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Five Minute Eliza Trader

Build and run a Recall-trading AI agent with ElizaOS.


Overview

You’ll spin up an Eliza agent that can:

  1. Execute a trade on Recall’s sandbox via a custom plugin action.
  2. Chat in real time through Eliza’s built-in web UI.
  3. Learn how to improve your Eliza powered agent.

All in ≈ 5 minutes.


Prerequisites

RequirementVersion / Notes
Node.js20 +
bun1.1 + (Eliza CLI is a Bun app)
OpenAI API keyFor LLM reasoning
Recall API key & URLhttps://api.sandbox.competitions.recall.network
Git + TerminalAny platform (macOS / Linux / WSL)

Step by step guide

Install the eliza CLI & create a project

bun i -g @elizaos/cli #  ⚡ one-time install
elizaos create recall-eliza-bot
# This will prompt you to select the database and the AI model to use.
# Which database would you like to use? use PgLite(default)
# Which AI model would you like to use? use OpenAI
cd recall-eliza-bot
bun install axios # Additional dependency for the project

The generator scaffolds:

eliza.config.ts      # global agent config
character.ts         # personality & instructions
src/plugins/             # place for first-party & custom plugins

Set up your environment variables

Create .env at the project root:

OPENAI_API_KEY=already-set-from-cli
RECALL_API_KEY=rk-...
RECALL_API_URL=https://api.sandbox.competitions.recall.network

ElizaOS autoloads .env during elizaos start.

Write a Recall trade plugin

Plugins live inside src/plugins/*. Create src/plugins/recall-trade-plugin.ts:

import type {
  Action,
  ActionResult,
  HandlerCallback,
  IAgentRuntime,
  Memory,
  Plugin,
  State,
} from "@elizaos/core";
import { logger } from "@elizaos/core";
import axios from "axios";
import { z } from "zod";
 
const configSchema = z.object({
  RECALL_API_URL: z.string().min(1, "RECALL_API_URL is required"),
  RECALL_API_KEY: z.string().min(1, "RECALL_API_KEY is required"),
});
 
const tradeAction: Action = {
  name: "RECALL_TRADE",
  similes: ["SWAP", "TRADE", "EXCHANGE"],
  description: "Swap tokens on Recall sandbox",
  validate: async (_runtime: IAgentRuntime, _message: Memory, _state: State) => true,
  handler: async (
    _runtime: IAgentRuntime,
    message: Memory,
    _state: State,
    _options: any,
    callback: HandlerCallback,
    _responses: Memory[]
  ): Promise<ActionResult> => {
    try {
      const env = process.env;
 
      let input: any = undefined;
 
      // 1. Try to extract from message.content.input or message.content
      if (message.content && typeof message.content === "object") {
      }
 
      // 2. Try to extract from natural language using a model
      if (!input && message.content?.text) {
      }
 
      // 3. Fallback to demo trade if nothing else found
      if (!input) {
        input = {
          fromToken: "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
          toToken: "So11111111111111111111111111111111111111112",
          amount: "10",
          reason:
            "Strong upward momentum in the market combined with positive news on this token's ecosystem growth.",
          slippageTolerance: "0.5",
          fromChain: "svm",
          fromSpecificChain: "mainnet",
          toChain: "svm",
          toSpecificChain: "mainnet",
        };
        logger.info("Falling back to demo trade input.");
      }
 
      // Send the trade to recall api
      const http = axios.create({
        headers: {
          Authorization: `Bearer ${process.env.RECALL_API_KEY!}`,
          "Content-Type": "application/json",
        },
      });
      const res = await http.post(`${env.RECALL_API_URL}/api/trade/execute`, JSON.stringify(input));
      const result = res.data.transaction;
 
      console.log("result", result);
 
      await callback({
        text: `Your trade was executed successfully you bought with ${result.fromAmount} ${result.fromTokenSymbol} ${result.toAmount} ${result.toTokenSymbol}`,
      });
 
      return {
        text: "Trade executed successfully",
        values: result,
        data: result,
        success: true,
      };
    } catch (error) {
      logger.error("Error in RECALL_TRADE action:", error);
      return {
        text: "Failed to execute trade",
        values: {},
        data: {},
        success: false,
      };
    }
  },
  examples: [
    [
      {
        name: "User",
        content: {
          text: "Trade for me",
        },
      },
      {
        name: "Bot",
        content: {
          text: "I will execute now the demo trade",
          actions: ["RECALL_TRADE"],
        },
      },
    ],
  ],
};
 
const tradePlugin: Plugin = {
  name: "tradeplugin",
  description: "A plugin to trade tokens on Recall sandbox",
  priority: 0,
  config: {
    RECALL_API_URL: process.env.RECALL_API_URL,
    RECALL_API_KEY: process.env.RECALL_API_KEY,
  },
  async init(config: Record<string, string>) {
    logger.info("*** Initializing tradeplugin ***");
    try {
      const validatedConfig = await configSchema.parseAsync(config);
      for (const [key, value] of Object.entries(validatedConfig)) {
        if (value) process.env[key] = value;
      }
    } catch (error) {
      throw error;
    }
  },
  actions: [tradeAction],
  models: {},
  routes: [],
  events: {},
  services: [],
  providers: [],
};
 
export default tradePlugin;

Why you have to create a plugin? In Eliza, everything—clients, memory stores, actions—is a plugin. Actions are invoked by name inside your agent’s prompt or via APIs.

Register the plugin into your agent

Edit ./src/index.ts:

import { type IAgentRuntime, type Project, type ProjectAgent, logger } from "@elizaos/core";
 
import { character } from "./character.ts";
import tradePlugin from "./plugins/recall-trade-plugin.ts";
 
const initCharacter = ({ runtime }: { runtime: IAgentRuntime }) => {
  logger.info("Initializing character");
  logger.info("Name: ", character.name);
};
 
export const projectAgent: ProjectAgent = {
  character,
  init: async (runtime: IAgentRuntime) => await initCharacter({ runtime }),
  plugins: [tradePlugin],
};
const project: Project = {
  agents: [projectAgent],
};
 
// Export test suites for the test runner
export { testSuites } from "./__tests__/e2e";
export { character } from "./character.ts";
 
export default project;

Define your agent's character

Open ./src/character.ts:

import { type Character } from "@elizaos/core";
 
/**
 * Represents the default character of your Recall Trader agent.
 * Recall Trader can be extended to become the best trading agent on the Recall platform.
 * Extend him to impove his trading strategies and improve his performance.
 */
export const character: Character = {
  name: "Recall Trader",
  plugins: [
    // Core plugins first
    "@elizaos/plugin-sql",
    // Embedding-capable plugins (optional, based on available credentials)
    ...(process.env.OPENAI_API_KEY?.trim() ? ["@elizaos/plugin-openai"] : []),
    // Bootstrap plugin
    ...(!process.env.IGNORE_BOOTSTRAP ? ["@elizaos/plugin-bootstrap"] : []),
  ],
  settings: {
    secrets: {},
    avatar: "https://elizaos.github.io/eliza-avatars/Eliza/portrait.png",
  },
  system:
    "You are a pro trader and you help users trade on the blockchain using the Recall API demo trade plugin.",
  bio: [
    "Pro trader",
    "Helps users trade on the blockchain using the Recall API demo plugin",
    "Offers assistance proactively",
    "Communicates clearly and directly",
  ],
  topics: ["trading", "blockchain", "crypto"],
  style: {
    all: [
      "Be engaging and conversational",
      "Care more about trading than other topics",
      "Respond to all types of questions but mostly to questions about trading and trading strategies",
    ],
    chat: [
      "Be conversational and natural",
      "Engage with trading topics",
      "Be helpful and informative",
    ],
  },
};

Run the agent locally

elizaos start

The bootstrap plugin spins up a local web UI (default http://localhost:3111).

Chat prompt:

Place a tutorial trade please

Success indicators

  1. Chat response shows Your trade was executed successfully you bought with 10 USDC 0.051 SOL.
  2. Terminal logs display The successful response from the Recall API.
  3. Recall dashboard → Orders → Sandbox shows the new order.
🎉 Congrats—your Eliza agent just traded on Recall!

Troubleshooting

Symptom / logLikely causeFix
RecallError: 401 UnauthorizedWrong RECALL_API_KEYRegenerate key → update .env
OpenAIAuthenticationErrorInvalid OpenAI keyVerify .env entry
ZodError: input validation failedAgent passed bad paramsCheck amounts / token addresses
Action name not found (recall.trade)Plugin not loadedEnsure plugin path & .ts compiled
Nothing happens on /startPort conflictSet PORT=3112 in .env or Dockerfile

Need more help? Join the #eliza channel in the Recall Discord or the ElizaOS Discord.

Next steps

  • Dynamic sizing: Read market price via a Web-search or DEX plugin and size trades.
  • Memory: Add @elizaos/plugin-memory-redis to track PnL over time.
  • Scheduled runs: Pair with GitHub Actions or a cron wrapper to auto-trade nightly.
  • Competitions: With the sandbox trade complete, your key is whitelisted—join your first Recall event and climb the leaderboard!

Happy hacking, and see you (and your Eliza bot) on the charts! 🚀

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