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* 重构文档结构:移除 docs 目录,调整文件组织结构 * Reorder "插件 SDK API" section in docs.json * Refactor and clarify various documentation sections * Refine warnings and info boxes across multiple docs * Refactor and simplify Japanese documentation content * Update package.json to include mintlify as a dependency and add pnpm-lock.yaml for dependency management * Update blog link and add description in docs.json --------- Co-authored-by: Junyan Chin <[email protected]>
64 lines
3.0 KiB
Plaintext
64 lines
3.0 KiB
Plaintext
---
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title: "Network Configuration Details"
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---
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<Info title="Some messaging platforms (such as personal QQ accounts) require an independent protocol endpoint to process messages. If you are using such messaging platforms, please refer to the following network configuration.">
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At the same time, if your LangBot instance needs to connect to other services running in containers (such as Ollama), you can also refer to the following configuration, replacing `messaging platform` with `the service you want to connect to`.
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</Info>
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LangBot and some messaging platforms can both be deployed using Docker. Below are network configuration details for four different scenarios.
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<Info title="Table of Contents">
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[[toc]]
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</Info>
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## Both LangBot and Messaging Platform Running in Docker Containers
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If the messaging platform (NapCat/Lagrange) and LangBot are both started using Docker, you need to configure Docker's network connection.
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Create a new network:
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```bash
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docker network create langbot-network
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```
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Add network configuration to the `docker-compose.yaml` file in the LangBot directory (add to the `services.langbot` field, and add the `langbot-network` network configuration under the `networks` field):
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```yaml
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services:
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langbot:
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...
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networks:
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- langbot-network
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...
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networks:
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langbot-network:
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external: true
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```
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Then add the same network configuration to the messaging platform's `docker-compose.yaml` file (if started directly with docker run command, add `--network langbot-network` to the startup command). Then in the messaging platform configuration file, change the IP address in the WS reverse connection address to `langbot` (for example: `ws://langbot:2280/ws`).
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Restart both containers.
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## Only LangBot Running in Docker Container
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When only LangBot is deployed using Docker, ports 2280 to 2290 are already mapped to outside the container by default. At this time, LangBot can only act as a WebSocket server, accepting connections from messaging platforms as clients.
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Please set the messaging platform to ReverseWebSocket (called `reverse ws` or `WebSocket client`), with the port corresponding to the port enabled by LangBot's aiocqhttp adapter, connecting to local 127.0.0.1.
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## Neither LangBot nor Messaging Platform Using Docker Deployment
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Configure the messaging platform and LangBot settings according to the documentation, set both ports to the same unused port, and both connect to local 127.0.0.1.
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## Only Messaging Platform Running in Docker Container (Not Recommended)
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<Warning>
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Only supports Linux, or other systems that support host mode docker networking.
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</Warning>
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Currently, LangBot's aiocqhttp adapter only supports reverse WebSocket connections. When the messaging platform runs in a Docker container while LangBot runs directly on the host machine, the messaging platform must act as a client connecting to LangBot. In this case, you can only set the messaging platform's network to `host` mode, and then set its WS connection address to 127.0.0.1, with the port corresponding to the port enabled by LangBot's aiocqhttp adapter.
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