plugin-ai-agents: add an await when call track LLM runs

packages/botonic-plugin-ai-agents/CHANGELOG.md

@@ -20,6 +20,10 @@ All notable changes to Botonic will be documented in this file.
 
 </details>
 
+## [0.47.2] - 2026-04-15
+
+- [PR-3199](https://github.com/hubtype/botonic/pull/3199): Fix async calls to track LLM runs.  
+
 ## [0.47.1] - 2026-03-31
 
 - [PR-3196](https://github.com/hubtype/botonic/pull/3196): Disable global sdk tracing.  

packages/botonic-plugin-ai-agents/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@botonic/plugin-ai-agents",
-  "version": "0.47.1",
+  "version": "0.47.2",
   "main": "./lib/cjs/index.js",
   "module": "./lib/esm/index.js",
   "description": "Use AI Agents to generate your contents",

packages/botonic-plugin-ai-agents/src/guardrails/input.ts

@@ -5,8 +5,8 @@ import {
   type UserMessageItem,
 } from '@openai/agents'
 import { z } from 'zod'
-import { AZURE_OPENAI_API_VERSION, isProd, OPENAI_PROVIDER } from '../constants'
-import type { LLMConfig } from '../llm-config'
+import { isProd } from '../constants'
+import { getApiVersion, type LLMConfig } from '../llm-config'
 import { HubtypeApiClient } from '../services/hubtype-api-client'
 import { TrackFeature, TrackProductName } from '../services/types'
 import type { GuardrailRule, ResultRawResponse } from '../types'
@@ -53,7 +53,7 @@ export function createInputGuardrail(
       const result = await runner.run(agent, [lastMessage], { context })
       const endTime = Date.now()
 
-      void sendGuardrailLlmRunTracking(
+      await sendGuardrailLlmRunTracking(
         result,
         trackingContext,
         llmConfig,
@@ -97,7 +97,7 @@ async function sendGuardrailLlmRunTracking(
   const durationPerCall = Math.round(totalDuration / rawResponses.length)
   const temperature =
     (llmConfig.modelSettings.temperature as number | undefined) ?? 0
-  const apiVersion = OPENAI_PROVIDER === 'azure' ? AZURE_OPENAI_API_VERSION : ''
+  const apiVersion = getApiVersion()
 
   const llmRuns = rawResponses.map(response => ({
     inference_id: trackingContext.inferenceId,

packages/botonic-plugin-ai-agents/src/llm-config.ts

@@ -94,3 +94,11 @@ export class LLMConfig {
     throw new Error(`Unsupported model: ${model}`)
   }
 }
+
+export function getApiVersion(): string {
+  // Return NOT_API_VERSION_FOR_OPENAI_PROVIDER if OPENAI_PROVIDER
+  // is not azure to avoid error when tracking in llm_runs endpoint
+  return OPENAI_PROVIDER === 'azure'
+    ? AZURE_OPENAI_API_VERSION
+    : 'NOT_API_VERSION_FOR_OPENAI_PROVIDER'
+}

packages/botonic-plugin-ai-agents/src/runner.ts

@@ -9,9 +9,9 @@ import {
   RunToolCallItem,
   RunToolCallOutputItem,
 } from '@openai/agents'
-import { AZURE_OPENAI_API_VERSION, isProd, OPENAI_PROVIDER } from './constants'
+import { isProd, OPENAI_PROVIDER } from './constants'
 import type { DebugLogger } from './debug-logger'
-import type { LLMConfig } from './llm-config'
+import { getApiVersion, type LLMConfig } from './llm-config'
 import { HubtypeApiClient } from './services/hubtype-api-client'
 import { TrackFeature, TrackProductName } from './services/types'
 import { retrieveKnowledge } from './tools'
@@ -90,7 +90,7 @@ export class AIAgentRunner<
 
       const endTime = Date.now()
 
-      void this.sendLlmRunTracking(result, context, startTime, endTime)
+      await this.sendLlmRunTracking(result, context, startTime, endTime)
 
       const outputMessages = result.finalOutput?.messages || []
       const hasExit =
@@ -158,8 +158,7 @@ export class AIAgentRunner<
     const durationPerCall = Math.round(totalDuration / rawResponses.length)
     const temperature =
       (this.llmConfig.modelSettings.temperature as number | undefined) ?? 0
-    const apiVersion =
-      OPENAI_PROVIDER === 'azure' ? AZURE_OPENAI_API_VERSION : ''
+    const apiVersion = getApiVersion()
 
     const llmRuns = rawResponses.map(response => ({
       inference_id: this.inferenceId,