How to Use Unorouter API for Text Generation
Unorouter provides a simple, low‑cost API for generating text with advanced language models. This tutorial shows you how to call the API and integrate the response into your own applications.
Prerequisites
- An API key from Unorouter (obtainable from your dashboard).
- curl installed on your system (or any HTTP client).
Example Request
curl -X POST https://api.unorouter.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "gemini-3.6-flash:free", "messages": [ {"role": "user", "content": "Write a short story about a brave cat."} ], "temperature": 0.7, "max_tokens": 150 }' Response
The API returns a JSON object:
{ "id": "chatcm_12345", "object": "chat.completion", "created": 1721234567, "model": "gemini-3.6-flash:free", "choices": [ { "message": { "role": "assistant", "content": "Once upon a time, a sleek cat named Luna..." }, "index": 0, "logprobs": null, "finish_reason": "stop" } ] } Integrating the Response
Parse the JSON to extract choices[0].message.content. You can then display this text in your UI, store it, or further process it.
Tips for Better Results
- Temperature: Lower values (0.2‑0.5) give more deterministic output; higher values (0.7‑1.0) increase creativity.
- Max Tokens: Set a reasonable limit to control cost and response length.
- Model Choice: Use the free tier (
gemini-3.6-flash:free) for quick experiments; upgrade for higher quality.
Conclusion
Unorouter’s API makes text generation accessible with just a few lines of code. Experiment with prompts, models, and parameters to tailor outputs to your needs.