Anthropic: Bump it up! (RooCodeInc#1938)

* Updated Anthropic SDK and fixed types

* adjust export markdown handling

* adjust export markdown handling

* added changeset

Author: celestial-vault

.changeset/silver-hotels-reflect.md

@@ -0,0 +1,5 @@
+---
+"claude-dev": minor
+---
+
+Update anthropic SDK to the latest version

package-lock.json

@@ -237,8 +237,8 @@
 		"typescript": "^5.4.5"
 	},
 	"dependencies": {
-		"@anthropic-ai/bedrock-sdk": "^0.10.2",
-		"@anthropic-ai/sdk": "^0.26.0",
+		"@anthropic-ai/bedrock-sdk": "^0.12.4",
+		"@anthropic-ai/sdk": "^0.37.0",
 		"@anthropic-ai/vertex-sdk": "^0.4.1",
 		"@google/generative-ai": "^0.18.0",
 		"@mistralai/mistralai": "^1.5.0",

package.json

@@ -20,7 +20,7 @@ export class AnthropicHandler implements ApiHandler {
 	@withRetry()
 	async *createMessage(systemPrompt: string, messages: Anthropic.Messages.MessageParam[]): ApiStream {
 		const model = this.getModel()
-		let stream: AnthropicStream<Anthropic.Beta.PromptCaching.Messages.RawPromptCachingBetaMessageStreamEvent>
+		let stream: AnthropicStream<Anthropic.RawMessageStreamEvent>
 		const modelId = model.id
 		switch (modelId) {
 			// 'latest' alias does not support cache_control
@@ -38,7 +38,7 @@ export class AnthropicHandler implements ApiHandler {
 				)
 				const lastUserMsgIndex = userMsgIndices[userMsgIndices.length - 1] ?? -1
 				const secondLastMsgUserIndex = userMsgIndices[userMsgIndices.length - 2] ?? -1
-				stream = await this.client.beta.promptCaching.messages.create(
+				stream = await this.client.messages.create(
 					{
 						model: modelId,
 						max_tokens: model.info.maxTokens || 8192,

src/api/providers/anthropic.ts

@@ -11,16 +11,7 @@ import {
 	TextPart,
 } from "@google/generative-ai"
 
-export function convertAnthropicContentToGemini(
-	content:
-		| string
-		| Array<
-				| Anthropic.Messages.TextBlockParam
-				| Anthropic.Messages.ImageBlockParam
-				| Anthropic.Messages.ToolUseBlockParam
-				| Anthropic.Messages.ToolResultBlockParam
-		  >,
-): Part[] {
+export function convertAnthropicContentToGemini(content: string | Anthropic.ContentBlockParam[]): Part[] {
 	if (typeof content === "string") {
 		return [{ text: content } as TextPart]
 	}
@@ -133,7 +124,7 @@ export function convertGeminiResponseToAnthropic(response: EnhancedGenerateConte
 	// Add the main text response
 	const text = response.text()
 	if (text) {
-		content.push({ type: "text", text })
+		content.push({ type: "text", text, citations: null })
 	}
 
 	// Add function calls as tool_use blocks
@@ -183,6 +174,8 @@ export function convertGeminiResponseToAnthropic(response: EnhancedGenerateConte
 		usage: {
 			input_tokens: response.usageMetadata?.promptTokenCount ?? 0,
 			output_tokens: response.usageMetadata?.candidatesTokenCount ?? 0,
+			cache_creation_input_tokens: null,
+			cache_read_input_tokens: null,
 		},
 	}
 }

src/api/transform/gemini-format.ts

@@ -376,6 +376,7 @@ export function convertO1ResponseToAnthropicMessage(
 			{
 				type: "text",
 				text: normalText,
+				citations: null,
 			},
 		],
 		model: completion.model,
@@ -396,6 +397,8 @@ export function convertO1ResponseToAnthropicMessage(
 		usage: {
 			input_tokens: completion.usage?.prompt_tokens || 0,
 			output_tokens: completion.usage?.completion_tokens || 0,
+			cache_creation_input_tokens: null,
+			cache_read_input_tokens: null,
 		},
 	}
 

src/api/transform/o1-format.ts

@@ -161,6 +161,7 @@ export function convertToAnthropicMessage(completion: OpenAI.Chat.Completions.Ch
 			{
 				type: "text",
 				text: openAiMessage.content || "",
+				citations: null,
 			},
 		],
 		model: completion.model,
@@ -181,6 +182,8 @@ export function convertToAnthropicMessage(completion: OpenAI.Chat.Completions.Ch
 		usage: {
 			input_tokens: completion.usage?.prompt_tokens || 0,
 			output_tokens: completion.usage?.completion_tokens || 0,
+			cache_creation_input_tokens: null,
+			cache_read_input_tokens: null,
 		},
 	}
 

src/api/transform/openai-format.ts

@@ -175,6 +175,7 @@ export async function convertToAnthropicMessage(
 					return {
 						type: "text",
 						text: part.value,
+						citations: null,
 					}
 				}
 
@@ -195,6 +196,8 @@ export async function convertToAnthropicMessage(
 		usage: {
 			input_tokens: 0,
 			output_tokens: 0,
+			cache_creation_input_tokens: null,
+			cache_read_input_tokens: null,
 		},
 	}
 }

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

@@ -63,9 +63,7 @@ import { ClineProvider, GlobalFileNames } from "./webview/ClineProvider"
 const cwd = vscode.workspace.workspaceFolders?.map((folder) => folder.uri.fsPath).at(0) ?? path.join(os.homedir(), "Desktop") // may or may not exist but fs checking existence would immediately ask for permission which would be bad UX, need to come up with a better solution
 
 type ToolResponse = string | Array<Anthropic.TextBlockParam | Anthropic.ImageBlockParam>
-type UserContent = Array<
-	Anthropic.TextBlockParam | Anthropic.ImageBlockParam | Anthropic.ToolUseBlockParam | Anthropic.ToolResultBlockParam
->
+type UserContent = Array<Anthropic.ContentBlockParam>
 
 export class Cline {
 	readonly taskId: string

src/core/Cline.ts

@@ -35,21 +35,29 @@ export async function downloadTask(dateTs: number, conversationHistory: Anthropi
 	})
 
 	if (saveUri) {
-		// Write content to the selected location
-		await vscode.workspace.fs.writeFile(saveUri, Buffer.from(markdownContent))
-		vscode.window.showTextDocument(saveUri, { preview: true })
+		try {
+			// Write content to the selected location
+			await vscode.workspace.fs.writeFile(saveUri, new TextEncoder().encode(markdownContent))
+			vscode.window.showTextDocument(saveUri, { preview: true })
+		} catch (error) {
+			vscode.window.showErrorMessage(
+				`Failed to save markdown file: ${error instanceof Error ? error.message : String(error)}`,
+			)
+		}
 	}
 }
 
 export function formatContentBlockToMarkdown(
-	block: Anthropic.TextBlockParam | Anthropic.ImageBlockParam | Anthropic.ToolUseBlockParam | Anthropic.ToolResultBlockParam,
+	block: Anthropic.ContentBlockParam,
 	// messages: Anthropic.MessageParam[]
 ): string {
 	switch (block.type) {
 		case "text":
 			return block.text
 		case "image":
 			return `[Image]`
+		case "document":
+			return `[Document]`
 		case "tool_use":
 			let input: string
 			if (typeof block.input === "object" && block.input !== null) {