mirror of
https://github.com/pacnpal/Roo-Code.git
synced 2025-12-20 12:21:13 -05:00
Add OpenAI provider
This commit is contained in:
@@ -7,6 +7,7 @@ import { VertexHandler } from "./vertex"
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import { OpenAiHandler } from "./openai"
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import { OllamaHandler } from "./ollama"
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import { GeminiHandler } from "./gemini"
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import { OpenAiNativeHandler } from "./openai-native"
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export interface ApiHandlerMessageResponse {
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message: Anthropic.Messages.Message
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@@ -40,6 +41,8 @@ export function buildApiHandler(configuration: ApiConfiguration): ApiHandler {
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return new OllamaHandler(options)
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case "gemini":
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return new GeminiHandler(options)
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case "openai-native":
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return new OpenAiNativeHandler(options)
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default:
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return new AnthropicHandler(options)
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}
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65
src/api/openai-native.ts
Normal file
65
src/api/openai-native.ts
Normal file
@@ -0,0 +1,65 @@
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import { Anthropic } from "@anthropic-ai/sdk"
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import OpenAI from "openai"
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import { ApiHandler, ApiHandlerMessageResponse } from "."
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import {
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ApiHandlerOptions,
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ModelInfo,
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openAiNativeDefaultModelId,
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OpenAiNativeModelId,
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openAiNativeModels,
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} from "../shared/api"
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import { convertToAnthropicMessage, convertToOpenAiMessages } from "../utils/openai-format"
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export class OpenAiNativeHandler implements ApiHandler {
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private options: ApiHandlerOptions
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private client: OpenAI
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constructor(options: ApiHandlerOptions) {
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this.options = options
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this.client = new OpenAI({
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apiKey: this.options.openAiNativeApiKey,
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})
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}
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async createMessage(
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systemPrompt: string,
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messages: Anthropic.Messages.MessageParam[],
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tools: Anthropic.Messages.Tool[]
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): Promise<ApiHandlerMessageResponse> {
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const openAiMessages: OpenAI.Chat.ChatCompletionMessageParam[] = [
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{ role: "system", content: systemPrompt },
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...convertToOpenAiMessages(messages),
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]
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const openAiTools: OpenAI.Chat.ChatCompletionTool[] = tools.map((tool) => ({
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type: "function",
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function: {
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name: tool.name,
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description: tool.description,
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parameters: tool.input_schema,
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},
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}))
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const createParams: OpenAI.Chat.Completions.ChatCompletionCreateParamsNonStreaming = {
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model: this.getModel().id,
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max_tokens: this.getModel().info.maxTokens,
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messages: openAiMessages,
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tools: openAiTools,
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tool_choice: "auto",
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}
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const completion = await this.client.chat.completions.create(createParams)
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const errorMessage = (completion as any).error?.message
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if (errorMessage) {
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throw new Error(errorMessage)
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}
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const anthropicMessage = convertToAnthropicMessage(completion)
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return { message: anthropicMessage }
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}
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getModel(): { id: OpenAiNativeModelId; info: ModelInfo } {
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const modelId = this.options.apiModelId
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if (modelId && modelId in openAiNativeModels) {
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const id = modelId as OpenAiNativeModelId
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return { id, info: openAiNativeModels[id] }
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}
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return { id: openAiNativeDefaultModelId, info: openAiNativeModels[openAiNativeDefaultModelId] }
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}
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}
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@@ -26,6 +26,7 @@ type SecretKey =
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| "awsSessionToken"
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| "openAiApiKey"
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| "geminiApiKey"
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| "openAiNativeApiKey"
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type GlobalStateKey =
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| "apiProvider"
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| "apiModelId"
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@@ -337,6 +338,7 @@ export class ClaudeDevProvider implements vscode.WebviewViewProvider {
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ollamaBaseUrl,
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anthropicBaseUrl,
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geminiApiKey,
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openAiNativeApiKey,
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} = message.apiConfiguration
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await this.updateGlobalState("apiProvider", apiProvider)
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await this.updateGlobalState("apiModelId", apiModelId)
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@@ -355,6 +357,7 @@ export class ClaudeDevProvider implements vscode.WebviewViewProvider {
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await this.updateGlobalState("ollamaBaseUrl", ollamaBaseUrl)
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await this.updateGlobalState("anthropicBaseUrl", anthropicBaseUrl)
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await this.storeSecret("geminiApiKey", geminiApiKey)
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await this.storeSecret("openAiNativeApiKey", openAiNativeApiKey)
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this.claudeDev?.updateApi(message.apiConfiguration)
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}
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await this.postStateToWebview()
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@@ -677,6 +680,7 @@ export class ClaudeDevProvider implements vscode.WebviewViewProvider {
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ollamaBaseUrl,
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anthropicBaseUrl,
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geminiApiKey,
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openAiNativeApiKey,
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lastShownAnnouncementId,
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customInstructions,
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alwaysAllowReadOnly,
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@@ -699,6 +703,7 @@ export class ClaudeDevProvider implements vscode.WebviewViewProvider {
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this.getGlobalState("ollamaBaseUrl") as Promise<string | undefined>,
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this.getGlobalState("anthropicBaseUrl") as Promise<string | undefined>,
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this.getSecret("geminiApiKey") as Promise<string | undefined>,
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this.getSecret("openAiNativeApiKey") as Promise<string | undefined>,
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this.getGlobalState("lastShownAnnouncementId") as Promise<string | undefined>,
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this.getGlobalState("customInstructions") as Promise<string | undefined>,
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this.getGlobalState("alwaysAllowReadOnly") as Promise<boolean | undefined>,
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@@ -738,6 +743,7 @@ export class ClaudeDevProvider implements vscode.WebviewViewProvider {
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ollamaBaseUrl,
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anthropicBaseUrl,
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geminiApiKey,
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openAiNativeApiKey,
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},
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lastShownAnnouncementId,
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customInstructions,
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@@ -817,6 +823,7 @@ export class ClaudeDevProvider implements vscode.WebviewViewProvider {
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"awsSessionToken",
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"openAiApiKey",
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"geminiApiKey",
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"openAiNativeApiKey",
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]
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for (const key of secretKeys) {
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await this.storeSecret(key, undefined)
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@@ -1,4 +1,12 @@
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export type ApiProvider = "anthropic" | "openrouter" | "bedrock" | "vertex" | "openai" | "ollama" | "gemini"
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export type ApiProvider =
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| "anthropic"
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| "openrouter"
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| "bedrock"
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| "vertex"
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| "openai"
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| "ollama"
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| "gemini"
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| "openai-native"
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export interface ApiHandlerOptions {
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apiModelId?: string
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@@ -17,6 +25,7 @@ export interface ApiHandlerOptions {
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ollamaModelId?: string
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ollamaBaseUrl?: string
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geminiApiKey?: string
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openAiNativeApiKey?: string
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}
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export type ApiConfiguration = ApiHandlerOptions & {
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@@ -334,3 +343,42 @@ export const geminiModels = {
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outputPrice: 0,
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},
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} as const satisfies Record<string, ModelInfo>
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// OpenAI Native
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// https://openai.com/api/pricing/
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export type OpenAiNativeModelId = keyof typeof openAiNativeModels
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export const openAiNativeDefaultModelId: OpenAiNativeModelId = "o1-preview"
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export const openAiNativeModels = {
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"o1-preview": {
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maxTokens: 32_768,
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contextWindow: 128_000,
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supportsImages: true,
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supportsPromptCache: false,
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inputPrice: 15,
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outputPrice: 60,
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},
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"o1-mini": {
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maxTokens: 65_536,
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contextWindow: 128_000,
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supportsImages: true,
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supportsPromptCache: false,
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inputPrice: 3,
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outputPrice: 12,
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},
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"gpt-4o": {
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maxTokens: 4_096,
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contextWindow: 128_000,
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supportsImages: true,
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supportsPromptCache: false,
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inputPrice: 5,
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outputPrice: 15,
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},
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"gpt-4o-mini": {
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maxTokens: 16_384,
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contextWindow: 128_000,
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supportsImages: true,
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supportsPromptCache: false,
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inputPrice: 0.15,
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outputPrice: 0.6,
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},
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} as const satisfies Record<string, ModelInfo>
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@@ -12,6 +12,7 @@ import { useEvent, useInterval } from "react-use"
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import {
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ApiConfiguration,
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ModelInfo,
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OpenAiNativeModelId,
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anthropicDefaultModelId,
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anthropicModels,
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bedrockDefaultModelId,
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@@ -19,6 +20,8 @@ import {
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geminiDefaultModelId,
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geminiModels,
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openAiModelInfoSaneDefaults,
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openAiNativeDefaultModelId,
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openAiNativeModels,
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openRouterDefaultModelId,
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openRouterModels,
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vertexDefaultModelId,
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@@ -112,10 +115,11 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage }: ApiOptionsProps) => {
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onChange={handleInputChange("apiProvider")}
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style={{ minWidth: 130 }}>
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<VSCodeOption value="anthropic">Anthropic</VSCodeOption>
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<VSCodeOption value="openai-native">OpenAI</VSCodeOption>
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<VSCodeOption value="openrouter">OpenRouter</VSCodeOption>
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<VSCodeOption value="gemini">Google Gemini</VSCodeOption>
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<VSCodeOption value="bedrock">AWS Bedrock</VSCodeOption>
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<VSCodeOption value="vertex">GCP Vertex AI</VSCodeOption>
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<VSCodeOption value="gemini">Google Gemini</VSCodeOption>
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<VSCodeOption value="openai">OpenAI Compatible</VSCodeOption>
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<VSCodeOption value="ollama">Ollama</VSCodeOption>
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</VSCodeDropdown>
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@@ -174,6 +178,34 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage }: ApiOptionsProps) => {
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</div>
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)}
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{selectedProvider === "openai-native" && (
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<div>
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<VSCodeTextField
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value={apiConfiguration?.openAiNativeApiKey || ""}
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style={{ width: "100%" }}
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type="password"
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onInput={handleInputChange("openAiNativeApiKey")}
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placeholder="Enter API Key...">
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<span style={{ fontWeight: 500 }}>OpenAI API Key</span>
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</VSCodeTextField>
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<p
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style={{
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fontSize: "12px",
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marginTop: 3,
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color: "var(--vscode-descriptionForeground)",
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}}>
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This key is stored locally and only used to make API requests from this extension.
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{!apiConfiguration?.openAiNativeApiKey && (
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<VSCodeLink
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href="https://platform.openai.com/api-keys"
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style={{ display: "inline", fontSize: "inherit" }}>
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You can get an OpenAI API key by signing up here.
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</VSCodeLink>
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)}
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</p>
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</div>
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)}
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{selectedProvider === "openrouter" && (
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<div>
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<VSCodeTextField
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@@ -490,6 +522,7 @@ const ApiOptions = ({ showModelOptions, apiErrorMessage }: ApiOptionsProps) => {
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{selectedProvider === "bedrock" && createDropdown(bedrockModels)}
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{selectedProvider === "vertex" && createDropdown(vertexModels)}
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{selectedProvider === "gemini" && createDropdown(geminiModels)}
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{selectedProvider === "openai-native" && createDropdown(openAiNativeModels)}
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</div>
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<ModelInfoView selectedModelId={selectedModelId} modelInfo={selectedModelInfo} />
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@@ -514,6 +547,7 @@ export const formatPrice = (price: number) => {
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const ModelInfoView = ({ selectedModelId, modelInfo }: { selectedModelId: string; modelInfo: ModelInfo }) => {
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const isGemini = Object.keys(geminiModels).includes(selectedModelId)
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const isO1 = (["o1-preview", "o1-mini"] as OpenAiNativeModelId[]).includes(selectedModelId as OpenAiNativeModelId)
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return (
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<p style={{ fontSize: "12px", marginTop: "2px", color: "var(--vscode-descriptionForeground)" }}>
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<ModelInfoSupportsItem
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@@ -533,32 +567,33 @@ const ModelInfoView = ({ selectedModelId, modelInfo }: { selectedModelId: string
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</>
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)}
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<span style={{ fontWeight: 500 }}>Max output:</span> {modelInfo?.maxTokens?.toLocaleString()} tokens
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<br />
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{modelInfo.inputPrice > 0 && (
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<>
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<br />
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<span style={{ fontWeight: 500 }}>Input price:</span> {formatPrice(modelInfo.inputPrice)}/million
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tokens
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<br />
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</>
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)}
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{modelInfo.supportsPromptCache && modelInfo.cacheWritesPrice && modelInfo.cacheReadsPrice && (
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<>
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<br />
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<span style={{ fontWeight: 500 }}>Cache writes price:</span>{" "}
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{formatPrice(modelInfo.cacheWritesPrice || 0)}/million tokens
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<br />
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<span style={{ fontWeight: 500 }}>Cache reads price:</span>{" "}
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{formatPrice(modelInfo.cacheReadsPrice || 0)}/million tokens
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<br />
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</>
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)}
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{modelInfo.outputPrice > 0 && (
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<>
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<br />
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<span style={{ fontWeight: 500 }}>Output price:</span> {formatPrice(modelInfo.outputPrice)}/million
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tokens
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</>
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)}
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{isGemini && (
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<>
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<br />
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<span
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style={{
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fontStyle: "italic",
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@@ -573,6 +608,17 @@ const ModelInfoView = ({ selectedModelId, modelInfo }: { selectedModelId: string
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</span>
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</>
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)}
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{isO1 && (
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<>
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<br />
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<span
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style={{
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fontStyle: "italic",
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}}>
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* This model is newly released and may not be accessible to all users yet.
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</span>
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</>
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)}
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</p>
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)
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}
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@@ -632,6 +678,8 @@ export function normalizeApiConfiguration(apiConfiguration?: ApiConfiguration) {
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return getProviderData(vertexModels, vertexDefaultModelId)
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case "gemini":
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return getProviderData(geminiModels, geminiDefaultModelId)
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case "openai-native":
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return getProviderData(openAiNativeModels, openAiNativeDefaultModelId)
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case "openai":
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return {
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selectedProvider: provider,
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@@ -41,6 +41,7 @@ export const ExtensionStateContextProvider: React.FC<{ children: React.ReactNode
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config.openAiApiKey,
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config.ollamaModelId,
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config.geminiApiKey,
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config.openAiNativeApiKey,
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].some((key) => key !== undefined)
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: false
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setShowWelcome(!hasKey)
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@@ -28,6 +28,11 @@ export function validateApiConfiguration(apiConfiguration?: ApiConfiguration): s
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return "You must provide a valid API key or choose a different provider."
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}
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break
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case "openai-native":
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if (!apiConfiguration.openAiNativeApiKey) {
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return "You must provide a valid API key or choose a different provider."
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}
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break
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case "openai":
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if (
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!apiConfiguration.openAiBaseUrl ||
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Reference in New Issue
Block a user