diff --git a/custom_agent.py b/custom_agent.py
index 75dea47..920d128 100644
--- a/custom_agent.py
+++ b/custom_agent.py
@@ -66,11 +66,11 @@ async def entrypoint(ctx: JobContext) -> None:
     ASR_LANGUAGE = os.getenv("CUSTOM_ASR_LANGUAGE", "auto")
     ASR_OUTPUT_LANGUAGE = os.getenv("CUSTOM_ASR_OUTPUT_LANGUAGE", "zh")
 
-    MINIMAX_BASE_URL = os.getenv("MINIMAX_LLM_BASE_URL", "https://oai.bwgdi.com/v1")
-    MINIMAX_MODEL = os.getenv("MINIMAX_LLM_MODEL", "qwen-max")
-    MINIMAX_API_KEY = os.getenv("MINIMAX_API_KEY")
-    if not MINIMAX_API_KEY:
-        raise RuntimeError(f"MINIMAX_API_KEY is not set in {CUSTOM_ENV_PATH}")
+    LLM_BASE_URL = os.getenv("CUSTOM_LLM_BASE_URL")
+    LLM_MODEL = os.getenv("CUSTOM_LLM_MODEL", "qwen-max")
+    LLM_API_KEY = os.getenv("CUSTOM_LLM_API_KEY")
+    if not LLM_API_KEY:
+        raise RuntimeError(f"CUSTOM_LLM_API_KEY is not set in {CUSTOM_ENV_PATH}")
 
     TTS_URL = os.getenv("CUSTOM_TTS_URL") or os.getenv(
         "VOXCPM_TTS_URL", "http://localhost:5050/tts-blackbox"
@@ -94,22 +94,27 @@ async def entrypoint(ctx: JobContext) -> None:
     import httpx
     from openai import AsyncClient as OpenAIAsyncClient
 
-    # Create a custom HTTP client that disables SSL verification
-    http_client = httpx.AsyncClient(verify=False)
+    # OpenAI-compatible endpoints can be used by setting CUSTOM_LLM_BASE_URL.
+    http_client = httpx.AsyncClient(verify=_env_bool("CUSTOM_LLM_VERIFY_SSL", False))
 
-    # Create the OpenAI AsyncClient with the custom HTTP client
-    openai_client = OpenAIAsyncClient(
-        api_key=MINIMAX_API_KEY,
-        base_url=MINIMAX_BASE_URL,
-        http_client=http_client,
-    )
+    if LLM_BASE_URL:
+        openai_client = OpenAIAsyncClient(
+            api_key=LLM_API_KEY,
+            base_url=LLM_BASE_URL,
+            http_client=http_client,
+        )
+    else:
+        openai_client = OpenAIAsyncClient(
+            api_key=LLM_API_KEY,
+            http_client=http_client,
+        )
 
     session: AgentSession = AgentSession(
         # 1. Custom ASR blackbox with StreamAdapter
         stt=stt_stream,
-        # 2. Minimax LLM - Using OpenAI plugin with local base_url
+        # 2. OpenAI-compatible LLM, e.g. MiniMax, Qwen, or OpenAI.
         llm=openai.LLM(
-            model=MINIMAX_MODEL,
+            model=LLM_MODEL,
             client=openai_client,
         ),
         # 3. TTS blackbox