ai-infrastructure-together-ailisted

# Together AI SDK Patterns > **Quick Guide:** Use the `together-ai` npm package to access 200+ open-source models (Llama, Qwen, Mistral, DeepSeek) via Together AI's fast inference API. The SDK mirrors the OpenAI API shape -- `client.chat.completions.create()` for chat, `client.images.generate()` for images, `client.embeddings.create()` for embeddings. Use `response_format: { type: "json_schema" }` with Zod-generated schemas for structured output. Function calling uses the same `tools` parameter shape as OpenAI. You can also use the OpenAI SDK directly by pointing `baseURL` to `https://api.together.xyz/v1`. --- <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 use the `together-ai` package (`import Together from "together-ai"`) -- NOT the OpenAI SDK -- unless explicitly building an OpenAI-compatible integration)** **(You MUST include the JSON schema in BOTH the `response_format` parameter AND the system prompt when using structured output -- the model needs both)** **(You MUST handle errors using `Together.APIError` and its subclasses -- never use bare catch blocks without error type checking)** **(You MUST never hardcode API keys -- always use environment variables via `process.env.TOGETHER_API_KEY`)** </critical_requirements> --- **Auto-detection:** Together AI, together-ai, together.ai, TOGETHER_API_KEY,