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.
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