Offline Testing & Quality Strategies for GenAI Chatbots

flowchart TB
    subgraph Problem["The GenAI Testing Problem"]
        A["Non-deterministic outputs"] --> D["Traditional testing fails"]
        B["Silent quality degradation"] --> D
        C["Expensive API calls per test"] --> D
    end

    subgraph Solution["Offline Testing Solution"]
        D --> E["Structured test pyramid"]
        E --> F["70% Deterministic tests — $0"]
        E --> G["20% Component replay — $0"]
        E --> H["8% Local model smoke — $0"]
        E --> I["2% Paid LLM gate — ~$15"]
    end

    subgraph Outcome["Outcome"]
        F --> J["Catch 95% of regressions<br/>at < $15 per release"]
        G --> J
        H --> J
        I --> J
    end

    style Problem fill:#ff6b6b,color:#fff
    style Solution fill:#4ecdc4,color:#fff
    style Outcome fill:#45b7d1,color:#fff

graph LR
    ROOT["Offline-Testing-Quality-Strategies/"]

    ROOT --> R["README.md<br/><i>This file — overview & navigation</i>"]
    ROOT --> F1["01-offline-testing-types-deep-dive.md<br/><i>8 testing types with full walkthroughs</i>"]
    ROOT --> F2["02-quality-over-quantity-philosophy.md<br/><i>Why 500 curated cases beat 10K random queries</i>"]
    ROOT --> F3["03-end-to-end-integration-testing.md<br/><i>8 full-pipeline test scenarios</i>"]
    ROOT --> F4["04-edge-case-testing-playbook.md<br/><i>7 categories of edge cases</i>"]
    ROOT --> F5["05-prompt-optimization-offline-workflow.md<br/><i>Structured prompt improvement without Bedrock burn</i>"]
    ROOT --> F6["06-specialized-testing-strategies.md<br/><i>Latency, bias, drift, cost modeling, multi-prompt</i>"]
    ROOT --> F7["07-interview-qa-scenarios.md<br/><i>25 Q&A pairs in STAR format</i>"]

    style ROOT fill:#2d3436,color:#fff
    style R fill:#636e72,color:#fff
    style F1 fill:#0984e3,color:#fff
    style F2 fill:#00b894,color:#fff
    style F3 fill:#6c5ce7,color:#fff
    style F4 fill:#e17055,color:#fff
    style F5 fill:#fdcb6e,color:#333
    style F6 fill:#00cec9,color:#fff
    style F7 fill:#e84393,color:#fff

graph TB
    subgraph Layer0["Layer 0: Deterministic Static Tests — $0 cost"]
        L0A["Regex pattern matching"]
        L0B["Schema validation"]
        L0C["Guardrail rule checks"]
        L0D["Prompt template rendering"]
    end

    subgraph Layer1["Layer 1: Component Replay Tests — $0 cost"]
        L1A["Intent classifier eval"]
        L1B["Retriever recall/MRR eval"]
        L1C["Memory entity preservation"]
        L1D["Response format validation"]
    end

    subgraph Layer2["Layer 2: Local Model Smoke Tests — $0 cost"]
        L2A["Ollama + Llama 3"]
        L2B["Prompt formatting checks"]
        L2C["Section ordering validation"]
        L2D["Forbidden string detection"]
    end

    subgraph Layer3["Layer 3: Paid Model Gate — ~$15/run"]
        L3A["Stratified golden dataset<br/>500 curated cases"]
        L3B["BERTScore + ROUGE-L"]
        L3C["Hallucination detection"]
        L3D["Per-intent quality gates"]
    end

    subgraph Layer4["Layer 4: Production Validation"]
        L4A["Shadow mode — 3-7 days"]
        L4B["Canary — 1%→10%→50%→100%"]
        L4C["A/B testing — 7+ days"]
        L4D["Continuous monitoring"]
    end

    Layer0 -->|"Pass"| Layer1
    Layer1 -->|"Pass"| Layer2
    Layer2 -->|"Pass"| Layer3
    Layer3 -->|"Pass"| Layer4

    style Layer0 fill:#00b894,color:#fff
    style Layer1 fill:#00cec9,color:#fff
    style Layer2 fill:#0984e3,color:#fff
    style Layer3 fill:#e17055,color:#fff
    style Layer4 fill:#6c5ce7,color:#fff