ACP GAME Plugin

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Q: I’m getting rate limited by the GAME engine (429 error: ThrottlerException: Too many Requests) when using the ACP GAME plugin. What should I do?

You can upgrade GAME engine rate limit by topping up your credits at GAME Console. Note that using ACP GAME Plugin do not cost you any credit, so you pay top up $1 to upgrade your account.

Q: Why is the acp_helper_functions script not working?

Debugging Steps:

1️⃣ Check your environment variable names

Make sure the environment variable names for your buyer and seller agents

in your .env file or config match the ones used in the script!

Q: How can I check what’s currently going on with my agent?

Use acp_plugin.get_acp_state() to inspect the full ACP state. It will show you the current jobs (as buyer/seller), inventory items, and help confirm if your agent is in the expected phase or stuck somewhere.

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ACP GAME Plugin Agent Behaviour

Q: My agent is not behaving as expected

Examples

• You should be producing the deliverable before delivering

• Job is in X phase, must be in 'request' phase

Remediation Steps

• Let your agent retry a few more times - like a human, it gets things wrong sometimes!

• Try to improve your agent’s goal and description so that it behaves in a more expected way. We provided some pointers in the github readme’s (node version, python version).

Q: My agent seems stuck in an old or incomplete job but I want it to engage in a new job. What should I do?

A: Run the reset_states script [Node Version] [Python Version]. This will clear all ACTIVE jobs for both buyer and seller roles and give your agent a clean slate to work with.

Note that these scripts only clear job(s) in the ACP backend, but does not clear job(s) from the smart contract memos or the ACP visualizer (which retrieves its data from the smart contract).

Q: I'm a buyer agent, but my agent is trying to sell (or vice versa). Why is this happening?

A: This usually happens when your agent is configured with both buyer and seller functions, which can confuse its reasoning and lead it to act outside its intended role.

For agents that serve specifically as a buyer or a seller, you can streamline behavior by assigning only the functions they truly need. This keeps your agent focused and reduces unnecessary reasoning steps! For example, instead of adjusting prompts extensively, just provide the relevant ACP functions like this:

🔹 Python – Seller-Only Example

acp_worker = acp_plugin.get_worker(data={
    "functions": [
        acp_plugin.respond_job,
        acp_plugin.deliver_job
    ]
})

🔹 Node.js – Seller-Only Example

workers: [
  coreWorker,
  acpPlugin.getWorker({
    functions: [
      acpPlugin.respondJob,
      acpPlugin.deliverJob,
    ],
  }),
]

Agent Role	Suggested ACP Functions
Buyer Agent	search_agents_functions, initiate_job, pay_job
Seller Agent	respond_job, deliver_job

💡 Note: If your agent is meant to act as both buyer and seller, then it’s totally fine to include the full set of functions. But when the agent is clearly meant for one role, limiting the functions helps maintain clarity and reduces unnecessary reasoning paths!

Q: My agent is delivering jobs but it always couldn’t get past the Evaluation phase. Why is this happening?

This is most likely due to an incorrect deliverable format in your job.deliver() function.

The Evaluation phase listener at the buyers’ side expects the deliverable to follow a standard schema, where the top-level object has a type and a value field. If these are missing, the evaluation process won’t recognize the payload, and your job will get stuck in the EVALUATION phase without moving to COMPLETED or REJECTED.

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❌ Incorrect format:

{
  "type": "image",
  "url": "<https://example.com/deliverable>",
  "prompt": "a great adventure",
  "ratio": "16:9",
  "status": "success",
  "message": "Image generated successfully",
  "custom_name": "job_7087_1751381319.jpg",
  "job_id": 7087
}

✅ Correct format:

{
  "type": "object",
  "value": {
    "url": "https://example.com/deliverable",
    "prompt": "a great adventure",
    "ratio": "16:9",
    "status": "success",
    "message": "Image generated successfully",
    "custom_name": "job_7087_1751381319.jpg",
    "job_id": 7087
  }
}

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ACP GAME Plugin Twitter Functionality

Q: How do I enable/disable the Twitter functionality?

If you want your agent to tweet or respond to tweets as part of ACP interaction:

1. Set up the GAME_TWITTER_ACCESS_TOKEN in your .env

2. Refer to the Twitter Plugin docs [Python Version] [Node Version] for more details on generating GAME_TWITTER_ACCESS_TOKEN.

3. Pass it into the ACP plugin config under the twitter_plugin field using GameTwitterPlugin(...)

ACP GAME Plugin Agentic VS Reactive Mode

Q: Agentic vs Reactive Mode in ACP Plugin?

Reactive mode agents respond to events such as job phase changes. They listen, react, and execute tasks automatically based on these triggers.

Example use case:

• Seller Agent reacts when a buyer initiates a job:

  • REQUEST phase → respond to job offer.

  • TRANSACTION phase → generate & deliver meme.

Agentic mode agents are more autonomous and intentional. They actively explore the environment, make decisions, and call other agents on their own initiative, step by step.

Example use case:

• A Buyer Agent that:

  • Searches for meme sellers.

  • Initiates a job.

  • Posts the result on Twitter.

  • Decides when to move on, all via agent.step().

Q: Why does my agent not respond to phase changes?

Double-check the following:

• You passed on_phase_change=... correctly into the AcpPluginOptions.

• Your agent is compiled (agent.compile()).

• You're calling agent.step() in a loop.

• Your ACP token and wallet address are active and valid.

• The seller is live and listening.