Overview: The Diagnostic Microscope
KnobScope serves as the diagnostic and intelligence layer of the Dataknobs platform. If Knobs powers experimentation, KnobsScope delivers deep diagnostic insight.
Mission: Provide deep visibility into why A setup functions as it does—linking trial and control through analytical insight.
It serves as Dataknobs' lens for performance and reliability, ensuring each product excels in real-world scenarios.
Core Features
- 🩺 End-to-End Tracing: Visualize the complete prompt → model → output → feedback pipeline.
- 🔍 Error Attribution: Identify failure modes by model, dataset, or user segment.
- 🧠 Behavioral Profiling: Detect drift, bias, hallucinations, or performance regressions.
- 🧭 Context-Level Logging: Capture intermediate reasoning and tool-use in complex agent workflows.
- ⚡ Real-Time Monitoring: Stream metrics and traces from live inference or test runs.
- 🔒 Privacy-Aware Logging: Control what data gets recorded or redacted.
Key Modules
1. Diagnostic Engine
A central service gathers telemetry from Knobs, Kreate, and LLM endpoints. It applies analytics and AI models to spot performance anomalies or quality drops. The results include diagnostic reports, alerts, and annotated traces.
2. Drift & Bias Monitor
Monitors data, model, and content drift instantly. Flags anomalies in AI output tone, bias, or accuracy versus benchmarks.
3. LLM Behavior Profiler
Reviews and categorizes assistant replies by quality, clarity, tone, and accuracy. Supports custom scoring for aspects such as truthfulness, readability, and factual correctness.
4. Root Cause Explorer
Explains why Performance shifted, offering a direct “knob-to-metric” link. For instance: “Precision decreased from increased speed.”
5. Auto-Diagnosis Engine
Recommends steps like “Trim tokens to boost speed.” Connects to Knobs for instant experiment retries.
Key Benefits
- 360° Observability: Deep, unified visibility across data, model, and UX performance.
- Faster Root Cause Discovery: Find performance bottlenecks and anomalies within minutes.
- Data + Model Transparency: Understand how data quality or parameter changes impact outcomes.
- Performance to Business Mapping: Links technical performance with user satisfaction and conversion.
- Proactive Optimization: Auto-detects issues before they affect users or KPIs.