mikael-lovqvists-claude-agent
db8889aeed
STT (Silero VAD + Whisper via sherpa-onnx), Chatterbox TTS HTTP server, query completeness classifier (Ollama), multi-voice demo scripts, and planning docs. Kept as reference; clean rewrite planned in separate repos. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
44 lines
1.3 KiB
JavaScript
44 lines
1.3 KiB
JavaScript
export async function is_query_complete(query, model = 'qwen2.5:3b') {
|
|
const payload = {
|
|
model,
|
|
messages: [
|
|
{
|
|
role: 'system',
|
|
content: `
|
|
You are a voice query completeness classifier. Determine if the input is complete enough to act on.
|
|
|
|
Respond only with JSON: {"complete": true} or {"complete": false}
|
|
|
|
Default to {"complete": true}. Only respond with {"complete": false} if the input is clearly mid-sentence, trails off, or is a single ambiguous word with no clear intent.
|
|
|
|
Complete examples: "What time is it", "Turn off the lights", "How do I juggle", "Make a note", "Check the weather"
|
|
Incomplete examples: "How do I", "The thing is", "Can you"
|
|
`.replace(/^[\t ]+/gm, ''),
|
|
},
|
|
{ role: 'user', content: query },
|
|
],
|
|
stream: false,
|
|
format: 'json',
|
|
options: { num_predict: 10, num_ctx: 2048 },
|
|
}
|
|
|
|
const response = await fetch('http://192.168.2.99:11434/api/chat', {
|
|
method: 'POST',
|
|
headers: { 'Content-Type': 'application/json' },
|
|
body: JSON.stringify(payload),
|
|
})
|
|
|
|
if (response.ok) {
|
|
try {
|
|
const data = await response.json()
|
|
const parsed = JSON.parse(data.message.content)
|
|
return parsed.complete === true
|
|
} catch {
|
|
return true
|
|
}
|
|
} else {
|
|
// Fail open — if classifier errors, let the query through
|
|
return true
|
|
}
|
|
}
|