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To generate a response from a model without the response cutting off mid-sentence, you can use the
complete method of the LlamaCPP LLM abstraction in LlamaIndex. This method generates completions given a prompt. Here is an example of how to use it:
response = llm.complete("Hello! Can you tell me a poem about cats and dogs?")
print(response.text)In this example, the
complete method is called with a prompt asking for a poem about cats and dogs. The response is then printed out.
If you want to stream the response as it’s being generated rather than waiting for the entire response to be generated, you can use the
stream_complete endpoint. Here is an example of how to use it:
response_iter = llm.stream_complete("Can you write me a poem about fast cars?")
for response in response_iter:
print(response.delta, end="", flush=True)In this example, the
stream_complete method is called with a prompt asking for a poem about fast cars. The response is then printed out as it is being generated.
You can find more information about this in the
LlamaIndex documentation ().
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Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:
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