OpenAI LLM Connector

This node establishes a connection with an OpenAI Large Language Model (LLM). After successfully authenticating using the OpenAI Authenticator node, you can select an LLM from a predefined list or explore advanced options to get a list of all models available for your API key (including fine-tunes). Note that only models compatible with OpenAI's Completions API will work with this node (unfortunately this information is not available programmatically). Find documentation about all models at OpenAI.

If you a looking for gpt-3.5-turbo (the model behind ChatGPT) or gpt-4, check out the OpenAI Chat Model Connector node.

Options

OpenAI Model Selection

Model ID

Select an OpenAI completions model to be used.

Specific Model ID

Select from a list of all available OpenAI models. The model chosen has to be compatible with OpenAI's Completions API. This configuration will overwrite the default model configurations when set.

Model Parameters

Maximum Response Length (token)

The maximum number of tokens to generate.

The token count of your prompt plus max_tokens cannot exceed the model's context length.

Temperature

Sampling temperature to use, between 0.0 and 2.0. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 for ones with a well-defined answer. It is generally recommend altering this or top_p but not both.

Completions generation

How many chat completion choices to generate for each input message. This parameter generates many completions and can quickly consume your token quota.

Top-p sampling

An alternative to sampling with temperature, where the model considers the results of the tokens (words) with top_p probability mass. Hence, 0.1 means only the tokens comprising the top 10% probability mass are considered.

Input Ports

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Validated authentication for OpenAI.

Output Ports

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Configured OpenAI LLM connection.

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