Synchronize Instances from AgentScope (#29)

deep_research/agent_deep_research/utils.py

@@ -8,6 +8,7 @@ from pydantic import BaseModel
 
 from agentscope.tool import Toolkit, ToolResponse
 
+
 TOOL_RESULTS_MAX_WORDS = 5000
 
 
@@ -219,7 +220,7 @@ def load_prompt_dict() -> dict:
 
     prompt_dict["reasoning_prompt"] = (
         "## Current Subtask:\n{objective}\n"
-        "## Working Plan:\n{meta_planner_agent}\n"
+        "## Working Plan:\n{plan}\n"
         "{knowledge_gap}\n"
         "## Research Depth:\n{depth}"
     )
@@ -281,17 +282,14 @@ def load_prompt_dict() -> dict:
 
     prompt_dict["summarize_hint"] = (
         "Based on your work history above, examine which step in the "
-        "following working meta_planner_agent has been "
-        "completed. Mark the completed "
+        "following working plan has been completed. Mark the completed "
         "step with [DONE] at the end of its line (e.g., k. step k [DONE]) "
         "and leave the uncompleted steps unchanged. You MUST return only "
-        "the updated meta_planner_agent, preserving exactly "
-        "the same format as the "
-        "original meta_planner_agent. Do not include any "
-        "explanations, reasoning, "
+        "the updated plan, preserving exactly the same format as the "
+        "original plan. Do not include any explanations, reasoning, "
         "or section headers such as '## Working Plan:', just output the"
-        "updated meta_planner_agent itself."
-        "\n\n## Working Plan:\n{meta_planner_agent}"
+        "updated plan itself."
+        "\n\n## Working Plan:\n{plan}"
     )
 
     prompt_dict["summarize_inst"] = (
@@ -307,19 +305,17 @@ def load_prompt_dict() -> dict:
         "following report that consolidates and summarizes the essential "
         "findings:\n {intermediate_report}\n\n"
         "Such report has been saved to the {report_path}. "
-        "I will now **proceed to the next item** "
-        "in the working meta_planner_agent."
+        "I will now **proceed to the next item** in the working plan."
     )
 
     prompt_dict["save_report_hint"] = (
-        "The milestone results of the current "
-        "item in working meta_planner_agent "
+        "The milestone results of the current item in working plan "
         "are summarized into the following report:\n{intermediate_report}"
     )
 
     prompt_dict["reflect_instruction"] = (
         "## Work History:\n{conversation_history}\n"
-        "## Working Plan:\n{meta_planner_agent}\n"
+        "## Working Plan:\n{plan}\n"
     )
 
     prompt_dict["subtask_complete_hint"] = (