The factory for [AI agents] your company runs on.

# create a tool and check it
teriyaki tool new invoice-check --runtime python
teriyaki tool validate invoice-check
teriyaki tool test invoice-check

# run it on sample inputs
teriyaki tool run invoice-check \
  --inputs invoice-check/inputs.json --detailed

# package the tool for the runtime
teriyaki tool pack invoice-check --output invoice-check.zip

from teriyaki_tools import Context, tool

SCHEMA = {"type": "object",
          "properties": {"markdown": {"type": "string"}},
          "required": ["markdown"]}

@tool  # validates inputs and outputs against manifest.yaml
def run(inputs: dict, ctx: Context) -> dict:
    text = inputs.get("text") or ctx.files.read_text(inputs["file"])
    ctx.progress(10, "Reading the document")

    plan = ctx.llm.chat_json(system="...", user=text, schema=SCHEMA)
    doc = ctx.docx.from_markdown(plan["markdown"], title="Report")

    key = ctx.files.save("report.docx", doc)
    return {"report": plan["markdown"], "docx": key}

automazioni:
  pianificazioni:
    - id: riepilogo-mattina
      nome: { it: "Riepilogo del mattino", en: "Morning summary" }
      cron: "0 7 * * 1-5"
      fuso: Europe/Rome
      inputs: { azione: riepilogo, giorni: 7 }
  eventi:
    - id: nuova-scadenza
      evento: store.record.creato
      filtro: { collezione: scadenze }
      inputs: { azione: riepilogo, giorni: 7 }