mirror of
https://github.com/DayuanJiang/next-ai-draw-io.git
synced 2026-09-02 01:20:23 +08:00
a9ffd6a1de
- Add MiniMax-M3 to the model selection list (set as new default at top) - Retain MiniMax-M2.7 and MiniMax-M2.7-highspeed - Remove deprecated MiniMax-M2.5 / M2.5-highspeed - Update supportsImageInput: M3 supports image input (M2.x stay text-only) - Update unit tests to reflect new model lineup - Update example AI_MODEL in CN/EN/JA docs to MiniMax-M3 Co-authored-by: octo-patch <octo-patch@github.com>
442 lines
13 KiB
TypeScript
442 lines
13 KiB
TypeScript
// Types for multi-provider model configuration
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export type ProviderName =
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| "openai"
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| "anthropic"
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| "google"
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| "vertexai"
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| "azure"
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| "bedrock"
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| "ollama"
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| "openrouter"
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| "deepseek"
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| "siliconflow"
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| "sglang"
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| "gateway"
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| "edgeone"
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| "doubao"
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| "modelscope"
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| "glm"
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| "qwen"
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| "qiniu"
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| "kimi"
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| "minimax"
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| "novita"
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// Individual model configuration
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export interface ModelConfig {
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id: string // UUID for this model
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modelId: string // e.g., "gpt-4o", "claude-sonnet-4-5"
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validated?: boolean // Has this model been validated
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validationError?: string // Error message if validation failed
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}
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// Provider configuration
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export interface ProviderConfig {
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id: string // UUID for this provider config
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provider: ProviderName
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name?: string // Custom display name (e.g., "OpenAI Production")
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apiKey: string
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baseUrl?: string
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// AWS Bedrock specific fields
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awsAccessKeyId?: string
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awsSecretAccessKey?: string
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awsRegion?: string
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awsSessionToken?: string // Optional, for temporary credentials
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// Vertex AI specific fields
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vertexApiKey?: string // Express Mode API key
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models: ModelConfig[]
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validated?: boolean // Has API key been validated
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}
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// The complete multi-model configuration
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export interface MultiModelConfig {
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version: 1
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providers: ProviderConfig[]
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selectedModelId?: string // Currently selected model's UUID
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showUnvalidatedModels?: boolean // Show models that haven't been validated
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}
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// Flattened model for dropdown display
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export interface FlattenedModel {
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id: string // Model config UUID or synthetic server ID (e.g., "server:provider:modelId")
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modelId: string // Actual model ID
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provider: ProviderName
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providerLabel: string // Provider display name
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apiKey: string
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baseUrl?: string
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// AWS Bedrock specific fields
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awsAccessKeyId?: string
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awsSecretAccessKey?: string
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awsRegion?: string
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awsSessionToken?: string
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// Vertex AI specific fields
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vertexApiKey?: string // Express Mode API key
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validated?: boolean // Has this model been validated
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// Source of this model config: user-defined (client) or server-defined
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source?: "user" | "server"
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// Whether this model is the server default (matches AI_MODEL env var)
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isDefault?: boolean
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// Custom env var name(s) for server models
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// Can be a single string or array of strings for load balancing
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apiKeyEnv?: string | string[]
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baseUrlEnv?: string
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}
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// Map provider names to models.dev logo names
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export const PROVIDER_LOGO_MAP: Record<string, string> = {
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openai: "openai",
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anthropic: "anthropic",
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google: "google",
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azure: "azure",
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bedrock: "amazon-bedrock",
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openrouter: "openrouter",
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deepseek: "deepseek",
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siliconflow: "siliconflow",
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sglang: "openai", // SGLang is OpenAI-compatible
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gateway: "vercel",
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edgeone: "tencent-cloud",
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vertexai: "google",
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doubao: "bytedance",
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modelscope: "modelscope",
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minimax: "minimax",
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novita: "novita",
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}
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// Provider metadata
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export const PROVIDER_INFO: Record<
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ProviderName,
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{ label: string; defaultBaseUrl?: string }
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> = {
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openai: {
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label: "OpenAI",
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defaultBaseUrl: "https://api.openai.com/v1",
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},
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anthropic: {
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label: "Anthropic",
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defaultBaseUrl: "https://api.anthropic.com/v1",
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},
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google: {
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label: "Google",
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defaultBaseUrl: "https://generativelanguage.googleapis.com/v1beta",
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},
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vertexai: { label: "Google Vertex AI" },
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azure: {
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label: "Azure OpenAI",
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defaultBaseUrl: "https://your-resource.openai.azure.com/openai",
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},
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bedrock: { label: "Amazon Bedrock" },
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ollama: {
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label: "Ollama",
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defaultBaseUrl: "https://ollama.com/api",
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},
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openrouter: {
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label: "OpenRouter",
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defaultBaseUrl: "https://openrouter.ai/api/v1",
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},
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deepseek: {
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label: "DeepSeek",
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defaultBaseUrl: "https://api.deepseek.com/v1",
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},
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siliconflow: {
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label: "SiliconFlow",
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defaultBaseUrl: "https://api.siliconflow.cn/v1",
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},
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sglang: {
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label: "SGLang",
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defaultBaseUrl: "http://127.0.0.1:8000/v1",
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},
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gateway: {
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label: "AI Gateway",
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defaultBaseUrl: "https://ai-gateway.vercel.sh/v1/ai",
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},
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edgeone: { label: "EdgeOne Pages" },
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doubao: {
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label: "Doubao (ByteDance)",
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defaultBaseUrl: "https://ark.cn-beijing.volces.com/api/v3",
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},
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modelscope: {
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label: "ModelScope",
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defaultBaseUrl: "https://api-inference.modelscope.cn/v1",
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},
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glm: {
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label: "GLM (Zhipu)",
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defaultBaseUrl: "https://open.bigmodel.cn/api/paas/v4",
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},
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qwen: {
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label: "Qwen (Alibaba)",
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defaultBaseUrl: "https://dashscope.aliyuncs.com/compatible-mode/v1",
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},
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qiniu: {
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label: "Qiniu",
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defaultBaseUrl: "https://api.qnaigc.com/v1",
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},
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kimi: {
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label: "Kimi (Moonshot)",
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defaultBaseUrl: "https://api.moonshot.cn/v1",
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},
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minimax: {
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label: "MiniMax",
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defaultBaseUrl: "https://api.minimaxi.com/anthropic",
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},
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novita: {
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label: "Novita AI",
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defaultBaseUrl: "https://api.novita.ai/openai",
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},
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}
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// Suggested models per provider for quick add
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export const SUGGESTED_MODELS: Partial<Record<ProviderName, string[]>> = {
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openai: [
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"gpt-5.2-pro",
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"gpt-5.2-chat-latest",
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"gpt-5.2",
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"gpt-5.1-codex-mini",
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"gpt-5.1-codex",
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"gpt-5.1-chat-latest",
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"gpt-5.1",
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"gpt-5-pro",
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"gpt-5",
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"gpt-5-mini",
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"gpt-5-nano",
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"gpt-5-codex",
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"gpt-5-chat-latest",
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"gpt-4.1",
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"gpt-4.1-mini",
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"gpt-4.1-nano",
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"gpt-4o",
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"gpt-4o-mini",
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],
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anthropic: [
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// Claude 4.5 series (latest)
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"claude-opus-4-5-20250514",
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"claude-sonnet-4-5-20250514",
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// Claude 4 series
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"claude-opus-4-20250514",
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"claude-sonnet-4-20250514",
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// Claude 3.7 series
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"claude-3-7-sonnet-20250219",
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// Claude 3.5 series
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"claude-3-5-sonnet-20241022",
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"claude-3-5-haiku-20241022",
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// Claude 3 series
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"claude-3-opus-20240229",
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"claude-3-sonnet-20240229",
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"claude-3-haiku-20240307",
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],
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google: [
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// Gemini 2.5 series
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"gemini-2.5-pro",
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"gemini-2.5-flash",
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"gemini-2.5-flash-preview-05-20",
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// Gemini 2.0 series
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"gemini-2.0-flash",
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"gemini-2.0-flash-exp",
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"gemini-2.0-flash-lite",
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// Gemini 1.5 series
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"gemini-1.5-pro",
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"gemini-1.5-flash",
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// Legacy
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"gemini-pro",
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],
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vertexai: [
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// Gemini 2.5 series
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"gemini-2.5-pro",
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"gemini-2.5-flash",
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// Gemini 2.0 series
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"gemini-2.0-flash",
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"gemini-2.0-flash-exp",
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// Gemini 1.5 series
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"gemini-1.5-pro",
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"gemini-1.5-flash",
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],
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azure: ["gpt-4o", "gpt-4o-mini", "gpt-4-turbo", "gpt-4", "gpt-35-turbo"],
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bedrock: [
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// Anthropic Claude
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"anthropic.claude-opus-4-5-20250514-v1:0",
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"anthropic.claude-sonnet-4-5-20250514-v1:0",
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"anthropic.claude-opus-4-20250514-v1:0",
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"anthropic.claude-sonnet-4-20250514-v1:0",
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"anthropic.claude-3-7-sonnet-20250219-v1:0",
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"anthropic.claude-3-5-sonnet-20241022-v2:0",
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"anthropic.claude-3-5-haiku-20241022-v1:0",
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"anthropic.claude-3-opus-20240229-v1:0",
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"anthropic.claude-3-sonnet-20240229-v1:0",
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"anthropic.claude-3-haiku-20240307-v1:0",
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// Amazon Nova
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"amazon.nova-pro-v1:0",
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"amazon.nova-lite-v1:0",
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"amazon.nova-micro-v1:0",
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// Meta Llama
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"meta.llama3-3-70b-instruct-v1:0",
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"meta.llama3-1-405b-instruct-v1:0",
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"meta.llama3-1-70b-instruct-v1:0",
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// Mistral
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"mistral.mistral-large-2411-v1:0",
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"mistral.mistral-small-2503-v1:0",
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],
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openrouter: [
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// Anthropic
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"anthropic/claude-sonnet-4",
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"anthropic/claude-opus-4",
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"anthropic/claude-3.5-sonnet",
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"anthropic/claude-3.5-haiku",
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// OpenAI
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"openai/gpt-4o",
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"openai/gpt-4o-mini",
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"openai/o1",
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"openai/o3-mini",
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// Google
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"google/gemini-2.5-pro",
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"google/gemini-2.5-flash",
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"google/gemini-2.0-flash-exp:free",
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// Meta Llama
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"meta-llama/llama-3.3-70b-instruct",
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"meta-llama/llama-3.1-405b-instruct",
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"meta-llama/llama-3.1-70b-instruct",
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// DeepSeek
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"deepseek/deepseek-chat",
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"deepseek/deepseek-r1",
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// Qwen
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"qwen/qwen-2.5-72b-instruct",
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],
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deepseek: ["deepseek-chat", "deepseek-reasoner", "deepseek-coder"],
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siliconflow: [
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// DeepSeek
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"deepseek-ai/DeepSeek-V3",
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"deepseek-ai/DeepSeek-R1",
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"deepseek-ai/DeepSeek-V2.5",
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// Qwen
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"Qwen/Qwen2.5-72B-Instruct",
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"Qwen/Qwen2.5-32B-Instruct",
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"Qwen/Qwen2.5-Coder-32B-Instruct",
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"Qwen/Qwen2.5-7B-Instruct",
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"Qwen/Qwen2-VL-72B-Instruct",
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"qwen3.5-plus",
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],
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sglang: [
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// SGLang is OpenAI-compatible, models depend on deployment
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"default",
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],
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gateway: [
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"openai/gpt-4o",
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"openai/gpt-4o-mini",
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"anthropic/claude-sonnet-4-5",
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"anthropic/claude-3-5-sonnet",
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"google/gemini-2.0-flash",
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],
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edgeone: ["@tx/deepseek-ai/deepseek-v32"],
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doubao: [
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// ByteDance Doubao models
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"doubao-1.5-thinking-pro-250415",
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"doubao-1.5-thinking-pro-m-250428",
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"doubao-1.5-pro-32k-250115",
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"doubao-1.5-pro-256k-250115",
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"doubao-pro-32k-241215",
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"doubao-pro-256k-241215",
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],
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modelscope: [
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// Qwen
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"Qwen/Qwen2.5-72B-Instruct",
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"Qwen/Qwen2.5-32B-Instruct",
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"Qwen/Qwen3-235B-A22B-Instruct-2507",
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"Qwen/Qwen3-VL-235B-A22B-Instruct",
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"Qwen/Qwen3-32B",
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"qwen3.5-plus",
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// DeepSeek
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"deepseek-ai/DeepSeek-R1-0528",
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"deepseek-ai/DeepSeek-V3.2",
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],
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minimax: [
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// MiniMax models (Anthropic-compatible API)
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"MiniMax-M3",
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"MiniMax-M2.7",
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"MiniMax-M2.7-highspeed",
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],
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novita: [
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// Novita AI models (OpenAI-compatible API)
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"moonshotai/kimi-k2.5",
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"zai-org/glm-5",
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"minimax/minimax-m2.5",
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],
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}
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// Helper to generate UUID
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export function generateId(): string {
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return `${Date.now()}-${Math.random().toString(36).slice(2, 9)}`
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}
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// Create empty config
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export function createEmptyConfig(): MultiModelConfig {
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return {
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version: 1,
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providers: [],
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selectedModelId: undefined,
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}
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}
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// Create new provider config
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export function createProviderConfig(provider: ProviderName): ProviderConfig {
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return {
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id: generateId(),
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provider,
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apiKey: "",
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baseUrl: PROVIDER_INFO[provider].defaultBaseUrl,
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models: [],
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validated: false,
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}
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}
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// Create new model config
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export function createModelConfig(modelId: string): ModelConfig {
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return {
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id: generateId(),
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modelId,
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}
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}
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// Get all models as flattened list for dropdown (user-defined only)
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export function flattenModels(config: MultiModelConfig): FlattenedModel[] {
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const models: FlattenedModel[] = []
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for (const provider of config.providers) {
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// Use custom name if provided, otherwise use default provider label
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const providerLabel =
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provider.name || PROVIDER_INFO[provider.provider].label
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for (const model of provider.models) {
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models.push({
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id: model.id,
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modelId: model.modelId,
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provider: provider.provider,
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providerLabel,
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apiKey: provider.apiKey,
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baseUrl: provider.baseUrl,
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// AWS Bedrock fields
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awsAccessKeyId: provider.awsAccessKeyId,
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awsSecretAccessKey: provider.awsSecretAccessKey,
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awsRegion: provider.awsRegion,
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awsSessionToken: provider.awsSessionToken,
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// Vertex AI fields
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vertexApiKey: provider.vertexApiKey,
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validated: model.validated,
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source: "user",
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isDefault: false,
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})
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}
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}
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return models
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}
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// Find model by ID
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export function findModelById(
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config: MultiModelConfig,
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modelId: string,
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): FlattenedModel | undefined {
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return flattenModels(config).find((m) => m.id === modelId)
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}
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