How to Debug WordPress REST API Errors When an AI Ability Fails
When an AI Ability fails over the WordPress REST API, the error usually tells you a request was rejected without telling you which layer rejected it. Debug…
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APIs, RAG & Development
Developer patterns for API integration, embeddings, retrieval, and debugging.
26 published articlesHow to Sanitize .env Files and Config Snippets Before Asking AI for Help
Sanitizing configuration before AI assistance means replacing every live credential and internal identifier with a role-preserving placeholder, then checking logs, stack traces, and screenshots for the same…
How to Test Local AI Agents for Tool-Calling Reliability
Answer-only grading hides the most common agent failures: the wrong tool called with a plausible-sounding summary. The fix is to capture the tool-call log as a structured…
Prompt Caching and Prefix Caching in Local LLMs: How They Reduce Memory and Latency
Prompt caching and prefix caching both reuse the key-value (KV) state a model already computed for an unchanged prompt prefix, so a new request can skip that…
How to Prevent Secrets from Leaking into RAG Knowledge Bases and Vector Databases
Secrets leak into RAG when ingestion pipelines index everything without classification, scanning, or access metadata. The fix is layered: keep credentials out of source documents, scan and…
How to Stream AI API Responses Without Blocking Your UI
Setting stream: true on an AI API request is only half the work. This guide explains how to enable streaming, parse server-sent events without corrupting split chunks,…
How to Design a Trace ID Strategy for AI Workflows and Debugging
A trace ID strategy is a small contract: one trace ID per unit of autonomous work, one span ID per step, a parent link for every child,…
How to Test RAG Pipelines for Retrieval Quality and Answer Faithfulness
A RAG pipeline can fail in two different places, and one end-to-end score will not tell you which. Test retrieval and generation separately: score Precision@k and Recall@k…
How to Use Ollama Tool Calling and Structured JSON Output
Ollama supports two distinct capabilities that are easy to confuse: tool calling, where a model requests a named function that your app executes, and structured outputs, where…
How to Build a RAG-Powered Content Assistant That Avoids Repeating Existing WordPress Posts
A RAG assistant avoids repeating your WordPress posts by indexing every published article into a vector store and querying it before the model writes a word. The…
How to Use Local Embeddings for Private RAG Without Sending Documents to the Cloud
A retrieval-augmented generation pipeline can run entirely on your own machine, including the embedding step that turns documents into vectors. This guide maps the local-only component stack,…
How to Build a Local RAG Pipeline with Ollama and ChromaDB
A local RAG pipeline uses Ollama to serve both the chat model and the embedding model, and ChromaDB to store and search document vectors, so answers are…