mirror of
https://github.com/langbot-app/LangBot.git
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43c0ba7e44
* feat(speech): implement TTS and STT model layer and pipeline stages (LANG-251) Co-authored-by: multica-agent <[email protected]> * fix(speech): fix invoke signatures and provider lookup in speech stages and model testing Co-authored-by: multica-agent <[email protected]> * feat(speech): rename STT to ASR, improve TTS voice parameter handling and failure recovery Co-authored-by: multica-agent <[email protected]> * fix(persistence, lint, web): fix migration revision id, legacy table check, ruff duplicates, and frontend types Co-authored-by: multica-agent <[email protected]> * fix(speech): restore migration and CI contracts Co-authored-by: multica-agent <[email protected]> * fix(pipeline,ui): fix select dropdown width gap, add speech to guided tour, and configure show_if for speech options Co-authored-by: multica-agent <[email protected]> * feat(speech,openclaw): support silk audio transcoding, graceful fallback, duration estimation, and multi-lang deploy docs Co-authored-by: multica-agent <[email protected]> * fix(audio): enhance ffmpeg executable detection via venv and imageio_ffmpeg Co-authored-by: multica-agent <[email protected]> * fix(provider): improve LiteLLM error classification and avoid falling back to Unknown error Co-authored-by: multica-agent <[email protected]> * fix(openclaw): serialize voice_item attributes and improve transcoding fallback logging Co-authored-by: multica-agent <[email protected]> * fix(audio,openclaw): handle transient TMPDIR deletion and add size attribute to voice_item Co-authored-by: multica-agent <[email protected]> * fix(openclaw): download and convert inbound voice messages and align voice sending protocol Co-authored-by: multica-agent <[email protected]> * fix(models): redesign add model popover tabs layout and include ASR/TTS models in provider counts and scanning Co-authored-by: multica-agent <[email protected]> * fix(audio): decrypt and transcode wecombot voice to mp3, align openclaw weixin voice delivery Co-authored-by: multica-agent <[email protected]> * fix(wecombot): transcode outbound voice to silk and support voice_delivery mode Co-authored-by: multica-agent <[email protected]> * fix(discord,web): map audio attachments to voice for ASR, prefer base64 voice in webui Co-authored-by: multica-agent <[email protected]> * fix(telegram): deliver voice replies in streaming and non-streaming modes with quote origin Co-authored-by: multica-agent <[email protected]> * feat(dingtalk): route voice messages through pipeline ASR and send TTS replies as voice Inbound DingTalk audio now arrives as a Voice component with its duration, so the pipeline speech recognition switch decides how it is transcribed. DingTalk's own recognition text is used only when the audio cannot be downloaded. Outbound Voice components are transcoded to ogg/opus, uploaded as voice media and sent as native sampleAudio messages in both the omni and legacy adapters. Audio over 60 seconds, or audio that cannot be transcoded or is rejected as a voice message, is sent as a file instead. Voice parts no longer leak into the reply text as "[Voice]". Also estimate ogg durations from the granule position and ignore non-audio MIME hints when extracting voice bytes, so ffmpeg can probe the input. Co-Authored-By: Claude Opus 5.5 <[email protected]> Co-authored-by: multica-agent <[email protected]> * fix(ci): include speech model counts in provider responses and fix lint/image build - Copy every count returned by get_provider_model_counts into the provider payload instead of indexing asr_count/tts_count, and update the test fakes to return the speech model counts. - Install libc6-dev in the runtime image so the pilk audio extra can compile. - Apply ruff and prettier formatting required by the lint jobs. Co-Authored-By: Claude Opus 5.5 <[email protected]> Co-authored-by: multica-agent <[email protected]> * test(e2e): expect the speech step in the pipeline setup guide Co-Authored-By: Claude Opus 5.5 <[email protected]> Co-authored-by: multica-agent <[email protected]> --------- Co-authored-by: multica-agent <[email protected]> Co-authored-by: Claude Opus 5.5 <[email protected]>
66 lines
2.5 KiB
Plaintext
66 lines
2.5 KiB
Plaintext
---
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title: "Docker Deployment"
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description: "Deploy LangBot with Docker Compose on Windows, Linux, or macOS."
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---
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## 1. Prepare your environment
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- Install Git.
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- **Windows / macOS**: install and start Docker Desktop.
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- **Linux**: install Docker and Docker Compose.
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## 2. Download the project
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Choose a regular directory that you can write to. On Linux, avoid system directories such as `/root` and `/etc`; we recommend a location under `/opt` so sandbox features are not blocked by security rules.
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Open a terminal in the directory where you want to store the project (PowerShell works on Windows), then run each line:
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```bash
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git clone https://github.com/langbot-app/LangBot
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cd LangBot/docker
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```
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### Mainland China: change the image source before startup (optional)
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If Docker Hub downloads are slow, edit `LangBot/docker/docker-compose.yaml` first. Replace every occurrence of `rockchin/langbot:latest` with:
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```text
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docker.langbot.app/langbot-public/rockchin/langbot:latest
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```
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Save the file before starting. No other configuration changes are needed.
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## 3. Start LangBot
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<Note>
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On a server, use a firewall to restrict dashboard and runtime ports to trusted sources only.
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</Note>
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In the same terminal, run:
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```bash
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docker compose --profile all up -d
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```
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The first startup downloads the container images. On Windows / macOS, keep Docker Desktop running.
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<Note>
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The official Docker images come pre-equipped with minimal `ffmpeg` and `pilk` audio tools. Native voice transcoding (including SILK for WeChat) is supported out-of-the-box without extra host configuration.
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</Note>
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## 4. Open the dashboard
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- **Local installation**: open `http://localhost:5300`.
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- **Server installation**: open `http://YOUR_SERVER_IP:5300` and make sure the firewall allows your device to access this port.
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Follow the on-screen initialization steps, then add a [model](/en/usage/models/readme) and a [bot](/en/usage/platforms/readme).
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## Beta releases (optional)
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To try a beta instead of the stable setup above, download the [dev/4.11.x Compose file](https://raw.githubusercontent.com/langbot-app/LangBot/dev/4.11.x/docker/docker-compose.yaml) as `compose.yaml` in a separate writable directory. Manually change **every** `rockchin/langbot` image to `rockchin/langbot:beta`: Core (`langbot`), plugin runtime (`langbot_plugin_runtime`), and Box (`langbot_box`, when present). The `beta` tag is updated with every beta release. From that directory, start or update with:
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```bash
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docker compose --profile all pull
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docker compose --profile all up -d
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```
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