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refactor: change unnecessary let to const (#2548)

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Co-authored-by: Saoud Rizwan <7799382+saoudrizwan@users.noreply.github.com>
This commit is contained in:
yusheng chen
2025-03-30 20:19:39 -07:00
committed by GitHub
co-authored by Saoud Rizwan
parent 6e5afda275
commit 494ffac404
14 changed files with 25 additions and 25 deletions
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src/api/providers/anthropic.ts
+1 -1
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@@ -23,7 +23,7 @@ export class AnthropicHandler implements ApiHandler {
let stream: AnthropicStream<Anthropic.RawMessageStreamEvent>
const modelId = model.id
let budget_tokens = this.options.thinkingBudgetTokens || 0
const budget_tokens = this.options.thinkingBudgetTokens || 0
const reasoningOn = modelId.includes("3-7") && budget_tokens !== 0 ? true : false
switch (modelId) {
src/api/providers/bedrock.ts
+3 -3
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@@ -25,7 +25,7 @@ export class AwsBedrockHandler implements ApiHandler {
@withRetry()
async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
// cross region inference requires prefixing the model id with the region
let modelId = await this.getModelId()
const modelId = await this.getModelId()
const model = this.getModel()
// Check if this is an Amazon Nova model
@@ -40,7 +40,7 @@ export class AwsBedrockHandler implements ApiHandler {
return
}
let budget_tokens = this.options.thinkingBudgetTokens || 0
const budget_tokens = this.options.thinkingBudgetTokens || 0
const reasoningOn = modelId.includes("3-7") && budget_tokens !== 0 ? true : false
// Get model info and message indices for caching
@@ -250,7 +250,7 @@ export class AwsBedrockHandler implements ApiHandler {
*/
async getModelId(): Promise<string> {
if (this.options.awsUseCrossRegionInference) {
let regionPrefix = this.getRegion().slice(0, 3)
const regionPrefix = this.getRegion().slice(0, 3)
switch (regionPrefix) {
case "us-":
return `us.${this.getModel().id}`
src/api/providers/requesty.ts
+1 -1
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@@ -26,7 +26,7 @@ export class RequestyHandler implements ApiHandler {
async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
const modelId = this.options.requestyModelId ?? ""
let openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
const openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
{ role: "system", content: systemPrompt },
...convertToOpenAiMessages(messages),
]
src/api/transform/ollama-format.ts
+1 -1
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@@ -28,7 +28,7 @@ export function convertToOllamaMessages(anthropicMessages: Anthropic.Messages.Me
)
// Process tool result messages FIRST since they must follow the tool use messages
let toolResultImages: string[] = []
const toolResultImages: string[] = []
toolMessages.forEach((toolMessage) => {
// The Anthropic SDK allows tool results to be a string or an array of text and image blocks, enabling rich and structured content. In contrast, the Ollama SDK only supports tool results as a single string, so we map the Anthropic tool result parts into one concatenated string to maintain compatibility.
let content: string
src/api/transform/openai-format.ts
+2 -2
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@@ -38,7 +38,7 @@ export function convertToOpenAiMessages(
)
// Process tool result messages FIRST since they must follow the tool use messages
let toolResultImages: Anthropic.Messages.ImageBlockParam[] = []
const toolResultImages: Anthropic.Messages.ImageBlockParam[] = []
toolMessages.forEach((toolMessage) => {
// The Anthropic SDK allows tool results to be a string or an array of text and image blocks, enabling rich and structured content. In contrast, the OpenAI SDK only supports tool results as a single string, so we map the Anthropic tool result parts into one concatenated string to maintain compatibility.
let content: string
@@ -127,7 +127,7 @@ export function convertToOpenAiMessages(
}
// Process tool use messages
let tool_calls: OpenAI.Chat.ChatCompletionMessageToolCall[] = toolMessages.map((toolMessage) => ({
const tool_calls: OpenAI.Chat.ChatCompletionMessageToolCall[] = toolMessages.map((toolMessage) => ({
id: toolMessage.id,
type: "function",
function: {
src/core/assistant-message/parse-assistant-message.ts
+1 -1
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@@ -1,7 +1,7 @@
import { AssistantMessageContent, TextContent, ToolUse, ToolParamName, toolParamNames, toolUseNames, ToolUseName } from "."
export function parseAssistantMessage(assistantMessage: string) {
let contentBlocks: AssistantMessageContent[] = []
const contentBlocks: AssistantMessageContent[] = []
let currentTextContent: TextContent | undefined = undefined
let currentTextContentStartIndex = 0
let currentToolUse: ToolUse | undefined = undefined
src/integrations/terminal/TerminalProcess.ts
+1 -1
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@@ -71,7 +71,7 @@ export class TerminalProcess extends EventEmitter<TerminalProcessEvents> {
// remove ansi
data = stripAnsi(data)
// Split data by newlines
let lines = data ? data.split("\n") : []
const lines = data ? data.split("\n") : []
// Remove non-human readable characters from the first line
if (lines.length > 0) {
lines[0] = lines[0].replace(/[^\x20-\x7E]/g, "")
src/services/browser/BrowserSession.ts
+1 -1
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@@ -212,7 +212,7 @@ export class BrowserSession {
interval: 100,
}).catch(() => {})
let options: ScreenshotOptions = {
const options: ScreenshotOptions = {
encoding: "base64",
// clip: {
src/services/glob/list-files.ts
+2 -2
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@@ -68,8 +68,8 @@ Breadth-first traversal of directory structure level by level up to a limit:
- Timeout mechanism prevents infinite loops
*/
async function globbyLevelByLevel(limit: number, options?: Options) {
let results: Set<string> = new Set()
let queue: string[] = ["*"]
const results: Set<string> = new Set()
const queue: string[] = ["*"]
const globbingProcess = async () => {
while (queue.length > 0 && results.size < limit) {
src/shared/combineApiRequests.ts
+3 -3
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@@ -23,13 +23,13 @@ export function combineApiRequests(messages: ClineMessage[]): ClineMessage[] {
for (let i = 0; i < messages.length; i++) {
if (messages[i].type === "say" && messages[i].say === "api_req_started") {
let startedRequest = JSON.parse(messages[i].text || "{}")
const startedRequest = JSON.parse(messages[i].text || "{}")
let j = i + 1
while (j < messages.length) {
if (messages[j].type === "say" && messages[j].say === "api_req_finished") {
let finishedRequest = JSON.parse(messages[j].text || "{}")
let combinedRequest = {
const finishedRequest = JSON.parse(messages[j].text || "{}")
const combinedRequest = {
...startedRequest,
...finishedRequest,
}
webview-ui/src/components/history/HistoryView.tsx
+1 -1
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@@ -85,7 +85,7 @@ const HistoryView = ({ onDone }: HistoryViewProps) => {
}, [presentableTasks])
const taskHistorySearchResults = useMemo(() => {
let results = searchQuery ? highlight(fuse.search(searchQuery)) : presentableTasks
const results = searchQuery ? highlight(fuse.search(searchQuery)) : presentableTasks
results.sort((a, b) => {
switch (sortOption) {
webview-ui/src/components/settings/ApiOptions.tsx
+6 -6
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@@ -820,7 +820,7 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage, modelIdErrorMessage, is
checked={!!apiConfiguration?.openAiModelInfo?.supportsImages}
onChange={(e: any) => {
const isChecked = e.target.checked === true
let modelInfo = apiConfiguration?.openAiModelInfo
const modelInfo = apiConfiguration?.openAiModelInfo
? apiConfiguration.openAiModelInfo
: { ...openAiModelInfoSaneDefaults }
modelInfo.supportsImages = isChecked
@@ -871,7 +871,7 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage, modelIdErrorMessage, is
}
style={{ flex: 1 }}
onInput={(input: any) => {
let modelInfo = apiConfiguration?.openAiModelInfo
const modelInfo = apiConfiguration?.openAiModelInfo
? apiConfiguration.openAiModelInfo
: { ...openAiModelInfoSaneDefaults }
modelInfo.contextWindow = Number(input.target.value)
@@ -890,7 +890,7 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage, modelIdErrorMessage, is
}
style={{ flex: 1 }}
onInput={(input: any) => {
let modelInfo = apiConfiguration?.openAiModelInfo
const modelInfo = apiConfiguration?.openAiModelInfo
? apiConfiguration.openAiModelInfo
: { ...openAiModelInfoSaneDefaults }
modelInfo.maxTokens = input.target.value
@@ -911,7 +911,7 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage, modelIdErrorMessage, is
}
style={{ flex: 1 }}
onInput={(input: any) => {
let modelInfo = apiConfiguration?.openAiModelInfo
const modelInfo = apiConfiguration?.openAiModelInfo
? apiConfiguration.openAiModelInfo
: { ...openAiModelInfoSaneDefaults }
modelInfo.inputPrice = input.target.value
@@ -930,7 +930,7 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage, modelIdErrorMessage, is
}
style={{ flex: 1 }}
onInput={(input: any) => {
let modelInfo = apiConfiguration?.openAiModelInfo
const modelInfo = apiConfiguration?.openAiModelInfo
? apiConfiguration.openAiModelInfo
: { ...openAiModelInfoSaneDefaults }
modelInfo.outputPrice = input.target.value
@@ -950,7 +950,7 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage, modelIdErrorMessage, is
: openAiModelInfoSaneDefaults.temperature?.toString()
}
onInput={(input: any) => {
let modelInfo = apiConfiguration?.openAiModelInfo
const modelInfo = apiConfiguration?.openAiModelInfo
? apiConfiguration.openAiModelInfo
: { ...openAiModelInfoSaneDefaults }
webview-ui/src/components/settings/OpenAiModelPicker.tsx
+1 -1
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@@ -66,7 +66,7 @@ const OpenAiModelPicker: React.FC = () => {
}, [searchableItems])
const modelSearchResults = useMemo(() => {
let results: { id: string; html: string }[] = searchTerm
const 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
webview-ui/src/components/settings/OpenRouterModelPicker.tsx
+1 -1
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@@ -87,7 +87,7 @@ const OpenRouterModelPicker: React.FC<OpenRouterModelPickerProps> = ({ isPopup }
}, [searchableItems])
const modelSearchResults = useMemo(() => {
let results: { id: string; html: string }[] = searchTerm
const 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