feat(agent):Supports custom agent and chat experience with refactoring (#957)

* feat: add agent management functionality with creation, editing, and deletion

* feat: enhance agent creation and chat experience

- Added AgentWelcome component to display agent description on new thread creation.
- Improved agent name validation with availability check during agent creation.
- Updated NewAgentPage to handle agent creation flow more effectively, including enhanced error handling and user feedback.
- Refactored chat components to streamline message handling and improve user experience.
- Introduced new bootstrap skill for personalized onboarding conversations, including detailed conversation phases and a structured SOUL.md template.
- Updated localization files to reflect new features and error messages.
- General code cleanup and optimizations across various components and hooks.

* Refactor workspace layout and agent management components

- Updated WorkspaceLayout to use useLayoutEffect for sidebar state initialization.
- Removed unused AgentFormDialog and related edit functionality from AgentCard.
- Introduced ArtifactTrigger component to manage artifact visibility.
- Enhanced ChatBox to handle artifact selection and display.
- Improved message list rendering logic to avoid loading states.
- Updated localization files to remove deprecated keys and add new translations.
- Refined hooks for local settings and thread management to improve performance and clarity.
- Added temporal awareness guidelines to deep research skill documentation.

* feat: refactor chat components and introduce thread management hooks

* feat: improve artifact file detail preview logic and clean up console logs

* feat: refactor lead agent creation logic and improve logging details

* feat: validate agent name format and enhance error handling in agent setup

* feat: simplify thread search query by removing unnecessary metadata

* feat: update query key in useDeleteThread and useRenameThread for consistency

* feat: add isMock parameter to thread and artifact handling for improved testing

* fix: reorder import of setup_agent for consistency in builtins module

* feat: append mock parameter to thread links in CaseStudySection for testing purposes

* fix: update load_agent_soul calls to use cfg.name for improved clarity

* fix: update date format in apply_prompt_template for consistency

* feat: integrate isMock parameter into artifact content loading for enhanced testing

* docs: add license section to SKILL.md for clarity and attribution

* feat(agent): enhance model resolution and agent configuration handling

* chore: remove unused import of _resolve_model_name from agents

* feat(agent): remove unused field

* fix(agent): set default value for requested_model_name in _resolve_model_name function

* feat(agent): update get_available_tools call to handle optional agent_config and improve middleware function signature

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>

backend/src/agents/lead_agent/prompt.py

@@ -1,5 +1,6 @@
 from datetime import datetime
 
+from src.config.agents_config import load_agent_soul
 from src.skills import load_skills
 
 
@@ -148,9 +149,10 @@ bash("npm test")  # Direct execution, not task()
 
 SYSTEM_PROMPT_TEMPLATE = """
 <role>
-You are DeerFlow 2.0, an open-source super agent.
+You are {agent_name}, an open-source super agent.
 </role>
 
+{soul}
 {memory_context}
 
 <thinking_style>
@@ -280,9 +282,12 @@ Recent breakthroughs in language models have also accelerated progress
 """
 
 
-def _get_memory_context() -> str:
+def _get_memory_context(agent_name: str | None = None) -> str:
     """Get memory context for injection into system prompt.
 
+    Args:
+        agent_name: If provided, loads per-agent memory. If None, loads global memory.
+
     Returns:
         Formatted memory context string wrapped in XML tags, or empty string if disabled.
     """
@@ -294,7 +299,7 @@ def _get_memory_context() -> str:
         if not config.enabled or not config.injection_enabled:
             return ""
 
-        memory_data = get_memory_data()
+        memory_data = get_memory_data(agent_name)
         memory_content = format_memory_for_injection(memory_data, max_tokens=config.max_injection_tokens)
 
         if not memory_content.strip():
@@ -309,7 +314,7 @@ def _get_memory_context() -> str:
         return ""
 
 
-def get_skills_prompt_section() -> str:
+def get_skills_prompt_section(available_skills: set[str] | None = None) -> str:
     """Generate the skills prompt section with available skills list.
 
     Returns the <skill_system>...</skill_system> block listing all enabled skills,
@@ -328,6 +333,9 @@ def get_skills_prompt_section() -> str:
     if not skills:
         return ""
 
+    if available_skills is not None:
+        skills = [skill for skill in skills if skill.name in available_skills]
+
     skill_items = "\n".join(
         f"    <skill>\n        <name>{skill.name}</name>\n        <description>{skill.description}</description>\n        <location>{skill.get_container_file_path(container_base_path)}</location>\n    </skill>" for skill in skills
     )
@@ -350,9 +358,17 @@ You have access to skills that provide optimized workflows for specific tasks. E
 </skill_system>"""
 
 
-def apply_prompt_template(subagent_enabled: bool = False, max_concurrent_subagents: int = 3) -> str:
+def get_agent_soul(agent_name: str | None) -> str:
+    # Append SOUL.md (agent personality) if present
+    soul = load_agent_soul(agent_name)
+    if soul:
+        return f"<soul>\n{soul}\n</soul>\n" if soul else ""
+    return ""
+
+
+def apply_prompt_template(subagent_enabled: bool = False, max_concurrent_subagents: int = 3, *, agent_name: str | None = None, available_skills: set[str] | None = None) -> str:
     # Get memory context
-    memory_context = _get_memory_context()
+    memory_context = _get_memory_context(agent_name)
 
     # Include subagent section only if enabled (from runtime parameter)
     n = max_concurrent_subagents
@@ -377,10 +393,12 @@ def apply_prompt_template(subagent_enabled: bool = False, max_concurrent_subagen
     )
 
     # Get skills section
-    skills_section = get_skills_prompt_section()
+    skills_section = get_skills_prompt_section(available_skills)
 
     # Format the prompt with dynamic skills and memory
     prompt = SYSTEM_PROMPT_TEMPLATE.format(
+        agent_name=agent_name or "DeerFlow 2.0",
+        soul=get_agent_soul(agent_name),
         skills_section=skills_section,
         memory_context=memory_context,
         subagent_section=subagent_section,