more detailed example of how to run and configure

[ah3243]

hi are you able to provide more details on how to run and configure this etc. Maybe some example data. Just to save having to look through the repo to work that out. thanks

[gedion]

@ah3243 - Agreed, the README is not sufficient. I had to look at implementation to understand the inputs.

Here is how I was able to run it with openai model.

import os
import asyncio

from dotenv import load_dotenv
import os

from taxonomy_generator.graph import graph

# Load environment variables from .env file
load_dotenv()


input = {
    "project_name": os.getenv("LANGSMITH_PROJECT"),
    "org_id": os.getenv("LANGSMITH_API_KEY"),
    "days": 3  # Number of days to analyze
}
config = { 
    "configurable": {
        "fast_llm": "openai/gpt-4o-mini"
    }
}
async def ainvoke():
    result = await graph.ainvoke(input, config)
    
    documents = result['documents']
    clusters = result["clusters"]
    messages = result['messages']

    print('document ', documents)
    print('clusters ', clusters)
    print('messages ', messages)

asyncio.run(ainvoke())

[SRP009896]

@ah3243 - Agreed, the README is not sufficient. I had to look at implementation to understand the inputs.

Here is how I was able to run it with openai model.

import os
import asyncio

from dotenv import load_dotenv
import os

from taxonomy_generator.graph import graph

Load environment variables from .env file

load_dotenv()

input = {
"project_name": os.getenv("LANGSMITH_PROJECT"),
"org_id": os.getenv("LANGSMITH_API_KEY"),
"days": 3 # Number of days to analyze
}
config = {
"configurable": {
"fast_llm": "openai/gpt-4o-mini"
}
}
async def ainvoke():
result = await graph.ainvoke(input, config)

documents = result['documents']
clusters = result["clusters"]
messages = result['messages']

print('document ', documents)
print('clusters ', clusters)
print('messages ', messages)

asyncio.run(ainvoke())

Hi there, I'm not really familiar with langgraph and now confused about running this project, could you pls give me any suggestion about the configuration file(.env file) format? and how to run this project