Fill a form in a node of Langraph #21579
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To address the challenge of implementing a form-filling functionality within a node in Langraph that collects multiple user inputs without restarting the graph, you can modify the function responsible for collecting user input to support gathering all necessary inputs in a single session. This involves creating a function that iterates over a list of prompts, collecting responses for each, and then proceeding with the graph's execution without restarting. Here's a concise example of how you might implement this: def collect_user_inputs(prompts):
responses = {}
for prompt in prompts:
response = input(prompt + "\n")
responses[prompt] = response
return responses
# Example usage
prompts = ["What is your name?", "What is your email?", "What is your ID?"]
user_responses = collect_user_inputs(prompts)
print(user_responses) This function, To integrate this into your Langraph workflow, ensure that the node responsible for form filling calls this function and handles the collected data appropriately. This approach prevents the graph from restarting after each input, allowing for a smoother user experience. Remember, the key here is to manage the session effectively, ensuring that user inputs are collected and processed in a way that maintains the flow of the graph without unnecessary restarts. This might involve adjusting how your graph handles session data, particularly if you're working with complex interactions that span multiple nodes.
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Description
I am looking for a way through which i can fill a form in one of the node of Langraph. Lets say I need to get three different inputs from the user and then to proceed further. How can I do that because Langraph returns answer only when it is at END node. But in the middle of the graph at some node, I want to get the information from the user.like,
AI: What is your name?
User: My name is XYZ.
AI: What is your email?
User: My email is xyz.
AI: What is your ID?
User: My ID is 43434343.
After getting info: Move to the next Node.
The problem is every time when user enters an input, the graph starts from initial node.
System Info
langchain-nomic
langchain_community
tiktoken
langchainhub
chromadb
langchain
langgraph
tavily-python
gpt4all
python-dotenv
bs4
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