63bb937796
- Add ALWRITY_ENABLED_FEATURES env var for feature gating - Podcast-only mode: skip LLM bootstrap, scheduler, persona services - Enhance video generation prompt with scene context, analysis, narration - Add voice cloning support via custom_voice_id in WaveSpeed - Add text-to-speech for research results (browser speechSynthesis) - Fix render queue to sync images from script phase - Add WaveSpeed LLM pricing (gpt-oss-120b) - Fix podcast bible generation error handling - Refactor RouterManager for feature-based router loading
101 lines
3.0 KiB
TypeScript
101 lines
3.0 KiB
TypeScript
import { ResearchConfig, DateRange } from "../../../services/blogWriterApi";
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import { CreateProjectPayload, Knobs } from "../types";
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export const DEFAULT_KNOBS: Knobs = {
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voice_emotion: "neutral",
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voice_speed: 1,
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voice_id: "Wise_Woman",
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custom_voice_id: undefined,
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resolution: "720p",
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scene_length_target: 45,
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sample_rate: 24000,
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bitrate: "standard",
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};
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export const allowedDateRanges: DateRange[] = [
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"last_week",
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"last_month",
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"last_3_months",
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"last_6_months",
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"last_year",
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"all_time",
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];
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export const sanitizeExaConfig = (
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exa?: CreateProjectPayload["knobs"] & any & { exa_suggested_config?: any } | any
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): ResearchConfig | undefined => {
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if (!exa) return undefined;
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const cfg = exa as {
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exa_search_type?: "auto" | "keyword" | "neural";
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exa_category?: string;
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exa_include_domains?: string[];
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exa_exclude_domains?: string[];
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max_sources?: number;
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include_statistics?: boolean;
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date_range?: string;
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};
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const searchType: ResearchConfig["exa_search_type"] =
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cfg.exa_search_type && ["auto", "keyword", "neural"].includes(cfg.exa_search_type)
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? cfg.exa_search_type
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: undefined;
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const dateRange: DateRange | undefined = cfg.date_range && allowedDateRanges.includes(cfg.date_range as DateRange)
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? (cfg.date_range as DateRange)
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: undefined;
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return {
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provider: "exa",
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exa_search_type: searchType,
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exa_category: cfg.exa_category,
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exa_include_domains: cfg.exa_include_domains,
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exa_exclude_domains: cfg.exa_exclude_domains,
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max_sources: cfg.max_sources,
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include_statistics: cfg.include_statistics,
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date_range: dateRange,
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};
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};
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export const announceError = (
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setAnnouncement: (msg: string) => void,
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setAnnouncementSeverity?: (severity: "info" | "error" | "success") => void,
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error?: unknown
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) => {
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let message = "Unexpected error occurred. Please try again.";
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if (error instanceof Error) {
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message = error.message;
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// Simplify common error messages
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if (message.includes("RESOURCE_EXHAUSTED") || message.includes("quota")) {
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message = "API quota exceeded. Please check your API keys or try again later.";
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} else if (message.includes("All LLM providers failed")) {
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message = "AI service temporarily unavailable. Please try again later.";
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} else if (message.includes("No LLM API keys configured")) {
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message = "API keys not configured. Please contact support.";
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} else if (message.includes("RESOURCE_EXHAUSTED")) {
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message = "API quota exceeded. Please check your subscription or try again later.";
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} else if (message.length > 100) {
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message = "An error occurred during analysis. Please try again.";
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}
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}
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setAnnouncement(message);
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if (setAnnouncementSeverity) {
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setAnnouncementSeverity("error");
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}
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};
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export const getStepLabel = (step: string | null): string => {
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switch (step) {
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case "analysis":
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return "Analysis";
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case "research":
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return "Research";
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case "script":
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return "Script Editing";
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case "render":
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return "Rendering";
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default:
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return "Unknown";
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}
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};
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