From 72ca44768c4aedafba43038429bb6daa60d6fb87 Mon Sep 17 00:00:00 2001
From: William Fu-Hinthorn <13333726+hinthornw@users.noreply.github.com>
Date: Fri, 28 Jul 2023 18:27:40 -0700
Subject: [PATCH] spelling

---
 libs/langchain/langchain/evaluation/criteria/prompt.py    | 2 +-
 libs/langchain/langchain/smith/evaluation/runner_utils.py | 6 +++---
 2 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/libs/langchain/langchain/evaluation/criteria/prompt.py b/libs/langchain/langchain/evaluation/criteria/prompt.py
index 1d2a4c3ddc3..46e5fbff1fc 100644
--- a/libs/langchain/langchain/evaluation/criteria/prompt.py
+++ b/libs/langchain/langchain/evaluation/criteria/prompt.py
@@ -81,7 +81,7 @@ def get_prompt_template(
     }
     if strategy not in strat_map:
         raise ValueError(
-            f"Unrecognized evalution strategy {strategy}"
+            f"Unrecognized evaluation strategy {strategy}"
             f"\nMust be one of {list(strat_map.keys())}"
         )
     template = _LABELED_TEMPLATE if requires_references else _TEMPLATE
diff --git a/libs/langchain/langchain/smith/evaluation/runner_utils.py b/libs/langchain/langchain/smith/evaluation/runner_utils.py
index cc32e514c63..756d91f2d3f 100644
--- a/libs/langchain/langchain/smith/evaluation/runner_utils.py
+++ b/libs/langchain/langchain/smith/evaluation/runner_utils.py
@@ -1053,12 +1053,12 @@ def _run_on_examples(
         llm_or_chain_factory, examples, evaluation, data_type
     )
     examples = _validate_example_inputs(examples, llm_or_chain_factory, input_mapper)
-    evalution_handler = EvaluatorCallbackHandler(
+    evaluation_handler = EvaluatorCallbackHandler(
         evaluators=run_evaluators or [],
         client=client,
         project_name=evaluator_project_name,
     )
-    callbacks: List[BaseCallbackHandler] = [tracer, evalution_handler]
+    callbacks: List[BaseCallbackHandler] = [tracer, evaluation_handler]
     for i, example in enumerate(examples):
         result = _run_llm_or_chain(
             example,
@@ -1072,7 +1072,7 @@ def _run_on_examples(
             print(f"{i+1} processed", flush=True, end="\r")
         results[str(example.id)] = result
     tracer.wait_for_futures()
-    evalution_handler.wait_for_futures()
+    evaluation_handler.wait_for_futures()
     return results