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What you can do with Auto WWTP ASM Demo

AutoWWTP-ASM is a Python LLM agent workflow that builds and calibrates ASM models for wastewater treatment plants from a task text and spreadsheet data.

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jsdsg666/AutoWWTP-ASM-Demo on GitHub

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What do you want to do?

3 use cases

  • Calibrate an ASM model from a task file

    Run the full ASM workflow on plant data and get a report, calibration results and a final summary.

    View prompt
    Use the AutoWWTP-ASM repo at <repo-folder>/code/langgraph-en to run the task file <task-file> with the LLM variables already set. Expected output: a new output/task-* folder containing asm_report.md, final_result.json and midoutput/calibration.json. Verify that midoutput/sensitivity.json and midoutput/calibration.json both exist before reporting success.

  • Review the ASM plan before calibration runs

    Pause after the plan is written, check or edit asm_plan.md, then let the run continue.

    View prompt
    Use the AutoWWTP-ASM repo in <repo-folder>/code/langgraph-en to run <task-file> with the --hitl-plan option. Expected output: a paused run with midoutput/asm_plan.md ready for review, then the completed asm_report.md. Verify that the plan names the target tank or process section and the target state variables before continuing.

  • Run the ASM workflow from the Codex project package

    Open the Codex project version and ask the agent to run an ASM modeling task.

    View prompt
    Open the autowwtp-asm-codex project at <repo-folder>/code/autowwtp-asm-codex in Codex and read AGENTS.md. Run the ASM modeling task described in <task-file> on the data in <input-file>. Expected output: a report and a final_result.json. Verify that the process checks file exists before reporting success.

How to use Auto WWTP ASM Demo

  1. Check you have what it needs: Python 3.10 or later; An LLM service with an API key, base URL, model name and message class (openai, anthropic or gemini); A task text file and an input spreadsheet such as input/data1.xlsx.
  2. Open jsdsg666/AutoWWTP-ASM-Demo on GitHub and read the README and license.
  3. Install the dependencies with pip install langgraph langchain-core langchain-openai langchain-anthropic langchain-google-genai pandas numpy scipy matplotlib openpyxl markdown-pdf pymoo.
  4. Set the LLM variables in PowerShell, starting with $env:AUTOWWTP_LLM_API_KEY="your-api-key", then set AUTOWWTP_LLM_BASE_URL, AUTOWWTP_LLM_MODEL and AUTOWWTP_LLM_MESSAGE_CLASS as shown in the LLM Configuration section.
  5. Open a terminal in the code/langgraph-en folder of your clone, since the README path is a local Windows path you must replace.
  6. Confirm that your task file in task/ names the data path such as input/data1.xlsx, the modeled object, the target state variables, the boundary conditions and the calibration targets.

These steps come from our top use case, Calibrate an ASM model from a task file, which also has a copy-paste agent prompt.

Auto WWTP ASM Demo alternatives · Best AI repos for Research

About this repo

Requirements

  • Python 3.10 or later
  • An LLM service with an API key, base URL, model name and message class (openai, anthropic or gemini)
  • A task text file and an input spreadsheet such as input/data1.xlsx
  • Ability to edit the README's local Windows path to match your clone location
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Questions about Auto WWTP ASM Demo

What is Auto WWTP ASM Demo?

AutoWWTP-ASM is a Python LLM agent workflow that builds and calibrates ASM models for wastewater treatment plants from a task text and spreadsheet data. It is an open-source project on GitHub: https://github.com/jsdsg666/AutoWWTP-ASM-Demo.

Who is Auto WWTP ASM Demo for?

Environmental engineers and researchers who need ASM model calibration for a wastewater treatment plant and can run Python and set API keys.

What can I do with Auto WWTP ASM Demo?

3 use cases so far, for example: Calibrate an ASM model from a task file; Review the ASM plan before calibration runs; Run the ASM workflow from the Codex project package. Each has steps and a copy-paste agent prompt.

What do I need to run Auto WWTP ASM Demo?

Python 3.10 or later; An LLM service with an API key, base URL, model name and message class (openai, anthropic or gemini); A task text file and an input spreadsheet such as input/data1.xlsx; Ability to edit the README's local Windows path to match your clone location.

What are alternatives to Auto WWTP ASM Demo?

Other hot AI repos in Research: Scientific Agent Skills, Speaker Mem R1, DSH Council, Evo Bot, AI Engineering Course.

Is Auto WWTP ASM Demo safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.