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| from agent import MOAgent | |
| # Configure agent | |
| layer_agent_config = { | |
| 'layer_agent_1' : {'system_prompt': "Think through your response with step by step {helper_response}", 'model_name': 'llama3-8b-8192'}, | |
| 'layer_agent_2' : {'system_prompt': "Respond with a thought and then your response to the question {helper_response}", 'model_name': 'gemma-7b-it'}, | |
| 'layer_agent_3' : {'model_name': 'llama3-8b-8192'}, | |
| 'layer_agent_4' : {'model_name': 'gemma-7b-it'}, | |
| 'layer_agent_5' : {'model_name': 'llama3-8b-8192'}, | |
| } | |
| agent = MOAgent.from_config( | |
| main_model='mixtral-8x7b-32768', | |
| layer_agent_config=layer_agent_config | |
| ) | |
| while True: | |
| inp = input("\nAsk a question: ") | |
| stream = agent.chat(inp, output_format='json') | |
| for chunk in stream: | |
| print(chunk) |