Files
solana-agent-kit/test/index.ts
Fahri Bilici 9297d78838 feat: Implement Action to Tool conversion for enhanced Solana agent functionality
- Added a new function to convert Action interfaces into LangChain Tools, improving the integration of action handlers within the Solana agent.
- Updated the agent initialization process to utilize the new conversion, allowing for dynamic tool creation based on defined actions.
- Enhanced error handling and input validation within the action execution flow.
2024-12-27 18:32:14 +01:00

270 lines
7.7 KiB
TypeScript

import { SolanaAgentKit } from "../src";
import { createSolanaTools } from "../src/langchain";
import { HumanMessage } from "@langchain/core/messages";
import { MemorySaver } from "@langchain/langgraph";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { ChatOpenAI } from "@langchain/openai";
import * as dotenv from "dotenv";
import * as fs from "fs";
import * as readline from "readline";
import { Tool } from "@langchain/core/tools";
import { Action } from "../src/types/action";
dotenv.config();
function validateEnvironment(): void {
const missingVars: string[] = [];
const requiredVars = ["OPENAI_API_KEY", "RPC_URL", "SOLANA_PRIVATE_KEY"];
requiredVars.forEach((varName) => {
if (!process.env[varName]) {
missingVars.push(varName);
}
});
if (missingVars.length > 0) {
console.error("Error: Required environment variables are not set");
missingVars.forEach((varName) => {
console.error(`${varName}=your_${varName.toLowerCase()}_here`);
});
process.exit(1);
}
}
validateEnvironment();
const WALLET_DATA_FILE = "wallet_data.txt";
// Convert our Action interface to LangChain Tool
function convertActionToTool(action: Action, solanaAgent: SolanaAgentKit): Tool {
class ActionTool extends Tool {
name = action.name;
description = action.description;
async _call(input: string): Promise<string> {
try {
let parsedInput;
try {
// Try to parse as JSON first
parsedInput = input ? JSON.parse(input) : {};
} catch {
// If JSON parsing fails, use the raw input string
parsedInput = { input };
}
// Validate input against schema if available
if (action.schema) {
try {
parsedInput = action.schema.parse(parsedInput);
} catch (validationError: any) {
return JSON.stringify({
status: "error",
message: `Invalid input: ${validationError.message}`,
code: "VALIDATION_ERROR"
});
}
}
const result = await action.handler(solanaAgent, parsedInput);
return JSON.stringify(result);
} catch (error: any) {
console.error("Action execution error:", error);
return JSON.stringify({
status: "error",
message: error.message,
code: error.code || "UNKNOWN_ERROR"
});
}
}
}
return new ActionTool();
}
async function initializeAgent() {
try {
const llm = new ChatOpenAI({
modelName: "gpt-4o-mini",
temperature: 0.7,
});
let walletDataStr: string | null = null;
if (fs.existsSync(WALLET_DATA_FILE)) {
try {
walletDataStr = fs.readFileSync(WALLET_DATA_FILE, "utf8");
} catch (error) {
console.error("Error reading wallet data:", error);
}
}
const solanaAgent = new SolanaAgentKit(
process.env.SOLANA_PRIVATE_KEY!,
process.env.RPC_URL,
process.env.OPENAI_API_KEY!,
);
const actions = createSolanaTools(solanaAgent);
// Convert our Actions to LangChain Tools
const tools = actions.map(action => convertActionToTool(action, solanaAgent));
const memory = new MemorySaver();
const config = { configurable: { thread_id: "Solana Agent Kit!" } };
const agent = createReactAgent({
llm,
tools,
checkpointSaver: memory,
messageModifier: `
You are a helpful agent that can interact onchain using the Solana Agent Kit. You are
empowered to interact onchain using your tools. If you ever need funds, you can request them from the
faucet. If not, you can provide your wallet details and request funds from the user. If there is a 5XX
(internal) HTTP error code, ask the user to try again later. If someone asks you to do something you
can't do with your currently available tools, you must say so, and encourage them to implement it
themselves using the Solana Agent Kit, recommend they go to https://www.solanaagentkit.xyz for more information. Be
concise and helpful with your responses. Refrain from restating your tools' descriptions unless it is explicitly requested.
`,
});
if (walletDataStr) {
fs.writeFileSync(WALLET_DATA_FILE, walletDataStr);
}
return { agent, config };
} catch (error) {
console.error("Failed to initialize agent:", error);
throw error;
}
}
async function runAutonomousMode(agent: any, config: any, interval = 10) {
console.log("Starting autonomous mode...");
while (true) {
try {
const thought =
"Be creative and do something interesting on the blockchain. " +
"Choose an action or set of actions and execute it that highlights your abilities.";
const stream = await agent.stream(
{ messages: [new HumanMessage(thought)] },
config,
);
for await (const chunk of stream) {
if ("agent" in chunk) {
console.log(chunk.agent.messages[0].content);
} else if ("tools" in chunk) {
console.log(chunk.tools.messages[0].content);
}
console.log("-------------------");
}
await new Promise((resolve) => setTimeout(resolve, interval * 1000));
} catch (error) {
if (error instanceof Error) {
console.error("Error:", error.message);
}
process.exit(1);
}
}
}
async function runChatMode(agent: any, config: any) {
console.log("Starting chat mode... Type 'exit' to end.");
const rl = readline.createInterface({
input: process.stdin,
output: process.stdout,
});
const question = (prompt: string): Promise<string> =>
new Promise((resolve) => rl.question(prompt, resolve));
try {
while (true) {
const userInput = await question("\nPrompt: ");
if (userInput.toLowerCase() === "exit") {
break;
}
const stream = await agent.stream(
{ messages: [new HumanMessage(userInput)] },
config,
);
for await (const chunk of stream) {
if ("agent" in chunk) {
console.log(chunk.agent.messages[0].content);
} else if ("tools" in chunk) {
console.log(chunk.tools.messages[0].content);
}
console.log("-------------------");
}
}
} catch (error) {
if (error instanceof Error) {
console.error("Error:", error.message);
}
process.exit(1);
} finally {
rl.close();
}
}
async function chooseMode(): Promise<"chat" | "auto"> {
const rl = readline.createInterface({
input: process.stdin,
output: process.stdout,
});
const question = (prompt: string): Promise<string> =>
new Promise((resolve) => rl.question(prompt, resolve));
while (true) {
console.log("\nAvailable modes:");
console.log("1. chat - Interactive chat mode");
console.log("2. auto - Autonomous action mode");
const choice = (await question("\nChoose a mode (enter number or name): "))
.toLowerCase()
.trim();
rl.close();
if (choice === "1" || choice === "chat") {
return "chat";
} else if (choice === "2" || choice === "auto") {
return "auto";
}
console.log("Invalid choice. Please try again.");
}
}
async function main() {
try {
console.log("Starting Agent...");
const { agent, config } = await initializeAgent();
const mode = await chooseMode();
if (mode === "chat") {
await runChatMode(agent, config);
} else {
await runAutonomousMode(agent, config);
}
} catch (error) {
if (error instanceof Error) {
console.error("Error:", error.message);
}
process.exit(1);
}
}
if (require.main === module) {
main().catch((error) => {
console.error("Fatal error:", error);
process.exit(1);
});
}