feat: add AI SDK dependencies and message conversion utilities (#11047)

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Daniel 2026-01-28 14:05:53 -05:00 committed by GitHub
parent f5004ac40a
commit fe722dad23
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6 changed files with 918 additions and 75 deletions

View file

@ -66,7 +66,8 @@
"bluebird": ">=3.7.2",
"glob": ">=11.1.0",
"@types/react": "^18.3.23",
"@types/react-dom": "^18.3.5"
"@types/react-dom": "^18.3.5",
"zod": "3.25.76"
}
}
}

View file

@ -23,7 +23,7 @@
"clean": "rimraf dist .turbo"
},
"dependencies": {
"zod": "^3.25.61"
"zod": "3.25.76"
},
"devDependencies": {
"@roo-code/config-eslint": "workspace:^",

209
pnpm-lock.yaml generated
View file

@ -14,6 +14,7 @@ overrides:
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zod: 3.25.76
importers:
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@ -303,8 +304,8 @@ importers:
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@ -377,7 +378,7 @@ importers:
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@ -489,7 +490,7 @@ importers:
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@ -703,8 +704,8 @@ importers:
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@ -1013,9 +1017,6 @@ importers:
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zod: 3.25.76
ajv@6.12.6:
dependencies:
fast-deep-equal: 3.1.3
@ -15232,7 +15306,7 @@ snapshots:
dependencies:
devtools-protocol: 0.0.1367902
mitt: 3.0.1
zod: 3.23.8
zod: 3.25.76
chromium-bidi@5.1.0(devtools-protocol@0.0.1452169):
dependencies:
@ -15910,9 +15984,10 @@ snapshots:
transitivePeerDependencies:
- supports-color
drizzle-orm@0.44.1(@libsql/client@0.15.8)(better-sqlite3@11.10.0)(gel@2.1.0)(postgres@3.4.7):
drizzle-orm@0.44.1(@libsql/client@0.15.8)(@opentelemetry/api@1.9.0)(better-sqlite3@11.10.0)(gel@2.1.0)(postgres@3.4.7):
optionalDependencies:
'@libsql/client': 0.15.8
'@opentelemetry/api': 1.9.0
better-sqlite3: 11.10.0
gel: 2.1.0
postgres: 3.4.7
@ -16387,6 +16462,8 @@ snapshots:
eventsource-parser@3.0.2: {}
eventsource-parser@3.0.6: {}
eventsource@3.0.7:
dependencies:
eventsource-parser: 3.0.2
@ -17689,6 +17766,8 @@ snapshots:
json-schema-traverse@0.4.1: {}
json-schema@0.4.0: {}
json-stable-stringify-without-jsonify@1.0.1: {}
json-stream-stringify@3.1.6: {}
@ -18740,20 +18819,20 @@ snapshots:
netmask@2.0.2: {}
next-sitemap@4.2.3(next@15.2.8(react-dom@18.3.1(react@18.3.1))(react@18.3.1)):
next-sitemap@4.2.3(next@15.2.8(@opentelemetry/api@1.9.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)):
dependencies:
'@corex/deepmerge': 4.0.43
'@next/env': 13.5.11
fast-glob: 3.3.3
minimist: 1.2.8
next: 15.2.8(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
next: 15.2.8(@opentelemetry/api@1.9.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
next-themes@0.4.6(react-dom@18.3.1(react@18.3.1))(react@18.3.1):
dependencies:
react: 18.3.1
react-dom: 18.3.1(react@18.3.1)
next@15.2.8(react-dom@18.3.1(react@18.3.1))(react@18.3.1):
next@15.2.8(@opentelemetry/api@1.9.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1):
dependencies:
'@next/env': 15.2.8
'@swc/counter': 0.1.3
@ -18773,6 +18852,7 @@ snapshots:
'@next/swc-linux-x64-musl': 15.2.5
'@next/swc-win32-arm64-msvc': 15.2.5
'@next/swc-win32-x64-msvc': 15.2.5
'@opentelemetry/api': 1.9.0
sharp: 0.33.5
transitivePeerDependencies:
- '@babel/core'
@ -18945,11 +19025,6 @@ snapshots:
is-inside-container: 1.0.0
is-wsl: 3.1.0
openai@5.12.2(ws@8.18.3)(zod@3.25.61):
optionalDependencies:
ws: 8.18.3
zod: 3.25.61
openai@5.12.2(ws@8.18.3)(zod@3.25.76):
optionalDependencies:
ws: 8.18.3
@ -21785,27 +21860,19 @@ snapshots:
compress-commons: 6.0.2
readable-stream: 4.7.0
zod-to-json-schema@3.24.5(zod@3.25.61):
dependencies:
zod: 3.25.61
zod-to-json-schema@3.24.5(zod@3.25.76):
dependencies:
zod: 3.25.76
zod-to-ts@1.2.0(typescript@5.8.3)(zod@3.25.61):
zod-to-ts@1.2.0(typescript@5.8.3)(zod@3.25.76):
dependencies:
typescript: 5.8.3
zod: 3.25.61
zod: 3.25.76
zod-validation-error@3.4.1(zod@3.25.76):
dependencies:
zod: 3.25.76
zod@3.23.8: {}
zod@3.25.61: {}
zod@3.25.76: {}
zustand@5.0.9(@types/react@18.3.23)(react@19.2.3):

View file

@ -0,0 +1,492 @@
import { Anthropic } from "@anthropic-ai/sdk"
import OpenAI from "openai"
import { convertToAiSdkMessages, convertToolsForAiSdk, processAiSdkStreamPart } from "../ai-sdk"
vitest.mock("ai", () => ({
tool: vitest.fn((t) => t),
jsonSchema: vitest.fn((s) => s),
}))
describe("AI SDK conversion utilities", () => {
describe("convertToAiSdkMessages", () => {
it("converts simple string messages", () => {
const messages: Anthropic.Messages.MessageParam[] = [
{ role: "user", content: "Hello" },
{ role: "assistant", content: "Hi there" },
]
const result = convertToAiSdkMessages(messages)
expect(result).toHaveLength(2)
expect(result[0]).toEqual({ role: "user", content: "Hello" })
expect(result[1]).toEqual({ role: "assistant", content: "Hi there" })
})
it("converts user messages with text content blocks", () => {
const messages: Anthropic.Messages.MessageParam[] = [
{
role: "user",
content: [{ type: "text", text: "Hello world" }],
},
]
const result = convertToAiSdkMessages(messages)
expect(result).toHaveLength(1)
expect(result[0]).toEqual({
role: "user",
content: [{ type: "text", text: "Hello world" }],
})
})
it("converts user messages with image content", () => {
const messages: Anthropic.Messages.MessageParam[] = [
{
role: "user",
content: [
{ type: "text", text: "What is in this image?" },
{
type: "image",
source: {
type: "base64",
media_type: "image/png",
data: "base64encodeddata",
},
},
],
},
]
const result = convertToAiSdkMessages(messages)
expect(result).toHaveLength(1)
expect(result[0]).toEqual({
role: "user",
content: [
{ type: "text", text: "What is in this image?" },
{
type: "image",
image: "data:image/png;base64,base64encodeddata",
mimeType: "image/png",
},
],
})
})
it("converts user messages with URL image content", () => {
const messages: Anthropic.Messages.MessageParam[] = [
{
role: "user",
content: [
{ type: "text", text: "What is in this image?" },
{
type: "image",
source: {
type: "url",
url: "https://example.com/image.png",
},
} as any,
],
},
]
const result = convertToAiSdkMessages(messages)
expect(result).toHaveLength(1)
expect(result[0]).toEqual({
role: "user",
content: [
{ type: "text", text: "What is in this image?" },
{
type: "image",
image: "https://example.com/image.png",
},
],
})
})
it("converts tool results into separate tool role messages with resolved tool names", () => {
const messages: Anthropic.Messages.MessageParam[] = [
{
role: "assistant",
content: [
{
type: "tool_use",
id: "call_123",
name: "read_file",
input: { path: "test.ts" },
},
],
},
{
role: "user",
content: [
{
type: "tool_result",
tool_use_id: "call_123",
content: "Tool result content",
},
],
},
]
const result = convertToAiSdkMessages(messages)
expect(result).toHaveLength(2)
expect(result[0]).toEqual({
role: "assistant",
content: [
{
type: "tool-call",
toolCallId: "call_123",
toolName: "read_file",
input: { path: "test.ts" },
},
],
})
// Tool results now go to role: "tool" messages per AI SDK v6 schema
expect(result[1]).toEqual({
role: "tool",
content: [
{
type: "tool-result",
toolCallId: "call_123",
toolName: "read_file",
output: { type: "text", value: "Tool result content" },
},
],
})
})
it("uses unknown_tool for tool results without matching tool call", () => {
const messages: Anthropic.Messages.MessageParam[] = [
{
role: "user",
content: [
{
type: "tool_result",
tool_use_id: "call_orphan",
content: "Orphan result",
},
],
},
]
const result = convertToAiSdkMessages(messages)
expect(result).toHaveLength(1)
// Tool results go to role: "tool" messages
expect(result[0]).toEqual({
role: "tool",
content: [
{
type: "tool-result",
toolCallId: "call_orphan",
toolName: "unknown_tool",
output: { type: "text", value: "Orphan result" },
},
],
})
})
it("separates tool results and text content into different messages", () => {
const messages: Anthropic.Messages.MessageParam[] = [
{
role: "assistant",
content: [
{
type: "tool_use",
id: "call_123",
name: "read_file",
input: { path: "test.ts" },
},
],
},
{
role: "user",
content: [
{
type: "tool_result",
tool_use_id: "call_123",
content: "File contents here",
},
{
type: "text",
text: "Please analyze this file",
},
],
},
]
const result = convertToAiSdkMessages(messages)
expect(result).toHaveLength(3)
expect(result[0]).toEqual({
role: "assistant",
content: [
{
type: "tool-call",
toolCallId: "call_123",
toolName: "read_file",
input: { path: "test.ts" },
},
],
})
// Tool results go first in a "tool" message
expect(result[1]).toEqual({
role: "tool",
content: [
{
type: "tool-result",
toolCallId: "call_123",
toolName: "read_file",
output: { type: "text", value: "File contents here" },
},
],
})
// Text content goes in a separate "user" message
expect(result[2]).toEqual({
role: "user",
content: [{ type: "text", text: "Please analyze this file" }],
})
})
it("converts assistant messages with tool use", () => {
const messages: Anthropic.Messages.MessageParam[] = [
{
role: "assistant",
content: [
{ type: "text", text: "Let me read that file" },
{
type: "tool_use",
id: "call_456",
name: "read_file",
input: { path: "test.ts" },
},
],
},
]
const result = convertToAiSdkMessages(messages)
expect(result).toHaveLength(1)
expect(result[0]).toEqual({
role: "assistant",
content: [
{ type: "text", text: "Let me read that file" },
{
type: "tool-call",
toolCallId: "call_456",
toolName: "read_file",
input: { path: "test.ts" },
},
],
})
})
it("handles empty assistant content", () => {
const messages: Anthropic.Messages.MessageParam[] = [
{
role: "assistant",
content: [],
},
]
const result = convertToAiSdkMessages(messages)
expect(result).toHaveLength(1)
expect(result[0]).toEqual({
role: "assistant",
content: [{ type: "text", text: "" }],
})
})
})
describe("convertToolsForAiSdk", () => {
it("returns undefined for empty tools", () => {
expect(convertToolsForAiSdk(undefined)).toBeUndefined()
expect(convertToolsForAiSdk([])).toBeUndefined()
})
it("converts function tools to AI SDK format", () => {
const tools: OpenAI.Chat.ChatCompletionTool[] = [
{
type: "function",
function: {
name: "read_file",
description: "Read a file from disk",
parameters: {
type: "object",
properties: {
path: { type: "string", description: "File path" },
},
required: ["path"],
},
},
},
]
const result = convertToolsForAiSdk(tools)
expect(result).toBeDefined()
expect(result!.read_file).toBeDefined()
expect(result!.read_file.description).toBe("Read a file from disk")
})
it("converts multiple tools", () => {
const tools: OpenAI.Chat.ChatCompletionTool[] = [
{
type: "function",
function: {
name: "read_file",
description: "Read a file",
parameters: {},
},
},
{
type: "function",
function: {
name: "write_file",
description: "Write a file",
parameters: {},
},
},
]
const result = convertToolsForAiSdk(tools)
expect(result).toBeDefined()
expect(Object.keys(result!)).toHaveLength(2)
expect(result!.read_file).toBeDefined()
expect(result!.write_file).toBeDefined()
})
})
describe("processAiSdkStreamPart", () => {
it("processes text-delta chunks", () => {
const part = { type: "text-delta" as const, id: "1", text: "Hello" }
const chunks = [...processAiSdkStreamPart(part)]
expect(chunks).toHaveLength(1)
expect(chunks[0]).toEqual({ type: "text", text: "Hello" })
})
it("processes text chunks (fullStream format)", () => {
const part = { type: "text" as const, text: "Hello from fullStream" }
const chunks = [...processAiSdkStreamPart(part as any)]
expect(chunks).toHaveLength(1)
expect(chunks[0]).toEqual({ type: "text", text: "Hello from fullStream" })
})
it("processes reasoning-delta chunks", () => {
const part = { type: "reasoning-delta" as const, id: "1", text: "thinking..." }
const chunks = [...processAiSdkStreamPart(part)]
expect(chunks).toHaveLength(1)
expect(chunks[0]).toEqual({ type: "reasoning", text: "thinking..." })
})
it("processes reasoning chunks (fullStream format)", () => {
const part = { type: "reasoning" as const, text: "reasoning from fullStream" }
const chunks = [...processAiSdkStreamPart(part as any)]
expect(chunks).toHaveLength(1)
expect(chunks[0]).toEqual({ type: "reasoning", text: "reasoning from fullStream" })
})
it("processes tool-input-start chunks", () => {
const part = { type: "tool-input-start" as const, id: "call_1", toolName: "read_file" }
const chunks = [...processAiSdkStreamPart(part)]
expect(chunks).toHaveLength(1)
expect(chunks[0]).toEqual({ type: "tool_call_start", id: "call_1", name: "read_file" })
})
it("processes tool-input-delta chunks", () => {
const part = { type: "tool-input-delta" as const, id: "call_1", delta: '{"path":' }
const chunks = [...processAiSdkStreamPart(part)]
expect(chunks).toHaveLength(1)
expect(chunks[0]).toEqual({ type: "tool_call_delta", id: "call_1", delta: '{"path":' })
})
it("processes tool-input-end chunks", () => {
const part = { type: "tool-input-end" as const, id: "call_1" }
const chunks = [...processAiSdkStreamPart(part)]
expect(chunks).toHaveLength(1)
expect(chunks[0]).toEqual({ type: "tool_call_end", id: "call_1" })
})
it("processes complete tool-call chunks", () => {
const part = {
type: "tool-call" as const,
toolCallId: "call_1",
toolName: "read_file",
input: { path: "test.ts" },
}
const chunks = [...processAiSdkStreamPart(part)]
expect(chunks).toHaveLength(1)
expect(chunks[0]).toEqual({
type: "tool_call",
id: "call_1",
name: "read_file",
arguments: '{"path":"test.ts"}',
})
})
it("processes source chunks with URL", () => {
const part = {
type: "source" as const,
url: "https://example.com",
title: "Example Source",
}
const chunks = [...processAiSdkStreamPart(part as any)]
expect(chunks).toHaveLength(1)
expect(chunks[0]).toEqual({
type: "grounding",
sources: [
{
title: "Example Source",
url: "https://example.com",
snippet: undefined,
},
],
})
})
it("processes error chunks", () => {
const part = { type: "error" as const, error: new Error("Test error") }
const chunks = [...processAiSdkStreamPart(part)]
expect(chunks).toHaveLength(1)
expect(chunks[0]).toEqual({
type: "error",
error: "StreamError",
message: "Test error",
})
})
it("ignores lifecycle events", () => {
const lifecycleEvents = [
{ type: "text-start" as const },
{ type: "text-end" as const },
{ type: "reasoning-start" as const },
{ type: "reasoning-end" as const },
{ type: "start-step" as const },
{ type: "finish-step" as const },
{ type: "start" as const },
{ type: "finish" as const },
{ type: "abort" as const },
]
for (const event of lifecycleEvents) {
const chunks = [...processAiSdkStreamPart(event as any)]
expect(chunks).toHaveLength(0)
}
})
})
})

282
src/api/transform/ai-sdk.ts Normal file
View file

@ -0,0 +1,282 @@
/**
* AI SDK conversion utilities for transforming between Anthropic/OpenAI formats and Vercel AI SDK formats.
* These utilities are designed to be reused across different AI SDK providers.
*/
import { Anthropic } from "@anthropic-ai/sdk"
import OpenAI from "openai"
import { tool as createTool, jsonSchema, type ModelMessage, type TextStreamPart } from "ai"
import type { ApiStreamChunk } from "./stream"
/**
* Convert Anthropic messages to AI SDK ModelMessage format.
* Handles text, images, tool uses, and tool results.
*
* @param messages - Array of Anthropic message parameters
* @returns Array of AI SDK ModelMessage objects
*/
export function convertToAiSdkMessages(messages: Anthropic.Messages.MessageParam[]): ModelMessage[] {
const modelMessages: ModelMessage[] = []
// First pass: build a map of tool call IDs to tool names from assistant messages
const toolCallIdToName = new Map<string, string>()
for (const message of messages) {
if (message.role === "assistant" && typeof message.content !== "string") {
for (const part of message.content) {
if (part.type === "tool_use") {
toolCallIdToName.set(part.id, part.name)
}
}
}
}
for (const message of messages) {
if (typeof message.content === "string") {
modelMessages.push({
role: message.role,
content: message.content,
})
} else {
if (message.role === "user") {
const parts: Array<
{ type: "text"; text: string } | { type: "image"; image: string; mimeType?: string }
> = []
const toolResults: Array<{
type: "tool-result"
toolCallId: string
toolName: string
output: { type: "text"; value: string }
}> = []
for (const part of message.content) {
if (part.type === "text") {
parts.push({ type: "text", text: part.text })
} else if (part.type === "image") {
// Handle both base64 and URL source types
const source = part.source as { type: string; media_type?: string; data?: string; url?: string }
if (source.type === "base64" && source.media_type && source.data) {
parts.push({
type: "image",
image: `data:${source.media_type};base64,${source.data}`,
mimeType: source.media_type,
})
} else if (source.type === "url" && source.url) {
parts.push({
type: "image",
image: source.url,
})
}
} else if (part.type === "tool_result") {
// Convert tool results to string content
let content: string
if (typeof part.content === "string") {
content = part.content
} else {
content =
part.content
?.map((c) => {
if (c.type === "text") return c.text
if (c.type === "image") return "(image)"
return ""
})
.join("\n") ?? ""
}
// Look up the tool name from the tool call ID
const toolName = toolCallIdToName.get(part.tool_use_id) ?? "unknown_tool"
toolResults.push({
type: "tool-result",
toolCallId: part.tool_use_id,
toolName,
output: { type: "text", value: content || "(empty)" },
})
}
}
// AI SDK requires tool results in separate "tool" role messages
// UserContent only supports: string | Array<TextPart | ImagePart | FilePart>
// ToolContent (for role: "tool") supports: Array<ToolResultPart | ToolApprovalResponse>
if (toolResults.length > 0) {
modelMessages.push({
role: "tool",
content: toolResults,
} as ModelMessage)
}
// Add user message with only text/image content (no tool results)
if (parts.length > 0) {
modelMessages.push({
role: "user",
content: parts,
} as ModelMessage)
}
} else if (message.role === "assistant") {
const textParts: string[] = []
const toolCalls: Array<{
type: "tool-call"
toolCallId: string
toolName: string
input: unknown
}> = []
for (const part of message.content) {
if (part.type === "text") {
textParts.push(part.text)
} else if (part.type === "tool_use") {
toolCalls.push({
type: "tool-call",
toolCallId: part.id,
toolName: part.name,
input: part.input,
})
}
}
const content: Array<
| { type: "text"; text: string }
| { type: "tool-call"; toolCallId: string; toolName: string; input: unknown }
> = []
if (textParts.length > 0) {
content.push({ type: "text", text: textParts.join("\n") })
}
content.push(...toolCalls)
modelMessages.push({
role: "assistant",
content: content.length > 0 ? content : [{ type: "text", text: "" }],
} as ModelMessage)
}
}
}
return modelMessages
}
/**
* Convert OpenAI-style function tool definitions to AI SDK tool format.
*
* @param tools - Array of OpenAI tool definitions
* @returns Record of AI SDK tools keyed by tool name, or undefined if no tools
*/
export function convertToolsForAiSdk(
tools: OpenAI.Chat.ChatCompletionTool[] | undefined,
): Record<string, ReturnType<typeof createTool>> | undefined {
if (!tools || tools.length === 0) {
return undefined
}
const toolSet: Record<string, ReturnType<typeof createTool>> = {}
for (const t of tools) {
if (t.type === "function") {
toolSet[t.function.name] = createTool({
description: t.function.description,
inputSchema: jsonSchema(t.function.parameters as any),
})
}
}
return toolSet
}
/**
* Extended stream part type that includes additional fullStream event types
* that are emitted at runtime but not included in the AI SDK TextStreamPart type definitions.
*/
type ExtendedStreamPart = TextStreamPart<any> | { type: "text"; text: string } | { type: "reasoning"; text: string }
/**
* Process a single AI SDK stream part and yield the appropriate ApiStreamChunk(s).
* This generator handles all TextStreamPart types and converts them to the
* ApiStreamChunk format used by the application.
*
* @param part - The AI SDK TextStreamPart to process (including fullStream event types)
* @yields ApiStreamChunk objects corresponding to the stream part
*/
export function* processAiSdkStreamPart(part: ExtendedStreamPart): Generator<ApiStreamChunk> {
switch (part.type) {
case "text":
case "text-delta":
yield { type: "text", text: (part as { text: string }).text }
break
case "reasoning":
case "reasoning-delta":
yield { type: "reasoning", text: (part as { text: string }).text }
break
case "tool-input-start":
yield {
type: "tool_call_start",
id: part.id,
name: part.toolName,
}
break
case "tool-input-delta":
yield {
type: "tool_call_delta",
id: part.id,
delta: part.delta,
}
break
case "tool-input-end":
yield {
type: "tool_call_end",
id: part.id,
}
break
case "tool-call":
// Complete tool call - emit for compatibility
yield {
type: "tool_call",
id: part.toolCallId,
name: part.toolName,
arguments: typeof part.input === "string" ? part.input : JSON.stringify(part.input),
}
break
case "source":
// Handle both URL and document source types
if ("url" in part) {
yield {
type: "grounding",
sources: [
{
title: part.title || "Source",
url: part.url,
snippet: undefined,
},
],
}
}
break
case "error":
yield {
type: "error",
error: "StreamError",
message: part.error instanceof Error ? part.error.message : String(part.error),
}
break
// Ignore lifecycle events that don't need to yield chunks
case "text-start":
case "text-end":
case "reasoning-start":
case "reasoning-end":
case "start-step":
case "finish-step":
case "start":
case "finish":
case "abort":
case "file":
case "tool-result":
case "tool-error":
case "raw":
// These events don't need to be yielded
break
}
}

View file

@ -529,9 +529,10 @@
"web-tree-sitter": "^0.25.6",
"workerpool": "^9.2.0",
"yaml": "^2.8.0",
"zod": "3.25.61"
"zod": "3.25.76"
},
"devDependencies": {
"@openrouter/ai-sdk-provider": "^2.0.4",
"@roo-code/build": "workspace:^",
"@roo-code/config-eslint": "workspace:^",
"@roo-code/config-typescript": "workspace:^",
@ -540,7 +541,6 @@
"@types/diff": "^5.2.1",
"@types/diff-match-patch": "^1.0.36",
"@types/glob": "^8.1.0",
"@types/json-stream-stringify": "^2.0.4",
"@types/lodash.debounce": "^4.0.9",
"@types/mocha": "^10.0.10",
"@types/node": "20.x",
@ -557,6 +557,7 @@
"@types/vscode": "^1.84.0",
"@vscode/test-electron": "^2.5.2",
"@vscode/vsce": "3.3.2",
"ai": "^6.0.0",
"esbuild-wasm": "^0.25.0",
"execa": "^9.5.2",
"glob": "^11.1.0",