* 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
- 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.
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* feat:Add context compress
* feat: Add unit test
* feat: add unit test for context manager
* feat: add postprocessor param && code format
* feat: add configuration guide
* fix: fix the configuration_guide
* fix: fix the unit test
* fix: fix the default value
* feat: add test and log for context_manager
* add searx/searxng support
* nit
* Fix indentation in search.py for readability
* Clean up imports in search.py
Removed unused imports from search.py
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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* feat:support config tavily search results
* feat: support config tavily search results
* feat: update the default value of include_images
* fix: fix the test
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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* feat: add Google AI Studio API support with platform-based detection
* chore: update configuration_guide.md
* fix the uv.lock formate error
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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* feat: Implement MilvusRetriever with embedding model and resource management
* chore: Update configuration and loader files for consistency
* chore: Clean up test_milvus.py for improved readability and organization
* feat: Add tests for DashscopeEmbeddings query and document embedding methods
* feat: Add tests for embedding model initialization and example file loading in MilvusProvider
* chore: Remove unused imports and clean up test_milvus.py for better readability
* chore: Clean up test_milvus.py for improved readability and organization
* chore: Clean up test_milvus.py for improved readability and organization
* fix: replace print statements with logging in recursion limit function
* Implement feature X to enhance user experience and optimize performance
* refactor: clean up unused imports and comments in AboutTab component
* Implement feature X to enhance user experience and fix bug Y in module Z
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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* fix: using mongomock for the checkpoint test
* Add postgres mock setting to the unit test
* Added utils file of postgres_mock_utils
* fixed the runtime loading error of deerflow server
* feat: Enhance chat streaming and tool call processing
- Added support for MongoDB checkpointer in the chat streaming workflow.
- Introduced functions to process tool call chunks and sanitize arguments.
- Improved event message creation with additional metadata.
- Enhanced error handling for JSON serialization in event messages.
- Updated the frontend to convert escaped characters in tool call arguments.
- Refactored the workflow input preparation and initial message processing.
- Added new dependencies for MongoDB integration and tool argument sanitization.
* fix: Update MongoDB checkpointer configuration to use LANGGRAPH_CHECKPOINT_DB_URL
* feat: Add support for Postgres checkpointing and update README with database recommendations
* feat: Implement checkpoint saver functionality and update MongoDB connection handling
* refactor: Improve code formatting and readability in app.py and json_utils.py
* refactor: Clean up commented code and improve formatting in server.py
* refactor: Remove unused imports and improve code organization in app.py
* refactor: Improve code organization and remove unnecessary comments in app.py
* chore: use langgraph-checkpoint-postgres==2.0.21 to avoid the JSON convert issue in the latest version, implement chat stream persistant with Postgres
* feat: add MongoDB and PostgreSQL support for LangGraph checkpointing, enhance environment variable handling
* fix: update comments for clarity on Windows event loop policy
* chore: remove empty code changes in MongoDB and PostgreSQL checkpoint tests
* chore: clean up unused imports and code in checkpoint-related files
* chore: remove empty code changes in test_checkpoint.py
* chore: remove empty code changes in test_checkpoint.py
* chore: remove empty code changes in test_checkpoint.py
* test: update status code assertions in MCP endpoint tests to allow for 403 responses
* test: update MCP endpoint tests to assert specific status codes and enable MCP server configuration
* chore: remove unnecessary environment variables from unittest workflow
* fix: invert condition for MCP server configuration check to raise 403 when disabled
* chore: remove pymongo from test dependencies in uv.lock
* chore: optimize the _get_agent_name method
* test: enhance ChatStreamManager tests for PostgreSQL and MongoDB initialization
* test: add persistence tests for ChatStreamManager with PostgreSQL and MongoDB
* test: add unit tests for ChatStreamManager initialization with PostgreSQL and MongoDB
* test: enhance persistence tests for ChatStreamManager with PostgreSQL and MongoDB to verify message aggregation
* test: add unit tests for ChatStreamManager with PostgreSQL and MongoDB
* test: add unit tests for ChatStreamManager initialization with PostgreSQL and MongoDB
* test: add unit tests for ChatStreamManager initialization with PostgreSQL and MongoDB
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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* fix: update README and configuration guide for new model support and reasoning capabilities
* fix: format code for consistency in agent and node files
* fix: update test cases for environment variable handling in llm configuration
* fix: refactor message chunk conversion functions for improved clarity and maintainability
* refactor: remove enable_thinking parameter from LLM configuration functions
* chore: update agent-LLM mapping for consistency
* chore: update LLM configuration handling for improved clarity
* test: add unit tests for Dashscope message chunk conversion and LLM configuration
* test: add unit tests for message chunk conversion in Dashscope
* test: add unit tests for message chunk conversion in Dashscope
* chore: remove unused imports from test_dashscope.py
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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* fix:env AGENT_RECURSION_LIMIT not work
* fix:add test
* black tests/unit/config/test_configuration.py
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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* feat: add support for 'unknown' message agent in MessageListItem and Message type
* fix: update default agent name from 'unknown' to 'planner' in workflow generator
* fix: remove handling for 'unknown' agent in MessageListItem
* fix: remove 'unknown' agent from Message interface
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Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
* feat: disable the MCP server configuation by default
* Fixed the lint and test errors
* fix the lint error
* feat:update the mcp config documents and tests
* fixed the lint errors
jimmyuconn1982
Fancy-hjyp
HagonChan
Gordon
Chayton Bai
lele3436
Willem Jiang
CHANGXUBO
jimma
Qiyuan Jiao
12november
Anoyer-lzh
zgjja
orifake
suntp
HansleCho
Zhonghao Liu
殷逸维
道心坚定韩道友
Affan Shaikhsurab
DanielWalnut
道心坚定韩道友
Kuro Akuta
Shiwen Cheng