🐛 fix(providers): fix prefer-const lint warnings after rebase (#404)

Author: HappyLiang12

src/api/providers/anthropic-vertex.ts

@@ -217,7 +217,7 @@ export class AnthropicVertexHandler extends BaseProvider implements SingleComple
 
 	getModel() {
 		const modelId = this.options.apiModelId
-		let id = modelId && modelId in vertexModels ? (modelId as VertexModelId) : vertexDefaultModelId
+		const id = modelId && modelId in vertexModels ? (modelId as VertexModelId) : vertexDefaultModelId
 		let info: ModelInfo = vertexModels[id]
 
 		// Check if 1M context beta should be enabled for supported models
@@ -278,7 +278,7 @@ export class AnthropicVertexHandler extends BaseProvider implements SingleComple
 	async completePrompt(prompt: string) {
 		const signal = this.createAbortSignal()
 		try {
-			let {
+			const {
 				id,
 				info: { supportsPromptCache },
 				temperature,

src/api/providers/anthropic.ts

@@ -358,7 +358,7 @@ export class AnthropicHandler extends BaseProvider implements SingleCompletionHa
 
 	getModel() {
 		const modelId = this.options.apiModelId
-		let id = modelId && modelId in anthropicModels ? (modelId as AnthropicModelId) : anthropicDefaultModelId
+		const id = modelId && modelId in anthropicModels ? (modelId as AnthropicModelId) : anthropicDefaultModelId
 		let info: ModelInfo = anthropicModels[id]
 
 		// If 1M context beta is enabled for supported models, update the model info

src/api/providers/lite-llm.ts

@@ -187,7 +187,7 @@ export class LiteLLMHandler extends RouterProvider implements SingleCompletionHa
 			}
 
 			// Required by some providers; others default to max tokens allowed
-			let maxTokens: number | undefined = info.maxTokens ?? undefined
+			const maxTokens: number | undefined = info.maxTokens ?? undefined
 
 			// Check if this is a GPT-5 model that requires max_completion_tokens instead of max_tokens
 			const isGPT5Model = this.isGpt5(modelId)

src/api/providers/minimax.ts

@@ -83,7 +83,6 @@ export class MiniMaxHandler extends BaseProvider implements SingleCompletionHand
 	): ApiStream {
 		const signal = this.createAbortSignal()
 		try {
-			let stream: AnthropicStream<Anthropic.Messages.RawMessageStreamEvent>
 			const cacheControl: CacheControlEphemeral = { type: "ephemeral" }
 			const { id: modelId, info, maxTokens, temperature } = this.getModel()
 
@@ -117,7 +116,7 @@ export class MiniMaxHandler extends BaseProvider implements SingleCompletionHand
 				tool_choice: convertOpenAIToolChoice(metadata?.tool_choice),
 			}
 
-			stream = await this.client.messages.create(requestParams, { signal })
+			const stream = await this.client.messages.create(requestParams, { signal })
 
 			let inputTokens = 0
 			let outputTokens = 0

src/api/providers/requesty.ts

@@ -213,7 +213,7 @@ export class RequestyHandler extends BaseProvider implements SingleCompletionHan
 		try {
 			const { id: model, maxTokens: max_tokens, temperature } = await this.fetchModel()
 
-			let openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [{ role: "system", content: prompt }]
+			const openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [{ role: "system", content: prompt }]
 
 			const completionParams: RequestyChatCompletionParams = {
 				model,

src/api/providers/unbound.ts

@@ -201,7 +201,7 @@ export class UnboundHandler extends BaseProvider implements SingleCompletionHand
 		try {
 			const { id: model, maxTokens: max_tokens, temperature } = await this.fetchModel()
 
-			let openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [{ role: "system", content: prompt }]
+			const openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [{ role: "system", content: prompt }]
 
 			const completionParams: UnboundChatCompletionParams = {
 				model,