Nc/chatgpt (langchain-ai#181)

* Make openai a direct dependency

* Improve streaming test

* Add chatgpt LLM

* Add doc

docs/docs/modules/llms/openai-chat.md

@@ -0,0 +1,29 @@
+# OpenAI Chat
+
+This guide goes through how to use the OpenAI Chat LLM wrapper. This is designed to use the ChatGPT family of models from OpenAI. You can find more information on them [here](https://platform.openai.com/docs/guides/chat).
+
+```typescript
+import { OpenAIChat } from "langchain/llms";
+
+const model = new OpenAIChat({ modelName: "gpt-3.5-turbo" });
+const res = await model.call(
+  "What would be a good company name a company that makes colorful socks?"
+);
+console.log({ res });
+```
+
+## Prefix messages
+
+You can also pass messages that the model should add before your prompt. This is useful for adding context to the model, or past conversation history.
+
+```typescript
+const model = new OpenAIChat({
+  modelName: "gpt-3.5-turbo",
+  prefixMessages: [
+    { role: "user", content: "My name is John" },
+    { role: "assistant", content: "Hi there" },
+  ],
+});
+const res = await model.call("What is my name");
+console.log({ res });
+```

langchain/package.json

@@ -80,7 +80,6 @@
     "husky": "^8.0.3",
     "jest": "^29.4.2",
     "lint-staged": "^13.1.1",
-    "openai": "^3.1.0",
     "prettier": "^2.8.3",
     "serpapi": "^1.1.1",
     "srt-parser-2": "^1.2.2",
@@ -98,7 +97,6 @@
     "cohere-ai": "^5.0.2",
     "hnswlib-node": "^1.3.0",
     "huggingface": "^1.4.0",
-    "openai": "^3.1.0",
     "serpapi": "^1.1.1",
     "srt-parser-2": "^1.2.2"
   },
@@ -121,9 +119,6 @@
     "hnswlib-node": {
       "optional": true
     },
-    "openai": {
-      "optional": true
-    },
     "serpapi": {
       "optional": true
     },
@@ -139,6 +134,7 @@
     "expr-eval": "^2.0.2",
     "gpt-3-encoder": "^1.1.4",
     "jsonpointer": "^5.0.1",
+    "openai": "^3.2.0",
     "p-queue": "^7.3.4",
     "sqlite3": "^5.1.4",
     "unfetch": "^5.0.0",
@@ -222,4 +218,4 @@
       "import": "./document_loaders.js"
     }
   }
-}
+}

langchain/src/embeddings/openai.ts

@@ -1,10 +1,6 @@
-import type {
-  Configuration as ConfigurationT,
-  OpenAIApi as OpenAIApiT,
-  CreateEmbeddingRequest,
-} from "openai";
+import { Configuration, OpenAIApi, CreateEmbeddingRequest } from "openai";
 import { backOff } from "exponential-backoff";
-import type fetchAdapterT from "../util/axios-fetch-adapter.js";
+import fetchAdapter from "../util/axios-fetch-adapter.js";
 import { chunkArray } from "../util/index.js";
 import { Embeddings } from "./base.js";
 
@@ -21,7 +17,7 @@ export class OpenAIEmbeddings extends Embeddings implements ModelParams {
 
   private apiKey: string;
 
-  private client: OpenAIApiT;
+  private client: OpenAIApi;
 
   constructor(
     fields?: Partial<ModelParams> & {
@@ -73,8 +69,6 @@ export class OpenAIEmbeddings extends Embeddings implements ModelParams {
 
   private async embeddingWithRetry(request: CreateEmbeddingRequest) {
     if (!this.client) {
-      const { Configuration, OpenAIApi, fetchAdapter } =
-        await OpenAIEmbeddings.imports();
       const clientConfig = new Configuration({
         apiKey: this.apiKey,
         baseOptions: { adapter: fetchAdapter },
@@ -88,23 +82,4 @@ export class OpenAIEmbeddings extends Embeddings implements ModelParams {
       numOfAttempts: this.maxRetries,
     });
   }
-
-  static async imports(): Promise<{
-    Configuration: typeof ConfigurationT;
-    OpenAIApi: typeof OpenAIApiT;
-    fetchAdapter: typeof fetchAdapterT;
-  }> {
-    try {
-      const { Configuration, OpenAIApi } = await import("openai");
-      const { default: fetchAdapter } = await import(
-        "../util/axios-fetch-adapter.js"
-      );
-      return { Configuration, OpenAIApi, fetchAdapter };
-    } catch (err) {
-      console.error(err);
-      throw new Error(
-        "Please install openai as a dependency with, e.g. `npm install -S openai`"
-      );
-    }
-  }
 }

langchain/src/llms/index.ts

@@ -1,5 +1,6 @@
 export { BaseLLM, LLM, SerializedLLM } from "./base.js";
 export { OpenAI, PromptLayerOpenAI } from "./openai.js";
+export { OpenAIChat } from "./openai-chat.js";
 export { Cohere } from "./cohere.js";
 export { HuggingFaceInference } from "./hf.js";
 export { loadLLM } from "./load.js";