ai-provider-anthropic-sdklisted

# Anthropic SDK Patterns > **Quick Guide:** Use the official `@anthropic-ai/sdk` package to interact with Claude models directly. Use `client.messages.create()` for single-turn and multi-turn conversations. Use `client.messages.stream()` for streaming with event-based consumption. `max_tokens` is always required. Content blocks are typed unions (`text`, `tool_use`, `thinking`). Use `client.messages.parse()` with `zodOutputFormat()` for structured outputs. Tool use requires a tool-result loop -- Claude returns `tool_use` blocks, you execute the tool and send back `tool_result` blocks. Extended thinking adds `thinking` content blocks before the response. --- <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 always provide `max_tokens` in every `messages.create()` / `messages.stream()` call -- it is required and has no default)** **(You MUST handle the `stop_reason` field to detect `end_turn`, `max_tokens`, `tool_use`, and `stop_sequence` -- ignoring it causes silent truncation or broken tool loops)** **(You MUST iterate over `response.content` blocks (not assume a single text block) -- responses can contain `text`, `tool_use`, and `thinking` blocks mixed together)** **(You MUST handle errors using `Anthropic.APIError` and its subclasses -- never use bare catch blocks without error type checking)** **(You MUST n