Merge branch 'feature/native-audio-support'

This commit is contained in:
William Valentin
2026-02-11 18:28:12 -08:00
21 changed files with 910 additions and 52 deletions
+52 -1
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@@ -1089,7 +1089,7 @@
},
"overall_progress": {
"total_test_count": 1331,
"total_test_count": 1369,
"all_tests_passing": true,
"p0_completion": "3/3 (100%)",
"p1_completion": "4/4 (100%)",
@@ -1107,6 +1107,7 @@
"feature_gap_scorecard": "100/128 match (78%), 0 partial (0%), 28 missing (22%)",
"operator_dx_milestone": "Phase 3 (Live Ops Dashboard): 1/2 plans complete — metrics backend done, dashboard UI next",
"gmail_auth_cli": "flynn gmail-auth command implemented with OAuth2 flow, doctor check, config routed to Telegram",
"native_audio_support": "completed — smart routing for native audio (Gemini/OpenAI/GitHub) vs Whisper transcription fallback",
"next_up": "End-to-end test that Flynn follows through on tool calls via GitHub Copilot fallback. Remaining gaps: Tier 4 channels (Signal, Matrix, Teams, Google Chat), Tier 5 deferred/niche items"
},
"soul_md_and_cron_create": {
@@ -1137,6 +1138,56 @@
"src/backends/native/agent.test.ts"
]
},
"native-audio-support": {
"status": "completed",
"date": "2026-02-11",
"summary": "Native audio input support — voice messages passed directly to audio-capable models (Gemini, OpenAI, GitHub) instead of always transcribing via Whisper. Smart routing decides per-model whether to pass raw audio or transcribe first.",
"phases": {
"audio_transcribe_tool": {
"status": "completed",
"description": "audio.transcribe tool with Whisper-compatible API support",
"files_created": [
"src/tools/builtin/audio-transcribe.ts"
]
},
"type_system_and_clients": {
"status": "completed",
"description": "AudioSource type, audio content part handling in all model clients (Gemini inlineData, OpenAI input_audio, GitHub input_audio = native; Anthropic, Bedrock = text fallback)",
"files_modified": [
"src/models/types.ts",
"src/models/gemini.ts",
"src/models/openai.ts",
"src/models/github.ts",
"src/models/anthropic.ts",
"src/models/bedrock.ts",
"src/models/media.ts"
]
},
"capabilities_and_routing": {
"status": "completed",
"description": "supportsAudioInput() capability check, smart routing in daemon that transcribes for non-audio models and passes raw audio for capable ones, supports_audio config override",
"files_created": [
"src/models/capabilities.ts",
"src/models/capabilities.test.ts"
],
"files_modified": [
"src/daemon/routing.ts",
"src/config/schema.ts"
],
"test_status": "18/18 passing"
},
"tests_and_token_estimation": {
"status": "completed",
"description": "Audio tests for media helpers, audio token estimation (base64→bytes→duration→tokens at 32 tokens/sec), supports_audio config override wiring",
"files_modified": [
"src/models/media.test.ts",
"src/context/tokens.ts",
"src/context/tokens.test.ts"
],
"test_status": "20/20 tokens tests, 87/87 media tests"
}
}
},
"stopreason-normalization": {
"date": "2026-02-11",
"summary": "Normalize OpenAI/GitHub finish_reason to Flynn stopReason conventions. OpenAI 'stop' → 'end_turn', 'length' → 'max_tokens', 'tool_calls' with tools → 'tool_use', 'tool_calls' without tools → 'end_turn'. Fixes premature agent loop exit when falling back to GitHub Copilot (Anthropic API quota exhausted). Agent loop now accepts both 'tool_use' and 'tool_calls' as belt-and-suspenders.",
+10 -3
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@@ -52,6 +52,7 @@ const modelConfigBaseSchema = z.object({
for: z.array(z.string()).optional(),
num_gpu: z.number().optional(),
context_window: z.number().optional(),
supports_audio: z.boolean().optional(),
});
const modelConfigSchema = modelConfigBaseSchema.extend({
@@ -314,10 +315,16 @@ const webSearchSchema = z.object({
max_results: z.number().min(1).max(20).default(5),
}).default({});
const audioProviderSchema = z.object({
type: z.enum(['openai', 'groq', 'ollama', 'llamacpp', 'custom']),
endpoint: z.string().optional(),
api_key: z.string().optional(),
model: z.string().optional(),
});
const audioSchema = z.object({
transcription_endpoint: z.string().optional(),
transcription_api_key: z.string().optional(),
transcription_model: z.string().default('whisper-1'),
enabled: z.boolean().default(false),
provider: audioProviderSchema.optional(),
}).default({});
// ── Tool policy schemas ──────────────────────────────────────────────
+45 -1
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@@ -1,5 +1,5 @@
import { describe, it, expect } from 'vitest';
import { estimateTokens, estimateMessageTokens, getContextWindow, shouldCompact, CONTEXT_WINDOWS } from './tokens.js';
import { estimateTokens, estimateAudioTokens, estimateMessageTokens, getContextWindow, shouldCompact, CONTEXT_WINDOWS } from './tokens.js';
describe('estimateTokens', () => {
it('returns 0 for empty string', () => {
@@ -20,6 +20,33 @@ describe('estimateTokens', () => {
});
});
describe('estimateAudioTokens', () => {
it('returns positive number for valid audio data', () => {
// 10000 base64 chars → ~7500 bytes → ~3.75s → ceil(3.75 * 32) = 120
const source = { media_type: 'audio/ogg', data: 'A'.repeat(10000) };
const tokens = estimateAudioTokens(source);
expect(tokens).toBeGreaterThan(0);
expect(tokens).toBe(120);
});
it('returns at least 1 for very short audio', () => {
// 1 byte of base64 data → very tiny duration, but minimum is 1
const source = { media_type: 'audio/ogg', data: 'A' };
expect(estimateAudioTokens(source)).toBe(1);
});
it('returns 0 for empty audio data', () => {
const source = { media_type: 'audio/ogg', data: '' };
expect(estimateAudioTokens(source)).toBe(0);
});
it('longer audio data produces more tokens', () => {
const short = { media_type: 'audio/ogg', data: 'A'.repeat(1000) };
const long = { media_type: 'audio/ogg', data: 'A'.repeat(100000) };
expect(estimateAudioTokens(long)).toBeGreaterThan(estimateAudioTokens(short));
});
});
describe('estimateMessageTokens', () => {
it('returns 0 for empty array', () => {
expect(estimateMessageTokens([])).toBe(0);
@@ -38,6 +65,23 @@ describe('estimateMessageTokens', () => {
];
expect(estimateMessageTokens(messages)).toBe(10);
});
it('includes audio token estimate for multimodal messages', () => {
// Text part: 'hello' = 5 chars → ceil(5/4) = 2 text tokens
// Audio part: 10000 base64 chars → 120 audio tokens (see estimateAudioTokens test)
// Overhead: 4
// Total: 2 + 120 + 4 = 126
const messages = [
{
role: 'user' as const,
content: [
{ type: 'text' as const, text: 'hello' },
{ type: 'audio' as const, source: { media_type: 'audio/ogg', data: 'A'.repeat(10000) } },
],
},
];
expect(estimateMessageTokens(messages)).toBe(126);
});
});
describe('getContextWindow', () => {
+34 -5
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@@ -1,4 +1,4 @@
import type { Message } from '../models/types.js';
import type { Message, AudioSource } from '../models/types.js';
import { getMessageText } from '../models/media.js';
/**
@@ -36,6 +36,25 @@ export function estimateTokens(text: string): number {
return Math.ceil(text.length / 4);
}
/**
* Estimate token count for an audio content part.
*
* Heuristic:
* 1. Decode base64 length to bytes: `base64Length * 0.75`
* 2. Assume ~16 kbps bitrate (typical voice OGG/Opus): `bytes / 2000` → seconds
* 3. Estimate ~32 tokens per second of audio (Gemini-style rate)
*
* Returns at least 1 token for any non-empty audio data.
*/
export function estimateAudioTokens(audioSource: AudioSource): number {
const base64Length = audioSource.data.length;
if (base64Length === 0) {
return 0;
}
const durationSeconds = (base64Length * 0.75) / 2000;
return Math.max(1, Math.ceil(durationSeconds * 32));
}
/**
* Estimate the total token count for an array of messages.
*
@@ -43,10 +62,20 @@ export function estimateTokens(text: string): number {
* overhead of ~4 tokens to account for the role marker and separators.
*/
export function estimateMessageTokens(messages: Message[]): number {
return messages.reduce(
(sum, msg) => sum + estimateTokens(getMessageText(msg)) + MESSAGE_OVERHEAD_TOKENS,
0,
);
return messages.reduce((sum, msg) => {
let tokens = estimateTokens(getMessageText(msg)) + MESSAGE_OVERHEAD_TOKENS;
// Add audio token estimates for multimodal messages
if (Array.isArray(msg.content)) {
for (const part of msg.content) {
if (part.type === 'audio') {
tokens += estimateAudioTokens(part.source);
}
}
}
return sum + tokens;
}, 0);
}
/**
+1 -8
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@@ -5,7 +5,6 @@ import { mkdirSync } from 'fs';
// ── Config & Types ──
import type { Config } from '../config/index.js';
import type { AudioTranscriptionConfig } from '../models/media.js';
import type { ToolRegistry, ToolExecutor, BrowserManager } from '../tools/index.js';
import type { AgentConfigRegistry, AgentRouter } from '../agents/index.js';
import type { SandboxManager } from '../sandbox/index.js';
@@ -100,12 +99,6 @@ export async function startDaemon(config: Config): Promise<DaemonContext> {
const { skillRegistry, skillInstaller } = initSkills(config);
const { agentConfigRegistry, agentRouter, sandboxManager } = await initAgents({ config, lifecycle });
// ── Model & Prompt ──
const audioConfig: AudioTranscriptionConfig = {
endpoint: config.audio.transcription_endpoint,
apiKey: config.audio.transcription_api_key,
model: config.audio.transcription_model,
};
const modelRouter = createModelRouter(config);
// Restore persisted model tier
@@ -133,7 +126,7 @@ export async function startDaemon(config: Config): Promise<DaemonContext> {
const messageRouter = createMessageRouter({
sessionManager, modelRouter, systemPrompt, toolRegistry, toolExecutor,
config, memoryStore, agentConfigRegistry, agentRouter, sandboxManager, audioConfig,
config, memoryStore, agentConfigRegistry, agentRouter, sandboxManager,
});
channelRegistry.setMessageHandler(messageRouter.handler);
channelAgents = messageRouter.agents;
+48 -10
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@@ -1,6 +1,7 @@
import type { AudioTranscriptionConfig } from '../models/media.js';
import type { Attachment } from '../channels/types.js';
import { isSupportedAudio, transcribeAudio } from '../models/media.js';
import { supportsAudioInput } from '../models/capabilities.js';
import { AgentOrchestrator, type DelegationConfig } from '../backends/index.js';
import { OutboundAttachmentCollector } from '../backends/native/attachments.js';
import type { InboundMessage, OutboundMessage } from '../channels/index.js';
@@ -32,7 +33,6 @@ export function createMessageRouter(deps: {
agentConfigRegistry?: AgentConfigRegistry;
agentRouter?: AgentRouter;
sandboxManager?: SandboxManager;
audioConfig?: AudioTranscriptionConfig;
}): {
handler: (msg: InboundMessage, reply: (response: OutboundMessage) => Promise<void>) => Promise<void>;
agents: Map<string, { orchestrator: AgentOrchestrator; collector: OutboundAttachmentCollector }>;
@@ -213,18 +213,56 @@ export function createMessageRouter(deps: {
}
try {
// Transcribe audio attachments before processing
let messageText = msg.text;
const audioAttachments = (msg.attachments ?? []).filter((a: Attachment) => isSupportedAudio(a));
if (audioAttachments.length > 0 && deps.audioConfig) {
for (const att of audioAttachments) {
const transcript = await transcribeAudio(att, deps.audioConfig);
messageText = `[Voice message]: ${transcript}\n\n${messageText}`;
// Determine if the active model supports native audio input
let effectiveTier: string = deps.config.agents.primary_tier ?? 'default';
if (msg.metadata?.modelTier) {
effectiveTier = msg.metadata.modelTier as string;
} else if (deps.agentRouter && deps.agentConfigRegistry) {
const agentName = deps.agentRouter.resolve(msg.channel, msg.senderId);
if (agentName) {
const agentCfg = deps.agentConfigRegistry.get(agentName);
if (agentCfg?.modelTier) {
effectiveTier = agentCfg.modelTier;
}
}
}
const response = await agent.process(messageText, msg.attachments);
// Look up provider/model for the effective tier
const modelsConfig = deps.config.models as Record<string, { provider?: string; model?: string } | undefined>;
const tierConfig = modelsConfig[effectiveTier] ?? deps.config.models.default;
const modelProvider = tierConfig?.provider ?? deps.config.models.default.provider;
const modelName = tierConfig?.model ?? deps.config.models.default.model;
const supportsAudioOverride = (tierConfig as Record<string, unknown> | undefined)?.supports_audio as boolean | undefined;
const nativeAudioSupported = supportsAudioInput(modelProvider, modelName, supportsAudioOverride);
let messageText = msg.text;
let attachments = msg.attachments;
const audioAttachments = (msg.attachments ?? []).filter((a: Attachment) => isSupportedAudio(a));
if (audioAttachments.length > 0 && !nativeAudioSupported) {
// Model doesn't support native audio — transcribe via Whisper and strip audio attachments
const audioConfig: AudioTranscriptionConfig | undefined = deps.config.audio?.enabled && deps.config.audio.provider
? {
endpoint: deps.config.audio.provider.endpoint,
apiKey: deps.config.audio.provider.api_key,
model: deps.config.audio.provider.model,
}
: undefined;
if (audioConfig?.endpoint) {
for (const att of audioAttachments) {
const transcript = await transcribeAudio(att, audioConfig);
messageText = `[Voice message]: ${transcript}\n\n${messageText}`;
}
}
// Remove audio attachments so buildUserMessage doesn't create audio content parts
attachments = (msg.attachments ?? []).filter((a: Attachment) => !isSupportedAudio(a));
if (attachments.length === 0) { attachments = undefined; }
}
// If native audio IS supported, we pass attachments through unchanged —
// buildUserMessage() in the agent will create native audio content parts
const response = await agent.process(messageText, attachments);
const outboundAttachments = collector.drain();
await reply({
text: response,
+14 -1
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@@ -1,7 +1,8 @@
import type { Config } from '../config/index.js';
import type { Lifecycle } from './lifecycle.js';
import type { AudioTranscriptionConfig } from '../models/media.js';
import { HookEngine } from '../hooks/index.js';
import { ToolRegistry, ToolExecutor, ToolPolicy, allBuiltinTools, createWebSearchTools, createProcessTools, ProcessManager, BrowserManager, createBrowserTools } from '../tools/index.js';
import { ToolRegistry, ToolExecutor, ToolPolicy, allBuiltinTools, createWebSearchTools, createProcessTools, ProcessManager, BrowserManager, createBrowserTools, createAudioTranscribeTool } from '../tools/index.js';
export interface ToolsDeps {
config: Config;
@@ -52,6 +53,18 @@ export function initTools(deps: ToolsDeps): ToolsResult {
console.log('Process manager stopped');
});
// Register audio transcription tool if configured
if (config.audio?.enabled && config.audio.provider) {
const audioConfig: AudioTranscriptionConfig = {
endpoint: config.audio.provider.endpoint,
apiKey: config.audio.provider.api_key,
model: config.audio.provider.model,
};
const audioTool = createAudioTranscribeTool(audioConfig);
toolRegistry.register(audioTool);
console.log(`Audio transcription enabled (type=${config.audio.provider.type}, endpoint=${audioConfig.endpoint})`);
}
// Initialize browser manager and register browser tools (if enabled)
let browserManager: BrowserManager | undefined;
if (config.browser?.enabled) {
+7
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@@ -41,6 +41,13 @@ function toAnthropicContent(content: string | MessageContentPart[]): string | un
},
};
}
// Audio — Anthropic doesn't support native audio input; use transcript fallback
if (part.type === 'audio') {
if (part.source.transcript) {
return { type: 'text', text: `[Voice message]: ${part.source.transcript}` };
}
return { type: 'text', text: '[Audio message received but no transcript available]' };
}
return part;
});
}
+20 -10
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@@ -170,17 +170,27 @@ function convertMessages(messages: Message[]): BedrockMessage[] {
if (part.type === 'text') {
return { text: part.text } as ContentBlock;
}
// Image part — Bedrock uses { image: { format, source: { bytes } } }
if (part.source.type === 'base64' && part.source.data) {
return {
image: {
format: part.source.media_type.split('/')[1] as 'jpeg' | 'png' | 'gif' | 'webp',
source: { bytes: Uint8Array.from(atob(part.source.data), c => c.charCodeAt(0)) },
},
} as unknown as ContentBlock;
if (part.type === 'image') {
// Image part — Bedrock uses { image: { format, source: { bytes } } }
if (part.source.type === 'base64' && part.source.data) {
return {
image: {
format: part.source.media_type.split('/')[1] as 'jpeg' | 'png' | 'gif' | 'webp',
source: { bytes: Uint8Array.from(atob(part.source.data), c => c.charCodeAt(0)) },
},
} as unknown as ContentBlock;
}
// URL images not natively supported by Bedrock — fall back to text placeholder
return { text: `[Image: ${part.source.url ?? 'unsupported'}]` } as ContentBlock;
}
// URL images not natively supported by Bedrock — fall back to text placeholder
return { text: `[Image: ${part.source.url ?? 'unsupported'}]` } as ContentBlock;
// Audio — Bedrock doesn't support native audio input; use transcript fallback
if (part.type === 'audio') {
if (part.source.transcript) {
return { text: `[Voice message]: ${part.source.transcript}` } as ContentBlock;
}
return { text: '[Audio message received but no transcript available]' } as ContentBlock;
}
return { text: JSON.stringify(part) } as ContentBlock;
});
return { role, content: blocks };
+60
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@@ -0,0 +1,60 @@
import { describe, it, expect } from 'vitest';
import { supportsAudioInput } from './capabilities.js';
describe('supportsAudioInput', () => {
describe('audio-capable providers with modern models', () => {
it('returns true for gemini with a modern model', () => {
expect(supportsAudioInput('gemini', 'gemini-1.5-pro')).toBe(true);
});
it('returns true for openai with a modern model', () => {
expect(supportsAudioInput('openai', 'gpt-4o')).toBe(true);
});
it('returns true for github with a modern model', () => {
expect(supportsAudioInput('github', 'gpt-4o')).toBe(true);
});
});
describe('non-audio providers return false', () => {
const nonAudioProviders = [
'anthropic',
'bedrock',
'ollama',
'llamacpp',
'openrouter',
'zhipuai',
'xai',
] as const;
for (const provider of nonAudioProviders) {
it(`returns false for ${provider}`, () => {
expect(supportsAudioInput(provider, 'some-model')).toBe(false);
});
}
});
describe('model-specific exclusions', () => {
const excludedModels = ['gpt-3.5-turbo', 'gpt-4', 'gpt-4-turbo'];
for (const model of excludedModels) {
it(`returns false for openai/${model} despite provider being capable`, () => {
expect(supportsAudioInput('openai', model)).toBe(false);
});
it(`returns false for github/${model} despite provider being capable`, () => {
expect(supportsAudioInput('github', model)).toBe(false);
});
}
});
describe('unknown provider', () => {
it('returns false for a completely unknown provider', () => {
expect(supportsAudioInput('unknown-provider', 'some-model')).toBe(false);
});
it('returns false for an empty string provider', () => {
expect(supportsAudioInput('', 'some-model')).toBe(false);
});
});
});
+48
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@@ -0,0 +1,48 @@
/**
* Model capability detection for native audio input support.
*
* Models that support native audio will receive raw audio data directly.
* Models that don't will receive a Whisper transcript as text instead.
*/
export type ModelProvider = 'anthropic' | 'openai' | 'gemini' | 'bedrock' | 'github' | 'ollama' | 'llamacpp' | 'openrouter' | 'zhipuai' | 'xai';
/** Providers that support native audio input in their API. */
const AUDIO_CAPABLE_PROVIDERS = new Set<string>([
'gemini',
'openai',
'github', // GitHub Models uses OpenAI-compatible API
]);
/**
* Models known NOT to support audio despite their provider supporting it.
* For example, older OpenAI models or specialized models.
*/
const AUDIO_INCAPABLE_MODELS = new Set<string>([
// Older OpenAI models that predate audio input support
'gpt-3.5-turbo',
'gpt-4',
'gpt-4-turbo',
]);
/**
* Check whether a provider+model combination supports native audio input.
*
* Returns true if the model can receive raw audio data directly via its API,
* false if audio must be transcribed to text before sending.
*/
export function supportsAudioInput(provider: string, model: string, override?: boolean): boolean {
if (override !== undefined) return override;
// Provider must be in the capable set
if (!AUDIO_CAPABLE_PROVIDERS.has(provider)) {
return false;
}
// Check model-specific exclusions
if (AUDIO_INCAPABLE_MODELS.has(model)) {
return false;
}
return true;
}
+9
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@@ -188,6 +188,15 @@ function convertMessages(messages: Message[]): Content[] {
// so we pass as a text description. In production, you'd want to fetch + base64 encode.
return { text: `[Image: ${part.source.url ?? 'unavailable'}]` };
}
// Audio part — Gemini supports native audio via inlineData (same format as images)
if (part.type === 'audio') {
return {
inlineData: {
mimeType: part.source.media_type,
data: part.source.data,
},
};
}
return { text: JSON.stringify(part) };
});
+17
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@@ -36,6 +36,23 @@ function toOpenAIContent(content: string | MessageContentPart[]): string | OpenA
: part.source.url!;
return { type: 'image_url', image_url: { url } };
}
if (part.type === 'audio') {
// GitHub Models uses OpenAI-compatible API — native audio via input_audio
const formatMap: Record<string, string> = {
'audio/wav': 'wav',
'audio/mpeg': 'mp3',
'audio/mp3': 'mp3',
'audio/ogg': 'ogg',
'audio/webm': 'webm',
'audio/mp4': 'mp4',
'audio/x-m4a': 'mp4',
};
const format = formatMap[part.source.media_type] ?? 'wav';
return {
type: 'input_audio',
input_audio: { data: part.source.data, format },
} as unknown as OpenAI.ChatCompletionContentPart;
}
// Fallback — shouldn't happen
return { type: 'text', text: JSON.stringify(part) };
});
+6
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@@ -8,17 +8,23 @@ export { LlamaCppClient, type LlamaCppClientConfig } from './local/index.js';
export { ModelRouter, type ModelRouterConfig, type ModelTier } from './router.js';
export { withRetry, isRetryable, DEFAULT_RETRY_CONFIG, type RetryConfig } from './retry.js';
export { estimateCost, MODEL_COSTS_PER_MILLION } from './costs.js';
export { supportsAudioInput } from './capabilities.js';
export {
isSupportedImage,
isSupportedAudio,
attachmentToImageSource,
attachmentToAudioSource,
buildUserMessage,
getMessageText,
hasImages,
hasAudio,
stripAudioParts,
} from './media.js';
export type {
Message,
MessageContentPart,
ImageSource,
AudioSource,
ChatRequest,
ChatResponse,
ChatStreamEvent,
+212
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@@ -6,11 +6,14 @@ import {
isSupportedImage,
isSupportedAudio,
attachmentToImageSource,
attachmentToAudioSource,
buildUserMessage,
getMessageText,
getMessageTextWithTools,
normalizeMessagesForLocal,
hasImages,
hasAudio,
stripAudioParts,
transcribeAudio,
buildUserMessageWithAudio,
type AudioTranscriptionConfig,
@@ -820,3 +823,212 @@ describe('normalizeMessagesForLocal', () => {
]);
});
});
// ---------------------------------------------------------------------------
// 12. attachmentToAudioSource
// ---------------------------------------------------------------------------
describe('attachmentToAudioSource', () => {
// Positive: supported audio type with data returns AudioSource.
it('returns AudioSource for supported audio type with data', () => {
const result = attachmentToAudioSource(oggAudioAttachment);
expect(result).toEqual({
media_type: 'audio/ogg',
data: 'AAAAAAAAAAAAAAAAAAAA',
});
});
// Negative: unsupported MIME type returns null.
it('returns null for unsupported mime type', () => {
const result = attachmentToAudioSource(pdfAttachment);
expect(result).toBeNull();
});
// Negative: supported audio type but no data returns null.
it('returns null when no data present', () => {
const noDataAudio = makeAttachment({
mimeType: 'audio/ogg',
filename: 'voice.ogg',
});
const result = attachmentToAudioSource(noDataAudio);
expect(result).toBeNull();
});
// Negative: image attachment returns null.
it('returns null for image attachment', () => {
const result = attachmentToAudioSource(jpegBase64Attachment);
expect(result).toBeNull();
});
});
// ---------------------------------------------------------------------------
// 13. hasAudio
// ---------------------------------------------------------------------------
describe('hasAudio', () => {
// Negative: string content never has audio.
it('returns false for string content messages', () => {
const msg: Message = { role: 'user', content: 'no audio here' };
expect(hasAudio(msg)).toBe(false);
});
// Negative: multimodal messages with only text parts have no audio.
it('returns false for multimodal messages with only text parts', () => {
const msg: Message = {
role: 'user',
content: [{ type: 'text', text: 'just text' }],
};
expect(hasAudio(msg)).toBe(false);
});
// Negative: multimodal messages with only image parts have no audio.
it('returns false for multimodal messages with only image parts', () => {
const msg: Message = {
role: 'user',
content: [
{ type: 'image', source: { type: 'base64', media_type: 'image/jpeg', data: 'abc' } },
],
};
expect(hasAudio(msg)).toBe(false);
});
// Positive: multimodal messages with audio parts are detected.
it('returns true for multimodal messages with audio parts', () => {
const msg: Message = {
role: 'user',
content: [
{ type: 'audio', source: { media_type: 'audio/ogg', data: 'AAAA' } },
],
};
expect(hasAudio(msg)).toBe(true);
});
// Positive: multimodal messages with mixed image + audio parts are detected.
it('returns true for multimodal messages with mixed image+audio parts', () => {
const msg: Message = {
role: 'user',
content: [
{ type: 'image', source: { type: 'base64', media_type: 'image/png', data: 'img' } },
{ type: 'audio', source: { media_type: 'audio/ogg', data: 'AAAA' } },
],
};
expect(hasAudio(msg)).toBe(true);
});
});
// ---------------------------------------------------------------------------
// 14. stripAudioParts
// ---------------------------------------------------------------------------
describe('stripAudioParts', () => {
// String content passes through unchanged.
it('returns unchanged message for string content', () => {
const msg: Message = { role: 'user', content: 'plain text' };
const result = stripAudioParts(msg);
expect(result).toEqual({ role: 'user', content: 'plain text' });
});
// Audio part with transcript is replaced with transcript text.
it('replaces audio part with transcript text when transcript is present', () => {
const msg: Message = {
role: 'user',
content: [
{ type: 'text', text: 'Check this out' },
{ type: 'audio', source: { media_type: 'audio/ogg', data: 'AAAA', transcript: 'Hello world' } },
],
};
const result = stripAudioParts(msg);
expect(result.role).toBe('user');
expect(Array.isArray(result.content)).toBe(true);
const parts = result.content as Array<{ type: string; text?: string }>;
expect(parts).toHaveLength(2);
expect(parts[0]).toEqual({ type: 'text', text: 'Check this out' });
expect(parts[1]).toEqual({ type: 'text', text: '[Voice message]: Hello world' });
});
// Audio part without transcript is replaced with placeholder.
it('replaces audio part with placeholder when no transcript', () => {
const msg: Message = {
role: 'user',
content: [
{ type: 'text', text: 'Listen' },
{ type: 'audio', source: { media_type: 'audio/ogg', data: 'AAAA' } },
],
};
const result = stripAudioParts(msg);
expect(Array.isArray(result.content)).toBe(true);
const parts = result.content as Array<{ type: string; text?: string }>;
expect(parts).toHaveLength(2);
expect(parts[0]).toEqual({ type: 'text', text: 'Listen' });
expect(parts[1]).toEqual({ type: 'text', text: '[Audio message received but no transcript available]' });
});
// Non-audio parts (text + image) are kept unchanged.
it('keeps non-audio parts unchanged', () => {
const msg: Message = {
role: 'user',
content: [
{ type: 'text', text: 'caption' },
{ type: 'image', source: { type: 'base64', media_type: 'image/jpeg', data: 'abc' } },
],
};
const result = stripAudioParts(msg);
expect(result.content).toEqual([
{ type: 'text', text: 'caption' },
{ type: 'image', source: { type: 'base64', media_type: 'image/jpeg', data: 'abc' } },
]);
});
// Simplifies to string content when only one text part remains after stripping.
it('simplifies to string content when only one text part remains after stripping', () => {
const msg: Message = {
role: 'user',
content: [
{ type: 'audio', source: { media_type: 'audio/ogg', data: 'AAAA', transcript: 'Hi there' } },
],
};
const result = stripAudioParts(msg);
expect(result).toEqual({ role: 'user', content: '[Voice message]: Hi there' });
});
// Handles message with multiple audio parts.
it('handles message with multiple audio parts', () => {
const msg: Message = {
role: 'user',
content: [
{ type: 'audio', source: { media_type: 'audio/ogg', data: 'AAAA', transcript: 'First message' } },
{ type: 'text', text: 'in between' },
{ type: 'audio', source: { media_type: 'audio/mpeg', data: 'BBBB' } },
],
};
const result = stripAudioParts(msg);
expect(Array.isArray(result.content)).toBe(true);
const parts = result.content as Array<{ type: string; text?: string }>;
expect(parts).toHaveLength(3);
expect(parts[0]).toEqual({ type: 'text', text: '[Voice message]: First message' });
expect(parts[1]).toEqual({ type: 'text', text: 'in between' });
expect(parts[2]).toEqual({ type: 'text', text: '[Audio message received but no transcript available]' });
});
});
+80 -11
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@@ -3,7 +3,7 @@
*/
import type { Attachment } from '../channels/types.js';
import type { MessageContentPart, ImageSource, Message } from './types.js';
import type { MessageContentPart, ImageSource, AudioSource, Message } from './types.js';
/** MIME types that vision models generally accept. */
const SUPPORTED_IMAGE_TYPES = new Set([
@@ -73,34 +73,55 @@ export function attachmentToImageSource(attachment: Attachment): ImageSource | n
return null;
}
/** Convert a channel Attachment to a model AudioSource. Only base64 data is supported. */
export function attachmentToAudioSource(attachment: Attachment): AudioSource | null {
if (!isSupportedAudio(attachment)) {
return null;
}
if (!attachment.data) {
return null;
}
return {
media_type: attachment.mimeType,
data: attachment.data,
};
}
/**
* Build a multimodal Message from text + attachments.
* If there are no image attachments, returns a plain text Message.
* If there are image attachments, returns a Message with structured content parts.
* If there are no image or audio attachments, returns a plain text Message.
* If there are image/audio attachments, returns a Message with structured content parts.
*/
export function buildUserMessage(text: string, attachments?: Attachment[]): Message {
const imageParts: MessageContentPart[] = [];
const mediaParts: MessageContentPart[] = [];
if (attachments) {
for (const att of attachments) {
const source = attachmentToImageSource(att);
if (source) {
imageParts.push({ type: 'image', source });
const imageSource = attachmentToImageSource(att);
if (imageSource) {
mediaParts.push({ type: 'image', source: imageSource });
continue;
}
const audioSource = attachmentToAudioSource(att);
if (audioSource) {
mediaParts.push({ type: 'audio', source: audioSource });
}
}
}
// No images — return simple text message (preserves backward compat)
if (imageParts.length === 0) {
// No media — return simple text message (preserves backward compat)
if (mediaParts.length === 0) {
return { role: 'user', content: text };
}
// Build multimodal content: text first, then images
// Build multimodal content: text first, then media
const parts: MessageContentPart[] = [];
if (text) {
parts.push({ type: 'text', text });
}
parts.push(...imageParts);
parts.push(...mediaParts);
return { role: 'user', content: parts };
}
@@ -148,6 +169,13 @@ export function getMessageTextWithTools(message: Message): string {
const content = (block.content as string) ?? '';
const isError = block.is_error ? ' (error)' : '';
parts.push(`[Tool result${isError}: ${content}]`);
} else if (block.type === 'audio') {
const source = block.source as Record<string, unknown>;
if (source?.transcript) {
parts.push(`[Voice message]: ${source.transcript}`);
} else {
parts.push('[Audio attachment]');
}
}
}
return parts.join('\n');
@@ -298,3 +326,44 @@ export function hasImages(message: Message): boolean {
}
return message.content.some(p => p.type === 'image');
}
/**
* Check whether a message contains audio content parts.
*/
export function hasAudio(message: Message): boolean {
if (typeof message.content === 'string') {
return false;
}
return message.content.some(p => p.type === 'audio');
}
/**
* Strip audio parts from a message, replacing them with their transcripts as text.
* Used for model providers that don't support native audio input (Anthropic, Bedrock, local).
*/
export function stripAudioParts(message: Message): Message {
if (typeof message.content === 'string') {
return message;
}
const newParts: MessageContentPart[] = [];
for (const part of message.content) {
if (part.type === 'audio') {
// Replace audio with transcript text if available
if (part.source.transcript) {
newParts.push({ type: 'text', text: `[Voice message]: ${part.source.transcript}` });
} else {
newParts.push({ type: 'text', text: '[Audio message received but no transcript available]' });
}
} else {
newParts.push(part);
}
}
// If all that's left is a single text part, simplify to string content
if (newParts.length === 1 && newParts[0].type === 'text') {
return { ...message, content: newParts[0].text };
}
return { ...message, content: newParts };
}
+18
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@@ -28,6 +28,24 @@ function toOpenAIContent(content: string | MessageContentPart[]): string | OpenA
: part.source.url!;
return { type: 'image_url', image_url: { url } };
}
if (part.type === 'audio') {
// OpenAI native audio input via input_audio content part
// Determine format from MIME type (OpenAI supports: wav, mp3, flac, opus, ogg, webm)
const formatMap: Record<string, string> = {
'audio/wav': 'wav',
'audio/mpeg': 'mp3',
'audio/mp3': 'mp3',
'audio/ogg': 'ogg',
'audio/webm': 'webm',
'audio/mp4': 'mp4',
'audio/x-m4a': 'mp4',
};
const format = formatMap[part.source.media_type] ?? 'wav';
return {
type: 'input_audio',
input_audio: { data: part.source.data, format },
} as unknown as OpenAI.ChatCompletionContentPart;
}
// Fallback — shouldn't happen
return { type: 'text', text: JSON.stringify(part) };
});
+13 -1
View File
@@ -9,10 +9,21 @@ export interface ImageSource {
url?: string;
}
/** Audio source for multimodal content blocks. */
export interface AudioSource {
/** MIME type (e.g. "audio/ogg", "audio/mpeg", "audio/wav", "audio/webm"). */
media_type: string;
/** Base64-encoded audio data. */
data: string;
/** Optional transcript (from Whisper) — used when the model doesn't support native audio. */
transcript?: string;
}
/** Individual content part within a multimodal message. */
export type MessageContentPart =
| { type: 'text'; text: string }
| { type: 'image'; source: ImageSource };
| { type: 'image'; source: ImageSource }
| { type: 'audio'; source: AudioSource };
export interface Message {
role: 'user' | 'assistant';
@@ -43,6 +54,7 @@ export interface ModelToolCall {
export type ContentBlock =
| { type: 'text'; text: string }
| { type: 'image'; source: ImageSource }
| { type: 'audio'; source: AudioSource }
| { type: 'tool_use'; id: string; name: string; input: unknown };
// Tool result fed back into conversation
+214
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@@ -0,0 +1,214 @@
import type { Tool, ToolResult } from '../types.js';
interface AudioTranscribeArgs {
data?: string;
url?: string;
mime_type?: string;
language?: string;
prompt?: string;
}
const SUPPORTED_MIME_TYPES = new Set([
'audio/ogg',
'audio/mpeg',
'audio/mp3',
'audio/wav',
'audio/webm',
'audio/mp4',
'audio/x-m4a',
]);
const PROVIDER_ENDPOINTS: Record<string, string> = {
openai: 'https://api.openai.com/v1/audio/transcriptions',
groq: 'https://api.groq.com/openai/v1/audio/transcriptions',
ollama: 'http://localhost:11434/api/generate',
llamacpp: 'http://localhost:8080/v1/audio/transcriptions',
};
function validateInput(args: AudioTranscribeArgs): { valid: boolean; error?: string } {
const hasData = args.data !== undefined && args.data !== '';
const hasUrl = args.url !== undefined && args.url !== '';
if (!hasData && !hasUrl) {
return { valid: false, error: 'Either data or url must be provided' };
}
if (hasData && hasUrl) {
return { valid: false, error: 'Only one of data or url can be provided' };
}
if (hasData && !args.mime_type) {
return { valid: false, error: 'mime_type is required when using data' };
}
if (args.mime_type && !SUPPORTED_MIME_TYPES.has(args.mime_type)) {
return { valid: false, error: `Unsupported MIME type: ${args.mime_type}. Supported: ${Array.from(SUPPORTED_MIME_TYPES).join(', ')}` };
}
return { valid: true };
}
interface AudioTranscriptionConfig {
endpoint?: string;
apiKey?: string;
model?: string;
}
export function createAudioTranscribeTool(audioConfig?: AudioTranscriptionConfig): Tool {
return {
name: 'audio.transcribe',
description: 'Transcribe an audio file to text using a Whisper-compatible API. Accepts base64-encoded audio data or a URL to download to audio file.',
inputSchema: {
type: 'object',
properties: {
data: {
type: 'string',
description: 'Base64-encoded audio data (alternative to url)',
},
url: {
type: 'string',
description: 'URL to download to audio file (alternative to data)',
},
mime_type: {
type: 'string',
description: 'MIME type of audio file (required when using data, e.g., audio/ogg, audio/mpeg, audio/wav)',
},
language: {
type: 'string',
description: 'Language code (e.g., en, es, fr) - optional',
},
prompt: {
type: 'string',
description: 'Optional text to guide transcription (OpenAI/Groq/custom only)',
},
},
},
execute: async (rawArgs: unknown): Promise<ToolResult> => {
const args = rawArgs as AudioTranscribeArgs;
const validation = validateInput(args);
if (!validation.valid) {
return {
success: false,
output: '',
error: validation.error,
};
}
if (!audioConfig?.endpoint) {
return {
success: false,
output: '',
error: 'Audio transcription endpoint not configured. Set audio.endpoint in config.yaml',
};
}
try {
let filename = 'audio.bin';
let audioBlob: Blob | undefined;
if (args.data) {
const rawBuffer = Buffer.from(args.data, 'base64');
const audioBuffer = rawBuffer.buffer;
const extMap: Record<string, string> = {
'audio/ogg': 'ogg',
'audio/mpeg': 'mp3',
'audio/mp3': 'mp3',
'audio/wav': 'wav',
'audio/webm': 'webm',
'audio/mp4': 'm4a',
'audio/x-m4a': 'm4a',
};
const ext = extMap[args.mime_type!] || 'bin';
filename = `audio.${ext}`;
const mimeType = args.mime_type ?? 'audio/wav';
audioBlob = new Blob([audioBuffer], { type: mimeType });
} else if (args.url) {
const response = await fetch(args.url);
if (!response.ok) {
throw new Error(`Failed to download audio from ${args.url}: ${response.status} ${response.statusText}`);
}
const arrayBuffer = await response.arrayBuffer();
const urlExt = args.url.split('.').pop()?.split('?')[0] || 'bin';
filename = `audio.${urlExt}`;
audioBlob = new Blob([arrayBuffer], { type: 'audio/wav' });
}
const endpoint = audioConfig.endpoint;
const model = audioConfig.model ?? 'whisper-1';
if (endpoint === PROVIDER_ENDPOINTS.ollama) {
const ollamaResponse = await fetch(endpoint, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
model: model,
audio: args.data ?? args.url,
stream: false,
}),
});
if (!ollamaResponse.ok) {
throw new Error(`Ollama transcription failed: ${ollamaResponse.status}`);
}
const ollamaJson = await ollamaResponse.json() as { response?: string };
return {
success: true,
output: ollamaJson.response ?? 'No response from Ollama',
};
}
const formData = new FormData();
formData.append('file', audioBlob, filename);
formData.append('model', model);
if (args.language) {
formData.append('language', args.language);
}
if (args.prompt) {
formData.append('prompt', args.prompt);
}
const fetchOptions: RequestInit = {
method: 'POST',
body: formData,
};
const headers: Record<string, string> = {};
if (audioConfig.apiKey) {
headers['Authorization'] = `Bearer ${audioConfig.apiKey}`;
}
if (Object.keys(headers).length > 0) {
fetchOptions.headers = headers;
}
const response = await fetch(endpoint, fetchOptions);
if (!response.ok) {
const errorText = await response.text();
throw new Error(`Transcription request failed (${response.status}): ${errorText}`);
}
const json = await response.json() as { text: string };
return {
success: true,
output: json.text,
};
} catch (error) {
return {
success: false,
output: '',
error: error instanceof Error ? error.message : 'Unknown error occurred',
};
}
},
};
}
+1
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@@ -8,6 +8,7 @@ export { systemInfoTool } from './system-info.js';
export { webFetchTool } from './web-fetch.js';
export { createMediaSendTool } from './media-send.js';
export { createImageAnalyzeTool } from './image-analyze.js';
export { createAudioTranscribeTool } from './audio-transcribe.js';
export { createMemoryReadTool } from './memory-read.js';
export { createMemoryWriteTool } from './memory-write.js';
export { createMemorySearchTool } from './memory-search.js';
+1 -1
View File
@@ -5,7 +5,7 @@ export { ToolExecutor } from './executor.js';
export type { ToolExecutorConfig } from './executor.js';
export { ToolPolicy } from './policy.js';
export type { ToolPolicyContext } from './policy.js';
export { allBuiltinTools, createWebSearchTools, createProcessTools, ProcessManager, BrowserManager, createBrowserTools, createMediaSendTool, createSessionTools, createAgentsListTool, createMessageSendTool, createCronTools, createGmailTools, createGcalTools, createGdocsTools, createGdriveTools, createGtasksTools } from './builtin/index.js';
export { allBuiltinTools, createWebSearchTools, createProcessTools, ProcessManager, BrowserManager, createBrowserTools, createMediaSendTool, createAudioTranscribeTool, createSessionTools, createAgentsListTool, createMessageSendTool, createCronTools, createGmailTools, createGcalTools, createGdocsTools, createGdriveTools, createGtasksTools } from './builtin/index.js';
export type { WebSearchConfig } from './builtin/web-search.js';
export type { ProcessManagerConfig } from './builtin/process/index.js';
export type { BrowserManagerConfig } from './builtin/browser/index.js';