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feat(ui): add models via ui
adds ability to add models via ui to the proxy. also fixes additional bugs around new /model/new endpoint
This commit is contained in:
Krrish Dholakia
parent
2472311a3f
commit
e3c2bdef4d
34 changed files with 333 additions and 108 deletions
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|
||||
1:null
|
||||
|
|
|
|||
|
|
@ -2407,12 +2407,13 @@ class ProxyConfig:
|
|||
if isinstance(_litellm_params, dict):
|
||||
# decrypt values
|
||||
for k, v in _litellm_params.items():
|
||||
# decode base64
|
||||
decoded_b64 = base64.b64decode(v)
|
||||
# decrypt value
|
||||
_litellm_params[k] = decrypt_value(
|
||||
value=decoded_b64, master_key=master_key
|
||||
)
|
||||
if isinstance(v, str):
|
||||
# decode base64
|
||||
decoded_b64 = base64.b64decode(v)
|
||||
# decrypt value
|
||||
_litellm_params[k] = decrypt_value(
|
||||
value=decoded_b64, master_key=master_key
|
||||
)
|
||||
_litellm_params = LiteLLM_Params(**_litellm_params)
|
||||
else:
|
||||
raise Exception(
|
||||
|
|
@ -6769,7 +6770,7 @@ async def info_budget(data: BudgetRequest):
|
|||
dependencies=[Depends(user_api_key_auth)],
|
||||
)
|
||||
async def add_new_model(
|
||||
model_params: ModelParams,
|
||||
model_params: Deployment,
|
||||
user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth),
|
||||
):
|
||||
global llm_router, llm_model_list, general_settings, user_config_file_path, proxy_config, prisma_client, master_key
|
||||
|
|
@ -6793,15 +6794,19 @@ async def add_new_model(
|
|||
- store keys separately
|
||||
"""
|
||||
# encrypt litellm params #
|
||||
for k, v in model_params.litellm_params.items():
|
||||
encrypted_value = encrypt_value(value=v, master_key=master_key) # type: ignore
|
||||
model_params.litellm_params[k] = base64.b64encode(
|
||||
encrypted_value
|
||||
).decode("utf-8")
|
||||
_litellm_params_dict = model_params.litellm_params.model_dump(
|
||||
exclude_none=True
|
||||
)
|
||||
for k, v in _litellm_params_dict.items():
|
||||
if isinstance(v, str):
|
||||
encrypted_value = encrypt_value(value=v, master_key=master_key) # type: ignore
|
||||
model_params.litellm_params[k] = base64.b64encode(
|
||||
encrypted_value
|
||||
).decode("utf-8")
|
||||
await prisma_client.db.litellm_proxymodeltable.create(
|
||||
data={
|
||||
"model_name": model_params.model_name,
|
||||
"litellm_params": json.dumps(model_params.litellm_params), # type: ignore
|
||||
"litellm_params": model_params.litellm_params.model_dump_json(exclude_none=True), # type: ignore
|
||||
"model_info": model_params.model_info.model_dump_json( # type: ignore
|
||||
exclude_none=True
|
||||
),
|
||||
|
|
@ -6852,10 +6857,18 @@ async def model_info_v2(
|
|||
"""
|
||||
global llm_model_list, general_settings, user_config_file_path, proxy_config
|
||||
|
||||
if llm_model_list is None or not isinstance(llm_model_list, list):
|
||||
raise HTTPException(
|
||||
status_code=500,
|
||||
detail={
|
||||
"error": f"Invalid llm model list. llm_model_list={llm_model_list}"
|
||||
},
|
||||
)
|
||||
|
||||
# Load existing config
|
||||
config = await proxy_config.get_config()
|
||||
|
||||
all_models = config.get("model_list", [])
|
||||
all_models = llm_model_list
|
||||
if user_model is not None:
|
||||
# if user does not use a config.yaml, https://github.com/BerriAI/litellm/issues/2061
|
||||
all_models += [user_model]
|
||||
|
|
|
|||
|
|
@ -2182,32 +2182,6 @@ async def update_spend(
|
|||
raise e
|
||||
|
||||
|
||||
# class Models:
|
||||
# """
|
||||
# Need a class to maintain state of models / router across calls to check if new deployments need to be added
|
||||
# """
|
||||
|
||||
# def __init__(
|
||||
# self,
|
||||
# router: litellm.Router,
|
||||
# llm_model_list: list,
|
||||
# prisma_client: PrismaClient,
|
||||
# proxy_logging_obj: ProxyLogging,
|
||||
# master_key: str,
|
||||
# ) -> None:
|
||||
# self.router = router
|
||||
# self.llm_model_list = llm_model_list
|
||||
# self.prisma_client = prisma_client
|
||||
# self.proxy_logging_obj = proxy_logging_obj
|
||||
# self.master_key = master_key
|
||||
|
||||
# def get_router(self) -> litellm.Router:
|
||||
# return self.router
|
||||
|
||||
# def get_model_list(self) -> list:
|
||||
# return self.llm_model_list
|
||||
|
||||
|
||||
async def _read_request_body(request):
|
||||
"""
|
||||
Asynchronous function to read the request body and parse it as JSON or literal data.
|
||||
|
|
|
|||
|
|
@ -110,6 +110,11 @@ class Deployment(BaseModel):
|
|||
litellm_params: LiteLLM_Params
|
||||
model_info: ModelInfo
|
||||
|
||||
def __init__(self, model_info: Optional[ModelInfo] = None, **params):
|
||||
if model_info is None:
|
||||
model_info = ModelInfo()
|
||||
super().__init__(model_info=model_info, **params)
|
||||
|
||||
def to_json(self, **kwargs):
|
||||
try:
|
||||
return self.model_dump(**kwargs) # noqa
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
|
|
@ -1 +0,0 @@
|
|||
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();
|
||||
|
|
@ -1 +0,0 @@
|
|||
self.__SSG_MANIFEST=new Set([]);self.__SSG_MANIFEST_CB&&self.__SSG_MANIFEST_CB()
|
||||
File diff suppressed because one or more lines are too long
|
|
@ -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-0b24ae51efb18f55.js" crossorigin=""/><script src="/ui/_next/static/chunks/fd9d1056-a507ee9e75a3be72.js" async="" crossorigin=""></script><script src="/ui/_next/static/chunks/69-589b47e7a69d316f.js" async="" crossorigin=""></script><script src="/ui/_next/static/chunks/main-app-9b4fb13a7db53edf.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-0b24ae51efb18f55.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/30c9f28a6132bc6e.css\",\"style\",{\"crossOrigin\":\"\"}]\n0:\"$L3\"\n"])</script><script>self.__next_f.push([1,"4:I[47690,[],\"\"]\n6:I[77831,[],\"\"]\n7:I[93838,[\"886\",\"static/chunks/886-12db202b96df83ff.js\",\"931\",\"static/chunks/app/page-3b94de7ffed5f02e.js\"],\"\"]\n8:I[5613,[],\"\"]\n9:I[31778,[],\"\"]\nb:I[48955,[],\"\"]\nc:[]\n"])</script><script>self.__next_f.push([1,"3:[[[\"$\",\"link\",\"0\",{\"rel\":\"stylesheet\",\"href\":\"/ui/_next/static/css/30c9f28a6132bc6e.css\",\"precedence\":\"next\",\"crossOrigin\":\"\"}]],[\"$\",\"$L4\",null,{\"buildId\":\"QiWWLSM3qA6xSFhVxek_e\",\"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\"}],[\"$\",\"meta\",\"5\",{\"name\":\"next-size-adjust\"}]]\n5:null\n"])</script><script>self.__next_f.push([1,""])</script></body></html>
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<!DOCTYPE html><html id="__next_error__"><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width, initial-scale=1"/><link rel="preload" as="script" fetchPriority="low" href="/ui/_next/static/chunks/webpack-6a40dd814e21c53d.js" crossorigin=""/><script src="/ui/_next/static/chunks/fd9d1056-a507ee9e75a3be72.js" async="" crossorigin=""></script><script src="/ui/_next/static/chunks/69-589b47e7a69d316f.js" async="" crossorigin=""></script><script src="/ui/_next/static/chunks/main-app-096338c8e1915716.js" async="" crossorigin=""></script><title>LiteLLM Dashboard</title><meta name="description" content="LiteLLM Proxy Admin UI"/><link rel="icon" href="/ui/favicon.ico" type="image/x-icon" sizes="16x16"/><meta name="next-size-adjust"/><script src="/ui/_next/static/chunks/polyfills-c67a75d1b6f99dc8.js" crossorigin="" noModule=""></script></head><body><script src="/ui/_next/static/chunks/webpack-6a40dd814e21c53d.js" crossorigin="" async=""></script><script>(self.__next_f=self.__next_f||[]).push([0]);self.__next_f.push([2,null])</script><script>self.__next_f.push([1,"1:HL[\"/ui/_next/static/media/c9a5bc6a7c948fb0-s.p.woff2\",\"font\",{\"crossOrigin\":\"\",\"type\":\"font/woff2\"}]\n2:HL[\"/ui/_next/static/css/7bcd72b15a5866a6.css\",\"style\",{\"crossOrigin\":\"\"}]\n0:\"$L3\"\n"])</script><script>self.__next_f.push([1,"4:I[47690,[],\"\"]\n6:I[77831,[],\"\"]\n7:I[1445,[\"253\",\"static/chunks/253-8ab6133ad5f92675.js\",\"931\",\"static/chunks/app/page-00f6ea4f05c8056c.js\"],\"\"]\n8:I[5613,[],\"\"]\n9:I[31778,[],\"\"]\nb:I[48955,[],\"\"]\nc:[]\n"])</script><script>self.__next_f.push([1,"3:[[[\"$\",\"link\",\"0\",{\"rel\":\"stylesheet\",\"href\":\"/ui/_next/static/css/7bcd72b15a5866a6.css\",\"precedence\":\"next\",\"crossOrigin\":\"\"}]],[\"$\",\"$L4\",null,{\"buildId\":\"KxmC4XSoJkpoSB5wSvt5e\",\"assetPrefix\":\"/ui\",\"initialCanonicalUrl\":\"/\",\"initialTree\":[\"\",{\"children\":[\"__PAGE__\",{}]},\"$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\"}],[\"$\",\"meta\",\"5\",{\"name\":\"next-size-adjust\"}]]\n5:null\n"])</script><script>self.__next_f.push([1,""])</script></body></html>
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||||
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|
@ -1,7 +1,7 @@
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2:I[77831,[],""]
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||||
4:I[5613,[],""]
|
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5:I[31778,[],""]
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|
||||
6:[["$","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
|
||||
|
|
|
|||
10
ui/litellm-dashboard/package-lock.json
generated
10
ui/litellm-dashboard/package-lock.json
generated
|
|
@ -29,6 +29,7 @@
|
|||
"@tailwindcss/forms": "^0.5.7",
|
||||
"@types/node": "^20",
|
||||
"@types/react": "18.2.48",
|
||||
"@types/react-copy-to-clipboard": "^5.0.7",
|
||||
"@types/react-dom": "^18",
|
||||
"@types/react-syntax-highlighter": "^15.5.11",
|
||||
"autoprefixer": "^10.4.17",
|
||||
|
|
@ -923,6 +924,15 @@
|
|||
"csstype": "^3.0.2"
|
||||
}
|
||||
},
|
||||
"node_modules/@types/react-copy-to-clipboard": {
|
||||
"version": "5.0.7",
|
||||
"resolved": "https://registry.npmjs.org/@types/react-copy-to-clipboard/-/react-copy-to-clipboard-5.0.7.tgz",
|
||||
"integrity": "sha512-Gft19D+as4M+9Whq1oglhmK49vqPhcLzk8WfvfLvaYMIPYanyfLy0+CwFucMJfdKoSFyySPmkkWn8/E6voQXjQ==",
|
||||
"dev": true,
|
||||
"dependencies": {
|
||||
"@types/react": "*"
|
||||
}
|
||||
},
|
||||
"node_modules/@types/react-dom": {
|
||||
"version": "18.2.18",
|
||||
"resolved": "https://registry.npmjs.org/@types/react-dom/-/react-dom-18.2.18.tgz",
|
||||
|
|
|
|||
|
|
@ -30,6 +30,7 @@
|
|||
"@tailwindcss/forms": "^0.5.7",
|
||||
"@types/node": "^20",
|
||||
"@types/react": "18.2.48",
|
||||
"@types/react-copy-to-clipboard": "^5.0.7",
|
||||
"@types/react-dom": "^18",
|
||||
"@types/react-syntax-highlighter": "^15.5.11",
|
||||
"autoprefixer": "^10.4.17",
|
||||
|
|
|
|||
|
|
@ -6,11 +6,27 @@ interface DashboardTeamProps {
|
|||
setSelectedTeam: React.Dispatch<React.SetStateAction<any | null>>;
|
||||
}
|
||||
|
||||
type TeamInterface = {
|
||||
models: any[];
|
||||
team_id: null;
|
||||
team_alias: String
|
||||
}
|
||||
|
||||
const DashboardTeam: React.FC<DashboardTeamProps> = ({
|
||||
teams,
|
||||
setSelectedTeam,
|
||||
}) => {
|
||||
const [value, setValue] = useState("");
|
||||
const defaultTeam: TeamInterface = {
|
||||
models: [],
|
||||
team_id: null,
|
||||
team_alias: "Default Team"
|
||||
}
|
||||
|
||||
|
||||
const [value, setValue] = useState(defaultTeam);
|
||||
|
||||
const updatedTeams = teams ? [...teams, defaultTeam] : [defaultTeam];
|
||||
|
||||
|
||||
return (
|
||||
<div className="mt-5 mb-5">
|
||||
|
|
@ -19,9 +35,12 @@ const DashboardTeam: React.FC<DashboardTeamProps> = ({
|
|||
If you belong to multiple teams, this setting controls which team is
|
||||
used by default when creating new API Keys.
|
||||
</Text>
|
||||
{teams && teams.length > 0 ? (
|
||||
<Text className="mt-3 mb-3">
|
||||
<b>Default Team:</b> If no team_id is set for a key, it will be grouped under here.
|
||||
</Text>
|
||||
{updatedTeams && updatedTeams.length > 0 ? (
|
||||
<Select defaultValue="0">
|
||||
{teams.map((team: any, index) => (
|
||||
{updatedTeams.map((team: any, index) => (
|
||||
<SelectItem
|
||||
key={index}
|
||||
value={String(index)}
|
||||
|
|
|
|||
|
|
@ -13,12 +13,29 @@ import {
|
|||
Text,
|
||||
Grid,
|
||||
} from "@tremor/react";
|
||||
import { modelInfoCall, userGetRequesedtModelsCall, modelMetricsCall } from "./networking";
|
||||
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 { BarChart } from "@tremor/react";
|
||||
import {
|
||||
Button as Button2,
|
||||
Modal,
|
||||
Form,
|
||||
Input,
|
||||
Select as Select2,
|
||||
InputNumber,
|
||||
message,
|
||||
Descriptions,
|
||||
Tooltip,
|
||||
Space,
|
||||
Row, Col,
|
||||
} from "antd";
|
||||
import { Badge, BadgeDelta, Button } from "@tremor/react";
|
||||
import RequestAccess from "./request_model_access";
|
||||
import { Typography } from "antd";
|
||||
|
||||
const { Title: Title2, Link } = Typography;
|
||||
|
||||
interface ModelDashboardProps {
|
||||
accessToken: string | null;
|
||||
token: string | null;
|
||||
|
|
@ -35,6 +52,10 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
const [modelData, setModelData] = useState<any>({ data: [] });
|
||||
const [modelMetrics, setModelMetrics] = useState<any[]>([]);
|
||||
const [pendingRequests, setPendingRequests] = useState<any[]>([]);
|
||||
const [form] = Form.useForm();
|
||||
|
||||
const providers = ["OpenAI", "Azure OpenAI", "Anthropic", "Gemini (Google AI Studio)", "Amazon Bedrock", "OpenAI-Compatible Endpoints (Groq, Together AI, Mistral AI, etc.)"]
|
||||
const [selectedProvider, setSelectedProvider] = useState<String>("OpenAI");
|
||||
|
||||
useEffect(() => {
|
||||
if (!accessToken || !token || !userRole || !userID) {
|
||||
|
|
@ -141,9 +162,73 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
);
|
||||
}
|
||||
|
||||
const handleSubmit = async (formValues: Record<string, any>) => {
|
||||
const litellmParamsObj: Record<string, any> = {};
|
||||
const modelInfoObj: Record<string, any> = {};
|
||||
let modelName: string = "";
|
||||
// Iterate through the key-value pairs in formValues
|
||||
for (const [key, value] of Object.entries(formValues)) {
|
||||
console.log(`key: ${key}, value: ${value}`)
|
||||
if (key == "model_name") {
|
||||
modelName = value
|
||||
}
|
||||
|
||||
// Check if key is any of the specified API related keys
|
||||
if (key === "api_key" || key === "model" || key === "api_base" || key === "api_version" || key.startsWith("aws_")) {
|
||||
// Add key-value pair to litellm_params dictionary
|
||||
litellmParamsObj[key] = value;
|
||||
}
|
||||
|
||||
// Check if key is "base_model"
|
||||
if (key === "base_model") {
|
||||
// Add key-value pair to model_info dictionary
|
||||
modelInfoObj[key] = value;
|
||||
}
|
||||
}
|
||||
|
||||
console.log(`final new model: ${modelName}`)
|
||||
|
||||
const new_model: Model = {
|
||||
"model_name": modelName,
|
||||
"litellm_params": litellmParamsObj,
|
||||
"model_info": modelInfoObj
|
||||
}
|
||||
|
||||
|
||||
|
||||
const response: any = await modelCreateCall(
|
||||
accessToken,
|
||||
new_model
|
||||
);
|
||||
|
||||
console.log(`response for model create call: ${response["data"]}`);
|
||||
}
|
||||
|
||||
const handleOk = () => {
|
||||
form
|
||||
.validateFields()
|
||||
.then((values) => {
|
||||
handleSubmit(values);
|
||||
form.resetFields();
|
||||
})
|
||||
.catch((error) => {
|
||||
console.error("Validation failed:", error);
|
||||
});
|
||||
};
|
||||
|
||||
console.log(`selectedProvider: ${selectedProvider}`)
|
||||
|
||||
return (
|
||||
<div style={{ width: "100%" }}>
|
||||
<Grid className="gap-2 p-8 h-[75vh] w-full mt-2">
|
||||
<div style={{ width: "100%", height: "100%"}}>
|
||||
<TabGroup className="gap-2 p-8 h-[75vh] w-full mt-2">
|
||||
<TabList className="mt-2">
|
||||
<Tab>All Models</Tab>
|
||||
<Tab>Add Model</Tab>
|
||||
</TabList>
|
||||
|
||||
<TabPanels>
|
||||
<TabPanel>
|
||||
<Grid>
|
||||
<Card>
|
||||
<Table className="mt-5">
|
||||
<TableHead>
|
||||
|
|
@ -274,6 +359,130 @@ const ModelDashboard: React.FC<ModelDashboardProps> = ({
|
|||
</Card>
|
||||
) : null} */}
|
||||
</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.Item required={true} label="Provider:" name="custom_llm_provider" tooltip="E.g. OpenAI, Azure OpenAI, Anthropic, Bedrock, etc." labelCol={{ span: 10 }} labelAlign="left">
|
||||
<Select value={selectedProvider.toString()}>
|
||||
{providers.map((provider, index) => (
|
||||
<SelectItem
|
||||
key={index}
|
||||
value={provider}
|
||||
onClick={() => {
|
||||
setSelectedProvider(provider);
|
||||
}}
|
||||
>
|
||||
{provider}
|
||||
</SelectItem>
|
||||
))}
|
||||
</Select>
|
||||
</Form.Item>
|
||||
<Form
|
||||
form={form}
|
||||
onFinish={handleOk}
|
||||
labelCol={{ span: 10 }}
|
||||
wrapperCol={{ span: 16 }}
|
||||
labelAlign="left"
|
||||
>
|
||||
<>
|
||||
<Form.Item required={true} 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"/>
|
||||
</Form.Item>
|
||||
<Row>
|
||||
<Col span={10}></Col>
|
||||
<Col span={10}><Text className="mb-3 mt-1">Model name your users will pass in</Text></Col>
|
||||
</Row>
|
||||
<Form.Item required={true} 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"/>
|
||||
</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></Text></Col>
|
||||
</Row>
|
||||
|
||||
{
|
||||
selectedProvider != "Amazon Bedrock" && <Form.Item
|
||||
required={true}
|
||||
label="API Key"
|
||||
name="api_key"
|
||||
>
|
||||
<TextInput placeholder="sk-"/>
|
||||
</Form.Item>
|
||||
}
|
||||
{
|
||||
selectedProvider == "Azure OpenAI" && <Form.Item
|
||||
required={true}
|
||||
label="API Base"
|
||||
name="api_base"
|
||||
>
|
||||
<TextInput placeholder="https://..."/>
|
||||
</Form.Item>
|
||||
}
|
||||
{
|
||||
selectedProvider == "Azure OpenAI" && <Form.Item
|
||||
required={true}
|
||||
label="API Version"
|
||||
name="api_version"
|
||||
>
|
||||
<TextInput placeholder="2023-07-01-preview"/>
|
||||
</Form.Item>
|
||||
}
|
||||
{
|
||||
selectedProvider == "Azure OpenAI" && <Form.Item
|
||||
label="Base Model"
|
||||
name="base_model"
|
||||
>
|
||||
<TextInput placeholder="azure/gpt-3.5-turbo"/>
|
||||
<Text>The actual model your azure deployment uses. Used for accurate cost tracking. Select name from <Link href="https://github.com/BerriAI/litellm/blob/main/model_prices_and_context_window.json" target="_blank">here</Link></Text>
|
||||
</Form.Item>
|
||||
}
|
||||
{
|
||||
selectedProvider == "Amazon Bedrock" && <Form.Item
|
||||
required={true}
|
||||
label="AWS Access Key ID"
|
||||
name="aws_access_key_id"
|
||||
tooltip="You can provide the raw key or the environment variable (e.g. `os.environ/MY_SECRET_KEY`)."
|
||||
>
|
||||
<TextInput placeholder=""/>
|
||||
</Form.Item>
|
||||
}
|
||||
{
|
||||
selectedProvider == "Amazon Bedrock" && <Form.Item
|
||||
required={true}
|
||||
label="AWS Secret Access Key"
|
||||
name="aws_secret_access_key"
|
||||
tooltip="You can provide the raw key or the environment variable (e.g. `os.environ/MY_SECRET_KEY`)."
|
||||
>
|
||||
<TextInput placeholder=""/>
|
||||
</Form.Item>
|
||||
}
|
||||
{
|
||||
selectedProvider == "Amazon Bedrock" && <Form.Item
|
||||
required={true}
|
||||
label="AWS Region Name"
|
||||
name="aws_region_name"
|
||||
tooltip="You can provide the raw key or the environment variable (e.g. `os.environ/MY_SECRET_KEY`)."
|
||||
>
|
||||
<TextInput placeholder="us-east-1"/>
|
||||
</Form.Item>
|
||||
}
|
||||
</>
|
||||
<div style={{ textAlign: "center", marginTop: "10px" }}>
|
||||
<Button2 htmlType="submit">Add Model</Button2>
|
||||
</div>
|
||||
<Tooltip title="Get help on our github">
|
||||
<Typography.Link href="https://github.com/BerriAI/litellm/issues">Need Help?</Typography.Link>
|
||||
</Tooltip>
|
||||
</Form>
|
||||
</Card>
|
||||
</TabPanel>
|
||||
</TabPanels>
|
||||
</TabGroup>
|
||||
|
||||
</div>
|
||||
);
|
||||
};
|
||||
|
|
|
|||
|
|
@ -6,6 +6,45 @@ import { message } from "antd";
|
|||
const isLocal = process.env.NODE_ENV === "development";
|
||||
const proxyBaseUrl = isLocal ? "http://localhost:4000" : null;
|
||||
|
||||
export interface Model {
|
||||
model_name: string;
|
||||
litellm_params: Object;
|
||||
model_info: Object | null;
|
||||
}
|
||||
|
||||
export const modelCreateCall = async (
|
||||
accessToken: string,
|
||||
formValues: Model
|
||||
) => {
|
||||
try {
|
||||
const url = proxyBaseUrl ? `${proxyBaseUrl}/model/new` : `/model/new`;
|
||||
const response = await fetch(url, {
|
||||
method: "POST",
|
||||
headers: {
|
||||
Authorization: `Bearer ${accessToken}`,
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify({
|
||||
...formValues, // Include formValues in the request body
|
||||
}),
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
const errorData = await response.text();
|
||||
message.error("Failed to create key: " + errorData);
|
||||
console.error("Error response from the server:", errorData);
|
||||
throw new Error("Network response was not ok");
|
||||
}
|
||||
|
||||
const data = await response.json();
|
||||
console.log("API Response:", data);
|
||||
return data;
|
||||
} catch (error) {
|
||||
console.error("Failed to create key:", error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
export const keyCreateCall = async (
|
||||
accessToken: string,
|
||||
userID: string,
|
||||
|
|
|
|||
|
|
@ -70,7 +70,7 @@ const ViewUserSpend: React.FC<ViewUserSpendProps> = ({ userID, userRole, accessT
|
|||
|
||||
return (
|
||||
<>
|
||||
<p className="text-tremor-default text-tremor-content dark:text-dark-tremor-content">Total Spend</p>
|
||||
<p className="text-tremor-default text-tremor-content dark:text-dark-tremor-content">Total Spend (across all teams)</p>
|
||||
<p className="text-3xl text-tremor-content-strong dark:text-dark-tremor-content-strong font-semibold">${roundedSpend}</p>
|
||||
|
||||
</>
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue