together[minor]: release 0.3

libs/together/langchain_together/chat_models.py

@@ -330,9 +330,9 @@ def _get_ls_params(
     @model_validator(mode="after")
     def validate_environment(self) -> Self:
         """Validate that api key and python package exists in environment."""
-        if self.n < 1:
+        if self.n is not None and self.n < 1:
             raise ValueError("n must be at least 1.")
-        if self.n > 1 and self.streaming:
+        if self.n is not None and self.n > 1 and self.streaming:
             raise ValueError("n must be 1 when streaming.")
 
         client_params: dict = {
@@ -343,10 +343,11 @@ def validate_environment(self) -> Self:
             ),
             "base_url": self.together_api_base,
             "timeout": self.request_timeout,
-            "max_retries": self.max_retries,
             "default_headers": self.default_headers,
             "default_query": self.default_query,
         }
+        if self.max_retries is not None:
+            client_params["max_retries"] = self.max_retries
 
         if not (self.client or None):
             sync_specific: dict = {"http_client": self.http_client}

libs/together/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "langchain-together"
-version = "0.2.1"
+version = "0.3.0"
 description = "An integration package connecting Together AI and LangChain"
 authors = []
 readme = "README.md"
@@ -20,8 +20,8 @@ disallow_untyped_defs = "True"
 
 [tool.poetry.dependencies]
 python = ">=3.9,<4.0"
-langchain-openai = "^0.2"
-langchain-core = "^0.3.27"
+langchain-openai = "^0.3"
+langchain-core = "^0.3.29"
 requests = "^2"
 aiohttp = "^3.9.1"
 

libs/together/tests/integration_tests/test_chat_models.py

@@ -66,14 +66,6 @@ def test_chat_together_extra_kwargs() -> None:
     with pytest.raises(ValueError):
         ChatTogether(foo=3, model_kwargs={"foo": 2})  # type: ignore[call-arg]
 
-    # Test that if explicit param is specified in kwargs it errors
-    with pytest.raises(ValueError):
-        ChatTogether(model_kwargs={"temperature": 0.2})
-
-    # Test that "model" cannot be specified in kwargs
-    with pytest.raises(ValueError):
-        ChatTogether(model_kwargs={"model": "meta-llama/Llama-3-8b-chat-hf"})
-
 
 def test_stream() -> None:
     """Test streaming tokens from Together AI."""