* feat: add citation support in research report block and markdown
- Enhanced ResearchReportBlock to fetch citations based on researchId and pass them to the Markdown component.
- Introduced CitationLink component to display citation metadata on hover for links in markdown.
- Implemented CitationCard and CitationList components for displaying citation details and lists.
- Updated Markdown component to handle citation links and inline citations.
- Created HoverCard component for displaying citation information in a tooltip-like manner.
- Modified store to manage citations, including setting and retrieving citations for ongoing research.
- Added CitationsEvent type to handle citations in chat events and updated Message type to include citations.
* fix(log): Enable the logging level when enabling the DEBUG environment variable (#793)
* fix(frontend): render all tool calls in the frontend #796 (#797)
* build(deps): bump jspdf from 3.0.4 to 4.0.0 in /web (#798)
Bumps [jspdf](https://github.com/parallax/jsPDF) from 3.0.4 to 4.0.0.
- [Release notes](https://github.com/parallax/jsPDF/releases)
- [Changelog](https://github.com/parallax/jsPDF/blob/master/RELEASE.md)
- [Commits](https://github.com/parallax/jsPDF/compare/v3.0.4...v4.0.0)
---
updated-dependencies:
- dependency-name: jspdf
dependency-version: 4.0.0
dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
* fix(frontend):added the display of the 'analyst' message #800 (#801)
* fix: migrate from deprecated create_react_agent to langchain.agents.create_agent (#802)
* fix: migrate from deprecated create_react_agent to langchain.agents.create_agent
Fixes#799
- Replace deprecated langgraph.prebuilt.create_react_agent with
langchain.agents.create_agent (LangGraph 1.0 migration)
- Add DynamicPromptMiddleware to handle dynamic prompt templates
(replaces the 'prompt' callable parameter)
- Add PreModelHookMiddleware to handle pre-model hooks
(replaces the 'pre_model_hook' parameter)
- Update AgentState import from langchain.agents in template.py
- Update tests to use the new API
* fix:update the code with review comments
* fix: Add runtime parameter to compress_messages method(#803)
* fix: Add runtime parameter to compress_messages method(#803)
The compress_messages method was being called by PreModelHookMiddleware
with both state and runtime parameters, but only accepted state parameter.
This caused a TypeError when the middleware executed the pre_model_hook.
Added optional runtime parameter to compress_messages signature to match
the expected interface while maintaining backward compatibility.
* Update the code with the review comments
* fix: Refactor citation handling and add comprehensive tests for citation features
* refactor: Clean up imports and formatting across citation modules
* fix: Add monkeypatch to clear AGENT_RECURSION_LIMIT in recursion limit tests
* feat: Enhance citation link handling in Markdown component
* fix: Exclude citations from finish reason handling in mergeMessage function
* fix(nodes): update message handling
* fix(citations): improve citation extraction and handling in event processing
* feat(citations): enhance citation extraction and handling with improved merging and normalization
* fix(reporter): update citation formatting instructions for clarity and consistency
* fix(reporter): prioritize using Markdown tables for data presentation and comparison
---------
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: LoftyComet <1277173875@qq。>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
When NEXT_PUBLIC_API_URL is not explicitly configured, the frontend now
automatically detects the API URL based on the current page's hostname.
This allows accessing DeerFlow from other machines without rebuilding
the frontend.
- Add getBaseURL() helper with runtime window.location detection
- Use same protocol and hostname with default port 8000
- Preserve explicit NEXT_PUBLIC_API_URL configuration when set
- Fallback to localhost:8000 for SSR scenarios
* feat(eval): add report quality evaluation module
Addresses issue #773 - How to evaluate generated report quality objectively.
This module provides two evaluation approaches:
1. Automated metrics (no LLM required):
- Citation count and source diversity
- Word count compliance per report style
- Section structure validation
- Image inclusion tracking
2. LLM-as-Judge evaluation:
- Factual accuracy scoring
- Completeness assessment
- Coherence evaluation
- Relevance and citation quality checks
The combined evaluator provides a final score (1-10) and letter grade (A+ to F).
Files added:
- src/eval/__init__.py
- src/eval/metrics.py
- src/eval/llm_judge.py
- src/eval/evaluator.py
- tests/unit/eval/test_metrics.py
- tests/unit/eval/test_evaluator.py
* feat(eval): integrate report evaluation with web UI
This commit adds the web UI integration for the evaluation module:
Backend:
- Add EvaluateReportRequest/Response models in src/server/eval_request.py
- Add /api/report/evaluate endpoint to src/server/app.py
Frontend:
- Add evaluateReport API function in web/src/core/api/evaluate.ts
- Create EvaluationDialog component with grade badge, metrics display,
and optional LLM deep evaluation
- Add evaluation button (graduation cap icon) to research-block.tsx toolbar
- Add i18n translations for English and Chinese
The evaluation UI allows users to:
1. View quick metrics-only evaluation (instant)
2. Optionally run deep LLM-based evaluation for detailed analysis
3. See grade (A+ to F), score (1-10), and metric breakdown
* feat(eval): improve evaluation reliability and add LLM judge tests
- Extract MAX_REPORT_LENGTH constant in llm_judge.py for maintainability
- Add comprehensive unit tests for LLMJudge class (parse_response,
calculate_weighted_score, evaluate with mocked LLM)
- Pass reportStyle prop to EvaluationDialog for accurate evaluation criteria
- Add researchQueries store map to reliably associate queries with research
- Add getResearchQuery helper to retrieve query by researchId
- Remove unused imports in test_metrics.py
* fix(eval): use resolveServiceURL for evaluate API endpoint
The evaluateReport function was using a relative URL '/api/report/evaluate'
which sent requests to the Next.js server instead of the FastAPI backend.
Changed to use resolveServiceURL() consistent with other API functions.
* fix: improve type accuracy and React hooks in evaluation components
- Fix get_word_count_target return type from Optional[Dict] to Dict since it always returns a value via default fallback
- Fix useEffect dependency issue in EvaluationDialog using useRef to prevent unwanted re-evaluations
- Add aria-label to GradeBadge for screen reader accessibility
* fix: improve config loading resilience for non-localhost access (#510)
- Add DEFAULT_CONFIG fallback to always return valid config even if fetch fails
- Implement retry logic with exponential backoff (max 2 retries) to handle transient failures
- Add 5-second fetch timeout to prevent hanging on unreachable backends
- Improve error logging with clear messages about config fetch status
- Always return DeerFlowConfig (never null) to prevent UI rendering issues
- Add safety checks in input-box component to verify reasoning models before access
- Improve type safety: verify array length before accessing array indices
- Add comprehensive documentation in .env.example with examples for different deployment scenarios
- Document NEXT_PUBLIC_API_URL variable behavior and fallback mechanism
* Apply suggestions from code review
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* fix: add nullish coalescing to prevent TypeScript error in input-box
- Add ?? operator to handle potential undefined value when accessing reasoning[0]
- Fixes TS2322 error: Type 'string | undefined' is not assignable to type 'string | number | Date'
---------
Co-authored-by: Willem Jiang <143703838+willem-bd@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Bug Fix
This PR fixes the issue where max_clarification_rounds parameter was not being passed from the frontend to the backend, causing a TypeError: '<' not supported between instances of 'int' and 'NoneType' error.
Technical Details
The issue was that the frontend was not passing the max_clarification_rounds parameter to the backend API, causing the backend to receive None values and fail during comparison operations. This fix ensures the parameter is properly typed and passed through the entire request chain.
* fix: support local models by making thought field optional in Plan model
- Make thought field optional in Plan model to fix Pydantic validation errors with local models
- Add Ollama configuration example to conf.yaml.example
- Update documentation to include local model support
- Improve planner prompt with better JSON format requirements
Fixes local model integration issues where models like qwen3:14b would fail
due to missing thought field in JSON output.
* feat: Add intelligent clarification feature for research queries
- Add multi-turn clarification process to refine vague research questions
- Implement three-dimension clarification standard (Tech/App, Focus, Scope)
- Add clarification state management in coordinator node
- Update coordinator prompt with detailed clarification guidelines
- Add UI settings to enable/disable clarification feature (disabled by default)
- Update workflow to handle clarification rounds recursively
- Add comprehensive test coverage for clarification functionality
- Update documentation with clarification feature usage guide
Key components:
- src/graph/nodes.py: Core clarification logic and state management
- src/prompts/coordinator.md: Detailed clarification guidelines
- src/workflow.py: Recursive clarification handling
- web/: UI settings integration
- tests/: Comprehensive test coverage
- docs/: Updated configuration guide
* fix: Improve clarification conversation continuity
- Add comprehensive conversation history to clarification context
- Include previous exchanges summary in system messages
- Add explicit guidelines for continuing rounds in coordinator prompt
- Prevent LLM from starting new topics during clarification
- Ensure topic continuity across clarification rounds
Fixes issue where LLM would restart clarification instead of building upon previous exchanges.
* fix: Add conversation history to clarification context
* fix: resolve clarification feature message to planer, prompt, test issues
- Optimize coordinator.md prompt template for better clarification flow
- Simplify final message sent to planner after clarification
- Fix API key assertion issues in test_search.py
* fix: Add configurable max_clarification_rounds and comprehensive tests
- Add max_clarification_rounds parameter for external configuration
- Add comprehensive test cases for clarification feature in test_app.py
- Fixes issues found during interactive mode testing where:
- Recursive call failed due to missing initial_state parameter
- Clarification exited prematurely at max rounds
- Incorrect logging of max rounds reached
* Move clarification tests to test_nodes.py and add max_clarification_rounds to zh.json
* feat: implment backend for adjust report style
* feat: add web part
* fix test cases
* fix: fix typing
---------
Co-authored-by: Henry Li <henry1943@163.com>
LoftyComet
Willem Jiang
Jiahe Wu
jimmyuconn1982
HagonChan
JeffJiang
Abeautifulsnow
DanielWalnut
Lan
Aeolusw
Henry Li
Li Xin
Jiang Feng
He Tao