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Add Support for Azure AI #352

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Add Support for Azure AI #352

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61e2860
@langchain/openai
Phiph Oct 18, 2024
c1cec50
add azure
Phiph Oct 18, 2024
e7db6dc
re-add langchain
Phiph Oct 18, 2024
1f51b89
use env vars for config for langchain adapter.
Phiph Oct 18, 2024
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add azure
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@Phiph
Phiph committed Oct 18, 2024
commit c1cec504e96cad281ef3c534adf865dd925f134a
22 changes: 18 additions & 4 deletions packages/code-review-gpt/src/common/model/AIModel.ts
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
import { OpenAIChat } from "langchain/llms/openai";
import { ChatOpenAI, AzureChatOpenAI } from "@langchain/openai";
import { retryAsync } from "ts-retry";

import { IFeedback } from "../types";
Expand All @@ -17,13 +17,13 @@ interface IAIModel {
const defaultRetryCount = 3;

class AIModel {
private model: OpenAIChat;
private model: ChatOpenAI;
private retryCount: number;

constructor(options: IAIModel) {
switch (options.provider) {
case "openai":
this.model = new OpenAIChat({
this.model = new ChatOpenAI({
openAIApiKey: options.apiKey,
modelName: options.modelName,
temperature: options.temperature,
Expand All @@ -32,6 +32,13 @@ class AIModel {
break;
case "bedrock":
throw new Error("Bedrock provider not implemented");
case "azure":
this.model = new AzureChatOpenAI({
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The settings are not set here, as you can use the EnvVars and the package will pick those up by default.

e.g:

OPENAI_API_KEY=
AZURE_OPENAI_API_INSTANCE_NAME="oai-4turbo"
AZURE_OPENAI_API_DEPLOYMENT_NAME="gpt-4-turbo"
AZURE_OPENAI_API_KEY=xxxx
AZURE_OPENAI_API_VERSION="2024-08-01-preview"

openAIApiKey: options.apiKey,
modelName: options.modelName,
temperature: options.temperature,
configuration: { organization: options.organization },
});
default:
throw new Error("Provider not supported");
}
Expand All @@ -40,9 +47,16 @@ class AIModel {
}

public async callModel(prompt: string): Promise<string> {
return this.model.call(prompt);
const messages = [{ role: "user", content: prompt }];
const response = await this.model.invoke(messages);
if (typeof response.content === 'string') {
return response.content;
} else {
throw new Error('Response content is not a string');
}
}


public async callModelJSON(prompt: string): Promise<IFeedback[]> {
return retryAsync(
async () => {
Expand Down