Files
optimclaw/channels-src/telegram/Cargo.toml
T
serrrfiratandClaude Opus 4.6 bbb2d5c4dd feat: add audio transcription pipeline with OpenAI Whisper and Telegram voice notes (#90)
Adds speech-to-text support so WASM channels can emit audio attachments
that get automatically transcribed before reaching the agent. Telegram
voice notes are the first integration — downloaded via Bot API and
transcribed via OpenAI Whisper.

- Extend WIT with attachment-kind, attachment records on emitted-message
- Add Attachment/AttachmentKind types to channel.rs and IncomingMessage
- Add TranscriptionProvider trait, AudioFormat enum, TranscriptionMiddleware
- Implement OpenAI Whisper provider (multipart POST, 25MB limit)
- Add TranscriptionConfig + TranscriptionSettings with env var overrides
- Parse Telegram voice messages, download via getFile, emit as attachments
- Apply transcription in both process/dispatch emitted message paths
- Graceful degradation: download failures show "[Voice note: download failed]"
- Validate attachment sizes (10MB max), drop oversized without losing message

Co-Authored-By: Claude Opus 4.6 <[email protected]>
2026-02-21 14:56:08 +04:00

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TOML

[package]
name = "telegram-channel"
version = "0.1.0"
edition = "2021"
description = "Telegram Bot API channel for IronClaw"
license = "MIT OR Apache-2.0"
[lib]
crate-type = ["cdylib"]
[dependencies]
# WIT bindgen for WASM component model
wit-bindgen = "0.36"
# Serialization
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
# Exclude from parent workspace (this is a standalone WASM component)
[workspace]
[profile.release]
# Optimize for size
opt-level = "s"
lto = true
strip = true
codegen-units = 1