//native
type Groq = {
api_key: string;
};
/**
* Creates a model response for the given chat conversation.
*
*/
export async function main(
auth: Groq,
body: {
frequency_penalty?: number;
function_call?: "none" | "auto" | "required" | { name: string };
functions?: { description?: string; name: string; parameters?: {} }[];
logit_bias?: {};
logprobs?: false | true;
max_tokens?: number;
messages:
| { content: string; name?: string; role: "system" }
| {
content:
| string
| { text: string; type: "text" }
| {
image_url: { detail?: "auto" | "low" | "high"; url: string };
type: "image_url";
}[];
name?: string;
role: "user";
}
| {
content?: string;
function_call?: { arguments?: string; name?: string };
name?: string;
role: "assistant";
tool_calls?: {
function: { arguments: string; name: string };
id: string;
type: "function";
}[];
}
| { content: string; role: "tool"; tool_call_id: string }
| { content: string; name: string; role: "function" }[];
model: string;
n?: number;
parallel_tool_calls?: false | true;
presence_penalty?: number;
response_format?: { type?: "text" | "json_object" };
seed?: number;
stop?: string | string[];
stream?: false | true;
temperature?: number;
tool_choice?:
| "none"
| "auto"
| "required"
| { function: { name: string }; type: "function" };
tools?: {
function: { description?: string; name: string; parameters?: {} };
type: "function";
}[];
top_logprobs?: number;
top_p?: number;
user?: string;
},
) {
const url = new URL(`https://api.groq.com/openai/v1/chat/completions`);
const response = await fetch(url, {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: "Bearer " + auth.api_key,
},
body: JSON.stringify(body),
});
if (!response.ok) {
const text = await response.text();
throw new Error(`${response.status} ${text}`);
}
return await response.json();
}
Submitted by hugo697 235 days ago