fix: LM Studio model context length (#5075)

src/api/providers/fetchers/__tests__/lmstudio.test.ts

@@ -118,7 +118,7 @@ describe("LMStudio Fetcher", () => {
 			expect(MockedLMStudioClientConstructor).toHaveBeenCalledWith({ baseUrl: lmsUrl })
 			expect(mockListDownloadedModels).toHaveBeenCalledTimes(1)
 			expect(mockListDownloadedModels).toHaveBeenCalledWith("llm")
-			expect(mockListLoaded).not.toHaveBeenCalled()
+			expect(mockListLoaded).toHaveBeenCalled() // we now call it to get context data
 
 			const expectedParsedModel = parseLMStudioModel(mockLLMInfo)
 			expect(result).toEqual({ [mockLLMInfo.path]: expectedParsedModel })

src/api/providers/fetchers/lmstudio.ts

@@ -1,6 +1,38 @@
 import { ModelInfo, lMStudioDefaultModelInfo } from "@roo-code/types"
 import { LLM, LLMInfo, LLMInstanceInfo, LMStudioClient } from "@lmstudio/sdk"
 import axios from "axios"
+import { flushModels, getModels } from "./modelCache"
+
+const modelsWithLoadedDetails = new Set<string>()
+
+export const hasLoadedFullDetails = (modelId: string): boolean => {
+	return modelsWithLoadedDetails.has(modelId)
+}
+
+export const forceFullModelDetailsLoad = async (baseUrl: string, modelId: string): Promise<void> => {
+	try {
+		// test the connection to LM Studio first
+		// errors will be caught further down
+		await axios.get(`${baseUrl}/v1/models`)
+		const lmsUrl = baseUrl.replace(/^http:\/\//, "ws://").replace(/^https:\/\//, "wss://")
+
+		const client = new LMStudioClient({ baseUrl: lmsUrl })
+		await client.llm.model(modelId)
+		await flushModels("lmstudio")
+		await getModels({ provider: "lmstudio" }) // force cache update now
+
+		// Mark this model as having full details loaded
+		modelsWithLoadedDetails.add(modelId)
+	} catch (error) {
+		if (error.code === "ECONNREFUSED") {
+			console.warn(`Error connecting to LMStudio at ${baseUrl}`)
+		} else {
+			console.error(
+				`Error refreshing LMStudio model details: ${JSON.stringify(error, Object.getOwnPropertyNames(error), 2)}`,
+			)
+		}
+	}
+}
 
 export const parseLMStudioModel = (rawModel: LLMInstanceInfo | LLMInfo): ModelInfo => {
 	// Handle both LLMInstanceInfo (from loaded models) and LLMInfo (from downloaded models)
@@ -19,6 +51,8 @@ export const parseLMStudioModel = (rawModel: LLMInstanceInfo | LLMInfo): ModelIn
 }
 
 export async function getLMStudioModels(baseUrl = "http://localhost:1234"): Promise<Record<string, ModelInfo>> {
+	// clear the set of models that have full details loaded
+	modelsWithLoadedDetails.clear()
 	// clearing the input can leave an empty string; use the default in that case
 	baseUrl = baseUrl === "" ? "http://localhost:1234" : baseUrl
 
@@ -46,15 +80,15 @@ export async function getLMStudioModels(baseUrl = "http://localhost:1234"): Prom
 			}
 		} catch (error) {
 			console.warn("Failed to list downloaded models, falling back to loaded models only")
+		}
+		// We want to list loaded models *anyway* since they provide valuable extra info (context size)
+		const loadedModels = (await client.llm.listLoaded().then((models: LLM[]) => {
+			return Promise.all(models.map((m) => m.getModelInfo()))
+		})) as Array<LLMInstanceInfo>
 
-			// Fall back to listing only loaded models
-			const loadedModels = (await client.llm.listLoaded().then((models: LLM[]) => {
-				return Promise.all(models.map((m) => m.getModelInfo()))
-			})) as Array<LLMInstanceInfo>
-
-			for (const lmstudioModel of loadedModels) {
-				models[lmstudioModel.modelKey] = parseLMStudioModel(lmstudioModel)
-			}
+		for (const lmstudioModel of loadedModels) {
+			models[lmstudioModel.modelKey] = parseLMStudioModel(lmstudioModel)
+			modelsWithLoadedDetails.add(lmstudioModel.modelKey)
 		}
 	} catch (error) {
 		if (error.code === "ECONNREFUSED") {

src/api/providers/fetchers/modelCache.ts

@@ -47,7 +47,7 @@ async function readModels(router: RouterName): Promise<ModelRecord | undefined>
  */
 export const getModels = async (options: GetModelsOptions): Promise<ModelRecord> => {
 	const { provider } = options
-	let models = memoryCache.get<ModelRecord>(provider)
+	let models = getModelsFromCache(provider)
 	if (models) {
 		return models
 	}
@@ -113,3 +113,7 @@ export const getModels = async (options: GetModelsOptions): Promise<ModelRecord>
 export const flushModels = async (router: RouterName) => {
 	memoryCache.del(router)
 }
+
+export function getModelsFromCache(provider: string) {
+	return memoryCache.get<ModelRecord>(provider)
+}

src/api/providers/lm-studio.ts

@@ -13,6 +13,7 @@ import { ApiStream } from "../transform/stream"
 
 import { BaseProvider } from "./base-provider"
 import type { SingleCompletionHandler, ApiHandlerCreateMessageMetadata } from "../index"
+import { getModels, getModelsFromCache } from "./fetchers/modelCache"
 
 export class LmStudioHandler extends BaseProvider implements SingleCompletionHandler {
 	protected options: ApiHandlerOptions
@@ -131,9 +132,17 @@ export class LmStudioHandler extends BaseProvider implements SingleCompletionHan
 	}
 
 	override getModel(): { id: string; info: ModelInfo } {
-		return {
-			id: this.options.lmStudioModelId || "",
-			info: openAiModelInfoSaneDefaults,
+		const models = getModelsFromCache("lmstudio")
+		if (models && this.options.lmStudioModelId && models[this.options.lmStudioModelId]) {
+			return {
+				id: this.options.lmStudioModelId,
+				info: models[this.options.lmStudioModelId],
+			}
+		} else {
+			return {
+				id: this.options.lmStudioModelId || "",
+				info: openAiModelInfoSaneDefaults,
+			}
 		}
 	}
 

src/core/webview/ClineProvider.ts

@@ -23,7 +23,6 @@ import {
 	type TerminalActionPromptType,
 	type HistoryItem,
 	type CloudUserInfo,
-	type MarketplaceItem,
 	requestyDefaultModelId,
 	openRouterDefaultModelId,
 	glamaDefaultModelId,
@@ -41,7 +40,7 @@ import { supportPrompt } from "../../shared/support-prompt"
 import { GlobalFileNames } from "../../shared/globalFileNames"
 import { ExtensionMessage, MarketplaceInstalledMetadata } from "../../shared/ExtensionMessage"
 import { Mode, defaultModeSlug, getModeBySlug } from "../../shared/modes"
-import { experimentDefault, experiments, EXPERIMENT_IDS } from "../../shared/experiments"
+import { experimentDefault } from "../../shared/experiments"
 import { formatLanguage } from "../../shared/language"
 import { DEFAULT_WRITE_DELAY_MS } from "@roo-code/types"
 import { Terminal } from "../../integrations/terminal/Terminal"
@@ -71,6 +70,7 @@ import { WebviewMessage } from "../../shared/WebviewMessage"
 import { EMBEDDING_MODEL_PROFILES } from "../../shared/embeddingModels"
 import { ProfileValidator } from "../../shared/ProfileValidator"
 import { getWorkspaceGitInfo } from "../../utils/git"
+import { forceFullModelDetailsLoad, hasLoadedFullDetails } from "../../api/providers/fetchers/lmstudio"
 
 /**
  * https://github.com/microsoft/vscode-webview-ui-toolkit-samples/blob/main/default/weather-webview/src/providers/WeatherViewProvider.ts
@@ -170,6 +170,9 @@ export class ClineProvider
 		// Add this cline instance into the stack that represents the order of all the called tasks.
 		this.clineStack.push(cline)
 
+		// Perform special setup provider specific tasks
+		await this.performPreparationTasks(cline)
+
 		// Ensure getState() resolves correctly.
 		const state = await this.getState()
 
@@ -178,6 +181,23 @@ export class ClineProvider
 		}
 	}
 
+	async performPreparationTasks(cline: Task) {
+		// LMStudio: we need to force model loading in order to read its context size; we do it now since we're starting a task with that model selected
+		if (cline.apiConfiguration && cline.apiConfiguration.apiProvider === "lmstudio") {
+			try {
+				if (!hasLoadedFullDetails(cline.apiConfiguration.lmStudioModelId!)) {
+					await forceFullModelDetailsLoad(
+						cline.apiConfiguration.lmStudioBaseUrl ?? "http://localhost:1234",
+						cline.apiConfiguration.lmStudioModelId!,
+					)
+				}
+			} catch (error) {
+				this.log(`Failed to load full model details for LM Studio: ${error}`)
+				vscode.window.showErrorMessage(error.message)
+			}
+		}
+	}
+
 	// Removes and destroys the top Cline instance (the current finished task),
 	// activating the previous one (resuming the parent task).
 	async removeClineFromStack() {

src/core/webview/__tests__/ClineProvider.spec.ts

@@ -16,6 +16,7 @@ import { Task, TaskOptions } from "../../task/Task"
 import { safeWriteJson } from "../../../utils/safeWriteJson"
 
 import { ClineProvider } from "../ClineProvider"
+import { AsyncInvokeOutputDataConfig } from "@aws-sdk/client-bedrock-runtime"
 
 // Mock setup must come before imports
 vi.mock("../../prompts/sections/custom-instructions")
@@ -2840,6 +2841,33 @@ describe("ClineProvider - Router Models", () => {
 			},
 		})
 	})
+
+	test("handles requestLmStudioModels with proper response", async () => {
+		await provider.resolveWebviewView(mockWebviewView)
+		const messageHandler = (mockWebviewView.webview.onDidReceiveMessage as any).mock.calls[0][0]
+
+		vi.spyOn(provider, "getState").mockResolvedValue({
+			apiConfiguration: {
+				lmStudioModelId: "model-1",
+				lmStudioBaseUrl: "http://localhost:1234",
+			},
+		} as any)
+
+		const mockModels = {
+			"model-1": { maxTokens: 4096, contextWindow: 8192, description: "Test model", supportsPromptCache: false },
+		}
+		const { getModels } = await import("../../../api/providers/fetchers/modelCache")
+		vi.mocked(getModels).mockResolvedValue(mockModels)
+
+		await messageHandler({
+			type: "requestLmStudioModels",
+		})
+
+		expect(getModels).toHaveBeenCalledWith({
+			provider: "lmstudio",
+			baseUrl: "http://localhost:1234",
+		})
+	})
 })
 
 describe("ClineProvider - Comprehensive Edit/Delete Edge Cases", () => {

src/core/webview/__tests__/webviewMessageHandler.spec.ts

@@ -94,6 +94,48 @@ vi.mock("../../../utils/fs")
 vi.mock("../../../utils/path")
 vi.mock("../../../utils/globalContext")
 
+describe("webviewMessageHandler - requestLmStudioModels", () => {
+	beforeEach(() => {
+		vi.clearAllMocks()
+		mockClineProvider.getState = vi.fn().mockResolvedValue({
+			apiConfiguration: {
+				lmStudioModelId: "model-1",
+				lmStudioBaseUrl: "http://localhost:1234",
+			},
+		})
+	})
+
+	it("successfully fetches models from LMStudio", async () => {
+		const mockModels: ModelRecord = {
+			"model-1": {
+				maxTokens: 4096,
+				contextWindow: 8192,
+				supportsPromptCache: false,
+				description: "Test model 1",
+			},
+			"model-2": {
+				maxTokens: 8192,
+				contextWindow: 16384,
+				supportsPromptCache: false,
+				description: "Test model 2",
+			},
+		}
+
+		mockGetModels.mockResolvedValue(mockModels)
+
+		await webviewMessageHandler(mockClineProvider, {
+			type: "requestLmStudioModels",
+		})
+
+		expect(mockGetModels).toHaveBeenCalledWith({ provider: "lmstudio", baseUrl: "http://localhost:1234" })
+
+		expect(mockClineProvider.postMessageToWebview).toHaveBeenCalledWith({
+			type: "lmStudioModels",
+			lmStudioModels: mockModels,
+		})
+	})
+})
+
 describe("webviewMessageHandler - requestRouterModels", () => {
 	beforeEach(() => {
 		vi.clearAllMocks()

src/core/webview/webviewMessageHandler.ts

@@ -584,7 +584,7 @@ export const webviewMessageHandler = async (
 					} else if (routerName === "lmstudio" && Object.keys(result.value.models).length > 0) {
 						provider.postMessageToWebview({
 							type: "lmStudioModels",
-							lmStudioModels: Object.keys(result.value.models),
+							lmStudioModels: result.value.models,
 						})
 					}
 				} else {
@@ -648,7 +648,7 @@ export const webviewMessageHandler = async (
 				if (Object.keys(lmStudioModels).length > 0) {
 					provider.postMessageToWebview({
 						type: "lmStudioModels",
-						lmStudioModels: Object.keys(lmStudioModels),
+						lmStudioModels: lmStudioModels,
 					})
 				}
 			} catch (error) {

src/shared/ExtensionMessage.ts

@@ -16,7 +16,7 @@ import { GitCommit } from "../utils/git"
 
 import { McpServer } from "./mcp"
 import { Mode } from "./modes"
-import { RouterModels } from "./api"
+import { ModelRecord, RouterModels } from "./api"
 import type { MarketplaceItem } from "@roo-code/types"
 
 // Command interface for frontend/backend communication
@@ -146,7 +146,7 @@ export interface ExtensionMessage {
 	routerModels?: RouterModels
 	openAiModels?: string[]
 	ollamaModels?: string[]
-	lmStudioModels?: string[]
+	lmStudioModels?: ModelRecord
 	vsCodeLmModels?: { vendor?: string; family?: string; version?: string; id?: string }[]
 	huggingFaceModels?: Array<{
 		id: string