JianFeeeee 09071dc235 fix(multimodal): 修多模态假成功 + 落地视觉回退链 + see_video 帧数语义
## 起因

生产盲测:模型调 multimodal_see_picture 后声称看到了图,实际一个字
都没收到。工具却返回「[已将图片注入后续对话]」。

链路:core.llm.model=AUTO → llmsproxy 按优先级选 big-pickle(prio=100)
→ 转 opencode zen。llmsproxy 的 opencode.lua 明写着:

    -- zen 上游 schema 只接受 text content part(无视觉/音频能力)
    if part.type ~= nil and part.type ~= "text" then  -- 丢弃

判据:256x256 纯红 PNG,带图与不带图的 prompt_tokens 都是 256。
图片贡献零 token,即根本没进上游。

内核序列化与注入链本身是对的(Message.MarshalJSON 正确产出 content
数组,SetToolBlocks → IOManager → ConsumeToolBlocks → toolMsg.Blocks
全通)。缺的是「主模型能否消费这些块」这一判断——内核此前完全没有
多模态能力的概念(grep supportsVision|multimodal 在 agent/ 零命中)。

这与 v1.0.0 修的 output_send 假成功同类:告诉调用方成功而实际未送达。

## 1. 能力声明

新增 core.llm.sources.<name>.vision / .audio(走既有 sourceFieldDefs,
WebUI 配置页自动出现),types.LLMSource 与 api.BaseConfig 同步加字段。

新增 agentAPI.ModalProvider 接口 + ProviderSupportsVision/Audio 判定:
未实现该接口的 provider 一律按不支持处理。保守侧是刻意的——宁可多走
一次文字回退,也不能把图默默扔给会剥掉它的上游。

为何是声明而非探测:探测需额外真实调用且结果不稳定(取决于 AUTO 当次
路由到哪);而 200 响应 + 相同 token 数从响应侧无法区分「看到了但没
内容」和「被剥掉了」。

## 2. 回退链(modalfallback.go)

实现了 config/registry.go 里注册但从未被读取的 image/audio
fallback_provider + fallback_model(此前 0 处读取点)。

prepareToolBlocks 在 process.go 注入前判定:能直视就原样透传;不能就
调声明了该能力的源转写成文字,带 [由 X 转写,非当前模型直接感知] 标注。

几处刻意的设计:
- 逐模态判定,不一刀切。很多视觉模型能看图但听不到音频,全部降级会
  白白把可直视的图变成二手描述
- 混合场景下转写文字作为 text 块并入 native,两部分同时到达模型
- 配置指向未声明能力的源时拒绝并继续找——照用只会重演静默剥离
- 未配 fallback_provider 但某源声明了 vision 时自动扫出来用;静默失败
  比多找一个能用的源更糟
- 空回复算失败。上游剥掉媒体后模型往往回「我没看到图片」或空串,两种
  都说明回退链也没真看到
- 多媒体块按模态合包为一次请求(见下)

## 3. 批量合包(生产实测驱动的返工)

首版逐块调用,生产 see_video 6 帧实测:4 帧里 3 帧超时,整轮 363 秒。
改为按模态合包一次请求后同一用例 131 秒、6/6 成功。

顺带把 modalFallbackTimeout 从 90s 提到 180s:生产经网关转
claude-opus-5 看一张 400x400 图要 ~81s,90s 贴着上限。
多张时 detail 默认 low 控体积,单张用 high 看细节;插件显式给了
detail 则尊重它。

## 4. see_video 帧数语义

fps=1/N 是频率(每 N 秒一帧)不是数量。20s 视频实测:
frames=4 → 5 帧、frames=10 → 2 帧、frames=1 → 20 帧,要得越多拿得越少;
长视频下 frames=4 会产出 时长/4 帧,靠 i>=9 的 break 兜着才没炸上下文,
而那个 break 用的是 ReadDir 索引,跳过条目后与实际帧数错位。

改为 ffprobe 取时长 → fps=N/时长 + -frames:v N 硬封顶。
0.4s/3s/20s/120s × frames=1/2/4/7/10 全部精确。

极短视频的坑:fps=1 在 0.4s 素材上产出 0 帧(不足一秒抽不出),所以
时长探测失败时不能退化成 fps=1,改为不传 -vf 只靠 -frames:v。

## 验证

- modalfallback_test.go 14 例:直视透传 / 回退转写 / 无源如实报告 /
  未实现接口按不支持 / 混合模态拆分 / 空回复算失败 / 块数上限 /
  多图合一次调用 / detail 策略 / 拒绝未声明能力的源 / 未配置时自动扫源
- go test ./... 全绿,go vet 无警告
- 生产盲测(答案预先封存、生成时不读):随机三色带 → 模型答
  「紫、蓝、红」,与封存答案完全一致
- 负向验证:拿掉回退源后模型如实回答「没看到图片内容」并引用工具返回
  的配置提示,且主动纠正了上一轮的答案
- 生产 see_video 6 帧:单次转写,模型正确描述测试图卡的计数器递增与
  彩虹带滚动
2026-09-04 06:25:51 +08:00
2026-07-29 15:45:24 +08:00

⚠️ AI-Assisted Programming Notice: Parts of this project's code, documentation, and commit history were generated or modified with AI assistance. Key changes have been human-reviewed, but please evaluate and verify before use.

HomeAgent

中文: README.md

An Agent framework designed around separation of core domain and application domain. The kernel enforces a zero-IO policy — all external interaction (WebUI, QQ, CLI, file operations, web search, memos, etc.) is handled by the plugin layer; the kernel performs no direct IO operations.

Combined with a three-layer memory architecture (Context → Document → Graph), it maintains contextual coherence across long-running single-conversation sessions through tiered storage and automated archival.

homed (kernel, zero IO)  PluginSDK  plugins (all IO capabilities)

Since v1.0.0 external plugins are independent subprocesses, communicating with the kernel over stdio JSON-RPC (control plane) + a shared memory segment (data plane) + an event ring (notification plane). A plugin crash cannot take down the kernel and it restarts automatically; swapping plugin.bin gives true hot-reload.

Design Principles

Separation of Core Domain and Application Domain — The kernel's responsibilities are limited to LLM orchestration, memory management, and knowledge retrieval; all IO capabilities (message send/receive, file read/write, network requests, hardware interaction, etc.) are implemented by plugins. This separation defines domain boundaries at the Agent framework level, with distinct responsibility scopes for the kernel and plugins.

Three-Layer Memory Architecture — Manages information retention in long-running agents through a tiered storage strategy:

  • Context Layer: Pretrained word embedding / TF-IDF fallback relevance-scored event window, protects last 10 entries, maintains topK context entries
  • Document Layer: Temporary memory with automatic cold data sinking, also supports user-initiated submissions
  • Graph Layer: SQLite graph database, persists entity relationships and semantic memory, supports distillation pipelines to extract triples from conversations

Architecture Diagrams

1. Message Processing Sequence

sequenceDiagram
    participant U as User/Plugin
    participant IO as IOManager
    participant EV as eventLoop
    participant CTX as RelevanceContext
    participant LLM as LLM+Tool Loop
    participant ST as StageHost
    participant MEM as Three-Layer Memory

    U->>IO: InjectInput(type, payload)
    IO->>EV: inputCh
    rect lavender
        Note over EV: processTextInput
        EV->>ST: StageOnInput  Plugin can rewrite/short-circuit
        EV->>CTX: Prune(input,topK)  StaticEmbedder/TF-IDF cosine pruning
        CTX->>MEM: Low-score events archived to Document (original timestamp)
        EV->>CTX: Append(input)  CleanTemplateText→three-branch vector→5s write
    end
    rect lightgreen
        Note over EV,LLM: process()
        EV->>MEM: buildMemoryContext  Indexer recalls from Graph (vector+jieba→BFS depth=2)
        EV->>MEM: buildSystemPrompt  DocQuery summary+Graph memory index+Persona+Skills
        EV->>ST: StagePreAction  Plugin can pre-intercept
        loop Tool loop
            LLM->>LLM: drainInterrupts
            LLM->>LLM: LLM Chat
            LLM->>ST: StagePostAction  Plugin can modify/short-circuit
            alt No tool call
                LLM-->>EV: Returns response
            else
                loop Each tool
                    ST->>ST: StageBeforeToolcall  Plugin can reject
                    LLM->>LLM: executeToolCall
                    ST->>ST: StageAfterToolcall
                end
            end
        end
    end
    rect lightpink
        Note over EV: emitResponse
        CTX->>CTX: Append(response)
        ST->>ST: StageBeforeOutput  Plugin can rewrite
        EV-->>U: ResponseCh CLI sync
        EV-->>EV: Event bus WebUI SSE
        ST->>ST: StageAfterOutput  Read-only
        EV->>MEM: emitMemoryCandidate
    end

2. Stage Pipeline

flowchart LR
    S1[① on_input] --> S2[② pre_action]
    S2 --> S3[③ post_action]
    S3 --> Q{Has tool?}
    Q -->|Yes| S4[④ before_toolcall]
    S4 --> T[executeToolCall]
    T --> S5[⑤ after_toolcall]
    S5 --> S3
    Q -->|No| S6[⑥ before_output]
    S6 --> S7[⑦ after_output]
    style S1 fill:#e1f5fe
    style S3 fill:#fff3e0
    style S6 fill:#e8f5e9

3. Three-Layer Memory

flowchart TB
    subgraph C[① Context Working Window]
        RC[RelevanceContext]
        A[Append] -->|CleanTemplateText→three-branch vector| RC
        P[Prune StaticEmbedder/TF-IDF Cosine] -->|Low score original timestamp| D
        P -->|Keep| TL[timeline→chronological→system prompt]
    end
    subgraph D[② Document File Memory]
        DS[DocStore JSON+TF-IDF]
        Q1[Query summary auto-inject] -->|[Related Memory Docs]| SP
        Q2[doc_query LLM active recall] -->|Consume+delete source| DS
        Q2 -->|Original timestamp write to context| RC
        CD[FindColdDocs 72h] -->|docToTriples| G
    end
    subgraph G[③ Graph Database]
        DB[(SQLite)]
        IDX[Indexer vector+jieba→BFS depth=2] -->|[Memory Index]| SP
        MEM[memory_recall/commit/merge/purge/edit]
        SOC[person_query/set_trait]
    end
    subgraph H[④ Heartbeat Distillation]
        REORG -->|Step3 Cold docs| CD
        REORG -->|Step4 Bigram Jaccard| CONS[consolidation]
        PIPE[Pipeline regex] -->|Name/Address/Likes/Age/Job| DB
    end
    SP[System Prompt] -->|Sequential assembly| LLM
    LLM[LLM] -->|doc_query| Q2
    LLM -->|memory_recall| MEM

See assets/docs/en/ARCHITECTURE.md for details.

Web Mascot

HomeAgent Web Mascot Xiaozhai

Xiaozhai — HomeAgent Web Mascot

Quick Start

make build build-cli
./build/homed -data /tmp/ha
# Interactive mode
./build/waiter

# Or single message
echo "Hello, remember that I like coffee" | ./build/waiter

API keys are configured via WebUI http://localhost:8080 settings page, persisted in SQLite.

Code Structure

cmd/homed/          Daemon entry, assembles all subsystems
cmd/waiter/         CLI client (Unix socket)
internal/
├── agent/core/     Agent core: event loop, LLM tool loop, 7-stage pipeline
├── agent/api/      LLM Provider + 8 Lua adapters
├── memory/         Three-layer memory: Graph(SQLite) / Document(JSON+TF-IDF) / Text(JSONL) + StaticEmbedder(pretrained word embedding/TF-IDF fallback) + CleanTemplateText(de-template)
├── knowledge/      Knowledge base (filesystem + TF-IDF)
├── plugin/         Plugin registry + subprocess loader (stdio RPC + shared memory segment + event ring)
├── plugins/        11 built-in plugins (webui/cli/timer/cmd/mcp/clawhubadapter/agentcli/healthcheck/pluginmgr/files/cfgmgr)
├── sdk/            PluginSDK (Tool/Stage/Event three channels)
├── config/         SQLite config center
├── events/         Event bus
└── internal/lua/adapters/   8 LLM protocol adapter scripts
External plugin development: see [homeagent-sdk](https://gitcode.com/JianFeeeee/homeagent-sdk) repo, use `plugindev` toolchain, refer to Go and Lua examples in `example/`

Project Status

v1.0.0 — External plugins moved from C ABI shared libraries to subprocess + shared memory. The first release that no longer loads .so/.dll, and it is incompatible with 0.9.x (existing plugins must be rebuilt into plugin.bin with the new plugindev, though business code needs zero changes). Eliminates 6 classes of defects that had caused production incidents: hot-reload silently failing (DF_1_NODELETE making dlclose a no-op), no crash isolation (a plugin panic took down homed), stage lost updates (35.8~36.8% loss under the copy model), uncancellable cgo timeouts (linear OS-thread leaks), output_send reporting false success (the model was told "sent" while the message never went out), and Windows capability degradation (only 3 stage fields visible, no write-back). Three communication planes: stdio JSON-RPC (control) + shared memory segment (data) + event ring (notification); the privilege gradient is now enforced by three explicit gates. RPC round-trip p50 24.1µs; crash-to-recovery under 1s.

v0.9.0 — C ABI v2: external plugin Stage callbacks can now write back (invoke_stage gained a result out-param; plugins may mutate RawMessage/LLMText/ToolResults etc. in OnInput/AfterToolcall/PostAction and have them synced to the core). ABI version now tracks core minor releases (v0.9.x → ABIVersion=2, version_min=1 keeps old plugins loadable). Also fixes the tool-loop zen-compat placeholder that wrongly fired on first-turn system context tail. The SDK ships an enhanced sanitizer example (bad-UTF-8 / U+FFFD / ANSI-escape scrub across the whole pipeline). This ABI retired with v1.0.0.

v0.8.0 — Core is functional, plugin system enhanced. 20+ built-in plugins. External plugin development via homeagent-sdk repo. Added input channel NoMemory/Cleaner, ChannelDef, plugin disable/enable system (CLI + WebUI), plugindev toolchain C ABI ChannelDef support.

Documentation

Downloads

Releases ship three variants:

Variant Contents For
full homed + waiter + desktop GUI + systemd unit Single-machine, everything
server homed + waiter + systemd unit Servers (no desktop environment)
client waiter + desktop GUI Connecting to a remote HomeAgent
  • Linux: .deb (amd64/arm64), .rpm (x86_64), .tar.gz
  • Windows: HomeAgent_v1.0.0_{Full,Server,Client}_win64.exe (NSIS installer)
  • Portable: homeagent-bin-<os>_<arch>.tar.gz (homed/waiter/initconfig)
  • Verification: SHA256SUMS

The macOS homed requires a native macOS build (CGO + sqlite3), so release packages ship only waiter/initconfig.

Build

make build build-cli    # Build daemon + CLI
make test               # go test ./...
make install            # Install to system

Dependencies: Go 1.25+, CGo (go-sqlite3), Linux/Windows.

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