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How to run the ASM workflow from the Codex project package with Auto WWTP ASM Demo

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

  • Research
  • Advanced
  • 1 hour 30 minutes
  • From the README
  • Codex

Who it is forA researcher who already works in Codex and wants the AutoWWTP-ASM workflow inside that project.

The problemSwitching between a chat agent and a separate command-line run slows down iterative ASM modeling work.

The outcomeA Codex session that reads AGENTS.md and the agent definitions, then runs an ASM modeling task on your data.

What you need first

  • 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

Steps

  1. Open the code/autowwtp-asm-codex folder as the project in Codex. (inferred, check the README)
  2. Read AGENTS.md and the .codex/agents/*.toml files to see which agents the project defines. (inferred, check the README)
  3. Set the LLM and Python dependencies from the README setup steps before asking Codex to run the workflow. (inferred, check the README)
  4. Ask Codex to run the modeling task on the input spreadsheet and check the output folder for asm_report.md. (inferred, check the README)

Prompt for your agent

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.

Caveat. The README only says this folder is organized for Codex and does not state how to launch its agents, so the steps above are inferred.

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