llm-recipes

Project Plan: Food Order Bot Enhancements and Production Readiness

Startup Team: 4 Engineers (Frontend, Backend, LLM/AI, DevOps/Testing)

Duration: 8 Weeks (February 22, 2025 – April 19, 2025)

Objective:

Enhance the Food Order Bot, resolve known issues, and prepare for a production launch.

Assumptions:

Engineers work 40 hours/week, with a 20% buffer for unforeseen issues.
Each engineer focuses on their expertise but collaborates on critical tasks.
Access to necessary tools (Git, Python, Mistral API, Gradio, FastAPI) and hardware.
Weekly syncs (1 hour) for planning and progress tracking.

Goals:

Ambitious but Realistic: Launch a production-ready Food Order Bot with multi-city support, rate limiting, order history, and improved UI/UX within 8 weeks.
Clear and Achievable: Each milestone builds on the previous, ensuring steady progress and quality.

Detailed Plan

Week 1: Planning and Setup (February 22 – February 28, 2025)

Deliverables:

Finalize project scope and requirements document (based on Spec 4).
Set up development environment, version control (Git), CI/CD pipeline (GitHub Actions).
Update requirements.txt and ensure all dependencies are installed.
Conduct initial code review and refactor for clarity.

Milestone:

Project Kickoff and Environment Ready

Engineer Roles:

All Engineers: Collaborate on planning and setup (8 hours each).
DevOps/Testing: Set up CI/CD pipeline (16 hours).

Timeline:

February 22–28 (1 week)

Week 2–3: Core Enhancements (March 1 – March 14, 2025)

Deliverables:

Order History Feature:
- Backend: Add /orders/history endpoint in mock_server.py and db.py for retrieving past orders.
- Frontend: Implement Gradio command to show order history in gradio_client.py.
Rate Limiting and Quotas:
- Backend: Implement rate limiting using fastapi-limiter or custom middleware in mock_server.py (e.g., 100 requests/hour per user).
- Testing: Unit tests for rate limiting and order history.

Milestone:

Core Features Implemented

Engineer Roles:

Backend Engineer: Order history endpoint and rate limiting (40 hours total over 2 weeks).
Frontend Engineer: Gradio UI updates (30 hours total over 2 weeks).
LLM/AI Engineer: Review LLM tool calls for order history compatibility (20 hours total over 2 weeks).
DevOps/Testing: Write tests and set up CI/CD for new features (40 hours total over 2 weeks).

Timeline:

March 1–14 (2 weeks)

Week 4–5: Multi-City Support and Data Expansion (March 15 – March 28, 2025)

Deliverables:

Multi-City Support:
- Update restaurants.json to include “city” for each restaurant (e.g., New York, Los Angeles, Bengaluru).
- Enhance order_processor.py and llm.py to filter restaurants by city dynamically.
Data Expansion:
- Add sample restaurant data for other cities (e.g., 5 restaurants per city).
- Update filter_restaurants_by_city in order_processor.py to handle multi-city logic.

Milestone:

Multi-City Support Complete

Engineer Roles:

Backend Engineer: Update db.py and order_processor.py for multi-city (40 hours total over 2 weeks).
LLM/AI Engineer: Refine llm.py tools for city-specific queries (30 hours total over 2 weeks).
Frontend Engineer: Update Gradio to display city selection (20 hours total over 2 weeks).
DevOps/Testing: Test multi-city logic and data integrity (40 hours total over 2 weeks).

Timeline:

March 15–28 (2 weeks)

Week 6–7: UI/UX Improvements and Bug Fixes (March 29 – April 11, 2025)

Deliverables:

Gradio Formatting Fix:
- Resolve \n rendering issue in gradio_client.py using HTML or split-line approach.
- Ensure line breaks appear correctly for menu, order summary, etc.
Bug Fixes:
- Address any remaining tool call issues (e.g., price filtering in Rs).
- Fix any performance or stability issues identified during testing.

Milestone:

UI/UX Polished and Bugs Fixed

Engineer Roles:

Frontend Engineer: Gradio formatting fix (40 hours total over 2 weeks).
Backend Engineer: Bug fixes in mock_server.py and order_processor.py (30 hours total over 2 weeks).
LLM/AI Engineer: Adjust llm.py for price filtering (20 hours total over 2 weeks).
DevOps/Testing: Comprehensive testing and performance tuning (40 hours total over 2 weeks).

Timeline:

March 29–April 11 (2 weeks)

Week 8: Production Readiness and Deployment (April 12 – April 19, 2025)

Deliverables:

Production Deployment:
- Deploy FastAPI server to a cloud provider (e.g., AWS, GCP) with Docker.
- Configure Gradio for public access with share=True.
Documentation Update:
- Update Spec 4 and add user manuals, API docs (OpenAPI/Swagger).
Final Testing and Launch:
- Conduct end-to-end testing with real users.
- Launch the Food Order Bot publicly.

Milestone:

Production Launch

Engineer Roles:

DevOps/Testing: Deployment and final testing (40 hours total over 1 week).
Backend Engineer: Dockerize and configure server (30 hours total over 1 week).
Frontend Engineer: Public Gradio setup (20 hours total over 1 week).
LLM/AI Engineer: Final LLM tuning (10 hours total over 1 week).

Timeline:

April 12–19 (1 week)

Mermaid Gantt Chart

Below is a Mermaid Gantt chart representing the timeline and milestones. You can paste this into a Markdown viewer or Mermaid live editor (e.g., Mermaid Live Editor) to visualize it.

gantt
    title Food Order Bot Development Timeline (Feb 22 - Apr 19, 2025)
    dateFormat  YYYY-MM-DD
    axisFormat %b %d

    section Planning and Setup
    Project Kickoff & Environment Ready :done, 2025-02-22, 1w

    section Core Enhancements
    Order History Feature            :active, 2025-03-01, 2w
    Rate Limiting and Quotas         :2025-03-01, 2w

    section Multi-City Support
    Multi-City Support Complete      :2025-03-15, 2w

    section UI/UX Improvements
    UI/UX Polished and Bugs Fixed    :2025-03-29, 2w

    section Production Readiness
    Production Launch                :2025-04-12, 1w

Key Milestones and Deadlines:

February 28, 2025: Project Kickoff and Environment Ready – All tools, repositories, and environments set up.
March 14, 2025: Core Features Implemented – Order history and rate limiting complete.
March 28, 2025: Multi-City Support Complete – Multi-city functionality and data expansion finalized.
April 11, 2025: UI/UX Polished and Bugs Fixed – Gradio formatting fixed, bugs resolved.
April 19, 2025: Production Launch – System deployed to production, tested, and launched publicly.

Engineer Allocation and Collaboration:

Week 1: All engineers collaborate on planning (20% of time), with DevOps/Testing leading CI/CD setup.
Weeks 2–7: Engineers focus on their specialties but pair for cross-functional tasks (e.g., Backend/LLM for tool calls, Frontend/DevOps for testing).
Week 8: DevOps/Testing leads deployment, with all engineers contributing to final testing and documentation.

Ambitious but Realistic Goals:

Launch a Production-Ready Product: Deploy a scalable, user-friendly Food Order Bot within 8 weeks, supporting multi-city operations and advanced features.
Maintain Code Quality: Achieve 100% linting compliance and consistent formatting, with automated testing covering 80% of functionality.
User Experience: Ensure 95% of user queries (e.g., login, ordering, city filtering) are handled correctly via LLM tool calls.
Scalability: Handle 1,000 concurrent users with rate limiting and SQLite optimization.

Notes:

Risks: Delays in LLM API response times, Gradio UI issues, or third-party API downtime could push timelines. Buffer 20% extra time for each milestone.
Tools: Use Git for version control, Slack for communication, and Jira/Trello for task tracking.
Testing: Weekly integration tests by DevOps/Testing, with final user testing in Week 8.

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