{"version":3,"sources":["../../src/tts/provider_format.test.ts"],"sourcesContent":["// SPDX-FileCopyrightText: 2026 LiveKit, Inc.\n//\n// SPDX-License-Identifier: Apache-2.0\n\n/**\n * Tests for the LiveKit expression marker (expr) dialect.\n *\n * The LLM emits a single marker tag — `` (self-closing for\n * expression/break/sound, wrapping for prosody/spell) — and the framework lowers it to\n * each provider's native markup before synthesis while stripping it from transcripts. The\n * syntax is shared, but the kinds and label vocabularies are per provider: each provider's\n * instruction block advertises only what that provider supports.\n */\nimport { describe, expect, it } from 'vitest';\nimport { ChatContext, ChatMessage } from '../llm/chat_context.js';\nimport { type TimedString, createTimedString } from '../voice/io.js';\nimport { matchMood } from './mood.js';\nimport {\n TranscriptMarkupStripper,\n convertMarkup,\n dropBracketCues,\n expressionAttribute,\n llmInstructions,\n maxInputLen,\n normalizeMarkup,\n sentenceTokenizer,\n splitAllMarkup,\n steeringInstructions,\n stripAllMarkup,\n stripExprMarkup,\n supportedNonverbals,\n} from './provider_format.js';\n\n// Inworld-flavored turn: free-form expression + sound + break\nconst JOKE =\n ' Why did the burger go to the gym? ' +\n ' Because it wanted better buns! ' +\n '';\n\ndescribe('convertMarkup: expr -> xAI', () => {\n it('lowers sounds, breaks and wrapping prosody', () => {\n const text =\n 'So I walked in and there it was! ' +\n ' ' +\n 'It was a secret the whole time.';\n expect(convertMarkup('xai', text)).toBe(\n 'So I walked in and [pause] there it was! [laugh] ' +\n 'It was a secret the whole time.',\n );\n });\n\n it('maps break durations to the two native pause levels', () => {\n expect(convertMarkup('xai', '')).toBe('[pause]');\n expect(convertMarkup('xai', '')).toBe('[long-pause]');\n });\n\n it('aliases an Inworld-style sound label to the native cue', () => {\n expect(convertMarkup('xai', '')).toBe('[breath]');\n });\n\n it('normalizes multi-word prosody labels to hyphenated tag names', () => {\n const text = 'no way';\n expect(convertMarkup('xai', text)).toBe('no way');\n });\n\n it('unwraps an unknown prosody label', () => {\n const text = 'ahoy there';\n expect(convertMarkup('xai', text)).toBe('ahoy there');\n });\n\n it('drops a hallucinated expression marker from the audio path', () => {\n // xAI has no free-form delivery descriptions; the marker still surfaces in\n // transcript tags\n const text = ' Hello!';\n expect(convertMarkup('xai', text)).toBe(' Hello!');\n });\n});\n\ndescribe('convertMarkup: expr -> Inworld', () => {\n it('lowers expression/sound to brackets and keeps break as native SSML', () => {\n expect(convertMarkup('inworld', JOKE)).toBe(\n '[say playfully] Why did the burger go to the gym? ' +\n ' Because it wanted better buns! [laugh]',\n );\n });\n\n it('salvages a stray prosody marker as a delivery hint', () => {\n const text = 'keep it secret';\n expect(convertMarkup('inworld', text)).toBe('[whisper]keep it secret');\n });\n});\n\ndescribe('convertMarkup: expr -> Cartesia', () => {\n it('lowers expression to , keeps break, drops sound', () => {\n const text =\n ' We won! ' +\n ' Unbelievable.';\n // without leaving the space the dropped marker sat between behind as a doubled\n // separator\n expect(convertMarkup('cartesia', text)).toBe(\n ' We won! Unbelievable.',\n );\n });\n\n it('lowers spell to the native tag', () => {\n const text = 'Your code is A7X9.';\n expect(convertMarkup('cartesia', text)).toBe('Your code is A7X9.');\n });\n\n it('unwraps spell for providers that lack it', () => {\n const text = 'Your code is A7X9.';\n expect(convertMarkup('xai', text)).toBe('Your code is A7X9.');\n expect(convertMarkup('inworld', text)).toBe('Your code is A7X9.');\n });\n\n it('lowers prosody labels to native speed/volume point controls', () => {\n expect(convertMarkup('cartesia', ' One moment.')).toBe(\n ' One moment.',\n );\n expect(convertMarkup('cartesia', ' We won!')).toBe(\n ' We won!',\n );\n // wrapping form applies the control before the span\n expect(convertMarkup('cartesia', 'bad news')).toBe(\n 'bad news',\n );\n });\n\n it('unwraps an unknown prosody label', () => {\n const text = 'keep it secret';\n expect(convertMarkup('cartesia', text)).toBe('keep it secret');\n });\n\n it('does not let a self-closing prosody marker swallow a later span', () => {\n // Cartesia's prosody markers are self-closing point controls. Read as an opening tag,\n // one would run to the next and eat the spell marker with it — the code would\n // reach the TTS as a bare word and be pronounced instead of spelled out.\n const text =\n ' One moment. ' +\n 'Your code is A7X9.';\n expect(convertMarkup('cartesia', text)).toBe(\n ' One moment. Your code is A7X9.',\n );\n });\n\n it('keeps each self-closing marker distinct across a sentence', () => {\n const text =\n ' Big news! Or not.';\n expect(convertMarkup('cartesia', text)).toBe(\n ' Big news! Or not.',\n );\n });\n});\n\ndescribe('convertMarkup: expr -> Fish Audio', () => {\n it('lowers expression to an intensified bracket cue and sounds to their aliases', () => {\n const text =\n ' That\\'s on us. ' +\n '';\n expect(convertMarkup('fishaudio', text)).toBe(\"[very regretful] That's on us. [sighing]\");\n });\n\n it('lowers a tone wrapper to Fish’s prefix marker form', () => {\n const text = 'don\\'t tell anyone';\n expect(convertMarkup('fishaudio', text)).toBe(\"[whispering] don't tell anyone\");\n });\n\n it('lowers emphasis to the per-word stress marker', () => {\n const text = 'Are you sure?';\n expect(convertMarkup('fishaudio', text)).toBe('Are you [emphasis] sure?');\n });\n\n it('maps break durations to the two native pause levels', () => {\n expect(convertMarkup('fishaudio', '')).toBe('[break]');\n expect(convertMarkup('fishaudio', '')).toBe('[long-break]');\n });\n});\n\nit('drops a stray expr tag rather than letting it reach the TTS', () => {\n // an unpaired prosody open/close (e.g. split across stream chunks) is dropped, keeping\n // the words\n expect(convertMarkup('xai', 'hello there')).toBe('hello there');\n expect(convertMarkup('xai', 'hello there')).toBe('hello there');\n});\n\ndescribe('transcript stripping (provider-agnostic)', () => {\n it('strips expr and reports its tags', () => {\n const [clean, tags] = splitAllMarkup(JOKE);\n expect(clean.trim()).toBe('Why did the burger go to the gym? Because it wanted better buns!');\n expect(tags).toEqual([\n { type: 'expression', value: 'say playfully' },\n { type: 'break', value: '500ms' },\n { type: 'sound', value: 'laugh' },\n ]);\n });\n\n it('keeps the inner text of a wrapping marker', () => {\n const text =\n 'She said keep it secret — ' +\n 'code A7X9.';\n const [clean, tags] = splitAllMarkup(text);\n expect(clean).toBe('She said keep it secret — code A7X9.');\n expect(tags).toEqual([\n { type: 'prosody', value: 'whisper' },\n { type: 'spell', value: '' },\n ]);\n });\n\n it('strips mixed expr and provider-native tags', () => {\n const text = ' Hello! ';\n const [clean, tags] = splitAllMarkup(text);\n expect(clean.trim()).toBe('Hello!');\n expect(tags).toContainEqual({ type: 'expression', value: 'say playfully' });\n expect(tags).toContainEqual({ type: 'sound', value: 'laugh' });\n });\n\n it('keeps square-bracket spans', () => {\n // bracket spans are a TTS-only native form (convertMarkup emits them on the audio\n // path), so the transcript strip must leave markdown links and prose brackets intact\n const text =\n 'Press [Enter], then read [the docs](https://docs.livekit.io). ';\n const [clean, tags] = splitAllMarkup(text);\n expect(clean).toBe('Press [Enter], then read [the docs](https://docs.livekit.io). ');\n expect(tags).toEqual([{ type: 'sound', value: 'sigh' }]);\n });\n\n it('does not match the native tag with the expr regexes', () => {\n // \" there.');\n });\n\n it('holds a tag split across streamed chunks', () => {\n const stripper = new TranscriptMarkupStripper();\n let out = '';\n // split mid-tag so the partial \" Hello',\n ' wor',\n 'ld!',\n ]) {\n out += stripper.push(chunk);\n }\n out += stripper.flush();\n // no leading space: the marker opened the segment, so the space it left behind is\n // trimmed (Python leaves it, and its own tests .strip() around it)\n expect(out).toBe('Hello world!');\n expect(stripper.tags[0]).toEqual({ type: 'expression', value: 'say playfully' });\n expect(stripper.tags).toContainEqual({ type: 'prosody', value: 'whisper' });\n });\n\n it('leaves a single space where a removed tag sat between two', () => {\n // a marker between two spaces must not leave both behind, or punctuation ends up\n // followed by a double space in the transcript\n expect(stripAllMarkup('Right. Anyway.')).toBe(\n 'Right. Anyway.',\n );\n expect(stripAllMarkup('Right. Anyway.')).toBe('Right. Anyway.');\n // a wrapping marker keeps its inner text, so its spacing is untouched\n expect(stripAllMarkup('a b c')).toBe('a b c');\n // only the doubled separator goes: a marker with text on one side keeps the space\n expect(stripAllMarkup('Right. Anyway.')).toBe(\n 'Right. Anyway.',\n );\n expect(stripAllMarkup('Right. Anyway.')).toBe(\n 'Right. Anyway.',\n );\n // newlines are structure, not a separator a strip may collapse\n expect(stripAllMarkup('a\\n\\nb')).toBe('a\\n\\nb');\n });\n\n it('keeps the trailing space before a marker at the end of a chunk', () => {\n // the space before a trailing marker is the separator for words still streaming in,\n // so it survives the strip (the seam is deduped by TranscriptMarkupStripper)\n expect(stripAllMarkup('Right. ')).toBe('Right. ');\n });\n\n it('dedups the space across chunk seams', () => {\n // the space before the marker goes out with the previous chunk, so the in-text dedup\n // can't see it — the stripper has to close that seam itself\n for (const chunks of [\n ['Right. ', '', ' Anyway.'],\n ['Right. ', ' Anyway.'],\n ['Right. ', '', ' Anyway.'],\n ]) {\n const stripper = new TranscriptMarkupStripper();\n const out = chunks.map((c) => stripper.push(c)).join('') + stripper.flush();\n expect(out, chunks.join('|')).toBe('Right. Anyway.');\n }\n });\n\n it('leaves untagged whitespace alone', () => {\n // without a stripped tag at the seam there is nothing to dedup: whitespace the LLM\n // itself emitted is passed through untouched\n let stripper = new TranscriptMarkupStripper();\n let out = ['Right. ', ' Anyway.'].map((c) => stripper.push(c)).join('') + stripper.flush();\n expect(out).toBe('Right. Anyway.');\n\n // a tag stripped earlier in the chunk doesn't license collapsing the seam either:\n // the whitespace here trails \"hello\", not the removed tag\n stripper = new TranscriptMarkupStripper();\n out =\n ['hello ', ' world'].map((c) => stripper.push(c)).join('') +\n stripper.flush();\n expect(out).toBe('hello world');\n });\n\n it('builds the lk.expression attribute from the leading expression', () => {\n const [, tags] = splitAllMarkup(JOKE);\n const attr = expressionAttribute(tags);\n expect(attr).toBeDefined();\n expect(Object.values(attr!)[0]).toContain('\"say playfully\"');\n });\n\n it('has no lk.expression attribute without an expression tag', () => {\n const [, tags] = splitAllMarkup('Hi there.');\n expect(expressionAttribute(tags)).toBeUndefined();\n });\n});\n\ndescribe('normalizeMarkup', () => {\n it.each(['xai', 'inworld', 'cartesia', 'fishaudio'])(\n 'closes an unclosed self-closing expr marker for %s',\n (provider) => {\n const text = ' Hello';\n expect(normalizeMarkup(provider, text)).toBe(' Hello');\n },\n );\n\n it('leaves wrapping and already-closed tags alone', () => {\n const text =\n 'hi ' +\n 'A7X9';\n expect(normalizeMarkup('xai', text)).toBe(text);\n });\n});\n\ndescribe('llmInstructions', () => {\n it.each(['xai', 'inworld', 'cartesia', 'fishaudio'])('uses expr syntax for %s', (provider) => {\n const instructions = llmInstructions(provider);\n expect(instructions).toBeDefined();\n expect(instructions).toContain(' {\n const instructions = llmInstructions('cartesia')!;\n // discrete emotion vocabulary, not free-form descriptions\n expect(instructions).toContain('');\n expect(instructions).toContain('NOT free-form');\n expect(instructions).toContain('');\n // coarse self-closing prosody point controls\n expect(instructions).toContain('');\n // no non-verbal sounds\n expect(instructions).not.toContain('type=\"sound\"');\n });\n\n it('advertises Inworld’s kinds only', () => {\n const instructions = llmInstructions('inworld')!;\n // free-form delivery descriptions + Inworld's own sound list\n expect(instructions).toContain('');\n expect(instructions).toContain('free-form');\n expect(instructions).toContain('clear throat');\n // no wrapping prosody, no spell\n expect(instructions).not.toContain('type=\"prosody\"');\n expect(instructions).not.toContain('type=\"spell\"');\n });\n\n it('advertises xAI’s kinds only', () => {\n const instructions = llmInstructions('xai')!;\n // xAI's own sound cues + wrapping prosody vocabulary\n expect(instructions).toContain('tongue-click');\n expect(instructions).toContain('');\n expect(instructions).toContain('sing-song');\n // no free-form delivery descriptions, no spell\n expect(instructions).not.toContain('type=\"expression\"');\n expect(instructions).not.toContain('type=\"spell\"');\n });\n\n it('is undefined for a provider with no markup dialect', () => {\n expect(llmInstructions('')).toBeUndefined();\n expect(llmInstructions('openai')).toBeUndefined();\n expect(llmInstructions('rime')).toBeUndefined();\n });\n\n it('omits a sound category that steering disables, and its examples', () => {\n const instructions = llmInstructions('inworld', { nonverbalSounds: { laughing: false } })!;\n expect(instructions).not.toContain('label=\"laugh\"');\n expect(instructions).toContain('clear throat');\n });\n\n it('omits the whole sounds section when every sound is disabled', () => {\n const instructions = llmInstructions('inworld', { nonverbalSounds: false })!;\n expect(instructions).not.toContain('type=\"sound\"');\n });\n\n it('renders identically when steering explicitly enables everything', () => {\n expect(llmInstructions('xai', { nonverbalSounds: true })).toBe(llmInstructions('xai'));\n expect(llmInstructions('xai', {})).toBe(llmInstructions('xai'));\n });\n});\n\n// assistant text mixing expr markers with content that must survive an expr-only strip:\n// provider-native tags, bracket spans, markdown links, and stray angle brackets\nconst MIXED =\n ' Press [Enter] to see bold, ' +\n 'read [the docs](https://docs.livekit.io), then 1 < 2. ' +\n 'keep it secret';\nconst MIXED_CLEAN =\n ' Press [Enter] to see bold, ' +\n 'read [the docs](https://docs.livekit.io), then 1 < 2. ' +\n 'keep it secret';\n\ndescribe('stripExprMarkup', () => {\n it('only touches expr', () => {\n expect(stripExprMarkup(MIXED)).toBe(MIXED_CLEAN);\n });\n\n it('is a no-op without expr', () => {\n const text = 'plain text with [brackets] and ';\n expect(stripExprMarkup(text)).toBe(text);\n });\n\n it('strips expr only from assistant textContent', () => {\n const msg = ChatMessage.create({ role: 'assistant', content: [MIXED] });\n expect(msg.textContent).toBe(MIXED_CLEAN);\n expect(msg.rawTextContent).toBe(MIXED);\n });\n\n it.each(['user', 'system', 'developer'] as const)('leaves %s messages raw', (role) => {\n // only assistant messages carry expressive markup; other roles are never stripped\n const msg = ChatMessage.create({ role, content: [JOKE] });\n expect(msg.textContent).toBe(JOKE);\n expect(msg.rawTextContent).toBe(JOKE);\n });\n\n it('returns undefined without text content', () => {\n const msg = ChatMessage.create({ role: 'assistant', content: [] });\n expect(msg.textContent).toBeUndefined();\n expect(msg.rawTextContent).toBeUndefined();\n });\n\n it('toJSON stripMarkup is expr-only and assistant-only', () => {\n const chatCtx = ChatContext.empty();\n chatCtx.addMessage({ role: 'user', content: [MIXED] });\n chatCtx.addMessage({ role: 'assistant', content: [MIXED] });\n\n let items = chatCtx.toJSON({ stripMarkup: true }).items as Array<{ content: string[] }>;\n expect(items[0]!.content).toEqual([MIXED]); // user content untouched\n expect(items[1]!.content).toEqual([MIXED_CLEAN]); // assistant loses only expr tags\n\n // default keeps the raw content for persistence\n items = chatCtx.toJSON().items as Array<{ content: string[] }>;\n expect(items[1]!.content).toEqual([MIXED]);\n });\n});\n\ndescribe('universal transcript stripping', () => {\n // The transcript sinks strip downstream without knowing the provider, so they remove\n // the union of every provider's XML tags — but never square brackets, which reach the\n // transcript as markdown/prose.\n\n it('strips every provider’s tags at once and leaves brackets', () => {\n const [clean, tags] = splitAllMarkup(\n 'Hi there ' +\n '[pause] friend',\n );\n expect(clean).toBe('Hi there [pause] friend');\n expect(tags).toContainEqual({ type: 'emotion', value: 'happy' });\n expect(tags).toContainEqual({ type: 'expression', value: 'warm' });\n expect(tags).toContainEqual({ type: 'sound', value: 'giggle' });\n });\n\n it('takes the attribute, not the wrapped words, as a delivery label', () => {\n // the model writes `…` often enough that\n // normalizeMarkup repairs it — but that runs on the audio path only, so the sinks see\n // the raw shape. Recording the inner text here published the agent's own sentence as\n // lk.expression, and matchMood then fell back to `calm`.\n const [clean, tags] = splitAllMarkup('Hello there');\n expect(clean).toBe('Hello there');\n expect(tags).toEqual([{ type: 'expression', value: 'warm' }]);\n expect(expressionAttribute(tags)).toEqual({\n 'lk.expression': '{\"expression\":\"warm\",\"mood\":\"happy\"}',\n });\n });\n\n it('still reads a content tag from its inner text', () => {\n // the inverse must keep working: spell/emphasis and xAI's wrapping emotion tags carry\n // no attribute, so their content is the value\n expect(splitAllMarkup('A7X9')[1]).toEqual([{ type: 'spell', value: 'A7X9' }]);\n expect(splitAllMarkup('wow')[1]).toEqual([\n { type: 'emphasis', value: 'wow' },\n ]);\n expect(splitAllMarkup('Great to hear!')[1]).toEqual([\n { type: 'happy', value: 'Great to hear!' },\n ]);\n });\n\n it('produces the documented lk.expression payload shape', () => {\n let [, tags] = splitAllMarkup('oh no');\n expect(expressionAttribute(tags)).toEqual({\n 'lk.expression': '{\"expression\":\"sad\",\"mood\":\"sad\"}',\n });\n\n // no expression/emotion tag -> no attribute\n [, tags] = splitAllMarkup('hi');\n expect(expressionAttribute(tags)).toBeUndefined();\n });\n\n it('holds partial tags while streaming', () => {\n const s = new TranscriptMarkupStripper();\n let out = s.push('Hi the');\n out += s.push('re');\n out += s.flush();\n expect(out).not.toContain(' {\n const s = new TranscriptMarkupStripper();\n // an unclosed \"[\" must not stall the chunk (brackets aren't markup), and the link must\n // arrive intact rather than collapsed to its (url) tail\n const first = s.push('Read [the docs](https:');\n expect(first).toBe('Read [the docs](https:');\n const rest = s.push('//docs.livekit.io) now.') + s.flush();\n expect(first + rest).toBe('Read [the docs](https://docs.livekit.io) now.');\n });\n\n it('does not stall on a bare \"<\"', () => {\n const s = new TranscriptMarkupStripper();\n const first = s.push('The value 3 < 5 ');\n expect(first).toContain('3 < 5');\n const rest = s.push('is true.') + s.flush();\n expect((first + rest).replace(/ /g, '')).toBe('Thevalue3<5istrue.');\n });\n\n it('strips nested emotion + prosody cleanly', () => {\n // combining emotion + prosody means nesting; the transcript must come out clean (no\n // leaked inner markup) — this is what the fixed-point strip guarantees\n const raw =\n 'no way ' +\n ' okay';\n const [clean] = splitAllMarkup(raw);\n expect(clean).not.toContain('<');\n expect(clean).not.toContain('>');\n expect(clean).toContain('no way');\n expect(clean).toContain('okay');\n });\n});\n\ndescribe('speech steering', () => {\n it('renders nothing for the explicit all-on forms', () => {\n // equivalent configurations must produce identical instructions: the explicit all-on\n // forms add no sound guidance the default doesn't have\n for (const provider of ['fishaudio', 'inworld', 'xai']) {\n for (const steering of [{ nonverbalSounds: true } as const, { nonverbalSounds: {} }]) {\n expect(steeringInstructions(provider, steering), provider).toBe('');\n expect(llmInstructions(provider, steering), provider).toBe(llmInstructions(provider));\n }\n }\n // all-off leaves nothing to guide; the vocabulary removal happens in llmInstructions\n expect(steeringInstructions('fishaudio', { nonverbalSounds: false })).toBe('');\n });\n\n it('guides only about the sounds that survive an opt-out', () => {\n const partial = steeringInstructions('fishaudio', { nonverbalSounds: { laughing: false } });\n expect(partial).toContain('clear-throat');\n expect(partial.toLowerCase()).not.toContain('laugh');\n });\n\n it('renders pace and disfluency guidelines', () => {\n expect(steeringInstructions('inworld', { disfluencies: false })).toContain('No fillers');\n expect(steeringInstructions('inworld', { pace: 'slow' })).toContain('slow overall speaking');\n // \"normal\" is the default, so it adds nothing\n expect(steeringInstructions('inworld', { pace: 'normal' })).toBe('');\n });\n\n it('never mentions an opted-out concept, not even prohibitively', () => {\n const composed = llmInstructions('fishaudio', {\n nonverbalSounds: false,\n disfluencies: false,\n })!;\n expect(composed.toLowerCase()).not.toContain('laugh');\n expect(composed.toLowerCase()).not.toContain('filler');\n expect(composed).not.toContain('Um, uh');\n });\n\n it('few-shots fillers only while disfluencies are enabled', () => {\n expect(llmInstructions('fishaudio', { disfluencies: true })).toContain('Um, uh');\n expect(llmInstructions('fishaudio')).toContain('Um, uh'); // default is on\n const off = llmInstructions('fishaudio', { disfluencies: false })!;\n expect(off).not.toContain('Um, uh');\n expect(off).not.toContain(', um,');\n });\n\n it('exposes the queryable non-verbal capability matrix', () => {\n expect(supportedNonverbals('fishaudio')).toEqual({\n laughing: ['laughing', 'chuckling'],\n breathing: ['gasping'],\n sighing: ['sighing'],\n crying: ['sobbing'],\n vocalizing: ['groaning'],\n reflexSounds: ['clear throat', 'yawning'],\n });\n expect(supportedNonverbals('cartesia')).toEqual({});\n });\n\n it('treats a category object as a sparse opt-out', () => {\n // omitted categories stay enabled, so { laughing: false } removes laughter and\n // nothing else\n const steering = { nonverbalSounds: { laughing: false } };\n const inworld = llmInstructions('inworld', steering)!;\n expect(inworld).not.toContain('label=\"laugh\"');\n for (const kept of ['sigh', 'breathe', 'clear throat', 'cough', 'yawn']) {\n expect(inworld, kept).toContain(kept);\n }\n // xai's laugh-family prosody is governed by the same field\n const xai = llmInstructions('xai', steering)!;\n expect(xai).not.toContain('laugh-speak');\n expect(xai).toContain('whisper');\n });\n\n it('carries the register rule in every provider’s block', () => {\n // register inference is provider-neutral: every markup-capable provider's block\n // carries the rule via the shared preamble\n for (const provider of ['fishaudio', 'inworld', 'xai', 'cartesia']) {\n expect(llmInstructions(provider), provider).toContain('REGISTER of the moment');\n }\n });\n});\n\ndescribe('expressive chunking', () => {\n // a typical expressive reply: three short sentences with markers, ~270 chars — well\n // under every provider's request cap\n const REPLY =\n ' Hey, good to hear from you! ' +\n ' How did the interview go? ' +\n ' I have been thinking about it all week.';\n\n /** Feed the reply in LLM-sized chunks; report what the TTS would have received and when. */\n async function synthesisRequests(provider: string, expressive: boolean) {\n const stream = sentenceTokenizer(provider, { expressive }).stream();\n const tokens: string[] = [];\n const reader = (async () => {\n for await (const ev of stream) tokens.push(ev.token);\n })();\n\n for (const chunk of REPLY.match(/.{1,12}/gs) ?? []) stream.pushText(chunk);\n await new Promise((r) => setImmediate(r));\n // everything emitted at this point went out while the LLM was still generating\n const duringStream = [...tokens];\n\n stream.endInput();\n await reader;\n return { duringStream, total: tokens.length, first: tokens[0] ?? '' };\n }\n\n it.each(['inworld', 'xai', 'cartesia'])(\n 'leaves time-to-first-audio unchanged for %s',\n async (provider) => {\n const plain = await synthesisRequests(provider, false);\n const expressive = await synthesisRequests(provider, true);\n\n // regression: the batch target used to be the provider's request cap (400–1000\n // chars). A typical reply never reaches it, so nothing was sent until generation\n // finished and the whole turn was synthesized in one request — first audio waited\n // for the full completion.\n expect(expressive.duringStream.length).toBeGreaterThan(0);\n expect(expressive.first).toBe(plain.first);\n\n // ...while still batching the body of the turn into fewer requests than per-sentence\n expect(expressive.total).toBeLessThan(plain.total);\n },\n );\n\n it('keeps fishaudio per-sentence', async () => {\n // its markers are sentence-scoped, so batching would cost first-audio and buy no\n // steering — it is deliberately absent from the chunk-limit table\n const plain = await synthesisRequests('fishaudio', false);\n const expressive = await synthesisRequests('fishaudio', true);\n expect(expressive.total).toBe(plain.total);\n });\n\n it('never exceeds the provider request cap', async () => {\n const long = Array.from({ length: 40 }, (_, i) => `This is sentence number ${i}.`).join(' ');\n const stream = sentenceTokenizer('cartesia', { expressive: true }).stream();\n const tokens: string[] = [];\n const reader = (async () => {\n for await (const ev of stream) tokens.push(ev.token);\n })();\n stream.pushText(long);\n stream.endInput();\n await reader;\n\n expect(tokens.length).toBeGreaterThan(1);\n for (const t of tokens) expect(t.length).toBeLessThanOrEqual(maxInputLen('cartesia')!);\n });\n});\n\ndescribe('mood matching', () => {\n it('normalizes free-form delivery labels', () => {\n expect(matchMood('soft, with genuine care')).toBe('empathetic');\n expect(matchMood('gently curious, welcoming')).toBe('curious');\n // word starts only: \"like a pirate\" must not match `angry` via the \"irate\" stem\n expect(matchMood('like a pirate')).toBe('calm');\n expect(matchMood('like a pirate', null)).toBeNull();\n });\n\n it('resolves every advertised Fish emotion to a real mood', () => {\n // lk.expression consumers get a meaningful enum for the whole vocabulary\n const instructions = llmInstructions('fishaudio')!;\n for (const emotion of ['regretful', 'hopeful', 'delighted', 'determined', 'frustrated']) {\n expect(instructions).toContain(emotion);\n expect(matchMood(emotion, null), emotion).not.toBeNull();\n }\n });\n});\n\ndescribe('dropBracketCues', () => {\n const timed = (text: string) => createTimedString({ text, startTime: 0, endTime: 1 });\n\n it('drops a native cue and one of the spaces it sat between', () => {\n const held: TimedString[] = [];\n const out = dropBracketCues(['Right.', ' ', '[laughing]', ' ', 'Anyway.'].map(timed), held, {\n final: true,\n });\n expect(out.map((t) => t.text).join('')).toBe('Right. Anyway.');\n });\n\n it('holds an unclosed span across messages until it closes', () => {\n const held: TimedString[] = [];\n let out = dropBracketCues(['Hello ', '[lau'].map(timed), held);\n expect(out.map((t) => t.text).join('')).toBe('Hello ');\n expect(held.length).toBeGreaterThan(0);\n\n // the cue and the space after it are gone; \"Hello \" already went out above, so the\n // seam still reads as a single separator\n out = dropBracketCues(['ghing] there'].map(timed), held);\n expect(out.map((t) => t.text).join('')).toBe('there');\n });\n\n it('releases an unresolved span at end of stream', () => {\n const held: TimedString[] = [];\n dropBracketCues([timed('Hello [lau')], held);\n const out = dropBracketCues([], held, { final: true });\n expect(out.map((t) => t.text).join('')).toBe('[lau');\n 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