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f0f10b6092
## Summary - **Backend**: `_iter_session_completion_events` in `agent_api.py` was filtering out `user_inputs` and `workflow_finished` SSE events, causing agents with UserFillUp components to silently fail in explore mode — the interactive form never appeared, while the same agent worked correctly in run (editor) mode. - **Frontend**: `SessionChat` component in explore mode was missing `DebugContent` children rendering inside `MessageItem`, so even if the backend forwarded the events, the form UI would not render. Added `DebugContent`, `MarkdownContent`, `useAwaitCompentData` hook, and input-disabling logic to match the run mode's `chat/box.tsx` behavior. ## What was changed ### Backend (`api/apps/restful_apis/agent_api.py`) - Line 266: Added `"user_inputs"` and `"workflow_finished"` to the allowed event filter in `_iter_session_completion_events` ### Frontend (`web/src/pages/agent/explore/components/session-chat.tsx`) - Added imports: `DebugContent`, `MarkdownContent`, `useAwaitCompentData`, `useParams` - Added `sendFormMessage` from `useSendSessionMessage()` hook - Added `useAwaitCompentData` hook for form state management - Added `DebugContent` as `MessageItem` children for the latest assistant message (renders UserFillUp form) - Added `MarkdownContent` + submitted values display for previous assistant messages - Updated `NextMessageInput` disabled states to respect `isWaitting` (form submission in progress) ## Test plan - [x] Agent with UserFillUp component (e.g., email draft with send/edit/cancel options) shows interactive form in **explore mode** - [x] Same agent continues to work correctly in **run (editor) mode** - [x] Form submission sends data back to the agent and workflow continues - [x] Input field is disabled while waiting for form submission - [ ] Agents without UserFillUp components are unaffected in explore mode 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: Zhichang Yu <yuzhichang@gmail.com>
(1). Deploy RAGFlow services and images
https://ragflow.io/docs/build_docker_image
(2). Configure the required environment for testing
Install Python dependencies (including test dependencies):
uv sync --python 3.13 --only-group test --no-default-groups --frozen
Activate the environment:
source .venv/bin/activate
Install SDK:
uv pip install sdk/python
Modify the .env file: Add the following code:
COMPOSE_PROFILES=${COMPOSE_PROFILES},tei-cpu
TEI_MODEL=BAAI/bge-small-en-v1.5
RAGFLOW_IMAGE=infiniflow/ragflow:v0.26.2 #Replace with the image you are using
Start the container（wait two minutes）:
docker compose -f docker/docker-compose.yml up -d
(3). Test Elasticsearch
a) Run sdk tests against Elasticsearch:
export HTTP_API_TEST_LEVEL=p2
export HOST_ADDRESS=http://127.0.0.1:9380 # Ensure that this port is the API port mapped to your localhost
pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_sdk_api
b) Run http api tests against Elasticsearch:
pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_http_api
(4). Test Infinity
Modify the .env file:
DOC_ENGINE=${DOC_ENGINE:-infinity}
Start the container:
docker compose -f docker/docker-compose.yml down -v
docker compose -f docker/docker-compose.yml up -d
a) Run sdk tests against Infinity:
DOC_ENGINE=infinity pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_sdk_api
b) Run http api tests against Infinity:
DOC_ENGINE=infinity pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_http_api