mirror of
https://github.com/AstrBotDevs/AstrBot
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93 lines
4.2 KiB
Markdown
93 lines
4.2 KiB
Markdown
# Deploy via Compshare
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Compshare is UCloud's GPU compute rental and LLM API platform, offering compute resources for AI, deep learning, and scientific workloads.
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AstrBot provides an Ollama + AstrBot one-click self-deployment image on Compshare, and also supports Compshare model APIs.
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## Use the Ollama + AstrBot One-Click Image
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> Default image spec: RTX 3090 24GB + Intel 16-core + 64GB RAM + 200GB system disk. Billing is pay-as-you-go, so please monitor your balance.
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1. Register a Compshare account via [this link](https://passport.compshare.cn/register?referral_code=FV7DcGowN4hB5UuXKgpE74).
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2. Open the [AstrBot image page](https://www.compshare.cn/images/0oX7xoGrzfre) and create an instance.
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3. After deployment, open `JupyterLab` from the [console](https://console.compshare.cn/light-gpu/console/resources).
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4. In JupyterLab, create a new terminal and run:
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```bash
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cd
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./astrbot_booter.sh
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```
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If startup succeeds, you should see output similar to:
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```txt
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(py312) root@f8396035c96d:/workspace# cd
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./astrbot_booter.sh
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Starting AstrBot...
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Starting ollama...
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Both services started in the background.
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```
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After startup, open `http://<instance-public-ip>:6185` in your browser to access the AstrBot dashboard.
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You can find the public IP in Console -> Basic Network (Public).
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> It may take around 30 seconds before the page becomes reachable.
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Use the random password printed in startup logs for first-time login, and use the username shown in the logs (usually `astrbot`). Change it immediately after login.
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After logging in, you can reset your password and continue setup.
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The instance imports `Ollama-DeepSeek-R1-32B` by default.
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## Use Other Models
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### Pull Models with Ollama
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The image includes Ollama. You can pull any model and host it locally on the instance.
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1. Choose a model from [Ollama Search](https://ollama.com/search).
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2. Connect to the instance terminal via SSH (from Compshare Console -> Instance List -> Console Command and Password).
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3. Run `ollama pull <model-name>` and wait for completion.
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4. In AstrBot Dashboard -> Providers, edit `ollama_deepseek-r1`, update the model name, and save.
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### Use Compshare Model API
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AstrBot supports direct access to model APIs provided by Compshare.
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1. Find the model you want at [Compshare Model Center](https://console.compshare.cn/light-gpu/model-center).
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2. In AstrBot Dashboard -> Providers, click `+ Add Provider`, then choose Compshare.
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If Compshare is not listed, choose OpenAI-compatible access and set API Base URL to `https://api.modelverse.cn/v1`.
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Enter the model name in model configuration and save.
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### Test
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In AstrBot Dashboard, click `Chat` and run `/provider` to view and switch your active provider.
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Then send a normal message to test whether the model works.
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## Connect to Messaging Platforms
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You can follow the latest platform integration guides in the [AstrBot Documentation](https://docs.astrbot.app/en/what-is-astrbot.html).
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Open the docs and check the left sidebar under Messaging Platforms.
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- Lark: [Connect to Lark](https://docs.astrbot.app/en/platform/lark.html)
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- LINE: [Connect to LINE](https://docs.astrbot.app/en/platform/line.html)
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- DingTalk: [Connect to DingTalk](https://docs.astrbot.app/en/platform/dingtalk.html)
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- WeCom: [Connect to WeCom](https://docs.astrbot.app/en/platform/wecom.html)
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- WeChat Official Account: [Connect to WeChat Official Account](https://docs.astrbot.app/en/platform/weixin-official-account.html)
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- QQ Official Bot: [Connect to QQ Official API](https://docs.astrbot.app/en/platform/qqofficial/webhook.html)
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- KOOK: [Connect to KOOK](https://docs.astrbot.app/en/platform/kook.html)
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- Slack: [Connect to Slack](https://docs.astrbot.app/en/platform/slack.html)
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- Discord: [Connect to Discord](https://docs.astrbot.app/en/platform/discord.html)
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- More methods: [AstrBot Documentation](https://docs.astrbot.app/en/what-is-astrbot.html)
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## More Features
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For more capabilities, see the [AstrBot Documentation](https://docs.astrbot.app/en/what-is-astrbot.html).
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