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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 | 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x 1x | import { EmptyRequest } from "@shared/proto/cline/common"
import { Mode } from "@shared/storage/types"
import { useCallback, useMemo, useState } from "react"
import { useMount } from "react-use"
import { useExtensionState } from "@/context/ExtensionStateContext"
import { ModelsServiceClient } from "@/services/grpc-client"
import { DebouncedTextField } from "../common/DebouncedTextField"
import { ModelInfoView } from "../common/ModelInfoView"
import { ModelSelector } from "../common/ModelSelector"
import { normalizeApiConfiguration } from "../utils/providerUtils"
import { useApiConfigurationHandlers } from "../utils/useApiConfigurationHandlers"
/**
* Props for the VercelAIGatewayProvider component
*/
interface VercelAIGatewayProviderProps {
showModelOptions: boolean
isPopup?: boolean
currentMode: Mode
}
/**
* The Vercel AI Gateway provider configuration component
*/
export const VercelAIGatewayProvider = ({ showModelOptions, isPopup, currentMode }: VercelAIGatewayProviderProps) => {
const { apiConfiguration, vercelAiGatewayModels, setVercelAiGatewayModels } = useExtensionState()
const { handleFieldChange, handleModeFieldsChange } = useApiConfigurationHandlers()
const [isLoadingModels, setIsLoadingModels] = useState(false)
// Get the normalized configuration (includes defaults)
const { selectedModelId, selectedModelInfo } = normalizeApiConfiguration(apiConfiguration, currentMode)
// Fetch models only once when component mounts
useMount(() => {
if (showModelOptions) {
setIsLoadingModels(true)
ModelsServiceClient.refreshVercelAiGatewayModels(EmptyRequest.create({}))
.then((response) => {
if (response && response.models) {
setVercelAiGatewayModels(response.models)
}
setIsLoadingModels(false)
})
.catch((error) => {
console.error("Failed to fetch Vercel AI Gateway models:", error)
setVercelAiGatewayModels({})
setIsLoadingModels(false)
})
}
})
const handleModelChange = useCallback(
(modelId: string) => {
handleModeFieldsChange(
{
vercelAiGatewayModelId: { plan: "planModeVercelAiGatewayModelId", act: "actModeVercelAiGatewayModelId" },
vercelAiGatewayModelInfo: {
plan: "planModeVercelAiGatewayModelInfo",
act: "actModeVercelAiGatewayModelInfo",
},
},
{
vercelAiGatewayModelId: modelId,
vercelAiGatewayModelInfo: vercelAiGatewayModels[modelId],
},
currentMode,
)
},
[vercelAiGatewayModels, handleModeFieldsChange, currentMode],
)
const hasModels = useMemo(() => {
return Object.keys(vercelAiGatewayModels).length > 0
}, [vercelAiGatewayModels])
const displayModelInfo = useMemo(() => {
if (hasModels && selectedModelId && vercelAiGatewayModels[selectedModelId]) {
return vercelAiGatewayModels[selectedModelId]
}
return selectedModelInfo
}, [hasModels, selectedModelId, vercelAiGatewayModels, selectedModelInfo])
return (
<div>
<div>
<DebouncedTextField
initialValue={apiConfiguration?.vercelAiGatewayApiKey || ""}
onChange={(value) => handleFieldChange("vercelAiGatewayApiKey", value)}
placeholder="Enter API Key..."
style={{ width: "100%" }}
type="password">
<span style={{ fontWeight: 500 }}>Vercel AI Gateway API Key</span>
</DebouncedTextField>
<p
style={{
fontSize: "12px",
marginTop: 3,
color: "var(--vscode-descriptionForeground)",
}}>
This key is stored locally and only used to make API requests from this extension.
{!apiConfiguration?.vercelAiGatewayApiKey && (
<span>
{" "}
<a
href="https://vercel.com/d?to=%2F%5Bteam%5D%2F%7E%2Fai"
style={{
color: "var(--vscode-textLink-foreground)",
textDecoration: "none",
}}>
You can get a Vercel AI Gateway API key by signing up here.
</a>
</span>
)}
</p>
</div>
{showModelOptions && (
<>
{hasModels ? (
<ModelSelector
label="Model"
models={vercelAiGatewayModels}
onChange={(e) => handleModelChange(e.target.value)}
selectedModelId={selectedModelId || ""}
/>
) : (
<>
<DebouncedTextField
initialValue={selectedModelId || ""}
onChange={(value) =>
handleModeFieldsChange(
{
vercelAiGatewayModelId: {
plan: "planModeVercelAiGatewayModelId",
act: "actModeVercelAiGatewayModelId",
},
vercelAiGatewayModelInfo: {
plan: "planModeVercelAiGatewayModelInfo",
act: "actModeVercelAiGatewayModelInfo",
},
},
{
vercelAiGatewayModelId: value,
vercelAiGatewayModelInfo: undefined,
},
currentMode,
)
}
placeholder={"Enter Model ID (e.g., openai/gpt-4o)..."}
style={{ width: "100%", marginBottom: 10 }}>
<span style={{ fontWeight: 500 }}>Model ID</span>
</DebouncedTextField>
{!isLoadingModels && (
<p
style={{
fontSize: "12px",
marginTop: "-5px",
marginBottom: "10px",
color: "var(--vscode-descriptionForeground)",
fontStyle: "italic",
}}>
Unable to fetch models from Vercel AI Gateway.
</p>
)}
</>
)}
{displayModelInfo && (
<ModelInfoView isPopup={isPopup} modelInfo={displayModelInfo} selectedModelId={selectedModelId} />
)}
</>
)}
</div>
)
}
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