diff --git a/plugins/Runner/dify-agent/README.md b/plugins/Runner/dify-agent/README.md
index fad5ed7b5..486d906f2 100644
--- a/plugins/Runner/dify-agent/README.md
+++ b/plugins/Runner/dify-agent/README.md
@@ -54,10 +54,11 @@ events, which are used only when no explicit answer was produced.
 
 ## Workflow Human Input
 
-When Dify emits `workflow_paused` with a `human_input_required` reason, the
-runner asks LangBot to deliver a structured interaction. A validated
-`interaction.submitted` event resumes Dify through
-`/form/human_input/{form_token}` and `/workflow/{workflow_run_id}/events`.
+When Dify emits `workflow_paused` with a `human_input_required` reason, or a
+direct `human_input_required` event, the runner asks LangBot to deliver a
+structured interaction. A validated `interaction.submitted` event resumes Dify
+through `/form/human_input/{form_token}`. The submission response may itself
+stream events; otherwise the runner reads `/workflow/{workflow_run_id}/events`.
 Workflows that pause again produce a new interaction and can be resumed again.
 Forms are emitted as atomic steps: the runner collects one field at a time and
 then emits the action buttons. This matches LangBot delivery adapters that
diff --git a/plugins/Runner/dify-agent/components/runner/default.py b/plugins/Runner/dify-agent/components/runner/default.py
index ddb946be1..1fd8276e9 100644
--- a/plugins/Runner/dify-agent/components/runner/default.py
+++ b/plugins/Runner/dify-agent/components/runner/default.py
@@ -247,17 +247,68 @@ def _usage_from_payload(payload: typing.Any) -> dict[str, typing.Any] | None:
     return normalized or None
 
 
+def _mapping_value(mapping: typing.Any, *keys: str) -> typing.Any:
+    """Return a protocol value using explicit aliases with case-insensitive matching."""
+    if not isinstance(mapping, dict):
+        return None
+    for key in keys:
+        if key in mapping:
+            return mapping[key]
+    lowered = {str(key).lower(): value for key, value in mapping.items()}
+    for key in keys:
+        if key.lower() in lowered:
+            return lowered[key.lower()]
+    return None
+
+
+def _protocol_name(value: typing.Any) -> str:
+    if not isinstance(value, str):
+        return ""
+    return re.sub(r"[-\s]+", "_", value.strip().lower())
+
+
+def _workflow_run_id(event: dict[str, typing.Any], fallback: str = "") -> str:
+    data = event.get("data") if isinstance(event.get("data"), dict) else {}
+    value = _mapping_value(data, "workflow_run_id", "workflowRunId")
+    if value in (None, ""):
+        value = _mapping_value(event, "workflow_run_id", "workflowRunId")
+    return str(value or fallback).strip()
+
+
+def _human_input_reason(event: dict[str, typing.Any]) -> dict[str, typing.Any] | None:
+    data = event.get("data") if isinstance(event.get("data"), dict) else {}
+    if _protocol_name(event.get("event")) == "human_input_required":
+        return data
+
+    raw_reasons = _mapping_value(data, "reasons", "pause_reasons", "pauseReasons")
+    if isinstance(raw_reasons, dict):
+        reasons = [raw_reasons]
+    elif isinstance(raw_reasons, list):
+        reasons = raw_reasons
+    else:
+        raw_reason = _mapping_value(data, "reason", "pause_reason", "pauseReason")
+        reasons = [raw_reason] if isinstance(raw_reason, dict) else []
+
+    for reason in reasons:
+        if not isinstance(reason, dict):
+            continue
+        reason_type = _mapping_value(reason, "TYPE", "type", "reason_type", "reasonType")
+        if _protocol_name(reason_type) == "human_input_required":
+            return reason
+    return None
+
+
 def _form_field_name(field: dict[str, typing.Any]) -> str:
     return str(
-        field.get("output_variable_name") or field.get("variable") or field.get("name") or field.get("id") or ""
+        _mapping_value(field, "output_variable_name", "outputVariableName", "variable", "name", "id") or ""
     ).strip()
 
 
 def _form_field_options(field: dict[str, typing.Any]) -> list[str]:
-    source = field.get("option_source")
-    raw_options = source.get("value") if isinstance(source, dict) else None
+    source = _mapping_value(field, "option_source", "optionSource")
+    raw_options = _mapping_value(source, "value") if isinstance(source, dict) else None
     if raw_options is None:
-        raw_options = field.get("options")
+        raw_options = _mapping_value(field, "options")
     if isinstance(raw_options, str):
         raw_options = [line.strip() for line in raw_options.splitlines() if line.strip()]
     if not isinstance(raw_options, list):
@@ -266,7 +317,7 @@ def _form_field_options(field: dict[str, typing.Any]) -> list[str]:
     options: list[str] = []
     for option in raw_options:
         if isinstance(option, dict):
-            value = option.get("value") or option.get("label") or option.get("name")
+            value = _mapping_value(option, "value", "label", "name")
         else:
             value = option
         if value is not None and str(value).strip():
@@ -275,9 +326,9 @@ def _form_field_options(field: dict[str, typing.Any]) -> list[str]:
 
 
 def _form_field_default(field: dict[str, typing.Any]) -> typing.Any:
-    default = field.get("default")
-    if isinstance(default, dict) and default.get("type") == "constant":
-        return default.get("value")
+    default = _mapping_value(field, "default", "default_value", "defaultValue")
+    if isinstance(default, dict) and _protocol_name(_mapping_value(default, "type")) == "constant":
+        return _mapping_value(default, "value")
     return default
 
 
@@ -725,7 +776,7 @@ class DefaultRunner(Runner):
         workflow_run_id: str,
         user: str,
     ) -> tuple[InteractionRequest, dict[str, typing.Any]]:
-        form_token = str(reason.get("form_token") or "").strip()
+        form_token = str(_mapping_value(reason, "form_token", "formToken") or "").strip()
         if not form_token or not workflow_run_id:
             raise DifyAPIError(
                 "Dify human-input event is missing continuation identifiers",
@@ -735,9 +786,10 @@ class DefaultRunner(Runner):
         interaction_id = f"dify-{uuid.uuid4().hex}"
         fields: list[InteractionField] = []
         field_map: dict[str, str] = {}
-        resolved_defaults = reason.get("resolved_default_values")
+        resolved_defaults = _mapping_value(reason, "resolved_default_values", "resolvedDefaultValues")
         default_inputs = dict(resolved_defaults) if isinstance(resolved_defaults, dict) else {}
-        raw_fields = reason.get("inputs") if isinstance(reason.get("inputs"), list) else []
+        reason_inputs = _mapping_value(reason, "inputs", "fields")
+        raw_fields = reason_inputs if isinstance(reason_inputs, list) else []
         for index, raw_field in enumerate(raw_fields):
             if not isinstance(raw_field, dict):
                 continue
@@ -746,7 +798,7 @@ class DefaultRunner(Runner):
                 continue
             field_id = f"field_{index + 1}"
             field_map[field_id] = provider_name
-            provider_type = str(raw_field.get("type") or "text").lower()
+            provider_type = _protocol_name(_mapping_value(raw_field, "type") or "text")
             field_type = {
                 "paragraph": "textarea",
                 "textarea": "textarea",
@@ -755,7 +807,7 @@ class DefaultRunner(Runner):
                 "checkbox": "boolean",
                 "boolean": "boolean",
                 "file": "file",
-                "file-list": "file",
+                "file_list": "file",
             }.get(provider_type, "text")
             option_values = _form_field_options(raw_field) if field_type == "select" else []
             if field_type == "select" and not option_values:
@@ -766,22 +818,23 @@ class DefaultRunner(Runner):
             fields.append(
                 InteractionField(
                     id=field_id,
-                    label=str(raw_field.get("label") or raw_field.get("title") or provider_name),
+                    label=str(_mapping_value(raw_field, "label", "title") or provider_name),
                     type=field_type,
-                    required=bool(raw_field.get("required", True)),
+                    required=_to_bool(_mapping_value(raw_field, "required", "is_required", "isRequired"), True),
                     options=[InteractionOption(value=value, label=value) for value in option_values],
-                    placeholder=raw_field.get("placeholder"),
+                    placeholder=_mapping_value(raw_field, "placeholder"),
                     default=default,
                 )
             )
 
         actions: list[InteractionAction] = []
         action_map: dict[str, str] = {}
-        raw_actions = reason.get("actions") if isinstance(reason.get("actions"), list) else []
+        reason_actions = _mapping_value(reason, "actions", "user_actions", "userActions")
+        raw_actions = reason_actions if isinstance(reason_actions, list) else []
         for index, raw_action in enumerate(raw_actions):
             if not isinstance(raw_action, dict):
                 continue
-            provider_action_id = str(raw_action.get("id") or "").strip()
+            provider_action_id = str(_mapping_value(raw_action, "id", "action_id", "actionId") or "").strip()
             if not provider_action_id:
                 continue
             action_id = f"action_{index + 1}"
@@ -789,15 +842,15 @@ class DefaultRunner(Runner):
             actions.append(
                 InteractionAction(
                     id=action_id,
-                    label=str(raw_action.get("title") or raw_action.get("label") or provider_action_id),
+                    label=str(_mapping_value(raw_action, "title", "label", "text") or provider_action_id),
                 )
             )
         if not actions:
             action_map["continue"] = ""
             actions.append(InteractionAction(id="continue", label="Continue", style="primary"))
 
-        node_title = str(reason.get("node_title") or "Human input required")
-        form_content = str(reason.get("form_content") or "")
+        node_title = str(_mapping_value(reason, "node_title", "nodeTitle", "title") or "Human input required")
+        form_content = str(_mapping_value(reason, "form_content", "formContent", "content") or "")
         provider_names = [field_map[field.id] for field in fields if field.id in field_map]
         provider_descriptions, action_description = _form_step_descriptions(form_content, provider_names)
         field_descriptions = {
@@ -846,13 +899,8 @@ class DefaultRunner(Runner):
         event: dict[str, typing.Any],
         user: str,
     ) -> RunnerResult | None:
-        data = event.get("data") if isinstance(event.get("data"), dict) else {}
-        workflow_run_id = str(data.get("workflow_run_id") or "").strip()
-        reasons = data.get("reasons") if isinstance(data.get("reasons"), list) else []
-        reason = next(
-            (item for item in reasons if isinstance(item, dict) and item.get("TYPE") == "human_input_required"),
-            None,
-        )
+        workflow_run_id = _workflow_run_id(event)
+        reason = _human_input_reason(event)
         if reason is None:
             return None
         request, continuation = self._build_interaction_request(reason, workflow_run_id, user)
@@ -985,11 +1033,11 @@ class DefaultRunner(Runner):
                 "node_finished",
                 "workflow_finished",
                 "workflow_paused",
+                "human_input_required",
             }:
                 mode = "workflow"
             if event_type == "workflow_started":
-                data = event.get("data") if isinstance(event.get("data"), dict) else {}
-                workflow_run_id = str(data.get("workflow_run_id") or workflow_run_id)
+                workflow_run_id = _workflow_run_id(event, workflow_run_id)
 
             if event_type == "error":
                 raise DifyAPIError(
@@ -1011,9 +1059,10 @@ class DefaultRunner(Runner):
                         has_response = True
                         yield RunnerResult.message_delta(ctx.run_id, MessageChunk(role="assistant", content=content))
 
-            elif mode == "workflow" and event_type == "workflow_paused":
+            elif mode == "workflow" and event_type in {"workflow_paused", "human_input_required"}:
                 data = event.get("data") if isinstance(event.get("data"), dict) else {}
-                if workflow_run_id and not data.get("workflow_run_id"):
+                workflow_run_id = _workflow_run_id(event, workflow_run_id)
+                if workflow_run_id and not _workflow_run_id(event):
                     event = dict(event)
                     event["data"] = {**data, "workflow_run_id": workflow_run_id}
                 if pending_content:
@@ -1224,8 +1273,7 @@ class DefaultRunner(Runner):
             usage = _usage_from_payload(event) or usage
 
             if event_type == "workflow_started":
-                data = event.get("data") if isinstance(event.get("data"), dict) else {}
-                workflow_run_id = str(data.get("workflow_run_id") or workflow_run_id)
+                workflow_run_id = _workflow_run_id(event, workflow_run_id)
 
             if event_type == "error":
                 raise DifyAPIError(
@@ -1267,9 +1315,10 @@ class DefaultRunner(Runner):
                             MessageChunk(role="assistant", content=content, is_final=True),
                         )
 
-            elif event_type == "workflow_paused":
+            elif event_type in {"workflow_paused", "human_input_required"}:
                 data = event.get("data") if isinstance(event.get("data"), dict) else {}
-                if workflow_run_id and not data.get("workflow_run_id"):
+                workflow_run_id = _workflow_run_id(event, workflow_run_id)
+                if workflow_run_id and not _workflow_run_id(event):
                     event = dict(event)
                     event["data"] = {**data, "workflow_run_id": workflow_run_id}
                 if pending_content:
@@ -1403,7 +1452,10 @@ class DefaultRunner(Runner):
         await self._store_interaction_continuation(ctx, continuation)
 
         pending_content = ""
+        streamed_content = ""
+        text_event_count = 0
         has_response = False
+        final_response = False
         terminal = False
         usage: dict[str, typing.Any] | None = None
         async for event in client.workflow_submit(
@@ -1426,30 +1478,49 @@ class DefaultRunner(Runner):
                     if event_type != "text_chunk"
                     else str(event.get("data", {}).get("text") or "")
                 )
-                if len(pending_content) + len(chunk) > 1024 * 1024:
+                if event_type != "text_chunk" and pending_content and chunk.startswith(pending_content):
+                    next_content = chunk
+                else:
+                    next_content = pending_content + chunk
+                if len(next_content) > 1024 * 1024:
                     raise DifyAPIError("Dify response exceeds the runtime limit", code="dify.response_limit")
-                pending_content += chunk
+                pending_content = next_content
+                text_event_count += 1
+                if text_event_count % 8 == 0:
+                    content, _ = process_thinking_content(pending_content, remove_think)
+                    if content and content != streamed_content:
+                        streamed_content = content
+                        has_response = True
+                        yield RunnerResult.message_delta(
+                            ctx.run_id,
+                            MessageChunk(role="assistant", content=content, is_final=False),
+                        )
             elif event_type == "node_finished":
                 data = event.get("data", {})
                 if data.get("node_type") == "answer":
                     answer = extract_text_from_output(data.get("outputs", {}).get("answer"))
                     if answer:
                         content, _ = process_thinking_content(answer, remove_think)
-                        has_response = True
-                        yield RunnerResult.message_delta(
-                            ctx.run_id,
-                            MessageChunk(role="assistant", content=content, is_final=True),
-                        )
-            elif event_type == "workflow_paused":
+                        final_response = bool(content)
+                        if content and content != streamed_content:
+                            has_response = True
+                            streamed_content = content
+                            yield RunnerResult.message_delta(
+                                ctx.run_id,
+                                MessageChunk(role="assistant", content=content, is_final=True),
+                            )
+            elif event_type in {"workflow_paused", "human_input_required"}:
                 if pending_content:
                     content, _ = process_thinking_content(pending_content, remove_think)
-                    if content:
+                    if content and content != streamed_content:
+                        has_response = True
+                        streamed_content = content
                         yield RunnerResult.message_delta(
                             ctx.run_id,
                             MessageChunk(role="assistant", content=content, is_final=True),
                         )
                 data = event.get("data") if isinstance(event.get("data"), dict) else {}
-                if not data.get("workflow_run_id"):
+                if not _workflow_run_id(event):
                     event = dict(event)
                     event["data"] = {
                         **data,
@@ -1475,26 +1546,29 @@ class DefaultRunner(Runner):
                 summary = extract_text_from_output(data.get("outputs", {}).get("summary", ""))
                 if summary:
                     content, _ = process_thinking_content(summary, remove_think)
-                    has_response = True
-                    yield RunnerResult.message_delta(
-                        ctx.run_id,
-                        MessageChunk(role="assistant", content=content, is_final=True),
-                    )
+                    final_response = bool(content)
+                    if content and content != streamed_content:
+                        has_response = True
+                        streamed_content = content
+                        yield RunnerResult.message_delta(
+                            ctx.run_id,
+                            MessageChunk(role="assistant", content=content, is_final=True),
+                        )
                 terminal = True
 
-        if pending_content and not has_response:
-            content, _ = process_thinking_content(pending_content, remove_think)
-            if content:
-                has_response = True
-                yield RunnerResult.message_delta(
-                    ctx.run_id,
-                    MessageChunk(role="assistant", content=content, is_final=True),
-                )
         if not terminal:
             raise DifyAPIError(
                 "Dify workflow resume ended before a terminal event",
                 code="dify.response_invalid",
             )
+        if pending_content and not final_response:
+            content, _ = process_thinking_content(pending_content, remove_think)
+            if content and content != streamed_content:
+                has_response = True
+                yield RunnerResult.message_delta(
+                    ctx.run_id,
+                    MessageChunk(role="assistant", content=content, is_final=True),
+                )
         if not has_response:
             raise DifyAPIError(
                 "Dify workflow returned no response after human input",
diff --git a/plugins/Runner/dify-agent/pkg/dify_client.py b/plugins/Runner/dify-agent/pkg/dify_client.py
index cff68b758..905db3f05 100644
--- a/plugins/Runner/dify-agent/pkg/dify_client.py
+++ b/plugins/Runner/dify-agent/pkg/dify_client.py
@@ -208,18 +208,25 @@ class AsyncDifyClient:
                 timeout=self.timeout,
                 trust_env=False,
             ) as client:
-                response = await limited_post(
-                    client,
+                async with client.stream(
+                    "POST",
                     f"/form/human_input/{form_token}",
-                    DifyAPIError,
                     headers=headers,
                     json={"inputs": inputs, "user": user, "action": action},
-                )
-                if not response.is_success:
-                    raise DifyAPIError(
-                        f"Dify API error: {response.status_code} - {response.text[:200]}",
-                        code="dify.http_error",
-                    )
+                ) as response:
+                    if not response.is_success:
+                        body = await limited_body(response, DifyAPIError)
+                        raise DifyAPIError(
+                            f"Dify API error: {response.status_code} - {body.decode('utf-8', errors='replace')[:200]}",
+                            code="dify.http_error",
+                        )
+
+                    content_type = response.headers.get("content-type", "").lower()
+                    if content_type.split(";", 1)[0].strip() == "text/event-stream":
+                        async for event in _iter_sse_json(response):
+                            yield event
+                        return
+                    await limited_body(response, DifyAPIError)
 
                 async with client.stream(
                     "GET",
diff --git a/plugins/Runner/dify-agent/pkg/http_limits.py b/plugins/Runner/dify-agent/pkg/http_limits.py
index fb3984c37..670998262 100644
--- a/plugins/Runner/dify-agent/pkg/http_limits.py
+++ b/plugins/Runner/dify-agent/pkg/http_limits.py
@@ -13,7 +13,7 @@ MAX_STREAM_BYTES = 16 * 1024 * 1024
 
 async def limited_bytes(response, error):
     total = 0
-    async for chunk in response.aiter_bytes(chunk_size=8192):
+    async for chunk in response.aiter_bytes():
         total += len(chunk)
         if total > MAX_STREAM_BYTES:
             raise error("Provider stream exceeds the runtime limit")
diff --git a/plugins/Runner/dify-agent/tests/test_resume_streaming.py b/plugins/Runner/dify-agent/tests/test_resume_streaming.py
new file mode 100644
index 000000000..142ea8cf5
--- /dev/null
+++ b/plugins/Runner/dify-agent/tests/test_resume_streaming.py
@@ -0,0 +1,61 @@
+"""Streaming and deduplication for resumed Dify workflows."""
+
+from types import SimpleNamespace
+from unittest.mock import AsyncMock
+
+import pytest
+from components.runner.default import DefaultRunner
+
+
+async def _resume(events):
+    continuation = {
+        "phase": "submit",
+        "field_map": {},
+        "action_map": {"approve": "approve"},
+        "default_inputs": {},
+        "form_token": "form",
+        "workflow_run_id": "workflow",
+        "user": "user",
+    }
+    runner = SimpleNamespace(
+        _load_interaction_continuation=AsyncMock(return_value=continuation),
+        _store_interaction_continuation=AsyncMock(),
+        _delete_interaction_continuation=AsyncMock(),
+    )
+
+    class Client:
+        async def workflow_submit(self, **kwargs):
+            for event in events:
+                yield event
+
+    submission = SimpleNamespace(interaction_id="interaction", action_id="approve", values={})
+    result = [
+        item
+        async for item in DefaultRunner._resume_workflow_once(
+            runner, SimpleNamespace(run_id="run"), Client(), submission, False
+        )
+    ]
+    return [item.data["chunk"] for item in result if item.type == "message.delta"], result
+
+
+@pytest.mark.asyncio
+async def test_resume_emits_intermediate_snapshots_without_repeating_final_answer():
+    events = [{"event": "text_chunk", "data": {"text": char}} for char in "abcdefghij"]
+    events += [
+        {"event": "node_finished", "data": {"node_type": "answer", "outputs": {"answer": "abcdefghij"}}},
+        {"event": "workflow_finished", "data": {"outputs": {"summary": "abcdefghij"}}},
+    ]
+    chunks, results = await _resume(events)
+    assert [(chunk["content"], chunk["is_final"]) for chunk in chunks] == [
+        ("abcdefgh", False),
+        ("abcdefghij", True),
+    ]
+    assert results[-1].type == "run.completed"
+
+
+@pytest.mark.asyncio
+async def test_resume_accepts_cumulative_message_snapshots():
+    events = [{"event": "message", "answer": "abcdefgh"[:length]} for length in range(1, 9)]
+    events.append({"event": "workflow_finished", "data": {"outputs": {}}})
+    chunks, _ = await _resume(events)
+    assert [chunk["content"] for chunk in chunks] == ["abcdefgh"]
diff --git a/plugins/Runner/tests/test_traditional_runner_protocol_fixes.py b/plugins/Runner/tests/test_traditional_runner_protocol_fixes.py
index eb5f6d6e0..9fb3efbae 100644
--- a/plugins/Runner/tests/test_traditional_runner_protocol_fixes.py
+++ b/plugins/Runner/tests/test_traditional_runner_protocol_fixes.py
@@ -252,6 +252,87 @@ def test_dify_workflow_pause_requests_host_interaction_and_hides_provider_tokens
     assert all(_type(result) != "run.completed" for result in results)
 
 
+def test_dify_current_human_input_event_requests_host_interaction() -> None:
+    module = _load_runner_module("dify-agent")
+    runner = object.__new__(module.DefaultRunner)
+    storage = _FakePluginStorage()
+    runner.get_run_api = lambda ctx: storage
+
+    class FakeClient:
+        async def workflow_run(self, *, inputs, user, files):
+            yield {
+                "event": "human_input_required",
+                "workflow_run_id": "workflow-private",
+                "data": {
+                    "form_token": "form-private",
+                    "node_title": "Manual review",
+                    "form_content": "Choose a priority\n{{#$output.priority#}}",
+                    "inputs": [
+                        {
+                            "output_variable_name": "priority",
+                            "type": "select",
+                            "option_source": {"type": "constant", "value": ["high", "low"]},
+                        }
+                    ],
+                    "actions": [{"id": "approve-private", "title": "Approve"}],
+                },
+            }
+
+    results = asyncio.run(_collect_async(runner._run_workflow(_ctx(), FakeClient(), {}, "hello", "user_1", [], False)))
+
+    assert _type(results[-1]) == "action.requested"
+    assert all(_type(result) != "run.completed" for result in results)
+    request = results[-1].data["payload"]
+    assert request["title"] == "Manual review"
+    assert request["fields"][0]["options"][0]["value"] == "high"
+    assert "form-private" not in str(request)
+    assert "workflow-private" not in str(request)
+    continuation = json.loads(next(iter(storage.values.values())))
+    assert continuation["form_token"] == "form-private"
+    assert continuation["workflow_run_id"] == "workflow-private"
+
+
+def test_dify_pause_accepts_single_reason_and_camel_case_fields() -> None:
+    module = _load_runner_module("dify-agent")
+    runner = object.__new__(module.DefaultRunner)
+    storage = _FakePluginStorage()
+    runner.get_run_api = lambda ctx: storage
+    event = {
+        "event": "workflow_paused",
+        "data": {
+            "workflowRunId": "workflow-private",
+            "reason": {
+                "type": "human-input-required",
+                "formToken": "form-private",
+                "nodeTitle": "Manual review",
+                "formContent": "Choose a priority\n{{#$output.priority#}}",
+                "resolvedDefaultValues": {"priority": "low"},
+                "fields": [
+                    {
+                        "outputVariableName": "priority",
+                        "type": "select",
+                        "optionSource": {"type": "constant", "value": [{"label": "High", "value": "high"}]},
+                    }
+                ],
+                "userActions": [{"actionId": "approve-private", "label": "Approve"}],
+            },
+        },
+    }
+
+    result = asyncio.run(runner._interaction_result_for_pause(_ctx(), event, "user_1"))
+
+    assert result is not None
+    request = result.data["payload"]
+    assert request["title"] == "Manual review"
+    assert request["fields"][0]["default"] == "low"
+    assert request["fields"][0]["options"][0]["value"] == "high"
+    assert request["fields"][0]["options"][0]["label"] == "high"
+    continuation = json.loads(next(iter(storage.values.values())))
+    assert continuation["action_map"] == {"action_1": "approve-private"}
+    assert "form-private" not in str(request)
+    assert "workflow-private" not in str(request)
+
+
 def test_dify_interaction_resume_submits_mapped_values_and_clears_continuation() -> None:
     module = _load_runner_module("dify-agent")
     runner = object.__new__(module.DefaultRunner)
@@ -558,6 +639,77 @@ def test_dify_client_submits_form_then_streams_resumed_events(monkeypatch) -> No
     assert event_body.consumed and event_body.closed
 
 
+def test_dify_client_consumes_sse_returned_by_form_submission(monkeypatch) -> None:
+    module = _load_runner_module("dify-agent")
+    client_module = sys.modules["pkg.dify_client"]
+    real_async_client = httpx.AsyncClient
+    calls: list[httpx.Request] = []
+    expected_event = {"event": "workflow_finished", "data": {"outputs": {"summary": "done"}}}
+
+    def handle_request(request):
+        calls.append(request)
+        return httpx.Response(
+            200,
+            headers={"content-type": "text/event-stream; charset=utf-8"},
+            content=b"data: " + json.dumps(expected_event).encode() + b"\n\n",
+        )
+
+    transport = httpx.MockTransport(handle_request)
+    monkeypatch.setattr(
+        client_module.httpx,
+        "AsyncClient",
+        lambda **kwargs: real_async_client(transport=transport, **kwargs),
+    )
+    client = module.AsyncDifyClient(api_key="key", base_url="https://dify.example/v1")
+
+    events = asyncio.run(
+        _collect_async(
+            client.workflow_submit(
+                form_token="form-token",
+                workflow_run_id="workflow-run",
+                inputs={"priority": "high"},
+                user="user-1",
+                action="approve",
+            )
+        )
+    )
+
+    assert events == [expected_event]
+    assert [(request.method, request.url.path) for request in calls] == [("POST", "/v1/form/human_input/form-token")]
+
+
+def test_dify_client_yields_submission_sse_before_stream_ends(monkeypatch) -> None:
+    module = _load_runner_module("dify-agent")
+    client_module = sys.modules["pkg.dify_client"]
+    real_async_client = httpx.AsyncClient
+    first_event = {"event": "text_chunk", "data": {"text": "ready"}}
+
+    class FirstEventStream(httpx.AsyncByteStream):
+        async def __aiter__(self):
+            yield b"data: " + json.dumps(first_event).encode() + b"\n\n"
+            raise AssertionError("submission response was buffered before the first event")
+
+    def handle_request(request):
+        assert request.method == "POST"
+        return httpx.Response(200, headers={"content-type": "text/event-stream"}, stream=FirstEventStream())
+
+    monkeypatch.setattr(
+        client_module.httpx,
+        "AsyncClient",
+        lambda **kwargs: real_async_client(transport=httpx.MockTransport(handle_request), **kwargs),
+    )
+    client = module.AsyncDifyClient(api_key="key", base_url="https://dify.example/v1")
+
+    async def read_first():
+        stream = client.workflow_submit("form-token", "workflow-run", {}, "user-1", "approve")
+        try:
+            return await anext(stream)
+        finally:
+            await stream.aclose()
+
+    assert asyncio.run(read_first()) == first_event
+
+
 def test_dify_text_image_upload_failure_is_input_error() -> None:
     module = _load_runner_module("dify-agent")