Files
next-ai-draw-io/lib/types/model-config.ts
T
dayuan.jiang f811242568 refactor(providers): the UI, the connection test and the routes read the record's fields
Step 5 of the provider refactor plan. Provider names gave way to the
record's credential and sdk fields in: hasCredentials (one rule per
credential kind), the connection test (an Object.hasOwn check first, then a
credential switch; EdgeOne's site endpoint and cookie forwarding follow
credential none), the chat route (the on-site function and the single-system
rule for the OpenAI SDK), the credentials form (which fields to show, the
optional-key label, the base URL hint from the record), the picker (the note
from the record), the logo (icon and logo fields), the settings dialog (test
blocker, error hints, EdgeOne origin), the admin panel (fixedCredentials),
chatRequestUrl (sdk), the model list (sdk aihubmix) and the zod schema
(Object.hasOwn instead of 'in'). The eight provider-specific dictionary
entries moved into the record as four-language objects; needAzure became a
generic needUrl.

Two intended behavior changes: the connection test answers 400 'Invalid
provider' for an unknown name whether or not a key is sent (before: 400
'API key is required' without a key, 200 with an error text with one); and
Azure has no placeholder default URL any more, so a new Azure entry starts
with an empty URL and the generic 'needs a URL' rule applies. The e2e
Azure test seeds no URL and expects the new wording. Out-of-layer
provider-name checks: 44 before, 6 after (the admin panel's fixed-variable
branches for Bedrock, Vertex AI and Ollama, kept on purpose). Behavior
snapshot unchanged.
2026-10-12 21:17:51 +09:00

457 lines
14 KiB
TypeScript

// Types for multi-provider model configuration
import { PROVIDER_NAMES, PROVIDERS, type ProviderName } from "@/lib/providers"
// The provider record, under the name the rest of the app imports it by
export {
type ModelListStyle,
PROVIDERS as PROVIDER_INFO,
type ProviderName,
} from "@/lib/providers"
// Individual model configuration
export interface ModelConfig {
id: string // UUID for this model
modelId: string // e.g., "gpt-4o", "claude-sonnet-4-5"
validated?: boolean // Has this model been validated
validationError?: string // Error message if validation failed
validationWarning?: string // Passed, but e.g. did not call a tool
responseTime?: number // Milliseconds the last test took
}
// Provider configuration
export interface ProviderConfig {
id: string // UUID for this provider config
provider: ProviderName
name?: string // Custom display name (e.g., "OpenAI Production")
apiKey: string
baseUrl?: string
// AWS Bedrock specific fields
awsAccessKeyId?: string
awsSecretAccessKey?: string
awsRegion?: string
awsSessionToken?: string // Optional, for temporary credentials
// Vertex AI specific fields
vertexApiKey?: string // Express Mode API key
models: ModelConfig[]
}
// The complete multi-model configuration
export interface MultiModelConfig {
version: 1
providers: ProviderConfig[]
selectedModelId?: string // Currently selected model's UUID
}
// Flattened model for dropdown display
export interface FlattenedModel {
id: string // Model config UUID or synthetic server ID (e.g., "server:provider:modelId")
modelId: string // Actual model ID
provider: ProviderName
providerLabel: string // Provider display name
apiKey: string
baseUrl?: string
// AWS Bedrock specific fields
awsAccessKeyId?: string
awsSecretAccessKey?: string
awsRegion?: string
awsSessionToken?: string
// Vertex AI specific fields
vertexApiKey?: string // Express Mode API key
validated?: boolean // Has this model been validated
// Source of this model config: user-defined (client) or server-defined
source?: "user" | "server"
// Whether this model is the server default (matches AI_MODEL env var)
isDefault?: boolean
}
// Providers whose server credentials live in fixed env vars
// (AWS_ACCESS_KEY_ID, GOOGLE_VERTEX_API_KEY, OLLAMA_API_KEY) with no
// apiKeyEnv redirection support: their credentials are global
export const FIXED_CRED_PROVIDERS: ProviderName[] = PROVIDER_NAMES.filter(
(p) => PROVIDERS[p].fixedCredentials,
)
// models.dev logo names that differ from the provider name
export const PROVIDER_LOGO_MAP: Record<string, string> = Object.fromEntries(
PROVIDER_NAMES.flatMap((p) => {
const logo = PROVIDERS[p].logo
return logo ? [[p, logo]] : []
}),
)
// Suggested models per provider for quick add
export const SUGGESTED_MODELS: Partial<Record<ProviderName, string[]>> = {
openai: [
"gpt-6.1-sol",
"gpt-6-sol",
"gpt-6-luna",
"gpt-6-astra",
"gpt-5.5-pro",
"gpt-5.5",
"gpt-5.4-pro",
"gpt-5.4",
"gpt-5.4-mini",
"gpt-5.4-nano",
"gpt-5-codex-mini",
"gpt-4.1",
"gpt-4.1-mini",
"gpt-4o",
"gpt-4o-mini",
],
anthropic: [
// Claude 5 series (latest)
"claude-opus-5-5",
"claude-sonnet-5-5",
"claude-fable-5-1",
"claude-opus-5",
"claude-sonnet-5",
// Claude 4.8 / 4.7 / 4.6 series (dateless pinned IDs)
"claude-opus-4-8",
"claude-sonnet-4-6",
"claude-haiku-4-5",
"claude-opus-4-7",
"claude-opus-4-6",
// Claude 4.5 series
"claude-sonnet-4-5-20250929",
"claude-opus-4-5-20251101",
// Claude 3.7 series
"claude-3-7-sonnet-20250219",
// Claude 3.5 series
"claude-3-5-sonnet-20241022",
"claude-3-5-haiku-20241022",
],
google: [
// Gemini 3 series
"gemini-3.1-pro",
"gemini-3.5-flash",
"gemini-3-flash",
"gemini-3.1-flash-lite",
// Gemini 2.5 series
"gemini-2.5-pro",
"gemini-2.5-flash",
"gemini-2.5-flash-lite",
],
vertexai: [
// Gemini 3 series
"gemini-3.1-pro-preview",
"gemini-3.5-flash",
"gemini-3-flash-preview",
"gemini-3.1-flash-lite",
// Gemini 2.5 series
"gemini-2.5-pro",
"gemini-2.5-flash",
"gemini-2.5-flash-lite",
],
azure: [
"gpt-5.5",
"gpt-5.4",
"gpt-5.1",
"gpt-5",
"gpt-5-mini",
"gpt-4.1",
"gpt-4o",
"gpt-4o-mini",
"o3",
"o4-mini",
],
// Newer models only answer through an inference profile id (the region
// prefix). Each id here was called once on 2026-10-04.
bedrock: [
// Anthropic Claude ("global." works from any region)
"global.anthropic.claude-opus-5-5",
"global.anthropic.claude-sonnet-5-5",
"global.anthropic.claude-fable-5-1",
"global.anthropic.claude-opus-5",
"global.anthropic.claude-sonnet-5",
"global.anthropic.claude-opus-4-8",
"global.anthropic.claude-opus-4-7",
"global.anthropic.claude-sonnet-4-6",
"global.anthropic.claude-opus-4-6-v1",
"global.anthropic.claude-opus-4-5-20251101-v1:0",
"global.anthropic.claude-sonnet-4-5-20250929-v1:0",
"global.anthropic.claude-haiku-4-5-20251001-v1:0",
"global.anthropic.claude-sonnet-4-20250514-v1:0",
// Amazon Nova
"us.amazon.nova-2-lite-v1:0",
"amazon.nova-pro-v1:0",
"amazon.nova-lite-v1:0",
"amazon.nova-micro-v1:0",
// Meta Llama
"us.meta.llama4-maverick-17b-instruct-v1:0",
"us.meta.llama4-scout-17b-instruct-v1:0",
"us.meta.llama3-3-70b-instruct-v1:0",
// Mistral
"mistral.mistral-large-3-675b-instruct",
"us.mistral.pixtral-large-2502-v1:0",
],
openrouter: [
// Anthropic
"anthropic/claude-opus-5.5",
"anthropic/claude-sonnet-5.5",
"anthropic/claude-fable-5.1",
"anthropic/claude-opus-4.8",
"anthropic/claude-sonnet-4.6",
"anthropic/claude-haiku-4.5",
// OpenAI
"openai/gpt-6.1-sol",
"openai/gpt-6-luna",
"openai/gpt-5.5",
"openai/gpt-5.4",
"openai/gpt-5.4-mini",
"openai/gpt-4o-mini",
// Google
"google/gemini-3.1-pro-preview",
"google/gemini-3.5-flash",
"google/gemini-2.5-flash-lite",
// xAI
"x-ai/grok-4.3",
// Meta Llama
"meta-llama/llama-4-maverick",
"meta-llama/llama-4-scout",
"meta-llama/llama-3.3-70b-instruct",
// DeepSeek
"deepseek/deepseek-v4-pro",
"deepseek/deepseek-v3.2",
// Qwen
"qwen/qwen3.7-max",
"qwen/qwen3-coder",
// MiniMax
"minimax/minimax-m3",
],
aihubmix: [
// Fallback list. The settings UI loads the live model list from AIHubMix when available.
// Anthropic Claude
"claude-fable-5",
"claude-opus-4-8",
"claude-sonnet-4-6",
// OpenAI
"gpt-5.5",
"gpt-5.5-pro",
"gpt-5.4",
// Google Gemini
"gemini-3.5-flash",
"gemini-3.1-pro-preview",
"gemini-3-flash-preview",
// DeepSeek
"deepseek-v4-pro",
"deepseek-v4-flash",
// Qwen
"qwen3.7-max",
"qwen3-coder-next",
// Z.ai
"glm-5.1",
// Moonshot AI
"kimi-k2.6",
// MiniMax
"minimax-m3",
// xAI
"grok-4.3",
// Baidu
"ernie-5.1",
// Mistral
"mistral-large-3",
// Meta
"llama-4-maverick",
],
deepseek: [
"deepseek-v4-pro",
"deepseek-v4-flash",
"deepseek-chat",
"deepseek-reasoner",
],
siliconflow: [
// DeepSeek
"deepseek-ai/DeepSeek-V4-Pro",
"deepseek-ai/DeepSeek-V4-Flash",
"deepseek-ai/DeepSeek-V3.2",
// MiniMax
"MiniMaxAI/MiniMax-M3",
// Moonshot
"moonshotai/Kimi-K2.6",
// Z.ai
"zai-org/GLM-5",
// Qwen
"Qwen/Qwen3.6-35B-A3B",
"Qwen/Qwen3-Coder-480B-A35B-Instruct",
"Qwen/Qwen3-30B-A3B-Instruct-2507",
"Qwen/Qwen3-VL-32B-Instruct",
// OpenAI open-weights
"openai/gpt-oss-120b",
],
sglang: [
// SGLang is OpenAI-compatible, models depend on deployment
"default",
],
gateway: [
"anthropic/claude-opus-5.5",
"anthropic/claude-sonnet-5.5",
"openai/gpt-6.1-sol",
"openai/gpt-6-luna",
"openai/gpt-5.5",
"anthropic/claude-opus-4.7",
"google/gemini-3.1-pro-preview",
"xai/grok-4.3",
"anthropic/claude-sonnet-4.6",
"anthropic/claude-haiku-4.5",
"openai/gpt-5.4-mini",
],
edgeone: ["@tx/deepseek-ai/deepseek-v32"],
doubao: [
// ByteDance Doubao models (Volcengine Ark IDs use dash form)
"doubao-seed-2-0-pro-260215",
"doubao-seed-2-0-lite-260428",
"doubao-seed-2-0-mini-260428",
"doubao-seed-1-8-251228",
"doubao-seed-1-6-251015",
"doubao-seed-1-6-flash-250828",
"doubao-seed-1-6-vision-250815",
"doubao-1-5-pro-32k-250115",
"doubao-1-5-lite-32k-250115",
],
modelscope: [
// DeepSeek
"deepseek-ai/DeepSeek-V4-Pro",
"deepseek-ai/DeepSeek-V3.2",
"deepseek-ai/DeepSeek-R1-0528",
"deepseek-ai/DeepSeek-R1",
// Qwen
"Qwen/Qwen3-235B-A22B-Instruct-2507",
"Qwen/Qwen3-VL-235B-A22B-Instruct",
"Qwen/Qwen3-Coder-30B-A3B-Instruct",
"Qwen/Qwen3-32B",
"Qwen/Qwen2.5-72B-Instruct",
],
minimax: [
// MiniMax models (Anthropic-compatible API)
"MiniMax-M3",
"MiniMax-M2.7",
"MiniMax-M2.7-highspeed",
"MiniMax-M2.5",
],
novita: [
// Novita AI models (OpenAI-compatible API)
"minimax/minimax-m3",
"deepseek/deepseek-v4-pro",
"zai-org/glm-5.1",
"moonshotai/kimi-k2.6",
"deepseek/deepseek-v4-flash",
],
mimo: ["mimo-v2.5-pro", "mimo-v2.5"],
atlascloud: ["qwen/qwen3.5-flash", "deepseek-ai/deepseek-v4-pro"],
}
// Helper to generate UUID
export function generateId(): string {
return `${Date.now()}-${Math.random().toString(36).slice(2, 9)}`
}
// Create empty config
export function createEmptyConfig(): MultiModelConfig {
return {
version: 1,
providers: [],
selectedModelId: undefined,
}
}
// Create new provider config
export function createProviderConfig(provider: ProviderName): ProviderConfig {
return {
id: generateId(),
provider,
apiKey: "",
baseUrl: PROVIDERS[provider].defaultBaseUrl,
models: [],
}
}
// Create new model config
export function createModelConfig(modelId: string): ModelConfig {
return {
id: generateId(),
modelId,
}
}
// Get all models as flattened list for dropdown (user-defined only)
export function flattenModels(config: MultiModelConfig): FlattenedModel[] {
const models: FlattenedModel[] = []
for (const provider of config.providers) {
// Use custom name if provided, otherwise use default provider label
const providerLabel =
provider.name || PROVIDERS[provider.provider].label
for (const model of provider.models) {
models.push({
id: model.id,
modelId: model.modelId,
provider: provider.provider,
providerLabel,
apiKey: provider.apiKey,
baseUrl: provider.baseUrl,
// AWS Bedrock fields
awsAccessKeyId: provider.awsAccessKeyId,
awsSecretAccessKey: provider.awsSecretAccessKey,
awsRegion: provider.awsRegion,
awsSessionToken: provider.awsSessionToken,
// Vertex AI fields
vertexApiKey: provider.vertexApiKey,
validated: model.validated,
source: "user",
isDefault: false,
})
}
}
return models
}
// Find model by ID
export function findModelById(
config: MultiModelConfig,
modelId: string,
): FlattenedModel | undefined {
return flattenModels(config).find((m) => m.id === modelId)
}
/**
* A base URL the way the SDKs expect it: no spaces, no trailing slash, and
* no endpoint path users often paste along (".../v1/chat/completions"),
* which the SDK would append a second time.
*/
export function normalizeBaseUrl(url: string): string {
return url
.trim()
.replace(/\/+$/, "")
.replace(/\/(?:chat\/completions|completions|messages|responses)$/, "")
}
/**
* Ollama's native API root, which the SDK appends /chat to and the model
* list /tags. Users often enter the server address ("http://localhost:11434")
* or its OpenAI-compatible one (".../v1"); both get /api.
*/
export function ollamaApiUrl(baseUrl: string): string {
return `${normalizeBaseUrl(baseUrl).replace(/\/(?:api|v1)$/, "")}/api`
}
/** Where a chat request goes for a base URL, or null when the SDK decides */
export function chatRequestUrl(
provider: ProviderName,
baseUrl: string,
): string | null {
const url = normalizeBaseUrl(baseUrl)
if (!url) return null
const { sdk, ownRequestPath } = PROVIDERS[provider]
if (sdk === "anthropic") return `${url}/messages`
if (sdk === "ollama") return `${ollamaApiUrl(url)}/chat`
// These SDKs build their own paths (or, for MiniMax, pick the protocol
// from the URL)
return ownRequestPath ? null : `${url}/chat/completions`
}