Merge branch 'main' into rayhpeng/persistence-scaffold

backend/packages/harness/deerflow/client.py

@@ -345,6 +345,7 @@ class DeerFlowClient:
         Yields:
             StreamEvent with one of:
             - type="values"          data={"title": str|None, "messages": [...], "artifacts": [...]}
+            - type="custom"          data={...}
             - type="messages-tuple"  data={"type": "ai", "content": str, "id": str}
             - type="messages-tuple"  data={"type": "ai", "content": str, "id": str, "usage_metadata": {...}}
             - type="messages-tuple"  data={"type": "ai", "content": "", "id": str, "tool_calls": [...]}
@@ -365,7 +366,22 @@ class DeerFlowClient:
         seen_ids: set[str] = set()
         cumulative_usage: dict[str, int] = {"input_tokens": 0, "output_tokens": 0, "total_tokens": 0}
 
-        for chunk in self._agent.stream(state, config=config, context=context, stream_mode="values"):
+        for item in self._agent.stream(
+            state,
+            config=config,
+            context=context,
+            stream_mode=["values", "custom"],
+        ):
+            if isinstance(item, tuple) and len(item) == 2:
+                mode, chunk = item
+                mode = str(mode)
+            else:
+                mode, chunk = "values", item
+
+            if mode == "custom":
+                yield StreamEvent(type="custom", data=chunk)
+                continue
+
             messages = chunk.get("messages", [])
 
             for msg in messages:

backend/tests/test_client.py

@@ -5,6 +5,7 @@ import concurrent.futures
 import json
 import tempfile
 import zipfile
+from enum import Enum
 from pathlib import Path
 from unittest.mock import MagicMock, patch
 
@@ -205,6 +206,33 @@ class TestStream:
         msg_events = _ai_events(events)
         assert msg_events[0].data["content"] == "Hello!"
 
+    def test_custom_events_are_forwarded(self, client):
+        """stream() forwards custom stream events alongside normal values output."""
+        ai = AIMessage(content="Hello!", id="ai-1")
+        agent = MagicMock()
+        agent.stream.return_value = iter(
+            [
+                ("custom", {"type": "task_started", "task_id": "task-1"}),
+                ("values", {"messages": [HumanMessage(content="hi", id="h-1"), ai]}),
+            ]
+        )
+
+        with (
+            patch.object(client, "_ensure_agent"),
+            patch.object(client, "_agent", agent),
+        ):
+            events = list(client.stream("hi", thread_id="t-custom"))
+
+        agent.stream.assert_called_once()
+        call_kwargs = agent.stream.call_args.kwargs
+        assert call_kwargs["stream_mode"] == ["values", "custom"]
+
+        assert events[0].type == "custom"
+        assert events[0].data == {"type": "task_started", "task_id": "task-1"}
+        assert any(event.type == "messages-tuple" and event.data["content"] == "Hello!" for event in events)
+        assert any(event.type == "values" for event in events)
+        assert events[-1].type == "end"
+
     def test_context_propagation(self, client):
         """stream() passes agent_name to the context."""
         agent = _make_agent_mock([{"messages": [AIMessage(content="ok", id="ai-1")]}])
@@ -222,6 +250,33 @@ class TestStream:
         assert call_kwargs["context"]["thread_id"] == "t1"
         assert call_kwargs["context"]["agent_name"] == "test-agent-1"
 
+    def test_custom_mode_is_normalized_to_string(self, client):
+        """stream() forwards custom events even when the mode is not a plain string."""
+
+        class StreamMode(Enum):
+            CUSTOM = "custom"
+
+            def __str__(self):
+                return self.value
+
+        agent = _make_agent_mock(
+            [
+                (StreamMode.CUSTOM, {"type": "task_started", "task_id": "task-1"}),
+                {"messages": [AIMessage(content="Hello!", id="ai-1")]},
+            ]
+        )
+
+        with (
+            patch.object(client, "_ensure_agent"),
+            patch.object(client, "_agent", agent),
+        ):
+            events = list(client.stream("hi", thread_id="t-custom-enum"))
+
+        assert events[0].type == "custom"
+        assert events[0].data == {"type": "task_started", "task_id": "task-1"}
+        assert any(event.type == "messages-tuple" and event.data["content"] == "Hello!" for event in events)
+        assert events[-1].type == "end"
+
     def test_tool_call_and_result(self, client):
         """stream() emits messages-tuple events for tool calls and results."""
         ai = AIMessage(content="", id="ai-1", tool_calls=[{"name": "bash", "args": {"cmd": "ls"}, "id": "tc-1"}])

docker/docker-compose-dev.yaml

@@ -123,7 +123,7 @@ services:
         UV_IMAGE: ${UV_IMAGE:-ghcr.io/astral-sh/uv:0.7.20}
         UV_INDEX_URL: ${UV_INDEX_URL:-https://pypi.org/simple}
     container_name: deer-flow-gateway
-    command: sh -c "cd backend && uv sync && PYTHONPATH=. uv run uvicorn app.gateway.app:app --host 0.0.0.0 --port 8001 --reload --reload-include='*.yaml .env' > /app/logs/gateway.log 2>&1"
+    command: sh -c "{ cd backend && (uv sync || (echo '[startup] uv sync failed; recreating .venv and retrying once' && uv venv --allow-existing .venv && uv sync)) && PYTHONPATH=. uv run uvicorn app.gateway.app:app --host 0.0.0.0 --port 8001 --reload --reload-include='*.yaml .env'; } > /app/logs/gateway.log 2>&1"
     volumes:
       - ../backend/:/app/backend/
       # Preserve the .venv built during Docker image build — mounting the full backend/
@@ -180,7 +180,7 @@ services:
         UV_IMAGE: ${UV_IMAGE:-ghcr.io/astral-sh/uv:0.7.20}
         UV_INDEX_URL: ${UV_INDEX_URL:-https://pypi.org/simple}
     container_name: deer-flow-langgraph
-    command: sh -c "cd backend && uv sync && allow_blocking='' && if [ \"\${LANGGRAPH_ALLOW_BLOCKING:-0}\" = '1' ]; then allow_blocking='--allow-blocking'; fi && uv run langgraph dev --no-browser \${allow_blocking} --host 0.0.0.0 --port 2024 --n-jobs-per-worker \${LANGGRAPH_JOBS_PER_WORKER:-10} > /app/logs/langgraph.log 2>&1"
+    command: sh -c "cd backend && { (uv sync || (echo '[startup] uv sync failed; recreating .venv and retrying once' && uv venv --allow-existing .venv && uv sync)) && allow_blocking='' && if [ \"\${LANGGRAPH_ALLOW_BLOCKING:-0}\" = '1' ]; then allow_blocking='--allow-blocking'; fi && uv run langgraph dev --no-browser \${allow_blocking} --host 0.0.0.0 --port 2024 --n-jobs-per-worker \${LANGGRAPH_JOBS_PER_WORKER:-10}; } > /app/logs/langgraph.log 2>&1"
     volumes:
       - ../backend/:/app/backend/
       # Preserve the .venv built during Docker image build — mounting the full backend/

docker/docker-compose.yaml

@@ -127,7 +127,7 @@ services:
         UV_INDEX_URL: ${UV_INDEX_URL:-https://pypi.org/simple}
         UV_EXTRAS: ${UV_EXTRAS:-}
     container_name: deer-flow-langgraph
-    command: sh -c 'cd /app/backend && allow_blocking_flag="" && if [ "${LANGGRAPH_ALLOW_BLOCKING:-0}" = "1" ]; then allow_blocking_flag="--allow-blocking"; fi && uv run langgraph dev --no-browser ${allow_blocking_flag} --no-reload --host 0.0.0.0 --port 2024 --n-jobs-per-worker ${LANGGRAPH_JOBS_PER_WORKER:-10}'
+    command: sh -c 'cd /app/backend && allow_blocking="" && if [ "\${LANGGRAPH_ALLOW_BLOCKING:-0}" = "1" ]; then allow_blocking="--allow-blocking"; fi && uv run langgraph dev --no-browser \${allow_blocking} --no-reload --host 0.0.0.0 --port 2024 --n-jobs-per-worker \${LANGGRAPH_JOBS_PER_WORKER:-10}'
     volumes:
       - ${DEER_FLOW_CONFIG_PATH}:/app/backend/config.yaml:ro
       - ${DEER_FLOW_EXTENSIONS_CONFIG_PATH}:/app/backend/extensions_config.json:ro