Build a Governed Promotion Pricing Workflow with LangGraph and FastAPI
Group: Business Requirement
Product Category: AI Engineering
Sub Category: AI Agent Engineer
Solution Available
Source code, datasets, and other related files for the solution will be provided.
Prerequisites
About this Product
A retail team runs 40 to 60 promotional campaigns a month, yet nobody can prove who
approved which price.
What you build
- Planner and pricing agents: a LangGraph graph where a Planner turns a campaign brief into ordered steps and a Pricing Analyst proposes promo prices.
- Verifier loop: margin and pricing policy agents check every proposal, with a bounded revision loop.
- Approval gate and publisher: a tiered human approval gate with separation of duties, then an idempotent publish to a price feed.
- FastAPI service: a REST API with roles, validated campaign briefs and clear 422 errors.
Skills you practise
- Multi agent workflows: typed shared state, graph nodes and versioned plans.
- Durable execution: SQLite checkpoints, crash resume and exactly once publishing.
- Verification and evaluation: deterministic verifiers, planted violations and verifier quality checks.
- Approval and audit: interrupt based approvals and a hash chained, tamper evident audit trail.
Outcome
- Production style system: a tested agent workflow with failure handling, observability and metrics you can explain in an interview.
Interview Q&A Included
1 practice set bundled with this lab
-
Governed Promotion Pricing Workflow Assessment
Category: AI Engineering Subcategory: AI Agent Engineer 71 questionsThis assessment checks what you learned while building a governed promotion pricing workflow with LangGraph, FastAPI and SQLite. Questions are grouped into business scenario and requirements, business rules and validation, …
Resources
The complete brief for a governed promotion pricing workflow: the problem, the actors, the rules and how success is measured.
- Retail scenario: 40 to 60 campaigns a month with no proof of who approved which price
- Actors from requester to auditor, plus the five agents and the mock price feed
- 16 numbered business rules covering margins, approvals, retries and budgets
- Fifteen acceptance criteria that define when the lab is complete
- Data model, API list, security roles and metrics to expose
- Technology stack, project structure and a glossary of domain terms
Topics
Skills
Languages
English
Level
Advanced
Business Domain
Retail and E-commerce Pricing and Promotions
Project Mentors
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