observability
4 Posts
Monitoring the Context Window in LLM Applications
A 2025 guide to measuring, managing, and gating LLM context usage—tokens, occupancy, truncation, and drift. Practical patterns: slot-based memory, RAG, summaries, hard caps, and provider-aware telemetry.…
Optimizing AI Agentic Workflows: Reducing LLM Calls for Enhanced Efficiency
A practical playbook to cut LLM calls—adaptive routing, one-shot multi-head prompts, deterministic tools, precise RAG, and caching—while protecting task success and user experience.…
High-Level Design for a Conversational AI Evaluation Framework (Production Implementation)
A production-ready design for implementing a conversational AI evaluation framework—data models, scoring pipeline, slice dashboards, CI gates, and canary rollout.…
A Practical Framework for Evaluating Conversational Agentic AI Workflows
A production-ready framework to evaluate agentic conversational systems—task outcomes, conversation behaviors, and system reliability—plus datasets, judges, and a CI-friendly harness.…
