feat(agent): integrate structured runner interactions

docs/agent-runner-pluginization/PROTOCOL_V1.md

@@ -103,6 +103,7 @@ class AgentRunnerCapabilities(BaseModel):
     skill_authoring: bool = False
     interrupt: bool = False
     steering: bool = False
+    interactions: bool = False
 
     model_config = ConfigDict(extra="forbid")
 ```
@@ -114,6 +115,7 @@ class AgentRunnerCapabilities(BaseModel):
 - `skill_authoring`:（降级为便捷开关，非访问硬前提）声明该 runner 期望使用 LangBot skill 工具链。skill 本身通过**统一 tool 授权**获得——发现走 `list_skills` / `langbot_list_assets`，激活/注册走 `activate` / `register_skill`，操作走 native exec/read/write，全部计入 `resource_policy.allowed_tool_names`。该 capability 仅作为「一键授权这组 skill tool + sandbox」的便捷开关，不再单独决定 skill 是否可用。
 - `interrupt`: runner 支持取消或中断。
 - `steering`: runner 支持在 turn 边界通过 Host pull API 消费同 conversation 在途追加消息。
+- `interactions`: runner 可以请求 Host 展示结构化交互，并处理后续 `interaction.submitted` 事件。
 
 Capabilities 字段全部是 `bool`，未知 key 禁止进入 typed manifest。早期草案里的上下文/会话类 capability 已删除；对应语义由 event-first context 和 runner-owned context 原则表达。
 
@@ -128,11 +130,15 @@ class AgentRunnerPermissions(BaseModel):
     events: list[Literal["get", "page"]] = []
     storage: list[Literal["plugin", "workspace"]] = []
     files: list[Literal["config", "knowledge"]] = []
+    interactions: list[Literal["request"]] = []
 
     model_config = ConfigDict(extra="forbid")
 ```
 
-平台动作执行不属于当前 permissions。Platform action executor / EBA action 分支落地前，runner 只能返回 `action.requested` telemetry，Host 不执行平台动作。
+通用交互投递是当前唯一允许执行的 `action.requested` 白名单动作。Runner 必须同时声明
+`capabilities.interactions=true` 和 `permissions.interactions=["request"]`，Host 还必须将其与
+当前 binding delivery policy、run authorization snapshot 和 adapter delivery capability 求交。
+其它平台动作仍不属于当前 permissions，Host 收到后只记录 telemetry，不得执行。
 
 Runner 实际可用 LangBot 资源来自 Host 在 run 前冻结的授权快照：
 
@@ -275,11 +281,13 @@ class AgentInput(BaseModel):
     text: str | None = None
     contents: list[ContentElement] = []
     attachments: list[InputAttachment] = []
+    interaction: InteractionSubmission | None = None
 ```
 
 - 文本、多模态、附件都属于当前 event input。
 - 大文件、图片、音频、工具大结果应进入授权 sandbox/workspace，input attachment 只携带轻量 metadata/path/url/content。
 - 平台原始消息链不属于 SDK `AgentInput`；需要诊断时放在 Host 内部 envelope 或 `ctx.adapter.extra` 的一次性兼容字段中，不作为长期 runner 合同。
+- `interaction` 只在 `event.event_type == "interaction.submitted"` 时出现，承载经过 Host 校验和归一化的用户提交；平台原始 callback payload 不进入该字段。
 
 ### 5.7 DeliveryContext
 
@@ -291,17 +299,80 @@ class DeliveryContext(BaseModel):
     supports_edit: bool = False
     supports_reaction: bool = False
     max_message_size: int | None = None
+    interactions: InteractionDeliveryCapabilities | None = None
     platform_capabilities: dict[str, Any] = {}
 ```
 
-Runner 可参考 delivery 能力决定返回 `message.delta`、`message.completed` 或 `action.requested`。
+Runner 可参考 delivery 能力决定返回 `message.delta`、`message.completed` 或交互请求。
+`interactions is not None` 表示当前 surface 可以投递结构化交互；其中的 field/action 能力
+决定 Host 可原生渲染的范围。Runner 仍必须提供 `fallback_text`，供不支持富交互或投递失败时降级。
 平台事件进入独立 Agent 时，Host 会从当前 adapter 的 `get_supported_apis()` 投影
 `supports_edit`、`supports_reaction`，并把去重后的 API 名称写入
 `platform_capabilities.supported_apis`。这些字段只描述当前投递表面的能力，不授予
-平台动作权限；`action.requested` 仍受 §7.3 的 reserved 约束。合成路由测试使用的
+任意平台动作权限；交互请求按 §5.8 和 §7.3 的白名单约束执行。合成路由测试使用的
 adapter 会过滤所有已知副作用 API，因此测试事件不会向 runner 宣告真实出站能力。
 
-### 5.8 ContextAccess
+### 5.8 Structured Interaction
+
+```python
+InteractionFieldType = Literal[
+    "text", "textarea", "select", "multiselect", "number", "boolean", "file"
+]
+
+class InteractionOption(BaseModel):
+    value: str
+    label: str
+    description: str | None = None
+
+class InteractionField(BaseModel):
+    id: str
+    label: str
+    type: InteractionFieldType
+    required: bool = False
+    options: list[InteractionOption] = []
+    placeholder: str | None = None
+    default: JSONValue | None = None
+
+class InteractionAction(BaseModel):
+    id: str
+    label: str
+    style: Literal["default", "primary", "danger"] = "default"
+
+class InteractionRequest(BaseModel):
+    interaction_id: str
+    kind: Literal["form", "confirmation", "choice"] = "form"
+    title: str
+    description: str | None = None
+    fields: list[InteractionField] = []
+    actions: list[InteractionAction] = []
+    expires_at: int | None = None
+    fallback_text: str
+
+class InteractionSubmission(BaseModel):
+    interaction_id: str
+    action_id: str | None = None
+    values: dict[str, JSONValue] = {}
+    submitted_at: int | None = None
+
+class InteractionDeliveryCapabilities(BaseModel):
+    field_types: list[InteractionFieldType] = []
+    action_styles: list[Literal["default", "primary", "danger"]] = []
+    supports_updates: bool = False
+    max_fields: int | None = None
+```
+
+Runner 使用 `AgentRunResult.interaction_requested()` 生成
+`action.requested(action="interaction.requested")`。Host 只能把请求投递到当前 run 冻结的
+delivery target，Runner 不得通过 `target` 改写 bot、conversation 或用户。Host 为请求保存
+`interaction_id -> processor/binding/conversation/expiry` 关联；平台 callback 必须先经过签名、
+目标、过期和幂等校验，再生成 `interaction.submitted` 事件。
+
+Provider 私有 continuation token、workflow id、凭据或原始 callback payload 不属于该协议。
+Runner 应把这些值保存到受授权的 Host state 或 plugin storage，并只用 `interaction_id` 关联提交。
+Host 必须使用服务器接收时间判断 callback 是否过期，并覆盖 `InteractionSubmission.submitted_at`；
+平台事件时间只可作为原始事件诊断信息，不能控制 TTL 或进入 Runner 的可信提交字段。
+
+### 5.9 ContextAccess
 
 ```python
 class ContextAccess(BaseModel):
@@ -463,13 +534,20 @@ Runner 生成的大文件、工具输出和临时产物不通过 result event
 | `tool.call.started` | 工具调用开始的可观测事件。 | telemetry |
 | `tool.call.completed` | 工具调用完成的可观测事件。 | telemetry |
 | `state.updated` | runner 请求更新 host-owned state。 | ✅ |
-| `action.requested` | runner 请求 Host 执行平台动作。 | **reserved / 仅 telemetry，不执行** |
+| `action.requested` | runner 请求 Host 执行受控动作。 | `interaction.requested` 可执行；其它动作仅 telemetry |
 | `run.completed` | run 正常结束。 | ✅ |
 | `run.failed` | run 失败。 | ✅ |
 
-`action.requested` 是为 EBA 和 platform API 保留的协议表面：本分支 Host 收到后只记 telemetry，**不执行**，runner 作者不应在当前 Host 底座中依赖其副作用。真实执行器由外部 EBA / platform action 分支接入；执行模型见 EVENT_BASED_AGENT §6。
+`action.requested` 仍是严格白名单协议表面。当前 Host 只执行
+`action="interaction.requested"`，并要求 payload 可校验为 `InteractionRequest`、Runner 声明
+interaction capability/permission、当前 binding 允许交互且 delivery surface 支持交互。
+Host 忽略 Runner 提供的外部 target，只使用 run authorization snapshot 中冻结的 delivery target。
+其它 action 只记 telemetry，不执行；通用 platform action executor 仍不属于本协议。
 
-Host 必须校验 `state.updated` 的 scope、key、value 大小和 JSON 可序列化性。本分支 `action.requested` 仍只记录 telemetry。
+Host 必须校验 `state.updated` 的 scope、key、value 大小和 JSON 可序列化性。Host 还必须限制
+交互字段/动作数量、字符串长度、payload 总大小、过期时间和 interaction id 唯一性，并对 callback
+应用默认 30 分钟、最长 24 小时的有效期；request 与 submission payload 均不得超过 256 KiB。
+执行目标绑定、签名、幂等和过期校验。
 
 除 runner 经 `state.updated` 写之外，Host 自身也可直接写部分 host-owned state。例如 `activate` tool 在 Host 侧执行时，直接把已激活 skill 写入 conversation scope 的 `host.activated_skills` 快照。当 host 直接写与 runner `state.updated` 写到同一 key 时，按 **last-write-wins** 合并——runner 可以覆盖 host 写的快照。
 
@@ -487,7 +565,7 @@ Host 必须校验 `state.updated` 的 scope、key、value 大小和 JSON 可序
 { "type": "message.delta",     "data": { "chunk": { "role": "assistant", "content": "hel" } } }
 { "type": "message.completed", "data": { "message": { "role": "assistant", "content": "hello" } } }
 { "type": "state.updated",     "data": { "scope": "conversation", "key": "external.session_id", "value": "abc" } }
-{ "type": "action.requested",  "data": { "action": "message.edit", "target": {"message_id": "..."}, "payload": {"text": "..."} } }
+{ "type": "action.requested",  "data": { "action": "interaction.requested", "payload": { "interaction_id": "form_1", "kind": "choice", "title": "Approve?", "actions": [{"id": "approve", "label": "Approve", "style": "primary"}], "fallback_text": "Reply approve or reject." } } }
 ```
 
 ## 8. AgentRunAPIProxy

docs/agent-runner-pluginization/STATUS.md

@@ -21,11 +21,12 @@
 | Steering control path | Done | claim 异常不再逃逸 consumer loop；queue 有上限；未 pull 的 claimed 输入在 run 结束时写 `steering.dropped` 审计终态。 |
 | SDK v1 contract closure | Done | SDK 提供 `AgentAPIError` / `AgentAPIException`、typed `SteeringPullResult`、未知 result type 宽容解析、result `sequence` 注入与取消传播。 |
 | EBA processor routing | Done; release gate 5/5 pass | Bot `event_bindings`、Pipeline / Agent 平级路由、WebUI dry-run / 合成测试 / 状态、OneBot 非消息事件到 Agent 及平台回复已闭环；隔离空白实例已验证从 Space 安装并注册 LocalAgent。 |
+| Structured interactions | Cross-repo unit-pass; provider E2E pending | Host 已完成 `interaction.requested` 白名单、持久化 callback correlation、TTL/作用域/幂等校验和 Pipeline/Agent 原处理器恢复；六个平台已接入按钮/单选投递，Lark 和 DingTalk 进一步支持原生单字段 `text` / `textarea` / `number` / `select` 控件。SDK typed contract、通用 Runner 脚手架和 DifyAgent `workflow_paused` plugin-storage continuation 已落入对应仓库。 |
 
 ## Spec 与实现已知差距
 
-- `action.requested` 仍只作为 telemetry / reserved surface；platform action executor 不在本分支执行。
-- `action.requested` 权限模型完成前，DeliveryContext 的 adapter capability 投影只用于输出决策，不提供平台动作执行权限。
+- `action.requested` 是严格白名单协议面：当前只执行 `interaction.requested`；其它 action 仍只记录 telemetry，不提供通用 platform action executor。
+- 结构化交互 SDK typed contract 与 DifyAgent continuation 已实现；SDK 正式发布、真实 Dify 凭据 E2E，以及需要长驻双向进程的 Claude Code 权限确认仍是后续验收项。Host 不持有 provider 私有 token。
 - State 与 storage 的长期类型边界仍可继续收窄；当前合同只要求 JSON-safe state 与受控 storage API。
 - `ToolResource.parameters` 已作为 best-effort full schema 由 Host 在构造 `ctx.resources` 时一次塞齐；无 schema 时 runner 仍需兼容 `parameters=None` 或按需调用 detail API。
 - EventLog / Transcript 已提供显式 cleanup primitive；长期 retention 默认值、TTL 调度接入和 sandbox/workspace 文件清理仍是运维收尾项，应在 Runtime Control Plane 产品化前补齐。
@@ -40,7 +41,8 @@
 | `plugin:langbot-team/LocalAgent/default` | Unit-pass; Marketplace UI pass; Debug Chat E2E pass | 2026-07-12 隔离 first-run 实例从真实 AgentRunner catalog 安装 `langbot-team/LocalAgent` 0.1.0，Host 注册 `plugin:langbot-team/LocalAgent/default`，Wizard 自动选中并解锁后续操作。2026-07-15 `2026-07-15-08-44-10-770-08-00-sandbox-skill-authoring-edit-existing-e2e` 使用真实 `gpt-5.5` 完成 Skill 创建、注册、同 Query 激活、已激活包编辑与脚本执行；三阶段 UI、浏览器诊断和结构化文件系统检查全部通过，每阶段恰好新增一个 Bot 气泡，p95 14.6 秒、错误率 0。 |
 | `plugin:langbot-team/ACPAgentRunner/default` | Unit-pass; Debug Chat E2E pass | 2026-07-15 从本地 0.1.4 发布包安装并注册 PascalCase runner，remote-ssh Claude ACP 通过反向隧道调用 run-scoped `langbot_get_current_event`，97.8 秒返回可见结果；Host 将增量 delta 和 `message.completed` 聚合为一个完整 Bot 气泡。 |
 | `plugin:langbot-team/ClaudeCodeAgent/default` / `plugin:langbot-team/CodexAgent/default` | Unit-pass; E2E pending | 通过 runner 仓库单测覆盖 session、run_id 注入和 LangBot MCP gateway；真实 harness E2E 取决于对应运行环境、CLI/daemon 可用性和 provider 登录态。 |
-| Dify / n8n / Coze / DashScope / Langflow / Tbox / DeerFlow / WeKnora | Unit-pass; credential smoke optional | 2026-06-13 plugin layout / parser tests 通过；真实服务凭据 smoke 非每轮必跑。 |
+| Dify | Human-input unit-pass; credential E2E pending | `langbot-agent-runner/dify-agent` 已实现 `workflow_paused`、原子字段/确认交互、plugin-storage continuation、Dify submit/events 恢复与再次暂停；真实 Dify 凭据 E2E 待执行。 |
+| n8n / Coze / DashScope / Langflow / Tbox / DeerFlow / WeKnora | Unit-pass; credential smoke optional | 2026-06-13 plugin layout / parser tests 通过；真实服务凭据 smoke 非每轮必跑。 |
 
 ## Host / SDK 验收状态
 

src/langbot/libs/qq_official_api/api.py

@@ -721,7 +721,6 @@ class QQOfficialClient:
         """
         if not await self.check_access_token():
             await self.get_access_token()
-
         if target_type == 'c2c':
             url = f'{self.base_url}/v2/users/{target_id}/messages'
         elif target_type == 'group':
@@ -730,7 +729,6 @@ class QQOfficialClient:
             url = f'{self.base_url}/channels/{target_id}/messages'
         else:
             raise ValueError(f'Unsupported target_type for markdown+keyboard: {target_type}')
-
         body: dict[str, Any] = {
             'msg_type': 2,
             'markdown': {'content': markdown_content},

src/langbot/libs/wecom_ai_bot_api/ws_client.py

@@ -430,6 +430,8 @@ class WecomBotWsClient:
             card_payload: ``{"msgtype": "template_card", "template_card": {...}}``
                 as produced by :func:`build_button_interaction_payload`.
         """
+        if card_payload.get('msgtype') != 'template_card' or not isinstance(card_payload.get('template_card'), dict):
+            raise ValueError('invalid WeCom template_card payload')
         req_id = _generate_req_id(CMD_SEND_MSG)
         body = dict(card_payload)
         body['chatid'] = chat_id

src/langbot/pkg/agent/runner/binding_resolver.py

@@ -30,16 +30,10 @@ class AgentBindingResolver:
         Agent and does not carry enough scope metadata to make that decision
         safely here.
         """
-        matches = [
-            agent
-            for agent in agents
-            if agent.enabled and event.event_type in agent.event_types
-        ]
+        matches = [agent for agent in agents if agent.enabled and event.event_type in agent.event_types]
 
         if not matches:
-            raise AgentBindingResolutionError(
-                f'No Agent binding matches event_type={event.event_type}'
-            )
+            raise AgentBindingResolutionError(f'No Agent binding matches event_type={event.event_type}')
 
         if len(matches) > 1:
             agent_ids = ', '.join(agent.agent_id or '<anonymous>' for agent in matches)
@@ -57,7 +51,7 @@ class AgentBindingResolver:
         )
 
         return AgentBinding(
-            binding_id=f"agent_{agent.agent_id or 'default'}_{agent.runner_id}",
+            binding_id=f'agent_{agent.agent_id or "default"}_{agent.runner_id}',
             scope=scope,
             event_types=list(agent.event_types),
             runner_id=agent.runner_id,
@@ -67,4 +61,6 @@ class AgentBindingResolver:
             delivery_policy=agent.delivery_policy,
             enabled=agent.enabled,
             agent_id=agent.agent_id,
+            processor_type=agent.processor_type,
+            processor_id=agent.processor_id or agent.agent_id,
         )

src/langbot/pkg/agent/runner/context_builder.py

@@ -45,6 +45,7 @@ class AgentInput(typing.TypedDict):
     text: str | None
     contents: list[dict[str, typing.Any]]
     attachments: list[dict[str, typing.Any]]
+    interaction: typing.NotRequired[dict[str, typing.Any] | None]
 
 
 class AgentRunState(typing.TypedDict):
@@ -299,6 +300,11 @@ class AgentRunContextBuilder:
                 a.model_dump(mode='json') if hasattr(a, 'model_dump') else a for a in event.input.attachments
             ],
         }
+        if getattr(event.input, 'interaction', None) is not None:
+            interaction = event.input.interaction
+            input['interaction'] = (
+                interaction.model_dump(mode='json') if hasattr(interaction, 'model_dump') else interaction
+            )
 
         # Build context access (no history inlined by default for Protocol v1)
         # Populate with actual values from stores
@@ -333,6 +339,11 @@ class AgentRunContextBuilder:
             'max_message_size': event.delivery.max_message_size,
             'platform_capabilities': event.delivery.platform_capabilities,
         }
+        if getattr(event.delivery, 'interactions', None) is not None:
+            interactions = event.delivery.interactions
+            delivery_context['interactions'] = (
+                interactions.model_dump(mode='json') if hasattr(interactions, 'model_dump') else interactions
+            )
 
         # Build adapter context (empty for event-first)
         adapter_context = {

src/langbot/pkg/agent/runner/events.py

@@ -1,4 +1,5 @@
 """Canonical AgentRunner event names reserved for future EBA integration."""
+
 from __future__ import annotations
 
 
@@ -14,6 +15,9 @@ GROUP_MEMBER_JOINED = 'group.member_joined'
 FRIEND_REQUEST_RECEIVED = 'friend.request_received'
 """A new friend/contact request was received."""
 
+INTERACTION_SUBMITTED = 'interaction.submitted'
+"""A user submitted a Host-rendered structured interaction."""
+
 
 RESERVED_EVENT_TYPES = frozenset(
     {
@@ -21,5 +25,6 @@ RESERVED_EVENT_TYPES = frozenset(
         MESSAGE_RECALLED,
         GROUP_MEMBER_JOINED,
         FRIEND_REQUEST_RECEIVED,
+        INTERACTION_SUBMITTED,
     }
 )

src/langbot/pkg/agent/runner/host_models.py

@@ -139,6 +139,9 @@ class DeliveryPolicy(pydantic.BaseModel):
     enable_reply: bool = True
     """Whether reply is enabled."""
 
+    enable_interactions: bool = False
+    """Whether the binding permits structured interaction delivery."""
+
     max_message_size: int | None = None
     """Maximum message size."""
 
@@ -154,6 +157,12 @@ class AgentConfig(pydantic.BaseModel):
     agent_id: str | None = None
     """Host-side Agent/config identifier."""
 
+    processor_type: typing.Literal['agent', 'pipeline'] = 'agent'
+    """Product processor kind represented by this runtime config."""
+
+    processor_id: str | None = None
+    """Stable product processor identifier."""
+
     runner_id: str
     """Runner ID to invoke."""
 
@@ -215,3 +224,9 @@ class AgentBinding(pydantic.BaseModel):
 
     agent_id: str | None = None
     """Host-side Agent/config identifier for this binding."""
+
+    processor_type: typing.Literal['agent', 'pipeline'] = 'agent'
+    """Product processor kind selected for this binding."""
+
+    processor_id: str | None = None
+    """Stable product processor identifier used for callback resume."""

src/langbot/pkg/agent/runner/interaction_manager.py

@@ -0,0 +1,441 @@
+"""Host validation, persistence, and delivery for structured interactions."""
+
+from __future__ import annotations
+
+import json
+import time
+import typing
+
+import pydantic
+
+from langbot_plugin.api.entities.builtin.platform import message as platform_message
+
+from .descriptor import AgentRunnerDescriptor
+from .errors import RunnerProtocolError
+from .host_models import AgentBinding, AgentEventEnvelope
+from .interaction_store import InteractionStore
+
+
+INTERACTION_REQUESTED_ACTION = 'interaction.requested'
+INTERACTION_DELIVERY_API = 'interaction.request'
+INTERACTION_ACKNOWLEDGE_API = 'interaction.acknowledge'
+INTERACTION_PAYLOAD_MAX_BYTES = 256 * 1024
+DEFAULT_INTERACTION_TTL_SECONDS = 30 * 60
+MAX_INTERACTION_TTL_SECONDS = 24 * 60 * 60
+
+
+class HostInteractionOption(pydantic.BaseModel):
+    """Host-validated selectable interaction value."""
+
+    value: str = pydantic.Field(min_length=1, max_length=512)
+    label: str = pydantic.Field(min_length=1, max_length=512)
+    description: str | None = pydantic.Field(default=None, max_length=2000)
+
+    model_config = pydantic.ConfigDict(extra='forbid')
+
+
+class HostInteractionField(pydantic.BaseModel):
+    """Host-validated structured interaction field."""
+
+    id: str = pydantic.Field(min_length=1, max_length=128)
+    label: str = pydantic.Field(min_length=1, max_length=512)
+    type: typing.Literal['text', 'textarea', 'select', 'multiselect', 'number', 'boolean', 'file']
+    required: bool = False
+    options: list[HostInteractionOption] = pydantic.Field(default_factory=list, max_length=100)
+    placeholder: str | None = pydantic.Field(default=None, max_length=2000)
+    default: typing.Any = None
+
+    model_config = pydantic.ConfigDict(extra='forbid')
+
+
+class HostInteractionAction(pydantic.BaseModel):
+    """Host-validated interaction submit action."""
+
+    id: str = pydantic.Field(min_length=1, max_length=128)
+    label: str = pydantic.Field(min_length=1, max_length=512)
+    style: typing.Literal['default', 'primary', 'danger'] = 'default'
+
+    model_config = pydantic.ConfigDict(extra='forbid')
+
+
+class HostInteractionRequest(pydantic.BaseModel):
+    """Defensive Host projection of the SDK interaction request contract."""
+
+    interaction_id: str = pydantic.Field(min_length=1, max_length=255)
+    kind: typing.Literal['form', 'confirmation', 'choice'] = 'form'
+    title: str = pydantic.Field(min_length=1, max_length=1000)
+    description: str | None = pydantic.Field(default=None, max_length=10000)
+    fields: list[HostInteractionField] = pydantic.Field(default_factory=list, max_length=50)
+    actions: list[HostInteractionAction] = pydantic.Field(default_factory=list, max_length=20)
+    expires_at: int | None = None
+    fallback_text: str = pydantic.Field(min_length=1, max_length=20000)
+
+    model_config = pydantic.ConfigDict(extra='forbid')
+
+
+class HostInteractionSubmission(pydantic.BaseModel):
+    """Host-normalized platform callback payload."""
+
+    interaction_id: str = pydantic.Field(min_length=1, max_length=255)
+    action_id: str | None = pydantic.Field(default=None, max_length=128)
+    values: dict[str, typing.Any] = pydantic.Field(default_factory=dict)
+    submitted_at: int | None = None
+
+    model_config = pydantic.ConfigDict(extra='forbid')
+
+
+class InteractionManager:
+    """Consume the interaction action whitelist for one Host application."""
+
+    def __init__(self, ap: typing.Any, store: InteractionStore | None = None):
+        self.ap = ap
+        self.store = store or InteractionStore(ap.persistence_mgr.get_db_engine())
+
+    async def handle_result(
+        self,
+        *,
+        result_dict: dict[str, typing.Any],
+        event: AgentEventEnvelope,
+        binding: AgentBinding,
+        descriptor: AgentRunnerDescriptor,
+        run_id: str,
+        adapter_context: dict[str, typing.Any] | None,
+    ) -> bool:
+        """Execute an authorized interaction request; return whether it was consumed."""
+        data = result_dict.get('data')
+        if not isinstance(data, dict) or data.get('action') != INTERACTION_REQUESTED_ACTION:
+            return False
+
+        self._authorize(descriptor, binding)
+        payload = data.get('payload')
+        try:
+            request = HostInteractionRequest.model_validate(payload)
+        except pydantic.ValidationError as exc:
+            raise RunnerProtocolError(descriptor.id, f'invalid interaction request: {exc}') from exc
+
+        processor_id = binding.processor_id or binding.agent_id
+        if not processor_id:
+            raise RunnerProtocolError(descriptor.id, 'interaction request has no stable processor identity')
+        adapter = self._resolve_adapter(adapter_context)
+        if adapter is None:
+            raise RunnerProtocolError(descriptor.id, 'interaction request has no delivery adapter')
+
+        request_data = request.model_dump(mode='json')
+        now = int(time.time())
+        expires_at = now + DEFAULT_INTERACTION_TTL_SECONDS if request.expires_at is None else request.expires_at
+        if expires_at <= now:
+            raise RunnerProtocolError(descriptor.id, 'interaction request is already expired')
+        if expires_at > now + MAX_INTERACTION_TTL_SECONDS:
+            raise RunnerProtocolError(descriptor.id, 'interaction request expiry exceeds 24 hours')
+        request_data['expires_at'] = expires_at
+        if len(json.dumps(request_data, ensure_ascii=False).encode('utf-8')) > INTERACTION_PAYLOAD_MAX_BYTES:
+            raise RunnerProtocolError(descriptor.id, 'interaction request exceeds 256 KiB')
+        self._validate_request_identity(request, descriptor.id)
+        reply_target = event.delivery.reply_target or {}
+        target_type = reply_target.get('target_type')
+        target_id = reply_target.get('target_id')
+        callback_conversation_id = f'{target_type}_{target_id}' if target_type and target_id else event.conversation_id
+        update_target = await self._find_update_target(
+            event=event,
+            binding=binding,
+            descriptor=descriptor,
+            processor_id=processor_id,
+            conversation_id=callback_conversation_id,
+        )
+        _, callback_token = await self.store.create_request(
+            interaction_id=request.interaction_id,
+            run_id=run_id,
+            binding_id=binding.binding_id,
+            runner_id=descriptor.id,
+            processor_type=binding.processor_type,
+            processor_id=processor_id,
+            request=request_data,
+            delivery_target=reply_target,
+            replaces_interaction_id=(update_target or {}).get('interaction_id'),
+            bot_id=event.bot_id,
+            workspace_id=event.workspace_id,
+            conversation_id=callback_conversation_id,
+            thread_id=event.thread_id,
+            actor_id=event.actor.actor_id if event.actor else None,
+            expires_at=expires_at,
+        )
+
+        try:
+            if self._supports_interaction_delivery(adapter):
+                delivery_params = {
+                    'request': request_data,
+                    'callback_token': callback_token,
+                    'reply_target': event.delivery.reply_target,
+                }
+                if update_target is not None:
+                    delivery_params['update_target'] = update_target.get('delivery_result')
+                try:
+                    delivery_result = await adapter.call_platform_api(
+                        INTERACTION_DELIVERY_API,
+                        delivery_params,
+                    )
+                except Exception as exc:
+                    if update_target is None:
+                        raise
+                    self._warning(f'Interaction update failed; sending a new presentation: {exc}')
+                    fallback_params = dict(delivery_params)
+                    fallback_params.pop('update_target', None)
+                    delivery_result = await adapter.call_platform_api(
+                        INTERACTION_DELIVERY_API,
+                        fallback_params,
+                    )
+                if isinstance(delivery_result, dict):
+                    try:
+                        await self.store.record_delivery_success(
+                            run_id,
+                            request.interaction_id,
+                            delivery_result,
+                        )
+                    except Exception as exc:
+                        self._warning(f'Failed to persist interaction delivery result: {exc}')
+            else:
+                await self._deliver_fallback(adapter, event, request.fallback_text)
+        except Exception as exc:
+            await self.store.mark_delivery_failed(run_id, request.interaction_id, str(exc))
+            raise
+        return True
+
+    async def acknowledge_submission(self, record: dict[str, typing.Any], adapter: typing.Any) -> None:
+        """Best-effort transition of submitted controls into a read-only state."""
+        delivery_result = record.get('delivery_result')
+        if not isinstance(delivery_result, dict) or not self._supports_platform_api(
+            adapter, INTERACTION_ACKNOWLEDGE_API
+        ):
+            return
+        try:
+            delivery_result = await adapter.call_platform_api(
+                INTERACTION_ACKNOWLEDGE_API,
+                {
+                    'request': record.get('request') or {},
+                    'submission': record.get('submission') or {},
+                    'update_target': delivery_result,
+                },
+            )
+            if isinstance(delivery_result, dict):
+                await self.store.record_delivery_success(
+                    record['run_id'],
+                    record['interaction_id'],
+                    delivery_result,
+                )
+        except Exception as exc:
+            self._warning(f'Failed to acknowledge interaction submission: {exc}')
+
+    async def _find_update_target(
+        self,
+        *,
+        event: AgentEventEnvelope,
+        binding: AgentBinding,
+        descriptor: AgentRunnerDescriptor,
+        processor_id: str,
+        conversation_id: str | None,
+    ) -> dict[str, typing.Any] | None:
+        capabilities = getattr(event.delivery, 'interactions', None)
+        if not capabilities or not getattr(capabilities, 'supports_updates', False):
+            return None
+        prior = getattr(event.input, 'interaction', None)
+        prior_interaction_id = getattr(prior, 'interaction_id', None)
+        if not prior_interaction_id:
+            return None
+        return await self.store.find_update_target(
+            interaction_id=str(prior_interaction_id),
+            binding_id=binding.binding_id,
+            runner_id=descriptor.id,
+            processor_type=binding.processor_type,
+            processor_id=processor_id,
+            bot_id=event.bot_id,
+            conversation_id=conversation_id,
+            actor_id=event.actor.actor_id if event.actor else None,
+        )
+
+    @staticmethod
+    def _validate_request_identity(request: HostInteractionRequest, runner_id: str) -> None:
+        field_ids = [field.id for field in request.fields]
+        action_ids = [action.id for action in request.actions]
+        if len(field_ids) != len(set(field_ids)):
+            raise RunnerProtocolError(runner_id, 'interaction request has duplicate field IDs')
+        if len(action_ids) != len(set(action_ids)):
+            raise RunnerProtocolError(runner_id, 'interaction request has duplicate action IDs')
+        for field in request.fields:
+            if field.type in {'select', 'multiselect'} and not field.options:
+                raise RunnerProtocolError(
+                    runner_id,
+                    f'interaction field {field.id} requires at least one option',
+                )
+            option_values = [option.value for option in field.options]
+            if len(option_values) != len(set(option_values)):
+                raise RunnerProtocolError(
+                    runner_id,
+                    f'interaction field {field.id} has duplicate option values',
+                )
+
+    async def consume_callback(
+        self,
+        *,
+        callback_token: str,
+        submission: dict[str, typing.Any],
+        bot_id: str | None,
+        conversation_id: str | None,
+        actor_id: str | None,
+    ) -> dict[str, typing.Any]:
+        """Validate a platform callback and return the persisted resume target."""
+        pending = await self.store.get_by_callback_token(callback_token)
+        if pending is None:
+            from .interaction_store import InteractionNotFoundError
+
+            raise InteractionNotFoundError('Unknown interaction callback token')
+        normalized_submission = self._resolve_submission_refs(pending, submission)
+        try:
+            normalized = HostInteractionSubmission.model_validate(normalized_submission)
+        except pydantic.ValidationError as exc:
+            raise ValueError(f'invalid interaction submission: {exc}') from exc
+        self._validate_submission(pending, normalized)
+        submission_data = normalized.model_dump(mode='json')
+        submission_data['submitted_at'] = int(time.time())
+        if len(json.dumps(submission_data, ensure_ascii=False).encode('utf-8')) > 256 * 1024:
+            raise ValueError('interaction submission exceeds 256 KiB')
+        return await self.store.consume_submission(
+            callback_token=callback_token,
+            submission=submission_data,
+            bot_id=bot_id,
+            conversation_id=conversation_id,
+            actor_id=actor_id,
+            submitted_at=submission_data['submitted_at'],
+        )
+
+    @staticmethod
+    def _resolve_submission_refs(
+        pending: dict[str, typing.Any],
+        submission: dict[str, typing.Any],
+    ) -> dict[str, typing.Any]:
+        """Resolve compact platform indexes against the persisted request."""
+        resolved = dict(submission)
+        resolved['interaction_id'] = pending['interaction_id']
+        request = pending.get('request') if isinstance(pending.get('request'), dict) else {}
+
+        action_ref = resolved.pop('action_ref', None)
+        if action_ref is not None:
+            actions = request.get('actions') if isinstance(request.get('actions'), list) else []
+            try:
+                action = actions[InteractionManager._callback_index(action_ref, 'action')]
+            except (IndexError, TypeError, ValueError) as exc:
+                raise ValueError('interaction action reference is invalid') from exc
+            if not isinstance(action, dict) or not action.get('id'):
+                raise ValueError('interaction action reference has no action ID')
+            resolved['action_id'] = str(action['id'])
+
+        field_ref = resolved.pop('field_ref', None)
+        option_ref = resolved.pop('option_ref', None)
+        if field_ref is not None or option_ref is not None:
+            fields = request.get('fields') if isinstance(request.get('fields'), list) else []
+            try:
+                field = fields[InteractionManager._callback_index(field_ref, 'field')]
+                option = field['options'][InteractionManager._callback_index(option_ref, 'option')]
+            except (IndexError, KeyError, TypeError, ValueError) as exc:
+                raise ValueError('interaction field option reference is invalid') from exc
+            if not isinstance(field, dict) or not field.get('id') or not isinstance(option, dict):
+                raise ValueError('interaction field option reference is malformed')
+            resolved['values'] = {str(field['id']): option.get('value')}
+
+        return resolved
+
+    @staticmethod
+    def _callback_index(value: typing.Any, label: str) -> int:
+        if isinstance(value, bool):
+            raise ValueError(f'interaction {label} reference is not an integer')
+        if isinstance(value, int):
+            index = value
+        elif isinstance(value, str) and value.isdigit():
+            index = int(value)
+        else:
+            raise ValueError(f'interaction {label} reference is not an integer')
+        if index < 0:
+            raise ValueError(f'interaction {label} reference is negative')
+        return index
+
+    @staticmethod
+    def _validate_submission(
+        pending: dict[str, typing.Any],
+        submission: HostInteractionSubmission,
+    ) -> None:
+        request = pending.get('request') if isinstance(pending.get('request'), dict) else {}
+        actions = request.get('actions') if isinstance(request.get('actions'), list) else []
+        action_ids = {str(action.get('id')) for action in actions if isinstance(action, dict) and action.get('id')}
+        if submission.action_id is not None and submission.action_id not in action_ids:
+            raise ValueError('interaction submission action is not present in the request')
+
+        fields = request.get('fields') if isinstance(request.get('fields'), list) else []
+        fields_by_id = {str(field.get('id')): field for field in fields if isinstance(field, dict) and field.get('id')}
+        for field_id, value in submission.values.items():
+            field = fields_by_id.get(field_id)
+            if field is None:
+                raise ValueError(f'interaction submission field is not present in the request: {field_id}')
+            field_type = field.get('type')
+            if field_type not in {'select', 'multiselect'}:
+                continue
+            options = field.get('options') if isinstance(field.get('options'), list) else []
+            allowed_values = {
+                option.get('value')
+                for option in options
+                if isinstance(option, dict) and option.get('value') is not None
+            }
+            selected_values = value if field_type == 'multiselect' and isinstance(value, list) else [value]
+            if field_type == 'multiselect' and not isinstance(value, list):
+                raise ValueError(f'interaction multiselect field requires a list: {field_id}')
+            if any(selected not in allowed_values for selected in selected_values):
+                raise ValueError(f'interaction submission option is not present in the request: {field_id}')
+
+    @staticmethod
+    def _authorize(descriptor: AgentRunnerDescriptor, binding: AgentBinding) -> None:
+        supports_interactions = bool(getattr(descriptor.capabilities, 'interactions', False))
+        permissions = set(getattr(descriptor.permissions, 'interactions', []) or [])
+        if not supports_interactions or 'request' not in permissions:
+            raise RunnerProtocolError(descriptor.id, 'runner did not declare interaction capability and permission')
+        if not binding.delivery_policy.enable_interactions:
+            raise RunnerProtocolError(descriptor.id, 'binding delivery policy does not allow interactions')
+
+    @staticmethod
+    def _resolve_adapter(adapter_context: dict[str, typing.Any] | None) -> typing.Any | None:
+        if not adapter_context:
+            return None
+        query = adapter_context.get('_query')
+        if query is not None and getattr(query, 'adapter', None) is not None:
+            return query.adapter
+        return adapter_context.get('_delivery_adapter')
+
+    @staticmethod
+    def _supports_interaction_delivery(adapter: typing.Any) -> bool:
+        return InteractionManager._supports_platform_api(adapter, INTERACTION_DELIVERY_API)
+
+    @staticmethod
+    def _supports_platform_api(adapter: typing.Any, api_name: str) -> bool:
+        get_supported_apis = getattr(adapter, 'get_supported_apis', None)
+        if not callable(get_supported_apis):
+            return False
+        try:
+            return api_name in (get_supported_apis() or [])
+        except Exception:
+            return False
+
+    def _warning(self, message: str) -> None:
+        logger = getattr(self.ap, 'logger', None)
+        warning = getattr(logger, 'warning', None)
+        if callable(warning):
+            warning(message)
+
+    @staticmethod
+    async def _deliver_fallback(adapter: typing.Any, event: AgentEventEnvelope, text: str) -> None:
+        target = event.delivery.reply_target or {}
+        target_type = target.get('target_type')
+        target_id = target.get('target_id')
+        if not target_type or not target_id:
+            raise ValueError('interaction fallback has no reply target')
+        await adapter.send_message(
+            str(target_type),
+            str(target_id),
+            platform_message.MessageChain([platform_message.Plain(text=text)]),
+        )

src/langbot/pkg/agent/runner/interaction_store.py

@@ -0,0 +1,407 @@
+"""Persistent Host store for structured interaction requests."""
+
+from __future__ import annotations
+
+import datetime
+import hashlib
+import json
+import secrets
+import typing
+
+import sqlalchemy
+from sqlalchemy.exc import IntegrityError
+from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession
+from sqlalchemy.orm import sessionmaker
+
+from ...entity.persistence.agent_interaction import AgentInteraction
+
+
+UTC = datetime.timezone.utc
+INTERACTION_STATUSES = {'pending', 'submitted', 'expired', 'cancelled', 'delivery_failed'}
+PROCESSOR_TYPES = {'agent', 'pipeline'}
+
+
+class InteractionStoreError(Exception):
+    """Base error for interaction persistence operations."""
+
+
+class InteractionNotFoundError(InteractionStoreError):
+    """Raised when a callback token does not identify an interaction."""
+
+
+class InteractionScopeError(InteractionStoreError):
+    """Raised when a callback does not belong to the stored delivery scope."""
+
+
+class InteractionExpiredError(InteractionStoreError):
+    """Raised when an interaction is no longer accepting submissions."""
+
+
+class InteractionAlreadySubmittedError(InteractionStoreError):
+    """Raised when an interaction callback is replayed."""
+
+
+class DuplicateInteractionError(InteractionStoreError):
+    """Raised when one run emits the same interaction ID more than once."""
+
+
+def _utc_now() -> datetime.datetime:
+    return datetime.datetime.now(UTC)
+
+
+def _as_utc(value: datetime.datetime | None) -> datetime.datetime | None:
+    if value is None:
+        return None
+    if value.tzinfo is None:
+        return value.replace(tzinfo=UTC)
+    return value.astimezone(UTC)
+
+
+def _epoch_to_datetime(value: int | float | None) -> datetime.datetime | None:
+    if value is None:
+        return None
+    try:
+        return datetime.datetime.fromtimestamp(float(value), UTC)
+    except (TypeError, ValueError, OSError) as exc:
+        raise ValueError('expires_at must be a valid epoch timestamp') from exc
+
+
+def _datetime_to_epoch(value: datetime.datetime | None) -> int | None:
+    normalized = _as_utc(value)
+    return int(normalized.timestamp()) if normalized is not None else None
+
+
+def _json_dumps(value: typing.Any) -> str:
+    return json.dumps(value, ensure_ascii=False, separators=(',', ':'))
+
+
+def _json_loads(value: str | None, default: typing.Any) -> typing.Any:
+    if not value:
+        return default
+    try:
+        return json.loads(value)
+    except (TypeError, ValueError):
+        return default
+
+
+def _token_hash(token: str) -> str:
+    return hashlib.sha256(token.encode('utf-8')).hexdigest()
+
+
+class InteractionStore:
+    """Store interaction correlation and consume callbacks exactly once."""
+
+    def __init__(self, engine: AsyncEngine):
+        self.engine = engine
+        self._session_factory = sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
+
+    async def create_request(
+        self,
+        *,
+        interaction_id: str,
+        run_id: str,
+        binding_id: str,
+        runner_id: str,
+        processor_type: str,
+        processor_id: str,
+        request: dict[str, typing.Any],
+        delivery_target: dict[str, typing.Any] | None,
+        replaces_interaction_id: str | None = None,
+        bot_id: str | None = None,
+        workspace_id: str | None = None,
+        conversation_id: str | None = None,
+        thread_id: str | None = None,
+        actor_id: str | None = None,
+        expires_at: int | float | None = None,
+    ) -> tuple[dict[str, typing.Any], str]:
+        """Persist a request and return its record plus one-time callback token."""
+        if not interaction_id or not run_id or not binding_id or not runner_id or not processor_id:
+            raise ValueError('interaction, run, binding, runner, and processor IDs are required')
+        if processor_type not in PROCESSOR_TYPES:
+            raise ValueError(f'Unsupported processor type: {processor_type}')
+
+        request_json = _json_dumps(request)
+        delivery_target_json = _json_dumps(delivery_target) if delivery_target is not None else None
+        expires_at_dt = _epoch_to_datetime(expires_at)
+        now = _utc_now()
+        if expires_at_dt is not None and expires_at_dt <= now:
+            raise ValueError('expires_at must be in the future')
+
+        callback_token = secrets.token_urlsafe(18)
+        row = AgentInteraction(
+            interaction_id=interaction_id,
+            run_id=run_id,
+            binding_id=binding_id,
+            runner_id=runner_id,
+            processor_type=processor_type,
+            processor_id=processor_id,
+            bot_id=bot_id,
+            workspace_id=workspace_id,
+            conversation_id=conversation_id,
+            thread_id=thread_id,
+            actor_id=actor_id,
+            status='pending',
+            request_json=request_json,
+            delivery_target_json=delivery_target_json,
+            replaces_interaction_id=replaces_interaction_id,
+            callback_token_hash=_token_hash(callback_token),
+            expires_at=expires_at_dt,
+            created_at=now,
+            updated_at=now,
+        )
+
+        async with self._session_factory() as session:
+            existing = await self._get_by_run_interaction(session, run_id, interaction_id)
+            if existing is not None:
+                raise DuplicateInteractionError(f'Interaction {interaction_id} already exists for run {run_id}')
+            session.add(row)
+            try:
+                await session.commit()
+            except IntegrityError as exc:
+                await session.rollback()
+                raise DuplicateInteractionError(
+                    f'Interaction {interaction_id} could not be created for run {run_id}'
+                ) from exc
+            return self._to_dict(row), callback_token
+
+    async def record_delivery_success(
+        self,
+        run_id: str,
+        interaction_id: str,
+        delivery_result: dict[str, typing.Any],
+    ) -> bool:
+        """Persist the platform presentation handle returned after delivery."""
+        payload = _json_dumps(delivery_result)
+        if len(payload.encode('utf-8')) > 64 * 1024:
+            raise ValueError('interaction delivery result exceeds 64 KiB')
+        async with self._session_factory() as session:
+            result = await session.execute(
+                sqlalchemy.update(AgentInteraction)
+                .where(
+                    AgentInteraction.run_id == run_id,
+                    AgentInteraction.interaction_id == interaction_id,
+                    AgentInteraction.status.in_(['pending', 'submitted']),
+                )
+                .values(delivery_result_json=payload, updated_at=_utc_now())
+            )
+            await session.commit()
+            return result.rowcount == 1
+
+    async def find_update_target(
+        self,
+        *,
+        interaction_id: str,
+        binding_id: str,
+        runner_id: str,
+        processor_type: str,
+        processor_id: str,
+        bot_id: str | None,
+        conversation_id: str | None,
+        actor_id: str | None,
+    ) -> dict[str, typing.Any] | None:
+        """Find a submitted interaction whose platform presentation can be replaced."""
+        if not interaction_id:
+            return None
+        conditions = [
+            AgentInteraction.interaction_id == interaction_id,
+            AgentInteraction.binding_id == binding_id,
+            AgentInteraction.runner_id == runner_id,
+            AgentInteraction.processor_type == processor_type,
+            AgentInteraction.processor_id == processor_id,
+            AgentInteraction.status == 'submitted',
+            AgentInteraction.delivery_result_json.is_not(None),
+        ]
+        for column, value in (
+            (AgentInteraction.bot_id, bot_id),
+            (AgentInteraction.conversation_id, conversation_id),
+            (AgentInteraction.actor_id, actor_id),
+        ):
+            conditions.append(column.is_(None) if value is None else column == value)
+
+        async with self._session_factory() as session:
+            result = await session.execute(
+                sqlalchemy.select(AgentInteraction)
+                .where(*conditions)
+                .order_by(AgentInteraction.submitted_at.desc(), AgentInteraction.id.desc())
+                .limit(1)
+            )
+            row = result.scalar_one_or_none()
+            return self._to_dict(row) if row is not None else None
+
+    async def get_request(self, run_id: str, interaction_id: str) -> dict[str, typing.Any] | None:
+        """Return a request by the runner-visible identity."""
+        async with self._session_factory() as session:
+            row = await self._get_by_run_interaction(session, run_id, interaction_id)
+            return self._to_dict(row) if row is not None else None
+
+    async def get_by_callback_token(self, callback_token: str) -> dict[str, typing.Any] | None:
+        """Resolve callback metadata without exposing the stored token hash."""
+        if not callback_token:
+            return None
+        async with self._session_factory() as session:
+            result = await session.execute(
+                sqlalchemy.select(AgentInteraction).where(
+                    AgentInteraction.callback_token_hash == _token_hash(callback_token)
+                )
+            )
+            row = result.scalar_one_or_none()
+            return self._to_dict(row) if row is not None else None
+
+    async def consume_submission(
+        self,
+        *,
+        callback_token: str,
+        submission: dict[str, typing.Any],
+        bot_id: str | None,
+        conversation_id: str | None,
+        actor_id: str | None,
+        submitted_at: int | float | None = None,
+    ) -> dict[str, typing.Any]:
+        """Validate and atomically consume one platform callback."""
+        if not callback_token:
+            raise InteractionNotFoundError('Missing interaction callback token')
+        now = _utc_now()
+        submission_time = _epoch_to_datetime(submitted_at) or now
+        token_hash = _token_hash(callback_token)
+
+        async with self._session_factory() as session:
+            result = await session.execute(
+                sqlalchemy.select(AgentInteraction).where(AgentInteraction.callback_token_hash == token_hash)
+            )
+            row = result.scalar_one_or_none()
+            if row is None:
+                raise InteractionNotFoundError('Unknown interaction callback token')
+            if row.status == 'submitted':
+                raise InteractionAlreadySubmittedError('Interaction was already submitted')
+            if row.status != 'pending':
+                raise InteractionExpiredError(f'Interaction is not pending: {row.status}')
+
+            if submission.get('interaction_id') != row.interaction_id:
+                raise InteractionScopeError('Interaction ID does not match callback token')
+
+            expires_at = _as_utc(row.expires_at)
+            if expires_at is not None and expires_at <= now:
+                row.status = 'expired'
+                row.status_reason = 'interaction expired before submission'
+                row.updated_at = now
+                await session.commit()
+                raise InteractionExpiredError('Interaction has expired')
+
+            self._validate_scope(row, bot_id, conversation_id, actor_id)
+
+            update_result = await session.execute(
+                sqlalchemy.update(AgentInteraction)
+                .where(
+                    AgentInteraction.id == row.id,
+                    AgentInteraction.status == 'pending',
+                )
+                .values(
+                    status='submitted',
+                    submitted_at=submission_time,
+                    submission_json=_json_dumps(submission),
+                    updated_at=now,
+                )
+            )
+            if update_result.rowcount != 1:
+                await session.rollback()
+                raise InteractionAlreadySubmittedError('Interaction callback lost an idempotency race')
+            await session.commit()
+
+            refreshed = await session.get(AgentInteraction, row.id)
+            if refreshed is None:
+                raise InteractionNotFoundError('Interaction disappeared after submission')
+            return self._to_dict(refreshed)
+
+    async def mark_delivery_failed(self, run_id: str, interaction_id: str, reason: str) -> bool:
+        """Mark an undelivered pending interaction terminal."""
+        now = _utc_now()
+        async with self._session_factory() as session:
+            result = await session.execute(
+                sqlalchemy.update(AgentInteraction)
+                .where(
+                    AgentInteraction.run_id == run_id,
+                    AgentInteraction.interaction_id == interaction_id,
+                    AgentInteraction.status == 'pending',
+                )
+                .values(status='delivery_failed', status_reason=reason, updated_at=now)
+            )
+            await session.commit()
+            return result.rowcount == 1
+
+    async def expire_pending(self, *, now: datetime.datetime | None = None) -> int:
+        """Expire pending interactions whose deadline has elapsed."""
+        cutoff = _as_utc(now) or _utc_now()
+        async with self._session_factory() as session:
+            result = await session.execute(
+                sqlalchemy.update(AgentInteraction)
+                .where(
+                    AgentInteraction.status == 'pending',
+                    AgentInteraction.expires_at.is_not(None),
+                    AgentInteraction.expires_at <= cutoff,
+                )
+                .values(
+                    status='expired',
+                    status_reason='interaction expired',
+                    updated_at=cutoff,
+                )
+            )
+            await session.commit()
+            return int(result.rowcount or 0)
+
+    @staticmethod
+    def _validate_scope(
+        row: AgentInteraction,
+        bot_id: str | None,
+        conversation_id: str | None,
+        actor_id: str | None,
+    ) -> None:
+        checks = (
+            ('bot', row.bot_id, bot_id),
+            ('conversation', row.conversation_id, conversation_id),
+            ('actor', row.actor_id, actor_id),
+        )
+        for label, expected, actual in checks:
+            if expected is not None and expected != actual:
+                raise InteractionScopeError(f'Interaction {label} scope mismatch')
+
+    @staticmethod
+    async def _get_by_run_interaction(
+        session: AsyncSession,
+        run_id: str,
+        interaction_id: str,
+    ) -> AgentInteraction | None:
+        result = await session.execute(
+            sqlalchemy.select(AgentInteraction).where(
+                AgentInteraction.run_id == run_id,
+                AgentInteraction.interaction_id == interaction_id,
+            )
+        )
+        return result.scalar_one_or_none()
+
+    @staticmethod
+    def _to_dict(row: AgentInteraction) -> dict[str, typing.Any]:
+        return {
+            'id': row.id,
+            'interaction_id': row.interaction_id,
+            'run_id': row.run_id,
+            'binding_id': row.binding_id,
+            'runner_id': row.runner_id,
+            'processor_type': row.processor_type,
+            'processor_id': row.processor_id,
+            'bot_id': row.bot_id,
+            'workspace_id': row.workspace_id,
+            'conversation_id': row.conversation_id,
+            'thread_id': row.thread_id,
+            'actor_id': row.actor_id,
+            'status': row.status,
+            'request': _json_loads(row.request_json, {}),
+            'delivery_target': _json_loads(row.delivery_target_json, None),
+            'delivery_result': _json_loads(row.delivery_result_json, None),
+            'replaces_interaction_id': row.replaces_interaction_id,
+            'expires_at': _datetime_to_epoch(row.expires_at),
+            'submitted_at': _datetime_to_epoch(row.submitted_at),
+            'submission': _json_loads(row.submission_json, None),
+            'status_reason': row.status_reason,
+            'created_at': _datetime_to_epoch(row.created_at),
+            'updated_at': _datetime_to_epoch(row.updated_at),
+        }

src/langbot/pkg/agent/runner/orchestrator.py

@@ -22,6 +22,7 @@ from .execution_context import (
 )
 from .host_models import AgentBinding, AgentEventEnvelope
 from .invoker import AgentRunnerInvoker
+from .interaction_manager import InteractionManager
 from .query_bridge import QueryRunBridge
 from .registry import AgentRunnerRegistry
 from .resource_builder import AgentResourceBuilder
@@ -51,6 +52,7 @@ class AgentRunOrchestrator:
     binding_resolver: AgentBindingResolver
     query_bridge: QueryRunBridge
     invoker: AgentRunnerInvoker
+    interaction_manager: InteractionManager
     journal: AgentRunJournal
     _session_registry: AgentRunSessionRegistry
 
@@ -67,6 +69,7 @@ class AgentRunOrchestrator:
         self.binding_resolver = AgentBindingResolver()
         self.query_bridge = QueryRunBridge(self.binding_resolver)
         self.invoker = AgentRunnerInvoker(ap)
+        self.interaction_manager = InteractionManager(ap)
         self.journal = AgentRunJournal(ap)
         self._session_registry = get_session_registry()
 
@@ -130,6 +133,8 @@ class AgentRunOrchestrator:
         run_authorization = {
             'runner_id': descriptor.id,
             'binding_id': binding.binding_id,
+            'processor_type': binding.processor_type,
+            'processor_id': binding.processor_id,
             'plugin_identity': descriptor.get_plugin_id(),
             'resources': resources,
             'available_apis': available_apis,
@@ -252,6 +257,17 @@ class AgentRunOrchestrator:
                     await self.result_normalizer.normalize(result_dict, descriptor)
                     continue
 
+                if result_type == 'action.requested':
+                    if await self.interaction_manager.handle_result(
+                        result_dict=result_dict,
+                        event=event,
+                        binding=binding,
+                        descriptor=descriptor,
+                        run_id=run_id,
+                        adapter_context=adapter_context,
+                    ):
+                        continue
+
                 if result_type == 'run.completed':
                     terminal_status = 'completed'
                     terminal_reason = (

src/langbot/pkg/agent/runner/query_entry_adapter.py

@@ -7,6 +7,7 @@ Protocol v1 architecture without exposing Query internals to runners.
 from __future__ import annotations
 
 import hashlib
+import math
 import typing
 
 from langbot_plugin.api.entities.builtin.pipeline import query as pipeline_query
@@ -129,16 +130,25 @@ class QueryEntryAdapter:
         delivery_policy = DeliveryPolicy(
             enable_streaming=True,
             enable_reply=True,
+            enable_interactions=True,
+        )
+        variables = getattr(query, 'variables', None) or {}
+        event_type = (
+            runner_events.INTERACTION_SUBMITTED
+            if isinstance(variables.get('_interaction_submission'), dict)
+            else runner_events.MESSAGE_RECEIVED
         )
 
         return AgentConfig(
             agent_id=agent_id,
+            processor_type='pipeline',
+            processor_id=agent_id,
             runner_id=runner_id,
             runner_config=runner_config,
             resource_policy=resource_policy,
             state_policy=state_policy,
             delivery_policy=delivery_policy,
-            event_types=[runner_events.MESSAGE_RECEIVED],
+            event_types=[event_type],
             enabled=True,
             metadata={'source': 'pipeline_adapter'},
         )
@@ -217,22 +227,37 @@ class QueryEntryAdapter:
         if message_id == -1:
             message_id = None
 
-        event_time = None
-        if message_event:
-            event_time = getattr(message_event, 'time', None)
-        if isinstance(event_time, (int, float)):
-            event_time = int(event_time)
+        event_time = cls._normalize_event_time(getattr(message_event, 'time', None) if message_event else None)
+
+        variables = getattr(query, 'variables', None) or {}
+        interaction = variables.get('_interaction_submission')
+        event_type = runner_events.MESSAGE_RECEIVED
+        if isinstance(interaction, dict):
+            event_type = runner_events.INTERACTION_SUBMITTED
+            event_data['interaction'] = interaction
 
         source_event_id = str(message_id or query.query_id)
         return AgentEventContext(
             event_id=cls._build_scoped_event_id(query, source_event_id, event_time),
-            event_type=runner_events.MESSAGE_RECEIVED,
+            event_type=event_type,
             event_time=event_time,
             source='host_adapter',
             source_event_type=source_event_type,
             data=event_data,
         )
 
+    @staticmethod
+    def _normalize_event_time(value: typing.Any) -> int | None:
+        """Normalize legacy second/millisecond/microsecond Unix timestamps."""
+        if isinstance(value, bool) or not isinstance(value, (int, float)):
+            return None
+        timestamp = float(value)
+        if not math.isfinite(timestamp):
+            return None
+        while abs(timestamp) > 10_000_000_000:
+            timestamp /= 1000
+        return int(timestamp)
+
     @classmethod
     def _compact_event_data(
         cls,
@@ -370,6 +395,15 @@ class QueryEntryAdapter:
         if launcher_type is not None:
             launcher_type_value = getattr(launcher_type, 'value', launcher_type)
 
+        variables = getattr(query, 'variables', None) or {}
+        interaction = variables.get('_interaction_submission')
+        if isinstance(interaction, dict):
+            return SubjectContext(
+                subject_type='interaction',
+                subject_id=str(interaction.get('interaction_id') or ''),
+                data={'action_id': interaction.get('action_id')},
+            )
+
         return SubjectContext(
             subject_type='message',
             subject_id=str(message_id or query_id or ''),
@@ -435,11 +469,16 @@ class QueryEntryAdapter:
 
         attachments = cls._build_attachments(query, contents)
 
-        return AgentInput(
-            text=text,
-            contents=contents,
-            attachments=attachments,
-        )
+        input_data: dict[str, typing.Any] = {
+            'text': text,
+            'contents': contents,
+            'attachments': attachments,
+        }
+        variables = getattr(query, 'variables', None) or {}
+        interaction = variables.get('_interaction_submission')
+        if isinstance(interaction, dict) and 'interaction' in AgentInput.model_fields:
+            input_data['interaction'] = interaction
+        return AgentInput.model_validate(input_data)
 
     @classmethod
     def _build_attachments(
@@ -570,16 +609,42 @@ class QueryEntryAdapter:
     ) -> DeliveryContext:
         """Build DeliveryContext from Query."""
         message_chain = getattr(query, 'message_chain', None)
-        return DeliveryContext(
-            surface='platform',
-            reply_target={
+        launcher_type = getattr(query, 'launcher_type', None)
+        target_type = getattr(launcher_type, 'value', launcher_type)
+        target_id = getattr(query, 'launcher_id', None)
+        adapter = getattr(query, 'adapter', None)
+        supported_apis: list[str] = []
+        get_supported_apis = getattr(adapter, 'get_supported_apis', None)
+        if callable(get_supported_apis):
+            try:
+                declared_apis = get_supported_apis()
+                if isinstance(declared_apis, (list, tuple, set)):
+                    supported_apis = list(dict.fromkeys(api for api in declared_apis if isinstance(api, str) and api))
+            except Exception:
+                pass
+
+        delivery_data: dict[str, typing.Any] = {
+            'surface': 'platform',
+            'reply_target': {
+                'target_type': target_type,
+                'target_id': target_id,
                 'message_id': getattr(message_chain, 'message_id', None),
             },
-            supports_streaming=True,
-            supports_edit=False,
-            supports_reaction=False,
-            platform_capabilities={},
-        )
+            'supports_streaming': True,
+            'supports_edit': 'edit_message' in supported_apis,
+            'supports_reaction': bool({'add_reaction', 'remove_reaction'} & set(supported_apis)),
+            'platform_capabilities': {
+                'adapter': adapter.__class__.__name__ if adapter is not None else None,
+                'supported_apis': supported_apis,
+            },
+        }
+        if 'interactions' in DeliveryContext.model_fields and 'interaction.request' in supported_apis:
+            get_capabilities = getattr(adapter, 'get_interaction_capabilities', None)
+            if callable(get_capabilities):
+                capabilities = get_capabilities()
+                if isinstance(capabilities, dict):
+                    delivery_data['interactions'] = capabilities
+        return DeliveryContext.model_validate(delivery_data)
 
     @classmethod
     def _build_raw_ref(

src/langbot/pkg/agent/runner/result_normalizer.py

@@ -1,4 +1,5 @@
 """Agent result normalizer for converting AgentRunResult to Pipeline messages."""
+
 from __future__ import annotations
 
 import typing
@@ -57,7 +58,7 @@ class AgentResultNormalizer:
     - state.updated
     - run.completed
     - run.failed
-    - action.requested (log only, don't execute)
+    - action.requested (non-whitelisted actions are telemetry only)
     """
 
     ap: app.Application
@@ -91,6 +92,7 @@ class AgentResultNormalizer:
         # Validate result size
         try:
             import json
+
             result_json = json.dumps(result_dict)
             if len(result_json) > MAX_RESULT_SIZE_BYTES:
                 self.ap.logger.warning(
@@ -120,16 +122,12 @@ class AgentResultNormalizer:
 
         elif result_type == 'tool.call.started':
             # Log only, don't yield to pipeline
-            self.ap.logger.debug(
-                f'Runner {descriptor.id} tool call started: {data.get("tool_name", "unknown")}'
-            )
+            self.ap.logger.debug(f'Runner {descriptor.id} tool call started: {data.get("tool_name", "unknown")}')
             return None
 
         elif result_type == 'tool.call.completed':
             # Log only, don't yield to pipeline
-            self.ap.logger.debug(
-                f'Runner {descriptor.id} tool call completed: {data.get("tool_name", "unknown")}'
-            )
+            self.ap.logger.debug(f'Runner {descriptor.id} tool call completed: {data.get("tool_name", "unknown")}')
             return None
 
         elif result_type == 'state.updated':
@@ -161,10 +159,9 @@ class AgentResultNormalizer:
             )
 
         elif result_type == 'action.requested':
-            # Reserved for EBA - log only, don't execute
+            # The orchestrator consumes whitelisted actions before normalization.
             self.ap.logger.info(
-                f'Runner {descriptor.id} requested action (not executed in current phase): '
-                f'{data.get("action", "unknown")}'
+                f'Runner {descriptor.id} requested unsupported action (not executed): {data.get("action", "unknown")}'
             )
             return None
 

src/langbot/pkg/entity/persistence/agent_interaction.py

@@ -0,0 +1,61 @@
+"""Host-owned structured interaction persistence entities."""
+
+from __future__ import annotations
+
+import datetime
+
+import sqlalchemy
+
+from .base import Base
+
+
+class AgentInteraction(Base):
+    """Persist one interaction request and its eventual submission."""
+
+    __tablename__ = 'agent_interaction'
+
+    id = sqlalchemy.Column(sqlalchemy.Integer, primary_key=True, autoincrement=True)
+    interaction_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=False)
+    run_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True)
+    binding_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True)
+    runner_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True)
+    processor_type = sqlalchemy.Column(sqlalchemy.String(50), nullable=False, index=True)
+    processor_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=False, index=True)
+
+    bot_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
+    workspace_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
+    conversation_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
+    thread_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
+    actor_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True, index=True)
+
+    status = sqlalchemy.Column(sqlalchemy.String(50), nullable=False, index=True)
+    request_json = sqlalchemy.Column(sqlalchemy.Text, nullable=False)
+    delivery_target_json = sqlalchemy.Column(sqlalchemy.Text, nullable=True)
+    delivery_result_json = sqlalchemy.Column(sqlalchemy.Text, nullable=True)
+    replaces_interaction_id = sqlalchemy.Column(sqlalchemy.String(255), nullable=True)
+    callback_token_hash = sqlalchemy.Column(sqlalchemy.String(64), nullable=False, unique=True, index=True)
+
+    expires_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True, index=True)
+    submitted_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=True)
+    submission_json = sqlalchemy.Column(sqlalchemy.Text, nullable=True)
+    status_reason = sqlalchemy.Column(sqlalchemy.Text, nullable=True)
+
+    created_at = sqlalchemy.Column(sqlalchemy.DateTime, nullable=False, default=datetime.datetime.utcnow)
+    updated_at = sqlalchemy.Column(
+        sqlalchemy.DateTime,
+        nullable=False,
+        default=datetime.datetime.utcnow,
+        onupdate=datetime.datetime.utcnow,
+    )
+
+    __table_args__ = (
+        sqlalchemy.UniqueConstraint('run_id', 'interaction_id', name='uq_agent_interaction_run_interaction'),
+        sqlalchemy.Index(
+            'ix_agent_interaction_scope_status',
+            'bot_id',
+            'conversation_id',
+            'actor_id',
+            'status',
+        ),
+        sqlalchemy.Index('ix_agent_interaction_processor_status', 'processor_type', 'processor_id', 'status'),
+    )

src/langbot/pkg/persistence/alembic/env.py

@@ -17,6 +17,7 @@ from langbot.pkg.entity.persistence.base import Base
 # This is required for autogenerate to detect model changes
 from langbot.pkg.entity.persistence import (
     agent,  # noqa: F401
+    agent_interaction,  # noqa: F401
     agent_run,  # noqa: F401
     agent_runner_state,  # noqa: F401
     apikey,  # noqa: F401

src/langbot/pkg/persistence/alembic/versions/0013_add_agent_interactions.py

@@ -0,0 +1,83 @@
+"""Add Host-owned structured interaction records.
+
+Revision ID: 0013_agent_interactions
+Revises: 0012_monitoring_tool_calls
+"""
+
+from alembic import op
+import sqlalchemy as sa
+
+
+revision = '0013_agent_interactions'
+down_revision = '0012_monitoring_tool_calls'
+branch_labels = None
+depends_on = None
+
+
+_INDEXES = {
+    'ix_agent_interaction_actor_id': (['actor_id'], False),
+    'ix_agent_interaction_binding_id': (['binding_id'], False),
+    'ix_agent_interaction_bot_id': (['bot_id'], False),
+    'ix_agent_interaction_callback_token_hash': (['callback_token_hash'], True),
+    'ix_agent_interaction_conversation_id': (['conversation_id'], False),
+    'ix_agent_interaction_expires_at': (['expires_at'], False),
+    'ix_agent_interaction_processor_id': (['processor_id'], False),
+    'ix_agent_interaction_processor_status': (['processor_type', 'processor_id', 'status'], False),
+    'ix_agent_interaction_processor_type': (['processor_type'], False),
+    'ix_agent_interaction_run_id': (['run_id'], False),
+    'ix_agent_interaction_runner_id': (['runner_id'], False),
+    'ix_agent_interaction_scope_status': (['bot_id', 'conversation_id', 'actor_id', 'status'], False),
+    'ix_agent_interaction_status': (['status'], False),
+}
+
+
+def _table_exists() -> bool:
+    return 'agent_interaction' in sa.inspect(op.get_bind()).get_table_names()
+
+
+def _index_names() -> set[str]:
+    if not _table_exists():
+        return set()
+    return {index['name'] for index in sa.inspect(op.get_bind()).get_indexes('agent_interaction')}
+
+
+def upgrade() -> None:
+    if not _table_exists():
+        op.create_table(
+            'agent_interaction',
+            sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
+            sa.Column('interaction_id', sa.String(length=255), nullable=False),
+            sa.Column('run_id', sa.String(length=255), nullable=False),
+            sa.Column('binding_id', sa.String(length=255), nullable=False),
+            sa.Column('runner_id', sa.String(length=255), nullable=False),
+            sa.Column('processor_type', sa.String(length=50), nullable=False),
+            sa.Column('processor_id', sa.String(length=255), nullable=False),
+            sa.Column('bot_id', sa.String(length=255), nullable=True),
+            sa.Column('workspace_id', sa.String(length=255), nullable=True),
+            sa.Column('conversation_id', sa.String(length=255), nullable=True),
+            sa.Column('thread_id', sa.String(length=255), nullable=True),
+            sa.Column('actor_id', sa.String(length=255), nullable=True),
+            sa.Column('status', sa.String(length=50), nullable=False),
+            sa.Column('request_json', sa.Text(), nullable=False),
+            sa.Column('delivery_target_json', sa.Text(), nullable=True),
+            sa.Column('callback_token_hash', sa.String(length=64), nullable=False),
+            sa.Column('expires_at', sa.DateTime(), nullable=True),
+            sa.Column('submitted_at', sa.DateTime(), nullable=True),
+            sa.Column('submission_json', sa.Text(), nullable=True),
+            sa.Column('status_reason', sa.Text(), nullable=True),
+            sa.Column('created_at', sa.DateTime(), nullable=False),
+            sa.Column('updated_at', sa.DateTime(), nullable=False),
+            sa.PrimaryKeyConstraint('id'),
+            sa.UniqueConstraint('callback_token_hash'),
+            sa.UniqueConstraint('run_id', 'interaction_id', name='uq_agent_interaction_run_interaction'),
+        )
+
+    existing_indexes = _index_names()
+    for index_name, (columns, unique) in _INDEXES.items():
+        if index_name not in existing_indexes:
+            op.create_index(index_name, 'agent_interaction', columns, unique=unique)
+
+
+def downgrade() -> None:
+    if _table_exists():
+        op.drop_table('agent_interaction')

src/langbot/pkg/persistence/alembic/versions/0014_add_interaction_delivery_result.py

@@ -0,0 +1,42 @@
+"""Persist interaction presentation handles for in-place updates.
+
+Revision ID: 0014_interaction_delivery
+Revises: 0013_agent_interactions
+"""
+
+from alembic import op
+import sqlalchemy as sa
+
+
+revision = '0014_interaction_delivery'
+down_revision = '0013_agent_interactions'
+branch_labels = None
+depends_on = None
+
+
+def _column_names() -> set[str]:
+    bind = op.get_bind()
+    if 'agent_interaction' not in sa.inspect(bind).get_table_names():
+        return set()
+    return {column['name'] for column in sa.inspect(bind).get_columns('agent_interaction')}
+
+
+def upgrade() -> None:
+    columns = _column_names()
+    if not columns:
+        return
+    if 'delivery_result_json' not in columns:
+        op.add_column('agent_interaction', sa.Column('delivery_result_json', sa.Text(), nullable=True))
+    if 'replaces_interaction_id' not in columns:
+        op.add_column(
+            'agent_interaction',
+            sa.Column('replaces_interaction_id', sa.String(length=255), nullable=True),
+        )
+
+
+def downgrade() -> None:
+    columns = _column_names()
+    if 'replaces_interaction_id' in columns:
+        op.drop_column('agent_interaction', 'replaces_interaction_id')
+    if 'delivery_result_json' in columns:
+        op.drop_column('agent_interaction', 'delivery_result_json')

src/langbot/pkg/pipeline/aggregator.py

@@ -38,6 +38,7 @@ class PendingMessage:
     adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter
     pipeline_uuid: typing.Optional[str]
     routed_by_rule: bool = False
+    variables: dict[str, typing.Any] | None = None
     timestamp: float = field(default_factory=time.time)
 
 
@@ -127,6 +128,7 @@ class MessageAggregator:
         adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
         pipeline_uuid: typing.Optional[str] = None,
         routed_by_rule: bool = False,
+        variables: dict[str, typing.Any] | None = None,
     ) -> None:
         """Add a message to the aggregation buffer
 
@@ -135,6 +137,8 @@ class MessageAggregator:
         merged with other messages from the same session.
         """
         enabled, delay = await self._get_aggregation_config(pipeline_uuid)
+        if variables:
+            enabled = False
 
         if not enabled:
             # Aggregation disabled, send directly to query pool
@@ -148,6 +152,7 @@ class MessageAggregator:
                 adapter=adapter,
                 pipeline_uuid=pipeline_uuid,
                 routed_by_rule=routed_by_rule,
+                variables=variables,
             )
             return
 
@@ -163,6 +168,7 @@ class MessageAggregator:
             adapter=adapter,
             pipeline_uuid=pipeline_uuid,
             routed_by_rule=routed_by_rule,
+            variables=variables,
         )
 
         force_flush = False
@@ -222,6 +228,7 @@ class MessageAggregator:
                 adapter=msg.adapter,
                 pipeline_uuid=msg.pipeline_uuid,
                 routed_by_rule=msg.routed_by_rule,
+                variables=msg.variables,
             )
             return
 
@@ -237,6 +244,7 @@ class MessageAggregator:
             adapter=merged_msg.adapter,
             pipeline_uuid=merged_msg.pipeline_uuid,
             routed_by_rule=merged_msg.routed_by_rule,
+            variables=merged_msg.variables,
         )
 
     def _merge_messages(self, messages: list[PendingMessage]) -> PendingMessage:
@@ -276,6 +284,7 @@ class MessageAggregator:
             adapter=base_msg.adapter,
             pipeline_uuid=base_msg.pipeline_uuid,
             routed_by_rule=any(msg.routed_by_rule for msg in messages),
+            variables=base_msg.variables,
         )
 
     async def flush_all(self) -> None:

src/langbot/pkg/pipeline/pipelinemgr.py

@@ -179,7 +179,7 @@ class RuntimePipeline:
                     bot_message=query.resp_messages[-1],
                     message=result.user_notice,
                     quote_origin=query.pipeline_config['output']['misc']['quote-origin'],
-                    is_final=[msg.is_final for msg in query.resp_messages][-1],
+                    is_final=query.resp_messages[-1].is_final,
                 )
             else:
                 await query.adapter.reply_message(

src/langbot/pkg/pipeline/pool.py

@@ -42,7 +42,7 @@ class QueryPool:
         adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
         pipeline_uuid: typing.Optional[str] = None,
         routed_by_rule: bool = False,
-        variables: typing.Optional[dict[str, typing.Any]] = None,
+        variables: dict[str, typing.Any] | None = None,
     ) -> pipeline_query.Query:
         async with self.condition:
             query_id = self.query_id_counter

src/langbot/pkg/pipeline/respback/respback.py

@@ -43,9 +43,12 @@ class SendResponseBackStage(stage.PipelineStage):
         response_index = len(query.resp_message_chain) - 1
         message_chain = query.resp_message_chain[-1]
 
+        is_streaming_response = False
+        is_final = False
         try:
-            if await query.adapter.is_stream_output_supported() and has_chunks:
-                is_final = [msg.is_final for msg in query.resp_messages][-1]
+            is_streaming_response = await query.adapter.is_stream_output_supported() and has_chunks
+            if is_streaming_response:
+                is_final = query.resp_messages[-1].is_final
                 await query.adapter.reply_message_chunk(
                     message_source=query.message_event,
                     bot_message=query.resp_messages[-1],
@@ -68,6 +71,24 @@ class SendResponseBackStage(stage.PipelineStage):
                 e,
             )
             plugin_diagnostics.clear_response_source(query, response_index)
+            if is_streaming_response:
+                self.ap.logger.warning(
+                    'Streaming response delivery failed; continuing runner event consumption: %s',
+                    e,
+                )
+                if is_final:
+                    try:
+                        await query.adapter.reply_message(
+                            message_source=query.message_event,
+                            message=message_chain,
+                            quote_origin=quote_origin,
+                        )
+                    except Exception as fallback_error:
+                        self.ap.logger.warning(
+                            'Final non-streaming response fallback also failed: %s',
+                            fallback_error,
+                        )
+                return entities.StageProcessResult(result_type=entities.ResultType.CONTINUE, new_query=query)
             raise
         plugin_diagnostics.clear_response_source(query, response_index)
 

src/langbot/pkg/platform/adapters/dingtalk/adapter.py

@@ -14,6 +14,11 @@ from langbot.pkg.platform.adapters.dingtalk.api_impl import DingTalkAPIMixin
 from langbot.pkg.platform.adapters.dingtalk.event_converter import DingTalkEventConverter
 from langbot.pkg.platform.adapters.dingtalk.message_converter import DingTalkMessageConverter
 from langbot.pkg.platform.adapters.dingtalk.platform_api import PLATFORM_API_MAP
+from langbot.pkg.platform.adapters.dingtalk.interaction import (
+    interaction_delivery_capabilities,
+    interaction_event_from_native,
+    send_interaction,
+)
 from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
 from langbot_plugin.api.entities.builtin.platform import events as platform_events
 from langbot_plugin.api.entities.builtin.platform import message as platform_message
@@ -27,6 +32,9 @@ class DingTalkCardCallbackHandler(dingtalk_stream.CallbackHandler):
 
     async def process(self, message: dingtalk_stream.CallbackMessage):
         callback = dingtalk_stream.CardCallbackMessage.from_dict(message.data or {})
+        content = dict(callback.content) if isinstance(callback.content, dict) else {}
+        if isinstance(message.data, dict):
+            content['_raw_callback'] = message.data
         event = DingTalkEvent.from_payload(
             {
                 'conversation_type': 'CardCallback',
@@ -35,7 +43,7 @@ class DingTalkCardCallbackHandler(dingtalk_stream.CallbackHandler):
                     'extension': callback.extension,
                     'corp_id': callback.corp_id,
                     'user_id': callback.user_id,
-                    'content': callback.content,
+                    'content': content,
                     'space_id': callback.space_id,
                     'card_instance_id': callback.card_instance_id,
                 },
@@ -61,6 +69,7 @@ class DingTalkAdapter(DingTalkAPIMixin, abstract_platform_adapter.AbstractPlatfo
     _message_cache: dict[str, platform_events.MessageReceivedEvent] = {}
     _user_cache: dict[str, platform_entities.User] = {}
     _group_cache: dict[str, platform_entities.UserGroup] = {}
+    interaction_callback_contexts: dict[str, dict[str, typing.Any]] = {}
 
     class Config:
         arbitrary_types_allowed = True
@@ -89,6 +98,7 @@ class DingTalkAdapter(DingTalkAPIMixin, abstract_platform_adapter.AbstractPlatfo
             _message_cache={},
             _user_cache={},
             _group_cache={},
+            interaction_callback_contexts={},
         )
         self._register_native_handlers()
 
@@ -100,7 +110,7 @@ class DingTalkAdapter(DingTalkAPIMixin, abstract_platform_adapter.AbstractPlatfo
         ]
 
     def get_supported_apis(self) -> list[str]:
-        return [
+        apis = [
             'send_message',
             'reply_message',
             'get_message',
@@ -112,6 +122,16 @@ class DingTalkAdapter(DingTalkAPIMixin, abstract_platform_adapter.AbstractPlatfo
             'get_file_url',
             'call_platform_api',
         ]
+        if self.config.get('human_input_card_template_id') and hasattr(self.bot, 'create_and_deliver_card'):
+            apis.append('interaction.request')
+        return apis
+
+    def get_interaction_capabilities(self) -> dict[str, typing.Any]:
+        return interaction_delivery_capabilities()
+
+    @staticmethod
+    def _plain_message(text: str) -> platform_message.MessageChain:
+        return platform_message.MessageChain([platform_message.Plain(text=text)])
 
     async def send_message(
         self,
@@ -184,6 +204,8 @@ class DingTalkAdapter(DingTalkAPIMixin, abstract_platform_adapter.AbstractPlatfo
         return bool(self.config.get('enable-stream-reply', False))
 
     async def call_platform_api(self, action: str, params: dict = {}) -> dict:
+        if action == 'interaction.request' and action in self.get_supported_apis():
+            return await send_interaction(self, params)
         handler = PLATFORM_API_MAP.get(action)
         if handler is None:
             raise NotSupportedError(f'call_platform_api:{action}')
@@ -233,6 +255,10 @@ class DingTalkAdapter(DingTalkAPIMixin, abstract_platform_adapter.AbstractPlatfo
 
     async def _handle_native_event(self, event: DingTalkEvent):
         try:
+            interaction_event = interaction_event_from_native(event, self.interaction_callback_contexts)
+            if interaction_event is not None:
+                await self._dispatch_eba_event(interaction_event)
+                return
             await self.logger.debug(
                 'DingTalk EBA event received: '
                 f'conversation={event.conversation}, message_id={getattr(event.incoming_message, "message_id", None)}'

src/langbot/pkg/platform/adapters/dingtalk/interaction.py

@@ -0,0 +1,346 @@
+"""DingTalk card rendering and callbacks for structured interactions."""
+
+from __future__ import annotations
+
+import json
+import time
+import typing
+import uuid
+
+from langbot.libs.dingtalk_api.dingtalkevent import DingTalkEvent
+from langbot_plugin.api.entities.builtin.platform import events as platform_events
+
+
+def interaction_delivery_capabilities() -> dict[str, typing.Any]:
+    return {
+        'field_types': ['text', 'textarea', 'number', 'select'],
+        'action_styles': ['default', 'primary', 'danger'],
+        'supports_updates': True,
+        'max_fields': 1,
+    }
+
+
+def _select_options(options: list[dict[str, typing.Any]]) -> list[dict[str, typing.Any]]:
+    locales = ['zh_CN', 'zh_TW', 'en_US', 'ja_JP', 'vi_VN', 'th_TH', 'id_ID', 'ms_MY', 'ko_KR']
+    result = []
+    for option in options:
+        value = str(option.get('value') or '')
+        label = str(option.get('label') or value)
+        if value:
+            result.append({'value': value, 'text': {locale: label for locale in locales}})
+    return result
+
+
+def _field_card_params(field: dict[str, typing.Any]) -> dict[str, typing.Any] | None:
+    field_type = str(field.get('type') or '')
+    field_id = str(field.get('id') or '')
+    if field_type not in {'text', 'textarea', 'number', 'select'} or not field_id:
+        return None
+    label = str(field.get('label') or field_id)
+    placeholder = str(field.get('placeholder') or label)
+    default = field.get('default')
+    params: dict[str, typing.Any] = {
+        'input_visible': '',
+        'input_title': '',
+        'input_placeholder': '',
+        'input_value': '',
+        'select_visible': '',
+        'select_placeholder': '',
+        'select_options': [],
+        'index_o': [],
+        'select_index': -1,
+    }
+    if field_type == 'select':
+        raw_options = field.get('options') if isinstance(field.get('options'), list) else []
+        options = [option for option in raw_options if isinstance(option, dict)]
+        encoded_options = _select_options(options)
+        if not encoded_options:
+            return None
+        selected_index = next(
+            (index for index, option in enumerate(options) if str(option.get('value')) == str(default)),
+            -1,
+        )
+        params.update(
+            {
+                'select_visible': 'true',
+                'select_placeholder': placeholder,
+                'select_options': [str(option.get('value') or '') for option in options],
+                'index_o': encoded_options,
+                'select_index': selected_index,
+            }
+        )
+    else:
+        params.update(
+            {
+                'input_visible': 'true',
+                'input_title': label,
+                'input_placeholder': placeholder,
+                'input_value': '' if default is None else str(default),
+            }
+        )
+    return params
+
+
+def _prune_callback_contexts(adapter: typing.Any, now: float | None = None) -> None:
+    now = time.monotonic() if now is None else now
+    contexts = adapter.interaction_callback_contexts
+    for key in [key for key, value in contexts.items() if float(value.get('expires_at') or 0) <= now]:
+        contexts.pop(key, None)
+
+
+def _buttons(request: dict[str, typing.Any], callback_token: str) -> list[dict[str, typing.Any]]:
+    fields = request.get('fields') if isinstance(request.get('fields'), list) else []
+    actions = request.get('actions') if isinstance(request.get('actions'), list) else []
+    items: list[tuple[str, str, str]] = []
+    if actions and not fields:
+        items = [
+            (
+                str(action.get('label') or action.get('id') or index + 1),
+                f'lbi:{callback_token}:a:{index}',
+                str(action.get('style') or 'default'),
+            )
+            for index, action in enumerate(actions)
+            if isinstance(action, dict)
+        ]
+    elif len(fields) == 1 and not actions and isinstance(fields[0], dict):
+        field = fields[0]
+        if field.get('type') != 'select':
+            return []
+        options = field.get('options') if isinstance(field.get('options'), list) else []
+        items = [
+            (
+                str(option.get('label') or option.get('value') or index + 1),
+                f'lbi:{callback_token}:f:0:{index}',
+                'default',
+            )
+            for index, option in enumerate(options)
+            if isinstance(option, dict)
+        ]
+    return [
+        {
+            'text': label,
+            'color': 'blue' if style == 'primary' else 'red' if style == 'danger' else 'gray',
+            'status': 'normal',
+            'event': {
+                'type': 'sendCardRequest',
+                'params': {'actionId': callback_data, 'params': {'action_id': callback_data}},
+            },
+        }
+        for label, callback_data, style in items
+    ]
+
+
+async def send_interaction(adapter: typing.Any, params: dict[str, typing.Any]) -> dict[str, typing.Any]:
+    request = params.get('request')
+    reply_target = params.get('reply_target')
+    callback_token = str(params.get('callback_token') or '')
+    if not isinstance(request, dict) or not isinstance(reply_target, dict) or not callback_token:
+        raise ValueError('interaction.request requires request, reply_target, and callback_token')
+    target_type = str(reply_target.get('target_type') or '')
+    target_id = str(reply_target.get('target_id') or '')
+    fields = request.get('fields') if isinstance(request.get('fields'), list) else []
+    actions = request.get('actions') if isinstance(request.get('actions'), list) else []
+    buttons = _buttons(request, callback_token)
+    field_params = (
+        _field_card_params(fields[0]) if len(fields) == 1 and not actions and isinstance(fields[0], dict) else None
+    )
+    if not buttons and field_params is None:
+        fallback = '\n\n'.join(
+            part
+            for part in (
+                str(request.get('title') or '').strip(),
+                str(request.get('description') or '').strip(),
+                str(request.get('fallback_text') or '').strip(),
+            )
+            if part
+        )
+        result = await adapter.send_message(target_type, target_id, adapter._plain_message(fallback))
+        return {'ok': True, 'message_id': result.message_id, 'rich': False}
+    if target_type not in {'group', 'person'} or not target_id:
+        raise ValueError('interaction.request has an invalid DingTalk target')
+    field_label = str(fields[0].get('label') or '').strip() if fields and isinstance(fields[0], dict) else ''
+    content = '\n\n'.join(
+        part
+        for part in (
+            f'## {str(request.get("title") or "").strip()}',
+            str(request.get('description') or '').strip(),
+            field_label,
+        )
+        if part
+    )
+    out_track_id = uuid.uuid4().hex
+    card_param_map = {'content': content, 'btns': buttons}
+    if field_params is not None:
+        card_param_map.update(field_params)
+    await adapter.bot.create_and_deliver_card(
+        card_template_id=adapter.config['human_input_card_template_id'],
+        out_track_id=out_track_id,
+        open_space_id=(
+            f'dtv1.card//IM_GROUP.{target_id}' if target_type == 'group' else f'dtv1.card//IM_ROBOT.{target_id}'
+        ),
+        is_group=target_type == 'group',
+        card_param_map=card_param_map,
+    )
+    if field_params is not None:
+        _prune_callback_contexts(adapter)
+        field = fields[0]
+        adapter.interaction_callback_contexts[out_track_id] = {
+            'callback_token': callback_token,
+            'field_id': str(field.get('id') or ''),
+            'field_type': str(field.get('type') or ''),
+            'options': [
+                str(option.get('value') or '') for option in field.get('options') or [] if isinstance(option, dict)
+            ],
+            'expires_at': time.monotonic() + 30 * 60,
+        }
+    return {'ok': True, 'message_id': out_track_id, 'rich': True}
+
+
+def parse_callback_data(value: str) -> dict[str, typing.Any]:
+    parts = value.split(':')
+    if len(parts) == 4 and parts[0] == 'lbi' and parts[1] and parts[2] == 'a' and parts[3].isdigit():
+        return {'callback_token': parts[1], 'action_ref': int(parts[3])}
+    if (
+        len(parts) == 5
+        and parts[0] == 'lbi'
+        and parts[1]
+        and parts[2] == 'f'
+        and parts[3].isdigit()
+        and parts[4].isdigit()
+    ):
+        return {
+            'callback_token': parts[1],
+            'field_ref': int(parts[3]),
+            'option_ref': int(parts[4]),
+        }
+    raise ValueError('invalid DingTalk interaction callback data')
+
+
+def _find_callback_data(value: typing.Any) -> str:
+    if isinstance(value, str):
+        return value if value.startswith('lbi:') else ''
+    if isinstance(value, dict):
+        for key in ('actionId', 'action_id', 'id'):
+            found = _find_callback_data(value.get(key))
+            if found:
+                return found
+        for child in value.values():
+            found = _find_callback_data(child)
+            if found:
+                return found
+    if isinstance(value, list):
+        for child in value:
+            found = _find_callback_data(child)
+            if found:
+                return found
+    return ''
+
+
+def _find_named_value(value: typing.Any, names: set[str]) -> typing.Any:
+    if isinstance(value, dict):
+        for key, child in value.items():
+            if key in names and child not in (None, ''):
+                return child
+        for child in value.values():
+            found = _find_named_value(child, names)
+            if found not in (None, ''):
+                return found
+    elif isinstance(value, list):
+        for child in value:
+            found = _find_named_value(child, names)
+            if found not in (None, ''):
+                return found
+    return None
+
+
+def _callback_track_id(callback: dict[str, typing.Any]) -> str:
+    value = _find_named_value(callback, {'outTrackId', 'out_track_id', 'outtrackid'})
+    return str(value or '')
+
+
+def _mapping(value: typing.Any) -> dict[str, typing.Any]:
+    if isinstance(value, dict):
+        return value
+    if isinstance(value, str):
+        try:
+            parsed = json.loads(value)
+        except json.JSONDecodeError:
+            return {}
+        return parsed if isinstance(parsed, dict) else {}
+    return {}
+
+
+def _native_field_value(callback: dict[str, typing.Any], context: dict[str, typing.Any]) -> typing.Any:
+    field_type = str(context.get('field_type') or '')
+    names = (
+        {'select', 'selectResult', 'select_result', '__built_in_selectResult__'}
+        if field_type == 'select'
+        else {'input', 'inputResult', 'input_result', '__built_in_inputResult__'}
+    )
+    value = _find_named_value(callback, names)
+    parsed = _mapping(value)
+    if parsed:
+        value = parsed.get('value', parsed.get('input', parsed.get('index')))
+    if isinstance(value, dict):
+        value = value.get('value') or value.get('input') or value.get('index')
+    if field_type == 'select' and isinstance(value, int) and not isinstance(value, bool):
+        options = context.get('options') if isinstance(context.get('options'), list) else []
+        if 0 <= value < len(options):
+            value = options[value]
+    if field_type == 'number' and value not in (None, ''):
+        text = str(value).strip()
+        try:
+            return int(text)
+        except ValueError:
+            try:
+                return float(text)
+            except ValueError:
+                return value
+    return value
+
+
+def interaction_event_from_native(
+    event: DingTalkEvent,
+    callback_contexts: dict[str, dict[str, typing.Any]] | None = None,
+) -> platform_events.PlatformSpecificEvent | None:
+    callback = event.get('CardCallback') or {}
+    callback_data = _find_callback_data(callback)
+    if callback_data:
+        parsed = parse_callback_data(callback_data)
+    else:
+        contexts = callback_contexts if callback_contexts is not None else {}
+        track_id = _callback_track_id(callback)
+        context = contexts.get(track_id)
+        if context is None:
+            return None
+        value = _native_field_value(callback, context)
+        if value in (None, ''):
+            return None
+        parsed = {
+            'callback_token': str(context.get('callback_token') or ''),
+            'values': {str(context.get('field_id') or ''): value},
+        }
+        contexts.pop(track_id, None)
+    space_id = str(callback.get('space_id') or '')
+    if 'IM_GROUP.' in space_id:
+        target_type = 'group'
+        target_id = space_id.split('IM_GROUP.', 1)[1]
+    elif 'IM_ROBOT.' in space_id:
+        target_type = 'person'
+        target_id = space_id.split('IM_ROBOT.', 1)[1]
+    else:
+        raise ValueError('DingTalk interaction callback has no delivery space')
+    return platform_events.PlatformSpecificEvent(
+        type='platform.specific',
+        adapter_name='dingtalk-eba',
+        action='interaction.submitted',
+        data={
+            **parsed,
+            'actor_id': str(callback.get('user_id') or ''),
+            'target_type': target_type,
+            'target_id': target_id,
+            'display_text': 'submitted',
+        },
+        timestamp=time.time(),
+        source_platform_object=event,
+    )

src/langbot/pkg/platform/adapters/dingtalk/manifest.yaml

@@ -90,6 +90,19 @@ spec:
       required: true
       default: "填写你的卡片template_id"
 
+    - name: human_input_card_template_id
+      label:
+        en_US: Human Input Card Template ID
+        zh_Hans: 人工输入卡片模板 ID
+        zh_Hant: 人工輸入卡片範本 ID
+      description:
+        en_US: Import the bundled `src/langbot/templates/dingtalk_human_input_card.json`, then enter its DingTalk template ID here. It contains the `content`, `btns`, `input_*`, `select_*`, and `index_o` variables required for native interactions.
+        zh_Hans: 可选。模板需包含 `content`、`btns`、`input_*`、`select_*` 和 `index_o` 变量以支持原生交互。
+        zh_Hant: 可選。範本需包含 `content`、`btns`、`input_*`、`select_*` 和 `index_o` 變數以支援原生互動。
+      type: string
+      required: false
+      default: ""
+
   supported_events:
     - message.received
     - feedback.received
@@ -108,6 +121,7 @@ spec:
       - get_friend_list
       - get_file_url
       - call_platform_api
+      - interaction.request
 
   platform_specific_apis:
     - action: check_access_token

src/langbot/pkg/platform/adapters/discord/adapter.py

@@ -13,6 +13,12 @@ from langbot.pkg.platform.adapters.discord.api_impl import DiscordAPIMixin
 from langbot.pkg.platform.adapters.discord.event_converter import DiscordEventConverter
 from langbot.pkg.platform.adapters.discord.message_converter import DiscordMessageConverter
 from langbot.pkg.platform.adapters.discord.platform_api import PLATFORM_API_MAP
+from langbot.pkg.platform.adapters.discord.interaction import (
+    interaction_delivery_capabilities,
+    interaction_event_from_component,
+    parse_interaction_custom_id,
+    send_interaction,
+)
 from langbot_plugin.api.entities.builtin.platform import events as platform_events
 from langbot_plugin.api.entities.builtin.platform import message as platform_message
 
@@ -63,6 +69,25 @@ class DiscordAdapter(DiscordAPIMixin, abstract_platform_adapter.AbstractPlatform
                 except Exception:
                     await adapter_self.logger.error(f'Error in discord on_message: {traceback.format_exc()}')
 
+            async def on_interaction(self: discord.Client, interaction: discord.Interaction):
+                custom_id = (interaction.data or {}).get('custom_id') if isinstance(interaction.data, dict) else None
+                try:
+                    parsed = parse_interaction_custom_id(custom_id)
+                except ValueError:
+                    if not interaction.response.is_done():
+                        await interaction.response.send_message('Invalid or expired action', ephemeral=True)
+                    return
+                if parsed is None:
+                    return
+                if not interaction.response.is_done():
+                    await interaction.response.defer()
+                try:
+                    await adapter_self._dispatch_eba_event(interaction_event_from_component(interaction, parsed))
+                    if interaction.message is not None:
+                        await interaction.message.edit(view=None)
+                except Exception:
+                    await adapter_self.logger.error(f'Error in Discord interaction callback: {traceback.format_exc()}')
+
             async def on_message_edit(self: discord.Client, before: discord.Message, after: discord.Message):
                 await adapter_self._dispatch_gateway_tuple(
                     'message_edit', (before, after), self.user.id if self.user else None
@@ -176,8 +201,12 @@ class DiscordAdapter(DiscordAPIMixin, abstract_platform_adapter.AbstractPlatform
             'kick_member',
             'leave_group',
             'call_platform_api',
+            'interaction.request',
         ]
 
+    def get_interaction_capabilities(self) -> dict[str, typing.Any]:
+        return interaction_delivery_capabilities()
+
     async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
         content, files = await self.message_converter.yiri2target(message)
         channel = await self._get_channel(target_id)
@@ -238,6 +267,8 @@ class DiscordAdapter(DiscordAPIMixin, abstract_platform_adapter.AbstractPlatform
         self.listeners.pop(event_type, None)
 
     async def call_platform_api(self, action: str, params: dict = {}) -> dict:
+        if action == 'interaction.request':
+            return await send_interaction(self, params)
         handler = PLATFORM_API_MAP.get(action)
         if handler is None:
             from langbot_plugin.api.entities.builtin.platform.errors import NotSupportedError

src/langbot/pkg/platform/adapters/discord/interaction.py

@@ -0,0 +1,132 @@
+"""Discord component rendering and callbacks for structured interactions."""
+
+from __future__ import annotations
+
+import time
+import typing
+
+import discord
+
+from langbot_plugin.api.entities.builtin.platform import events as platform_events
+
+
+def interaction_delivery_capabilities() -> dict[str, typing.Any]:
+    return {
+        'field_types': ['select'],
+        'action_styles': ['default', 'primary', 'danger'],
+        'supports_updates': True,
+        'max_fields': 1,
+    }
+
+
+def parse_interaction_custom_id(custom_id: str | None) -> dict[str, typing.Any] | None:
+    if not custom_id or not custom_id.startswith('lbi:'):
+        return None
+    parts = custom_id.split(':')
+    if len(parts) == 4 and parts[1] and parts[2] == 'a' and parts[3].isdigit():
+        return {'callback_token': parts[1], 'action_ref': int(parts[3])}
+    if len(parts) == 5 and parts[1] and parts[2] == 'f' and parts[3].isdigit() and parts[4].isdigit():
+        return {
+            'callback_token': parts[1],
+            'field_ref': int(parts[3]),
+            'option_ref': int(parts[4]),
+        }
+    raise ValueError('invalid Discord interaction custom_id')
+
+
+def _style(value: str) -> discord.ButtonStyle:
+    if value == 'primary':
+        return discord.ButtonStyle.primary
+    if value == 'danger':
+        return discord.ButtonStyle.danger
+    return discord.ButtonStyle.secondary
+
+
+def build_interaction_view(request: dict[str, typing.Any], callback_token: str) -> discord.ui.View | None:
+    fields = request.get('fields') if isinstance(request.get('fields'), list) else []
+    actions = request.get('actions') if isinstance(request.get('actions'), list) else []
+    view = discord.ui.View(timeout=None)
+
+    if actions and not fields:
+        for index, action in enumerate(actions):
+            if not isinstance(action, dict):
+                continue
+            view.add_item(
+                discord.ui.Button(
+                    label=str(action.get('label') or action.get('id') or index + 1)[:80],
+                    style=_style(str(action.get('style') or 'default')),
+                    custom_id=f'lbi:{callback_token}:a:{index}',
+                )
+            )
+    elif len(fields) == 1 and not actions and isinstance(fields[0], dict):
+        field = fields[0]
+        if field.get('type') != 'select':
+            return None
+        options = field.get('options') if isinstance(field.get('options'), list) else []
+        for option_index, option in enumerate(options):
+            if not isinstance(option, dict):
+                continue
+            view.add_item(
+                discord.ui.Button(
+                    label=str(option.get('label') or option.get('value') or option_index + 1)[:80],
+                    style=discord.ButtonStyle.secondary,
+                    custom_id=f'lbi:{callback_token}:f:0:{option_index}',
+                )
+            )
+    else:
+        return None
+    return view if view.children else None
+
+
+def _content(request: dict[str, typing.Any], *, rich: bool) -> str:
+    parts = [str(request.get('title') or '').strip()]
+    description = str(request.get('description') or '').strip()
+    if description:
+        parts.append(description)
+    fields = request.get('fields') if isinstance(request.get('fields'), list) else []
+    if rich and len(fields) == 1 and isinstance(fields[0], dict):
+        label = str(fields[0].get('label') or '').strip()
+        if label:
+            parts.append(label)
+    if not rich:
+        fallback = str(request.get('fallback_text') or '').strip()
+        if fallback:
+            parts.append(fallback)
+    return '\n\n'.join(part for part in parts if part)[:2000]
+
+
+async def send_interaction(adapter: typing.Any, params: dict[str, typing.Any]) -> dict[str, typing.Any]:
+    request = params.get('request')
+    reply_target = params.get('reply_target')
+    callback_token = str(params.get('callback_token') or '')
+    if not isinstance(request, dict) or not isinstance(reply_target, dict) or not callback_token:
+        raise ValueError('interaction.request requires request, reply_target, and callback_token')
+    target_id = str(reply_target.get('target_id') or '')
+    if not target_id:
+        raise ValueError('interaction.request has no target_id')
+    channel = await adapter._get_channel(target_id)
+    view = build_interaction_view(request, callback_token)
+    sent = await channel.send(content=_content(request, rich=view is not None), view=view)
+    return {'ok': True, 'message_id': sent.id, 'rich': view is not None}
+
+
+def interaction_event_from_component(
+    interaction: discord.Interaction,
+    parsed: dict[str, typing.Any],
+) -> platform_events.PlatformSpecificEvent:
+    if interaction.user is None or interaction.channel is None:
+        raise ValueError('Discord interaction has no actor or channel')
+    return platform_events.PlatformSpecificEvent(
+        type='platform.specific',
+        adapter_name='discord',
+        action='interaction.submitted',
+        data={
+            **parsed,
+            'actor_id': str(interaction.user.id),
+            'target_type': 'group' if interaction.guild is not None else 'person',
+            'target_id': str(interaction.channel.id),
+            'display_text': 'submitted',
+        },
+        timestamp=time.time(),
+        source_platform_object=interaction,
+    )

src/langbot/pkg/platform/adapters/discord/manifest.yaml

@@ -60,6 +60,7 @@ spec:
       - kick_member
       - leave_group
       - call_platform_api
+      - interaction.request
 
   platform_specific_apis:
     - action: get_channel

src/langbot/pkg/platform/adapters/lark/adapter.py

@@ -23,12 +23,16 @@ from lark_oapi.api.auth.v3 import (
     ResendAppTicketResponse,
 )
 from lark_oapi.api.cardkit.v1 import (
+    Card,
     ContentCardElementRequest,
     ContentCardElementRequestBody,
     ContentCardElementResponse,
     CreateCardRequest,
     CreateCardRequestBody,
     CreateCardResponse,
+    UpdateCardRequest,
+    UpdateCardRequestBody,
+    UpdateCardResponse,
 )
 from lark_oapi.api.im.v1 import (
     CreateMessageRequest,
@@ -52,6 +56,13 @@ from langbot.pkg.platform.adapters.lark.api_impl import LarkAPIMixin
 from langbot.pkg.platform.adapters.lark.event_converter import LarkEventConverter
 from langbot.pkg.platform.adapters.lark.message_converter import LarkMessageConverter
 from langbot.pkg.platform.adapters.lark.platform_api import PLATFORM_API_MAP
+from langbot.pkg.platform.adapters.lark.interaction import (
+    acknowledge_interaction,
+    interaction_delivery_capabilities,
+    interaction_event_from_callback,
+    interaction_event_from_webhook,
+    send_interaction,
+)
 from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
 from langbot_plugin.api.entities.builtin.platform import events as platform_events
 from langbot_plugin.api.entities.builtin.platform import message as platform_message
@@ -101,6 +112,9 @@ class LarkAdapter(LarkAPIMixin, abstract_platform_adapter.AbstractPlatformAdapte
         typing.Callable[[platform_events.Event, abstract_platform_adapter.AbstractMessagePlatformAdapter], None],
     ] = pydantic.Field(default_factory=dict)
     card_id_dict: dict[str, str] = pydantic.Field(default_factory=dict)
+    card_sequence_dict: dict[str, int] = pydantic.Field(default_factory=dict)
+    card_last_update_dict: dict[str, float] = pydantic.Field(default_factory=dict)
+    closed_streaming_cards: set[str] = pydantic.Field(default_factory=set)
     pending_monitoring_msg: dict[str, str] = pydantic.Field(default_factory=dict)
     reply_to_monitoring_msg: dict[str, tuple[str, float]] = pydantic.Field(default_factory=dict)
     _message_cache: dict[str, platform_events.MessageReceivedEvent] = pydantic.PrivateAttr(default_factory=dict)
@@ -133,6 +147,9 @@ class LarkAdapter(LarkAPIMixin, abstract_platform_adapter.AbstractPlatformAdapte
             cipher=cipher,
             listeners={},
             card_id_dict={},
+            card_sequence_dict={},
+            card_last_update_dict={},
+            closed_streaming_cards=set(),
             pending_monitoring_msg={},
             reply_to_monitoring_msg={},
             event_loop=None,
@@ -177,8 +194,17 @@ class LarkAdapter(LarkAPIMixin, abstract_platform_adapter.AbstractPlatformAdapte
             'get_user_info',
             'get_file_url',
             'call_platform_api',
+            'interaction.request',
+            'interaction.acknowledge',
         ]
 
+    def get_interaction_capabilities(self) -> dict[str, typing.Any]:
+        return interaction_delivery_capabilities()
+
+    @staticmethod
+    def _plain_message(text: str) -> platform_message.MessageChain:
+        return platform_message.MessageChain([platform_message.Plain(text=text)])
+
     def build_api_client(self, config: dict) -> lark_oapi.Client:
         builder = lark_oapi.Client.builder().app_id(config['app_id']).app_secret(config['app_secret'])
         if config.get('app_type', 'self') == 'isv':
@@ -378,7 +404,15 @@ class LarkAdapter(LarkAPIMixin, abstract_platform_adapter.AbstractPlatformAdapte
     async def create_card_id(self, message_id) -> str:
         card_data = {
             'schema': '2.0',
-            'config': {'update_multi': True, 'streaming_mode': True},
+            'config': {
+                'update_multi': True,
+                'streaming_mode': True,
+                'streaming_config': {
+                    'print_step': {'default': 1},
+                    'print_frequency_ms': {'default': 70},
+                    'print_strategy': 'fast',
+                },
+            },
             'body': {
                 'direction': 'vertical',
                 'elements': [{'tag': 'markdown', 'content': '', 'element_id': 'streaming_txt'}],
@@ -392,8 +426,49 @@ class LarkAdapter(LarkAPIMixin, abstract_platform_adapter.AbstractPlatformAdapte
         response: CreateCardResponse = self.api_client.cardkit.v1.card.create(request)
         if not response.success():
             raise RuntimeError(f'Lark create_card failed: {response.code} {response.msg}')
-        self.card_id_dict[str(message_id)] = response.data.card_id
-        return response.data.card_id
+        card_id = str(response.data.card_id)
+        self.card_id_dict[str(message_id)] = card_id
+        self.card_sequence_dict[card_id] = 0
+        self.card_last_update_dict.pop(card_id, None)
+        self.closed_streaming_cards.discard(card_id)
+        return card_id
+
+    def _next_card_sequence(self, card_id: str) -> int:
+        current = self.card_sequence_dict.get(card_id, 0)
+        sequence = current + 1
+        self.card_sequence_dict[card_id] = sequence
+        return sequence
+
+    @staticmethod
+    def _streaming_mode_closed(response: ContentCardElementResponse) -> bool:
+        return response.code == 300309 or 'streaming mode is closed' in str(response.msg).lower()
+
+    async def _replace_streaming_card(self, card_id: str, content: str) -> None:
+        sequence = self._next_card_sequence(card_id)
+        card_data = {
+            'schema': '2.0',
+            'config': {'update_multi': True},
+            'body': {
+                'direction': 'vertical',
+                'elements': [{'tag': 'markdown', 'content': content}],
+            },
+        }
+        request = (
+            UpdateCardRequest.builder()
+            .card_id(card_id)
+            .request_body(
+                UpdateCardRequestBody.builder()
+                .sequence(sequence)
+                .uuid(str(uuid.uuid4()))
+                .card(Card.builder().type('card_json').data(json.dumps(card_data, ensure_ascii=False)).build())
+                .build()
+            )
+            .build()
+        )
+        response: UpdateCardResponse = await self.api_client.cardkit.v1.card.aupdate(request)
+        if not response.success():
+            raise RuntimeError(f'Lark card update failed: {response.code} {response.msg}')
+        self.closed_streaming_cards.add(card_id)
 
     async def reply_message_chunk(
         self,
@@ -403,31 +478,53 @@ class LarkAdapter(LarkAPIMixin, abstract_platform_adapter.AbstractPlatformAdapte
         quote_origin: bool = False,
         is_final: bool = False,
     ):
-        if bot_message.msg_sequence % 8 != 0 and not is_final:
+        card_id = self.card_id_dict[bot_message.resp_message_id]
+        has_sent_update = self.card_sequence_dict.get(card_id, 0) > 0
+        now = time.monotonic()
+        last_update = self.card_last_update_dict.get(card_id, 0.0)
+        is_high_frequency_chunk = now - last_update < 1.0
+        if has_sent_update and is_high_frequency_chunk and bot_message.msg_sequence % 8 != 0 and not is_final:
             return
-        text_elements, _ = await self.message_converter.yiri2target(message, self.api_client)
-        content = '\n\n'.join(
-            ''.join(ele.get('text', '') for ele in paragraph if ele.get('tag') in {'text', 'md'})
-            for paragraph in text_elements
-        )
-        request = (
-            ContentCardElementRequest.builder()
-            .card_id(self.card_id_dict[bot_message.resp_message_id])
-            .element_id('streaming_txt')
-            .request_body(
-                ContentCardElementRequestBody.builder().content(content).sequence(bot_message.msg_sequence).build()
+        cumulative_content = getattr(bot_message, 'all_content', None)
+        if isinstance(cumulative_content, str) and cumulative_content:
+            content = cumulative_content
+        else:
+            text_elements, _ = await self.message_converter.yiri2target(message, self.api_client)
+            content = '\n\n'.join(
+                ''.join(ele.get('text', '') for ele in paragraph if ele.get('tag') in {'text', 'md'})
+                for paragraph in text_elements
             )
-            .build()
-        )
-        response: ContentCardElementResponse = self.api_client.cardkit.v1.card_element.content(
-            request, self.request_option(self._tenant_key_from_source(message_source))
-        )
-        if not response.success():
-            raise RuntimeError(f'Lark card_element update failed: {response.code} {response.msg}')
+        if card_id in self.closed_streaming_cards:
+            await self._replace_streaming_card(card_id, content)
+        else:
+            sequence = self._next_card_sequence(card_id)
+            request = (
+                ContentCardElementRequest.builder()
+                .card_id(card_id)
+                .element_id('streaming_txt')
+                .request_body(ContentCardElementRequestBody.builder().content(content).sequence(sequence).build())
+                .build()
+            )
+            response: ContentCardElementResponse = self.api_client.cardkit.v1.card_element.content(
+                request, self.request_option(self._tenant_key_from_source(message_source))
+            )
+            if not response.success():
+                if self._streaming_mode_closed(response):
+                    await self._replace_streaming_card(card_id, content)
+                else:
+                    raise RuntimeError(f'Lark card_element update failed: {response.code} {response.msg}')
+        self.card_last_update_dict[card_id] = now
         if is_final and bot_message.tool_calls is None:
             self.card_id_dict.pop(bot_message.resp_message_id, None)
+            self.card_sequence_dict.pop(card_id, None)
+            self.card_last_update_dict.pop(card_id, None)
+            self.closed_streaming_cards.discard(card_id)
 
     async def call_platform_api(self, action: str, params: dict = {}) -> dict:
+        if action == 'interaction.request':
+            return await send_interaction(self, params)
+        if action == 'interaction.acknowledge':
+            return await acknowledge_interaction(self, params)
         handler = PLATFORM_API_MAP.get(action)
         if handler is None:
             raise NotSupportedError(f'call_platform_api:{action}')
@@ -493,6 +590,10 @@ class LarkAdapter(LarkAPIMixin, abstract_platform_adapter.AbstractPlatformAdapte
                 await self._dispatch_eba_event(LarkEventConverter.bot_invited_to_group(data, chat_id))
                 return {'code': 200, 'message': 'ok'}
             if event_type == 'card.action.trigger':
+                interaction_event = interaction_event_from_webhook(data)
+                if interaction_event is not None:
+                    await self._dispatch_eba_event(interaction_event)
+                    return self._interaction_action_response(interaction_event)
                 feedback_event = self._feedback_event_from_webhook(data)
                 if feedback_event and platform_events.FeedbackEvent in self.listeners:
                     await self.listeners[platform_events.FeedbackEvent](feedback_event, self)
@@ -571,6 +672,12 @@ class LarkAdapter(LarkAPIMixin, abstract_platform_adapter.AbstractPlatformAdapte
             self._group_cache[str(event.group.id)] = event.group
 
     def _handle_card_action_sync(self, event):
+        interaction_event = interaction_event_from_callback(event)
+        if interaction_event is not None:
+            self._submit_coro(self._dispatch_eba_event(interaction_event))
+            from lark_oapi.event.callback.model.p2_card_action_trigger import P2CardActionTriggerResponse
+
+            return P2CardActionTriggerResponse(self._interaction_action_response(interaction_event))
         feedback_event = self._feedback_event_from_callback(event)
         if feedback_event and platform_events.FeedbackEvent in self.listeners:
             self._submit_coro(self.listeners[platform_events.FeedbackEvent](feedback_event, self))
@@ -578,6 +685,26 @@ class LarkAdapter(LarkAPIMixin, abstract_platform_adapter.AbstractPlatformAdapte
 
         return P2CardActionTriggerResponse({'toast': {'type': 'success', 'content': '感谢您的反馈'}})
 
+    @staticmethod
+    def _interaction_action_response(event: platform_events.PlatformSpecificEvent) -> dict[str, typing.Any]:
+        response: dict[str, typing.Any] = {
+            'toast': {'type': 'success', 'content': 'Submitted / 已提交'},
+        }
+        if not event.data.get('cardkit'):
+            response['card'] = {
+                'type': 'raw',
+                'data': {
+                    'config': {'wide_screen_mode': True},
+                    'elements': [
+                        {
+                            'tag': 'div',
+                            'text': {'tag': 'lark_md', 'content': '**Submitted / 已提交**'},
+                        }
+                    ],
+                },
+            }
+        return response
+
     def _submit_coro(self, coro):
         try:
             loop = asyncio.get_running_loop()
@@ -681,4 +808,13 @@ class LarkAdapter(LarkAPIMixin, abstract_platform_adapter.AbstractPlatformAdapte
         message_id = getattr(message, 'message_id', None)
         if message_id:
             return str(message_id)
+        context = getattr(source_event, 'context', None) if source_event else None
+        message_id = getattr(context, 'open_message_id', None)
+        if message_id:
+            return str(message_id)
+        if isinstance(source, dict):
+            source_event_data = source.get('event') if isinstance(source.get('event'), dict) else source
+            context_data = source_event_data.get('context') if isinstance(source_event_data, dict) else None
+            if isinstance(context_data, dict) and context_data.get('open_message_id'):
+                return str(context_data['open_message_id'])
         raise RuntimeError('Lark message source does not contain message_id')

src/langbot/pkg/platform/adapters/lark/interaction.py

@@ -0,0 +1,568 @@
+"""Lark card rendering and callback conversion for structured interactions."""
+
+from __future__ import annotations
+
+import json
+import time
+import typing
+import uuid
+
+from lark_oapi.api.cardkit.v1 import (
+    Card,
+    CreateCardRequest,
+    CreateCardRequestBody,
+    CreateCardResponse,
+    UpdateCardRequest,
+    UpdateCardRequestBody,
+    UpdateCardResponse,
+)
+from lark_oapi.api.im.v1 import (
+    CreateMessageRequest,
+    CreateMessageRequestBody,
+    CreateMessageResponse,
+)
+
+from langbot_plugin.api.entities.builtin.platform import events as platform_events
+
+
+def interaction_delivery_capabilities() -> dict[str, typing.Any]:
+    return {
+        'field_types': ['text', 'textarea', 'number', 'select'],
+        'action_styles': ['default', 'primary', 'danger'],
+        'supports_updates': True,
+        'max_fields': 1,
+    }
+
+
+def _callback_value(
+    callback_token: str,
+    reply_target: dict[str, typing.Any],
+    **refs: typing.Any,
+) -> dict[str, typing.Any]:
+    return {
+        'lbi': callback_token,
+        't': str(reply_target.get('target_type') or ''),
+        'ck': 1,
+        **refs,
+    }
+
+
+def _field_form_elements(
+    field: dict[str, typing.Any],
+    callback_token: str,
+    reply_target: dict[str, typing.Any],
+) -> list[dict[str, typing.Any]] | None:
+    field_type = str(field.get('type') or '')
+    if field_type not in {'text', 'textarea', 'number', 'select'}:
+        return None
+    field_id = str(field.get('id') or '')
+    if not field_id:
+        return None
+    component_name = 'lbi_field_0'
+    label = str(field.get('label') or field_id)
+    placeholder = str(
+        field.get('placeholder')
+        or ('Select an option / 请选择' if field_type == 'select' else 'Enter a value / 请输入')
+    )
+    required = bool(field.get('required'))
+    if field_type == 'select':
+        raw_options = field.get('options') if isinstance(field.get('options'), list) else []
+        options = [
+            {
+                'text': {
+                    'tag': 'plain_text',
+                    'content': str(option.get('label') or option.get('value') or ''),
+                },
+                'value': str(option.get('value') or ''),
+            }
+            for option in raw_options
+            if isinstance(option, dict) and option.get('value') not in (None, '')
+        ]
+        if not options:
+            return None
+        field_element: dict[str, typing.Any] = {
+            'tag': 'select_static',
+            'name': component_name,
+            'label': {'tag': 'plain_text', 'content': label},
+            'placeholder': {'tag': 'plain_text', 'content': placeholder},
+            'options': options,
+            'width': 'fill',
+            'required': required,
+        }
+        default = field.get('default')
+        if default not in (None, ''):
+            field_element['initial_option'] = str(default)
+    else:
+        default = field.get('default')
+        field_element = {
+            'tag': 'input',
+            'name': component_name,
+            'label': {'tag': 'plain_text', 'content': label},
+            'placeholder': {'tag': 'plain_text', 'content': placeholder},
+            'default_value': '' if default is None else str(default),
+            'width': 'fill',
+            'required': required,
+        }
+        if field_type == 'textarea':
+            field_element.update(
+                {
+                    'input_type': 'multiline_text',
+                    'rows': 3,
+                    'auto_resize': True,
+                    'max_rows': 6,
+                }
+            )
+
+    submit_value = _callback_value(
+        callback_token,
+        reply_target,
+        fm={component_name: field_id},
+        ft={field_id: field_type},
+    )
+    submit_button = {
+        'tag': 'button',
+        'name': 'lbi_submit',
+        'text': {'tag': 'plain_text', 'content': 'Submit / 提交'},
+        'type': 'primary',
+        'width': 'fill',
+        'form_action_type': 'submit',
+        'behaviors': [{'type': 'callback', 'value': submit_value}],
+    }
+    form_elements: list[dict[str, typing.Any]] = [field_element, submit_button]
+    if field_type == 'select':
+        form_elements.insert(
+            0,
+            {
+                'tag': 'markdown',
+                'content': f'**{label}{"*" if required else ""}**',
+            },
+        )
+    return [
+        {
+            'tag': 'form',
+            'name': 'lbi_form',
+            'direction': 'vertical',
+            'vertical_spacing': '12px',
+            'elements': form_elements,
+        }
+    ]
+
+
+def _render_submitted_value(value: typing.Any) -> str:
+    rendered = json.dumps(value, ensure_ascii=False) if isinstance(value, (dict, list)) else str(value)
+    rendered = rendered.strip().replace('\n', '\n  ')
+    return rendered if len(rendered) <= 2000 else rendered[:1997] + '...'
+
+
+def _submission_display_values(
+    request: dict[str, typing.Any],
+    submission: dict[str, typing.Any],
+) -> list[dict[str, str]]:
+    display_values: list[dict[str, str]] = []
+    values = submission.get('values') if isinstance(submission.get('values'), dict) else {}
+    fields = request.get('fields') if isinstance(request.get('fields'), list) else []
+    for field in fields:
+        if not isinstance(field, dict):
+            continue
+        field_id = str(field.get('id') or '')
+        if field_id and field_id in values:
+            display_value = {
+                'label': str(field.get('label') or field_id),
+                'value': _render_submitted_value(values[field_id]),
+            }
+            description = str(request.get('description') or '').strip()
+            if description:
+                display_value['description'] = description
+            display_values.append(display_value)
+
+    action_id = submission.get('action_id')
+    if action_id:
+        actions = request.get('actions') if isinstance(request.get('actions'), list) else []
+        action_label = next(
+            (
+                str(action.get('label') or action_id)
+                for action in actions
+                if isinstance(action, dict) and str(action.get('id') or '') == str(action_id)
+            ),
+            str(action_id),
+        )
+        display_values.append({'label': 'Action', 'value': action_label})
+    return display_values
+
+
+def _stored_submitted_values(value: typing.Any) -> list[dict[str, str]]:
+    if not isinstance(value, list):
+        return []
+    stored_values = [
+        {
+            'label': str(item['label'])[:200],
+            'value': str(item['value'])[:2000],
+            **({'description': str(item['description'])[:4000]} if item.get('description') is not None else {}),
+        }
+        for item in value[:50]
+        if isinstance(item, dict) and item.get('label') is not None and item.get('value') is not None
+    ]
+    return stored_values
+
+
+def _submitted_value_elements(values: list[dict[str, str]]) -> list[dict[str, typing.Any]]:
+    elements: list[dict[str, typing.Any]] = []
+    for item in values:
+        lines = []
+        description = str(item.get('description') or '').strip()
+        if description:
+            lines.append(description)
+        lines.append(f'✅ {item["label"]}：{item["value"]}')
+        elements.append({'tag': 'markdown', 'content': '\n'.join(lines)})
+    return elements
+
+
+def build_interaction_card(
+    request: dict[str, typing.Any],
+    callback_token: str,
+    reply_target: dict[str, typing.Any],
+    submitted_values: list[dict[str, str]] | None = None,
+) -> dict[str, typing.Any] | None:
+    """Build the Lark subset that maps to a single atomic submission."""
+    fields = request.get('fields') if isinstance(request.get('fields'), list) else []
+    actions = request.get('actions') if isinstance(request.get('actions'), list) else []
+    buttons: list[dict[str, typing.Any]] = []
+    field_elements: list[dict[str, typing.Any]] | None = None
+
+    if actions and not fields:
+        for index, action in enumerate(actions):
+            if not isinstance(action, dict):
+                continue
+            style = str(action.get('style') or 'default')
+            buttons.append(
+                {
+                    'tag': 'button',
+                    'text': {
+                        'tag': 'plain_text',
+                        'content': str(action.get('label') or action.get('id') or index + 1),
+                    },
+                    'type': 'primary' if style == 'primary' else 'danger' if style == 'danger' else 'default',
+                    'behaviors': [
+                        {
+                            'type': 'callback',
+                            'value': _callback_value(callback_token, reply_target, a=index),
+                        }
+                    ],
+                }
+            )
+    elif len(fields) == 1 and not actions and isinstance(fields[0], dict):
+        field = fields[0]
+        field_elements = _field_form_elements(field, callback_token, reply_target)
+        if field_elements is None:
+            return None
+    else:
+        return None
+
+    if not buttons and not field_elements:
+        return None
+    elements: list[dict[str, typing.Any]] = []
+    elements.extend(_submitted_value_elements(submitted_values or []))
+    description = str(request.get('description') or '').strip()
+    if description:
+        elements.append({'tag': 'markdown', 'content': description})
+    if field_elements:
+        elements.extend(field_elements)
+    else:
+        elements.append(
+            {
+                'tag': 'column_set',
+                'horizontal_spacing': '8px',
+                'columns': [
+                    {
+                        'tag': 'column',
+                        'width': 'weighted',
+                        'weight': 1,
+                        'elements': [button],
+                    }
+                    for button in buttons
+                ],
+            }
+        )
+    return {
+        'schema': '2.0',
+        'config': {'update_multi': True},
+        'header': {
+            'title': {'tag': 'plain_text', 'content': str(request.get('title') or '')},
+        },
+        'body': {'direction': 'vertical', 'elements': elements},
+    }
+
+
+def build_submitted_card(
+    request: dict[str, typing.Any],
+    submission: dict[str, typing.Any],
+    submitted_values: list[dict[str, str]] | None = None,
+) -> dict[str, typing.Any]:
+    """Render a read-only snapshot after a user submits an interaction."""
+    elements: list[dict[str, typing.Any]] = []
+    all_submitted_values = [
+        *(submitted_values or []),
+        *_submission_display_values(request, submission),
+    ]
+    elements.extend(_submitted_value_elements(all_submitted_values))
+    return {
+        'schema': '2.0',
+        'config': {'update_multi': True},
+        'header': {'title': {'tag': 'plain_text', 'content': str(request.get('title') or '')}},
+        'body': {'direction': 'vertical', 'elements': elements},
+    }
+
+
+async def _update_interaction_card(
+    adapter: typing.Any,
+    update_target: dict[str, typing.Any],
+    card: dict[str, typing.Any],
+    submitted_values: list[dict[str, str]] | None = None,
+) -> dict[str, typing.Any]:
+    message_id = str(update_target.get('message_id') or '')
+    card_id = str(update_target.get('card_id') or '')
+    if not message_id or not card_id or update_target.get('rich') is not True:
+        raise ValueError('Lark interaction update requires a CardKit target')
+    persisted_sequence = int(update_target.get('sequence') or 0)
+    current_sequence = int(adapter.card_sequence_dict.get(card_id, persisted_sequence))
+    sequence = max(persisted_sequence, current_sequence) + 1
+    request = (
+        UpdateCardRequest.builder()
+        .card_id(card_id)
+        .request_body(
+            UpdateCardRequestBody.builder()
+            .sequence(sequence)
+            .uuid(str(uuid.uuid4()))
+            .card(Card.builder().type('card_json').data(json.dumps(card, ensure_ascii=False)).build())
+            .build()
+        )
+        .build()
+    )
+    response: UpdateCardResponse = await adapter.api_client.cardkit.v1.card.aupdate(request)
+    if not response.success():
+        raise RuntimeError(f'Lark CardKit interaction update failed: {response.code} {response.msg}')
+    adapter.card_sequence_dict[card_id] = sequence
+    result = {
+        'ok': True,
+        'message_id': message_id,
+        'card_id': card_id,
+        'sequence': sequence,
+        'rich': True,
+        'updated': True,
+    }
+    if submitted_values:
+        result['submitted_values'] = submitted_values
+    return result
+
+
+async def send_interaction(adapter: typing.Any, params: dict[str, typing.Any]) -> dict[str, typing.Any]:
+    request = params.get('request')
+    reply_target = params.get('reply_target')
+    callback_token = str(params.get('callback_token') or '')
+    if not isinstance(request, dict) or not isinstance(reply_target, dict) or not callback_token:
+        raise ValueError('interaction.request requires request, reply_target, and callback_token')
+
+    update_target = params.get('update_target')
+    submitted_values = _stored_submitted_values(
+        update_target.get('submitted_values') if isinstance(update_target, dict) else None
+    )
+    card = build_interaction_card(request, callback_token, reply_target, submitted_values)
+    if card is None:
+        fallback = str(request.get('fallback_text') or '')
+        result = await adapter.send_message(
+            str(reply_target.get('target_type') or ''),
+            str(reply_target.get('target_id') or ''),
+            adapter._plain_message(fallback),
+        )
+        return {'ok': True, 'message_id': result.message_id, 'rich': False}
+
+    if isinstance(update_target, dict):
+        return await _update_interaction_card(adapter, update_target, card, submitted_values)
+
+    target_type = str(reply_target.get('target_type') or '')
+    target_id = str(reply_target.get('target_id') or '')
+    if target_type not in {'group', 'person'} or not target_id:
+        raise ValueError('interaction.request has an invalid reply target')
+    card_request = (
+        CreateCardRequest.builder()
+        .request_body(
+            CreateCardRequestBody.builder().type('card_json').data(json.dumps(card, ensure_ascii=False)).build()
+        )
+        .build()
+    )
+    card_response: CreateCardResponse = await adapter.api_client.cardkit.v1.card.acreate(card_request)
+    if not card_response.success():
+        raise RuntimeError(f'Lark CardKit interaction create failed: {card_response.code} {card_response.msg}')
+    card_id = str(getattr(card_response.data, 'card_id', '') or '')
+    if not card_id:
+        raise RuntimeError('Lark CardKit interaction create returned no card_id')
+
+    message_request = (
+        CreateMessageRequest.builder()
+        .receive_id_type('chat_id' if target_type == 'group' else 'open_id')
+        .request_body(
+            CreateMessageRequestBody.builder()
+            .receive_id(target_id)
+            .content(json.dumps({'type': 'card', 'data': {'card_id': card_id}}, ensure_ascii=False))
+            .msg_type('interactive')
+            .uuid(str(uuid.uuid4()))
+            .build()
+        )
+        .build()
+    )
+    response: CreateMessageResponse = await adapter.api_client.im.v1.message.acreate(message_request)
+    if not response.success():
+        raise RuntimeError(f'Lark interaction send failed: {response.code} {response.msg}')
+    adapter.card_sequence_dict[card_id] = 0
+    return {
+        'ok': True,
+        'message_id': getattr(response.data, 'message_id', ''),
+        'card_id': card_id,
+        'sequence': 0,
+        'rich': True,
+    }
+
+
+async def acknowledge_interaction(adapter: typing.Any, params: dict[str, typing.Any]) -> dict[str, typing.Any]:
+    request = params.get('request')
+    submission = params.get('submission')
+    update_target = params.get('update_target')
+    if not isinstance(request, dict) or not isinstance(submission, dict) or not isinstance(update_target, dict):
+        raise ValueError('interaction.acknowledge requires request, submission, and update_target')
+    submitted_values = [
+        *_stored_submitted_values(update_target.get('submitted_values')),
+        *_submission_display_values(request, submission),
+    ]
+    return await _update_interaction_card(
+        adapter,
+        update_target,
+        build_submitted_card(request, submission, _stored_submitted_values(update_target.get('submitted_values'))),
+        submitted_values,
+    )
+
+
+def _mapping(value: typing.Any) -> dict[str, typing.Any]:
+    if isinstance(value, dict):
+        return value
+    if isinstance(value, str):
+        try:
+            parsed = json.loads(value)
+        except json.JSONDecodeError:
+            return {}
+        return parsed if isinstance(parsed, dict) else {}
+    return {}
+
+
+def _action_attr(action: typing.Any, name: str) -> typing.Any:
+    return action.get(name) if isinstance(action, dict) else getattr(action, name, None)
+
+
+def _coerce_field_value(value: typing.Any, field_type: str) -> typing.Any:
+    if isinstance(value, dict):
+        value = value.get('value') if value.get('value') is not None else value.get('option')
+    if field_type != 'number' or isinstance(value, (int, float)) and not isinstance(value, bool):
+        return value
+    text = str(value).strip()
+    try:
+        return int(text)
+    except ValueError:
+        try:
+            return float(text)
+        except ValueError:
+            return value
+
+
+def _form_submission_values(action: typing.Any, payload: dict[str, typing.Any]) -> dict[str, typing.Any]:
+    field_map = payload.get('fm') if isinstance(payload.get('fm'), dict) else {}
+    field_types = payload.get('ft') if isinstance(payload.get('ft'), dict) else {}
+    if not field_map:
+        return {}
+    form_value = _mapping(_action_attr(action, 'form_value'))
+    if not form_value:
+        for key in ('form_value', 'formValue', 'form_values', 'formValues'):
+            form_value = _mapping(payload.get(key))
+            if form_value:
+                break
+    if not form_value:
+        action_name = _action_attr(action, 'name')
+        input_value = _action_attr(action, 'input_value')
+        option_value = _action_attr(action, 'option')
+        if action_name and input_value not in (None, ''):
+            form_value = {str(action_name): input_value}
+        elif action_name and option_value not in (None, ''):
+            form_value = {str(action_name): option_value}
+    values: dict[str, typing.Any] = {}
+    for component_name, value in form_value.items():
+        field_id = field_map.get(component_name)
+        if field_id and value not in (None, ''):
+            values[str(field_id)] = _coerce_field_value(value, str(field_types.get(str(field_id)) or ''))
+    return values
+
+
+def _event_from_parts(
+    *,
+    raw: typing.Any,
+    action: typing.Any,
+    actor_id: typing.Any,
+    chat_id: typing.Any,
+    message_id: typing.Any,
+) -> platform_events.PlatformSpecificEvent | None:
+    payload = _mapping(_action_attr(action, 'value'))
+    callback_token = str(payload.get('lbi') or '')
+    if not callback_token:
+        return None
+    target_type = str(payload.get('t') or '')
+    target_id = str(chat_id or '') if target_type == 'group' else str(actor_id or '')
+    data: dict[str, typing.Any] = {
+        'callback_token': callback_token,
+        'actor_id': str(actor_id or ''),
+        'target_type': target_type,
+        'target_id': target_id,
+        'display_text': 'submitted',
+    }
+    if payload.get('ck') == 1:
+        data['cardkit'] = True
+    if message_id:
+        data['message_id'] = str(message_id)
+    if payload.get('a') is not None:
+        data['action_ref'] = payload['a']
+    if payload.get('f') is not None or payload.get('o') is not None:
+        data['field_ref'] = payload.get('f')
+        data['option_ref'] = payload.get('o')
+    if payload.get('fm'):
+        data['values'] = _form_submission_values(action, payload)
+    return platform_events.PlatformSpecificEvent(
+        type='platform.specific',
+        adapter_name='lark-eba',
+        action='interaction.submitted',
+        data=data,
+        timestamp=time.time(),
+        source_platform_object=raw,
+    )
+
+
+def interaction_event_from_callback(event: typing.Any) -> platform_events.PlatformSpecificEvent | None:
+    action = getattr(getattr(event, 'event', None), 'action', None)
+    operator = getattr(getattr(event, 'event', None), 'operator', None)
+    context = getattr(getattr(event, 'event', None), 'context', None)
+    return _event_from_parts(
+        raw=event,
+        action=action,
+        actor_id=getattr(operator, 'open_id', None) or getattr(operator, 'user_id', None),
+        chat_id=getattr(context, 'open_chat_id', None),
+        message_id=getattr(context, 'open_message_id', None),
+    )
+
+
+def interaction_event_from_webhook(data: dict[str, typing.Any]) -> platform_events.PlatformSpecificEvent | None:
+    event = data.get('event') if isinstance(data.get('event'), dict) else {}
+    action = event.get('action') if isinstance(event.get('action'), dict) else {}
+    operator = event.get('operator') if isinstance(event.get('operator'), dict) else {}
+    context = event.get('context') if isinstance(event.get('context'), dict) else {}
+    return _event_from_parts(
+        raw=data,
+        action=action,
+        actor_id=operator.get('open_id') or operator.get('user_id'),
+        chat_id=context.get('open_chat_id'),
+        message_id=context.get('open_message_id'),
+    )

src/langbot/pkg/platform/adapters/lark/manifest.yaml

@@ -164,6 +164,8 @@ spec:
       - get_user_info
       - get_file_url
       - call_platform_api
+      - interaction.request
+      - interaction.acknowledge
 
   platform_specific_apis:
     - action: check_tenant_access_token

src/langbot/pkg/platform/adapters/qqofficial/adapter.py

@@ -23,6 +23,11 @@ from langbot.pkg.platform.adapters.qqofficial.event_converter import (
 )
 from langbot.pkg.platform.adapters.qqofficial.message_converter import QQOfficialMessageConverter
 from langbot.pkg.platform.adapters.qqofficial.platform_api import PLATFORM_API_MAP
+from langbot.pkg.platform.adapters.qqofficial.interaction import (
+    interaction_delivery_capabilities,
+    interaction_event_from_payload,
+    send_interaction,
+)
 import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
 import langbot_plugin.api.definition.abstract.platform.event_logger as abstract_platform_logger
 from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
@@ -117,8 +122,16 @@ class QQOfficialAdapter(QQOfficialAPIMixin, abstract_platform_adapter.AbstractPl
             'get_group_member_list',
             'get_group_member_info',
             'call_platform_api',
+            'interaction.request',
         ]
 
+    def get_interaction_capabilities(self) -> dict[str, typing.Any]:
+        return interaction_delivery_capabilities()
+
+    @staticmethod
+    def _plain_message(text: str) -> platform_message.MessageChain:
+        return platform_message.MessageChain([platform_message.Plain(text=text)])
+
     async def send_message(
         self,
         target_type: str,
@@ -149,6 +162,8 @@ class QQOfficialAdapter(QQOfficialAPIMixin, abstract_platform_adapter.AbstractPl
         return platform_events.MessageResult(message_id=source.d_id or source.id, raw={'results': raw})
 
     async def call_platform_api(self, action: str, params: dict = {}) -> dict:
+        if action == 'interaction.request':
+            return await send_interaction(self, params)
         handler = PLATFORM_API_MAP.get(action)
         if handler is None:
             raise NotSupportedError(f'call_platform_api:{action}')
@@ -296,6 +311,15 @@ class QQOfficialAdapter(QQOfficialAPIMixin, abstract_platform_adapter.AbstractPl
         ):
             self.bot.on_message(event_type)(self._handle_native_event)
 
+        @self.bot.on_interaction()
+        async def on_interaction(event_data: dict, ws_event_id: str | None):
+            interaction_id = str(event_data.get('id') or '')
+            if interaction_id:
+                await self.bot.ack_interaction(interaction_id)
+            event = interaction_event_from_payload(event_data)
+            if event is not None:
+                await self._dispatch_eba_event(event)
+
     async def _handle_native_event(self, event: QQOfficialEvent):
         self.bot_account_id = self.config.get('appid', self.bot_account_id)
         try:

src/langbot/pkg/platform/adapters/qqofficial/interaction.py

@@ -0,0 +1,177 @@
+"""QQ Official keyboard rendering and interaction callback conversion."""
+
+from __future__ import annotations
+
+import time
+import typing
+
+from langbot_plugin.api.entities.builtin.platform import events as platform_events
+
+
+def interaction_delivery_capabilities() -> dict[str, typing.Any]:
+    return {
+        'field_types': ['select'],
+        'action_styles': ['default', 'primary', 'danger'],
+        'supports_updates': True,
+        'max_fields': 1,
+    }
+
+
+def _buttons(request: dict[str, typing.Any], callback_token: str) -> list[tuple[str, str, int]]:
+    fields = request.get('fields') if isinstance(request.get('fields'), list) else []
+    actions = request.get('actions') if isinstance(request.get('actions'), list) else []
+    if actions and not fields:
+        return [
+            (
+                str(action.get('label') or action.get('id') or index + 1),
+                f'lbi:{callback_token}:a:{index}',
+                1 if action.get('style') == 'primary' else 0,
+            )
+            for index, action in enumerate(actions[:25])
+            if isinstance(action, dict)
+        ]
+    if len(fields) == 1 and not actions and isinstance(fields[0], dict):
+        field = fields[0]
+        if field.get('type') != 'select':
+            return []
+        options = field.get('options') if isinstance(field.get('options'), list) else []
+        return [
+            (
+                str(option.get('label') or option.get('value') or index + 1),
+                f'lbi:{callback_token}:f:0:{index}',
+                0,
+            )
+            for index, option in enumerate(options[:25])
+            if isinstance(option, dict)
+        ]
+    return []
+
+
+def build_interaction_keyboard(request: dict[str, typing.Any], callback_token: str) -> dict[str, typing.Any] | None:
+    buttons = _buttons(request, callback_token)
+    if not buttons:
+        return None
+    rows = []
+    for start in range(0, len(buttons), 2):
+        rows.append(
+            {
+                'buttons': [
+                    {
+                        'id': str(start + offset + 1),
+                        'render_data': {
+                            'label': label,
+                            'visited_label': f'✓ {label}',
+                            'style': style,
+                        },
+                        'action': {
+                            'type': 1,
+                            'permission': {'type': 2},
+                            'data': callback_data,
+                            'unsupport_tips': 'Please update QQ to use this action.',
+                        },
+                    }
+                    for offset, (label, callback_data, style) in enumerate(buttons[start : start + 2])
+                ]
+            }
+        )
+    return {'content': {'rows': rows}}
+
+
+def _text(request: dict[str, typing.Any], rich: bool) -> str:
+    parts = [str(request.get('title') or '').strip()]
+    description = str(request.get('description') or '').strip()
+    if description:
+        parts.append(description)
+    if not rich:
+        fallback = str(request.get('fallback_text') or '').strip()
+        if fallback:
+            parts.append(fallback)
+    return '\n\n'.join(part for part in parts if part)
+
+
+async def send_interaction(adapter: typing.Any, params: dict[str, typing.Any]) -> dict[str, typing.Any]:
+    request = params.get('request')
+    reply_target = params.get('reply_target')
+    callback_token = str(params.get('callback_token') or '')
+    if not isinstance(request, dict) or not isinstance(reply_target, dict) or not callback_token:
+        raise ValueError('interaction.request requires request, reply_target, and callback_token')
+    target_type = str(reply_target.get('target_type') or '')
+    target_id = str(reply_target.get('target_id') or '')
+    keyboard = build_interaction_keyboard(request, callback_token)
+    if keyboard is None or target_type not in {'person', 'group'}:
+        result = await adapter.send_message(
+            target_type,
+            target_id,
+            adapter._plain_message(_text(request, False)),
+        )
+        return {'ok': True, 'message_id': result.message_id, 'rich': False}
+    raw = await adapter.bot.send_markdown_keyboard(
+        target_type='c2c' if target_type == 'person' else 'group',
+        target_id=target_id,
+        markdown_content=_text(request, True),
+        keyboard=keyboard,
+        msg_id=reply_target.get('message_id'),
+    )
+    return {'ok': True, 'message_id': raw.get('id') if isinstance(raw, dict) else None, 'rich': True}
+
+
+def parse_callback_data(value: str) -> dict[str, typing.Any]:
+    parts = value.split(':')
+    if len(parts) == 4 and parts[0] == 'lbi' and parts[1] and parts[2] == 'a' and parts[3].isdigit():
+        return {'callback_token': parts[1], 'action_ref': int(parts[3])}
+    if (
+        len(parts) == 5
+        and parts[0] == 'lbi'
+        and parts[1]
+        and parts[2] == 'f'
+        and parts[3].isdigit()
+        and parts[4].isdigit()
+    ):
+        return {
+            'callback_token': parts[1],
+            'field_ref': int(parts[3]),
+            'option_ref': int(parts[4]),
+        }
+    raise ValueError('invalid QQ interaction callback data')
+
+
+def interaction_event_from_payload(
+    event_data: dict[str, typing.Any],
+) -> platform_events.PlatformSpecificEvent | None:
+    resolved = (event_data.get('data') or {}).get('resolved') or {}
+    callback_data = str(resolved.get('button_data') or '')
+    if not callback_data.startswith('lbi:'):
+        return None
+    parsed = parse_callback_data(callback_data)
+    chat_type = event_data.get('chat_type')
+    if chat_type == 2 or event_data.get('user_openid'):
+        target_type = 'person'
+        target_id = str(event_data.get('user_openid') or '')
+    elif chat_type == 1 or event_data.get('group_openid'):
+        target_type = 'group'
+        target_id = str(event_data.get('group_openid') or '')
+    elif chat_type == 0 or event_data.get('channel_id'):
+        target_type = 'group'
+        target_id = str(event_data.get('channel_id') or '')
+    else:
+        raise ValueError('QQ interaction callback has no target')
+    actor_id = str(
+        event_data.get('member_openid')
+        or event_data.get('user_openid')
+        or ((event_data.get('member') or {}).get('user') or {}).get('id')
+        or ''
+    )
+    return platform_events.PlatformSpecificEvent(
+        type='platform.specific',
+        adapter_name='qqofficial-eba',
+        action='interaction.submitted',
+        data={
+            **parsed,
+            'actor_id': actor_id,
+            'target_type': target_type,
+            'target_id': target_id,
+            'display_text': 'submitted',
+        },
+        timestamp=time.time(),
+        source_platform_object=event_data,
+    )

src/langbot/pkg/platform/adapters/qqofficial/manifest.yaml

@@ -107,6 +107,7 @@ spec:
       - get_group_member_list
       - get_group_member_info
       - call_platform_api
+      - interaction.request
 
   platform_specific_apis:
     - action: check_access_token

src/langbot/pkg/platform/adapters/telegram/adapter.py

@@ -34,6 +34,12 @@ from langbot.pkg.platform.adapters.telegram.message_converter import TelegramMes
 from langbot.pkg.platform.adapters.telegram.event_converter import TelegramEventConverter, LegacyEventConverter
 from langbot.pkg.platform.adapters.telegram.api_impl import TelegramAPIMixin
 from langbot.pkg.platform.adapters.telegram.platform_api import PLATFORM_API_MAP
+from langbot.pkg.platform.adapters.telegram.interaction import (
+    interaction_delivery_capabilities,
+    interaction_event_from_update,
+    parse_interaction_callback,
+    send_interaction,
+)
 
 
 class TelegramAdapter(TelegramAPIMixin, abstract_platform_adapter.AbstractPlatformAdapter):
@@ -79,6 +85,23 @@ class TelegramAdapter(TelegramAPIMixin, abstract_platform_adapter.AbstractPlatfo
                 return
 
             try:
+                if update.callback_query:
+                    try:
+                        interaction_callback = parse_interaction_callback(update.callback_query.data)
+                    except ValueError:
+                        await update.callback_query.answer(text='Invalid or expired action', show_alert=True)
+                        await self.logger.warning('Rejected malformed Telegram interaction callback')
+                        return
+                    if interaction_callback is not None:
+                        await update.callback_query.answer()
+                        event = interaction_event_from_update(update, interaction_callback)
+                        await self._dispatch_eba_event(event)
+                        try:
+                            await update.callback_query.edit_message_reply_markup(reply_markup=None)
+                        except Exception:
+                            await self.logger.warning('Failed to clear Telegram interaction buttons')
+                        return
+
                 # Legacy event type callbacks (compat with existing botmgr FriendMessage / GroupMessage listeners)
                 if update.message and (
                     platform_events.FriendMessage in self.listeners or platform_events.GroupMessage in self.listeners
@@ -176,8 +199,12 @@ class TelegramAdapter(TelegramAPIMixin, abstract_platform_adapter.AbstractPlatfo
             'kick_member',
             'leave_group',
             'call_platform_api',
+            'interaction.request',
         ]
 
+    def get_interaction_capabilities(self) -> dict[str, typing.Any]:
+        return interaction_delivery_capabilities()
+
     # ---- Message Send / Reply (preserving original logic) ----
 
     async def send_message(self, target_type: str, target_id: str, message: platform_message.MessageChain):
@@ -410,6 +437,8 @@ class TelegramAdapter(TelegramAPIMixin, abstract_platform_adapter.AbstractPlatfo
         params: dict = {},
     ) -> dict:
         """Call a Telegram-specific platform API."""
+        if action == 'interaction.request':
+            return await send_interaction(self.bot, params)
         handler = PLATFORM_API_MAP.get(action)
         if handler is None:
             from langbot_plugin.api.entities.builtin.platform.errors import NotSupportedError

src/langbot/pkg/platform/adapters/telegram/event_converter.py

@@ -406,10 +406,11 @@ class LegacyEventConverter(abstract_platform_adapter.AbstractEventConverter):
                 source_platform_object=event,
             )
         else:
+            sender = event.message.from_user
             return legacy_events.GroupMessage(
                 sender=legacy_entities.GroupMember(
-                    id=event.effective_chat.id,
-                    member_name=event.effective_chat.title,
+                    id=sender.id if sender else '',
+                    member_name=sender.first_name if sender else '',
                     permission=legacy_entities.Permission.Member,
                     group=legacy_entities.Group(
                         id=event.effective_chat.id,

src/langbot/pkg/platform/adapters/telegram/interaction.py

@@ -0,0 +1,163 @@
+"""Telegram rendering and callback conversion for structured interactions."""
+
+from __future__ import annotations
+
+import time
+import typing
+
+import telegram
+
+import langbot_plugin.api.entities.builtin.platform.events as platform_events
+
+
+INTERACTION_CALLBACK_PREFIX = 'lbi'
+
+
+def parse_interaction_callback(data: str | None) -> dict[str, typing.Any] | None:
+    """Parse a compact interaction callback without trusting platform values."""
+    if not data or not data.startswith(f'{INTERACTION_CALLBACK_PREFIX}:'):
+        return None
+    parts = data.split(':')
+    if len(parts) == 4 and parts[2] == 'a':
+        token, action_ref = parts[1], parts[3]
+        if token and action_ref.isdigit():
+            return {'callback_token': token, 'action_ref': int(action_ref)}
+    if len(parts) == 5 and parts[2] == 'f':
+        token, field_ref, option_ref = parts[1], parts[3], parts[4]
+        if token and field_ref.isdigit() and option_ref.isdigit():
+            return {
+                'callback_token': token,
+                'field_ref': int(field_ref),
+                'option_ref': int(option_ref),
+            }
+    raise ValueError('invalid Telegram interaction callback data')
+
+
+def interaction_delivery_capabilities() -> dict[str, typing.Any]:
+    """Return the structured interaction subset Telegram can render natively."""
+    return {
+        'field_types': ['select'],
+        'action_styles': ['default', 'primary', 'danger'],
+        'supports_updates': True,
+        'max_fields': 1,
+    }
+
+
+def _callback_data(callback_token: str, *parts: str | int) -> str:
+    value = ':'.join((INTERACTION_CALLBACK_PREFIX, callback_token, *(str(part) for part in parts)))
+    if len(value.encode('utf-8')) > 64:
+        raise ValueError('Telegram interaction callback exceeds 64 bytes')
+    return value
+
+
+def _build_keyboard(request: dict[str, typing.Any], callback_token: str) -> telegram.InlineKeyboardMarkup | None:
+    fields = request.get('fields') if isinstance(request.get('fields'), list) else []
+    actions = request.get('actions') if isinstance(request.get('actions'), list) else []
+
+    if actions and not fields:
+        rows = [
+            [
+                telegram.InlineKeyboardButton(
+                    str(action.get('label') or action.get('id') or index + 1),
+                    callback_data=_callback_data(callback_token, 'a', index),
+                )
+            ]
+            for index, action in enumerate(actions)
+            if isinstance(action, dict)
+        ]
+        return telegram.InlineKeyboardMarkup(rows) if rows else None
+
+    if len(fields) == 1 and not actions:
+        field = fields[0]
+        if not isinstance(field, dict) or field.get('type') != 'select':
+            return None
+        options = field.get('options') if isinstance(field.get('options'), list) else []
+        rows = [
+            [
+                telegram.InlineKeyboardButton(
+                    str(option.get('label') or option.get('value') or option_index + 1),
+                    callback_data=_callback_data(callback_token, 'f', 0, option_index),
+                )
+            ]
+            for option_index, option in enumerate(options)
+            if isinstance(option, dict)
+        ]
+        return telegram.InlineKeyboardMarkup(rows) if rows else None
+
+    return None
+
+
+def _message_text(request: dict[str, typing.Any], *, rich: bool) -> str:
+    parts = [str(request.get('title') or '').strip()]
+    description = str(request.get('description') or '').strip()
+    if description:
+        parts.append(description)
+    fields = request.get('fields') if isinstance(request.get('fields'), list) else []
+    if rich and len(fields) == 1 and isinstance(fields[0], dict):
+        label = str(fields[0].get('label') or '').strip()
+        if label:
+            parts.append(label)
+    if not rich:
+        fallback = str(request.get('fallback_text') or '').strip()
+        if fallback:
+            parts.append(fallback)
+    return '\n\n'.join(part for part in parts if part)
+
+
+async def send_interaction(bot: telegram.Bot, params: dict[str, typing.Any]) -> dict[str, typing.Any]:
+    """Render a supported interaction or its required plain-text fallback."""
+    request = params.get('request')
+    reply_target = params.get('reply_target')
+    callback_token = str(params.get('callback_token') or '')
+    if not isinstance(request, dict) or not isinstance(reply_target, dict) or not callback_token:
+        raise ValueError('interaction.request requires request, reply_target, and callback_token')
+
+    target_id = str(reply_target.get('target_id') or '')
+    if not target_id:
+        raise ValueError('interaction.request has no target_id')
+    chat_id_text, _, thread_id_text = target_id.partition('#')
+    chat_id: int | str = int(chat_id_text) if chat_id_text.lstrip('-').isdigit() else chat_id_text
+    message_thread_id = int(thread_id_text) if thread_id_text.isdigit() else None
+    keyboard = _build_keyboard(request, callback_token)
+    send_args: dict[str, typing.Any] = {
+        'chat_id': chat_id,
+        'text': _message_text(request, rich=keyboard is not None),
+    }
+    if message_thread_id is not None:
+        send_args['message_thread_id'] = message_thread_id
+    if keyboard is not None:
+        send_args['reply_markup'] = keyboard
+
+    sent = await bot.send_message(**send_args)
+    return {'ok': True, 'message_id': getattr(sent, 'message_id', None), 'rich': keyboard is not None}
+
+
+def interaction_event_from_update(
+    update: telegram.Update,
+    parsed: dict[str, typing.Any],
+) -> platform_events.PlatformSpecificEvent:
+    """Convert a trusted callback shape into the Host interaction event."""
+    query = update.callback_query
+    if query is None or query.message is None or query.from_user is None:
+        raise ValueError('Telegram interaction callback has no message or actor')
+    message = query.message
+    target_type = 'person' if message.chat.type == 'private' else 'group'
+    target_id = str(message.chat.id)
+    if message.message_thread_id:
+        target_id = f'{target_id}#{message.message_thread_id}'
+
+    data = {
+        **parsed,
+        'actor_id': str(query.from_user.id),
+        'target_type': target_type,
+        'target_id': target_id,
+        'display_text': 'submitted',
+    }
+    return platform_events.PlatformSpecificEvent(
+        type='platform.specific',
+        timestamp=time.time(),
+        adapter_name='telegram',
+        action='interaction.submitted',
+        data=data,
+        source_platform_object=update,
+    )

src/langbot/pkg/platform/adapters/telegram/manifest.yaml

@@ -72,6 +72,7 @@ spec:
       - kick_member
       - leave_group
       - call_platform_api
+      - interaction.request
 
   platform_specific_apis:
     - action: pin_message

src/langbot/pkg/platform/adapters/wecombot/adapter.py

@@ -14,6 +14,11 @@ from langbot.pkg.platform.adapters.wecombot.api_impl import WecomBotAPIMixin
 from langbot.pkg.platform.adapters.wecombot.event_converter import WecomBotEventConverter
 from langbot.pkg.platform.adapters.wecombot.message_converter import WecomBotMessageConverter
 from langbot.pkg.platform.adapters.wecombot.platform_api import PLATFORM_API_MAP
+from langbot.pkg.platform.adapters.wecombot.interaction import (
+    interaction_delivery_capabilities,
+    interaction_event_from_native,
+    send_interaction,
+)
 import langbot_plugin.api.definition.abstract.platform.adapter as abstract_platform_adapter
 import langbot_plugin.api.definition.abstract.platform.event_logger as abstract_platform_logger
 from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
@@ -100,7 +105,7 @@ class WecomBotAdapter(WecomBotAPIMixin, abstract_platform_adapter.AbstractPlatfo
         ]
 
     def get_supported_apis(self) -> list[str]:
-        return [
+        apis = [
             'send_message',
             'reply_message',
             'get_message',
@@ -111,6 +116,16 @@ class WecomBotAdapter(WecomBotAPIMixin, abstract_platform_adapter.AbstractPlatfo
             'get_group_member_list',
             'call_platform_api',
         ]
+        if not self.config.get('enable-webhook', False) and hasattr(self.bot, 'send_template_card'):
+            apis.append('interaction.request')
+        return apis
+
+    def get_interaction_capabilities(self) -> dict[str, typing.Any]:
+        return interaction_delivery_capabilities()
+
+    @staticmethod
+    def _plain_message(text: str) -> platform_message.MessageChain:
+        return platform_message.MessageChain([platform_message.Plain(text=text)])
 
     async def send_message(
         self,
@@ -163,6 +178,8 @@ class WecomBotAdapter(WecomBotAPIMixin, abstract_platform_adapter.AbstractPlatfo
         return self.config.get('enable-stream-reply', True)
 
     async def call_platform_api(self, action: str, params: dict = {}) -> dict:
+        if action == 'interaction.request' and 'interaction.request' in self.get_supported_apis():
+            return await send_interaction(self, params)
         handler = PLATFORM_API_MAP.get(action)
         if handler is None:
             raise NotSupportedError(f'call_platform_api:{action}')
@@ -229,6 +246,15 @@ class WecomBotAdapter(WecomBotAPIMixin, abstract_platform_adapter.AbstractPlatfo
             self.bot.on_feedback()(self._handle_feedback)
         if hasattr(self.bot, 'on_message'):
             self.bot.on_message('event')(self._handle_native_event)
+            self.bot.on_message('template_card_event')(self._handle_interaction_event)
+
+    async def _handle_interaction_event(self, event: WecomBotEvent):
+        try:
+            interaction_event = interaction_event_from_native(event)
+            if interaction_event is not None:
+                await self._dispatch_eba_event(interaction_event)
+        except Exception:
+            await self.logger.error(f'Error in WeComBot interaction callback: {traceback.format_exc()}')
 
     async def _handle_native_event(self, event: WecomBotEvent):
         try:
@@ -277,6 +303,8 @@ class WecomBotAdapter(WecomBotAPIMixin, abstract_platform_adapter.AbstractPlatfo
 
     def _cleanup_stream_mapping(self):
         now = time.time()
-        expired = [key for key, (_, ts) in self._stream_to_monitoring_msg.items() if now - ts > self._STREAM_MAPPING_TTL]
+        expired = [
+            key for key, (_, ts) in self._stream_to_monitoring_msg.items() if now - ts > self._STREAM_MAPPING_TTL
+        ]
         for key in expired:
             del self._stream_to_monitoring_msg[key]

src/langbot/pkg/platform/adapters/wecombot/interaction.py

@@ -0,0 +1,168 @@
+"""WeCom template-card rendering and callbacks for structured interactions."""
+
+from __future__ import annotations
+
+import time
+import typing
+import uuid
+
+from langbot.libs.wecom_ai_bot_api.wecombotevent import WecomBotEvent
+from langbot_plugin.api.entities.builtin.platform import events as platform_events
+
+
+def interaction_delivery_capabilities() -> dict[str, typing.Any]:
+    return {
+        'field_types': ['select'],
+        'action_styles': ['default', 'primary', 'danger'],
+        'supports_updates': True,
+        'max_fields': 1,
+    }
+
+
+def _button_style(style: str) -> int:
+    if style == 'primary':
+        return 1
+    if style == 'danger':
+        return 2
+    return 0
+
+
+def build_interaction_card(request: dict[str, typing.Any], callback_token: str) -> dict[str, typing.Any] | None:
+    fields = request.get('fields') if isinstance(request.get('fields'), list) else []
+    actions = request.get('actions') if isinstance(request.get('actions'), list) else []
+    buttons: list[dict[str, typing.Any]] = []
+    if actions and not fields:
+        buttons = [
+            {
+                'text': str(action.get('label') or action.get('id') or index + 1),
+                'style': _button_style(str(action.get('style') or 'default')),
+                'key': f'lbi:{callback_token}:a:{index}',
+            }
+            for index, action in enumerate(actions[:6])
+            if isinstance(action, dict)
+        ]
+    elif len(fields) == 1 and not actions and isinstance(fields[0], dict):
+        field = fields[0]
+        if field.get('type') != 'select':
+            return None
+        options = field.get('options') if isinstance(field.get('options'), list) else []
+        buttons = [
+            {
+                'text': str(option.get('label') or option.get('value') or index + 1),
+                'style': 0,
+                'key': f'lbi:{callback_token}:f:0:{index}',
+            }
+            for index, option in enumerate(options[:6])
+            if isinstance(option, dict)
+        ]
+    if not buttons:
+        return None
+    description = str(request.get('description') or '').strip()
+    if len(fields) == 1 and isinstance(fields[0], dict):
+        label = str(fields[0].get('label') or '').strip()
+        description = '\n\n'.join(part for part in (description, label) if part)
+    return {
+        'msgtype': 'template_card',
+        'template_card': {
+            'card_type': 'button_interaction',
+            'main_title': {'title': str(request.get('title') or '')},
+            'sub_title_text': description,
+            'button_list': buttons,
+            'task_id': f'lbi-{uuid.uuid4().hex}',
+        },
+    }
+
+
+async def send_interaction(adapter: typing.Any, params: dict[str, typing.Any]) -> dict[str, typing.Any]:
+    request = params.get('request')
+    reply_target = params.get('reply_target')
+    callback_token = str(params.get('callback_token') or '')
+    if not isinstance(request, dict) or not isinstance(reply_target, dict) or not callback_token:
+        raise ValueError('interaction.request requires request, reply_target, and callback_token')
+    target_type = str(reply_target.get('target_type') or '')
+    target_id = str(reply_target.get('target_id') or '')
+    card = build_interaction_card(request, callback_token)
+    if card is None:
+        fallback = '\n\n'.join(
+            part
+            for part in (
+                str(request.get('title') or '').strip(),
+                str(request.get('description') or '').strip(),
+                str(request.get('fallback_text') or '').strip(),
+            )
+            if part
+        )
+        result = await adapter.send_message(target_type, target_id, adapter._plain_message(fallback))
+        return {'ok': True, 'message_id': result.message_id, 'rich': False}
+    raw = await adapter.bot.send_template_card(target_id, card)
+    return {'ok': True, 'message_id': None, 'rich': True, 'raw': raw}
+
+
+def _template_card_event(event: WecomBotEvent) -> dict[str, typing.Any]:
+    wrapper = event.get('event') or {}
+    if not isinstance(wrapper, dict):
+        return {}
+    for key in ('template_card_event', 'templateCardEvent', 'TemplateCardEvent'):
+        value = wrapper.get(key)
+        if isinstance(value, dict):
+            return value
+    return wrapper
+
+
+def _callback_key(payload: dict[str, typing.Any]) -> str:
+    value = payload.get('EventKey') or payload.get('event_key') or payload.get('eventKey') or payload.get('key') or ''
+    if value:
+        return str(value)
+    for button_name in ('button', 'Button', 'selected_button', 'selectedButton'):
+        button = payload.get(button_name)
+        if not isinstance(button, dict):
+            continue
+        value = button.get('key') or button.get('Key') or button.get('event_key') or button.get('EventKey') or ''
+        if value:
+            return str(value)
+    return ''
+
+
+def parse_callback_key(value: str) -> dict[str, typing.Any]:
+    parts = value.split(':')
+    if len(parts) == 4 and parts[0] == 'lbi' and parts[1] and parts[2] == 'a' and parts[3].isdigit():
+        return {'callback_token': parts[1], 'action_ref': int(parts[3])}
+    if (
+        len(parts) == 5
+        and parts[0] == 'lbi'
+        and parts[1]
+        and parts[2] == 'f'
+        and parts[3].isdigit()
+        and parts[4].isdigit()
+    ):
+        return {
+            'callback_token': parts[1],
+            'field_ref': int(parts[3]),
+            'option_ref': int(parts[4]),
+        }
+    raise ValueError('invalid WeCom interaction callback key')
+
+
+def interaction_event_from_native(
+    event: WecomBotEvent,
+) -> platform_events.PlatformSpecificEvent | None:
+    callback_key = _callback_key(_template_card_event(event))
+    if not callback_key.startswith('lbi:'):
+        return None
+    parsed = parse_callback_key(callback_key)
+    target_type = 'group' if event.type == 'group' or event.chatid else 'person'
+    target_id = str(event.chatid or event.userid or '')
+    return platform_events.PlatformSpecificEvent(
+        type='platform.specific',
+        adapter_name='wecombot-eba',
+        action='interaction.submitted',
+        data={
+            **parsed,
+            'actor_id': str(event.userid or ''),
+            'target_type': target_type,
+            'target_id': target_id,
+            'display_text': 'submitted',
+        },
+        timestamp=time.time(),
+        source_platform_object=event,
+    )

src/langbot/pkg/platform/adapters/wecombot/manifest.yaml

@@ -143,6 +143,7 @@ spec:
       - get_group_member_info
       - get_group_member_list
       - call_platform_api
+      - interaction.request
 
   platform_specific_apis:
     - action: is_websocket_mode

src/langbot/pkg/platform/botmgr.py

@@ -996,6 +996,27 @@ class RuntimeBot:
         elif getattr(event, 'session_id', None):
             conversation_id = str(getattr(event, 'session_id'))
 
+        delivery_data: dict[str, typing.Any] = {
+            'surface': 'platform',
+            'reply_target': {
+                'target_type': target_type,
+                'target_id': target_id,
+                'message_id': getattr(event, 'message_id', None),
+                **target_metadata,
+            },
+            'supports_streaming': False,
+            'supports_edit': 'edit_message' in supported_apis,
+            'supports_reaction': bool({'add_reaction', 'remove_reaction'} & set(supported_apis)),
+            'platform_capabilities': {
+                'adapter': adapter.__class__.__name__,
+                'event_type': event_type,
+                'supported_apis': supported_apis,
+            },
+        }
+        interaction_capabilities = self._get_adapter_interaction_capabilities(adapter, supported_apis)
+        if interaction_capabilities is not None:
+            delivery_data['interactions'] = interaction_capabilities
+
         return AgentEventEnvelope(
             event_id=f'platform:{self.bot_entity.uuid}:{event_id}',
             event_type=event_type,
@@ -1009,23 +1030,7 @@ class RuntimeBot:
             actor=self._infer_actor_context(event),
             subject=self._infer_subject_context(event),
             input=self._build_agent_input(event),
-            delivery=DeliveryContext(
-                surface='platform',
-                reply_target={
-                    'target_type': target_type,
-                    'target_id': target_id,
-                    'message_id': getattr(event, 'message_id', None),
-                    **target_metadata,
-                },
-                supports_streaming=False,
-                supports_edit='edit_message' in supported_apis,
-                supports_reaction=bool({'add_reaction', 'remove_reaction'} & set(supported_apis)),
-                platform_capabilities={
-                    'adapter': adapter.__class__.__name__,
-                    'event_type': event_type,
-                    'supported_apis': supported_apis,
-                },
-            ),
+            delivery=DeliveryContext.model_validate(delivery_data),
             raw_ref=RawEventRef(ref_id=str(event_id), storage_key=None),
             data=self._compact_event_data(event),
         )
@@ -1045,6 +1050,22 @@ class RuntimeBot:
             return []
         return list(dict.fromkeys(api_name for api_name in declared_apis if isinstance(api_name, str) and api_name))
 
+    @staticmethod
+    def _get_adapter_interaction_capabilities(
+        adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
+        supported_apis: list[str],
+    ) -> dict[str, typing.Any] | None:
+        if 'interactions' not in DeliveryContext.model_fields or 'interaction.request' not in supported_apis:
+            return None
+        get_capabilities = getattr(adapter, 'get_interaction_capabilities', None)
+        if not callable(get_capabilities):
+            return None
+        try:
+            capabilities = get_capabilities()
+        except Exception:
+            return None
+        return capabilities if isinstance(capabilities, dict) else None
+
     @staticmethod
     def _agent_product_to_binding(
         agent: dict[str, typing.Any],
@@ -1068,9 +1089,15 @@ class RuntimeBot:
             runner_config=runner_config,
             resource_policy=ResourcePolicyProjector.from_runner_config(runner_config),
             state_policy=StatePolicy(state_scopes=['conversation', 'actor', 'subject', 'runner']),
-            delivery_policy=DeliveryPolicy(enable_streaming=False, enable_reply=True),
+            delivery_policy=DeliveryPolicy(
+                enable_streaming=False,
+                enable_reply=True,
+                enable_interactions=True,
+            ),
             enabled=True,
             agent_id=agent.get('uuid'),
+            processor_type='agent',
+            processor_id=agent.get('uuid'),
         )
 
     @staticmethod
@@ -1137,6 +1164,10 @@ class RuntimeBot:
         event: platform_events.EBAEvent,
         adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
     ) -> None:
+        if isinstance(event, platform_events.PlatformSpecificEvent) and event.action == 'interaction.submitted':
+            await self._handle_interaction_submission(event, adapter)
+            return
+
         event.bot_uuid = self.bot_entity.uuid
         plugin_event = self._eba_event_to_plugin_event(event)
 
@@ -1303,7 +1334,11 @@ class RuntimeBot:
         envelope = self._eba_event_to_agent_envelope(event, adapter)
         outputs: list[provider_message.Message | provider_message.MessageChunk] = []
         try:
-            async for output in self.ap.agent_run_orchestrator.run(envelope, binding):
+            async for output in self.ap.agent_run_orchestrator.run(
+                envelope,
+                binding,
+                adapter_context={'_delivery_adapter': adapter},
+            ):
                 outputs.append(output)
         except Exception:
             return await self._record_event_route_trace(
@@ -1408,6 +1443,7 @@ class RuntimeBot:
         adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
         pipeline_uuid_override: str | None = None,
         routed_by_event_binding: bool = False,
+        variables: dict[str, typing.Any] | None = None,
     ) -> None:
         is_group_message = isinstance(event, platform_events.GroupMessage)
         launcher_kind = 'group' if is_group_message else 'person'
@@ -1475,8 +1511,197 @@ class RuntimeBot:
             adapter=adapter,
             pipeline_uuid=pipeline_uuid,
             routed_by_rule=routed_by_rule,
+            variables=variables,
         )
 
+    async def _handle_interaction_submission(
+        self,
+        event: platform_events.PlatformSpecificEvent,
+        adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
+    ) -> None:
+        """Consume a platform interaction callback and resume its original processor."""
+        data = event.data if isinstance(event.data, dict) else {}
+        callback_token = str(data.get('callback_token') or '')
+        actor_id = str(data.get('actor_id') or data.get('user_id') or '') or None
+        target_type = str(data.get('target_type') or '') or None
+        target_id = str(data.get('target_id') or data.get('chat_id') or '') or None
+        conversation_id = f'{target_type}_{target_id}' if target_type and target_id else None
+        submission = {
+            'interaction_id': data.get('interaction_id'),
+            'action_id': data.get('action_id'),
+            'values': data.get('values') if isinstance(data.get('values'), dict) else {},
+            'submitted_at': int(event.timestamp) if event.timestamp else None,
+        }
+        for ref_name in ('action_ref', 'field_ref', 'option_ref'):
+            if data.get(ref_name) is not None:
+                submission[ref_name] = data[ref_name]
+
+        record = await self.ap.agent_run_orchestrator.interaction_manager.consume_callback(
+            callback_token=callback_token,
+            submission=submission,
+            bot_id=self.bot_entity.uuid,
+            conversation_id=conversation_id,
+            actor_id=actor_id,
+        )
+        await self.ap.agent_run_orchestrator.interaction_manager.acknowledge_submission(record, adapter)
+
+        if record['processor_type'] == 'agent':
+            await self._resume_agent_interaction(record, event, adapter, actor_id)
+            return
+        if record['processor_type'] != 'pipeline':
+            raise ValueError(f'Unsupported interaction processor type: {record["processor_type"]}')
+
+        pipeline = await self.ap.pipeline_service.get_pipeline(record['processor_id'])
+        if not pipeline:
+            raise ValueError(f'Interaction target Pipeline is unavailable: {record["processor_id"]}')
+        current_runner_id = RunnerConfigResolver.resolve_runner_id(pipeline.get('config') or {})
+        if current_runner_id != record['runner_id']:
+            raise ValueError('Interaction target Pipeline runner changed after the request was created')
+
+        message_components: list[platform_message.MessageComponent] = []
+        callback_message_id = data.get('message_id')
+        if callback_message_id:
+            message_components.append(
+                platform_message.Source(
+                    id=str(callback_message_id),
+                    time=int(event.timestamp) if event.timestamp else int(time.time()),
+                )
+            )
+        message_components.append(
+            platform_message.Plain(text=str(data.get('display_text') or data.get('action_id') or 'submitted'))
+        )
+        message_chain = platform_message.MessageChain(message_components)
+        delivery_target = record.get('delivery_target') or {}
+        original_target_type = delivery_target.get('target_type')
+        original_target_id = delivery_target.get('target_id')
+        if original_target_type == 'group':
+            group = platform_entities.Group(
+                id=original_target_id,
+                name='',
+                permission=platform_entities.Permission.Member,
+            )
+            message_event: platform_events.MessageEvent = platform_events.GroupMessage(
+                sender=platform_entities.GroupMember(
+                    id=actor_id or '',
+                    member_name='',
+                    permission=platform_entities.Permission.Member,
+                    group=group,
+                ),
+                message_chain=message_chain,
+                time=event.timestamp,
+                source_platform_object=event.source_platform_object,
+            )
+        else:
+            message_event = platform_events.FriendMessage(
+                sender=platform_entities.Friend(id=actor_id or '', nickname='', remark=''),
+                message_chain=message_chain,
+                time=event.timestamp,
+                source_platform_object=event.source_platform_object,
+            )
+
+        launcher_type = (
+            provider_session.LauncherTypes.GROUP
+            if original_target_type == 'group'
+            else provider_session.LauncherTypes.PERSON
+        )
+        await self.ap.msg_aggregator.add_message(
+            bot_uuid=self.bot_entity.uuid,
+            launcher_type=launcher_type,
+            launcher_id=original_target_id or target_id or actor_id or '',
+            sender_id=actor_id or '',
+            message_event=message_event,
+            message_chain=message_chain,
+            adapter=adapter,
+            pipeline_uuid=record['processor_id'],
+            routed_by_rule=True,
+            variables={'_interaction_submission': record['submission']},
+        )
+
+    async def _resume_agent_interaction(
+        self,
+        record: dict[str, typing.Any],
+        event: platform_events.PlatformSpecificEvent,
+        adapter: abstract_platform_adapter.AbstractMessagePlatformAdapter,
+        actor_id: str | None,
+    ) -> None:
+        """Resume the exact independent Agent that produced an interaction."""
+        agent = await self.ap.agent_service.get_agent(record['processor_id'])
+        if not agent or agent.get('kind') != 'agent' or not agent.get('enabled', True):
+            raise ValueError(f'Interaction target Agent is unavailable: {record["processor_id"]}')
+
+        binding = self._agent_product_to_binding(
+            agent,
+            {'id': record['binding_id']},
+            'interaction.submitted',
+            self.bot_entity.uuid,
+        )
+        if binding is None or binding.runner_id != record['runner_id']:
+            raise ValueError('Interaction target Agent runner changed after the request was created')
+        binding.binding_id = record['binding_id']
+
+        submission = record['submission']
+        display_text = str(
+            (submission or {}).get('action_id')
+            or (event.data if isinstance(event.data, dict) else {}).get('display_text')
+            or 'submitted'
+        )
+        input_data: dict[str, typing.Any] = {
+            'text': display_text,
+            'contents': [{'type': 'text', 'text': display_text}],
+            'attachments': [],
+        }
+        if 'interaction' in AgentInput.model_fields:
+            input_data['interaction'] = submission
+
+        delivery_target = record.get('delivery_target') or {}
+        supported_apis = self._get_adapter_supported_apis(adapter)
+        delivery_data: dict[str, typing.Any] = {
+            'surface': 'platform',
+            'reply_target': delivery_target,
+            'supports_streaming': False,
+            'supports_edit': 'edit_message' in supported_apis,
+            'supports_reaction': bool({'add_reaction', 'remove_reaction'} & set(supported_apis)),
+            'platform_capabilities': {
+                'adapter': adapter.__class__.__name__,
+                'event_type': 'interaction.submitted',
+                'supported_apis': supported_apis,
+            },
+        }
+        interaction_capabilities = self._get_adapter_interaction_capabilities(adapter, supported_apis)
+        if interaction_capabilities is not None:
+            delivery_data['interactions'] = interaction_capabilities
+
+        envelope = AgentEventEnvelope(
+            event_id=f'interaction:{record["id"]}:{uuid.uuid4()}',
+            event_type='interaction.submitted',
+            event_time=int(event.timestamp) if event.timestamp else int(time.time()),
+            source='platform',
+            source_event_type='interaction.submitted',
+            bot_id=self.bot_entity.uuid,
+            workspace_id=record.get('workspace_id'),
+            conversation_id=record.get('conversation_id'),
+            thread_id=record.get('thread_id'),
+            actor=ActorContext(actor_type='user', actor_id=actor_id),
+            subject=SubjectContext(
+                subject_type='interaction',
+                subject_id=record['interaction_id'],
+                data={'action_id': (submission or {}).get('action_id')},
+            ),
+            input=AgentInput.model_validate(input_data),
+            delivery=DeliveryContext.model_validate(delivery_data),
+            raw_ref=RawEventRef(ref_id=f'interaction:{record["id"]}', storage_key=None),
+            data={'interaction': submission},
+        )
+
+        outputs: list[provider_message.Message | provider_message.MessageChunk] = []
+        async for output in self.ap.agent_run_orchestrator.run(
+            envelope,
+            binding,
+            adapter_context={'_delivery_adapter': adapter},
+        ):
+            outputs.append(output)
+        await self._deliver_agent_outputs(envelope, outputs, adapter=adapter)
+
     async def _dispatch_eba_message_to_pipeline(
         self,
         event: platform_events.EBAEvent,
@@ -1523,8 +1748,20 @@ class RuntimeBot:
                 return
             await self._handle_platform_event(self._legacy_message_to_eba_event(event, adapter), adapter)
 
-        self.adapter.register_listener(platform_events.FriendMessage, on_friend_message)
-        self.adapter.register_listener(platform_events.GroupMessage, on_group_message)
+        get_supported_events = getattr(self.adapter, 'get_supported_events', None)
+        supported_events: list[str] = []
+        if callable(get_supported_events):
+            try:
+                supported_events = list(get_supported_events() or [])
+            except Exception:
+                supported_events = []
+
+        # EBA adapters emit MessageReceivedEvent directly. Registering both
+        # entry paths would process each native message twice because these
+        # adapters also expose legacy conversion for compatibility consumers.
+        if 'message.received' not in supported_events:
+            self.adapter.register_listener(platform_events.FriendMessage, on_friend_message)
+            self.adapter.register_listener(platform_events.GroupMessage, on_group_message)
 
         # Register feedback listener (only effective on adapters that support it)
         async def on_feedback(

tests/integration/persistence/test_migrations.py

@@ -19,6 +19,7 @@ from sqlalchemy.ext.asyncio import create_async_engine
 
 from langbot.pkg.entity.persistence import (
     agent as agent_models,
+    agent_interaction as agent_interaction_models,
     agent_run as agent_run_models,
     agent_runner_state as agent_runner_state_models,
     bot as bot_models,
@@ -57,7 +58,7 @@ class TestAlembicRevisionGraph:
         revisions = list(script.walk_revisions())
 
         assert script.get_bases() == ['0001_baseline']
-        assert script.get_heads() == ['0012_monitoring_tool_calls']
+        assert script.get_heads() == ['0014_interaction_delivery']
         assert all(len(item.revision) <= 32 for item in revisions), {
             item.revision: len(item.revision) for item in revisions if len(item.revision) > 32
         }
@@ -194,6 +195,7 @@ class TestSQLiteMigrationUpgrade:
 
         expected_agent_tables = {
             agent_models.Agent.__tablename__,
+            agent_interaction_models.AgentInteraction.__tablename__,
             agent_run_models.AgentRun.__tablename__,
             agent_run_models.AgentRunEvent.__tablename__,
             agent_run_models.AgentRuntime.__tablename__,

tests/unit_tests/agent/test_context_validation.py

@@ -1,4 +1,5 @@
 """Test that LangBot context builder output validates against SDK AgentRunContext."""
+
 from __future__ import annotations
 
 import pytest
@@ -31,7 +32,7 @@ class TestContextValidation:
         """Create a mock application."""
         mock_app = MagicMock(spec=app.Application)
         mock_app.ver_mgr = MagicMock()
-        mock_app.ver_mgr.get_current_version = MagicMock(return_value="1.0.0")
+        mock_app.ver_mgr.get_current_version = MagicMock(return_value='1.0.0')
         mock_app.persistence_mgr = MagicMock()
         mock_app.persistence_mgr.get_db_engine = MagicMock()
         mock_app.logger = MagicMock()
@@ -44,35 +45,35 @@ class TestContextValidation:
         from langbot_plugin.api.entities.builtin.agent_runner.delivery import DeliveryContext
 
         return AgentEventEnvelope(
-            event_id="evt_1",
-            event_type="message.received",
+            event_id='evt_1',
+            event_type='message.received',
             event_time=1700000000,
-            source="platform",
-            source_event_type="platform.message",
-            bot_id="bot_1",
-            workspace_id="workspace_1",
-            conversation_id="conv_1",
+            source='platform',
+            source_event_type='platform.message',
+            bot_id='bot_1',
+            workspace_id='workspace_1',
+            conversation_id='conv_1',
             thread_id=None,
             actor=ActorContext(
-                actor_type="user",
-                actor_id="user_1",
-                actor_name="Test User",
+                actor_type='user',
+                actor_id='user_1',
+                actor_name='Test User',
             ),
             subject=None,
-            input=EventInput(text="Hello world"),
-            delivery=DeliveryContext(surface="test"),
-            data={"platform_event_id": "source_evt_1"},
+            input=EventInput(text='Hello world'),
+            delivery=DeliveryContext(surface='test'),
+            data={'platform_event_id': 'source_evt_1'},
         )
 
     def _make_binding(self) -> AgentBinding:
         """Create a test binding."""
         return AgentBinding(
-            binding_id="binding_1",
-            scope=BindingScope(scope_type="agent", scope_id="pipeline_1"),
-            event_types=["message.received"],
-            runner_id="plugin:test/plugin/runner",
-            runner_config={"timeout": 300},
-            agent_id="pipeline_1",
+            binding_id='binding_1',
+            scope=BindingScope(scope_type='agent', scope_id='pipeline_1'),
+            event_types=['message.received'],
+            runner_id='plugin:test/plugin/runner',
+            runner_config={'timeout': 300},
+            agent_id='pipeline_1',
             enabled=True,
         )
 
@@ -91,16 +92,16 @@ class TestContextValidation:
     def _make_descriptor(self):
         """Create a mock runner descriptor."""
         return AgentRunnerDescriptor(
-            id="plugin:test/plugin/runner",
-            source="plugin",
-            label={"en_US": "Test Runner"},
-            plugin_author="test",
-            plugin_name="plugin",
-            runner_name="runner",
+            id='plugin:test/plugin/runner',
+            source='plugin',
+            label={'en_US': 'Test Runner'},
+            plugin_author='test',
+            plugin_name='plugin',
+            runner_name='runner',
             permissions={
-                "history": ["page", "search"],
-                "events": ["get", "page"],
-                "storage": ["plugin", "workspace"],
+                'history': ['page', 'search'],
+                'events': ['get', 'page'],
+                'storage': ['plugin', 'workspace'],
             },
         )
 
@@ -118,12 +119,14 @@ class TestContextValidation:
         # Mock persistent state store to return empty state snapshot
         with patch('langbot.pkg.agent.runner.context_builder.get_persistent_state_store') as mock_get_store:
             mock_store = AsyncMock()
-            mock_store.build_snapshot_from_event = AsyncMock(return_value={
-                'conversation': {},
-                'actor': {},
-                'subject': {},
-                'runner': {},
-            })
+            mock_store.build_snapshot_from_event = AsyncMock(
+                return_value={
+                    'conversation': {},
+                    'actor': {},
+                    'subject': {},
+                    'runner': {},
+                }
+            )
             mock_get_store.return_value = mock_store
 
             # Build context
@@ -152,27 +155,69 @@ class TestContextValidation:
         assert isinstance(validated.resources, AgentResources)
         assert validated.runtime is not None
         assert isinstance(validated.runtime, AgentRuntimeContext)
-        assert "protocol_version" not in validated.runtime.model_dump()
-        assert "sdk_protocol_version" not in validated.runtime.model_dump()
-        assert "sdk_protocol_version" not in context_dict["runtime"]
+        assert 'protocol_version' not in validated.runtime.model_dump()
+        assert 'sdk_protocol_version' not in validated.runtime.model_dump()
+        assert 'sdk_protocol_version' not in context_dict['runtime']
 
         # Verify event context
-        assert validated.event.event_id == "evt_1"
-        assert validated.event.event_type == "message.received"
-        assert validated.event.source == "platform"
-        assert validated.event.source_event_type == "platform.message"
-        assert validated.event.data == {"platform_event_id": "source_evt_1"}
+        assert validated.event.event_id == 'evt_1'
+        assert validated.event.event_type == 'message.received'
+        assert validated.event.source == 'platform'
+        assert validated.event.source_event_type == 'platform.message'
+        assert validated.event.data == {'platform_event_id': 'source_evt_1'}
 
         # Verify conversation context uses SDK field names
         assert validated.conversation is not None
-        assert validated.conversation.bot_id == "bot_1"
-        assert validated.conversation.workspace_id == "workspace_1"
+        assert validated.conversation.bot_id == 'bot_1'
+        assert validated.conversation.workspace_id == 'workspace_1'
 
         # Verify delivery context
-        assert validated.delivery.surface == "test"
+        assert validated.delivery.surface == 'test'
 
         # Verify input
-        assert validated.input.text == "Hello world"
+        assert validated.input.text == 'Hello world'
+
+    @pytest.mark.asyncio
+    async def test_build_context_preserves_interaction_protocol_fields(self):
+        """Validated submissions and delivery capabilities survive the final context projection."""
+        from langbot_plugin.api.entities.builtin.agent_runner.interaction import (
+            InteractionDeliveryCapabilities,
+            InteractionSubmission,
+        )
+
+        mock_app = self._make_mock_app()
+        builder = AgentRunContextBuilder(mock_app)
+        event = self._make_event_envelope()
+        event.event_type = 'interaction.submitted'
+        event.input.interaction = InteractionSubmission(
+            interaction_id='form-1',
+            action_id='approve',
+            values={'comment': 'looks good'},
+        )
+        event.delivery.interactions = InteractionDeliveryCapabilities(
+            field_types=['text', 'select'],
+            action_styles=['primary'],
+        )
+
+        with patch('langbot.pkg.agent.runner.context_builder.get_persistent_state_store') as mock_get_store:
+            mock_store = AsyncMock()
+            mock_store.build_snapshot_from_event = AsyncMock(
+                return_value={'conversation': {}, 'actor': {}, 'subject': {}, 'runner': {}}
+            )
+            mock_get_store.return_value = mock_store
+            context_dict = await builder.build_context_from_event(
+                event=event,
+                binding=self._make_binding(),
+                descriptor=self._make_descriptor(),
+                resources=self._make_resources(),
+            )
+
+        validated = AgentRunContext.model_validate(context_dict)
+        assert validated.input.interaction is not None
+        assert validated.input.interaction.interaction_id == 'form-1'
+        assert validated.input.interaction.values == {'comment': 'looks good'}
+        assert validated.delivery.interactions is not None
+        assert validated.delivery.interactions.field_types == ['text', 'select']
 
     @pytest.mark.asyncio
     async def test_build_context_from_event_populates_model_context_window(self):
@@ -207,12 +252,14 @@ class TestContextValidation:
 
         with patch('langbot.pkg.agent.runner.context_builder.get_persistent_state_store') as mock_get_store:
             mock_store = AsyncMock()
-            mock_store.build_snapshot_from_event = AsyncMock(return_value={
-                'conversation': {},
-                'actor': {},
-                'subject': {},
-                'runner': {},
-            })
+            mock_store.build_snapshot_from_event = AsyncMock(
+                return_value={
+                    'conversation': {},
+                    'actor': {},
+                    'subject': {},
+                    'runner': {},
+                }
+            )
             mock_get_store.return_value = mock_store
 
             context_dict = await builder.build_context_from_event(
@@ -265,37 +312,39 @@ class TestContextValidation:
         mock_app = self._make_mock_app()
         builder = AgentRunContextBuilder(mock_app)
         event = AgentEventEnvelope(
-            event_id="evt_recall_1",
-            event_type="message.recalled",
+            event_id='evt_recall_1',
+            event_type='message.recalled',
             event_time=1700000001,
-            source="platform",
-            source_event_type="platform.message.recall",
-            bot_id="bot_1",
-            workspace_id="workspace_1",
-            conversation_id="conv_1",
-            actor=ActorContext(actor_type="user", actor_id="user_1"),
+            source='platform',
+            source_event_type='platform.message.recall',
+            bot_id='bot_1',
+            workspace_id='workspace_1',
+            conversation_id='conv_1',
+            actor=ActorContext(actor_type='user', actor_id='user_1'),
             subject=SubjectContext(
-                subject_type="message",
-                subject_id="message_1",
-                data={"recalled_message_id": "message_1", "reason": "user_recall"},
+                subject_type='message',
+                subject_id='message_1',
+                data={'recalled_message_id': 'message_1', 'reason': 'user_recall'},
             ),
             input=EventInput(text=None),
-            delivery=DeliveryContext(surface="test"),
-            data={"source_event_id": "source_recall_1"},
+            delivery=DeliveryContext(surface='test'),
+            data={'source_event_id': 'source_recall_1'},
         )
         binding = self._make_binding()
-        binding.event_types = ["message.recalled"]
+        binding.event_types = ['message.recalled']
         resources = self._make_resources()
         descriptor = self._make_descriptor()
 
         with patch('langbot.pkg.agent.runner.context_builder.get_persistent_state_store') as mock_get_store:
             mock_store = AsyncMock()
-            mock_store.build_snapshot_from_event = AsyncMock(return_value={
-                'conversation': {},
-                'actor': {},
-                'subject': {},
-                'runner': {},
-            })
+            mock_store.build_snapshot_from_event = AsyncMock(
+                return_value={
+                    'conversation': {},
+                    'actor': {},
+                    'subject': {},
+                    'runner': {},
+                }
+            )
             mock_get_store.return_value = mock_store
 
             context_dict = await builder.build_context_from_event(
@@ -307,12 +356,12 @@ class TestContextValidation:
 
         validated = AgentRunContext.model_validate(context_dict)
 
-        assert validated.event.event_type == "message.recalled"
+        assert validated.event.event_type == 'message.recalled'
         assert validated.input.text is None
         assert validated.subject is not None
-        assert validated.subject.subject_type == "message"
-        assert validated.subject.subject_id == "message_1"
-        assert validated.subject.data == {"recalled_message_id": "message_1", "reason": "user_recall"}
+        assert validated.subject.subject_type == 'message'
+        assert validated.subject.subject_id == 'message_1'
+        assert validated.subject.data == {'recalled_message_id': 'message_1', 'reason': 'user_recall'}
 
     @pytest.mark.asyncio
     async def test_build_context_from_event_has_no_legacy_top_level_fields(self):
@@ -328,12 +377,14 @@ class TestContextValidation:
         # Mock persistent state store to return empty state snapshot
         with patch('langbot.pkg.agent.runner.context_builder.get_persistent_state_store') as mock_get_store:
             mock_store = AsyncMock()
-            mock_store.build_snapshot_from_event = AsyncMock(return_value={
-                'conversation': {},
-                'actor': {},
-                'subject': {},
-                'runner': {},
-            })
+            mock_store.build_snapshot_from_event = AsyncMock(
+                return_value={
+                    'conversation': {},
+                    'actor': {},
+                    'subject': {},
+                    'runner': {},
+                }
+            )
             mock_get_store.return_value = mock_store
 
             context_dict = await builder.build_context_from_event(
@@ -344,16 +395,16 @@ class TestContextValidation:
             )
 
         # Protocol v1 does NOT have these as core fields
-        assert 'messages' not in context_dict, "messages should not be top-level in Protocol v1"
-        assert 'prompt' not in context_dict, "prompt should not be top-level in Protocol v1"
-        assert 'params' not in context_dict, "params should not be top-level in Protocol v1"
+        assert 'messages' not in context_dict, 'messages should not be top-level in Protocol v1'
+        assert 'prompt' not in context_dict, 'prompt should not be top-level in Protocol v1'
+        assert 'params' not in context_dict, 'params should not be top-level in Protocol v1'
 
         # Protocol v1 DOES have these
-        assert 'delivery' in context_dict, "delivery is REQUIRED in Protocol v1"
-        assert 'context' in context_dict, "context (ContextAccess) is REQUIRED in Protocol v1"
-        assert 'bootstrap' not in context_dict, "Host must not inline bootstrap/history windows"
-        assert 'adapter' in context_dict, "adapter should exist"
-        assert 'metadata' in context_dict, "metadata should exist"
+        assert 'delivery' in context_dict, 'delivery is REQUIRED in Protocol v1'
+        assert 'context' in context_dict, 'context (ContextAccess) is REQUIRED in Protocol v1'
+        assert 'bootstrap' not in context_dict, 'Host must not inline bootstrap/history windows'
+        assert 'adapter' in context_dict, 'adapter should exist'
+        assert 'metadata' in context_dict, 'metadata should exist'
 
     @pytest.mark.asyncio
     async def test_build_context_from_event_event_is_not_none(self):
@@ -369,12 +420,14 @@ class TestContextValidation:
         # Mock persistent state store to return empty state snapshot
         with patch('langbot.pkg.agent.runner.context_builder.get_persistent_state_store') as mock_get_store:
             mock_store = AsyncMock()
-            mock_store.build_snapshot_from_event = AsyncMock(return_value={
-                'conversation': {},
-                'actor': {},
-                'subject': {},
-                'runner': {},
-            })
+            mock_store.build_snapshot_from_event = AsyncMock(
+                return_value={
+                    'conversation': {},
+                    'actor': {},
+                    'subject': {},
+                    'runner': {},
+                }
+            )
             mock_get_store.return_value = mock_store
 
             context_dict = await builder.build_context_from_event(
@@ -385,7 +438,7 @@ class TestContextValidation:
             )
 
         # event is REQUIRED in Protocol v1
-        assert context_dict.get('event') is not None, "event is REQUIRED for Protocol v1"
+        assert context_dict.get('event') is not None, 'event is REQUIRED for Protocol v1'
 
         # Validate
         validated = AgentRunContext.model_validate(context_dict)
@@ -405,12 +458,14 @@ class TestContextValidation:
         # Mock persistent state store to return empty state snapshot
         with patch('langbot.pkg.agent.runner.context_builder.get_persistent_state_store') as mock_get_store:
             mock_store = AsyncMock()
-            mock_store.build_snapshot_from_event = AsyncMock(return_value={
-                'conversation': {},
-                'actor': {},
-                'subject': {},
-                'runner': {},
-            })
+            mock_store.build_snapshot_from_event = AsyncMock(
+                return_value={
+                    'conversation': {},
+                    'actor': {},
+                    'subject': {},
+                    'runner': {},
+                }
+            )
             mock_get_store.return_value = mock_store
 
             context_dict = await builder.build_context_from_event(
@@ -421,7 +476,7 @@ class TestContextValidation:
             )
 
         # delivery is REQUIRED in Protocol v1
-        assert context_dict.get('delivery') is not None, "delivery is REQUIRED for Protocol v1"
+        assert context_dict.get('delivery') is not None, 'delivery is REQUIRED for Protocol v1'
 
         # Validate
         validated = AgentRunContext.model_validate(context_dict)

tests/unit_tests/agent/test_event_first_protocol.py

@@ -7,6 +7,7 @@ Tests cover:
 4. LangBot Host not defining context-window controls
 5. Event-first run() entry point
 """
+
 from __future__ import annotations
 
 import pytest
@@ -38,34 +39,34 @@ class TestQueryToEventEnvelope:
         """Test basic field conversion from Query to Event envelope."""
         event = QueryEntryAdapter.query_to_event(mock_query)
 
-        assert event.event_type == "message.received"
-        assert event.source == "host_adapter"
+        assert event.event_type == 'message.received'
+        assert event.source == 'host_adapter'
         assert event.bot_id == mock_query.bot_uuid
         assert event.actor is not None
-        assert event.actor.actor_type == "user"
+        assert event.actor.actor_type == 'user'
 
     def test_query_to_event_input(self, mock_query):
         """Test input conversion from Query."""
         event = QueryEntryAdapter.query_to_event(mock_query)
 
         assert event.input is not None
-        assert event.input.text == "Hello world"
-        assert "message_chain" not in event.input.model_dump()
+        assert event.input.text == 'Hello world'
+        assert 'message_chain' not in event.input.model_dump()
 
     def test_query_to_event_conversation(self, mock_query):
         """Test conversation context extraction."""
         event = QueryEntryAdapter.query_to_event(mock_query)
 
-        assert event.conversation_id == "conv-uuid-123"
+        assert event.conversation_id == 'conv-uuid-123'
 
     def test_query_to_event_prefers_variable_conversation_id_when_conversation_uuid_missing(self, mock_query):
         """Pipeline variables can provide the conversation identity for state scope."""
         mock_query.session.using_conversation.uuid = None
-        mock_query.variables["conversation_id"] = "conv-from-vars"
+        mock_query.variables['conversation_id'] = 'conv-from-vars'
 
         event = QueryEntryAdapter.query_to_event(mock_query)
 
-        assert event.conversation_id == "conv-from-vars"
+        assert event.conversation_id == 'conv-from-vars'
 
     def test_query_to_event_falls_back_to_launcher_session_for_state_scope(self, mock_query):
         """Debug Chat and legacy pipeline runs may not have a conversation UUID."""
@@ -73,77 +74,115 @@ class TestQueryToEventEnvelope:
 
         event = QueryEntryAdapter.query_to_event(mock_query)
 
-        assert event.conversation_id == "person_launcher-123"
+        assert event.conversation_id == 'person_launcher-123'
 
     def test_query_to_event_delivery_context(self, mock_query):
         """Test delivery context extraction."""
         event = QueryEntryAdapter.query_to_event(mock_query)
 
         assert event.delivery is not None
-        assert event.delivery.surface == "platform"
+        assert event.delivery.surface == 'platform'
         assert isinstance(event.delivery.supports_streaming, bool)
+        assert event.delivery.reply_target == {
+            'target_type': 'person',
+            'target_id': 'launcher-123',
+            'message_id': 789,
+        }
 
     def test_query_to_event_preserves_source_event_data(self, mock_query):
         """Test source event metadata survives the adapter boundary."""
         source_event = Mock()
-        source_event.type = "platform.message.created"
+        source_event.type = 'platform.message.created'
         source_event.time = 1700000000
         source_event.sender = None
-        source_event.model_dump = Mock(return_value={
-            "type": "platform.message.created",
-            "message_id": "source-message-1",
-            "source_platform_object": {"large": "payload"},
-        })
+        source_event.model_dump = Mock(
+            return_value={
+                'type': 'platform.message.created',
+                'message_id': 'source-message-1',
+                'source_platform_object': {'large': 'payload'},
+            }
+        )
         mock_query.message_event = source_event
 
         event = QueryEntryAdapter.query_to_event(mock_query)
 
-        assert event.source_event_type == "platform.message.created"
+        assert event.source_event_type == 'platform.message.created'
         assert event.event_time == 1700000000
         assert event.data == {
-            "type": "platform.message.created",
-            "message_id": "source-message-1",
+            'type': 'platform.message.created',
+            'message_id': 'source-message-1',
         }
 
+    @pytest.mark.parametrize(
+        ('source_time', 'expected'),
+        [
+            (1_700_000_000, 1_700_000_000),
+            (1_700_000_000_123, 1_700_000_000),
+            (1_700_000_000_123_456, 1_700_000_000),
+        ],
+    )
+    def test_query_to_event_normalizes_legacy_timestamp_units(
+        self,
+        mock_query,
+        source_time,
+        expected,
+    ):
+        mock_query.message_event = Mock(
+            type='platform.message.created',
+            time=source_time,
+            sender=None,
+        )
+        mock_query.message_event.model_dump = Mock(return_value={})
+
+        event = QueryEntryAdapter.query_to_event(mock_query)
+
+        assert event.event_time == expected
+
     def test_query_to_event_keeps_large_payloads_out_of_event_data(self, mock_query):
         """Large or nested platform payloads should not be duplicated into event.data."""
         source_event = Mock()
-        source_event.type = "platform.message.created"
+        source_event.type = 'platform.message.created'
         source_event.time = 1700000000
         source_event.sender = None
-        source_event.model_dump = Mock(return_value={
-            "type": "platform.message.created",
-            "message_id": "source-message-1",
-            "message_chain": [{"type": "Image", "base64": "data:image/png;base64," + ("a" * 1024)}],
-            "raw_text": "x" * 1024,
-            "source_platform_object": {"large": "payload"},
-        })
+        source_event.model_dump = Mock(
+            return_value={
+                'type': 'platform.message.created',
+                'message_id': 'source-message-1',
+                'message_chain': [{'type': 'Image', 'base64': 'data:image/png;base64,' + ('a' * 1024)}],
+                'raw_text': 'x' * 1024,
+                'source_platform_object': {'large': 'payload'},
+            }
+        )
         mock_query.message_event = source_event
 
         event = QueryEntryAdapter.query_to_event(mock_query)
 
         assert event.data == {
-            "type": "platform.message.created",
-            "message_id": "source-message-1",
+            'type': 'platform.message.created',
+            'message_id': 'source-message-1',
         }
 
     def test_query_to_event_handles_missing_message_chain(self, mock_query):
         """Test delivery context building when Query has no message_chain."""
-        delattr(mock_query, "message_chain")
+        delattr(mock_query, 'message_chain')
 
         event = QueryEntryAdapter.query_to_event(mock_query)
 
-        assert event.delivery.reply_target == {"message_id": None}
+        assert event.delivery.reply_target == {
+            'target_type': 'person',
+            'target_id': 'launcher-123',
+            'message_id': None,
+        }
 
     def test_query_to_event_scopes_pipeline_local_event_ids(self, mock_query):
         """Pipeline-local message IDs must not become global audit IDs."""
         first = QueryEntryAdapter.query_to_event(mock_query)
 
-        mock_query.launcher_id = "launcher-456"
+        mock_query.launcher_id = 'launcher-456'
         second = QueryEntryAdapter.query_to_event(mock_query)
 
-        assert first.event_id.startswith("host:")
-        assert first.event_id != "789"
+        assert first.event_id.startswith('host:')
+        assert first.event_id != '789'
         assert second.event_id != first.event_id
 
 
@@ -152,21 +191,22 @@ class TestQueryConfigToAgentConfig:
 
     def test_config_to_agent_config_runner_id(self, mock_query):
         """Test AgentConfig runner_id extraction."""
-        agent_config = QueryEntryAdapter.config_to_agent_config(
-            mock_query, "plugin:author/plugin/runner"
-        )
+        agent_config = QueryEntryAdapter.config_to_agent_config(mock_query, 'plugin:author/plugin/runner')
 
-        assert agent_config.runner_id == "plugin:author/plugin/runner"
+        assert agent_config.runner_id == 'plugin:author/plugin/runner'
+        assert agent_config.processor_type == 'pipeline'
+        assert agent_config.processor_id == mock_query.pipeline_uuid
+        assert agent_config.delivery_policy.enable_interactions is True
 
     def test_config_to_agent_config_uses_current_runner_config(self, mock_query):
         """Temporary query adapters use the current runner config container."""
         mock_query.pipeline_config = {
-            "ai": {
-                "runner": {"id": "plugin:langbot-team/LocalAgent/default"},
-                "runner_config": {
-                    "plugin:langbot-team/LocalAgent/default": {
-                        "model": {"primary": "model-primary", "fallbacks": []},
-                        "knowledge-bases": ["kb-001"],
+            'ai': {
+                'runner': {'id': 'plugin:langbot-team/LocalAgent/default'},
+                'runner_config': {
+                    'plugin:langbot-team/LocalAgent/default': {
+                        'model': {'primary': 'model-primary', 'fallbacks': []},
+                        'knowledge-bases': ['kb-001'],
                     },
                 },
             }
@@ -174,90 +214,109 @@ class TestQueryConfigToAgentConfig:
 
         agent_config = QueryEntryAdapter.config_to_agent_config(
             mock_query,
-            "plugin:langbot-team/LocalAgent/default",
+            'plugin:langbot-team/LocalAgent/default',
         )
 
-        assert agent_config.runner_config["model"] == {"primary": "model-primary", "fallbacks": []}
-        assert agent_config.runner_config["knowledge-bases"] == ["kb-001"]
+        assert agent_config.runner_config['model'] == {'primary': 'model-primary', 'fallbacks': []}
+        assert agent_config.runner_config['knowledge-bases'] == ['kb-001']
 
     def test_resolver_projects_agent_scope(self, mock_query):
         """Test binding scope projection through the resolver."""
         event = QueryEntryAdapter.query_to_event(mock_query)
-        agent_config = QueryEntryAdapter.config_to_agent_config(
-            mock_query, "plugin:test/plugin/runner"
-        )
+        agent_config = QueryEntryAdapter.config_to_agent_config(mock_query, 'plugin:test/plugin/runner')
         binding = AgentBindingResolver().resolve_one(event, [agent_config])
 
-        assert binding.scope.scope_type == "agent"
+        assert binding.scope.scope_type == 'agent'
         assert binding.scope.scope_id == mock_query.pipeline_uuid
         assert binding.agent_id == mock_query.pipeline_uuid
+        assert binding.processor_type == 'pipeline'
+        assert binding.processor_id == mock_query.pipeline_uuid
+
+    def test_interaction_submission_projects_control_event(self, mock_query):
+        """Pipeline callbacks keep structured submission data and match the runner binding."""
+        mock_query.variables = {
+            '_interaction_submission': {
+                'interaction_id': 'form-1',
+                'action_id': 'approve',
+                'values': {'name': 'Alice'},
+            }
+        }
+
+        event = QueryEntryAdapter.query_to_event(mock_query)
+        agent_config = QueryEntryAdapter.config_to_agent_config(mock_query, 'plugin:langbot-team/DifyAgent/default')
+        binding = AgentBindingResolver().resolve_one(event, [agent_config])
+
+        assert event.event_type == 'interaction.submitted'
+        assert event.data['interaction']['values'] == {'name': 'Alice'}
+        assert event.subject.subject_type == 'interaction'
+        assert agent_config.event_types == ['interaction.submitted']
+        assert binding.processor_type == 'pipeline'
 
     def test_resolver_rejects_multiple_matching_agents(self, mock_query):
         """Event dispatch is single-Agent in v1."""
         event = QueryEntryAdapter.query_to_event(mock_query)
-        first = QueryEntryAdapter.config_to_agent_config(
-            mock_query, "plugin:test/plugin/runner"
-        )
-        second = first.model_copy(update={"agent_id": "agent_2"})
+        first = QueryEntryAdapter.config_to_agent_config(mock_query, 'plugin:test/plugin/runner')
+        second = first.model_copy(update={'agent_id': 'agent_2'})
 
         with pytest.raises(AgentBindingResolutionError):
             AgentBindingResolver().resolve_one(event, [first, second])
 
+
 class TestAgentRunContextProtocolV1:
     """Test AgentRunContext Protocol v1 behavior."""
 
     def test_sdk_context_event_required(self):
         """Test that event is required in Protocol v1 context."""
-        trigger = AgentTrigger(type="message.received")
+        trigger = AgentTrigger(type='message.received')
         event = AgentEventContext(
-            event_id="evt_1",
-            event_type="message.received",
-            source="platform",
+            event_id='evt_1',
+            event_type='message.received',
+            source='platform',
         )
-        input = AgentInput(text="Hello")
+        input = AgentInput(text='Hello')
         from langbot_plugin.api.entities.builtin.agent_runner.resources import AgentResources
         from langbot_plugin.api.entities.builtin.agent_runner.runtime import AgentRuntimeContext
         from langbot_plugin.api.entities.builtin.agent_runner.delivery import DeliveryContext
 
         ctx = AgentRunContext(
-            run_id="run_1",
+            run_id='run_1',
             trigger=trigger,
             event=event,
             input=input,
-            delivery=DeliveryContext(surface="platform"),
+            delivery=DeliveryContext(surface='platform'),
             resources=AgentResources(),
             runtime=AgentRuntimeContext(),
         )
 
         assert ctx.event is not None
-        assert ctx.event.event_type == "message.received"
+        assert ctx.event.event_type == 'message.received'
 
     def test_sdk_context_has_no_history_message_fields(self):
         """AgentRunContext should not expose inline history message fields."""
-        trigger = AgentTrigger(type="message.received")
+        trigger = AgentTrigger(type='message.received')
         event = AgentEventContext(
-            event_id="evt_1",
-            event_type="message.received",
-            source="platform",
+            event_id='evt_1',
+            event_type='message.received',
+            source='platform',
         )
-        input = AgentInput(text="Hello")
+        input = AgentInput(text='Hello')
         from langbot_plugin.api.entities.builtin.agent_runner.resources import AgentResources
         from langbot_plugin.api.entities.builtin.agent_runner.runtime import AgentRuntimeContext
         from langbot_plugin.api.entities.builtin.agent_runner.delivery import DeliveryContext
 
         ctx = AgentRunContext(
-            run_id="run_1",
+            run_id='run_1',
             trigger=trigger,
             event=event,
             input=input,
-            delivery=DeliveryContext(surface="platform"),
+            delivery=DeliveryContext(surface='platform'),
             resources=AgentResources(),
             runtime=AgentRuntimeContext(),
         )
 
-        assert "messages" not in AgentRunContext.model_fields
-        assert "bootstrap" not in AgentRunContext.model_fields
-        assert not hasattr(ctx, "bootstrap")
+        assert 'messages' not in AgentRunContext.model_fields
+        assert 'bootstrap' not in AgentRunContext.model_fields
+        assert not hasattr(ctx, 'bootstrap')
 
 
 class TestHostManagedHistoryNotInProtocol:
@@ -267,7 +326,7 @@ class TestHostManagedHistoryNotInProtocol:
         """AgentRunContext should not expose top-level history messages."""
         ctx_fields = AgentRunContext.model_fields.keys()
 
-        assert "messages" not in ctx_fields
+        assert 'messages' not in ctx_fields
 
 
 class TestSDKResultProtocolV1:
@@ -278,11 +337,12 @@ class TestSDKResultProtocolV1:
         from langbot_plugin.api.entities.builtin.provider.message import Message
 
         result = AgentRunResult.message_completed(
-            run_id="run_1",
-            message=Message(role="assistant", content="Hello"),
+            run_id='run_1',
+            message=Message(role='assistant', content='Hello'),
         )
 
-        assert result.run_id == "run_1"
+        assert result.run_id == 'run_1'
+
 
 # Fixtures
 @pytest.fixture
@@ -290,14 +350,14 @@ def mock_query():
     """Create a mock query for testing."""
     query = Mock()
     query.query_id = 123
-    query.bot_uuid = "bot-uuid-123"
-    query.pipeline_uuid = "pipeline-uuid-456"
-    query.launcher_type = Mock(value="person")
-    query.launcher_id = "launcher-123"
-    query.sender_id = "sender-123"
+    query.bot_uuid = 'bot-uuid-123'
+    query.pipeline_uuid = 'pipeline-uuid-456'
+    query.launcher_type = Mock(value='person')
+    query.launcher_id = 'launcher-123'
+    query.sender_id = 'sender-123'
     query.pipeline_config = {
-        "ai": {
-            "runner": "plugin:test/plugin/runner",
+        'ai': {
+            'runner': 'plugin:test/plugin/runner',
         }
     }
     query.variables = {}
@@ -321,10 +381,10 @@ def mock_query():
 
     # Mock session with proper conversation
     query.session = Mock()
-    query.session.launcher_type = Mock(value="person")
-    query.session.launcher_id = "launcher-123"
+    query.session.launcher_type = Mock(value='person')
+    query.session.launcher_id = 'launcher-123'
     query.session.using_conversation = Mock()
-    query.session.using_conversation.uuid = "conv-uuid-123"
+    query.session.using_conversation.uuid = 'conv-uuid-123'
 
     # Mock use_funcs (empty list by default)
     query.use_funcs = []
@@ -338,14 +398,14 @@ def mock_query_no_session():
     """Create a mock Query without session."""
     query = Mock()
     query.query_id = 456
-    query.bot_uuid = "bot-uuid-456"
-    query.pipeline_uuid = "pipeline-uuid-789"
-    query.launcher_type = Mock(value="person")
-    query.launcher_id = "launcher-456"
-    query.sender_id = "sender-456"
+    query.bot_uuid = 'bot-uuid-456'
+    query.pipeline_uuid = 'pipeline-uuid-789'
+    query.launcher_type = Mock(value='person')
+    query.launcher_id = 'launcher-456'
+    query.sender_id = 'sender-456'
     query.pipeline_config = {
-        "ai": {
-            "runner": "plugin:test/plugin/runner",
+        'ai': {
+            'runner': 'plugin:test/plugin/runner',
         }
     }
     query.variables = {}

tests/unit_tests/agent/test_interaction_manager.py

@@ -0,0 +1,560 @@
+"""Tests for structured interaction authorization and delivery."""
+
+from __future__ import annotations
+
+from types import SimpleNamespace
+import time
+
+import pytest
+from sqlalchemy.ext.asyncio import create_async_engine
+
+from langbot_plugin.api.entities.builtin.agent_runner.delivery import DeliveryContext
+from langbot_plugin.api.entities.builtin.agent_runner.event import ActorContext
+from langbot_plugin.api.entities.builtin.agent_runner.input import AgentInput
+from langbot_plugin.api.entities.builtin.agent_runner.interaction import (
+    InteractionDeliveryCapabilities,
+    InteractionSubmission,
+)
+
+from langbot.pkg.agent.runner.errors import RunnerProtocolError
+from langbot.pkg.agent.runner.host_models import (
+    AgentBinding,
+    AgentEventEnvelope,
+    BindingScope,
+    DeliveryPolicy,
+)
+from langbot.pkg.agent.runner.interaction_manager import InteractionManager
+from langbot.pkg.agent.runner.interaction_store import InteractionStore
+from langbot.pkg.entity.persistence.base import Base
+
+
+class FakeAdapter:
+    def __init__(self, *, supports_interactions: bool, fail_updates: bool = False):
+        self.supports_interactions = supports_interactions
+        self.fail_updates = fail_updates
+        self.actions: list[tuple[str, dict]] = []
+        self.messages: list[tuple[str, str, object]] = []
+
+    def get_supported_apis(self):
+        return ['interaction.request', 'interaction.acknowledge'] if self.supports_interactions else ['send_message']
+
+    async def call_platform_api(self, action: str, params: dict):
+        self.actions.append((action, params))
+        if action == 'interaction.request' and params.get('update_target') and self.fail_updates:
+            raise RuntimeError('update unavailable')
+        update_target = params.get('update_target') or {}
+        message_id = update_target.get('message_id') or f'message-{len(self.actions)}'
+        card_id = update_target.get('card_id') or f'card-{len(self.actions)}'
+        sequence = int(update_target.get('sequence') or 0) + (1 if update_target else 0)
+        return {
+            'ok': True,
+            'message_id': message_id,
+            'card_id': card_id,
+            'sequence': sequence,
+            'rich': True,
+        }
+
+    async def send_message(self, target_type: str, target_id: str, message_chain):
+        self.messages.append((target_type, target_id, message_chain))
+
+
+@pytest.fixture
+async def store(tmp_path):
+    engine = create_async_engine(f'sqlite+aiosqlite:///{tmp_path / "manager.db"}', echo=False)
+    async with engine.begin() as conn:
+        await conn.run_sync(Base.metadata.create_all)
+    yield InteractionStore(engine)
+    await engine.dispose()
+
+
+@pytest.fixture
+def event():
+    return AgentEventEnvelope(
+        event_id='evt-1',
+        event_type='message.received',
+        source='platform',
+        bot_id='bot-1',
+        conversation_id='group_chat-1',
+        actor=ActorContext(actor_type='user', actor_id='user-1'),
+        input=AgentInput(text='start'),
+        delivery=DeliveryContext(
+            surface='platform',
+            reply_target={'target_type': 'group', 'target_id': 'chat-1'},
+        ),
+    )
+
+
+@pytest.fixture
+def binding():
+    return AgentBinding(
+        binding_id='binding-1',
+        scope=BindingScope(scope_type='agent', scope_id='pipeline-1'),
+        runner_id='plugin:test/ApprovalRunner/default',
+        delivery_policy=DeliveryPolicy(enable_interactions=True),
+        processor_type='pipeline',
+        processor_id='pipeline-1',
+    )
+
+
+def _descriptor(*, permitted: bool = True):
+    return SimpleNamespace(
+        id='plugin:test/ApprovalRunner/default',
+        capabilities=SimpleNamespace(interactions=permitted),
+        permissions=SimpleNamespace(interactions=['request'] if permitted else []),
+    )
+
+
+def _result():
+    return {
+        'type': 'action.requested',
+        'data': {
+            'action': 'interaction.requested',
+            'target': {'target_type': 'person', 'target_id': 'attacker-selected'},
+            'payload': {
+                'interaction_id': 'form-1',
+                'kind': 'choice',
+                'title': 'Approve request?',
+                'actions': [
+                    {'id': 'approve', 'label': 'Approve', 'style': 'primary'},
+                    {'id': 'reject', 'label': 'Reject', 'style': 'danger'},
+                ],
+                'fallback_text': 'Reply approve or reject.',
+            },
+        },
+    }
+
+
+@pytest.mark.asyncio
+async def test_structured_delivery_uses_frozen_target_and_persists_request(store, event, binding):
+    adapter = FakeAdapter(supports_interactions=True)
+    manager = InteractionManager(SimpleNamespace(), store=store)
+
+    consumed = await manager.handle_result(
+        result_dict=_result(),
+        event=event,
+        binding=binding,
+        descriptor=_descriptor(),
+        run_id='run-1',
+        adapter_context={'_delivery_adapter': adapter},
+    )
+
+    assert consumed is True
+    assert adapter.actions[0][0] == 'interaction.request'
+    params = adapter.actions[0][1]
+    assert params['reply_target'] == {'target_type': 'group', 'target_id': 'chat-1'}
+    assert params['callback_token']
+    assert 'attacker-selected' not in str(params)
+
+    record = await store.get_request('run-1', 'form-1')
+    assert record is not None
+    assert record['processor_type'] == 'pipeline'
+    assert record['processor_id'] == 'pipeline-1'
+    assert record['actor_id'] == 'user-1'
+    assert record['expires_at'] is not None
+    assert 0 < record['expires_at'] - time.time() <= 30 * 60
+    assert record['delivery_result']['message_id'] == 'message-1'
+
+
+@pytest.mark.asyncio
+async def test_continuous_interaction_reuses_submitted_platform_presentation(store, event, binding):
+    adapter = FakeAdapter(supports_interactions=True)
+    manager = InteractionManager(SimpleNamespace(), store=store)
+    event.delivery.interactions = InteractionDeliveryCapabilities(supports_updates=True)
+
+    await manager.handle_result(
+        result_dict=_result(),
+        event=event,
+        binding=binding,
+        descriptor=_descriptor(),
+        run_id='run-1',
+        adapter_context={'_delivery_adapter': adapter},
+    )
+    first_token = adapter.actions[0][1]['callback_token']
+    submitted = await manager.consume_callback(
+        callback_token=first_token,
+        submission={'interaction_id': 'form-1', 'action_id': 'approve', 'values': {}},
+        bot_id='bot-1',
+        conversation_id='group_chat-1',
+        actor_id='user-1',
+    )
+    await manager.acknowledge_submission(submitted, adapter)
+
+    event.event_type = 'interaction.submitted'
+    event.input.interaction = InteractionSubmission(
+        interaction_id='form-1',
+        action_id='approve',
+    )
+    second_result = _result()
+    second_result['data']['payload']['interaction_id'] = 'form-2'
+    await manager.handle_result(
+        result_dict=second_result,
+        event=event,
+        binding=binding,
+        descriptor=_descriptor(),
+        run_id='run-2',
+        adapter_context={'_delivery_adapter': adapter},
+    )
+
+    assert [action for action, _ in adapter.actions] == [
+        'interaction.request',
+        'interaction.acknowledge',
+        'interaction.request',
+    ]
+    update_params = adapter.actions[-1][1]
+    assert update_params['update_target']['message_id'] == 'message-1'
+    assert update_params['update_target']['sequence'] == 1
+    second_record = await store.get_request('run-2', 'form-2')
+    assert second_record['replaces_interaction_id'] == 'form-1'
+    assert second_record['delivery_result']['message_id'] == 'message-1'
+    assert second_record['delivery_result']['sequence'] == 2
+
+
+@pytest.mark.asyncio
+async def test_interaction_update_failure_falls_back_to_new_presentation(store, event, binding):
+    adapter = FakeAdapter(supports_interactions=True, fail_updates=True)
+    manager = InteractionManager(SimpleNamespace(), store=store)
+    event.delivery.interactions = InteractionDeliveryCapabilities(supports_updates=True)
+
+    await manager.handle_result(
+        result_dict=_result(),
+        event=event,
+        binding=binding,
+        descriptor=_descriptor(),
+        run_id='run-1',
+        adapter_context={'_delivery_adapter': adapter},
+    )
+    first_token = adapter.actions[0][1]['callback_token']
+    await manager.consume_callback(
+        callback_token=first_token,
+        submission={'interaction_id': 'form-1', 'action_id': 'approve', 'values': {}},
+        bot_id='bot-1',
+        conversation_id='group_chat-1',
+        actor_id='user-1',
+    )
+
+    event.input.interaction = InteractionSubmission(interaction_id='form-1', action_id='approve')
+    second_result = _result()
+    second_result['data']['payload']['interaction_id'] = 'form-2'
+    await manager.handle_result(
+        result_dict=second_result,
+        event=event,
+        binding=binding,
+        descriptor=_descriptor(),
+        run_id='run-2',
+        adapter_context={'_delivery_adapter': adapter},
+    )
+
+    update_attempt = adapter.actions[-2][1]
+    fallback_attempt = adapter.actions[-1][1]
+    assert update_attempt['update_target']['message_id'] == 'message-1'
+    assert 'update_target' not in fallback_attempt
+    assert fallback_attempt['callback_token'] == update_attempt['callback_token']
+
+
+@pytest.mark.asyncio
+async def test_callback_scope_uses_frozen_delivery_conversation(store, event, binding):
+    event.conversation_id = 'runner-owned-external-conversation'
+    adapter = FakeAdapter(supports_interactions=True)
+    manager = InteractionManager(SimpleNamespace(), store=store)
+
+    await manager.handle_result(
+        result_dict=_result(),
+        event=event,
+        binding=binding,
+        descriptor=_descriptor(),
+        run_id='run-1',
+        adapter_context={'_delivery_adapter': adapter},
+    )
+
+    record = await store.get_request('run-1', 'form-1')
+    assert record['conversation_id'] == 'group_chat-1'
+
+
+@pytest.mark.asyncio
+async def test_adapter_without_interactions_receives_fallback_text(store, event, binding):
+    adapter = FakeAdapter(supports_interactions=False)
+    manager = InteractionManager(SimpleNamespace(), store=store)
+
+    assert await manager.handle_result(
+        result_dict=_result(),
+        event=event,
+        binding=binding,
+        descriptor=_descriptor(),
+        run_id='run-1',
+        adapter_context={'_delivery_adapter': adapter},
+    )
+
+    assert adapter.actions == []
+    target_type, target_id, message_chain = adapter.messages[0]
+    assert (target_type, target_id) == ('group', 'chat-1')
+    assert str(message_chain) == 'Reply approve or reject.'
+
+
+@pytest.mark.asyncio
+async def test_runner_without_interaction_permission_is_rejected(store, event, binding):
+    manager = InteractionManager(SimpleNamespace(), store=store)
+
+    with pytest.raises(RunnerProtocolError, match='did not declare'):
+        await manager.handle_result(
+            result_dict=_result(),
+            event=event,
+            binding=binding,
+            descriptor=_descriptor(permitted=False),
+            run_id='run-1',
+            adapter_context={'_delivery_adapter': FakeAdapter(supports_interactions=True)},
+        )
+
+    assert await store.get_request('run-1', 'form-1') is None
+
+
+@pytest.mark.asyncio
+async def test_binding_policy_can_disable_interactions(store, event, binding):
+    manager = InteractionManager(SimpleNamespace(), store=store)
+    binding.delivery_policy.enable_interactions = False
+
+    with pytest.raises(RunnerProtocolError, match='delivery policy'):
+        await manager.handle_result(
+            result_dict=_result(),
+            event=event,
+            binding=binding,
+            descriptor=_descriptor(),
+            run_id='run-1',
+            adapter_context={'_delivery_adapter': FakeAdapter(supports_interactions=True)},
+        )
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize(
+    ('expires_at', 'error'),
+    [
+        (lambda now: 0, 'already expired'),
+        (lambda now: now - 1, 'already expired'),
+        (lambda now: now + 24 * 60 * 60 + 1, 'exceeds 24 hours'),
+    ],
+)
+async def test_interaction_expiry_is_bounded(store, event, binding, expires_at, error):
+    result = _result()
+    result['data']['payload']['expires_at'] = expires_at(int(time.time()))
+    manager = InteractionManager(SimpleNamespace(), store=store)
+
+    with pytest.raises(RunnerProtocolError, match=error):
+        await manager.handle_result(
+            result_dict=result,
+            event=event,
+            binding=binding,
+            descriptor=_descriptor(),
+            run_id='run-1',
+            adapter_context={'_delivery_adapter': FakeAdapter(supports_interactions=True)},
+        )
+
+
+@pytest.mark.asyncio
+async def test_interaction_rejects_duplicate_protocol_ids(store, event, binding):
+    result = _result()
+    result['data']['payload']['actions'].append({'id': 'approve', 'label': 'Approve again'})
+    manager = InteractionManager(SimpleNamespace(), store=store)
+
+    with pytest.raises(RunnerProtocolError, match='duplicate action IDs'):
+        await manager.handle_result(
+            result_dict=result,
+            event=event,
+            binding=binding,
+            descriptor=_descriptor(),
+            run_id='run-1',
+            adapter_context={'_delivery_adapter': FakeAdapter(supports_interactions=True)},
+        )
+
+
+@pytest.mark.asyncio
+async def test_interaction_request_payload_is_bounded(store, event, binding):
+    result = _result()
+    result['data']['payload']['fields'] = [
+        {
+            'id': f'field-{field_index}',
+            'label': 'Field',
+            'type': 'select',
+            'options': [
+                {
+                    'value': f'{field_index}-{option_index}',
+                    'label': 'x' * 512,
+                }
+                for option_index in range(100)
+            ],
+        }
+        for field_index in range(10)
+    ]
+    manager = InteractionManager(SimpleNamespace(), store=store)
+
+    with pytest.raises(RunnerProtocolError, match='exceeds 256 KiB'):
+        await manager.handle_result(
+            result_dict=result,
+            event=event,
+            binding=binding,
+            descriptor=_descriptor(),
+            run_id='run-1',
+            adapter_context={'_delivery_adapter': FakeAdapter(supports_interactions=True)},
+        )
+
+
+@pytest.mark.asyncio
+async def test_non_interaction_action_is_not_consumed(store, event, binding):
+    manager = InteractionManager(SimpleNamespace(), store=store)
+    result = _result()
+    result['data']['action'] = 'platform.message.delete'
+
+    assert not await manager.handle_result(
+        result_dict=result,
+        event=event,
+        binding=binding,
+        descriptor=_descriptor(),
+        run_id='run-1',
+        adapter_context={'_delivery_adapter': FakeAdapter(supports_interactions=True)},
+    )
+
+
+async def _deliver_interaction(store, event, binding, result=None):
+    adapter = FakeAdapter(supports_interactions=True)
+    manager = InteractionManager(SimpleNamespace(), store=store)
+    await manager.handle_result(
+        result_dict=result or _result(),
+        event=event,
+        binding=binding,
+        descriptor=_descriptor(),
+        run_id='run-1',
+        adapter_context={'_delivery_adapter': adapter},
+    )
+    return manager, adapter.actions[0][1]['callback_token']
+
+
+@pytest.mark.asyncio
+async def test_callback_action_ref_resolves_persisted_action_and_ignores_forged_id(store, event, binding):
+    manager, callback_token = await _deliver_interaction(store, event, binding)
+
+    resumed = await manager.consume_callback(
+        callback_token=callback_token,
+        submission={
+            'interaction_id': 'attacker-selected',
+            'action_ref': 1,
+            'values': {},
+        },
+        bot_id='bot-1',
+        conversation_id='group_chat-1',
+        actor_id='user-1',
+    )
+
+    assert resumed['submission']['interaction_id'] == 'form-1'
+    assert resumed['submission']['action_id'] == 'reject'
+
+
+@pytest.mark.asyncio
+async def test_callback_submission_time_is_host_owned(store, event, binding):
+    manager, callback_token = await _deliver_interaction(store, event, binding)
+    before = int(time.time())
+
+    resumed = await manager.consume_callback(
+        callback_token=callback_token,
+        submission={'action_ref': 0, 'submitted_at': 1},
+        bot_id='bot-1',
+        conversation_id='group_chat-1',
+        actor_id='user-1',
+    )
+
+    assert before <= resumed['submission']['submitted_at'] <= int(time.time())
+    assert resumed['submitted_at'] == resumed['submission']['submitted_at']
+
+
+@pytest.mark.asyncio
+async def test_callback_option_refs_resolve_persisted_field_and_value(store, event, binding):
+    result = _result()
+    result['data']['payload']['fields'] = [
+        {
+            'id': 'priority',
+            'label': 'Priority',
+            'type': 'select',
+            'options': [
+                {'value': 'normal', 'label': 'Normal'},
+                {'value': 'urgent', 'label': 'Urgent'},
+            ],
+        }
+    ]
+    manager, callback_token = await _deliver_interaction(store, event, binding, result)
+
+    resumed = await manager.consume_callback(
+        callback_token=callback_token,
+        submission={'field_ref': 0, 'option_ref': 1},
+        bot_id='bot-1',
+        conversation_id='group_chat-1',
+        actor_id='user-1',
+    )
+
+    assert resumed['submission']['interaction_id'] == 'form-1'
+    assert resumed['submission']['values'] == {'priority': 'urgent'}
+
+
+@pytest.mark.asyncio
+async def test_callback_rejects_out_of_range_reference(store, event, binding):
+    manager, callback_token = await _deliver_interaction(store, event, binding)
+
+    with pytest.raises(ValueError, match='action reference is invalid'):
+        await manager.consume_callback(
+            callback_token=callback_token,
+            submission={'action_ref': 99},
+            bot_id='bot-1',
+            conversation_id='group_chat-1',
+            actor_id='user-1',
+        )
+
+    pending = await store.get_request('run-1', 'form-1')
+    assert pending is not None
+    assert pending['status'] == 'pending'
+
+
+@pytest.mark.asyncio
+async def test_callback_rejects_negative_reference(store, event, binding):
+    manager, callback_token = await _deliver_interaction(store, event, binding)
+
+    with pytest.raises(ValueError, match='action reference is invalid'):
+        await manager.consume_callback(
+            callback_token=callback_token,
+            submission={'action_ref': -1},
+            bot_id='bot-1',
+            conversation_id='group_chat-1',
+            actor_id='user-1',
+        )
+
+
+@pytest.mark.asyncio
+async def test_callback_rejects_action_not_present_in_request(store, event, binding):
+    manager, callback_token = await _deliver_interaction(store, event, binding)
+
+    with pytest.raises(ValueError, match='action is not present'):
+        await manager.consume_callback(
+            callback_token=callback_token,
+            submission={'action_id': 'attacker-selected'},
+            bot_id='bot-1',
+            conversation_id='group_chat-1',
+            actor_id='user-1',
+        )
+
+
+@pytest.mark.asyncio
+async def test_callback_rejects_option_not_present_in_request(store, event, binding):
+    result = _result()
+    result['data']['payload']['fields'] = [
+        {
+            'id': 'priority',
+            'label': 'Priority',
+            'type': 'select',
+            'options': [{'value': 'normal', 'label': 'Normal'}],
+        }
+    ]
+    manager, callback_token = await _deliver_interaction(store, event, binding, result)
+
+    with pytest.raises(ValueError, match='option is not present'):
+        await manager.consume_callback(
+            callback_token=callback_token,
+            submission={'values': {'priority': 'attacker-selected'}},
+            bot_id='bot-1',
+            conversation_id='group_chat-1',
+            actor_id='user-1',
+        )

tests/unit_tests/agent/test_interaction_store.py

@@ -0,0 +1,260 @@
+"""Tests for Host-owned structured interaction persistence."""
+
+from __future__ import annotations
+
+import datetime
+import hashlib
+
+import pytest
+import sqlalchemy
+from sqlalchemy.ext.asyncio import create_async_engine
+
+from langbot.pkg.agent.runner.interaction_store import (
+    DuplicateInteractionError,
+    InteractionAlreadySubmittedError,
+    InteractionExpiredError,
+    InteractionScopeError,
+    InteractionStore,
+)
+from langbot.pkg.entity.persistence.agent_interaction import AgentInteraction
+from langbot.pkg.entity.persistence.base import Base
+
+
+UTC = datetime.timezone.utc
+
+
+@pytest.fixture
+async def db_engine(tmp_path):
+    engine = create_async_engine(f'sqlite+aiosqlite:///{tmp_path / "interactions.db"}', echo=False)
+    async with engine.begin() as conn:
+        await conn.run_sync(Base.metadata.create_all)
+    yield engine
+    await engine.dispose()
+
+
+@pytest.fixture
+def store(db_engine):
+    return InteractionStore(db_engine)
+
+
+async def _create(store: InteractionStore, **overrides):
+    values = {
+        'interaction_id': 'form-1',
+        'run_id': 'run-1',
+        'binding_id': 'binding-1',
+        'runner_id': 'plugin:test/ApprovalRunner/default',
+        'processor_type': 'pipeline',
+        'processor_id': 'pipeline-1',
+        'request': {'interaction_id': 'form-1', 'title': 'Approve?', 'fallback_text': 'Reply yes or no.'},
+        'delivery_target': {'chat_id': 'chat-1'},
+        'bot_id': 'bot-1',
+        'conversation_id': 'group_chat-1',
+        'actor_id': 'user-1',
+        'expires_at': int((datetime.datetime.now(UTC) + datetime.timedelta(minutes=5)).timestamp()),
+    }
+    values.update(overrides)
+    return await store.create_request(**values)
+
+
+@pytest.mark.asyncio
+async def test_create_request_returns_token_but_persists_only_hash(store, db_engine):
+    record, token = await _create(store)
+
+    assert record['status'] == 'pending'
+    assert record['processor_type'] == 'pipeline'
+    assert token
+
+    async with db_engine.connect() as conn:
+        result = await conn.execute(sqlalchemy.select(AgentInteraction.callback_token_hash))
+        stored_hash = result.scalar_one()
+
+    assert stored_hash == hashlib.sha256(token.encode()).hexdigest()
+    assert stored_hash != token
+
+
+@pytest.mark.asyncio
+async def test_submission_is_scope_checked_and_consumed_once(store):
+    _, token = await _create(store)
+
+    submitted = await store.consume_submission(
+        callback_token=token,
+        submission={'interaction_id': 'form-1', 'action_id': 'approve', 'values': {'name': 'Alice'}},
+        bot_id='bot-1',
+        conversation_id='group_chat-1',
+        actor_id='user-1',
+    )
+
+    assert submitted['status'] == 'submitted'
+    assert submitted['submission']['action_id'] == 'approve'
+    assert submitted['submission']['values'] == {'name': 'Alice'}
+
+    with pytest.raises(InteractionAlreadySubmittedError):
+        await store.consume_submission(
+            callback_token=token,
+            submission={'interaction_id': 'form-1', 'action_id': 'approve', 'values': {}},
+            bot_id='bot-1',
+            conversation_id='group_chat-1',
+            actor_id='user-1',
+        )
+
+
+@pytest.mark.asyncio
+async def test_delivery_result_can_be_resolved_for_scoped_update(store):
+    _, token = await _create(store)
+    assert await store.record_delivery_success(
+        'run-1',
+        'form-1',
+        {'message_id': 'message-1', 'rich': True},
+    )
+    await store.consume_submission(
+        callback_token=token,
+        submission={'interaction_id': 'form-1', 'action_id': 'approve', 'values': {}},
+        bot_id='bot-1',
+        conversation_id='group_chat-1',
+        actor_id='user-1',
+    )
+    assert await store.record_delivery_success(
+        'run-1',
+        'form-1',
+        {'message_id': 'message-1', 'card_id': 'card-1', 'sequence': 1, 'rich': True},
+    )
+
+    target = await store.find_update_target(
+        interaction_id='form-1',
+        binding_id='binding-1',
+        runner_id='plugin:test/ApprovalRunner/default',
+        processor_type='pipeline',
+        processor_id='pipeline-1',
+        bot_id='bot-1',
+        conversation_id='group_chat-1',
+        actor_id='user-1',
+    )
+    assert target['delivery_result'] == {
+        'message_id': 'message-1',
+        'card_id': 'card-1',
+        'sequence': 1,
+        'rich': True,
+    }
+
+    assert (
+        await store.find_update_target(
+            interaction_id='form-1',
+            binding_id='binding-1',
+            runner_id='plugin:test/ApprovalRunner/default',
+            processor_type='pipeline',
+            processor_id='pipeline-1',
+            bot_id='bot-1',
+            conversation_id='group_chat-1',
+            actor_id='other-user',
+        )
+        is None
+    )
+
+
+@pytest.mark.asyncio
+async def test_scope_mismatch_does_not_consume_request(store):
+    _, token = await _create(store)
+
+    with pytest.raises(InteractionScopeError, match='actor'):
+        await store.consume_submission(
+            callback_token=token,
+            submission={'interaction_id': 'form-1', 'values': {}},
+            bot_id='bot-1',
+            conversation_id='group_chat-1',
+            actor_id='other-user',
+        )
+
+    record = await store.get_request('run-1', 'form-1')
+    assert record is not None
+    assert record['status'] == 'pending'
+
+
+@pytest.mark.asyncio
+async def test_expired_request_is_marked_terminal(store):
+    _, token = await _create(store)
+    cutoff = datetime.datetime.now(UTC) + datetime.timedelta(minutes=10)
+    assert await store.expire_pending(now=cutoff) == 1
+
+    with pytest.raises(InteractionExpiredError):
+        await store.consume_submission(
+            callback_token=token,
+            submission={'interaction_id': 'form-1', 'values': {}},
+            bot_id='bot-1',
+            conversation_id='group_chat-1',
+            actor_id='user-1',
+        )
+
+    record = await store.get_request('run-1', 'form-1')
+    assert record is not None
+    assert record['status'] == 'expired'
+
+
+@pytest.mark.asyncio
+async def test_forged_old_submission_time_cannot_bypass_server_expiry(store, db_engine):
+    _, token = await _create(store)
+    expired_at = datetime.datetime.now(UTC) - datetime.timedelta(minutes=1)
+    async with db_engine.begin() as conn:
+        await conn.execute(
+            sqlalchemy.update(AgentInteraction).where(AgentInteraction.run_id == 'run-1').values(expires_at=expired_at)
+        )
+
+    with pytest.raises(InteractionExpiredError):
+        await store.consume_submission(
+            callback_token=token,
+            submission={'interaction_id': 'form-1', 'values': {}},
+            bot_id='bot-1',
+            conversation_id='group_chat-1',
+            actor_id='user-1',
+            submitted_at=int((expired_at - datetime.timedelta(minutes=1)).timestamp()),
+        )
+
+    record = await store.get_request('run-1', 'form-1')
+    assert record is not None
+    assert record['status'] == 'expired'
+
+
+@pytest.mark.asyncio
+async def test_interaction_id_is_unique_within_run_only(store):
+    await _create(store)
+
+    with pytest.raises(DuplicateInteractionError):
+        await _create(store)
+
+    second, _ = await _create(store, run_id='run-2')
+    assert second['interaction_id'] == 'form-1'
+    assert second['run_id'] == 'run-2'
+
+
+@pytest.mark.asyncio
+async def test_expire_pending_updates_only_elapsed_rows(store):
+    now = datetime.datetime.now(UTC)
+    await _create(
+        store,
+        interaction_id='expired',
+        run_id='run-expired',
+        expires_at=int((now + datetime.timedelta(minutes=5)).timestamp()),
+    )
+    await _create(
+        store,
+        interaction_id='future',
+        run_id='run-future',
+        expires_at=int((now + datetime.timedelta(minutes=20)).timestamp()),
+    )
+    cutoff = datetime.datetime.now(UTC) + datetime.timedelta(minutes=10)
+
+    expired = await store.expire_pending(now=cutoff)
+
+    assert expired == 1
+    assert (await store.get_request('run-expired', 'expired'))['status'] == 'expired'
+    assert (await store.get_request('run-future', 'future'))['status'] == 'pending'
+
+
+@pytest.mark.asyncio
+async def test_delivery_failure_is_terminal(store):
+    await _create(store)
+
+    assert await store.mark_delivery_failed('run-1', 'form-1', 'adapter rejected card')
+    record = await store.get_request('run-1', 'form-1')
+    assert record is not None
+    assert record['status'] == 'delivery_failed'
+    assert record['status_reason'] == 'adapter rejected card'

tests/unit_tests/agent/test_orchestrator_integration.py

@@ -17,6 +17,7 @@ from langbot.pkg.agent.runner.query_entry_adapter import QueryEntryAdapter
 from langbot.pkg.agent.runner.binding_resolver import AgentBindingResolver
 from langbot.pkg.agent.runner.session_registry import get_session_registry
 from langbot.pkg.agent.runner.run_ledger_store import RunLedgerStore
+from langbot.pkg.agent.runner.interaction_store import InteractionStore
 from langbot.pkg.agent.runner.persistent_state_store import reset_persistent_state_store
 from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
 from langbot_plugin.api.entities.builtin.platform import events as platform_events
@@ -412,6 +413,67 @@ async def test_orchestrator_runs_fake_plugin_with_authorized_context(clean_agent
     assert await get_session_registry().get(context['run_id']) is None
 
 
+@pytest.mark.asyncio
+async def test_orchestrator_consumes_interaction_request_before_message_output(clean_agent_state):
+    """Whitelisted interaction actions are delivered and never emitted as messages."""
+    db_engine = clean_agent_state
+    descriptor = make_descriptor()
+    # The local SDK pin predates this contract; these become typed fields with SDK 0.5.0a3.
+    descriptor.capabilities.__dict__['interactions'] = True
+    descriptor.permissions.__dict__['interactions'] = ['request']
+    plugin_connector = FakePluginConnector(
+        results=[
+            {
+                'type': 'action.requested',
+                'data': {
+                    'action': 'interaction.requested',
+                    'payload': {
+                        'interaction_id': 'approval-1',
+                        'kind': 'choice',
+                        'title': 'Approve request?',
+                        'actions': [
+                            {'id': 'approve', 'label': 'Approve', 'style': 'primary'},
+                            {'id': 'reject', 'label': 'Reject', 'style': 'danger'},
+                        ],
+                        'fallback_text': 'Reply approve or reject.',
+                    },
+                },
+            },
+            {
+                'type': 'message.completed',
+                'data': {'message': {'role': 'assistant', 'content': 'Waiting for approval'}},
+            },
+        ]
+    )
+    ap = FakeApplication(plugin_connector, db_engine)
+    orchestrator = AgentRunOrchestrator(ap, FakeRegistry(descriptor))
+    query = make_query()
+    query.adapter = types.SimpleNamespace(
+        get_supported_apis=lambda: ['interaction.request'],
+        call_platform_api=AsyncMock(return_value={'ok': True}),
+    )
+
+    messages = [message async for message in orchestrator.run_from_query(query)]
+
+    assert [message.content for message in messages] == ['Waiting for approval']
+    query.adapter.call_platform_api.assert_awaited_once()
+    action, params = query.adapter.call_platform_api.await_args.args
+    assert action == 'interaction.request'
+    assert params['reply_target'] == {
+        'target_type': 'person',
+        'target_id': 'user_001',
+        'message_id': 'msg_001',
+    }
+    assert params['callback_token']
+
+    run_id = plugin_connector.contexts[0]['run_id']
+    request = await InteractionStore(db_engine).get_request(run_id, 'approval-1')
+    assert request is not None
+    assert request['status'] == 'pending'
+    assert request['processor_type'] == 'pipeline'
+    assert request['processor_id'] == 'pipeline_001'
+
+
 @pytest.mark.asyncio
 async def test_orchestrator_persists_run_ledger(clean_agent_state):
     """AgentRunOrchestrator records Host-owned run and result events."""

tests/unit_tests/pipeline/test_aggregator.py

@@ -366,6 +366,36 @@ class TestMessageAggregatorAddMessage:
         # Should have buffered the message
         assert len(agg.buffers) == 1
 
+    @pytest.mark.asyncio
+    async def test_control_variables_bypass_aggregation(self):
+        """Interaction callbacks must not merge with nearby chat messages."""
+        aggregator = get_aggregator_module()
+        app = make_aggregator_app()
+        mock_pipeline = Mock()
+        mock_pipeline.pipeline_entity = Mock()
+        mock_pipeline.pipeline_entity.config = {'trigger': {'message-aggregation': {'enabled': True, 'delay': 10.0}}}
+        app.pipeline_mgr.get_pipeline_by_uuid = AsyncMock(return_value=mock_pipeline)
+        agg = aggregator.MessageAggregator(app)
+
+        chain = text_chain('approve')
+        await agg.add_message(
+            bot_uuid='test-bot',
+            launcher_type=provider_session.LauncherTypes.PERSON,
+            launcher_id=12345,
+            sender_id=12345,
+            message_event=friend_message_event(chain),
+            message_chain=chain,
+            adapter=mock_adapter(),
+            pipeline_uuid='test-pipeline',
+            variables={'_interaction_submission': {'interaction_id': 'form-1'}},
+        )
+
+        assert agg.buffers == {}
+        app.query_pool.add_query.assert_awaited_once()
+        assert app.query_pool.add_query.call_args.kwargs['variables'] == {
+            '_interaction_submission': {'interaction_id': 'form-1'}
+        }
+
     @pytest.mark.asyncio
     async def test_max_buffer_flushes_immediately(self):
         """Reaching MAX_BUFFER_MESSAGES should flush immediately."""

tests/unit_tests/pipeline/test_pipelinemgr.py

@@ -164,6 +164,96 @@ async def test_runtime_pipeline_execute(mock_app, sample_query):
     mock_stage.process.assert_called_once()
 
 
+@pytest.mark.asyncio
+async def test_runtime_pipeline_delivers_latest_chunk_as_final(mock_app, sample_query):
+    """The terminal chunk, not the first chunk, controls final stream delivery."""
+    pipelinemgr = get_pipelinemgr_module()
+    persistence_pipeline = get_persistence_pipeline_module()
+    entities = get_entities_module()
+    provider_message = import_module('langbot_plugin.api.entities.builtin.provider.message')
+
+    pipeline_entity = Mock(spec=persistence_pipeline.LegacyPipeline)
+    pipeline_entity.config = sample_query.pipeline_config
+    pipeline_entity.extensions_preferences = {'plugins': []}
+    runtime_pipeline = pipelinemgr.RuntimePipeline(mock_app, pipeline_entity, [])
+
+    first_chunk = provider_message.MessageChunk(role='assistant', content='Starting', is_final=False)
+    final_chunk = provider_message.MessageChunk(role='assistant', content='Done', is_final=True)
+    sample_query.resp_messages = [first_chunk, final_chunk]
+    sample_query.adapter.is_stream_output_supported = AsyncMock(return_value=True)
+    result = entities.StageProcessResult(
+        result_type=entities.ResultType.CONTINUE,
+        new_query=sample_query,
+        user_notice='StartingDone',
+    )
+
+    await runtime_pipeline._check_output(sample_query, result)
+
+    sample_query.adapter.reply_message_chunk.assert_awaited_once()
+    call = sample_query.adapter.reply_message_chunk.await_args.kwargs
+    assert call['bot_message'] is final_chunk
+    assert call['is_final'] is True
+
+
+@pytest.mark.asyncio
+async def test_response_back_stage_delivers_latest_chunk_as_final(mock_app, sample_query):
+    respback = import_module('langbot.pkg.pipeline.respback.respback')
+    provider_message = import_module('langbot_plugin.api.entities.builtin.provider.message')
+    platform_message = import_module('langbot_plugin.api.entities.builtin.platform.message')
+
+    first_chunk = provider_message.MessageChunk(role='assistant', content='Starting', is_final=False)
+    final_chunk = provider_message.MessageChunk(role='assistant', content='Done', is_final=True)
+    sample_query.resp_messages = [first_chunk, final_chunk]
+    sample_query.resp_message_chain = [platform_message.MessageChain([platform_message.Plain(text='StartingDone')])]
+    sample_query.pipeline_config['output']['force-delay'] = {'min': 0, 'max': 0}
+    sample_query.adapter.is_stream_output_supported = AsyncMock(return_value=True)
+
+    await respback.SendResponseBackStage(mock_app).process(sample_query, 'response-back')
+
+    sample_query.adapter.reply_message_chunk.assert_awaited_once()
+    call = sample_query.adapter.reply_message_chunk.await_args.kwargs
+    assert call['bot_message'] is final_chunk
+    assert call['is_final'] is True
+
+
+@pytest.mark.asyncio
+async def test_response_back_stage_keeps_consuming_after_stream_delivery_failure(mock_app, sample_query):
+    respback = import_module('langbot.pkg.pipeline.respback.respback')
+    provider_message = import_module('langbot_plugin.api.entities.builtin.provider.message')
+    platform_message = import_module('langbot_plugin.api.entities.builtin.platform.message')
+
+    chunk = provider_message.MessageChunk(role='assistant', content='Progress', is_final=False)
+    sample_query.resp_messages = [chunk]
+    sample_query.resp_message_chain = [platform_message.MessageChain([platform_message.Plain(text='Progress')])]
+    sample_query.pipeline_config['output']['force-delay'] = {'min': 0, 'max': 0}
+    sample_query.adapter.is_stream_output_supported = AsyncMock(return_value=True)
+    sample_query.adapter.reply_message_chunk.side_effect = RuntimeError('stream update failed')
+
+    result = await respback.SendResponseBackStage(mock_app).process(sample_query, 'response-back')
+
+    assert result.result_type.name == 'CONTINUE'
+    sample_query.adapter.reply_message.assert_not_awaited()
+
+
+@pytest.mark.asyncio
+async def test_response_back_stage_falls_back_to_plain_message_for_failed_final_chunk(mock_app, sample_query):
+    respback = import_module('langbot.pkg.pipeline.respback.respback')
+    provider_message = import_module('langbot_plugin.api.entities.builtin.provider.message')
+    platform_message = import_module('langbot_plugin.api.entities.builtin.platform.message')
+
+    chunk = provider_message.MessageChunk(role='assistant', content='Final answer', is_final=True)
+    sample_query.resp_messages = [chunk]
+    sample_query.resp_message_chain = [platform_message.MessageChain([platform_message.Plain(text='Final answer')])]
+    sample_query.pipeline_config['output']['force-delay'] = {'min': 0, 'max': 0}
+    sample_query.adapter.is_stream_output_supported = AsyncMock(return_value=True)
+    sample_query.adapter.reply_message_chunk.side_effect = RuntimeError('stream update failed')
+
+    result = await respback.SendResponseBackStage(mock_app).process(sample_query, 'response-back')
+
+    assert result.result_type.name == 'CONTINUE'
+    sample_query.adapter.reply_message.assert_awaited_once()
+
+
 def test_runtime_pipeline_prefers_runner_mcp_resources(mock_app):
     """Runner resource selection should override extension preferences."""
     pipelinemgr = get_pipelinemgr_module()

tests/unit_tests/pipeline/test_pool.py

@@ -199,6 +199,29 @@ class TestQueryPoolAddQuery:
             call_kwargs = MockQuery.call_args[1]
             assert call_kwargs['variables']['_routed_by_rule'] is True
 
+    async def test_add_query_merges_control_variables(self):
+        """Caller-provided control variables are preserved with routing metadata."""
+        pool = QueryPool()
+        mock_query = Mock(query_id=0)
+
+        with patch('langbot.pkg.pipeline.pool.pipeline_query.Query') as MockQuery:
+            MockQuery.return_value = mock_query
+            await pool.add_query(
+                bot_uuid='bot1',
+                launcher_type=Mock(),
+                launcher_id=1,
+                sender_id=1,
+                message_event=Mock(),
+                message_chain=Mock(),
+                adapter=Mock(),
+                routed_by_rule=True,
+                variables={'_interaction_submission': {'interaction_id': 'form-1'}},
+            )
+
+        variables = MockQuery.call_args.kwargs['variables']
+        assert variables['_routed_by_rule'] is True
+        assert variables['_interaction_submission'] == {'interaction_id': 'form-1'}
+
     async def test_add_query_notifier_condition(self):
         """add_query notifies waiting consumers."""
         pool = QueryPool()

tests/unit_tests/platform/test_dingtalk_eba_adapter.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import json
 import pathlib
 from types import SimpleNamespace
 from unittest.mock import AsyncMock, patch
@@ -13,6 +14,7 @@ from langbot.pkg.platform.adapters.dingtalk.adapter import DingTalkAdapter
 from langbot.pkg.platform.adapters.dingtalk.event_converter import DingTalkEventConverter
 from langbot.pkg.platform.adapters.dingtalk.message_converter import DingTalkMessageConverter
 from langbot.pkg.platform.adapters.dingtalk.platform_api import PLATFORM_API_MAP
+from langbot.pkg.platform.adapters.dingtalk.interaction import interaction_event_from_native
 from langbot_plugin.api.definition.abstract.platform.event_logger import AbstractEventLogger
 from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
 from langbot_plugin.api.entities.builtin.platform import events as platform_events
@@ -49,6 +51,7 @@ class DummyDingTalkClient(DingTalkClient):
         self.download_image = AsyncMock(return_value='data:image/png;base64,BBBB')
         self.create_and_card = AsyncMock(return_value=('card', 'card-id'))
         self.send_card_message = AsyncMock()
+        self.create_and_deliver_card = AsyncMock(return_value=True)
         self.start = AsyncMock()
         self.stop = AsyncMock()
 
@@ -71,7 +74,7 @@ def manifest() -> dict:
         / 'dingtalk'
         / 'manifest.yaml'
     )
-    return yaml.safe_load(manifest_path.read_text())
+    return yaml.safe_load(manifest_path.read_text(encoding='utf-8'))
 
 
 def make_adapter() -> DingTalkAdapter:
@@ -84,6 +87,7 @@ def make_adapter() -> DingTalkAdapter:
         'enable-stream-reply': False,
         'card_auto_layout': False,
         'card_template_id': 'template-id',
+        'human_input_card_template_id': 'human-input-template-id',
     }
     with patch('langbot.pkg.platform.adapters.dingtalk.adapter.DingTalkClient', DummyDingTalkClient):
         return DingTalkAdapter(config, DummyLogger())
@@ -157,6 +161,36 @@ def test_dingtalk_platform_api_map_matches_manifest():
     assert set(PLATFORM_API_MAP) == manifest_actions
 
 
+def test_dingtalk_human_input_card_template_matches_interaction_contract():
+    template_path = (
+        pathlib.Path(__file__).parents[3] / 'src' / 'langbot' / 'templates' / 'dingtalk_human_input_card.json'
+    )
+    exported_template = json.loads(template_path.read_text(encoding='utf-8'))
+    editor_data = json.loads(exported_template['editorData'])
+    variable_ids = {item['id'] for item in editor_data['variableList']}
+    serialized_editor = json.dumps(editor_data, ensure_ascii=False)
+
+    assert exported_template['type'] == 'im'
+    assert exported_template['mode'] == 'card'
+    assert {
+        'content',
+        'btns',
+        'input_visible',
+        'input_title',
+        'input_placeholder',
+        'input_value',
+        'select_visible',
+        'select_placeholder',
+        'select_options',
+        'select_index',
+        'index_o',
+    } <= variable_ids
+    assert '"componentName": "Input"' in serialized_editor
+    assert '"componentName": "SelectBlock"' in serialized_editor
+    assert '__built_in_inputResult__' in serialized_editor
+    assert '__built_in_selectResult__' in serialized_editor
+
+
 @pytest.mark.asyncio
 async def test_dingtalk_message_converter_maps_outbound_components():
     content, at = await DingTalkMessageConverter.yiri2target(
@@ -313,3 +347,178 @@ async def test_dingtalk_send_reply_and_platform_api_use_underlying_client():
 
     assert token_status == {'valid': True}
     assert file_url == {'url': 'https://example.test/file'}
+
+
+@pytest.mark.asyncio
+async def test_dingtalk_interaction_delivery_and_callback_event():
+    adapter = make_adapter()
+    result = await adapter.call_platform_api(
+        'interaction.request',
+        {
+            'callback_token': 'callback-token',
+            'reply_target': {'target_type': 'group', 'target_id': 'group-1'},
+            'request': {
+                'interaction_id': 'form-1',
+                'title': 'Approve?',
+                'actions': [{'id': 'approve', 'label': 'Approve', 'style': 'primary'}],
+                'fallback_text': 'Reply approve.',
+            },
+        },
+    )
+
+    assert result['rich'] is True
+    kwargs = adapter.bot.create_and_deliver_card.await_args.kwargs
+    assert kwargs['card_template_id'] == 'human-input-template-id'
+    assert kwargs['open_space_id'] == 'dtv1.card//IM_GROUP.group-1'
+    assert kwargs['card_param_map']['btns'][0]['event']['params']['actionId'] == 'lbi:callback-token:a:0'
+
+    native = dingtalk_card_callback_event(
+        content={'actionId': 'lbi:callback-token:a:0'},
+        space_id='dtv1.card//IM_GROUP.group-1',
+    )
+    event = interaction_event_from_native(native)
+    assert event.action == 'interaction.submitted'
+    assert event.data['action_ref'] == 0
+    assert event.data['actor_id'] == 'user-1'
+    assert event.data['target_id'] == 'group-1'
+
+
+@pytest.mark.asyncio
+async def test_dingtalk_native_input_uses_template_variables_and_submits_value():
+    adapter = make_adapter()
+    result = await adapter.call_platform_api(
+        'interaction.request',
+        {
+            'callback_token': 'callback-token',
+            'reply_target': {'target_type': 'group', 'target_id': 'group-1'},
+            'request': {
+                'interaction_id': 'form-1',
+                'title': 'Add context',
+                'fields': [
+                    {
+                        'id': 'comment',
+                        'label': 'Comment',
+                        'type': 'textarea',
+                        'required': True,
+                        'placeholder': 'Explain the decision',
+                    }
+                ],
+                'actions': [],
+                'fallback_text': 'Reply with a comment.',
+            },
+        },
+    )
+
+    params = adapter.bot.create_and_deliver_card.await_args.kwargs['card_param_map']
+    assert params['input_visible'] == 'true'
+    assert params['input_title'] == 'Comment'
+    assert params['input_placeholder'] == 'Explain the decision'
+    assert params['select_visible'] == ''
+    assert params['btns'] == []
+    assert result['message_id'] in adapter.interaction_callback_contexts
+
+    native = dingtalk_card_callback_event(
+        content={
+            'outTrackId': result['message_id'],
+            'params': {'input': 'Looks good'},
+        },
+        space_id='dtv1.card//IM_GROUP.group-1',
+    )
+    event = interaction_event_from_native(native, adapter.interaction_callback_contexts)
+
+    assert event.data['callback_token'] == 'callback-token'
+    assert event.data['values'] == {'comment': 'Looks good'}
+    assert result['message_id'] not in adapter.interaction_callback_contexts
+
+
+@pytest.mark.asyncio
+async def test_dingtalk_native_select_uses_select_block_and_normalizes_callback():
+    adapter = make_adapter()
+    result = await adapter.call_platform_api(
+        'interaction.request',
+        {
+            'callback_token': 'callback-token',
+            'reply_target': {'target_type': 'person', 'target_id': 'user-1'},
+            'request': {
+                'interaction_id': 'form-1',
+                'title': 'Priority',
+                'fields': [
+                    {
+                        'id': 'priority',
+                        'label': 'Priority',
+                        'type': 'select',
+                        'options': [
+                            {'value': 'normal', 'label': 'Normal'},
+                            {'value': 'urgent', 'label': 'Urgent'},
+                        ],
+                    }
+                ],
+                'actions': [],
+                'fallback_text': 'Choose a priority.',
+            },
+        },
+    )
+
+    params = adapter.bot.create_and_deliver_card.await_args.kwargs['card_param_map']
+    assert params['select_visible'] == 'true'
+    assert [option['value'] for option in params['index_o']] == ['normal', 'urgent']
+    assert params['input_visible'] == ''
+
+    native = dingtalk_card_callback_event(
+        content={
+            'out_track_id': result['message_id'],
+            'params': {'select': '{"index": 1, "value": "urgent"}'},
+        },
+        space_id='dtv1.card//IM_ROBOT.user-1',
+    )
+    event = interaction_event_from_native(native, adapter.interaction_callback_contexts)
+
+    assert event.data['target_type'] == 'person'
+    assert event.data['target_id'] == 'user-1'
+    assert event.data['values'] == {'priority': 'urgent'}
+
+
+@pytest.mark.asyncio
+async def test_dingtalk_adapter_dispatches_native_input_submission():
+    adapter = make_adapter()
+    calls: list[platform_events.Event] = []
+
+    async def listener(event, adapter):
+        calls.append(event)
+
+    adapter.register_listener(platform_events.PlatformSpecificEvent, listener)
+    result = await adapter.call_platform_api(
+        'interaction.request',
+        {
+            'callback_token': 'callback-token',
+            'reply_target': {'target_type': 'group', 'target_id': 'group-1'},
+            'request': {
+                'interaction_id': 'form-1',
+                'title': 'Score',
+                'fields': [
+                    {
+                        'id': 'score',
+                        'label': 'Score',
+                        'type': 'number',
+                    }
+                ],
+                'actions': [],
+                'fallback_text': 'Reply with a score.',
+            },
+        },
+    )
+    native = dingtalk_card_callback_event(
+        content={
+            'outTrackId': result['message_id'],
+            'params': {'inputResult': '42.5'},
+        },
+        space_id='dtv1.card//IM_GROUP.group-1',
+    )
+
+    await adapter._handle_native_event(native)
+
+    assert len(calls) == 1
+    assert calls[0].action == 'interaction.submitted'
+    assert calls[0].data['callback_token'] == 'callback-token'
+    assert calls[0].data['values'] == {'score': 42.5}
+    assert result['message_id'] not in adapter.interaction_callback_contexts

tests/unit_tests/platform/test_discord_eba_adapter.py

@@ -13,6 +13,11 @@ import langbot.pkg.platform.adapters.discord.adapter as discord_adapter_module
 from langbot.pkg.platform.adapters.discord.event_converter import DiscordEventConverter
 from langbot.pkg.platform.adapters.discord.message_converter import DiscordMessageConverter
 from langbot.pkg.platform.adapters.discord.platform_api import PLATFORM_API_MAP
+from langbot.pkg.platform.adapters.discord.interaction import (
+    build_interaction_view,
+    interaction_event_from_component,
+    parse_interaction_custom_id,
+)
 from langbot_plugin.api.definition.abstract.platform.event_logger import AbstractEventLogger
 from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
 from langbot_plugin.api.entities.builtin.platform import events as platform_events
@@ -48,7 +53,7 @@ def manifest() -> dict:
         / 'discord'
         / 'manifest.yaml'
     )
-    return yaml.safe_load(manifest_path.read_text())
+    return yaml.safe_load(manifest_path.read_text(encoding='utf-8'))
 
 
 def test_discord_supported_events_match_manifest():
@@ -68,6 +73,64 @@ def test_discord_platform_api_map_matches_manifest():
     assert set(PLATFORM_API_MAP) == manifest_actions
 
 
+def test_discord_interaction_custom_id_parser_uses_host_indexes():
+    assert parse_interaction_custom_id('lbi:token:a:2') == {
+        'callback_token': 'token',
+        'action_ref': 2,
+    }
+    assert parse_interaction_custom_id('lbi:token:f:0:3') == {
+        'callback_token': 'token',
+        'field_ref': 0,
+        'option_ref': 3,
+    }
+
+
+@pytest.mark.asyncio
+async def test_discord_interaction_view_and_delivery():
+    adapter = make_adapter()
+    channel = SimpleNamespace(send=AsyncMock(return_value=SimpleNamespace(id=321)))
+    adapter._get_channel = AsyncMock(return_value=channel)
+    request = {
+        'interaction_id': 'form-1',
+        'title': 'Approve?',
+        'actions': [{'id': 'approve', 'label': 'Approve', 'style': 'primary'}],
+        'fallback_text': 'Reply approve.',
+    }
+
+    view = build_interaction_view(request, 'callback-token')
+    assert view.children[0].custom_id == 'lbi:callback-token:a:0'
+
+    result = await adapter.call_platform_api(
+        'interaction.request',
+        {
+            'request': request,
+            'callback_token': 'callback-token',
+            'reply_target': {'target_type': 'group', 'target_id': '789'},
+        },
+    )
+
+    assert result == {'ok': True, 'message_id': 321, 'rich': True}
+    assert channel.send.await_args.kwargs['view'].children[0].label == 'Approve'
+
+
+def test_discord_interaction_component_builds_scoped_host_event():
+    interaction = SimpleNamespace(
+        user=SimpleNamespace(id=123),
+        channel=SimpleNamespace(id=789),
+        guild=SimpleNamespace(id=456),
+    )
+
+    event = interaction_event_from_component(
+        interaction,
+        {'callback_token': 'callback-token', 'action_ref': 0},
+    )
+
+    assert event.action == 'interaction.submitted'
+    assert event.data['actor_id'] == '123'
+    assert event.data['target_type'] == 'group'
+    assert event.data['target_id'] == '789'
+
+
 @pytest.mark.asyncio
 async def test_discord_adapter_dispatches_most_specific_eba_listener():
     adapter = make_adapter()

tests/unit_tests/platform/test_lark_eba_adapter.py

@@ -1,9 +1,11 @@
 from __future__ import annotations
 
+import json
 import pathlib
 import asyncio
+import time
 from types import SimpleNamespace
-from unittest.mock import AsyncMock, patch
+from unittest.mock import AsyncMock, MagicMock, patch
 
 import pytest
 import yaml
@@ -12,6 +14,11 @@ from langbot.pkg.platform.adapters.lark.adapter import LarkAdapter
 from langbot.pkg.platform.adapters.lark.event_converter import LarkEventConverter
 from langbot.pkg.platform.adapters.lark.message_converter import LarkMessageConverter
 from langbot.pkg.platform.adapters.lark.platform_api import PLATFORM_API_MAP
+from langbot.pkg.platform.adapters.lark.interaction import (
+    build_interaction_card,
+    interaction_delivery_capabilities,
+    interaction_event_from_callback,
+)
 from langbot_plugin.api.definition.abstract.platform.event_logger import AbstractEventLogger
 from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
 from langbot_plugin.api.entities.builtin.platform import events as platform_events
@@ -66,6 +73,7 @@ class DummyAPIClient:
                 message=SimpleNamespace(
                     acreate=AsyncMock(return_value=DummyResponse()),
                     areply=AsyncMock(return_value=DummyResponse()),
+                    aupdate=AsyncMock(return_value=DummyResponse()),
                     aget=AsyncMock(return_value=DummyResponse(SimpleNamespace(items=[]))),
                 ),
                 chat=SimpleNamespace(
@@ -89,8 +97,12 @@ class DummyAPIClient:
         )
         self.cardkit = SimpleNamespace(
             v1=SimpleNamespace(
-                card=SimpleNamespace(create=AsyncMock(return_value=DummyResponse(SimpleNamespace(card_id='card-id')))),
-                card_element=SimpleNamespace(content=AsyncMock(return_value=DummyResponse())),
+                card=SimpleNamespace(
+                    create=MagicMock(return_value=DummyResponse(SimpleNamespace(card_id='card-id'))),
+                    acreate=AsyncMock(return_value=DummyResponse(SimpleNamespace(card_id='card-id'))),
+                    aupdate=AsyncMock(return_value=DummyResponse()),
+                ),
+                card_element=SimpleNamespace(content=MagicMock(return_value=DummyResponse())),
             )
         )
 
@@ -114,7 +126,7 @@ def manifest() -> dict:
         / 'lark'
         / 'manifest.yaml'
     )
-    return yaml.safe_load(path.read_text())
+    return yaml.safe_load(path.read_text(encoding='utf-8'))
 
 
 def make_adapter(config: dict | None = None) -> LarkAdapter:
@@ -324,3 +336,550 @@ async def test_lark_send_reply_platform_api_and_modes():
     with pytest.raises(asyncio.CancelledError):
         await task
     webhook_adapter.bot._connect.assert_not_awaited()
+
+
+def test_lark_interaction_card_uses_host_callback_token_and_indexes():
+    card = build_interaction_card(
+        {
+            'title': 'Approve?',
+            'actions': [{'id': 'approve', 'label': 'Approve', 'style': 'primary'}],
+        },
+        'callback-token',
+        {'target_type': 'group', 'target_id': 'chat-1'},
+    )
+
+    assert card['schema'] == '2.0'
+    button = card['body']['elements'][-1]['columns'][0]['elements'][0]
+    assert button['behaviors'][0]['value'] == {'lbi': 'callback-token', 't': 'group', 'ck': 1, 'a': 0}
+
+
+def test_lark_interaction_card_uses_native_text_input_form():
+    card = build_interaction_card(
+        {
+            'title': 'Add context',
+            'fields': [
+                {
+                    'id': 'comment',
+                    'label': 'Comment',
+                    'type': 'textarea',
+                    'required': True,
+                    'placeholder': 'Explain the decision',
+                }
+            ],
+            'actions': [],
+        },
+        'callback-token',
+        {'target_type': 'group', 'target_id': 'chat-1'},
+    )
+
+    form = next(element for element in card['body']['elements'] if element['tag'] == 'form')
+    field, submit = form['elements']
+    assert field['tag'] == 'input'
+    assert field['input_type'] == 'multiline_text'
+    assert field['required'] is True
+    assert submit['form_action_type'] == 'submit'
+    assert submit['behaviors'][0]['value'] == {
+        'lbi': 'callback-token',
+        't': 'group',
+        'ck': 1,
+        'fm': {'lbi_field_0': 'comment'},
+        'ft': {'comment': 'textarea'},
+    }
+
+
+def test_lark_interaction_card_uses_native_select_and_declares_fields():
+    card = build_interaction_card(
+        {
+            'title': 'Priority',
+            'fields': [
+                {
+                    'id': 'priority',
+                    'label': 'Priority',
+                    'type': 'select',
+                    'required': True,
+                    'options': [
+                        {'value': 'normal', 'label': 'Normal'},
+                        {'value': 'urgent', 'label': 'Urgent'},
+                    ],
+                }
+            ],
+            'actions': [],
+        },
+        'callback-token',
+        {'target_type': 'person', 'target_id': 'user-1'},
+    )
+
+    form = next(element for element in card['body']['elements'] if element['tag'] == 'form')
+    label, select, submit = form['elements']
+    assert label == {'tag': 'markdown', 'content': '**Priority***'}
+    assert select['tag'] == 'select_static'
+    assert [option['value'] for option in select['options']] == ['normal', 'urgent']
+    assert submit['form_action_type'] == 'submit'
+    assert interaction_delivery_capabilities()['field_types'] == ['text', 'textarea', 'number', 'select']
+    assert interaction_delivery_capabilities()['supports_updates'] is True
+
+
+@pytest.mark.asyncio
+async def test_lark_interaction_request_sends_interactive_message():
+    adapter = make_adapter()
+
+    result = await adapter.call_platform_api(
+        'interaction.request',
+        {
+            'callback_token': 'callback-token',
+            'reply_target': {'target_type': 'person', 'target_id': 'user-1'},
+            'request': {
+                'interaction_id': 'form-1',
+                'title': 'Approve?',
+                'actions': [{'id': 'approve', 'label': 'Approve'}],
+                'fallback_text': 'Reply approve.',
+            },
+        },
+    )
+
+    assert result['rich'] is True
+    assert result['card_id'] == 'card-id'
+    adapter.api_client.cardkit.v1.card.acreate.assert_awaited_once()
+    request = adapter.api_client.im.v1.message.acreate.await_args.args[0]
+    assert request.receive_id_type == 'open_id'
+    assert request.request_body.msg_type == 'interactive'
+    assert json.loads(request.request_body.content) == {'type': 'card', 'data': {'card_id': 'card-id'}}
+
+
+@pytest.mark.asyncio
+async def test_lark_interaction_request_updates_existing_message():
+    adapter = make_adapter()
+
+    result = await adapter.call_platform_api(
+        'interaction.request',
+        {
+            'callback_token': 'next-token',
+            'reply_target': {'target_type': 'person', 'target_id': 'user-1'},
+            'update_target': {
+                'message_id': 'card-message-1',
+                'card_id': 'card-id',
+                'sequence': 0,
+                'rich': True,
+            },
+            'request': {
+                'interaction_id': 'form-2',
+                'title': 'Choose action',
+                'actions': [{'id': 'approve', 'label': 'Approve'}],
+                'fallback_text': 'Reply approve.',
+            },
+        },
+    )
+
+    assert result == {
+        'ok': True,
+        'message_id': 'card-message-1',
+        'card_id': 'card-id',
+        'sequence': 1,
+        'rich': True,
+        'updated': True,
+    }
+    adapter.api_client.im.v1.message.acreate.assert_not_awaited()
+    update_request = adapter.api_client.cardkit.v1.card.aupdate.await_args.args[0]
+    assert update_request.card_id == 'card-id'
+    assert update_request.request_body.sequence == 1
+    card = json.loads(update_request.request_body.card.data)
+    assert card['header']['title']['content'] == 'Choose action'
+    button = card['body']['elements'][-1]['columns'][0]['elements'][0]
+    assert button['behaviors'][0]['value']['lbi'] == 'next-token'
+
+
+@pytest.mark.asyncio
+async def test_lark_interaction_acknowledge_replaces_controls_with_summary():
+    adapter = make_adapter()
+
+    result = await adapter.call_platform_api(
+        'interaction.acknowledge',
+        {
+            'update_target': {
+                'message_id': 'card-message-1',
+                'card_id': 'card-id',
+                'sequence': 0,
+                'rich': True,
+            },
+            'request': {
+                'title': 'Manual review',
+                'fields': [{'id': 'comment', 'label': 'Comment'}],
+            },
+            'submission': {'values': {'comment': 'Looks good'}},
+        },
+    )
+
+    assert result['updated'] is True
+    update_request = adapter.api_client.cardkit.v1.card.aupdate.await_args.args[0]
+    card = json.loads(update_request.request_body.card.data)
+    content = card['body']['elements'][-1]['content']
+    assert content == '✅ Comment：Looks good'
+
+
+@pytest.mark.asyncio
+async def test_lark_interaction_keeps_prior_values_through_next_action_and_final_acknowledgement():
+    adapter = make_adapter()
+    update_target = {
+        'message_id': 'card-message-1',
+        'card_id': 'card-id',
+        'sequence': 1,
+        'rich': True,
+        'submitted_values': [{'label': 'Question', 'value': '123'}],
+    }
+
+    action_result = await adapter.call_platform_api(
+        'interaction.request',
+        {
+            'callback_token': 'next-token',
+            'reply_target': {'target_type': 'person', 'target_id': 'user-1'},
+            'update_target': update_target,
+            'request': {
+                'interaction_id': 'action-1',
+                'title': 'Manual review',
+                'actions': [{'id': 'or', 'label': 'or'}],
+                'fallback_text': 'Reply or.',
+            },
+        },
+    )
+
+    action_update = adapter.api_client.cardkit.v1.card.aupdate.await_args.args[0]
+    action_card = json.loads(action_update.request_body.card.data)
+    assert '✅ Question：123' in action_card['body']['elements'][0]['content']
+    assert action_result['submitted_values'] == [{'label': 'Question', 'value': '123'}]
+
+    final_result = await adapter.call_platform_api(
+        'interaction.acknowledge',
+        {
+            'update_target': action_result,
+            'request': {
+                'title': 'Manual review',
+                'actions': [{'id': 'or', 'label': 'or'}],
+            },
+            'submission': {'action_id': 'or', 'values': {}},
+        },
+    )
+
+    final_update = adapter.api_client.cardkit.v1.card.aupdate.await_args.args[0]
+    final_card = json.loads(final_update.request_body.card.data)
+    final_content = final_card['body']['elements'][-1]['content']
+    assert '✅ Action：or' in final_content
+    assert '✅ Question：123' in final_card['body']['elements'][0]['content']
+    assert final_result['submitted_values'] == [
+        {'label': 'Question', 'value': '123'},
+        {'label': 'Action', 'value': 'or'},
+    ]
+
+
+def test_lark_dify_layout_keeps_prompts_next_to_submitted_values():
+    prior_values = [
+        {
+            'description': '11\n请输入你的问题',
+            'label': 'us_input',
+            'value': '回复我你好',
+        }
+    ]
+    select_card = build_interaction_card(
+        {
+            'title': '人工介入',
+            'description': '请选择你的答案',
+            'fields': [
+                {
+                    'id': 'field_2',
+                    'label': 'xiala',
+                    'type': 'select',
+                    'options': [
+                        {'value': '1', 'label': '1'},
+                        {'value': '2', 'label': '2'},
+                    ],
+                }
+            ],
+            'actions': [],
+        },
+        'callback-token',
+        {'target_type': 'person', 'target_id': 'user-1'},
+        prior_values,
+    )
+
+    select_elements = select_card['body']['elements']
+    assert select_elements[0]['content'] == '11\n请输入你的问题\n✅ us_input：回复我你好'
+    assert select_elements[1]['content'] == '请选择你的答案'
+    assert select_elements[2]['tag'] == 'form'
+
+    action_card = build_interaction_card(
+        {
+            'title': '人工介入',
+            'description': None,
+            'fields': [],
+            'actions': [{'id': 'action_1', 'label': 'or'}],
+        },
+        'callback-token',
+        {'target_type': 'person', 'target_id': 'user-1'},
+        [
+            *prior_values,
+            {
+                'description': '请选择你的答案',
+                'label': 'xiala',
+                'value': '1',
+            },
+        ],
+    )
+
+    action_elements = action_card['body']['elements']
+    assert [element['content'] for element in action_elements[:2]] == [
+        '11\n请输入你的问题\n✅ us_input：回复我你好',
+        '请选择你的答案\n✅ xiala：1',
+    ]
+    assert action_elements[2]['columns'][0]['elements'][0]['text']['content'] == 'or'
+
+
+def test_lark_message_id_from_card_callback_source():
+    adapter = make_adapter()
+    callback_source = SimpleNamespace(
+        event=SimpleNamespace(context=SimpleNamespace(open_message_id='card-message-1')),
+    )
+
+    assert (
+        adapter._message_id_from_source(SimpleNamespace(message_id=None, source_platform_object=callback_source))
+        == 'card-message-1'
+    )
+    assert (
+        adapter._message_id_from_source(
+            SimpleNamespace(
+                message_id=None,
+                source_platform_object={'event': {'context': {'open_message_id': 'webhook-message-1'}}},
+            )
+        )
+        == 'webhook-message-1'
+    )
+
+
+@pytest.mark.asyncio
+async def test_lark_streaming_card_uses_strictly_increasing_sequences():
+    adapter = make_adapter()
+    adapter.card_id_dict['response-1'] = 'stream-card-1'
+    adapter.card_sequence_dict['stream-card-1'] = 0
+    adapter.message_converter.yiri2target = AsyncMock(return_value=([[{'tag': 'text', 'text': 'answer'}]], []))
+    bot_message = SimpleNamespace(resp_message_id='response-1', msg_sequence=1, tool_calls=None)
+    source = SimpleNamespace(source_platform_object=None)
+    message = platform_message.MessageChain([platform_message.Plain(text='answer')])
+
+    await adapter.reply_message_chunk(source, bot_message, message)
+    first_request = adapter.api_client.cardkit.v1.card_element.content.call_args.args[0]
+    assert first_request.request_body.sequence == 1
+
+    bot_message.msg_sequence = 2
+    await adapter.reply_message_chunk(source, bot_message, message)
+    assert adapter.api_client.cardkit.v1.card_element.content.call_count == 1
+
+    bot_message.msg_sequence = 8
+    await adapter.reply_message_chunk(source, bot_message, message)
+    second_request = adapter.api_client.cardkit.v1.card_element.content.call_args.args[0]
+    assert second_request.request_body.sequence == 2
+
+    bot_message.msg_sequence = 9
+    await adapter.reply_message_chunk(source, bot_message, message, is_final=True)
+    final_request = adapter.api_client.cardkit.v1.card_element.content.call_args.args[0]
+    assert final_request.request_body.sequence == 3
+    assert 'response-1' not in adapter.card_id_dict
+    assert 'stream-card-1' not in adapter.card_sequence_dict
+    assert 'stream-card-1' not in adapter.card_last_update_dict
+
+
+@pytest.mark.asyncio
+async def test_lark_streaming_card_updates_sparse_chunks_without_waiting_for_eighth():
+    adapter = make_adapter()
+    adapter.card_id_dict['response-1'] = 'stream-card-1'
+    adapter.card_sequence_dict['stream-card-1'] = 1
+    adapter.card_last_update_dict['stream-card-1'] = time.monotonic() - 2
+    adapter.message_converter.yiri2target = AsyncMock(return_value=([[{'tag': 'text', 'text': 'new progress'}]], []))
+    bot_message = SimpleNamespace(resp_message_id='response-1', msg_sequence=2, tool_calls=None)
+    source = SimpleNamespace(source_platform_object=None)
+    message = platform_message.MessageChain([platform_message.Plain(text='new progress')])
+
+    await adapter.reply_message_chunk(source, bot_message, message)
+
+    request = adapter.api_client.cardkit.v1.card_element.content.call_args.args[0]
+    assert request.request_body.sequence == 2
+
+
+@pytest.mark.asyncio
+async def test_lark_streaming_card_uses_cumulative_runner_content():
+    adapter = make_adapter()
+    adapter.card_id_dict['response-1'] = 'stream-card-1'
+    adapter.card_sequence_dict['stream-card-1'] = 0
+    adapter.message_converter.yiri2target = AsyncMock(
+        return_value=([[{'tag': 'text', 'text': 'latest chunk only'}]], [])
+    )
+    bot_message = SimpleNamespace(
+        resp_message_id='response-1',
+        msg_sequence=2,
+        all_content='first chunk\n\nlatest chunk only',
+        tool_calls=None,
+    )
+    source = SimpleNamespace(source_platform_object=None)
+    message = platform_message.MessageChain([platform_message.Plain(text='latest chunk only')])
+
+    await adapter.reply_message_chunk(source, bot_message, message)
+
+    request = adapter.api_client.cardkit.v1.card_element.content.call_args.args[0]
+    assert request.request_body.content == 'first chunk\n\nlatest chunk only'
+    adapter.message_converter.yiri2target.assert_not_awaited()
+
+
+@pytest.mark.asyncio
+async def test_lark_streaming_card_first_real_runner_chunk_uses_sequence_one():
+    adapter = make_adapter()
+    adapter.card_id_dict['response-1'] = 'stream-card-1'
+    adapter.card_sequence_dict['stream-card-1'] = 0
+    adapter.message_converter.yiri2target = AsyncMock(return_value=([[{'tag': 'text', 'text': 'answer'}]], []))
+    bot_message = SimpleNamespace(resp_message_id='response-1', msg_sequence=1, tool_calls=None)
+    source = SimpleNamespace(source_platform_object=None)
+    message = platform_message.MessageChain([platform_message.Plain(text='answer')])
+
+    await adapter.reply_message_chunk(source, bot_message, message, is_final=True)
+
+    request = adapter.api_client.cardkit.v1.card_element.content.call_args.args[0]
+    assert request.request_body.sequence == 1
+
+
+@pytest.mark.asyncio
+async def test_lark_streaming_card_falls_back_to_full_card_update_when_stream_closes():
+    adapter = make_adapter()
+    adapter.card_id_dict['response-1'] = 'stream-card-1'
+    adapter.card_sequence_dict['stream-card-1'] = 1
+    adapter.card_last_update_dict['stream-card-1'] = time.monotonic() - 2
+    closed_response = DummyResponse(ok=False)
+    closed_response.code = 300309
+    closed_response.msg = 'streaming mode is closed'
+    adapter.api_client.cardkit.v1.card_element.content.return_value = closed_response
+    adapter.message_converter.yiri2target = AsyncMock(
+        return_value=([[{'tag': 'text', 'text': 'continued progress'}]], [])
+    )
+    bot_message = SimpleNamespace(resp_message_id='response-1', msg_sequence=2, tool_calls=None)
+    source = SimpleNamespace(source_platform_object=None)
+    message = platform_message.MessageChain([platform_message.Plain(text='continued progress')])
+
+    await adapter.reply_message_chunk(source, bot_message, message)
+
+    update_request = adapter.api_client.cardkit.v1.card.aupdate.await_args.args[0]
+    updated_card = json.loads(update_request.request_body.card.data)
+    assert update_request.request_body.sequence == 3
+    assert updated_card['config'] == {'update_multi': True}
+    assert updated_card['body']['elements'][0]['content'] == 'continued progress'
+    assert 'stream-card-1' in adapter.closed_streaming_cards
+
+    bot_message.msg_sequence = 3
+    adapter.card_last_update_dict['stream-card-1'] = time.monotonic() - 2
+    await adapter.reply_message_chunk(source, bot_message, message, is_final=True)
+
+    assert adapter.api_client.cardkit.v1.card_element.content.call_count == 1
+    assert adapter.api_client.cardkit.v1.card.aupdate.await_count == 2
+    assert 'stream-card-1' not in adapter.closed_streaming_cards
+
+
+def test_lark_interaction_callback_builds_scoped_host_event():
+    callback = SimpleNamespace(
+        event=SimpleNamespace(
+            action=SimpleNamespace(value={'lbi': 'callback-token', 't': 'group', 'a': 1}),
+            operator=SimpleNamespace(open_id='user-1'),
+            context=SimpleNamespace(open_chat_id='chat-1', open_message_id='card-message-1'),
+        )
+    )
+
+    event = interaction_event_from_callback(callback)
+
+    assert event.action == 'interaction.submitted'
+    assert event.data['callback_token'] == 'callback-token'
+    assert event.data['action_ref'] == 1
+    assert event.data['actor_id'] == 'user-1'
+    assert event.data['target_id'] == 'chat-1'
+    assert event.data['message_id'] == 'card-message-1'
+
+
+def test_lark_native_form_callback_submits_typed_field_value():
+    callback = SimpleNamespace(
+        event=SimpleNamespace(
+            action=SimpleNamespace(
+                value={
+                    'lbi': 'callback-token',
+                    't': 'person',
+                    'fm': {'lbi_field_0': 'score'},
+                    'ft': {'score': 'number'},
+                },
+                form_value={'lbi_field_0': '42.5'},
+            ),
+            operator=SimpleNamespace(open_id='user-1'),
+            context=SimpleNamespace(open_chat_id='chat-1'),
+        )
+    )
+
+    event = interaction_event_from_callback(callback)
+
+    assert event.data['callback_token'] == 'callback-token'
+    assert event.data['target_type'] == 'person'
+    assert event.data['target_id'] == 'user-1'
+    assert event.data['values'] == {'score': 42.5}
+
+
+@pytest.mark.asyncio
+async def test_lark_webhook_dispatches_native_form_submission():
+    adapter = make_adapter({'enable-webhook': True})
+    calls: list[platform_events.Event] = []
+
+    async def listener(event, adapter):
+        calls.append(event)
+
+    adapter.register_listener(platform_events.PlatformSpecificEvent, listener)
+    payload = {
+        'schema': '2.0',
+        'header': {'event_type': 'card.action.trigger'},
+        'event': {
+            'action': {
+                'value': {
+                    'lbi': 'callback-token',
+                    't': 'group',
+                    'fm': {'lbi_field_0': 'comment'},
+                    'ft': {'comment': 'textarea'},
+                },
+                'form_value': {'lbi_field_0': 'Looks good'},
+            },
+            'operator': {'open_id': 'user-1'},
+            'context': {'open_chat_id': 'chat-1', 'open_message_id': 'card-message-1'},
+        },
+    }
+    request = SimpleNamespace(json=asyncio.sleep(0, result=payload))
+
+    response = await adapter.handle_unified_webhook('bot-1', '', request)
+
+    assert response['toast'] == {'type': 'success', 'content': 'Submitted / 已提交'}
+    assert response['card']['type'] == 'raw'
+    assert response['card']['data']['elements'][0]['text']['content'] == '**Submitted / 已提交**'
+    assert len(calls) == 1
+    assert calls[0].action == 'interaction.submitted'
+    assert calls[0].data['callback_token'] == 'callback-token'
+    assert calls[0].data['values'] == {'comment': 'Looks good'}
+    assert calls[0].data['message_id'] == 'card-message-1'
+
+
+@pytest.mark.asyncio
+async def test_lark_webhook_cardkit_submission_uses_async_card_update_only():
+    adapter = make_adapter({'enable-webhook': True})
+
+    async def listener(event, adapter):
+        pass
+
+    adapter.register_listener(platform_events.PlatformSpecificEvent, listener)
+    payload = {
+        'schema': '2.0',
+        'header': {'event_type': 'card.action.trigger'},
+        'event': {
+            'action': {'value': {'lbi': 'callback-token', 't': 'group', 'ck': 1, 'a': 0}},
+            'operator': {'open_id': 'user-1'},
+            'context': {'open_chat_id': 'chat-1', 'open_message_id': 'card-message-1'},
+        },
+    }
+    request = SimpleNamespace(json=asyncio.sleep(0, result=payload))
+
+    response = await adapter.handle_unified_webhook('bot-1', '', request)
+
+    assert response == {'toast': {'type': 'success', 'content': 'Submitted / 已提交'}}

tests/unit_tests/platform/test_qqofficial_eba_adapter.py

@@ -13,6 +13,10 @@ from langbot.pkg.platform.adapters.qqofficial.errors import NotSupportedError
 from langbot.pkg.platform.adapters.qqofficial.event_converter import QQOfficialEventConverter
 from langbot.pkg.platform.adapters.qqofficial.message_converter import QQOfficialMessageConverter
 from langbot.pkg.platform.adapters.qqofficial.platform_api import PLATFORM_API_MAP
+from langbot.pkg.platform.adapters.qqofficial.interaction import (
+    build_interaction_keyboard,
+    interaction_event_from_payload,
+)
 from langbot_plugin.api.definition.abstract.platform.event_logger import AbstractEventLogger
 from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
 from langbot_plugin.api.entities.builtin.platform import events as platform_events
@@ -49,6 +53,9 @@ class DummyQQOfficialClient:
         self.access_token_expiry_time = None
         self.handle_unified_webhook = AsyncMock(return_value='success')
         self.connect_gateway_loop = AsyncMock()
+        self.send_markdown_keyboard = AsyncMock(return_value={'id': 'keyboard-message'})
+        self.ack_interaction = AsyncMock()
+        self._interaction_handler = None
 
     def on_message(self, msg_type: str):
         def decorator(func):
@@ -57,6 +64,13 @@ class DummyQQOfficialClient:
 
         return decorator
 
+    def on_interaction(self):
+        def decorator(func):
+            self._interaction_handler = func
+            return func
+
+        return decorator
+
     async def check_access_token(self):
         return bool(self.access_token)
 
@@ -111,7 +125,7 @@ def manifest() -> dict:
         / 'qqofficial'
         / 'manifest.yaml'
     )
-    return yaml.safe_load(manifest_path.read_text())
+    return yaml.safe_load(manifest_path.read_text(encoding='utf-8'))
 
 
 def make_adapter(enable_webhook: bool = True) -> QQOfficialAdapter:
@@ -164,6 +178,54 @@ def test_qqofficial_platform_api_map_matches_manifest():
     assert set(PLATFORM_API_MAP) == manifest_actions
 
 
+def test_qqofficial_interaction_keyboard_contains_only_host_token_and_index():
+    keyboard = build_interaction_keyboard(
+        {'actions': [{'id': 'approve', 'label': 'Approve', 'style': 'primary'}]},
+        'callback-token',
+    )
+
+    button = keyboard['content']['rows'][0]['buttons'][0]
+    assert button['action']['data'] == 'lbi:callback-token:a:0'
+
+
+@pytest.mark.asyncio
+async def test_qqofficial_interaction_delivery_and_callback_event():
+    adapter = make_adapter()
+    result = await adapter.call_platform_api(
+        'interaction.request',
+        {
+            'callback_token': 'callback-token',
+            'reply_target': {
+                'target_type': 'group',
+                'target_id': 'group-openid',
+                'message_id': 'msg-1',
+            },
+            'request': {
+                'interaction_id': 'form-1',
+                'title': 'Approve?',
+                'actions': [{'id': 'approve', 'label': 'Approve'}],
+                'fallback_text': 'Reply approve.',
+            },
+        },
+    )
+
+    assert result == {'ok': True, 'message_id': 'keyboard-message', 'rich': True}
+    assert adapter.bot.send_markdown_keyboard.await_args.kwargs['msg_id'] == 'msg-1'
+
+    event = interaction_event_from_payload(
+        {
+            'id': 'interaction-id',
+            'chat_type': 1,
+            'group_openid': 'group-openid',
+            'member_openid': 'user-openid',
+            'data': {'resolved': {'button_data': 'lbi:callback-token:a:0'}},
+        }
+    )
+    assert event.action == 'interaction.submitted'
+    assert event.data['action_ref'] == 0
+    assert event.data['actor_id'] == 'user-openid'
+
+
 @pytest.mark.asyncio
 async def test_qqofficial_message_converter_maps_common_components_to_send_payloads():
     payload = await QQOfficialMessageConverter.yiri2target(

tests/unit_tests/platform/test_routing_rules.py

@@ -73,7 +73,7 @@ class TestEventRouteTrace:
 
         captured_envelopes = []
 
-        async def fake_run(envelope, binding):
+        async def fake_run(envelope, binding, adapter_context=None):
             captured_envelopes.append(envelope)
             yield provider_message.Message(role='assistant', content='test response')
 
@@ -157,7 +157,7 @@ class TestEventRouteTrace:
         }
         runner_calls = []
 
-        async def fake_run(envelope, binding):
+        async def fake_run(envelope, binding, adapter_context=None):
             runner_calls.append((envelope, binding))
             if False:
                 yield None
@@ -378,6 +378,53 @@ class TestRuntimeBotLifecycle:
         bot.adapter.kill.assert_awaited_once()
         task_mgr.cancel_task.assert_not_called()
 
+    @pytest.mark.asyncio
+    async def test_initialize_uses_only_eba_message_listener_for_eba_adapter(self):
+        """An EBA-native message must not also enter through the legacy compatibility listener."""
+        from langbot.pkg.platform.botmgr import RuntimeBot
+        from langbot_plugin.api.entities.builtin.platform import events as platform_events
+
+        listeners = {}
+        adapter = SimpleNamespace(
+            get_supported_events=Mock(return_value=['message.received']),
+            register_listener=Mock(side_effect=lambda event_type, callback: listeners.setdefault(event_type, callback)),
+        )
+        bot = RuntimeBot(
+            ap=SimpleNamespace(),
+            bot_entity=SimpleNamespace(enable=True),
+            adapter=adapter,
+            logger=Mock(),
+        )
+
+        await bot.initialize()
+
+        assert platform_events.EBAEvent in listeners
+        assert platform_events.FriendMessage not in listeners
+        assert platform_events.GroupMessage not in listeners
+
+    @pytest.mark.asyncio
+    async def test_initialize_keeps_legacy_message_listeners_for_legacy_adapter(self):
+        """Adapters without EBA message support retain the compatibility entry path."""
+        from langbot.pkg.platform.botmgr import RuntimeBot
+        from langbot_plugin.api.entities.builtin.platform import events as platform_events
+
+        listeners = {}
+        adapter = SimpleNamespace(
+            register_listener=Mock(side_effect=lambda event_type, callback: listeners.setdefault(event_type, callback)),
+        )
+        bot = RuntimeBot(
+            ap=SimpleNamespace(),
+            bot_entity=SimpleNamespace(enable=True),
+            adapter=adapter,
+            logger=Mock(),
+        )
+
+        await bot.initialize()
+
+        assert platform_events.FriendMessage in listeners
+        assert platform_events.GroupMessage in listeners
+        assert platform_events.EBAEvent in listeners
+
 
 class TestEBAEventBindings:
     """Test RuntimeBot EBA event binding helpers."""
@@ -482,8 +529,11 @@ class TestEBAEventBindings:
         assert binding.resource_policy.allowed_tool_names is None
         assert binding.delivery_policy.enable_streaming is False
         assert binding.delivery_policy.enable_reply is True
+        assert binding.delivery_policy.enable_interactions is True
         assert binding.state_policy.state_scopes == ['conversation', 'actor', 'subject', 'runner']
         assert binding.agent_id == 'agent-1'
+        assert binding.processor_type == 'agent'
+        assert binding.processor_id == 'agent-1'
 
     def test_agent_product_to_binding_projects_selected_tool_policy(self):
         """Independent Agents use the same standard runner resource fields as Pipelines."""
@@ -513,6 +563,174 @@ class TestEBAEventBindings:
         assert binding.resource_policy.allowed_tool_names == ['exec', 'plugin_tool']
         assert binding.resource_policy.allowed_kb_uuids == ['kb-1']
 
+
+class TestInteractionResumeRouting:
+    """Interaction callbacks resume the processor that created the request."""
+
+    @staticmethod
+    def _event():
+        from langbot_plugin.api.entities.builtin.platform.events import PlatformSpecificEvent
+
+        return PlatformSpecificEvent(
+            action='interaction.submitted',
+            timestamp=1234,
+            data={
+                'callback_token': 'callback-token',
+                'interaction_id': 'form-1',
+                'action_id': 'approve',
+                'values': {'name': 'Alice'},
+                'actor_id': 'user-1',
+                'target_type': 'group',
+                'target_id': 'chat-1',
+                'message_id': 'card-message-1',
+            },
+        )
+
+    @staticmethod
+    def _record(processor_type: str):
+        return {
+            'id': 1,
+            'interaction_id': 'form-1',
+            'binding_id': 'binding-1',
+            'runner_id': 'plugin:test/Dify/default',
+            'processor_type': processor_type,
+            'processor_id': f'{processor_type}-1',
+            'workspace_id': None,
+            'conversation_id': 'group_chat-1',
+            'thread_id': None,
+            'delivery_target': {'target_type': 'group', 'target_id': 'chat-1'},
+            'submission': {
+                'interaction_id': 'form-1',
+                'action_id': 'approve',
+                'values': {'name': 'Alice'},
+                'submitted_at': 1234,
+            },
+        }
+
+    @staticmethod
+    def _make_bot(record):
+        from langbot.pkg.platform.botmgr import RuntimeBot
+
+        bot = object.__new__(RuntimeBot)
+        bot.bot_entity = SimpleNamespace(uuid='bot-1', name='Test', event_bindings=[])
+        interaction_manager = SimpleNamespace(
+            consume_callback=AsyncMock(return_value=record),
+            acknowledge_submission=AsyncMock(),
+        )
+        bot.ap = SimpleNamespace(
+            agent_run_orchestrator=SimpleNamespace(interaction_manager=interaction_manager),
+            msg_aggregator=SimpleNamespace(add_message=AsyncMock()),
+            pipeline_service=SimpleNamespace(
+                get_pipeline=AsyncMock(
+                    return_value={
+                        'uuid': record['processor_id'],
+                        'config': {
+                            'ai': {
+                                'runner': {'id': record['runner_id']},
+                                'runner_config': {record['runner_id']: {}},
+                            }
+                        },
+                    }
+                )
+            ),
+        )
+        return bot
+
+    @pytest.mark.asyncio
+    async def test_pipeline_callback_bypasses_route_table_and_targets_original_pipeline(self):
+        bot = self._make_bot(self._record('pipeline'))
+        adapter = SimpleNamespace()
+
+        await bot._handle_interaction_submission(self._event(), adapter)
+
+        bot.ap.msg_aggregator.add_message.assert_awaited_once()
+        kwargs = bot.ap.msg_aggregator.add_message.await_args.kwargs
+        assert kwargs['pipeline_uuid'] == 'pipeline-1'
+        assert kwargs['routed_by_rule'] is True
+        assert kwargs['variables']['_interaction_submission']['interaction_id'] == 'form-1'
+        assert kwargs['message_chain'].message_id == 'card-message-1'
+        assert kwargs['message_event'].message_chain.message_id == 'card-message-1'
+        manager = bot.ap.agent_run_orchestrator.interaction_manager
+        manager.consume_callback.assert_awaited_once_with(
+            callback_token='callback-token',
+            submission={
+                'interaction_id': 'form-1',
+                'action_id': 'approve',
+                'values': {'name': 'Alice'},
+                'submitted_at': 1234,
+            },
+            bot_id='bot-1',
+            conversation_id='group_chat-1',
+            actor_id='user-1',
+        )
+
+    @pytest.mark.asyncio
+    async def test_callback_forwards_compact_platform_references(self):
+        bot = self._make_bot(self._record('pipeline'))
+        adapter = SimpleNamespace()
+        event = self._event()
+        event.data.pop('interaction_id')
+        event.data.pop('action_id')
+        event.data['action_ref'] = 1
+
+        await bot._handle_interaction_submission(event, adapter)
+
+        manager = bot.ap.agent_run_orchestrator.interaction_manager
+        submission = manager.consume_callback.await_args.kwargs['submission']
+        assert submission['action_ref'] == 1
+        assert submission['interaction_id'] is None
+
+    @pytest.mark.asyncio
+    async def test_pipeline_callback_rejects_changed_runner(self):
+        bot = self._make_bot(self._record('pipeline'))
+        bot.ap.pipeline_service.get_pipeline.return_value['config']['ai']['runner']['id'] = 'plugin:test/Other/default'
+
+        with pytest.raises(ValueError, match='Pipeline runner changed'):
+            await bot._handle_interaction_submission(self._event(), SimpleNamespace())
+
+        bot.ap.msg_aggregator.add_message.assert_not_awaited()
+
+    @pytest.mark.asyncio
+    async def test_agent_callback_targets_original_agent_and_runner(self):
+        import langbot_plugin.api.entities.builtin.provider.message as provider_message
+
+        captured = []
+
+        async def fake_run(envelope, binding, adapter_context=None):
+            captured.append((envelope, binding, adapter_context))
+            yield provider_message.Message(role='assistant', content='approved')
+
+        bot = self._make_bot(self._record('agent'))
+        bot.ap.agent_service = SimpleNamespace(
+            get_agent=AsyncMock(
+                return_value={
+                    'uuid': 'agent-1',
+                    'kind': 'agent',
+                    'enabled': True,
+                    'config': {
+                        'runner': {'id': 'plugin:test/Dify/default'},
+                        'runner_config': {'plugin:test/Dify/default': {}},
+                    },
+                }
+            )
+        )
+        bot.ap.agent_run_orchestrator.run = fake_run
+        adapter = SimpleNamespace(
+            get_supported_apis=Mock(return_value=['send_message']),
+            send_message=AsyncMock(),
+        )
+
+        await bot._handle_interaction_submission(self._event(), adapter)
+
+        envelope, binding, adapter_context = captured[0]
+        assert envelope.event_type == 'interaction.submitted'
+        assert envelope.data['interaction']['action_id'] == 'approve'
+        assert binding.binding_id == 'binding-1'
+        assert binding.processor_type == 'agent'
+        assert binding.processor_id == 'agent-1'
+        assert adapter_context == {'_delivery_adapter': adapter}
+        adapter.send_message.assert_awaited_once()
+
     def test_agent_product_to_binding_does_not_fallback_to_component_ref(self):
         """An empty config runner stays unconfigured even if component_ref is stale."""
         from langbot.pkg.platform.botmgr import RuntimeBot

tests/unit_tests/platform/test_telegram_eba_adapter.py

@@ -14,6 +14,10 @@ from telegram.ext import CallbackQueryHandler, ChatMemberHandler, MessageHandler
 from langbot.pkg.platform.adapters.telegram.event_converter import TelegramEventConverter
 from langbot.pkg.platform.adapters.telegram.platform_api import PLATFORM_API_MAP
 from langbot.pkg.platform.adapters.telegram.adapter import TelegramAdapter
+from langbot.pkg.platform.adapters.telegram.interaction import (
+    interaction_event_from_update,
+    parse_interaction_callback,
+)
 from langbot.pkg.platform.botmgr import RuntimeBot
 from langbot_plugin.api.definition.abstract.platform.event_logger import AbstractEventLogger
 from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
@@ -152,13 +156,159 @@ def test_telegram_supported_events_match_manifest():
         / 'telegram'
         / 'manifest.yaml'
     )
-    manifest_events = yaml.safe_load(manifest_path.read_text())['spec']['supported_events']
+    manifest_events = yaml.safe_load(manifest_path.read_text(encoding='utf-8'))['spec']['supported_events']
 
     assert adapter_events == manifest_events
     assert 'message.deleted' not in adapter_events
     assert 'group.info_updated' not in adapter_events
 
 
+def test_telegram_interaction_callback_parser_uses_compact_indexes():
+    assert parse_interaction_callback('lbi:token:a:2') == {
+        'callback_token': 'token',
+        'action_ref': 2,
+    }
+    assert parse_interaction_callback('lbi:token:f:1:3') == {
+        'callback_token': 'token',
+        'field_ref': 1,
+        'option_ref': 3,
+    }
+    assert parse_interaction_callback('ordinary-button') is None
+    with pytest.raises(ValueError, match='invalid Telegram interaction callback'):
+        parse_interaction_callback('lbi:token:a:not-an-index')
+
+
+@pytest.mark.asyncio
+async def test_telegram_interaction_request_renders_action_buttons_and_thread_target():
+    adapter = make_adapter()
+    sent = SimpleNamespace(message_id=321)
+    bot = SimpleNamespace(send_message=AsyncMock(return_value=sent))
+    object.__setattr__(adapter, 'bot', bot)
+
+    result = await adapter.call_platform_api(
+        'interaction.request',
+        {
+            'callback_token': 'callback-token',
+            'reply_target': {'target_type': 'group', 'target_id': '-1001#7'},
+            'request': {
+                'interaction_id': 'form-1',
+                'kind': 'choice',
+                'title': 'Approve?',
+                'actions': [
+                    {'id': 'approve', 'label': 'Approve', 'style': 'primary'},
+                    {'id': 'reject', 'label': 'Reject', 'style': 'danger'},
+                ],
+                'fallback_text': 'Reply approve or reject.',
+            },
+        },
+    )
+
+    assert result == {'ok': True, 'message_id': 321, 'rich': True}
+    kwargs = bot.send_message.await_args.kwargs
+    assert kwargs['chat_id'] == -1001
+    assert kwargs['message_thread_id'] == 7
+    buttons = kwargs['reply_markup'].inline_keyboard
+    assert buttons[0][0].callback_data == 'lbi:callback-token:a:0'
+    assert buttons[1][0].callback_data == 'lbi:callback-token:a:1'
+
+
+@pytest.mark.asyncio
+async def test_telegram_interaction_request_renders_select_or_falls_back():
+    adapter = make_adapter()
+    bot = SimpleNamespace(send_message=AsyncMock(return_value=SimpleNamespace(message_id=1)))
+    object.__setattr__(adapter, 'bot', bot)
+    base_params = {
+        'callback_token': 'callback-token',
+        'reply_target': {'target_type': 'person', 'target_id': '123'},
+        'request': {
+            'interaction_id': 'form-1',
+            'title': 'Choose priority',
+            'fields': [
+                {
+                    'id': 'priority',
+                    'label': 'Priority',
+                    'type': 'select',
+                    'options': [{'value': 'urgent', 'label': 'Urgent'}],
+                }
+            ],
+            'fallback_text': 'Reply with a priority.',
+        },
+    }
+
+    result = await adapter.call_platform_api('interaction.request', base_params)
+    assert result['rich'] is True
+    button = bot.send_message.await_args.kwargs['reply_markup'].inline_keyboard[0][0]
+    assert button.callback_data == 'lbi:callback-token:f:0:0'
+
+    base_params['request']['fields'][0]['type'] = 'text'
+    result = await adapter.call_platform_api('interaction.request', base_params)
+    assert result['rich'] is False
+    kwargs = bot.send_message.await_args.kwargs
+    assert 'reply_markup' not in kwargs
+    assert 'Reply with a priority.' in kwargs['text']
+
+
+def test_telegram_interaction_callback_builds_scoped_host_event():
+    update = SimpleNamespace(
+        callback_query=SimpleNamespace(
+            message=SimpleNamespace(
+                chat=SimpleNamespace(id=-1001, type='supergroup'),
+                message_thread_id=7,
+            ),
+            from_user=SimpleNamespace(id=456),
+        )
+    )
+
+    event = interaction_event_from_update(
+        update,
+        {'callback_token': 'callback-token', 'action_ref': 1},
+    )
+
+    assert event.action == 'interaction.submitted'
+    assert event.data['callback_token'] == 'callback-token'
+    assert event.data['action_ref'] == 1
+    assert event.data['actor_id'] == '456'
+    assert event.data['target_type'] == 'group'
+    assert event.data['target_id'] == '-1001#7'
+
+
+@pytest.mark.asyncio
+async def test_telegram_interaction_callback_answers_and_dispatches_once():
+    adapter = make_adapter()
+    listener = AsyncMock()
+    adapter.register_listener(platform_events.EBAEvent, listener)
+    query = SimpleNamespace(
+        data='lbi:callback-token:a:0',
+        answer=AsyncMock(),
+        edit_message_reply_markup=AsyncMock(),
+        message=SimpleNamespace(
+            chat=SimpleNamespace(id=123, type='private'),
+            message_thread_id=None,
+        ),
+        from_user=SimpleNamespace(id=456),
+    )
+    update = SimpleNamespace(
+        message=None,
+        edited_message=None,
+        chat_member=None,
+        my_chat_member=None,
+        callback_query=query,
+        message_reaction=None,
+    )
+    callback_handler = next(
+        handler for handler in adapter.application.handlers[0] if isinstance(handler, CallbackQueryHandler)
+    )
+
+    await callback_handler.callback(update, None)
+
+    query.answer.assert_awaited_once_with()
+    query.edit_message_reply_markup.assert_awaited_once_with(reply_markup=None)
+    listener.assert_awaited_once()
+    event = listener.await_args.args[0]
+    assert event.action == 'interaction.submitted'
+    assert event.data['action_ref'] == 0
+
+
 @pytest.mark.asyncio
 async def test_telegram_converter_maps_message_and_edited_message_events():
     update = make_update({'message': base_message_payload(text='hello @test_bot')})
@@ -187,6 +337,19 @@ async def test_telegram_converter_maps_message_and_edited_message_events():
     assert str(edited_event.new_content) == 'edited'
 
 
+@pytest.mark.asyncio
+async def test_telegram_legacy_group_converter_preserves_actor_identity():
+    adapter = make_adapter()
+    group_chat = {'id': -100123, 'type': 'supergroup', 'title': 'Test Group'}
+    update = make_update({'message': base_message_payload(chat=group_chat)})
+
+    event = await adapter.legacy_event_converter.target2yiri(update, adapter.bot, 'test_bot')
+
+    assert isinstance(event, platform_events.GroupMessage)
+    assert event.sender.id == 456
+    assert event.sender.group.id == -100123
+
+
 @pytest.mark.asyncio
 async def test_telegram_converter_maps_non_message_updates():
     chat_member = make_update(

tests/unit_tests/platform/test_wecombot_eba_adapter.py

@@ -11,6 +11,10 @@ from langbot.pkg.platform.adapters.wecombot.adapter import WecomBotAdapter
 from langbot.pkg.platform.adapters.wecombot.event_converter import WecomBotEventConverter
 from langbot.pkg.platform.adapters.wecombot.message_converter import WecomBotMessageConverter
 from langbot.pkg.platform.adapters.wecombot.platform_api import PLATFORM_API_MAP
+from langbot.pkg.platform.adapters.wecombot.interaction import (
+    build_interaction_card,
+    interaction_event_from_native,
+)
 from langbot_plugin.api.definition.abstract.platform.event_logger import AbstractEventLogger
 from langbot_plugin.api.entities.builtin.platform import entities as platform_entities
 from langbot_plugin.api.entities.builtin.platform import events as platform_events
@@ -44,6 +48,7 @@ class DummyWecomBotWsClient:
         self.reply_text = AsyncMock(return_value={'reply': True})
         self.push_stream_chunk = AsyncMock(return_value=True)
         self.set_message = AsyncMock(return_value={'set': True})
+        self.send_template_card = AsyncMock(return_value={'sent': True})
 
     def on_message(self, msg_type: str):
         def decorator(func):
@@ -82,7 +87,7 @@ def manifest() -> dict:
         / 'wecombot'
         / 'manifest.yaml'
     )
-    return yaml.safe_load(manifest_path.read_text())
+    return yaml.safe_load(manifest_path.read_text(encoding='utf-8'))
 
 
 def make_adapter(enable_webhook: bool = False) -> WecomBotAdapter:
@@ -149,6 +154,52 @@ def test_wecombot_platform_api_map_matches_manifest():
     assert set(PLATFORM_API_MAP) == manifest_actions
 
 
+def test_wecombot_interaction_card_uses_host_callback_token_and_index():
+    card = build_interaction_card(
+        {'title': 'Approve?', 'actions': [{'id': 'approve', 'label': 'Approve'}]},
+        'callback-token',
+    )
+
+    button = card['template_card']['button_list'][0]
+    assert button['key'] == 'lbi:callback-token:a:0'
+
+
+@pytest.mark.asyncio
+async def test_wecombot_interaction_delivery_and_callback_event():
+    adapter = make_adapter()
+    result = await adapter.call_platform_api(
+        'interaction.request',
+        {
+            'callback_token': 'callback-token',
+            'reply_target': {'target_type': 'group', 'target_id': 'group-1'},
+            'request': {
+                'interaction_id': 'form-1',
+                'title': 'Approve?',
+                'actions': [{'id': 'approve', 'label': 'Approve'}],
+                'fallback_text': 'Reply approve.',
+            },
+        },
+    )
+
+    assert result['rich'] is True
+    adapter.bot.send_template_card.assert_awaited_once()
+
+    native = wecombot_event(type='group', msgtype='event')
+    native['event'] = {
+        'eventtype': 'template_card_event',
+        'template_card_event': {'EventKey': 'lbi:callback-token:a:0'},
+    }
+    event = interaction_event_from_native(native)
+    assert event.action == 'interaction.submitted'
+    assert event.data['action_ref'] == 0
+    assert event.data['target_id'] == 'group-1'
+
+    native['event']['template_card_event'] = {'button': {'key': 'lbi:callback-token:f:0:2'}}
+    nested_event = interaction_event_from_native(native)
+    assert nested_event.data['field_ref'] == 0
+    assert nested_event.data['option_ref'] == 2
+
+
 @pytest.mark.asyncio
 async def test_wecombot_message_converter_maps_outbound_components_to_markdown_text():
     content = await WecomBotMessageConverter.yiri2target(
@@ -271,4 +322,6 @@ async def test_wecombot_send_reply_feedback_and_platform_api_use_underlying_clie
 async def test_wecombot_webhook_mode_rejects_proactive_send():
     adapter = make_adapter(enable_webhook=True)
     with pytest.raises(NotSupportedError):
-        await adapter.send_message('person', 'user-1', platform_message.MessageChain([platform_message.Plain(text='hi')]))
+        await adapter.send_message(
+            'person', 'user-1', platform_message.MessageChain([platform_message.Plain(text='hi')])
+        )

web/src/app/home/pipelines/components/pipeline-form/PipelineFormComponent.tsx

@@ -6,6 +6,7 @@ import {
   PipelineConfigStage,
 } from '@/app/infra/entities/pipeline';
 import DynamicFormComponent from '@/app/home/components/dynamic-form/DynamicFormComponent';
+import { getDefaultValues } from '@/app/home/components/dynamic-form/DynamicFormItemConfig';
 import { Button } from '@/components/ui/button';
 import { useForm } from 'react-hook-form';
 import { zodResolver } from '@hookform/resolvers/zod';
@@ -350,10 +351,38 @@ export default function PipelineFormComponent({
 
     const currentValues =
       (form.getValues(formName) as Record<string, unknown>) || {};
-    form.setValue(formName, {
+    const nextValues: Record<string, unknown> = {
       ...currentValues,
       [stageName]: values,
-    });
+    };
+
+    if (formName === 'ai' && stageName === 'runner') {
+      const selectedRunner = (values as Record<string, unknown>).id;
+      const runnerConfigs =
+        currentValues.runner_config &&
+        typeof currentValues.runner_config === 'object' &&
+        !Array.isArray(currentValues.runner_config)
+          ? (currentValues.runner_config as Record<string, unknown>)
+          : {};
+
+      if (
+        typeof selectedRunner === 'string' &&
+        selectedRunner &&
+        !(selectedRunner in runnerConfigs)
+      ) {
+        const runnerStage = aiConfigTabSchema?.stages.find(
+          (stage) => stage.name === selectedRunner,
+        );
+        if (runnerStage) {
+          nextValues.runner_config = {
+            ...runnerConfigs,
+            [selectedRunner]: getDefaultValues(runnerStage.config),
+          };
+        }
+      }
+    }
+
+    form.setValue(formName, nextValues);
 
     if (isFirstEmission) {
       initializedStagesRef.current.add(stageKey);