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deer-flow/backend/packages/harness/deerflow/config/__init__.py

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feat: add config modules
2026-01-14 07:15:58 +08:00
from .app_config import get_app_config
feat: add skills api
2026-01-20 13:57:36 +08:00
from .extensions_config import ExtensionsConfig, get_extensions_config
feat: add global memory mechanism for personalized conversations Implement a memory system that stores user context and conversation history in memory.json, uses LLM to summarize conversations, and injects relevant context into system prompts for personalized responses. Key components: - MemoryConfig for configuration management - MemoryUpdateQueue with debounce for batch processing - MemoryUpdater for LLM-based memory extraction - MemoryMiddleware to queue conversations after agent execution - Memory injection into lead agent system prompt Note: Add memory section to config.yaml to enable (see config.example.yaml) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 13:31:05 +08:00
from .memory_config import MemoryConfig, get_memory_config
Refactor base paths with centralized path management (#901) * Initial plan * refactor: centralize path management and improve memory storage configuration * fix: update memory storage path in config.example.yaml for clarity * Initial plan * Address PR #901 review comments: security fixes and documentation improvements Co-authored-by: foreleven <4785594+foreleven@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: foreleven <4785594+foreleven@users.noreply.github.com>
2026-02-25 21:30:33 +08:00
from .paths import Paths, get_paths
feat: add skills system for specialized agent workflows (#6) Implement a skills framework that enables specialized workflows for specific tasks (e.g., PDF processing, web page generation). Skills are discovered from the skills/ directory and automatically mounted in sandboxes with path mapping support. - Add SkillsConfig for configuring skills path and container mount point - Implement dynamic skill loading from SKILL.md files with YAML frontmatter - Add path mapping in LocalSandbox to translate container paths to local paths - Mount skills directory in AIO Docker sandbox containers - Update lead agent prompt to dynamically inject available skills - Add setup documentation and expand config.example.yaml Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-16 14:44:51 +08:00
from .skills_config import SkillsConfig
feat: add LangSmith tracing integration (#878) * feat: add LangSmith tracing integration Add optional LangSmith tracing support that can be enabled via environment variables (LANGSMITH_TRACING, LANGSMITH_API_KEY, LANGSMITH_PROJECT, LANGSMITH_ENDPOINT). When enabled, a LangChainTracer callback is attached to chat models and run metadata is injected for trace tagging. Co-Authored-By: Claude <noreply@anthropic.com> * Update backend/src/config/tracing_config.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update backend/src/agents/lead_agent/agent.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update backend/src/agents/lead_agent/agent.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update backend/src/models/factory.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Add threading lock to ensure thread-safe access to tracing configuration --------- Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-02-21 16:41:34 +08:00
from .tracing_config import get_tracing_config, is_tracing_enabled
feat: add config modules
2026-01-14 07:15:58 +08:00
feat: add global memory mechanism for personalized conversations Implement a memory system that stores user context and conversation history in memory.json, uses LLM to summarize conversations, and injects relevant context into system prompts for personalized responses. Key components: - MemoryConfig for configuration management - MemoryUpdateQueue with debounce for batch processing - MemoryUpdater for LLM-based memory extraction - MemoryMiddleware to queue conversations after agent execution - Memory injection into lead agent system prompt Note: Add memory section to config.yaml to enable (see config.example.yaml) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 13:31:05 +08:00
__all__ = [
"get_app_config",
Refactor base paths with centralized path management (#901) * Initial plan * refactor: centralize path management and improve memory storage configuration * fix: update memory storage path in config.example.yaml for clarity * Initial plan * Address PR #901 review comments: security fixes and documentation improvements Co-authored-by: foreleven <4785594+foreleven@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: foreleven <4785594+foreleven@users.noreply.github.com>
2026-02-25 21:30:33 +08:00
"Paths",
"get_paths",
feat: add global memory mechanism for personalized conversations Implement a memory system that stores user context and conversation history in memory.json, uses LLM to summarize conversations, and injects relevant context into system prompts for personalized responses. Key components: - MemoryConfig for configuration management - MemoryUpdateQueue with debounce for batch processing - MemoryUpdater for LLM-based memory extraction - MemoryMiddleware to queue conversations after agent execution - Memory injection into lead agent system prompt Note: Add memory section to config.yaml to enable (see config.example.yaml) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 13:31:05 +08:00
"SkillsConfig",
"ExtensionsConfig",
"get_extensions_config",
"MemoryConfig",
"get_memory_config",
feat: add LangSmith tracing integration (#878) * feat: add LangSmith tracing integration Add optional LangSmith tracing support that can be enabled via environment variables (LANGSMITH_TRACING, LANGSMITH_API_KEY, LANGSMITH_PROJECT, LANGSMITH_ENDPOINT). When enabled, a LangChainTracer callback is attached to chat models and run metadata is injected for trace tagging. Co-Authored-By: Claude <noreply@anthropic.com> * Update backend/src/config/tracing_config.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update backend/src/agents/lead_agent/agent.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update backend/src/agents/lead_agent/agent.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update backend/src/models/factory.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Add threading lock to ensure thread-safe access to tracing configuration --------- Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-02-21 16:41:34 +08:00
"get_tracing_config",
"is_tracing_enabled",
feat: add global memory mechanism for personalized conversations Implement a memory system that stores user context and conversation history in memory.json, uses LLM to summarize conversations, and injects relevant context into system prompts for personalized responses. Key components: - MemoryConfig for configuration management - MemoryUpdateQueue with debounce for batch processing - MemoryUpdater for LLM-based memory extraction - MemoryMiddleware to queue conversations after agent execution - Memory injection into lead agent system prompt Note: Add memory section to config.yaml to enable (see config.example.yaml) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-03 13:31:05 +08:00
]
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