feat(telegram): [[audio_as_voice]] tag support#490
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Hi, thank you for the PR. A few notes:
Also, is this PR effective in practice? AFAIK Telegram voice notes (with the waveforms that you mean) require ogg/opus, but we don’t transcode the audio the agent generates (unless that is specific to your workflow). How often will Clawdbot produce ogg/opus unless you add conversion? |
- Add [[audio_as_voice]] detection to splitMediaFromOutput() - Pass audioAsVoice through onBlockReply callback chain - Buffer audio blocks during streaming, flush at end with correct flag - Non-audio media still streams immediately - Fix: emit payloads with audioAsVoice flag even if text is empty Co-authored-by: Manuel Hettich <17690367+ManuelHettich@users.noreply.github.com>
- Keep audioAsVoice-only payloads from being filtered out - Allow empty payloads through when they carry the flag - Remove temporary debug logs around audioAsVoice buffering Co-authored-by: Manuel Hettich <17690367+ManuelHettich@users.noreply.github.com>
- Share voice compatibility decision logic across send + bot flows - Keep voice fallback logging consistent - Simplify voice handling in the audio send path
- Allow flag-only chunks so audio_as_voice propagates - Keep reply item scan aware of empty audio tag blocks Co-authored-by: Manuel Hettich <17690367+ManuelHettich@users.noreply.github.com>
Co-authored-by: Manuel Hettich <17690367+ManuelHettich@users.noreply.github.com>
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Landed via temp rebase onto main.\n\n- Gate: pnpm lint && pnpm build && pnpm test\n- Land commit: c56b2f4\n- Merge commit: f4b3869\n\nThanks @jarvis-medmatic! |
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What
Adds a new
[[audio_as_voice]]tag that makes audio blocks in Telegram responses render as voice notes instead of audio files.Changes:
[[audio_as_voice]]tag insplitMediaFromOutput()voice.tsmodule to centralize voice compatibility decisionsWhy
Voice notes feel more natural in chat contexts — they show waveforms, auto-play inline, and match user expectations for conversational audio. This gives agents a way to opt into that UX.
Testing
send.test.tsAI Disclosure 🤖
Built by Jarvis (Claude) with Manuel's guidance. Fully tested, code reviewed and understood.