Invoice Processor

Overview

A sequential pipeline that extracts structured data from raw invoice text or images using an LLM agent with calculator tools, then validates totals with a deterministic tool agent at zero token cost. Middleware adds audit trails with request IDs and cost tracking. Supports retry on transient failures and parallel processing of multiple invoices.

Use cases

Architecture

Main template files

Install these files with connic init my-project --templates=invoice. The CLI places agent definitions in a folder named after the template under agents/.

invoice/
  agents/
    invoice-extractor.yaml
    invoice-validator.yaml
    invoice-pipeline.yaml
  tools/
    invoice_tools.py
  middleware/
    invoice-extractor.py
  schemas/
    invoice.json
  requirements.txt
  README.md

Get started

Install the template, create a Connic project, and deploy through a connected Git repository or the CLI.

1. 1

   Install and scaffold

   Install the SDK and create a project from this template.

   terminal

   Copy

   pip install connic-composer-sdk
   connic init my-project --templates=invoice

   Then cd my-project

2. 2

   Deploy

   Choose a deployment method. A connected Git repository deploys on push; use the CLI for projects without a connected Git repository.

   Git integration

   1. 1

      In Connic: Project Settings → Git & Environments, connect the GitHub repository

   2. 2

      On the same page, map a branch (e.g. main) to the Production environment

   3. 3

      Push the scaffolded project to that repository

   terminal

   Copy

   git add .
   git commit -m "Add Invoice Processor template"
   git push origin main

   CLI deploy

   1. 1

      In Connic: Project Settings → API Keys & MCP Auth, create an API key and copy project ID

   2. 2

      Run connic login in the project folder

   3. 3

      Use connic dev to try with hot-reload, connic test to run suites, or connic deploy for production

   terminal

   Copy

   connic login
   connic dev     # Ephemeral dev env with hot-reload
   connic test    # Run declarative test suites
   connic deploy  # Deploy to production

3. 3

   Connect and configure

   Add an HTTP Webhook (sync) connector for real-time invoice processing. POST invoice data to the webhook URL and receive the structured extraction result in the response. Use a connic/* model, or add BYOK credentials under Project Settings → LLM Provider.

   Full connector setup guideQuickstart guideConnector docs