feat(api): add vector stores

.stats.yml

@@ -1 +1 @@
-configured_endpoints: 55
+configured_endpoints: 62

README.md

@@ -102,7 +102,7 @@ Documentation for each method, request param, and response field are available i
 
 ### Polling Helpers
 
-When interacting with the API some actions such as starting a Run may take time to complete. The SDK includes
+When interacting with the API some actions such as starting a Run and adding files to vector stores are asynchronous and take time to complete. The SDK includes
 helper functions which will poll the status until it reaches a terminal state and then return the resulting object.
 If an API method results in an action which could benefit from polling there will be a corresponding version of the
 method ending in 'AndPoll'.
@@ -117,6 +117,20 @@ const run = await openai.beta.threads.runs.createAndPoll(thread.id, {
 
 More information on the lifecycle of a Run can be found in the [Run Lifecycle Documentation](https://platform.openai.com/docs/assistants/how-it-works/run-lifecycle)
 
+### Bulk Upload Helpers
+
+When creating an interacting with vector stores, you can use the polling helpers to monitor the status of operations.
+For convenience, we also provide a bulk upload helper to allow you to simultaneously upload several files at once.
+
+```ts
+const fileList = [
+  createReadStream('/home/data/example.pdf'),
+  ...
+];
+
+const batch = await openai.vectorStores.fileBatches.uploadAndPoll(vectorStore.id, fileList);
+```
+
 ### Streaming Helpers
 
 The SDK also includes helpers to process streams and handle the incoming events.

helpers.md

@@ -1,4 +1,4 @@
-# Streaming Helpers
+# Helpers
 
 OpenAI supports streaming responses when interacting with the [Chat](#chat-streaming) or [Assistant](#assistant-streaming-api) APIs.
 
@@ -449,3 +449,24 @@ See an example of a Next.JS integration here [`examples/stream-to-client-next.ts
 #### Proxy Streaming to a Browser
 
 See an example of using express to stream to a browser here [`examples/stream-to-client-express.ts`](examples/stream-to-client-express.ts).
+
+# Polling Helpers
+
+When interacting with the API some actions such as starting a Run and adding files to vector stores are asynchronous and take time to complete.
+The SDK includes helper functions which will poll the status until it reaches a terminal state and then return the resulting object.
+If an API method results in an action which could benefit from polling there will be a corresponding version of the
+method ending in `_AndPoll`.
+
+All methods also allow you to set the polling frequency, how often the API is checked for an update, via a function argument (`pollIntervalMs`).
+
+The polling methods are:
+
+```ts
+client.beta.threads.createAndRunPoll(...)
+client.beta.threads.runs.createAndPoll((...)
+client.beta.threads.runs.submitToolOutputsAndPoll((...)
+client.beta.vectorStores.files.uploadAndPoll((...)
+client.beta.vectorStores.files.createAndPoll((...)
+client.beta.vectorStores.fileBatches.createAndPoll((...)
+client.beta.vectorStores.fileBatches.uploadAndPoll((...)
+```

src/lib/AssistantStream.ts

@@ -7,7 +7,7 @@ import {
   ImageFile,
   TextDelta,
   Messages,
-} from 'openai/resources/beta/threads/messages/messages';
+} from 'openai/resources/beta/threads/messages';
 import * as Core from 'openai/core';
 import { RequestOptions } from 'openai/core';
 import {
@@ -30,7 +30,7 @@ import {
   MessageStreamEvent,
   RunStepStreamEvent,
   RunStreamEvent,
-} from 'openai/resources/beta/assistants/assistants';
+} from 'openai/resources/beta/assistants';
 import { RunStep, RunStepDelta, ToolCall, ToolCallDelta } from 'openai/resources/beta/threads/runs/steps';
 import { ThreadCreateAndRunParamsBase, Threads } from 'openai/resources/beta/threads/threads';
 import MessageDelta = Messages.MessageDelta;

src/lib/Util.ts

@@ -0,0 +1,23 @@
+/**
+ * Like `Promise.allSettled()` but throws an error if any promises are rejected.
+ */
+export const allSettledWithThrow = async <R>(promises: Promise<R>[]): Promise<R[]> => {
+  const results = await Promise.allSettled(promises);
+  const rejected = results.filter((result): result is PromiseRejectedResult => result.status === 'rejected');
+  if (rejected.length) {
+    for (const result of rejected) {
+      console.error(result.reason);
+    }
+
+    throw new Error(`${rejected.length} promise(s) failed - see the above errors`);
+  }
+
+  // Note: TS was complaining about using `.filter().map()` here for some reason
+  const values: R[] = [];
+  for (const result of results) {
+    if (result.status === 'fulfilled') {
+      values.push(result.value);
+    }
+  }
+  return values;
+};