Files
deer-flow/.env.example
CHANGXUBO 1bfec3ad05 feat: Enhance chat streaming and tool call processing (#498)
* 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

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2025-08-16 21:03:12 +08:00

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# Application Settings
DEBUG=True
APP_ENV=development
# docker build args
NEXT_PUBLIC_API_URL="http://localhost:8000/api"
AGENT_RECURSION_LIMIT=30
# CORS settings
# Comma-separated list of allowed origins for CORS requests
# Example: ALLOWED_ORIGINS=http://localhost:3000,http://example.com
ALLOWED_ORIGINS=http://localhost:3000
# Enable or disable MCP server configuration, the default is false.
# Please enable this feature before securing your front-end and back-end in a managed environment.
# Otherwise, you system could be compromised.
ENABLE_MCP_SERVER_CONFIGURATION=false
# Enable or disable PYTHON_REPL configuration, the default is false.
# Please enable this feature before securing your in a managed environment.
# Otherwise, you system could be compromised.
ENABLE_PYTHON_REPL=false
# Search Engine, Supported values: tavily (recommended), duckduckgo, brave_search, arxiv
SEARCH_API=tavily
TAVILY_API_KEY=tvly-xxx
# BRAVE_SEARCH_API_KEY=xxx # Required only if SEARCH_API is brave_search
# JINA_API_KEY=jina_xxx # Optional, default is None
# Optional, RAG provider
# RAG_PROVIDER=vikingdb_knowledge_base
# VIKINGDB_KNOWLEDGE_BASE_API_URL="api-knowledgebase.mlp.cn-beijing.volces.com"
# VIKINGDB_KNOWLEDGE_BASE_API_AK="AKxxx"
# VIKINGDB_KNOWLEDGE_BASE_API_SK=""
# VIKINGDB_KNOWLEDGE_BASE_RETRIEVAL_SIZE=15
# RAG_PROVIDER=ragflow
# RAGFLOW_API_URL="http://localhost:9388"
# RAGFLOW_API_KEY="ragflow-xxx"
# RAGFLOW_RETRIEVAL_SIZE=10
# RAGFLOW_CROSS_LANGUAGES=English,Chinese,Spanish,French,German,Japanese,Korean # Optional. To use RAGFlow's cross-language search, please separate each language with a single comma
# Optional, volcengine TTS for generating podcast
VOLCENGINE_TTS_APPID=xxx
VOLCENGINE_TTS_ACCESS_TOKEN=xxx
# VOLCENGINE_TTS_CLUSTER=volcano_tts # Optional, default is volcano_tts
# VOLCENGINE_TTS_VOICE_TYPE=BV700_V2_streaming # Optional, default is BV700_V2_streaming
# Option, for langsmith tracing and monitoring
# LANGSMITH_TRACING=true
# LANGSMITH_ENDPOINT="https://api.smith.langchain.com"
# LANGSMITH_API_KEY="xxx"
# LANGSMITH_PROJECT="xxx"
# [!NOTE]
# For model settings and other configurations, please refer to `docs/configuration_guide.md`
# Option, for langgraph mongodb checkpointer
# Enable LangGraph checkpoint saver, supports MongoDB, Postgres
#LANGGRAPH_CHECKPOINT_SAVER=true
# Set the database URL for saving checkpoints
#LANGGRAPH_CHECKPOINT_DB_URL="ongodb://localhost:27017/
#LANGGRAPH_CHECKPOINT_DB_URL=postgresql://localhost:5432/postgres