a16ef2346f
Add a per-workspace `sttLanguage` setting (ISO-639-1 hint; empty = auto-detect) and a searchable language picker in the Voice / STT settings card. The hint is forwarded to the transcription endpoint: - multipart path via the AI SDK `providerOptions.openai.language` - JSON (OpenRouter) path via a top-level `language` body field only when non-empty, so auto-detect behaves exactly as before. Threaded through the whole stack: ai.types, update DTO, AiSettingsService (resolve/getMasked/update), the workspace.repo SQL allowlist, the client ai-settings service types, and the provider-settings form. Adds en-US source keys and ru-RU translations. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
106 lines
3.5 KiB
TypeScript
106 lines
3.5 KiB
TypeScript
import api from "@/lib/api-client";
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// Supported LLM providers/drivers.
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export type AiDriver = "openai" | "gemini" | "ollama";
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// How STT (speech-to-text) requests are encoded for the transcription endpoint.
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// - 'multipart' -> OpenAI-compatible multipart/form-data (OpenAI, speaches,
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// faster-whisper-server)
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// - 'json' -> JSON body with base64-encoded audio (OpenRouter)
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export type SttApiStyle = "multipart" | "json";
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// Masked AI provider settings returned by the server.
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// No API key is ever returned; only `hasApiKey` / `hasEmbeddingApiKey` indicate
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// whether one is stored. `embeddingBaseUrl` is the RAW stored value (empty means
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// "uses the chat base URL").
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export interface IAiSettings {
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driver?: AiDriver;
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chatModel?: string;
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// Cheap model id for the anonymous public-share assistant; empty = chatModel.
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publicShareChatModel?: string;
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// Agent-role id whose persona the public-share assistant adopts; empty =
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// built-in locked persona.
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publicShareAssistantRoleId?: string;
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embeddingModel?: string;
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baseUrl?: string;
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embeddingBaseUrl?: string;
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systemPrompt?: string;
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hasApiKey: boolean;
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hasEmbeddingApiKey: boolean;
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// STT-specific settings. `sttBaseUrl` is the RAW stored value (empty means
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// "uses the chat base URL"). `hasSttApiKey` indicates whether an STT-specific
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// key is stored (empty means "uses the chat API key").
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sttModel?: string;
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sttBaseUrl?: string;
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sttApiStyle?: SttApiStyle;
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// ISO-639-1 dictation language; empty = auto-detect.
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sttLanguage?: string;
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hasSttApiKey: boolean;
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// RAG indexing coverage (pages indexed for semantic search).
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indexedPages: number;
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totalPages: number;
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}
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// Update payload. Key semantics (same for `apiKey` and `embeddingApiKey`):
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// - omit the key -> key unchanged
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// - `key: ''` -> clear the stored key
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// - `key: 'non-empty'` -> set the key
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// Non-secret fields are saved as given.
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export interface IAiSettingsUpdate {
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driver?: AiDriver;
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chatModel?: string;
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publicShareChatModel?: string;
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// Agent-role id whose persona the public-share assistant adopts; empty =
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// built-in locked persona.
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publicShareAssistantRoleId?: string;
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embeddingModel?: string;
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baseUrl?: string;
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embeddingBaseUrl?: string;
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systemPrompt?: string;
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apiKey?: string;
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embeddingApiKey?: string;
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sttModel?: string;
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sttBaseUrl?: string;
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sttApiStyle?: SttApiStyle;
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// ISO-639-1 dictation language; empty = auto-detect.
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sttLanguage?: string;
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// Write-only STT key (same semantics as `apiKey` / `embeddingApiKey`).
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sttApiKey?: string;
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}
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// Result of a connection test against the configured provider.
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// The error string is already sanitized server-side.
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export interface IAiTestResult {
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ok: boolean;
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error?: string;
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}
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// Which endpoint a connection test probes.
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export type AiTestCapability = "chat" | "embeddings" | "stt";
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export async function getAiSettings(): Promise<IAiSettings> {
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const req = await api.post<IAiSettings>("/workspace/ai-settings");
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return req.data;
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}
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export async function updateAiSettings(
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data: IAiSettingsUpdate,
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): Promise<IAiSettings> {
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const req = await api.post<IAiSettings>("/workspace/ai-settings/update", data);
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return req.data;
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}
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export async function testAiConnection(
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capability: AiTestCapability,
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): Promise<IAiTestResult> {
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const req = await api.post<IAiTestResult>("/workspace/ai-settings/test", {
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capability,
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});
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return req.data;
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}
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export async function reindexAiEmbeddings(): Promise<IAiSettings> {
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const req = await api.post<IAiSettings>("/workspace/ai-settings/reindex");
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return req.data;
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}
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