Cleanups before publishing (#2)

Several cleanups:
- Flesh out the README
- Make the interface a little easier to use
- Add some examples
- Add some (sparse) documentation for public components
- Mark the `FinishReason` and `Engine` enums as non-exhaustive so new members can be added in the future without breaking backwards compatibility

Cargo.toml

@@ -2,7 +2,14 @@
 name = "openai-api"
 version = "0.1.0"
 authors = ["Josh Kuhn <deontologician@gmail.com>"]
+license-file = "LICENSE"
 edition = "2018"
+description = "OpenAI API library for rust"
+homepage = "https://github.com/deontologician/openai-api-rust/"
+repository = "https://github.com/deontologician/openai-api-rust/"
+keywords = ["openai", "gpt3"]
+categories = ["api-bindings", "asynchronous"]
+
 
 # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
 

README.md

@@ -1,2 +1,55 @@
 # openai-api-rust
-Rust client for OpenAI API
+A simple rust client for OpenAI API.
+
+Has a few conveniences, but is mostly at the level of the API itself.
+
+# Installation
+
+```
+$ cargo add openai-api-rust
+```
+
+# Quickstart
+
+```rust
+use openai_api::{api::CompletionArgs, OpenAIClient};
+
+#[tokio::main]
+async fn main() {
+    let api_token = std::env::var("OPENAI_SK").unwrap();
+    let client = OpenAIClient::new(&api_token);
+    let prompt = String::from("Once upon a time,");
+    println!(
+        "{}{}",
+        prompt,
+        client.complete(prompt.as_str()).await.unwrap()
+    );
+}
+```
+# Basic Usage
+
+## Creating a completion
+
+For simple demos and debugging, you can do a completion and use the `Display` instance of a `Completion` object to convert it to a string:
+
+```rust
+let response = client.complete("Once upon a time").await?;
+println!("{}", response);
+```
+
+To configure the prompt more explicitly, you can use the `CompletionArgs` builder:
+
+```rust
+let args = openai_api::api::CompletionArgs::builder()
+        .prompt("Once upon a time,")
+        .engine(Engine::Davinci)
+        .max_tokens(20)
+        .temperature(0.7)
+        .top_p(0.9)
+        .stop(vec!["\n".into()]);
+let response = args.complete(&client).await?;
+println!("Response: {}", response.choices[0].text);
+println!("Model used: {}", response.model);
+```
+
+See [examples/](./examples)

examples/chatloop.rs

@@ -0,0 +1,43 @@
+use openai_api::{
+    api::{CompletionArgs, Engine},
+    OpenAIClient,
+};
+
+const START_PROMPT: &str = "
+The following is a conversation with an AI assistant.
+The assistant is helpful, creative, clever, and very friendly.
+Human: Hello, who are you?
+AI: I am an AI. How can I help you today?";
+#[tokio::main]
+async fn main() {
+    let api_token = std::env::var("OPENAI_SK").unwrap();
+    let client = OpenAIClient::new(&api_token);
+    let mut context = String::from(START_PROMPT);
+    let mut args = CompletionArgs::builder();
+    args.engine(Engine::Davinci)
+        .max_tokens(45)
+        .stop(vec!["\n".into()])
+        .top_p(0.5)
+        .temperature(0.9)
+        .frequency_penalty(0.5);
+    println!("\x1b[1;36m{}\x1b[1;0m", context.split('\n').last().unwrap());
+    loop {
+        context.push_str("\nHuman: ");
+        if let Err(e) = std::io::stdin().read_line(&mut context) {
+            eprintln!("Error: {}", e);
+            break;
+        }
+        context.push_str("\nAI:");
+        match args.prompt(context.as_str()).complete(&client).await {
+            Ok(completion) => {
+                println!("\x1b[1;36m{}\x1b[1;0m", completion);
+                context.push_str(&completion.choices[0].text);
+            }
+            Err(e) => {
+                eprintln!("Error: {}", e);
+                break;
+            }
+        }
+    }
+    println!("Full conversation:\n{}", context);
+}

examples/story.rs

@@ -0,0 +1,14 @@
+///! Example that prints out a story from a prompt. Used in the readme.
+use openai_api::OpenAIClient;
+
+#[tokio::main]
+async fn main() {
+    let api_token = std::env::var("OPENAI_SK").unwrap();
+    let client = OpenAIClient::new(&api_token);
+    let prompt = String::from("Once upon a time,");
+    println!(
+        "{}{}",
+        prompt,
+        client.complete(prompt.as_str()).await.unwrap()
+    );
+}

src/lib.rs

@@ -1,3 +1,4 @@
+///! OpenAI API client library
 #[macro_use]
 extern crate derive_builder;
 
@@ -6,11 +7,12 @@ use thiserror::Error;
 
 type Result<T> = std::result::Result<T, OpenAIError>;
 
-#[allow(clippy::clippy::default_trait_access)]
+#[allow(clippy::default_trait_access)]
 pub mod api {
-
+    //! Data types corresponding to requests and responses from the API
     use std::collections::HashMap;
 
+    use super::OpenAIClient;
     use serde::{Deserialize, Serialize};
 
     /// Container type. Used in the api, but not useful for clients of this library
@@ -30,6 +32,7 @@ pub mod api {
     /// Engine types, known and unknown
     #[derive(Deserialize, Serialize, Debug, Ord, PartialOrd, Eq, PartialEq, Copy, Clone)]
     #[serde(rename_all = "kebab-case")]
+    #[non_exhaustive] // prevent clients from matching on every option
     pub enum Engine {
         Ada,
         Babbage,
@@ -56,10 +59,13 @@ pub mod api {
     }
 
     /// Options that affect the result
-    #[derive(Serialize, Debug, Builder)]
+    #[derive(Serialize, Debug, Builder, Clone)]
     pub struct CompletionArgs {
         #[builder(setter(into), default = "\"<|endoftext|>\".into()")]
         prompt: String,
+        #[builder(default = "Engine::Davinci")]
+        #[serde(skip_serializing)]
+        pub(super) engine: Engine,
         #[builder(default = "16")]
         max_tokens: u64,
         #[builder(default = "1.0")]
@@ -81,6 +87,7 @@ pub mod api {
         #[builder(default)]
         logit_bias: HashMap<String, f64>,
     }
+
     /* {
           "stream": false, // SSE streams back results
           "best_of": Option<u64>, //cant be used with stream
@@ -88,40 +95,80 @@ pub mod api {
     */
     // TODO: add validators for the different arguments
 
-    impl Default for CompletionArgs {
-        fn default() -> Self {
-            CompletionArgsBuilder::default()
-                .build()
-                .expect("Client error, invalid defaults")
-        }
-    }
-
     impl From<&str> for CompletionArgs {
         fn from(prompt_string: &str) -> Self {
             Self {
                 prompt: prompt_string.into(),
-                ..CompletionArgs::default()
+                ..CompletionArgsBuilder::default()
+                    .build()
+                    .expect("default should build")
             }
         }
     }
 
+    impl CompletionArgs {
+        /// Build a `CompletionArgs` from the defaults
+        #[must_use]
+        pub fn builder() -> CompletionArgsBuilder {
+            CompletionArgsBuilder::default()
+        }
+
+        /// Request a completion from the api
+        ///
+        /// # Errors
+        /// `OpenAIError::APIError` if the api returns an error
+        pub async fn complete(&self, client: &OpenAIClient) -> super::Result<Completion> {
+            client.complete(self.clone()).await
+        }
+    }
+
+    impl CompletionArgsBuilder {
+        /// Request a completion from the api
+        ///
+        /// # Errors
+        /// `OpenAIError::BadArguments` if the arguments to complete are not valid
+        /// `OpenAIError::APIError` if the api returns an error
+        pub async fn complete(&self, client: &OpenAIClient) -> super::Result<Completion> {
+            client.complete(self.build()?).await
+        }
+    }
+
     /// Represents a non-streamed completion response
     #[derive(Deserialize, Debug)]
     pub struct Completion {
-        id: String,
-        object: String,
-        created: u64,
-        model: String,
-        choices: Vec<Choice>,
+        /// Completion unique identifier
+        pub id: String,
+        /// Unix timestamp when the completion was generated
+        pub created: u64,
+        /// Exact model type and version used for the completion
+        pub model: String,
+        /// Timestamp
+        pub choices: Vec<Choice>,
     }
 
-    /// Represents a single choice
+    impl std::fmt::Display for Completion {
+        fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
+            write!(f, "{}", self.choices[0])
+        }
+    }
+
+    /// A single completion result
     #[derive(Deserialize, Debug)]
     pub struct Choice {
-        text: String,
-        index: u64,
-        logprobs: Option<LogProbs>,
-        finish_reason: FinishReason,
+        /// The text of the completion. Will contain the prompt if echo is True.
+        pub text: String,
+        /// Offset in the result where the completion began. Useful if using echo.
+        pub index: u64,
+        /// If requested, the log probabilities of the completion tokens
+        pub logprobs: Option<LogProbs>,
+        /// Why the completion ended when it did
+        pub finish_reason: FinishReason,
+    }
+
+    impl std::fmt::Display for Choice {
+        fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
+            write!(f, "{}", self.text)
+        }
     }
 
     /// Represents a logprobs subdocument
@@ -133,13 +180,18 @@ pub mod api {
         text_offset: Vec<u64>,
     }
 
+    /// Reason a prompt completion finished.
     #[derive(Deserialize, Debug)]
     #[serde(rename_all = "kebab-case")]
+    #[non_exhaustive]
     pub enum FinishReason {
+        /// The maximum length was reached
         Length,
+        /// The stop token was encountered
         Stop,
     }
 
+    /// Error response object from the server
     #[derive(Deserialize, Debug, Eq, PartialEq)]
     pub struct ErrorMessage {
         pub message: String,
@@ -147,46 +199,58 @@ pub mod api {
         pub error_type: String,
     }
 
+    /// API-level wrapper used in deserialization
     #[derive(Deserialize, Debug)]
-    pub struct ErrorWrapper {
+    pub(super) struct ErrorWrapper {
         pub error: ErrorMessage,
     }
 }
 
+/// This library's main `Error` type.
 #[derive(Error, Debug)]
 pub enum OpenAIError {
-    #[error("Invalid secret key")]
-    InvalidAPIKey {
-        #[from]
-        source: reqwest::header::InvalidHeaderValue,
-    },
+    /// An error returned by the API itself
     #[error("API Returned an Error document")]
     APIError(api::ErrorMessage),
+    /// An error the client discovers before talking to the API
+    #[error("Bad arguments")]
+    BadArguments(String),
 }
 
+impl From<api::ErrorMessage> for OpenAIError {
+    fn from(e: api::ErrorMessage) -> Self {
+        OpenAIError::APIError(e)
+    }
+}
+
+impl From<String> for OpenAIError {
+    fn from(e: String) -> Self {
+        OpenAIError::BadArguments(e)
+    }
+}
+
+/// Client object. Must be constructed to talk to the API.
 pub struct OpenAIClient {
     client: reqwest::Client,
     root: String,
 }
 
 impl OpenAIClient {
-    /// Creates a new `OpenAIClient`
-    ///
-    /// # Errors
-    /// `OpenAIError::InvalidAPIKey` if the api token has invalid characters
-    pub fn new(token: &str) -> Result<Self> {
+    /// Creates a new `OpenAIClient` given an api token
+    pub fn new(token: &str) -> Self {
         let mut headers = HeaderMap::new();
         headers.insert(
             reqwest::header::AUTHORIZATION,
-            reqwest::header::HeaderValue::from_str(&format!("Bearer {}", token))?,
+            reqwest::header::HeaderValue::from_str(&format!("Bearer {}", token))
+                .expect("Client library error. Header value badly formatted"),
         );
-        Ok(Self {
+        Self {
             client: reqwest::Client::builder()
                 .default_headers(headers)
                 .build()
                 .expect("Client library error. Should have constructed a valid http client."),
             root: "https://api.openai.com/v1".into(),
-        })
+        }
     }
 
     /// Private helper for making gets
@@ -216,8 +280,6 @@ impl OpenAIClient {
     ///
     /// # Errors
     /// - `OpenAIError::APIError` if the server returns an error
-    /// - `OpenAIError::ServerFormatError` if the json response wasn't parseable (most
-    ///    likely a bug in this client, please report it)
     pub async fn engines(&self) -> Result<Vec<api::EngineInfo>> {
         self.get("engines").await.map(|r: api::Container<_>| r.data)
     }
@@ -227,8 +289,6 @@ impl OpenAIClient {
     ///
     /// # Errors
     /// - `OpenAIError::APIError` if the server returns an error
-    /// - `OpenAIError::ServerFormatError` if the json response wasn't parseable (most
-    ///    likely a bug in this client, please report it)
     pub async fn engine(&self, engine: api::Engine) -> Result<api::EngineInfo> {
         self.get(&format!("engines/{}", engine)).await
     }
@@ -265,11 +325,11 @@ impl OpenAIClient {
     ///  - `OpenAIError::APIError` if the api returns an error
     pub async fn complete(
         &self,
-        engine: api::Engine,
         prompt: impl Into<api::CompletionArgs>,
     ) -> Result<api::Completion> {
+        let args = prompt.into();
         Ok(self
-            .post(&format!("engines/{}/completions", engine), prompt.into())
+            .post(&format!("engines/{}/completions", args.engine), args)
             .await?
             //.text()
             .json()
@@ -284,7 +344,7 @@ mod unit {
     use crate::{api, OpenAIClient, OpenAIError};
 
     fn mocked_client() -> OpenAIClient {
-        let mut client = OpenAIClient::new("bogus").unwrap();
+        let mut client = OpenAIClient::new("bogus");
         client.root = mockito::server_url();
         client
     }
@@ -439,7 +499,7 @@ mod integration {
         let sk = std::env::var("OPENAI_SK").expect(
             "To run integration tests, you must put set the OPENAI_SK env var to your api token",
         );
-        OpenAIClient::new(&sk).expect("client build failed")
+        OpenAIClient::new(&sk)
     }
 
     #[tokio::test]
@@ -468,7 +528,7 @@ mod integration {
     #[tokio::test]
     async fn complete_string() -> crate::Result<()> {
         let client = get_client();
-        client.complete(api::Engine::Ada, "Hey there").await?;
+        client.complete("Hey there").await?;
         Ok(())
     }
 
@@ -492,7 +552,7 @@ mod integration {
             })
             .build()
             .expect("Build should have succeeded");
-        client.complete(api::Engine::Ada, args).await?;
+        client.complete(args).await?;
         Ok(())
     }
 }