Overview

Kaze AI is a Solana agent. It provides a set of powerful tools and utilities for developers, enabling them to automate various interactions with the Solana ecosystem. By utilizing Kaze AI, developers can create, manage, and optimize their Solana-based applications with ease, unlocking the full potential of decentralized finance (DeFi) and other blockchain-based solutions.

What is Kaze AI?

At its core, Kaze AI is a Solana agent. The framework offers a wide range of features, from performance tracking to token management, allowing developers to interact with the blockchain in a fully automated, efficient manner. It acts as a bridge between Solana-based agents and the decentralized network, providing easy-to-use APIs and utilities that interact with smart contracts, wallets, and other blockchain elements.

Use Cases

1. Automated Transactions and Performance Tracking

Kaze AI helps developers automate complex tasks such as monitoring transactions per second (TPS), tracking network performance, and managing liquidity pools on the Solana blockchain. Through automation, developers can ensure the continuous optimization of their decentralized applications (dApps) without needing to manually monitor every transaction.

2. Token Management

Developers can easily interact with SPL tokens, including retrieving token insights, creating custom tokens, and launching innovative tokens on the Solana network. This can be used for various purposes, such as creating new decentralized finance (DeFi) protocols, launching new token projects, or integrating tokenomics into existing projects.

3. Liquidity Pool Creation

Kaze AI allows for the automated creation and management of dynamic liquidity pools in Solana-based decentralized exchanges (DEXs). Developers can define parameters such as fees, activation types, and price bins, enabling more flexible and customizable liquidity pool setups.

4. Solana Network Integration

By leveraging Kaze AI, developers can effortlessly integrate their applications with the Solana blockchain, utilizing the full power of Solana's high-performance network to create faster, cheaper, and scalable decentralized applications.

Key Features

• Automated Interaction: Simplify and automate Solana agent interactions with blockchain elements.

• Performance Monitoring: Track key performance metrics like TPS and network performance.

• Token Management: Easily create, manage, and retrieve token data for your projects.

• Custom Liquidity Pools: Create and manage dynamic DLMM liquidity pools for decentralized exchanges.

• Seamless Integration: Connect Solana agents with the blockchain through easy-to-use APIs and utilities.

Why Kaze AI?

Kaze AI is designed to save developers time and effort by automating complex processes on the Solana blockchain. Whether you are working on a DeFi application, managing tokens, or interacting with smart contracts, Kaze AI simplifies the development process and ensures efficient and automated interactions with the Solana network. With Kaze AI, developers can focus on building innovative solutions, while the framework handles the complexity of blockchain interaction.

In summary, Kaze AI is your go-to solution for automating Solana agent interactions and enhancing the efficiency of your blockchain-based applications. Whether you're building decentralized finance protocols, launching new tokens, or optimizing liquidity pools, Kaze AI provides the tools to seamlessly integrate with Solana's fast and scalable blockchain.

Code Breakdown

1. Endpoint Interaction

The staking function interacts with the Jup API to prepare a staking transaction:

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url = f"https://worker.jup.ag/blinks/swap/So11111111111111111111111111111111111111112/jupSoLaHXQiZZTSfEWMTRRgpnyFm8f6sZdosWBjx93v/{amount}"  
payload = {"account": str(agent.wallet_address)}  

async with aiohttp.ClientSession() as session:  
    async with session.post(url, json=payload) as res:  
        if res.status != 200:  
            raise Exception(f"Failed to fetch transaction: {res.status}")  
        data = await res.json()  

2. Transaction Deserialization and Signing

The API returns a serialized transaction that needs to be deserialized, updated, and signed by the user's wallet:

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txn = VersionedTransaction.deserialize(base64.b64decode(data["transaction"]))  
latest_blockhash = await agent.connection.get_latest_blockhash()  
txn.message.recent_blockhash = latest_blockhash.value.blockhash  
txn.sign([agent.wallet])  

3. Submitting and Confirming the Transaction

The transaction is submitted to the Solana network, and its status is confirmed:

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signature = await agent.connection.send_raw_transaction(  
    txn.serialize(),  
    opts={"skip_preflight": False, "max_retries": 3},  
)  

await agent.connection.confirm_transaction(  
    signature,  
    commitment=Confirmed,  
    last_valid_block_height=latest_blockhash.value.last_valid_block_height,  
)  

4. Error Handling

If any part of the staking process fails, meaningful exceptions are raised for debugging:

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except Exception as e:  
    raise Exception(f"jupSOL staking failed: {str(e)}")  

Key Features

1. Effortless Staking

   • Automatically interacts with Jup API to stake SOL.

2. Transaction Safety

   • Ensures the transaction uses the latest blockhash and is properly signed.

3. Error Resilience

   • Catches and reports API or network issues to ensure reliable staking operations.

4. Minimal Setup

   • Only requires the agent instance and the desired staking amount.

Check Token Balances

Learn how to retrieve the balance of SOL or SPL tokens for any wallet using the BalanceFetcher class. This guide walks you through the process of fetching balances with ease.

Overview

The BalanceFetcher class is designed to:

• Fetch the native SOL balance of a wallet.

• Retrieve the balance of SPL tokens linked to a specified token mint address.

• Handle errors gracefully, ensuring reliable balance checks.

Code Explanation

1. Fetching SOL Balance

When no token address is provided, the method retrieves the native SOL balance of the wallet. The balance is returned in SOL (UI units).

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response = await agent.connection.get_balance(agent.wallet_address, commitment=Confirmed)  
return response.value / LAMPORTS_PER_SOL  

2. Fetching SPL Token Balance

If a token mint address is specified, the method queries the balance of the associated SPL token account.

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response = await agent.connection.get_token_account_balance(token_address, commitment=Confirmed)  
return float(response.value.ui_amount)  

3. Error Handling

The method ensures any issues, such as network errors or invalid token accounts, are caught and raised with meaningful error messages.

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except Exception as error:  
    raise Exception(f"Failed to get balance: {str(error)}") from error  

Key Features

1. Dual Balance Retrieval

   • Fetch native SOL balances directly.

   • Retrieve SPL token balances with precision, accounting for token decimals.

2. Error Resilience Handles unexpected issues like missing accounts or network failures gracefully.

3. Simplified Usage A single method call to fetch balances for any supported token type.

How to Use

• Setup: Import the BalanceFetcher class and initialize a SolanaAgentKit with your wallet.

• Fetching SOL Balance Example:

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  balance = await BalanceFetcher.get_balance(agent)  
  print(f"SOL Balance: {balance} SOL")  

• Fetching SPL Token Balance Example:

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  token_address = Pubkey("Your SPL Token Mint Address Here")  
  balance = await BalanceFetcher.get_balance(agent, token_address)  
  print(f"SPL Token Balance: {balance}")  

Error Scenarios

• Missing Token Account: If the specified token account does not exist, the method will return None.

• Network Errors: Ensure the RPC connection is active and functional.

• Invalid Token Address: Double-check the token mint address for accuracy.

Code Breakdown

1. Determine Rent Exemption

Calculate the minimum balance required for rent exemption to initialize the token account:

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lamports = await connection.get_minimum_balance_for_rent_exemption(MINT_LEN)  

2. Mint Keypair Generation

A new keypair is generated to serve as the token's mint address:

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mint = Keypair()  
logger.info(f"Generated mint address: {mint.pubkey()}")  

3. Create Account for Token Mint

An account is created with the calculated lamports for rent exemption and linked to the token program:

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create_account_ix = create_account(  
    CreateAccountParams(  
        from_pubkey=agent.wallet_address,  
        to_pubkey=mint.pubkey(),  
        lamports=lamports,  
        space=MINT_LEN,  
        program_id=TOKEN_PROGRAM_ID,  
    )  
)  

4. Initialize the Token Mint

The mint is initialized with the specified decimals and authorities:

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initialize_mint_ix = initialize_mint(  
    program_id=TOKEN_PROGRAM_ID,  
    mint=mint.pubkey(),  
    decimals=decimals,  
    mint_authority=Pubkey.from_string(agent.wallet_address),  
    freeze_authority=Pubkey.from_string(agent.wallet_address),  
)  

5. Submit and Confirm the Transaction

Both instructions are added to a transaction, signed, and submitted to the blockchain:

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transaction = Transaction()  
transaction.add(create_account_ix, initialize_mint_ix)  

tx_signature = await agent.connection.send_transaction(  
    transaction, agent.wallet, mint, opts={"preflight_commitment": Confirmed}  
)  

6. Error Handling

If an error occurs during the process, it is logged and raised:

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except Exception as e:  
    logger.error(f"Token deployment failed: {str(e)}")  
    raise Exception(f"Token deployment failed: {str(e)}")  

Key Features

1. Customizable Parameters

   • Define the number of decimals to suit the token's utility (default: 9).

2. Efficient Resource Management

   • Automatically calculates the required lamports for rent exemption.

3. Seamless Integration

   • Combines account creation and mint initialization into a single transaction.

4. Error Logging

   • Comprehensive logs ensure smooth debugging and transparency.

5. Simplified Outputs

   • Returns the new token's mint address and transaction signature.

Code Breakdown

1. Request SOL Airdrop

Send an airdrop request to the Solana faucet for a specified wallet:

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• Amount: 5 SOL (adjustable).

• Network: Devnet/Testnet only.

2. Confirm Transaction

Once the faucet provides SOL, confirm the transaction to ensure successful completion:

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3. Error Handling

Capture and handle potential errors during the airdrop process:

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Key Features

1. Development-Only

   • Designed specifically for Solana’s devnet/testnet environments.

2. Quick SOL Access

   • Instantly funds wallets with 5 SOL for development and testing purposes.

3. Error Resilience

   • Handles missing transaction signatures, RPC issues, and unexpected errors gracefully.

4. Transaction Confirmation

   • Ensures that funds are credited by confirming the transaction after the request.

Code Breakdown

1. Burn Tokens

Burns all tokens in a specified token account:

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• Token Balance Check: Fetches the account’s token balance before proceeding.

• Mint Address: Identifies the token mint associated with the account.

2. Close Account

Closes the token account to reclaim rent-exempt lamports:

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• Destination: Remaining lamports are transferred to the owner.

3. Enhanced Compute Budget

Adjusts the compute budget to handle complex operations:

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4. Transaction Execution

Signs and sends the transaction:

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• Ensures secure and authenticated processing.

Key Features

1. Comprehensive Functionality

   • Handles both token burning and account closure within a single process.

2. Batch Processing

   • The process_multiple_accounts method allows for the efficient processing of multiple accounts:

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3. Error Handling

   • Captures errors during balance fetching, instruction preparation, and transaction execution:

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4. Compute Budget Adjustment

   • Ensures successful execution of complex transactions by increasing compute unit limits.

Overview

The TradeManager class enables seamless token swaps through Jupiter Exchange by providing:

• Flexible Inputs: Swap between various tokens, including USDC and SOL.

• Slippage Control: Fine-tune transactions with customizable slippage tolerance.

• Reliable Transaction Execution: Ensures accurate blockhash management and transaction confirmation.

Code Explanation

1. Quoting a Swap

The trade method begins by fetching a quote for the desired token swap:

• Sends a GET request to Jupiter's API with input/output token mints, input amount, and slippage tolerance.

• Retrieves quote data for further processing.

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quote_url = (
    f"{JUP_API}/quote?"
    f"inputMint={input_mint}"
    f"&outputMint={output_mint}"
    f"&amount={int(input_amount * LAMPORTS_PER_SOL)}"
    f"&slippageBps={slippage_bps}"
    f"&onlyDirectRoutes=true"
    f"&maxAccounts=20"
)

2. Fetching the Swap Transaction

After obtaining a quote, the method:

• Sends a POST request with the quote and user information to fetch a prebuilt swap transaction.

• Validates the swap transaction response.

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async with session.post(
    f"{JUP_API}/swap",
    json={ "quoteResponse": quote_data, "userPublicKey": str(agent.wallet_address), ... },
) as swap_response:
    swap_data = await swap_response.json()

3. Signing and Sending the Transaction

The retrieved swap transaction is:

• Deserialized and updated with the latest blockhash for validity.

• Signed locally using the agent’s wallet.

• Sent to the blockchain for execution.

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swap_transaction_buf = base64.b64decode(swap_data["swapTransaction"])
transaction = VersionedTransaction.deserialize(swap_transaction_buf)
transaction.sign([agent.wallet])
signature = await agent.connection.send_raw_transaction(transaction.serialize())

4. Confirming the Transaction

The transaction is confirmed to ensure successful execution:

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await agent.connection.confirm_transaction(
    signature, commitment=Confirmed, last_valid_block_height=latest_blockhash.value.last_valid_block_height
)

Key Features

1. Customizable Slippage Control Set slippage tolerance in basis points (bps) to protect against significant price movements during swaps.

2. Dynamic Quote Retrieval Retrieve quotes dynamically based on market conditions and user preferences.

3. Prebuilt Swap Transactions Use Jupiter's API to fetch ready-to-execute transactions for streamlined processing.

4. Reliable Transaction Handling Handle recent blockhash updates, local signing, and transaction confirmation for end-to-end reliability.

How to Use

• Setup: Initialize SolanaAgentKit with your wallet and configure necessary constants like JUP_API.

• Example Swap: Swap 10 USDC for SOL with 1% slippage.

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  from solders.pubkey import Pubkey  
  
  output_mint = Pubkey("So11111111111111111111111111111111111111112")  # SOL mint
  signature = await TradeManager.trade(agent, output_mint, 10, slippage_bps=100)
  print(f"Swap successful: {signature}")

Error Handling

• Invalid API Responses: Ensure all API responses are validated for HTTP status codes and content integrity.

• Transaction Failures: Retry mechanisms and error messages provide clarity in case of failures.

• Blockhash Expiry: Refresh blockhash dynamically to prevent transaction expiration.

This page provides a comprehensive guide to transferring native SOL and SPL tokens usingKaze AI’s toolkit. Below is an explanation of the key components, functionalities, and implementation steps.

Overview

The SolanaTransferHelper and TokenTransferManager classes enable developers to execute, manage, and verify token transfers seamlessly. These tools support:

• Transferring native SOL to any recipient.

• Transferring SPL tokens, including validation and associated token account management.

• Tracking transfer history and verifying transaction success.

Code Explanation

1. Native SOL Transfer

The transfer_native_sol method performs native SOL transfers by:

• Creating a transaction that specifies the sender, recipient, and amount.

• Sending the transaction using the AsyncClient and awaiting confirmation.

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async def transfer_native_sol(agent: SolanaAgentKit, to: Pubkey, amount: float) -> str:
    # Create and send transaction for native SOL transfer

2. SPL Token Transfer

The transfer_spl_tokens method allows SPL token transfers with:

• Validation of token mint initialization and associated token accounts.

• Calculation of the exact token amount, accounting for decimal precision.

• Execution of the transfer using the transfer_checked instruction.

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async def transfer_spl_tokens(rpc_client: AsyncClient, agent: SolanaAgentKit, recipient: Pubkey, spl_token: Pubkey, amount: float) -> str:
    # Perform token transfer with validation and error handling

3. Confirming Transactions

The confirm_transaction method ensures successful processing of transactions.

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async def confirm_transaction(agent: SolanaAgentKit, signature: str) -> None:
    # Confirm transaction on the blockchain

4. Transfer Execution

The TokenTransferManager class manages transfers by:

• Handling both SOL and SPL token transfers dynamically.

• Storing a history of transfers and verifying transaction success.

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async def execute_transfer(to: Pubkey, amount: float, mint: Optional[Pubkey] = None) -> TransferResult:
    # Execute either SOL or SPL token transfer based on parameters

Key Features

1. Native SOL Transfers Send SOL with just a recipient's address and the desired amount.

2. SPL Token Transfers Fully handle SPL token transfers, including mint validation and error detection.

3. Transaction Verification Verify the success of transfers directly through the blockchain.

4. Transfer History Management Access a complete record of executed transfers for auditing and debugging.

How to Use

• Setup: Import the required classes and initialize a SolanaAgentKit with your wallet.

• Native SOL Transfer Example:

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  await SolanaTransferHelper.transfer_native_sol(agent, recipient_address, amount)

• SPL Token Transfer Example:

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  await SolanaTransferHelper.transfer_spl_tokens(rpc_client, agent, recipient_address, token_mint_address, amount)

• Verification Example:

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  is_successful = await TokenTransferManager.verify_transfer(transfer_result)

Error Handling

• Ensure the mint and associated token accounts are initialized for SPL transfers.

• Handle insufficient funds or invalid decimal values gracefully.

Overview

The StakeManager class leverages Jupiter's exchange API to enable:

• Staking SOL with Jupiter's staking mechanism.

• Dynamic Transaction Handling: Fetch and execute transactions programmatically.

• Error Handling: Robust mechanisms to ensure seamless transaction execution.

Code Explanation

1. Jupiter Exchange API Integration

The method stake_with_jup facilitates SOL staking by:

• Building a request to Jupiter's API for staking.

• Fetching a serialized transaction.

• Deserializing, signing, and sending the transaction to the Solana network.

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async def stake_with_jup(agent: SolanaAgentKit, amount: float) -> str:
    # Stake SOL using Jupiter's API

Key Steps:

1. Build API Request: Use the Jupiter API endpoint with the agent's wallet address and desired staking amount.

2. Deserialize Transaction: Decode the base64 transaction response.

3. Sign & Send Transaction: Sign the transaction locally and send it to the blockchain.

2. Error Handling

Handles potential issues during the staking process:

• API request failures.

• Invalid transaction responses.

• Transaction confirmation timeouts.

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try:
    # Execute staking logic
except Exception as e:
    raise Exception(f"jupSOL staking failed: {str(e)}")

Key Features

1. Seamless SOL Staking Interact with Jupiter's API to stake SOL without manually crafting transactions.

2. Dynamic Blockhash Management Automatically fetch and update recent blockhashes for transaction validity.

3. Robust Error Handling Comprehensive exception handling ensures reliable execution even in edge cases.

4. Blockchain Integration Directly interface with Solana’s network for transaction execution and confirmation.

How to Use

• Setup: Ensure the SolanaAgentKit is initialized with your wallet and RPC connection.

• Example Usage:

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  transaction_signature = await StakeManager.stake_with_jup(agent, 1.5)
  print(f"Transaction successful: {transaction_signature}")

• Error Example:

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  try:
      transaction_signature = await StakeManager.stake_with_jup(agent, 1.5)
  except Exception as error:
      print(f"Staking failed: {error}")

Error Handling

• Transaction Errors: Handle issues like invalid responses or signing errors gracefully.

• API Failures: Check for non-200 status codes and log detailed error messages.

• Confirmation Timeouts: Implement retry mechanisms for transaction confirmations.

Overview

The RaydiumManager class provides two core functionalities for liquidity trading:

• Buying Tokens on Raydium: Swap SOL for a selected token with slippage control.

• Selling Tokens on Raydium: Sell tokens for SOL, supporting slippage tolerance and customizable percentages of token balance.

Code Explanation

1. Buy Operation with Raydium

The buy_with_raydium method allows you to buy tokens using SOL, with slippage control and automatic WSOL (Wrapped SOL) handling:

• Fetches pool keys for the selected pair address.

• Calculates the amount of token to buy based on the provided input amount and slippage tolerance.

• Ensures the presence of a token account for the buyer, creating one if necessary.

• Executes the swap with dynamically calculated values for the amount out.

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client = Client(agent.rpc_url)
pool_keys = fetch_pool_keys(pair_address)
amount_in = int(sol_in * SOL_DECIMAL)
base_reserve, quote_reserve, token_decimal = get_token_reserves(pool_keys)
amount_out = sol_for_tokens(sol_in, base_reserve, quote_reserve)
slippage_adjustment = 1 - (slippage / 100)
minimum_amount_out = int(amount_out * slippage_adjustment * 10**token_decimal)

2. Sell Operation with Raydium

The sell_with_raydium method enables selling tokens for SOL with customizable percentage of token balance and slippage control:

• Retrieves token balance and checks if it's sufficient for selling.

• Calculates the amount of SOL to receive based on the reserves and slippage.

• Ensures the proper setup of WSOL accounts for token conversion during the swap.

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token_balance = get_token_balance(str(mint))
token_balance = token_balance * (percentage / 100)
base_reserve, quote_reserve, token_decimal = get_token_reserves(pool_keys)
amount_out = tokens_for_sol(token_balance, base_reserve, quote_reserve)
slippage_adjustment = 1 - (slippage / 100)
amount_out_with_slippage = amount_out * slippage_adjustment
minimum_amount_out = int(amount_out_with_slippage * SOL_DECIMAL)

3. Token and WSOL Account Setup

Both buy and sell operations require setting up an associated token account if one doesn’t exist. Additionally, WSOL (Wrapped SOL) accounts are created for the swap, and closed afterward to save on costs.

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wsol_token_account = Pubkey.create_with_seed(payer_keypair.pubkey(), seed, TOKEN_PROGRAM_ID)
create_wsol_account_instr = create_account_with_seed(...)
init_wsol_account_instr = initialize_account(...)

4. Swap Execution

The core swap logic involves creating swap instructions and compiling them into a transaction. Both buying and selling methods follow similar patterns in this section. After compiling the instructions, a transaction is submitted to the blockchain for confirmation.

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swap_instructions = make_swap_instruction(amount_in, minimum_amount_out, token_account_in, token_account_out, pool_keys, payer_keypair)
compiled_message = MessageV0.try_compile(...)

Key Features

1. Buy and Sell Operations

   • Execute token swaps using SOL or other tokens.

   • Adjustable slippage tolerance to protect against price fluctuations.

2. WSOL (Wrapped SOL) Handling

   • Automatically wrap and unwrap SOL for token swaps.

   • Reduce transaction fees by closing unnecessary accounts post-swap.

3. Transaction Confirmation

   • Ensure the transaction is successfully executed with confirmation checks.

   • Monitor for any errors and retry the transaction if needed.

4. Account and Token Management

   • Dynamically create associated token accounts and handle liquidity pools.

   • Ensure proper token account balance before initiating the trade.

How to Use

• Setup:

  • Initialize the SolanaAgentKit with your wallet and RPC connection.

  • Pass the appropriate parameters (pair address, slippage, amount) when calling the trade functions.

• Example Buy Operation:

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  pair_address = "Raydium_Pool_Address"
  signature = await RaydiumManager.buy_with_raydium(agent, pair_address, sol_in=0.05, slippage=3)
  print(f"Transaction Signature: {signature}")

• Example Sell Operation:

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  pair_address = "Raydium_Pool_Address"
  success = await RaydiumManager.sell_with_raydium(agent, pair_address, percentage=50, slippage=2)
  print(f"Transaction success: {success}")

Error Handling

• Insufficient Funds:

  • Ensure enough tokens or SOL is available before initiating the transaction.

• Slippage Exceedance:

  • Adjust slippage parameters if the market is volatile to prevent failed transactions.

• Account Management Failures:

  • Handle errors related to token account creation and ensure all necessary accounts are set up properly.

1. Seamless Jupiter Exchange Integration

Kaze AI provides a seamless integration with Jupiter Exchange, the leading decentralized exchange aggregator on the Solana blockchain. Jupiter aggregates liquidity from various DEXs, providing the best possible rates for token swaps. With this integration, developers can easily access the deepest liquidity and execute token swaps directly from their applications.

Key Capabilities:

• Integrate Jupiter Exchange: Effortlessly integrate Jupiter’s powerful liquidity aggregation into your app.

• Access best rates: Execute trades with optimal rates by leveraging liquidity from multiple DEXs.

• Reduce slippage: Minimize price impact by ensuring the best prices through aggregation.

Example Use Cases:

• Integrating Jupiter Exchange into a decentralized finance (DeFi) platform to provide token swaps with the best rates.

• Using Jupiter aggregation for token swaps within dApps that require liquidity from multiple Solana-based DEXs.

2. Efficient Token Swaps with Slippage Control

Token swapping on the Solana blockchain can result in significant slippage, especially during volatile market conditions. Kaze AI optimizes token swaps by providing slippage control, ensuring that users can execute trades while managing price impact. This allows you to protect against unfavorable price changes during swaps, ensuring more predictable and efficient transactions.

Key Capabilities:

• Swap tokens: Perform token swaps between SOL and SPL tokens with ease.

• Slippage control: Set slippage tolerance to avoid unexpected price fluctuations during swaps.

• Optimized price impact: Adjust slippage settings to reduce transaction costs and optimize trade execution.

Example Use Cases:

• Swapping tokens with slippage protection to minimize potential losses during high volatility.

• Integrating slippage control for token swaps in a DeFi dApp or automated trading bot.

3. Raydium Liquidity Trading

Raydium is one of Solana’s top decentralized exchanges, providing liquidity pools that support fast and cost-effective token swaps. Kaze AI allows developers to trade directly with Raydium liquidity pools, enabling users to buy and sell tokens efficiently while taking advantage of Raydium's deep liquidity.

Key Capabilities:

• Raydium integration: Trade tokens directly through Raydium’s automated market maker (AMM) pools.

• Liquidity pools: Access Raydium's extensive liquidity to perform token purchases and sales.

• Efficient trades: Execute trades with low fees and fast confirmation times, thanks to Raydium’s Solana-based architecture.

Example Use Cases:

• Buying and selling tokens in real-time via Raydium liquidity pools within a trading bot or app.

• Integrating Raydium liquidity for token-based applications that require fast and reliable trading execution.

The Special Features of Kaze AI provide advanced tools for deploying and managing SPL tokens, as well as creating dynamic liquidity pools for decentralized trading. These features cater to developers looking to launch innovative SPL tokens and optimize trading liquidity on the Solana blockchain.

1. Launch Innovative SPL Tokens

Kaze AI simplifies the process of deploying new SPL tokens on the Solana blockchain. With an easy-to-use interface, you can configure and launch your own custom tokens, providing flexibility for creating unique token ecosystems for DeFi applications, reward systems, and much more. Whether you’re looking to issue a token for your project or build a fully custom token economy, Kaze AI streamlines the deployment and configuration of SPL tokens.

Key Capabilities:

• Deploy SPL tokens with ease: Create and deploy custom tokens on the Solana blockchain in just a few steps.

• Token configuration: Define the token’s name, symbol, and other essential parameters.

• Instant token launch: Deploy your tokens and integrate them with decentralized applications immediately.

Example Use Cases:

• DeFi protocols: Issue governance tokens, staking tokens, or any other custom SPL token for your decentralized finance platform.

• NFT platforms: Create unique utility tokens to be used in your NFT marketplace or community-driven project.

2. Create Dynamic DLMM Liquidity Pools

dipe.ai makes it simple to create dynamic liquidity pools using Meteora’s Dynamic Automated Market Maker (DLMM) framework. You can set up liquidity pools for token trading with customizable features, including bin step, activation type, and fee structure. These pools are ideal for projects that need flexibility in managing liquidity and trading fees while offering deep liquidity for seamless token swaps.

Key Capabilities:

• Meteora-based liquidity pools: Create and configure dynamic liquidity pools that adapt to market conditions and trading volumes.

• Customizable pool parameters: Set bin steps, trading fees, and activation types to fine-tune pool behavior.

• Integration with trading platforms: Connect your DLMM liquidity pools to decentralized exchanges for efficient token swaps and liquidity provision.

Example Use Cases:

• DeFi protocols: Provide dynamic liquidity for decentralized trading platforms, ensuring optimal price discovery and minimal slippage.

• Token projects: Launch a dynamic liquidity pool for your new token, allowing for flexible fee management and liquidity control.

Key Components

1. Metadata Upload

2. Transaction Creation

3. Token Launch Process

Detailed Breakdown

1. Uploading Token Metadata

   The _upload_metadata function handles the uploading of token metadata to the IPFS through Pump.fun. The metadata includes the token's name, ticker, description, and image URL. If additional options (such as social media links) are provided, they are included in the metadata upload.

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   • Form Data: This method forms the required data for metadata upload, which includes the token’s basic information, image, and any optional social media URLs.

   • Image Download: The image for the token is downloaded from the provided URL.

   • IPFS Upload: The metadata and image are uploaded to Pump.fun's IPFS endpoint.

   • Response: On successful upload, it returns the metadata response, including the metadata URI.

2. Creating the Token Transaction

   The _create_token_transaction function prepares a transaction for minting the token on the Solana blockchain through Pump.fun. The transaction includes the token's metadata and minting information.

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   • Transaction Payload: The payload for the transaction is built using the agent’s wallet address, mint keypair, and metadata URI.

   • Transaction Request: A request is made to the Pump.fun API to create the transaction.

   • Serialized Transaction: The transaction is returned as serialized data that can be signed and sent to the network.

3. Launching the Token

   The launch_pumpfun_token method orchestrates the process of launching a token. It includes uploading metadata, creating the transaction, and then signing and sending the transaction to the Solana network.

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   • Mint Keypair: A new mint keypair is generated for the token.

   • Metadata Upload: Calls _upload_metadata to upload the token's metadata to IPFS.

   • Transaction Creation: Calls _create_token_transaction to create the token transaction.

   • Transaction Signing: The transaction is signed using the mint keypair and sent to the Solana network via sign_and_send_transaction.

   Result: The method returns a TokenLaunchResult containing the transaction signature, mint address, and metadata URI.

Helper Functions

1. fix_asyncio_for_windows() This function is used to ensure compatibility of asynchronous tasks when running on Windows. It fixes an issue with the default event loop on Windows machines that might otherwise result in an asyncio exception.

2. sign_and_send_transaction() This function handles signing and sending the token transaction to the Solana blockchain. It is critical for the final step in the token launch process.

Example Usage

Below is an example of how to use the PumpfunTokenManager to launch a new token:

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Error Handling

The code handles various exceptions during the token launch process:

• Metadata Upload: If the metadata upload fails (e.g., image download or IPFS upload), it raises an error.

• Transaction Creation: If creating the transaction via the Pump.fun API fails, an exception is raised with the relevant error message.

• Transaction Signing: If the transaction fails during signing or submission to the Solana network, the exception is caught, and an appropriate error message is logged.

Example of error handling:

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Key Features

• IPFS Metadata Upload: Upload token metadata (name, symbol, description, image) to IPFS.

• Transaction Creation: Create and serialize the minting transaction for a new token.

• Customizable Options: Allow customization of initial liquidity, slippage, and priority fees for the token launch.

• Solana Integration: Full integration with Solana blockchain for minting and token management.

• Error Logging: Detailed logging and error handling throughout the process.