LangChain
Task Automation Agent with LangChain
Build a task automation agent that creates, assigns, and tracks tasks across your project management workflow — using LangChain.
automationproject managementtasksworkflow
Working Code
from langchain_openai import ChatOpenAIfrom langchain_core.tools import tool
@tooldef create_task(title: str, description: str, assignee: str = "") -> str: """Create a new task in the project.""" task_id = project.create_task(title=title, description=description, assignee=assignee) return f"Task created: #{task_id} - {title}"
@tooldef list_tasks(status: str = "open") -> str: """List tasks filtered by status (open, in_progress, done).""" tasks = project.list_tasks(status=status) return "\n".join(f"#{t.id} [{t.status}] {t.title} -> {t.assignee}" for t in tasks)
@tooldef update_task(task_id: int, status: str) -> str: """Update task status.""" project.update_task(task_id, status=status) return f"Task #{task_id} updated to {status}"
model = ChatOpenAI(model="gpt-4o")model_with_tools = model.bind_tools([create_task, list_tasks, update_task])response = model_with_tools.invoke([ ("system", "You are a project management assistant. Help organize tasks: create new ones, track progress, and update statuses. Be proactive about suggesting task breakdowns."), ("user", "Break down 'Launch new website' into subtasks and assign them to the team"),])Step by Step
1
Install dependencies
Install LangChain and the required tools for this use case.
2
Define your tools
Create the domain-specific tool functions your agent will use to interact with external services.
3
Create the agent and run
Initialize the LangChain agent with your tools, set the system prompt, and execute a query.
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