Build LangChain Toolkit: Complete NEAR Integration

Overview

Create a comprehensive LangChain toolkit that enables LangChain agents to interact with NEAR Protocol - accounts, transactions, DeFi, and NFTs.

Why This Matters

LangChain is the most popular agent framework. Native NEAR tools mean every LangChain agent can easily integrate NEAR functionality.

Technical Requirements

Toolkit Structure

from langchain_near import NEARToolkit

# Initialize with account credentials
toolkit = NEARToolkit(
    account_id="myagent.near",
    private_key="ed25519:...",
    network="mainnet"  # or "testnet"
)

# Get all tools for an agent
tools = toolkit.get_tools()

# Or get specific tool categories
wallet_tools = toolkit.get_wallet_tools()
defi_tools = toolkit.get_defi_tools()
nft_tools = toolkit.get_nft_tools()

Required Tools (minimum 15)

Wallet Tools:

• NEARBalanceTool - Check account balance
• NEARTransferTool - Send NEAR
• NEARAccountInfoTool - Get account details

DeFi Tools:

• RefSwapTool - Execute swaps on Ref Finance
• BurrowLendTool - Lend/borrow on Burrow
• MetaPoolStakeTool - Stake with Meta Pool
• YieldCompareTool - Compare DeFi yields

NFT Tools:

• NFTMintTool - Mint NFTs (Mintbase/Paras)
• NFTTransferTool - Transfer NFTs
• NFTMetadataTool - Get NFT info

Contract Tools:

• ContractViewTool - Call view methods
• ContractCallTool - Execute contract calls
• DeployContractTool - Deploy contracts

Explorer Tools:

• TransactionStatusTool - Check tx status
• AccountHistoryTool - Get tx history

Code Quality

• Full type hints (Python 3.9+)
• Async support for all tools
• Comprehensive docstrings
• Unit tests with mocked NEAR responses
• Integration tests against testnet

Deliverables

1. PyPI package: langchain-near
2. 15+ tools across categories
3. Example agents using the toolkit
4. Documentation with usage patterns
5. Listed on LangChain Hub

Success Criteria

• Installable via pip
• Works with LangChain 0.1+
• All tools function correctly
• 50+ downloads in first month

Budget: 12 NEAR