13 releases
0.3.6 | Jul 3, 2023 |
---|---|
0.3.5 | Jul 2, 2023 |
0.3.1 | Jun 30, 2023 |
0.2.0 | Jun 27, 2023 |
0.1.4 | Jun 26, 2023 |
#1000 in Web programming
Used in macro-gpt
75KB
1.5K
SLoC
chatgpt-functions
This crate provides a wrapper around the OpenAI API to use GPT-3.5 and GPT-4 for chatbots. It also provides a way to define functions that can be called from the chatbot.
Disclaimer
This is a work in progress. The API is not stable and will change.
Requirements
- Rust 1.70.0 or higher
- OpenAI API key. To get one:
- Go to https://openai.com/
- Sign up
- Go to https://platform.openai.com/account/api-keys
- Create a new API key
- Copy the key and store it in a safe place
Usage
Add the following to your Cargo.toml
:
[dependencies]
chatgpt-functions = "0.3.1"
Documentation
The documentation is available at https://docs.rs/chatgpt-functions
Features
- Chat with GPT-3.5 and GPT-4
- Define functions that can be called from the chatbot
Examples
You can find examples in the examples
folder.
Example without functions
use anyhow::{Context, Result};
use dotenv::dotenv;
use chatgpt_functions::chat_gpt::ChatGPTBuilder;
#[tokio::main]
async fn main() -> Result<()> {
dotenv().ok();
let key = std::env::var("OPENAI_API_KEY")?;
let mut gpt = ChatGPTBuilder::new().openai_api_token(key).build()?;
println!("Initialised chatbot. Enter your message to start a conversation.");
println!("Using:");
println!("- Model: {}", gpt.chat_context.model);
println!("- Session ID: {}", gpt.session_id);
println!("You can quit by pressing Ctrl+C (linux), or Cmd+C (Mac).");
println!("--------------------------------------");
loop {
println!("- Enter your message and press Enter:");
let mut input = String::new();
std::io::stdin()
.read_line(&mut input)
.context("Failed to read your input")?;
input.pop(); // Remove the trailing newline
println!("- AI:");
let answer = gpt.completion_managed(input).await?;
println!("{}", answer.content().expect("Failed to get the content"));
println!("--------------------------------------");
}
}
Example with functions
use anyhow::{Context, Result};
use chatgpt_functions::{
chat_gpt::ChatGPTBuilder,
function_specification::{FunctionSpecification},
};
use dotenv::dotenv;
#[tokio::main]
async fn main() -> Result<()> {
dotenv().ok();
let key = std::env::var("OPENAI_API_KEY")?;
let mut gpt = ChatGPTBuilder::new().openai_api_token(key).build()?;
let json = r#"
{
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA"
},
"unit": {
"type": "string",
"enum": ["celsius", "fahrenheit"]
}
},
"required": ["location"]
}
}
"#;
let function: FunctionSpecification =
serde_json::from_str(json).expect("Could not parse correctly the function specification");
gpt.push_function(function);
println!("Initialised chatbot. Enter your message to start a conversation.");
println!("Using:");
println!("- Model: {}", gpt.chat_context.model);
println!("- Session ID: {}", gpt.session_id);
println!("You can quit by pressing Ctrl+C (linux), or Cmd+C (Mac).");
println!("--------------------------------------");
loop {
println!("- Enter your message and press Enter:");
let mut input = String::new();
std::io::stdin()
.read_line(&mut input)
.context("Failed to read your input")?;
input.pop(); // Remove the trailing newline
println!("- AI:");
let answer = gpt.completion_managed(input).await?;
println!("{}", answer.content().expect("Failed to get the content"));
println!("--------------------------------------");
}
}
Example in bash of an interaction with GPT
curl https://api.openai.com/v1/chat/completions -H "Content-Type: application/json" -H "Authorization: Bearer $OPENAI_API_KEY" -d '{
"model": "gpt-3.5-turbo-0613",
"messages": [{"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "What is the weather like in Madrid, Spain?"}],
"functions": [{
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA"
},
"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
},
"required": ["location"]
}
}],
"function_call": "auto"
}'
{
"id": "chatcmpl-7Ut7jsNlTUO9k9L5kBF0uDAyG19pK",
"object": "chat.completion",
"created": 1687596091,
"model": "gpt-3.5-turbo-0613",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": null,
"function_call": {
"name": "get_current_weather",
"arguments": "{\n \"location\": \"Madrid, Spain\"\n}"
}
},
"finish_reason": "function_call"
}
],
"usage": {
"prompt_tokens": 90,
"completion_tokens": 19,
"total_tokens": 109
}
}
Contributing
Contributions are welcome! Please open an issue or a pull request.
Dependencies
~5–16MB
~223K SLoC