forked from open-webui/open-webui
fix: ollama custom url support
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parent
c8cab48abf
commit
3b3b7fb46a
2 changed files with 38 additions and 33 deletions
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@ -236,6 +236,7 @@
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console.log(updated);
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settings = { ...settings, ...updated };
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localStorage.setItem('settings', JSON.stringify(settings));
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API_BASE_URL = updated?.API_BASE_URL ?? API_BASE_URL;
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await getModelTags();
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};
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@ -374,7 +375,7 @@
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// Ollama functions
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//////////////////////////
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const getModelTags = async (url = null) => {
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const getModelTags = async (url = null, type = 'all') => {
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const res = await fetch(`${url === null ? API_BASE_URL : url}/tags`, {
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method: 'GET',
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headers: {
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@ -394,43 +395,47 @@
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console.log(res);
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if (settings.OPENAI_API_KEY) {
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// Validate OPENAI_API_KEY
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const openaiModelRes = await fetch(`https://api.openai.com/v1/models`, {
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method: 'GET',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${settings.OPENAI_API_KEY}`
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}
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})
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.then(async (res) => {
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if (!res.ok) throw await res.json();
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return res.json();
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if (type === 'all') {
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if (settings.OPENAI_API_KEY) {
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// Validate OPENAI_API_KEY
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const openaiModelRes = await fetch(`https://api.openai.com/v1/models`, {
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method: 'GET',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${settings.OPENAI_API_KEY}`
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}
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})
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.catch((error) => {
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console.log(error);
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toast.error(`OpenAI: ${error?.error?.message ?? 'Network Problem'}`);
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return null;
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});
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const openaiModels = openaiModelRes?.data ?? null;
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.then(async (res) => {
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if (!res.ok) throw await res.json();
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return res.json();
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})
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.catch((error) => {
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console.log(error);
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toast.error(`OpenAI: ${error?.error?.message ?? 'Network Problem'}`);
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return null;
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});
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const openaiModels = openaiModelRes?.data ?? null;
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if (openaiModels) {
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models = [
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...(res?.models ?? []),
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{ name: 'hr' },
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if (openaiModels) {
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models = [
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...(res?.models ?? []),
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{ name: 'hr' },
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...openaiModels
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.map((model) => ({ name: model.id, label: 'OpenAI' }))
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.filter((model) => model.name.includes('gpt'))
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];
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...openaiModels
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.map((model) => ({ name: model.id, label: 'OpenAI' }))
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.filter((model) => model.name.includes('gpt'))
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];
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} else {
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models = res?.models ?? [];
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}
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} else {
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models = res?.models ?? [];
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}
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} else {
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models = res?.models ?? [];
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}
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return models;
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return models;
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} else {
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return res?.models ?? null;
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}
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};
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const sendPrompt = async (userPrompt) => {
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