Update Tracer Auth / Reduce Num Calls (#5517)

Update the session creation and calls

---------

Co-authored-by: Ankush Gola <ankush.gola@gmail.com>

langchain/callbacks/manager.py

@@ -23,7 +23,6 @@ from langchain.callbacks.openai_info import OpenAICallbackHandler
 from langchain.callbacks.stdout import StdOutCallbackHandler
 from langchain.callbacks.tracers.langchain import LangChainTracer
 from langchain.callbacks.tracers.langchain_v1 import LangChainTracerV1, TracerSessionV1
-from langchain.callbacks.tracers.schemas import TracerSession
 from langchain.callbacks.tracers.stdout import ConsoleCallbackHandler
 from langchain.callbacks.tracers.wandb import WandbTracer
 from langchain.schema import (
@@ -99,26 +98,21 @@ def tracing_v2_enabled(
     session_name: Optional[str] = None,
     *,
     example_id: Optional[Union[str, UUID]] = None,
-    tenant_id: Optional[str] = None,
-    session_extra: Optional[Dict[str, Any]] = None,
-) -> Generator[TracerSession, None, None]:
+) -> Generator[None, None, None]:
     """Get the experimental tracer handler in a context manager."""
     # Issue a warning that this is experimental
     warnings.warn(
-        "The experimental tracing v2 is in development. "
+        "The tracing v2 API is in development. "
         "This is not yet stable and may change in the future."
     )
     if isinstance(example_id, str):
         example_id = UUID(example_id)
     cb = LangChainTracer(
-        tenant_id=tenant_id,
-        session_name=session_name,
         example_id=example_id,
-        session_extra=session_extra,
+        session_name=session_name,
     )
-    session = cb.ensure_session()
     tracing_v2_callback_var.set(cb)
-    yield session
+    yield
     tracing_v2_callback_var.set(None)
 
 
@@ -919,7 +913,6 @@ def _configure(
             else:
                 try:
                     handler = LangChainTracer(session_name=tracer_session)
-                    handler.ensure_session()
                     callback_manager.add_handler(handler, True)
                 except Exception as e:
                     logger.warning(

langchain/callbacks/tracers/langchain.py

@@ -25,10 +25,8 @@ from langchain.callbacks.tracers.schemas import (
     RunTypeEnum,
     RunUpdate,
     TracerSession,
-    TracerSessionCreate,
 )
 from langchain.schema import BaseMessage, messages_to_dict
-from langchain.utils import raise_for_status_with_text
 
 logger = logging.getLogger(__name__)
 
@@ -65,49 +63,13 @@ retry_decorator = retry(
 )
 
 
-@retry_decorator
-def _get_tenant_id(
-    tenant_id: Optional[str], endpoint: Optional[str], headers: Optional[dict]
-) -> str:
-    """Get the tenant ID for the LangChain API."""
-    tenant_id_: Optional[str] = tenant_id or os.getenv("LANGCHAIN_TENANT_ID")
-    if tenant_id_:
-        return tenant_id_
-    endpoint_ = endpoint or get_endpoint()
-    headers_ = headers or get_headers()
-    response = None
-    try:
-        response = requests.get(endpoint_ + "/tenants", headers=headers_)
-        raise_for_status_with_text(response)
-    except HTTPError as e:
-        if response is not None and response.status_code == 500:
-            raise LangChainTracerAPIError(
-                f"Failed to get tenant ID from LangChain API. {e}"
-            )
-        else:
-            raise LangChainTracerUserError(
-                f"Failed to get tenant ID from LangChain API. {e}"
-            )
-    except Exception as e:
-        raise LangChainTracerError(
-            f"Failed to get tenant ID from LangChain API. {e}"
-        ) from e
-
-    tenants: List[Dict[str, Any]] = response.json()
-    if not tenants:
-        raise ValueError(f"No tenants found for URL {endpoint_}")
-    return tenants[0]["id"]
-
-
 class LangChainTracer(BaseTracer):
     """An implementation of the SharedTracer that POSTS to the langchain endpoint."""
 
     def __init__(
         self,
-        tenant_id: Optional[str] = None,
         example_id: Optional[UUID] = None,
         session_name: Optional[str] = None,
-        session_extra: Optional[Dict[str, Any]] = None,
         **kwargs: Any,
     ) -> None:
         """Initialize the LangChain tracer."""
@@ -115,10 +77,8 @@ class LangChainTracer(BaseTracer):
         self.session: Optional[TracerSession] = None
         self._endpoint = get_endpoint()
         self._headers = get_headers()
-        self.tenant_id = tenant_id
         self.example_id = example_id
         self.session_name = session_name or os.getenv("LANGCHAIN_SESSION", "default")
-        self.session_extra = session_extra
         # set max_workers to 1 to process tasks in order
         self.executor = ThreadPoolExecutor(max_workers=1)
 
@@ -149,62 +109,20 @@ class LangChainTracer(BaseTracer):
         self._start_trace(chat_model_run)
         self._on_chat_model_start(chat_model_run)
 
-    def ensure_tenant_id(self) -> str:
-        """Load or use the tenant ID."""
-        tenant_id = self.tenant_id or _get_tenant_id(
-            self.tenant_id, self._endpoint, self._headers
-        )
-        self.tenant_id = tenant_id
-        return tenant_id
-
-    @retry_decorator
-    def ensure_session(self) -> TracerSession:
-        """Upsert a session."""
-        if self.session is not None:
-            return self.session
-        tenant_id = self.ensure_tenant_id()
-        url = f"{self._endpoint}/sessions?upsert=true"
-        session_create = TracerSessionCreate(
-            name=self.session_name, extra=self.session_extra, tenant_id=tenant_id
-        )
-        response = None
-        try:
-            response = requests.post(
-                url,
-                data=session_create.json(),
-                headers=self._headers,
-            )
-            response.raise_for_status()
-        except HTTPError as e:
-            if response is not None and response.status_code == 500:
-                raise LangChainTracerAPIError(
-                    f"Failed to upsert session to LangChain API. {e}"
-                )
-            else:
-                raise LangChainTracerUserError(
-                    f"Failed to upsert session to LangChain API. {e}"
-                )
-        except Exception as e:
-            raise LangChainTracerError(
-                f"Failed to upsert session to LangChain API. {e}"
-            ) from e
-        self.session = TracerSession(**response.json())
-        return self.session
-
     def _persist_run(self, run: Run) -> None:
-        """Persist a run."""
+        """The Langchain Tracer uses Post/Patch rather than persist."""
 
     @retry_decorator
     def _persist_run_single(self, run: Run) -> None:
         """Persist a run."""
-        session = self.ensure_session()
         if run.parent_run_id is None:
             run.reference_example_id = self.example_id
         run_dict = run.dict()
         del run_dict["child_runs"]
-        run_create = RunCreate(**run_dict, session_id=session.id)
+        run_create = RunCreate(**run_dict, session_name=self.session_name)
         response = None
         try:
+            # TODO: Add retries when async
             response = requests.post(
                 f"{self._endpoint}/runs",
                 data=run_create.json(),

langchain/callbacks/tracers/schemas.py

@@ -36,12 +36,6 @@ class TracerSessionBase(TracerSessionV1Base):
     tenant_id: UUID
 
 
-class TracerSessionCreate(TracerSessionBase):
-    """A creation class for TracerSession."""
-
-    id: Optional[UUID]
-
-
 class TracerSession(TracerSessionBase):
     """TracerSessionV1 schema for the V2 API."""
 
@@ -136,7 +130,7 @@ class Run(RunBase):
 
 class RunCreate(RunBase):
     name: str
-    session_id: UUID
+    session_name: Optional[str] = None
 
     @root_validator(pre=True)
     def add_runtime_env(cls, values: Dict[str, Any]) -> Dict[str, Any]:

langchain/client/langchain.py

@@ -10,7 +10,6 @@ from typing import (
     Callable,
     Dict,
     Iterator,
-    List,
     Mapping,
     Optional,
     Sequence,
@@ -26,7 +25,8 @@ from requests import Response
 from tenacity import retry, stop_after_attempt, wait_fixed
 
 from langchain.base_language import BaseLanguageModel
-from langchain.callbacks.tracers.schemas import Run, TracerSession
+from langchain.callbacks.tracers.schemas import Run as TracerRun
+from langchain.callbacks.tracers.schemas import TracerSession
 from langchain.chains.base import Chain
 from langchain.client.models import (
     APIFeedbackSource,
@@ -54,6 +54,10 @@ logger = logging.getLogger(__name__)
 MODEL_OR_CHAIN_FACTORY = Union[Callable[[], Chain], BaseLanguageModel]
 
 
+class Run(TracerRun):
+    id: UUID
+
+
 def _get_link_stem(url: str) -> str:
     scheme = urlsplit(url).scheme
     netloc_prefix = urlsplit(url).netloc.split(":")[0]
@@ -75,7 +79,6 @@ class LangChainPlusClient(BaseSettings):
 
     api_key: Optional[str] = Field(default=None, env="LANGCHAIN_API_KEY")
     api_url: str = Field(default="http://localhost:1984", env="LANGCHAIN_ENDPOINT")
-    tenant_id: Optional[str] = None
 
     @root_validator(pre=True)
     def validate_api_key_if_hosted(cls, values: Dict[str, Any]) -> Dict[str, Any]:
@@ -87,31 +90,8 @@ class LangChainPlusClient(BaseSettings):
                 raise ValueError(
                     "API key must be provided when using hosted LangChain+ API"
                 )
-        tenant_id = values.get("tenant_id")
-        if not tenant_id:
-            values["tenant_id"] = LangChainPlusClient._get_seeded_tenant_id(
-                api_url, api_key
-            )
         return values
 
-    @staticmethod
-    @retry(stop=stop_after_attempt(3), wait=wait_fixed(0.5))
-    def _get_seeded_tenant_id(api_url: str, api_key: Optional[str]) -> str:
-        """Get the tenant ID from the seeded tenant."""
-        url = f"{api_url}/tenants"
-        headers = {"x-api-key": api_key} if api_key else {}
-        response = requests.get(url, headers=headers)
-        try:
-            raise_for_status_with_text(response)
-        except Exception as e:
-            raise ValueError(
-                "Unable to get default tenant ID. Please manually provide."
-            ) from e
-        results: List[dict] = response.json()
-        if len(results) == 0:
-            raise ValueError("No seeded tenant found")
-        return results[0]["id"]
-
     @staticmethod
     def _get_session_name(
         session_name: Optional[str],
@@ -149,18 +129,10 @@ class LangChainPlusClient(BaseSettings):
             headers["x-api-key"] = self.api_key
         return headers
 
-    @property
-    def query_params(self) -> Dict[str, Any]:
-        """Get the headers for the API request."""
-        return {"tenant_id": self.tenant_id}
-
     def _get(self, path: str, params: Optional[Dict[str, Any]] = None) -> Response:
         """Make a GET request."""
-        query_params = self.query_params
-        if params:
-            query_params.update(params)
         return requests.get(
-            f"{self.api_url}{path}", headers=self._headers, params=query_params
+            f"{self.api_url}{path}", headers=self._headers, params=params
         )
 
     def upload_dataframe(
@@ -192,7 +164,6 @@ class LangChainPlusClient(BaseSettings):
             "input_keys": ",".join(input_keys),
             "output_keys": ",".join(output_keys),
             "description": description,
-            "tenant_id": self.tenant_id,
         }
         response = requests.post(
             self.api_url + "/datasets/upload",
@@ -244,7 +215,7 @@ class LangChainPlusClient(BaseSettings):
     ) -> TracerSession:
         """Read a session from the LangChain+ API."""
         path = "/sessions"
-        params: Dict[str, Any] = {"limit": 1, "tenant_id": self.tenant_id}
+        params: Dict[str, Any] = {"limit": 1}
         if session_id is not None:
             path += f"/{session_id}"
         elif session_name is not None:
@@ -291,7 +262,6 @@ class LangChainPlusClient(BaseSettings):
     ) -> Dataset:
         """Create a dataset in the LangChain+ API."""
         dataset = DatasetCreate(
-            tenant_id=self.tenant_id,
             name=dataset_name,
             description=description,
         )
@@ -309,7 +279,7 @@ class LangChainPlusClient(BaseSettings):
         self, *, dataset_name: Optional[str] = None, dataset_id: Optional[str] = None
     ) -> Dataset:
         path = "/datasets"
-        params: Dict[str, Any] = {"limit": 1, "tenant_id": self.tenant_id}
+        params: Dict[str, Any] = {"limit": 1}
         if dataset_id is not None:
             path += f"/{dataset_id}"
         elif dataset_name is not None:

langchain/client/models.py

@@ -49,7 +49,6 @@ class ExampleUpdate(BaseModel):
 class DatasetBase(BaseModel):
     """Dataset base model."""
 
-    tenant_id: UUID
     name: str
     description: Optional[str] = None
 
@@ -68,6 +67,7 @@ class Dataset(DatasetBase):
     """Dataset ORM model."""
 
     id: UUID
+    tenant_id: UUID
     created_at: datetime
     modified_at: Optional[datetime] = Field(default=None)
 

langchain/client/runner_utils.py

@@ -214,7 +214,6 @@ async def _tracer_initializer(session_name: Optional[str]) -> Optional[LangChain
     """
     if session_name:
         tracer = LangChainTracer(session_name=session_name)
-        tracer.ensure_session()
         return tracer
     else:
         return None

tests/integration_tests/callbacks/test_langchain_tracer.py

@@ -148,8 +148,7 @@ def test_tracing_v2_context_manager() -> None:
     )
     if "LANGCHAIN_TRACING_V2" in os.environ:
         del os.environ["LANGCHAIN_TRACING_V2"]
-    with tracing_v2_enabled() as session:
-        assert session
+    with tracing_v2_enabled():
         agent.run(questions[0])  # this should be traced
 
     agent.run(questions[0])  # this should not be traced

tests/unit_tests/client/test_langchain.py

@@ -2,14 +2,12 @@
 import uuid
 from datetime import datetime
 from io import BytesIO
-from typing import Any, Dict, List, Optional, Union
+from typing import Any, Dict, List, Union
 from unittest import mock
 
 import pytest
 
 from langchain.base_language import BaseLanguageModel
-from langchain.callbacks.tracers.langchain import LangChainTracer
-from langchain.callbacks.tracers.schemas import TracerSession
 from langchain.chains.base import Chain
 from langchain.client.langchain import (
     LangChainPlusClient,
@@ -46,39 +44,23 @@ def test_is_localhost() -> None:
     assert not _is_localhost("http://example.com:8000")
 
 
-def test_validate_api_key_if_hosted() -> None:
-    def mock_get_seeded_tenant_id(api_url: str, api_key: Optional[str]) -> str:
-        return _TENANT_ID
+def test_validate_api_key_if_hosted(monkeypatch: pytest.MonkeyPatch) -> None:
+    monkeypatch.delenv("LANGCHAIN_API_KEY", raising=False)
+    with pytest.raises(ValueError, match="API key must be provided"):
+        LangChainPlusClient(api_url="http://www.example.com")
 
-    with mock.patch.object(
-        LangChainPlusClient, "_get_seeded_tenant_id", new=mock_get_seeded_tenant_id
-    ):
-        with pytest.raises(ValueError, match="API key must be provided"):
-            LangChainPlusClient(api_url="http://www.example.com")
+    client = LangChainPlusClient(api_url="http://localhost:8000")
+    assert client.api_url == "http://localhost:8000"
+    assert client.api_key is None
 
-    with mock.patch.object(
-        LangChainPlusClient, "_get_seeded_tenant_id", new=mock_get_seeded_tenant_id
-    ):
-        client = LangChainPlusClient(api_url="http://localhost:8000")
-        assert client.api_url == "http://localhost:8000"
-        assert client.api_key is None
 
+def test_headers(monkeypatch: pytest.MonkeyPatch) -> None:
+    monkeypatch.delenv("LANGCHAIN_API_KEY", raising=False)
+    client = LangChainPlusClient(api_url="http://localhost:8000", api_key="123")
+    assert client._headers == {"x-api-key": "123"}
 
-def test_headers() -> None:
-    def mock_get_seeded_tenant_id(api_url: str, api_key: Optional[str]) -> str:
-        return _TENANT_ID
-
-    with mock.patch.object(
-        LangChainPlusClient, "_get_seeded_tenant_id", new=mock_get_seeded_tenant_id
-    ):
-        client = LangChainPlusClient(api_url="http://localhost:8000", api_key="123")
-        assert client._headers == {"x-api-key": "123"}
-
-    with mock.patch.object(
-        LangChainPlusClient, "_get_seeded_tenant_id", new=mock_get_seeded_tenant_id
-    ):
-        client_no_key = LangChainPlusClient(api_url="http://localhost:8000")
-        assert client_no_key._headers == {}
+    client_no_key = LangChainPlusClient(api_url="http://localhost:8000")
+    assert client_no_key._headers == {}
 
 
 @mock.patch("langchain.client.langchain.requests.post")
@@ -112,7 +94,8 @@ def test_upload_csv(mock_post: mock.Mock) -> None:
     mock_post.return_value = mock_response
 
     client = LangChainPlusClient(
-        api_url="http://localhost:8000", api_key="123", tenant_id=_TENANT_ID
+        api_url="http://localhost:8000",
+        api_key="123",
     )
     csv_file = ("test.csv", BytesIO(b"input,output\n1,2\n3,4\n"))
 
@@ -196,22 +179,14 @@ async def test_arun_on_dataset(monkeypatch: pytest.MonkeyPatch) -> None:
             {"result": f"Result for example {example.id}"} for _ in range(n_repetitions)
         ]
 
-    def mock_ensure_session(self: Any, *args: Any, **kwargs: Any) -> TracerSession:
-        return TracerSession(name="test_session", tenant_id=_TENANT_ID, id=uuid.uuid4())
-
     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(
-        LangChainTracer, "ensure_session", new=mock_ensure_session
     ):
-        monkeypatch.setenv("LANGCHAIN_TENANT_ID", _TENANT_ID)
-        client = LangChainPlusClient(
-            api_url="http://localhost:8000", api_key="123", tenant_id=_TENANT_ID
-        )
+        client = LangChainPlusClient(api_url="http://localhost:8000", api_key="123")
         chain = mock.MagicMock()
         num_repetitions = 3
         results = await client.arun_on_dataset(