Support for listing models from OpenAI-compatible providers (#1197)

* feat: Support for listing models from OpenAI-compatible providers

* PR-related change:  remove includeStreamOptions

* prettier

* remove unnecessary code

* german + translation tweak
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brownrw8 2025-01-24 13:22:04 -10:00 committed by GitHub
parent bda1a0d4d6
commit 54ef05f61b
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7 changed files with 440 additions and 70 deletions

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@ -580,6 +580,14 @@ export class ClineProvider implements vscode.WebviewViewProvider {
case "refreshOpenRouterModels":
await this.refreshOpenRouterModels()
break
case "refreshOpenAiModels":
const { apiConfiguration } = await this.getState()
const openAiModels = await this.getOpenAiModels(
apiConfiguration.openAiBaseUrl,
apiConfiguration.openAiApiKey,
)
this.postMessageToWebview({ type: "openAiModels", openAiModels })
break
case "openImage":
openImage(message.text!)
break
@ -839,6 +847,32 @@ export class ClineProvider implements vscode.WebviewViewProvider {
}
}
// OpenAi
async getOpenAiModels(baseUrl?: string, apiKey?: string) {
try {
if (!baseUrl) {
return []
}
if (!URL.canParse(baseUrl)) {
return []
}
const config: Record<string, any> = {}
if (apiKey) {
config["headers"] = { Authorization: `Bearer ${apiKey}` }
}
const response = await axios.get(`${baseUrl}/models`, config)
const modelsArray = response.data?.data?.map((model: any) => model.id) || []
const models = [...new Set<string>(modelsArray)]
return models
} catch (error) {
return []
}
}
// OpenRouter
async handleOpenRouterCallback(code: string) {

View file

@ -20,6 +20,7 @@ export interface ExtensionMessage {
| "invoke"
| "partialMessage"
| "openRouterModels"
| "openAiModels"
| "mcpServers"
| "relinquishControl"
| "vsCodeLmModels"
@ -42,6 +43,7 @@ export interface ExtensionMessage {
filePaths?: string[]
partialMessage?: ClineMessage
openRouterModels?: Record<string, ModelInfo>
openAiModels?: string[]
mcpServers?: McpServer[]
}

View file

@ -25,6 +25,7 @@ export interface WebviewMessage {
| "openMention"
| "cancelTask"
| "refreshOpenRouterModels"
| "refreshOpenAiModels"
| "openMcpSettings"
| "restartMcpServer"
| "autoApprovalSettings"

View file

@ -38,9 +38,10 @@ import { ExtensionMessage } from "../../../../src/shared/ExtensionMessage"
import { useExtensionState } from "../../context/ExtensionStateContext"
import { vscode } from "../../utils/vscode"
import VSCodeButtonLink from "../common/VSCodeButtonLink"
import OpenRouterModelPicker, { ModelDescriptionMarkdown } from "./OpenRouterModelPicker"
import styled from "styled-components"
import * as vscodemodels from "vscode"
import OpenRouterModelPicker, { ModelDescriptionMarkdown, OPENROUTER_MODEL_PICKER_Z_INDEX } from "./OpenRouterModelPicker"
import OpenAiModelPicker from "./OpenAiModelPicker"
interface ApiOptionsProps {
showModelOptions: boolean
@ -84,10 +85,7 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage, modelIdErrorMessage, is
const [isDescriptionExpanded, setIsDescriptionExpanded] = useState(false)
const handleInputChange = (field: keyof ApiConfiguration) => (event: any) => {
setApiConfiguration({
...apiConfiguration,
[field]: event.target.value,
})
setApiConfiguration({ ...apiConfiguration, [field]: event.target.value })
}
const { selectedProvider, selectedModelId, selectedModelInfo } = useMemo(() => {
@ -97,10 +95,7 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage, modelIdErrorMessage, is
// Poll ollama/lmstudio models
const requestLocalModels = useCallback(() => {
if (selectedProvider === "ollama") {
vscode.postMessage({
type: "requestOllamaModels",
text: apiConfiguration?.ollamaBaseUrl,
})
vscode.postMessage({ type: "requestOllamaModels", text: apiConfiguration?.ollamaBaseUrl })
} else if (selectedProvider === "lmstudio") {
vscode.postMessage({
type: "requestLmStudioModels",
@ -174,10 +169,7 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage, modelIdErrorMessage, is
id="api-provider"
value={selectedProvider}
onChange={handleInputChange("apiProvider")}
style={{
minWidth: 130,
position: "relative",
}}>
style={{ minWidth: 130, position: "relative", zIndex: OPENROUTER_MODEL_PICKER_Z_INDEX + 1 }}>
<VSCodeOption value="openrouter">OpenRouter</VSCodeOption>
<VSCodeOption value="anthropic">Anthropic</VSCodeOption>
<VSCodeOption value="gemini">Google Gemini</VSCodeOption>
@ -210,10 +202,7 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage, modelIdErrorMessage, is
const isChecked = e.target.checked === true
setAnthropicBaseUrlSelected(isChecked)
if (!isChecked) {
setApiConfiguration({
...apiConfiguration,
anthropicBaseUrl: "",
})
setApiConfiguration({ ...apiConfiguration, anthropicBaseUrl: "" })
}
}}>
{t("useCustomBaseUrl")}
@ -373,12 +362,7 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage, modelIdErrorMessage, is
)}
{selectedProvider === "bedrock" && (
<div
style={{
display: "flex",
flexDirection: "column",
gap: 5,
}}>
<div style={{ display: "flex", flexDirection: "column", gap: 5 }}>
<VSCodeTextField
value={apiConfiguration?.awsAccessKey || ""}
style={{ width: "100%" }}
@ -444,10 +428,7 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage, modelIdErrorMessage, is
checked={apiConfiguration?.awsUseCrossRegionInference || false}
onChange={(e: any) => {
const isChecked = e.target.checked === true
setApiConfiguration({
...apiConfiguration,
awsUseCrossRegionInference: isChecked,
})
setApiConfiguration({ ...apiConfiguration, awsUseCrossRegionInference: isChecked })
}}>
{t("useCrossRegionInference")}
</VSCodeCheckbox>
@ -463,12 +444,7 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage, modelIdErrorMessage, is
)}
{apiConfiguration?.apiProvider === "vertex" && (
<div
style={{
display: "flex",
flexDirection: "column",
gap: 5,
}}>
<div style={{ display: "flex", flexDirection: "column", gap: 5 }}>
<VSCodeTextField
value={apiConfiguration?.vertexProjectId || ""}
style={{ width: "100%" }}
@ -558,26 +534,18 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage, modelIdErrorMessage, is
placeholder={t("enterApiKey")}>
<span style={{ fontWeight: 500 }}>{t("apiKey")}</span>
</VSCodeTextField>
<VSCodeTextField
value={apiConfiguration?.openAiModelId || ""}
style={{ width: "100%" }}
onInput={handleInputChange("openAiModelId")}
placeholder={t("enterModelId")}>
<span style={{ fontWeight: 500 }}>{t("modelId")}</span>
</VSCodeTextField>
<span style={{ fontWeight: 500 }}>{t("model")}</span>
<OpenAiModelPicker />
<VSCodeCheckbox
checked={azureApiVersionSelected}
onChange={(e: any) => {
const isChecked = e.target.checked === true
setAzureApiVersionSelected(isChecked)
if (!isChecked) {
setApiConfiguration({
...apiConfiguration,
azureApiVersion: "",
})
setApiConfiguration({ ...apiConfiguration, azureApiVersion: "" })
}
}}>
{t("useAzureApiVersion")}
{t("setAzureApiVersion")}
</VSCodeCheckbox>
{azureApiVersionSelected && (
<VSCodeTextField
@ -935,12 +903,7 @@ export const ModelInfoView = ({
].filter(Boolean)
return (
<p
style={{
fontSize: "12px",
marginTop: "2px",
color: "var(--vscode-descriptionForeground)",
}}>
<p style={{ fontSize: "12px", marginTop: "2px", color: "var(--vscode-descriptionForeground)" }}>
{infoItems.map((item, index) => (
<Fragment key={index}>
{item}
@ -997,11 +960,7 @@ export function normalizeApiConfiguration(apiConfiguration?: ApiConfiguration):
selectedModelId = defaultId
selectedModelInfo = models[defaultId]
}
return {
selectedProvider: provider,
selectedModelId,
selectedModelInfo,
}
return { selectedProvider: provider, selectedModelId, selectedModelInfo }
}
switch (provider) {
case "anthropic":

View file

@ -0,0 +1,360 @@
import { VSCodeLink, VSCodeTextField } from "@vscode/webview-ui-toolkit/react"
import Fuse from "fuse.js"
import React, { KeyboardEvent, memo, useEffect, useMemo, useRef, useState } from "react"
import { useRemark } from "react-remark"
import styled from "styled-components"
import { useExtensionState } from "../../context/ExtensionStateContext"
import { vscode } from "../../utils/vscode"
import { highlight } from "../history/HistoryView"
const OpenAiModelPicker: React.FC = () => {
const { apiConfiguration, setApiConfiguration, openAiModels } = useExtensionState()
const [searchTerm, setSearchTerm] = useState(apiConfiguration?.openAiModelId || "")
const [isDropdownVisible, setIsDropdownVisible] = useState(false)
const [selectedIndex, setSelectedIndex] = useState(-1)
const dropdownRef = useRef<HTMLDivElement>(null)
const itemRefs = useRef<(HTMLDivElement | null)[]>([])
const dropdownListRef = useRef<HTMLDivElement>(null)
const handleModelChange = (newModelId: string) => {
// could be setting invalid model id/undefined info but validation will catch it
setApiConfiguration({
...apiConfiguration,
openAiModelId: newModelId,
})
setSearchTerm(newModelId)
}
useEffect(() => {
vscode.postMessage({ type: "refreshOpenAiModels" })
}, [apiConfiguration?.openAiBaseUrl, apiConfiguration?.openAiApiKey])
useEffect(() => {
const handleClickOutside = (event: MouseEvent) => {
if (dropdownRef.current && !dropdownRef.current.contains(event.target as Node)) {
setIsDropdownVisible(false)
}
}
document.addEventListener("mousedown", handleClickOutside)
return () => {
document.removeEventListener("mousedown", handleClickOutside)
}
}, [])
const modelIds = useMemo(() => {
return openAiModels.sort((a, b) => a.localeCompare(b))
}, [openAiModels])
const searchableItems = useMemo(() => {
return modelIds.map((id) => ({
id,
html: id,
}))
}, [modelIds])
const fuse = useMemo(() => {
return new Fuse(searchableItems, {
keys: ["html"], // highlight function will update this
threshold: 0.6,
shouldSort: true,
isCaseSensitive: false,
ignoreLocation: false,
includeMatches: true,
minMatchCharLength: 1,
})
}, [searchableItems])
const modelSearchResults = useMemo(() => {
let results: { id: string; html: string }[] = searchTerm
? highlight(fuse.search(searchTerm), "model-item-highlight")
: searchableItems
// results.sort((a, b) => a.id.localeCompare(b.id)) NOTE: sorting like this causes ids in objects to be reordered and mismatched
return results
}, [searchableItems, searchTerm, fuse])
const handleKeyDown = (event: KeyboardEvent<HTMLInputElement>) => {
if (!isDropdownVisible) return
switch (event.key) {
case "ArrowDown":
event.preventDefault()
setSelectedIndex((prev) => (prev < modelSearchResults.length - 1 ? prev + 1 : prev))
break
case "ArrowUp":
event.preventDefault()
setSelectedIndex((prev) => (prev > 0 ? prev - 1 : prev))
break
case "Enter":
event.preventDefault()
if (selectedIndex >= 0 && selectedIndex < modelSearchResults.length) {
handleModelChange(modelSearchResults[selectedIndex].id)
setIsDropdownVisible(false)
}
break
case "Escape":
setIsDropdownVisible(false)
setSelectedIndex(-1)
break
}
}
useEffect(() => {
setSelectedIndex(-1)
if (dropdownListRef.current) {
dropdownListRef.current.scrollTop = 0
}
}, [searchTerm])
useEffect(() => {
if (selectedIndex >= 0 && itemRefs.current[selectedIndex]) {
itemRefs.current[selectedIndex]?.scrollIntoView({
block: "nearest",
behavior: "smooth",
})
}
}, [selectedIndex])
return (
<>
<style>
{`
.model-item-highlight {
background-color: var(--vscode-editor-findMatchHighlightBackground);
color: inherit;
}
`}
</style>
<div>
<DropdownWrapper ref={dropdownRef}>
<VSCodeTextField
id="model-search"
placeholder="Search and select a model..."
value={searchTerm}
onInput={(e) => {
handleModelChange((e.target as HTMLInputElement)?.value?.toLowerCase())
setIsDropdownVisible(true)
}}
onFocus={() => setIsDropdownVisible(true)}
onKeyDown={handleKeyDown}
style={{ width: "100%", zIndex: OPENAI_MODEL_PICKER_Z_INDEX, position: "relative" }}>
{searchTerm && (
<div
className="input-icon-button codicon codicon-close"
aria-label="Clear search"
onClick={() => {
handleModelChange("")
setIsDropdownVisible(true)
}}
slot="end"
style={{
display: "flex",
justifyContent: "center",
alignItems: "center",
height: "100%",
}}
/>
)}
</VSCodeTextField>
{isDropdownVisible && (
<DropdownList ref={dropdownListRef}>
{modelSearchResults.map((item, index) => (
<DropdownItem
key={item.id}
ref={(el) => (itemRefs.current[index] = el)}
isSelected={index === selectedIndex}
onMouseEnter={() => setSelectedIndex(index)}
onClick={() => {
handleModelChange(item.id)
setIsDropdownVisible(false)
}}
dangerouslySetInnerHTML={{
__html: item.html,
}}
/>
))}
</DropdownList>
)}
</DropdownWrapper>
</div>
</>
)
}
export default OpenAiModelPicker
// Dropdown
const DropdownWrapper = styled.div`
position: relative;
width: 100%;
`
export const OPENAI_MODEL_PICKER_Z_INDEX = 1_000
const DropdownList = styled.div`
position: absolute;
top: calc(100% - 3px);
left: 0;
width: calc(100% - 2px);
max-height: 200px;
overflow-y: auto;
background-color: var(--vscode-dropdown-background);
border: 1px solid var(--vscode-list-activeSelectionBackground);
z-index: ${OPENAI_MODEL_PICKER_Z_INDEX - 1};
border-bottom-left-radius: 3px;
border-bottom-right-radius: 3px;
`
const DropdownItem = styled.div<{ isSelected: boolean }>`
padding: 5px 10px;
cursor: pointer;
word-break: break-all;
white-space: normal;
background-color: ${({ isSelected }) => (isSelected ? "var(--vscode-list-activeSelectionBackground)" : "inherit")};
&:hover {
background-color: var(--vscode-list-activeSelectionBackground);
}
`
// Markdown
const StyledMarkdown = styled.div`
font-family:
var(--vscode-font-family),
system-ui,
-apple-system,
BlinkMacSystemFont,
"Segoe UI",
Roboto,
Oxygen,
Ubuntu,
Cantarell,
"Open Sans",
"Helvetica Neue",
sans-serif;
font-size: 12px;
color: var(--vscode-descriptionForeground);
p,
li,
ol,
ul {
line-height: 1.25;
margin: 0;
}
ol,
ul {
padding-left: 1.5em;
margin-left: 0;
}
p {
white-space: pre-wrap;
}
a {
text-decoration: none;
}
a {
&:hover {
text-decoration: underline;
}
}
`
export const ModelDescriptionMarkdown = memo(
({
markdown,
key,
isExpanded,
setIsExpanded,
}: {
markdown?: string
key: string
isExpanded: boolean
setIsExpanded: (isExpanded: boolean) => void
}) => {
const [reactContent, setMarkdown] = useRemark()
// const [isExpanded, setIsExpanded] = useState(false)
const [showSeeMore, setShowSeeMore] = useState(false)
const textContainerRef = useRef<HTMLDivElement>(null)
const textRef = useRef<HTMLDivElement>(null)
useEffect(() => {
setMarkdown(markdown || "")
}, [markdown, setMarkdown])
useEffect(() => {
if (textRef.current && textContainerRef.current) {
const { scrollHeight } = textRef.current
const { clientHeight } = textContainerRef.current
const isOverflowing = scrollHeight > clientHeight
setShowSeeMore(isOverflowing)
// if (!isOverflowing) {
// setIsExpanded(false)
// }
}
}, [reactContent, setIsExpanded])
return (
<StyledMarkdown key={key} style={{ display: "inline-block", marginBottom: 0 }}>
<div
ref={textContainerRef}
style={{
overflowY: isExpanded ? "auto" : "hidden",
position: "relative",
wordBreak: "break-word",
overflowWrap: "anywhere",
}}>
<div
ref={textRef}
style={{
display: "-webkit-box",
WebkitLineClamp: isExpanded ? "unset" : 3,
WebkitBoxOrient: "vertical",
overflow: "hidden",
// whiteSpace: "pre-wrap",
// wordBreak: "break-word",
// overflowWrap: "anywhere",
}}>
{reactContent}
</div>
{!isExpanded && showSeeMore && (
<div
style={{
position: "absolute",
right: 0,
bottom: 0,
display: "flex",
alignItems: "center",
}}>
<div
style={{
width: 30,
height: "1.2em",
background: "linear-gradient(to right, transparent, var(--vscode-sideBar-background))",
}}
/>
<VSCodeLink
style={{
// cursor: "pointer",
// color: "var(--vscode-textLink-foreground)",
fontSize: "inherit",
paddingRight: 0,
paddingLeft: 3,
backgroundColor: "var(--vscode-sideBar-background)",
}}
onClick={() => setIsExpanded(true)}>
See more
</VSCodeLink>
</div>
)}
</div>
</StyledMarkdown>
)
},
)

View file

@ -15,6 +15,7 @@ interface ExtensionStateContextType extends ExtensionState {
showWelcome: boolean
theme: any
openRouterModels: Record<string, ModelInfo>
openAiModels: string[]
mcpServers: McpServer[]
filePaths: string[]
setApiConfiguration: (config: ApiConfiguration) => void
@ -45,6 +46,8 @@ export const ExtensionStateContextProvider: React.FC<{
const [openRouterModels, setOpenRouterModels] = useState<Record<string, ModelInfo>>({
[openRouterDefaultModelId]: openRouterDefaultModelInfo,
})
const [openAiModels, setOpenAiModels] = useState<string[]>([])
const [mcpServers, setMcpServers] = useState<McpServer[]>([])
const handleMessage = useCallback((event: MessageEvent) => {
@ -105,6 +108,11 @@ export const ExtensionStateContextProvider: React.FC<{
})
break
}
case "openAiModels": {
const updatedModels = message.openAiModels ?? []
setOpenAiModels(updatedModels)
break
}
case "mcpServers": {
setMcpServers(message.mcpServers ?? [])
break
@ -124,6 +132,7 @@ export const ExtensionStateContextProvider: React.FC<{
showWelcome,
theme,
openRouterModels,
openAiModels,
mcpServers,
filePaths,
setApiConfiguration: (value) =>

View file

@ -24,27 +24,32 @@
"apiKey": "API-Schlüssel",
"enterBaseUrl": "Basis-URL eingeben...",
"baseUrl": "Basis-URL",
"optionalBaseUrl": "Basis-URL (optional)",
"enterModelId": "Modell-ID eingeben...",
"modelId": "Modell-ID",
"useCustomBaseUrl": "Benutzerdefinierte Basis-URL verwenden",
"apiKeyInfo": "Dieser Schlüssel wird lokal gespeichert und nur verwendet, um API-Anfragen von dieser Erweiterung zu stellen.",
"getApiKeyMessage": "Sie können einen {{vendor}}-API-Schlüssel erhalten, indem Sie sich hier anmelden.",
"getApiVendorKey": "{{vendor}}-API-Schlüssel",
"getDefault": "Standard: {{defaultValue}}",
"getApiKeyMessage": "Sie können einen {{vendor}} API-Schlüssel erhalten, indem Sie sich hier anmelden.",
"getApiVendorKey": "{{vendor}} API-Schlüssel",
"getCompatibleVendor": "{{vendor}} kompatibel",
"lmStudioInfo": "LM Studio ermöglicht es Ihnen, Modelle lokal auf Ihrem Computer auszuführen. Anweisungen zum Einstieg finden Sie in ihrem <Link href=\"https://lmstudio.ai/docs\">Schnellstart-Handbuch.</Link> Sie müssen auch die <Link href=\"https://lmstudio.ai/docs/basics/server\">lokale Server</Link>-Funktion von LM Studio starten, um sie mit dieser Erweiterung zu verwenden. <ErrSpan>(<b>Hinweis:</b> Cline verwendet komplexe Prompts und funktioniert am besten mit Claude-Modellen. Weniger leistungsfähige Modelle funktionieren möglicherweise nicht wie erwartet.)</ErrSpan>",
"ollamaInfo": "Ollama ermöglicht es Ihnen, Modelle lokal auf Ihrem Computer auszuführen. Anweisungen zum Einstieg finden Sie in ihrem <Link href=\"https://github.com/ollama/ollama/blob/main/README.md\">Schnellstart-Handbuch.</Link> <ErrorSpan>(<b>Hinweis:</b> Cline verwendet komplexe Prompts und funktioniert am besten mit Claude-Modellen. Weniger leistungsfähige Modelle funktionieren möglicherweise nicht wie erwartet.)</ErrorSpan>",
"azureInfo": "<ErrSpan>(<b>Hinweis:</b> Cline verwendet komplexe Prompts und funktioniert am besten mit Claude-Modellen. Weniger leistungsfähige Modelle funktionieren möglicherweise nicht wie erwartet.)</ErrSpan>",
"setAzureApiVersion": "Azure API-Version festlegen",
"enterGcpProjectId": "Projekt-ID eingeben...",
"gcpProjectId": "Google Cloud Projekt-ID",
"gcpLinks": "Um Google Cloud Vertex AI zu verwenden, müssen Sie <Link href=\"https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-claude#before_you_begin\"> 1) ein Google Cloud-Konto erstellen die Vertex AI API aktivieren die gewünschten Claude-Modelle aktivieren, </Link><br /> <Link href=\"https://cloud.google.com/docs/authentication/provide-credentials-adc#google-idp\"> 2) die Google Cloud CLI installieren Anwendungsstandardanmeldeinformationen konfigurieren. </Link>",
"enterAwsAccessKey": "Zugriffsschlüssel eingeben...",
"awsAccessKey": "AWS-Zugriffsschlüssel",
"enterAwsAccessKey": "Zugangsschlüssel eingeben...",
"awsAccessKey": "AWS Zugangsschlüssel",
"enterAwsSecretKey": "Geheimschlüssel eingeben...",
"awsSecretKey": "AWS-Geheimschlüssel",
"awsSecretKey": "AWS Geheimschlüssel",
"enterAwsSessionToken": "Sitzungstoken eingeben...",
"awsSessionToken": "AWS-Sitzungstoken",
"awsRegion": "AWS-Region",
"getRegion": "{{vendor}}-Region",
"awsSessionToken": "AWS Sitzungstoken",
"getRegion": "{{vendor}} Region",
"selectRegion": "Region auswählen...",
"useCrossRegionInference": "Regionsübergreifende Inferenz verwenden",
"awsInfo": "Authentifizieren Sie sich entweder durch Eingabe der oben genannten Schlüssel oder verwenden Sie die Standard-AWS-Anmeldeinformationen, d.h. ~/.aws/credentials oder Umgebungsvariablen. Diese Anmeldeinformationen werden nur lokal verwendet, um API-Anfragen von dieser Erweiterung zu stellen.",
"awsInfo": "Authentifizieren Sie sich entweder durch die Angabe der oben genannten Schlüssel oder verwenden Sie die Standard-AWS-Anmeldeinformationen, d.h. ~/.aws/credentials oder Umgebungsvariablen. Diese Anmeldeinformationen werden nur lokal verwendet, um API-Anfragen von dieser Erweiterung zu stellen.",
"vscodeLanguageModelsInfo": "Die VS Code Language Model API ermöglicht es Ihnen, Modelle zu verwenden, die von anderen VS Code-Erweiterungen bereitgestellt werden (einschließlich, aber nicht beschränkt auf GitHub Copilot). Der einfachste Weg, um loszulegen, ist die Installation der Copilot-Erweiterung aus dem VS Marketplace und die Aktivierung von Claude 3.5 Sonnet.",
"experimentalFeature": "Hinweis: Dies ist eine sehr experimentelle Integration und funktioniert möglicherweise nicht wie erwartet.",
"supportsImages": "Unterstützt Bilder",
@ -54,13 +59,13 @@
"supportsPromptCache": "Unterstützt Prompt-Caching",
"doesNotSupportPromptCache": "Unterstützt kein Prompt-Caching",
"maxOutput": "Maximale Ausgabe",
"tokens": "Token",
"tokens": "Tokens",
"inputPrice": "Eingabepreis",
"millionTokens": "Millionen Token",
"cacheWritesPrice": "Preis für Cache-Schreibvorgänge",
"cacheReadsPrice": "Preis für Cache-Lesevorgänge",
"millionTokens": "Millionen Tokens",
"cacheWritesPrice": "Cache-Schreibpreis",
"cacheReadsPrice": "Cache-Lesepreis",
"outputPrice": "Ausgabepreis",
"geminiInfo": "* Kostenlos bis zu {{selectedModelId}} Anfragen pro Minute. Danach hängt die Abrechnung von der Promptgröße ab.",
"geminiInfo": "* Kostenlos bis zu {{selectedModelId}} Anfragen pro Minute. Danach hängt die Abrechnung von der Prompt-Größe ab.",
"pricingDetails": "Weitere Informationen finden Sie in den Preisdaten.",
"languageModel": "Sprachmodell"
}