ai-orchestration-llamaindex

# LlamaIndex.TS Patterns > **Quick Guide:** LlamaIndex.TS is a data framework for building context-aware LLM applications in TypeScript. Use `Settings` singleton to configure LLM and embedding models globally. Load documents with `SimpleDirectoryReader`, chunk with `SentenceSplitter`, index with `VectorStoreIndex.fromDocuments()`, and query with `index.asQueryEngine()`. For agents, use `agent()` from `@llamaindex/workflow` with `tool()` definitions using Zod schemas. All core operations are async -- every function returns a Promise. The `llamaindex` package re-exports most things, but LLM providers require separate packages like `@llamaindex/openai` or `@llamaindex/ollama`. --- <critical_requirements> ## CRITICAL: Before Using This Skill > **All code must follow project conventions in CLAUDE.md** (kebab-case, named exports, import ordering, `import type`, named constants) **(You MUST configure `Settings.llm` and `Settings.embedModel` before any indexing or querying -- the Settings singleton is lazily initialized and defaults to OpenAI, which will fail without an API key)** **(You MUST await all LlamaIndex operations -- `fromDocuments()`, `asQueryEngine()`, `query()`, `chat()`, `loadData()` are ALL async)** **(You MUST install provider packages separately -- `@llamaindex/openai`, `@llamaindex/ollama`, `@llamaindex/anthropic` are NOT included in the base `llamaindex` package)** **(You MUST use `storageContextFromDefaults({ persistDir })` to persist indexes -- without p...