Integrating Ollama with the JavaScript SDK
Let us use the official JavaScript library to program Ollama model queries inside our Node.js backends.
1. Installation
Install the official client SDK package:
# Install the Ollama JS/TS SDK
npm install @ollama/ollama2. Basic Chat Completions (Non-Streaming)
Import ollama and query a model:
// src/services/ollamaService.ts
import ollama from "@ollama/ollama";
export async function askLocalAI(userPrompt: string) {
try {
const response = await ollama.chat({
model: "qwen2.5",
messages: [{ role: "user", content: userPrompt }],
// Set options to customize generation parameters
options: {
temperature: 0.2,
},
});
return response.message.content;
} catch (err: any) {
console.error("Local model query failed:", err.message);
return "Local AI service error.";
}
}3. Streaming Chat responses
To receive response tokens incrementally, iterate over the async generator returned by setting stream: true:
export async function streamLocalAI(userPrompt: string, onTokenCallback: (token: string) => void) {
const response = await ollama.chat({
model: "qwen2.5",
messages: [{ role: "user", content: userPrompt }],
stream: true,
});
// Loop through token generator chunks
for await (const part of response) {
const token = part.message.content;
onTokenCallback(token);
}
}Published on Last updated: