Better Prompt (#45)

* Enhance report generation and team leader prompts with conditional output rules for empty sections.

* Update .gitignore and configuration for model adjustments; refine query classification prompt

* Enforce max response length in prompts

* Documentazione tool essenziale per il loro utilizzo da parte degli LLM.

* istruzioni chiare sui tool disponibili nei promt degli agenti

* corretto incongruenze nel report generation prompt

* convertito i promt in file markdown
This commit was merged in pull request #45.
This commit is contained in:
Simo
2025-10-29 15:45:05 +01:00
committed by GitHub
parent 6d0b816033
commit 4ba44abb19
23 changed files with 1199 additions and 221 deletions

View File

@@ -13,7 +13,9 @@ class PlanMemoryTool(Toolkit):
def __init__(self):
self.tasks: list[Task] = []
Toolkit.__init__(self, # type: ignore[call-arg]
instructions="This tool manages an execution plan. Add tasks, get the next pending task, update a task's status (completed, failed) and result, or list all tasks.",
instructions="Provides stateful, persistent memory for the Team Leader. " \
"This is your primary to-do list and state tracker. " \
"Use it to create, execute step-by-step, and record the results of your execution plan.",
tools=[
self.add_tasks,
self.get_next_pending_task,
@@ -23,7 +25,16 @@ class PlanMemoryTool(Toolkit):
)
def add_tasks(self, task_names: list[str]) -> str:
"""Adds multiple new tasks to the plan with 'pending' status."""
"""
Adds one or more new tasks to the execution plan with a 'pending' status.
If a task with the same name already exists, it will not be added again.
Args:
task_names (list[str]): A list of descriptive names for the tasks to be added.
Returns:
str: A confirmation message, e.g., "Added 3 new tasks."
"""
count = 0
for name in task_names:
if not any(t['name'] == name for t in self.tasks):
@@ -32,14 +43,34 @@ class PlanMemoryTool(Toolkit):
return f"Added {count} new tasks."
def get_next_pending_task(self) -> Task | None:
"""Retrieves the first task that is still 'pending'."""
"""
Retrieves the *first* task from the plan that is currently in 'pending' status.
This is used to fetch the next step in the execution plan.
Returns:
Task | None: A Task object (dict) with 'name', 'status', and 'result' keys,
or None if no tasks are pending.
"""
for task in self.tasks:
if task["status"] == "pending":
return task
return None
def update_task_status(self, task_name: str, status: Literal["completed", "failed"], result: str | None = None) -> str:
"""Updates the status and result of a specific task by its name."""
"""
Updates the status and result of a specific task, identified by its unique name.
This is crucial for tracking the plan's progress after a step is executed.
Args:
task_name (str): The exact name of the task to update (must match one from add_tasks).
status (Literal["completed", "failed"]): The new status for the task.
result (str | None, optional): An optional string describing the outcome or result
of the task (e.g., a summary, an error message).
Returns:
str: A confirmation message (e.g., "Task 'Task Name' updated to completed.")
or an error message if the task is not found.
"""
for task in self.tasks:
if task["name"] == task_name:
task["status"] = status
@@ -49,7 +80,14 @@ class PlanMemoryTool(Toolkit):
return f"Error: Task '{task_name}' not found."
def list_all_tasks(self) -> list[str]:
"""Lists all tasks in the plan with their status and result."""
"""
Lists all tasks currently in the execution plan, along with their status and result.
Useful for reviewing the overall plan and progress.
Returns:
list[str]: A list of formatted strings, where each string describes a task
(e.g., "- TaskName: completed (Result: Done.)").
"""
if not self.tasks:
return ["No tasks in the plan."]
return [f"- {t['name']}: {t['status']} (Result: {t.get('result', 'N/A')})" for t in self.tasks]