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[Experimenting] Add Sentry AI monitoring for OpenAI backend #1352

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[Experimenting] Add Sentry AI monitoring for OpenAI backend #1352

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36 changes: 32 additions & 4 deletions backend/src/business/ai/AiService.ts
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Original file line number Diff line number Diff line change
@@ -1,4 +1,5 @@
import OpenAI from 'openai';
import * as Sentry from '@sentry/node';
import createStoryTitlePrompt from './createStoryTitlePrompt';

const openai = new OpenAI({
Expand All @@ -7,9 +8,36 @@ const openai = new OpenAI({
});

export async function suggestStoryTitle(storyContent: string): Promise<string> {
const response = await openai.chat.completions.create(
createStoryTitlePrompt(storyContent)
);
const prompt = createStoryTitlePrompt(storyContent);
const model = typeof prompt.model === 'string' ? prompt.model : 'unknown';
const aiSpan = Sentry.getCurrentHub()
.getScope()
?.getTransaction()
?.startChild({
op: 'gen_ai.request',
description: `OpenAI chat completion (${model})`,
});
aiSpan?.setData('gen_ai.request.model', model);

return response.choices[0].message.content?.trim() ?? '';
try {
const response = await openai.chat.completions.create(prompt);

if (response.usage) {
aiSpan?.setData(
'gen_ai.usage.input_tokens',
response.usage.prompt_tokens
);
aiSpan?.setData(
'gen_ai.usage.output_tokens',
response.usage.completion_tokens
);
}

return response.choices[0].message.content?.trim() ?? '';
} catch (error) {
aiSpan?.setStatus('internal_error');
throw error;
} finally {
aiSpan?.finish();
}
}
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