2026 Node.js Summarize Text API Chat Completions Example for Support Answers
Short answer: for a support agent answering from a private knowledge base, the difficult part is not producing a shorter paragraph. It is producing a valid, bounded answer that preserves the facts the agent is allowed to use. Put that contract in the prompt and application validation, call a chat-completions endpoint, use a temperature around 0.3 to 0.5, and reject output that cannot be parsed.…
The article explains how to use a Node.js text summarization API with chat completions for support answers. The key points are:
1. The difficult part is producing a valid, bounded answer that preserves the facts allowed by the knowledge base. Specify this contract in the prompt and validate the output.
2. Use a temperature of 0.3 to 0.5 when calling the chat-completions endpoint. GPT-4o-mini is a reasonable starting point.
3. The API should only summarize supplied passages, preserve restrictions and dates, distinguish an explicit answer from missing information, and return JSON fields like "answer", "key_facts", "missing_information", and "source_ids".
4. The system prompt should instruct the model on what to do when retrieval doesn't answer the question - i.e., "I do not have enough information in the supplied knowledge base".
5. Implement validation and retrieval boundaries to ensure correctness, even if determinism isn't perfect. Retry HTTP 429 responses with the Retry-After header.
The provided code shows how to implement this in Node.js using the OpenAI Chat Completions API. It reads parameters from environment variables, sends the request, parses the response, validates the structure, and handles errors like timeouts and rate limits gracefully.
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