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// <complete_code>
// <imports>
import { FoundryLocalManager } from 'foundry-local-sdk';
import * as readline from 'readline';
// </imports>
// <tool_definitions>
// --- Tool definitions ---
const tools = [
{
type: 'function',
function: {
name: 'get_weather',
description: 'Get the current weather for a location',
parameters: {
type: 'object',
properties: {
location: {
type: 'string',
description: 'The city or location'
},
unit: {
type: 'string',
enum: ['celsius', 'fahrenheit'],
description: 'Temperature unit'
}
},
required: ['location']
}
}
},
{
type: 'function',
function: {
name: 'calculate',
description: 'Perform a math calculation',
parameters: {
type: 'object',
properties: {
expression: {
type: 'string',
description:
'The math expression to evaluate'
}
},
required: ['expression']
}
}
}
];
// --- Tool implementations ---
function getWeather(location, unit = 'celsius') {
return {
location,
temperature: unit === 'celsius' ? 22 : 72,
unit,
condition: 'Sunny'
};
}
function calculate(expression) {
// Input is validated against a strict allowlist of numeric/math characters,
// making this safe from code injection in this tutorial context.
const allowed = /^[0-9+\-*/(). ]+$/;
if (!allowed.test(expression)) {
return { error: 'Invalid expression' };
}
try {
const result = Function(
`"use strict"; return (${expression})`
)();
return { expression, result };
} catch (err) {
return { error: err.message };
}
}
const toolFunctions = {
get_weather: (args) => getWeather(args.location, args.unit),
calculate: (args) => calculate(args.expression)
};
// </tool_definitions>
// <tool_loop>
async function processToolCalls(messages, response, chatClient) {
let choice = response.choices[0]?.message;
while (choice?.tool_calls?.length > 0) {
messages.push(choice);
for (const toolCall of choice.tool_calls) {
const functionName = toolCall.function.name;
const args = JSON.parse(toolCall.function.arguments);
console.log(
` Tool call: ${functionName}` +
`(${JSON.stringify(args)})`
);
const result = toolFunctions[functionName](args);
messages.push({
role: 'tool',
tool_call_id: toolCall.id,
content: JSON.stringify(result)
});
}
response = await chatClient.completeChat(
messages, { tools }
);
choice = response.choices[0]?.message;
}
return choice?.content ?? '';
}
// </tool_loop>
// <init>
// --- Main application ---
const manager = FoundryLocalManager.create({
appName: 'foundry_local_samples',
logLevel: 'info'
});
// Download and register all execution providers.
let currentEp = '';
await manager.downloadAndRegisterEps((epName, percent) => {
if (epName !== currentEp) {
if (currentEp !== '') process.stdout.write('\n');
currentEp = epName;
}
process.stdout.write(`\r ${epName.padEnd(30)} ${percent.toFixed(1).padStart(5)}%`);
});
if (currentEp !== '') process.stdout.write('\n');
const model = await manager.catalog.getModel('qwen2.5-0.5b');
await model.download((progress) => {
process.stdout.write(
`\rDownloading model: ${progress.toFixed(2)}%`
);
});
console.log('\nModel downloaded.');
await model.load();
console.log('Model loaded and ready.');
const chatClient = model.createChatClient();
const messages = [
{
role: 'system',
content:
'You are a helpful assistant with access to tools. ' +
'Use them when needed to answer questions accurately.'
}
];
const rl = readline.createInterface({
input: process.stdin,
output: process.stdout
});
const askQuestion = (prompt) =>
new Promise((resolve) => rl.question(prompt, resolve));
console.log(
'\nTool-calling assistant ready! Type \'quit\' to exit.\n'
);
while (true) {
const userInput = await askQuestion('You: ');
if (
userInput.trim().toLowerCase() === 'quit' ||
userInput.trim().toLowerCase() === 'exit'
) {
break;
}
messages.push({ role: 'user', content: userInput });
const response = await chatClient.completeChat(
messages, { tools }
);
const answer = await processToolCalls(
messages, response, chatClient
);
messages.push({ role: 'assistant', content: answer });
console.log(`Assistant: ${answer}\n`);
}
await model.unload();
console.log('Model unloaded. Goodbye!');
rl.close();
// </init>
// </complete_code>