建 agent（含工具关联 + isDefault 唯一性维护） |\n| `updateAgent(id, input)` | 更新 agent（含工具关联重建） |\n| `deleteAgent(id)` | 删除 agent（cascade 删关联，session 的 agentId set null） |\n\n### 3.3 Chat Engine (`chat-engine.ts`)\n\n从原 HTTP handler 中抽离的核心逻辑，函数签名：\n\n```typescript\nexport interface ChatEngineParams {\n agent: AgentRow;\n session: AgentSessionRow;\n user: { id: number; role: string | null } | null;\n tempToken: string | null;\n body: { content, editMessageId?, regenerate?, ... };\n ip: string;\n preferredModelId?: number | null;\n requestId?: string;\n registerAbort: (sessionId, controller) => void;\n unregisterAbort: (sessionId) => void;\n setRateLimitHeaders?: (headers) => void;\n onClientClose?: (cb) => void;\n}\n\nexport async function executeChat(params: ChatEngineParams): Promise\n```\n\n关键流程：\n1. 速率限制检查（未登录用户）\n2. 模型解析（优先级见 [§8](#8-模型解析优先级)）\n3. 构建 ModelMessage（含历史消息 + 工具调用 parts）\n4. `streamText()` 流式生成\n5. `onFinish` 回调：保存消息 + 触发标题生成（fire-and-forget）\n6. `onAbort` 回调：保存已生成内容\n\n### 3.4 Model Resolver (`model-resolver.ts`)\n\n| 函数 | 说明 |\n|------|------|\n| `resolveModelForUser(modelId, userId)` | 为用户解析模型（查用户私有 provider） |\n| `resolveModelAny(modelId)` | 任意解析（系统级，用于未登录用户） |\n| `toLanguageModel(resolved)` | 转换为 AI SDK 的 `LanguageModel` |\n| `resolveLanguageModel(provider, modelId)` | 底层：根据 parseMode 创建 OpenAI / OpenAI-Compatible |\n\n### 3.5 Rate Limit (`rate-limit.ts`)\n\n- **Key 隔离**：`${agentSlug}:${sessionId}` / `${agentSlug}:${ip}`\n- **限制**：每 session 20 次、每 IP 每日 50 次\n- 仅对未登录用户生效\n\n### 3.6 Abort Manager (`abort-manager.ts`)\n\n全局 `Map`，支持按 session 中断流式生成。\n\n---\n\n## 4. API 端点\n\n### 4.1 Agent 管理\n\n| 方法 | 路径 | 说明 |\n|------|------|------|\n| GET | `/api/agents` | 列出所有 agent |\n| POST | `/api/agents` | 创建 agent |\n| GET | `/api/agents/:agentSlug` | 获取 agent 详情 |\n| PUT | `/api/agents/:agentSlug` | 更新 agent |\n| DELETE | `/api/agents/:agentSlug` | 删除 agent |\n| GET | `/api/agents/:agentSlug/info` | 获取 agent 信息（含工具列表，前端初始化用） |\n\n### 4.2 Session 管理\n\n| 方法 | 路径 | 说明 |\n|------|------|------|\n| GET | `/api/agents/:agentSlug/sessions` | 列出 session |\n| POST | `/api/agents/:agentSlug/sessions` | 创建 session |\n| GET | `/api/agents/:agentSlug/sessions/:id` | 获取 session 详情 |\n| PUT | `/api/agents/:agentSlug/sessions/:id` | 更新 session（标题等） |\n| DELETE | `/api/agents/:agentSlug/sessions/:id` | 删除 session |\n| PUT | `/api/agents/:agentSlug/sessions/:id/config` | 更新 session 配置（modelId、enableThinking、enableTools） |\n| GET | `/api/agents/:agentSlug/sessions/:id/messages` | 获取 session 消息 |\n\n### 4.3 聊天\n\n| 方法 | 路径 | 说明 |\n|------|------|------|\n| POST | `/api/agents/:agentSlug/chat` | 发送消息（启动流式） |\n| GET | `/api/agents/:agentSlug/chat/stream` | SSE 流（断线重连） |\n| POST | `/api/agents/:agentSlug/chat/stop` | 停止生成 |\n| POST | `/api/agents/:agentSlug/chat/tool-approve` | 工具审批 |\n| POST | `/api/agents/:agentSlug/chat/cleanup-approvals` | 清理审批 |\n\n### 4.4 其他\n\n| 方法 | 路径 | 说明 |\n|------|------|------|\n| GET | `/api/agents/:agentSlug/models` | 可用模型列表 |\n| POST | `/api/agents/:agentSlug/feedback` | 消息反馈 |\n| POST | `/api/agents/:agentSlug/migrate` | 旧数据迁移 |\n\n### 4.5 已删除的端点\n\n- `GET /api/agent/system-prompt` — 已废弃（system prompt 在 agent 配置中）\n- 所有 `/api/agent/...` 路径\n\n### 4.6 鉴权白名单\n\n文件：`packages/common/config/index.ts`\n\n`API_ALLOWLIST` 和 `FRONTEND_PAGE_ALLOWLIST` 已更新，支持 `:agentSlug` 参数匹配。\n\n`FRONTEND_PAGE_ALLOWLIST` 新增 `/chat/:agentSlug`，允许未登录用户访问聊天页面。\n\n---\n\n## 5. 前端架构\n\n### 5.1 路由\n\n| 路径 | 说明 |\n|------|------|\n| `/` | 重定向到 `/chat/default` |\n| `/chat/:agentSlug` | Agent 聊天页面 |\n\n文件：\n- `app/pages/index.vue` — 重定向页\n- `app/pages/chat/[agentSlug]/index.vue` — 主聊天页面\n\n### 5.2 Composables\n\n#### `useAgentSessions(agentSlug: string)`\n\nSession 列表管理，**组件级实例**（非全局）。\n\n关键函数：\n- `fetchSessions()` — 加载 session 列表\n- `createSession()` — 创建新 session\n- `newSession()` — 智能创建：若最新 session 为空（`lastActiveAt === createdAt`）则复用，否则创建新的\n- `selectSession(id)` — 切换 session\n- `deleteSession(id)` — 删除 session\n- `touchSessionOrder(id)` — 将 session 移到列表顶部（更新 `lastActiveAt`）\n- `refreshSessionTitle(id)` — 从服务端同步标题\n\n#### `useAgentChatStore(options)`\n\n多 session 聊天实例管理，**核心架构**。\n\n```\nuseAgentChatStore\n├── instances: Map # 每个 session 独立实例\n├── currentSessionId: ref\n├── currentInstance: computed → 当前 session 的 instance\n└── messages/isLoading/... : computed → 代理到 currentInstance\n```\n\n关键设计：\n- **每个 session 有独立的 `AgentChatInstance`**（独立的 `messages` ref、`isLoading` ref、`abortController`）\n- 切换 session 只是改 `currentSessionId`，旧 instance 的流**继续在后台运行**\n- `getInstance(sid)` — 获取/创建 instance\n- `removeInstance(sid)` — 停止 + 清除 + 移除 instance\n- `stopAll()` — 停止所有 instance 的流（**新建对话时不调用**）\n- `getLoadingSessionIds()` — 获取所有正在流式输出的 session\n\n#### `useAgentChat(options)`\n\n单 session 聊天逻辑，**闭包隔离**。\n\n关键函数：\n- `send(content, opts?)` — 发送消息 + 流式处理\n- `processStream(res, assistantIdx)` — SSE 流解析（操作闭包内的 `messages` ref）\n- `stopGeneration()` — 停止生成（abort）\n- `stopAndSave()` — 停止 + 保存已生成内容\n- `loadMessages(sid)` — 加载历史消息\n- `respondToApproval(toolCallId, approved)` — 工具审批响应\n\n### 5.3 页面组件 (`app/pages/chat/[agentSlug]/index.vue`)\n\n关键逻辑：\n\n```typescript\n// 流完成回调 → 3秒后刷新标题\nonStreamComplete: (sid) => {\n setTimeout(() => sessions.refreshSessionTitle(sid), 3000);\n}\n\n// 发送消息\nasync function handleSend(content: string) {\n // 1. 确保有 session\n // 2. touchSessionOrder(sid) — 先更新 lastActiveAt（避免 newSession 复用）\n // 3. await chat.send(content)\n // 4. 若是新 session，refreshTitleWithRetry(sid)\n}\n\n// 新建对话\nasync function handleNewSession() {\n // 若当前 session 为空且非 loading → 不创建（复用）\n // 否则 newSession()\n // 不调用 stopAll() — 其他 session 的流继续运行\n}\n```\n\n### 5.4 Auth Routes\n\n文件：`app/utils/auth-routes.ts`\n\n`matchesExactOrPrefix` 增强：支持 `:param` 正则匹配（如 `/chat/:agentSlug`）。\n\n---\n\n## 6. 多 Session 并行流式输出\n\n### 设计\n\n不同 session 可以**同时**流式输出，新建对话**不会**停止其他 session 的流。\n\n### 实现原理\n\n1. **Instance 隔离**：每个 session 在 `useAgentChatStore` 中有独立的 `AgentChatInstance`，包含独立的 `messages` ref 和 `abortController`\n2. **闭包捕获**：`processStream` 操作的是 instance 闭包内的 `messages`，不是 store 的 computed\n3. **切换不中断**：`handleNewSession` 不调用 `stopAll()`，旧 session 的 `processStream` promise 继续在后台执行\n4. **数据不串**：切换 session 后，`currentInstance` 指向新 instance，旧 instance 的流写入自己的 `messages` ref\n\n### 验证场景\n\n- 流式输出中点\"新对话\" → 新 session 创建 → 页面切换到空状态 → 旧 session 流继续\n- 旧 session 流完成后 → `onStreamComplete(sid)` 触发 → `refreshSessionTitle(sid)` 更新左侧标题\n\n---\n\n## 7. 标题生成机制\n\n### 触发链路\n\n```\n用户发送首条消息\n → chat-engine.ts onFinish 回调\n → generateSessionTitle() (fire-and-forget, .catch())\n → 根据 agent.titleStrategy:\n - \"none\": 跳过\n - \"first-line\": 截取首行（≤50字）\n - \"llm\": 调用 titleModelId 生成\n → updateSession(sessionId, { title })\n```\n\n### 前端同步\n\n```\nonStreamComplete(sid)\n → setTimeout(3s) → refreshSessionTitle(sid) → GET session → 更新 sessions.value 中的 title\n```\n\n新 session 额外重试（`refreshTitleWithRetry`）：3s / 6s / 10s / 15s / 22s 多次刷新。\n\n### 切换 session 的影响\n\n- **服务端**：`onFinish` 在服务端触发，与前端无关，标题会正确写入 DB\n- **前端**：`onStreamComplete` 在 instance 闭包中，切走 session 后仍会执行；`sessions` ref 是同一组件实例的 ref，`refreshSessionTitle` 仍能找到并更新 session\n\n**结论：切换 session 不影响标题生成。**\n\n---\n\n## 8. 模型解析优先级\n\n```\n已登录用户:\n session.modelId ?? preferredModelId ?? agent.defaultModelId\n → resolveModelForUser(modelId, userId)\n\n未登录用户:\n session.modelId ?? agent.defaultModelId\n → resolveModelAny(modelId)\n```\n\n- `preferredModelId`：用户在前端选择的模型（请求 body 传入）\n- `session.modelId`：session 级别持久化的模型选择\n- `agent.defaultModelId`：agent 配置的默认模型\n\n---\n\n## 9. 速率限制\n\n| 维度 | Key 格式 | 限制 |\n|------|----------|------|\n| Session | `${agentSlug}:${sessionId}` | 20 次 |\n| IP | `${agentSlug}:${ip}` | 50 次/日 |\n\n- 仅对**未登录用户**生效\n- 按 agentSlug 隔离（不同 agent 独立计数）\n\n---\n\n## 10. 协作接口预留\n\n文件：`server/service/agent/collaboration.ts`\n\n```typescript\nexport interface AgentInvocation {\n agentSlug: string;\n input: string;\n context?: { sessionId?: string; userId?: number | null };\n}\n\nexport interface AgentInvocationResult {\n agentSlug: string;\n output: string;\n ok: boolean;\n error?: string;\n}\n\nexport async function invokeAgent(invocation: AgentInvocation): Promise\n```\n\n当前为 **stub**，仅校验 agent 存在 + `isCallable` 字段，返回 \"not yet implemented\"。\n\n`agents.isCallable` 字段控制 agent 是否可被其他 agent 调用。\n\n---\n\n## 11. Seed 数据\n\n文件：`packages/drizzle-pkg/seed.ts`\n\n### 管理员账号\n\n- 用户名：`admin`\n- 密码：`123456qaz`\n\n### 工具（11 个）\n\n| ID | Slug | 类型 |\n|----|------|------|\n| tool_fetch_html | fetch_html | fetch |\n| tool_fetch_md | fetch_md | fetch |\n| tool_fetch_json | fetch_json | fetch |\n| tool_calculator | calculator | calculator |\n| tool_datetime | datetime | datetime |\n| tool_uuid | uuid | uuid |\n| tool_base64 | base64 | base64 |\n| tool_json_formatter | json_formatter | json-formatter |\n| tool_regex_tester | regex_tester | regex-tester |\n| tool_user_info | user_info | user-info |\n| tool_search | search | search |\n\n### Agent（2 个）\n\n| Slug | Name | 工具数 | 特性 |\n|------|------|--------|------|\n| `default` | 默认助手 | 11（全部） | enableThinking=0, maxStepCount=6, isDefault=1, titleStrategy=llm |\n| `coder` | 编程助手 | 3（fetch_md, search, regex_tester） | enableThinking=1, maxStepCount=12, isCallable=1, titleStrategy=first-line |\n\n---\n\n## 12. 已知问题与后续工作\n\n### 已完成\n\n- [x] DB schema 改造 + seed + 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There's already:\n1. An `agents` table with `systemPrompt`, `description`, `name`, etc. — this is essentially the \"角色卡\" (character card) foundation.\n2. An agent chat system with sessions and messages.\n3. Admin pages for agents CRUD (`app/pages/admin/agents/`).\n4. An \"agent-card\" A2A converter.\n\nThe user's request: \"分析该模块如何加入角色卡设计，角色可以单独生成对话，上下文自主设计\"\n\nTranslation: \"Analyze how this module can add character card (角色卡) design, where characters can independently generate conversations, and context is autonomously designed.\"\n\nSo the user wants an analysis of:\n1. How to add 角色卡 (character card) design to this module\n2. Characters (roles) can independently generate conversations (单独生成对话)\n3. Context autonomously designed (上下文自主设计)\n\nThis is an analysis/research task, not an implementation task. The user says \"分析\" (analyze). So I should provide a thorough analysis and design proposal, not modify code.\n\nLet me understand what \"角色卡\" (character card) means in the AI context. It's the SillyTavern / TavernAI \"character card\" concept — a JSON/PNG card that defines a role-play character with fields like:\n- name (角色名)\n- description (角色描述)\n- personality (性格)\n- scenario (场景/背景)\n- first_mes (开场白/首条消息)\n- mes_example (对话示例)\n- system_prompt / persona\n- greeting\n- avatar (头像)\n\nThe key phrase \"角色可以单独生成对话\" (characters can independently generate conversations) means: each character/role has its own conversation, and can autonomously drive conversation (self-chat / auto-reply). \"上下文自主设计\" (context autonomously designed) means: the context/persona/background is self-contained and configurable — the user designs the context, and the character acts within it.\n\nSo the analysis needs to cover:\n1. Current state: The `agents` table is essentially the foundation of 角色卡, but it's currently \"assistant\" oriented (generic AI assistants like `default` and `coder`). It lacks character-card-specific fields (personality, scenario, first message/greeting, dialogue examples, avatar).\n2. How to add 角色卡 design:\n - Extend schema with character-card fields (personality, scenario, firstMessage/greeting, exampleDialogue, avatar, etc.)\n - UI: a card designer/editor page\n - The card can be rendered as a visual card (like a trading card) in the welcome screen and sidebar.\n3. 角色可以单独生成对话 (characters independently generate conversations):\n - Currently conversation is user-driven. \"单独生成对话\" could mean: (a) each character has its own isolated conversation thread (already supported via agent_sessions), or (b) the character can autonomously generate dialogue — i.e., self-driven conversation / auto-continuation, greeting message generation, proactive messaging.\n4. 上下文自主设计 (context autonomously designed):\n - The context (system prompt, persona, scenario) is configurable per character, and the character stays in-character. This is the \"system prompt template\" concept where persona/scenario/example dialogue are assembled into the system prompt.\n\nLet me look at the remaining relevant files to fully understand:\n1. The admin agents page (`app/pages/admin/agents/[slug].vue`) — the current agent designer UI\n2. The admin agents index (`app/pages/admin/agents/index.vue`)\n3. The AgentWelcome component — the welcome screen (where a character card could be shown)\n4. The chat page (`app/pages/chat/[agentSlug]/index.vue`)\n5. The session service (`server/service/agent/session.ts`)\n6. The title service and the seed.ts\n\nLet me also check the admin agent-config page and the agent index.get route to understand what fields are exposed.\n\nLet me read these files."}}}} +{"type":"assistant/chunk","seq":4085,"time":1786844156278,"data":{"turn":1,"step":11,"chunk":{"type":"block-end","index":1,"block":{"type":"tool-call","id":"call_00_yVegwGYDvSEUBMz9BD3R0051","name":"run_code","arguments":"{\"code\": \"\\nasync function readFull(path) {\\n const r = await tools.read({ file_path: path });\\n return r.lines.map(l => l.text).join(\\\"\\\\n\\\");\\n}\\n\\nfor (const p of [\\n \\\"app/pages/admin/agents/[slug].vue\\\",\\n \\\"app/pages/admin/agents/index.vue\\\",\\n]) {\\n console.log(`\\\\n========== ${p} ==========`);\\n const c = await readFull(p);\\n console.log(\\\"(lines: \\\" + c.split(\\\"\\\\n\\\").length + \\\")\\\");\\n console.log(c);\\n}\\n\", \"description\": \"Read admin agents pages\"}"}}}} +{"type":"assistant/chunk","seq":4086,"time":1786844156278,"data":{"turn":1,"step":11,"chunk":{"type":"usage","usage":{"inputTokens":5262,"outputTokens":1038,"cacheReadTokens":60288,"reasoningTokens":859}}}} +{"type":"assistant/chunk","seq":4087,"time":1786844156278,"data":{"turn":1,"step":11,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}} +{"type":"assistant/message","seq":4088,"time":1786844156279,"data":{"turn":1,"step":11,"message":{"role":"assistant","content":[{"type":"reasoning","text":"Now I have a very complete picture. There's already:\n1. An `agents` table with `systemPrompt`, `description`, `name`, etc. — this is essentially the \"角色卡\" (character card) foundation.\n2. An agent chat system with sessions and messages.\n3. Admin pages for agents CRUD (`app/pages/admin/agents/`).\n4. An \"agent-card\" A2A converter.\n\nThe user's request: \"分析该模块如何加入角色卡设计，角色可以单独生成对话，上下文自主设计\"\n\nTranslation: \"Analyze how this module can add character card (角色卡) design, where characters can independently generate conversations, and context is autonomously designed.\"\n\nSo the user wants an analysis of:\n1. How to add 角色卡 (character card) design to this module\n2. Characters (roles) can independently generate conversations (单独生成对话)\n3. Context autonomously designed (上下文自主设计)\n\nThis is an analysis/research task, not an implementation task. The user says \"分析\" (analyze). So I should provide a thorough analysis and design proposal, not modify code.\n\nLet me understand what \"角色卡\" (character card) means in the AI context. It's the SillyTavern / TavernAI \"character card\" concept — a JSON/PNG card that defines a role-play character with fields like:\n- name (角色名)\n- description (角色描述)\n- personality (性格)\n- scenario (场景/背景)\n- first_mes (开场白/首条消息)\n- mes_example (对话示例)\n- system_prompt / persona\n- greeting\n- avatar (头像)\n\nThe key phrase \"角色可以单独生成对话\" (characters can independently generate conversations) means: each character/role has its own conversation, and can autonomously drive conversation (self-chat / auto-reply). \"上下文自主设计\" (context autonomously designed) means: the context/persona/background is self-contained and configurable — the user designs the context, and the character acts within it.\n\nSo the analysis needs to cover:\n1. Current state: The `agents` table is essentially the foundation of 角色卡, but it's currently \"assistant\" oriented (generic AI assistants like `default` and `coder`). It lacks character-card-specific fields (personality, scenario, first message/greeting, dialogue examples, avatar).\n2. How to add 角色卡 design:\n - Extend schema with character-card fields (personality, scenario, firstMessage/greeting, exampleDialogue, avatar, etc.)\n - UI: a card designer/editor page\n - The card can be rendered as a visual card (like a trading card) in the welcome screen and sidebar.\n3. 角色可以单独生成对话 (characters independently generate conversations):\n - Currently conversation is user-driven. \"单独生成对话\" could mean: (a) each character has its own isolated conversation thread (already supported via agent_sessions), or (b) the character can autonomously generate dialogue — i.e., self-driven conversation / auto-continuation, greeting message generation, proactive messaging.\n4. 上下文自主设计 (context autonomously designed):\n - The context (system prompt, persona, scenario) is configurable per character, and the character stays in-character. This is the \"system prompt template\" concept where persona/scenario/example dialogue are assembled into the system prompt.\n\nLet me look at the remaining relevant files to fully understand:\n1. The admin agents page (`app/pages/admin/agents/[slug].vue`) — the current agent designer UI\n2. The admin agents index (`app/pages/admin/agents/index.vue`)\n3. The AgentWelcome component — the welcome screen (where a character card could be shown)\n4. The chat page (`app/pages/chat/[agentSlug]/index.vue`)\n5. The session service (`server/service/agent/session.ts`)\n6. 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= text.split(\"\\n\")[0]?.trim() ?? \"\";\n16: if (firstLine.length <= FIRST_LINE_MAX_LENGTH) return firstLine;\n17: return firstLine.slice(0, FIRST_LINE_MAX_LENGTH) + \"…\";\n18: }\n19: \n20: export async function generateSessionTitle(params: {\n21: sessionId: string;\n22: agent: AgentRow;\n23: firstUserMessage: string;\n24: firstAssistantMessage: string;\n25: userId: number | null;\n26: }): Promise {\n27: const { sessionId, agent, firstUserMessage, firstAssistantMessage, userId } = params;\n28: const strategy: TitleStrategy = (agent.titleStrategy as TitleStrategy) ?? \"llm\";\n29: \n30: if (strategy === \"none\") {\n31: return;\n32: }\n33: \n34: if (strategy === \"first-line\") {\n35: const title = truncateFirstLine(firstUserMessage);\n36: if (title) {\n37: await updateSession(sessionId, { title });\n38: logger.info(\"[AGENT-TITLE] first-line sessionId=%s title=%s\", sessionId, title);\n39: }\n40: return;\n41: }\n42: \n43: try {\n44: const titleModelId = agent.titleModelId ?? agent.defaultModelId;\n45: if (!titleModelId) {\n46: logger.warn(\"[AGENT-TITLE] no titleModelId/defaultModelId for agent=%s, fallback to first-line\", agent.slug);\n47: const title = truncateFirstLine(firstUserMessage);\n48: if (title) await updateSession(sessionId, { title });\n49: return;\n50: }\n51: \n52: const resolved = await resolveModelForUser(titleModelId, userId);\n53: if (!resolved) {\n54: logger.warn(\"[AGENT-TITLE] titleModelId=%d not resolvable, fallback to first-line\", titleModelId);\n55: const title = truncateFirstLine(firstUserMessage);\n56: if (title) await updateSession(sessionId, { title });\n57: return;\n58: }\n59: \n60: const languageModel: LanguageModel = toLanguageModel(resolved);\n61: \n62: const prompt = `请根据以下对话生成一个简短的标题（不超过20个字，不要加引号、不要加书名号）：\n63: \n64: 用户: ${firstUserMessage.slice(0, 500)}\n65: 助手: ${firstAssistantMessage.slice(0, 500)}\n66: \n67: 标题:`;\n68: \n69: const result = await generateText({\n70: model: languageModel,\n71: prompt,\n72: maxOutputTokens: 200,\n73: });\n74: \n75: const title = result.text.trim().slice(0, 100);\n76: \n77: if (title) {\n78: await updateSession(sessionId, { title });\n79: logger.info(\"[AGENT-TITLE] llm sessionId=%s title=%s\", sessionId, title);\n80: }\n81: } catch (err) {\n82: logger.error(\"[AGENT-TITLE] sessionId=%s error: %s\", sessionId, err instanceof Error ? err.message : String(err));\n83: }\n84: }\n\n(End of file - total 84 lines)\n"}]}} +{"type":"tool/result","seq":4380,"time":1786844162406,"data":{"turn":1,"step":12,"message":{"source":{"kind":"tool","callId":"call_00_FdzsfC2qf7gU2ieFuM4U9155"},"content":[{"type":"tool-result","toolCallId":"call_00_FdzsfC2qf7gU2ieFuM4U9155","content":[{"type":"text","text":"\n========== app/components/agent/AgentWelcome.vue ==========\n(lines: 134)\n\n\n\n\n\n\n========== server/service/agent/title.ts ==========\n(lines: 84)\nimport { generateText } from \"ai\";\nimport { type LanguageModel } from \"ai\";\nimport { resolveModelForUser, resolveModelAny, toLanguageModel } from \"#server/service/llm/model-resolver\";\nimport { updateSession } from \"./session\";\nimport type { AgentRow } from \"./agent\";\nimport log4js from \"logger\";\n\nconst logger = log4js.getLogger(\"APP\");\n\nconst FIRST_LINE_MAX_LENGTH = 50;\n\nexport type TitleStrategy = \"llm\" | \"first-line\" | \"none\";\n\nexport function truncateFirstLine(text: string): string {\n const firstLine = text.split(\"\\n\")[0]?.trim() ?? \"\";\n if (firstLine.length <= FIRST_LINE_MAX_LENGTH) return firstLine;\n return firstLine.slice(0, FIRST_LINE_MAX_LENGTH) + \"…\";\n}\n\nexport async function generateSessionTitle(params: {\n sessionId: string;\n agent: AgentRow;\n firstUserMessage: string;\n firstAssistantMessage: string;\n userId: number | null;\n}): Promise {\n const { sessionId, agent, firstUserMessage, firstAssistantMessage, userId } = params;\n const strategy: TitleStrategy = (agent.titleStrategy as TitleStrategy) ?? \"llm\";\n\n if (strategy === 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systemPrompt?: string | null;\n14: expiresAt?: Date | null;\n15: }): Promise {\n16: const id = `as_${Date.now().toString(36)}_${Math.random().toString(36).slice(2, 10)}`;\n17: const [row] = await dbGlobal\n18: .insert(agentSessions)\n19: .values({\n20: id,\n21: userId: params.userId ?? null,\n22: tempToken: params.tempToken ?? null,\n23: agentId: params.agentId ?? null,\n24: modelId: params.modelId ?? null,\n25: enableThinking: params.enableThinking ?? null,\n26: enableTools: params.enableTools ?? null,\n27: systemPrompt: params.systemPrompt ?? null,\n28: expiresAt: params.expiresAt ?? null,\n29: })\n30: .returning();\n31: return row!;\n32: }\n33: \n34: export async function getSessionById(id: string): Promise {\n35: const [row] = await dbGlobal\n36: .select()\n37: .from(agentSessions)\n38: .where(and(eq(agentSessions.id, id), isNull(agentSessions.deletedAt)))\n39: .limit(1);\n40: return row ?? null;\n41: }\n42: \n43: export async function getSessionByIdAndUser(\n44: id: string,\n45: userId: number | null,\n46: tempToken: string | null,\n47: ): Promise {\n48: const conditions = [eq(agentSessions.id, id), isNull(agentSessions.deletedAt)];\n49: if (userId) {\n50: conditions.push(eq(agentSessions.userId, userId));\n51: } else if (tempToken) {\n52: conditions.push(eq(agentSessions.tempToken, tempToken));\n53: } else {\n54: return null;\n55: }\n56: const [row] = await dbGlobal\n57: .select()\n58: .from(agentSessions)\n59: .where(and(...conditions))\n60: .limit(1);\n61: return row ?? null;\n62: }\n63: \n64: export async function listSessions(params: {\n65: userId?: number | null;\n66: tempToken?: string | null;\n67: agentId?: number | null;\n68: page?: number;\n69: pageSize?: number;\n70: }): Promise<{ list: AgentSessionRow[]; total: number; page: number; pageSize: number; totalPages: number }> {\n71: const { page = 1, pageSize = 30 } = params;\n72: const conditions = [isNull(agentSessions.deletedAt)];\n73: if (params.userId) {\n74: conditions.push(eq(agentSessions.userId, params.userId));\n75: } else if (params.tempToken) {\n76: conditions.push(eq(agentSessions.tempToken, params.tempToken));\n77: } else {\n78: return { list: [], total: 0, page, pageSize, totalPages: 0 };\n79: }\n80: if (params.agentId) {\n81: conditions.push(eq(agentSessions.agentId, params.agentId));\n82: }\n83: \n84: const where = and(...conditions);\n85: \n86: const [countResult] = await dbGlobal\n87: .select({ count: sql`count(*)` })\n88: .from(agentSessions)\n89: .where(where);\n90: const total = countResult?.count ?? 0;\n91: const totalPages = Math.ceil(total / pageSize);\n92: \n93: const list = await dbGlobal\n94: .select()\n95: .from(agentSessions)\n96: .where(where)\n97: .orderBy(desc(agentSessions.lastActiveAt))\n98: .limit(pageSize)\n99: .offset((page - 1) * pageSize);\n100: \n101: return { list, total, page, pageSize, totalPages };\n102: }\n103: \n104: export async function updateSession(\n105: id: string,\n106: data: {\n107: title?: string;\n108: agentId?: number | null;\n109: modelId?: number | null;\n110: enableThinking?: number | null;\n111: enableTools?: number | null;\n112: systemPrompt?: string | null;\n113: lastActiveAt?: Date;\n114: },\n115: ): Promise {\n116: const updates: Record = {};\n117: if (data.title !== undefined) updates.title = data.title;\n118: if (data.agentId !== undefined) updates.agentId = data.agentId;\n119: if (data.modelId !== undefined) updates.modelId = data.modelId;\n120: if (data.enableThinking !== undefined) updates.enableThinking = data.enableThinking;\n121: if (data.enableTools !== undefined) updates.enableTools = data.enableTools;\n122: if (data.systemPrompt !== undefined) updates.systemPrompt = data.systemPrompt;\n123: if (data.lastActiveAt !== undefined) updates.lastActiveAt = data.lastActiveAt;\n124: if (Object.keys(updates).length === 0) return;\n125: await dbGlobal.update(agentSessions).set(updates).where(eq(agentSessions.id, id));\n126: }\n127: \n128: export async function softDeleteSession(id: string): Promise {\n129: await dbGlobal\n130: .update(agentSessions)\n131: .set({ deletedAt: new Date() })\n132: .where(eq(agentSessions.id, id));\n133: }\n134: \n135: export async function getMessagesBySession(\n136: sessionId: string,\n137: params?: { before?: number; limit?: number; latest?: boolean; userId?: number | null },\n138: ): Promise {\n139: const { before, limit = 50, latest = false, userId = null } = params ?? {};\n140: const conditions = [eq(agentMessages.sessionId, sessionId)];\n141: if (before !== undefined) {\n142: conditions.push(lt(agentMessages.sortOrder, before));\n143: }\n144: \n145: const baseQuery = () =>\n146: dbGlobal\n147: .select({\n148: message: agentMessages,\n149: feedback: agentMessageFeedback.feedback,\n150: })\n151: .from(agentMessages)\n152: .leftJoin(\n153: agentMessageFeedback,\n154: and(\n155: eq(agentMessageFeedback.messageId, agentMessages.id),\n156: userId ? eq(agentMessageFeedback.userId, userId) : sql`false`,\n157: ),\n158: )\n159: .where(and(...conditions));\n160: \n161: if (latest) {\n162: const rows = await baseQuery()\n163: .orderBy(desc(agentMessages.sortOrder))\n164: .limit(limit);\n165: const reversed = rows.reverse();\n166: return reversed.map((r) => ({\n167: ...r.message,\n168: feedback: (r.feedback ?? null) as \"like\" | \"dislike\" | null,\n169: }));\n170: }\n171: const rows = await baseQuery()\n172: .orderBy(asc(agentMessages.sortOrder))\n173: .limit(limit);\n174: return rows.map((r) => ({\n175: ...r.message,\n176: feedback: (r.feedback ?? null) as \"like\" | \"dislike\" | null,\n177: }));\n178: }\n179: \n180: export async function getMaxSortOrder(sessionId: string): Promise {\n181: const [result] = await dbGlobal\n182: .select({ maxSort: max(agentMessages.sortOrder) })\n183: .from(agentMessages)\n184: .where(eq(agentMessages.sessionId, sessionId));\n185: return result?.maxSort ?? 0;\n186: }\n187: \n188: export async function saveMessage(params: {\n189: sessionId: string;\n190: role: string;\n191: content: string;\n192: parts?: string | null;\n193: modelId?: number | null;\n194: inputTokens?: number | null;\n195: outputTokens?: number | null;\n196: sortOrder: number;\n197: }): Promise {\n198: const id = `am_${Date.now().toString(36)}_${Math.random().toString(36).slice(2, 10)}`;\n199: const [row] = await dbGlobal\n200: .insert(agentMessages)\n201: .values({\n202: id,\n203: sessionId: params.sessionId,\n204: role: params.role,\n205: content: params.content,\n206: parts: params.parts ?? null,\n207: modelId: params.modelId ?? null,\n208: inputTokens: params.inputTokens ?? null,\n209: outputTokens: params.outputTokens ?? null,\n210: sortOrder: params.sortOrder,\n211: })\n212: .returning();\n213: return row!;\n214: }\n215: \n216: export async function truncateMessagesAfter(sessionId: string, sortOrder: number): Promise {\n217: await dbGlobal\n218: .delete(agentMessages)\n219: .where(and(eq(agentMessages.sessionId, sessionId), sql`${agentMessages.sortOrder} > ${sortOrder}`));\n220: }\n221: \n222: export async function deleteMessage(messageId: string): Promise {\n223: await dbGlobal.delete(agentMessages).where(eq(agentMessages.id, messageId));\n224: }\n225: \n226: export async function getMessageById(messageId: string): Promise {\n227: const [row] = await dbGlobal\n228: .select()\n229: .from(agentMessages)\n230: .where(eq(agentMessages.id, messageId))\n231: .limit(1);\n232: return row ?? null;\n233: }\n234: \n235: export async function updateMessageContent(messageId: string, content: string): Promise {\n236: await dbGlobal\n237: .update(agentMessages)\n238: .set({ content })\n239: .where(eq(agentMessages.id, messageId));\n240: }\n241: \n242: export async function updateMessageParts(messageId: string, parts: string): Promise {\n243: await dbGlobal\n244: .update(agentMessages)\n245: .set({ parts })\n246: .where(eq(agentMessages.id, messageId));\n247: }\n248: \n249: export async function countAssistantMessages(sessionId: string): Promise {\n250: const [result] = await dbGlobal\n251: .select({ cnt: sql`cast(count(*) as integer)` })\n252: .from(agentMessages)\n253: .where(and(eq(agentMessages.sessionId, sessionId), eq(agentMessages.role, \"assistant\")));\n254: return result?.cnt ?? 0;\n255: }\n256: \n257: export async function touchSession(sessionId: string): Promise {\n258: await dbGlobal\n259: .update(agentSessions)\n260: .set({ lastActiveAt: new Date() })\n261: .where(eq(agentSessions.id, sessionId));\n262: }\n263: \n264: export async function migrateTempSessions(tempToken: string, userId: number, agentId?: number): Promise {\n265: const conditions = [eq(agentSessions.tempToken, tempToken), isNull(agentSessions.deletedAt)];\n266: if (agentId !== undefined) {\n267: conditions.push(eq(agentSessions.agentId, agentId));\n268: }\n269: const result = await dbGlobal\n270: .update(agentSessions)\n271: .set({ userId, tempToken: null, expiresAt: null })\n272: .where(and(...conditions))\n273: .returning({ id: agentSessions.id });\n274: return result.length;\n275: }\n\n(End of file - total 275 lines)\n"}]}} +{"type":"tool/result","seq":4654,"time":1786844167390,"data":{"turn":1,"step":13,"message":{"source":{"kind":"tool","callId":"call_00_pWUbWaRRa4hUoDrdHWyf1469"},"content":[{"type":"tool-result","toolCallId":"call_00_pWUbWaRRa4hUoDrdHWyf1469","content":[{"type":"text","text":"=== session.ts (lines: 275) ===\nimport { dbGlobal } from \"drizzle-pkg/lib/db\";\nimport { agentSessions, agentMessages, agentMessageFeedback } from \"drizzle-pkg/lib/schema/agent\";\nimport { eq, desc, asc, and, lt, isNull, sql, max } from \"drizzle-orm\";\nimport type { AgentSessionRow, AgentMessageRow, AgentMessageWithFeedback } from \"./types\";\n\nexport async function createSession(params: {\n userId?: number | null;\n tempToken?: string | null;\n agentId?: number | null;\n modelId?: number | null;\n enableThinking?: number | null;\n enableTools?: number | null;\n systemPrompt?: string | null;\n expiresAt?: Date | null;\n}): Promise {\n const id = `as_${Date.now().toString(36)}_${Math.random().toString(36).slice(2, 10)}`;\n const [row] = await dbGlobal\n .insert(agentSessions)\n .values({\n id,\n userId: params.userId ?? null,\n tempToken: params.tempToken ?? null,\n agentId: params.agentId ?? null,\n modelId: params.modelId ?? null,\n enableThinking: params.enableThinking ?? null,\n enableTools: params.enableTools ?? null,\n systemPrompt: params.systemPrompt ?? null,\n expiresAt: params.expiresAt ?? null,\n })\n .returning();\n return row!;\n}\n\nexport async function getSessionById(id: string): Promise {\n const [row] = await dbGlobal\n .select()\n .from(agentSessions)\n .where(and(eq(agentSessions.id, id), isNull(agentSessions.deletedAt)))\n .limit(1);\n return row ?? null;\n}\n\nexport async function getSessionByIdAndUser(\n id: string,\n userId: number | null,\n tempToken: string | null,\n): Promise {\n const conditions = [eq(agentSessions.id, id), isNull(agentSessions.deletedAt)];\n if (userId) {\n conditions.push(eq(agentSessions.userId, userId));\n } else if (tempToken) {\n conditions.push(eq(agentSessions.tempToken, tempToken));\n } else {\n return null;\n }\n const [row] = await dbGlobal\n .select()\n .from(agentSessions)\n .where(and(...conditions))\n .limit(1);\n return row ?? null;\n}\n\nexport async function listSessions(params: {\n userId?: number | null;\n tempToken?: string | null;\n agentId?: number | null;\n page?: number;\n pageSize?: number;\n}): Promise<{ list: AgentSessionRow[]; total: number; page: number; pageSize: number; totalPages: number }> {\n const { page = 1, pageSize = 30 } = params;\n const conditions = [isNull(agentSessions.deletedAt)];\n if (params.userId) {\n conditions.push(eq(agentSessions.userId, params.userId));\n } else if (params.tempToken) {\n conditions.push(eq(agentSessions.tempToken, params.tempToken));\n } else {\n return { list: [], total: 0, page, pageSize, totalPages: 0 };\n }\n if (params.agentId) {\n conditions.push(eq(agentSessions.agentId, params.agentId));\n }\n\n const where = and(...conditions);\n\n const [countResult] = await dbGlobal\n .select({ count: sql`count(*)` })\n .from(agentSessions)\n .where(where);\n const total = countResult?.count ?? 0;\n const totalPages = Math.ceil(total / pageSize);\n\n const list = await dbGlobal\n .select()\n .from(agentSessions)\n .where(where)\n .orderBy(desc(agentSessions.lastActiveAt))\n .limit(pageSize)\n .offset((page - 1) * pageSize);\n\n return { list, total, page, pageSize, totalPages };\n}\n\nexport async function updateSession(\n id: string,\n data: {\n title?: string;\n agentId?: number | null;\n modelId?: number | null;\n enableThinking?: number | null;\n enableTools?: number | null;\n systemPrompt?: string | null;\n lastActiveAt?: Date;\n },\n): Promise {\n const updates: Record = {};\n if (data.title !== undefined) updates.title = data.title;\n if (data.agentId !== undefined) updates.agentId = data.agentId;\n if (data.modelId !== undefined) updates.modelId = data.modelId;\n if (data.enableThinking !== undefined) updates.enableThinking = data.enableThinking;\n if (data.enableTools !== undefined) updates.enableTools = data.enableTools;\n if (data.systemPrompt !== undefined) updates.systemPrompt = data.systemPrompt;\n if (data.lastActiveAt !== undefined) updates.lastActiveAt = data.lastActiveAt;\n if (Object.keys(updates).length === 0) return;\n await dbGlobal.update(agentSessions).set(updates).where(eq(agentSessions.id, id));\n}\n\nexport async function softDeleteSession(id: string): Promise {\n await dbGlobal\n .update(agentSessions)\n .set({ deletedAt: new Date() })\n .where(eq(agentSessions.id, id));\n}\n\nexport async function getMessagesBySession(\n sessionId: string,\n params?: { before?: number; limit?: number; latest?: boolean; userId?: number | null },\n): Promise {\n const { before, limit = 50, latest = false, userId = null } = params ?? {};\n const conditions = [eq(agentMessages.sessionId, sessionId)];\n if (before !== undefined) {\n conditions.push(lt(agentMessages.sortOrder, before));\n }\n\n const baseQuery = () =>\n dbGlobal\n .select({\n message: agentMessages,\n feedback: agentMessageFeedback.feedback,\n })\n .from(agentMessages)\n .leftJoin(\n agentMessageFeedback,\n and(\n eq(agentMessageFeedback.messageId, agentMessages.id),\n userId ? eq(agentMessageFeedback.userId, userId) : sql`false`,\n ),\n )\n .where(and(...conditions));\n\n if (latest) {\n const rows = await baseQuery()\n .orderBy(desc(agentMessages.sortOrder))\n .limit(limit);\n const reversed = rows.reverse();\n return reversed.map((r) => ({\n ...r.message,\n feedback: (r.feedback ?? null) as \"like\" | \"dislike\" | null,\n }));\n }\n const rows = await baseQuery()\n .orderBy(asc(agentMessages.sortOrder))\n .limit(limit);\n return rows.map((r) => ({\n ...r.message,\n feedback: (r.feedback ?? null) as \"like\" | \"dislike\" | null,\n }));\n}\n\nexport async function getMaxSortOrder(sessionId: string): Promise {\n const [result] = await dbGlobal\n .select({ maxSort: max(agentMessages.sortOrder) })\n .from(agentMessages)\n .where(eq(agentMessages.sessionId, sessionId));\n return result?.maxSort ?? 0;\n}\n\nexport async function saveMessage(params: {\n sessionId: string;\n role: string;\n content: string;\n parts?: string | null;\n modelId?: number | null;\n inputTokens?: number | null;\n outputTokens?: number | null;\n sortOrder: number;\n}): Promise {\n const id = `am_${Date.now().toString(36)}_${Math.random().toString(36).slice(2, 10)}`;\n const [row] = await dbGlobal\n .insert(agentMessages)\n .values({\n id,\n sessionId: params.sessionId,\n role: params.role,\n content: params.content,\n parts: params.parts ?? null,\n modelId: params.modelId ?? null,\n inputTokens: params.inputTokens ?? null,\n outputTokens: params.outputTokens ?? null,\n sortOrder: params.sortOrder,\n })\n .returning();\n return row!;\n}\n\nexport async function truncateMessagesAfter(sessionId: string, sortOrder: number): Promise {\n await dbGlobal\n .delete(agentMessages)\n .where(and(eq(agentMessages.sessionId, sessionId), sql`${agentMessages.sortOrder} > ${sortOrder}`));\n}\n\nexport async function deleteMessage(messageId: string): Promise {\n await dbGlobal.delete(agentMessages).where(eq(agentMessages.id, messageId));\n}\n\nexport async function getMessageById(messageId: string): Promise {\n const [row] = await dbGlobal\n .select()\n .from(agentMessages)\n .where(eq(agentMessages.id, messageId))\n .limit(1);\n return row ?? null;\n}\n\nexport async function updateMessageContent(messageId: string, content: string): Promise {\n await dbGlobal\n .update(agentMessages)\n .set({ content })\n .where(eq(agentMessages.id, messageId));\n}\n\nexport async function updateMessageParts(messageId: string, parts: string): Promise {\n await dbGlobal\n .update(agentMessages)\n .set({ parts })\n .where(eq(agentMessages.id, messageId));\n}\n\nexport async function countAssistantMessages(sessionId: string): 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Let me also quickly check the seed.ts and the agent chat page's welcome binding (how agentName/description are passed), plus the index.get for agents to see what's exposed. Actually, I have enough. Let me also look at the AgentSwitcher and AgentSidebar to understand how agents are listed/switched (this is where 角色卡 would appear).\n\nLet me quickly check the seed.ts and the agent index.get route, plus the chat page top (script) to understand how welcome is wired and how sessions are created.\n\nActually, I think I have enough context to write a comprehensive analysis. But let me verify a couple more things to make the analysis concrete and accurate:\n\n1. The seed.ts — how agents are seeded (to understand what \"角色卡\" fields would need to be seeded)\n2. The `server/api/agents/index.get.ts` — what's exposed in list\n3. The chat page — how welcome is shown, how the greeting/first message works\n\nLet me read these quickly."}}}} +{"type":"assistant/chunk","seq":5033,"time":1786844172579,"data":{"turn":1,"step":14,"chunk":{"type":"block-end","index":1,"block":{"type":"tool-call","id":"call_00_snuR1DJLEcEt8hMixRb25827","name":"run_code","arguments":"{\"code\": \"\\nasync function readFull(path) {\\n const r = await tools.read({ file_path: path });\\n return r.lines.map(l => l.text).join(\\\"\\\\n\\\");\\n}\\n\\nfor (const p of [\\n \\\"packages/drizzle-pkg/seed.ts\\\",\\n \\\"server/api/agents/index.get.ts\\\",\\n \\\"server/api/agents/index.post.ts\\\",\\n]) {\\n console.log(`\\\\n========== ${p} ==========`);\\n const c = await readFull(p);\\n console.log(\\\"(lines: \\\" + c.split(\\\"\\\\n\\\").length + \\\")\\\");\\n console.log(c.slice(0, 4000));\\n}\\n\", \"description\": \"Read seed and agents list/create routes\"}"}}}} +{"type":"assistant/chunk","seq":5034,"time":1786844172579,"data":{"turn":1,"step":14,"chunk":{"type":"usage","usage":{"inputTokens":2540,"outputTokens":414,"cacheReadTokens":76544,"reasoningTokens":218}}}} +{"type":"assistant/chunk","seq":5035,"time":1786844172579,"data":{"turn":1,"step":14,"chunk":{"type":"finish","reason":{"kind":"tool-calls"}}}} +{"type":"assistant/message","seq":5036,"time":1786844172580,"data":{"turn":1,"step":14,"message":{"role":"assistant","content":[{"type":"reasoning","text":"I now have a thorough understanding of the module. Let me also quickly check the seed.ts and the agent chat page's welcome binding (how agentName/description are passed), plus the index.get for agents to see what's exposed. Actually, I have enough. Let me also look at the AgentSwitcher and AgentSidebar to understand how agents are listed/switched (this is where 角色卡 would appear).\n\nLet me quickly check the seed.ts and the agent index.get route, plus the chat page top (script) to understand how welcome is wired and how sessions are created.\n\nActually, I think I have enough context to write a comprehensive analysis. But let me verify a couple more things to make the analysis concrete and accurate:\n\n1. The seed.ts — how agents are seeded (to understand what \"角色卡\" fields would need to be seeded)\n2. The `server/api/agents/index.get.ts` — what's exposed in list\n3. The chat page — how welcome is shown, how the greeting/first message works\n\nLet me read these quickly."},{"type":"tool-call","id":"call_00_snuR1DJLEcEt8hMixRb25827","name":"run_code","arguments":"{\"code\": \"\\nasync function readFull(path) {\\n const r = await tools.read({ file_path: path });\\n return r.lines.map(l => l.text).join(\\\"\\\\n\\\");\\n}\\n\\nfor (const p of [\\n \\\"packages/drizzle-pkg/seed.ts\\\",\\n \\\"server/api/agents/index.get.ts\\\",\\n \\\"server/api/agents/index.post.ts\\\",\\n]) {\\n console.log(`\\\\n========== ${p} ==========`);\\n const c = await readFull(p);\\n console.log(\\\"(lines: \\\" + c.split(\\\"\\\\n\\\").length + \\\")\\\");\\n console.log(c.slice(0, 4000));\\n}\\n\", \"description\": \"Read seed and agents list/create routes\"}"}],"source":{"kind":"model","provider":"deepseek-official","model":"deepseek-v4-pro"},"id":"da305928-5624-499f-bccd-da5087d746fe"},"usage":{"inputTokens":2540,"outputTokens":414,"cacheReadTokens":76544,"reasoningTokens":218}},"sourceEventSeqs":[4657,4658,4659,4660,4661,4662,4663,4664,4665,4666,4667,4668,4669,4670,4671,4672,4673,4674,4675,4676,4677,4678,4679,4680,4681,4682,4683,4684,4685,4686,4687,4688,4689,4690,4691,4692,4693,4694,4695,4696,4697,4698,4699,4700,4701,4702,4703,4704,4705,4706,4707,4708,4709,4710,4711,4712,4713,4714,4715,4716,4717,4718,4719,4720,4721,4722,4723,4724,4725,4726,4727,4728,4729,4730,4731,4732,4733,4734,4735,4736,4737,4738,4739,4740,4741,4742,4743,4744,4745,4746,4747,4748,4749,4750,4751,4752,4753,4754,4755,4756,4757,4758,4759,4760,4761,4762,4763,4764,4765,4766,4767,4768,4769,4770,4771,4772,4773,4774,4775,4776,4777,4778,4779,4780,4781,4782,4783,4784,4785,4786,4787,4788,4789,4790,4791,4792,4793,4794,4795,4796,4797,4798,4799,4800,4801,4802,4803,4804,4805,4806,4807,4808,4809,4810,4811,4812,4813,4814,4815,4816,4817,4818,4819,4820,4821,4822,4823,4824,4825,4826,4827,4828,4829,4830,4831,4832,4833,4834,4835,4836,4837,4838,4839,4840,4841,4842,4843,4844,4845,4846,4847,4848,4849,4850,4851,4852,4853,4854,4855,4856,4857,4858,4859,4860,4861,4862,4863,4864,4865,4866,4867,4868,4869,4870,4871,4872,4873,4874,4875,4876,4877,4878,4879,4880,4881,4882,4883,4884,4885,4886,4887,4888,4889,4890,4891,4892,4893,4894,4895,4896,4897,4898,4899,4900,4901,4902,4903,4904,4905,4906,4907,4908,4909,4910,4911,4912,4913,4914,4915,4916,4917,4918,4919,4920,4921,4922,4923,4924,4925,4926,4927,4928,4929,4930,4931,4932,4933,4934,4935,4936,4937,4938,4939,4940,4941,4942,4943,4944,4945,4946,4947,4948,4949,4950,4951,4952,4953,4954,4955,4956,4957,4958,4959,4960,4961,4962,4963,4964,4965,4966,4967,4968,4969,4970,4971,4972,4973,4974,4975,4976,4977,4978,4979,4980,4981,4982,4983,4984,4985,4986,4987,4988,4989,4990,4991,4992,4993,4994,4995,4996,4997,4998,4999,5000,5001,5002,5003,5004,5005,5006,5007,5008,5009,5010,5011,5012,5013,5014,5015,5016,5017,5018,5019,5020,5021,5022,5023,5024,5025,5026,5027,5028,5029,5030,5031,5032,5033,5034,5035],"surfaceOp":"append"} +{"type":"tool/call","seq":5037,"time":1786844172580,"data":{"turn":1,"step":14,"callId":"call_00_snuR1DJLEcEt8hMixRb25827","name":"run_code","arguments":"{\"code\": \"\\nasync function readFull(path) {\\n const r = await tools.read({ file_path: path });\\n return r.lines.map(l => l.text).join(\\\"\\\\n\\\");\\n}\\n\\nfor (const p of [\\n \\\"packages/drizzle-pkg/seed.ts\\\",\\n \\\"server/api/agents/index.get.ts\\\",\\n \\\"server/api/agents/index.post.ts\\\",\\n]) {\\n console.log(`\\\\n========== ${p} ==========`);\\n const c = await readFull(p);\\n console.log(\\\"(lines: \\\" + c.split(\\\"\\\\n\\\").length + \\\")\\\");\\n console.log(c.slice(0, 4000));\\n}\\n\", \"description\": \"Read seed and agents list/create routes\"}"}} +{"type":"tool/code-dispatch-start","seq":5038,"time":1786844172614,"data":{"rootCallId":"call_00_snuR1DJLEcEt8hMixRb25827","parentCallId":"call_00_snuR1DJLEcEt8hMixRb25827","subCallId":"call_00_snuR1DJLEcEt8hMixRb25827:code:1","name":"read","arguments":{"file_path":"packages/drizzle-pkg/seed.ts"}}} +{"type":"tool/code-dispatch","seq":5039,"time":1786844172620,"data":{"rootCallId":"call_00_snuR1DJLEcEt8hMixRb25827","parentCallId":"call_00_snuR1DJLEcEt8hMixRb25827","subCallId":"call_00_snuR1DJLEcEt8hMixRb25827:code:1","name":"read","arguments":{"file_path":"packages/drizzle-pkg/seed.ts"},"isError":false,"content":[{"type":"text","text":"/home/dash/code/nuxt-app/packages/drizzle-pkg/seed.ts\nfile\n\n1: import './env';\n2: import { hash } from \"bcryptjs\";\n3: import { dbGlobal } from \"./lib/db\";\n4: import { users } from \"./lib/schema/auth\";\n5: import { agentTools } from \"./lib/schema/agent-tool\";\n6: import { agents, agentToolAssociations, agentSessions, agentMessages, agentMessageFeedback } from \"./lib/schema/agent\";\n7: \n8: const DEFAULT_SYSTEM_PROMPT = \"You are a helpful AI assistant. Answer questions concisely and accurately. When tools are available, use them proactively to provide better answers.\";\n9: \n10: const CODER_SYSTEM_PROMPT = `You are a professional coding assistant. You help users with programming questions, code review, debugging, and software design.\n11: \n12: Guidelines:\n13: - Provide clear, concise, and accurate answers\n14: - When showing code, use proper markdown code blocks with language tags\n15: - Proactively use available tools (fetch, search, regex-tester) to gather information when needed\n16: - Explain your reasoning when making architectural or design decisions\n17: - If you're unsure, say so rather than guessing\n18: - Focus on practical, working solutions`;\n19: \n20: interface ToolSeed {\n21: id: string;\n22: name: string;\n23: slug: string;\n24: description: string;\n25: type: string;\n26: config: Record;\n27: enabled: number;\n28: needsApproval: number;\n29: adminOnly: number;\n30: sortOrder: number;\n31: }\n32: \n33: const TOOLS_SEED: ToolSeed[] = [\n34: {\n35: id: \"tool_fetch_html\",\n36: name: \"fetch_html\",\n37: slug: \"fetch_html\",\n38: description: \"Fetch a URL and return the HTML content\",\n39: type: \"fetch\",\n40: config: { parseMode: \"raw\", timeout: 30000, allowedDomains: [\"*\"], blockedDomains: [], maxResponseSize: 102400, defaultMethod: \"GET\", defaultHeaders: {} },\n41: enabled: 1,\n42: needsApproval: 0,\n43: adminOnly: 0,\n44: sortOrder: 10,\n45: },\n46: {\n47: id: \"tool_fetch_md\",\n48: name: \"fetch_md\",\n49: slug: \"fetch_md\",\n50: description: \"Fetch a URL and return the content as markdown\",\n51: type: \"fetch\",\n52: config: { parseMode: \"markdown\", timeout: 30000, allowedDomains: [\"*\"], blockedDomains: [], maxResponseSize: 102400, defaultMethod: \"GET\", defaultHeaders: {} },\n53: enabled: 1,\n54: needsApproval: 0,\n55: adminOnly: 0,\n56: sortOrder: 11,\n57: },\n58: {\n59: id: \"tool_fetch_json\",\n60: name: \"fetch_json\",\n61: slug: \"fetch_json\",\n62: description: \"Fetch a URL and return the JSON content\",\n63: type: \"fetch\",\n64: config: { parseMode: \"json\", timeout: 30000, allowedDomains: [\"*\"], blockedDomains: [], maxResponseSize: 102400, defaultMethod: \"GET\", defaultHeaders: {} },\n65: enabled: 1,\n66: needsApproval: 0,\n67: adminOnly: 0,\n68: sortOrder: 12,\n69: },\n70: {\n71: id: \"tool_calculator\",\n72: name: \"calculator\",\n73: slug: \"calculator\",\n74: description: \"Evaluate a mathematical expression\",\n75: type: \"calculator\",\n76: config: {},\n77: enabled: 1,\n78: needsApproval: 0,\n79: adminOnly: 0,\n80: sortOrder: 20,\n81: },\n82: {\n83: id: \"tool_datetime\",\n84: name: \"datetime\",\n85: slug: \"datetime\",\n86: description: \"Get current date and time\",\n87: type: \"datetime\",\n88: config: {},\n89: enabled: 1,\n90: needsApproval: 0,\n91: adminOnly: 0,\n92: sortOrder: 30,\n93: },\n94: {\n95: id: \"tool_uuid\",\n96: name: \"uuid\",\n97: slug: \"uuid\",\n98: description: \"Generate a UUID\",\n99: type: \"uuid\",\n100: config: {},\n101: enabled: 1,\n102: needsApproval: 0,\n103: adminOnly: 0,\n104: sortOrder: 40,\n105: },\n106: {\n107: id: \"tool_base64\",\n108: name: \"base64\",\n109: slug: \"base64\",\n110: description: \"Encode or decode base64 strings\",\n111: type: \"base64\",\n112: config: {},\n113: enabled: 1,\n114: needsApproval: 0,\n115: adminOnly: 0,\n116: sortOrder: 50,\n117: },\n118: {\n119: id: \"tool_json_formatter\",\n120: name: \"json-formatter\",\n121: slug: \"json-formatter\",\n122: description: \"Format and validate JSON strings\",\n123: type: \"json-formatter\",\n124: config: {},\n125: enabled: 1,\n126: needsApproval: 0,\n127: adminOnly: 0,\n128: sortOrder: 60,\n129: },\n130: {\n131: id: \"tool_regex_tester\",\n132: name: \"regex-tester\",\n133: slug: \"regex-tester\",\n134: description: \"Test a regular expression against a string\",\n135: type: \"regex-tester\",\n136: config: {},\n137: enabled: 1,\n138: needsApproval: 0,\n139: adminOnly: 0,\n140: sortOrder: 70,\n141: },\n142: {\n143: id: \"tool_user_info\",\n144: name: \"user-info\",\n145: slug: \"user-info\",\n146: description: \"Get current user information\",\n147: type: \"user-info\",\n148: config: {},\n149: enabled: 1,\n150: needsApproval: 0,\n151: adminOnly: 0,\n152: sortOrder: 80,\n153: },\n154: {\n155: id: \"tool_search\",\n156: name: \"search\",\n157: slug: \"search\",\n158: description: \"Search the web for information\",\n159: type: \"search\",\n160: config: { maxResults: 5 },\n161: enabled: 1,\n162: needsApproval: 0,\n163: adminOnly: 0,\n164: sortOrder: 90,\n165: },\n166: {\n167: id: \"tool_hash\",\n168: name: \"hash\",\n169: slug: \"hash\",\n170: description: \"Compute hash (md5/sha1/sha256/sha512) or compare hashes\",\n171: type: \"hash\",\n172: config: { defaultAlgorithm: \"sha256\", uppercase: false },\n173: enabled: 1,\n174: needsApproval: 0,\n175: adminOnly: 0,\n176: sortOrder: 100,\n177: },\n178: {\n179: id: \"tool_color\",\n180: name: \"color\",\n181: slug: \"color\",\n182: description: \"Color conversion (hex/rgb/hsl), random color, mix colors, WCAG contrast\",\n183: type: \"color\",\n184: config: { defaultFormat: \"hex\" },\n185: enabled: 1,\n186: needsApproval: 0,\n187: adminOnly: 0,\n188: sortOrder: 110,\n189: },\n190: {\n191: id: \"tool_dice\",\n192: name: \"dice\",\n193: slug: \"dice\",\n194: description: \"Roll dice, flip coin, pick from list, or play rock-paper-scissors\",\n195: type: \"dice\",\n196: config: { defaultSides: 6 },\n197: enabled: 1,\n198: needsApproval: 0,\n199: adminOnly: 0,\n200: sortOrder: 120,\n201: },\n202: {\n203: id: \"tool_magic_8ball\",\n204: name: \"magic-8ball\",\n205: slug: \"magic-8ball\",\n206: description: \"Magic 8-Ball fortune telling and daily fortune\",\n207: type: \"magic-8ball\",\n208: config: { language: \"zh\" },\n209: enabled: 1,\n210: needsApproval: 0,\n211: adminOnly: 0,\n212: sortOrder: 130,\n213: },\n214: {\n215: id: \"tool_guess_who\",\n216: name: \"guess-who\",\n217: slug: \"guess-who\",\n218: description: \"Guess who game - AI guesses your character or you guess AI's character\",\n219: type: \"guess-who\",\n220: config: { language: \"zh\", maxQuestions: 20, difficulty: \"medium\" },\n221: enabled: 1,\n222: needsApproval: 0,\n223: adminOnly: 0,\n224: sortOrder: 140,\n225: },\n226: {\n227: id: \"tool_document\",\n228: name: \"document\",\n229: slug: \"document\",\n230: description: \"创建、读取、更新、删除和列出文档，用于记忆管理和交付物产出\",\n231: type: \"document\",\n232: config: {\n233: approvalRequiredActions: [\"delete\"],\n234: maxContentLength: 10000,\n235: defaultTokenBudget: 2000,\n236: maxListSize: 20,\n237: },\n238: enabled: 1,\n239: needsApproval: 1,\n240: adminOnly: 0,\n241: sortOrder: 150,\n242: },\n243: {\n244: id: \"tool_agent_invoke\",\n245: name: \"agent-invoke\",\n246: slug: \"agent-invoke\",\n247: description: \"调用其他 Agent 处理子任务，实现多 Agent 协作\",\n248: type: \"agent-invoke\",\n249: config: {\n250: maxRecursionDepth: 3,\n251: resultTruncateLength: 8000,\n252: timeoutMs: 60000,\n253: maxOutputTokens: 8192,\n254: },\n255: enabled: 1,\n256: needsApproval: 0,\n257: adminOnly: 0,\n258: sortOrder: 160,\n259: },\n260: ];\n261: \n262: async function seedTools() {\n263: for (const t of TOOLS_SEED) {\n264: await dbGlobal.insert(agentTools).values({\n265: id: t.id,\n266: name: t.name,\n267: slug: t.slug,\n268: description: t.description,\n269: type: t.type,\n270: config: JSON.stringify(t.config),\n271: enabled: t.enabled,\n272: needsApproval: t.needsApproval,\n273: adminOnly: t.adminOnly,\n274: sortOrder: t.sortOrder,\n275: });\n276: }\n277: console.log(`Seeded ${TOOLS_SEED.length} tools`);\n278: }\n279: \n280: async function seedAgents() {\n281: const [defaultAgent] = await dbGlobal\n282: .insert(agents)\n283: .values({\n284: slug: \"default\",\n285: name: \"默认助手\",\n286: description: \"通用 AI 助手，处理日常问答、信息查询、文本创作等通用任务。遇到专业编程问题时，可通过 agent-invoke 工具委托给编程助手处理。\",\n287: systemPrompt: DEFAULT_SYSTEM_PROMPT,\n288: titleStrategy: \"llm\",\n289: enableThinking: 0,\n290: enableTools: 1,\n291: maxStepCount: 6,\n292: isDefault: 1,\n293: isCallable: 0,\n294: sortOrder: 0,\n295: enabled: 1,\n296: })\n297: .returning();\n298: \n299: const [coderAgent] = await dbGlobal\n300: .insert(agents)\n301: .values({\n302: slug: \"coder\",\n303: name: \"编程助手\",\n304: description: \"专业编程助手，擅长代码编写、调试、代码审查、架构设计和技术方案评估。可处理多种编程语言（Python、TypeScript、Go、Rust 等），能主动使用 fetch、search 等工具查阅技术文档。当用户需要编写代码、排查 bug、做技术选型或审查代码质量时，应委托给此 Agent。\",\n305: systemPrompt: CODER_SYSTEM_PROMPT,\n306: titleStrategy: \"first-line\",\n307: enableThinking: 1,\n308: enableTools: 1,\n309: maxStepCount: 12,\n310: isDefault: 0,\n311: isCallable: 1,\n312: sortOrder: 10,\n313: enabled: 1,\n314: })\n315: .returning();\n316: \n317: console.log(\"Seeded 2 agents: default, coder\");\n318: \n319: const allToolIds = TOOLS_SEED.map((t) => t.id);\n320: const coderToolIds = [\"tool_fetch_md\", \"tool_search\", \"tool_regex_tester\"];\n321: \n322: for (let i = 0; i < allToolIds.length; i++) {\n323: await dbGlobal.insert(agentToolAssociations).values({\n324: agentId: defaultAgent.id,\n325: toolId: allToolIds[i],\n326: sortOrder: i,\n327: });\n328: }\n329: \n330: for (let i = 0; i < coderToolIds.length; i++) {\n331: await dbGlobal.insert(agentToolAssociations).values({\n332: agentId: coderAgent.id,\n333: toolId: coderToolIds[i],\n334: sortOrder: i,\n335: });\n336: }\n337: \n338: console.log(`Seeded ${allToolIds.length} tool associations for default agent`);\n339: console.log(`Seeded ${coderToolIds.length} tool associations for coder agent`);\n340: }\n341: \n342: async function seedAdmin() {\n343: const password = await hash(\"123456qaz\", 10);\n344: await dbGlobal.insert(users).values({\n345: username: \"admin\",\n346: password,\n347: role: \"admin\",\n348: status: \"active\",\n349: nickname: \"管理员\",\n350: });\n351: console.log(\"Seeded admin user (admin / 123456qaz)\");\n352: }\n353: \n354: async function main() {\n355: await seedAdmin();\n356: await seedTools();\n357: await seedAgents();\n358: \n359: console.log(\"Seed complete!\");\n360: process.exit(0);\n361: }\n362: \n363: main().catch((e) => {\n364: console.error(e);\n365: process.exit(1);\n366: });\n\n(End of file - total 366 lines)\n"}]}} +{"type":"tool/code-dispatch-start","seq":5040,"time":1786844172627,"data":{"rootCallId":"call_00_snuR1DJLEcEt8hMixRb25827","parentCallId":"call_00_snuR1DJLEcEt8hMixRb25827","subCallId":"call_00_snuR1DJLEcEt8hMixRb25827:code:2","name":"read","arguments":{"file_path":"server/api/agents/index.get.ts"}}} +{"type":"tool/code-dispatch","seq":5041,"time":1786844172629,"data":{"rootCallId":"call_00_snuR1DJLEcEt8hMixRb25827","parentCallId":"call_00_snuR1DJLEcEt8hMixRb25827","subCallId":"call_00_snuR1DJLEcEt8hMixRb25827:code:2","name":"read","arguments":{"file_path":"server/api/agents/index.get.ts"},"isError":false,"content":[{"type":"text","text":"/home/dash/code/nuxt-app/server/api/agents/index.get.ts\nfile\n\n1: import { defineWrappedResponseHandler } from \"#server/utils/handler\";\n2: import { R } from \"#server/utils/response\";\n3: import { listAgents } from \"#server/service/agent/agent\";\n4: \n5: export default defineWrappedResponseHandler(async () => {\n6: const list = await listAgents(true);\n7: return R.success({ list });\n8: });\n\n(End of file - total 8 lines)\n"}]}} +{"type":"tool/code-dispatch-start","seq":5042,"time":1786844172631,"data":{"rootCallId":"call_00_snuR1DJLEcEt8hMixRb25827","parentCallId":"call_00_snuR1DJLEcEt8hMixRb25827","subCallId":"call_00_snuR1DJLEcEt8hMixRb25827:code:3","name":"read","arguments":{"file_path":"server/api/agents/index.post.ts"}}} +{"type":"tool/code-dispatch","seq":5043,"time":1786844172633,"data":{"rootCallId":"call_00_snuR1DJLEcEt8hMixRb25827","parentCallId":"call_00_snuR1DJLEcEt8hMixRb25827","subCallId":"call_00_snuR1DJLEcEt8hMixRb25827:code:3","name":"read","arguments":{"file_path":"server/api/agents/index.post.ts"},"isError":false,"content":[{"type":"text","text":"/home/dash/code/nuxt-app/server/api/agents/index.post.ts\nfile\n\n1: import { defineWrappedResponseHandler } from \"#server/utils/handler\";\n2: import { R } from \"#server/utils/response\";\n3: import { getCurrentUser } from \"#server/utils/context\";\n4: import { createAgent, type CreateAgentInput } from \"#server/service/agent/agent\";\n5: \n6: export default defineWrappedResponseHandler(async (event) => {\n7: const user = await getCurrentUser(event);\n8: if (!user || user.role !== \"admin\") {\n9: return R.error(\"仅管理员可创建 agent\", null);\n10: }\n11: \n12: const body = await readBody(event);\n13: const { slug, name, description, systemPrompt, defaultModelId, titleModelId, titleStrategy, enableThinking, enableTools, maxStepCount, isDefault, isCallable, sortOrder, enabled, toolIds } = body as CreateAgentInput;\n14: \n15: if (!slug || !name || !systemPrompt) {\n16: return R.error(\"slug、name、systemPrompt 为必填\", null);\n17: }\n18: \n19: try {\n20: const agent = await createAgent({\n21: slug,\n22: name,\n23: description,\n24: systemPrompt,\n25: defaultModelId,\n26: titleModelId,\n27: titleStrategy,\n28: enableThinking,\n29: enableTools,\n30: maxStepCount,\n31: isDefault,\n32: isCallable,\n33: sortOrder,\n34: enabled,\n35: toolIds,\n36: });\n37: return R.success(agent);\n38: } catch (e) {\n39: return R.error(e instanceof Error ? e.message : String(e), null);\n40: }\n41: });\n\n(End of file - total 41 lines)\n"}]}} +{"type":"tool/result","seq":5044,"time":1786844172636,"data":{"turn":1,"step":14,"message":{"source":{"kind":"tool","callId":"call_00_snuR1DJLEcEt8hMixRb25827"},"content":[{"type":"tool-result","toolCallId":"call_00_snuR1DJLEcEt8hMixRb25827","content":[{"type":"text","text":"\n========== packages/drizzle-pkg/seed.ts ==========\n(lines: 366)\nimport './env';\nimport { hash } from \"bcryptjs\";\nimport { dbGlobal } from \"./lib/db\";\nimport { users } from \"./lib/schema/auth\";\nimport { agentTools } from \"./lib/schema/agent-tool\";\nimport { agents, agentToolAssociations, agentSessions, agentMessages, agentMessageFeedback } from \"./lib/schema/agent\";\n\nconst DEFAULT_SYSTEM_PROMPT = \"You are a helpful AI assistant. Answer questions concisely and accurately. When tools are available, use them proactively to provide better answers.\";\n\nconst CODER_SYSTEM_PROMPT = `You are a professional coding assistant. You help users with programming questions, code review, debugging, and software design.\n\nGuidelines:\n- Provide clear, concise, and accurate answers\n- When showing code, use proper markdown code blocks with language tags\n- Proactively use available tools (fetch, search, regex-tester) to gather information when needed\n- Explain your reasoning when making architectural or design decisions\n- If you're unsure, say so rather than guessing\n- Focus on practical, working solutions`;\n\ninterface ToolSeed {\n id: string;\n name: string;\n slug: string;\n description: string;\n type: string;\n config: Record;\n enabled: number;\n needsApproval: number;\n adminOnly: number;\n sortOrder: number;\n}\n\nconst TOOLS_SEED: ToolSeed[] = [\n {\n id: \"tool_fetch_html\",\n name: \"fetch_html\",\n slug: \"fetch_html\",\n description: \"Fetch a URL and return the HTML content\",\n type: \"fetch\",\n config: { parseMode: \"raw\", timeout: 30000, allowedDomains: [\"*\"], blockedDomains: [], maxResponseSize: 102400, defaultMethod: \"GET\", defaultHeaders: {} },\n enabled: 1,\n needsApproval: 0,\n adminOnly: 0,\n sortOrder: 10,\n },\n {\n id: \"tool_fetch_md\",\n name: \"fetch_md\",\n slug: \"fetch_md\",\n description: \"Fetch a URL and return the content as markdown\",\n type: \"fetch\",\n config: { parseMode: \"markdown\", timeout: 30000, allowedDomains: [\"*\"], blockedDomains: [], maxResponseSize: 102400, defaultMethod: \"GET\", defaultHeaders: {} },\n enabled: 1,\n needsApproval: 0,\n adminOnly: 0,\n sortOrder: 11,\n },\n {\n id: \"tool_fetch_json\",\n name: \"fetch_json\",\n slug: \"fetch_json\",\n description: \"Fetch a URL and return the JSON content\",\n type: \"fetch\",\n config: { parseMode: \"json\", timeout: 30000, allowedDomains: [\"*\"], blockedDomains: [], maxResponseSize: 102400, defaultMethod: \"GET\", defaultHeaders: {} },\n enabled: 1,\n needsApproval: 0,\n adminOnly: 0,\n sortOrder: 12,\n },\n {\n id: \"tool_calculator\",\n name: \"calculator\",\n slug: \"calculator\",\n description: \"Evaluate a mathematical expression\",\n type: \"calculator\",\n config: {},\n enabled: 1,\n needsApproval: 0,\n adminOnly: 0,\n sortOrder: 20,\n },\n {\n id: \"tool_datetime\",\n name: \"datetime\",\n slug: \"datetime\",\n description: \"Get current date and time\",\n type: \"datetime\",\n config: {},\n enabled: 1,\n needsApproval: 0,\n adminOnly: 0,\n sortOrder: 30,\n },\n {\n id: \"tool_uuid\",\n name: \"uuid\",\n slug: \"uuid\",\n description: \"Generate a UUID\",\n type: \"uuid\",\n config: {},\n enabled: 1,\n needsApproval: 0,\n adminOnly: 0,\n sortOrder: 40,\n },\n {\n id: \"tool_base64\",\n name: \"base64\",\n slug: \"base64\",\n description: \"Encode or decode base64 strings\",\n type: \"base64\",\n config: {},\n enabled: 1,\n needsApproval: 0,\n adminOnly: 0,\n sortOrder: 50,\n },\n {\n id: \"tool_json_formatter\",\n name: \"json-formatter\",\n slug: \"json-formatter\",\n description: \"Format and validate JSON strings\",\n type: \"json-formatter\",\n config: {},\n enabled: 1,\n needsApproval: 0,\n adminOnly: 0,\n sortOrder: 60,\n },\n {\n id: \"tool_regex_tester\",\n name: \"regex-tester\",\n slug: \"regex-tester\",\n description: \"Test a regular expression against a string\",\n type: \"regex-tester\",\n config: {},\n enabled: 1,\n needsApproval: 0,\n adminOnly: 0,\n sortOrder: 70,\n },\n {\n id: \"tool_user_i\n\n========== server/api/agents/index.get.ts ==========\n(lines: 8)\nimport { defineWrappedResponseHandler } from \"#server/utils/handler\";\nimport { R } from \"#server/utils/response\";\nimport { listAgents } from \"#server/service/agent/agent\";\n\nexport default defineWrappedResponseHandler(async () => {\n const list = await listAgents(true);\n return R.success({ list });\n});\n\n========== server/api/agents/index.post.ts ==========\n(lines: 41)\nimport { defineWrappedResponseHandler } from \"#server/utils/handler\";\nimport { R } from \"#server/utils/response\";\nimport { getCurrentUser } from 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Let me also quickly look at how the chat page wires up the welcome/agent name and how the \"agent-card\" concept could be extended. Let me read the chat page script to see the full flow (greeting, welcome). Let me also check the `app/composables` directory to understand useAgentChatStore and useAgentSessions.\n\nActually, I have enough for a thorough analysis. 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