Add LM Studio provider

src/api/index.ts

@@ -6,6 +6,7 @@ import { OpenRouterHandler } from "./providers/openrouter"
 import { VertexHandler } from "./providers/vertex"
 import { OpenAiHandler } from "./providers/openai"
 import { OllamaHandler } from "./providers/ollama"
+import { LmStudioHandler } from "./providers/lmstudio"
 import { GeminiHandler } from "./providers/gemini"
 import { OpenAiNativeHandler } from "./providers/openai-native"
 import { ApiStream } from "./transform/stream"
@@ -30,6 +31,8 @@ export function buildApiHandler(configuration: ApiConfiguration): ApiHandler {
 			return new OpenAiHandler(options)
 		case "ollama":
 			return new OllamaHandler(options)
+		case "lmstudio":
+			return new LmStudioHandler(options)
 		case "gemini":
 			return new GeminiHandler(options)
 		case "openai-native":

src/api/providers/lmstudio.ts

@@ -0,0 +1,56 @@
+import { Anthropic } from "@anthropic-ai/sdk"
+import OpenAI from "openai"
+import { ApiHandler } from "../"
+import { ApiHandlerOptions, ModelInfo, openAiModelInfoSaneDefaults } from "../../shared/api"
+import { convertToOpenAiMessages } from "../transform/openai-format"
+import { ApiStream } from "../transform/stream"
+
+export class LmStudioHandler implements ApiHandler {
+	private options: ApiHandlerOptions
+	private client: OpenAI
+
+	constructor(options: ApiHandlerOptions) {
+		this.options = options
+		this.client = new OpenAI({
+			baseURL: (this.options.lmStudioBaseUrl || "http://localhost:1234") + "/v1",
+			apiKey: "noop",
+		})
+	}
+
+	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
+		const openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
+			{ role: "system", content: systemPrompt },
+			...convertToOpenAiMessages(messages),
+		]
+
+		try {
+			const stream = await this.client.chat.completions.create({
+				model: this.getModel().id,
+				messages: openAiMessages,
+				temperature: 0,
+				stream: true,
+			})
+			for await (const chunk of stream) {
+				const delta = chunk.choices[0]?.delta
+				if (delta?.content) {
+					yield {
+						type: "text",
+						text: delta.content,
+					}
+				}
+			}
+		} catch (error) {
+			// LM Studio doesn't return an error code/body for now
+			throw new Error(
+				"Please check the LM Studio developer logs to debug what went wrong. You may need to load the model with a larger context length to work with Cline's prompts."
+			)
+		}
+	}
+
+	getModel(): { id: string; info: ModelInfo } {
+		return {
+			id: this.options.lmStudioModelId || "",
+			info: openAiModelInfoSaneDefaults,
+		}
+	}
+}

src/core/webview/ClineProvider.ts

@@ -51,6 +51,8 @@ type GlobalStateKey =
 	| "openAiModelId"
 	| "ollamaModelId"
 	| "ollamaBaseUrl"
+	| "lmStudioModelId"
+	| "lmStudioBaseUrl"
 	| "anthropicBaseUrl"
 	| "azureApiVersion"
 	| "openRouterModelId"
@@ -359,6 +361,8 @@ export class ClineProvider implements vscode.WebviewViewProvider {
 								openAiModelId,
 								ollamaModelId,
 								ollamaBaseUrl,
+								lmStudioModelId,
+								lmStudioBaseUrl,
 								anthropicBaseUrl,
 								geminiApiKey,
 								openAiNativeApiKey,
@@ -382,6 +386,8 @@ export class ClineProvider implements vscode.WebviewViewProvider {
 							await this.updateGlobalState("openAiModelId", openAiModelId)
 							await this.updateGlobalState("ollamaModelId", ollamaModelId)
 							await this.updateGlobalState("ollamaBaseUrl", ollamaBaseUrl)
+							await this.updateGlobalState("lmStudioModelId", lmStudioModelId)
+							await this.updateGlobalState("lmStudioBaseUrl", lmStudioBaseUrl)
 							await this.updateGlobalState("anthropicBaseUrl", anthropicBaseUrl)
 							await this.storeSecret("geminiApiKey", geminiApiKey)
 							await this.storeSecret("openAiNativeApiKey", openAiNativeApiKey)
@@ -442,6 +448,10 @@ export class ClineProvider implements vscode.WebviewViewProvider {
 						const ollamaModels = await this.getOllamaModels(message.text)
 						this.postMessageToWebview({ type: "ollamaModels", ollamaModels })
 						break
+					case "requestLmStudioModels":
+						const lmStudioModels = await this.getLmStudioModels(message.text)
+						this.postMessageToWebview({ type: "lmStudioModels", lmStudioModels })
+						break
 					case "refreshOpenRouterModels":
 						await this.refreshOpenRouterModels()
 						break
@@ -509,6 +519,25 @@ export class ClineProvider implements vscode.WebviewViewProvider {
 		}
 	}
 
+	// LM Studio
+
+	async getLmStudioModels(baseUrl?: string) {
+		try {
+			if (!baseUrl) {
+				baseUrl = "http://localhost:1234"
+			}
+			if (!URL.canParse(baseUrl)) {
+				return []
+			}
+			const response = await axios.get(`${baseUrl}/v1/models`)
+			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) {
@@ -835,6 +864,8 @@ export class ClineProvider implements vscode.WebviewViewProvider {
 			openAiModelId,
 			ollamaModelId,
 			ollamaBaseUrl,
+			lmStudioModelId,
+			lmStudioBaseUrl,
 			anthropicBaseUrl,
 			geminiApiKey,
 			openAiNativeApiKey,
@@ -862,6 +893,8 @@ export class ClineProvider implements vscode.WebviewViewProvider {
 			this.getGlobalState("openAiModelId") as Promise<string | undefined>,
 			this.getGlobalState("ollamaModelId") as Promise<string | undefined>,
 			this.getGlobalState("ollamaBaseUrl") as Promise<string | undefined>,
+			this.getGlobalState("lmStudioModelId") as Promise<string | undefined>,
+			this.getGlobalState("lmStudioBaseUrl") as Promise<string | undefined>,
 			this.getGlobalState("anthropicBaseUrl") as Promise<string | undefined>,
 			this.getSecret("geminiApiKey") as Promise<string | undefined>,
 			this.getSecret("openAiNativeApiKey") as Promise<string | undefined>,
@@ -906,6 +939,8 @@ export class ClineProvider implements vscode.WebviewViewProvider {
 				openAiModelId,
 				ollamaModelId,
 				ollamaBaseUrl,
+				lmStudioModelId,
+				lmStudioBaseUrl,
 				anthropicBaseUrl,
 				geminiApiKey,
 				openAiNativeApiKey,

src/shared/ExtensionMessage.ts

@@ -10,6 +10,7 @@ export interface ExtensionMessage {
 		| "state"
 		| "selectedImages"
 		| "ollamaModels"
+		| "lmStudioModels"
 		| "theme"
 		| "workspaceUpdated"
 		| "invoke"
@@ -21,6 +22,7 @@ export interface ExtensionMessage {
 	state?: ExtensionState
 	images?: string[]
 	ollamaModels?: string[]
+	lmStudioModels?: string[]
 	filePaths?: string[]
 	partialMessage?: ClineMessage
 	openRouterModels?: Record<string, ModelInfo>

src/shared/WebviewMessage.ts

@@ -17,6 +17,7 @@ export interface WebviewMessage {
 		| "exportTaskWithId"
 		| "resetState"
 		| "requestOllamaModels"
+		| "requestLmStudioModels"
 		| "openImage"
 		| "openFile"
 		| "openMention"

src/shared/api.ts

@@ -5,6 +5,7 @@ export type ApiProvider =
 	| "vertex"
 	| "openai"
 	| "ollama"
+	| "lmstudio"
 	| "gemini"
 	| "openai-native"
 
@@ -27,6 +28,8 @@ export interface ApiHandlerOptions {
 	openAiModelId?: string
 	ollamaModelId?: string
 	ollamaBaseUrl?: string
+	lmStudioModelId?: string
+	lmStudioBaseUrl?: string
 	geminiApiKey?: string
 	openAiNativeApiKey?: string
 	azureApiVersion?: string