[Question]: llama-index as a basic interface to openai

[jyskim]

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Question

Hi llama-index team,

i have a question to use the llama-index purely as an interface to openai api, as the module offers a lot of heler functions to reduce the code and easy to maintain. In this use case, i don't need any document loading or connector setup, but purely interface the chatgpt and continue to chat by the code something like below..

` from llama_index.agent import OpenAIAgent

agent = OpenAIAgent....(... 'chatgpt-4' ...)

print(agent.chat("Tell me a funny story"))

print(agent.chat("What's fun point in the story?")) `

Above using only openai module needs quite some code.

i searched around but couldn't easily find this basic use cases (maybe too basic or not the llama-index target use case.. Any advice would be appreciated. Thanks in advance.

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[logan-markewich]

Check here: https://gpt-index.readthedocs.io/en/stable/examples/llm/openai.html

https://gpt-index.readthedocs.io/en/stable/api_reference/llms.html#llm-interface

[jyskim]

Hi

Check here: https://gpt-index.readthedocs.io/en/stable/examples/llm/openai.html https://gpt-index.readthedocs.io/en/stable/api_reference/llms.html#llm-interface

Hi Logan, thank you very much for your reply.

The example here doesn't look to maintain the chat history or status. from below, it answers without context of previous chat.

from llama_index.llms import ChatMessage, OpenAI
messages = [
    ChatMessage(role="system", content="You are a pirate with a colorful personality" ),
    ChatMessage(role="user", content="What is your name"),
]
resp = OpenAI().chat(messages)
messages = [ ChatMessage(role="user", content="impressive, what's your name again? "), ]
resp = OpenAI().chat(messages)

What i am looking for is from this example. Here the 2nd chat is answered knowing the previous chat. is this possible in llama-index without loading or connecting other dataset or source purely with openai api? Thank you again.

from llama_hub.tools.wikipedia.base import WikipediaToolSpec
from llama_index.tools.tool_spec.load_and_search.base import LoadAndSearchToolSpec
from llama_index.agent import OpenAIAgent 
wiki_tool = WikipediaToolSpec().to_tool_list()
load_and_search_wiki = LoadAndSearchToolSpec.from_defaults(wiki_tool[1]).to_tool_list()
agent = OpenAIAgent.from_tools(load_and_search_wiki,verbose=True)
print(agent.chat("Who won the NBA playoffs in 2023?"))
print(agent.chat("Who did they beat in final?"))

[logan-markewich]

Those examples I linked show you can just pass in the chat history. It's just a list so you could maintain it yourself.

You could also use the simple chat engine, which automates the history tracking

https://docs.llamaindex.ai/en/stable/examples/chat_engine/chat_engine_repl.html