({
pipe,
messages,
llmApiKey,
stream
}: {
pipe: Pipe;
llmApiKey: string;
stream: boolean;
messages: Message[];
})
| 7 | import type { Message, Pipe } from 'types/pipe'; |
| 8 | |
| 9 | export async function callGroq({ |
| 10 | pipe, |
| 11 | messages, |
| 12 | llmApiKey, |
| 13 | stream |
| 14 | }: { |
| 15 | pipe: Pipe; |
| 16 | llmApiKey: string; |
| 17 | stream: boolean; |
| 18 | messages: Message[]; |
| 19 | }) { |
| 20 | try { |
| 21 | const modelParams = buildModelParams(pipe, stream, messages); |
| 22 | const groq = new OpenAI({ |
| 23 | apiKey: llmApiKey, |
| 24 | baseURL: 'https://api.groq.com/openai/v1' |
| 25 | }); |
| 26 | applyJsonModeIfEnabled(modelParams, pipe); |
| 27 | |
| 28 | // Transform params according to provider's format |
| 29 | const transformedRequestParams = transformToProviderRequest({ |
| 30 | provider: GROQ, |
| 31 | params: modelParams as ModelParams, |
| 32 | fn: 'chatComplete' |
| 33 | }); |
| 34 | dlog('Groq request params', transformedRequestParams); |
| 35 | |
| 36 | return await groq.chat.completions.create( |
| 37 | transformedRequestParams as any |
| 38 | ); |
| 39 | } catch (error: any) { |
| 40 | handleLlmError({ error, provider: GROQ }); |
| 41 | } |
| 42 | } |
| 43 | |
| 44 | function buildModelParams( |
| 45 | pipe: Pipe, |
no test coverage detected