mirror of
https://github.com/hwchase17/langchain
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docs: ainetwork
update (#9871)
* Added links to the AI Network * Made title consistent to other tool kits * Added `integrations/providers/` integration card page * **No changes** in the example code!
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docs/extras/integrations/providers/ainetwork.mdx
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docs/extras/integrations/providers/ainetwork.mdx
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# AINetwork
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>[AI Network](https://www.ainetwork.ai/build-on-ain) is a layer 1 blockchain designed to accommodate
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> large-scale AI models, utilizing a decentralized GPU network powered by the
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> [$AIN token](https://www.ainetwork.ai/token), enriching AI-driven `NFTs` (`AINFTs`).
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## Installation and Setup
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You need to install `ain-py` python package.
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```bash
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pip install ain-py
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```
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You need to set the `AIN_BLOCKCHAIN_ACCOUNT_PRIVATE_KEY` environmental variable to your AIN Blockchain Account Private Key.
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## Toolkit
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See a [usage example](/docs/integrations/toolkits/ainetwork).
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```python
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from langchain.agents.agent_toolkits.ainetwork.toolkit import AINetworkToolkit
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```
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{
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"cells": [
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# AINetwork Toolkit\n",
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"# AINetwork\n",
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"\n",
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"The AINetwork Toolkit is a set of tools for interacting with the AINetwork Blockchain. These tools allow you to transfer AIN, read and write values, create apps, and set permissions for specific paths within the blockchain database."
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">[AI Network](https://www.ainetwork.ai/build-on-ain) is a layer 1 blockchain designed to accommodate large-scale AI models, utilizing a decentralized GPU network powered by the [$AIN token](https://www.ainetwork.ai/token), enriching AI-driven `NFTs` (`AINFTs`).\n",
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">\n",
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">The `AINetwork Toolkit` is a set of tools for interacting with the [AINetwork Blockchain](https://www.ainetwork.ai/public/whitepaper.pdf). These tools allow you to transfer `AIN`, read and write values, create apps, and set permissions for specific paths within the blockchain database."
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]
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},
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"attachments": {},
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"nbconvert_exporter": "python",
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"nbformat": 4,
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"nbformat_minor": 2
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