diff --git a/python/README.md b/python/README.md
index d0e0b82e1..f1297177b 100644
--- a/python/README.md
+++ b/python/README.md
@@ -322,7 +322,7 @@ See [this documentation](https://docs.smith.langchain.com/tracing/faq/logging_an
 ```python
 from langsmith import traceable
 
-@traceable()
+@traceable(name="Call OpenAI")
 def my_function(text: str):
     return client.chat.completions.create(
         model="gpt-4",
diff --git a/python/langsmith/client.py b/python/langsmith/client.py
index 62ee0f31c..8529d3104 100644
--- a/python/langsmith/client.py
+++ b/python/langsmith/client.py
@@ -1077,20 +1077,23 @@ def batch_ingest_runs(
 
         self._insert_runtime_env(body["post"])
         logger.debug(f"Batch ingesting {len(body['post'])}, {len(body['patch'])} runs")
-        self.request_with_retries(
-            "post",
-            f"{self.api_url}/runs/batch",
-            request_kwargs={
-                "data": json.dumps(body, default=_serialize_json),
-                "timeout": self.timeout_ms / 1000,
-                "headers": {
-                    **self._headers,
-                    "Accept": "application/json",
-                    "Content-Type": "application/json",
+        try:
+            self.request_with_retries(
+                "post",
+                f"{self.api_url}/runs/batch",
+                request_kwargs={
+                    "data": json.dumps(body, default=_serialize_json),
+                    "timeout": self.timeout_ms / 1000,
+                    "headers": {
+                        **self._headers,
+                        "Accept": "application/json",
+                        "Content-Type": "application/json",
+                    },
                 },
-            },
-            to_ignore=(ls_utils.LangSmithConflictError,),
-        )
+                to_ignore=(ls_utils.LangSmithConflictError,),
+            )
+        except Exception as e:
+            logger.warning(f"Failed to batch ingest runs: {repr(e)}")
 
     def update_run(
         self,
diff --git a/python/langsmith/run_helpers.py b/python/langsmith/run_helpers.py
index c369e44b4..e1ff89de0 100644
--- a/python/langsmith/run_helpers.py
+++ b/python/langsmith/run_helpers.py
@@ -223,8 +223,10 @@ def _setup_run(
             tags=tags_,
             client=client_,
         )
-
-    new_run.post()
+    try:
+        new_run.post()
+    except Exception as e:
+        logger.error(f"Failed to post run {new_run.id}: {e}")
     response_container = _TraceableContainer(
         new_run=new_run,
         project_name=project_name_,
@@ -239,6 +241,16 @@ def _setup_run(
 
 R = TypeVar("R", covariant=True)
 
+_VALID_RUN_TYPES = {
+    "tool",
+    "chain",
+    "llm",
+    "retriever",
+    "embedding",
+    "prompt",
+    "parser",
+}
+
 
 @runtime_checkable
 class SupportsLangsmithExtra(Protocol, Generic[R]):
@@ -298,6 +310,17 @@ def traceable(
         if args and isinstance(args[0], str)
         else (kwargs.get("run_type") or "chain")
     )
+    if run_type not in _VALID_RUN_TYPES:
+        warnings.warn(
+            f"Unrecognized run_type: {run_type}. Must be one of: {_VALID_RUN_TYPES}."
+            f" Did you mean @traceable(name='{run_type}')?"
+        )
+    if len(args) > 1:
+        warnings.warn(
+            "The `traceable()` decorator only accepts one positional argument, "
+            "which should be the run_type. All other arguments should be passed "
+            "as keyword arguments."
+        )
     extra_outer = kwargs.get("extra") or {}
     name = kwargs.get("name")
     metadata = kwargs.get("metadata")
diff --git a/python/pyproject.toml b/python/pyproject.toml
index 5a0e9d7b0..ed66eee04 100644
--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langsmith"
-version = "0.1.0"
+version = "0.1.1"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 authors = ["LangChain <support@langchain.dev>"]
 license = "MIT"
diff --git a/python/tests/unit_tests/test_run_helpers.py b/python/tests/unit_tests/test_run_helpers.py
index 1a21fabae..7644de121 100644
--- a/python/tests/unit_tests/test_run_helpers.py
+++ b/python/tests/unit_tests/test_run_helpers.py
@@ -4,6 +4,7 @@
 import json
 import os
 import time
+import warnings
 from typing import Any
 from unittest.mock import MagicMock, patch
 
@@ -348,3 +349,50 @@ def __call__(self, a: int, b: int) -> None:
             pass
 
     assert not is_traceable_function(Foo())
+
+
+def test_traceable_warning() -> None:
+    with warnings.catch_warnings(record=True) as warning_records:
+        warnings.simplefilter("always")
+
+        @traceable(run_type="invalid_run_type")
+        def my_function() -> None:
+            pass
+
+        assert len(warning_records) == 1
+        assert issubclass(warning_records[0].category, UserWarning)
+        assert "Unrecognized run_type: invalid_run_type" in str(
+            warning_records[0].message
+        )
+        assert "Did you mean @traceable(name='invalid_run_type')?" in str(
+            warning_records[0].message
+        )
+
+
+def test_traceable_wrong_run_type_pos_arg() -> None:
+    with warnings.catch_warnings(record=True) as warning_records:
+        warnings.simplefilter("always")
+
+        @traceable("my_run_type")
+        def my_function() -> None:
+            pass
+
+        assert len(warning_records) == 1
+        assert issubclass(warning_records[0].category, UserWarning)
+        assert "Unrecognized run_type: my_run_type" in str(warning_records[0].message)
+        assert "Did you mean @traceable(name='my_run_type')?" in str(
+            warning_records[0].message
+        )
+
+
+def test_traceable_too_many_pos_args() -> None:
+    with warnings.catch_warnings(record=True) as warning_records:
+        warnings.simplefilter("always")
+
+        @traceable("chain", "my_function")  # type: ignore
+        def my_function() -> None:
+            pass
+
+        assert len(warning_records) == 1
+        assert issubclass(warning_records[0].category, UserWarning)
+        assert "only accepts one positional argument" in str(warning_records[0].message)