- Implement tests for the ImageProcessingWorker to validate task deduplication and policy interactions.
- Create tests for operation policy to ensure proper grant handling and error responses.
- Add tests for reverse image provider response structure to validate empty and malformed results.
- Develop comprehensive tests for scope resolution and service validation to ensure correct behavior in various scenarios.
Route executor-mode session inspection through the running Agent Compose service and keep TUI arguments interactive. Reject stale host-runtime fallback when Compose is unavailable and document the explicit host override.
将 executor 模式的会话检查路由到运行中的 Agent Compose 服务，保持 TUI 交互参数；Compose 不可用时拒绝回退到过期宿主 runtime，并记录显式 host 覆盖方式。
Connect PostgreSQL services to the API, add collection package import/export, and surface task activity in the workbench.
将 PostgreSQL 服务接入 API，增加合集资源包导入导出，并在工作台展示任务活动状态。
Route reverse-image searches through the backend with cache redaction, idempotent provider accounting, and isolated Agent credentials.
将反向图片检索收敛到后端代理，加入缓存脱敏、幂等供应商用量审计和隔离的 Agent 凭据。
Add the fixed DINOv2 ViT-B/14 model adapter, isolated CPU inference service, migration helper, and task-scoped local visual matching client.
引入固定的 DINOv2 ViT-B/14 模型适配器、隔离 CPU 推理服务、迁移工具和任务级本地视觉匹配客户端。
Replace directory-scoped image APIs with flat PostgreSQL-backed storage and stable meme_id resource contracts. Remove directory endpoints, sidecar assumptions, and path-based media access while preserving task, upload, rename, delete, repair, and search workflows. Archive the image ingestion and library OpenSpec change with migration and contract coverage.
将按目录组织的图片接口替换为基于 PostgreSQL 的扁平存储和稳定 meme_id 资源契约。删除目录接口、sidecar 假设和路径媒体访问，同时保留任务、上传、重命名、删除、修复与检索流程。归档图片摄取与图片库 OpenSpec，并补充迁移和契约测试。
BREAKING CHANGE: image and context APIs now require stable meme_id values; directory-based endpoints and path media URLs are removed.
破坏性变更：图片和语境接口现在要求稳定 meme_id，目录接口与路径媒体 URL 已移除。
- Introduced output schema for meme retrieval records in JSON format.
- Created documentation for using SerpApi Google Lens for image retrieval.
- Implemented a script for persistent caching of Google Lens results, reducing redundant API calls.
- Added tests for OpenCode candidate extraction, validation, and persistent task handling.
- Introduced a new sidecar JSON structure for each image to maintain a versioned, evidence-bound meme context.
- Established a schema for the sidecar JSON, including fields for image metadata and meme context.
- Updated image ingestion processes to create and manage sidecar JSON files during upload and renaming.
- Enhanced visual labeling to persist structured descriptions and prevent overwriting confirmed fields.
- Developed a semantic search index that utilizes the structured fields from the sidecar while excluding non-relevant data.
- Implemented repair mechanisms for missing or corrupted sidecar files, ensuring data integrity.
- Added comprehensive tests for metadata service, image processing, and caching mechanisms.
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