Mutli agent document #11485
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🤖 Hey there @asma-faraji! Nice to see you diving into another interesting challenge with LlamaIndex. How's everything going on your end? To implement a custom agent using llama-7b in the multi-agent document approach of the LlamaIndex framework, you would need to follow a few steps:
Here is an example of how to initialize a custom agent with llama-7b: # Example of how to initialize a custom agent with llama-7b
toolkit = LlamaToolkit() # Assuming you have initialized LlamaToolkit
llm = BaseLLM() # Assuming you have initialized BaseLLM for llama-7b
custom_agent_type = "your-custom-agent-type" # This should match your custom agent type
custom_agent_executor = create_llama_agent(
toolkit=toolkit,
llm=llm,
agent=custom_agent_type,
agent_kwargs={"custom_arg1": "value1", "custom_arg2": "value2"},
# Add any other kwargs required for your custom agent
) The role of your custom agent within the LlamaIndex framework depends on the specific functionality you implement. Based on the predefined agent types, agents can perform tasks like zero-shot reaction to descriptions, document store reactions, self-asking with search, and conversational interactions. Your custom agent could be designed to enhance these capabilities, introduce new ways of interacting with documents, or provide specialized responses based on the documents' content. The exact role would be determined by the logic you implement in your custom agent. For more details, you can refer to the llama-index-core/llama_index/core/langchain_helpers/agents/agents.py file in the LlamaIndex repository. Regarding the The primary purpose of the I hope this helps! If you have any more questions or need further clarification, feel free to ask. Sources
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Hi Everyone
I am trying to implement multi-agent document approach for my specific data, however, the llama index example is using openAI agent for each document.
function_llm = OpenAI(model="gpt-4") agent = OpenAIAgent.from_tools( query_engine_tools, llm=function_llm, verbose=True, system_prompt=f"""\ You are a specialized agent designed to answer queries about {wiki_title}. You must ALWAYS use at least one of the tools provided when answering a question; do NOT rely on prior knowledge.\ """, )
How can I implement my custom agent with llama-7b? What is this agent exactly doing?
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