Upgrade dependencies and update doc links

async-openai/Cargo.toml

@@ -17,17 +17,17 @@ repository = "https://github.com/64bit/async-openai"
 
 [dependencies]
 backoff = {version = "0.4.0", features = ["tokio"] }
-base64 = "0.20.0"
-futures = "0.3.25"
+base64 = "0.21.0"
+futures = "0.3.26"
 rand = "0.8.5"
-reqwest = { version = "0.11.13", features = ["json", "stream", "multipart"] }
+reqwest = { version = "0.11.14", features = ["json", "stream", "multipart"] }
 reqwest-eventsource = "0.4.0"
 serde = { version = "1.0.152", features = ["derive", "rc"] }
-serde_json = "1.0.91"
+serde_json = "1.0.93"
 thiserror = "1.0.38"
-tokio = { version = "1.23.0", features = ["fs", "macros"] }
+tokio = { version = "1.25.0", features = ["fs", "macros"] }
 tokio-stream = "0.1.11"
-tokio-util = { version = "0.7.4", features = ["codec", "io-util"] }
+tokio-util = { version = "0.7.7", features = ["codec", "io-util"] }
 tracing = "0.1.37"
 derive_builder = "0.12.0"
 

async-openai/README.md

@@ -32,14 +32,14 @@
   - [ ] Microsoft Azure Endpoints / AD Authentication (see [issue](https://github.com/64bit/async-openai/issues/32))
   - [x] Models
   - [x] Moderations
-- Non-streaming requests are retried with exponential backoff when [rate limited](https://help.openai.com/en/articles/5955598-is-api-usage-subject-to-any-rate-limits) by the API server.
+- Non-streaming requests are retried with exponential backoff when [rate limited](https://platform.openai.com/docs/guides/rate-limits) by the API server.
 - Ergonomic Rust library with builder pattern for all request objects.
 
 *Being a young project there could be rough edges.*
 
 ## Usage
 
-The library reads [API key](https://beta.openai.com/account/api-keys) from the environment variable `OPENAI_API_KEY`.
+The library reads [API key](https://platform.openai.com/account/api-keys) from the environment variable `OPENAI_API_KEY`.
 
 ```bash
 # On macOS/Linux

async-openai/src/download.rs

@@ -1,5 +1,6 @@
 use std::path::{Path, PathBuf};
 
+use base64::{engine::general_purpose, Engine as _};
 use rand::{distributions::Alphanumeric, Rng};
 use reqwest::Url;
 
@@ -69,7 +70,9 @@ pub(crate) async fn save_b64<P: AsRef<Path>>(b64: &str, dir: P) -> Result<PathBu
 
     tokio::fs::write(
         path.as_path(),
-        base64::decode(b64).map_err(|e| OpenAIError::FileSaveError(e.to_string()))?,
+        general_purpose::STANDARD
+            .decode(b64)
+            .map_err(|e| OpenAIError::FileSaveError(e.to_string()))?,
     )
     .await
     .map_err(|e| OpenAIError::FileSaveError(e.to_string()))?;

async-openai/src/embedding.rs

@@ -7,7 +7,7 @@ use crate::{
 /// Get a vector representation of a given input that can be easily
 /// consumed by machine learning models and algorithms.
 ///
-/// Related guide: [Embeddings](https://beta.openai.com/docs/guides/embeddings/what-are-embeddings)
+/// Related guide: [Embeddings](https://platform.openai.com/docs/guides/embeddings/what-are-embeddings)
 pub struct Embeddings<'c> {
     client: &'c Client,
 }

async-openai/src/file.rs

@@ -5,7 +5,7 @@ use crate::{
     Client,
 };
 
-/// Files are used to upload documents that can be used with features like [Fine-tuning](https://beta.openai.com/docs/api-reference/fine-tunes).
+/// Files are used to upload documents that can be used with features like [Fine-tuning](https://platform.openai.com/docs/api-reference/fine-tunes).
 pub struct Files<'c> {
     client: &'c Client,
 }

async-openai/src/fine_tune.rs

@@ -9,7 +9,7 @@ use crate::{
 
 /// Manage fine-tuning jobs to tailor a model to your specific training data.
 ///
-/// Related guide: [Fine-tune models](https://beta.openai.com/docs/guides/fine-tuning)
+/// Related guide: [Fine-tune models](https://platform.openai.com/docs/guides/fine-tuning)
 pub struct FineTunes<'c> {
     client: &'c Client,
 }
@@ -23,7 +23,7 @@ impl<'c> FineTunes<'c> {
     ///
     /// Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.
     ///
-    /// [Learn more about Fine-tuning](https://beta.openai.com/docs/guides/fine-tuning)
+    /// [Learn more about Fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
     pub async fn create(&self, request: CreateFineTuneRequest) -> Result<FineTune, OpenAIError> {
         self.client.post("/fine-tunes", request).await
     }
@@ -35,7 +35,7 @@ impl<'c> FineTunes<'c> {
 
     /// Gets info about the fine-tune job.
     ///
-    /// [Learn more about Fine-tuning](https://beta.openai.com/docs/guides/fine-tuning)
+    /// [Learn more about Fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
     pub async fn retrieve(&self, fine_tune_id: &str) -> Result<FineTune, OpenAIError> {
         self.client
             .get(format!("/fine-tunes/{fine_tune_id}").as_str())

async-openai/src/image.rs

@@ -9,7 +9,7 @@ use crate::{
 
 /// Given a prompt and/or an input image, the model will generate a new image.
 ///
-/// Related guide: [Image generation](https://beta.openai.com/docs/guides/images/introduction)
+/// Related guide: [Image generation](https://platform.openai.com/docs/guides/images/introduction)
 pub struct Images<'c> {
     client: &'c Client,
 }

async-openai/src/model.rs

@@ -5,7 +5,7 @@ use crate::{
 };
 
 /// List and describe the various models available in the API.
-/// You can refer to the [Models](https://beta.openai.com/docs/models) documentation to understand what
+/// You can refer to the [Models](https://platform.openai.com/docs/models) documentation to understand what
 /// models are available and the differences between them.
 pub struct Models<'c> {
     client: &'c Client,

async-openai/src/moderation.rs

@@ -6,7 +6,7 @@ use crate::{
 
 /// Given a input text, outputs if the model classifies it as violating OpenAI's content policy.
 ///
-/// Related guide: [Moderations](https://beta.openai.com/docs/guides/moderation/overview)
+/// Related guide: [Moderations](https://platform.openai.com/docs/guides/moderation/overview)
 pub struct Moderations<'c> {
     client: &'c Client,
 }

async-openai/src/types/types.rs

@@ -44,7 +44,7 @@ pub enum Stop {
 #[builder(derive(Debug))]
 #[builder(build_fn(error = "OpenAIError"))]
 pub struct CreateCompletionRequest {
-    /// ID of the model to use. You can use the [List models](https://beta.openai.com/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](https://beta.openai.com/docs/models/overview) for descriptions of them.
+    /// ID of the model to use. You can use the [List models](https://platform.openai.com/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](https://platform.openai.com/docs/models/overview) for descriptions of them.
     pub model: String,
 
     /// The prompt(s) to generate completions for, encoded as a string, array of strings, array of tokens, or array of token arrays.
@@ -103,13 +103,13 @@ pub struct CreateCompletionRequest {
 
     /// Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
     ///
-    /// [See more information about frequency and presence penalties.](https://beta.openai.com/docs/api-reference/parameter-details)
+    /// [See more information about frequency and presence penalties.](https://platform.openai.com/docs/api-reference/parameter-details)
     #[serde(skip_serializing_if = "Option::is_none")]
     pub presence_penalty: Option<f32>, // min: -2.0, max: 2.0, default 0
 
     /// Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
     ///
-    /// [See more information about frequency and presence penalties.](https://beta.openai.com/docs/api-reference/parameter-details)
+    /// [See more information about frequency and presence penalties.](https://platform.openai.com/docs/api-reference/parameter-details)
     #[serde(skip_serializing_if = "Option::is_none")]
     pub frequency_penalty: Option<f32>, // min: -2.0, max: 2.0, default: 0
 
@@ -129,7 +129,7 @@ pub struct CreateCompletionRequest {
     #[serde(skip_serializing_if = "Option::is_none")]
     pub logit_bias: Option<HashMap<String, serde_json::Value>>, // default: null
 
-    /// A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](https://beta.openai.com/docs/usage-policies/end-user-ids).
+    /// A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/usage-policies/end-user-ids).
     #[serde(skip_serializing_if = "Option::is_none")]
     pub user: Option<String>,
 }
@@ -178,7 +178,7 @@ pub type CompletionResponseStream =
 #[builder(derive(Debug))]
 #[builder(build_fn(error = "OpenAIError"))]
 pub struct CreateEditRequest {
-    /// ID of the model to use. You can use the [List models](https://beta.openai.com/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](https://beta.openai.com/docs/models/overview) for descriptions of them.
+    /// ID of the model to use. You can use the [List models](https://platform.openai.com/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](https://platform.openai.com/docs/models/overview) for descriptions of them.
     pub model: String,
 
     /// The input text to use as a starting point for the edit.
@@ -257,7 +257,7 @@ pub struct CreateImageRequest {
     #[serde(skip_serializing_if = "Option::is_none")]
     pub response_format: Option<ResponseFormat>,
 
-    /// A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](https://beta.openai.com/docs/usage-policies/end-user-ids).
+    /// A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/usage-policies/end-user-ids).
     #[serde(skip_serializing_if = "Option::is_none")]
     pub user: Option<String>,
 }
@@ -306,7 +306,7 @@ pub struct CreateImageEditRequest {
     /// The format in which the generated images are returned. Must be one of `url` or `b64_json`.
     pub response_format: Option<ResponseFormat>,
 
-    /// A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](https://beta.openai.com/docs/usage-policies/end-user-ids).
+    /// A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/usage-policies/end-user-ids).
     pub user: Option<String>,
 }
 
@@ -329,7 +329,7 @@ pub struct CreateImageVariationRequest {
     /// The format in which the generated images are returned. Must be one of `url` or `b64_json`.
     pub response_format: Option<ResponseFormat>,
 
-    /// A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](https://beta.openai.com/docs/usage-policies/end-user-ids).
+    /// A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/usage-policies/end-user-ids).
     pub user: Option<String>,
 }
 
@@ -424,12 +424,12 @@ pub struct FileInput {
 pub struct CreateFileRequest {
     /// Name of the [JSON Lines](https://jsonlines.readthedocs.io/en/latest/) file to be uploaded.
     ///
-    /// If the `purpose` is set to "fine-tune", each line is a JSON record with "prompt" and "completion" fields representing your [training examples](https://beta.openai.com/docs/guides/fine-tuning/prepare-training-data).
+    /// If the `purpose` is set to "fine-tune", each line is a JSON record with "prompt" and "completion" fields representing your [training examples](https://platform.openai.com/docs/guides/fine-tuning/prepare-training-data).
     pub file: FileInput,
 
     /// The intended purpose of the uploaded documents.
     ///
-    /// Use "fine-tune" for [Fine-tuning](https://beta.openai.com/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file.
+    /// Use "fine-tune" for [Fine-tuning](https://platform.openai.com/docs/api-reference/fine-tunes). This allows us to validate the format of the uploaded file.
     pub purpose: String,
 }
 
@@ -467,33 +467,33 @@ pub struct OpenAIFile {
 pub struct CreateFineTuneRequest {
     /// The ID of an uploaded file that contains training data.
     ///
-    /// See [upload file](https://beta.openai.com/docs/api-reference/files/upload) for how to upload a file.
+    /// See [upload file](https://platform.openai.com/docs/api-reference/files/upload) for how to upload a file.
     ///
     /// Your dataset must be formatted as a JSONL file, where each training
     /// example is a JSON object with the keys "prompt" and "completion".
     /// Additionally, you must upload your file with the purpose `fine-tune`.
     ///
-    /// See the [fine-tuning guide](https://beta.openai.com/docs/guides/fine-tuning/creating-training-data) for more details.
+    /// See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning/creating-training-data) for more details.
     pub training_file: String,
 
     /// The ID of an uploaded file that contains validation data.
     ///
     /// If you provide this file, the data is used to generate validation
     /// metrics periodically during fine-tuning. These metrics can be viewed in
-    /// the [fine-tuning results file](https://beta.openai.com/docs/guides/fine-tuning/analyzing-your-fine-tuned-model).
+    /// the [fine-tuning results file](https://platform.openai.com/docs/guides/fine-tuning/analyzing-your-fine-tuned-model).
     /// Your train and validation data should be mutually exclusive.
     ///
     /// Your dataset must be formatted as a JSONL file, where each validation
     /// example is a JSON object with the keys "prompt" and "completion".
     /// Additionally, you must upload your file with the purpose `fine-tune`.
     ///
-    /// See the [fine-tuning guide](https://beta.openai.com/docs/guides/fine-tuning/creating-training-data) for more details.
+    /// See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning/creating-training-data) for more details.
     #[serde(skip_serializing_if = "Option::is_none")]
     pub validation_file: Option<String>,
 
     /// The name of the base model to fine-tune. You can select one of "ada",
     /// "babbage", "curie", "davinci", or a fine-tuned model created after 2022-04-21.
-    /// To learn more about these models, see the [Models](https://beta.openai.com/docs/models) documentation.
+    /// To learn more about these models, see the [Models](https://platform.openai.com/docs/models) documentation.
     #[serde(skip_serializing_if = "Option::is_none")]
     pub model: Option<String>,
 
@@ -537,7 +537,7 @@ pub struct CreateFineTuneRequest {
 
     /// If set, we calculate classification-specific metrics such as accuracy
     /// and F-1 score using the validation set at the end of every epoch.
-    /// These metrics can be viewed in the [results file](https://beta.openai.com/docs/guides/fine-tuning/analyzing-your-fine-tuned-model).
+    /// These metrics can be viewed in the [results file](https://platform.openai.com/docs/guides/fine-tuning/analyzing-your-fine-tuned-model).
     ///
     /// In order to compute classification metrics, you must provide a
     /// `validation_file`. Additionally, you must
@@ -643,9 +643,9 @@ pub enum EmbeddingInput {
 #[builder(build_fn(error = "OpenAIError"))]
 pub struct CreateEmbeddingRequest {
     /// ID of the model to use. You can use the
-    /// [List models](https://beta.openai.com/docs/api-reference/models/list)
+    /// [List models](https://platform.openai.com/docs/api-reference/models/list)
     /// API to see all of your available models, or see our
-    /// [Model overview](https://beta.openai.com/docs/models/overview)
+    /// [Model overview](https://platform.openai.com/docs/models/overview)
     /// for descriptions of them.
     pub model: String,
 
@@ -656,7 +656,7 @@ pub struct CreateEmbeddingRequest {
     pub input: EmbeddingInput,
 
     /// A unique identifier representing your end-user, which will help OpenAI
-    ///  to monitor and detect abuse. [Learn more](https://beta.openai.com/docs/usage-policies/end-user-ids).
+    ///  to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/usage-policies/end-user-ids).
     #[serde(skip_serializing_if = "Option::is_none")]
     pub user: Option<String>,
 }