Category Archives: Anthropic
Web search changes a Claude application from a closed-context model call into a system that can acquire current external evidence during the turn. That is powerful for research, news, changing documentation, product availability, and time-sensitive facts, but it also introduces new trust boundaries. In Claude Engineering, the web search tool should be designed as a […]
Human approval is most effective when it controls a specific consequence rather than functioning as a vague “continue?” button. Claude can plan, summarize, and propose actions at machine speed, but some operations still need accountable human judgment: sending external messages, changing production systems, moving money, deleting data, accepting terms, or using sensitive credentials. In Claude […]
A Model Context Protocol server is not simply a collection of functions exposed to Claude. It becomes an integration boundary through which an agent discovers capabilities, reads data, invokes operations, and potentially reaches systems with real side effects. In Claude Engineering, MCP server design should therefore be approached like public API design: define a narrow […]
The quality of an MCP integration often depends less on the transport than on the contract of each tool. Claude sees a name, description, input schema, and eventually a result. From that limited interface it must decide whether the tool is appropriate, construct valid arguments, interpret the outcome, and determine the next step. In Claude […]
A multi-agent Claude system is useful when one conversation is no longer the right unit of work. Research, code analysis, incident investigation, document review, and other broad tasks can often be decomposed into independent workstreams that benefit from separate context and then recombined. In Claude Engineering, the important architectural decision is not how many agents […]
Parallel tool use can remove a surprising amount of latency from a Claude application, but only when the operations are genuinely independent. Claude may return several tool calls in one assistant turn, allowing the application to execute them concurrently and return all results together. In Claude Engineering, parallelism should be treated as a scheduling decision […]
Claude API capacity planning is not just a matter of choosing a monthly budget. Anthropic applies both spend limits and rate limits, and the rate limits are expressed across requests and token flow rather than one simple request-per-minute number. In Claude Engineering, a reliable rollout therefore starts by understanding the shape of demand: how many […]
Claude vision is most useful when an image is part of a larger workflow rather than a one-off screenshot question. Production systems need to decide how images enter the request, how resolution affects cost, what metadata is retained outside the model, how results are verified, and when a human should review the interpretation. In Claude […]
Token counting turns prompt size from a guess into a measurable input to architecture. Claude’s Token Count API can calculate the input-token footprint of a message before generation, including the system prompt, messages, tools, images, and supported documents. In Claude Engineering, that makes counting useful for more than cost estimation: it can drive context admission, […]
Tool choice determines whether Claude may answer directly, select a tool, avoid tools, or—on models and configurations that support it—be forced toward a tool path. That sounds like a small request parameter, but in Claude Engineering it affects control flow, latency, authorization, schema reliability, and the user experience around agent actions. Current Claude model behavior […]
Trace correlation is the discipline of connecting one user-visible outcome to every relevant model request, tool call, retry, retrieval step, and downstream service involved in producing it. Claude’s API provides a unique `request-id` on every response, and current SDKs expose that identifier for troubleshooting. In Claude Engineering, the request ID is a valuable anchor, but […]
Claude PDF processing is useful because a PDF is more than extracted text. Reports, contracts, manuals, and research papers often place meaning in tables, charts, diagrams, page layout, footnotes, and images. Current Claude PDF support can process text and visual content together, which makes it possible to ask questions that depend on both what a […]
Claude prompt caching is an application-level optimization for workloads that repeatedly send the same large prefix to the model. The reusable prefix might contain a system prompt, tool definitions, policy text, product documentation, examples, or a long document, while the user question changes on each request. Without caching, the model must repeatedly process that stable […]
Claude prompt prefilling used to mean starting the final assistant turn with text supplied by the application so the model would continue from that prefix. Teams used the technique to encourage a particular response opening, continue a structured fragment, or constrain tone. That pattern is now primarily a migration topic. Anthropic states that Claude 4.6 […]
Claude RAG architecture is the set of decisions that determine which external knowledge reaches the model, how that knowledge is retrieved, and how the application proves that the answer is grounded in the right evidence. Retrieval-augmented generation is often drawn as a simple loop from documents to embeddings to a vector database to Claude. Production […]
