chore(next => master): release 4.7.0

.release-please-manifest.json

@@ -1,3 +1,3 @@
 {
-  ".": "4.6.0"
+  ".": "4.7.0"
 }

CHANGELOG.md

@@ -1,5 +1,14 @@
 # Changelog
 
+## 4.7.0 (2023-09-14)
+
+Full Changelog: [v4.6.0...v4.7.0](https://github.com/openai/openai-node/compare/v4.6.0...v4.7.0)
+
+### Features
+
+* **client:** retry on 408 Request Timeout ([#310](https://github.com/openai/openai-node/issues/310)) ([1f98eac](https://github.com/openai/openai-node/commit/1f98eac5be956e56d75ef5456115165b45a4763c))
+* make docs urls in comments absolute ([#306](https://github.com/openai/openai-node/issues/306)) ([9db3819](https://github.com/openai/openai-node/commit/9db381961e38d2280b0602447e7d91691b327bde))
+
 ## 4.6.0 (2023-09-08)
 
 Full Changelog: [v4.5.0...v4.6.0](https://github.com/openai/openai-node/compare/v4.5.0...v4.6.0)

README.md

@@ -178,8 +178,8 @@ See [`@azure/openai`](https://www.npmjs.com/package/@azure/openai) for an Azure-
 ### Retries
 
 Certain errors will be automatically retried 2 times by default, with a short exponential backoff.
-Connection errors (for example, due to a network connectivity problem), 409 Conflict, 429 Rate Limit,
-and >=500 Internal errors will all be retried by default.
+Connection errors (for example, due to a network connectivity problem), 408 Request Timeout, 409 Conflict,
+429 Rate Limit, and >=500 Internal errors will all be retried by default.
 
 You can use the `maxRetries` option to configure or disable this:
 

package.json

@@ -1,6 +1,6 @@
 {
   "name": "openai",
-  "version": "4.6.0",
+  "version": "4.7.0",
   "description": "Client library for the OpenAI API",
   "author": "OpenAI <[email protected]>",
   "types": "dist/index.d.ts",

src/core.ts

@@ -463,6 +463,9 @@ export abstract class APIClient {
     if (shouldRetryHeader === 'true') return true;
     if (shouldRetryHeader === 'false') return false;
 
+    // Retry on request timeouts.
+    if (response.status === 408) return true;
+
     // Retry on lock timeouts.
     if (response.status === 409) return true;
 

src/resources/audio/transcriptions.ts

@@ -39,8 +39,9 @@ export interface TranscriptionCreateParams {
 
   /**
    * An optional text to guide the model's style or continue a previous audio
-   * segment. The [prompt](/docs/guides/speech-to-text/prompting) should match the
-   * audio language.
+   * segment. The
+   * [prompt](https://platform.openai.com/docs/guides/speech-to-text/prompting)
+   * should match the audio language.
    */
   prompt?: string;
 

src/resources/audio/translations.ts

@@ -32,8 +32,9 @@ export interface TranslationCreateParams {
 
   /**
    * An optional text to guide the model's style or continue a previous audio
-   * segment. The [prompt](/docs/guides/speech-to-text/prompting) should be in
-   * English.
+   * segment. The
+   * [prompt](https://platform.openai.com/docs/guides/speech-to-text/prompting)
+   * should be in English.
    */
   prompt?: string;
 

src/resources/chat/completions.ts

@@ -304,8 +304,8 @@ export interface ChatCompletionCreateParamsBase {
 
   /**
    * ID of the model to use. See the
-   * [model endpoint compatibility](/docs/models/model-endpoint-compatibility) table
-   * for details on which models work with the Chat API.
+   * [model endpoint compatibility](https://platform.openai.com/docs/models/model-endpoint-compatibility)
+   * table for details on which models work with the Chat API.
    */
   model:
     | (string & {})
@@ -326,7 +326,7 @@ export interface ChatCompletionCreateParamsBase {
    * 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.](/docs/guides/gpt/parameter-details)
+   * [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/gpt/parameter-details)
    */
   frequency_penalty?: number | null;
 
@@ -377,7 +377,7 @@ export interface ChatCompletionCreateParamsBase {
    * 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.](/docs/guides/gpt/parameter-details)
+   * [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/gpt/parameter-details)
    */
   presence_penalty?: number | null;
 
@@ -416,7 +416,8 @@ export interface ChatCompletionCreateParamsBase {
 
   /**
    * A unique identifier representing your end-user, which can help OpenAI to monitor
-   * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
+   * and detect abuse.
+   * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids).
    */
   user?: string;
 }
@@ -438,7 +439,8 @@ export namespace ChatCompletionCreateParams {
 
     /**
      * The parameters the functions accepts, described as a JSON Schema object. See the
-     * [guide](/docs/guides/gpt/function-calling) for examples, and the
+     * [guide](https://platform.openai.com/docs/guides/gpt/function-calling) for
+     * examples, and the
      * [JSON Schema reference](https://json-schema.org/understanding-json-schema/) for
      * documentation about the format.
      *

src/resources/completions.ts

@@ -117,9 +117,10 @@ export type CompletionCreateParams = CompletionCreateParamsNonStreaming | Comple
 export interface CompletionCreateParamsBase {
   /**
    * ID of the model to use. You can use the
-   * [List models](/docs/api-reference/models/list) API to see all of your available
-   * models, or see our [Model overview](/docs/models/overview) for descriptions of
-   * them.
+   * [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.
    */
   model:
     | (string & {})
@@ -166,7 +167,7 @@ export interface CompletionCreateParamsBase {
    * 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.](/docs/guides/gpt/parameter-details)
+   * [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/gpt/parameter-details)
    */
   frequency_penalty?: number | null;
 
@@ -221,7 +222,7 @@ export interface CompletionCreateParamsBase {
    * 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.](/docs/guides/gpt/parameter-details)
+   * [See more information about frequency and presence penalties.](https://platform.openai.com/docs/guides/gpt/parameter-details)
    */
   presence_penalty?: number | null;
 
@@ -266,7 +267,8 @@ export interface CompletionCreateParamsBase {
 
   /**
    * A unique identifier representing your end-user, which can help OpenAI to monitor
-   * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
+   * and detect abuse.
+   * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids).
    */
   user?: string;
 }

src/resources/embeddings.ts

@@ -61,7 +61,8 @@ export namespace CreateEmbeddingResponse {
 export interface Embedding {
   /**
    * The embedding vector, which is a list of floats. The length of vector depends on
-   * the model as listed in the [embedding guide](/docs/guides/embeddings).
+   * the model as listed in the
+   * [embedding guide](https://platform.openai.com/docs/guides/embeddings).
    */
   embedding: Array<number>;
 
@@ -89,15 +90,17 @@ export interface EmbeddingCreateParams {
 
   /**
    * ID of the model to use. You can use the
-   * [List models](/docs/api-reference/models/list) API to see all of your available
-   * models, or see our [Model overview](/docs/models/overview) for descriptions of
-   * them.
+   * [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.
    */
   model: (string & {}) | 'text-embedding-ada-002';
 
   /**
    * A unique identifier representing your end-user, which can help OpenAI to monitor
-   * and detect abuse. [Learn more](/docs/guides/safety-best-practices/end-user-ids).
+   * and detect abuse.
+   * [Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids).
    */
   user?: string;
 }

src/resources/files.ts

@@ -153,8 +153,9 @@ export interface FileCreateParams {
   /**
    * The intended purpose of the uploaded documents.
    *
-   * Use "fine-tune" for [fine-tuning](/docs/api-reference/fine-tuning). 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-tuning). This
+   * allows us to validate the format of the uploaded file.
    */
   purpose: string;
 }

src/resources/fine-tunes.ts

@@ -15,7 +15,7 @@ export class FineTunes extends APIResource {
    * 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](/docs/guides/legacy-fine-tuning)
+   * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/legacy-fine-tuning)
    */
   create(body: FineTuneCreateParams, options?: Core.RequestOptions): Core.APIPromise<FineTune> {
     return this.post('/fine-tunes', { body, ...options });
@@ -24,7 +24,7 @@ export class FineTunes extends APIResource {
   /**
    * Gets info about the fine-tune job.
    *
-   * [Learn more about fine-tuning](/docs/guides/legacy-fine-tuning)
+   * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/legacy-fine-tuning)
    */
   retrieve(fineTuneId: string, options?: Core.RequestOptions): Core.APIPromise<FineTune> {
     return this.get(`/fine-tunes/${fineTuneId}`, options);
@@ -105,8 +105,8 @@ export interface FineTune {
 
   /**
    * The hyperparameters used for the fine-tuning job. See the
-   * [fine-tuning guide](/docs/guides/legacy-fine-tuning/hyperparameters) for more
-   * details.
+   * [fine-tuning guide](https://platform.openai.com/docs/guides/legacy-fine-tuning/hyperparameters)
+   * for more details.
    */
   hyperparams: FineTune.Hyperparams;
 
@@ -160,8 +160,8 @@ export interface FineTune {
 export namespace FineTune {
   /**
    * The hyperparameters used for the fine-tuning job. See the
-   * [fine-tuning guide](/docs/guides/legacy-fine-tuning/hyperparameters) for more
-   * details.
+   * [fine-tuning guide](https://platform.openai.com/docs/guides/legacy-fine-tuning/hyperparameters)
+   * for more details.
    */
   export interface Hyperparams {
     /**
@@ -224,15 +224,16 @@ export interface FineTuneCreateParams {
   /**
    * The ID of an uploaded file that contains training data.
    *
-   * See [upload file](/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](/docs/guides/legacy-fine-tuning/creating-training-data) for
-   * more details.
+   * [fine-tuning guide](https://platform.openai.com/docs/guides/legacy-fine-tuning/creating-training-data)
+   * for more details.
    */
   training_file: string;
 
@@ -276,7 +277,7 @@ export interface FineTuneCreateParams {
    * 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](/docs/guides/legacy-fine-tuning/analyzing-your-fine-tuned-model).
+   * [results file](https://platform.openai.com/docs/guides/legacy-fine-tuning/analyzing-your-fine-tuned-model).
    *
    * In order to compute classification metrics, you must provide a
    * `validation_file`. Additionally, you must specify `classification_n_classes` for
@@ -299,8 +300,8 @@ export interface FineTuneCreateParams {
   /**
    * 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 and before
-   * 2023-08-22. To learn more about these models, see the [Models](/docs/models)
-   * documentation.
+   * 2023-08-22. To learn more about these models, see the
+   * [Models](https://platform.openai.com/docs/models) documentation.
    */
   model?: (string & {}) | 'ada' | 'babbage' | 'curie' | 'davinci' | null;
 
@@ -335,16 +336,16 @@ export interface FineTuneCreateParams {
    *
    * 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](/docs/guides/legacy-fine-tuning/analyzing-your-fine-tuned-model).
+   * [fine-tuning results file](https://platform.openai.com/docs/guides/legacy-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](/docs/guides/legacy-fine-tuning/creating-training-data) for
-   * more details.
+   * [fine-tuning guide](https://platform.openai.com/docs/guides/legacy-fine-tuning/creating-training-data)
+   * for more details.
    */
   validation_file?: string | null;
 }

src/resources/fine-tuning/jobs.ts

@@ -14,7 +14,7 @@ export class Jobs extends APIResource {
    * 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](/docs/guides/fine-tuning)
+   * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
    */
   create(body: JobCreateParams, options?: Core.RequestOptions): Core.APIPromise<FineTuningJob> {
     return this.post('/fine_tuning/jobs', { body, ...options });
@@ -23,7 +23,7 @@ export class Jobs extends APIResource {
   /**
    * Get info about a fine-tuning job.
    *
-   * [Learn more about fine-tuning](/docs/guides/fine-tuning)
+   * [Learn more about fine-tuning](https://platform.openai.com/docs/guides/fine-tuning)
    */
   retrieve(fineTuningJobId: string, options?: Core.RequestOptions): Core.APIPromise<FineTuningJob> {
     return this.get(`/fine_tuning/jobs/${fineTuningJobId}`, options);
@@ -111,7 +111,8 @@ export interface FineTuningJob {
 
   /**
    * The hyperparameters used for the fine-tuning job. See the
-   * [fine-tuning guide](/docs/guides/fine-tuning) for more details.
+   * [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) for
+   * more details.
    */
   hyperparameters: FineTuningJob.Hyperparameters;
 
@@ -165,7 +166,8 @@ export interface FineTuningJob {
 export namespace FineTuningJob {
   /**
    * The hyperparameters used for the fine-tuning job. See the
-   * [fine-tuning guide](/docs/guides/fine-tuning) for more details.
+   * [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning) for
+   * more details.
    */
   export interface Hyperparameters {
     /**
@@ -193,19 +195,21 @@ export interface FineTuningJobEvent {
 export interface JobCreateParams {
   /**
    * The name of the model to fine-tune. You can select one of the
-   * [supported models](/docs/guides/fine-tuning/what-models-can-be-fine-tuned).
+   * [supported models](https://platform.openai.com/docs/guides/fine-tuning/what-models-can-be-fine-tuned).
    */
   model: (string & {}) | 'babbage-002' | 'davinci-002' | 'gpt-3.5-turbo';
 
   /**
    * The ID of an uploaded file that contains training data.
    *
-   * See [upload file](/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. Additionally, you must upload
    * your file with the purpose `fine-tune`.
    *
-   * See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.
+   * See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
+   * for more details.
    */
   training_file: string;
 
@@ -234,7 +238,8 @@ export interface JobCreateParams {
    * Your dataset must be formatted as a JSONL file. You must upload your file with
    * the purpose `fine-tune`.
    *
-   * See the [fine-tuning guide](/docs/guides/fine-tuning) for more details.
+   * See the [fine-tuning guide](https://platform.openai.com/docs/guides/fine-tuning)
+   * for more details.
    */
   validation_file?: string | null;
 }