Spacing adjustments

src/api/index.ts

@@ -15,43 +15,40 @@ import { VsCodeLmHandler } from "./providers/vscode-lm"
 import { ApiStream } from "./transform/stream"
 
 export interface SingleCompletionHandler {
-  completePrompt(prompt: string): Promise<string>
+	completePrompt(prompt: string): Promise<string>
 }
 
 export interface ApiHandler {
-  createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream
-  getModel(): { id: string; info: ModelInfo }
+	createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream
+	getModel(): { id: string; info: ModelInfo }
 }
 
 export function buildApiHandler(configuration: ApiConfiguration): ApiHandler {
-  const { apiProvider, ...options } = configuration
-
-  switch (apiProvider) {
-    case "anthropic":
-      return new AnthropicHandler(options)
-    case "glama":
-      return new GlamaHandler(options)
-    case "openrouter":
-      return new OpenRouterHandler(options)
-    case "bedrock":
-      return new AwsBedrockHandler(options)
-    case "vertex":
-      return new VertexHandler(options)
-    case "openai":
-      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":
-      return new OpenAiNativeHandler(options)
-    case "deepseek":
-      return new DeepSeekHandler(options)
-    case "vscode-lm":
-      return new VsCodeLmHandler(options)
-    default:
-      return new AnthropicHandler(options)
-  }
+	const { apiProvider, ...options } = configuration
+	switch (apiProvider) {
+		case "anthropic":
+			return new AnthropicHandler(options)
+		case "glama":
+			return new GlamaHandler(options)
+		case "openrouter":
+			return new OpenRouterHandler(options)
+		case "bedrock":
+			return new AwsBedrockHandler(options)
+		case "vertex":
+			return new VertexHandler(options)
+		case "openai":
+			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":
+			return new OpenAiNativeHandler(options)
+		case "deepseek":
+			return new DeepSeekHandler(options)
+		default:
+			return new AnthropicHandler(options)
+	}
 }

src/api/transform/vscode-lm-format.ts

@@ -5,205 +5,205 @@ import * as vscode from 'vscode';
  * Safely converts a value into a plain object.
  */
 function asObjectSafe(value: any): object {
-    // Handle null/undefined
-    if (!value) {
-        return {};
-    }
+	// Handle null/undefined
+	if (!value) {
+		return {};
+	}
 
-    try {
-        // Handle strings that might be JSON
-        if (typeof value === 'string') {
-            return JSON.parse(value);
-        }
+	try {
+		// Handle strings that might be JSON
+		if (typeof value === 'string') {
+			return JSON.parse(value);
+		}
 
-        // Handle pre-existing objects
-        if (typeof value === 'object') {
-            return Object.assign({}, value);
-        }
+		// Handle pre-existing objects
+		if (typeof value === 'object') {
+			return Object.assign({}, value);
+		}
 
-        return {};
-    }
-    catch (error) {
-        console.warn('Cline <Language Model API>: Failed to parse object:', error);
-        return {};
-    }
+		return {};
+	}
+	catch (error) {
+		console.warn('Cline <Language Model API>: Failed to parse object:', error);
+		return {};
+	}
 }
 
 export function convertToVsCodeLmMessages(anthropicMessages: Anthropic.Messages.MessageParam[]): vscode.LanguageModelChatMessage[] {
-    const vsCodeLmMessages: vscode.LanguageModelChatMessage[] = [];
+	const vsCodeLmMessages: vscode.LanguageModelChatMessage[] = [];
 
-    for (const anthropicMessage of anthropicMessages) {
-        // Handle simple string messages
-        if (typeof anthropicMessage.content === "string") {
-            vsCodeLmMessages.push(
-                anthropicMessage.role === "assistant"
-                    ? vscode.LanguageModelChatMessage.Assistant(anthropicMessage.content)
-                    : vscode.LanguageModelChatMessage.User(anthropicMessage.content)
-            );
-            continue;
-        }
+	for (const anthropicMessage of anthropicMessages) {
+		// Handle simple string messages
+		if (typeof anthropicMessage.content === "string") {
+			vsCodeLmMessages.push(
+				anthropicMessage.role === "assistant"
+					? vscode.LanguageModelChatMessage.Assistant(anthropicMessage.content)
+					: vscode.LanguageModelChatMessage.User(anthropicMessage.content)
+			);
+			continue;
+		}
 
-        // Handle complex message structures
-        switch (anthropicMessage.role) {
-            case "user": {
-                const { nonToolMessages, toolMessages } = anthropicMessage.content.reduce<{
-                    nonToolMessages: (Anthropic.TextBlockParam | Anthropic.ImageBlockParam)[];
-                    toolMessages: Anthropic.ToolResultBlockParam[];
-                }>(
-                    (acc, part) => {
-                        if (part.type === "tool_result") {
-                            acc.toolMessages.push(part);
-                        }
-                        else if (part.type === "text" || part.type === "image") {
-                            acc.nonToolMessages.push(part);
-                        }
-                        return acc;
-                    },
-                    { nonToolMessages: [], toolMessages: [] },
-                );
+		// Handle complex message structures
+		switch (anthropicMessage.role) {
+			case "user": {
+				const { nonToolMessages, toolMessages } = anthropicMessage.content.reduce<{
+					nonToolMessages: (Anthropic.TextBlockParam | Anthropic.ImageBlockParam)[];
+					toolMessages: Anthropic.ToolResultBlockParam[];
+				}>(
+					(acc, part) => {
+						if (part.type === "tool_result") {
+							acc.toolMessages.push(part);
+						}
+						else if (part.type === "text" || part.type === "image") {
+							acc.nonToolMessages.push(part);
+						}
+						return acc;
+					},
+					{ nonToolMessages: [], toolMessages: [] },
+				);
 
-                // Process tool messages first then non-tool messages
-                const contentParts = [
-                    // Convert tool messages to ToolResultParts
-                    ...toolMessages.map((toolMessage) => {
-                        // Process tool result content into TextParts
-                        const toolContentParts: vscode.LanguageModelTextPart[] = (
-                            typeof toolMessage.content === "string"
-                                ? [new vscode.LanguageModelTextPart(toolMessage.content)]
-                                : (
-                                    toolMessage.content?.map((part) => {
-                                        if (part.type === "image") {
-                                            return new vscode.LanguageModelTextPart(
-                                                `[Image (${part.source?.type || 'Unknown source-type'}): ${part.source?.media_type || 'unknown media-type'} not supported by VSCode LM API]`
-                                            );
-                                        }
-                                        return new vscode.LanguageModelTextPart(part.text);
-                                    })
-                                    ?? [new vscode.LanguageModelTextPart("")]
-                                )
-                        );
+				// Process tool messages first then non-tool messages
+				const contentParts = [
+					// Convert tool messages to ToolResultParts
+					...toolMessages.map((toolMessage) => {
+						// Process tool result content into TextParts
+						const toolContentParts: vscode.LanguageModelTextPart[] = (
+							typeof toolMessage.content === "string"
+								? [new vscode.LanguageModelTextPart(toolMessage.content)]
+								: (
+									toolMessage.content?.map((part) => {
+										if (part.type === "image") {
+											return new vscode.LanguageModelTextPart(
+												`[Image (${part.source?.type || 'Unknown source-type'}): ${part.source?.media_type || 'unknown media-type'} not supported by VSCode LM API]`
+											);
+										}
+										return new vscode.LanguageModelTextPart(part.text);
+									})
+									?? [new vscode.LanguageModelTextPart("")]
+								)
+						);
 
-                        return new vscode.LanguageModelToolResultPart(
-                            toolMessage.tool_use_id,
-                            toolContentParts
-                        );
-                    }),
+						return new vscode.LanguageModelToolResultPart(
+							toolMessage.tool_use_id,
+							toolContentParts
+						);
+					}),
 
-                    // Convert non-tool messages to TextParts after tool messages
-                    ...nonToolMessages.map((part) => {
-                        if (part.type === "image") {
-                            return new vscode.LanguageModelTextPart(
-                                `[Image (${part.source?.type || 'Unknown source-type'}): ${part.source?.media_type || 'unknown media-type'} not supported by VSCode LM API]`
-                            );
-                        }
-                        return new vscode.LanguageModelTextPart(part.text);
-                    })
-                ];
+					// Convert non-tool messages to TextParts after tool messages
+					...nonToolMessages.map((part) => {
+						if (part.type === "image") {
+							return new vscode.LanguageModelTextPart(
+								`[Image (${part.source?.type || 'Unknown source-type'}): ${part.source?.media_type || 'unknown media-type'} not supported by VSCode LM API]`
+							);
+						}
+						return new vscode.LanguageModelTextPart(part.text);
+					})
+				];
 
-                // Add single user message with all content parts
-                vsCodeLmMessages.push(vscode.LanguageModelChatMessage.User(contentParts));
-                break;
-            }
+				// Add single user message with all content parts
+				vsCodeLmMessages.push(vscode.LanguageModelChatMessage.User(contentParts));
+				break;
+			}
 
-            case "assistant": {
-                const { nonToolMessages, toolMessages } = anthropicMessage.content.reduce<{
-                    nonToolMessages: (Anthropic.TextBlockParam | Anthropic.ImageBlockParam)[];
-                    toolMessages: Anthropic.ToolUseBlockParam[];
-                }>(
-                    (acc, part) => {
-                        if (part.type === "tool_use") {
-                            acc.toolMessages.push(part);
-                        }
-                        else if (part.type === "text" || part.type === "image") {
-                            acc.nonToolMessages.push(part);
-                        }
-                        return acc;
-                    },
-                    { nonToolMessages: [], toolMessages: [] },
-                );
+			case "assistant": {
+				const { nonToolMessages, toolMessages } = anthropicMessage.content.reduce<{
+					nonToolMessages: (Anthropic.TextBlockParam | Anthropic.ImageBlockParam)[];
+					toolMessages: Anthropic.ToolUseBlockParam[];
+				}>(
+					(acc, part) => {
+						if (part.type === "tool_use") {
+							acc.toolMessages.push(part);
+						}
+						else if (part.type === "text" || part.type === "image") {
+							acc.nonToolMessages.push(part);
+						}
+						return acc;
+					},
+					{ nonToolMessages: [], toolMessages: [] },
+				);
 
-                // Process tool messages first then non-tool messages 
-                const contentParts = [
-                    // Convert tool messages to ToolCallParts first
-                    ...toolMessages.map((toolMessage) =>
-                        new vscode.LanguageModelToolCallPart(
-                            toolMessage.id,
-                            toolMessage.name,
-                            asObjectSafe(toolMessage.input)
-                        )
-                    ),
+				// Process tool messages first then non-tool messages 
+				const contentParts = [
+					// Convert tool messages to ToolCallParts first
+					...toolMessages.map((toolMessage) =>
+						new vscode.LanguageModelToolCallPart(
+							toolMessage.id,
+							toolMessage.name,
+							asObjectSafe(toolMessage.input)
+						)
+					),
 
-                    // Convert non-tool messages to TextParts after tool messages
-                    ...nonToolMessages.map((part) => {
-                        if (part.type === "image") {
-                            return new vscode.LanguageModelTextPart("[Image generation not supported by VSCode LM API]");
-                        }
-                        return new vscode.LanguageModelTextPart(part.text);
-                    })
-                ];
+					// Convert non-tool messages to TextParts after tool messages
+					...nonToolMessages.map((part) => {
+						if (part.type === "image") {
+							return new vscode.LanguageModelTextPart("[Image generation not supported by VSCode LM API]");
+						}
+						return new vscode.LanguageModelTextPart(part.text);
+					})
+				];
 
-                // Add the assistant message to the list of messages
-                vsCodeLmMessages.push(vscode.LanguageModelChatMessage.Assistant(contentParts));
-                break;
-            }
-        }
-    }
+				// Add the assistant message to the list of messages
+				vsCodeLmMessages.push(vscode.LanguageModelChatMessage.Assistant(contentParts));
+				break;
+			}
+		}
+	}
 
-    return vsCodeLmMessages;
+	return vsCodeLmMessages;
 }
 
 export function convertToAnthropicRole(vsCodeLmMessageRole: vscode.LanguageModelChatMessageRole): string | null {
-    switch (vsCodeLmMessageRole) {
-        case vscode.LanguageModelChatMessageRole.Assistant:
-            return "assistant";
-        case vscode.LanguageModelChatMessageRole.User:
-            return "user";
-        default:
-            return null;
-    }
+	switch (vsCodeLmMessageRole) {
+		case vscode.LanguageModelChatMessageRole.Assistant:
+			return "assistant";
+		case vscode.LanguageModelChatMessageRole.User:
+			return "user";
+		default:
+			return null;
+	}
 }
 
 export async function convertToAnthropicMessage(vsCodeLmMessage: vscode.LanguageModelChatMessage): Promise<Anthropic.Messages.Message> {
-    const anthropicRole: string | null = convertToAnthropicRole(vsCodeLmMessage.role);
-    if (anthropicRole !== "assistant") {
-        throw new Error("Cline <Language Model API>: Only assistant messages are supported.");
-    }
+	const anthropicRole: string | null = convertToAnthropicRole(vsCodeLmMessage.role);
+	if (anthropicRole !== "assistant") {
+		throw new Error("Cline <Language Model API>: Only assistant messages are supported.");
+	}
 
-    return {
-        id: crypto.randomUUID(),
-        type: "message",
-        model: "vscode-lm",
-        role: anthropicRole,
-        content: (
-            vsCodeLmMessage.content
-                .map((part): Anthropic.ContentBlock | null => {
-                    if (part instanceof vscode.LanguageModelTextPart) {
-                        return {
-                            type: "text",
-                            text: part.value
-                        };
-                    }
+	return {
+		id: crypto.randomUUID(),
+		type: "message",
+		model: "vscode-lm",
+		role: anthropicRole,
+		content: (
+			vsCodeLmMessage.content
+				.map((part): Anthropic.ContentBlock | null => {
+					if (part instanceof vscode.LanguageModelTextPart) {
+						return {
+							type: "text",
+							text: part.value
+						};
+					}
 
-                    if (part instanceof vscode.LanguageModelToolCallPart) {
-                        return {
-                            type: "tool_use",
-                            id: part.callId || crypto.randomUUID(),
-                            name: part.name,
-                            input: asObjectSafe(part.input)
-                        };
-                    }
+					if (part instanceof vscode.LanguageModelToolCallPart) {
+						return {
+							type: "tool_use",
+							id: part.callId || crypto.randomUUID(),
+							name: part.name,
+							input: asObjectSafe(part.input)
+						};
+					}
 
-                    return null;
-                })
-                .filter(
-                    (part): part is Anthropic.ContentBlock => part !== null
-                )
-        ),
-        stop_reason: null,
-        stop_sequence: null,
-        usage: {
-            input_tokens: 0,
-            output_tokens: 0,
-        }
-    };
+					return null;
+				})
+				.filter(
+					(part): part is Anthropic.ContentBlock => part !== null
+				)
+		),
+		stop_reason: null,
+		stop_sequence: null,
+		usage: {
+			input_tokens: 0,
+			output_tokens: 0,
+		}
+	};
 }

src/core/webview/ClineProvider.ts

@@ -45,7 +45,6 @@ type SecretKey =
 	| "geminiApiKey"
 	| "openAiNativeApiKey"
 	| "deepSeekApiKey"
-
 type GlobalStateKey =
 	| "apiProvider"
 	| "apiModelId"
@@ -482,72 +481,6 @@ export class ClineProvider implements vscode.WebviewViewProvider {
 						break
 					case "apiConfiguration":
 						if (message.apiConfiguration) {
-							const {
-								apiProvider,
-								apiModelId,
-								apiKey,
-								glamaModelId,
-								glamaModelInfo,
-								glamaApiKey,
-								openRouterApiKey,
-								awsAccessKey,
-								awsSecretKey,
-								awsSessionToken,
-								awsRegion,
-								awsUseCrossRegionInference,
-								vertexProjectId,
-								vertexRegion,
-								openAiBaseUrl,
-								openAiApiKey,
-								openAiModelId,
-								ollamaModelId,
-								ollamaBaseUrl,
-								lmStudioModelId,
-								lmStudioBaseUrl,
-								anthropicBaseUrl,
-								geminiApiKey,
-								openAiNativeApiKey,
-								azureApiVersion,
-								openAiStreamingEnabled,
-								openRouterModelId,
-								openRouterModelInfo,
-								openRouterUseMiddleOutTransform,
-								vsCodeLmModelSelector,
-							} = message.apiConfiguration
-							await this.updateGlobalState("apiProvider", apiProvider)
-							await this.updateGlobalState("apiModelId", apiModelId)
-							await this.storeSecret("apiKey", apiKey)
-							await this.updateGlobalState("glamaModelId", glamaModelId)
-							await this.updateGlobalState("glamaModelInfo", glamaModelInfo)
-							await this.storeSecret("glamaApiKey", glamaApiKey)
-							await this.storeSecret("openRouterApiKey", openRouterApiKey)
-							await this.storeSecret("awsAccessKey", awsAccessKey)
-							await this.storeSecret("awsSecretKey", awsSecretKey)
-							await this.storeSecret("awsSessionToken", awsSessionToken)
-							await this.updateGlobalState("awsRegion", awsRegion)
-							await this.updateGlobalState("awsUseCrossRegionInference", awsUseCrossRegionInference)
-							await this.updateGlobalState("vertexProjectId", vertexProjectId)
-							await this.updateGlobalState("vertexRegion", vertexRegion)
-							await this.updateGlobalState("openAiBaseUrl", openAiBaseUrl)
-							await this.storeSecret("openAiApiKey", openAiApiKey)
-							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)
-							await this.storeSecret("deepSeekApiKey", message.apiConfiguration.deepSeekApiKey)
-							await this.updateGlobalState("azureApiVersion", azureApiVersion)
-							await this.updateGlobalState("openAiStreamingEnabled", openAiStreamingEnabled)
-							await this.updateGlobalState("openRouterModelId", openRouterModelId)
-							await this.updateGlobalState("openRouterModelInfo", openRouterModelInfo)
-							await this.updateGlobalState("openRouterUseMiddleOutTransform", openRouterUseMiddleOutTransform)
-							await this.updateGlobalState("vsCodeLmModelSelector", vsCodeLmModelSelector)
-							if (this.cline) {
-								this.cline.api = buildApiHandler(message.apiConfiguration)
-							}
 							await this.updateApiConfiguration(message.apiConfiguration)
 						}
 						await this.postStateToWebview()
@@ -1016,6 +949,7 @@ export class ClineProvider implements vscode.WebviewViewProvider {
 			openRouterModelId,
 			openRouterModelInfo,
 			openRouterUseMiddleOutTransform,
+			vsCodeLmModelSelector,
 		} = apiConfiguration
 		await this.updateGlobalState("apiProvider", apiProvider)
 		await this.updateGlobalState("apiModelId", apiModelId)
@@ -1047,6 +981,7 @@ export class ClineProvider implements vscode.WebviewViewProvider {
 		await this.updateGlobalState("openRouterModelId", openRouterModelId)
 		await this.updateGlobalState("openRouterModelInfo", openRouterModelInfo)
 		await this.updateGlobalState("openRouterUseMiddleOutTransform", openRouterUseMiddleOutTransform)
+		await this.updateGlobalState("vsCodeLmModelSelector", vsCodeLmModelSelector)
 		if (this.cline) {
 			this.cline.api = buildApiHandler(apiConfiguration)
 		} 

src/extension.ts

@@ -36,7 +36,7 @@ export function activate(context: vscode.ExtensionContext) {
 		context.globalState.update('allowedCommands', defaultCommands);
 	}
 
-	const sidebarProvider = new ClineProvider(context, outputChannel);
+	const sidebarProvider = new ClineProvider(context, outputChannel)
 
 	context.subscriptions.push(
 		vscode.window.registerWebviewViewProvider(ClineProvider.sideBarId, sidebarProvider, {

src/shared/ExtensionMessage.ts

@@ -7,7 +7,6 @@ import { GitCommit } from "../utils/git"
 
 // webview will hold state
 export interface ExtensionMessage {
-
 	type:
 		| "action"
 		| "state"
@@ -26,15 +25,15 @@ export interface ExtensionMessage {
 		| "commitSearchResults"
 		| "listApiConfig"
 		| "vsCodeLmModels"
-	    | "vsCodeLmApiAvailable"
-	    | "requestVsCodeLmModels"
+		| "vsCodeLmApiAvailable"
+		| "requestVsCodeLmModels"
 	text?: string
 	action?:
-	| "chatButtonClicked"
-	| "mcpButtonClicked"
-	| "settingsButtonClicked"
-	| "historyButtonClicked"
-	| "didBecomeVisible"
+		| "chatButtonClicked"
+		| "mcpButtonClicked"
+		| "settingsButtonClicked"
+		| "historyButtonClicked"
+		| "didBecomeVisible"
 	invoke?: "sendMessage" | "primaryButtonClick" | "secondaryButtonClick"
 	state?: ExtensionState
 	images?: string[]
@@ -131,14 +130,14 @@ export type ClineSay =
 
 export interface ClineSayTool {
 	tool:
-	| "editedExistingFile"
-	| "appliedDiff"
-	| "newFileCreated"
-	| "readFile"
-	| "listFilesTopLevel"
-	| "listFilesRecursive"
-	| "listCodeDefinitionNames"
-	| "searchFiles"
+		| "editedExistingFile"
+		| "appliedDiff"
+		| "newFileCreated"
+		| "readFile"
+		| "listFilesTopLevel"
+		| "listFilesRecursive"
+		| "listCodeDefinitionNames"
+		| "searchFiles"
 	path?: string
 	diff?: string
 	content?: string

src/shared/api.ts

@@ -65,7 +65,7 @@ export interface ModelInfo {
 	contextWindow: number
 	supportsImages?: boolean
 	supportsComputerUse?: boolean
-	supportsPromptCache: boolean
+	supportsPromptCache: boolean // this value is hardcoded for now
 	inputPrice?: number
 	outputPrice?: number
 	cacheWritesPrice?: number
@@ -124,24 +124,24 @@ export const anthropicModels = {
 // AWS Bedrock
 // https://docs.aws.amazon.com/bedrock/latest/userguide/conversation-inference.html
 export interface MessageContent {
-	type: 'text' | 'image' | 'video' | 'tool_use' | 'tool_result';
-	text?: string;
-	source?: {
-		type: 'base64';
-		data: string | Uint8Array; // string for Anthropic, Uint8Array for Bedrock
-		media_type: 'image/jpeg' | 'image/png' | 'image/gif' | 'image/webp';
-	};
-	// Video specific fields
-	format?: string;
-	s3Location?: {
-		uri: string;
-		bucketOwner?: string;
-	};
-	// Tool use and result fields
-	toolUseId?: string;
-	name?: string;
-	input?: any;
-	output?: any; // Used for tool_result type
+    type: 'text' | 'image' | 'video' | 'tool_use' | 'tool_result';
+    text?: string;
+    source?: {
+        type: 'base64';
+        data: string | Uint8Array; // string for Anthropic, Uint8Array for Bedrock
+        media_type: 'image/jpeg' | 'image/png' | 'image/gif' | 'image/webp';
+    };
+    // Video specific fields
+    format?: string;
+    s3Location?: {
+        uri: string;
+        bucketOwner?: string;
+    };
+    // Tool use and result fields
+    toolUseId?: string;
+    name?: string;
+    input?: any;
+    output?: any; // Used for tool_result type
 }
 
 export type BedrockModelId = keyof typeof bedrockModels
@@ -235,7 +235,7 @@ export const bedrockModels = {
 		inputPrice: 0.25,
 		outputPrice: 1.25,
 	},
-	"meta.llama3-2-90b-instruct-v1:0": {
+	"meta.llama3-2-90b-instruct-v1:0" : {
 		maxTokens: 8192,
 		contextWindow: 128_000,
 		supportsImages: true,
@@ -244,7 +244,7 @@ export const bedrockModels = {
 		inputPrice: 0.72,
 		outputPrice: 0.72,
 	},
-	"meta.llama3-2-11b-instruct-v1:0": {
+	"meta.llama3-2-11b-instruct-v1:0" : {
 		maxTokens: 8192,
 		contextWindow: 128_000,
 		supportsImages: true,
@@ -253,7 +253,7 @@ export const bedrockModels = {
 		inputPrice: 0.16,
 		outputPrice: 0.16,
 	},
-	"meta.llama3-2-3b-instruct-v1:0": {
+	"meta.llama3-2-3b-instruct-v1:0" : {
 		maxTokens: 8192,
 		contextWindow: 128_000,
 		supportsImages: false,
@@ -262,7 +262,7 @@ export const bedrockModels = {
 		inputPrice: 0.15,
 		outputPrice: 0.15,
 	},
-	"meta.llama3-2-1b-instruct-v1:0": {
+	"meta.llama3-2-1b-instruct-v1:0" : {
 		maxTokens: 8192,
 		contextWindow: 128_000,
 		supportsImages: false,
@@ -271,7 +271,7 @@ export const bedrockModels = {
 		inputPrice: 0.1,
 		outputPrice: 0.1,
 	},
-	"meta.llama3-1-405b-instruct-v1:0": {
+	"meta.llama3-1-405b-instruct-v1:0" : {
 		maxTokens: 8192,
 		contextWindow: 128_000,
 		supportsImages: false,
@@ -280,7 +280,7 @@ export const bedrockModels = {
 		inputPrice: 2.4,
 		outputPrice: 2.4,
 	},
-	"meta.llama3-1-70b-instruct-v1:0": {
+	"meta.llama3-1-70b-instruct-v1:0" : {
 		maxTokens: 8192,
 		contextWindow: 128_000,
 		supportsImages: false,
@@ -289,7 +289,7 @@ export const bedrockModels = {
 		inputPrice: 0.72,
 		outputPrice: 0.72,
 	},
-	"meta.llama3-1-8b-instruct-v1:0": {
+	"meta.llama3-1-8b-instruct-v1:0" : {
 		maxTokens: 8192,
 		contextWindow: 8_000,
 		supportsImages: false,
@@ -298,8 +298,8 @@ export const bedrockModels = {
 		inputPrice: 0.22,
 		outputPrice: 0.22,
 	},
-	"meta.llama3-70b-instruct-v1:0": {
-		maxTokens: 2048,
+	"meta.llama3-70b-instruct-v1:0" : {
+		maxTokens: 2048 ,
 		contextWindow: 8_000,
 		supportsImages: false,
 		supportsComputerUse: false,
@@ -307,8 +307,8 @@ export const bedrockModels = {
 		inputPrice: 2.65,
 		outputPrice: 3.5,
 	},
-	"meta.llama3-8b-instruct-v1:0": {
-		maxTokens: 2048,
+	"meta.llama3-8b-instruct-v1:0" : {
+		maxTokens: 2048 ,
 		contextWindow: 4_000,
 		supportsImages: false,
 		supportsComputerUse: false,
@@ -548,3 +548,4 @@ export const deepSeekModels = {
 // https://learn.microsoft.com/en-us/azure/ai-services/openai/api-version-deprecation
 // https://learn.microsoft.com/en-us/azure/ai-services/openai/reference#api-specs
 export const azureOpenAiDefaultApiVersion = "2024-08-01-preview"
+

src/shared/vsCodeSelectorUtils.ts

@@ -3,12 +3,12 @@ import { LanguageModelChatSelector } from 'vscode';
 export const SELECTOR_SEPARATOR = '/';
 
 export function stringifyVsCodeLmModelSelector(selector: LanguageModelChatSelector): string {
-    return [
-        selector.vendor,
-        selector.family,
-        selector.version,
-        selector.id
-    ]
-        .filter(Boolean)
-        .join(SELECTOR_SEPARATOR);
+	return [
+		selector.vendor,
+		selector.family,
+		selector.version,
+		selector.id
+	]
+		.filter(Boolean)
+		.join(SELECTOR_SEPARATOR);
 }