
Cohere
Machine LearningCohere is a website that provides an API for integrating advanced language processing into any system. It offers massive language models that can be customized to specific use cases and trained on user data. Cohere handles the complexities of collecting large amounts of text data, neural network architecture, distributed training, and model serving. Its API simplifies the integration of natural language processing capabilities into any application. Cohere's technology is at the forefront of language processing, making it a powerful tool for developers and businesses alike.
📚 Documentation & Examples
Everything you need to integrate with Cohere
🚀 Quick Start Examples
// Cohere API Example
const response = await fetch('https://docs.cohere.com/docs', {
method: 'GET',
headers: {
'Content-Type': 'application/json'
}
});
const data = await response.json();
console.log(data);Cohere API
Cohere API provides a simple way to add natural language understanding to your application. Here are some examples of how to use Cohere API in your JavaScript code.
Setup
Before you can start using Cohere API, you need to obtain an API key from the website. Once you have the key, you can use it to make requests to the API.
const API_KEY = '<your-api-key>';
Examples
How to Get a Cohere API Key
- Create a free account at https://dashboard.cohere.com/ and verify your email.
- Open the API Keys page: https://dashboard.cohere.com/api-keys.
- Copy your default trial key, or generate a new one.
Cohere issues two kinds of keys. Trial keys are free and rate limited — about 1,000 API calls per month overall, with per-endpoint caps (for example, the Chat endpoint allows ~20 requests/minute on trial). Production keys remove those limits and are billed per token; upgrade in the dashboard when you're ready to ship.
Send the key as a Bearer token to the current API host https://api.cohere.com:
curl https://api.cohere.com/v2/chat \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"command-a-03-2025","messages":[{"role":"user","content":"Hello"}]}'
Older api.cohere.ai hosts and the /nlp or /completions paths are deprecated — use api.cohere.com and the /v2 endpoints. Full model list and rate-limit details: https://docs.cohere.com.
Analyzing Text
To analyze text using Cohere API, you need to send a POST request to the API. Here's an example of how to do that in JavaScript using the fetch API:
const text = 'I want to order a pizza with extra cheese and pepperoni.';
fetch('https://api.cohere.ai/nlp/v1/text', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${API_KEY}`
},
body: JSON.stringify({ text })
})
.then(response => response.json())
.then(data => {
console.log(data);
})
.catch(error => {
console.error(error);
});
This code sends a POST request to the Cohere API endpoint with the text to be analyzed in the request body. The response from the API contains the analyzed text, including entities, intents, and sentiment.
Text Completion
Cohere API can also be used for text completion. Here's an example of how to use it in JavaScript:
const prompt = 'Once upon a time, there was a';
fetch('https://api.cohere.ai/completions/v1/text', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${API_KEY}`
},
body: JSON.stringify({ prompt, model: 'text-davinci-002' })
})
.then(response => response.json())
.then(data => {
console.log(data.choices[0].text);
})
.catch(error => {
console.error(error);
});
This code sends a POST request to the Cohere API endpoint with the prompt in the request body. The response from the API contains the completed text.
Conclusion
Cohere API provides a powerful way to add natural language understanding to your application. With just a few lines of code, you can analyze text and generate text completions. These examples in JavaScript should help you get started quickly.









