forked from phoenix/litellm-mirror
build(ui): add vertex ai models via ui
This commit is contained in:
Krrish Dholakia
parent
0d2a75d301
commit
e4bcc51e44
33 changed files with 131 additions and 92 deletions
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1:null
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|
|
@ -7116,8 +7116,9 @@ async def model_info_v2(
|
|||
if k not in model_info:
|
||||
model_info[k] = v
|
||||
model["model_info"] = model_info
|
||||
# don't return the api key
|
||||
# don't return the api key / vertex credentials
|
||||
model["litellm_params"].pop("api_key", None)
|
||||
model["litellm_params"].pop("vertex_credentials", None)
|
||||
|
||||
verbose_proxy_logger.debug("all_models: %s", all_models)
|
||||
return {"data": all_models}
|
||||
|
|
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|||
|
|
@ -2777,7 +2777,10 @@ class Router:
|
|||
}
|
||||
else:
|
||||
# check response_ms and update num_successes
|
||||
response_ms = response.get("_response_ms", 0)
|
||||
if isinstance(response, dict):
|
||||
response_ms = response.get("_response_ms", 0)
|
||||
else:
|
||||
response_ms = 0
|
||||
if model_id is not None:
|
||||
if model_id in self.deployment_stats:
|
||||
# check if avg_latency exists
|
||||
|
|
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@ -1 +0,0 @@
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self.__BUILD_MANIFEST={__rewrites:{afterFiles:[],beforeFiles:[],fallback:[]},"/_error":["static/chunks/pages/_error-d6107f1aac0c574c.js"],sortedPages:["/_app","/_error"]},self.__BUILD_MANIFEST_CB&&self.__BUILD_MANIFEST_CB();
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|
|
@ -1 +0,0 @@
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|||
self.__SSG_MANIFEST=new Set([]);self.__SSG_MANIFEST_CB&&self.__SSG_MANIFEST_CB()
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@ -1 +0,0 @@
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<!DOCTYPE html><html id="__next_error__"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width, initial-scale=1"/><link rel="preload" as="script" fetchPriority="low" href="/ui/_next/static/chunks/webpack-59f93936973f5f5a.js" crossorigin=""/><script src="/ui/_next/static/chunks/fd9d1056-bcf69420342937de.js" async="" crossorigin=""></script><script src="/ui/_next/static/chunks/69-442a9c01c3fd20f9.js" async="" crossorigin=""></script><script src="/ui/_next/static/chunks/main-app-096338c8e1915716.js" async="" crossorigin=""></script><title>LiteLLM Dashboard</title><meta name="description" content="LiteLLM Proxy Admin UI"/><link rel="icon" href="/ui/favicon.ico" type="image/x-icon" sizes="16x16"/><meta name="next-size-adjust"/><script src="/ui/_next/static/chunks/polyfills-c67a75d1b6f99dc8.js" crossorigin="" noModule=""></script></head><body><script src="/ui/_next/static/chunks/webpack-59f93936973f5f5a.js" crossorigin="" async=""></script><script>(self.__next_f=self.__next_f||[]).push([0]);self.__next_f.push([2,null])</script><script>self.__next_f.push([1,"1:HL[\"/ui/_next/static/media/c9a5bc6a7c948fb0-s.p.woff2\",\"font\",{\"crossOrigin\":\"\",\"type\":\"font/woff2\"}]\n2:HL[\"/ui/_next/static/css/11cfce8bfdf6e8f1.css\",\"style\",{\"crossOrigin\":\"\"}]\n0:\"$L3\"\n"])</script><script>self.__next_f.push([1,"4:I[47690,[],\"\"]\n6:I[77831,[],\"\"]\n7:I[44488,[\"289\",\"static/chunks/289-04be6cb9636840d2.js\",\"931\",\"static/chunks/app/page-3dcbe3938de7e459.js\"],\"\"]\n8:I[5613,[],\"\"]\n9:I[31778,[],\"\"]\nb:I[48955,[],\"\"]\nc:[]\n"])</script><script>self.__next_f.push([1,"3:[[[\"$\",\"link\",\"0\",{\"rel\":\"stylesheet\",\"href\":\"/ui/_next/static/css/11cfce8bfdf6e8f1.css\",\"precedence\":\"next\",\"crossOrigin\":\"\"}]],[\"$\",\"$L4\",null,{\"buildId\":\"G0uskIep5NGJbFqI3_DY1\",\"assetPrefix\":\"/ui\",\"initialCanonicalUrl\":\"/\",\"initialTree\":[\"\",{\"children\":[\"__PAGE__\",{}]},\"$undefined\",\"$undefined\",true],\"initialSeedData\":[\"\",{\"children\":[\"__PAGE__\",{},[\"$L5\",[\"$\",\"$L6\",null,{\"propsForComponent\":{\"params\":{}},\"Component\":\"$7\",\"isStaticGeneration\":true}],null]]},[null,[\"$\",\"html\",null,{\"lang\":\"en\",\"children\":[\"$\",\"body\",null,{\"className\":\"__className_c23dc8\",\"children\":[\"$\",\"$L8\",null,{\"parallelRouterKey\":\"children\",\"segmentPath\":[\"children\"],\"loading\":\"$undefined\",\"loadingStyles\":\"$undefined\",\"loadingScripts\":\"$undefined\",\"hasLoading\":false,\"error\":\"$undefined\",\"errorStyles\":\"$undefined\",\"errorScripts\":\"$undefined\",\"template\":[\"$\",\"$L9\",null,{}],\"templateStyles\":\"$undefined\",\"templateScripts\":\"$undefined\",\"notFound\":[[\"$\",\"title\",null,{\"children\":\"404: This page could not be found.\"}],[\"$\",\"div\",null,{\"style\":{\"fontFamily\":\"system-ui,\\\"Segoe UI\\\",Roboto,Helvetica,Arial,sans-serif,\\\"Apple Color Emoji\\\",\\\"Segoe UI Emoji\\\"\",\"height\":\"100vh\",\"textAlign\":\"center\",\"display\":\"flex\",\"flexDirection\":\"column\",\"alignItems\":\"center\",\"justifyContent\":\"center\"},\"children\":[\"$\",\"div\",null,{\"children\":[[\"$\",\"style\",null,{\"dangerouslySetInnerHTML\":{\"__html\":\"body{color:#000;background:#fff;margin:0}.next-error-h1{border-right:1px solid rgba(0,0,0,.3)}@media (prefers-color-scheme:dark){body{color:#fff;background:#000}.next-error-h1{border-right:1px solid rgba(255,255,255,.3)}}\"}}],[\"$\",\"h1\",null,{\"className\":\"next-error-h1\",\"style\":{\"display\":\"inline-block\",\"margin\":\"0 20px 0 0\",\"padding\":\"0 23px 0 0\",\"fontSize\":24,\"fontWeight\":500,\"verticalAlign\":\"top\",\"lineHeight\":\"49px\"},\"children\":\"404\"}],[\"$\",\"div\",null,{\"style\":{\"display\":\"inline-block\"},\"children\":[\"$\",\"h2\",null,{\"style\":{\"fontSize\":14,\"fontWeight\":400,\"lineHeight\":\"49px\",\"margin\":0},\"children\":\"This page could not be found.\"}]}]]}]}]],\"notFoundStyles\":[],\"styles\":null}]}]}],null]],\"initialHead\":[false,\"$La\"],\"globalErrorComponent\":\"$b\",\"missingSlots\":\"$Wc\"}]]\n"])</script><script>self.__next_f.push([1,"a:[[\"$\",\"meta\",\"0\",{\"name\":\"viewport\",\"content\":\"width=device-width, initial-scale=1\"}],[\"$\",\"meta\",\"1\",{\"charSet\":\"utf-8\"}],[\"$\",\"title\",\"2\",{\"children\":\"LiteLLM Dashboard\"}],[\"$\",\"meta\",\"3\",{\"name\":\"description\",\"content\":\"LiteLLM Proxy Admin UI\"}],[\"$\",\"link\",\"4\",{\"rel\":\"icon\",\"href\":\"/ui/favicon.ico\",\"type\":\"image/x-icon\",\"sizes\":\"16x16\"}],[\"$\",\"meta\",\"5\",{\"name\":\"next-size-adjust\"}]]\n5:null\n"])</script><script>self.__next_f.push([1,""])</script></body></html>
|
||||
|
|
@ -1,7 +1,7 @@
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2:I[77831,[],""]
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3:I[44488,["289","static/chunks/289-04be6cb9636840d2.js","931","static/chunks/app/page-3dcbe3938de7e459.js"],""]
|
||||
4:I[5613,[],""]
|
||||
5:I[31778,[],""]
|
||||
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|
||||
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|
||||
6:[["$","meta","0",{"name":"viewport","content":"width=device-width, initial-scale=1"}],["$","meta","1",{"charSet":"utf-8"}],["$","title","2",{"children":"LiteLLM Dashboard"}],["$","meta","3",{"name":"description","content":"LiteLLM Proxy Admin UI"}],["$","link","4",{"rel":"icon","href":"/ui/favicon.ico","type":"image/x-icon","sizes":"16x16"}],["$","meta","5",{"name":"next-size-adjust"}]]
|
||||
1:null
|
||||
|
|
|
|||
|
|
@ -36,6 +36,9 @@ import { Typography } from "antd";
|
|||
import TextArea from "antd/es/input/TextArea";
|
||||
import { InformationCircleIcon, PencilAltIcon, PencilIcon, StatusOnlineIcon, TrashIcon } from "@heroicons/react/outline";
|
||||
const { Title: Title2, Link } = Typography;
|
||||
import { UploadOutlined } from '@ant-design/icons';
|
||||
import type { UploadProps } from 'antd';
|
||||
import { Upload } from 'antd';
|
||||
|
||||
interface ModelDashboardProps {
|
||||
accessToken: string | null;
|
||||
|
|
@ -52,7 +55,8 @@ enum Providers {
|
|||
Anthropic = "Anthropic",
|
||||
Google_AI_Studio = "Gemini (Google AI Studio)",
|
||||
Bedrock = "Amazon Bedrock",
|
||||
OpenAI_Compatible = "OpenAI-Compatible Endpoints (Groq, Together AI, Mistral AI, etc.)"
|
||||
OpenAI_Compatible = "OpenAI-Compatible Endpoints (Groq, Together AI, Mistral AI, etc.)",
|
||||
Vertex_AI = "Vertex AI (Anthropic, Gemini, etc.)"
|
||||
}
|
||||
|
||||
const provider_map: Record <string, string> = {
|
||||
|
|
@ -61,9 +65,11 @@ const provider_map: Record <string, string> = {
|
|||
"Anthropic": "anthropic",
|
||||
"Google_AI_Studio": "gemini",
|
||||
"Bedrock": "bedrock",
|
||||
"OpenAI_Compatible": "openai"
|
||||
"OpenAI_Compatible": "openai",
|
||||
"Vertex_AI": "vertex_ai"
|
||||
};
|
||||
|
||||
|
||||
const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
||||
accessToken,
|
||||
token,
|
||||
|
|
@ -78,12 +84,41 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
|
||||
const [providerModels, setProviderModels] = useState<Array<string>>([]); // Explicitly typing providerModels as a string array
|
||||
|
||||
const providers: Providers[] = [Providers.OpenAI, Providers.Azure, Providers.Anthropic, Providers.Google_AI_Studio, Providers.Bedrock, Providers.OpenAI_Compatible]
|
||||
const providers = Object.values(Providers).filter(key => isNaN(Number(key)));
|
||||
|
||||
|
||||
const [selectedProvider, setSelectedProvider] = useState<String>("OpenAI");
|
||||
const [healthCheckResponse, setHealthCheckResponse] = useState<string>('');
|
||||
|
||||
|
||||
const props: UploadProps = {
|
||||
name: 'file',
|
||||
accept: '.json',
|
||||
beforeUpload: file => {
|
||||
if (file.type === 'application/json') {
|
||||
const reader = new FileReader();
|
||||
reader.onload = (e) => {
|
||||
if (e.target) {
|
||||
const jsonStr = e.target.result as string;
|
||||
form.setFieldsValue({ vertex_credentials: jsonStr });
|
||||
}
|
||||
};
|
||||
reader.readAsText(file);
|
||||
}
|
||||
// Prevent upload
|
||||
return false;
|
||||
},
|
||||
onChange(info) {
|
||||
if (info.file.status !== 'uploading') {
|
||||
console.log(info.file, info.fileList);
|
||||
}
|
||||
if (info.file.status === 'done') {
|
||||
message.success(`${info.file.name} file uploaded successfully`);
|
||||
} else if (info.file.status === 'error') {
|
||||
message.error(`${info.file.name} file upload failed.`);
|
||||
}
|
||||
},
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
if (!accessToken || !token || !userRole || !userID) {
|
||||
|
|
@ -233,20 +268,29 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
|
||||
const setProviderModelsFn = (provider: string) => {
|
||||
console.log(`received provider string: ${provider}`)
|
||||
const providerEnumValue = Providers[provider as keyof typeof Providers];
|
||||
console.log(`received providerEnumValue: ${providerEnumValue}`)
|
||||
const mappingResult = provider_map[providerEnumValue]; // Get the corresponding value from the mapping
|
||||
console.log(`mappingResult: ${mappingResult}`)
|
||||
let _providerModels: Array<string> = []
|
||||
if (typeof modelMap === 'object') {
|
||||
Object.entries(modelMap).forEach(([key, value]) => {
|
||||
if (value !== null && typeof value === 'object' && "litellm_provider" in value && value["litellm_provider"] === mappingResult) {
|
||||
_providerModels.push(key);
|
||||
}
|
||||
});
|
||||
const providerKey = Object.keys(Providers).find(key => (Providers as {[index: string]: any})[key] === provider);
|
||||
|
||||
if (providerKey) {
|
||||
const mappingResult = provider_map[providerKey]; // Get the corresponding value from the mapping
|
||||
console.log(`mappingResult: ${mappingResult}`)
|
||||
let _providerModels: Array<string> = []
|
||||
if (typeof modelMap === 'object') {
|
||||
Object.entries(modelMap).forEach(([key, value]) => {
|
||||
if (
|
||||
value !== null
|
||||
&& typeof value === 'object'
|
||||
&& "litellm_provider" in (value as object)
|
||||
&& (
|
||||
(value as any)["litellm_provider"] === mappingResult
|
||||
|| (value as any)["litellm_provider"].includes(mappingResult)
|
||||
)) {
|
||||
_providerModels.push(key);
|
||||
}
|
||||
});
|
||||
}
|
||||
setProviderModels(_providerModels)
|
||||
console.log(`providerModels: ${providerModels}`);
|
||||
}
|
||||
setProviderModels(_providerModels)
|
||||
console.log(`providerModels: ${providerModels}`);
|
||||
}
|
||||
|
||||
const runHealthCheck = async () => {
|
||||
|
|
@ -349,6 +393,20 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
}
|
||||
}
|
||||
|
||||
const getPlaceholder = (selectedProvider: string): string => {
|
||||
if (selectedProvider === Providers.Vertex_AI) {
|
||||
return 'gemini-pro';
|
||||
} else if (selectedProvider == Providers.Anthropic) {
|
||||
return 'claude-3-opus'
|
||||
} else if (selectedProvider == Providers.Bedrock) {
|
||||
return 'claude-3-opus'
|
||||
} else if (selectedProvider == Providers.Google_AI_Studio) {
|
||||
return 'gemini-pro'
|
||||
} else {
|
||||
return 'gpt-3.5-turbo';
|
||||
}
|
||||
};
|
||||
|
||||
const handleOk = () => {
|
||||
form
|
||||
.validateFields()
|
||||
|
|
@ -455,9 +513,6 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
</Grid>
|
||||
</TabPanel>
|
||||
<TabPanel className="h-full">
|
||||
{/* <Card className="mx-auto max-w-lg flex flex-col h-[60vh] space-between">
|
||||
|
||||
</Card> */}
|
||||
<Title2 level={2}>Add new model</Title2>
|
||||
<Card>
|
||||
<Form
|
||||
|
|
@ -485,7 +540,7 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
</Select>
|
||||
</Form.Item>
|
||||
<Form.Item rules={[{ required: true, message: 'Required' }]} label="Public Model Name" name="model_name" tooltip="Model name your users will pass in. Also used for load-balancing, LiteLLM will load balance between all models with this public name." className="mb-0">
|
||||
<TextInput placeholder="gpt-3.5-turbo"/>
|
||||
<TextInput placeholder={getPlaceholder(selectedProvider.toString())}/>
|
||||
</Form.Item>
|
||||
<Row>
|
||||
<Col span={10}></Col>
|
||||
|
|
@ -508,9 +563,9 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
</Form.Item>
|
||||
<Row>
|
||||
<Col span={10}></Col>
|
||||
<Col span={10}><Text className="mb-3 mt-1">Actual model name used for making<Link href="https://docs.litellm.ai/docs/providers" target="_blank">litellm.completion() call</Link>.We'll<Link href="https://docs.litellm.ai/docs/proxy/reliability#step-1---set-deployments-on-config" target="_blank">loadbalance</Link> models with the same 'public name'</Text></Col></Row>
|
||||
<Col span={10}><Text className="mb-3 mt-1">Actual model name used for making <Link href="https://docs.litellm.ai/docs/providers" target="_blank">litellm.completion() call</Link>. We'll <Link href="https://docs.litellm.ai/docs/proxy/reliability#step-1---set-deployments-on-config" target="_blank">loadbalance</Link> models with the same 'public name'</Text></Col></Row>
|
||||
{
|
||||
selectedProvider != Providers.Bedrock && <Form.Item
|
||||
selectedProvider != Providers.Bedrock && selectedProvider != Providers.Vertex_AI && <Form.Item
|
||||
rules={[{ required: true, message: 'Required' }]}
|
||||
label="API Key"
|
||||
name="api_key"
|
||||
|
|
@ -526,6 +581,32 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
<TextInput placeholder="[OPTIONAL] my-unique-org"/>
|
||||
</Form.Item>
|
||||
}
|
||||
{
|
||||
selectedProvider == Providers.Vertex_AI && <Form.Item rules={[{ required: true, message: 'Required' }]}
|
||||
label="Vertex Project"
|
||||
name="vertex_project"><TextInput placeholder="adroit-cadet-1234.."/></Form.Item>
|
||||
}
|
||||
{
|
||||
selectedProvider == Providers.Vertex_AI && <Form.Item rules={[{ required: true, message: 'Required' }]}
|
||||
label="Vertex Location"
|
||||
name="vertex_location"><TextInput placeholder="us-east-1"/></Form.Item>
|
||||
}
|
||||
{
|
||||
selectedProvider == Providers.Vertex_AI && <Form.Item rules={[{ required: true, message: 'Required' }]}
|
||||
label="Vertex Credentials"
|
||||
name="vertex_credentials"
|
||||
className="mb-0">
|
||||
<Upload {...props}>
|
||||
<Button2 icon={<UploadOutlined />}>Click to Upload</Button2>
|
||||
</Upload>
|
||||
</Form.Item>
|
||||
}
|
||||
{
|
||||
selectedProvider == Providers.Vertex_AI && <Row>
|
||||
<Col span={10}></Col>
|
||||
<Col span={10}><Text className="mb-3 mt-1">Give litellm a gcp service account(.json file), so it can make the relevant calls</Text></Col></Row>
|
||||
|
||||
}
|
||||
{
|
||||
(selectedProvider == Providers.Azure || selectedProvider == Providers.OpenAI_Compatible) && <Form.Item
|
||||
rules={[{ required: true, message: 'Required' }]}
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue