fix(llms/lmstudio): honor LMSTUDIO_BASE_URL in the LLM too

The embedder fix in this branch left the sibling LLM still hardcoded, so
a self-hosted LM Studio behind a non-default host worked for embeddings
and silently fell back to localhost for generation.

LMStudioConfig baked "http://localhost:1234/v1" into __init__, which
makes any env-var lookup downstream dead code. The field now defaults to
None and LMStudioLLM resolves config value, then LMSTUDIO_BASE_URL, then
the localhost default, matching the embedder and DeepSeek.

mem0/configs/llms/lmstudio.py

@@ -39,6 +39,7 @@ class LMStudioConfig(BaseLlmConfig):
             vision_details: Vision detail level, defaults to "auto"
             http_client_proxies: HTTP client proxy settings, defaults to None
             lmstudio_base_url: LM Studio base URL, defaults to None
+                (resolved by the provider from LMSTUDIO_BASE_URL, then "http://localhost:1234/v1")
             lmstudio_response_format: LM Studio response format, defaults to None
         """
         # Initialize base parameters
@@ -55,5 +56,5 @@ class LMStudioConfig(BaseLlmConfig):
         )
 
         # LM Studio-specific parameters
-        self.lmstudio_base_url = lmstudio_base_url or "http://localhost:1234/v1"
+        self.lmstudio_base_url = lmstudio_base_url
         self.lmstudio_response_format = lmstudio_response_format

mem0/llms/lmstudio.py

@@ -1,4 +1,5 @@
 import json
+import os
 from typing import Dict, List, Optional, Union
 
 from openai import OpenAI
@@ -37,6 +38,9 @@ class LMStudioLLM(LLMBase):
             or "lmstudio-community/Meta-Llama-3.1-70B-Instruct-GGUF/Meta-Llama-3.1-70B-Instruct-IQ2_M.gguf"
         )
         self.config.api_key = self.config.api_key or "lm-studio"
+        self.config.lmstudio_base_url = (
+            self.config.lmstudio_base_url or os.getenv("LMSTUDIO_BASE_URL") or "http://localhost:1234/v1"
+        )
 
         self.client = OpenAI(base_url=self.config.lmstudio_base_url, api_key=self.config.api_key)
 

tests/llms/test_lm_studio.py

@@ -2,6 +2,7 @@ from unittest.mock import Mock, patch
 
 import pytest
 
+from mem0.configs.llms.base import BaseLlmConfig
 from mem0.configs.llms.lmstudio import LMStudioConfig
 from mem0.llms.lmstudio import LMStudioLLM
 
@@ -70,3 +71,40 @@ def test_generate_response_specifying_response_format(mock_lm_studio_client):
     )
 
     assert response == "I'm doing well, thank you for asking!"
+
+
+def test_base_url_honors_lmstudio_base_url_env(monkeypatch):
+    monkeypatch.setenv("LMSTUDIO_BASE_URL", "http://lmstudio.internal:9000/v1")
+
+    with patch("mem0.llms.lmstudio.OpenAI") as mock_openai:
+        LMStudioLLM(LMStudioConfig())
+
+    assert mock_openai.call_args.kwargs["base_url"] == "http://lmstudio.internal:9000/v1"
+
+
+def test_base_url_prefers_explicit_config_over_env(monkeypatch):
+    monkeypatch.setenv("LMSTUDIO_BASE_URL", "http://lmstudio.internal:9000/v1")
+
+    with patch("mem0.llms.lmstudio.OpenAI") as mock_openai:
+        LMStudioLLM(LMStudioConfig(lmstudio_base_url="http://explicit:1234/v1"))
+
+    assert mock_openai.call_args.kwargs["base_url"] == "http://explicit:1234/v1"
+
+
+def test_base_url_falls_back_to_localhost_default(monkeypatch):
+    monkeypatch.delenv("LMSTUDIO_BASE_URL", raising=False)
+
+    with patch("mem0.llms.lmstudio.OpenAI") as mock_openai:
+        llm = LMStudioLLM(LMStudioConfig())
+
+    assert mock_openai.call_args.kwargs["base_url"] == "http://localhost:1234/v1"
+    assert llm.config.lmstudio_base_url == "http://localhost:1234/v1"
+
+
+def test_base_url_honors_env_via_base_llm_config(monkeypatch):
+    monkeypatch.setenv("LMSTUDIO_BASE_URL", "http://lmstudio.internal:9000/v1")
+
+    with patch("mem0.llms.lmstudio.OpenAI") as mock_openai:
+        LMStudioLLM(BaseLlmConfig(model="some-model"))
+
+    assert mock_openai.call_args.kwargs["base_url"] == "http://lmstudio.internal:9000/v1"