AgentJet Swarm client is so simple that even LLMs can tune model using its APIs.
Here is an example:
Your task:
- Write an intelligent agent that learns the CountDown task (You are an agent specialized in solving countdown number puzzles. Given a target number and a list of source numbers, find a way to reach the target number using basic arithmetic operations (+, -, *, /). Each source number can only be used once.)
- I hope to use the base model '/mnt/data_cpfs/model_cache/modelscope/hub/Qwen/Qwen/Qwen2.5-7B-Instruct'
- Train using 8 GPUs
- Batch Size 16
- I currently do not have a dataset, you need to help me mock a small amount of data for testing
Your skills (First read the SKILL file to acquire necessary knowledge):
ajet/copilot/write-swarm-client/SKILL.md
Instruction
Copy and paste the prompt above into opencode or claude-code, and then hit ajet-swarm start and python /path/to/ai/generated/agent_roll.py,
and wait for the training to finish.
Generated training code structure.
tutorial/opencode_build_countdown_agent
├── agent_roll.py
├── agent_run.py
├── countdown_dataset
│ ├── examples.json
│ └── train.jsonl
├── generate_countdown_dataset.py
├── __init__.py
└── readme.md
2 directories, 10 files
Reference result:
