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Library

If you want to use TaskWeaver as a library, you can refer to the following code example:

from taskweaver.app.app import TaskWeaverApp

# This is the folder that contains the taskweaver_config.json file and not the repo root. Defaults to "./project/"
app_dir = "./project/"
app = TaskWeaverApp(app_dir=app_dir)
session = app.get_session()

user_query = "hello, what can you do?"
response_round = session.send_message(user_query)
print(response_round.to_dict())

Essentially, you need to create a TaskWeaverApp object and then get a session object from it. Each time, you can send a message to TaskWeaver by calling session.send_message(user_query). The return value of session.send_message(user_query) is a Round object, which contains the response from TaskWeaver. A round is a conversation round between the user and TaskWeaver, which contains a list of posts.

An example of the Round object is shown below. To better understand the structure, you can refer to the Concepts section.

{
"id": "round-20231201-043134-218a2681",
"user_query": "hello, what can you do?",
"state": "finished",
"post_list": [
{
"id": "post-20231201-043134-10eedcca",
"message": "hello, what can you do?",
"send_from": "User",
"send_to": "Planner",
"attachment_list": []
},
{
"id": "post-20231201-043141-86a2aaff",
"message": "I can help you with various tasks, such as counting rows in a data file, detecting anomalies in a dataset, searching for products on Klarna, summarizing research papers, and pulling data from a SQL database. Please provide more information about the task you want to accomplish, and I'll guide you through the process.",
"send_from": "Planner",
"send_to": "User",
"attachment_list": [
{
"id": "atta-20231201-043141-6bc4da86",
"type": "init_plan",
"content": "1. list the available functions"
},
{
"id": "atta-20231201-043141-6f29f6c9",
"type": "plan",
"content": "1. list the available functions"
},
{
"id": "atta-20231201-043141-76186c7a",
"type": "current_plan_step",
"content": "1. list the available functions"
}
]
}
]
}
tip

If you need to see the intermediate states of the conversation, you need to implement a SessionEventHandler class and pass it at calling session.send_message(user_query, event_handler=your_event_handler). Find more information about the event handler in this section.