forked from phoenix/litellm-mirror
build(ui): dropdown for known provider models
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bdb32a0f42
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12 changed files with 80 additions and 23 deletions
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|
|
@ -1,7 +1,7 @@
|
|||
2:I[77831,[],""]
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||||
3:I[79382,["115","static/chunks/115-fbad91e754a20933.js","931","static/chunks/app/page-c9546a1fb216c6f8.js"],""]
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||||
3:I[79382,["115","static/chunks/115-fbad91e754a20933.js","931","static/chunks/app/page-f24bcfbd2cfff252.js"],""]
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||||
4:I[5613,[],""]
|
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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
|
||||
|
|
|
@ -15,7 +15,7 @@ import {
|
|||
} from "@tremor/react";
|
||||
import { TabPanel, TabPanels, TabGroup, TabList, Tab, TextInput } from "@tremor/react";
|
||||
import { Select, SelectItem } from "@tremor/react";
|
||||
import { modelInfoCall, userGetRequesedtModelsCall, modelMetricsCall, modelCreateCall, Model } from "./networking";
|
||||
import { modelInfoCall, userGetRequesedtModelsCall, modelMetricsCall, modelCreateCall, Model, modelCostMap } from "./networking";
|
||||
import { BarChart } from "@tremor/react";
|
||||
import {
|
||||
Button as Button2,
|
||||
|
@ -55,13 +55,13 @@ enum Providers {
|
|||
OpenAI_Compatible = "OpenAI-Compatible Endpoints (Groq, Together AI, Mistral AI, etc.)"
|
||||
}
|
||||
|
||||
const provider_map: Record<Providers, string> = {
|
||||
[Providers.OpenAI]: "",
|
||||
[Providers.Azure]: "azure/",
|
||||
[Providers.Anthropic]: "",
|
||||
[Providers.Google_AI_Studio]: "gemini/",
|
||||
[Providers.Bedrock]: "bedrock/",
|
||||
[Providers.OpenAI_Compatible]: "openai/"
|
||||
const provider_map: Record <string, string> = {
|
||||
"OpenAI": "openai",
|
||||
"Azure": "azure",
|
||||
"Anthropic": "anthropic",
|
||||
"Google_AI_Studio": "gemini",
|
||||
"Bedrock": "bedrock",
|
||||
"OpenAI_Compatible": "openai"
|
||||
};
|
||||
|
||||
const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
||||
|
@ -74,8 +74,12 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
const [modelMetrics, setModelMetrics] = useState<any[]>([]);
|
||||
const [pendingRequests, setPendingRequests] = useState<any[]>([]);
|
||||
const [form] = Form.useForm();
|
||||
const [modelMap, setModelMap] = useState<any>(null);
|
||||
|
||||
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 [selectedProvider, setSelectedProvider] = useState<String>("OpenAI");
|
||||
|
||||
useEffect(() => {
|
||||
|
@ -116,6 +120,15 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
if (accessToken && token && userRole && userID) {
|
||||
fetchData();
|
||||
}
|
||||
|
||||
const fetchModelMap = async () => {
|
||||
const data = await modelCostMap()
|
||||
console.log(`received model cost map data: ${Object.keys(data)}`)
|
||||
setModelMap(data)
|
||||
}
|
||||
if (modelMap == null) {
|
||||
fetchModelMap()
|
||||
}
|
||||
}, [accessToken, token, userRole, userID]);
|
||||
|
||||
if (!modelData) {
|
||||
|
@ -195,6 +208,24 @@ 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);
|
||||
}
|
||||
});
|
||||
}
|
||||
setProviderModels(_providerModels)
|
||||
console.log(`providerModels: ${providerModels}`);
|
||||
}
|
||||
|
||||
const handleSubmit = async (formValues: Record<string, any>) => {
|
||||
try {
|
||||
|
||||
|
@ -210,9 +241,10 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
modelName = modelName + value
|
||||
}
|
||||
else if (key == "custom_llm_provider") {
|
||||
const providerEnumValue = Providers[value as keyof typeof Providers];
|
||||
const mappingResult = provider_map[providerEnumValue]; // Get the corresponding value from the mapping
|
||||
modelName = mappingResult + modelName
|
||||
// const providerEnumValue = Providers[value as keyof typeof Providers];
|
||||
// const mappingResult = provider_map[providerEnumValue]; // Get the corresponding value from the mapping
|
||||
// modelName = mappingResult + "/" + modelName
|
||||
continue
|
||||
}
|
||||
|
||||
// Check if key is "base_model"
|
||||
|
@ -278,7 +310,7 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
};
|
||||
|
||||
console.log(`selectedProvider: ${selectedProvider}`)
|
||||
|
||||
console.log(`providerModels.length: ${providerModels.length}`)
|
||||
return (
|
||||
<div style={{ width: "100%", height: "100%"}}>
|
||||
<TabGroup className="gap-2 p-8 h-[75vh] w-full mt-2">
|
||||
|
@ -389,6 +421,7 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
key={index}
|
||||
value={provider}
|
||||
onClick={() => {
|
||||
setProviderModelsFn(provider);
|
||||
setSelectedProvider(provider);
|
||||
}}
|
||||
>
|
||||
|
@ -405,7 +438,20 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
<Col span={10}><Text className="mb-3 mt-1">Model name your users will pass in. Also used for <Link href="https://docs.litellm.ai/docs/proxy/reliability#step-1---set-deployments-on-config" target="_blank">loadbalancing.</Link></Text></Col>
|
||||
</Row>
|
||||
<Form.Item rules={[{ required: true, message: 'Required' }]} label="LiteLLM Model Name" name="model" tooltip="Actual model name used for making litellm.completion() call." className="mb-0">
|
||||
<TextInput placeholder="gpt-3.5-turbo-0125"/>
|
||||
{
|
||||
providerModels.length > 0 ?
|
||||
<Select value={providerModels[0].toString()}>
|
||||
{providerModels.map((model, index) => (
|
||||
<SelectItem
|
||||
key={index}
|
||||
value={model}
|
||||
>
|
||||
{model}
|
||||
</SelectItem>
|
||||
))}
|
||||
</Select>
|
||||
: <TextInput placeholder="gpt-3.5-turbo-0125"/>
|
||||
}
|
||||
</Form.Item>
|
||||
<Row>
|
||||
<Col span={10}></Col>
|
||||
|
@ -424,7 +470,6 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
selectedProvider == Providers.OpenAI && <Form.Item
|
||||
label="Organization ID"
|
||||
name="organization_id"
|
||||
className="mb-0"
|
||||
>
|
||||
<TextInput placeholder="[OPTIONAL] my-unique-org"/>
|
||||
</Form.Item>
|
||||
|
|
|
@ -12,6 +12,18 @@ export interface Model {
|
|||
model_info: Object | null;
|
||||
}
|
||||
|
||||
export const modelCostMap = async () => {
|
||||
try {
|
||||
const response = await fetch('https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json');
|
||||
const jsonData = await response.json();
|
||||
console.log(`received data: ${jsonData}`)
|
||||
return jsonData
|
||||
} catch (error) {
|
||||
console.error("Failed to get model cost map:", error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
export const modelCreateCall = async (
|
||||
accessToken: string,
|
||||
formValues: Model
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue