Liber SpeechAPI#

Use this skill for three related tasks:

• handle Telegram/openclaw voice-message workflows end to end
• convert user-provided text to speech on demand
• convert user-provided audio to text on demand

Follow this workflow#

1. Read references/config.md to resolve configuration from .env and config.json.
2. Read references/workflow.md for Telegram/openclaw voice-message handling.
3. Read references/api.md when you need endpoint and payload details.
4. Read references/parameters.md for detailed ASR/TTS parameter meanings and defaults.
5. Use scripts/summarize_for_voice.py only when a reply must be shortened for voice playback.
6. Use scripts/liber_speech_client.py for deterministic ASR/TTS calls instead of rewriting HTTP request logic.

Environment selection#

Prefer a shared python-env skill if it is available in the current environment.

If python-env is not available, use the local Python environment for this skill.

When running local Python commands:

• use Python 3.11 if available
• allow Python 3.10 when 3.11 is unavailable
• install only the minimal dependencies required by the bundled scripts
• do not hardcode secrets; read them from .env

Configuration model#

.env#

Load core service settings from .env in priority order:

1. environment variables ( LIBER_API_BASE_URL and LIBER_API_KEY)
2. ~/.openclaw/.env file (for global configuration)
3. the skill directory's .env file
4. the current working directory's .env file

Environment variables take the highest priority, followed by the global config file ~/.openclaw/.env, then local skill directory, and finally the current working directory.

Required settings:

• LIBER_API_BASE_URL
• LIBER_API_KEY

config.json#

Load detailed defaults from speechapi_config.json in ~/.openclaw/workspace/config/ to prevent overwrites during skill updates. Fallback to local config.json if the external config doesn't exist.

Key behavior:

• values of "default" or null are omitted from API requests
• Telegram-specific voice replies use global.telegram_tts_format
• direct text-to-speech uses tts.format as its default output format
• direct speech-to-text uses global.asr_output as its default output mode

Direct text-to-speech#

When the user explicitly asks to convert text to speech:

1. use scripts/liber_speech_client.py tts
2. default to wav unless the caller explicitly requests another format
3. include audio_prompt only when clone audio is enabled and the file exists
4. return the TTS result URL or saved output path to the caller

Direct speech-to-text#

When the user explicitly asks to convert audio to text:

1. use scripts/liber_speech_client.py asr
2. default to structured json output
3. return plain text only when the caller explicitly wants transcript text only

Telegram/openclaw workflow#

For incoming Telegram voice/audio:

1. download or access the local audio file
2. send it to ASR and extract the recognized text
3. send the transcript to openclaw
4. if the final reply is too long for voice, shorten it to within the configured summary limit
5. synthesize the final spoken reply with Telegram-compatible ogg_opus
6. return the resulting audio URL or saved output path to the caller

Telegram-specific guidance#

For Telegram voice replies:

• force ogg_opus output
• keep spoken output concise and natural
• if the original answer is verbose, preserve intent and key facts but compress aggressively
• avoid reading markdown, code blocks, tables, or long lists verbatim

Safety and robustness#

• never print or log API keys
• validate input file existence before ASR
• validate text is non-empty before TTS
• use request timeouts
• handle HTTP failures with clear error messages
• if TTS clone audio is configured but missing, continue without cloning instead of failing
• if summarization fails, fall back to conservative truncation rather than blocking the reply
• default direct ASR output to JSON and default direct TTS output to WAV unless the caller requests otherwise

Expected outputs#

Depending on the task, return one of:

• structured ASR JSON
• plain transcript text
• concise voice-ready text
• TTS result URL
• saved audio file path
• a structured JSON object containing transcript, summary, and synthesis result