Chat Completion
The Chat Completion returns the response from an OpenAI chat model given a user prompt.
Example 
This flow processes a user's chat question by first receiving it through a Chat completion, then converting it into a vector using a Text embedder, performing a Vector search in a postgreSQL database for relevant context, and finally passing the user input and retrieved context to OpenAI Chat completion, which generates a response that is returned to the client via the Return node.
Properties
| Name | Type | Description |
|---|---|---|
| Title | Optional | The title of the action. |
| Connection | Required | Defines the connection to OpenAI. |
| Model id | Required | Id of the chosen Model. |
| User Prompt | Required | The input message from the user, which the model processes to generate a response. |
| System Prompt | Optional | A system-level instruction that guides the model’s behavior and response style. |
| History | Optional | A record of past interactions that provides context to the conversation, helping the model maintain continuity. |
| Temperature | Optional | Temperature in models controls the randomness and creativity of the generated responses. Lower temperatures (e.g., 0.2) produce more focused, predictable text, ideal for tasks that require precision. Higher temperatures (e.g., 1.5) increase creativity and variability, but may risk generating less coherent or relevant content, making it important to adjust based on your desired outcome. The default is 0.7 if nothing is defined by the user. |
| Max Completion Tokens | Optional | Sets a limit on the number of tokens (words, characters, or pieces of text) in the model’s response. |
| Result Variable Name | Optional | Stores the generated AI response. Default: "response". |
| Description | Optional | Additional details or notes regarding the chat completion setup. |