feat: add supports for dify hitl#2226
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- Added module-level storage for pending forms to manage state across sessions. - Introduced functions to set, get, and clear pending forms with expiration handling. - Enhanced DifyServiceAPIRunner to support resuming paused workflows via form actions. - Implemented logic to yield human input requests and display appropriate messages. - Updated workflow submission methods to handle paused states and resume actions. - Ensured proper merging of pending form actions with user inputs for seamless interaction.
…nagement and draft message support
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#2216 |
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还是不一样，这个更偏向于人使用时候的一个人工的决策，你发这这个还是一个转人工的需求 |
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接近这个
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发件人: "Haoxuan ***@***.***>
发送时间: 2026年6月7日(周日) 中午12:51
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主题: Re: [langbot-app/LangBot] feat: 支持多个人工介入节点的连续暂停工作流 (PR #2226)
TyperBody left a comment (langbot-app/LangBot#2226)
#2216 想到了这个
还是不一样，这个更偏向于人使用时候的一个人工的决策，你发这这个还是一个转人工的需求
#1086
那这个iss
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recheck |
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I have read the CLA Document and I hereby sign the CLA |
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概述
实现 Dify 工作流中多个连续
human_input节点的支持。此前每个会话只能同时挂起一个人工介入表单，后续的会覆盖前一个，导致按钮点击触发 412 错误（form already submitted）。本 PR 将挂起表单的存储改为按form_token索引的有序字典，支持同一会话中多个工作流表单并存。改动内容
1. 多挂起表单存储（difysvapi.py）
_PENDING_FORMS从dict[session_key, 单个form]改为dict[session_key, OrderedDict[form_token, form]]_get_pending_form_by_token（精确查找）、_get_pending_form_by_w_suffix（Telegram 64 字节兼容）、_get_latest_pending_form、_iter_pending_forms（最新优先遍历）_clear_pending_form支持精确清单条或清整 session2. 路由匹配改进（difysvapi.py）
_resolve_pending_form：按 form_token → workflow_run_id → w_suffix → 最新 的优先级查找3. Lark 卡片：新卡承载 re-pause（lark.py）
_open_new_form_card：re-pause 时创建新卡片（新 card_id + reply），旧卡片保留为 resume 快照node_title通过msg._resume_node_title从 runner 透传到 adapter4. Telegram 适配器修复（telegram.py）
w字段（workflow_run_id 末 8 位），解决 64 字节 callback_data 限制w作为w_suffix透传给 runnersource_platform_object=update，修复assert isinstance(..., Update)失败update.message.message_thread_id改为update.effective_message+getattr，修复 callback_query 的update.message为 Nonesend_message_draft添加RetryAfter和Message_too_long保护5. Pipeline 兼容性
修改文件
src/langbot/pkg/provider/runners/difysvapi.pysrc/langbot/pkg/platform/sources/lark.pysrc/langbot/pkg/platform/sources/telegram.pysrc/langbot/libs/dify_service_api/v1/client.pysrc/langbot/pkg/pipeline/respback/respback.pysrc/langbot/pkg/platform/sources/lark.yaml测试场景
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