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Guidelines for implementing LLM (Language Model) functionality in the application
Passed 22 of 22 test cases with the skill, and 8 of 22 without it.
and 15 more in the full report
14 fixed8 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which TypeScript type imported from `@/utils/llms/types` should be used for the email account parameter in LLM utilities?
| Checked | Without skill | With skill |
|---|---|---|
| Uses EmailAccountWithAI interface | Missed | Passed |
The instructions your model reads when the skill loads.
LLM-related code is organized in specific directories:
apps/web/utils/ai/ - Main LLM implementationsapps/web/utils/llms/ - Core LLM utilities and configurationsapps/web/__tests__/ - LLM-specific testsutils/llms/index.ts - Core LLM functionalityutils/llms/model.ts - Model definitions and configurationsutils/llms/use-cases.ts - Product use-case to model-role routingutils/usage.ts - Usage tracking and monitoringFor product features with a static model choice, use getModelForUseCase(emailAccount.user, LlmUseCase.FeatureName) from utils/llms/use-cases.ts. Keep direct getModel(user, modelType) calls for generic helpers where the model role is intentionally passed from upstream. When adding or changing a use case, update utils/llms/use-cases.test.ts.
Follow this standard structure for LLM-related functions:
import { z } from "zod";
import { createScopedLogger } from "@/utils/logger";
import { chatCompletionObject } from "@/utils/llms";
import type { EmailAccountWithAI } from "@/utils/llms/types";
import { createGenerateObject } from "@/utils/llms";
import { getModelForUseCase, LlmUseCase } from "@/utils/llms/use-cases";
export async function featureFunction(options: {
inputData: InputType;
emailAccount: EmailAccountWithAI;
}) {
const { inputData, user } = options;
if (!inputData || [other validation conditions]) {
test cases passed, vs 8 / 22 without
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