修改说明文档+添加dockerfile
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.dockerignore
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.dockerignore
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# Git
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.git
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.gitignore
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# Build artifacts
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target/
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!target/release/picobot
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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# Docs and references
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docs/
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reference/
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# Test files
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tests/
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# Misc
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*.md
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*.txt
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.opencode/
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CLAUDE.md
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AGENTS.md
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ARCHITECTURE_REVIEW.md
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1
.gitignore
vendored
1
.gitignore
vendored
@ -4,3 +4,4 @@ reference/**
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*.env
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Cargo.lock
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.worktrees/
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design
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110
Dockerfile
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Dockerfile
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# =============================================================================
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# PicoBot Docker Image
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# =============================================================================
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# Build binary on host:
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# cargo build --release
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#
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# Build image:
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# docker build -t picobot .
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#
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# Run gateway: docker run -d -v ~/.picobot:/app/.picobot -p 19876:19876 picobot gateway
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# Run chat: docker run -it -v ~/.picobot:/app/.picobot picobot chat
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# =============================================================================
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FROM debian:trixie-slim
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LABEL org.opencontainers.image.title="PicoBot"
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LABEL org.opencontainers.image.description="AI agent gateway and chat client"
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LABEL org.opencontainers.image.source="https://github.com/your-repo/picobot"
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# Avoid interactive prompts
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ENV DEBIAN_FRONTEND=noninteractive
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# Configure domestic mirrors for pip, uv, npm (China)
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ENV PIP_INDEX_URL=https://mirrors.aliyun.com/pypi/simple/
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ENV UV_INDEX_URL=https://mirrors.aliyun.com/pypi/simple/
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# Install base tools, Python, and uv in one layer to reduce duplication
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ca-certificates \
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tini \
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curl \
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gnupg \
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git \
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jq \
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tree \
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zip \
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unzip \
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sqlite3 \
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openssh-client \
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sshpass \
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dnsutils \
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poppler-utils \
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fonts-wqy-zenhei \
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fonts-wqy-microhei \
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python3 \
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python3-pip \
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python3-venv \
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&& rm -rf /var/lib/apt/lists/* \
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&& pip3 install --no-cache-dir --break-system-packages uv
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# Install Node.js and npx
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RUN curl -fsSL https://deb.nodesource.com/setup_22.x | bash - \
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&& apt-get install -y --no-install-recommends nodejs \
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&& npm config set registry https://registry.npmmirror.com \
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&& npm cache clean --force \
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&& rm -rf /var/lib/apt/lists/*
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# Install himalaya (CLI email client) from local file
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COPY docker_build/himalaya.x86_64-linux.tgz /tmp/himalaya.tgz
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RUN tar -xzf /tmp/himalaya.tgz -C /usr/local/bin \
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&& chmod +x /usr/local/bin/himalaya \
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&& rm -f /tmp/himalaya.tgz
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# Install fd (alternative to find)
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RUN curl -fsSL https://github.com/sharkdp/fd/releases/download/v9.0.0/fd-v9.0.0-x86_64-unknown-linux-gnu.tar.gz | \
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tar -xz --strip-components=1 -C /usr/local/bin \
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&& chmod +x /usr/local/bin/fd
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# Install ripgrep (rg)
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RUN curl -fsSL https://github.com/BurntSushi/ripgrep/releases/download/14.1.0/ripgrep-14.1.0-x86_64-unknown-linux-musl.tar.gz | \
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tar -xz --strip-components=1 -C /usr/local/bin \
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&& chmod +x /usr/local/bin/rg
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# Install Chromium and chromedriver for browser automation
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# Debian's chromium package is real (not a snap shim like Ubuntu 24.04)
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RUN apt-get update && apt-get install -y --no-install-recommends \
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chromium \
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chromium-driver \
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&& ln -sf /usr/bin/chromium /usr/local/bin/chrome \
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&& ln -sf /usr/bin/chromedriver /usr/local/bin/chromedriver \
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&& rm -rf /var/lib/apt/lists/*
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# Create non-root user
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RUN useradd -m -s /bin/bash app
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WORKDIR /app
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# Copy pre-built binary from host
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COPY target/release/picobot /app/picobot
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# Copy config template
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COPY resources/templates/config.example.json /app/config.json.example
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# Create required directories
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RUN mkdir -p /app/.picobot/workspace /app/.picobot/media /app/.picobot/tmp && \
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chown -R app:app /app
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USER app
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ENV HOME=/app
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# Environment variables for Chromium in containers
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ENV CHROME_BIN=/usr/bin/chromium
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ENV TMPDIR=/app/.picobot/tmp
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ENTRYPOINT ["/app/picobot"]
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CMD ["gateway"]
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EXPOSE 19876
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ENV RUST_LOG=info
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501
README.md
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README.md
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# PicoBot
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A multi-channel AI agent framework with a WebSocket gateway and TUI client, supporting OpenAI-compatible and Anthropic LLM providers, tool calling, session persistence, and cron-based scheduling.
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PicoBot is a Rust-based personal AI assistant runtime. It runs a local gateway, connects chat channels such as the terminal TUI and Feishu/Lark, persists sessions in SQLite, and gives the agent a tool system for files, shell commands, web access, memory, scheduling, skills, MCP tools, and delegated sub-agents.
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## System Architecture
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## What It Does
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```mermaid
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graph TB
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subgraph Clients
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TUI["🖥️ CLI Chat (TUI)"]
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FS["📱 Feishu/Lark"]
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end
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- Runs as a gateway server on `127.0.0.1:19876` by default.
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- Provides a Ratatui terminal client over WebSocket.
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- Supports Feishu/Lark messages, reactions, file upload/download, and media references.
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- Calls OpenAI-compatible providers and Anthropic Messages API providers.
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- Persists conversations, messages, memories, scheduled jobs, LLM call metadata, and background sub-agent tasks in SQLite.
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- Loads skills from workspace, user, and shared skill directories, with built-in skills installed on first use.
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- Compresses long contexts and stores timeline summaries for later recall.
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- Can register tools discovered from configured MCP servers.
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subgraph Gateway["Gateway Server (127.0.0.1:19876)"]
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HTTP["HTTP Endpoints<br/>GET /health<br/>GET /ws (WebSocket upgrade)"]
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WS["WebSocket Handler"]
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CD["ChannelManager"]
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SP["SessionManager"]
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AL["AgentLoop"]
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end
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## Architecture
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subgraph Bus["MessageBus"]
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IB["Inbound Channel"]
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OB["Outbound Channel"]
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CC["Control Channel"]
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end
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```text
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Channel -> MessageBus -> SessionManager -> AgentLoop -> LLM Provider
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| |
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| v
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| Tools
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v
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SQLite
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subgraph Storage
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SQLite[("SQLite<br/>picobot.db")]
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end
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subgraph AI["AI Providers"]
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OpenAI["OpenAI / DashScope"]
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Anthropic["Anthropic Claude"]
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end
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TUI <-->|WebSocket| WS
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FS <-->|Webhook| HTTP
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CD -->|InboundMessage| IB
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IB -->|DialogEvent| SP
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CC -->|ControlMessage| SP
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SP <--> AL
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AL -->|API Call| OpenAI
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AL -->|API Call| Anthropic
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AL -->|Tool Call| Tools
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SP -->|OutboundMessage| OB
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OB --> CD
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SP --> SQLite
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Tools --> SQLite
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subgraph Tools
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Bash["Bash"]
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FileIO["File Read/Write/Edit"]
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Web["HTTP Request / Web Fetch"]
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Calc["Calculator"]
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Skill["Get Skill"]
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Msg["Send Message"]
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Cron["Cron Jobs"]
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end
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Control messages -> SessionManager -> MessageBus -> OutboundDispatcher -> Channel
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```
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### Core Data Flow
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The main runtime boundary is:
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```mermaid
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sequenceDiagram
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participant Channel as Channel<br/>(CLI/Feishu)
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participant Bus as MessageBus
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participant SM as SessionManager
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participant AL as AgentLoop
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participant LLM as LLM Provider
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participant Tool as Tools
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Channel->>Bus: InboundMessage (user input)
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Bus->>SM: DialogEvent
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SM->>SM: Load/Resolve Session
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SM->>AL: Process (session state)
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AL->>LLM: ChatCompletionRequest
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LLM-->>AL: response / tool_calls
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alt Tool Calls
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AL->>Tool: execute tool
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Tool-->>AL: result
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AL->>LLM: continue with tool result
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end
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AL-->>SM: AgentProcessResult (text + token count)
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SM->>SM: Persist to SQLite
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SM->>Bus: OutboundMessage
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Bus->>Channel: response to user
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```
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- `channels` only receive and send external messages.
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- `bus` is an async queue, not a router.
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- `session` owns dialog lifecycle, persistence, memory recall, prompt assembly, compression, and task cancellation.
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- `agent` runs the stateless LLM/tool loop.
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- `providers` are HTTP clients for model APIs.
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- `tools` execute agent actions and return string results.
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- `storage` owns SQLite schema and CRUD.
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- `scheduler` polls due jobs and feeds prompts back into sessions.
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## Features
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### Multi-Channel Support
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- **CLI Chat Client** — Full TUI with session management, Markdown rendering, slash commands
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- **Feishu (Lark)** — Webhook-based integration with typing indicators and media support
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### Channels
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### Multi-Provider LLM
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- OpenAI-compatible API (GPT-4, DashScope, Volcengine, etc.)
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- Anthropic Messages API (Claude)
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- Cross-provider JSON Schema normalization for tool calling compatibility
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- `cli_chat`: terminal TUI client connected through `/ws`.
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- `feishu`: Feishu/Lark channel with configurable allow list, media directory, and reaction emoji.
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### Session Management
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- Multi-session conversations per channel/chat
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- Create, switch, rename, archive, delete dialogs via slash commands or WebSocket
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- SQLite-persisted session history with automatic TTL-based cleanup
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- Context compression for long conversations approaching token limits
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### LLM Providers
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### Tool System
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| Tool | Description |
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|------|-------------|
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| `bash` | Execute shell commands in workspace |
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| `file_read` | Read file contents |
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| `file_write` | Create/overwrite files |
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| `file_edit` | Precise string substitution in files |
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| `http_request` | Make HTTP API requests |
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| `web_fetch` | Fetch and parse web pages |
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| `calculator` | Evaluate mathematical expressions |
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| `get_skill` | Load agent skills from local skill files |
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| `send_message` | Send messages to other channels |
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| `cron_add/list/remove/enable/disable/update` | Manage scheduled jobs |
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- OpenAI-compatible chat completions, including DashScope, Volcengine, and similar APIs.
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- Anthropic Messages API.
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- Model-specific `input_type` metadata for text/image capability checks.
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- JSON Schema cleanup for cross-provider tool compatibility.
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### Scheduling
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- Cron-based recurring jobs with optional timezone support
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- One-shot (`at`) and interval (`every`) schedules
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- Jobs trigger agent processing via specified channel/chat
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### Sessions And Memory
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### Skills System
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- Load Markdown skill files from `~/.picobot/skills` and `~/.agents/skills`
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- Skills inject specialized system prompts for specific tasks
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- Automatic hot-reload on file changes
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- Session IDs use `<channel>:<chat_id>:<dialog_id>`.
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- Each channel/chat can have multiple dialogs.
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- Dialog operations include create, list, switch, rename, delete, compact, dump, info, and stop.
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- Session history is persisted to SQLite and can be incrementally restored after compression.
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- Knowledge memories are recalled into the system prompt each turn.
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- Timeline memories are produced by context compression and can be searched later.
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### Observability
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- Observer pattern for agent and tool telemetry
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- Events: `AgentStart`, `AgentEnd`, `ToolCallStart`, `ToolCall`
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- Structured JSON logging with file rotation
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### Tools
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Base tools registered for the agent:
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| Tool | Purpose |
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|------|---------|
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| `calculator` | Math expressions and statistics |
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| `file_read` / `file_write` / `file_edit` | Workspace file operations |
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| `file_search` / `content_search` | File and content search |
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| `bash` | Run shell commands in the workspace |
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| `http_request` | HTTP API requests |
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| `web_fetch` | Fetch and extract web page text |
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| `get_skill` | List or load local skills |
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| `memory_store` / `memory_recall` / `timeline_recall` / `memory_forget` | Long-term memory operations |
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| `delegate` | Run inline, background, or parallel sub-agents |
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| `send_message` | Send outbound messages to configured channels |
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| `chat_manager` | Inspect sessions, channels, and stored messages |
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| `cron_add/list/remove/enable/disable/update` | Manage scheduled jobs when scheduler is enabled |
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| `browser` | Optional WebDriver browser automation when enabled |
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| MCP tools | Dynamically registered from configured MCP servers |
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### Skills
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Skills are directories containing `SKILL.md`. Load priority is:
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1. `{workspace}/skills`
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2. `~/.picobot/skills`
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3. `~/.agents/skills`
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Same-name skills in higher-priority locations override lower-priority ones. Built-in skills from `resources/skills` are embedded into the binary and installed into `~/.picobot/skills` if missing.
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## Quick Start
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### Prerequisites
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- Rust nightly (edition 2024) — use `rustup` to install
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- Rust toolchain with edition 2024 support.
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- A configured LLM provider API key.
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### Build
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@ -147,7 +106,9 @@ cargo build
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### Configure
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1. Create `config.json` (or `~/.picobot/config.json`):
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PicoBot loads `~/.picobot/config.json` first, then falls back to `./config.json`. On gateway startup, a template is released to `~/.picobot/config.example.json` if it does not exist. The source template is [resources/templates/config.example.json](/home/xiaoxixi/code/PicoBot/resources/templates/config.example.json).
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Minimal example:
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```json
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{
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@ -155,14 +116,16 @@ cargo build
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"openai": {
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"type": "openai",
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"base_url": "https://api.openai.com/v1",
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"api_key": "<OPENAI_API_KEY>"
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"api_key": "<OPENAI_API_KEY>",
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"extra_headers": {}
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}
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},
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"models": {
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"gpt-4o": {
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"model_id": "gpt-4o",
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"temperature": 0.7,
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"max_tokens": 4096
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"max_tokens": 4096,
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"input_type": ["text", "image"]
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}
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},
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"agents": {
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@ -172,251 +135,157 @@ cargo build
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"max_tool_iterations": 99,
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"token_limit": 128000
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}
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}
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},
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"workspace_dir": "~/.picobot/workspace"
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}
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```
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2. Set API keys via `.env` file (one `KEY=VALUE` per line):
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|
||||
```env
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||||
OPENAI_API_KEY=sk-xxxxx
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```
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||||
The `.env` file in the current directory is parsed by PicoBot itself. Values like `<OPENAI_API_KEY>` in JSON are replaced from the process environment after `.env` is loaded.
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### Run
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||||
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**Start gateway server:**
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||||
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||||
```bash
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cargo run -- gateway
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||||
```
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||||
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||||
Binds `127.0.0.1:19876` by default. Override with `--host` and `--port`.
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The gateway switches the process working directory to `workspace_dir` and stores `picobot.db` there by default.
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**Connect CLI client:**
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In another terminal:
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||||
```bash
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cargo run -- chat
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```
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Connects to `ws://127.0.0.1:19876/ws`. Override with `--gateway-url`.
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The client connects to `ws://127.0.0.1:19876/ws` by default. Override with `--gateway-url`.
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## Configuration Reference
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## Configuration
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||||
Config load order: `~/.picobot/config.json` → `./config.json` (fallback).
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Top-level config fields:
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### Full Config Structure
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||||
| Field | Purpose |
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|-------|---------|
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||||
| `providers` | Named LLM provider configs |
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||||
| `models` | Named model configs |
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||||
| `agents` | Agent-to-provider/model binding |
|
||||
| `gateway` | Bind address, session DB path, cleanup, scheduler, background task limits |
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||||
| `client` | Default WebSocket URL for the TUI client |
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| `channels` | Channel configs, currently Feishu/Lark |
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||||
| `memory` | Recall and consolidation settings |
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||||
| `mcp` | MCP server configs |
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||||
| `browser` | Optional WebDriver browser tool config |
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||||
| `workspace_dir` | Workspace used for file tools, shell commands, DB default, and workspace skills |
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||||
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||||
```mermaid
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||||
graph LR
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||||
Config["config.json"]
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||||
Config --> Providers["providers<br/>ProviderConfig{}"]
|
||||
Config --> Models["models<br/>ModelConfig{}"]
|
||||
Config --> Agents["agents<br/>AgentConfig{}"]
|
||||
Config --> Gateway["gateway<br/>GatewayConfig"]
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||||
Config --> Client["client<br/>ClientConfig"]
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||||
Config --> Channels["channels<br/>ChannelConfig{}"]
|
||||
Config --> Workspace["workspace_dir"]
|
||||
Important defaults:
|
||||
|
||||
Providers --> PT["type (openai / anthropic)<br/>base_url<br/>api_key<br/>extra_headers"]
|
||||
Models --> MT["model_id<br/>temperature<br/>max_tokens"]
|
||||
Agents --> AT["provider (ref)<br/>model (ref)<br/>max_tool_iterations<br/>token_limit"]
|
||||
Gateway --> GT["host / port<br/>session_db_path<br/>scheduler"]
|
||||
Channels --> CT["feishu: app_id, app_secret<br/>allow_from, agent, media_dir"]
|
||||
```
|
||||
| Key | Default |
|
||||
|-----|---------|
|
||||
| `gateway.host` | `127.0.0.1` |
|
||||
| `gateway.port` | `19876` |
|
||||
| `gateway.max_concurrent_background_tasks` | `10` |
|
||||
| `gateway.scheduler.enabled` | `true` if `scheduler` is omitted and defaulted |
|
||||
| `client.gateway_url` | `ws://127.0.0.1:19876/ws` |
|
||||
| `memory.recall_limit` | `5` |
|
||||
| `memory.timeline_retention_days` | `90` |
|
||||
| `mcp.tool_timeout_secs` | `180` |
|
||||
| `browser.enabled` | `false` |
|
||||
|
||||
### Environment Variables
|
||||
|
||||
The `.env` file in the working directory is loaded manually (not via dotenv crate). Placeholders in `config.json` written as `<VAR_NAME>` are substituted at load time.
|
||||
|
||||
### Gateway Config
|
||||
|
||||
| Key | Type | Default | Description |
|
||||
|-----|------|---------|-------------|
|
||||
| `host` | string | `127.0.0.1` | Bind address |
|
||||
| `port` | u16 | `19876` | Listen port |
|
||||
| `session_db_path` | string | workspace `picobot.db` | SQLite database path |
|
||||
| `scheduler.enabled` | bool | `false` | Enable cron scheduler |
|
||||
|
||||
### Agent Config
|
||||
|
||||
| Key | Type | Default | Description |
|
||||
|-----|------|---------|-------------|
|
||||
| `provider` | string | — | Provider name (key in `providers`) |
|
||||
| `model` | string | — | Model name (key in `models`) |
|
||||
| `max_tool_iterations` | number | `99` | Max tool call iterations per turn |
|
||||
| `token_limit` | number | `128000` | Context window token limit |
|
||||
MCP servers support `stdio`, `sse`, and `streamable-http` transports. Browser automation requires a compatible Chrome/Chromium and chromedriver/WebDriver endpoint.
|
||||
|
||||
## Slash Commands
|
||||
|
||||
Available in CLI chat and Feishu:
|
||||
Available from CLI chat and channel text messages:
|
||||
|
||||
| Command | Alias | Description |
|
||||
|---------|-------|-------------|
|
||||
| `/new` | `/刷新` | Create a new dialog |
|
||||
| `/list` | `/对话列表` | List all dialogs |
|
||||
| `/switch <id>` | — | Switch to a dialog |
|
||||
| `/rename <title>` | — | Rename current dialog |
|
||||
| `/archive` | — | Archive current dialog |
|
||||
| `/delete` | — | Delete current dialog |
|
||||
| `/clear` | `/清空` | Clear current dialog history |
|
||||
| Command | Description |
|
||||
|---------|-------------|
|
||||
| `/new` | Create a new dialog |
|
||||
| `/sessions` | List recent dialogs |
|
||||
| `/switch <dialog_id>` | Switch dialog |
|
||||
| `/rename <title>` | Rename current dialog |
|
||||
| `/delete` | Delete current dialog |
|
||||
| `/compact` | Manually trigger context compression |
|
||||
| `/info` | Show current dialog information |
|
||||
| `/dump` | Save current dialog as Markdown |
|
||||
| `/?`, `/help` | Show help |
|
||||
| `/mcp` | Show MCP server and tool status |
|
||||
| `/stop` | Stop active tasks and clear queued messages |
|
||||
|
||||
## WebSocket Protocol
|
||||
## WebSocket API
|
||||
|
||||
The gateway exposes a WebSocket endpoint at `/ws`. Messages use typed JSON with a `type` discriminator field.
|
||||
|
||||
### Client → Server (WsInbound)
|
||||
|
||||
| Type | Fields |
|
||||
|------|--------|
|
||||
| `user_input` | `content`, `channel?`, `chat_id?`, `sender_id?` |
|
||||
| `create_session` | `title?` |
|
||||
| `list_sessions` | `include_archived` |
|
||||
| `load_session` | `session_id` |
|
||||
| `rename_session` | `session_id?`, `title` |
|
||||
| `archive_session` | `session_id?` |
|
||||
| `delete_session` | `session_id?` |
|
||||
| `clear_history` | `chat_id?`, `session_id?` |
|
||||
| `get_slash_commands` | — |
|
||||
| `ping` | — |
|
||||
|
||||
### Server → Client (WsOutbound)
|
||||
|
||||
| Type | Fields |
|
||||
|------|--------|
|
||||
| `assistant_response` | `session_id`, `response`, `tokens_used?`, `tool_calls?` |
|
||||
| `session_list` | `sessions[]` |
|
||||
| `session_loaded` | `session_id`, `messages[]` |
|
||||
| `session_created` | `session_id`, `title` |
|
||||
| `session_renamed` | `session_id`, `title` |
|
||||
| `session_archived` | `session_id` |
|
||||
| `session_deleted` | `session_id` |
|
||||
| `slash_commands` | `commands[]` |
|
||||
| `error` | `message` |
|
||||
| `pong` | — |
|
||||
|
||||
## HTTP Endpoints
|
||||
The gateway exposes:
|
||||
|
||||
| Method | Path | Description |
|
||||
|--------|------|-------------|
|
||||
| `GET` | `/health` | Health check — returns `{"status":"ok","version":"x.y.z"}` |
|
||||
| `GET` | `/health` | Returns service health and version |
|
||||
| `GET` | `/ws` | WebSocket upgrade for chat clients |
|
||||
|
||||
Inbound WebSocket message types:
|
||||
|
||||
| Type | Main fields |
|
||||
|------|-------------|
|
||||
| `user_input` | `content`, optional `channel`, `chat_id`, `sender_id` |
|
||||
| `clear_history` | optional `chat_id`, `session_id` |
|
||||
| `create_session` | optional `title` |
|
||||
| `list_sessions` | `include_archived` |
|
||||
| `load_session` | `session_id` |
|
||||
| `rename_session` | optional `session_id`, `title` |
|
||||
| `archive_session` | optional `session_id` |
|
||||
| `delete_session` | optional `session_id` |
|
||||
| `get_slash_commands` | none |
|
||||
| `ping` | none |
|
||||
|
||||
Outbound WebSocket message types include `assistant_response`, `error`, `session_established`, `session_created`, `session_list`, `session_loaded`, `session_renamed`, `session_archived`, `session_deleted`, `history_cleared`, `slash_commands_list`, `pong`, `command_executed`, and `system_notification`.
|
||||
|
||||
## Testing
|
||||
|
||||
```bash
|
||||
# Unit tests (no external dependencies)
|
||||
# Unit tests
|
||||
cargo test --lib
|
||||
|
||||
# Integration tests (require API keys)
|
||||
# Integration tests require real API keys in tests/test.env
|
||||
cp tests/test.env.example tests/test.env
|
||||
# Fill in your API keys in tests/test.env
|
||||
cargo test --test test_integration -- --ignored
|
||||
cargo test --test test_tool_calling -- --ignored
|
||||
cargo test --test test_request_format -- --ignored
|
||||
|
||||
# Run all tests
|
||||
cargo test -- --ignored
|
||||
```
|
||||
|
||||
Integration tests are `#[ignore]` by default because they make real API calls.
|
||||
Integration tests are ignored by default because they make real provider calls.
|
||||
|
||||
## Project Structure
|
||||
## Project Layout
|
||||
|
||||
```
|
||||
├── src/
|
||||
│ ├── main.rs # CLI entrypoint (clap-based subcommands)
|
||||
│ ├── lib.rs # Module declarations
|
||||
│ ├── gateway/ # HTTP/WS server, GatewayState initialization
|
||||
│ │ ├── mod.rs
|
||||
│ │ ├── http.rs # Health endpoint
|
||||
│ │ └── ws.rs # WebSocket handler
|
||||
│ ├── client/ # TUI chat client
|
||||
│ │ ├── mod.rs
|
||||
│ │ └── tui/ # Ratatui-based terminal UI
|
||||
│ ├── channels/ # Channel integrations
|
||||
│ │ ├── base.rs # Channel trait
|
||||
│ │ ├── cli_chat.rs # CLI WebSocket channel
|
||||
│ │ ├── feishu.rs # Feishu/Lark webhook channel
|
||||
│ │ ├── manager.rs # ChannelManager
|
||||
│ │ └── slash_command.rs # Slash command parser
|
||||
│ ├── bus/ # Async message bus
|
||||
│ │ ├── mod.rs # MessageBus (tokio mpsc channels)
|
||||
│ │ ├── message.rs # Message types
|
||||
│ │ └── dispatcher.rs # OutboundDispatcher
|
||||
│ ├── session/ # Session & dialog management
|
||||
│ │ ├── mod.rs
|
||||
│ │ ├── session.rs # Session, SessionManager
|
||||
│ │ ├── session_id.rs # UnifiedSessionId
|
||||
│ │ ├── commands.rs # SessionCommand enum
|
||||
│ │ └── events.rs # SessionEvent, DialogInfo
|
||||
│ ├── agent/ # LLM interaction loop
|
||||
│ │ ├── mod.rs
|
||||
│ │ ├── agent_loop.rs # AgentLoop (stateless)
|
||||
│ │ ├── context_compressor.rs # Token estimation & summarization
|
||||
│ │ └── system_prompt.rs # System prompt builder
|
||||
│ ├── providers/ # LLM API clients
|
||||
│ │ ├── mod.rs # Factory: create_provider()
|
||||
│ │ ├── traits.rs # LLMProvider trait
|
||||
│ │ ├── openai.rs # OpenAI-compatible client
|
||||
│ │ └── anthropic.rs # Anthropic Messages API client
|
||||
│ ├── tools/ # Agent tools
|
||||
│ │ ├── mod.rs # create_default_tools()
|
||||
│ │ ├── registry.rs # ToolRegistry
|
||||
│ │ ├── traits.rs # Tool trait, ToolResult
|
||||
│ │ ├── schema.rs # Cross-provider JSON Schema cleaner
|
||||
│ │ ├── bash.rs # Shell command execution
|
||||
│ │ ├── calculator.rs # Math expression evaluator
|
||||
│ │ ├── chat_manager.rs # Session management tool
|
||||
│ │ ├── cron.rs # Cron job management tools
|
||||
│ │ ├── file_read.rs # File reader
|
||||
│ │ ├── file_write.rs # File writer
|
||||
│ │ ├── file_edit.rs # File editor (string substitution)
|
||||
│ │ ├── get_skill.rs # Skill loader tool
|
||||
│ │ ├── http_request.rs # HTTP request tool
|
||||
│ │ ├── send_message.rs # Cross-channel messaging
|
||||
│ │ └── web_fetch.rs # Web page fetcher
|
||||
│ ├── skills/ # Skills loading from markdown files
|
||||
│ │ └── mod.rs # SkillsLoader, Skill
|
||||
│ ├── storage/ # SQLite persistence
|
||||
│ │ ├── mod.rs # Storage, schema init
|
||||
│ │ ├── session.rs # Session CRUD operations
|
||||
│ │ ├── message.rs # Message persistence
|
||||
│ │ ├── scheduler.rs # ScheduledJob, JobRun storage
|
||||
│ │ └── error.rs # StorageError
|
||||
│ ├── scheduler/ # Cron scheduler runtime
|
||||
│ │ ├── mod.rs # Scheduler, next_run_for_schedule()
|
||||
│ │ └── types.rs # Schedule enum (At/Every/Cron)
|
||||
│ ├── observability/ # Telemetry observer pattern
|
||||
│ │ └── mod.rs # Observer trait, ObserverEvent, MultiObserver
|
||||
│ ├── protocol.rs # WebSocket message types (WsInbound/WsOutbound)
|
||||
│ ├── config/ # Config loading & env substitution
|
||||
│ │ └── mod.rs # Config, LLMProviderConfig, load_env_file()
|
||||
│ └── logging.rs # Tracing subscriber init with file rotation
|
||||
├── tests/
|
||||
│ ├── test_integration.rs # LLM provider integration tests
|
||||
│ ├── test_tool_calling.rs # Tool calling integration tests
|
||||
│ ├── test_request_format.rs # Request format tests
|
||||
│ ├── test_scheduler.rs # Scheduler unit tests
|
||||
│ ├── test.env.example # Test environment template
|
||||
│ └── test.env # Actual test keys (gitignored)
|
||||
├── reference/ # Third-party reference code (do not modify)
|
||||
├── resources/ # Assets embedded in binary
|
||||
│ └── templates/ # Templates released to ~/.picobot/ on first run
|
||||
├── config.example.json # Full config example
|
||||
└── Cargo.toml
|
||||
```text
|
||||
src/
|
||||
agent/ LLM loop, context compression, system prompts, media handling, sub-agents
|
||||
bus/ Inbound, outbound, and control message queues
|
||||
channels/ CLI chat and Feishu/Lark integrations
|
||||
client/ Ratatui terminal UI
|
||||
config/ Config loading, env substitution, path expansion
|
||||
gateway/ Axum HTTP/WebSocket server and GatewayState wiring
|
||||
mcp/ MCP client connections and tool wrappers
|
||||
memory/ Memory manager and memory types
|
||||
observability/ Agent/tool telemetry observer interfaces
|
||||
providers/ OpenAI-compatible and Anthropic clients
|
||||
scheduler/ Scheduled job runtime
|
||||
session/ Session lifecycle, dialog commands, persistence integration
|
||||
skills/ Skill loading and embedded built-in skill installation
|
||||
storage/ SQLite schema and CRUD
|
||||
tools/ Agent tool implementations
|
||||
resources/
|
||||
skills/ Built-in skills embedded at build time
|
||||
templates/ Config, AGENTS.md, and USER.md templates released on first run
|
||||
tests/ Unit and ignored integration tests
|
||||
reference/ Third-party reference code; do not modify as project source
|
||||
```
|
||||
|
||||
## Key Dependencies
|
||||
|
||||
| Crate | Purpose |
|
||||
|-------|---------|
|
||||
| `axum` + `tokio-tungstenite` | HTTP server & WebSocket |
|
||||
| `sqlx` (SQLite) | Session/Message/Job persistence |
|
||||
| `reqwest` (rustls) | LLM API & external HTTP calls |
|
||||
| `ratatui` + `crossterm` | Terminal UI |
|
||||
| `clap` | CLI argument parsing |
|
||||
| `tracing` + `tracing-subscriber` | Structured logging |
|
||||
| `cron` + `chrono-tz` | Cron schedule parsing |
|
||||
| `meval` | Mathematical expression evaluation |
|
||||
| `uuid` | Session/Dialog ID generation |
|
||||
| `dirs` | Platform config directory resolution |
|
||||
| `axum`, `tokio`, `tokio-tungstenite` | Gateway and WebSocket runtime |
|
||||
| `sqlx` | SQLite persistence |
|
||||
| `reqwest` | LLM and HTTP clients |
|
||||
| `ratatui`, `crossterm`, `termimad` | Terminal UI |
|
||||
| `rmcp` | MCP client support |
|
||||
| `fantoccini` | Optional browser automation |
|
||||
| `cron`, `chrono-tz` | Scheduling |
|
||||
| `jieba-rs` | Chinese tokenization for memory search |
|
||||
| `zstd`, `tar` | Embedded built-in skill packaging |
|
||||
|
||||
16
docker-compose.yml
Normal file
16
docker-compose.yml
Normal file
@ -0,0 +1,16 @@
|
||||
services:
|
||||
picobot:
|
||||
image: picobot:latest
|
||||
container_name: picobot
|
||||
restart: unless-stopped
|
||||
ports:
|
||||
- "19876:19876"
|
||||
volumes:
|
||||
- ~/.picobot/config.json:/app/.picobot/config.json:ro
|
||||
- picobot_data:/app/.picobot
|
||||
environment:
|
||||
- RUST_LOG=info
|
||||
command: gateway
|
||||
|
||||
volumes:
|
||||
picobot_data:
|
||||
@ -5,7 +5,7 @@ always: true
|
||||
---
|
||||
# About PicoBot
|
||||
|
||||
PicoBot 是一个基于 Rust 的个人 AI 助手，支持多渠道（飞书、CLI）、长记忆、定时任务、Skill 系统等。
|
||||
PicoBot 是一个基于 Rust 的个人 AI 助手运行时，包含本地 Gateway、CLI TUI 客户端、飞书渠道、SQLite 会话持久化、长期记忆、定时任务、Skill 系统、MCP 工具接入和子 Agent 委托能力。
|
||||
|
||||
## 目录索引
|
||||
|
||||
@ -13,10 +13,10 @@ PicoBot 是一个基于 Rust 的个人 AI 助手，支持多渠道（飞书、CL
|
||||
|
||||
| 文件 | 内容 |
|
||||
|------|------|
|
||||
| `references/config.md` | 配置字段详解：providers、models、agents、gateway、memory、channels、mcp |
|
||||
| `references/db-schema.md` | 数据库表结构：sessions、messages、memories、scheduled_jobs、llm_calls |
|
||||
| `references/architecture.md` | 核心架构：数据流、会话系统、上下文压缩、记忆系统、Skill 优先级机制 |
|
||||
| `references/faq.md` | 常见问题：模型切换、渠道添加、Skill 安装、历史查询、定时任务等 |
|
||||
| `references/config.md` | 配置字段详解：providers、models、agents、gateway、client、channels、memory、mcp、browser |
|
||||
| `references/db-schema.md` | 数据库表结构：sessions、messages、memories、scheduled_jobs、llm_calls、background_tasks |
|
||||
| `references/architecture.md` | 核心架构：数据流、会话系统、上下文压缩、记忆系统、Skill 优先级、MCP、子 Agent |
|
||||
| `references/faq.md` | 常见问题：模型切换、渠道添加、Skill 安装、历史查询、定时任务、MCP 等 |
|
||||
| `references/commands.md` | 常用命令：编译、启动网关、启动客户端、运行测试 |
|
||||
| `assets/config.example.json` | config.json 完整示例 |
|
||||
|
||||
|
||||
@ -72,5 +72,15 @@
|
||||
"timeline_retention_days": 90,
|
||||
"max_failures_before_degrade": 3
|
||||
},
|
||||
"mcp": {
|
||||
"servers": [],
|
||||
"tool_timeout_secs": 180
|
||||
},
|
||||
"browser": {
|
||||
"enabled": false,
|
||||
"webdriver_url": "http://127.0.0.1:9515",
|
||||
"headless": true,
|
||||
"chrome_path": null
|
||||
},
|
||||
"workspace_dir": "~/.picobot/workspace"
|
||||
}
|
||||
|
||||
@ -17,9 +17,9 @@ Channel → MessageBus → SessionManager → AgentLoop → (tools) → SessionM
|
||||
| `channels` | 外部集成（飞书、CLI），仅收发消息 |
|
||||
| `bus` | 异步消息队列，纯队列不路由 |
|
||||
| `session` | 会话生命周期管理、dialog 操作 |
|
||||
| `agent` | LLM 调用循环、工具执行、上下文压缩 |
|
||||
| `agent` | LLM 调用循环、工具执行、上下文压缩、媒体处理、子 Agent |
|
||||
| `providers` | LLM API 客户端（OpenAI 兼容、Anthropic） |
|
||||
| `tools` | Agent 工具（bash、文件操作、HTTP、web、get_skill 等） |
|
||||
| `tools` | Agent 工具（bash、文件操作、搜索、HTTP、web、browser、memory、delegate 等） |
|
||||
| `skills` | Skill 加载、管理和 prompt 构建 |
|
||||
| `storage` | SQLite 持久化 |
|
||||
| `scheduler` | Cron 作业调度 |
|
||||
@ -37,6 +37,8 @@ Channel → MessageBus → SessionManager → AgentLoop → (tools) → SessionM
|
||||
- AgentLoop 无状态，接收 dialog 事件调用 LLM、执行工具
|
||||
- Providers 是纯 HTTP 客户端，无 bus/session/channel 感知
|
||||
- Tools 接收原始参数，返回字符串结果
|
||||
- MCP 工具在 Gateway 初始化时连接服务器、发现工具，并包装成普通 Tool 注册到 ToolRegistry
|
||||
- 子 Agent 由 `delegate` 工具创建，复用 provider 配置和按需过滤后的工具集；后台任务结果通过 MessageBus 发回原会话
|
||||
|
||||
## 关键约束
|
||||
|
||||
@ -45,6 +47,7 @@ Channel → MessageBus → SessionManager → AgentLoop → (tools) → SessionM
|
||||
- ChannelManager 持有 MessageBus 和所有 channel
|
||||
- OutboundDispatcher 通过 ChannelManager 路由出站消息
|
||||
- Config `.env` 加载使用 `unsafe { env::set_var(...) }`
|
||||
- `browser` 工具只有在 `browser.enabled=true` 时注册，依赖 Chrome/Chromium 与 WebDriver
|
||||
|
||||
## 上下文压缩
|
||||
|
||||
@ -192,3 +195,48 @@ LLM 对话上下文接近 token 限制 (默认 128K × 70%) 时自动触发压
|
||||
| 有压缩历史时 | `HistorySection` 提示 LLM 使用 `timeline_recall` |
|
||||
| 压缩完成后 | 摘要自动存储为 Timeline 记忆 |
|
||||
| 空闲时 | 可配置自动 consolidation（`idle_consolidation_minutes`） |
|
||||
|
||||
---
|
||||
|
||||
## MCP 工具集成
|
||||
|
||||
Gateway 初始化时读取 `config.mcp.servers`：
|
||||
|
||||
1. 按服务器配置连接 `stdio`、`sse` 或 `streamable-http` 传输
|
||||
2. 调用 MCP `list_tools`
|
||||
3. 将每个 MCP tool 包装为 `McpToolWrapper`
|
||||
4. 注册到当前 session 的 `ToolRegistry`
|
||||
|
||||
`/mcp` 斜杠命令会显示 MCP 服务器连接状态和工具列表。
|
||||
|
||||
---
|
||||
|
||||
## 子 Agent / delegate
|
||||
|
||||
`delegate` 工具用于把独立任务交给子 Agent：
|
||||
|
||||
| 模式 | 行为 |
|
||||
|------|------|
|
||||
| `inline` | 当前轮阻塞等待子 Agent 返回 |
|
||||
| `background` | 后台运行，完成后通过原 channel/chat 通知 |
|
||||
| `parallel` | 多个子 Agent 并发执行并聚合结果 |
|
||||
|
||||
默认工具集是只读工具：`file_read`、`file_search`、`content_search`、`web_fetch`、`http_request`、`calculator`。调用时可通过 `allowed_tools` 显式放开其他工具。后台任务会写入 `background_tasks` 表，默认 24 小时后清理。
|
||||
|
||||
---
|
||||
|
||||
## 当前斜杠命令
|
||||
|
||||
| 命令 | 说明 |
|
||||
|------|------|
|
||||
| `/new` | 创建新对话 |
|
||||
| `/sessions` | 列出最近对话 |
|
||||
| `/switch <dialog_id>` | 切换到指定对话 |
|
||||
| `/rename <title>` | 重命名当前对话 |
|
||||
| `/delete` | 删除当前对话 |
|
||||
| `/compact` | 手动触发上下文压缩 |
|
||||
| `/info` | 显示当前对话信息 |
|
||||
| `/dump` | 保存当前对话为 markdown |
|
||||
| `/?`, `/help` | 显示帮助 |
|
||||
| `/mcp` | 显示 MCP 状态 |
|
||||
| `/stop` | 停止当前任务并清空消息队列 |
|
||||
|
||||
@ -14,8 +14,9 @@
|
||||
"client": {}, // 客户端配置
|
||||
"channels": {}, // 渠道配置
|
||||
"memory": {}, // 记忆系统配置
|
||||
"workspace_dir": // 工作目录，默认 ~/.picobot/workspace
|
||||
"mcp": {} // MCP 服务器配置
|
||||
"workspace_dir": "", // 工作目录，默认 ~/.picobot/workspace
|
||||
"mcp": {}, // MCP 服务器配置
|
||||
"browser": {} // 可选浏览器自动化配置
|
||||
}
|
||||
```
|
||||
|
||||
@ -57,8 +58,17 @@
|
||||
| `session_ttl_hours` | int | - | 会话过期小时数 |
|
||||
| `session_db_path` | string | - | SQLite 数据库路径，默认在 workspace 下 |
|
||||
| `cleanup_interval_minutes` | int | - | 清理间隔 |
|
||||
| `max_concurrent_background_tasks` | int | 10 | delegate 后台子任务最大并发数 |
|
||||
| `scheduler` | object | - | 调度器配置 |
|
||||
|
||||
### gateway.scheduler 字段
|
||||
|
||||
| 字段 | 类型 | 默认 | 说明 |
|
||||
|------|------|------|------|
|
||||
| `enabled` | bool | true | 是否启动调度器并注册 cron 工具 |
|
||||
| `poll_interval_secs` | int | 60 | 检查到期任务的轮询间隔 |
|
||||
| `max_concurrent` | int | 1 | 最大并发任务数，当前实现预留 |
|
||||
|
||||
## memory 字段
|
||||
|
||||
| 字段 | 类型 | 默认 | 说明 |
|
||||
@ -94,8 +104,21 @@ MCP 服务器单条配置:
|
||||
| 字段 | 说明 |
|
||||
|------|------|
|
||||
| `name` | 服务器名称 |
|
||||
| `transport` | 传输方式: `Stdio`、`Sse`、`streamable-http` |
|
||||
| `command` | 启动命令（Stdio 模式） |
|
||||
| `transport` | 传输方式: `stdio`、`sse`、`streamable-http` |
|
||||
| `command` | 启动命令（stdio 模式） |
|
||||
| `args` | 命令参数 |
|
||||
| `url` | URL（Sse / streamable-http 模式） |
|
||||
| `env` | 子进程环境变量 |
|
||||
| `url` | URL（sse / streamable-http 模式） |
|
||||
| `headers` | HTTP 传输额外请求头 |
|
||||
| `tool_timeout_secs` | 单独的超时设置 |
|
||||
|
||||
## browser 字段
|
||||
|
||||
浏览器工具默认关闭，开启后注册 `browser` 工具。依赖 Chrome/Chromium 与 chromedriver/WebDriver。
|
||||
|
||||
| 字段 | 类型 | 默认 | 说明 |
|
||||
|------|------|------|------|
|
||||
| `enabled` | bool | false | 是否启用浏览器工具 |
|
||||
| `webdriver_url` | string | http://127.0.0.1:9515 | WebDriver 服务地址 |
|
||||
| `headless` | bool | true | 是否无头运行 |
|
||||
| `chrome_path` | string | - | 自定义 Chrome/Chromium 路径 |
|
||||
|
||||
@ -36,6 +36,28 @@
|
||||
| `tool_calls` | TEXT | 工具调用参数 JSON |
|
||||
| `source` | TEXT | 消息来源（跨会话消息时标记来源 session_id） |
|
||||
| `created_at` | INTEGER | 创建时间（unix 秒） |
|
||||
| `reasoning_content` | TEXT | provider 返回的推理内容（如有） |
|
||||
|
||||
## background_tasks 表
|
||||
|
||||
delegate 后台子任务表。`session_id` 不使用数据库外键，因为 session 使用软删除，关联关系由应用层维护。
|
||||
|
||||
| 字段 | 类型 | 说明 |
|
||||
|------|------|------|
|
||||
| `id` | TEXT PK | 后台任务 ID |
|
||||
| `session_id` | TEXT | 所属会话 |
|
||||
| `channel` | TEXT | 回传渠道 |
|
||||
| `chat_id` | TEXT | 回传目标对话 |
|
||||
| `prompt` | TEXT | 子任务提示 |
|
||||
| `allowed_tools` | TEXT | 允许工具 JSON |
|
||||
| `status` | TEXT | pending / running / completed / failed / cancelled |
|
||||
| `result` | TEXT | 执行结果 |
|
||||
| `error` | TEXT | 错误信息 |
|
||||
| `tool_calls_count` | INTEGER | 工具调用次数 |
|
||||
| `iterations` | INTEGER | Agent 迭代次数 |
|
||||
| `started_at` | INTEGER | 开始时间 |
|
||||
| `finished_at` | INTEGER | 结束时间 |
|
||||
| `created_at` | INTEGER | 创建时间 |
|
||||
|
||||
## memories 表
|
||||
|
||||
|
||||
@ -124,9 +124,51 @@
|
||||
|
||||
---
|
||||
|
||||
## file_read / file_write / file_edit / file_search — 文件操作
|
||||
## delegate — 子 Agent 委托
|
||||
|
||||
工作目录内的文件读写编辑和搜索。详细的参数定义见各工具的 parameters_schema。
|
||||
创建子 Agent 处理独立任务。
|
||||
|
||||
| 参数 | 必填 | 说明 |
|
||||
|------|------|------|
|
||||
| `action` | 是 | `run`, `check_task`, `cancel_task`, `list_tasks` |
|
||||
| `prompt` | run 必填 | 子任务描述 |
|
||||
| `mode` | 否 | `inline`, `background`, `parallel`，默认 `inline` |
|
||||
| `allowed_tools` | 否 | 子 Agent 可用工具列表；默认只读工具集 |
|
||||
| `max_iterations` | 否 | 最大迭代次数，默认 99 |
|
||||
| `timeout_secs` | 否 | 超时秒数，默认 3600 |
|
||||
| `tasks` | parallel 必填 | 并行子任务数组 |
|
||||
| `task_id` | 查询/取消必填 | 后台任务 ID |
|
||||
|
||||
默认只读工具集：`file_read`、`file_search`、`content_search`、`web_fetch`、`http_request`、`calculator`。
|
||||
|
||||
---
|
||||
|
||||
## browser — 浏览器自动化
|
||||
|
||||
仅在 `browser.enabled=true` 时注册。底层使用 WebDriver/Chrome。
|
||||
|
||||
| action | 说明 |
|
||||
|--------|------|
|
||||
| `open` | 打开 URL |
|
||||
| `snapshot` | 获取页面结构快照 |
|
||||
| `click`, `click_at` | 点击元素或坐标 |
|
||||
| `fill`, `type`, `press` | 输入文本或按键 |
|
||||
| `get_text`, `get_title`, `get_url` | 读取页面信息 |
|
||||
| `screenshot` | 截图，可写入文件或返回 base64 |
|
||||
| `focus`, `hover`, `scroll`, `wait` | 常见交互和等待 |
|
||||
| `close` | 关闭浏览器会话 |
|
||||
|
||||
---
|
||||
|
||||
## MCP 工具
|
||||
|
||||
如果 `config.mcp.servers` 配置了 MCP 服务器，Gateway 启动时会连接服务器、发现工具，并把 MCP 工具包装后注册到 ToolRegistry。使用 `/mcp` 查看当前连接状态和工具列表。
|
||||
|
||||
---
|
||||
|
||||
## file_read / file_write / file_edit / file_search / content_search — 文件操作和搜索
|
||||
|
||||
工作目录内的文件读写编辑、文件名搜索和内容搜索。详细的参数定义见各工具的 parameters_schema。
|
||||
|
||||
## bash — 执行命令
|
||||
|
||||
|
||||
@ -72,5 +72,15 @@
|
||||
"timeline_retention_days": 90,
|
||||
"max_failures_before_degrade": 3
|
||||
},
|
||||
"mcp": {
|
||||
"servers": [],
|
||||
"tool_timeout_secs": 180
|
||||
},
|
||||
"browser": {
|
||||
"enabled": false,
|
||||
"webdriver_url": "http://127.0.0.1:9515",
|
||||
"headless": true,
|
||||
"chrome_path": null
|
||||
},
|
||||
"workspace_dir": "~/.picobot/workspace"
|
||||
}
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user