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building-agents

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Use when building or restructuring an LLM agent — provider adapter, tool calling, structured output, RAG, agent loop, eval gate, cost routing, tracing, MCP server — model-agnostic across OpenAI/Anthropic/Gemini/OSS so a model swap is a config change. NOT vector-store SQL alone (that is `postgresdb`) or service deployment (that is `deployment`).

skills/building-agents/SKILL.md

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# Building production LLM agents (model-agnostic)

A thin provider adapter, a disciplined agent loop, schema-validated tools, provider-neutral RAG, eval gates, OTel tracing, and optionally an MCP server — so swapping OpenAI ↔ Anthropic ↔ Gemini ↔ OSS is a config change, not a rewrite.

## The one rule

> Program against a **capability interface**, never a vendor SDK. Vendor specifics (model id, tool-schema shape, JSON mode, caching, token limits) live behind one adapter resolved from config. Model names and prices rot — if one appears in business logic it's a bug, and re-verify the dated tables before quoting a number.

**Hand off instead when:** a new non-trivial feature has no approved spec + plan under `02-DOCS/wiki/sdd/` → stop and run [`specify`](../specify/SKILL.md) first (method: [`asdd`](../asdd/SKILL.md)), which routes back here once the plan is approved; one-line/low-risk changes go straight through. Anthropic-SDK internals (caching, thinking, batch) in a file that *only* imports `anthropic` → `claude-api` if your environment has it, since this skill stays multi-provider. Workspace scaffolding → [`harness`](../harness/SKILL.md). Choosing *which* coding agent to use → agent-eval territory. Pure prompt-wording tuning with no architecture change → prompt engineering, not this. A one-shot throwaway prompt, or no retrieval/tools/loop/evals at all → you don't need an agent; call the SDK directly and say so.

## Decision rules (read before writing code)

1. **Adapter first** — define the `LLMProvider` Protocol before any provider call.
2. **Smallest loop that works** — single-agent before multi-agent; ReAct only when the path is uncertain; plan-execute when steps are knowable. Multi-agent means orchestrator-worker with a semaphore-bounded parallel fan-out, never a free-for-all.
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