feat: update dependencies to latest major versions (v2.13.0) (#55)

Update all LangChain and transformers ecosystem dependencies to their
latest major versions with Python 3.10+ support.

## Breaking Changes
- Minimum Python version: 3.9 → 3.10

## LangChain Updates (to v1.x/v3.x/v4.x)
- langchain: 0.3.8 → 1.2.0
- langchain-core: 0.3.29 → 1.2.6
- langchain-openai: 0.2.9 → 1.1.6
- langchain-anthropic: 0.3.0 → 1.3.0
- langchain-google-genai: 2.1.2 → 4.1.2
- langchain-ollama: 0.2.0 → 1.0.1
- langchain-groq: 0.2.1 → 1.1.1
- langchain-mistralai: 0.2.1 → 1.1.1
- langchain-deepseek: 0.1.3 → 1.0.1
- langchain-google-vertexai: 2.0.24 → 3.2.0

## Transformers Ecosystem Updates
- transformers: 4.40.0 → 4.57.3
- torch: 2.2.2 → 2.9.1
- tokenizers: 0.15.2 → 0.22.1
- sentence-transformers: 2.2.0 → 5.2.0
- scikit-learn: 1.3.0 → 1.7.2
- numpy: 1.21.0 → 2.2.6
- accelerate: 1.8.1 → 1.12.0

## Code Changes
- Updated LangChain imports from deprecated paths
  (langchain.schema → langchain_core.documents)
- Added google_api_key parameter to Google LangChain conversion
  (required by langchain-google-genai 4.x)
- Updated tests to match new LangChain behavior

## Test Results
✅ 642 passed, 1 skipped, 0 failures

Author: lfnovo

pyproject.toml

@@ -1,12 +1,12 @@
 [project]
 name = "esperanto"
-version = "2.12.1"
+version = "2.13.0"
 description = "A light-weight, production-ready, unified interface for various AI model providers"
 authors = [
     { name = "LUIS NOVO", email = "lfnovo@gmail.com" }
 ]
 readme = "README.md"
-requires-python = ">=3.9,<3.14"
+requires-python = ">=3.10,<3.14"
 license = { text = "MIT" }
 keywords = ["ai", "llm", "text-to-speech", "speech-to-text", "openai", "anthropic", "deepseek", "google", "openrouter", "groq", "x.ai", "gemini", "mistral", "transformers",  "elevenlabs"]
 urls.repository = "https://github.com/lfnovo/esperanto"
@@ -20,14 +20,14 @@ dependencies = [
 
 [project.optional-dependencies]
 transformers = [
-    "transformers>=4.40.0",
-    "torch>=2.2.2",
-    "tokenizers>=0.15.2",
-    "sentence-transformers>=2.2.0",
-    "scikit-learn>=1.3.0",
-    "numpy>=1.21.0",
+    "transformers>=4.57.3,<5.0.0",
+    "torch>=2.9.1,<3.0.0",
+    "tokenizers>=0.22.1,<1.0.0",
+    "sentence-transformers>=5.2.0,<6.0.0",
+    "scikit-learn>=1.7.2,<2.0.0",
+    "numpy>=2.2.6,<3.0.0",
     "einops>=0.8.1",
-    "accelerate>=1.8.1"
+    "accelerate>=1.12.0,<2.0.0"
 ]
 
 
@@ -73,14 +73,14 @@ dev = [
     "types-requests>=2.32.0.20241016",
     "build",
     "twine",
-    "langchain>=0.3.8,<0.4.0",
-    "langchain-core>=0.3.29,<0.4.0",
-    "langchain-openai>=0.2.9",
-    "langchain-anthropic>=0.3.0",
-    "langchain-google-genai>=2.1.2",
-    "langchain-ollama>=0.2.0",
-    "langchain-groq>=0.2.1",
-    "langchain_mistralai>=0.2.1",
-    "langchain_deepseek>=0.1.3",
-    "langchain-google-vertexai>=2.0.24",
+    "langchain>=1.2.0,<2.0.0",
+    "langchain-core>=1.2.6,<2.0.0",
+    "langchain-openai>=1.1.6,<2.0.0",
+    "langchain-anthropic>=1.3.0,<2.0.0",
+    "langchain-google-genai>=4.1.2,<5.0.0",
+    "langchain-ollama>=1.0.1,<2.0.0",
+    "langchain-groq>=1.1.1,<2.0.0",
+    "langchain_mistralai>=1.1.1,<2.0.0",
+    "langchain_deepseek>=1.0.1,<2.0.0",
+    "langchain-google-vertexai>=3.2.0,<4.0.0",
 ]

src/esperanto/providers/llm/google.py

@@ -142,7 +142,7 @@ def to_langchain(self):
                 temperature=self.temperature,
                 max_tokens=self.max_tokens,
                 top_p=self.top_p,
-                # Removed streaming and google_api_key as they cause errors
+                google_api_key=self.api_key,
             )
         return self._langchain_model
 

src/esperanto/providers/reranker/jina.py

@@ -240,7 +240,7 @@ async def arerank(
     def to_langchain(self):
         """Convert to LangChain-compatible reranker."""
         try:
-            from langchain.schema import Document
+            from langchain_core.documents import Document
             from langchain_core.callbacks.manager import Callbacks
         except ImportError:
             raise ImportError(

src/esperanto/providers/reranker/transformers.py

@@ -506,7 +506,7 @@ async def arerank(
     def to_langchain(self):
         """Convert to LangChain-compatible reranker."""
         try:
-            from langchain.schema import Document
+            from langchain_core.documents import Document
             from langchain_core.callbacks.manager import Callbacks
         except ImportError:
             raise ImportError(

src/esperanto/providers/reranker/voyage.py

@@ -221,7 +221,7 @@ async def arerank(
     def to_langchain(self):
         """Convert to LangChain-compatible reranker."""
         try:
-            from langchain.schema import Document
+            from langchain_core.documents import Document
             from langchain_core.callbacks.manager import Callbacks
         except ImportError:
             raise ImportError(

tests/integration/test_langchain_integration.py

@@ -114,7 +114,7 @@ def test_xai_langchain_conversion(xai_model):
 def test_google_langchain_conversion(google_model):
     langchain_model = google_model.to_langchain()
     assert isinstance(langchain_model, ChatGoogleGenerativeAI)
-    assert langchain_model.model == "models/gemini-1.5-pro"
+    assert langchain_model.model == "gemini-1.5-pro"
     assert langchain_model.temperature == 0.7
     assert langchain_model.max_output_tokens == 100
     assert langchain_model.top_p == 0.9

tests/providers/llm/test_gemini_provider.py

@@ -274,6 +274,7 @@ def test_to_langchain():
             temperature=model.temperature,
             max_tokens=model.max_tokens,
             top_p=model.top_p,
+            google_api_key="test-key",
         )
     assert langchain_model.temperature == 1.0
     assert langchain_model.top_p == 0.9