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| from langchain.agents import AgentExecutor | |
| from transformers import PreTrainedModel | |
| def create_agent(llm: PreTrainedModel, tools: list, system_prompt: str): | |
| # Each worker node will be given a name and some tools. | |
| prompt = ChatPromptTemplate.from_messages( | |
| [ | |
| ( | |
| "system", | |
| system_prompt, | |
| ), | |
| MessagesPlaceholder(variable_name="messages"), | |
| MessagesPlaceholder(variable_name="agent_scratchpad"), | |
| ] | |
| ) | |
| agent = prompt | llm.bind_tools(tools) | |
| # create_openai_tools_agent(llm, tools, prompt) | |
| executor = AgentExecutor(agent=agent, tools=tools) | |
| return executor | |