feat(ui): support * wildcards and /regex/ in Usage page key search

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>

litellm/proxy/_experimental/out/__next._tree.txt

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-:HL["/litellm-asset-prefix/_next/static/chunks/3146e697tym4_.css","style"]
+:HL["/litellm-asset-prefix/_next/static/chunks/1s9f3yh5f_oeo.css","style"]
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+  "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,h]=(0,r.useState)(""),[x,f]=(0,r.useState)(!1),g=async()=>{f(!0);try{let a;try{a=JSON.parse(u)}catch(e){c.toast.fromError("Invalid JSON in request body"),f(!1);return}let o={call_type:"completion",request_body:a};if(!e){c.toast.fromError("No access token found"),f(!1);return}let n=await (0,d.transformRequestCall)(e,o);if(n.raw_request_api_base&&n.raw_request_body){var t,r,s;let e,a,o=(t=n.raw_request_api_base,r=n.raw_request_body,s=n.raw_request_headers||{},e=JSON.stringify(r,null,2).split("\n").map(e=>`  ${e}`).join("\n"),a=Object.entries(s).map(([e,t])=>`-H '${e}: ${t}'`).join(" \\\n  "),`curl -X POST \\
+  ${t} \\
+  ${a?`${a} \\
+  `:""}-H 'Content-Type: application/json' \\
+  -d '{
+${e}
+  }'`);h(o),c.toast.success("Request transformed successfully")}else{let e="string"==typeof n?n:JSON.stringify(n);h(e),c.toast.info("Transformed request received in unexpected format")}}catch(e){console.error("Error transforming request:",e),c.toast.fromError("Failed to transform request")}finally{f(!1)}};return(0,t.jsxs)("div",{className:"p-2",children:[(0,t.jsx)("h1",{className:"text-lg font-medium text-foreground",children:"Playground"}),(0,t.jsx)("p",{className:"text-sm text-muted-foreground",children:"See how LiteLLM transforms your request for the specified provider."}),(0,t.jsxs)("div",{className:"mt-4 grid grid-cols-1 gap-4 lg:grid-cols-2",children:[(0,t.jsxs)(n.Card,{children:[(0,t.jsxs)(n.CardHeader,{children:[(0,t.jsx)(n.CardTitle,{className:"text-2xl font-bold",children:"Original Request"}),(0,t.jsx)(n.CardDescription,{children:"The request you would send to LiteLLM /chat/completions endpoint."})]}),(0,t.jsx)(n.CardContent,{children:(0,t.jsx)(i.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(),g())},placeholder:"Press Cmd/Ctrl + Enter to transform"})}),(0,t.jsx)(n.CardFooter,{className:"justify-end",children:(0,t.jsxs)(o.Button,{onClick:g,disabled:x,children:[(0,t.jsx)("span",{children:"Transform"}),x?(0,t.jsx)(l.UiLoadingSpinner,{className:"size-4"}):(0,t.jsx)(s.ArrowRight,{})]})})]}),(0,t.jsxs)(n.Card,{children:[(0,t.jsxs)(n.CardHeader,{children:[(0,t.jsx)(n.CardTitle,{className:"text-2xl font-bold",children:"Transformed Request"}),(0,t.jsx)(n.CardDescription,{children:"How LiteLLM transforms your request for the specified provider."}),(0,t.jsx)("p",{className:"mt-2 text-xs text-muted-foreground",children:"Note: Sensitive headers are not shown."})]}),(0,t.jsx)(n.CardContent,{children:(0,t.jsxs)("div",{className:"relative rounded-md bg-muted",children:[(0,t.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": [
+    {
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+      "content": "You are a helpful assistant."
+    }
+  ],
+  "temperature": 0.7
+  }'`}),(0,t.jsx)(o.Button,{variant:"ghost",size:"icon-sm","aria-label":"Copy to clipboard",className:"absolute top-2 right-2",onClick:()=>{navigator.clipboard.writeText(p||""),c.toast.success("Copied to clipboard")},children:(0,t.jsx)(a.Copy,{})})]})})]})]}),(0,t.jsx)("div",{className:"mt-4 text-right",children:(0,t.jsxs)("p",{className:"text-sm text-muted-foreground",children:["Found an error? File an issue"," ",(0,t.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,t.jsx)(u,{accessToken:e})}],411929)}]);

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 client = openai.OpenAI(
     api_key="your_api_key",
-    base_url="${r}" # LiteLLM Proxy is OpenAI compatible, Read More: https://docs.litellm.ai/docs/proxy/user_keys
+    base_url="${s}" # LiteLLM Proxy is OpenAI compatible, Read More: https://docs.litellm.ai/docs/proxy/user_keys
 )
 
 response = client.chat.completions.create(
@@ -14,7 +14,7 @@ response = client.chat.completions.create(
     ]
 )
 
-print(response)`})}),(0,t.jsx)(s.TabsContent,{value:"llamaindex",keepMounted:!0,children:(0,t.jsx)(n.default,{language:"python",code:`import os, dotenv
+print(response)`})}),(0,t.jsx)(r.TabsContent,{value:"llamaindex",keepMounted:!0,children:(0,t.jsx)(n.default,{language:"python",code:`import os, dotenv
 
 from llama_index.llms import AzureOpenAI
 from llama_index.embeddings import AzureOpenAIEmbedding
@@ -23,15 +23,15 @@ from llama_index import VectorStoreIndex, SimpleDirectoryReader, ServiceContext
 llm = AzureOpenAI(
     engine="azure-gpt-3.5",               # model_name on litellm proxy
     temperature=0.0,
-    azure_endpoint="${r}", # litellm proxy endpoint
-    api_key="sk-1234",                    # litellm proxy API Key
+    azure_endpoint="${s}", # litellm proxy endpoint
+    api_key="<your-master-key>",          # litellm proxy API Key
     api_version="2023-07-01-preview",
 )
 
 embed_model = AzureOpenAIEmbedding(
     deployment_name="azure-embedding-model",
-    azure_endpoint="${r}",
-    api_key="sk-1234",
+    azure_endpoint="${s}",
+    api_key="<your-master-key>",
     api_version="2023-07-01-preview",
 )
 
@@ -41,7 +41,7 @@ index = VectorStoreIndex.from_documents(documents, service_context=service_conte
 
 query_engine = index.as_query_engine()
 response = query_engine.query("What did the author do growing up?")
-print(response)`})}),(0,t.jsx)(s.TabsContent,{value:"langchain",keepMounted:!0,children:(0,t.jsx)(n.default,{language:"python",code:`from langchain.chat_models import ChatOpenAI
+print(response)`})}),(0,t.jsx)(r.TabsContent,{value:"langchain",keepMounted:!0,children:(0,t.jsx)(n.default,{language:"python",code:`from langchain.chat_models import ChatOpenAI
 from langchain.prompts.chat import (
     ChatPromptTemplate,
     HumanMessagePromptTemplate,
@@ -50,7 +50,7 @@ from langchain.prompts.chat import (
 from langchain.schema import HumanMessage, SystemMessage
 
 chat = ChatOpenAI(
-    openai_api_base="${r}",
+    openai_api_base="${s}",
     model = "gpt-3.5-turbo",
     temperature=0.1
 )
@@ -65,4 +65,4 @@ messages = [
 ]
 response = chat(messages)
 
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