Replace @azure/openai with openai, and update openai to version 4.95.1 (#3691)
* Replace @azure/openai to OpenAI lib * Remove @azure/openai dependency and update openai to version 4.95.1 * linting * update logging fix translation dictionary error * remove bad ENV key that DNE linting Patch Azure OpenAI Migrate Azure Agent provider to use OpenAI Schema for tool calling performance * unset * migrate azure to use default OAI stream handler --------- Co-authored-by: Timothy Carambat <rambat1010@gmail.com>
This commit is contained in:
Shinya Suzuki
GitHub
parent
edaddd41ff
commit
cd900f9e4c
@ -235,7 +235,7 @@ function WorkspaceDirectory({
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}`}
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</p>
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<p className="mt-2 text-xs italic" hidden={embeddingCosts === 0}>
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{t("new-workspace.costs")}
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{t("connectors.directory.costs")}
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</p>
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</div>
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@ -117,7 +117,7 @@
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--theme-chat-input-border: #cccccc;
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--theme-action-menu-bg: #eaeaea;
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--theme-action-menu-item-hover: rgba(0, 0, 0, 0.1);
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--theme-settings-input-bg: #EDF2FA;
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--theme-settings-input-bg: #edf2fa;
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--theme-settings-input-placeholder: rgba(0, 0, 0, 0.5);
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--theme-settings-input-active: rgb(0 0 0 / 0.2);
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--theme-settings-input-text: #0e0f0f;
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@ -21,7 +21,6 @@
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"dependencies": {
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"@anthropic-ai/sdk": "^0.39.0",
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"@aws-sdk/client-bedrock-runtime": "^3.775.0",
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"@azure/openai": "1.0.0-beta.10",
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"@datastax/astra-db-ts": "^0.1.3",
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"@google/generative-ai": "^0.7.1",
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"@ladjs/graceful": "^3.2.2",
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@ -67,7 +66,7 @@
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"multer": "^1.4.5-lts.1",
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"mysql2": "^3.9.8",
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"ollama": "^0.5.10",
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"openai": "4.38.5",
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"openai": "4.95.1",
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"pg": "^8.11.5",
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"pinecone-client": "^1.1.0",
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"pluralize": "^8.0.0",
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@ -1,29 +1,26 @@
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const { NativeEmbedder } = require("../../EmbeddingEngines/native");
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const {
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formatChatHistory,
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handleDefaultStreamResponseV2,
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} = require("../../helpers/chat/responses");
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const {
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LLMPerformanceMonitor,
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} = require("../../helpers/chat/LLMPerformanceMonitor");
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const {
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writeResponseChunk,
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clientAbortedHandler,
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formatChatHistory,
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} = require("../../helpers/chat/responses");
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class AzureOpenAiLLM {
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constructor(embedder = null, modelPreference = null) {
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const { OpenAIClient, AzureKeyCredential } = require("@azure/openai");
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const { AzureOpenAI } = require("openai");
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if (!process.env.AZURE_OPENAI_ENDPOINT)
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throw new Error("No Azure API endpoint was set.");
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if (!process.env.AZURE_OPENAI_KEY)
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throw new Error("No Azure API key was set.");
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this.apiVersion = "2024-12-01-preview";
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this.openai = new OpenAIClient(
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process.env.AZURE_OPENAI_ENDPOINT,
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new AzureKeyCredential(process.env.AZURE_OPENAI_KEY),
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{
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apiVersion: this.apiVersion,
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}
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);
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this.openai = new AzureOpenAI({
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apiKey: process.env.AZURE_OPENAI_KEY,
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apiVersion: this.apiVersion,
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endpoint: process.env.AZURE_OPENAI_ENDPOINT,
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});
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this.model = modelPreference ?? process.env.OPEN_MODEL_PREF;
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this.isOTypeModel =
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process.env.AZURE_OPENAI_MODEL_TYPE === "reasoning" || false;
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@ -139,7 +136,9 @@ class AzureOpenAiLLM {
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);
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const result = await LLMPerformanceMonitor.measureAsyncFunction(
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this.openai.getChatCompletions(this.model, messages, {
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this.openai.chat.completions.create({
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messages,
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model: this.model,
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...(this.isOTypeModel ? {} : { temperature }),
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})
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);
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@ -153,10 +152,10 @@ class AzureOpenAiLLM {
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return {
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textResponse: result.output.choices[0].message.content,
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metrics: {
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prompt_tokens: result.output.usage.promptTokens || 0,
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completion_tokens: result.output.usage.completionTokens || 0,
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total_tokens: result.output.usage.totalTokens || 0,
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outputTps: result.output.usage.completionTokens / result.duration,
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prompt_tokens: result.output.usage.prompt_tokens || 0,
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completion_tokens: result.output.usage.completion_tokens || 0,
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total_tokens: result.output.usage.total_tokens || 0,
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outputTps: result.output.usage.completion_tokens / result.duration,
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duration: result.duration,
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},
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};
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@ -169,9 +168,12 @@ class AzureOpenAiLLM {
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);
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const measuredStreamRequest = await LLMPerformanceMonitor.measureStream(
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await this.openai.streamChatCompletions(this.model, messages, {
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await this.openai.chat.completions.create({
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messages,
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model: this.model,
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...(this.isOTypeModel ? {} : { temperature }),
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n: 1,
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stream: true,
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}),
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messages
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);
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@ -179,64 +181,8 @@ class AzureOpenAiLLM {
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return measuredStreamRequest;
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}
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/**
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* Handles the stream response from the AzureOpenAI API.
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* Azure does not return the usage metrics in the stream response, but 1msg = 1token
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* so we can estimate the completion tokens by counting the number of messages.
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* @param {Object} response - the response object
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* @param {import('../../helpers/chat/LLMPerformanceMonitor').MonitoredStream} stream - the stream response from the AzureOpenAI API w/tracking
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* @param {Object} responseProps - the response properties
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* @returns {Promise<string>}
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*/
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handleStream(response, stream, responseProps) {
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const { uuid = uuidv4(), sources = [] } = responseProps;
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return new Promise(async (resolve) => {
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let fullText = "";
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let usage = {
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completion_tokens: 0,
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};
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// Establish listener to early-abort a streaming response
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// in case things go sideways or the user does not like the response.
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// We preserve the generated text but continue as if chat was completed
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// to preserve previously generated content.
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const handleAbort = () => {
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stream?.endMeasurement(usage);
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clientAbortedHandler(resolve, fullText);
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};
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response.on("close", handleAbort);
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for await (const event of stream) {
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for (const choice of event.choices) {
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const delta = choice.delta?.content;
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if (!delta) continue;
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fullText += delta;
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usage.completion_tokens++;
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writeResponseChunk(response, {
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uuid,
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sources: [],
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type: "textResponseChunk",
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textResponse: delta,
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close: false,
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error: false,
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});
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}
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}
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writeResponseChunk(response, {
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uuid,
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sources,
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type: "textResponseChunk",
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textResponse: "",
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close: true,
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error: false,
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});
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response.removeListener("close", handleAbort);
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stream?.endMeasurement(usage);
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resolve(fullText);
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});
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return handleDefaultStreamResponseV2(response, stream, responseProps);
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}
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// Simple wrapper for dynamic embedder & normalize interface for all LLM implementations
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@ -183,6 +183,7 @@ class OpenAiLLM {
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messages
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// runPromptTokenCalculation: true - We manually count the tokens because OpenAI does not provide them in the stream
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// since we are not using the OpenAI API version that supports this `stream_options` param.
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// TODO: implement this once we upgrade to the OpenAI API version that supports this param.
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);
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return measuredStreamRequest;
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@ -2,16 +2,22 @@ const { toChunks } = require("../../helpers");
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class AzureOpenAiEmbedder {
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constructor() {
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const { OpenAIClient, AzureKeyCredential } = require("@azure/openai");
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const { AzureOpenAI } = require("openai");
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if (!process.env.AZURE_OPENAI_ENDPOINT)
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throw new Error("No Azure API endpoint was set.");
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if (!process.env.AZURE_OPENAI_KEY)
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throw new Error("No Azure API key was set.");
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const openai = new OpenAIClient(
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process.env.AZURE_OPENAI_ENDPOINT,
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new AzureKeyCredential(process.env.AZURE_OPENAI_KEY)
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);
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this.apiVersion = "2024-12-01-preview";
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const openai = new AzureOpenAI({
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apiKey: process.env.AZURE_OPENAI_KEY,
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endpoint: process.env.AZURE_OPENAI_ENDPOINT,
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apiVersion: this.apiVersion,
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});
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// We cannot assume the model fallback since the model is based on the deployment name
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// and not the model name - so this will throw on embedding if the model is not defined.
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this.model = process.env.EMBEDDING_MODEL_PREF;
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this.openai = openai;
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// Limit of how many strings we can process in a single pass to stay with resource or network limits
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@ -22,6 +28,10 @@ class AzureOpenAiEmbedder {
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this.embeddingMaxChunkLength = 2048;
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}
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log(text, ...args) {
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console.log(`\x1b[36m[AzureOpenAiEmbedder]\x1b[0m ${text}`, ...args);
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}
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async embedTextInput(textInput) {
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const result = await this.embedChunks(
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Array.isArray(textInput) ? textInput : [textInput]
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@ -30,13 +40,9 @@ class AzureOpenAiEmbedder {
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}
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async embedChunks(textChunks = []) {
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const textEmbeddingModel =
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process.env.EMBEDDING_MODEL_PREF || "text-embedding-ada-002";
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if (!textEmbeddingModel)
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throw new Error(
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"No EMBEDDING_MODEL_PREF ENV defined. This must the name of a deployment on your Azure account for an embedding model."
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);
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if (!this.model) throw new Error("No Embedding Model preference defined.");
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this.log(`Embedding ${textChunks.length} chunks...`);
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// Because there is a limit on how many chunks can be sent at once to Azure OpenAI
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// we concurrently execute each max batch of text chunks possible.
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// Refer to constructor maxConcurrentChunks for more info.
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@ -44,8 +50,11 @@ class AzureOpenAiEmbedder {
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for (const chunk of toChunks(textChunks, this.maxConcurrentChunks)) {
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embeddingRequests.push(
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new Promise((resolve) => {
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this.openai
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.getEmbeddings(textEmbeddingModel, chunk)
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this.openai.embeddings
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.create({
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model: this.model,
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input: chunk,
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})
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.then((res) => {
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resolve({ data: res.data, error: null });
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})
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@ -16,6 +16,10 @@ class OpenAiEmbedder {
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this.embeddingMaxChunkLength = 8_191;
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}
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log(text, ...args) {
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console.log(`\x1b[36m[OpenAiEmbedder]\x1b[0m ${text}`, ...args);
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}
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async embedTextInput(textInput) {
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const result = await this.embedChunks(
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Array.isArray(textInput) ? textInput : [textInput]
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@ -24,6 +28,8 @@ class OpenAiEmbedder {
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}
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async embedChunks(textChunks = []) {
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this.log(`Embedding ${textChunks.length} chunks...`);
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// Because there is a hard POST limit on how many chunks can be sent at once to OpenAI (~8mb)
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// we concurrently execute each max batch of text chunks possible.
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// Refer to constructor maxConcurrentChunks for more info.
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@ -1,96 +1,94 @@
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const { OpenAIClient, AzureKeyCredential } = require("@azure/openai");
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const { AzureOpenAI } = require("openai");
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const Provider = require("./ai-provider.js");
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const InheritMultiple = require("./helpers/classes.js");
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const UnTooled = require("./helpers/untooled.js");
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const { RetryError } = require("../error.js");
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/**
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* The agent provider for the Azure OpenAI API.
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*/
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class AzureOpenAiProvider extends InheritMultiple([Provider, UnTooled]) {
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class AzureOpenAiProvider extends Provider {
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model;
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constructor(_config = {}) {
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super();
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const client = new OpenAIClient(
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process.env.AZURE_OPENAI_ENDPOINT,
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new AzureKeyCredential(process.env.AZURE_OPENAI_KEY)
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);
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this._client = client;
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this.model = process.env.OPEN_MODEL_PREF ?? "gpt-3.5-turbo";
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constructor(config = { model: null }) {
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const client = new AzureOpenAI({
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apiKey: process.env.AZURE_OPENAI_KEY,
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endpoint: process.env.AZURE_OPENAI_ENDPOINT,
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apiVersion: "2024-12-01-preview",
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});
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super(client);
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this.model = config.model ?? process.env.OPEN_MODEL_PREF;
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this.verbose = true;
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}
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get client() {
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return this._client;
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}
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async #handleFunctionCallChat({ messages = [] }) {
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return await this.client
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.getChatCompletions(this.model, messages, {
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temperature: 0,
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})
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.then((result) => {
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if (!result.hasOwnProperty("choices"))
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throw new Error("Azure OpenAI chat: No results!");
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if (result.choices.length === 0)
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throw new Error("Azure OpenAI chat: No results length!");
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return result.choices[0].message.content;
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})
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.catch((_) => {
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return null;
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});
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}
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/**
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* Create a completion based on the received messages.
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*
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* @param messages A list of messages to send to the API.
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* @param messages A list of messages to send to the OpenAI API.
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* @param functions
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* @returns The completion.
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*/
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async complete(messages, functions = []) {
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try {
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let completion;
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if (functions.length > 0) {
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const { toolCall, text } = await this.functionCall(
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messages,
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functions,
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this.#handleFunctionCallChat.bind(this)
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);
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if (toolCall !== null) {
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this.providerLog(`Valid tool call found - running ${toolCall.name}.`);
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this.deduplicator.trackRun(toolCall.name, toolCall.arguments);
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return {
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result: null,
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functionCall: {
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name: toolCall.name,
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arguments: toolCall.arguments,
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},
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cost: 0,
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};
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const response = await this.client.chat.completions.create({
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model: this.model,
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// stream: true,
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messages,
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...(Array.isArray(functions) && functions?.length > 0
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? { functions }
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: {}),
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});
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// Right now, we only support one completion,
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// so we just take the first one in the list
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const completion = response.choices[0].message;
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const cost = this.getCost(response.usage);
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// treat function calls
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if (completion.function_call) {
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let functionArgs = {};
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try {
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functionArgs = JSON.parse(completion.function_call.arguments);
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} catch (error) {
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// call the complete function again in case it gets a json error
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return this.complete(
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[
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...messages,
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{
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role: "function",
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name: completion.function_call.name,
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function_call: completion.function_call,
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content: error?.message,
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},
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],
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functions
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);
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}
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completion = { content: text };
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}
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if (!completion?.content) {
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this.providerLog(
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"Will assume chat completion without tool call inputs."
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);
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const response = await this.client.getChatCompletions(
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this.model,
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this.cleanMsgs(messages),
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{
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temperature: 0.7,
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}
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);
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completion = response.choices[0].message;
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// console.log(completion, { functionArgs })
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return {
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result: null,
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functionCall: {
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name: completion.function_call.name,
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arguments: functionArgs,
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},
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cost,
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};
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}
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// The UnTooled class inherited Deduplicator is mostly useful to prevent the agent
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// from calling the exact same function over and over in a loop within a single chat exchange
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// _but_ we should enable it to call previously used tools in a new chat interaction.
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this.deduplicator.reset("runs");
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return { result: completion.content, cost: 0 };
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return {
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result: completion.content,
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cost,
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};
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} catch (error) {
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// If invalid Auth error we need to abort because no amount of waiting
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// will make auth better.
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if (error instanceof AzureOpenAI.AuthenticationError) throw error;
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if (
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error instanceof AzureOpenAI.RateLimitError ||
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error instanceof AzureOpenAI.InternalServerError ||
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error instanceof AzureOpenAI.APIError // Also will catch AuthenticationError!!!
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) {
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throw new RetryError(error.message);
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}
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throw error;
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||||
}
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||||
}
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@ -221,7 +221,7 @@ class AgentHandler {
|
||||
"mistralai/Mixtral-8x7B-Instruct-v0.1"
|
||||
);
|
||||
case "azure":
|
||||
return null;
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||||
return process.env.OPEN_MODEL_PREF;
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||||
case "koboldcpp":
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||||
return process.env.KOBOLD_CPP_MODEL_PREF ?? null;
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||||
case "localai":
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@ -961,18 +961,6 @@
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||||
"@smithy/types" "^4.2.0"
|
||||
tslib "^2.6.2"
|
||||
|
||||
"@azure-rest/core-client@^1.1.7":
|
||||
version "1.4.0"
|
||||
resolved "https://registry.npmjs.org/@azure-rest/core-client/-/core-client-1.4.0.tgz"
|
||||
integrity sha512-ozTDPBVUDR5eOnMIwhggbnVmOrka4fXCs8n8mvUo4WLLc38kki6bAOByDoVZZPz/pZy2jMt2kwfpvy/UjALj6w==
|
||||
dependencies:
|
||||
"@azure/abort-controller" "^2.0.0"
|
||||
"@azure/core-auth" "^1.3.0"
|
||||
"@azure/core-rest-pipeline" "^1.5.0"
|
||||
"@azure/core-tracing" "^1.0.1"
|
||||
"@azure/core-util" "^1.0.0"
|
||||
tslib "^2.6.2"
|
||||
|
||||
"@azure/abort-controller@^1.0.0":
|
||||
version "1.1.0"
|
||||
resolved "https://registry.npmjs.org/@azure/abort-controller/-/abort-controller-1.1.0.tgz"
|
||||
@ -1049,27 +1037,6 @@
|
||||
https-proxy-agent "^7.0.0"
|
||||
tslib "^2.6.2"
|
||||
|
||||
"@azure/core-rest-pipeline@^1.13.0", "@azure/core-rest-pipeline@^1.5.0":
|
||||
version "1.15.2"
|
||||
resolved "https://registry.npmjs.org/@azure/core-rest-pipeline/-/core-rest-pipeline-1.15.2.tgz"
|
||||
integrity sha512-BmWfpjc/QXc2ipHOh6LbUzp3ONCaa6xzIssTU0DwH9bbYNXJlGUL6tujx5TrbVd/QQknmS+vlQJGrCq2oL1gZA==
|
||||
dependencies:
|
||||
"@azure/abort-controller" "^2.0.0"
|
||||
"@azure/core-auth" "^1.4.0"
|
||||
"@azure/core-tracing" "^1.0.1"
|
||||
"@azure/core-util" "^1.3.0"
|
||||
"@azure/logger" "^1.0.0"
|
||||
http-proxy-agent "^7.0.0"
|
||||
https-proxy-agent "^7.0.0"
|
||||
tslib "^2.6.2"
|
||||
|
||||
"@azure/core-sse@^2.0.0":
|
||||
version "2.1.2"
|
||||
resolved "https://registry.npmjs.org/@azure/core-sse/-/core-sse-2.1.2.tgz"
|
||||
integrity sha512-yf+pFIu8yCzXu9RbH2+8kp9vITIKJLHgkLgFNA6hxiDHK3fxeP596cHUj4c8Cm8JlooaUnYdHmF84KCZt3jbmw==
|
||||
dependencies:
|
||||
tslib "^2.6.2"
|
||||
|
||||
"@azure/core-tracing@^1.0.0", "@azure/core-tracing@^1.0.1":
|
||||
version "1.1.2"
|
||||
resolved "https://registry.npmjs.org/@azure/core-tracing/-/core-tracing-1.1.2.tgz"
|
||||
@ -1077,7 +1044,7 @@
|
||||
dependencies:
|
||||
tslib "^2.6.2"
|
||||
|
||||
"@azure/core-util@^1.0.0", "@azure/core-util@^1.1.0", "@azure/core-util@^1.2.0", "@azure/core-util@^1.3.0", "@azure/core-util@^1.4.0", "@azure/core-util@^1.6.1", "@azure/core-util@^1.9.0":
|
||||
"@azure/core-util@^1.0.0", "@azure/core-util@^1.1.0", "@azure/core-util@^1.2.0", "@azure/core-util@^1.6.1", "@azure/core-util@^1.9.0":
|
||||
version "1.9.0"
|
||||
resolved "https://registry.npmjs.org/@azure/core-util/-/core-util-1.9.0.tgz"
|
||||
integrity sha512-AfalUQ1ZppaKuxPPMsFEUdX6GZPB3d9paR9d/TTL7Ow2De8cJaC7ibi7kWVlFAVPCYo31OcnGymc0R89DX8Oaw==
|
||||
@ -1122,7 +1089,7 @@
|
||||
"@azure/logger" "^1.0.0"
|
||||
tslib "^2.2.0"
|
||||
|
||||
"@azure/logger@^1.0.0", "@azure/logger@^1.0.3":
|
||||
"@azure/logger@^1.0.0":
|
||||
version "1.1.2"
|
||||
resolved "https://registry.npmjs.org/@azure/logger/-/logger-1.1.2.tgz"
|
||||
integrity sha512-l170uE7bsKpIU6B/giRc9i4NI0Mj+tANMMMxf7Zi/5cKzEqPayP7+X1WPrG7e+91JgY8N+7K7nF2WOi7iVhXvg==
|
||||
@ -1150,19 +1117,6 @@
|
||||
jsonwebtoken "^9.0.0"
|
||||
uuid "^8.3.0"
|
||||
|
||||
"@azure/openai@1.0.0-beta.10":
|
||||
version "1.0.0-beta.10"
|
||||
resolved "https://registry.npmjs.org/@azure/openai/-/openai-1.0.0-beta.10.tgz"
|
||||
integrity sha512-6kixZSMOI5jk9TBwgXrVo5fKUPUudOXxjwCJvAGaQN6NT1Tp3IMrjGou+2iP9iX7GwND9lptxfvafHtK7RX/VA==
|
||||
dependencies:
|
||||
"@azure-rest/core-client" "^1.1.7"
|
||||
"@azure/core-auth" "^1.4.0"
|
||||
"@azure/core-rest-pipeline" "^1.13.0"
|
||||
"@azure/core-sse" "^2.0.0"
|
||||
"@azure/core-util" "^1.4.0"
|
||||
"@azure/logger" "^1.0.3"
|
||||
tslib "^2.4.0"
|
||||
|
||||
"@babel/runtime@^7.10.5":
|
||||
version "7.24.7"
|
||||
resolved "https://registry.npmjs.org/@babel/runtime/-/runtime-7.24.7.tgz"
|
||||
@ -6410,7 +6364,20 @@ open@^8.0.0:
|
||||
is-docker "^2.1.1"
|
||||
is-wsl "^2.2.0"
|
||||
|
||||
openai@4.38.5, openai@^4.0.0:
|
||||
openai@4.95.1:
|
||||
version "4.95.1"
|
||||
resolved "https://registry.yarnpkg.com/openai/-/openai-4.95.1.tgz#7157697c2b150a546b13eb860180c4a6058051da"
|
||||
integrity sha512-IqJy+ymeW+k/Wq+2YVN3693OQMMcODRtHEYOlz263MdUwnN/Dwdl9c2EXSxLLtGEHkSHAfvzpDMHI5MaWJKXjQ==
|
||||
dependencies:
|
||||
"@types/node" "^18.11.18"
|
||||
"@types/node-fetch" "^2.6.4"
|
||||
abort-controller "^3.0.0"
|
||||
agentkeepalive "^4.2.1"
|
||||
form-data-encoder "1.7.2"
|
||||
formdata-node "^4.3.2"
|
||||
node-fetch "^2.6.7"
|
||||
|
||||
openai@^4.0.0:
|
||||
version "4.38.5"
|
||||
resolved "https://registry.npmjs.org/openai/-/openai-4.38.5.tgz"
|
||||
integrity sha512-Ym5GJL98ZhLJJ7enBx53jjG3vwN/fsB+Ozh46nnRZZS9W1NiYqbwkJ+sXd3dkCIiWIgcyyOPL2Zr8SQAzbpj3g==
|
||||
@ -7697,7 +7664,7 @@ truncate@^3.0.0:
|
||||
resolved "https://registry.npmjs.org/truncate/-/truncate-3.0.0.tgz"
|
||||
integrity sha512-C+0Xojw7wZPl6MDq5UjMTuxZvBPK04mtdFet7k+GSZPINcvLZFCXg+15kWIL4wAqDB7CksIsKiRLbQ1wa7rKdw==
|
||||
|
||||
tslib@^2.2.0, tslib@^2.4.0, tslib@^2.6.2:
|
||||
tslib@^2.2.0, tslib@^2.6.2:
|
||||
version "2.6.2"
|
||||
resolved "https://registry.npmjs.org/tslib/-/tslib-2.6.2.tgz"
|
||||
integrity sha512-AEYxH93jGFPn/a2iVAwW87VuUIkR1FVUKB77NwMF7nBTDkDrrT/Hpt/IrCJ0QXhW27jTBDcf5ZY7w6RiqTMw2Q==
|
||||
|
||||
Loading…
Reference in New Issue
Block a user