feat: add deep think feature (#311)

* feat: implement backend logic

* feat: implement api/config endpoint

* rename the symbol

* feat: re-implement configuration at client-side

* feat: add client-side of deep thinking

* fix backend bug

* feat: add reasoning block

* docs: update readme

* fix: translate into English

* fix: change icon to lightbulb

* feat: ignore more bad cases

* feat: adjust thinking layout, and implement auto scrolling

* docs: add comments

---------

Co-authored-by: Henry Li <henry1943@163.com>

src/graph/nodes.py

@@ -101,8 +101,10 @@ def planner_node(
             }
         ]
 
-    if AGENT_LLM_MAP["planner"] == "basic":
-        llm = get_llm_by_type(AGENT_LLM_MAP["planner"]).with_structured_output(
+    if configurable.enable_deep_thinking:
+        llm = get_llm_by_type("reasoning")
+    elif AGENT_LLM_MAP["planner"] == "basic":
+        llm = get_llm_by_type("basic").with_structured_output(
             Plan,
             method="json_schema",
             strict=True,
@@ -115,7 +117,7 @@ def planner_node(
         return Command(goto="reporter")
 
     full_response = ""
-    if AGENT_LLM_MAP["planner"] == "basic":
+    if AGENT_LLM_MAP["planner"] == "basic" and not configurable.enable_deep_thinking:
         response = llm.invoke(messages)
         full_response = response.model_dump_json(indent=4, exclude_none=True)
     else: