This commit fixes a potential AttributeError in ChatStreamManager.__init__().
Problem:
- When checkpoint_saver=True and db_uri=None, the code attempts to call
self.db_uri.startswith() on line 56, which raises AttributeError
- Line 56: if self.db_uri.startswith("mongodb://"):
This fails with "AttributeError: 'NoneType' object has no attribute 'startswith'"
Root Cause:
- The __init__ method accepts db_uri: Optional[str] = None
- If None is passed, self.db_uri is set to None
- The code doesn't check if db_uri is None before calling .startswith()
Solution:
- Add explicit None check before string prefix checks
- Provide clear warning message when db_uri is None but checkpoint_saver is enabled
- This prevents AttributeError and helps users understand the configuration issue
Changes:
```python
# Before:
if self.checkpoint_saver:
if self.db_uri.startswith("mongodb://"):
# After:
if self.checkpoint_saver:
if self.db_uri is None:
self.logger.warning(
"Checkpoint saver is enabled but db_uri is None. "
"Please provide a valid database URI or disable checkpoint saver."
)
elif self.db_uri.startswith("mongodb://"):
```
This makes the error handling more robust and provides better user feedback.
Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* 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>
This PR addresses token limit issues when web_search is enabled with include_raw_content by implementing a two-pronged approach: changing the default behavior to exclude raw content and adding compression logic for when raw content is included.
* feat: Implement DeerFlow API server with chat streaming, Langgraph orchestration, and various content generation capabilities.
* Apply suggestions from code review
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* - Use MongoDB `$push` with `$each` to append new messages to existing threads
- Use PostgreSQL jsonb concatenation operator to merge messages instead of overwriting
- Update comments to reflect append behavior in both database implementations
* fix: updated the unit tests with the recent changes
---------
Co-authored-by: Bink <992359580@qq.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: YikB <54528024+Bin1783@users.noreply.github.com>
* feat: Implement DeerFlow API server with chat streaming, Langgraph orchestration, and various content generation capabilities.
* Apply suggestions from code review
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* - Use MongoDB `$push` with `$each` to append new messages to existing threads
- Use PostgreSQL jsonb concatenation operator to merge messages instead of overwriting
- Update comments to reflect append behavior in both database implementations
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Fixes a critical bug in the from_runnable_config() method where falsy values (like False, 0, and empty strings) were being incorrectly filtered out, causing configuration fields to revert to their default values. The fix changes the filter condition from if v to if v is not None, ensuring only None values are skipped.
* fix(config): Add support for MCP server configuration parameters
* refact: rename the sse_readtimeout to sse_read_timeout
* update the code with review comments
* update the MCP document for the latest change
This pull request adds support for custom HTTP headers to the MCP server configuration and ensures that these headers are properly validated and included when adding new MCP servers. The changes are primarily focused on extending the schema and data handling for MCP server metadata.
* 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: 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(podcast): add fallback for models without json_object support (#747)
Models like Kimi K2 don't support response_format.type: json_object.
Add try-except to fall back to regular prompting with JSON parsing
when BadRequestError mentions json_object not supported.
- Add fallback to prompting + repair_json_output parsing
- Re-raise other BadRequestError types
- Add unit tests for script_writer_node with 100% coverage
* Apply suggestions from code review
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
* fixes: the unit test error of test_script_writer_node.py
---------
Co-authored-by: Copilot <175728472+Copilot@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
* test: add unit tests for global connection pool (Issue #778)
- Add TestLifespanFunction class with 9 tests for lifespan management:
- PostgreSQL/MongoDB pool initialization success/failure
- Cleanup on shutdown
- Skip initialization when not configured
- Add TestGlobalConnectionPoolUsage class with 4 tests:
- Using global pools when available
- Fallback to per-request connections
- Fix missing dict_row import in app.py (bug from PR #757)
* Apply suggestions from code review
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
---------
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
