Run eval in eval mode (#6447)

For the `run_on_dataset` sessions

langchain/client/runner_utils.py

@@ -278,7 +278,7 @@ async def arun_on_examples(
     results: Dict[str, List[Any]] = {}
 
     async def process_example(
-        example: Example, tracer: LangChainTracer, job_state: dict
+        example: Example, tracer: Optional[LangChainTracer], job_state: dict
     ) -> None:
         """Process a single example."""
         result = await _arun_llm_or_chain(
@@ -466,6 +466,7 @@ async def arun_on_dataset(
     """
     client_ = client or LangChainPlusClient()
     session_name = _get_session_name(session_name, llm_or_chain_factory, dataset_name)
+    client_.create_session(session_name, mode="eval")
     dataset = client_.read_dataset(dataset_name=dataset_name)
     examples = client_.list_examples(dataset_id=str(dataset.id))
 
@@ -517,6 +518,7 @@ def run_on_dataset(
     """
     client_ = client or LangChainPlusClient()
     session_name = _get_session_name(session_name, llm_or_chain_factory, dataset_name)
+    client_.create_session(session_name, mode="eval")
     dataset = client_.read_dataset(dataset_name=dataset_name)
     examples = client_.list_examples(dataset_id=str(dataset.id))
     results = run_on_examples(

poetry.lock

@@ -3845,13 +3845,13 @@ tests = ["doctest", "pytest", "pytest-mock"]
 
 [[package]]
 name = "langchainplus-sdk"
-version = "0.0.10"
+version = "0.0.15"
 description = "Client library to connect to the LangChainPlus LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchainplus_sdk-0.0.10-py3-none-any.whl", hash = "sha256:6ea4013a92a4c33a61d22deb49620577c592a79ee44038b2c751032a71cbc7b6"},
-    {file = "langchainplus_sdk-0.0.10.tar.gz", hash = "sha256:4f810b38df74a99d01e5723e653da02f05df3ee922971cccabc365d00c33dbf6"},
+    {file = "langchainplus_sdk-0.0.15-py3-none-any.whl", hash = "sha256:e69bdbc8af6007ef2f774248d2483bbaf2d75712b1acc9ea50eda3b9f6dc567d"},
+    {file = "langchainplus_sdk-0.0.15.tar.gz", hash = "sha256:ce40e9e3b6d42741f0a2aa89f83a12f2648f38690a9dd57e5fe3a56f2f232908"},
 ]
 
 [package.dependencies]
@@ -10864,4 +10864,4 @@ text-helpers = ["chardet"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "abfd5265cf134d614666453b6f4ec958bcf8de6447b4bdad091c333528162d04"
+content-hash = "1009d76e766a610a009cf900800f854b3a7901d680226fabf8c4e82e98a83c44"

pyproject.toml

@@ -105,7 +105,7 @@ singlestoredb = {version = "^0.6.1", optional = true}
 pyspark = {version = "^3.4.0", optional = true}
 tigrisdb = {version = "^1.0.0b6", optional = true}
 nebula3-python = {version = "^3.4.0", optional = true}
-langchainplus-sdk = ">=0.0.9"
+langchainplus-sdk = ">=0.0.13"
 awadb = {version = "^0.3.3", optional = true}
 azure-search-documents = {version = "11.4.0a20230509004", source = "azure-sdk-dev", optional = true}
 # now streamlit requires Python >=3.7, !=3.9.7 So, it is commented out.

tests/unit_tests/client/test_runner_utils.py

@@ -176,12 +176,17 @@ async def test_arun_on_dataset(monkeypatch: pytest.MonkeyPatch) -> None:
             {"result": f"Result for example {example.id}"} for _ in range(n_repetitions)
         ]
 
+    def mock_create_session(*args: Any, **kwargs: Any) -> None:
+        pass
+
     with mock.patch.object(
         LangChainPlusClient, "read_dataset", new=mock_read_dataset
     ), mock.patch.object(
         LangChainPlusClient, "list_examples", new=mock_list_examples
     ), mock.patch(
         "langchain.client.runner_utils._arun_llm_or_chain", new=mock_arun_chain
+    ), mock.patch.object(
+        LangChainPlusClient, "create_session", new=mock_create_session
     ):
         client = LangChainPlusClient(api_url="http://localhost:1984", api_key="123")
         chain = mock.MagicMock()