Mckay Wrigley
6500db9c1c
* move index to home folder, create state and context files and barrell folder * Sanity Check Commit: reducer added to home.tsx manual QA all working * WIP: promptBar * fix missing json parse on folders and prompts * split context and add promptbar context * add context to nested prompt componets and componetize Folder componet * remove log * Create buttons folder and componetize sidebar action button * tidy up prompt handlers * componetized sidebar * added back chatbar componet to left side sidebar * monster commit: Componetized the common code between chatbar and promptbar into new componet Sidebar and added context to both bars * add useFetch service * added prettier import sort to keep imports ordered and easier to indentify * added react query and useFetch to work with RQ * added apiService, errorService and reactQuery * add callback and tidy up error service * refactor chat and child componets to useContext * fix extra calls and bad calls to mel endpoint * minor import cleanup --------- Co-authored-by: jc.durbin <jc.durbin@ardanis.com>
62 lines
1.6 KiB
TypeScript
62 lines
1.6 KiB
TypeScript
import { OPENAI_API_HOST } from '@/utils/app/const';
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import { OpenAIModel, OpenAIModelID, OpenAIModels } from '@/types/openai';
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export const config = {
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runtime: 'edge',
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};
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const handler = async (req: Request): Promise<Response> => {
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try {
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const { key } = (await req.json()) as {
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key: string;
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};
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const response = await fetch(`${OPENAI_API_HOST}/v1/models`, {
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${key ? key : process.env.OPENAI_API_KEY}`,
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...(process.env.OPENAI_ORGANIZATION && {
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'OpenAI-Organization': process.env.OPENAI_ORGANIZATION,
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}),
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},
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});
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if (response.status === 401) {
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return new Response(response.body, {
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status: 500,
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headers: response.headers,
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});
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} else if (response.status !== 200) {
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console.error(
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`OpenAI API returned an error ${
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response.status
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}: ${await response.text()}`,
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);
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throw new Error('OpenAI API returned an error');
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}
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const json = await response.json();
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const models: OpenAIModel[] = json.data
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.map((model: any) => {
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for (const [key, value] of Object.entries(OpenAIModelID)) {
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if (value === model.id) {
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return {
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id: model.id,
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name: OpenAIModels[value].name,
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};
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}
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}
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})
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.filter(Boolean);
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return new Response(JSON.stringify(models), { status: 200 });
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} catch (error) {
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console.error(error);
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return new Response('Error', { status: 500 });
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}
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};
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export default handler;
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