fix: restore lmstudio/deepseek providers in TS factory, add langchain to extras

- Restore LMStudioEmbedder, LMStudioLLM, DeepSeekLLM in TS factory.ts
  (accidentally removed during graph store cleanup — unrelated to graphs)
- Add langchain>=0.1.0 to Python extras dep group (was transitively
  provided by langchain-neo4j in the removed graph group, still needed
  by mem0/llms/langchain.py and mem0/embeddings/langchain.py)
- Add pytest.importorskip("langchain") to test_langchain.py for graceful
  skip when langchain isn't installed

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

mem0-ts/src/oss/src/utils/factory.ts

@@ -1,5 +1,6 @@
 import { OpenAIEmbedder } from "../embeddings/openai";
 import { OllamaEmbedder } from "../embeddings/ollama";
+import { LMStudioEmbedder } from "../embeddings/lmstudio";
 import { OpenAILLM } from "../llms/openai";
 import { OpenAIStructuredLLM } from "../llms/openai_structured";
 import { AnthropicLLM } from "../llms/anthropic";
@@ -19,6 +20,8 @@ import { Qdrant } from "../vector_stores/qdrant";
 import { VectorizeDB } from "../vector_stores/vectorize";
 import { RedisDB } from "../vector_stores/redis";
 import { OllamaLLM } from "../llms/ollama";
+import { LMStudioLLM } from "../llms/lmstudio";
+import { DeepSeekLLM } from "../llms/deepseek";
 import { SupabaseDB } from "../vector_stores/supabase";
 import { SQLiteManager } from "../storage/SQLiteManager";
 import { MemoryHistoryManager } from "../storage/MemoryHistoryManager";
@@ -41,6 +44,8 @@ export class EmbedderFactory {
         return new OpenAIEmbedder(config);
       case "ollama":
         return new OllamaEmbedder(config);
+      case "lmstudio":
+        return new LMStudioEmbedder(config);
       case "google":
       case "gemini":
         return new GoogleEmbedder(config);
@@ -67,6 +72,8 @@ export class LLMFactory {
         return new GroqLLM(config);
       case "ollama":
         return new OllamaLLM(config);
+      case "lmstudio":
+        return new LMStudioLLM(config);
       case "google":
       case "gemini":
         return new GoogleLLM(config);
@@ -76,6 +83,8 @@ export class LLMFactory {
         return new MistralLLM(config);
       case "langchain":
         return new LangchainLLM(config);
+      case "deepseek":
+        return new DeepSeekLLM(config);
       default:
         throw new Error(`Unsupported LLM provider: ${provider}`);
     }

pyproject.toml

@@ -64,6 +64,7 @@ llms = [
 ]
 extras = [
     "boto3>=1.34.0",
+    "langchain>=0.1.0",
     "langchain-community>=0.0.0",
     "sentence-transformers>=5.0.0",
     "elasticsearch>=8.0.0,<9.0.0",

tests/llms/test_langchain.py

@@ -2,6 +2,8 @@ from unittest.mock import Mock
 
 import pytest
 
+pytest.importorskip("langchain", reason="langchain not installed")
+
 from mem0.configs.llms.base import BaseLlmConfig
 from mem0.llms.langchain import LangchainLLM