fix: expand playground diagnostics and compose fallback

VERSION

@@ -1 +1 @@
-0.24.2
+0.24.3

docs/CHANGELOG.md

@@ -7,6 +7,25 @@ This project follows the repository versioning rule:
 - `feature` -> `+0.1.0`
 - `bugfix` -> `+0.0.1`
 
+## 0.24.3
+
+Released: 2026-04-09
+
+### Highlights
+
+- Extended `AI Playground` from a minimal prompt form into a more repeatable diagnostics workspace, and hardened `planet.sh` so AI Provider restarts can rebuild changed images and expose clearer Compose fallback behavior.
+
+### Improved
+
+- Improved [frontend/src/pages/Playground/Playground.tsx](/home/ray/dev/linkong/planet/frontend/src/pages/Playground/Playground.tsx) by adding preset scenarios, response metadata, `thinking` block visibility, raw JSON inspection, and copy actions so the page works more like a proper AI diagnostics console.
+- Improved [frontend/src/index.css](/home/ray/dev/linkong/planet/frontend/src/index.css) by styling Playground presets, result metadata, raw response sections, and responsive action groups without breaking the single-screen workspace layout.
+- Improved [planet.sh](/home/ray/dev/linkong/planet/planet.sh) so AI Provider restarts detect code/config changes, rebuild the image when needed, and surface which Compose path is being used during image and container operations.
+
+### Fixed
+
+- Fixed the AI Provider restart path in [planet.sh](/home/ray/dev/linkong/planet/planet.sh) so code changes inside `aiprovider/` no longer stay hidden behind an old container image after `restart -a`.
+- Fixed Compose error reporting in [planet.sh](/home/ray/dev/linkong/planet/planet.sh) by making the script explicitly show `docker compose v2` first, then `docker-compose v1`, and only fail after both execution paths are exhausted.
+
 ## 0.24.2
 
 Released: 2026-04-09

docs/version-history.md

@@ -16,7 +16,7 @@
 ## Current Version
 
 - `main` 当前主线历史推导到：`0.16.5`
-- `dev` 当前开发分支历史推导到：`0.24.2`
+- `dev` 当前开发分支历史推导到：`0.24.3`
 
 ## Timeline
 
@@ -75,6 +75,7 @@
 | `0.24.0` | feature | `dev` | `pending` | add AI Playground entry, provider diagnostics, and frontend layout guidance |
 | `0.24.1` | bugfix | `dev` | `pending` | refactor Earth HUD into class-first CSS layers, unify Bun-only frontend tooling guidance, and auto-bootstrap Bun/uv in `planet.sh` |
 | `0.24.2` | bugfix | `dev` | `pending` | restore public Earth entry, refresh Playground provider diagnostics correctly, fit help-card content, and split frontend bundles by route/vendor |
+| `0.24.3` | bugfix | `dev` | `pending` | expand Playground diagnostics presets and result inspection, and make `planet.sh` rebuild changed AI Provider images with explicit Compose fallback reporting |
 
 ## Maintenance Commits Not Counted as Version Bumps
 

frontend/package.json

@@ -1,6 +1,6 @@
 {
   "name": "planet-frontend",
-  "version": "0.24.2",
+  "version": "0.24.3",
   "private": true,
   "packageManager": "bun@1",
   "dependencies": {

frontend/src/index.css

@@ -380,6 +380,23 @@ body {
   padding-bottom: 4px;
 }
 
+.playground-preset-strip {
+  display: flex;
+  flex-direction: column;
+  gap: 10px;
+  margin-bottom: 16px;
+  padding: 12px;
+  border: 1px solid rgba(148, 163, 184, 0.22);
+  border-radius: 14px;
+  background: linear-gradient(180deg, #ffffff 0%, #f8fafc 100%);
+}
+
+.playground-preset-strip__actions {
+  display: flex;
+  flex-wrap: wrap;
+  gap: 8px;
+}
+
 .playground-form__actions {
   display: flex;
   gap: 12px;
@@ -555,10 +572,23 @@ body {
 
 .playground-result__meta {
   display: flex;
+  align-items: center;
+  justify-content: space-between;
   flex-wrap: wrap;
   gap: 8px;
 }
 
+.playground-result__meta-tags {
+  display: flex;
+  flex-wrap: wrap;
+  gap: 8px;
+}
+
+.playground-result__descriptions .ant-descriptions-view {
+  border-radius: 14px;
+  overflow: hidden;
+}
+
 .playground-result__content,
 .playground-result__blocks .ant-card {
   border-radius: 14px;
@@ -591,6 +621,13 @@ body {
   gap: 12px;
 }
 
+.playground-result__blocks-head {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 12px;
+}
+
 .playground-result__blocks-scroll {
   max-height: 180px;
   overflow: auto;
@@ -619,6 +656,12 @@ body {
     min-width: 0;
     max-width: none;
   }
+
+  .playground-result__meta,
+  .playground-result__blocks-head {
+    align-items: stretch;
+    flex-direction: column;
+  }
 }
 
 

frontend/src/pages/Playground/Playground.tsx

@@ -1,11 +1,12 @@
 import { useEffect, useState } from 'react'
 import axios from 'axios'
-import { SyncOutlined } from '@ant-design/icons'
+import { CopyOutlined, ReloadOutlined, SyncOutlined } from '@ant-design/icons'
 import {
   Alert,
   Button,
   Card,
   Collapse,
+  Descriptions,
   Form,
   Input,
   Space,
@@ -53,6 +54,51 @@ interface PlaygroundFormValues {
   constraints?: string
 }
 
+interface PlaygroundPreset {
+  key: string
+  label: string
+  values: PlaygroundFormValues
+}
+
+interface AnalysisRunMeta {
+  requestId: string | null
+  durationMs: number | null
+  completedAt: string | null
+}
+
+const PLAYGROUND_PRESETS: PlaygroundPreset[] = [
+  {
+    key: 'bgp-brief',
+    label: 'BGP 简报',
+    values: {
+      title: 'BGP 告警态势简报',
+      objective: '总结当前告警的主要风险、优先级与建议动作。',
+      observations: '出现新的高危告警\n部分观测站最近 24h 事件增多',
+      constraints: '结论要简洁\n优先给出操作建议',
+    },
+  },
+  {
+    key: 'datasource-health',
+    label: '数据源健康',
+    values: {
+      title: '采集器健康检查说明',
+      objective: '判断当前采集器失败是否属于上游接口失效、限流、结构变更或临时波动。',
+      observations: '最近 3 次任务失败\n部分数据源响应时间抬升\n个别接口返回结构不稳定',
+      constraints: '区分事实与推断\n先给排障优先级',
+    },
+  },
+  {
+    key: 'link-smoke',
+    label: '链路探测',
+    values: {
+      title: 'AI 链路探测',
+      objective: '验证 backend -> aiprovider -> model provider 调用链路是否正常。',
+      observations: '当前从 Playground 发起测试\n希望确认 provider 配置和返回结构正常',
+      constraints: '输出简洁\n包含一段明确结论',
+    },
+  },
+]
+
 function splitLines(value?: string) {
   return (value || '')
     .split('\n')
@@ -67,6 +113,12 @@ function Playground() {
   const [analyzing, setAnalyzing] = useState(false)
   const [providerStatus, setProviderStatus] = useState<AIProviderStatus | null>(null)
   const [analysis, setAnalysis] = useState<SituationalAnalysisResponse | null>(null)
+  const [analysisMeta, setAnalysisMeta] = useState<AnalysisRunMeta>({
+    requestId: null,
+    durationMs: null,
+    completedAt: null,
+  })
+  const [providerStatusUpdatedAt, setProviderStatusUpdatedAt] = useState<string | null>(null)
   const [activeTab, setActiveTab] = useState<'request' | 'result'>('request')
   const [helpExpanded, setHelpExpanded] = useState(true)
 
@@ -87,6 +139,7 @@ function Playground() {
       const res = await axios.get<AIProviderStatus>(`${API_BASE_URL}/ai/provider/status`)
       setProviderStatus(res.data)
       sessionStorage.setItem(PLAYGROUND_PROVIDER_STATUS_STORAGE_KEY, JSON.stringify(res.data))
+      setProviderStatusUpdatedAt(new Date().toLocaleString())
     } catch {
       messageApi.error('AI Provider 状态获取失败')
     } finally {
@@ -99,6 +152,7 @@ function Playground() {
   }, [])
 
   const handleAnalyze = async (values: PlaygroundFormValues) => {
+    const startedAt = performance.now()
     setAnalyzing(true)
     setActiveTab('result')
     try {
@@ -115,6 +169,11 @@ function Playground() {
         },
       )
       setAnalysis(res.data)
+      setAnalysisMeta({
+        requestId: typeof res.headers['x-request-id'] === 'string' ? res.headers['x-request-id'] : null,
+        durationMs: Math.round(performance.now() - startedAt),
+        completedAt: new Date().toLocaleString(),
+      })
       messageApi.success('分析已完成')
     } catch {
       messageApi.error('分析失败，请检查 AI Provider 配置或稍后再试')
@@ -124,6 +183,31 @@ function Playground() {
     }
   }
 
+  const handleApplyPreset = (preset: PlaygroundPreset) => {
+    form.setFieldsValue(preset.values)
+    setActiveTab('request')
+  }
+
+  const handleCopyResult = async () => {
+    if (!analysis?.content) return
+    try {
+      await navigator.clipboard.writeText(analysis.content)
+      messageApi.success('结果已复制')
+    } catch {
+      messageApi.error('复制失败，请稍后再试')
+    }
+  }
+
+  const handleCopyRawResponse = async () => {
+    if (!analysis) return
+    try {
+      await navigator.clipboard.writeText(JSON.stringify(analysis.raw_response, null, 2))
+      messageApi.success('原始响应已复制')
+    } catch {
+      messageApi.error('复制失败，请稍后再试')
+    }
+  }
+
   return (
     <AppLayout>
       {contextHolder}
@@ -188,6 +272,10 @@ function Playground() {
                               {providerStatus.base_url || '-'}
                             </Text>
                           </div>
+                          <div className="playground-kv">
+                            <Text type="secondary">最后同步</Text>
+                            <Text>{providerStatusUpdatedAt || '-'}</Text>
+                          </div>
                         </div>
                       ) : (
                         <Alert type="warning" showIcon message="尚未获取到 AI Provider 状态" />
@@ -223,6 +311,13 @@ function Playground() {
                             </span>
                           )}
                         />
+                        <Alert
+                          type="success"
+                          showIcon
+                          className="playground-note"
+                          message="推荐使用左侧预设场景快速联调。"
+                          description="先看 Provider 状态，再选择一个预设模版发起请求，最后在结果区检查 request id、thinking blocks 和 raw response。"
+                        />
                       </div>
                     ),
                   },
@@ -241,15 +336,20 @@ function Playground() {
                   label: '请求',
                   children: (
                     <div className="playground-tabpane">
+                      <div className="playground-preset-strip">
+                        <Text type="secondary">快速预设</Text>
+                        <div className="playground-preset-strip__actions">
+                          {PLAYGROUND_PRESETS.map((preset) => (
+                            <Button key={preset.key} onClick={() => handleApplyPreset(preset)}>
+                              {preset.label}
+                            </Button>
+                          ))}
+                        </div>
+                      </div>
                       <Form
                         form={form}
                         layout="vertical"
-                        initialValues={{
+                        initialValues={PLAYGROUND_PRESETS[0].values}
-                          title: 'BGP 告警态势简报',
-                          objective: '总结当前告警的主要风险、优先级与建议动作。',
-                          observations: '出现新的高危告警\n部分观测站最近 24h 事件增多',
-                          constraints: '结论要简洁\n优先给出操作建议',
-                        }}
                         onFinish={handleAnalyze}
                       >
                         <Form.Item
@@ -284,11 +384,16 @@ function Playground() {
                           </Button>
                           <Button
                             onClick={() => {
-                              form.resetFields()
+                              form.setFieldsValue(PLAYGROUND_PRESETS[0].values)
                               setAnalysis(null)
+                              setAnalysisMeta({
+                                requestId: null,
+                                durationMs: null,
+                                completedAt: null,
+                              })
                             }}
                           >
-                            清空
+                            重置为默认模板
                           </Button>
                         </div>
                       </Form>
@@ -308,9 +413,30 @@ function Playground() {
                       ) : analysis ? (
                         <Space direction="vertical" size={16} className="playground-result__stack">
                           <div className="playground-result__meta">
-                            <Tag color="blue">{analysis.provider}</Tag>
+                            <div className="playground-result__meta-tags">
-                            <Tag>{analysis.model}</Tag>
+                              <Tag color="blue">{analysis.provider}</Tag>
+                              <Tag>{analysis.model}</Tag>
+                            </div>
+                            <Space wrap>
+                              <Button icon={<CopyOutlined />} onClick={() => void handleCopyResult()}>
+                                复制结果
+                              </Button>
+                              <Button icon={<ReloadOutlined />} onClick={() => setActiveTab('request')}>
+                                返回请求
+                              </Button>
+                            </Space>
                           </div>
+                          <Descriptions
+                            size="small"
+                            bordered
+                            className="playground-result__descriptions"
+                            column={1}
+                            items={[
+                              { key: 'requestId', label: 'Request ID', children: analysisMeta.requestId || '-' },
+                              { key: 'duration', label: '耗时', children: analysisMeta.durationMs ? `${analysisMeta.durationMs} ms` : '-' },
+                              { key: 'completedAt', label: '完成时间', children: analysisMeta.completedAt || '-' },
+                            ]}
+                          />
                           <div className="playground-result__content">
                             <pre>{analysis.content}</pre>
                           </div>
@@ -326,6 +452,31 @@ function Playground() {
                               </div>
                             </div>
                           ) : null}
+                          {analysis.thinking_blocks.length ? (
+                            <div className="playground-result__blocks">
+                              <Text strong>Thinking Blocks</Text>
+                              <div className="playground-result__blocks-scroll">
+                                {analysis.thinking_blocks.map((block, index) => (
+                                  <Card key={`${index}-${block.slice(0, 12)}`} size="small">
+                                    <pre>{block}</pre>
+                                  </Card>
+                                ))}
+                              </div>
+                            </div>
+                          ) : null}
+                          <div className="playground-result__blocks">
+                            <div className="playground-result__blocks-head">
+                              <Text strong>Raw Response</Text>
+                              <Button size="small" icon={<CopyOutlined />} onClick={() => void handleCopyRawResponse()}>
+                                复制 JSON
+                              </Button>
+                            </div>
+                            <div className="playground-result__blocks-scroll">
+                              <Card size="small">
+                                <pre>{JSON.stringify(analysis.raw_response, null, 2)}</pre>
+                              </Card>
+                            </div>
+                          </div>
                         </Space>
                       ) : (
                         <Alert

planet.sh

@@ -59,6 +59,10 @@ DEFAULT_AI_PROVIDER_PORT="${DEFAULT_AI_PROVIDER_PORT:-8010}"
 FRONTEND_RUNTIME_BIN="${FRONTEND_RUNTIME_BIN:-}"
 FRONTEND_RUNTIME_SOURCE="${FRONTEND_RUNTIME_SOURCE:-}"
 FRONTEND_PID_FILE="/tmp/planet_frontend.pid"
+AI_PROVIDER_BUILD_STAMP_FILE="/tmp/planet_aiprovider_build.sha256"
+AI_PROVIDER_IMAGE_NAME="${AI_PROVIDER_IMAGE_NAME:-planet_aiprovider:latest}"
+AI_PROVIDER_CONTAINER_NAME="${AI_PROVIDER_CONTAINER_NAME:-planet_aiprovider}"
+AI_PROVIDER_RECREATE_REQUIRED=0
 
 prepend_path_once() {
     local path_entry="$1"
@@ -79,12 +83,55 @@ ensure_local_runtime_bins_on_path() {
 ensure_local_runtime_bins_on_path
 
 # Shell / Docker helpers
+compose_v2_available() {
+    docker compose version >/dev/null 2>&1
+}
+
+compose_v1_available() {
+    command -v docker-compose >/dev/null 2>&1
+}
+
+report_missing_compose() {
+    clear_wait_spinner
+    log_error "未检测到可用的 Docker Compose"
+    log_note "优先需要 Docker Compose v2 (`docker compose`)"
+    log_note "如果当前机器仍只装有旧版 `docker-compose`，也请确认该命令可执行"
+    log_note "推荐安装 Docker Compose v2 插件:"
+    log_note '  mkdir -p ~/.docker/cli-plugins'
+    log_note '  curl -SL https://github.com/docker/compose/releases/download/v2.40.3/docker-compose-linux-x86_64 -o ~/.docker/cli-plugins/docker-compose'
+    log_note '  chmod +x ~/.docker/cli-plugins/docker-compose'
+    log_note '  docker compose version'
+    return 1
+}
+
 compose_up() {
-    if docker compose version >/dev/null 2>&1; then
+    local args=("$@")
-        docker compose "$@"
+    local arg_text="$*"
-    else
+
-        docker-compose "$@"
+    if compose_v2_available; then
+        set_wait_detail "正在用 docker compose v2 执行: ${arg_text}"
+        if docker compose "${args[@]}"; then
+            return 0
+        fi
+        log_warn "docker compose v2 执行失败，回退到 docker-compose v1"
     fi
+
+    if compose_v1_available; then
+        set_wait_detail "正在用 docker-compose v1 执行: ${arg_text}"
+        if docker-compose "${args[@]}"; then
+            return 0
+        fi
+        clear_wait_spinner
+        log_error "docker compose v2 与 docker-compose v1 均执行失败"
+        log_note "最后尝试的命令: docker-compose ${arg_text}"
+        return 1
+    fi
+
+    report_missing_compose
+}
+
+compose_supports_build() {
+    compose_up build --help >/dev/null 2>&1
 }
 
 # Terminal rendering helpers
@@ -338,6 +385,102 @@ run_with_retry() {
     return 1
 }
 
+compute_ai_provider_build_fingerprint() {
+    (
+        cd "$SCRIPT_DIR" || exit 1
+        tar -cf - \
+            aiprovider \
+            pyproject.toml \
+            uv.lock \
+            docker-compose.yml \
+            docker-compose.simple.yml 2>/dev/null
+    ) | sha256sum | awk '{print $1}'
+}
+
+read_ai_provider_build_stamp() {
+    [ -f "$AI_PROVIDER_BUILD_STAMP_FILE" ] || return 1
+    tr -d '[:space:]' < "$AI_PROVIDER_BUILD_STAMP_FILE"
+}
+
+write_ai_provider_build_stamp() {
+    local fingerprint="$1"
+    printf "%s\n" "$fingerprint" > "$AI_PROVIDER_BUILD_STAMP_FILE"
+}
+
+ai_provider_image_exists() {
+    docker image inspect "$AI_PROVIDER_IMAGE_NAME" >/dev/null 2>&1
+}
+
+list_ai_provider_containers() {
+    docker ps -aq --filter "name=planet_aiprovider" 2>/dev/null || true
+}
+
+remove_ai_provider_containers() {
+    local container_ids
+    container_ids="$(list_ai_provider_containers)"
+    [ -n "$container_ids" ] || return 0
+    echo "$container_ids" | xargs -r docker rm -f >/dev/null 2>&1 || true
+}
+
+run_ai_provider_container_manually() {
+    local ai_provider_port="${1:-$DEFAULT_AI_PROVIDER_PORT}"
+    local env_file_args=()
+
+    if [ -f "$SCRIPT_DIR/aiprovider/.env" ]; then
+        env_file_args=(--env-file "$SCRIPT_DIR/aiprovider/.env")
+    fi
+
+    docker run -d \
+        --name "$AI_PROVIDER_CONTAINER_NAME" \
+        "${env_file_args[@]}" \
+        -p "${ai_provider_port}:8010" \
+        "$AI_PROVIDER_IMAGE_NAME" >/dev/null
+}
+
+recreate_ai_provider_container() {
+    local ai_provider_port="${1:-$DEFAULT_AI_PROVIDER_PORT}"
+
+    remove_ai_provider_containers
+
+    if compose_up up -d aiprovider >/dev/null 2>&1; then
+        return 0
+    fi
+
+    run_ai_provider_container_manually "$ai_provider_port"
+}
+
+ensure_ai_provider_image_current() {
+    local current_fingerprint=""
+    local previous_fingerprint=""
+
+    current_fingerprint="$(compute_ai_provider_build_fingerprint)"
+    previous_fingerprint="$(read_ai_provider_build_stamp || true)"
+
+    if ai_provider_image_exists && [ -n "$previous_fingerprint" ] && [ "$current_fingerprint" = "$previous_fingerprint" ]; then
+        AI_PROVIDER_RECREATE_REQUIRED=0
+        return 0
+    fi
+
+    set_wait_detail "检测到 AI Provider 代码或配置变化，重建镜像"
+
+    if ! compose_supports_build; then
+        log_error "当前 docker compose 不支持 build，请检查 Docker / Compose 环境"
+        exit 1
+    fi
+
+    if ! run_with_retry \
+        "$AI_PROVIDER_START_MAX_RETRIES" \
+        "$AI_PROVIDER_RETRY_INTERVAL" \
+        "AI Provider 镜像构建失败，已重试 ${AI_PROVIDER_START_MAX_RETRIES} 次" \
+        "构建 AI Provider 镜像" \
+        compose_up build aiprovider; then
+        exit 1
+    fi
+
+    write_ai_provider_build_stamp "$current_fingerprint"
+    AI_PROVIDER_RECREATE_REQUIRED=1
+}
+
 install_uv_if_needed() {
     if command -v uv >/dev/null 2>&1; then
         return 0
@@ -753,9 +896,19 @@ start_ai_provider_service() {
     local retry=1
     set_wait_detail "启动 AI Provider"
 
+    ensure_ai_provider_image_current
+
     while [ "$retry" -le "$AI_PROVIDER_START_MAX_RETRIES" ]; do
-        if docker start planet_aiprovider >/dev/null 2>&1 || compose_up up -d aiprovider >/dev/null 2>&1; then
+        if [ "$AI_PROVIDER_RECREATE_REQUIRED" -eq 1 ]; then
-            if wait_for_container_health "planet_aiprovider" "$AI_PROVIDER_HEALTH_CHECK_ATTEMPTS" "$AI_PROVIDER_HEALTH_CHECK_INTERVAL" "AI Provider" &&
+            if recreate_ai_provider_container "$ai_provider_port"; then
+                AI_PROVIDER_RECREATE_REQUIRED=0
+                if wait_for_container_health "$AI_PROVIDER_CONTAINER_NAME" "$AI_PROVIDER_HEALTH_CHECK_ATTEMPTS" "$AI_PROVIDER_HEALTH_CHECK_INTERVAL" "AI Provider" &&
+                   wait_for_http "http://localhost:${ai_provider_port}/health" "$AI_PROVIDER_HEALTH_CHECK_ATTEMPTS" "$AI_PROVIDER_HEALTH_CHECK_INTERVAL" "AI Provider"; then
+                    return 0
+                fi
+            fi
+        elif docker start "$AI_PROVIDER_CONTAINER_NAME" >/dev/null 2>&1 || compose_up up -d aiprovider >/dev/null 2>&1; then
+            if wait_for_container_health "$AI_PROVIDER_CONTAINER_NAME" "$AI_PROVIDER_HEALTH_CHECK_ATTEMPTS" "$AI_PROVIDER_HEALTH_CHECK_INTERVAL" "AI Provider" &&
                wait_for_http "http://localhost:${ai_provider_port}/health" "$AI_PROVIDER_HEALTH_CHECK_ATTEMPTS" "$AI_PROVIDER_HEALTH_CHECK_INTERVAL" "AI Provider"; then
                 return 0
             fi
@@ -763,17 +916,18 @@ start_ai_provider_service() {
 
         if [ "$retry" -eq "$AI_PROVIDER_START_MAX_RETRIES" ]; then
             log_error "AI Provider 启动失败，已重试 ${AI_PROVIDER_START_MAX_RETRIES} 次"
-            docker logs --tail 20 planet_aiprovider 2>/dev/null || true
+            docker logs --tail 20 "$AI_PROVIDER_CONTAINER_NAME" 2>/dev/null || true
             exit 1
         fi
 
-        docker restart planet_aiprovider >/dev/null 2>&1 || true
+        remove_ai_provider_containers
+        AI_PROVIDER_RECREATE_REQUIRED=1
         animate_wait_spinner "AI Provider 第 ${retry}/${AI_PROVIDER_START_MAX_RETRIES} 次启动后仍未健康，正在重启容器" "$AI_PROVIDER_RETRY_INTERVAL"
         retry=$((retry + 1))
     done
 
     log_error "AI Provider 启动失败"
-    docker logs --tail 20 planet_aiprovider 2>/dev/null || true
+    docker logs --tail 20 "$AI_PROVIDER_CONTAINER_NAME" 2>/dev/null || true
     exit 1
 }
 
@@ -1179,7 +1333,7 @@ stop_backend_service() {
 }
 
 stop_ai_provider_service() {
-    stop_container_if_running "planet_aiprovider" "AI Provider"
+    stop_container_if_running "$AI_PROVIDER_CONTAINER_NAME" "AI Provider"
 }
 
 stop_frontend_service() {

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "planet"
-version = "0.24.2"
+version = "0.24.3"
 description = "智能星球计划 - 态势感知系统"
 requires-python = ">=3.14"
 dependencies = [

uv.lock

@@ -475,7 +475,7 @@ wheels = [
 
 [[package]]
 name = "planet"
-version = "0.24.2"
+version = "0.24.3"
 source = { virtual = "." }
 dependencies = [
     { name = "aiofiles" },