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GaiaNet-AI/gaianet-node

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license: GPL-3.0

Language: Shell .

Install and run your own AI agent service

最后发布版本: 0.4.0 ( 2024-09-02 13:12:47)

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Run your own GaiaNet node

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Checkout our official docs and a Manning ebook on how to customize open source models.


Quick start

Install the default node software stack with a single line of command on Mac, Linux, or Windows WSL.

curl -sSfL 'https://github.com/GaiaNet-AI/gaianet-node/releases/latest/download/install.sh' | bash

Then, follow the prompt on your screen to set up the environment path. The command line will begin with source.

Initialize the node. It will download the model files and vector database files specified in the $HOME/gaianet/config.json file, and it could take a few minutes since the files are large.

gaianet init

Start the node.

gaianet start

The script prints the official node address on the console as follows. You can open a browser to that URL to see the node information and then chat with the AI agent on the node.

... ... https://0xf63939431ee11267f4855a166e11cc44d24960c0.us.gaianet.network

To stop the node, you can run the following script.

gaianet stop

Install guide

curl -sSfL 'https://raw.githubusercontent.com/GaiaNet-AI/gaianet-node/main/install.sh' | bash
The output should look like below:
[+] Downloading default config file ...

[+] Downloading nodeid.json ...

[+] Installing WasmEdge with wasi-nn_ggml plugin ...

Info: Detected Linux-x86_64

Info: WasmEdge Installation at /home/azureuser/.wasmedge

Info: Fetching WasmEdge-0.13.5

/tmp/wasmedge.2884467 ~/gaianet
######################################################################## 100.0%
~/gaianet
Info: Fetching WasmEdge-GGML-Plugin

Info: Detected CUDA version:

/tmp/wasmedge.2884467 ~/gaianet
######################################################################## 100.0%
~/gaianet
Installation of wasmedge-0.13.5 successful
WasmEdge binaries accessible

    The WasmEdge Runtime wasmedge version 0.13.5 is installed in /home/azureuser/.wasmedge/bin/wasmedge.


[+] Installing Qdrant binary...
    * Download Qdrant binary
################################################################################################## 100.0%

    * Initialize Qdrant directory

[+] Downloading the rag-api-server.wasm ...
################################################################################################## 100.0%

[+] Downloading dashboard ...
################################################################################################## 100.0%

By default, it installs into the $HOME/gaianet directory. You can also choose to install into an alternative directory.

curl -sSfL 'https://raw.githubusercontent.com/GaiaNet-AI/gaianet-node/main/install.sh' | bash -s -- --base $HOME/gaianet.alt

Initialize the node

gaianet init
The output should look like below:
[+] Downloading Llama-2-7b-chat-hf-Q5_K_M.gguf ...
############################################################################################################################## 100.0%############################################################################################################################## 100.0%

[+] Downloading all-MiniLM-L6-v2-ggml-model-f16.gguf ...

############################################################################################################################## 100.0%############################################################################################################################## 100.0%

[+] Creating 'default' collection in the Qdrant instance ...

    * Start a Qdrant instance ...

    * Remove the existed 'default' Qdrant collection ...

    * Download Qdrant collection snapshot ...
############################################################################################################################## 100.0%############################################################################################################################## 100.0%

    * Import the Qdrant collection snapshot ...

    * Recovery is done successfully

The init command initializes the node according to the $HOME/gaianet/config.json file. You can use some of our pre-set configurations. For example, the command below initializes a node with the llama-3 8B model with a London guidebook as knowledge base.

gaianet init --config https://raw.githubusercontent.com/GaiaNet-AI/node-configs/main/llama-3-8b-instruct_london/config.json

To see a list of pre-set configurations, you can do gaianet init --help. Besides a pre-set configurations like gaianet_docs, you can also pass a URL to your own config.json for the node to be initialized to the state you'd like.

If you need to init a node installed in an alternative directory, do this.

gaianet init --base $HOME/gaianet.alt

Start the node

gaianet start
The output should look like below:
[+] Starting Qdrant instance ...

    Qdrant instance started with pid: 39762

[+] Starting LlamaEdge API Server ...

    Run the following command to start the LlamaEdge API Server:

wasmedge --dir .:./dashboard --nn-preload default:GGML:AUTO:Llama-2-7b-chat-hf-Q5_K_M.gguf --nn-preload embedding:GGML:AUTO:all-MiniLM-L6-v2-ggml-model-f16.gguf rag-api-server.wasm --model-name Llama-2-7b-chat-hf-Q5_K_M,all-MiniLM-L6-v2-ggml-model-f16 --ctx-size 4096,384 --prompt-template llama-2-chat --qdrant-collection-name default --web-ui ./ --socket-addr 0.0.0.0:8080 --log-prompts --log-stat --rag-prompt "Use the following pieces of context to answer the user's question.\nIf you don't know the answer, just say that you don't know, don't try to make up an answer.\n----------------\n"


    LlamaEdge API Server started with pid: 39796

You can start the node for local use. It will be only accessible via localhost and not available on any of the GaiaNet domain's public URLs.

gaianet start --local-only

You can also start a node installed in an alternative base directory.

gaianet start --base $HOME/gaianet.alt

Stop the node

gaianet stop
The output should look like below:
[+] Stopping WasmEdge, Qdrant and frpc ...

Stop a node installed in an alternative base directory.

gaianet stop --base $HOME/gaianet.alt

Update configuration

Using gaianet config subcommand can update the key fields defined in the config.json file. You MUST run gaianet init again after you update the configuartion.

To update the chat field, for example, use the following command:

gaianet config --chat-url "https://huggingface.co/second-state/Llama-2-13B-Chat-GGUF/resolve/main/Llama-2-13b-chat-hf-Q5_K_M.gguf"

To update the chat_ctx_size field, for example, use the following command:

gaianet config --chat-ctx-size 5120

Below are all options of the config subcommand.

$ gaianet config --help

Usage: gaianet config [OPTIONS]

Options:
  --chat-url <url>               Update the url of chat model.
  --chat-ctx-size <val>          Update the context size of chat model.
  --embedding-url <url>          Update the url of embedding model.
  --embedding-ctx-size <val>     Update the context size of embedding model.
  --prompt-template <val>        Update the prompt template of chat model.
  --port <val>                   Update the port of LlamaEdge API Server.
  --system-prompt <val>          Update the system prompt.
  --rag-prompt <val>             Update the rag prompt.
  --rag-policy <val>             Update the rag policy [Possible values: system-message, last-user-message].
  --reverse-prompt <val>         Update the reverse prompt.
  --domain <val>                 Update the domain of GaiaNet node.
  --snapshot <url>               Update the Qdrant snapshot.
  --qdrant-limit <val>           Update the max number of result to return.
  --qdrant-score-threshold <val> Update the minimal score threshold for the result.
  --base <path>                  The base directory of GaiaNet node.
  --help                         Show this help message

Have fun!

最近版本更新:(数据更新于 2024-09-09 09:41:50)

2024-09-02 13:12:47 0.4.0

2024-08-08 18:55:14 0.3.2

2024-08-07 15:44:29 0.3.1

2024-08-05 11:07:57 0.3.0

2024-07-29 15:56:06 0.2.5

2024-07-25 12:08:34 0.2.4

2024-07-20 10:09:11 0.2.3

2024-07-11 15:53:02 0.2.2

2024-07-09 21:37:19 0.2.1

2024-07-09 00:40:34 0.2.0

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