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docs: initial commit adding api playground to docs
makes it easy to see how litellm transforms your request
This commit is contained in:
parent
3f3afabda9
commit
5ca93a1950
7 changed files with 1803 additions and 19 deletions
9
docs/my-website/docs/playground/transform_request.mdx
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9
docs/my-website/docs/playground/transform_request.mdx
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@ -0,0 +1,9 @@
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---
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title: Transform Request Playground
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description: See how LiteLLM transforms your requests for different providers
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hide_table_of_contents: true
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---
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import TransformRequestPlayground from '@site/src/components/TransformRequestPlayground';
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<TransformRequestPlayground />
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1215
docs/my-website/package-lock.json
generated
1215
docs/my-website/package-lock.json
generated
File diff suppressed because it is too large
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@ -25,7 +25,10 @@
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"react": "^17.0.2",
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"react-dom": "^17.0.2",
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"sharp": "^0.32.6",
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"uuid": "^9.0.1"
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"uuid": "^9.0.1",
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"antd": "^4.24.0",
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"@ant-design/icons": "^4.8.0",
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"@tremor/react": "^2.0.0"
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},
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"devDependencies": {
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"@docusaurus/module-type-aliases": "2.4.1"
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@ -519,6 +519,13 @@ const sidebars = {
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],
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},
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"troubleshoot",
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{
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type: 'category',
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label: 'Playground',
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items: [
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'playground/transform_request',
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],
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},
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],
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};
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161
docs/my-website/src/components/TransformRequestPlayground.tsx
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161
docs/my-website/src/components/TransformRequestPlayground.tsx
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@ -0,0 +1,161 @@
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import React, { useState } from 'react';
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import styles from './transform_request.module.css';
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const DEFAULT_REQUEST = {
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"model": "bedrock/gpt-4",
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"messages": [
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{
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"role": "system",
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"content": "You are a helpful assistant."
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},
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{
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"role": "user",
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"content": "Explain quantum computing in simple terms"
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}
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],
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"temperature": 0.7,
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"max_tokens": 500,
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"stream": true
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};
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type ViewMode = 'split' | 'request' | 'transformed';
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const TransformRequestPlayground: React.FC = () => {
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const [request, setRequest] = useState(JSON.stringify(DEFAULT_REQUEST, null, 2));
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const [transformedRequest, setTransformedRequest] = useState('');
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const [viewMode, setViewMode] = useState<ViewMode>('split');
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const handleTransform = async () => {
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try {
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// Here you would make the actual API call to transform the request
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// For now, we'll just set a sample response
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const sampleResponse = `curl -X POST \\
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https://api.openai.com/v1/chat/completions \\
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-H 'Authorization: Bearer sk-xxx' \\
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-H 'Content-Type: application/json' \\
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-d '{
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"model": "gpt-4",
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"messages": [
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{
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"role": "system",
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"content": "You are a helpful assistant."
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}
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],
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"temperature": 0.7
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}'`;
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setTransformedRequest(sampleResponse);
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} catch (error) {
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console.error('Error transforming request:', error);
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}
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};
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const handleCopy = () => {
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navigator.clipboard.writeText(transformedRequest);
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};
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const renderContent = () => {
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switch (viewMode) {
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case 'request':
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return (
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<div className={styles.panel}>
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<div className={styles['panel-header']}>
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<h2>Original Request</h2>
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<p>The request you would send to LiteLLM /chat/completions endpoint.</p>
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</div>
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<textarea
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className={styles['code-input']}
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value={request}
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onChange={(e) => setRequest(e.target.value)}
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spellCheck={false}
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/>
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<div className={styles['panel-footer']}>
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<button className={styles['transform-button']} onClick={handleTransform}>
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Transform →
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</button>
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</div>
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</div>
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);
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case 'transformed':
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return (
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<div className={styles.panel}>
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<div className={styles['panel-header']}>
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<h2>Transformed Request</h2>
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<p>How LiteLLM transforms your request for the specified provider.</p>
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<p className={styles.note}>Note: Sensitive headers are not shown.</p>
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</div>
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<div className={styles['code-output-container']}>
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<pre className={styles['code-output']}>{transformedRequest}</pre>
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<button className={styles['copy-button']} onClick={handleCopy}>
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Copy
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</button>
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</div>
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</div>
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);
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default:
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return (
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<>
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<div className={styles.panel}>
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<div className={styles['panel-header']}>
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<h2>Original Request</h2>
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<p>The request you would send to LiteLLM /chat/completions endpoint.</p>
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</div>
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<textarea
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className={styles['code-input']}
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value={request}
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onChange={(e) => setRequest(e.target.value)}
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spellCheck={false}
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/>
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<div className={styles['panel-footer']}>
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<button className={styles['transform-button']} onClick={handleTransform}>
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Transform →
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</button>
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</div>
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</div>
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<div className={styles.panel}>
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<div className={styles['panel-header']}>
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<h2>Transformed Request</h2>
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<p>How LiteLLM transforms your request for the specified provider.</p>
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<p className={styles.note}>Note: Sensitive headers are not shown.</p>
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</div>
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<div className={styles['code-output-container']}>
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<pre className={styles['code-output']}>{transformedRequest}</pre>
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<button className={styles['copy-button']} onClick={handleCopy}>
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Copy
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</button>
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</div>
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</div>
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</>
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);
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}
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};
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return (
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<div className={styles['transform-playground']}>
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<div className={styles['view-toggle']}>
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<button
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className={viewMode === 'split' ? styles.active : ''}
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onClick={() => setViewMode('split')}
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>
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Split View
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</button>
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<button
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className={viewMode === 'request' ? styles.active : ''}
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onClick={() => setViewMode('request')}
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>
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Request
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</button>
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<button
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className={viewMode === 'transformed' ? styles.active : ''}
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onClick={() => setViewMode('transformed')}
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>
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Transformed
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</button>
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</div>
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<div className={styles['playground-container']}>
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{renderContent()}
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</div>
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</div>
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);
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};
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export default TransformRequestPlayground;
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215
docs/my-website/src/components/transform_request.module.css
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215
docs/my-website/src/components/transform_request.module.css
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.transform-playground {
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width: 100%;
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margin: 0;
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padding: 2rem;
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background: var(--ifm-background-color);
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min-height: calc(70vh - 42px);
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}
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.playground-container {
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display: flex;
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flex-direction: row;
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gap: 1.5rem;
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width: 100%;
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margin-top: 1rem;
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min-height: calc(70vh - 140px);
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}
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@media (min-width: 1024px) {
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.playground-container {
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flex-direction: row;
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}
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.panel {
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padding: 2rem;
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min-width: 45%;
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}
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}
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.panel {
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flex: 1;
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display: flex;
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flex-direction: column;
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background: var(--ifm-background-surface-color);
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border: 1px solid var(--ifm-color-emphasis-300);
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border-radius: 12px;
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padding: 1.5rem;
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min-height: calc(70vh - 140px);
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}
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.panel-header {
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margin-bottom: 1rem;
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}
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.panel-header h2 {
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font-size: 1.25rem;
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font-weight: 600;
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margin: 0 0 0.5rem 0;
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color: var(--ifm-heading-color);
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}
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.panel-header p {
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color: var(--ifm-color-emphasis-600);
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margin: 0;
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font-size: 0.875rem;
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line-height: 1.5;
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}
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.panel-header .note {
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font-size: 0.75rem;
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margin-top: 0.5rem;
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color: var(--ifm-color-emphasis-500);
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}
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.code-input {
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flex: 1;
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width: 100%;
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padding: 1rem;
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background: var(--ifm-background-color);
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border: 1px solid var(--ifm-color-emphasis-300);
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border-radius: 8px;
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font-family: var(--ifm-font-family-monospace);
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font-size: 0.875rem;
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color: var(--ifm-color-content);
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resize: none;
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margin-bottom: 1rem;
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min-height: calc(70vh - 245px);
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}
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.code-output-container {
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position: relative;
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background: var(--ifm-background-color);
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border: 1px solid var(--ifm-color-emphasis-300);
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border-radius: 8px;
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flex: 1;
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display: flex;
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flex-direction: column;
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overflow: hidden;
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min-height: calc(70vh - 245px);
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}
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.code-output {
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padding: 1rem;
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font-family: var(--ifm-font-family-monospace);
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font-size: 0.875rem;
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margin: 0;
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overflow: auto;
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flex: 1;
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color: var(--ifm-color-content);
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white-space: pre-wrap;
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word-break: break-word;
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line-height: 1.5;
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}
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.code-output .string { color: #a8ff60; }
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.code-output .number { color: #ff9d00; }
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.code-output .boolean { color: #ff628c; }
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.code-output .null { color: #ff628c; }
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.code-output .key { color: #5ccfe6; }
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.panel-footer {
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display: flex;
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justify-content: flex-end;
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margin-top: 1rem;
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}
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.transform-button {
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display: inline-flex !important;
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align-items: center !important;
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gap: 0.5rem !important;
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background: var(--ifm-color-primary) !important;
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border: none !important;
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color: white !important;
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padding: 0.5rem 1rem !important;
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border-radius: 6px !important;
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cursor: pointer !important;
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font-size: 0.875rem !important;
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font-weight: 500 !important;
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}
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.transform-button:hover {
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background: var(--ifm-color-primary-darker) !important;
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}
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.copy-button {
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position: absolute !important;
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right: 0.75rem !important;
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top: 0.75rem !important;
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color: var(--ifm-color-emphasis-600) !important;
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background: transparent !important;
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border: none !important;
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cursor: pointer !important;
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padding: 0.25rem !important;
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border-radius: 4px !important;
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display: flex !important;
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align-items: center !important;
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gap: 0.25rem !important;
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}
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.copy-button:hover {
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color: var(--ifm-color-primary) !important;
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background: var(--ifm-color-emphasis-200) !important;
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}
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/* View toggle styles */
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.view-toggle {
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display: flex;
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gap: 0.5rem;
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background: var(--ifm-color-emphasis-100);
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padding: 0.25rem;
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border-radius: 6px;
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margin-bottom: 1rem;
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}
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.view-toggle button {
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padding: 0.5rem 1rem;
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border-radius: 4px;
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border: none;
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background: transparent;
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color: var(--ifm-color-emphasis-700);
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font-size: 0.875rem;
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cursor: pointer;
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transition: all 0.2s ease;
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}
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.view-toggle button:hover {
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background: var(--ifm-color-emphasis-200);
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}
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.view-toggle button.active {
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background: var(--ifm-color-primary);
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color: white;
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}
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/* Responsive layout */
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@media (max-width: 768px) {
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.playground-container {
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flex-direction: column;
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}
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.panel {
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width: 100%;
|
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}
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}
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.footer {
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text-align: right;
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margin-top: 1.5rem;
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padding: 0 1rem;
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}
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.footer p {
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color: var(--ifm-color-emphasis-600);
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font-size: 1rem;
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margin: 0;
|
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}
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|
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.footer a {
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color: var(--ifm-color-primary);
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text-decoration: none;
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font-weight: 500;
|
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}
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|
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.footer a:hover {
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text-decoration: underline;
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}
|
210
docs/my-website/src/components/transform_request.tsx
Normal file
210
docs/my-website/src/components/transform_request.tsx
Normal file
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@ -0,0 +1,210 @@
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import React, { useState } from 'react';
|
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import { Button, message } from 'antd';
|
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import { CopyOutlined } from '@ant-design/icons';
|
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import styles from './transform_request.module.css';
|
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|
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interface TransformRequestPanelProps {
|
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accessToken: string | null;
|
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}
|
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|
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interface TransformResponse {
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raw_request_api_base: string;
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raw_request_body: Record<string, any>;
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raw_request_headers: Record<string, string>;
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}
|
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|
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const TransformRequestPanel: React.FC<TransformRequestPanelProps> = ({ accessToken }) => {
|
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const [originalRequestJSON, setOriginalRequestJSON] = useState(`{
|
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"model": "bedrock/gpt-4o",
|
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"messages": [
|
||||
{
|
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"role": "system",
|
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"content": "You are a helpful assistant."
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": "Explain quantum computing in simple terms"
|
||||
}
|
||||
],
|
||||
"temperature": 0.7,
|
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"max_tokens": 500,
|
||||
"stream": true
|
||||
}`);
|
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|
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const [transformedResponse, setTransformedResponse] = useState('');
|
||||
const [isLoading, setIsLoading] = useState(false);
|
||||
|
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// Function to format curl command from API response parts
|
||||
const formatCurlCommand = (apiBase: string, requestBody: Record<string, any>, requestHeaders: Record<string, string>) => {
|
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// Format the request body as nicely indented JSON with 2 spaces
|
||||
const formattedBody = JSON.stringify(requestBody, null, 2)
|
||||
// Add additional indentation for the entire body
|
||||
.split('\n')
|
||||
.map(line => ` ${line}`)
|
||||
.join('\n');
|
||||
|
||||
// Build headers string with consistent indentation
|
||||
const headerString = Object.entries(requestHeaders)
|
||||
.map(([key, value]) => `-H '${key}: ${value}'`)
|
||||
.join(' \\\n ');
|
||||
|
||||
// Build the curl command with consistent indentation
|
||||
return `curl -X POST \\
|
||||
${apiBase} \\
|
||||
${headerString ? `${headerString} \\\n ` : ''}-H 'Content-Type: application/json' \\
|
||||
-d '{
|
||||
${formattedBody}
|
||||
}'`;
|
||||
};
|
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|
||||
// Function to handle the transform request
|
||||
const handleTransform = async () => {
|
||||
setIsLoading(true);
|
||||
|
||||
try {
|
||||
// Parse the JSON from the textarea
|
||||
let requestBody;
|
||||
try {
|
||||
requestBody = JSON.parse(originalRequestJSON);
|
||||
} catch (e) {
|
||||
message.error('Invalid JSON in request body');
|
||||
setIsLoading(false);
|
||||
return;
|
||||
}
|
||||
|
||||
// Create the request payload
|
||||
const payload = {
|
||||
call_type: "completion",
|
||||
request_body: requestBody
|
||||
};
|
||||
|
||||
// Make the API call using fetch
|
||||
const response = await fetch('http://0.0.0.0:4000/utils/transform_request', {
|
||||
method: 'POST',
|
||||
headers: {
|
||||
'Authorization': `Bearer ${accessToken}`,
|
||||
'Content-Type': 'application/json'
|
||||
},
|
||||
body: JSON.stringify(payload)
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`HTTP error ${response.status}`);
|
||||
}
|
||||
|
||||
// Parse the response as JSON
|
||||
const data = await response.json();
|
||||
console.log("API response:", data);
|
||||
|
||||
// Check if the response has the expected fields
|
||||
if (data.raw_request_api_base && data.raw_request_body) {
|
||||
// Format the curl command with the separate parts
|
||||
const formattedCurl = formatCurlCommand(
|
||||
data.raw_request_api_base,
|
||||
data.raw_request_body,
|
||||
data.raw_request_headers || {}
|
||||
);
|
||||
|
||||
// Update state with the formatted curl command
|
||||
setTransformedResponse(formattedCurl);
|
||||
message.success('Request transformed successfully');
|
||||
} else {
|
||||
// Handle the case where the API returns a different format
|
||||
// Try to extract the parts from a string response if needed
|
||||
const rawText = typeof data === 'string' ? data : JSON.stringify(data);
|
||||
setTransformedResponse(rawText);
|
||||
message.info('Transformed request received in unexpected format');
|
||||
}
|
||||
} catch (err) {
|
||||
console.error('Error transforming request:', err);
|
||||
message.error('Failed to transform request');
|
||||
} finally {
|
||||
setIsLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
// Add this handler function near your other handlers
|
||||
const handleKeyDown = (e: React.KeyboardEvent<HTMLTextAreaElement>) => {
|
||||
if ((e.metaKey || e.ctrlKey) && e.key === 'Enter') {
|
||||
e.preventDefault(); // Prevent default behavior
|
||||
handleTransform();
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<div className={styles['transform-playground']}>
|
||||
<div className={styles['playground-container']}>
|
||||
{/* Original Request Panel */}
|
||||
<div className={styles.panel}>
|
||||
<div className={styles['panel-header']}>
|
||||
<h2>Original Request</h2>
|
||||
<p>The request you would send to LiteLLM /chat/completions endpoint.</p>
|
||||
</div>
|
||||
|
||||
<textarea
|
||||
className={styles['code-input']}
|
||||
value={originalRequestJSON}
|
||||
onChange={(e) => setOriginalRequestJSON(e.target.value)}
|
||||
onKeyDown={handleKeyDown}
|
||||
placeholder="Press Cmd/Ctrl + Enter to transform"
|
||||
/>
|
||||
|
||||
<div className={styles['panel-footer']}>
|
||||
<Button
|
||||
type="primary"
|
||||
onClick={handleTransform}
|
||||
loading={isLoading}
|
||||
className={styles['transform-button']}
|
||||
>
|
||||
<span>Transform</span>
|
||||
<span>→</span>
|
||||
</Button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Transformed Request Panel */}
|
||||
<div className={styles.panel}>
|
||||
<div className={styles['panel-header']}>
|
||||
<h2>Transformed Request</h2>
|
||||
<p>How LiteLLM transforms your request for the specified provider.</p>
|
||||
<p className={styles.note}>Note: Sensitive headers are not shown.</p>
|
||||
</div>
|
||||
|
||||
<div className={styles['code-output-container']}>
|
||||
<pre className={styles['code-output']}>
|
||||
{transformedResponse || `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
|
||||
}'`}
|
||||
</pre>
|
||||
|
||||
<Button
|
||||
type="text"
|
||||
icon={<CopyOutlined />}
|
||||
className={styles['copy-button']}
|
||||
onClick={() => {
|
||||
navigator.clipboard.writeText(transformedResponse || '');
|
||||
message.success('Copied to clipboard');
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div className={styles.footer}>
|
||||
<p>Found an error? File an issue <a href="https://github.com/BerriAI/litellm/issues" target="_blank" rel="noopener noreferrer">here</a>.</p>
|
||||
</div>
|
||||
</div>
|
||||
);
|
||||
};
|
||||
|
||||
export default TransformRequestPanel;
|
Loading…
Add table
Add a link
Reference in a new issue