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"use server" | |
import { LLMPredictionFunctionParams } from "@/types" | |
import Groq from "groq-sdk" | |
export async function predict({ | |
systemPrompt, | |
userPrompt, | |
nbMaxNewTokens, | |
llmVendorConfig | |
}: LLMPredictionFunctionParams): Promise<string> { | |
const groqApiKey = `${ | |
llmVendorConfig.apiKey || | |
process.env.AUTH_GROQ_API_KEY || | |
"" | |
}` | |
const groqApiModel = `${ | |
llmVendorConfig.modelId || | |
process.env.LLM_GROQ_API_MODEL || | |
"mixtral-8x7b-32768" | |
}` | |
const groq = new Groq({ | |
apiKey: groqApiKey, | |
}) | |
const messages: Groq.Chat.Completions.CompletionCreateParams.Message[] = [ | |
{ role: "system", content: systemPrompt }, | |
{ role: "user", content: userPrompt }, | |
] | |
try { | |
const res = await groq.chat.completions.create({ | |
messages: messages, | |
model: groqApiModel, | |
stream: false, | |
temperature: 0.5, | |
max_tokens: nbMaxNewTokens, | |
}) | |
return res.choices[0].message.content || "" | |
} catch (err) { | |
console.error(`error during generation: ${err}`) | |
return "" | |
} | |
} |