Payments Agent

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Overview

• gpt-4o model from OpenAI for language processing.
• CodeAgent to orchestrate a series of steps toward a final result.
• AgentRuntime to connect clients to the agent and manage execution.
• Clients:
  • SimpleMessageClient for local testing with predefined messages.
  • (Optional) TwitterMentionClient for processing mentions on Twitter.
• Web3 Tools:
  • get_coin_price (CoinGecko) to fetch real-time cryptocurrency prices.
  • get_token_profile (DexScreener) to retrieve token profiles.
• A Pricing Mechanism using Solana (SOL) payments. The agent will validate payment before executing the task.

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Payment & Transaction Requirements

• A link to a Solana transaction (e.g., from Solscan)
• A transaction signature on the Solana blockchain

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Setup

1. Local Environment & Galadriel Installation:
   python3 -m venv venv
   source venv/bin/activate
   pip install galadriel
   
2. Agent Wallet Creation: The agent needs a Solana wallet to receive payments. If you don’t have one, create a new one. The tutorial is described in Wallet Tutorial.
3. Environment Variables Configuration: Rename template.env to .env and populate it with your OpenAI API key, agent wallet address, and optional Twitter API credentials (if using TwitterMentionClient):
   OPENAI_API_KEY=<YOUR_OPENAI_API_KEY>
   TWITTER_CONSUMER_API_KEY=<YOUR_TWITTER_CONSUMER_API_KEY> #Optional
   TWITTER_CONSUMER_API_SECRET=<YOUR_TWITTER_CONSUMER_API_SECRET> #Optional
   TWITTER_ACCESS_TOKEN=<YOUR_TWITTER_ACCESS_TOKEN> #Optional
   TWITTER_ACCESS_TOKEN_SECRET=<YOUR_TWITTER_ACCESS_TOKEN_SECRET> #Optional
   TWITTER_USER_ID=<YOUR_TWITTER_USER_ID> #Optional
   
   • Make sure you have configured SOLANA_KEY_PATH in .agents.env file to point the path to your Solana wallet
4. Agent Code (agent.py): Create a file named agent.py with the following Python code. Remember to replace placeholders with your actual values.
   import asyncio
   import os
   from pathlib import Path
   
   from dotenv import load_dotenv
   
   from galadriel import AgentRuntime, CodeAgent
   from galadriel.clients import SimpleMessageClient
   # from galadriel.clients import TwitterMentionClient #Uncomment to enable Twitter client
   from galadriel.core_agent import LiteLLMModel
   from galadriel.entities import Pricing
   from galadriel.tools.web3 import dexscreener, coingecko
   
   load_dotenv(dotenv_path=Path(".") / ".env", override=True)
   
   model = LiteLLMModel(
       model_id="openai/gpt-4o",
       api_key=os.getenv("OPENAI_API_KEY"),
   )
   
   # Set up a researcher who will perform Web3 related tasks
   researcher = CodeAgent(
       tools=[
           coingecko.get_coin_price,
           dexscreener.get_token_profile,
       ],
       model=model,
       add_base_tools=True,
       additional_authorized_imports=["json"],
   )
   
   # Configure agent's pricing information
   agent_pricing = Pricing(
       wallet_address="<YOUR_AGENT_WALLET_ADDRESS>",  # Replace with the agent's wallet address
       cost=0.001,  # Price per task in SOL
   )
   
   # The client will pass a research task to the agent with either
   # - a link to the transaction on Solscan
   # - a signature of transaction of Solana
   # Example transaction passed to SimpleMessageClient below:
   # https://explorer.solana.com/tx/5aqB4BGzQyFybjvKBjdcP8KAstZo81ooUZnf64vSbLLWbUqNSGgXWaGHNteiK2EJrjTmDKdLYHamJpdQBFevWuvy
   simple_client = SimpleMessageClient(
       "Is Bitcoin good investment now with high prices? https://solscan.io/tx/5aqB4BGzQyFybjvKBjdcP8KAstZo81ooUZnf64vSbLLWbUqNSGgXWaGHNteiK2EJrjTmDKdLYHamJpdQBFevWuvy",
   )
   
   # Alternatively, Twitter (or Discord, Telegram) client which can be passed to inputs and outputs in order to get tasks from social channels
   # twitter_client = TwitterMentionClient(
   #     TwitterCredentials(
   #         consumer_api_key=os.getenv("TWITTER_CONSUMER_API_KEY"),
   #         consumer_api_secret=os.getenv("TWITTER_CONSUMER_API_SECRET"),
   #         access_token=os.getenv("TWITTER_ACCESS_TOKEN"),
   #         access_token_secret=os.getenv("TWITTER_ACCESS_TOKEN_SECRET"),
   #     ),
   #     user_id=os.getenv("TWITTER_USER_ID"),
   # )
   
   # Combine all elements into runtime
   runtime = AgentRuntime(
       inputs=[simple_client],  # Runtime inputs, pass twitter_client if you use it
       outputs=[simple_client],  # Runtime outputs, pass twitter_client if you use it
       agent=researcher,
       pricing=agent_pricing,
   )
   
   # Run the runtime with agent
   asyncio.run(runtime.run())
   
   Code Explanation:
   • Imports: Imports necessary libraries and modules.
   • Environment Variables: Loads environment variables from a .env file.
   • Model Setup: Initializes the LiteLLMModel with the specified model ID and API key.
   • Tool Setup:
     • Initializes coingecko.get_coin_price and dexscreener.get_token_profile
   • Agent Setup:
     • Initializes the CodeAgent with the specified tools
   • Client Setup:
     • Initializes the SimpleMessageClient with a sample question and Solana transaction link.
   • Runtime Setup:
     • Initializes the AgentRuntime with the agent, pricing, input, and output.
5. Run the agent:
   python agent.py
   

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Optional: Running the agent with Twitter Client

1. Uncomment Twitter related code snippets:
   • TwitterMentionClient import statement
   • twitter_client initialization with the proper credentials
   • Pass twitter_client client to the AgentRuntime arguments for inputs and outputs
2. Run the agent:
   python agent.py