fix(router): price baseline candidates by base_model, not the deployment name

`litellm_params.model` is not always a model. On Azure it is the deployment
name, which is absent from the cost map, so pricing it directly returned nothing
and the candidate dropped out of the pool with only a debug line. If that
candidate was the priciest, the baseline quietly became the second priciest and
every saving was understated; if the pool was all Azure, nothing priced, the
driver was disabled and the card read $0.00 with nothing at default log level
saying why. Wildcard and aliased deployments drop the same way.

`model_info.base_model` is what names the real model, and router.py already
resolves pricing through the same base_model, base_model, model chain in
`_get_model_from_deployment` and its cooldown counterpart. Candidate resolution
now follows it.

litellm/proxy/_experimental/out/_next/static/chunks/1lrw-21mmi7hg.js

@@ -0,0 +1,35 @@
+(globalThis.TURBOPACK||(globalThis.TURBOPACK=[])).push(["object"==typeof document?document.currentScript:void 0,624687,e=>{"use strict";var r=e.i(843476),a=e.i(271645),t=e.i(115504);let s=a.forwardRef(({className:e,...a},s)=>(0,r.jsx)("textarea",{ref:s,"data-slot":"textarea",className:(0,t.cn)("flex field-sizing-content min-h-16 w-full rounded-md border border-input bg-transparent px-2.5 py-2 text-base shadow-xs transition-[color,box-shadow] outline-none placeholder:text-muted-foreground focus-visible:border-ring focus-visible:ring-3 focus-visible:ring-ring/50 disabled:cursor-not-allowed disabled:opacity-50 aria-invalid:border-destructive aria-invalid:ring-3 aria-invalid:ring-destructive/20 md:text-sm dark:bg-input/30 dark:aria-invalid:border-destructive/50 dark:aria-invalid:ring-destructive/40",e),...a}));s.displayName="Textarea",e.s(["Textarea",0,s])},515288,e=>{"use strict";var r=e.i(843476),a=e.i(271645),t=e.i(115504);let s=a.forwardRef(({className:e,size:a="default",...s},i)=>(0,r.jsx)("div",{ref:i,"data-slot":"card","data-size":a,className:(0,t.cn)("group/card flex flex-col gap-(--card-spacing) rounded-xl bg-card py-(--card-spacing) text-sm text-card-foreground shadow-xs ring-1 ring-foreground/10 [--card-spacing:--spacing(6)] has-[>img:first-child]:pt-0 data-[size=sm]:[--card-spacing:--spacing(4)] *:[img:first-child]:rounded-t-xl *:[img:last-child]:rounded-b-xl",e),...s}));s.displayName="Card";let i=a.forwardRef(({className:e,...a},s)=>(0,r.jsx)("div",{ref:s,"data-slot":"card-header",className:(0,t.cn)("group/card-header @container/card-header grid auto-rows-min items-start gap-1 rounded-t-xl px-(--card-spacing) has-data-[slot=card-action]:grid-cols-[1fr_auto] has-data-[slot=card-description]:grid-rows-[auto_auto] [.border-b]:pb-(--card-spacing)",e),...a}));i.displayName="CardHeader";let d=a.forwardRef(({className:e,...a},s)=>(0,r.jsx)("div",{ref:s,"data-slot":"card-title",className:(0,t.cn)("text-base leading-normal font-medium group-data-[size=sm]/card:text-sm",e),...a}));d.displayName="CardTitle";let o=a.forwardRef(({className:e,...a},s)=>(0,r.jsx)("div",{ref:s,"data-slot":"card-description",className:(0,t.cn)("text-sm text-muted-foreground",e),...a}));o.displayName="CardDescription";let n=a.forwardRef(({className:e,...a},s)=>(0,r.jsx)("div",{ref:s,"data-slot":"card-action",className:(0,t.cn)("col-start-2 row-span-2 row-start-1 self-start justify-self-end",e),...a}));n.displayName="CardAction";let l=a.forwardRef(({className:e,...a},s)=>(0,r.jsx)("div",{ref:s,"data-slot":"card-content",className:(0,t.cn)("px-(--card-spacing)",e),...a}));l.displayName="CardContent";let c=a.forwardRef(({className:e,...a},s)=>(0,r.jsx)("div",{ref:s,"data-slot":"card-footer",className:(0,t.cn)("flex items-center rounded-b-xl px-(--card-spacing) [.border-t]:pt-(--card-spacing)",e),...a}));c.displayName="CardFooter",e.s(["Card",0,s,"CardAction",0,n,"CardContent",0,l,"CardDescription",0,o,"CardFooter",0,c,"CardHeader",0,i,"CardTitle",0,d])},972520,e=>{"use strict";let r=(0,e.i(475254).default)("arrow-right",[["path",{d:"M5 12h14",key:"1ays0h"}],["path",{d:"m12 5 7 7-7 7",key:"xquz4c"}]]);e.s(["ArrowRight",0,r],972520)},411929,e=>{"use strict";var r=e.i(843476),a=e.i(271645),t=e.i(972520),s=e.i(174886),i=e.i(519455),d=e.i(515288),o=e.i(624687),n=e.i(571303),l=e.i(602869),c=e.i(727749);let u=({accessToken:e})=>{let[u,m]=(0,a.useState)(`{
+  "model": "openai/gpt-4o",
+  "messages": [
+    {
+      "role": "system",
+      "content": "You are a helpful assistant."
+    },
+    {
+      "role": "user",
+      "content": "Explain quantum computing in simple terms"
+    }
+  ],
+  "temperature": 0.7,
+  "max_tokens": 500,
+  "stream": true
+}`),[p,f]=(0,a.useState)(""),[x,g]=(0,a.useState)(!1),h=async()=>{g(!0);try{let s;try{s=JSON.parse(u)}catch(e){c.default.fromBackend("Invalid JSON in request body"),g(!1);return}let i={call_type:"completion",request_body:s};if(!e){c.default.fromBackend("No access token found"),g(!1);return}let d=await (0,l.transformRequestCall)(e,i);if(d.raw_request_api_base&&d.raw_request_body){var r,a,t;let e,s,i=(r=d.raw_request_api_base,a=d.raw_request_body,t=d.raw_request_headers||{},e=JSON.stringify(a,null,2).split("\n").map(e=>`  ${e}`).join("\n"),s=Object.entries(t).map(([e,r])=>`-H '${e}: ${r}'`).join(" \\\n  "),`curl -X POST \\
+  ${r} \\
+  ${s?`${s} \\
+  `:""}-H 'Content-Type: application/json' \\
+  -d '{
+${e}
+  }'`);f(i),c.default.success("Request transformed successfully")}else{let e="string"==typeof d?d:JSON.stringify(d);f(e),c.default.info("Transformed request received in unexpected format")}}catch(e){console.error("Error transforming request:",e),c.default.fromBackend("Failed to transform request")}finally{g(!1)}};return(0,r.jsxs)("div",{className:"p-2",children:[(0,r.jsx)("h1",{className:"text-lg font-medium text-foreground",children:"Playground"}),(0,r.jsx)("p",{className:"text-sm text-muted-foreground",children:"See how LiteLLM transforms your request for the specified provider."}),(0,r.jsxs)("div",{className:"mt-4 grid grid-cols-1 gap-4 lg:grid-cols-2",children:[(0,r.jsxs)(d.Card,{children:[(0,r.jsxs)(d.CardHeader,{children:[(0,r.jsx)(d.CardTitle,{className:"text-2xl font-bold",children:"Original Request"}),(0,r.jsx)(d.CardDescription,{children:"The request you would send to LiteLLM /chat/completions endpoint."})]}),(0,r.jsx)(d.CardContent,{children:(0,r.jsx)(o.Textarea,{className:"h-72 resize-none p-4 font-mono text-sm field-sizing-fixed",value:u,onChange:e=>m(e.target.value),onKeyDown:e=>{(e.metaKey||e.ctrlKey)&&"Enter"===e.key&&(e.preventDefault(),h())},placeholder:"Press Cmd/Ctrl + Enter to transform"})}),(0,r.jsx)(d.CardFooter,{className:"justify-end",children:(0,r.jsxs)(i.Button,{onClick:h,disabled:x,children:[(0,r.jsx)("span",{children:"Transform"}),x?(0,r.jsx)(n.UiLoadingSpinner,{className:"size-4"}):(0,r.jsx)(t.ArrowRight,{})]})})]}),(0,r.jsxs)(d.Card,{children:[(0,r.jsxs)(d.CardHeader,{children:[(0,r.jsx)(d.CardTitle,{className:"text-2xl font-bold",children:"Transformed Request"}),(0,r.jsx)(d.CardDescription,{children:"How LiteLLM transforms your request for the specified provider."}),(0,r.jsx)("p",{className:"mt-2 text-xs text-muted-foreground",children:"Note: Sensitive headers are not shown."})]}),(0,r.jsx)(d.CardContent,{children:(0,r.jsxs)("div",{className:"relative rounded-md bg-muted",children:[(0,r.jsx)("pre",{className:"h-72 overflow-auto p-4 font-mono text-sm",children:p||`curl -X POST \\
+  https://api.openai.com/v1/chat/completions \\
+  -H 'Authorization: Bearer sk-xxx' \\
+  -H 'Content-Type: application/json' \\
+  -d '{
+  "model": "gpt-4",
+  "messages": [
+    {
+      "role": "system",
+      "content": "You are a helpful assistant."
+    }
+  ],
+  "temperature": 0.7
+  }'`}),(0,r.jsx)(i.Button,{variant:"ghost",size:"icon-sm","aria-label":"Copy to clipboard",className:"absolute top-2 right-2",onClick:()=>{navigator.clipboard.writeText(p||""),c.default.success("Copied to clipboard")},children:(0,r.jsx)(s.Copy,{})})]})})]})]}),(0,r.jsx)("div",{className:"mt-4 text-right",children:(0,r.jsxs)("p",{className:"text-sm text-muted-foreground",children:["Found an error? File an issue"," ",(0,r.jsx)("a",{className:"underline underline-offset-4",href:"https://github.com/BerriAI/litellm/issues",target:"_blank",rel:"noopener noreferrer",children:"here"}),"."]})})]})};var m=e.i(135214);e.s(["default",0,function(){let{accessToken:e}=(0,m.default)();return(0,r.jsx)(u,{accessToken:e})}],411929)}]);