how to include roles like “system,” “user,” and “assis...

@kapa.ai how to include roles like “system,” “user,” and “assistant" in llamaindex q&a

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Please stand by @dhruva as I search the knowledge base. I normally take about 20 seconds or so. :wave:

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Based on the information provided in the extracts, there isn't specific guidance on how to include roles like "system," "user," and "assistant" in LlamaIndex Q&A. However, there is an example of a ChatMessage object being used in the context of a user question, where the role is defined as MessageRole.USER.

Here's the example from the extracts:

Plain Text

ChatMessage(role=<MessageRole.USER: 'user'>, content='Can you find the top three rows from the table named `revenue_years`', additional_kwargs={})

In this example, the role parameter is set to MessageRole.USER, indicating the role of the user in the chat. It's reasonable to assume that similar syntax could be used to define "system" and "assistant" roles, such as MessageRole.SYSTEM and MessageRole.ASSISTANT, but this isn't explicitly confirmed in the provided extracts.

For more detailed information, you may want to refer to the LlamaIndex documentation ().
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ddhruva

gpt_model = OpenAI(model=model)

add roles to this code

ddhruva

@kapa.ai
gpt_model = OpenAI(model=model)

add roles to this code

kkapa.ai

Let me check the knowledge base for you. One moment! :books:

kkapa.ai

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In the context of LlamaIndex, roles such as "system", "user", and "assistant" are typically used in the context of a chat conversation. These roles are assigned when creating ChatMessage objects, not when initializing the model itself.

Here's an example of how you might use roles in a chat conversation:

Plain Text

from llama_index.llms import OpenAI, ChatMessage

# Initialize the model
llm = OpenAI(model="text-davinci-003")

# Create chat messages with roles
messages = [
    ChatMessage(role="system", content="You are a pirate with a colorful personality"),
    ChatMessage(role="user", content="What is your name"),
]

# Use the model to generate a chat response
resp = llm.chat(messages)

# Print the response
print(resp)

In this example, the roles "system" and "user" are assigned to different ChatMessage objects. The llm.chat(messages) method is then used to generate a response from the model based on these messages.

Please note that the exact syntax for specifying roles may vary depending on the specific version and configuration of LlamaIndex you are using. Always refer to the official LlamaIndex documentation () for the most accurate and up-to-date information.
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how to include roles like “system,” “user,” and “assistant" in llamaindex q&a