Engineering Knowledge Base

Technical Engineering Guides & Architecture

In-depth, step-by-step guides on AI agent retry loop prevention, multi-turn trace hierarchies, execution budgets, and RAG pipeline debugging.

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Runtime Control8 min read

How to Stop Runaway AI Agent Retry Loops

When autonomous AI agents fail a tool call or schema validation, naive reflection loops often re-attempt the task repeatedly. Each retry re-sends accumulating conversation history, multiplying token spend non-linearly. This guide explains how to isolate retry loop triggers and enforce runtime circuit breakers.

Key Takeaway
Self-correction loops without hard state bounds compound context size and spend exponentially.
By Observyze Engineering
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Observability7 min read

AI Agent Observability vs LLM Tracing

Traditional LLM monitoring treats requests as isolated input-output pairs. Autonomous agents operate as stateful execution graphs with branching decisions, tool invocations, and dynamic context windows. This article contrasts single-prompt logging with full-lifecycle agent observability.

Key Takeaway
Single-prompt tracing captures isolated API calls; agent observability captures end-to-end execution lineage.
By Observyze Engineering
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Cost6 min read

Execution Budgets for Production AI Agents

Unbounded agent loops can rapidly consume thousands of dollars in API credits. Execution budgets establish deterministic boundaries—such as maximum dollars per trace or maximum step turns—that stop execution paths before budget overruns impact production.

Key Takeaway
Agent spend compounds with conversation history; cost caps must be evaluated in real time at the session level.
By Observyze Engineering
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RAG9 min read

How to Debug a RAG Pipeline Step by Step

When a Retrieval-Augmented Generation (RAG) system outputs an incorrect or hallucinated response, inspecting the model completion alone is insufficient. This guide walks through isolating failures across all five layers: query embedding, vector retrieval, chunk selection, prompt assembly, and generation.

Key Takeaway
Isolate whether an error was caused by retrieval absence or model hallucination by inspecting injected chunk payloads.
By Observyze Engineering
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