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LLM.kiwi can power server-side features that turn messages into generated text. Begin with a narrow task, test realistic inputs, and validate every result your application depends on.

Conversational assistants

Maintain relevant message history and provide a focused system instruction.

Summarization

Convert long text into short bullets, action items, or structured notes.

Croatian content

Draft, rewrite, classify, or translate Croatian text with hrllm.

Data extraction

Ask for structured fields, then validate the returned format in code.

Customer-support assistant

Keep business rules in your own application as well. A model response should not be the only enforcement mechanism for refunds, payments, permissions, or other important actions.

Summarize text

For long documents, stay within the model’s context limit and split content into meaningful sections when needed.

Generate Croatian text

Review generated content before publishing it, especially names, prices, dates, legal statements, and factual claims.

Extract structured data

A prompt asking for JSON does not guarantee valid JSON. Parse it, validate required fields and types, and define a fallback.

Classify text

Production checklist

  • Call LLM.kiwi from your backend, not directly from a browser.
  • Keep keys in environment variables and rotate leaked keys.
  • Set request timeouts and handle API errors.
  • Retry only temporary failures, with exponential backoff.
  • Limit user input and conversation history.
  • Validate structured output before using it.
  • Log request IDs and failures without logging secrets.
  • Add human review for high-impact actions or published content.

Best practices

Prepare an integration for real users.

Code examples

Copy complete language-specific examples.
Last modified on July 28, 2026