core[patch]: remove requests (#19891)

Removes required usage of `requests` from `langchain-core`, all of which
has been deprecated.

- removes Tracer V1 implementations
- removes old `try_load_from_hub` github-based hub implementations

Removal done in a way where imports will still succeed, and usage will
fail with a `RuntimeError`.

libs/community/tests/integration_tests/callbacks/test_langchain_tracer.py

@@ -1,11 +1,12 @@
 """Integration tests for the langchain tracer module."""
+
 import asyncio
 import os
 
 from aiohttp import ClientSession
 from langchain_core.callbacks.manager import atrace_as_chain_group, trace_as_chain_group
 from langchain_core.prompts import PromptTemplate
-from langchain_core.tracers.context import tracing_enabled, tracing_v2_enabled
+from langchain_core.tracers.context import tracing_v2_enabled
 
 from langchain_community.chat_models import ChatOpenAI
 from langchain_community.llms import OpenAI
@@ -95,44 +96,6 @@ async def test_tracing_concurrent_bw_compat_environ() -> None:
         del os.environ["LANGCHAIN_HANDLER"]
 
 
-def test_tracing_context_manager() -> None:
-    from langchain.agents import AgentType, initialize_agent, load_tools
-
-    llm = OpenAI(temperature=0)
-    tools = load_tools(["llm-math", "serpapi"], llm=llm)
-    agent = initialize_agent(
-        tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True
-    )
-    if "LANGCHAIN_TRACING" in os.environ:
-        del os.environ["LANGCHAIN_TRACING"]
-    with tracing_enabled() as session:
-        assert session
-        agent.run(questions[0])  # this should be traced
-
-    agent.run(questions[0])  # this should not be traced
-
-
-async def test_tracing_context_manager_async() -> None:
-    from langchain.agents import AgentType, initialize_agent, load_tools
-
-    llm = OpenAI(temperature=0)
-    async_tools = load_tools(["llm-math", "serpapi"], llm=llm)
-    agent = initialize_agent(
-        async_tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True
-    )
-    if "LANGCHAIN_TRACING" in os.environ:
-        del os.environ["LANGCHAIN_TRACING"]
-
-    # start a background task
-    task = asyncio.create_task(agent.arun(questions[0]))  # this should not be traced
-    with tracing_enabled() as session:
-        assert session
-        tasks = [agent.arun(q) for q in questions[1:4]]  # these should be traced
-        await asyncio.gather(*tasks)
-
-    await task
-
-
 async def test_tracing_v2_environment_variable() -> None:
     from langchain.agents import AgentType, initialize_agent, load_tools
 

libs/core/langchain_core/callbacks/manager.py

@@ -1914,7 +1914,6 @@ def _configure(
         _configure_hooks,
         _get_tracer_project,
         _tracing_v2_is_enabled,
-        tracing_callback_var,
         tracing_v2_callback_var,
     )
 
@@ -1953,20 +1952,25 @@ def _configure(
         callback_manager.add_metadata(inheritable_metadata or {})
         callback_manager.add_metadata(local_metadata or {}, False)
 
-    tracer = tracing_callback_var.get()
+    v1_tracing_enabled_ = env_var_is_set("LANGCHAIN_TRACING") or env_var_is_set(
-    tracing_enabled_ = (
+        "LANGCHAIN_HANDLER"
-        env_var_is_set("LANGCHAIN_TRACING")
-        or tracer is not None
-        or env_var_is_set("LANGCHAIN_HANDLER")
     )
 
     tracer_v2 = tracing_v2_callback_var.get()
     tracing_v2_enabled_ = _tracing_v2_is_enabled()
+
+    if v1_tracing_enabled_ and not tracing_v2_enabled_:
+        # if both are enabled, can silently ignore the v1 tracer
+        raise RuntimeError(
+            "Tracing using LangChainTracerV1 is no longer supported. "
+            "Please set the LANGCHAIN_TRACING_V2 environment variable to enable "
+            "tracing instead."
+        )
+
     tracer_project = _get_tracer_project()
     debug = _get_debug()
-    if verbose or debug or tracing_enabled_ or tracing_v2_enabled_:
+    if verbose or debug or tracing_v2_enabled_:
         from langchain_core.tracers.langchain import LangChainTracer
-        from langchain_core.tracers.langchain_v1 import LangChainTracerV1
         from langchain_core.tracers.stdout import ConsoleCallbackHandler
 
         if verbose and not any(
@@ -1982,16 +1986,6 @@ def _configure(
             for handler in callback_manager.handlers
         ):
             callback_manager.add_handler(ConsoleCallbackHandler(), True)
-        if tracing_enabled_ and not any(
-            isinstance(handler, LangChainTracerV1)
-            for handler in callback_manager.handlers
-        ):
-            if tracer:
-                callback_manager.add_handler(tracer, True)
-            else:
-                handler = LangChainTracerV1()
-                handler.load_session(tracer_project)
-                callback_manager.add_handler(handler, True)
         if tracing_v2_enabled_ and not any(
             isinstance(handler, LangChainTracer)
             for handler in callback_manager.handlers

libs/core/langchain_core/prompts/loading.py

@@ -1,4 +1,5 @@
 """Load prompts."""
+
 import json
 import logging
 from pathlib import Path
@@ -11,7 +12,6 @@ from langchain_core.prompts.base import BasePromptTemplate
 from langchain_core.prompts.chat import ChatPromptTemplate
 from langchain_core.prompts.few_shot import FewShotPromptTemplate
 from langchain_core.prompts.prompt import PromptTemplate
-from langchain_core.utils import try_load_from_hub
 
 URL_BASE = "https://raw.githubusercontent.com/hwchase17/langchain-hub/master/prompts/"
 logger = logging.getLogger(__name__)
@@ -127,12 +127,13 @@ def _load_prompt(config: dict) -> PromptTemplate:
 
 def load_prompt(path: Union[str, Path]) -> BasePromptTemplate:
     """Unified method for loading a prompt from LangChainHub or local fs."""
-    if hub_result := try_load_from_hub(
+    if isinstance(path, str) and path.startswith("lc://"):
-        path, _load_prompt_from_file, "prompts", {"py", "json", "yaml"}
+        raise RuntimeError(
-    ):
+            "Loading from the deprecated github-based Hub is no longer supported. "
-        return hub_result
+            "Please use the new LangChain Hub at https://smith.langchain.com/hub "
-    else:
+            "instead."
-        return _load_prompt_from_file(path)
+        )
+    return _load_prompt_from_file(path)
 
 
 def _load_prompt_from_file(file: Union[str, Path]) -> BasePromptTemplate:

libs/core/langchain_core/tracers/context.py

@@ -18,9 +18,7 @@ from uuid import UUID
 from langsmith import utils as ls_utils
 from langsmith.run_helpers import get_run_tree_context
 
-from langchain_core._api import deprecated
 from langchain_core.tracers.langchain import LangChainTracer
-from langchain_core.tracers.langchain_v1 import LangChainTracerV1
 from langchain_core.tracers.run_collector import RunCollectorCallbackHandler
 from langchain_core.tracers.schemas import TracerSessionV1
 from langchain_core.utils.env import env_var_is_set
@@ -31,44 +29,24 @@ if TYPE_CHECKING:
     from langchain_core.callbacks.base import BaseCallbackHandler, Callbacks
     from langchain_core.callbacks.manager import AsyncCallbackManager, CallbackManager
 
-# Deprecated as of 0.1.0, will be removed in 0.2.0.
+# for backwards partial compatibility if this is imported by users but unused
-tracing_callback_var: ContextVar[Optional[LangChainTracerV1]] = ContextVar(  # noqa: E501
+tracing_callback_var: Any = None
-    "tracing_callback", default=None
+tracing_v2_callback_var: ContextVar[Optional[LangChainTracer]] = ContextVar(
-)
-
-tracing_v2_callback_var: ContextVar[Optional[LangChainTracer]] = ContextVar(  # noqa: E501
     "tracing_callback_v2", default=None
-)
+)  # noqa: E501
-run_collector_var: ContextVar[Optional[RunCollectorCallbackHandler]] = ContextVar(  # noqa: E501
+run_collector_var: ContextVar[Optional[RunCollectorCallbackHandler]] = ContextVar(
     "run_collector", default=None
-)
+)  # noqa: E501
 
 
 @contextmanager
-@deprecated("0.1.0", alternative="tracing_v2_enabled", removal="0.2.0")
 def tracing_enabled(
     session_name: str = "default",
 ) -> Generator[TracerSessionV1, None, None]:
-    """Get the Deprecated LangChainTracer in a context manager.
+    """Throws an error because this has been replaced by tracing_v2_enabled."""
-
+    raise RuntimeError(
-    Args:
+        "tracing_enabled is no longer supported. Please use tracing_enabled_v2 instead."
-        session_name (str, optional): The name of the session.
+    )
-          Defaults to "default".
-
-    Returns:
-        TracerSessionV1: The LangChainTracer session.
-
-    Example:
-        >>> with tracing_enabled() as session:
-        ...     # Use the LangChainTracer session
-    """
-    cb = LangChainTracerV1()
-    session = cast(TracerSessionV1, cb.load_session(session_name))
-    try:
-        tracing_callback_var.set(cb)
-        yield session
-    finally:
-        tracing_callback_var.set(None)
 
 
 @contextmanager

libs/core/langchain_core/tracers/langchain_v1.py

@@ -1,187 +1,14 @@
-from __future__ import annotations
+from typing import Any
-
-import logging
-import os
-from typing import Any, Dict, Optional, Union
-
-import requests
-
-from langchain_core._api import deprecated
-from langchain_core.messages import get_buffer_string
-from langchain_core.tracers.base import BaseTracer
-from langchain_core.tracers.schemas import (
-    ChainRun,
-    LLMRun,
-    Run,
-    ToolRun,
-    TracerSession,
-    TracerSessionV1,
-    TracerSessionV1Base,
-)
-from langchain_core.utils import raise_for_status_with_text
-
-logger = logging.getLogger(__name__)
 
 
-def get_headers() -> Dict[str, Any]:
+def get_headers(*args: Any, **kwargs: Any) -> Any:
-    """Get the headers for the LangChain API."""
+    raise RuntimeError(
-    headers: Dict[str, Any] = {"Content-Type": "application/json"}
+        "get_headers for LangChainTracerV1 is no longer supported. "
-    if os.getenv("LANGCHAIN_API_KEY"):
+        "Please use LangChainTracer instead."
-        headers["x-api-key"] = os.getenv("LANGCHAIN_API_KEY")
+    )
-    return headers
 
 
-def _get_endpoint() -> str:
+def LangChainTracerV1(*args: Any, **kwargs: Any) -> Any:
-    return os.getenv("LANGCHAIN_ENDPOINT", "http://localhost:8000")
+    raise RuntimeError(
-
+        "LangChainTracerV1 is no longer supported. Please use LangChainTracer instead."
-
+    )
-@deprecated("0.1.0", alternative="LangChainTracer", removal="0.2.0")
-class LangChainTracerV1(BaseTracer):
-    """Implementation of the SharedTracer that POSTS to the langchain endpoint."""
-
-    def __init__(self, **kwargs: Any) -> None:
-        """Initialize the LangChain tracer."""
-        super().__init__(**kwargs)
-        self.session: Optional[TracerSessionV1] = None
-        self._endpoint = _get_endpoint()
-        self._headers = get_headers()
-
-    def _convert_to_v1_run(self, run: Run) -> Union[LLMRun, ChainRun, ToolRun]:
-        session = self.session or self.load_default_session()
-        if not isinstance(session, TracerSessionV1):
-            raise ValueError(
-                "LangChainTracerV1 is not compatible with"
-                f" session of type {type(session)}"
-            )
-
-        if run.run_type == "llm":
-            if "prompts" in run.inputs:
-                prompts = run.inputs["prompts"]
-            elif "messages" in run.inputs:
-                prompts = [get_buffer_string(batch) for batch in run.inputs["messages"]]
-            else:
-                raise ValueError("No prompts found in LLM run inputs")
-            return LLMRun(
-                uuid=str(run.id) if run.id else None,  # type: ignore[arg-type]
-                parent_uuid=str(run.parent_run_id) if run.parent_run_id else None,
-                start_time=run.start_time,
-                end_time=run.end_time,  # type: ignore[arg-type]
-                extra=run.extra,
-                execution_order=run.execution_order,
-                child_execution_order=run.child_execution_order,
-                serialized=run.serialized,  # type: ignore[arg-type]
-                session_id=session.id,
-                error=run.error,
-                prompts=prompts,
-                response=run.outputs if run.outputs else None,  # type: ignore[arg-type]
-            )
-        if run.run_type == "chain":
-            child_runs = [self._convert_to_v1_run(run) for run in run.child_runs]
-            return ChainRun(
-                uuid=str(run.id) if run.id else None,  # type: ignore[arg-type]
-                parent_uuid=str(run.parent_run_id) if run.parent_run_id else None,
-                start_time=run.start_time,
-                end_time=run.end_time,  # type: ignore[arg-type]
-                execution_order=run.execution_order,
-                child_execution_order=run.child_execution_order,
-                serialized=run.serialized,  # type: ignore[arg-type]
-                session_id=session.id,
-                inputs=run.inputs,
-                outputs=run.outputs,
-                error=run.error,
-                extra=run.extra,
-                child_llm_runs=[run for run in child_runs if isinstance(run, LLMRun)],
-                child_chain_runs=[
-                    run for run in child_runs if isinstance(run, ChainRun)
-                ],
-                child_tool_runs=[run for run in child_runs if isinstance(run, ToolRun)],
-            )
-        if run.run_type == "tool":
-            child_runs = [self._convert_to_v1_run(run) for run in run.child_runs]
-            return ToolRun(
-                uuid=str(run.id) if run.id else None,  # type: ignore[arg-type]
-                parent_uuid=str(run.parent_run_id) if run.parent_run_id else None,
-                start_time=run.start_time,
-                end_time=run.end_time,  # type: ignore[arg-type]
-                execution_order=run.execution_order,
-                child_execution_order=run.child_execution_order,
-                serialized=run.serialized,  # type: ignore[arg-type]
-                session_id=session.id,
-                action=str(run.serialized),
-                tool_input=run.inputs.get("input", ""),
-                output=None if run.outputs is None else run.outputs.get("output"),
-                error=run.error,
-                extra=run.extra,
-                child_chain_runs=[
-                    run for run in child_runs if isinstance(run, ChainRun)
-                ],
-                child_tool_runs=[run for run in child_runs if isinstance(run, ToolRun)],
-                child_llm_runs=[run for run in child_runs if isinstance(run, LLMRun)],
-            )
-        raise ValueError(f"Unknown run type: {run.run_type}")
-
-    def _persist_run(self, run: Union[Run, LLMRun, ChainRun, ToolRun]) -> None:
-        """Persist a run."""
-        if isinstance(run, Run):
-            v1_run = self._convert_to_v1_run(run)
-        else:
-            v1_run = run
-        if isinstance(v1_run, LLMRun):
-            endpoint = f"{self._endpoint}/llm-runs"
-        elif isinstance(v1_run, ChainRun):
-            endpoint = f"{self._endpoint}/chain-runs"
-        else:
-            endpoint = f"{self._endpoint}/tool-runs"
-
-        try:
-            response = requests.post(
-                endpoint,
-                data=v1_run.json(),
-                headers=self._headers,
-            )
-            raise_for_status_with_text(response)
-        except Exception as e:
-            logger.warning(f"Failed to persist run: {e}")
-
-    def _persist_session(
-        self, session_create: TracerSessionV1Base
-    ) -> Union[TracerSessionV1, TracerSession]:
-        """Persist a session."""
-        try:
-            r = requests.post(
-                f"{self._endpoint}/sessions",
-                data=session_create.json(),
-                headers=self._headers,
-            )
-            session = TracerSessionV1(id=r.json()["id"], **session_create.dict())
-        except Exception as e:
-            logger.warning(f"Failed to create session, using default session: {e}")
-            session = TracerSessionV1(id=1, **session_create.dict())
-        return session
-
-    def _load_session(self, session_name: Optional[str] = None) -> TracerSessionV1:
-        """Load a session from the tracer."""
-        try:
-            url = f"{self._endpoint}/sessions"
-            if session_name:
-                url += f"?name={session_name}"
-            r = requests.get(url, headers=self._headers)
-
-            tracer_session = TracerSessionV1(**r.json()[0])
-        except Exception as e:
-            session_type = "default" if not session_name else session_name
-            logger.warning(
-                f"Failed to load {session_type} session, using empty session: {e}"
-            )
-            tracer_session = TracerSessionV1(id=1)
-
-        self.session = tracer_session
-        return tracer_session
-
-    def load_session(self, session_name: str) -> Union[TracerSessionV1, TracerSession]:
-        """Load a session with the given name from the tracer."""
-        return self._load_session(session_name)
-
-    def load_default_session(self) -> Union[TracerSessionV1, TracerSession]:
-        """Load the default tracing session and set it as the Tracer's session."""
-        return self._load_session("default")

libs/core/langchain_core/utils/loading.py

@@ -1,68 +1,13 @@
 """Utilities for loading configurations from langchain_core-hub."""
 
-import os
+from typing import Any
-import re
-import tempfile
-from pathlib import Path, PurePosixPath
-from typing import Any, Callable, Optional, Set, TypeVar, Union
-from urllib.parse import urljoin
-
-import requests
-
-from langchain_core._api.deprecation import deprecated
-
-DEFAULT_REF = os.environ.get("LANGCHAIN_HUB_DEFAULT_REF", "master")
-LANGCHAINHUB_REPO = "https://raw.githubusercontent.com/hwchase17/langchain-hub/"
-URL_BASE = os.environ.get(
-    "LANGCHAIN_HUB_URL_BASE",
-    LANGCHAINHUB_REPO + "{ref}/",
-)
-HUB_PATH_RE = re.compile(r"lc(?P<ref>@[^:]+)?://(?P<path>.*)")
-
-T = TypeVar("T")
 
 
-@deprecated(
-    since="0.1.30",
-    removal="0.2",
-    message=(
-        "Using the hwchase17/langchain-hub "
-        "repo for prompts is deprecated. Please use "
-        "https://smith.langchain.com/hub instead."
-    ),
-)
 def try_load_from_hub(
-    path: Union[str, Path],
+    *args: Any,
-    loader: Callable[[str], T],
-    valid_prefix: str,
-    valid_suffixes: Set[str],
     **kwargs: Any,
-) -> Optional[T]:
+) -> Any:
-    """Load configuration from hub.  Returns None if path is not a hub path."""
+    raise RuntimeError(
-    if not isinstance(path, str) or not (match := HUB_PATH_RE.match(path)):
+        "Loading from the deprecated github-based Hub is no longer supported. "
-        return None
+        "Please use the new LangChain Hub at https://smith.langchain.com/hub instead."
-    ref, remote_path_str = match.groups()
+    )
-    ref = ref[1:] if ref else DEFAULT_REF
-    remote_path = Path(remote_path_str)
-    if remote_path.parts[0] != valid_prefix:
-        return None
-    if remote_path.suffix[1:] not in valid_suffixes:
-        raise ValueError(f"Unsupported file type, must be one of {valid_suffixes}.")
-
-    # Using Path with URLs is not recommended, because on Windows
-    # the backslash is used as the path separator, which can cause issues
-    # when working with URLs that use forward slashes as the path separator.
-    # Instead, use PurePosixPath to ensure that forward slashes are used as the
-    # path separator, regardless of the operating system.
-    full_url = urljoin(URL_BASE.format(ref=ref), PurePosixPath(remote_path).__str__())
-    if not full_url.startswith(LANGCHAINHUB_REPO):
-        raise ValueError(f"Invalid hub path: {path}")
-
-    r = requests.get(full_url, timeout=5)
-    if r.status_code != 200:
-        raise ValueError(f"Could not find file at {full_url}")
-    with tempfile.TemporaryDirectory() as tmpdirname:
-        file = Path(tmpdirname) / remote_path.name
-        with open(file, "wb") as f:
-            f.write(r.content)
-        return loader(str(file), **kwargs)

libs/core/poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -604,13 +604,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.4"
+version = "1.0.5"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "httpcore-1.0.4-py3-none-any.whl", hash = "sha256:ac418c1db41bade2ad53ae2f3834a3a0f5ae76b56cf5aa497d2d033384fc7d73"},
+    {file = "httpcore-1.0.5-py3-none-any.whl", hash = "sha256:421f18bac248b25d310f3cacd198d55b8e6125c107797b609ff9b7a6ba7991b5"},
-    {file = "httpcore-1.0.4.tar.gz", hash = "sha256:cb2839ccfcba0d2d3c1131d3c3e26dfc327326fbe7a5dc0dbfe9f6c9151bb022"},
+    {file = "httpcore-1.0.5.tar.gz", hash = "sha256:34a38e2f9291467ee3b44e89dd52615370e152954ba21721378a87b2960f7a61"},
 ]
 
 [package.dependencies]
@@ -621,7 +621,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.25.0)"]
+trio = ["trio (>=0.22.0,<0.26.0)"]
 
 [[package]]
 name = "httpx"
@@ -708,13 +708,13 @@ files = [
 
 [[package]]
 name = "ipykernel"
-version = "6.29.3"
+version = "6.29.4"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "ipykernel-6.29.3-py3-none-any.whl", hash = "sha256:5aa086a4175b0229d4eca211e181fb473ea78ffd9869af36ba7694c947302a21"},
+    {file = "ipykernel-6.29.4-py3-none-any.whl", hash = "sha256:1181e653d95c6808039c509ef8e67c4126b3b3af7781496c7cbfb5ed938a27da"},
-    {file = "ipykernel-6.29.3.tar.gz", hash = "sha256:e14c250d1f9ea3989490225cc1a542781b095a18a19447fcf2b5eaf7d0ac5bd2"},
+    {file = "ipykernel-6.29.4.tar.gz", hash = "sha256:3d44070060f9475ac2092b760123fadf105d2e2493c24848b6691a7c4f42af5c"},
 ]
 
 [package.dependencies]
@@ -1208,7 +1208,7 @@ develop = true
 langchain-core = "^0.1.28"
 
 [package.extras]
-extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
+extended-testing = ["lxml (>=4.9.3,<6.0)"]
 
 [package.source]
 type = "directory"
@@ -1216,13 +1216,13 @@ url = "../text-splitters"
 
 [[package]]
 name = "langsmith"
-version = "0.1.31"
+version = "0.1.38"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.31-py3-none-any.whl", hash = "sha256:5211a9dc00831db307eb843485a97096484b697b5d2cd1efaac34228e97ca087"},
+    {file = "langsmith-0.1.38-py3-none-any.whl", hash = "sha256:f36479f82cf537cf40d129ac2e485e72a3981360c7b6cf2549dad77d98eafd8f"},
-    {file = "langsmith-0.1.31.tar.gz", hash = "sha256:efd54ccd44be7fda911bfdc0ead340473df2fdd07345c7252901834d0c4aa37e"},
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+    {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b6ebc17cfbbf741f5c1a888d1854354536f63d84bee537c9a7c0335791bb9009"},
-    {file = "orjson-3.9.15-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ede0bde16cc6e9b96633df1631fbcd66491d1063667f260a4f2386a098393790"},
+    {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d2817877d0b69f78f146ab305c5975d0618df41acf8811249ee64231f5953fee"},
-    {file = "orjson-3.9.15-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:e88b97ef13910e5f87bcbc4dd7979a7de9ba8702b54d3204ac587e83639c0c2b"},
+    {file = "orjson-3.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:57d017863ec8aa4589be30a328dacd13c2dc49de1c170bc8d8c8a98ece0f2925"},
-    {file = "orjson-3.9.15-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:57d5d8cf9c27f7ef6bc56a5925c7fbc76b61288ab674eb352c26ac780caa5b10"},
+    {file = "orjson-3.10.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:22c2f7e377ac757bd3476ecb7480c8ed79d98ef89648f0176deb1da5cd014eb7"},
-    {file = "orjson-3.9.15-cp39-none-win32.whl", hash = "sha256:001f4eb0ecd8e9ebd295722d0cbedf0748680fb9998d3993abaed2f40587257a"},
+    {file = "orjson-3.10.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:e62ba42bfe64c60c1bc84799944f80704e996592c6b9e14789c8e2a303279912"},
-    {file = "orjson-3.9.15-cp39-none-win_amd64.whl", hash = "sha256:ea0b183a5fe6b2b45f3b854b0d19c4e932d6f5934ae1f723b07cf9560edd4ec7"},
+    {file = "orjson-3.10.0-cp39-none-win32.whl", hash = "sha256:60c0b1bdbccd959ebd1575bd0147bd5e10fc76f26216188be4a36b691c937077"},
-    {file = "orjson-3.9.15.tar.gz", hash = "sha256:95cae920959d772f30ab36d3b25f83bb0f3be671e986c72ce22f8fa700dae061"},
+    {file = "orjson-3.10.0-cp39-none-win_amd64.whl", hash = "sha256:175a41500ebb2fdf320bf78e8b9a75a1279525b62ba400b2b2444e274c2c8bee"},
+    {file = "orjson-3.10.0.tar.gz", hash = "sha256:ba4d8cac5f2e2cff36bea6b6481cdb92b38c202bcec603d6f5ff91960595a1ed"},
 ]
 
 [[package]]
@@ -1807,13 +1808,13 @@ tests = ["pytest"]
 
 [[package]]
 name = "pycparser"
-version = "2.21"
+version = "2.22"
 description = "C parser in Python"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.8"
 files = [
-    {file = "pycparser-2.21-py2.py3-none-any.whl", hash = "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9"},
+    {file = "pycparser-2.22-py3-none-any.whl", hash = "sha256:c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc"},
-    {file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"},
+    {file = "pycparser-2.22.tar.gz", hash = "sha256:491c8be9c040f5390f5bf44a5b07752bd07f56edf992381b05c701439eec10f6"},
 ]
 
 [[package]]
@@ -2145,6 +2146,7 @@ files = [
     {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
     {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
     {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
+    {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
     {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
     {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
     {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
@@ -2966,4 +2968,4 @@ extended-testing = ["jinja2"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "203d96b330412ce9defad6739381e4031fc9e995c2d9e0a61a905fc79fff11dd"
+content-hash = "c26c35cf1c6529b38924a1b9d3186fdefb3b3a1fecc5197559586451bb913f4a"

libs/core/pyproject.toml

@@ -15,7 +15,6 @@ langsmith = "^0.1.0"
 tenacity = "^8.1.0"
 jsonpatch = "^1.33"
 PyYAML = ">=5.3"
-requests = "^2"
 packaging = "^23.2"
 jinja2 = { version = "^3", optional = true }
 

libs/core/tests/unit_tests/tracers/test_langchain_v1.py

@@ -1,562 +0,0 @@
-"""Test Tracer classes."""
-from __future__ import annotations
-
-from datetime import datetime, timezone
-from typing import Any, List, Optional, Union
-from uuid import uuid4
-
-import pytest
-from freezegun import freeze_time
-
-from langchain_core.callbacks import CallbackManager
-from langchain_core.messages import HumanMessage
-from langchain_core.outputs import LLMResult
-from langchain_core.tracers.base import BaseTracer, TracerException
-from langchain_core.tracers.langchain_v1 import (
-    ChainRun,
-    LangChainTracerV1,
-    LLMRun,
-    ToolRun,
-    TracerSessionV1,
-)
-from langchain_core.tracers.schemas import Run, TracerSessionV1Base
-
-TEST_SESSION_ID = 2023
-
-SERIALIZED = {"id": ["llm"]}
-SERIALIZED_CHAT = {"id": ["chat_model"]}
-
-
-def load_session(session_name: str) -> TracerSessionV1:
-    """Load a tracing session."""
-    return TracerSessionV1(
-        id=TEST_SESSION_ID, name=session_name, start_time=datetime.now(timezone.utc)
-    )
-
-
-def new_session(name: Optional[str] = None) -> TracerSessionV1:
-    """Create a new tracing session."""
-    return TracerSessionV1(
-        id=TEST_SESSION_ID,
-        name=name or "default",
-        start_time=datetime.now(timezone.utc),
-    )
-
-
-def _persist_session(session: TracerSessionV1Base) -> TracerSessionV1:
-    """Persist a tracing session."""
-    return TracerSessionV1(**{**session.dict(), "id": TEST_SESSION_ID})
-
-
-def load_default_session() -> TracerSessionV1:
-    """Load a tracing session."""
-    return TracerSessionV1(
-        id=TEST_SESSION_ID, name="default", start_time=datetime.now(timezone.utc)
-    )
-
-
-@pytest.fixture
-def lang_chain_tracer_v1(monkeypatch: pytest.MonkeyPatch) -> LangChainTracerV1:
-    monkeypatch.setenv("LANGCHAIN_TENANT_ID", "test-tenant-id")
-    monkeypatch.setenv("LANGCHAIN_ENDPOINT", "http://test-endpoint.com")
-    monkeypatch.setenv("LANGCHAIN_API_KEY", "foo")
-    tracer = LangChainTracerV1()
-    return tracer
-
-
-class FakeTracer(BaseTracer):
-    """Fake tracer that records LangChain execution."""
-
-    def __init__(self) -> None:
-        """Initialize the tracer."""
-        super().__init__()
-        self.runs: List[Union[LLMRun, ChainRun, ToolRun]] = []
-
-    def _persist_run(self, run: Union[Run, LLMRun, ChainRun, ToolRun]) -> None:
-        """Persist a run."""
-        if isinstance(run, Run):
-            with pytest.MonkeyPatch().context() as m:
-                m.setenv("LANGCHAIN_TENANT_ID", "test-tenant-id")
-                m.setenv("LANGCHAIN_ENDPOINT", "http://test-endpoint.com")
-                m.setenv("LANGCHAIN_API_KEY", "foo")
-                tracer = LangChainTracerV1()
-                tracer.load_default_session = load_default_session  # type: ignore
-                run = tracer._convert_to_v1_run(run)
-        self.runs.append(run)
-
-    def _persist_session(self, session: TracerSessionV1Base) -> TracerSessionV1:
-        """Persist a tracing session."""
-        return _persist_session(session)
-
-    def new_session(self, name: Optional[str] = None) -> TracerSessionV1:
-        """Create a new tracing session."""
-        return new_session(name)
-
-    def load_session(self, session_name: str) -> TracerSessionV1:
-        """Load a tracing session."""
-        return load_session(session_name)
-
-    def load_default_session(self) -> TracerSessionV1:
-        """Load a tracing session."""
-        return load_default_session()
-
-
-def _compare_run_with_error(run: Any, expected_run: Any) -> None:
-    received = run.dict()
-    received_err = received.pop("error")
-    expected = expected_run.dict()
-    expected_err = expected.pop("error")
-    assert received == expected
-    assert expected_err in received_err
-
-
-@freeze_time("2023-01-01")
-def test_tracer_llm_run() -> None:
-    """Test tracer on an LLM run."""
-    uuid = uuid4()
-    compare_run = LLMRun(
-        uuid=str(uuid),
-        parent_uuid=None,
-        start_time=datetime.now(timezone.utc),
-        end_time=datetime.now(timezone.utc),
-        extra={},
-        execution_order=1,
-        child_execution_order=1,
-        serialized=SERIALIZED,
-        prompts=[],
-        response=LLMResult(generations=[[]]),
-        session_id=TEST_SESSION_ID,
-        error=None,
-    )
-    tracer = FakeTracer()
-
-    tracer.new_session()
-    tracer.on_llm_start(serialized=SERIALIZED, prompts=[], run_id=uuid)
-    tracer.on_llm_end(response=LLMResult(generations=[[]]), run_id=uuid)
-    assert tracer.runs == [compare_run]
-
-
-@freeze_time("2023-01-01")
-def test_tracer_chat_model_run() -> None:
-    """Test tracer on a Chat Model run."""
-    tracer = FakeTracer()
-
-    tracer.new_session()
-    manager = CallbackManager(handlers=[tracer])
-    run_managers = manager.on_chat_model_start(
-        serialized=SERIALIZED_CHAT, messages=[[HumanMessage(content="")]]
-    )
-    compare_run = LLMRun(
-        uuid=str(run_managers[0].run_id),
-        parent_uuid=None,
-        start_time=datetime.now(timezone.utc),
-        end_time=datetime.now(timezone.utc),
-        extra={},
-        execution_order=1,
-        child_execution_order=1,
-        serialized=SERIALIZED_CHAT,
-        prompts=["Human: "],
-        response=LLMResult(generations=[[]]),
-        session_id=TEST_SESSION_ID,
-        error=None,
-    )
-    for run_manager in run_managers:
-        run_manager.on_llm_end(response=LLMResult(generations=[[]]))
-    assert tracer.runs == [compare_run]
-
-
-@freeze_time("2023-01-01")
-def test_tracer_llm_run_errors_no_start() -> None:
-    """Test tracer on an LLM run without a start."""
-    tracer = FakeTracer()
-
-    tracer.new_session()
-    with pytest.raises(TracerException):
-        tracer.on_llm_end(response=LLMResult(generations=[[]]), run_id=uuid4())
-
-
-@freeze_time("2023-01-01")
-def test_tracer_multiple_llm_runs() -> None:
-    """Test the tracer with multiple runs."""
-    uuid = uuid4()
-    compare_run = LLMRun(
-        uuid=str(uuid),
-        parent_uuid=None,
-        start_time=datetime.now(timezone.utc),
-        end_time=datetime.now(timezone.utc),
-        extra={},
-        execution_order=1,
-        child_execution_order=1,
-        serialized=SERIALIZED,
-        prompts=[],
-        response=LLMResult(generations=[[]]),
-        session_id=TEST_SESSION_ID,
-        error=None,
-    )
-    tracer = FakeTracer()
-
-    tracer.new_session()
-    num_runs = 10
-    for _ in range(num_runs):
-        tracer.on_llm_start(serialized=SERIALIZED, prompts=[], run_id=uuid)
-        tracer.on_llm_end(response=LLMResult(generations=[[]]), run_id=uuid)
-
-    assert tracer.runs == [compare_run] * num_runs
-
-
-@freeze_time("2023-01-01")
-def test_tracer_chain_run() -> None:
-    """Test tracer on a Chain run."""
-    uuid = uuid4()
-    compare_run = ChainRun(
-        uuid=str(uuid),
-        parent_uuid=None,
-        start_time=datetime.now(timezone.utc),
-        end_time=datetime.now(timezone.utc),
-        extra={},
-        execution_order=1,
-        child_execution_order=1,
-        serialized={"name": "chain"},
-        inputs={},
-        outputs={},
-        session_id=TEST_SESSION_ID,
-        error=None,
-    )
-    tracer = FakeTracer()
-
-    tracer.new_session()
-    tracer.on_chain_start(serialized={"name": "chain"}, inputs={}, run_id=uuid)
-    tracer.on_chain_end(outputs={}, run_id=uuid)
-    assert tracer.runs == [compare_run]
-
-
-@freeze_time("2023-01-01")
-def test_tracer_tool_run() -> None:
-    """Test tracer on a Tool run."""
-    uuid = uuid4()
-    compare_run = ToolRun(
-        uuid=str(uuid),
-        parent_uuid=None,
-        start_time=datetime.now(timezone.utc),
-        end_time=datetime.now(timezone.utc),
-        extra={},
-        execution_order=1,
-        child_execution_order=1,
-        serialized={"name": "tool"},
-        tool_input="test",
-        output="test",
-        action="{'name': 'tool'}",
-        session_id=TEST_SESSION_ID,
-        error=None,
-    )
-    tracer = FakeTracer()
-
-    tracer.new_session()
-    tracer.on_tool_start(serialized={"name": "tool"}, input_str="test", run_id=uuid)
-    tracer.on_tool_end("test", run_id=uuid)
-    assert tracer.runs == [compare_run]
-
-
-@freeze_time("2023-01-01")
-def test_tracer_nested_run() -> None:
-    """Test tracer on a nested run."""
-    tracer = FakeTracer()
-    tracer.new_session()
-
-    chain_uuid = uuid4()
-    tool_uuid = uuid4()
-    llm_uuid1 = uuid4()
-    llm_uuid2 = uuid4()
-    for _ in range(10):
-        tracer.on_chain_start(
-            serialized={"name": "chain"}, inputs={}, run_id=chain_uuid
-        )
-        tracer.on_tool_start(
-            serialized={"name": "tool"},
-            input_str="test",
-            run_id=tool_uuid,
-            parent_run_id=chain_uuid,
-        )
-        tracer.on_llm_start(
-            serialized=SERIALIZED,
-            prompts=[],
-            run_id=llm_uuid1,
-            parent_run_id=tool_uuid,
-        )
-        tracer.on_llm_end(response=LLMResult(generations=[[]]), run_id=llm_uuid1)
-        tracer.on_tool_end("test", run_id=tool_uuid)
-        tracer.on_llm_start(
-            serialized=SERIALIZED,
-            prompts=[],
-            run_id=llm_uuid2,
-            parent_run_id=chain_uuid,
-        )
-        tracer.on_llm_end(response=LLMResult(generations=[[]]), run_id=llm_uuid2)
-        tracer.on_chain_end(outputs={}, run_id=chain_uuid)
-
-    compare_run = ChainRun(
-        uuid=str(chain_uuid),
-        error=None,
-        start_time=datetime.now(timezone.utc),
-        end_time=datetime.now(timezone.utc),
-        extra={},
-        execution_order=1,
-        child_execution_order=4,
-        serialized={"name": "chain"},
-        inputs={},
-        outputs={},
-        session_id=TEST_SESSION_ID,
-        child_chain_runs=[],
-        child_tool_runs=[
-            ToolRun(
-                uuid=str(tool_uuid),
-                parent_uuid=str(chain_uuid),
-                start_time=datetime.now(timezone.utc),
-                end_time=datetime.now(timezone.utc),
-                extra={},
-                execution_order=2,
-                child_execution_order=3,
-                serialized={"name": "tool"},
-                tool_input="test",
-                output="test",
-                action="{'name': 'tool'}",
-                session_id=TEST_SESSION_ID,
-                error=None,
-                child_chain_runs=[],
-                child_tool_runs=[],
-                child_llm_runs=[
-                    LLMRun(
-                        uuid=str(llm_uuid1),
-                        parent_uuid=str(tool_uuid),
-                        error=None,
-                        start_time=datetime.now(timezone.utc),
-                        end_time=datetime.now(timezone.utc),
-                        extra={},
-                        execution_order=3,
-                        child_execution_order=3,
-                        serialized=SERIALIZED,
-                        prompts=[],
-                        response=LLMResult(generations=[[]]),
-                        session_id=TEST_SESSION_ID,
-                    )
-                ],
-            ),
-        ],
-        child_llm_runs=[
-            LLMRun(
-                uuid=str(llm_uuid2),
-                parent_uuid=str(chain_uuid),
-                error=None,
-                start_time=datetime.now(timezone.utc),
-                end_time=datetime.now(timezone.utc),
-                extra={},
-                execution_order=4,
-                child_execution_order=4,
-                serialized=SERIALIZED,
-                prompts=[],
-                response=LLMResult(generations=[[]]),
-                session_id=TEST_SESSION_ID,
-            ),
-        ],
-    )
-    assert tracer.runs[0] == compare_run
-    assert tracer.runs == [compare_run] * 10
-
-
-@freeze_time("2023-01-01")
-def test_tracer_llm_run_on_error() -> None:
-    """Test tracer on an LLM run with an error."""
-    exception = Exception("test")
-    uuid = uuid4()
-
-    compare_run = LLMRun(
-        uuid=str(uuid),
-        parent_uuid=None,
-        start_time=datetime.now(timezone.utc),
-        end_time=datetime.now(timezone.utc),
-        extra={},
-        execution_order=1,
-        child_execution_order=1,
-        serialized=SERIALIZED,
-        prompts=[],
-        response=None,
-        session_id=TEST_SESSION_ID,
-        error=repr(exception),
-    )
-    tracer = FakeTracer()
-
-    tracer.new_session()
-    tracer.on_llm_start(serialized=SERIALIZED, prompts=[], run_id=uuid)
-    tracer.on_llm_error(exception, run_id=uuid)
-    _compare_run_with_error(tracer.runs[0], compare_run)
-
-
-@freeze_time("2023-01-01")
-def test_tracer_chain_run_on_error() -> None:
-    """Test tracer on a Chain run with an error."""
-    exception = Exception("test")
-    uuid = uuid4()
-
-    compare_run = ChainRun(
-        uuid=str(uuid),
-        parent_uuid=None,
-        start_time=datetime.now(timezone.utc),
-        end_time=datetime.now(timezone.utc),
-        extra={},
-        execution_order=1,
-        child_execution_order=1,
-        serialized={"name": "chain"},
-        inputs={},
-        outputs=None,
-        session_id=TEST_SESSION_ID,
-        error=repr(exception),
-    )
-    tracer = FakeTracer()
-
-    tracer.new_session()
-    tracer.on_chain_start(serialized={"name": "chain"}, inputs={}, run_id=uuid)
-    tracer.on_chain_error(exception, run_id=uuid)
-    _compare_run_with_error(tracer.runs[0], compare_run)
-
-
-@freeze_time("2023-01-01")
-def test_tracer_tool_run_on_error() -> None:
-    """Test tracer on a Tool run with an error."""
-    exception = Exception("test")
-    uuid = uuid4()
-
-    compare_run = ToolRun(
-        uuid=str(uuid),
-        parent_uuid=None,
-        start_time=datetime.now(timezone.utc),
-        end_time=datetime.now(timezone.utc),
-        extra={},
-        execution_order=1,
-        child_execution_order=1,
-        serialized={"name": "tool"},
-        tool_input="test",
-        output=None,
-        action="{'name': 'tool'}",
-        session_id=TEST_SESSION_ID,
-        error=repr(exception),
-    )
-    tracer = FakeTracer()
-
-    tracer.new_session()
-    tracer.on_tool_start(serialized={"name": "tool"}, input_str="test", run_id=uuid)
-    tracer.on_tool_error(exception, run_id=uuid)
-    _compare_run_with_error(tracer.runs[0], compare_run)
-
-
-@pytest.fixture
-def sample_tracer_session_v1() -> TracerSessionV1:
-    return TracerSessionV1(id=2, name="Sample session")
-
-
-@freeze_time("2023-01-01")
-def test_convert_run(
-    lang_chain_tracer_v1: LangChainTracerV1,
-    sample_tracer_session_v1: TracerSessionV1,
-) -> None:
-    """Test converting a run to a V1 run."""
-    llm_run = Run(  # type: ignore[call-arg]
-        id="57a08cc4-73d2-4236-8370-549099d07fad",  # type: ignore[arg-type]
-        name="llm_run",
-        execution_order=1,
-        child_execution_order=1,
-        start_time=datetime.now(timezone.utc),
-        end_time=datetime.now(timezone.utc),
-        session_id=TEST_SESSION_ID,
-        inputs={"prompts": []},
-        outputs=LLMResult(generations=[[]]).dict(),
-        serialized={},
-        extra={},
-        run_type="llm",
-    )
-    chain_run = Run(
-        id="57a08cc4-73d2-4236-8371-549099d07fad",  # type: ignore[arg-type]
-        name="chain_run",
-        execution_order=1,
-        start_time=datetime.now(timezone.utc),
-        end_time=datetime.now(timezone.utc),
-        child_execution_order=1,
-        serialized={},
-        inputs={},
-        outputs={},
-        child_runs=[llm_run],
-        extra={},
-        run_type="chain",
-    )
-
-    tool_run = Run(
-        id="57a08cc4-73d2-4236-8372-549099d07fad",  # type: ignore[arg-type]
-        name="tool_run",
-        execution_order=1,
-        child_execution_order=1,
-        inputs={"input": "test"},
-        start_time=datetime.now(timezone.utc),
-        end_time=datetime.now(timezone.utc),
-        outputs=None,
-        serialized={},
-        child_runs=[],
-        extra={},
-        run_type="tool",
-    )
-
-    expected_llm_run = LLMRun(  # type: ignore[call-arg]
-        uuid="57a08cc4-73d2-4236-8370-549099d07fad",
-        name="llm_run",
-        execution_order=1,
-        child_execution_order=1,
-        start_time=datetime.now(timezone.utc),
-        end_time=datetime.now(timezone.utc),
-        session_id=2,
-        prompts=[],
-        response=LLMResult(generations=[[]]),
-        serialized={},
-        extra={},
-    )
-
-    expected_chain_run = ChainRun(  # type: ignore[call-arg]
-        uuid="57a08cc4-73d2-4236-8371-549099d07fad",
-        name="chain_run",
-        execution_order=1,
-        child_execution_order=1,
-        start_time=datetime.now(timezone.utc),
-        end_time=datetime.now(timezone.utc),
-        session_id=2,
-        serialized={},
-        inputs={},
-        outputs={},
-        child_llm_runs=[expected_llm_run],
-        child_chain_runs=[],
-        child_tool_runs=[],
-        extra={},
-    )
-    expected_tool_run = ToolRun(  # type: ignore[call-arg]
-        uuid="57a08cc4-73d2-4236-8372-549099d07fad",
-        name="tool_run",
-        execution_order=1,
-        child_execution_order=1,
-        session_id=2,
-        start_time=datetime.now(timezone.utc),
-        end_time=datetime.now(timezone.utc),
-        tool_input="test",
-        action="{}",
-        serialized={},
-        child_llm_runs=[],
-        child_chain_runs=[],
-        child_tool_runs=[],
-        extra={},
-    )
-    lang_chain_tracer_v1.session = sample_tracer_session_v1
-    converted_llm_run = lang_chain_tracer_v1._convert_to_v1_run(llm_run)
-    converted_chain_run = lang_chain_tracer_v1._convert_to_v1_run(chain_run)
-    converted_tool_run = lang_chain_tracer_v1._convert_to_v1_run(tool_run)
-
-    assert isinstance(converted_llm_run, LLMRun)
-    assert isinstance(converted_chain_run, ChainRun)
-    assert isinstance(converted_tool_run, ToolRun)
-    assert converted_llm_run == expected_llm_run
-    assert converted_tool_run == expected_tool_run
-    assert converted_chain_run == expected_chain_run

libs/core/tests/unit_tests/utils/test_loading.py

@@ -1,106 +0,0 @@
-"""Test the functionality of loading from langchain-hub."""
-
-import json
-import re
-from pathlib import Path
-from typing import Iterable
-from unittest.mock import Mock
-from urllib.parse import urljoin
-
-import pytest
-import responses
-
-from langchain_core.utils.loading import DEFAULT_REF, URL_BASE, try_load_from_hub
-
-
-@pytest.fixture(autouse=True)
-def mocked_responses() -> Iterable[responses.RequestsMock]:
-    """Fixture mocking requests.get."""
-    with responses.RequestsMock() as rsps:
-        yield rsps
-
-
-def test_non_hub_path() -> None:
-    """Test that a non-hub path returns None."""
-    path = "chains/some_path"
-    loader = Mock()
-    valid_suffixes = {"suffix"}
-    result = try_load_from_hub(path, loader, "chains", valid_suffixes)
-
-    assert result is None
-    loader.assert_not_called()
-
-
-def test_invalid_prefix() -> None:
-    """Test that a hub path with an invalid prefix returns None."""
-    path = "lc://agents/some_path"
-    loader = Mock()
-    valid_suffixes = {"suffix"}
-    result = try_load_from_hub(path, loader, "chains", valid_suffixes)
-
-    assert result is None
-    loader.assert_not_called()
-
-
-def test_invalid_suffix() -> None:
-    """Test that a hub path with an invalid suffix raises an error."""
-    path = "lc://chains/path.invalid"
-    loader = Mock()
-    valid_suffixes = {"json"}
-
-    with pytest.raises(
-        ValueError, match=f"Unsupported file type, must be one of {valid_suffixes}."
-    ):
-        try_load_from_hub(path, loader, "chains", valid_suffixes)
-
-    loader.assert_not_called()
-
-
-@pytest.mark.parametrize("ref", [None, "v0.3"])
-def test_success(mocked_responses: responses.RequestsMock, ref: str) -> None:
-    """Test that a valid hub path is loaded correctly with and without a ref."""
-    path = "chains/path/chain.json"
-    lc_path_prefix = f"lc{('@' + ref) if ref else ''}://"
-    valid_suffixes = {"json"}
-    body = json.dumps({"foo": "bar"})
-    ref = ref or DEFAULT_REF
-
-    file_contents = None
-
-    def loader(file_path: str) -> None:
-        nonlocal file_contents
-        assert file_contents is None
-        file_contents = Path(file_path).read_text()
-
-    mocked_responses.get(  # type: ignore
-        urljoin(URL_BASE.format(ref=ref), path),
-        body=body,
-        status=200,
-        content_type="application/json",
-    )
-
-    try_load_from_hub(f"{lc_path_prefix}{path}", loader, "chains", valid_suffixes)
-    assert file_contents == body
-
-
-def test_failed_request(mocked_responses: responses.RequestsMock) -> None:
-    """Test that a failed request raises an error."""
-    path = "chains/path/chain.json"
-    loader = Mock()
-
-    mocked_responses.get(  # type: ignore
-        urljoin(URL_BASE.format(ref=DEFAULT_REF), path), status=500
-    )
-
-    with pytest.raises(ValueError, match=re.compile("Could not find file at .*")):
-        try_load_from_hub(f"lc://{path}", loader, "chains", {"json"})
-    loader.assert_not_called()
-
-
-def test_path_traversal() -> None:
-    """Test that a path traversal attack is prevented."""
-    path = "lc://chains/../../../../../../../../../it.json"
-    loader = Mock()
-
-    with pytest.raises(ValueError):
-        try_load_from_hub(path, loader, "chains", {"json"})

libs/experimental/langchain_experimental/prompts/load.py

@@ -1,52 +1,3 @@
-# Susceptible to arbitrary code execution: https://github.com/langchain-ai/langchain/issues/4849
+from langchain.prompts.loading import load_prompt
-import importlib.util
-import json
-from pathlib import Path
-from typing import Union
 
-import yaml
+__all__ = ["load_prompt"]
-from langchain.prompts.loading import load_prompt_from_config, try_load_from_hub
-from langchain_core.prompts import BasePromptTemplate
-
-
-def load_prompt(path: Union[str, Path]) -> BasePromptTemplate:
-    """Unified method for loading a prompt from LangChainHub or local file system."""
-
-    if hub_result := try_load_from_hub(
-        path, _load_prompt_from_file, "prompts", {"py", "json", "yaml"}
-    ):
-        return hub_result
-    else:
-        return _load_prompt_from_file(path)
-
-
-def _load_prompt_from_file(file: Union[str, Path]) -> BasePromptTemplate:
-    """Load prompt from file."""
-    # Convert file to a Path object.
-    if isinstance(file, str):
-        file_path = Path(file)
-    else:
-        file_path = file
-    # Load from either json or yaml.
-    if file_path.suffix == ".json":
-        with open(file_path) as f:
-            config = json.load(f)
-    elif file_path.suffix.endswith((".yaml", ".yml")):
-        with open(file_path, "r") as f:
-            config = yaml.safe_load(f)
-    elif file_path.suffix == ".py":
-        spec = importlib.util.spec_from_loader(
-            "prompt", loader=None, origin=str(file_path)
-        )
-        if spec is None:
-            raise ValueError("could not load spec")
-        helper = importlib.util.module_from_spec(spec)
-        with open(file_path, "rb") as f:
-            exec(f.read(), helper.__dict__)
-        if not isinstance(helper.PROMPT, BasePromptTemplate):
-            raise ValueError("Did not get object of type BasePromptTemplate.")
-        return helper.PROMPT
-    else:
-        raise ValueError(f"Got unsupported file type {file_path.suffix}")
-    # Load the prompt from the config now.
-    return load_prompt_from_config(config)

libs/langchain/langchain/agents/loading.py

@@ -1,4 +1,5 @@
 """Functionality for loading agents."""
+
 import json
 import logging
 from pathlib import Path
@@ -8,7 +9,6 @@ import yaml
 from langchain_core._api import deprecated
 from langchain_core.language_models import BaseLanguageModel
 from langchain_core.tools import Tool
-from langchain_core.utils.loading import try_load_from_hub
 
 from langchain.agents.agent import BaseMultiActionAgent, BaseSingleActionAgent
 from langchain.agents.types import AGENT_TO_CLASS
@@ -100,13 +100,13 @@ def load_agent(
     Returns:
         An agent executor.
     """
-    valid_suffixes = {"json", "yaml"}
+    if isinstance(path, str) and path.startswith("lc://"):
-    if hub_result := try_load_from_hub(
+        raise RuntimeError(
-        path, _load_agent_from_file, "agents", valid_suffixes
+            "Loading from the deprecated github-based Hub is no longer supported. "
-    ):
+            "Please use the new LangChain Hub at https://smith.langchain.com/hub "
-        return hub_result
+            "instead."
-    else:
+        )
-        return _load_agent_from_file(path, **kwargs)
+    return _load_agent_from_file(path, **kwargs)
 
 
 def _load_agent_from_file(

libs/langchain/langchain/chains/loading.py

@@ -1,4 +1,5 @@
 """Functionality for loading chains."""
+
 import json
 from pathlib import Path
 from typing import Any, Union
@@ -10,7 +11,6 @@ from langchain_core.prompts.loading import (
     load_prompt,
     load_prompt_from_config,
 )
-from langchain_core.utils.loading import try_load_from_hub
 
 from langchain.chains import ReduceDocumentsChain
 from langchain.chains.api.base import APIChain
@@ -622,12 +622,13 @@ def load_chain_from_config(config: dict, **kwargs: Any) -> Chain:
 
 def load_chain(path: Union[str, Path], **kwargs: Any) -> Chain:
     """Unified method for loading a chain from LangChainHub or local fs."""
-    if hub_result := try_load_from_hub(
+    if isinstance(path, str) and path.startswith("lc://"):
-        path, _load_chain_from_file, "chains", {"json", "yaml"}, **kwargs
+        raise RuntimeError(
-    ):
+            "Loading from the deprecated github-based Hub is no longer supported. "
-        return hub_result
+            "Please use the new LangChain Hub at https://smith.langchain.com/hub "
-    else:
+            "instead."
-        return _load_chain_from_file(path, **kwargs)
+        )
+    return _load_chain_from_file(path, **kwargs)
 
 
 def _load_chain_from_file(file: Union[str, Path], **kwargs: Any) -> Chain: