mirror of
https://github.com/BerriAI/litellm.git
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Merge remote-tracking branch 'berri/litellm_internal_staging' into litellm_bulk_team_member_update
This commit is contained in:
commit
8263add5ff
837 changed files with 7442 additions and 6109 deletions
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@ -1,6 +1,6 @@
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[project]
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name = "litellm-proxy-extras"
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version = "0.4.75"
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version = "0.4.76"
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description = "Additional files for the LiteLLM Proxy. Reduces the size of the main litellm package."
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readme = "README.md"
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requires-python = ">=3.9"
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@ -26,7 +26,7 @@ required-version = ">=0.10.9"
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module-root = ""
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[tool.commitizen]
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version = "0.4.75"
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version = "0.4.76"
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version_files = [
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"pyproject.toml:^version",
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"../pyproject.toml:litellm-proxy-extras==",
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}`),[c,p]=(0,r.useState)(""),[u,m]=(0,r.useState)(!1),x=async()=>{m(!0);try{let o;try{o=JSON.parse(n)}catch(e){a.default.fromBackend("Invalid JSON in request body"),m(!1);return}let i={call_type:"completion",request_body:o};if(!e){a.default.fromBackend("No access token found"),m(!1);return}let d=await (0,l.transformRequestCall)(e,i);if(d.raw_request_api_base&&d.raw_request_body){var t,r,s;let e,o,i=(t=d.raw_request_api_base,r=d.raw_request_body,s=d.raw_request_headers||{},e=JSON.stringify(r,null,2).split("\n").map(e=>` ${e}`).join("\n"),o=Object.entries(s).map(([e,t])=>`-H '${e}: ${t}'`).join(" \\\n "),`curl -X POST \\
|
||||
}`),[c,u]=(0,r.useState)(""),[p,x]=(0,r.useState)(!1),m=async()=>{x(!0);try{let s;try{s=JSON.parse(n)}catch(e){i.default.fromBackend("Invalid JSON in request body"),x(!1);return}let l={call_type:"completion",request_body:s};if(!e){i.default.fromBackend("No access token found"),x(!1);return}let d=await (0,a.transformRequestCall)(e,l);if(d.raw_request_api_base&&d.raw_request_body){var t,r,o;let e,s,l=(t=d.raw_request_api_base,r=d.raw_request_body,o=d.raw_request_headers||{},e=JSON.stringify(r,null,2).split("\n").map(e=>` ${e}`).join("\n"),s=Object.entries(o).map(([e,t])=>`-H '${e}: ${t}'`).join(" \\\n "),`curl -X POST \\
|
||||
${t} \\
|
||||
${o?`${o} \\
|
||||
${s?`${s} \\
|
||||
`:""}-H 'Content-Type: application/json' \\
|
||||
-d '{
|
||||
${e}
|
||||
}'`);p(i),a.default.success("Request transformed successfully")}else{let e="string"==typeof d?d:JSON.stringify(d);p(e),a.default.info("Transformed request received in unexpected format")}}catch(e){console.error("Error transforming request:",e),a.default.fromBackend("Failed to transform request")}finally{m(!1)}};return(0,t.jsxs)("div",{className:"w-full m-2",style:{overflow:"hidden"},children:[(0,t.jsx)(i.Title,{children:"Playground"}),(0,t.jsx)("p",{className:"text-sm text-gray-500",children:"See how LiteLLM transforms your request for the specified provider."}),(0,t.jsxs)("div",{style:{display:"flex",gap:"16px",width:"100%",minWidth:0,overflow:"hidden"},className:"mt-4",children:[(0,t.jsxs)("div",{style:{flex:"1 1 50%",display:"flex",flexDirection:"column",border:"1px solid #e8e8e8",borderRadius:"8px",padding:"24px",overflow:"hidden",maxHeight:"600px",minWidth:0},children:[(0,t.jsxs)("div",{style:{marginBottom:"24px"},children:[(0,t.jsx)("h2",{style:{fontSize:"24px",fontWeight:"bold",margin:"0 0 4px 0"},children:"Original Request"}),(0,t.jsx)("p",{style:{color:"#666",margin:0},children:"The request you would send to LiteLLM /chat/completions endpoint."})]}),(0,t.jsx)("textarea",{style:{flex:"1 1 auto",width:"100%",minHeight:"240px",padding:"16px",border:"1px solid #e8e8e8",borderRadius:"6px",fontFamily:"monospace",fontSize:"14px",resize:"none",marginBottom:"24px",overflow:"auto"},value:n,onChange:e=>d(e.target.value),onKeyDown:e=>{(e.metaKey||e.ctrlKey)&&"Enter"===e.key&&(e.preventDefault(),x())},placeholder:"Press Cmd/Ctrl + Enter to transform"}),(0,t.jsx)("div",{style:{display:"flex",justifyContent:"flex-end",marginTop:"auto"},children:(0,t.jsxs)(s.Button,{type:"primary",style:{backgroundColor:"#000",display:"flex",alignItems:"center",gap:"8px"},onClick:x,loading:u,children:[(0,t.jsx)("span",{children:"Transform"}),(0,t.jsx)("span",{children:"→"})]})})]}),(0,t.jsxs)("div",{style:{flex:"1 1 50%",display:"flex",flexDirection:"column",border:"1px solid #e8e8e8",borderRadius:"8px",padding:"24px",overflow:"hidden",maxHeight:"800px",minWidth:0},children:[(0,t.jsxs)("div",{style:{marginBottom:"24px"},children:[(0,t.jsx)("h2",{style:{fontSize:"24px",fontWeight:"bold",margin:"0 0 4px 0"},children:"Transformed Request"}),(0,t.jsx)("p",{style:{color:"#666",margin:0},children:"How LiteLLM transforms your request for the specified provider."}),(0,t.jsx)("br",{}),(0,t.jsx)("p",{style:{color:"#666",margin:0},className:"text-xs",children:"Note: Sensitive headers are not shown."})]}),(0,t.jsxs)("div",{style:{position:"relative",backgroundColor:"#f5f5f5",borderRadius:"6px",flex:"1 1 auto",display:"flex",flexDirection:"column",overflow:"hidden"},children:[(0,t.jsx)("pre",{style:{padding:"16px",fontFamily:"monospace",fontSize:"14px",margin:0,overflow:"auto",flex:"1 1 auto"},children:c||`curl -X POST \\
|
||||
}'`);u(l),i.default.success("Request transformed successfully")}else{let e="string"==typeof d?d:JSON.stringify(d);u(e),i.default.info("Transformed request received in unexpected format")}}catch(e){console.error("Error transforming request:",e),i.default.fromBackend("Failed to transform request")}finally{x(!1)}};return(0,t.jsxs)("div",{className:"w-full m-2",style:{overflow:"hidden"},children:[(0,t.jsx)(l.Title,{children:"Playground"}),(0,t.jsx)("p",{className:"text-sm text-gray-500",children:"See how LiteLLM transforms your request for the specified provider."}),(0,t.jsxs)("div",{style:{display:"flex",gap:"16px",width:"100%",minWidth:0,overflow:"hidden"},className:"mt-4",children:[(0,t.jsxs)("div",{style:{flex:"1 1 50%",display:"flex",flexDirection:"column",border:"1px solid #e8e8e8",borderRadius:"8px",padding:"24px",overflow:"hidden",maxHeight:"600px",minWidth:0},children:[(0,t.jsxs)("div",{style:{marginBottom:"24px"},children:[(0,t.jsx)("h2",{style:{fontSize:"24px",fontWeight:"bold",margin:"0 0 4px 0"},children:"Original Request"}),(0,t.jsx)("p",{style:{color:"#666",margin:0},children:"The request you would send to LiteLLM /chat/completions endpoint."})]}),(0,t.jsx)("textarea",{style:{flex:"1 1 auto",width:"100%",minHeight:"240px",padding:"16px",border:"1px solid #e8e8e8",borderRadius:"6px",fontFamily:"monospace",fontSize:"14px",resize:"none",marginBottom:"24px",overflow:"auto"},value:n,onChange:e=>d(e.target.value),onKeyDown:e=>{(e.metaKey||e.ctrlKey)&&"Enter"===e.key&&(e.preventDefault(),m())},placeholder:"Press Cmd/Ctrl + Enter to transform"}),(0,t.jsx)("div",{style:{display:"flex",justifyContent:"flex-end",marginTop:"auto"},children:(0,t.jsxs)(o.Button,{type:"primary",style:{backgroundColor:"#000",display:"flex",alignItems:"center",gap:"8px"},onClick:m,loading:p,children:[(0,t.jsx)("span",{children:"Transform"}),(0,t.jsx)("span",{children:"→"})]})})]}),(0,t.jsxs)("div",{style:{flex:"1 1 50%",display:"flex",flexDirection:"column",border:"1px solid #e8e8e8",borderRadius:"8px",padding:"24px",overflow:"hidden",maxHeight:"800px",minWidth:0},children:[(0,t.jsxs)("div",{style:{marginBottom:"24px"},children:[(0,t.jsx)("h2",{style:{fontSize:"24px",fontWeight:"bold",margin:"0 0 4px 0"},children:"Transformed Request"}),(0,t.jsx)("p",{style:{color:"#666",margin:0},children:"How LiteLLM transforms your request for the specified provider."}),(0,t.jsx)("br",{}),(0,t.jsx)("p",{style:{color:"#666",margin:0},className:"text-xs",children:"Note: Sensitive headers are not shown."})]}),(0,t.jsxs)("div",{style:{position:"relative",backgroundColor:"#f5f5f5",borderRadius:"6px",flex:"1 1 auto",display:"flex",flexDirection:"column",overflow:"hidden"},children:[(0,t.jsx)("pre",{style:{padding:"16px",fontFamily:"monospace",fontSize:"14px",margin:0,overflow:"auto",flex:"1 1 auto"},children:c||`curl -X POST \\
|
||||
https://api.openai.com/v1/chat/completions \\
|
||||
-H 'Authorization: Bearer sk-xxx' \\
|
||||
-H 'Content-Type: application/json' \\
|
||||
|
|
@ -32,4 +32,4 @@ ${e}
|
|||
}
|
||||
],
|
||||
"temperature": 0.7
|
||||
}'`}),(0,t.jsx)(s.Button,{type:"text",icon:(0,t.jsx)(o.CopyOutlined,{}),style:{position:"absolute",right:"8px",top:"8px"},size:"small",onClick:()=>{navigator.clipboard.writeText(c||""),a.default.success("Copied to clipboard")}})]})]})]}),(0,t.jsx)("div",{className:"mt-4 text-right w-full",children:(0,t.jsxs)("p",{className:"text-sm text-gray-500",children:["Found an error? File an issue"," ",(0,t.jsx)("a",{href:"https://github.com/BerriAI/litellm/issues",target:"_blank",rel:"noopener noreferrer",children:"here"}),"."]})})]})};var d=e.i(135214);e.s(["default",0,function(){let{accessToken:e}=(0,d.default)();return(0,t.jsx)(n,{accessToken:e})}],411929)}]);
|
||||
}'`}),(0,t.jsx)(o.Button,{type:"text",icon:(0,t.jsx)(s.CopyOutlined,{}),style:{position:"absolute",right:"8px",top:"8px"},size:"small",onClick:()=>{navigator.clipboard.writeText(c||""),i.default.success("Copied to clipboard")}})]})]})]}),(0,t.jsx)("div",{className:"mt-4 text-right w-full",children:(0,t.jsxs)("p",{className:"text-sm text-gray-500",children:["Found an error? File an issue"," ",(0,t.jsx)("a",{href:"https://github.com/BerriAI/litellm/issues",target:"_blank",rel:"noopener noreferrer",children:"here"}),"."]})})]})};var d=e.i(135214);e.s(["default",0,function(){let{accessToken:e}=(0,d.default)();return(0,t.jsx)(n,{accessToken:e})}],411929)}]);
|
||||
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Add table
Reference in a new issue