feat: add beta tag
This commit is contained in:
amhsirak
@@ -267,13 +267,14 @@ const RobotCreate: React.FC = () => {
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<CardContent sx={{ textAlign: 'center', py: 3 }}>
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<PlayCircleOutline sx={{ fontSize: 32, mb: 1 }} />
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<Typography variant="h6" gutterBottom>
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Record yourself
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Manual Mode
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</Typography>
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<Typography variant="body2" color="text.secondary">
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You control the browser
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Capture actions step-by-step
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</Typography>
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</CardContent>
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</Card>
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<Card
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onClick={() => setGenerationMode('agent')}
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sx={{
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@@ -284,271 +285,289 @@ const RobotCreate: React.FC = () => {
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transition: 'all 0.2s',
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'&:hover': {
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borderColor: '#ff00c3',
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}
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},
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position: 'relative'
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}}
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>
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{/* Beta Tag */}
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<Box
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sx={{
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position: 'absolute',
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top: 8,
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right: 8,
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background: '#ff00c3',
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color: '#fff',
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px: 1,
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py: 0.3,
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borderRadius: '6px',
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fontSize: '0.7rem',
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fontWeight: 600
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}}
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>
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Beta
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</Box>
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<CardContent sx={{ textAlign: 'center', py: 3 }}>
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<SmartToy sx={{ fontSize: 32, mb: 1 }} />
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<Typography variant="h6" gutterBottom>
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AI Powered
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AI Mode
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</Typography>
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<Typography variant="body2" color="text.secondary">
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AI will take care of everything
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Describe the task. It builds it for you.
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</Typography>
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</CardContent>
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</Card>
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</Box>
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</Box>
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{generationMode === 'agent' && (
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<Box sx={{ width: '100%', maxWidth: 700 }}>
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<Box sx={{ mb: 3 }}>
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<TextField
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placeholder="Robot Name"
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variant="outlined"
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fullWidth
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value={extractRobotName}
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onChange={(e) => setExtractRobotName(e.target.value)}
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label="Robot Name"
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/>
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</Box>
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<Box sx={{ mb: 3 }}>
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<TextField
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placeholder="Example: Extract first 15 company names, descriptions, and batch information"
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variant="outlined"
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fullWidth
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multiline
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rows={3}
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value={aiPrompt}
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onChange={(e) => setAiPrompt(e.target.value)}
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label="Extraction Prompt"
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/>
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</Box>
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<Box sx={{ display: 'flex', gap: 2, mb: 3 }}>
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<FormControl sx={{ flex: 1 }}>
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<InputLabel>LLM Provider</InputLabel>
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<Select
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value={llmProvider}
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label="LLM Provider"
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onChange={(e) => {
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const provider = e.target.value as 'anthropic' | 'openai' | 'ollama';
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setLlmProvider(provider);
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setLlmModel('');
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if (provider === 'ollama') {
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setLlmBaseUrl('http://localhost:11434');
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} else {
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setLlmBaseUrl('');
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}
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}}
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>
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<MenuItem value="ollama">Ollama (Local)</MenuItem>
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<MenuItem value="anthropic">Anthropic (Claude)</MenuItem>
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<MenuItem value="openai">OpenAI (GPT-4)</MenuItem>
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</Select>
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</FormControl>
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<FormControl sx={{ flex: 1 }}>
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<InputLabel>Model</InputLabel>
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<Select
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value={llmModel}
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label="Model"
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onChange={(e) => setLlmModel(e.target.value)}
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>
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{llmProvider === 'ollama' && (
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<>
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<MenuItem value="">Default (llama3.2-vision)</MenuItem>
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<MenuItem value="llama3.2-vision">llama3.2-vision</MenuItem>
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<MenuItem value="llama3.2">llama3.2</MenuItem>
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</>
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)}
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{llmProvider === 'anthropic' && (
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<>
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<MenuItem value="">Default (claude-3-5-sonnet)</MenuItem>
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<MenuItem value="claude-3-5-sonnet-20241022">claude-3-5-sonnet-20241022</MenuItem>
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<MenuItem value="claude-3-opus-20240229">claude-3-opus-20240229</MenuItem>
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</>
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)}
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{llmProvider === 'openai' && (
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<>
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<MenuItem value="">Default (gpt-4-vision-preview)</MenuItem>
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<MenuItem value="gpt-4-vision-preview">gpt-4-vision-preview</MenuItem>
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<MenuItem value="gpt-4o">gpt-4o</MenuItem>
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</>
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)}
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</Select>
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</FormControl>
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</Box>
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{/* API Key for non-Ollama providers */}
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{llmProvider !== 'ollama' && (
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{generationMode === 'agent' && (
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<Box sx={{ width: '100%', maxWidth: 700 }}>
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<Box sx={{ mb: 3 }}>
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<TextField
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placeholder={`${llmProvider === 'anthropic' ? 'Anthropic' : 'OpenAI'} API Key`}
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placeholder="Robot Name"
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variant="outlined"
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fullWidth
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type="password"
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value={llmApiKey}
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onChange={(e) => setLlmApiKey(e.target.value)}
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label="API Key (Optional if set in .env)"
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value={extractRobotName}
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onChange={(e) => setExtractRobotName(e.target.value)}
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label="Robot Name"
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/>
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</Box>
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)}
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{llmProvider === 'ollama' && (
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<Box sx={{ mb: 3 }}>
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<TextField
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placeholder="http://localhost:11434"
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placeholder="Example: Extract first 15 company names, descriptions, and batch information"
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variant="outlined"
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fullWidth
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value={llmBaseUrl}
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onChange={(e) => setLlmBaseUrl(e.target.value)}
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label="Ollama Base URL (Optional)"
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multiline
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rows={3}
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value={aiPrompt}
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onChange={(e) => setAiPrompt(e.target.value)}
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label="Extraction Prompt"
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/>
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</Box>
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)}
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<Button
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variant="contained"
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fullWidth
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onClick={async () => {
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if (!url.trim()) {
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notify('error', 'Please enter a valid URL');
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return;
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}
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if (!extractRobotName.trim()) {
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notify('error', 'Please enter a robot name');
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return;
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}
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if (!aiPrompt.trim()) {
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notify('error', 'Please enter an extraction prompt');
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return;
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}
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<Box sx={{ display: 'flex', gap: 2, mb: 3 }}>
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<FormControl sx={{ flex: 1 }}>
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<InputLabel>LLM Provider</InputLabel>
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<Select
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value={llmProvider}
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label="LLM Provider"
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onChange={(e) => {
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const provider = e.target.value as 'anthropic' | 'openai' | 'ollama';
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setLlmProvider(provider);
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setLlmModel('');
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if (provider === 'ollama') {
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setLlmBaseUrl('http://localhost:11434');
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} else {
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setLlmBaseUrl('');
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}
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}}
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>
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<MenuItem value="ollama">Ollama (Local)</MenuItem>
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<MenuItem value="anthropic">Anthropic (Claude)</MenuItem>
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<MenuItem value="openai">OpenAI (GPT-4)</MenuItem>
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</Select>
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</FormControl>
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const tempRobotId = `temp-${Date.now()}`;
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const robotDisplayName = extractRobotName;
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<FormControl sx={{ flex: 1 }}>
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<InputLabel>Model</InputLabel>
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<Select
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value={llmModel}
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label="Model"
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onChange={(e) => setLlmModel(e.target.value)}
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>
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{llmProvider === 'ollama' && (
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<>
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<MenuItem value="">Default (llama3.2-vision)</MenuItem>
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<MenuItem value="llama3.2-vision">llama3.2-vision</MenuItem>
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<MenuItem value="llama3.2">llama3.2</MenuItem>
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</>
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)}
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{llmProvider === 'anthropic' && (
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<>
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<MenuItem value="">Default (claude-3-5-sonnet)</MenuItem>
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<MenuItem value="claude-3-5-sonnet-20241022">claude-3-5-sonnet-20241022</MenuItem>
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<MenuItem value="claude-3-opus-20240229">claude-3-opus-20240229</MenuItem>
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</>
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)}
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{llmProvider === 'openai' && (
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<>
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<MenuItem value="">Default (gpt-4-vision-preview)</MenuItem>
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<MenuItem value="gpt-4-vision-preview">gpt-4-vision-preview</MenuItem>
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<MenuItem value="gpt-4o">gpt-4o</MenuItem>
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</>
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)}
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</Select>
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</FormControl>
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</Box>
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const optimisticRobot = {
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id: tempRobotId,
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recording_meta: {
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id: tempRobotId,
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name: robotDisplayName,
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createdAt: new Date().toISOString(),
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updatedAt: new Date().toISOString(),
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pairs: 0,
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params: [],
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type: 'extract',
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url: url,
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},
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recording: { workflow: [] },
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isLoading: true,
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isOptimistic: true
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};
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{/* API Key for non-Ollama providers */}
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{llmProvider !== 'ollama' && (
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<Box sx={{ mb: 3 }}>
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<TextField
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placeholder={`${llmProvider === 'anthropic' ? 'Anthropic' : 'OpenAI'} API Key`}
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variant="outlined"
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fullWidth
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type="password"
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value={llmApiKey}
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onChange={(e) => setLlmApiKey(e.target.value)}
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label="API Key (Optional if set in .env)"
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/>
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</Box>
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)}
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addOptimisticRobot(optimisticRobot);
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{llmProvider === 'ollama' && (
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<Box sx={{ mb: 3 }}>
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<TextField
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placeholder="http://localhost:11434"
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variant="outlined"
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fullWidth
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value={llmBaseUrl}
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onChange={(e) => setLlmBaseUrl(e.target.value)}
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label="Ollama Base URL (Optional)"
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/>
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</Box>
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)}
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notify('info', `Robot ${robotDisplayName} creation started`);
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navigate('/robots');
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try {
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const result = await createLLMRobot(
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url,
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aiPrompt,
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llmProvider,
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llmModel || undefined,
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llmApiKey || undefined,
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llmBaseUrl || undefined,
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extractRobotName
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);
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removeOptimisticRobot(tempRobotId);
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if (!result || !result.robot) {
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notify('error', 'Failed to create AI robot. Please check your LLM configuration.');
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invalidateRecordings();
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<Button
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variant="contained"
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fullWidth
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onClick={async () => {
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if (!url.trim()) {
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notify('error', 'Please enter a valid URL');
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return;
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}
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if (!extractRobotName.trim()) {
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notify('error', 'Please enter a robot name');
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return;
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}
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if (!aiPrompt.trim()) {
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notify('error', 'Please enter an extraction prompt');
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return;
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}
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const robotMetaId = result.robot.recording_meta.id;
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const robotName = result.robot.recording_meta.name;
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const tempRobotId = `temp-${Date.now()}`;
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const robotDisplayName = extractRobotName;
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invalidateRecordings();
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notify('success', `${robotName} created successfully!`);
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const optimisticRun = {
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id: robotMetaId,
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runId: `temp-${Date.now()}`,
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status: 'running',
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name: robotName,
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startedAt: new Date().toISOString(),
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finishedAt: '',
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robotMetaId: robotMetaId,
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log: 'Starting...',
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const optimisticRobot = {
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id: tempRobotId,
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recording_meta: {
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id: tempRobotId,
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name: robotDisplayName,
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createdAt: new Date().toISOString(),
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updatedAt: new Date().toISOString(),
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pairs: 0,
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params: [],
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type: 'extract',
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url: url,
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},
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recording: { workflow: [] },
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isLoading: true,
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isOptimistic: true
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};
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addOptimisticRun(optimisticRun);
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addOptimisticRobot(optimisticRobot);
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const runResponse = await createAndRunRecording(robotMetaId, {
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maxConcurrency: 1,
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maxRepeats: 1,
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debug: false
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});
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notify('info', `Robot ${robotDisplayName} creation started`);
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navigate('/robots');
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invalidateRuns();
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try {
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const result = await createLLMRobot(
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url,
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aiPrompt,
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llmProvider,
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llmModel || undefined,
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llmApiKey || undefined,
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llmBaseUrl || undefined,
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extractRobotName
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);
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if (runResponse && runResponse.runId) {
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await new Promise(resolve => setTimeout(resolve, 300));
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navigate(`/runs/${robotMetaId}/run/${runResponse.runId}`);
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notify('info', `Run started: ${robotName}`);
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} else {
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notify('warning', 'Robot created but failed to start execution.');
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navigate('/robots');
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removeOptimisticRobot(tempRobotId);
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if (!result || !result.robot) {
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notify('error', 'Failed to create AI robot. Please check your LLM configuration.');
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invalidateRecordings();
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return;
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}
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const robotMetaId = result.robot.recording_meta.id;
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const robotName = result.robot.recording_meta.name;
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invalidateRecordings();
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notify('success', `${robotName} created successfully!`);
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const optimisticRun = {
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id: robotMetaId,
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runId: `temp-${Date.now()}`,
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status: 'running',
|
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name: robotName,
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startedAt: new Date().toISOString(),
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finishedAt: '',
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robotMetaId: robotMetaId,
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log: 'Starting...',
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isOptimistic: true
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};
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addOptimisticRun(optimisticRun);
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const runResponse = await createAndRunRecording(robotMetaId, {
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maxConcurrency: 1,
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maxRepeats: 1,
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debug: false
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});
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invalidateRuns();
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if (runResponse && runResponse.runId) {
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await new Promise(resolve => setTimeout(resolve, 300));
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navigate(`/runs/${robotMetaId}/run/${runResponse.runId}`);
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notify('info', `Run started: ${robotName}`);
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} else {
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notify('warning', 'Robot created but failed to start execution.');
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navigate('/robots');
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}
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} catch (error: any) {
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console.error('Error in AI robot creation:', error);
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removeOptimisticRobot(tempRobotId);
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invalidateRecordings();
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notify('error', error?.message || 'Failed to create and run AI robot');
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}
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} catch (error: any) {
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console.error('Error in AI robot creation:', error);
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removeOptimisticRobot(tempRobotId);
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invalidateRecordings();
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||||
notify('error', error?.message || 'Failed to create and run AI robot');
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}
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}}
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disabled={!url.trim() || !extractRobotName.trim() || !aiPrompt.trim() || isLoading}
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||||
sx={{
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||||
bgcolor: '#ff00c3',
|
||||
py: 1.4,
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||||
fontSize: '1rem',
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||||
textTransform: 'none',
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||||
borderRadius: 2
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||||
}}
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||||
startIcon={isLoading ? <CircularProgress size={20} color="inherit" /> : null}
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||||
>
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||||
{isLoading ? 'Creating & Running...' : 'Create & Run Robot'}
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||||
</Button>
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||||
</Box>
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||||
)}
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||||
}}
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disabled={!url.trim() || !extractRobotName.trim() || !aiPrompt.trim() || isLoading}
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||||
sx={{
|
||||
bgcolor: '#ff00c3',
|
||||
py: 1.4,
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||||
fontSize: '1rem',
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||||
textTransform: 'none',
|
||||
borderRadius: 2
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||||
}}
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||||
startIcon={isLoading ? <CircularProgress size={20} color="inherit" /> : null}
|
||||
>
|
||||
{isLoading ? 'Creating & Running...' : 'Create & Run Robot'}
|
||||
</Button>
|
||||
</Box>
|
||||
)}
|
||||
|
||||
{generationMode === 'recorder' && (
|
||||
<Box sx={{ width: '100%', maxWidth: 700 }}>
|
||||
<Button
|
||||
variant="contained"
|
||||
fullWidth
|
||||
onClick={handleStartRecording}
|
||||
disabled={!url.trim() || isLoading}
|
||||
sx={{
|
||||
bgcolor: '#ff00c3',
|
||||
py: 1.4,
|
||||
fontSize: '1rem',
|
||||
textTransform: 'none',
|
||||
borderRadius: 2
|
||||
}}
|
||||
startIcon={isLoading ? <CircularProgress size={20} color="inherit" /> : null}
|
||||
>
|
||||
{isLoading ? 'Starting...' : 'Start Recording'}
|
||||
</Button>
|
||||
</Box>
|
||||
)}
|
||||
</Box>
|
||||
{generationMode === 'recorder' && (
|
||||
<Box sx={{ width: '100%', maxWidth: 700 }}>
|
||||
<Button
|
||||
variant="contained"
|
||||
fullWidth
|
||||
onClick={handleStartRecording}
|
||||
disabled={!url.trim() || isLoading}
|
||||
sx={{
|
||||
bgcolor: '#ff00c3',
|
||||
py: 1.4,
|
||||
fontSize: '1rem',
|
||||
textTransform: 'none',
|
||||
borderRadius: 2
|
||||
}}
|
||||
startIcon={isLoading ? <CircularProgress size={20} color="inherit" /> : null}
|
||||
>
|
||||
{isLoading ? 'Starting...' : 'Start Recording'}
|
||||
</Button>
|
||||
</Box>
|
||||
)}
|
||||
</Box>
|
||||
</Card>
|
||||
</TabPanel>
|
||||
|
||||
|
||||
Reference in New Issue
Block a user