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Add ATTPs SDK Docs (#247)
* init ATTPs Doc * modify link * format * remove DS_Store * remove code * add CN version and JA version * modify some introduction * modify cn version * format * format again * remove link --------- Co-authored-by: Simon Shieh <simonshieh@Simons-MacBook-Pro.local>
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@ -249,6 +249,11 @@ English/[简体中文](https://github.com/deepseek-ai/awesome-deepseek-integrati
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<td> <a href="https://github.com/Upsonic/Upsonic">Upsonic</a> </td>
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<td> <a href="https://github.com/Upsonic/Upsonic">Upsonic</a> </td>
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<td>Upsonic offers a cutting-edge enterprise-ready agent framework where you can orchestrate LLM calls, agents, and computer use to complete tasks cost-effectively.</td>
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<td>Upsonic offers a cutting-edge enterprise-ready agent framework where you can orchestrate LLM calls, agents, and computer use to complete tasks cost-effectively.</td>
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</tr>
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</tr>
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<tr>
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<td> <img src="https://avatars.githubusercontent.com/u/173022229" alt="Icon" width="64" height="auto" /> </td>
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<td> <a href="https://github.com/APRO-com">ATTPs</a> </td>
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<td>A foundational protocol framework for trusted communication between agents. Any agents based on DeepSeek, By integrating with the <a href="https://docs.apro.com/attps">ATTPs</a> SDK, can access features such as agent registration, sending verifiable data, and retrieving verifiable data. So that it can make trusted communication with agents from other platforms. </td>
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</tr>
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</table>
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</table>
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### RAG frameworks
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### RAG frameworks
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@ -171,6 +171,11 @@
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<td> <a href="https://github.com/bob-robert-ai/bob/blob/main/alice/readme.md">Alice</a> </td>
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<td> <a href="https://github.com/bob-robert-ai/bob/blob/main/alice/readme.md">Alice</a> </td>
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<td>一个基于 ICP 的自主 AI 代理，利用 DeepSeek 等大型语言模型进行链上决策。Alice 结合实时数据分析和独特的个性，管理代币、挖掘 BOB 并参与生态系统治理。</td>
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<td>一个基于 ICP 的自主 AI 代理，利用 DeepSeek 等大型语言模型进行链上决策。Alice 结合实时数据分析和独特的个性，管理代币、挖掘 BOB 并参与生态系统治理。</td>
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</tr>
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</tr>
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<tr>
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<td> <img src="https://avatars.githubusercontent.com/u/173022229" alt="图标" width="64" height="auto" /> </td>
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<td> <a href="https://github.com/APRO-com">ATTPs</a> </td>
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<td>一个用于Agent之间可信通信的基础协议框架，基于DeekSeek的Agent，可以接入<a href="https://docs.apro.com/attps">ATTPs</a>的SDK，获得注册Agent，发送可验证数据，获取可验证数据等功能，从而与其他平台的Agent进行可信通信。</td>
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</tr>
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</table>
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</table>
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### RAG 框架
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### RAG 框架
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@ -158,6 +158,11 @@ DeepSeek API を人気のソフトウェアに統合します。API キーを取
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<td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/anda/README.md">Anda</a> </td>
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<td> <a href="https://github.com/deepseek-ai/awesome-deepseek-integration/blob/main/docs/anda/README.md">Anda</a> </td>
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<td>高度にコンポーザブルで自律的かつ永続的な記憶を持つAIエージェントネットワークを構築するために設計されたRustフレームワーク。</td>
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<td>高度にコンポーザブルで自律的かつ永続的な記憶を持つAIエージェントネットワークを構築するために設計されたRustフレームワーク。</td>
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</tr>
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<tr>
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<td> <img src="https://avatars.githubusercontent.com/u/173022229" alt="Icon" width="64" height="auto" /> </td>
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<td> <a href="https://github.com/APRO-com">ATTPs</a> </td>
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<td>エージェント間の信頼できる通信のための基本プロトコルフレームワークです。利用者は<a href="https://docs.apro.com/attps">ATTPs</a>のSDKを導入することで、エージェントの登録、検証可能なデータの送信、検証可能なデータの取得などの機能を利用することができます。</td>
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</tr>
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</table>
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</table>
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### RAG フレームワーク
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### RAG フレームワーク
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379
docs/ATTPs/README.md
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379
docs/ATTPs/README.md
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@ -0,0 +1,379 @@
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# APRO-COM/ATTPs-framework
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Foundation framework that enables advanced agent based on DeepSeek interactions, data verification, and price queries with [ATTPs Protocol](https://docs.apro.com/attps) . It streamlines agent creation, verification processes, and provides a flexible framework for building robust agent-based solutions.
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For more details about ATTPs, you can see the [whitepaper here](https://www.apro.com/attps.pdf)
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## Overview
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The ATTPs framework bridges agent-based logic with the DeepSeek. It handles agent registration, data verification, and price queries, empowering both automated and user-driven workflows.
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## Features
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### Agent Operations
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- **Agent Creation**: Deploy new agents with custom settings
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- **Registration**: Register agents on-chain or via standardized processes
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- **Multi-Signer Framework**: Supports threshold-based approval flows
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### Data Verification
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- **Chain Validation**: Verify data authenticity on-chain
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- **Transaction Execution**: Handle verification logic with built-in security checks
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- **Auto-Hashing**: Convert raw data to hashed formats when needed
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- **Metadata Parsing**: Validate content type, encoding, and compression
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### Price Queries
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- **Live Price Data**: Fetch price information for various pairs
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- **Format Validation**: Normalize user query inputs to standard trading-pair formats
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- **APIs Integration**: Retrieve real-time or near-real-time pricing information
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## Security Features
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### Access Control
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- **Private Key Management**: Safe usage of private keys for transaction signing
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- **Environment Variables**: Secure injection of credentials
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- **On-Chain Validation**: Leverage on-chain contract checks
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### Verification
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- **Input Validation**: Strict schema checks before on-chain operations
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- **Transaction Receipts**: Provide verifiable transaction details
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- **Error Handling**: Detailed error logs for quick debugging
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## Performance Optimization
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1. **Cache Management**
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- Implement caching for frequent queries
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- Monitor retrieval times and cache hits
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2. **Network Efficiency**
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- Batch requests where possible
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- Validate response parsing to reduce overhead
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## System Requirements
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- Node.js 16.x or higher
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- Sufficient network access to on-chain endpoints
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- Basic configuration of environment variables
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- Minimum 4GB RAM recommended
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## Troubleshooting
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1. **Invalid Agent Settings**
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- Ensure signers and threshold are correct
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- Validate agentHeader for proper UUIDs and numeric values
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2. **Verification Failures**
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- Check the input data formats
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- Confirm environment variables are set
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3. **Price Query Errors**
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- Verify the trading pair format
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- Check external API availability
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## Safety & Security
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1. **Credential Management**
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- Store private keys securely
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- Do not commit secrets to version control
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2. **Transaction Limits**
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- Configure thresholds to mitigate abuse
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- Log transaction attempts and failures
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3. **Monitoring & Logging**
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- Track unusual activity
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- Maintain detailed audit logs
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# Usage with js
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## Installation
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```bash
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npm install ai-agent-sdk-js
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```
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## Configuration
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Configure the plugin by setting environment variables or runtime settings:
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- APRO_RPC_URL
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- APRO_PROXY_ADDRESS
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- APRO_PRIVATE_KEY
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- APRO_CONVERTER_ADDRESS
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- APRO_AUTO_HASH_DATA
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## Usage with js sdk
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To use the AI Agent SDK, import the library and create an instance of the `Agent` class:
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```typescript
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import { AgentSDK } from 'ai-agent-sdk-js'
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const agent = new AgentSDK({
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rpcUrl: 'https://bsc-testnet-rpc.publicnode.com',
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privateKey: '',
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proxyAddress: '',
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})
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// if you want the SDK to hash the data automatically
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const autoHashAgent = new AgentSDK({
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rpcUrl: 'https://bsc-testnet-rpc.publicnode.com',
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privateKey: '',
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proxyAddress: '',
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autoHashData: true,
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converterAddress: '',
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})
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```
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To create a new agent, call the `createAndRegisterAgent` method:
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```typescript
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import type { AgentSettings, TransactionOptions } from 'ai-agent-sdk-js'
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import { randomUUID } from 'node:crypto'
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import { parseUnits } from 'ethers'
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// prepare the agent settings
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const agentSettings: AgentSettings = {
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signers: [],
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threshold: 3,
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converterAddress: '',
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agentHeader: {
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messageId: randomUUID(),
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sourceAgentId: randomUUID(),
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sourceAgentName: 'AI Agent SDK JS',
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targetAgentId: '',
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timestamp: Math.floor(Date.now() / 1000),
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messageType: 0,
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priority: 1,
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ttl: 3600,
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},
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}
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// prepare the transaction options
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const nonce = await agent.getNextNonce()
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const transactionOptions: TransactionOptions = {
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nonce,
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gasPrice: parseUnits('1', 'gwei'),
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gasLimit: BigInt(2000000),
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}
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const tx = await agent.createAndRegisterAgent({ agentSettings, transactionOptions })
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// or you can leave the transaction options empty, the SDK will use the auto-generated values
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// const tx = await agent.createAndRegisterAgent({ agentSettings })
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```
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The SDK also provides the tool to extract the new agent address from the transaction receipt:
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```typescript
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import { parseNewAgentAddress } from 'ai-agent-sdk-js'
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const receipt = await tx.wait()
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const agentAddress = parseNewAgentAddress(receipt)
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```
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To verify the data integrity, call the `verify` method:
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```typescript
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import type { MessagePayload } from 'ai-agent-sdk-js'
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import { hexlify, keccak256, toUtf8Bytes } from 'ethers'
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// prepare the payload
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const data = hexlify(toUtf8Bytes('Hello World!'))
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const dataHash = keccak256(data)
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const payload: MessagePayload = {
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data,
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dataHash,
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signatures: [
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{
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r: '',
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s: '',
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v: 1, // 1, 0, 27, 28 are allowed
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},
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// ...
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],
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metadata: {
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contentType: '',
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encoding: '',
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compression: '',
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},
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}
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const tx = await agent.verify({ payload, agent: '', digest: '' })
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```
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If the data is obtained from the APRO DATA pull service, you can use the auto-hash feature:
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```typescript
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import type { MessagePayload } from 'ai-agent-sdk-js'
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const payload: MessagePayload = {
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data: '0x...',
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signatures: [
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{
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r: '',
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s: '',
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v: 1, // 1, 0, 27, 28 are allowed
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},
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// ...
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],
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metadata: {
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contentType: '',
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encoding: '',
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compression: '',
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},
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}
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// When
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const tx = await autoHashAgent.verify({ payload, agent: '', digest: '' })
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```
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For more examples, see the [test](https://github.com/APRO-com/ai-agent-sdk-js/tree/main/test) cases.
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# Usage with Python
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## Installation
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```bash
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$ pip3 install ai-agent-sdk
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```
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## Usage with Python SDK
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### Initialize AgentSDK
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```python
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from ai_agent.agent import AgentSDK
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AGENT_PROXY_ADDRESS = "0x07771A3026E60776deC8C1C61106FB9623521394"
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NETWORK_RPC = "https://testnet-rpc.bitlayer.org"
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agent = AgentSDK(endpoint_uri=NETWORK_RPC, proxy_address=AGENT_PROXY_ADDRESS)
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```
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To create a new agent, call the createAndRegisterAgent method:
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```python
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import time
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from ai_agent.entities import (
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AgentSettings,
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AgentHeader,
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MessageType,
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Priority
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)
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from ai_agent.utils import (
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generate_uuid_v4
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)
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AGENT_SETTINGS = AgentSettings(
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signers=[
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"0x4b1056f504f32c678227b5Ae812936249c40AfBF",
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"0xB973476e0cF88a3693014b99f230CEB5A01ac686",
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"0x6cF0803D049a4e8DC01da726A5a212BCB9FAC1a1",
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"0x9D46daa26342e9E9e586A6AdCEDaD667f985567B",
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"0x33AF673aBcE193E20Ee94D6fBEb30fEf0cA7015b",
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"0x868D2dE4a0378450BC62A7596463b30Dc4e3897E",
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"0xD4E157c36E7299bB40800e4aE7909DDcA8097f67",
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"0xA3866A07ABEf3fD0643BD7e1c32600520F465ca8",
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"0x62f642Ae0Ed7F12Bc40F2a9Bf82ccD0a3F3b7531"
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],
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threshold=2,
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converter_address="0xaB303EF87774D9D259d1098E9aA4dD6c07F69240",
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agent_header=AgentHeader(
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version="1.0",
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message_id="d4d0813f-ceb7-4ce1-8988-12899b26c4b6",
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source_agent_id="da70f6b3-e580-470f-b88b-caa5369e7778",
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source_agent_name="APRO Pull Mode Agent",
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target_agent_id="",
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timestamp=int(time.time()),
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message_type=MessageType.Event,
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priority=Priority.Low,
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ttl=60 * 60
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)
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)
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dynamic_setting = AGENT_SETTINGS
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dynamic_setting.agent_header.source_agent_id = generate_uuid_v4()
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dynamic_setting.agent_header.target_agent_id = generate_uuid_v4()
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dynamic_setting.agent_header.message_id = generate_uuid_v4()
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user_owner = agent.add_account("0x_user_private_key")
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result = agent.create_and_register_agent(
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transmitter="",
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nonce=None,
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settings=AGENT_SETTINGS)
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print("created agent:", result)
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```
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To verify the data integrity, call the verify method:
|
||||||
|
|
||||||
|
```python
|
||||||
|
from ai_agent.entities import (
|
||||||
|
AgentMessagePayload,
|
||||||
|
Proofs,
|
||||||
|
AgentMetadata,
|
||||||
|
)
|
||||||
|
|
||||||
|
AGENT_CONTRACT = "0xA1903361Ee8Ec35acC7c8951b4008dbE8D12C155"
|
||||||
|
AGENT_SETTING_DIGEST = "0x010038164dba6abffb84eb5cb538850d9bc5d8f815149a371069b3255fd177a4"
|
||||||
|
AGENT_PAYLOAD = AgentMessagePayload(
|
||||||
|
data="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",
|
||||||
|
data_hash="0x53d9f133f1265bd4391fcdf89b63424cbcfd316c8448f76cc515647267ac0a8e",
|
||||||
|
proofs=Proofs(
|
||||||
|
zk_proof="0x",
|
||||||
|
merkle_proof="0x",
|
||||||
|
signature_proof="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",
|
||||||
|
),
|
||||||
|
meta_data=AgentMetadata(
|
||||||
|
content_type="0x",
|
||||||
|
encoding="0x",
|
||||||
|
compression="0x"
|
||||||
|
)
|
||||||
|
)
|
||||||
|
user_owner = agent.add_account("0x_user_private_key")
|
||||||
|
result = agent.verify(
|
||||||
|
transmitter=user_owner,
|
||||||
|
nonce=None,
|
||||||
|
agent_contract=AGENT_CONTRACT,
|
||||||
|
settings_digest=AGENT_SETTING_DIGEST,
|
||||||
|
payload=AGENT_PAYLOAD
|
||||||
|
)
|
||||||
|
print("verify:", result)
|
||||||
|
```
|
||||||
|
For more examples, see the [test cases](https://github.com/APRO-com/ai-agent-sdk-python/tree/main/tests).
|
||||||
|
|
||||||
|
|
||||||
|
# Other SDKs
|
||||||
|
|
||||||
|
JAVA: https://github.com/APRO-com/ai-agent-sdk-java
|
||||||
|
|
||||||
|
RUST: https://github.com/APRO-com/ai-agent-sdk-rust
|
||||||
|
|
||||||
|
GOLANG: https://github.com/APRO-com/ai-agent-sdk-go
|
||||||
|
|
||||||
|
# Support
|
||||||
|
|
||||||
|
For issues or feature requests:
|
||||||
|
1. Check existing documentation
|
||||||
|
2. Submit a GitHub issue with relevant details
|
||||||
|
3. Include transaction logs and system info if applicable
|
||||||
|
|
||||||
|
# Contributing
|
||||||
|
|
||||||
|
We welcome pull requests! Refer to the project’s CONTRIBUTING.md and open discussions to coordinate efforts.
|
||||||
|
|
||||||
|
# Credits
|
||||||
|
|
||||||
|
- [APRO](https://www.apro.com/) - Plugin sponsor and partner
|
||||||
|
- [ai-agent-sdk-js](https://github.com/APRO-com/ai-agent-sdk-js) - Underlying agent SDK
|
||||||
|
- [ethers.js](https://docs.ethers.io/) - Transaction and contract interaction
|
||||||
|
- Community contributors for feedback and testing
|
||||||
|
|
||||||
|
For more information about Apro plugin capabilities:
|
||||||
|
|
||||||
|
- [Apro Documentation](https://docs.apro.com/en)
|
||||||
|
|
||||||
|
# License
|
||||||
|
|
||||||
|
This plugin is part of the Eliza project. Refer to the main project repository for licensing details.
|
||||||
Loading…
Reference in New Issue
Block a user