AI-Trainer

Meta OpenEnv Hackathon — AI Agent Submission

Overview

This project is a production-ready AI agent built for the Meta OpenEnv Hackathon. The agent competes in a 3-round coding challenge against an OpenAI GPT-4o-mini judge, receiving Python coding tasks and submitting solutions for evaluation.

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Agent: inference.py

The core agent logic lives entirely in inference.py. It runs a 3-round loop that:

1. Calls the local OpenEnv server's /reset endpoint to fetch a new coding task
2. Sends the task to a powerful LLM to generate a Python solution
3. Submits the solution back to the /step endpoint and retrieves the score

API Payload Compatibility

The agent uses the exact payload format required by the Meta OpenEnv REST API:

{"action": {"answer": "<agent_answer>"}}

This nested structure matches the server's strict Pydantic model validation, completely preventing 422 Unprocessable Entity errors that arise from incorrect top-level keys or flat payload formats.

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Model: Qwen/Qwen2.5-72B-Instruct

The agent uses Qwen/Qwen2.5-72B-Instruct via the Hugging Face Router API (https://router.huggingface.co/v1), accessed through an OpenAI-compatible client.

Key reasons for this choice:

• The HF Router endpoint is the current active inference gateway — the legacy api-inference.huggingface.co/v1 endpoint has been deprecated and returns 410 Gone errors
• Qwen 2.5 72B delivers state-of-the-art Python code generation, significantly outperforming smaller models on structured coding tasks
• The OpenAI-compatible interface ensures zero-downtime, stable connections with clean error handling

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Task Parsing

The agent safely parses tasks from multiple possible server response shapes:

• response["observation"]["echoed_message"]
• response["observation"]["task_prompt"]
• response["echoed_message"]
• Raw JSON fallback via json.dumps(resp)

This makes the agent resilient to any OpenEnv server version or configuration.

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Setup

1. Install dependencies

pip install -r requirements.txt

2. Set environment variables

$env:HF_TOKEN = "hf_your_token_here"
$env:OPENAI_API_KEY = "sk-your_key_here"

3. Start the OpenEnv server, then run the agent

python inference.py

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Requirements