extract generic tools from agentic idp

lib/idp_common_pkg/idp_common/extraction/agentic_idp.py

@@ -37,6 +37,11 @@
 )
 
 from idp_common.bedrock.client import CACHEPOINT_SUPPORTED_MODELS
+from idp_common.utils.strands_agent_tools.todo_list import (
+    create_todo_list,
+    update_todo,
+    view_todo_list,
+)
 
 # Use AWS Lambda Powertools Logger for structured logging
 # Automatically logs as JSON with Lambda context, request_id, timestamp, etc.
@@ -404,77 +409,6 @@ def patch_buffer_data(patches: list[dict[str, Any]], agent: Agent) -> str:
     return f"Successfully patched {str(patched_data)[100:]}...."
 
 
-@tool
-def create_todo_list(todos: list[str], agent: Agent) -> str:
-    """Create a new todo list to track your extraction tasks. Use this to plan your work, especially for large documents.
-
-    Args:
-        todos: List of task descriptions to track (e.g., ["Extract rows 1-100", "Extract rows 101-200"])
-
-    Example:
-        create_todo_list(["Extract first 100 rows", "Extract rows 101-200", "Extract rows 201-300", "Validate and finalize"], agent)
-    """
-    todo_list = [{"task": task, "completed": False} for task in todos]
-    agent.state.set("todo_list", todo_list)
-    logger.info("Created todo list", extra={"todo_count": len(todo_list)})
-    return f"Created todo list with {len(todo_list)} tasks:\n" + "\n".join(
-        f"{i + 1}. [ ] {item['task']}" for i, item in enumerate(todo_list)
-    )
-
-
-@tool
-def update_todo(task_index: int, completed: bool, agent: Agent) -> str:
-    """Mark a todo item as completed or not completed.
-
-    Args:
-        task_index: Index of the task to update (1-based, matching the list display)
-        completed: True to mark as completed, False to mark as incomplete
-
-    Example:
-        update_todo(1, True, agent)  # Mark first task as completed
-    """
-    todo_list: list[dict[str, Any]] | None = agent.state.get("todo_list")
-
-    if not todo_list:
-        return "No todo list found. Create one first using create_todo_list."
-
-    # Convert to 0-based index
-    index = task_index - 1
-
-    if index < 0 or index >= len(todo_list):
-        return f"Invalid task index {task_index}. Valid range: 1-{len(todo_list)}"
-
-    todo_list[index]["completed"] = completed
-    agent.state.set("todo_list", todo_list)
-
-    status = "completed" if completed else "incomplete"
-    logger.info(
-        f"Updated todo {task_index}",
-        extra={"task": todo_list[index]["task"], "completed": completed},
-    )
-    return f"Task {task_index} marked as {status}: {todo_list[index]['task']}"
-
-
-@tool
-def view_todo_list(agent: Agent) -> str:
-    """View your current todo list with completion status."""
-    todo_list: list[dict[str, Any]] | None = agent.state.get("todo_list")
-
-    if not todo_list:
-        return "No todo list found. Create one using create_todo_list to track your extraction tasks."
-
-    completed_count = sum(1 for item in todo_list if item["completed"])
-    total_count = len(todo_list)
-
-    result = f"Todo List ({completed_count}/{total_count} completed):\n"
-    result += "\n".join(
-        f"{i + 1}. [{'✓' if item['completed'] else ' '}] {item['task']}"
-        for i, item in enumerate(todo_list)
-    )
-
-    return result
-
-
 SYSTEM_PROMPT = """
 You are a useful assistant that helps turn unstructured data into structured data using the provided tools.
 

lib/idp_common_pkg/idp_common/utils/strands_agent_tools/todo_list.py

@@ -0,0 +1,79 @@
+import os
+from aws_lambda_powertools import Logger
+from typing_extensions import Any
+from strands import Agent, tool
+
+logger = Logger(service="agentic_idp", level=os.getenv("LOG_LEVEL", "INFO"))
+
+@tool
+def update_todo(task_index: int, completed: bool, agent: Agent) -> str:
+    """Mark a todo item as completed or not completed.
+
+    Args:
+        task_index: Index of the task to update (1-based, matching the list display)
+        completed: True to mark as completed, False to mark as incomplete
+
+    Example:
+        update_todo(1, True, agent)  # Mark first task as completed
+    """
+    todo_list: list[dict[str, Any]] | None = agent.state.get("todo_list")
+
+    if not todo_list:
+        return "No todo list found. Create one first using create_todo_list."
+
+    # Convert to 0-based index
+    index = task_index - 1
+
+    if index < 0 or index >= len(todo_list):
+        return f"Invalid task index {task_index}. Valid range: 1-{len(todo_list)}"
+
+    todo_list[index]["completed"] = completed
+    agent.state.set("todo_list", todo_list)
+
+    status = "completed" if completed else "incomplete"
+    logger.info(
+        f"Updated todo {task_index}",
+        extra={"task": todo_list[index]["task"], "completed": completed},
+    )
+    return f"Task {task_index} marked as {status}: {todo_list[index]['task']}"
+
+
+
+
+@tool
+def view_todo_list(agent: Agent) -> str:
+    """View your current todo list with completion status."""
+    todo_list: list[dict[str, Any]] | None = agent.state.get("todo_list")
+
+    if not todo_list:
+        return "No todo list found. Create one using create_todo_list to track your extraction tasks."
+
+    completed_count = sum(1 for item in todo_list if item["completed"])
+    total_count = len(todo_list)
+
+    result = f"Todo List ({completed_count}/{total_count} completed):\n"
+    result += "\n".join(
+        f"{i + 1}. [{'✓' if item['completed'] else ' '}] {item['task']}"
+        for i, item in enumerate(todo_list)
+    )
+
+    return result
+
+
+
+@tool
+def create_todo_list(todos: list[str], agent: Agent) -> str:
+    """Create a new todo list to track your extraction tasks. Use this to plan your work, especially for large documents.
+
+    Args:
+        todos: List of task descriptions to track (e.g., ["Extract rows 1-100", "Extract rows 101-200"])
+
+    Example:
+        create_todo_list(["Extract first 100 rows", "Extract rows 101-200", "Extract rows 201-300", "Validate and finalize"], agent)
+    """
+    todo_list = [{"task": task, "completed": False} for task in todos]
+    agent.state.set("todo_list", todo_list)
+    logger.info("Created todo list", extra={"todo_count": len(todo_list)})
+    return f"Created todo list with {len(todo_list)} tasks:\n" + "\n".join(
+        f"{i + 1}. [ ] {item['task']}" for i, item in enumerate(todo_list)
+    )