Struct llm_chain_openai::chatgpt::Step

pub struct Step { /* private fields */ }

The Step struct represents an individual step within a chain for ChatGPT models. It is responsible for configuring the input parameters for the model and providing the prompt.

By creating a Step, you can customize the model and prompt used for a particular stage within an llm-chain workflow. This allows for granular control over the text generation process, enabling you to create sophisticated multi-step chains.

Example

use llm_chain_openai::chatgpt::{Step, Model, ChatPromptTemplate};
let model = Model::ChatGPT3_5Turbo;
let prompt = ChatPromptTemplate::system_and_user("You are an assistant that speaks like Shakespeare.", "tell me a joke");

let chat_gpt_step = Step::new(model, prompt);

Implementations

impl Step

pub fn new<P: Into<ChatPromptTemplate>>(model: Model, prompt: P) -> Step

Trait Implementations

impl<'de> Deserialize<'de> for Step

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for Step

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Step for Step

type Output = CreateChatCompletionRequest

fn format(&self, parameters: &Parameters) -> Self::Output

impl StorableEntity for Step

fn get_metadata() -> Vec<(String, String)>