fetcher-llm-streaminglisted

# fetcher-llm-streaming ## Workflow 1. Import `@ahoo-wang/fetcher-eventstream` for side-effect prototype helpers when using `Response` extensions. 2. Use standalone conversion functions when prototype mutation is undesirable. 3. Handle stream conversion errors explicitly with `EventStreamConvertError`. 4. For OpenAI-style DONE termination, supply a detector function (`TerminateDetector`); the ready-made `DoneDetector` lives in `@ahoo-wang/fetcher-openai`. 5. Load `references/api.md` for pipeline details, OpenAI streaming examples, and UI update patterns. ## Key Practices - Keep parsing, termination detection, and UI state updates as separate steps. - Use async iteration over streams to avoid buffering full responses in memory. - When pairing with decorators, configure result extractors at the endpoint boundary. ## References - `references/api.md`: Detailed package API, examples, and edge-case guidance. Load it only when the task needs prototype extensions, standalone stream functions, SSE structures, termination handling, OpenAI streaming examples, and React UI update snippets. ## Related Skills - $fetcher-openai-client: Use for higher-level OpenAI chat client setup. - $fetcher-decorator-service: Use when the streaming endpoint is declared with decorators. - $fetcher-react-hooks: Use when streaming data drives React state.