diff --git a/libs/core/langchain_core/prompts/base.py b/libs/core/langchain_core/prompts/base.py
index 9a65e5e32db..51eddf0f771 100644
--- a/libs/core/langchain_core/prompts/base.py
+++ b/libs/core/langchain_core/prompts/base.py
@@ -27,6 +27,7 @@ from langchain_core.prompt_values import (
 )
 from langchain_core.pydantic_v1 import BaseModel, Field, create_model, root_validator
 from langchain_core.runnables import RunnableConfig, RunnableSerializable
+from langchain_core.runnables.config import ensure_config
 
 if TYPE_CHECKING:
     from langchain_core.documents import Document
@@ -48,6 +49,14 @@ class BasePromptTemplate(
     output_parser: Optional[BaseOutputParser] = None
     """How to parse the output of calling an LLM on this formatted prompt."""
     partial_variables: Mapping[str, Any] = Field(default_factory=dict)
+    """A dictionary of the partial variables the prompt template carries.
+    
+    Partial variables populate the template so that you don't need to
+    pass them in every time you call the prompt."""
+    metadata: Optional[Dict[str, Any]] = None
+    """Metadata to be used for tracing."""
+    tags: Optional[List[str]] = None
+    """Tags to be used for tracing."""
 
     @classmethod
     def get_lc_namespace(cls) -> List[str]:
@@ -95,6 +104,11 @@ class BasePromptTemplate(
     def invoke(
         self, input: Dict, config: Optional[RunnableConfig] = None
     ) -> PromptValue:
+        config = ensure_config(config)
+        if self.metadata:
+            config["metadata"].update(self.metadata)
+        if self.tags:
+            config["tags"].extend(self.tags)
         return self._call_with_config(
             self._format_prompt_with_error_handling,
             input,
diff --git a/libs/core/tests/unit_tests/prompts/test_prompt.py b/libs/core/tests/unit_tests/prompts/test_prompt.py
index f50b71bea80..5075c5c0bb5 100644
--- a/libs/core/tests/unit_tests/prompts/test_prompt.py
+++ b/libs/core/tests/unit_tests/prompts/test_prompt.py
@@ -1,9 +1,11 @@
 """Test functionality related to prompts."""
+
 from unittest import mock
 
 import pytest
 
 from langchain_core.prompts.prompt import PromptTemplate
+from langchain_core.tracers.run_collector import RunCollectorCallbackHandler
 
 
 def test_prompt_valid() -> None:
@@ -328,3 +330,22 @@ def test_prompt_jinja2_wrong_input_variables() -> None:
     assert PromptTemplate(
         input_variables=input_variables, template=template, template_format="jinja2"
     ).input_variables == ["foo"]
+
+
+def test_prompt_invoke_with_metadata() -> None:
+    """Test prompt can be invoked with metadata."""
+    template = "This is a {foo} test."
+    prompt = PromptTemplate(
+        input_variables=["foo"],
+        template=template,
+        metadata={"version": "1"},
+        tags=["tag1", "tag2"],
+    )
+    tracer = RunCollectorCallbackHandler()
+    result = prompt.invoke(
+        {"foo": "bar"}, {"metadata": {"foo": "bar"}, "callbacks": [tracer]}
+    )
+    assert result.to_string() == "This is a bar test."
+    assert len(tracer.traced_runs) == 1
+    assert tracer.traced_runs[0].extra["metadata"] == {"version": "1", "foo": "bar"}  # type: ignore
+    assert tracer.traced_runs[0].tags == ["tag1", "tag2"]  # type: ignore